input stringlengths 667 7.62k | output stringlengths 41 600 | db_id stringlengths 3 31 | query stringlengths 18 577 | question stringlengths 3 224 | schema stringlengths 177 6.14k | primary_keys stringlengths 16 545 | foreign_keys stringlengths 16 1.48k |
|---|---|---|---|---|---|---|---|
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | debate | people : people_id (text) , district (number) , name (text) , party (text) , age (text) | debate : debate_id (text) , date (number) , venue (text) , num_of_audience (text) | debate_people : debate_id (text) , affirmative (number) , negative (text) , if_affirmative_win (text);</schema>"
<primary_keys>[Primary Keys]: people : people_id, debate : debate_id, debate_people : debate_id</primary_keys>"
<foreign_keys>[Foreign Keys]: debate_people : negative = people : people_id | debate_people : affirmative = people : people_id | debate_people : debate_id = debate : debate_id</foreign_keys>"
Answer the following question with a SQL Statement:<question>Show the distinct venues of debates</question>
[SQL]:
| <SQL_QUERY>SELECT DISTINCT Venue FROM debate</SQL_QUERY> | debate | SELECT DISTINCT Venue FROM debate | Show the distinct venues of debates | [Schema (values) (types)]: | debate | people : people_id (text) , district (number) , name (text) , party (text) , age (text) | debate : debate_id (text) , date (number) , venue (text) , num_of_audience (text) | debate_people : debate_id (text) , affirmative (number) , negative (text) , if_affirmative_win (text); | [Primary Keys]: people : people_id, debate : debate_id, debate_people : debate_id | [Foreign Keys]: debate_people : negative = people : people_id | debate_people : affirmative = people : people_id | debate_people : debate_id = debate : debate_id |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | debate | people : people_id (text) , district (number) , name (text) , party (text) , age (text) | debate : debate_id (text) , date (number) , venue (text) , num_of_audience (text) | debate_people : debate_id (text) , affirmative (number) , negative (text) , if_affirmative_win (text);</schema>"
<primary_keys>[Primary Keys]: people : people_id, debate : debate_id, debate_people : debate_id</primary_keys>"
<foreign_keys>[Foreign Keys]: debate_people : negative = people : people_id | debate_people : affirmative = people : people_id | debate_people : debate_id = debate : debate_id</foreign_keys>"
Answer the following question with a SQL Statement:<question>Show the names of people, and dates and venues of debates they are on the affirmative side.</question>
[SQL]:
| <SQL_QUERY>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</SQL_QUERY> | 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. | [Schema (values) (types)]: | debate | people : people_id (text) , district (number) , name (text) , party (text) , age (text) | debate : debate_id (text) , date (number) , venue (text) , num_of_audience (text) | debate_people : debate_id (text) , affirmative (number) , negative (text) , if_affirmative_win (text); | [Primary Keys]: people : people_id, debate : debate_id, debate_people : debate_id | [Foreign Keys]: debate_people : negative = people : people_id | debate_people : affirmative = people : people_id | debate_people : debate_id = debate : debate_id |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | debate | people : people_id (text) , district (number) , name (text) , party (text) , age (text) | debate : debate_id (text) , date (number) , venue (text) , num_of_audience (text) | debate_people : debate_id (text) , affirmative (number) , negative (text) , if_affirmative_win (text);</schema>"
<primary_keys>[Primary Keys]: people : people_id, debate : debate_id, debate_people : debate_id</primary_keys>"
<foreign_keys>[Foreign Keys]: debate_people : negative = people : people_id | debate_people : affirmative = people : people_id | debate_people : debate_id = debate : debate_id</foreign_keys>"
Answer the following question with a SQL Statement:<question>Show the names of people, and dates and venues of debates they are on the negative side, ordered in ascending alphabetical order of name.</question>
[SQL]:
| <SQL_QUERY>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</SQL_QUERY> | 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. | [Schema (values) (types)]: | debate | people : people_id (text) , district (number) , name (text) , party (text) , age (text) | debate : debate_id (text) , date (number) , venue (text) , num_of_audience (text) | debate_people : debate_id (text) , affirmative (number) , negative (text) , if_affirmative_win (text); | [Primary Keys]: people : people_id, debate : debate_id, debate_people : debate_id | [Foreign Keys]: debate_people : negative = people : people_id | debate_people : affirmative = people : people_id | debate_people : debate_id = debate : debate_id |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | debate | people : people_id (text) , district (number) , name (text) , party (text) , age (text) | debate : debate_id (text) , date (number) , venue (text) , num_of_audience (text) | debate_people : debate_id (text) , affirmative (number) , negative (text) , if_affirmative_win (text);</schema>"
<primary_keys>[Primary Keys]: people : people_id, debate : debate_id, debate_people : debate_id</primary_keys>"
<foreign_keys>[Foreign Keys]: debate_people : negative = people : people_id | debate_people : affirmative = people : people_id | debate_people : debate_id = debate : debate_id</foreign_keys>"
Answer the following question with a SQL Statement:<question>Show the names of people that are on affirmative side of debates with number of audience bigger than 200.</question>
[SQL]:
| <SQL_QUERY>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</SQL_QUERY> | 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. | [Schema (values) (types)]: | debate | people : people_id (text) , district (number) , name (text) , party (text) , age (text) | debate : debate_id (text) , date (number) , venue (text) , num_of_audience (text) | debate_people : debate_id (text) , affirmative (number) , negative (text) , if_affirmative_win (text); | [Primary Keys]: people : people_id, debate : debate_id, debate_people : debate_id | [Foreign Keys]: debate_people : negative = people : people_id | debate_people : affirmative = people : people_id | debate_people : debate_id = debate : debate_id |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | debate | people : people_id (text) , district (number) , name (text) , party (text) , age (text) | debate : debate_id (text) , date (number) , venue (text) , num_of_audience (text) | debate_people : debate_id (text) , affirmative (number) , negative (text) , if_affirmative_win (text);</schema>"
<primary_keys>[Primary Keys]: people : people_id, debate : debate_id, debate_people : debate_id</primary_keys>"
<foreign_keys>[Foreign Keys]: debate_people : negative = people : people_id | debate_people : affirmative = people : people_id | debate_people : debate_id = debate : debate_id</foreign_keys>"
Answer the following question with a SQL Statement:<question>Show the names of people and the number of times they have been on the affirmative side of debates.</question>
[SQL]:
| <SQL_QUERY>SELECT T2.Name , COUNT(*) FROM debate_people AS T1 JOIN people AS T2 ON T1.Affirmative = T2.People_ID GROUP BY T2.Name</SQL_QUERY> | 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. | [Schema (values) (types)]: | debate | people : people_id (text) , district (number) , name (text) , party (text) , age (text) | debate : debate_id (text) , date (number) , venue (text) , num_of_audience (text) | debate_people : debate_id (text) , affirmative (number) , negative (text) , if_affirmative_win (text); | [Primary Keys]: people : people_id, debate : debate_id, debate_people : debate_id | [Foreign Keys]: debate_people : negative = people : people_id | debate_people : affirmative = people : people_id | debate_people : debate_id = debate : debate_id |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | debate | people : people_id (text) , district (number) , name (text) , party (text) , age (text) | debate : debate_id (text) , date (number) , venue (text) , num_of_audience (text) | debate_people : debate_id (text) , affirmative (number) , negative (text) , if_affirmative_win (text);</schema>"
<primary_keys>[Primary Keys]: people : people_id, debate : debate_id, debate_people : debate_id</primary_keys>"
<foreign_keys>[Foreign Keys]: debate_people : negative = people : people_id | debate_people : affirmative = people : people_id | debate_people : debate_id = debate : debate_id</foreign_keys>"
Answer the following question with a SQL Statement:<question>Show the names of people who have been on the negative side of debates at least twice.</question>
[SQL]:
| <SQL_QUERY>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</SQL_QUERY> | 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. | [Schema (values) (types)]: | debate | people : people_id (text) , district (number) , name (text) , party (text) , age (text) | debate : debate_id (text) , date (number) , venue (text) , num_of_audience (text) | debate_people : debate_id (text) , affirmative (number) , negative (text) , if_affirmative_win (text); | [Primary Keys]: people : people_id, debate : debate_id, debate_people : debate_id | [Foreign Keys]: debate_people : negative = people : people_id | debate_people : affirmative = people : people_id | debate_people : debate_id = debate : debate_id |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | debate | people : people_id (text) , district (number) , name (text) , party (text) , age (text) | debate : debate_id (text) , date (number) , venue (text) , num_of_audience (text) | debate_people : debate_id (text) , affirmative (number) , negative (text) , if_affirmative_win (text);</schema>"
<primary_keys>[Primary Keys]: people : people_id, debate : debate_id, debate_people : debate_id</primary_keys>"
<foreign_keys>[Foreign Keys]: debate_people : negative = people : people_id | debate_people : affirmative = people : people_id | debate_people : debate_id = debate : debate_id</foreign_keys>"
Answer the following question with a SQL Statement:<question>List the names of people that have not been on the affirmative side of debates.</question>
[SQL]:
| <SQL_QUERY>SELECT Name FROM people WHERE People_id NOT IN (SELECT Affirmative FROM debate_people)</SQL_QUERY> | 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. | [Schema (values) (types)]: | debate | people : people_id (text) , district (number) , name (text) , party (text) , age (text) | debate : debate_id (text) , date (number) , venue (text) , num_of_audience (text) | debate_people : debate_id (text) , affirmative (number) , negative (text) , if_affirmative_win (text); | [Primary Keys]: people : people_id, debate : debate_id, debate_people : debate_id | [Foreign Keys]: debate_people : negative = people : people_id | debate_people : affirmative = people : people_id | debate_people : debate_id = debate : debate_id |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | insurance_and_eClaims | Customers : customer_id (text) , customer_details (number) | Staff : staff_id (text) , staff_details (number) | Policies : policy_id (text) , customer_id (number) , policy_type_code (text) , start_date (number) , end_date (text) | Claim_Headers : claim_header_id (text) , claim_status_code (number) , claim_type_code (text) , policy_id (number) , date_of_claim (text) , date_of_settlement (number) , amount_claimed (number) , amount_piad (text) | Claims_Documents : claim_id (text) , document_type_code (number) , created_by_staff_id (text) , created_date (number) | Claims_Processing_Stages : claim_stage_id (text) , next_claim_stage_id (number) , claim_status_name (text) , claim_status_description (number) | Claims_Processing : claim_processing_id (text) , claim_id (number) , claim_outcome_code (text) , claim_stage_id (number) , staff_id (text);</schema>"
<primary_keys>[Primary Keys]: customers : customer_id, staff : staff_id, policies : policy_id, claim_headers : claim_header_id, claims_documents : claim_id, claims_processing_stages : claim_stage_id, claims_processing : claim_processing_id</primary_keys>"
<foreign_keys>[Foreign Keys]: policies : customer_id = customers : customer_id | claim_headers : policy_id = policies : policy_id | claims_documents : created_by_staff_id = staff : staff_id | claims_documents : claim_id = claim_headers : claim_header_id | claims_processing : staff_id = staff : staff_id | claims_processing : claim_id = claim_headers : claim_header_id</foreign_keys>"
Answer the following question with a SQL Statement:<question>List the names of all the customers in alphabetical order.</question>
[SQL]:
| <SQL_QUERY>SELECT customer_details FROM customers ORDER BY customer_details</SQL_QUERY> | insurance_and_eClaims | SELECT customer_details FROM customers ORDER BY customer_details | List the names of all the customers in alphabetical order. | [Schema (values) (types)]: | insurance_and_eClaims | Customers : customer_id (text) , customer_details (number) | Staff : staff_id (text) , staff_details (number) | Policies : policy_id (text) , customer_id (number) , policy_type_code (text) , start_date (number) , end_date (text) | Claim_Headers : claim_header_id (text) , claim_status_code (number) , claim_type_code (text) , policy_id (number) , date_of_claim (text) , date_of_settlement (number) , amount_claimed (number) , amount_piad (text) | Claims_Documents : claim_id (text) , document_type_code (number) , created_by_staff_id (text) , created_date (number) | Claims_Processing_Stages : claim_stage_id (text) , next_claim_stage_id (number) , claim_status_name (text) , claim_status_description (number) | Claims_Processing : claim_processing_id (text) , claim_id (number) , claim_outcome_code (text) , claim_stage_id (number) , staff_id (text); | [Primary Keys]: customers : customer_id, staff : staff_id, policies : policy_id, claim_headers : claim_header_id, claims_documents : claim_id, claims_processing_stages : claim_stage_id, claims_processing : claim_processing_id | [Foreign Keys]: policies : customer_id = customers : customer_id | claim_headers : policy_id = policies : policy_id | claims_documents : created_by_staff_id = staff : staff_id | claims_documents : claim_id = claim_headers : claim_header_id | claims_processing : staff_id = staff : staff_id | claims_processing : claim_id = claim_headers : claim_header_id |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | insurance_and_eClaims | Customers : customer_id (text) , customer_details (number) | Staff : staff_id (text) , staff_details (number) | Policies : policy_id (text) , customer_id (number) , policy_type_code (text) , start_date (number) , end_date (text) | Claim_Headers : claim_header_id (text) , claim_status_code (number) , claim_type_code (text) , policy_id (number) , date_of_claim (text) , date_of_settlement (number) , amount_claimed (number) , amount_piad (text) | Claims_Documents : claim_id (text) , document_type_code (number) , created_by_staff_id (text) , created_date (number) | Claims_Processing_Stages : claim_stage_id (text) , next_claim_stage_id (number) , claim_status_name (text) , claim_status_description (number) | Claims_Processing : claim_processing_id (text) , claim_id (number) , claim_outcome_code (text) , claim_stage_id (number) , staff_id (text);</schema>"
<primary_keys>[Primary Keys]: customers : customer_id, staff : staff_id, policies : policy_id, claim_headers : claim_header_id, claims_documents : claim_id, claims_processing_stages : claim_stage_id, claims_processing : claim_processing_id</primary_keys>"
<foreign_keys>[Foreign Keys]: policies : customer_id = customers : customer_id | claim_headers : policy_id = policies : policy_id | claims_documents : created_by_staff_id = staff : staff_id | claims_documents : claim_id = claim_headers : claim_header_id | claims_processing : staff_id = staff : staff_id | claims_processing : claim_id = claim_headers : claim_header_id</foreign_keys>"
Answer the following question with a SQL Statement:<question>Sort the customer names in alphabetical order.</question>
[SQL]:
| <SQL_QUERY>SELECT customer_details FROM customers ORDER BY customer_details</SQL_QUERY> | insurance_and_eClaims | SELECT customer_details FROM customers ORDER BY customer_details | Sort the customer names in alphabetical order. | [Schema (values) (types)]: | insurance_and_eClaims | Customers : customer_id (text) , customer_details (number) | Staff : staff_id (text) , staff_details (number) | Policies : policy_id (text) , customer_id (number) , policy_type_code (text) , start_date (number) , end_date (text) | Claim_Headers : claim_header_id (text) , claim_status_code (number) , claim_type_code (text) , policy_id (number) , date_of_claim (text) , date_of_settlement (number) , amount_claimed (number) , amount_piad (text) | Claims_Documents : claim_id (text) , document_type_code (number) , created_by_staff_id (text) , created_date (number) | Claims_Processing_Stages : claim_stage_id (text) , next_claim_stage_id (number) , claim_status_name (text) , claim_status_description (number) | Claims_Processing : claim_processing_id (text) , claim_id (number) , claim_outcome_code (text) , claim_stage_id (number) , staff_id (text); | [Primary Keys]: customers : customer_id, staff : staff_id, policies : policy_id, claim_headers : claim_header_id, claims_documents : claim_id, claims_processing_stages : claim_stage_id, claims_processing : claim_processing_id | [Foreign Keys]: policies : customer_id = customers : customer_id | claim_headers : policy_id = policies : policy_id | claims_documents : created_by_staff_id = staff : staff_id | claims_documents : claim_id = claim_headers : claim_header_id | claims_processing : staff_id = staff : staff_id | claims_processing : claim_id = claim_headers : claim_header_id |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | insurance_and_eClaims | Customers : customer_id (text) , customer_details (number) | Staff : staff_id (text) , staff_details (number) | Policies : policy_id (text) , customer_id (number) , policy_type_code (text) , start_date (number) , end_date (text) | Claim_Headers : claim_header_id (text) , claim_status_code (number) , claim_type_code (text) , policy_id (number) , date_of_claim (text) , date_of_settlement (number) , amount_claimed (number) , amount_piad (text) | Claims_Documents : claim_id (text) , document_type_code (number) , created_by_staff_id (text) , created_date (number) | Claims_Processing_Stages : claim_stage_id (text) , next_claim_stage_id (number) , claim_status_name (text) , claim_status_description (number) | Claims_Processing : claim_processing_id (text) , claim_id (number) , claim_outcome_code (text) , claim_stage_id (number) , staff_id (text);</schema>"
<primary_keys>[Primary Keys]: customers : customer_id, staff : staff_id, policies : policy_id, claim_headers : claim_header_id, claims_documents : claim_id, claims_processing_stages : claim_stage_id, claims_processing : claim_processing_id</primary_keys>"
<foreign_keys>[Foreign Keys]: policies : customer_id = customers : customer_id | claim_headers : policy_id = policies : policy_id | claims_documents : created_by_staff_id = staff : staff_id | claims_documents : claim_id = claim_headers : claim_header_id | claims_processing : staff_id = staff : staff_id | claims_processing : claim_id = claim_headers : claim_header_id</foreign_keys>"
Answer the following question with a SQL Statement:<question>Find all the policy type codes associated with the customer "Dayana Robel"</question>
[SQL]:
| <SQL_QUERY>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"</SQL_QUERY> | 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" | [Schema (values) (types)]: | insurance_and_eClaims | Customers : customer_id (text) , customer_details (number) | Staff : staff_id (text) , staff_details (number) | Policies : policy_id (text) , customer_id (number) , policy_type_code (text) , start_date (number) , end_date (text) | Claim_Headers : claim_header_id (text) , claim_status_code (number) , claim_type_code (text) , policy_id (number) , date_of_claim (text) , date_of_settlement (number) , amount_claimed (number) , amount_piad (text) | Claims_Documents : claim_id (text) , document_type_code (number) , created_by_staff_id (text) , created_date (number) | Claims_Processing_Stages : claim_stage_id (text) , next_claim_stage_id (number) , claim_status_name (text) , claim_status_description (number) | Claims_Processing : claim_processing_id (text) , claim_id (number) , claim_outcome_code (text) , claim_stage_id (number) , staff_id (text); | [Primary Keys]: customers : customer_id, staff : staff_id, policies : policy_id, claim_headers : claim_header_id, claims_documents : claim_id, claims_processing_stages : claim_stage_id, claims_processing : claim_processing_id | [Foreign Keys]: policies : customer_id = customers : customer_id | claim_headers : policy_id = policies : policy_id | claims_documents : created_by_staff_id = staff : staff_id | claims_documents : claim_id = claim_headers : claim_header_id | claims_processing : staff_id = staff : staff_id | claims_processing : claim_id = claim_headers : claim_header_id |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | insurance_and_eClaims | Customers : customer_id (text) , customer_details (number) | Staff : staff_id (text) , staff_details (number) | Policies : policy_id (text) , customer_id (number) , policy_type_code (text) , start_date (number) , end_date (text) | Claim_Headers : claim_header_id (text) , claim_status_code (number) , claim_type_code (text) , policy_id (number) , date_of_claim (text) , date_of_settlement (number) , amount_claimed (number) , amount_piad (text) | Claims_Documents : claim_id (text) , document_type_code (number) , created_by_staff_id (text) , created_date (number) | Claims_Processing_Stages : claim_stage_id (text) , next_claim_stage_id (number) , claim_status_name (text) , claim_status_description (number) | Claims_Processing : claim_processing_id (text) , claim_id (number) , claim_outcome_code (text) , claim_stage_id (number) , staff_id (text);</schema>"
<primary_keys>[Primary Keys]: customers : customer_id, staff : staff_id, policies : policy_id, claim_headers : claim_header_id, claims_documents : claim_id, claims_processing_stages : claim_stage_id, claims_processing : claim_processing_id</primary_keys>"
<foreign_keys>[Foreign Keys]: policies : customer_id = customers : customer_id | claim_headers : policy_id = policies : policy_id | claims_documents : created_by_staff_id = staff : staff_id | claims_documents : claim_id = claim_headers : claim_header_id | claims_processing : staff_id = staff : staff_id | claims_processing : claim_id = claim_headers : claim_header_id</foreign_keys>"
Answer the following question with a SQL Statement:<question>What are the type codes of the policies used by the customer "Dayana Robel"?</question>
[SQL]:
| <SQL_QUERY>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"</SQL_QUERY> | 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"? | [Schema (values) (types)]: | insurance_and_eClaims | Customers : customer_id (text) , customer_details (number) | Staff : staff_id (text) , staff_details (number) | Policies : policy_id (text) , customer_id (number) , policy_type_code (text) , start_date (number) , end_date (text) | Claim_Headers : claim_header_id (text) , claim_status_code (number) , claim_type_code (text) , policy_id (number) , date_of_claim (text) , date_of_settlement (number) , amount_claimed (number) , amount_piad (text) | Claims_Documents : claim_id (text) , document_type_code (number) , created_by_staff_id (text) , created_date (number) | Claims_Processing_Stages : claim_stage_id (text) , next_claim_stage_id (number) , claim_status_name (text) , claim_status_description (number) | Claims_Processing : claim_processing_id (text) , claim_id (number) , claim_outcome_code (text) , claim_stage_id (number) , staff_id (text); | [Primary Keys]: customers : customer_id, staff : staff_id, policies : policy_id, claim_headers : claim_header_id, claims_documents : claim_id, claims_processing_stages : claim_stage_id, claims_processing : claim_processing_id | [Foreign Keys]: policies : customer_id = customers : customer_id | claim_headers : policy_id = policies : policy_id | claims_documents : created_by_staff_id = staff : staff_id | claims_documents : claim_id = claim_headers : claim_header_id | claims_processing : staff_id = staff : staff_id | claims_processing : claim_id = claim_headers : claim_header_id |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | insurance_and_eClaims | Customers : customer_id (text) , customer_details (number) | Staff : staff_id (text) , staff_details (number) | Policies : policy_id (text) , customer_id (number) , policy_type_code (text) , start_date (number) , end_date (text) | Claim_Headers : claim_header_id (text) , claim_status_code (number) , claim_type_code (text) , policy_id (number) , date_of_claim (text) , date_of_settlement (number) , amount_claimed (number) , amount_piad (text) | Claims_Documents : claim_id (text) , document_type_code (number) , created_by_staff_id (text) , created_date (number) | Claims_Processing_Stages : claim_stage_id (text) , next_claim_stage_id (number) , claim_status_name (text) , claim_status_description (number) | Claims_Processing : claim_processing_id (text) , claim_id (number) , claim_outcome_code (text) , claim_stage_id (number) , staff_id (text);</schema>"
<primary_keys>[Primary Keys]: customers : customer_id, staff : staff_id, policies : policy_id, claim_headers : claim_header_id, claims_documents : claim_id, claims_processing_stages : claim_stage_id, claims_processing : claim_processing_id</primary_keys>"
<foreign_keys>[Foreign Keys]: policies : customer_id = customers : customer_id | claim_headers : policy_id = policies : policy_id | claims_documents : created_by_staff_id = staff : staff_id | claims_documents : claim_id = claim_headers : claim_header_id | claims_processing : staff_id = staff : staff_id | claims_processing : claim_id = claim_headers : claim_header_id</foreign_keys>"
Answer the following question with a SQL Statement:<question>Which type of policy is most frequently used? Give me the policy type code.</question>
[SQL]:
| <SQL_QUERY>SELECT policy_type_code FROM policies GROUP BY policy_type_code ORDER BY count(*) DESC LIMIT 1</SQL_QUERY> | 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. | [Schema (values) (types)]: | insurance_and_eClaims | Customers : customer_id (text) , customer_details (number) | Staff : staff_id (text) , staff_details (number) | Policies : policy_id (text) , customer_id (number) , policy_type_code (text) , start_date (number) , end_date (text) | Claim_Headers : claim_header_id (text) , claim_status_code (number) , claim_type_code (text) , policy_id (number) , date_of_claim (text) , date_of_settlement (number) , amount_claimed (number) , amount_piad (text) | Claims_Documents : claim_id (text) , document_type_code (number) , created_by_staff_id (text) , created_date (number) | Claims_Processing_Stages : claim_stage_id (text) , next_claim_stage_id (number) , claim_status_name (text) , claim_status_description (number) | Claims_Processing : claim_processing_id (text) , claim_id (number) , claim_outcome_code (text) , claim_stage_id (number) , staff_id (text); | [Primary Keys]: customers : customer_id, staff : staff_id, policies : policy_id, claim_headers : claim_header_id, claims_documents : claim_id, claims_processing_stages : claim_stage_id, claims_processing : claim_processing_id | [Foreign Keys]: policies : customer_id = customers : customer_id | claim_headers : policy_id = policies : policy_id | claims_documents : created_by_staff_id = staff : staff_id | claims_documents : claim_id = claim_headers : claim_header_id | claims_processing : staff_id = staff : staff_id | claims_processing : claim_id = claim_headers : claim_header_id |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | insurance_and_eClaims | Customers : customer_id (text) , customer_details (number) | Staff : staff_id (text) , staff_details (number) | Policies : policy_id (text) , customer_id (number) , policy_type_code (text) , start_date (number) , end_date (text) | Claim_Headers : claim_header_id (text) , claim_status_code (number) , claim_type_code (text) , policy_id (number) , date_of_claim (text) , date_of_settlement (number) , amount_claimed (number) , amount_piad (text) | Claims_Documents : claim_id (text) , document_type_code (number) , created_by_staff_id (text) , created_date (number) | Claims_Processing_Stages : claim_stage_id (text) , next_claim_stage_id (number) , claim_status_name (text) , claim_status_description (number) | Claims_Processing : claim_processing_id (text) , claim_id (number) , claim_outcome_code (text) , claim_stage_id (number) , staff_id (text);</schema>"
<primary_keys>[Primary Keys]: customers : customer_id, staff : staff_id, policies : policy_id, claim_headers : claim_header_id, claims_documents : claim_id, claims_processing_stages : claim_stage_id, claims_processing : claim_processing_id</primary_keys>"
<foreign_keys>[Foreign Keys]: policies : customer_id = customers : customer_id | claim_headers : policy_id = policies : policy_id | claims_documents : created_by_staff_id = staff : staff_id | claims_documents : claim_id = claim_headers : claim_header_id | claims_processing : staff_id = staff : staff_id | claims_processing : claim_id = claim_headers : claim_header_id</foreign_keys>"
Answer the following question with a SQL Statement:<question>Find the type code of the most frequently used policy.</question>
[SQL]:
| <SQL_QUERY>SELECT policy_type_code FROM policies GROUP BY policy_type_code ORDER BY count(*) DESC LIMIT 1</SQL_QUERY> | 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. | [Schema (values) (types)]: | insurance_and_eClaims | Customers : customer_id (text) , customer_details (number) | Staff : staff_id (text) , staff_details (number) | Policies : policy_id (text) , customer_id (number) , policy_type_code (text) , start_date (number) , end_date (text) | Claim_Headers : claim_header_id (text) , claim_status_code (number) , claim_type_code (text) , policy_id (number) , date_of_claim (text) , date_of_settlement (number) , amount_claimed (number) , amount_piad (text) | Claims_Documents : claim_id (text) , document_type_code (number) , created_by_staff_id (text) , created_date (number) | Claims_Processing_Stages : claim_stage_id (text) , next_claim_stage_id (number) , claim_status_name (text) , claim_status_description (number) | Claims_Processing : claim_processing_id (text) , claim_id (number) , claim_outcome_code (text) , claim_stage_id (number) , staff_id (text); | [Primary Keys]: customers : customer_id, staff : staff_id, policies : policy_id, claim_headers : claim_header_id, claims_documents : claim_id, claims_processing_stages : claim_stage_id, claims_processing : claim_processing_id | [Foreign Keys]: policies : customer_id = customers : customer_id | claim_headers : policy_id = policies : policy_id | claims_documents : created_by_staff_id = staff : staff_id | claims_documents : claim_id = claim_headers : claim_header_id | claims_processing : staff_id = staff : staff_id | claims_processing : claim_id = claim_headers : claim_header_id |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | insurance_and_eClaims | Customers : customer_id (text) , customer_details (number) | Staff : staff_id (text) , staff_details (number) | Policies : policy_id (text) , customer_id (number) , policy_type_code (text) , start_date (number) , end_date (text) | Claim_Headers : claim_header_id (text) , claim_status_code (number) , claim_type_code (text) , policy_id (number) , date_of_claim (text) , date_of_settlement (number) , amount_claimed (number) , amount_piad (text) | Claims_Documents : claim_id (text) , document_type_code (number) , created_by_staff_id (text) , created_date (number) | Claims_Processing_Stages : claim_stage_id (text) , next_claim_stage_id (number) , claim_status_name (text) , claim_status_description (number) | Claims_Processing : claim_processing_id (text) , claim_id (number) , claim_outcome_code (text) , claim_stage_id (number) , staff_id (text);</schema>"
<primary_keys>[Primary Keys]: customers : customer_id, staff : staff_id, policies : policy_id, claim_headers : claim_header_id, claims_documents : claim_id, claims_processing_stages : claim_stage_id, claims_processing : claim_processing_id</primary_keys>"
<foreign_keys>[Foreign Keys]: policies : customer_id = customers : customer_id | claim_headers : policy_id = policies : policy_id | claims_documents : created_by_staff_id = staff : staff_id | claims_documents : claim_id = claim_headers : claim_header_id | claims_processing : staff_id = staff : staff_id | claims_processing : claim_id = claim_headers : claim_header_id</foreign_keys>"
Answer the following question with a SQL Statement:<question>Find all the policy types that are used by more than 2 customers.</question>
[SQL]:
| <SQL_QUERY>SELECT policy_type_code FROM policies GROUP BY policy_type_code HAVING count(*) > 2</SQL_QUERY> | 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. | [Schema (values) (types)]: | insurance_and_eClaims | Customers : customer_id (text) , customer_details (number) | Staff : staff_id (text) , staff_details (number) | Policies : policy_id (text) , customer_id (number) , policy_type_code (text) , start_date (number) , end_date (text) | Claim_Headers : claim_header_id (text) , claim_status_code (number) , claim_type_code (text) , policy_id (number) , date_of_claim (text) , date_of_settlement (number) , amount_claimed (number) , amount_piad (text) | Claims_Documents : claim_id (text) , document_type_code (number) , created_by_staff_id (text) , created_date (number) | Claims_Processing_Stages : claim_stage_id (text) , next_claim_stage_id (number) , claim_status_name (text) , claim_status_description (number) | Claims_Processing : claim_processing_id (text) , claim_id (number) , claim_outcome_code (text) , claim_stage_id (number) , staff_id (text); | [Primary Keys]: customers : customer_id, staff : staff_id, policies : policy_id, claim_headers : claim_header_id, claims_documents : claim_id, claims_processing_stages : claim_stage_id, claims_processing : claim_processing_id | [Foreign Keys]: policies : customer_id = customers : customer_id | claim_headers : policy_id = policies : policy_id | claims_documents : created_by_staff_id = staff : staff_id | claims_documents : claim_id = claim_headers : claim_header_id | claims_processing : staff_id = staff : staff_id | claims_processing : claim_id = claim_headers : claim_header_id |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | insurance_and_eClaims | Customers : customer_id (text) , customer_details (number) | Staff : staff_id (text) , staff_details (number) | Policies : policy_id (text) , customer_id (number) , policy_type_code (text) , start_date (number) , end_date (text) | Claim_Headers : claim_header_id (text) , claim_status_code (number) , claim_type_code (text) , policy_id (number) , date_of_claim (text) , date_of_settlement (number) , amount_claimed (number) , amount_piad (text) | Claims_Documents : claim_id (text) , document_type_code (number) , created_by_staff_id (text) , created_date (number) | Claims_Processing_Stages : claim_stage_id (text) , next_claim_stage_id (number) , claim_status_name (text) , claim_status_description (number) | Claims_Processing : claim_processing_id (text) , claim_id (number) , claim_outcome_code (text) , claim_stage_id (number) , staff_id (text);</schema>"
<primary_keys>[Primary Keys]: customers : customer_id, staff : staff_id, policies : policy_id, claim_headers : claim_header_id, claims_documents : claim_id, claims_processing_stages : claim_stage_id, claims_processing : claim_processing_id</primary_keys>"
<foreign_keys>[Foreign Keys]: policies : customer_id = customers : customer_id | claim_headers : policy_id = policies : policy_id | claims_documents : created_by_staff_id = staff : staff_id | claims_documents : claim_id = claim_headers : claim_header_id | claims_processing : staff_id = staff : staff_id | claims_processing : claim_id = claim_headers : claim_header_id</foreign_keys>"
Answer the following question with a SQL Statement:<question>Which types of policy are chosen by more than 2 customers? Give me the policy type codes.</question>
[SQL]:
| <SQL_QUERY>SELECT policy_type_code FROM policies GROUP BY policy_type_code HAVING count(*) > 2</SQL_QUERY> | 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. | [Schema (values) (types)]: | insurance_and_eClaims | Customers : customer_id (text) , customer_details (number) | Staff : staff_id (text) , staff_details (number) | Policies : policy_id (text) , customer_id (number) , policy_type_code (text) , start_date (number) , end_date (text) | Claim_Headers : claim_header_id (text) , claim_status_code (number) , claim_type_code (text) , policy_id (number) , date_of_claim (text) , date_of_settlement (number) , amount_claimed (number) , amount_piad (text) | Claims_Documents : claim_id (text) , document_type_code (number) , created_by_staff_id (text) , created_date (number) | Claims_Processing_Stages : claim_stage_id (text) , next_claim_stage_id (number) , claim_status_name (text) , claim_status_description (number) | Claims_Processing : claim_processing_id (text) , claim_id (number) , claim_outcome_code (text) , claim_stage_id (number) , staff_id (text); | [Primary Keys]: customers : customer_id, staff : staff_id, policies : policy_id, claim_headers : claim_header_id, claims_documents : claim_id, claims_processing_stages : claim_stage_id, claims_processing : claim_processing_id | [Foreign Keys]: policies : customer_id = customers : customer_id | claim_headers : policy_id = policies : policy_id | claims_documents : created_by_staff_id = staff : staff_id | claims_documents : claim_id = claim_headers : claim_header_id | claims_processing : staff_id = staff : staff_id | claims_processing : claim_id = claim_headers : claim_header_id |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | insurance_and_eClaims | Customers : customer_id (text) , customer_details (number) | Staff : staff_id (text) , staff_details (number) | Policies : policy_id (text) , customer_id (number) , policy_type_code (text) , start_date (number) , end_date (text) | Claim_Headers : claim_header_id (text) , claim_status_code (number) , claim_type_code (text) , policy_id (number) , date_of_claim (text) , date_of_settlement (number) , amount_claimed (number) , amount_piad (text) | Claims_Documents : claim_id (text) , document_type_code (number) , created_by_staff_id (text) , created_date (number) | Claims_Processing_Stages : claim_stage_id (text) , next_claim_stage_id (number) , claim_status_name (text) , claim_status_description (number) | Claims_Processing : claim_processing_id (text) , claim_id (number) , claim_outcome_code (text) , claim_stage_id (number) , staff_id (text);</schema>"
<primary_keys>[Primary Keys]: customers : customer_id, staff : staff_id, policies : policy_id, claim_headers : claim_header_id, claims_documents : claim_id, claims_processing_stages : claim_stage_id, claims_processing : claim_processing_id</primary_keys>"
<foreign_keys>[Foreign Keys]: policies : customer_id = customers : customer_id | claim_headers : policy_id = policies : policy_id | claims_documents : created_by_staff_id = staff : staff_id | claims_documents : claim_id = claim_headers : claim_header_id | claims_processing : staff_id = staff : staff_id | claims_processing : claim_id = claim_headers : claim_header_id</foreign_keys>"
Answer the following question with a SQL Statement:<question>Find the total and average amount paid in claim headers.</question>
[SQL]:
| <SQL_QUERY>SELECT sum(amount_piad) , avg(amount_piad) FROM claim_headers</SQL_QUERY> | insurance_and_eClaims | SELECT sum(amount_piad) , avg(amount_piad) FROM claim_headers | Find the total and average amount paid in claim headers. | [Schema (values) (types)]: | insurance_and_eClaims | Customers : customer_id (text) , customer_details (number) | Staff : staff_id (text) , staff_details (number) | Policies : policy_id (text) , customer_id (number) , policy_type_code (text) , start_date (number) , end_date (text) | Claim_Headers : claim_header_id (text) , claim_status_code (number) , claim_type_code (text) , policy_id (number) , date_of_claim (text) , date_of_settlement (number) , amount_claimed (number) , amount_piad (text) | Claims_Documents : claim_id (text) , document_type_code (number) , created_by_staff_id (text) , created_date (number) | Claims_Processing_Stages : claim_stage_id (text) , next_claim_stage_id (number) , claim_status_name (text) , claim_status_description (number) | Claims_Processing : claim_processing_id (text) , claim_id (number) , claim_outcome_code (text) , claim_stage_id (number) , staff_id (text); | [Primary Keys]: customers : customer_id, staff : staff_id, policies : policy_id, claim_headers : claim_header_id, claims_documents : claim_id, claims_processing_stages : claim_stage_id, claims_processing : claim_processing_id | [Foreign Keys]: policies : customer_id = customers : customer_id | claim_headers : policy_id = policies : policy_id | claims_documents : created_by_staff_id = staff : staff_id | claims_documents : claim_id = claim_headers : claim_header_id | claims_processing : staff_id = staff : staff_id | claims_processing : claim_id = claim_headers : claim_header_id |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | insurance_and_eClaims | Customers : customer_id (text) , customer_details (number) | Staff : staff_id (text) , staff_details (number) | Policies : policy_id (text) , customer_id (number) , policy_type_code (text) , start_date (number) , end_date (text) | Claim_Headers : claim_header_id (text) , claim_status_code (number) , claim_type_code (text) , policy_id (number) , date_of_claim (text) , date_of_settlement (number) , amount_claimed (number) , amount_piad (text) | Claims_Documents : claim_id (text) , document_type_code (number) , created_by_staff_id (text) , created_date (number) | Claims_Processing_Stages : claim_stage_id (text) , next_claim_stage_id (number) , claim_status_name (text) , claim_status_description (number) | Claims_Processing : claim_processing_id (text) , claim_id (number) , claim_outcome_code (text) , claim_stage_id (number) , staff_id (text);</schema>"
<primary_keys>[Primary Keys]: customers : customer_id, staff : staff_id, policies : policy_id, claim_headers : claim_header_id, claims_documents : claim_id, claims_processing_stages : claim_stage_id, claims_processing : claim_processing_id</primary_keys>"
<foreign_keys>[Foreign Keys]: policies : customer_id = customers : customer_id | claim_headers : policy_id = policies : policy_id | claims_documents : created_by_staff_id = staff : staff_id | claims_documents : claim_id = claim_headers : claim_header_id | claims_processing : staff_id = staff : staff_id | claims_processing : claim_id = claim_headers : claim_header_id</foreign_keys>"
Answer the following question with a SQL Statement:<question>What are the total amount and average amount paid in claim headers?</question>
[SQL]:
| <SQL_QUERY>SELECT sum(amount_piad) , avg(amount_piad) FROM claim_headers</SQL_QUERY> | 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? | [Schema (values) (types)]: | insurance_and_eClaims | Customers : customer_id (text) , customer_details (number) | Staff : staff_id (text) , staff_details (number) | Policies : policy_id (text) , customer_id (number) , policy_type_code (text) , start_date (number) , end_date (text) | Claim_Headers : claim_header_id (text) , claim_status_code (number) , claim_type_code (text) , policy_id (number) , date_of_claim (text) , date_of_settlement (number) , amount_claimed (number) , amount_piad (text) | Claims_Documents : claim_id (text) , document_type_code (number) , created_by_staff_id (text) , created_date (number) | Claims_Processing_Stages : claim_stage_id (text) , next_claim_stage_id (number) , claim_status_name (text) , claim_status_description (number) | Claims_Processing : claim_processing_id (text) , claim_id (number) , claim_outcome_code (text) , claim_stage_id (number) , staff_id (text); | [Primary Keys]: customers : customer_id, staff : staff_id, policies : policy_id, claim_headers : claim_header_id, claims_documents : claim_id, claims_processing_stages : claim_stage_id, claims_processing : claim_processing_id | [Foreign Keys]: policies : customer_id = customers : customer_id | claim_headers : policy_id = policies : policy_id | claims_documents : created_by_staff_id = staff : staff_id | claims_documents : claim_id = claim_headers : claim_header_id | claims_processing : staff_id = staff : staff_id | claims_processing : claim_id = claim_headers : claim_header_id |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | insurance_and_eClaims | Customers : customer_id (text) , customer_details (number) | Staff : staff_id (text) , staff_details (number) | Policies : policy_id (text) , customer_id (number) , policy_type_code (text) , start_date (number) , end_date (text) | Claim_Headers : claim_header_id (text) , claim_status_code (number) , claim_type_code (text) , policy_id (number) , date_of_claim (text) , date_of_settlement (number) , amount_claimed (number) , amount_piad (text) | Claims_Documents : claim_id (text) , document_type_code (number) , created_by_staff_id (text) , created_date (number) | Claims_Processing_Stages : claim_stage_id (text) , next_claim_stage_id (number) , claim_status_name (text) , claim_status_description (number) | Claims_Processing : claim_processing_id (text) , claim_id (number) , claim_outcome_code (text) , claim_stage_id (number) , staff_id (text);</schema>"
<primary_keys>[Primary Keys]: customers : customer_id, staff : staff_id, policies : policy_id, claim_headers : claim_header_id, claims_documents : claim_id, claims_processing_stages : claim_stage_id, claims_processing : claim_processing_id</primary_keys>"
<foreign_keys>[Foreign Keys]: policies : customer_id = customers : customer_id | claim_headers : policy_id = policies : policy_id | claims_documents : created_by_staff_id = staff : staff_id | claims_documents : claim_id = claim_headers : claim_header_id | claims_processing : staff_id = staff : staff_id | claims_processing : claim_id = claim_headers : claim_header_id</foreign_keys>"
Answer the following question with a SQL Statement:<question>Find the total amount claimed in the most recently created document.</question>
[SQL]:
| <SQL_QUERY>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)</SQL_QUERY> | 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. | [Schema (values) (types)]: | insurance_and_eClaims | Customers : customer_id (text) , customer_details (number) | Staff : staff_id (text) , staff_details (number) | Policies : policy_id (text) , customer_id (number) , policy_type_code (text) , start_date (number) , end_date (text) | Claim_Headers : claim_header_id (text) , claim_status_code (number) , claim_type_code (text) , policy_id (number) , date_of_claim (text) , date_of_settlement (number) , amount_claimed (number) , amount_piad (text) | Claims_Documents : claim_id (text) , document_type_code (number) , created_by_staff_id (text) , created_date (number) | Claims_Processing_Stages : claim_stage_id (text) , next_claim_stage_id (number) , claim_status_name (text) , claim_status_description (number) | Claims_Processing : claim_processing_id (text) , claim_id (number) , claim_outcome_code (text) , claim_stage_id (number) , staff_id (text); | [Primary Keys]: customers : customer_id, staff : staff_id, policies : policy_id, claim_headers : claim_header_id, claims_documents : claim_id, claims_processing_stages : claim_stage_id, claims_processing : claim_processing_id | [Foreign Keys]: policies : customer_id = customers : customer_id | claim_headers : policy_id = policies : policy_id | claims_documents : created_by_staff_id = staff : staff_id | claims_documents : claim_id = claim_headers : claim_header_id | claims_processing : staff_id = staff : staff_id | claims_processing : claim_id = claim_headers : claim_header_id |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | insurance_and_eClaims | Customers : customer_id (text) , customer_details (number) | Staff : staff_id (text) , staff_details (number) | Policies : policy_id (text) , customer_id (number) , policy_type_code (text) , start_date (number) , end_date (text) | Claim_Headers : claim_header_id (text) , claim_status_code (number) , claim_type_code (text) , policy_id (number) , date_of_claim (text) , date_of_settlement (number) , amount_claimed (number) , amount_piad (text) | Claims_Documents : claim_id (text) , document_type_code (number) , created_by_staff_id (text) , created_date (number) | Claims_Processing_Stages : claim_stage_id (text) , next_claim_stage_id (number) , claim_status_name (text) , claim_status_description (number) | Claims_Processing : claim_processing_id (text) , claim_id (number) , claim_outcome_code (text) , claim_stage_id (number) , staff_id (text);</schema>"
<primary_keys>[Primary Keys]: customers : customer_id, staff : staff_id, policies : policy_id, claim_headers : claim_header_id, claims_documents : claim_id, claims_processing_stages : claim_stage_id, claims_processing : claim_processing_id</primary_keys>"
<foreign_keys>[Foreign Keys]: policies : customer_id = customers : customer_id | claim_headers : policy_id = policies : policy_id | claims_documents : created_by_staff_id = staff : staff_id | claims_documents : claim_id = claim_headers : claim_header_id | claims_processing : staff_id = staff : staff_id | claims_processing : claim_id = claim_headers : claim_header_id</foreign_keys>"
Answer the following question with a SQL Statement:<question>How much amount in total were claimed in the most recently created document?</question>
[SQL]:
| <SQL_QUERY>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)</SQL_QUERY> | 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? | [Schema (values) (types)]: | insurance_and_eClaims | Customers : customer_id (text) , customer_details (number) | Staff : staff_id (text) , staff_details (number) | Policies : policy_id (text) , customer_id (number) , policy_type_code (text) , start_date (number) , end_date (text) | Claim_Headers : claim_header_id (text) , claim_status_code (number) , claim_type_code (text) , policy_id (number) , date_of_claim (text) , date_of_settlement (number) , amount_claimed (number) , amount_piad (text) | Claims_Documents : claim_id (text) , document_type_code (number) , created_by_staff_id (text) , created_date (number) | Claims_Processing_Stages : claim_stage_id (text) , next_claim_stage_id (number) , claim_status_name (text) , claim_status_description (number) | Claims_Processing : claim_processing_id (text) , claim_id (number) , claim_outcome_code (text) , claim_stage_id (number) , staff_id (text); | [Primary Keys]: customers : customer_id, staff : staff_id, policies : policy_id, claim_headers : claim_header_id, claims_documents : claim_id, claims_processing_stages : claim_stage_id, claims_processing : claim_processing_id | [Foreign Keys]: policies : customer_id = customers : customer_id | claim_headers : policy_id = policies : policy_id | claims_documents : created_by_staff_id = staff : staff_id | claims_documents : claim_id = claim_headers : claim_header_id | claims_processing : staff_id = staff : staff_id | claims_processing : claim_id = claim_headers : claim_header_id |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | insurance_and_eClaims | Customers : customer_id (text) , customer_details (number) | Staff : staff_id (text) , staff_details (number) | Policies : policy_id (text) , customer_id (number) , policy_type_code (text) , start_date (number) , end_date (text) | Claim_Headers : claim_header_id (text) , claim_status_code (number) , claim_type_code (text) , policy_id (number) , date_of_claim (text) , date_of_settlement (number) , amount_claimed (number) , amount_piad (text) | Claims_Documents : claim_id (text) , document_type_code (number) , created_by_staff_id (text) , created_date (number) | Claims_Processing_Stages : claim_stage_id (text) , next_claim_stage_id (number) , claim_status_name (text) , claim_status_description (number) | Claims_Processing : claim_processing_id (text) , claim_id (number) , claim_outcome_code (text) , claim_stage_id (number) , staff_id (text);</schema>"
<primary_keys>[Primary Keys]: customers : customer_id, staff : staff_id, policies : policy_id, claim_headers : claim_header_id, claims_documents : claim_id, claims_processing_stages : claim_stage_id, claims_processing : claim_processing_id</primary_keys>"
<foreign_keys>[Foreign Keys]: policies : customer_id = customers : customer_id | claim_headers : policy_id = policies : policy_id | claims_documents : created_by_staff_id = staff : staff_id | claims_documents : claim_id = claim_headers : claim_header_id | claims_processing : staff_id = staff : staff_id | claims_processing : claim_id = claim_headers : claim_header_id</foreign_keys>"
Answer the following question with a SQL Statement:<question>What is the name of the customer who has made the largest amount of claim in a single claim?</question>
[SQL]:
| <SQL_QUERY>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)</SQL_QUERY> | 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? | [Schema (values) (types)]: | insurance_and_eClaims | Customers : customer_id (text) , customer_details (number) | Staff : staff_id (text) , staff_details (number) | Policies : policy_id (text) , customer_id (number) , policy_type_code (text) , start_date (number) , end_date (text) | Claim_Headers : claim_header_id (text) , claim_status_code (number) , claim_type_code (text) , policy_id (number) , date_of_claim (text) , date_of_settlement (number) , amount_claimed (number) , amount_piad (text) | Claims_Documents : claim_id (text) , document_type_code (number) , created_by_staff_id (text) , created_date (number) | Claims_Processing_Stages : claim_stage_id (text) , next_claim_stage_id (number) , claim_status_name (text) , claim_status_description (number) | Claims_Processing : claim_processing_id (text) , claim_id (number) , claim_outcome_code (text) , claim_stage_id (number) , staff_id (text); | [Primary Keys]: customers : customer_id, staff : staff_id, policies : policy_id, claim_headers : claim_header_id, claims_documents : claim_id, claims_processing_stages : claim_stage_id, claims_processing : claim_processing_id | [Foreign Keys]: policies : customer_id = customers : customer_id | claim_headers : policy_id = policies : policy_id | claims_documents : created_by_staff_id = staff : staff_id | claims_documents : claim_id = claim_headers : claim_header_id | claims_processing : staff_id = staff : staff_id | claims_processing : claim_id = claim_headers : claim_header_id |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | insurance_and_eClaims | Customers : customer_id (text) , customer_details (number) | Staff : staff_id (text) , staff_details (number) | Policies : policy_id (text) , customer_id (number) , policy_type_code (text) , start_date (number) , end_date (text) | Claim_Headers : claim_header_id (text) , claim_status_code (number) , claim_type_code (text) , policy_id (number) , date_of_claim (text) , date_of_settlement (number) , amount_claimed (number) , amount_piad (text) | Claims_Documents : claim_id (text) , document_type_code (number) , created_by_staff_id (text) , created_date (number) | Claims_Processing_Stages : claim_stage_id (text) , next_claim_stage_id (number) , claim_status_name (text) , claim_status_description (number) | Claims_Processing : claim_processing_id (text) , claim_id (number) , claim_outcome_code (text) , claim_stage_id (number) , staff_id (text);</schema>"
<primary_keys>[Primary Keys]: customers : customer_id, staff : staff_id, policies : policy_id, claim_headers : claim_header_id, claims_documents : claim_id, claims_processing_stages : claim_stage_id, claims_processing : claim_processing_id</primary_keys>"
<foreign_keys>[Foreign Keys]: policies : customer_id = customers : customer_id | claim_headers : policy_id = policies : policy_id | claims_documents : created_by_staff_id = staff : staff_id | claims_documents : claim_id = claim_headers : claim_header_id | claims_processing : staff_id = staff : staff_id | claims_processing : claim_id = claim_headers : claim_header_id</foreign_keys>"
Answer the following question with a SQL Statement:<question>Which customer made the largest amount of claim in a single claim? Return the customer details.</question>
[SQL]:
| <SQL_QUERY>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)</SQL_QUERY> | 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. | [Schema (values) (types)]: | insurance_and_eClaims | Customers : customer_id (text) , customer_details (number) | Staff : staff_id (text) , staff_details (number) | Policies : policy_id (text) , customer_id (number) , policy_type_code (text) , start_date (number) , end_date (text) | Claim_Headers : claim_header_id (text) , claim_status_code (number) , claim_type_code (text) , policy_id (number) , date_of_claim (text) , date_of_settlement (number) , amount_claimed (number) , amount_piad (text) | Claims_Documents : claim_id (text) , document_type_code (number) , created_by_staff_id (text) , created_date (number) | Claims_Processing_Stages : claim_stage_id (text) , next_claim_stage_id (number) , claim_status_name (text) , claim_status_description (number) | Claims_Processing : claim_processing_id (text) , claim_id (number) , claim_outcome_code (text) , claim_stage_id (number) , staff_id (text); | [Primary Keys]: customers : customer_id, staff : staff_id, policies : policy_id, claim_headers : claim_header_id, claims_documents : claim_id, claims_processing_stages : claim_stage_id, claims_processing : claim_processing_id | [Foreign Keys]: policies : customer_id = customers : customer_id | claim_headers : policy_id = policies : policy_id | claims_documents : created_by_staff_id = staff : staff_id | claims_documents : claim_id = claim_headers : claim_header_id | claims_processing : staff_id = staff : staff_id | claims_processing : claim_id = claim_headers : claim_header_id |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | insurance_and_eClaims | Customers : customer_id (text) , customer_details (number) | Staff : staff_id (text) , staff_details (number) | Policies : policy_id (text) , customer_id (number) , policy_type_code (text) , start_date (number) , end_date (text) | Claim_Headers : claim_header_id (text) , claim_status_code (number) , claim_type_code (text) , policy_id (number) , date_of_claim (text) , date_of_settlement (number) , amount_claimed (number) , amount_piad (text) | Claims_Documents : claim_id (text) , document_type_code (number) , created_by_staff_id (text) , created_date (number) | Claims_Processing_Stages : claim_stage_id (text) , next_claim_stage_id (number) , claim_status_name (text) , claim_status_description (number) | Claims_Processing : claim_processing_id (text) , claim_id (number) , claim_outcome_code (text) , claim_stage_id (number) , staff_id (text);</schema>"
<primary_keys>[Primary Keys]: customers : customer_id, staff : staff_id, policies : policy_id, claim_headers : claim_header_id, claims_documents : claim_id, claims_processing_stages : claim_stage_id, claims_processing : claim_processing_id</primary_keys>"
<foreign_keys>[Foreign Keys]: policies : customer_id = customers : customer_id | claim_headers : policy_id = policies : policy_id | claims_documents : created_by_staff_id = staff : staff_id | claims_documents : claim_id = claim_headers : claim_header_id | claims_processing : staff_id = staff : staff_id | claims_processing : claim_id = claim_headers : claim_header_id</foreign_keys>"
Answer the following question with a SQL Statement:<question>What is the name of the customer who has made the minimum amount of payment in one claim?</question>
[SQL]:
| <SQL_QUERY>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)</SQL_QUERY> | 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? | [Schema (values) (types)]: | insurance_and_eClaims | Customers : customer_id (text) , customer_details (number) | Staff : staff_id (text) , staff_details (number) | Policies : policy_id (text) , customer_id (number) , policy_type_code (text) , start_date (number) , end_date (text) | Claim_Headers : claim_header_id (text) , claim_status_code (number) , claim_type_code (text) , policy_id (number) , date_of_claim (text) , date_of_settlement (number) , amount_claimed (number) , amount_piad (text) | Claims_Documents : claim_id (text) , document_type_code (number) , created_by_staff_id (text) , created_date (number) | Claims_Processing_Stages : claim_stage_id (text) , next_claim_stage_id (number) , claim_status_name (text) , claim_status_description (number) | Claims_Processing : claim_processing_id (text) , claim_id (number) , claim_outcome_code (text) , claim_stage_id (number) , staff_id (text); | [Primary Keys]: customers : customer_id, staff : staff_id, policies : policy_id, claim_headers : claim_header_id, claims_documents : claim_id, claims_processing_stages : claim_stage_id, claims_processing : claim_processing_id | [Foreign Keys]: policies : customer_id = customers : customer_id | claim_headers : policy_id = policies : policy_id | claims_documents : created_by_staff_id = staff : staff_id | claims_documents : claim_id = claim_headers : claim_header_id | claims_processing : staff_id = staff : staff_id | claims_processing : claim_id = claim_headers : claim_header_id |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | insurance_and_eClaims | Customers : customer_id (text) , customer_details (number) | Staff : staff_id (text) , staff_details (number) | Policies : policy_id (text) , customer_id (number) , policy_type_code (text) , start_date (number) , end_date (text) | Claim_Headers : claim_header_id (text) , claim_status_code (number) , claim_type_code (text) , policy_id (number) , date_of_claim (text) , date_of_settlement (number) , amount_claimed (number) , amount_piad (text) | Claims_Documents : claim_id (text) , document_type_code (number) , created_by_staff_id (text) , created_date (number) | Claims_Processing_Stages : claim_stage_id (text) , next_claim_stage_id (number) , claim_status_name (text) , claim_status_description (number) | Claims_Processing : claim_processing_id (text) , claim_id (number) , claim_outcome_code (text) , claim_stage_id (number) , staff_id (text);</schema>"
<primary_keys>[Primary Keys]: customers : customer_id, staff : staff_id, policies : policy_id, claim_headers : claim_header_id, claims_documents : claim_id, claims_processing_stages : claim_stage_id, claims_processing : claim_processing_id</primary_keys>"
<foreign_keys>[Foreign Keys]: policies : customer_id = customers : customer_id | claim_headers : policy_id = policies : policy_id | claims_documents : created_by_staff_id = staff : staff_id | claims_documents : claim_id = claim_headers : claim_header_id | claims_processing : staff_id = staff : staff_id | claims_processing : claim_id = claim_headers : claim_header_id</foreign_keys>"
Answer the following question with a SQL Statement:<question>Which customer made the smallest amount of claim in one claim? Return the customer details.</question>
[SQL]:
| <SQL_QUERY>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)</SQL_QUERY> | 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. | [Schema (values) (types)]: | insurance_and_eClaims | Customers : customer_id (text) , customer_details (number) | Staff : staff_id (text) , staff_details (number) | Policies : policy_id (text) , customer_id (number) , policy_type_code (text) , start_date (number) , end_date (text) | Claim_Headers : claim_header_id (text) , claim_status_code (number) , claim_type_code (text) , policy_id (number) , date_of_claim (text) , date_of_settlement (number) , amount_claimed (number) , amount_piad (text) | Claims_Documents : claim_id (text) , document_type_code (number) , created_by_staff_id (text) , created_date (number) | Claims_Processing_Stages : claim_stage_id (text) , next_claim_stage_id (number) , claim_status_name (text) , claim_status_description (number) | Claims_Processing : claim_processing_id (text) , claim_id (number) , claim_outcome_code (text) , claim_stage_id (number) , staff_id (text); | [Primary Keys]: customers : customer_id, staff : staff_id, policies : policy_id, claim_headers : claim_header_id, claims_documents : claim_id, claims_processing_stages : claim_stage_id, claims_processing : claim_processing_id | [Foreign Keys]: policies : customer_id = customers : customer_id | claim_headers : policy_id = policies : policy_id | claims_documents : created_by_staff_id = staff : staff_id | claims_documents : claim_id = claim_headers : claim_header_id | claims_processing : staff_id = staff : staff_id | claims_processing : claim_id = claim_headers : claim_header_id |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | insurance_and_eClaims | Customers : customer_id (text) , customer_details (number) | Staff : staff_id (text) , staff_details (number) | Policies : policy_id (text) , customer_id (number) , policy_type_code (text) , start_date (number) , end_date (text) | Claim_Headers : claim_header_id (text) , claim_status_code (number) , claim_type_code (text) , policy_id (number) , date_of_claim (text) , date_of_settlement (number) , amount_claimed (number) , amount_piad (text) | Claims_Documents : claim_id (text) , document_type_code (number) , created_by_staff_id (text) , created_date (number) | Claims_Processing_Stages : claim_stage_id (text) , next_claim_stage_id (number) , claim_status_name (text) , claim_status_description (number) | Claims_Processing : claim_processing_id (text) , claim_id (number) , claim_outcome_code (text) , claim_stage_id (number) , staff_id (text);</schema>"
<primary_keys>[Primary Keys]: customers : customer_id, staff : staff_id, policies : policy_id, claim_headers : claim_header_id, claims_documents : claim_id, claims_processing_stages : claim_stage_id, claims_processing : claim_processing_id</primary_keys>"
<foreign_keys>[Foreign Keys]: policies : customer_id = customers : customer_id | claim_headers : policy_id = policies : policy_id | claims_documents : created_by_staff_id = staff : staff_id | claims_documents : claim_id = claim_headers : claim_header_id | claims_processing : staff_id = staff : staff_id | claims_processing : claim_id = claim_headers : claim_header_id</foreign_keys>"
Answer the following question with a SQL Statement:<question>Find the names of customers who have no policies associated.</question>
[SQL]:
| <SQL_QUERY>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</SQL_QUERY> | 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. | [Schema (values) (types)]: | insurance_and_eClaims | Customers : customer_id (text) , customer_details (number) | Staff : staff_id (text) , staff_details (number) | Policies : policy_id (text) , customer_id (number) , policy_type_code (text) , start_date (number) , end_date (text) | Claim_Headers : claim_header_id (text) , claim_status_code (number) , claim_type_code (text) , policy_id (number) , date_of_claim (text) , date_of_settlement (number) , amount_claimed (number) , amount_piad (text) | Claims_Documents : claim_id (text) , document_type_code (number) , created_by_staff_id (text) , created_date (number) | Claims_Processing_Stages : claim_stage_id (text) , next_claim_stage_id (number) , claim_status_name (text) , claim_status_description (number) | Claims_Processing : claim_processing_id (text) , claim_id (number) , claim_outcome_code (text) , claim_stage_id (number) , staff_id (text); | [Primary Keys]: customers : customer_id, staff : staff_id, policies : policy_id, claim_headers : claim_header_id, claims_documents : claim_id, claims_processing_stages : claim_stage_id, claims_processing : claim_processing_id | [Foreign Keys]: policies : customer_id = customers : customer_id | claim_headers : policy_id = policies : policy_id | claims_documents : created_by_staff_id = staff : staff_id | claims_documents : claim_id = claim_headers : claim_header_id | claims_processing : staff_id = staff : staff_id | claims_processing : claim_id = claim_headers : claim_header_id |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | insurance_and_eClaims | Customers : customer_id (text) , customer_details (number) | Staff : staff_id (text) , staff_details (number) | Policies : policy_id (text) , customer_id (number) , policy_type_code (text) , start_date (number) , end_date (text) | Claim_Headers : claim_header_id (text) , claim_status_code (number) , claim_type_code (text) , policy_id (number) , date_of_claim (text) , date_of_settlement (number) , amount_claimed (number) , amount_piad (text) | Claims_Documents : claim_id (text) , document_type_code (number) , created_by_staff_id (text) , created_date (number) | Claims_Processing_Stages : claim_stage_id (text) , next_claim_stage_id (number) , claim_status_name (text) , claim_status_description (number) | Claims_Processing : claim_processing_id (text) , claim_id (number) , claim_outcome_code (text) , claim_stage_id (number) , staff_id (text);</schema>"
<primary_keys>[Primary Keys]: customers : customer_id, staff : staff_id, policies : policy_id, claim_headers : claim_header_id, claims_documents : claim_id, claims_processing_stages : claim_stage_id, claims_processing : claim_processing_id</primary_keys>"
<foreign_keys>[Foreign Keys]: policies : customer_id = customers : customer_id | claim_headers : policy_id = policies : policy_id | claims_documents : created_by_staff_id = staff : staff_id | claims_documents : claim_id = claim_headers : claim_header_id | claims_processing : staff_id = staff : staff_id | claims_processing : claim_id = claim_headers : claim_header_id</foreign_keys>"
Answer the following question with a SQL Statement:<question>What are the names of customers who do not have any policies?</question>
[SQL]:
| <SQL_QUERY>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</SQL_QUERY> | 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? | [Schema (values) (types)]: | insurance_and_eClaims | Customers : customer_id (text) , customer_details (number) | Staff : staff_id (text) , staff_details (number) | Policies : policy_id (text) , customer_id (number) , policy_type_code (text) , start_date (number) , end_date (text) | Claim_Headers : claim_header_id (text) , claim_status_code (number) , claim_type_code (text) , policy_id (number) , date_of_claim (text) , date_of_settlement (number) , amount_claimed (number) , amount_piad (text) | Claims_Documents : claim_id (text) , document_type_code (number) , created_by_staff_id (text) , created_date (number) | Claims_Processing_Stages : claim_stage_id (text) , next_claim_stage_id (number) , claim_status_name (text) , claim_status_description (number) | Claims_Processing : claim_processing_id (text) , claim_id (number) , claim_outcome_code (text) , claim_stage_id (number) , staff_id (text); | [Primary Keys]: customers : customer_id, staff : staff_id, policies : policy_id, claim_headers : claim_header_id, claims_documents : claim_id, claims_processing_stages : claim_stage_id, claims_processing : claim_processing_id | [Foreign Keys]: policies : customer_id = customers : customer_id | claim_headers : policy_id = policies : policy_id | claims_documents : created_by_staff_id = staff : staff_id | claims_documents : claim_id = claim_headers : claim_header_id | claims_processing : staff_id = staff : staff_id | claims_processing : claim_id = claim_headers : claim_header_id |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | insurance_and_eClaims | Customers : customer_id (text) , customer_details (number) | Staff : staff_id (text) , staff_details (number) | Policies : policy_id (text) , customer_id (number) , policy_type_code (text) , start_date (number) , end_date (text) | Claim_Headers : claim_header_id (text) , claim_status_code (number) , claim_type_code (text) , policy_id (number) , date_of_claim (text) , date_of_settlement (number) , amount_claimed (number) , amount_piad (text) | Claims_Documents : claim_id (text) , document_type_code (number) , created_by_staff_id (text) , created_date (number) | Claims_Processing_Stages : claim_stage_id (text) , next_claim_stage_id (number) , claim_status_name (text) , claim_status_description (number) | Claims_Processing : claim_processing_id (text) , claim_id (number) , claim_outcome_code (text) , claim_stage_id (number) , staff_id (text);</schema>"
<primary_keys>[Primary Keys]: customers : customer_id, staff : staff_id, policies : policy_id, claim_headers : claim_header_id, claims_documents : claim_id, claims_processing_stages : claim_stage_id, claims_processing : claim_processing_id</primary_keys>"
<foreign_keys>[Foreign Keys]: policies : customer_id = customers : customer_id | claim_headers : policy_id = policies : policy_id | claims_documents : created_by_staff_id = staff : staff_id | claims_documents : claim_id = claim_headers : claim_header_id | claims_processing : staff_id = staff : staff_id | claims_processing : claim_id = claim_headers : claim_header_id</foreign_keys>"
Answer the following question with a SQL Statement:<question>How many claim processing stages are there in total?</question>
[SQL]:
| <SQL_QUERY>SELECT count(*) FROM claims_processing_stages</SQL_QUERY> | insurance_and_eClaims | SELECT count(*) FROM claims_processing_stages | How many claim processing stages are there in total? | [Schema (values) (types)]: | insurance_and_eClaims | Customers : customer_id (text) , customer_details (number) | Staff : staff_id (text) , staff_details (number) | Policies : policy_id (text) , customer_id (number) , policy_type_code (text) , start_date (number) , end_date (text) | Claim_Headers : claim_header_id (text) , claim_status_code (number) , claim_type_code (text) , policy_id (number) , date_of_claim (text) , date_of_settlement (number) , amount_claimed (number) , amount_piad (text) | Claims_Documents : claim_id (text) , document_type_code (number) , created_by_staff_id (text) , created_date (number) | Claims_Processing_Stages : claim_stage_id (text) , next_claim_stage_id (number) , claim_status_name (text) , claim_status_description (number) | Claims_Processing : claim_processing_id (text) , claim_id (number) , claim_outcome_code (text) , claim_stage_id (number) , staff_id (text); | [Primary Keys]: customers : customer_id, staff : staff_id, policies : policy_id, claim_headers : claim_header_id, claims_documents : claim_id, claims_processing_stages : claim_stage_id, claims_processing : claim_processing_id | [Foreign Keys]: policies : customer_id = customers : customer_id | claim_headers : policy_id = policies : policy_id | claims_documents : created_by_staff_id = staff : staff_id | claims_documents : claim_id = claim_headers : claim_header_id | claims_processing : staff_id = staff : staff_id | claims_processing : claim_id = claim_headers : claim_header_id |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | insurance_and_eClaims | Customers : customer_id (text) , customer_details (number) | Staff : staff_id (text) , staff_details (number) | Policies : policy_id (text) , customer_id (number) , policy_type_code (text) , start_date (number) , end_date (text) | Claim_Headers : claim_header_id (text) , claim_status_code (number) , claim_type_code (text) , policy_id (number) , date_of_claim (text) , date_of_settlement (number) , amount_claimed (number) , amount_piad (text) | Claims_Documents : claim_id (text) , document_type_code (number) , created_by_staff_id (text) , created_date (number) | Claims_Processing_Stages : claim_stage_id (text) , next_claim_stage_id (number) , claim_status_name (text) , claim_status_description (number) | Claims_Processing : claim_processing_id (text) , claim_id (number) , claim_outcome_code (text) , claim_stage_id (number) , staff_id (text);</schema>"
<primary_keys>[Primary Keys]: customers : customer_id, staff : staff_id, policies : policy_id, claim_headers : claim_header_id, claims_documents : claim_id, claims_processing_stages : claim_stage_id, claims_processing : claim_processing_id</primary_keys>"
<foreign_keys>[Foreign Keys]: policies : customer_id = customers : customer_id | claim_headers : policy_id = policies : policy_id | claims_documents : created_by_staff_id = staff : staff_id | claims_documents : claim_id = claim_headers : claim_header_id | claims_processing : staff_id = staff : staff_id | claims_processing : claim_id = claim_headers : claim_header_id</foreign_keys>"
Answer the following question with a SQL Statement:<question>Find the number of distinct stages in claim processing.</question>
[SQL]:
| <SQL_QUERY>SELECT count(*) FROM claims_processing_stages</SQL_QUERY> | insurance_and_eClaims | SELECT count(*) FROM claims_processing_stages | Find the number of distinct stages in claim processing. | [Schema (values) (types)]: | insurance_and_eClaims | Customers : customer_id (text) , customer_details (number) | Staff : staff_id (text) , staff_details (number) | Policies : policy_id (text) , customer_id (number) , policy_type_code (text) , start_date (number) , end_date (text) | Claim_Headers : claim_header_id (text) , claim_status_code (number) , claim_type_code (text) , policy_id (number) , date_of_claim (text) , date_of_settlement (number) , amount_claimed (number) , amount_piad (text) | Claims_Documents : claim_id (text) , document_type_code (number) , created_by_staff_id (text) , created_date (number) | Claims_Processing_Stages : claim_stage_id (text) , next_claim_stage_id (number) , claim_status_name (text) , claim_status_description (number) | Claims_Processing : claim_processing_id (text) , claim_id (number) , claim_outcome_code (text) , claim_stage_id (number) , staff_id (text); | [Primary Keys]: customers : customer_id, staff : staff_id, policies : policy_id, claim_headers : claim_header_id, claims_documents : claim_id, claims_processing_stages : claim_stage_id, claims_processing : claim_processing_id | [Foreign Keys]: policies : customer_id = customers : customer_id | claim_headers : policy_id = policies : policy_id | claims_documents : created_by_staff_id = staff : staff_id | claims_documents : claim_id = claim_headers : claim_header_id | claims_processing : staff_id = staff : staff_id | claims_processing : claim_id = claim_headers : claim_header_id |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | insurance_and_eClaims | Customers : customer_id (text) , customer_details (number) | Staff : staff_id (text) , staff_details (number) | Policies : policy_id (text) , customer_id (number) , policy_type_code (text) , start_date (number) , end_date (text) | Claim_Headers : claim_header_id (text) , claim_status_code (number) , claim_type_code (text) , policy_id (number) , date_of_claim (text) , date_of_settlement (number) , amount_claimed (number) , amount_piad (text) | Claims_Documents : claim_id (text) , document_type_code (number) , created_by_staff_id (text) , created_date (number) | Claims_Processing_Stages : claim_stage_id (text) , next_claim_stage_id (number) , claim_status_name (text) , claim_status_description (number) | Claims_Processing : claim_processing_id (text) , claim_id (number) , claim_outcome_code (text) , claim_stage_id (number) , staff_id (text);</schema>"
<primary_keys>[Primary Keys]: customers : customer_id, staff : staff_id, policies : policy_id, claim_headers : claim_header_id, claims_documents : claim_id, claims_processing_stages : claim_stage_id, claims_processing : claim_processing_id</primary_keys>"
<foreign_keys>[Foreign Keys]: policies : customer_id = customers : customer_id | claim_headers : policy_id = policies : policy_id | claims_documents : created_by_staff_id = staff : staff_id | claims_documents : claim_id = claim_headers : claim_header_id | claims_processing : staff_id = staff : staff_id | claims_processing : claim_id = claim_headers : claim_header_id</foreign_keys>"
Answer the following question with a SQL Statement:<question>What is the name of the claim processing stage that most of the claims are on?</question>
[SQL]:
| <SQL_QUERY>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</SQL_QUERY> | 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? | [Schema (values) (types)]: | insurance_and_eClaims | Customers : customer_id (text) , customer_details (number) | Staff : staff_id (text) , staff_details (number) | Policies : policy_id (text) , customer_id (number) , policy_type_code (text) , start_date (number) , end_date (text) | Claim_Headers : claim_header_id (text) , claim_status_code (number) , claim_type_code (text) , policy_id (number) , date_of_claim (text) , date_of_settlement (number) , amount_claimed (number) , amount_piad (text) | Claims_Documents : claim_id (text) , document_type_code (number) , created_by_staff_id (text) , created_date (number) | Claims_Processing_Stages : claim_stage_id (text) , next_claim_stage_id (number) , claim_status_name (text) , claim_status_description (number) | Claims_Processing : claim_processing_id (text) , claim_id (number) , claim_outcome_code (text) , claim_stage_id (number) , staff_id (text); | [Primary Keys]: customers : customer_id, staff : staff_id, policies : policy_id, claim_headers : claim_header_id, claims_documents : claim_id, claims_processing_stages : claim_stage_id, claims_processing : claim_processing_id | [Foreign Keys]: policies : customer_id = customers : customer_id | claim_headers : policy_id = policies : policy_id | claims_documents : created_by_staff_id = staff : staff_id | claims_documents : claim_id = claim_headers : claim_header_id | claims_processing : staff_id = staff : staff_id | claims_processing : claim_id = claim_headers : claim_header_id |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | insurance_and_eClaims | Customers : customer_id (text) , customer_details (number) | Staff : staff_id (text) , staff_details (number) | Policies : policy_id (text) , customer_id (number) , policy_type_code (text) , start_date (number) , end_date (text) | Claim_Headers : claim_header_id (text) , claim_status_code (number) , claim_type_code (text) , policy_id (number) , date_of_claim (text) , date_of_settlement (number) , amount_claimed (number) , amount_piad (text) | Claims_Documents : claim_id (text) , document_type_code (number) , created_by_staff_id (text) , created_date (number) | Claims_Processing_Stages : claim_stage_id (text) , next_claim_stage_id (number) , claim_status_name (text) , claim_status_description (number) | Claims_Processing : claim_processing_id (text) , claim_id (number) , claim_outcome_code (text) , claim_stage_id (number) , staff_id (text);</schema>"
<primary_keys>[Primary Keys]: customers : customer_id, staff : staff_id, policies : policy_id, claim_headers : claim_header_id, claims_documents : claim_id, claims_processing_stages : claim_stage_id, claims_processing : claim_processing_id</primary_keys>"
<foreign_keys>[Foreign Keys]: policies : customer_id = customers : customer_id | claim_headers : policy_id = policies : policy_id | claims_documents : created_by_staff_id = staff : staff_id | claims_documents : claim_id = claim_headers : claim_header_id | claims_processing : staff_id = staff : staff_id | claims_processing : claim_id = claim_headers : claim_header_id</foreign_keys>"
Answer the following question with a SQL Statement:<question>Which claim processing stage has the most claims? Show the claim status name.</question>
[SQL]:
| <SQL_QUERY>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</SQL_QUERY> | 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 | Which claim processing stage has the most claims? Show the claim status name. | [Schema (values) (types)]: | insurance_and_eClaims | Customers : customer_id (text) , customer_details (number) | Staff : staff_id (text) , staff_details (number) | Policies : policy_id (text) , customer_id (number) , policy_type_code (text) , start_date (number) , end_date (text) | Claim_Headers : claim_header_id (text) , claim_status_code (number) , claim_type_code (text) , policy_id (number) , date_of_claim (text) , date_of_settlement (number) , amount_claimed (number) , amount_piad (text) | Claims_Documents : claim_id (text) , document_type_code (number) , created_by_staff_id (text) , created_date (number) | Claims_Processing_Stages : claim_stage_id (text) , next_claim_stage_id (number) , claim_status_name (text) , claim_status_description (number) | Claims_Processing : claim_processing_id (text) , claim_id (number) , claim_outcome_code (text) , claim_stage_id (number) , staff_id (text); | [Primary Keys]: customers : customer_id, staff : staff_id, policies : policy_id, claim_headers : claim_header_id, claims_documents : claim_id, claims_processing_stages : claim_stage_id, claims_processing : claim_processing_id | [Foreign Keys]: policies : customer_id = customers : customer_id | claim_headers : policy_id = policies : policy_id | claims_documents : created_by_staff_id = staff : staff_id | claims_documents : claim_id = claim_headers : claim_header_id | claims_processing : staff_id = staff : staff_id | claims_processing : claim_id = claim_headers : claim_header_id |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | insurance_and_eClaims | Customers : customer_id (text) , customer_details (number) | Staff : staff_id (text) , staff_details (number) | Policies : policy_id (text) , customer_id (number) , policy_type_code (text) , start_date (number) , end_date (text) | Claim_Headers : claim_header_id (text) , claim_status_code (number) , claim_type_code (text) , policy_id (number) , date_of_claim (text) , date_of_settlement (number) , amount_claimed (number) , amount_piad (text) | Claims_Documents : claim_id (text) , document_type_code (number) , created_by_staff_id (text) , created_date (number) | Claims_Processing_Stages : claim_stage_id (text) , next_claim_stage_id (number) , claim_status_name (text) , claim_status_description (number) | Claims_Processing : claim_processing_id (text) , claim_id (number) , claim_outcome_code (text) , claim_stage_id (number) , staff_id (text);</schema>"
<primary_keys>[Primary Keys]: customers : customer_id, staff : staff_id, policies : policy_id, claim_headers : claim_header_id, claims_documents : claim_id, claims_processing_stages : claim_stage_id, claims_processing : claim_processing_id</primary_keys>"
<foreign_keys>[Foreign Keys]: policies : customer_id = customers : customer_id | claim_headers : policy_id = policies : policy_id | claims_documents : created_by_staff_id = staff : staff_id | claims_documents : claim_id = claim_headers : claim_header_id | claims_processing : staff_id = staff : staff_id | claims_processing : claim_id = claim_headers : claim_header_id</foreign_keys>"
Answer the following question with a SQL Statement:<question>Find the names of customers whose name contains "Diana".</question>
[SQL]:
| <SQL_QUERY>SELECT customer_details FROM customers WHERE customer_details LIKE "%Diana%"</SQL_QUERY> | insurance_and_eClaims | SELECT customer_details FROM customers WHERE customer_details LIKE "%Diana%" | Find the names of customers whose name contains "Diana". | [Schema (values) (types)]: | insurance_and_eClaims | Customers : customer_id (text) , customer_details (number) | Staff : staff_id (text) , staff_details (number) | Policies : policy_id (text) , customer_id (number) , policy_type_code (text) , start_date (number) , end_date (text) | Claim_Headers : claim_header_id (text) , claim_status_code (number) , claim_type_code (text) , policy_id (number) , date_of_claim (text) , date_of_settlement (number) , amount_claimed (number) , amount_piad (text) | Claims_Documents : claim_id (text) , document_type_code (number) , created_by_staff_id (text) , created_date (number) | Claims_Processing_Stages : claim_stage_id (text) , next_claim_stage_id (number) , claim_status_name (text) , claim_status_description (number) | Claims_Processing : claim_processing_id (text) , claim_id (number) , claim_outcome_code (text) , claim_stage_id (number) , staff_id (text); | [Primary Keys]: customers : customer_id, staff : staff_id, policies : policy_id, claim_headers : claim_header_id, claims_documents : claim_id, claims_processing_stages : claim_stage_id, claims_processing : claim_processing_id | [Foreign Keys]: policies : customer_id = customers : customer_id | claim_headers : policy_id = policies : policy_id | claims_documents : created_by_staff_id = staff : staff_id | claims_documents : claim_id = claim_headers : claim_header_id | claims_processing : staff_id = staff : staff_id | claims_processing : claim_id = claim_headers : claim_header_id |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | insurance_and_eClaims | Customers : customer_id (text) , customer_details (number) | Staff : staff_id (text) , staff_details (number) | Policies : policy_id (text) , customer_id (number) , policy_type_code (text) , start_date (number) , end_date (text) | Claim_Headers : claim_header_id (text) , claim_status_code (number) , claim_type_code (text) , policy_id (number) , date_of_claim (text) , date_of_settlement (number) , amount_claimed (number) , amount_piad (text) | Claims_Documents : claim_id (text) , document_type_code (number) , created_by_staff_id (text) , created_date (number) | Claims_Processing_Stages : claim_stage_id (text) , next_claim_stage_id (number) , claim_status_name (text) , claim_status_description (number) | Claims_Processing : claim_processing_id (text) , claim_id (number) , claim_outcome_code (text) , claim_stage_id (number) , staff_id (text);</schema>"
<primary_keys>[Primary Keys]: customers : customer_id, staff : staff_id, policies : policy_id, claim_headers : claim_header_id, claims_documents : claim_id, claims_processing_stages : claim_stage_id, claims_processing : claim_processing_id</primary_keys>"
<foreign_keys>[Foreign Keys]: policies : customer_id = customers : customer_id | claim_headers : policy_id = policies : policy_id | claims_documents : created_by_staff_id = staff : staff_id | claims_documents : claim_id = claim_headers : claim_header_id | claims_processing : staff_id = staff : staff_id | claims_processing : claim_id = claim_headers : claim_header_id</foreign_keys>"
Answer the following question with a SQL Statement:<question>Which customers have the substring "Diana" in their names? Return the customer details.</question>
[SQL]:
| <SQL_QUERY>SELECT customer_details FROM customers WHERE customer_details LIKE "%Diana%"</SQL_QUERY> | insurance_and_eClaims | SELECT customer_details FROM customers WHERE customer_details LIKE "%Diana%" | Which customers have the substring "Diana" in their names? Return the customer details. | [Schema (values) (types)]: | insurance_and_eClaims | Customers : customer_id (text) , customer_details (number) | Staff : staff_id (text) , staff_details (number) | Policies : policy_id (text) , customer_id (number) , policy_type_code (text) , start_date (number) , end_date (text) | Claim_Headers : claim_header_id (text) , claim_status_code (number) , claim_type_code (text) , policy_id (number) , date_of_claim (text) , date_of_settlement (number) , amount_claimed (number) , amount_piad (text) | Claims_Documents : claim_id (text) , document_type_code (number) , created_by_staff_id (text) , created_date (number) | Claims_Processing_Stages : claim_stage_id (text) , next_claim_stage_id (number) , claim_status_name (text) , claim_status_description (number) | Claims_Processing : claim_processing_id (text) , claim_id (number) , claim_outcome_code (text) , claim_stage_id (number) , staff_id (text); | [Primary Keys]: customers : customer_id, staff : staff_id, policies : policy_id, claim_headers : claim_header_id, claims_documents : claim_id, claims_processing_stages : claim_stage_id, claims_processing : claim_processing_id | [Foreign Keys]: policies : customer_id = customers : customer_id | claim_headers : policy_id = policies : policy_id | claims_documents : created_by_staff_id = staff : staff_id | claims_documents : claim_id = claim_headers : claim_header_id | claims_processing : staff_id = staff : staff_id | claims_processing : claim_id = claim_headers : claim_header_id |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | insurance_and_eClaims | Customers : customer_id (text) , customer_details (number) | Staff : staff_id (text) , staff_details (number) | Policies : policy_id (text) , customer_id (number) , policy_type_code (text) , start_date (number) , end_date (text) | Claim_Headers : claim_header_id (text) , claim_status_code (number) , claim_type_code (text) , policy_id (number) , date_of_claim (text) , date_of_settlement (number) , amount_claimed (number) , amount_piad (text) | Claims_Documents : claim_id (text) , document_type_code (number) , created_by_staff_id (text) , created_date (number) | Claims_Processing_Stages : claim_stage_id (text) , next_claim_stage_id (number) , claim_status_name (text) , claim_status_description (number) | Claims_Processing : claim_processing_id (text) , claim_id (number) , claim_outcome_code (text) , claim_stage_id (number) , staff_id (text);</schema>"
<primary_keys>[Primary Keys]: customers : customer_id, staff : staff_id, policies : policy_id, claim_headers : claim_header_id, claims_documents : claim_id, claims_processing_stages : claim_stage_id, claims_processing : claim_processing_id</primary_keys>"
<foreign_keys>[Foreign Keys]: policies : customer_id = customers : customer_id | claim_headers : policy_id = policies : policy_id | claims_documents : created_by_staff_id = staff : staff_id | claims_documents : claim_id = claim_headers : claim_header_id | claims_processing : staff_id = staff : staff_id | claims_processing : claim_id = claim_headers : claim_header_id</foreign_keys>"
Answer the following question with a SQL Statement:<question>Find the names of the customers who have an deputy policy.</question>
[SQL]:
| <SQL_QUERY>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"</SQL_QUERY> | 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. | [Schema (values) (types)]: | insurance_and_eClaims | Customers : customer_id (text) , customer_details (number) | Staff : staff_id (text) , staff_details (number) | Policies : policy_id (text) , customer_id (number) , policy_type_code (text) , start_date (number) , end_date (text) | Claim_Headers : claim_header_id (text) , claim_status_code (number) , claim_type_code (text) , policy_id (number) , date_of_claim (text) , date_of_settlement (number) , amount_claimed (number) , amount_piad (text) | Claims_Documents : claim_id (text) , document_type_code (number) , created_by_staff_id (text) , created_date (number) | Claims_Processing_Stages : claim_stage_id (text) , next_claim_stage_id (number) , claim_status_name (text) , claim_status_description (number) | Claims_Processing : claim_processing_id (text) , claim_id (number) , claim_outcome_code (text) , claim_stage_id (number) , staff_id (text); | [Primary Keys]: customers : customer_id, staff : staff_id, policies : policy_id, claim_headers : claim_header_id, claims_documents : claim_id, claims_processing_stages : claim_stage_id, claims_processing : claim_processing_id | [Foreign Keys]: policies : customer_id = customers : customer_id | claim_headers : policy_id = policies : policy_id | claims_documents : created_by_staff_id = staff : staff_id | claims_documents : claim_id = claim_headers : claim_header_id | claims_processing : staff_id = staff : staff_id | claims_processing : claim_id = claim_headers : claim_header_id |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | insurance_and_eClaims | Customers : customer_id (text) , customer_details (number) | Staff : staff_id (text) , staff_details (number) | Policies : policy_id (text) , customer_id (number) , policy_type_code (text) , start_date (number) , end_date (text) | Claim_Headers : claim_header_id (text) , claim_status_code (number) , claim_type_code (text) , policy_id (number) , date_of_claim (text) , date_of_settlement (number) , amount_claimed (number) , amount_piad (text) | Claims_Documents : claim_id (text) , document_type_code (number) , created_by_staff_id (text) , created_date (number) | Claims_Processing_Stages : claim_stage_id (text) , next_claim_stage_id (number) , claim_status_name (text) , claim_status_description (number) | Claims_Processing : claim_processing_id (text) , claim_id (number) , claim_outcome_code (text) , claim_stage_id (number) , staff_id (text);</schema>"
<primary_keys>[Primary Keys]: customers : customer_id, staff : staff_id, policies : policy_id, claim_headers : claim_header_id, claims_documents : claim_id, claims_processing_stages : claim_stage_id, claims_processing : claim_processing_id</primary_keys>"
<foreign_keys>[Foreign Keys]: policies : customer_id = customers : customer_id | claim_headers : policy_id = policies : policy_id | claims_documents : created_by_staff_id = staff : staff_id | claims_documents : claim_id = claim_headers : claim_header_id | claims_processing : staff_id = staff : staff_id | claims_processing : claim_id = claim_headers : claim_header_id</foreign_keys>"
Answer the following question with a SQL Statement:<question>Which customers have an insurance policy with the type code "Deputy"? Give me the customer details.</question>
[SQL]:
| <SQL_QUERY>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"</SQL_QUERY> | 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" | Which customers have an insurance policy with the type code "Deputy"? Give me the customer details. | [Schema (values) (types)]: | insurance_and_eClaims | Customers : customer_id (text) , customer_details (number) | Staff : staff_id (text) , staff_details (number) | Policies : policy_id (text) , customer_id (number) , policy_type_code (text) , start_date (number) , end_date (text) | Claim_Headers : claim_header_id (text) , claim_status_code (number) , claim_type_code (text) , policy_id (number) , date_of_claim (text) , date_of_settlement (number) , amount_claimed (number) , amount_piad (text) | Claims_Documents : claim_id (text) , document_type_code (number) , created_by_staff_id (text) , created_date (number) | Claims_Processing_Stages : claim_stage_id (text) , next_claim_stage_id (number) , claim_status_name (text) , claim_status_description (number) | Claims_Processing : claim_processing_id (text) , claim_id (number) , claim_outcome_code (text) , claim_stage_id (number) , staff_id (text); | [Primary Keys]: customers : customer_id, staff : staff_id, policies : policy_id, claim_headers : claim_header_id, claims_documents : claim_id, claims_processing_stages : claim_stage_id, claims_processing : claim_processing_id | [Foreign Keys]: policies : customer_id = customers : customer_id | claim_headers : policy_id = policies : policy_id | claims_documents : created_by_staff_id = staff : staff_id | claims_documents : claim_id = claim_headers : claim_header_id | claims_processing : staff_id = staff : staff_id | claims_processing : claim_id = claim_headers : claim_header_id |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | insurance_and_eClaims | Customers : customer_id (text) , customer_details (number) | Staff : staff_id (text) , staff_details (number) | Policies : policy_id (text) , customer_id (number) , policy_type_code (text) , start_date (number) , end_date (text) | Claim_Headers : claim_header_id (text) , claim_status_code (number) , claim_type_code (text) , policy_id (number) , date_of_claim (text) , date_of_settlement (number) , amount_claimed (number) , amount_piad (text) | Claims_Documents : claim_id (text) , document_type_code (number) , created_by_staff_id (text) , created_date (number) | Claims_Processing_Stages : claim_stage_id (text) , next_claim_stage_id (number) , claim_status_name (text) , claim_status_description (number) | Claims_Processing : claim_processing_id (text) , claim_id (number) , claim_outcome_code (text) , claim_stage_id (number) , staff_id (text);</schema>"
<primary_keys>[Primary Keys]: customers : customer_id, staff : staff_id, policies : policy_id, claim_headers : claim_header_id, claims_documents : claim_id, claims_processing_stages : claim_stage_id, claims_processing : claim_processing_id</primary_keys>"
<foreign_keys>[Foreign Keys]: policies : customer_id = customers : customer_id | claim_headers : policy_id = policies : policy_id | claims_documents : created_by_staff_id = staff : staff_id | claims_documents : claim_id = claim_headers : claim_header_id | claims_processing : staff_id = staff : staff_id | claims_processing : claim_id = claim_headers : claim_header_id</foreign_keys>"
Answer the following question with a SQL Statement:<question>Find the names of customers who either have an deputy policy or uniformed policy.</question>
[SQL]:
| <SQL_QUERY>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" OR t1.policy_type_code = "Uniform"</SQL_QUERY> | 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" OR t1.policy_type_code = "Uniform" | Find the names of customers who either have an deputy policy or uniformed policy. | [Schema (values) (types)]: | insurance_and_eClaims | Customers : customer_id (text) , customer_details (number) | Staff : staff_id (text) , staff_details (number) | Policies : policy_id (text) , customer_id (number) , policy_type_code (text) , start_date (number) , end_date (text) | Claim_Headers : claim_header_id (text) , claim_status_code (number) , claim_type_code (text) , policy_id (number) , date_of_claim (text) , date_of_settlement (number) , amount_claimed (number) , amount_piad (text) | Claims_Documents : claim_id (text) , document_type_code (number) , created_by_staff_id (text) , created_date (number) | Claims_Processing_Stages : claim_stage_id (text) , next_claim_stage_id (number) , claim_status_name (text) , claim_status_description (number) | Claims_Processing : claim_processing_id (text) , claim_id (number) , claim_outcome_code (text) , claim_stage_id (number) , staff_id (text); | [Primary Keys]: customers : customer_id, staff : staff_id, policies : policy_id, claim_headers : claim_header_id, claims_documents : claim_id, claims_processing_stages : claim_stage_id, claims_processing : claim_processing_id | [Foreign Keys]: policies : customer_id = customers : customer_id | claim_headers : policy_id = policies : policy_id | claims_documents : created_by_staff_id = staff : staff_id | claims_documents : claim_id = claim_headers : claim_header_id | claims_processing : staff_id = staff : staff_id | claims_processing : claim_id = claim_headers : claim_header_id |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | insurance_and_eClaims | Customers : customer_id (text) , customer_details (number) | Staff : staff_id (text) , staff_details (number) | Policies : policy_id (text) , customer_id (number) , policy_type_code (text) , start_date (number) , end_date (text) | Claim_Headers : claim_header_id (text) , claim_status_code (number) , claim_type_code (text) , policy_id (number) , date_of_claim (text) , date_of_settlement (number) , amount_claimed (number) , amount_piad (text) | Claims_Documents : claim_id (text) , document_type_code (number) , created_by_staff_id (text) , created_date (number) | Claims_Processing_Stages : claim_stage_id (text) , next_claim_stage_id (number) , claim_status_name (text) , claim_status_description (number) | Claims_Processing : claim_processing_id (text) , claim_id (number) , claim_outcome_code (text) , claim_stage_id (number) , staff_id (text);</schema>"
<primary_keys>[Primary Keys]: customers : customer_id, staff : staff_id, policies : policy_id, claim_headers : claim_header_id, claims_documents : claim_id, claims_processing_stages : claim_stage_id, claims_processing : claim_processing_id</primary_keys>"
<foreign_keys>[Foreign Keys]: policies : customer_id = customers : customer_id | claim_headers : policy_id = policies : policy_id | claims_documents : created_by_staff_id = staff : staff_id | claims_documents : claim_id = claim_headers : claim_header_id | claims_processing : staff_id = staff : staff_id | claims_processing : claim_id = claim_headers : claim_header_id</foreign_keys>"
Answer the following question with a SQL Statement:<question>Which customers have an insurance policy with the type code "Deputy" or "Uniform"? Return the customer details.</question>
[SQL]:
| <SQL_QUERY>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" OR t1.policy_type_code = "Uniform"</SQL_QUERY> | 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" OR t1.policy_type_code = "Uniform" | Which customers have an insurance policy with the type code "Deputy" or "Uniform"? Return the customer details. | [Schema (values) (types)]: | insurance_and_eClaims | Customers : customer_id (text) , customer_details (number) | Staff : staff_id (text) , staff_details (number) | Policies : policy_id (text) , customer_id (number) , policy_type_code (text) , start_date (number) , end_date (text) | Claim_Headers : claim_header_id (text) , claim_status_code (number) , claim_type_code (text) , policy_id (number) , date_of_claim (text) , date_of_settlement (number) , amount_claimed (number) , amount_piad (text) | Claims_Documents : claim_id (text) , document_type_code (number) , created_by_staff_id (text) , created_date (number) | Claims_Processing_Stages : claim_stage_id (text) , next_claim_stage_id (number) , claim_status_name (text) , claim_status_description (number) | Claims_Processing : claim_processing_id (text) , claim_id (number) , claim_outcome_code (text) , claim_stage_id (number) , staff_id (text); | [Primary Keys]: customers : customer_id, staff : staff_id, policies : policy_id, claim_headers : claim_header_id, claims_documents : claim_id, claims_processing_stages : claim_stage_id, claims_processing : claim_processing_id | [Foreign Keys]: policies : customer_id = customers : customer_id | claim_headers : policy_id = policies : policy_id | claims_documents : created_by_staff_id = staff : staff_id | claims_documents : claim_id = claim_headers : claim_header_id | claims_processing : staff_id = staff : staff_id | claims_processing : claim_id = claim_headers : claim_header_id |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | insurance_and_eClaims | Customers : customer_id (text) , customer_details (number) | Staff : staff_id (text) , staff_details (number) | Policies : policy_id (text) , customer_id (number) , policy_type_code (text) , start_date (number) , end_date (text) | Claim_Headers : claim_header_id (text) , claim_status_code (number) , claim_type_code (text) , policy_id (number) , date_of_claim (text) , date_of_settlement (number) , amount_claimed (number) , amount_piad (text) | Claims_Documents : claim_id (text) , document_type_code (number) , created_by_staff_id (text) , created_date (number) | Claims_Processing_Stages : claim_stage_id (text) , next_claim_stage_id (number) , claim_status_name (text) , claim_status_description (number) | Claims_Processing : claim_processing_id (text) , claim_id (number) , claim_outcome_code (text) , claim_stage_id (number) , staff_id (text);</schema>"
<primary_keys>[Primary Keys]: customers : customer_id, staff : staff_id, policies : policy_id, claim_headers : claim_header_id, claims_documents : claim_id, claims_processing_stages : claim_stage_id, claims_processing : claim_processing_id</primary_keys>"
<foreign_keys>[Foreign Keys]: policies : customer_id = customers : customer_id | claim_headers : policy_id = policies : policy_id | claims_documents : created_by_staff_id = staff : staff_id | claims_documents : claim_id = claim_headers : claim_header_id | claims_processing : staff_id = staff : staff_id | claims_processing : claim_id = claim_headers : claim_header_id</foreign_keys>"
Answer the following question with a SQL Statement:<question>Find the names of all the customers and staff members.</question>
[SQL]:
| <SQL_QUERY>SELECT customer_details FROM customers UNION SELECT staff_details FROM staff</SQL_QUERY> | insurance_and_eClaims | SELECT customer_details FROM customers UNION SELECT staff_details FROM staff | Find the names of all the customers and staff members. | [Schema (values) (types)]: | insurance_and_eClaims | Customers : customer_id (text) , customer_details (number) | Staff : staff_id (text) , staff_details (number) | Policies : policy_id (text) , customer_id (number) , policy_type_code (text) , start_date (number) , end_date (text) | Claim_Headers : claim_header_id (text) , claim_status_code (number) , claim_type_code (text) , policy_id (number) , date_of_claim (text) , date_of_settlement (number) , amount_claimed (number) , amount_piad (text) | Claims_Documents : claim_id (text) , document_type_code (number) , created_by_staff_id (text) , created_date (number) | Claims_Processing_Stages : claim_stage_id (text) , next_claim_stage_id (number) , claim_status_name (text) , claim_status_description (number) | Claims_Processing : claim_processing_id (text) , claim_id (number) , claim_outcome_code (text) , claim_stage_id (number) , staff_id (text); | [Primary Keys]: customers : customer_id, staff : staff_id, policies : policy_id, claim_headers : claim_header_id, claims_documents : claim_id, claims_processing_stages : claim_stage_id, claims_processing : claim_processing_id | [Foreign Keys]: policies : customer_id = customers : customer_id | claim_headers : policy_id = policies : policy_id | claims_documents : created_by_staff_id = staff : staff_id | claims_documents : claim_id = claim_headers : claim_header_id | claims_processing : staff_id = staff : staff_id | claims_processing : claim_id = claim_headers : claim_header_id |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | insurance_and_eClaims | Customers : customer_id (text) , customer_details (number) | Staff : staff_id (text) , staff_details (number) | Policies : policy_id (text) , customer_id (number) , policy_type_code (text) , start_date (number) , end_date (text) | Claim_Headers : claim_header_id (text) , claim_status_code (number) , claim_type_code (text) , policy_id (number) , date_of_claim (text) , date_of_settlement (number) , amount_claimed (number) , amount_piad (text) | Claims_Documents : claim_id (text) , document_type_code (number) , created_by_staff_id (text) , created_date (number) | Claims_Processing_Stages : claim_stage_id (text) , next_claim_stage_id (number) , claim_status_name (text) , claim_status_description (number) | Claims_Processing : claim_processing_id (text) , claim_id (number) , claim_outcome_code (text) , claim_stage_id (number) , staff_id (text);</schema>"
<primary_keys>[Primary Keys]: customers : customer_id, staff : staff_id, policies : policy_id, claim_headers : claim_header_id, claims_documents : claim_id, claims_processing_stages : claim_stage_id, claims_processing : claim_processing_id</primary_keys>"
<foreign_keys>[Foreign Keys]: policies : customer_id = customers : customer_id | claim_headers : policy_id = policies : policy_id | claims_documents : created_by_staff_id = staff : staff_id | claims_documents : claim_id = claim_headers : claim_header_id | claims_processing : staff_id = staff : staff_id | claims_processing : claim_id = claim_headers : claim_header_id</foreign_keys>"
Answer the following question with a SQL Statement:<question>What are the names of the customers and staff members?</question>
[SQL]:
| <SQL_QUERY>SELECT customer_details FROM customers UNION SELECT staff_details FROM staff</SQL_QUERY> | insurance_and_eClaims | SELECT customer_details FROM customers UNION SELECT staff_details FROM staff | What are the names of the customers and staff members? | [Schema (values) (types)]: | insurance_and_eClaims | Customers : customer_id (text) , customer_details (number) | Staff : staff_id (text) , staff_details (number) | Policies : policy_id (text) , customer_id (number) , policy_type_code (text) , start_date (number) , end_date (text) | Claim_Headers : claim_header_id (text) , claim_status_code (number) , claim_type_code (text) , policy_id (number) , date_of_claim (text) , date_of_settlement (number) , amount_claimed (number) , amount_piad (text) | Claims_Documents : claim_id (text) , document_type_code (number) , created_by_staff_id (text) , created_date (number) | Claims_Processing_Stages : claim_stage_id (text) , next_claim_stage_id (number) , claim_status_name (text) , claim_status_description (number) | Claims_Processing : claim_processing_id (text) , claim_id (number) , claim_outcome_code (text) , claim_stage_id (number) , staff_id (text); | [Primary Keys]: customers : customer_id, staff : staff_id, policies : policy_id, claim_headers : claim_header_id, claims_documents : claim_id, claims_processing_stages : claim_stage_id, claims_processing : claim_processing_id | [Foreign Keys]: policies : customer_id = customers : customer_id | claim_headers : policy_id = policies : policy_id | claims_documents : created_by_staff_id = staff : staff_id | claims_documents : claim_id = claim_headers : claim_header_id | claims_processing : staff_id = staff : staff_id | claims_processing : claim_id = claim_headers : claim_header_id |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | insurance_and_eClaims | Customers : customer_id (text) , customer_details (number) | Staff : staff_id (text) , staff_details (number) | Policies : policy_id (text) , customer_id (number) , policy_type_code (text) , start_date (number) , end_date (text) | Claim_Headers : claim_header_id (text) , claim_status_code (number) , claim_type_code (text) , policy_id (number) , date_of_claim (text) , date_of_settlement (number) , amount_claimed (number) , amount_piad (text) | Claims_Documents : claim_id (text) , document_type_code (number) , created_by_staff_id (text) , created_date (number) | Claims_Processing_Stages : claim_stage_id (text) , next_claim_stage_id (number) , claim_status_name (text) , claim_status_description (number) | Claims_Processing : claim_processing_id (text) , claim_id (number) , claim_outcome_code (text) , claim_stage_id (number) , staff_id (text);</schema>"
<primary_keys>[Primary Keys]: customers : customer_id, staff : staff_id, policies : policy_id, claim_headers : claim_header_id, claims_documents : claim_id, claims_processing_stages : claim_stage_id, claims_processing : claim_processing_id</primary_keys>"
<foreign_keys>[Foreign Keys]: policies : customer_id = customers : customer_id | claim_headers : policy_id = policies : policy_id | claims_documents : created_by_staff_id = staff : staff_id | claims_documents : claim_id = claim_headers : claim_header_id | claims_processing : staff_id = staff : staff_id | claims_processing : claim_id = claim_headers : claim_header_id</foreign_keys>"
Answer the following question with a SQL Statement:<question>Find the number of records of each policy type and its type code.</question>
[SQL]:
| <SQL_QUERY>SELECT policy_type_code , count(*) FROM policies GROUP BY policy_type_code</SQL_QUERY> | 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. | [Schema (values) (types)]: | insurance_and_eClaims | Customers : customer_id (text) , customer_details (number) | Staff : staff_id (text) , staff_details (number) | Policies : policy_id (text) , customer_id (number) , policy_type_code (text) , start_date (number) , end_date (text) | Claim_Headers : claim_header_id (text) , claim_status_code (number) , claim_type_code (text) , policy_id (number) , date_of_claim (text) , date_of_settlement (number) , amount_claimed (number) , amount_piad (text) | Claims_Documents : claim_id (text) , document_type_code (number) , created_by_staff_id (text) , created_date (number) | Claims_Processing_Stages : claim_stage_id (text) , next_claim_stage_id (number) , claim_status_name (text) , claim_status_description (number) | Claims_Processing : claim_processing_id (text) , claim_id (number) , claim_outcome_code (text) , claim_stage_id (number) , staff_id (text); | [Primary Keys]: customers : customer_id, staff : staff_id, policies : policy_id, claim_headers : claim_header_id, claims_documents : claim_id, claims_processing_stages : claim_stage_id, claims_processing : claim_processing_id | [Foreign Keys]: policies : customer_id = customers : customer_id | claim_headers : policy_id = policies : policy_id | claims_documents : created_by_staff_id = staff : staff_id | claims_documents : claim_id = claim_headers : claim_header_id | claims_processing : staff_id = staff : staff_id | claims_processing : claim_id = claim_headers : claim_header_id |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | insurance_and_eClaims | Customers : customer_id (text) , customer_details (number) | Staff : staff_id (text) , staff_details (number) | Policies : policy_id (text) , customer_id (number) , policy_type_code (text) , start_date (number) , end_date (text) | Claim_Headers : claim_header_id (text) , claim_status_code (number) , claim_type_code (text) , policy_id (number) , date_of_claim (text) , date_of_settlement (number) , amount_claimed (number) , amount_piad (text) | Claims_Documents : claim_id (text) , document_type_code (number) , created_by_staff_id (text) , created_date (number) | Claims_Processing_Stages : claim_stage_id (text) , next_claim_stage_id (number) , claim_status_name (text) , claim_status_description (number) | Claims_Processing : claim_processing_id (text) , claim_id (number) , claim_outcome_code (text) , claim_stage_id (number) , staff_id (text);</schema>"
<primary_keys>[Primary Keys]: customers : customer_id, staff : staff_id, policies : policy_id, claim_headers : claim_header_id, claims_documents : claim_id, claims_processing_stages : claim_stage_id, claims_processing : claim_processing_id</primary_keys>"
<foreign_keys>[Foreign Keys]: policies : customer_id = customers : customer_id | claim_headers : policy_id = policies : policy_id | claims_documents : created_by_staff_id = staff : staff_id | claims_documents : claim_id = claim_headers : claim_header_id | claims_processing : staff_id = staff : staff_id | claims_processing : claim_id = claim_headers : claim_header_id</foreign_keys>"
Answer the following question with a SQL Statement:<question>For each policy type, return its type code and its count in the record.</question>
[SQL]:
| <SQL_QUERY>SELECT policy_type_code , count(*) FROM policies GROUP BY policy_type_code</SQL_QUERY> | insurance_and_eClaims | SELECT policy_type_code , count(*) FROM policies GROUP BY policy_type_code | For each policy type, return its type code and its count in the record. | [Schema (values) (types)]: | insurance_and_eClaims | Customers : customer_id (text) , customer_details (number) | Staff : staff_id (text) , staff_details (number) | Policies : policy_id (text) , customer_id (number) , policy_type_code (text) , start_date (number) , end_date (text) | Claim_Headers : claim_header_id (text) , claim_status_code (number) , claim_type_code (text) , policy_id (number) , date_of_claim (text) , date_of_settlement (number) , amount_claimed (number) , amount_piad (text) | Claims_Documents : claim_id (text) , document_type_code (number) , created_by_staff_id (text) , created_date (number) | Claims_Processing_Stages : claim_stage_id (text) , next_claim_stage_id (number) , claim_status_name (text) , claim_status_description (number) | Claims_Processing : claim_processing_id (text) , claim_id (number) , claim_outcome_code (text) , claim_stage_id (number) , staff_id (text); | [Primary Keys]: customers : customer_id, staff : staff_id, policies : policy_id, claim_headers : claim_header_id, claims_documents : claim_id, claims_processing_stages : claim_stage_id, claims_processing : claim_processing_id | [Foreign Keys]: policies : customer_id = customers : customer_id | claim_headers : policy_id = policies : policy_id | claims_documents : created_by_staff_id = staff : staff_id | claims_documents : claim_id = claim_headers : claim_header_id | claims_processing : staff_id = staff : staff_id | claims_processing : claim_id = claim_headers : claim_header_id |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | insurance_and_eClaims | Customers : customer_id (text) , customer_details (number) | Staff : staff_id (text) , staff_details (number) | Policies : policy_id (text) , customer_id (number) , policy_type_code (text) , start_date (number) , end_date (text) | Claim_Headers : claim_header_id (text) , claim_status_code (number) , claim_type_code (text) , policy_id (number) , date_of_claim (text) , date_of_settlement (number) , amount_claimed (number) , amount_piad (text) | Claims_Documents : claim_id (text) , document_type_code (number) , created_by_staff_id (text) , created_date (number) | Claims_Processing_Stages : claim_stage_id (text) , next_claim_stage_id (number) , claim_status_name (text) , claim_status_description (number) | Claims_Processing : claim_processing_id (text) , claim_id (number) , claim_outcome_code (text) , claim_stage_id (number) , staff_id (text);</schema>"
<primary_keys>[Primary Keys]: customers : customer_id, staff : staff_id, policies : policy_id, claim_headers : claim_header_id, claims_documents : claim_id, claims_processing_stages : claim_stage_id, claims_processing : claim_processing_id</primary_keys>"
<foreign_keys>[Foreign Keys]: policies : customer_id = customers : customer_id | claim_headers : policy_id = policies : policy_id | claims_documents : created_by_staff_id = staff : staff_id | claims_documents : claim_id = claim_headers : claim_header_id | claims_processing : staff_id = staff : staff_id | claims_processing : claim_id = claim_headers : claim_header_id</foreign_keys>"
Answer the following question with a SQL Statement:<question>Find the name of the customer that has been involved in the most policies.</question>
[SQL]:
| <SQL_QUERY>SELECT t2.customer_details FROM policies AS t1 JOIN customers AS t2 ON t1.customer_id = t2.customer_id GROUP BY t2.customer_details ORDER BY count(*) DESC LIMIT 1</SQL_QUERY> | insurance_and_eClaims | SELECT t2.customer_details FROM policies AS t1 JOIN customers AS t2 ON t1.customer_id = t2.customer_id GROUP BY t2.customer_details ORDER BY count(*) DESC LIMIT 1 | Find the name of the customer that has been involved in the most policies. | [Schema (values) (types)]: | insurance_and_eClaims | Customers : customer_id (text) , customer_details (number) | Staff : staff_id (text) , staff_details (number) | Policies : policy_id (text) , customer_id (number) , policy_type_code (text) , start_date (number) , end_date (text) | Claim_Headers : claim_header_id (text) , claim_status_code (number) , claim_type_code (text) , policy_id (number) , date_of_claim (text) , date_of_settlement (number) , amount_claimed (number) , amount_piad (text) | Claims_Documents : claim_id (text) , document_type_code (number) , created_by_staff_id (text) , created_date (number) | Claims_Processing_Stages : claim_stage_id (text) , next_claim_stage_id (number) , claim_status_name (text) , claim_status_description (number) | Claims_Processing : claim_processing_id (text) , claim_id (number) , claim_outcome_code (text) , claim_stage_id (number) , staff_id (text); | [Primary Keys]: customers : customer_id, staff : staff_id, policies : policy_id, claim_headers : claim_header_id, claims_documents : claim_id, claims_processing_stages : claim_stage_id, claims_processing : claim_processing_id | [Foreign Keys]: policies : customer_id = customers : customer_id | claim_headers : policy_id = policies : policy_id | claims_documents : created_by_staff_id = staff : staff_id | claims_documents : claim_id = claim_headers : claim_header_id | claims_processing : staff_id = staff : staff_id | claims_processing : claim_id = claim_headers : claim_header_id |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | insurance_and_eClaims | Customers : customer_id (text) , customer_details (number) | Staff : staff_id (text) , staff_details (number) | Policies : policy_id (text) , customer_id (number) , policy_type_code (text) , start_date (number) , end_date (text) | Claim_Headers : claim_header_id (text) , claim_status_code (number) , claim_type_code (text) , policy_id (number) , date_of_claim (text) , date_of_settlement (number) , amount_claimed (number) , amount_piad (text) | Claims_Documents : claim_id (text) , document_type_code (number) , created_by_staff_id (text) , created_date (number) | Claims_Processing_Stages : claim_stage_id (text) , next_claim_stage_id (number) , claim_status_name (text) , claim_status_description (number) | Claims_Processing : claim_processing_id (text) , claim_id (number) , claim_outcome_code (text) , claim_stage_id (number) , staff_id (text);</schema>"
<primary_keys>[Primary Keys]: customers : customer_id, staff : staff_id, policies : policy_id, claim_headers : claim_header_id, claims_documents : claim_id, claims_processing_stages : claim_stage_id, claims_processing : claim_processing_id</primary_keys>"
<foreign_keys>[Foreign Keys]: policies : customer_id = customers : customer_id | claim_headers : policy_id = policies : policy_id | claims_documents : created_by_staff_id = staff : staff_id | claims_documents : claim_id = claim_headers : claim_header_id | claims_processing : staff_id = staff : staff_id | claims_processing : claim_id = claim_headers : claim_header_id</foreign_keys>"
Answer the following question with a SQL Statement:<question>Which customer have the most policies? Give me the customer details.</question>
[SQL]:
| <SQL_QUERY>SELECT t2.customer_details FROM policies AS t1 JOIN customers AS t2 ON t1.customer_id = t2.customer_id GROUP BY t2.customer_details ORDER BY count(*) DESC LIMIT 1</SQL_QUERY> | insurance_and_eClaims | SELECT t2.customer_details FROM policies AS t1 JOIN customers AS t2 ON t1.customer_id = t2.customer_id GROUP BY t2.customer_details ORDER BY count(*) DESC LIMIT 1 | Which customer have the most policies? Give me the customer details. | [Schema (values) (types)]: | insurance_and_eClaims | Customers : customer_id (text) , customer_details (number) | Staff : staff_id (text) , staff_details (number) | Policies : policy_id (text) , customer_id (number) , policy_type_code (text) , start_date (number) , end_date (text) | Claim_Headers : claim_header_id (text) , claim_status_code (number) , claim_type_code (text) , policy_id (number) , date_of_claim (text) , date_of_settlement (number) , amount_claimed (number) , amount_piad (text) | Claims_Documents : claim_id (text) , document_type_code (number) , created_by_staff_id (text) , created_date (number) | Claims_Processing_Stages : claim_stage_id (text) , next_claim_stage_id (number) , claim_status_name (text) , claim_status_description (number) | Claims_Processing : claim_processing_id (text) , claim_id (number) , claim_outcome_code (text) , claim_stage_id (number) , staff_id (text); | [Primary Keys]: customers : customer_id, staff : staff_id, policies : policy_id, claim_headers : claim_header_id, claims_documents : claim_id, claims_processing_stages : claim_stage_id, claims_processing : claim_processing_id | [Foreign Keys]: policies : customer_id = customers : customer_id | claim_headers : policy_id = policies : policy_id | claims_documents : created_by_staff_id = staff : staff_id | claims_documents : claim_id = claim_headers : claim_header_id | claims_processing : staff_id = staff : staff_id | claims_processing : claim_id = claim_headers : claim_header_id |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | insurance_and_eClaims | Customers : customer_id (text) , customer_details (number) | Staff : staff_id (text) , staff_details (number) | Policies : policy_id (text) , customer_id (number) , policy_type_code (text) , start_date (number) , end_date (text) | Claim_Headers : claim_header_id (text) , claim_status_code (number) , claim_type_code (text) , policy_id (number) , date_of_claim (text) , date_of_settlement (number) , amount_claimed (number) , amount_piad (text) | Claims_Documents : claim_id (text) , document_type_code (number) , created_by_staff_id (text) , created_date (number) | Claims_Processing_Stages : claim_stage_id (text) , next_claim_stage_id (number) , claim_status_name (text) , claim_status_description (number) | Claims_Processing : claim_processing_id (text) , claim_id (number) , claim_outcome_code (text) , claim_stage_id (number) , staff_id (text);</schema>"
<primary_keys>[Primary Keys]: customers : customer_id, staff : staff_id, policies : policy_id, claim_headers : claim_header_id, claims_documents : claim_id, claims_processing_stages : claim_stage_id, claims_processing : claim_processing_id</primary_keys>"
<foreign_keys>[Foreign Keys]: policies : customer_id = customers : customer_id | claim_headers : policy_id = policies : policy_id | claims_documents : created_by_staff_id = staff : staff_id | claims_documents : claim_id = claim_headers : claim_header_id | claims_processing : staff_id = staff : staff_id | claims_processing : claim_id = claim_headers : claim_header_id</foreign_keys>"
Answer the following question with a SQL Statement:<question>What is the description of the claim status "Open"?</question>
[SQL]:
| <SQL_QUERY>SELECT claim_status_description FROM claims_processing_stages WHERE claim_status_name = "Open"</SQL_QUERY> | insurance_and_eClaims | SELECT claim_status_description FROM claims_processing_stages WHERE claim_status_name = "Open" | What is the description of the claim status "Open"? | [Schema (values) (types)]: | insurance_and_eClaims | Customers : customer_id (text) , customer_details (number) | Staff : staff_id (text) , staff_details (number) | Policies : policy_id (text) , customer_id (number) , policy_type_code (text) , start_date (number) , end_date (text) | Claim_Headers : claim_header_id (text) , claim_status_code (number) , claim_type_code (text) , policy_id (number) , date_of_claim (text) , date_of_settlement (number) , amount_claimed (number) , amount_piad (text) | Claims_Documents : claim_id (text) , document_type_code (number) , created_by_staff_id (text) , created_date (number) | Claims_Processing_Stages : claim_stage_id (text) , next_claim_stage_id (number) , claim_status_name (text) , claim_status_description (number) | Claims_Processing : claim_processing_id (text) , claim_id (number) , claim_outcome_code (text) , claim_stage_id (number) , staff_id (text); | [Primary Keys]: customers : customer_id, staff : staff_id, policies : policy_id, claim_headers : claim_header_id, claims_documents : claim_id, claims_processing_stages : claim_stage_id, claims_processing : claim_processing_id | [Foreign Keys]: policies : customer_id = customers : customer_id | claim_headers : policy_id = policies : policy_id | claims_documents : created_by_staff_id = staff : staff_id | claims_documents : claim_id = claim_headers : claim_header_id | claims_processing : staff_id = staff : staff_id | claims_processing : claim_id = claim_headers : claim_header_id |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | insurance_and_eClaims | Customers : customer_id (text) , customer_details (number) | Staff : staff_id (text) , staff_details (number) | Policies : policy_id (text) , customer_id (number) , policy_type_code (text) , start_date (number) , end_date (text) | Claim_Headers : claim_header_id (text) , claim_status_code (number) , claim_type_code (text) , policy_id (number) , date_of_claim (text) , date_of_settlement (number) , amount_claimed (number) , amount_piad (text) | Claims_Documents : claim_id (text) , document_type_code (number) , created_by_staff_id (text) , created_date (number) | Claims_Processing_Stages : claim_stage_id (text) , next_claim_stage_id (number) , claim_status_name (text) , claim_status_description (number) | Claims_Processing : claim_processing_id (text) , claim_id (number) , claim_outcome_code (text) , claim_stage_id (number) , staff_id (text);</schema>"
<primary_keys>[Primary Keys]: customers : customer_id, staff : staff_id, policies : policy_id, claim_headers : claim_header_id, claims_documents : claim_id, claims_processing_stages : claim_stage_id, claims_processing : claim_processing_id</primary_keys>"
<foreign_keys>[Foreign Keys]: policies : customer_id = customers : customer_id | claim_headers : policy_id = policies : policy_id | claims_documents : created_by_staff_id = staff : staff_id | claims_documents : claim_id = claim_headers : claim_header_id | claims_processing : staff_id = staff : staff_id | claims_processing : claim_id = claim_headers : claim_header_id</foreign_keys>"
Answer the following question with a SQL Statement:<question>Find the description of the claim status "Open".</question>
[SQL]:
| <SQL_QUERY>SELECT claim_status_description FROM claims_processing_stages WHERE claim_status_name = "Open"</SQL_QUERY> | insurance_and_eClaims | SELECT claim_status_description FROM claims_processing_stages WHERE claim_status_name = "Open" | Find the description of the claim status "Open". | [Schema (values) (types)]: | insurance_and_eClaims | Customers : customer_id (text) , customer_details (number) | Staff : staff_id (text) , staff_details (number) | Policies : policy_id (text) , customer_id (number) , policy_type_code (text) , start_date (number) , end_date (text) | Claim_Headers : claim_header_id (text) , claim_status_code (number) , claim_type_code (text) , policy_id (number) , date_of_claim (text) , date_of_settlement (number) , amount_claimed (number) , amount_piad (text) | Claims_Documents : claim_id (text) , document_type_code (number) , created_by_staff_id (text) , created_date (number) | Claims_Processing_Stages : claim_stage_id (text) , next_claim_stage_id (number) , claim_status_name (text) , claim_status_description (number) | Claims_Processing : claim_processing_id (text) , claim_id (number) , claim_outcome_code (text) , claim_stage_id (number) , staff_id (text); | [Primary Keys]: customers : customer_id, staff : staff_id, policies : policy_id, claim_headers : claim_header_id, claims_documents : claim_id, claims_processing_stages : claim_stage_id, claims_processing : claim_processing_id | [Foreign Keys]: policies : customer_id = customers : customer_id | claim_headers : policy_id = policies : policy_id | claims_documents : created_by_staff_id = staff : staff_id | claims_documents : claim_id = claim_headers : claim_header_id | claims_processing : staff_id = staff : staff_id | claims_processing : claim_id = claim_headers : claim_header_id |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | insurance_and_eClaims | Customers : customer_id (text) , customer_details (number) | Staff : staff_id (text) , staff_details (number) | Policies : policy_id (text) , customer_id (number) , policy_type_code (text) , start_date (number) , end_date (text) | Claim_Headers : claim_header_id (text) , claim_status_code (number) , claim_type_code (text) , policy_id (number) , date_of_claim (text) , date_of_settlement (number) , amount_claimed (number) , amount_piad (text) | Claims_Documents : claim_id (text) , document_type_code (number) , created_by_staff_id (text) , created_date (number) | Claims_Processing_Stages : claim_stage_id (text) , next_claim_stage_id (number) , claim_status_name (text) , claim_status_description (number) | Claims_Processing : claim_processing_id (text) , claim_id (number) , claim_outcome_code (text) , claim_stage_id (number) , staff_id (text);</schema>"
<primary_keys>[Primary Keys]: customers : customer_id, staff : staff_id, policies : policy_id, claim_headers : claim_header_id, claims_documents : claim_id, claims_processing_stages : claim_stage_id, claims_processing : claim_processing_id</primary_keys>"
<foreign_keys>[Foreign Keys]: policies : customer_id = customers : customer_id | claim_headers : policy_id = policies : policy_id | claims_documents : created_by_staff_id = staff : staff_id | claims_documents : claim_id = claim_headers : claim_header_id | claims_processing : staff_id = staff : staff_id | claims_processing : claim_id = claim_headers : claim_header_id</foreign_keys>"
Answer the following question with a SQL Statement:<question>How many distinct claim outcome codes are there?</question>
[SQL]:
| <SQL_QUERY>SELECT count(DISTINCT claim_outcome_code) FROM claims_processing</SQL_QUERY> | insurance_and_eClaims | SELECT count(DISTINCT claim_outcome_code) FROM claims_processing | How many distinct claim outcome codes are there? | [Schema (values) (types)]: | insurance_and_eClaims | Customers : customer_id (text) , customer_details (number) | Staff : staff_id (text) , staff_details (number) | Policies : policy_id (text) , customer_id (number) , policy_type_code (text) , start_date (number) , end_date (text) | Claim_Headers : claim_header_id (text) , claim_status_code (number) , claim_type_code (text) , policy_id (number) , date_of_claim (text) , date_of_settlement (number) , amount_claimed (number) , amount_piad (text) | Claims_Documents : claim_id (text) , document_type_code (number) , created_by_staff_id (text) , created_date (number) | Claims_Processing_Stages : claim_stage_id (text) , next_claim_stage_id (number) , claim_status_name (text) , claim_status_description (number) | Claims_Processing : claim_processing_id (text) , claim_id (number) , claim_outcome_code (text) , claim_stage_id (number) , staff_id (text); | [Primary Keys]: customers : customer_id, staff : staff_id, policies : policy_id, claim_headers : claim_header_id, claims_documents : claim_id, claims_processing_stages : claim_stage_id, claims_processing : claim_processing_id | [Foreign Keys]: policies : customer_id = customers : customer_id | claim_headers : policy_id = policies : policy_id | claims_documents : created_by_staff_id = staff : staff_id | claims_documents : claim_id = claim_headers : claim_header_id | claims_processing : staff_id = staff : staff_id | claims_processing : claim_id = claim_headers : claim_header_id |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | insurance_and_eClaims | Customers : customer_id (text) , customer_details (number) | Staff : staff_id (text) , staff_details (number) | Policies : policy_id (text) , customer_id (number) , policy_type_code (text) , start_date (number) , end_date (text) | Claim_Headers : claim_header_id (text) , claim_status_code (number) , claim_type_code (text) , policy_id (number) , date_of_claim (text) , date_of_settlement (number) , amount_claimed (number) , amount_piad (text) | Claims_Documents : claim_id (text) , document_type_code (number) , created_by_staff_id (text) , created_date (number) | Claims_Processing_Stages : claim_stage_id (text) , next_claim_stage_id (number) , claim_status_name (text) , claim_status_description (number) | Claims_Processing : claim_processing_id (text) , claim_id (number) , claim_outcome_code (text) , claim_stage_id (number) , staff_id (text);</schema>"
<primary_keys>[Primary Keys]: customers : customer_id, staff : staff_id, policies : policy_id, claim_headers : claim_header_id, claims_documents : claim_id, claims_processing_stages : claim_stage_id, claims_processing : claim_processing_id</primary_keys>"
<foreign_keys>[Foreign Keys]: policies : customer_id = customers : customer_id | claim_headers : policy_id = policies : policy_id | claims_documents : created_by_staff_id = staff : staff_id | claims_documents : claim_id = claim_headers : claim_header_id | claims_processing : staff_id = staff : staff_id | claims_processing : claim_id = claim_headers : claim_header_id</foreign_keys>"
Answer the following question with a SQL Statement:<question>Count the number of distinct claim outcome codes.</question>
[SQL]:
| <SQL_QUERY>SELECT count(DISTINCT claim_outcome_code) FROM claims_processing</SQL_QUERY> | insurance_and_eClaims | SELECT count(DISTINCT claim_outcome_code) FROM claims_processing | Count the number of distinct claim outcome codes. | [Schema (values) (types)]: | insurance_and_eClaims | Customers : customer_id (text) , customer_details (number) | Staff : staff_id (text) , staff_details (number) | Policies : policy_id (text) , customer_id (number) , policy_type_code (text) , start_date (number) , end_date (text) | Claim_Headers : claim_header_id (text) , claim_status_code (number) , claim_type_code (text) , policy_id (number) , date_of_claim (text) , date_of_settlement (number) , amount_claimed (number) , amount_piad (text) | Claims_Documents : claim_id (text) , document_type_code (number) , created_by_staff_id (text) , created_date (number) | Claims_Processing_Stages : claim_stage_id (text) , next_claim_stage_id (number) , claim_status_name (text) , claim_status_description (number) | Claims_Processing : claim_processing_id (text) , claim_id (number) , claim_outcome_code (text) , claim_stage_id (number) , staff_id (text); | [Primary Keys]: customers : customer_id, staff : staff_id, policies : policy_id, claim_headers : claim_header_id, claims_documents : claim_id, claims_processing_stages : claim_stage_id, claims_processing : claim_processing_id | [Foreign Keys]: policies : customer_id = customers : customer_id | claim_headers : policy_id = policies : policy_id | claims_documents : created_by_staff_id = staff : staff_id | claims_documents : claim_id = claim_headers : claim_header_id | claims_processing : staff_id = staff : staff_id | claims_processing : claim_id = claim_headers : claim_header_id |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | insurance_and_eClaims | Customers : customer_id (text) , customer_details (number) | Staff : staff_id (text) , staff_details (number) | Policies : policy_id (text) , customer_id (number) , policy_type_code (text) , start_date (number) , end_date (text) | Claim_Headers : claim_header_id (text) , claim_status_code (number) , claim_type_code (text) , policy_id (number) , date_of_claim (text) , date_of_settlement (number) , amount_claimed (number) , amount_piad (text) | Claims_Documents : claim_id (text) , document_type_code (number) , created_by_staff_id (text) , created_date (number) | Claims_Processing_Stages : claim_stage_id (text) , next_claim_stage_id (number) , claim_status_name (text) , claim_status_description (number) | Claims_Processing : claim_processing_id (text) , claim_id (number) , claim_outcome_code (text) , claim_stage_id (number) , staff_id (text);</schema>"
<primary_keys>[Primary Keys]: customers : customer_id, staff : staff_id, policies : policy_id, claim_headers : claim_header_id, claims_documents : claim_id, claims_processing_stages : claim_stage_id, claims_processing : claim_processing_id</primary_keys>"
<foreign_keys>[Foreign Keys]: policies : customer_id = customers : customer_id | claim_headers : policy_id = policies : policy_id | claims_documents : created_by_staff_id = staff : staff_id | claims_documents : claim_id = claim_headers : claim_header_id | claims_processing : staff_id = staff : staff_id | claims_processing : claim_id = claim_headers : claim_header_id</foreign_keys>"
Answer the following question with a SQL Statement:<question>Which customer is associated with the latest policy?</question>
[SQL]:
| <SQL_QUERY>SELECT t2.customer_details FROM policies AS t1 JOIN customers AS t2 ON t1.customer_id = t2.customer_id WHERE t1.start_date = (SELECT max(start_date) FROM policies)</SQL_QUERY> | insurance_and_eClaims | SELECT t2.customer_details FROM policies AS t1 JOIN customers AS t2 ON t1.customer_id = t2.customer_id WHERE t1.start_date = (SELECT max(start_date) FROM policies) | Which customer is associated with the latest policy? | [Schema (values) (types)]: | insurance_and_eClaims | Customers : customer_id (text) , customer_details (number) | Staff : staff_id (text) , staff_details (number) | Policies : policy_id (text) , customer_id (number) , policy_type_code (text) , start_date (number) , end_date (text) | Claim_Headers : claim_header_id (text) , claim_status_code (number) , claim_type_code (text) , policy_id (number) , date_of_claim (text) , date_of_settlement (number) , amount_claimed (number) , amount_piad (text) | Claims_Documents : claim_id (text) , document_type_code (number) , created_by_staff_id (text) , created_date (number) | Claims_Processing_Stages : claim_stage_id (text) , next_claim_stage_id (number) , claim_status_name (text) , claim_status_description (number) | Claims_Processing : claim_processing_id (text) , claim_id (number) , claim_outcome_code (text) , claim_stage_id (number) , staff_id (text); | [Primary Keys]: customers : customer_id, staff : staff_id, policies : policy_id, claim_headers : claim_header_id, claims_documents : claim_id, claims_processing_stages : claim_stage_id, claims_processing : claim_processing_id | [Foreign Keys]: policies : customer_id = customers : customer_id | claim_headers : policy_id = policies : policy_id | claims_documents : created_by_staff_id = staff : staff_id | claims_documents : claim_id = claim_headers : claim_header_id | claims_processing : staff_id = staff : staff_id | claims_processing : claim_id = claim_headers : claim_header_id |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | insurance_and_eClaims | Customers : customer_id (text) , customer_details (number) | Staff : staff_id (text) , staff_details (number) | Policies : policy_id (text) , customer_id (number) , policy_type_code (text) , start_date (number) , end_date (text) | Claim_Headers : claim_header_id (text) , claim_status_code (number) , claim_type_code (text) , policy_id (number) , date_of_claim (text) , date_of_settlement (number) , amount_claimed (number) , amount_piad (text) | Claims_Documents : claim_id (text) , document_type_code (number) , created_by_staff_id (text) , created_date (number) | Claims_Processing_Stages : claim_stage_id (text) , next_claim_stage_id (number) , claim_status_name (text) , claim_status_description (number) | Claims_Processing : claim_processing_id (text) , claim_id (number) , claim_outcome_code (text) , claim_stage_id (number) , staff_id (text);</schema>"
<primary_keys>[Primary Keys]: customers : customer_id, staff : staff_id, policies : policy_id, claim_headers : claim_header_id, claims_documents : claim_id, claims_processing_stages : claim_stage_id, claims_processing : claim_processing_id</primary_keys>"
<foreign_keys>[Foreign Keys]: policies : customer_id = customers : customer_id | claim_headers : policy_id = policies : policy_id | claims_documents : created_by_staff_id = staff : staff_id | claims_documents : claim_id = claim_headers : claim_header_id | claims_processing : staff_id = staff : staff_id | claims_processing : claim_id = claim_headers : claim_header_id</foreign_keys>"
Answer the following question with a SQL Statement:<question>Find the customer who started a policy most recently.</question>
[SQL]:
| <SQL_QUERY>SELECT t2.customer_details FROM policies AS t1 JOIN customers AS t2 ON t1.customer_id = t2.customer_id WHERE t1.start_date = (SELECT max(start_date) FROM policies)</SQL_QUERY> | insurance_and_eClaims | SELECT t2.customer_details FROM policies AS t1 JOIN customers AS t2 ON t1.customer_id = t2.customer_id WHERE t1.start_date = (SELECT max(start_date) FROM policies) | Find the customer who started a policy most recently. | [Schema (values) (types)]: | insurance_and_eClaims | Customers : customer_id (text) , customer_details (number) | Staff : staff_id (text) , staff_details (number) | Policies : policy_id (text) , customer_id (number) , policy_type_code (text) , start_date (number) , end_date (text) | Claim_Headers : claim_header_id (text) , claim_status_code (number) , claim_type_code (text) , policy_id (number) , date_of_claim (text) , date_of_settlement (number) , amount_claimed (number) , amount_piad (text) | Claims_Documents : claim_id (text) , document_type_code (number) , created_by_staff_id (text) , created_date (number) | Claims_Processing_Stages : claim_stage_id (text) , next_claim_stage_id (number) , claim_status_name (text) , claim_status_description (number) | Claims_Processing : claim_processing_id (text) , claim_id (number) , claim_outcome_code (text) , claim_stage_id (number) , staff_id (text); | [Primary Keys]: customers : customer_id, staff : staff_id, policies : policy_id, claim_headers : claim_header_id, claims_documents : claim_id, claims_processing_stages : claim_stage_id, claims_processing : claim_processing_id | [Foreign Keys]: policies : customer_id = customers : customer_id | claim_headers : policy_id = policies : policy_id | claims_documents : created_by_staff_id = staff : staff_id | claims_documents : claim_id = claim_headers : claim_header_id | claims_processing : staff_id = staff : staff_id | claims_processing : claim_id = claim_headers : claim_header_id |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | customers_and_invoices | Customers : customer_id (text) , customer_first_name (number) , customer_middle_initial (text) , customer_last_name (text) , gender (text) , email_address (text) , login_name (text) , login_password (text) , phone_number (text) , town_city (text) , state_county_province (text) , country (text) | Orders : order_id (text) , customer_id (number) , date_order_placed (text) , order_details (text) | Invoices : invoice_number (text) , order_id (number) , invoice_date (text) | Accounts : account_id (text) , customer_id (number) , date_account_opened (text) , account_name (text) , other_account_details (text) | Product_Categories : production_type_code (text) , product_type_description (number) , vat_rating (text) | Products : product_id (text) , parent_product_id (number) , production_type_code (text) , unit_price (text) , product_name (text) , product_color (text) , product_size (text) | Financial_Transactions : transaction_id (text) , account_id (number) , invoice_number (text) , transaction_type (text) , transaction_date (text) , transaction_amount (text) , transaction_comment (text) , other_transaction_details (text) | Order_Items : order_item_id (text) , order_id (number) , product_id (text) , product_quantity (text) , other_order_item_details (text) | Invoice_Line_Items : order_item_id (text) , invoice_number (number) , product_id (text) , product_title (text) , product_quantity (text) , product_price (text) , derived_product_cost (text) , derived_vat_payable (text) , derived_total_cost (text);</schema>"
<primary_keys>[Primary Keys]: customers : customer_id, orders : order_id, invoices : invoice_number, accounts : account_id, product_categories : production_type_code, products : product_id, financial_transactions : order_item_id</primary_keys>"
<foreign_keys>[Foreign Keys]: orders : customer_id = customers : customer_id | invoices : order_id = orders : order_id | accounts : customer_id = customers : customer_id | products : production_type_code = product_categories : production_type_code | financial_transactions : account_id = accounts : account_id | financial_transactions : invoice_number = invoices : invoice_number | order_items : order_id = orders : order_id | order_items : product_id = products : product_id | invoice_line_items : product_id = products : product_id | invoice_line_items : invoice_number = invoices : invoice_number | invoice_line_items : order_item_id = order_items : order_item_id</foreign_keys>"
Answer the following question with a SQL Statement:<question>Show the number of accounts.</question>
[SQL]:
| <SQL_QUERY>SELECT count(*) FROM Accounts</SQL_QUERY> | customers_and_invoices | SELECT count(*) FROM Accounts | Show the number of accounts. | [Schema (values) (types)]: | customers_and_invoices | Customers : customer_id (text) , customer_first_name (number) , customer_middle_initial (text) , customer_last_name (text) , gender (text) , email_address (text) , login_name (text) , login_password (text) , phone_number (text) , town_city (text) , state_county_province (text) , country (text) | Orders : order_id (text) , customer_id (number) , date_order_placed (text) , order_details (text) | Invoices : invoice_number (text) , order_id (number) , invoice_date (text) | Accounts : account_id (text) , customer_id (number) , date_account_opened (text) , account_name (text) , other_account_details (text) | Product_Categories : production_type_code (text) , product_type_description (number) , vat_rating (text) | Products : product_id (text) , parent_product_id (number) , production_type_code (text) , unit_price (text) , product_name (text) , product_color (text) , product_size (text) | Financial_Transactions : transaction_id (text) , account_id (number) , invoice_number (text) , transaction_type (text) , transaction_date (text) , transaction_amount (text) , transaction_comment (text) , other_transaction_details (text) | Order_Items : order_item_id (text) , order_id (number) , product_id (text) , product_quantity (text) , other_order_item_details (text) | Invoice_Line_Items : order_item_id (text) , invoice_number (number) , product_id (text) , product_title (text) , product_quantity (text) , product_price (text) , derived_product_cost (text) , derived_vat_payable (text) , derived_total_cost (text); | [Primary Keys]: customers : customer_id, orders : order_id, invoices : invoice_number, accounts : account_id, product_categories : production_type_code, products : product_id, financial_transactions : order_item_id | [Foreign Keys]: orders : customer_id = customers : customer_id | invoices : order_id = orders : order_id | accounts : customer_id = customers : customer_id | products : production_type_code = product_categories : production_type_code | financial_transactions : account_id = accounts : account_id | financial_transactions : invoice_number = invoices : invoice_number | order_items : order_id = orders : order_id | order_items : product_id = products : product_id | invoice_line_items : product_id = products : product_id | invoice_line_items : invoice_number = invoices : invoice_number | invoice_line_items : order_item_id = order_items : order_item_id |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | customers_and_invoices | Customers : customer_id (text) , customer_first_name (number) , customer_middle_initial (text) , customer_last_name (text) , gender (text) , email_address (text) , login_name (text) , login_password (text) , phone_number (text) , town_city (text) , state_county_province (text) , country (text) | Orders : order_id (text) , customer_id (number) , date_order_placed (text) , order_details (text) | Invoices : invoice_number (text) , order_id (number) , invoice_date (text) | Accounts : account_id (text) , customer_id (number) , date_account_opened (text) , account_name (text) , other_account_details (text) | Product_Categories : production_type_code (text) , product_type_description (number) , vat_rating (text) | Products : product_id (text) , parent_product_id (number) , production_type_code (text) , unit_price (text) , product_name (text) , product_color (text) , product_size (text) | Financial_Transactions : transaction_id (text) , account_id (number) , invoice_number (text) , transaction_type (text) , transaction_date (text) , transaction_amount (text) , transaction_comment (text) , other_transaction_details (text) | Order_Items : order_item_id (text) , order_id (number) , product_id (text) , product_quantity (text) , other_order_item_details (text) | Invoice_Line_Items : order_item_id (text) , invoice_number (number) , product_id (text) , product_title (text) , product_quantity (text) , product_price (text) , derived_product_cost (text) , derived_vat_payable (text) , derived_total_cost (text);</schema>"
<primary_keys>[Primary Keys]: customers : customer_id, orders : order_id, invoices : invoice_number, accounts : account_id, product_categories : production_type_code, products : product_id, financial_transactions : order_item_id</primary_keys>"
<foreign_keys>[Foreign Keys]: orders : customer_id = customers : customer_id | invoices : order_id = orders : order_id | accounts : customer_id = customers : customer_id | products : production_type_code = product_categories : production_type_code | financial_transactions : account_id = accounts : account_id | financial_transactions : invoice_number = invoices : invoice_number | order_items : order_id = orders : order_id | order_items : product_id = products : product_id | invoice_line_items : product_id = products : product_id | invoice_line_items : invoice_number = invoices : invoice_number | invoice_line_items : order_item_id = order_items : order_item_id</foreign_keys>"
Answer the following question with a SQL Statement:<question>How many accounts are there?</question>
[SQL]:
| <SQL_QUERY>SELECT count(*) FROM Accounts</SQL_QUERY> | customers_and_invoices | SELECT count(*) FROM Accounts | How many accounts are there? | [Schema (values) (types)]: | customers_and_invoices | Customers : customer_id (text) , customer_first_name (number) , customer_middle_initial (text) , customer_last_name (text) , gender (text) , email_address (text) , login_name (text) , login_password (text) , phone_number (text) , town_city (text) , state_county_province (text) , country (text) | Orders : order_id (text) , customer_id (number) , date_order_placed (text) , order_details (text) | Invoices : invoice_number (text) , order_id (number) , invoice_date (text) | Accounts : account_id (text) , customer_id (number) , date_account_opened (text) , account_name (text) , other_account_details (text) | Product_Categories : production_type_code (text) , product_type_description (number) , vat_rating (text) | Products : product_id (text) , parent_product_id (number) , production_type_code (text) , unit_price (text) , product_name (text) , product_color (text) , product_size (text) | Financial_Transactions : transaction_id (text) , account_id (number) , invoice_number (text) , transaction_type (text) , transaction_date (text) , transaction_amount (text) , transaction_comment (text) , other_transaction_details (text) | Order_Items : order_item_id (text) , order_id (number) , product_id (text) , product_quantity (text) , other_order_item_details (text) | Invoice_Line_Items : order_item_id (text) , invoice_number (number) , product_id (text) , product_title (text) , product_quantity (text) , product_price (text) , derived_product_cost (text) , derived_vat_payable (text) , derived_total_cost (text); | [Primary Keys]: customers : customer_id, orders : order_id, invoices : invoice_number, accounts : account_id, product_categories : production_type_code, products : product_id, financial_transactions : order_item_id | [Foreign Keys]: orders : customer_id = customers : customer_id | invoices : order_id = orders : order_id | accounts : customer_id = customers : customer_id | products : production_type_code = product_categories : production_type_code | financial_transactions : account_id = accounts : account_id | financial_transactions : invoice_number = invoices : invoice_number | order_items : order_id = orders : order_id | order_items : product_id = products : product_id | invoice_line_items : product_id = products : product_id | invoice_line_items : invoice_number = invoices : invoice_number | invoice_line_items : order_item_id = order_items : order_item_id |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | customers_and_invoices | Customers : customer_id (text) , customer_first_name (number) , customer_middle_initial (text) , customer_last_name (text) , gender (text) , email_address (text) , login_name (text) , login_password (text) , phone_number (text) , town_city (text) , state_county_province (text) , country (text) | Orders : order_id (text) , customer_id (number) , date_order_placed (text) , order_details (text) | Invoices : invoice_number (text) , order_id (number) , invoice_date (text) | Accounts : account_id (text) , customer_id (number) , date_account_opened (text) , account_name (text) , other_account_details (text) | Product_Categories : production_type_code (text) , product_type_description (number) , vat_rating (text) | Products : product_id (text) , parent_product_id (number) , production_type_code (text) , unit_price (text) , product_name (text) , product_color (text) , product_size (text) | Financial_Transactions : transaction_id (text) , account_id (number) , invoice_number (text) , transaction_type (text) , transaction_date (text) , transaction_amount (text) , transaction_comment (text) , other_transaction_details (text) | Order_Items : order_item_id (text) , order_id (number) , product_id (text) , product_quantity (text) , other_order_item_details (text) | Invoice_Line_Items : order_item_id (text) , invoice_number (number) , product_id (text) , product_title (text) , product_quantity (text) , product_price (text) , derived_product_cost (text) , derived_vat_payable (text) , derived_total_cost (text);</schema>"
<primary_keys>[Primary Keys]: customers : customer_id, orders : order_id, invoices : invoice_number, accounts : account_id, product_categories : production_type_code, products : product_id, financial_transactions : order_item_id</primary_keys>"
<foreign_keys>[Foreign Keys]: orders : customer_id = customers : customer_id | invoices : order_id = orders : order_id | accounts : customer_id = customers : customer_id | products : production_type_code = product_categories : production_type_code | financial_transactions : account_id = accounts : account_id | financial_transactions : invoice_number = invoices : invoice_number | order_items : order_id = orders : order_id | order_items : product_id = products : product_id | invoice_line_items : product_id = products : product_id | invoice_line_items : invoice_number = invoices : invoice_number | invoice_line_items : order_item_id = order_items : order_item_id</foreign_keys>"
Answer the following question with a SQL Statement:<question>How many customers have opened an account?</question>
[SQL]:
| <SQL_QUERY>SELECT count(DISTINCT customer_id) FROM Accounts</SQL_QUERY> | customers_and_invoices | SELECT count(DISTINCT customer_id) FROM Accounts | How many customers have opened an account? | [Schema (values) (types)]: | customers_and_invoices | Customers : customer_id (text) , customer_first_name (number) , customer_middle_initial (text) , customer_last_name (text) , gender (text) , email_address (text) , login_name (text) , login_password (text) , phone_number (text) , town_city (text) , state_county_province (text) , country (text) | Orders : order_id (text) , customer_id (number) , date_order_placed (text) , order_details (text) | Invoices : invoice_number (text) , order_id (number) , invoice_date (text) | Accounts : account_id (text) , customer_id (number) , date_account_opened (text) , account_name (text) , other_account_details (text) | Product_Categories : production_type_code (text) , product_type_description (number) , vat_rating (text) | Products : product_id (text) , parent_product_id (number) , production_type_code (text) , unit_price (text) , product_name (text) , product_color (text) , product_size (text) | Financial_Transactions : transaction_id (text) , account_id (number) , invoice_number (text) , transaction_type (text) , transaction_date (text) , transaction_amount (text) , transaction_comment (text) , other_transaction_details (text) | Order_Items : order_item_id (text) , order_id (number) , product_id (text) , product_quantity (text) , other_order_item_details (text) | Invoice_Line_Items : order_item_id (text) , invoice_number (number) , product_id (text) , product_title (text) , product_quantity (text) , product_price (text) , derived_product_cost (text) , derived_vat_payable (text) , derived_total_cost (text); | [Primary Keys]: customers : customer_id, orders : order_id, invoices : invoice_number, accounts : account_id, product_categories : production_type_code, products : product_id, financial_transactions : order_item_id | [Foreign Keys]: orders : customer_id = customers : customer_id | invoices : order_id = orders : order_id | accounts : customer_id = customers : customer_id | products : production_type_code = product_categories : production_type_code | financial_transactions : account_id = accounts : account_id | financial_transactions : invoice_number = invoices : invoice_number | order_items : order_id = orders : order_id | order_items : product_id = products : product_id | invoice_line_items : product_id = products : product_id | invoice_line_items : invoice_number = invoices : invoice_number | invoice_line_items : order_item_id = order_items : order_item_id |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | customers_and_invoices | Customers : customer_id (text) , customer_first_name (number) , customer_middle_initial (text) , customer_last_name (text) , gender (text) , email_address (text) , login_name (text) , login_password (text) , phone_number (text) , town_city (text) , state_county_province (text) , country (text) | Orders : order_id (text) , customer_id (number) , date_order_placed (text) , order_details (text) | Invoices : invoice_number (text) , order_id (number) , invoice_date (text) | Accounts : account_id (text) , customer_id (number) , date_account_opened (text) , account_name (text) , other_account_details (text) | Product_Categories : production_type_code (text) , product_type_description (number) , vat_rating (text) | Products : product_id (text) , parent_product_id (number) , production_type_code (text) , unit_price (text) , product_name (text) , product_color (text) , product_size (text) | Financial_Transactions : transaction_id (text) , account_id (number) , invoice_number (text) , transaction_type (text) , transaction_date (text) , transaction_amount (text) , transaction_comment (text) , other_transaction_details (text) | Order_Items : order_item_id (text) , order_id (number) , product_id (text) , product_quantity (text) , other_order_item_details (text) | Invoice_Line_Items : order_item_id (text) , invoice_number (number) , product_id (text) , product_title (text) , product_quantity (text) , product_price (text) , derived_product_cost (text) , derived_vat_payable (text) , derived_total_cost (text);</schema>"
<primary_keys>[Primary Keys]: customers : customer_id, orders : order_id, invoices : invoice_number, accounts : account_id, product_categories : production_type_code, products : product_id, financial_transactions : order_item_id</primary_keys>"
<foreign_keys>[Foreign Keys]: orders : customer_id = customers : customer_id | invoices : order_id = orders : order_id | accounts : customer_id = customers : customer_id | products : production_type_code = product_categories : production_type_code | financial_transactions : account_id = accounts : account_id | financial_transactions : invoice_number = invoices : invoice_number | order_items : order_id = orders : order_id | order_items : product_id = products : product_id | invoice_line_items : product_id = products : product_id | invoice_line_items : invoice_number = invoices : invoice_number | invoice_line_items : order_item_id = order_items : order_item_id</foreign_keys>"
Answer the following question with a SQL Statement:<question>Count the number of customers who have an account.</question>
[SQL]:
| <SQL_QUERY>SELECT count(DISTINCT customer_id) FROM Accounts</SQL_QUERY> | customers_and_invoices | SELECT count(DISTINCT customer_id) FROM Accounts | Count the number of customers who have an account. | [Schema (values) (types)]: | customers_and_invoices | Customers : customer_id (text) , customer_first_name (number) , customer_middle_initial (text) , customer_last_name (text) , gender (text) , email_address (text) , login_name (text) , login_password (text) , phone_number (text) , town_city (text) , state_county_province (text) , country (text) | Orders : order_id (text) , customer_id (number) , date_order_placed (text) , order_details (text) | Invoices : invoice_number (text) , order_id (number) , invoice_date (text) | Accounts : account_id (text) , customer_id (number) , date_account_opened (text) , account_name (text) , other_account_details (text) | Product_Categories : production_type_code (text) , product_type_description (number) , vat_rating (text) | Products : product_id (text) , parent_product_id (number) , production_type_code (text) , unit_price (text) , product_name (text) , product_color (text) , product_size (text) | Financial_Transactions : transaction_id (text) , account_id (number) , invoice_number (text) , transaction_type (text) , transaction_date (text) , transaction_amount (text) , transaction_comment (text) , other_transaction_details (text) | Order_Items : order_item_id (text) , order_id (number) , product_id (text) , product_quantity (text) , other_order_item_details (text) | Invoice_Line_Items : order_item_id (text) , invoice_number (number) , product_id (text) , product_title (text) , product_quantity (text) , product_price (text) , derived_product_cost (text) , derived_vat_payable (text) , derived_total_cost (text); | [Primary Keys]: customers : customer_id, orders : order_id, invoices : invoice_number, accounts : account_id, product_categories : production_type_code, products : product_id, financial_transactions : order_item_id | [Foreign Keys]: orders : customer_id = customers : customer_id | invoices : order_id = orders : order_id | accounts : customer_id = customers : customer_id | products : production_type_code = product_categories : production_type_code | financial_transactions : account_id = accounts : account_id | financial_transactions : invoice_number = invoices : invoice_number | order_items : order_id = orders : order_id | order_items : product_id = products : product_id | invoice_line_items : product_id = products : product_id | invoice_line_items : invoice_number = invoices : invoice_number | invoice_line_items : order_item_id = order_items : order_item_id |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | customers_and_invoices | Customers : customer_id (text) , customer_first_name (number) , customer_middle_initial (text) , customer_last_name (text) , gender (text) , email_address (text) , login_name (text) , login_password (text) , phone_number (text) , town_city (text) , state_county_province (text) , country (text) | Orders : order_id (text) , customer_id (number) , date_order_placed (text) , order_details (text) | Invoices : invoice_number (text) , order_id (number) , invoice_date (text) | Accounts : account_id (text) , customer_id (number) , date_account_opened (text) , account_name (text) , other_account_details (text) | Product_Categories : production_type_code (text) , product_type_description (number) , vat_rating (text) | Products : product_id (text) , parent_product_id (number) , production_type_code (text) , unit_price (text) , product_name (text) , product_color (text) , product_size (text) | Financial_Transactions : transaction_id (text) , account_id (number) , invoice_number (text) , transaction_type (text) , transaction_date (text) , transaction_amount (text) , transaction_comment (text) , other_transaction_details (text) | Order_Items : order_item_id (text) , order_id (number) , product_id (text) , product_quantity (text) , other_order_item_details (text) | Invoice_Line_Items : order_item_id (text) , invoice_number (number) , product_id (text) , product_title (text) , product_quantity (text) , product_price (text) , derived_product_cost (text) , derived_vat_payable (text) , derived_total_cost (text);</schema>"
<primary_keys>[Primary Keys]: customers : customer_id, orders : order_id, invoices : invoice_number, accounts : account_id, product_categories : production_type_code, products : product_id, financial_transactions : order_item_id</primary_keys>"
<foreign_keys>[Foreign Keys]: orders : customer_id = customers : customer_id | invoices : order_id = orders : order_id | accounts : customer_id = customers : customer_id | products : production_type_code = product_categories : production_type_code | financial_transactions : account_id = accounts : account_id | financial_transactions : invoice_number = invoices : invoice_number | order_items : order_id = orders : order_id | order_items : product_id = products : product_id | invoice_line_items : product_id = products : product_id | invoice_line_items : invoice_number = invoices : invoice_number | invoice_line_items : order_item_id = order_items : order_item_id</foreign_keys>"
Answer the following question with a SQL Statement:<question>Show the id, the date of account opened, the account name, and other account detail for all accounts.</question>
[SQL]:
| <SQL_QUERY>SELECT account_id , date_account_opened , account_name , other_account_details FROM Accounts</SQL_QUERY> | customers_and_invoices | SELECT account_id , date_account_opened , account_name , other_account_details FROM Accounts | Show the id, the date of account opened, the account name, and other account detail for all accounts. | [Schema (values) (types)]: | customers_and_invoices | Customers : customer_id (text) , customer_first_name (number) , customer_middle_initial (text) , customer_last_name (text) , gender (text) , email_address (text) , login_name (text) , login_password (text) , phone_number (text) , town_city (text) , state_county_province (text) , country (text) | Orders : order_id (text) , customer_id (number) , date_order_placed (text) , order_details (text) | Invoices : invoice_number (text) , order_id (number) , invoice_date (text) | Accounts : account_id (text) , customer_id (number) , date_account_opened (text) , account_name (text) , other_account_details (text) | Product_Categories : production_type_code (text) , product_type_description (number) , vat_rating (text) | Products : product_id (text) , parent_product_id (number) , production_type_code (text) , unit_price (text) , product_name (text) , product_color (text) , product_size (text) | Financial_Transactions : transaction_id (text) , account_id (number) , invoice_number (text) , transaction_type (text) , transaction_date (text) , transaction_amount (text) , transaction_comment (text) , other_transaction_details (text) | Order_Items : order_item_id (text) , order_id (number) , product_id (text) , product_quantity (text) , other_order_item_details (text) | Invoice_Line_Items : order_item_id (text) , invoice_number (number) , product_id (text) , product_title (text) , product_quantity (text) , product_price (text) , derived_product_cost (text) , derived_vat_payable (text) , derived_total_cost (text); | [Primary Keys]: customers : customer_id, orders : order_id, invoices : invoice_number, accounts : account_id, product_categories : production_type_code, products : product_id, financial_transactions : order_item_id | [Foreign Keys]: orders : customer_id = customers : customer_id | invoices : order_id = orders : order_id | accounts : customer_id = customers : customer_id | products : production_type_code = product_categories : production_type_code | financial_transactions : account_id = accounts : account_id | financial_transactions : invoice_number = invoices : invoice_number | order_items : order_id = orders : order_id | order_items : product_id = products : product_id | invoice_line_items : product_id = products : product_id | invoice_line_items : invoice_number = invoices : invoice_number | invoice_line_items : order_item_id = order_items : order_item_id |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | customers_and_invoices | Customers : customer_id (text) , customer_first_name (number) , customer_middle_initial (text) , customer_last_name (text) , gender (text) , email_address (text) , login_name (text) , login_password (text) , phone_number (text) , town_city (text) , state_county_province (text) , country (text) | Orders : order_id (text) , customer_id (number) , date_order_placed (text) , order_details (text) | Invoices : invoice_number (text) , order_id (number) , invoice_date (text) | Accounts : account_id (text) , customer_id (number) , date_account_opened (text) , account_name (text) , other_account_details (text) | Product_Categories : production_type_code (text) , product_type_description (number) , vat_rating (text) | Products : product_id (text) , parent_product_id (number) , production_type_code (text) , unit_price (text) , product_name (text) , product_color (text) , product_size (text) | Financial_Transactions : transaction_id (text) , account_id (number) , invoice_number (text) , transaction_type (text) , transaction_date (text) , transaction_amount (text) , transaction_comment (text) , other_transaction_details (text) | Order_Items : order_item_id (text) , order_id (number) , product_id (text) , product_quantity (text) , other_order_item_details (text) | Invoice_Line_Items : order_item_id (text) , invoice_number (number) , product_id (text) , product_title (text) , product_quantity (text) , product_price (text) , derived_product_cost (text) , derived_vat_payable (text) , derived_total_cost (text);</schema>"
<primary_keys>[Primary Keys]: customers : customer_id, orders : order_id, invoices : invoice_number, accounts : account_id, product_categories : production_type_code, products : product_id, financial_transactions : order_item_id</primary_keys>"
<foreign_keys>[Foreign Keys]: orders : customer_id = customers : customer_id | invoices : order_id = orders : order_id | accounts : customer_id = customers : customer_id | products : production_type_code = product_categories : production_type_code | financial_transactions : account_id = accounts : account_id | financial_transactions : invoice_number = invoices : invoice_number | order_items : order_id = orders : order_id | order_items : product_id = products : product_id | invoice_line_items : product_id = products : product_id | invoice_line_items : invoice_number = invoices : invoice_number | invoice_line_items : order_item_id = order_items : order_item_id</foreign_keys>"
Answer the following question with a SQL Statement:<question>What are the ids, date opened, name, and other details for all accounts?</question>
[SQL]:
| <SQL_QUERY>SELECT account_id , date_account_opened , account_name , other_account_details FROM Accounts</SQL_QUERY> | customers_and_invoices | SELECT account_id , date_account_opened , account_name , other_account_details FROM Accounts | What are the ids, date opened, name, and other details for all accounts? | [Schema (values) (types)]: | customers_and_invoices | Customers : customer_id (text) , customer_first_name (number) , customer_middle_initial (text) , customer_last_name (text) , gender (text) , email_address (text) , login_name (text) , login_password (text) , phone_number (text) , town_city (text) , state_county_province (text) , country (text) | Orders : order_id (text) , customer_id (number) , date_order_placed (text) , order_details (text) | Invoices : invoice_number (text) , order_id (number) , invoice_date (text) | Accounts : account_id (text) , customer_id (number) , date_account_opened (text) , account_name (text) , other_account_details (text) | Product_Categories : production_type_code (text) , product_type_description (number) , vat_rating (text) | Products : product_id (text) , parent_product_id (number) , production_type_code (text) , unit_price (text) , product_name (text) , product_color (text) , product_size (text) | Financial_Transactions : transaction_id (text) , account_id (number) , invoice_number (text) , transaction_type (text) , transaction_date (text) , transaction_amount (text) , transaction_comment (text) , other_transaction_details (text) | Order_Items : order_item_id (text) , order_id (number) , product_id (text) , product_quantity (text) , other_order_item_details (text) | Invoice_Line_Items : order_item_id (text) , invoice_number (number) , product_id (text) , product_title (text) , product_quantity (text) , product_price (text) , derived_product_cost (text) , derived_vat_payable (text) , derived_total_cost (text); | [Primary Keys]: customers : customer_id, orders : order_id, invoices : invoice_number, accounts : account_id, product_categories : production_type_code, products : product_id, financial_transactions : order_item_id | [Foreign Keys]: orders : customer_id = customers : customer_id | invoices : order_id = orders : order_id | accounts : customer_id = customers : customer_id | products : production_type_code = product_categories : production_type_code | financial_transactions : account_id = accounts : account_id | financial_transactions : invoice_number = invoices : invoice_number | order_items : order_id = orders : order_id | order_items : product_id = products : product_id | invoice_line_items : product_id = products : product_id | invoice_line_items : invoice_number = invoices : invoice_number | invoice_line_items : order_item_id = order_items : order_item_id |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | customers_and_invoices | Customers : customer_id (text) , customer_first_name (number) , customer_middle_initial (text) , customer_last_name (text) , gender (text) , email_address (text) , login_name (text) , login_password (text) , phone_number (text) , town_city (text) , state_county_province (text) , country (text) | Orders : order_id (text) , customer_id (number) , date_order_placed (text) , order_details (text) | Invoices : invoice_number (text) , order_id (number) , invoice_date (text) | Accounts : account_id (text) , customer_id (number) , date_account_opened (text) , account_name (text) , other_account_details (text) | Product_Categories : production_type_code (text) , product_type_description (number) , vat_rating (text) | Products : product_id (text) , parent_product_id (number) , production_type_code (text) , unit_price (text) , product_name (text) , product_color (text) , product_size (text) | Financial_Transactions : transaction_id (text) , account_id (number) , invoice_number (text) , transaction_type (text) , transaction_date (text) , transaction_amount (text) , transaction_comment (text) , other_transaction_details (text) | Order_Items : order_item_id (text) , order_id (number) , product_id (text) , product_quantity (text) , other_order_item_details (text) | Invoice_Line_Items : order_item_id (text) , invoice_number (number) , product_id (text) , product_title (text) , product_quantity (text) , product_price (text) , derived_product_cost (text) , derived_vat_payable (text) , derived_total_cost (text);</schema>"
<primary_keys>[Primary Keys]: customers : customer_id, orders : order_id, invoices : invoice_number, accounts : account_id, product_categories : production_type_code, products : product_id, financial_transactions : order_item_id</primary_keys>"
<foreign_keys>[Foreign Keys]: orders : customer_id = customers : customer_id | invoices : order_id = orders : order_id | accounts : customer_id = customers : customer_id | products : production_type_code = product_categories : production_type_code | financial_transactions : account_id = accounts : account_id | financial_transactions : invoice_number = invoices : invoice_number | order_items : order_id = orders : order_id | order_items : product_id = products : product_id | invoice_line_items : product_id = products : product_id | invoice_line_items : invoice_number = invoices : invoice_number | invoice_line_items : order_item_id = order_items : order_item_id</foreign_keys>"
Answer the following question with a SQL Statement:<question>Show the id, the account name, and other account details for all accounts by the customer with first name 'Meaghan'.</question>
[SQL]:
| <SQL_QUERY>SELECT T1.account_id , T1.date_account_opened , 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'</SQL_QUERY> | customers_and_invoices | SELECT T1.account_id , T1.date_account_opened , 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' | Show the id, the account name, and other account details for all accounts by the customer with first name 'Meaghan'. | [Schema (values) (types)]: | customers_and_invoices | Customers : customer_id (text) , customer_first_name (number) , customer_middle_initial (text) , customer_last_name (text) , gender (text) , email_address (text) , login_name (text) , login_password (text) , phone_number (text) , town_city (text) , state_county_province (text) , country (text) | Orders : order_id (text) , customer_id (number) , date_order_placed (text) , order_details (text) | Invoices : invoice_number (text) , order_id (number) , invoice_date (text) | Accounts : account_id (text) , customer_id (number) , date_account_opened (text) , account_name (text) , other_account_details (text) | Product_Categories : production_type_code (text) , product_type_description (number) , vat_rating (text) | Products : product_id (text) , parent_product_id (number) , production_type_code (text) , unit_price (text) , product_name (text) , product_color (text) , product_size (text) | Financial_Transactions : transaction_id (text) , account_id (number) , invoice_number (text) , transaction_type (text) , transaction_date (text) , transaction_amount (text) , transaction_comment (text) , other_transaction_details (text) | Order_Items : order_item_id (text) , order_id (number) , product_id (text) , product_quantity (text) , other_order_item_details (text) | Invoice_Line_Items : order_item_id (text) , invoice_number (number) , product_id (text) , product_title (text) , product_quantity (text) , product_price (text) , derived_product_cost (text) , derived_vat_payable (text) , derived_total_cost (text); | [Primary Keys]: customers : customer_id, orders : order_id, invoices : invoice_number, accounts : account_id, product_categories : production_type_code, products : product_id, financial_transactions : order_item_id | [Foreign Keys]: orders : customer_id = customers : customer_id | invoices : order_id = orders : order_id | accounts : customer_id = customers : customer_id | products : production_type_code = product_categories : production_type_code | financial_transactions : account_id = accounts : account_id | financial_transactions : invoice_number = invoices : invoice_number | order_items : order_id = orders : order_id | order_items : product_id = products : product_id | invoice_line_items : product_id = products : product_id | invoice_line_items : invoice_number = invoices : invoice_number | invoice_line_items : order_item_id = order_items : order_item_id |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | customers_and_invoices | Customers : customer_id (text) , customer_first_name (number) , customer_middle_initial (text) , customer_last_name (text) , gender (text) , email_address (text) , login_name (text) , login_password (text) , phone_number (text) , town_city (text) , state_county_province (text) , country (text) | Orders : order_id (text) , customer_id (number) , date_order_placed (text) , order_details (text) | Invoices : invoice_number (text) , order_id (number) , invoice_date (text) | Accounts : account_id (text) , customer_id (number) , date_account_opened (text) , account_name (text) , other_account_details (text) | Product_Categories : production_type_code (text) , product_type_description (number) , vat_rating (text) | Products : product_id (text) , parent_product_id (number) , production_type_code (text) , unit_price (text) , product_name (text) , product_color (text) , product_size (text) | Financial_Transactions : transaction_id (text) , account_id (number) , invoice_number (text) , transaction_type (text) , transaction_date (text) , transaction_amount (text) , transaction_comment (text) , other_transaction_details (text) | Order_Items : order_item_id (text) , order_id (number) , product_id (text) , product_quantity (text) , other_order_item_details (text) | Invoice_Line_Items : order_item_id (text) , invoice_number (number) , product_id (text) , product_title (text) , product_quantity (text) , product_price (text) , derived_product_cost (text) , derived_vat_payable (text) , derived_total_cost (text);</schema>"
<primary_keys>[Primary Keys]: customers : customer_id, orders : order_id, invoices : invoice_number, accounts : account_id, product_categories : production_type_code, products : product_id, financial_transactions : order_item_id</primary_keys>"
<foreign_keys>[Foreign Keys]: orders : customer_id = customers : customer_id | invoices : order_id = orders : order_id | accounts : customer_id = customers : customer_id | products : production_type_code = product_categories : production_type_code | financial_transactions : account_id = accounts : account_id | financial_transactions : invoice_number = invoices : invoice_number | order_items : order_id = orders : order_id | order_items : product_id = products : product_id | invoice_line_items : product_id = products : product_id | invoice_line_items : invoice_number = invoices : invoice_number | invoice_line_items : order_item_id = order_items : order_item_id</foreign_keys>"
Answer the following question with a SQL Statement:<question>What are the ids, names, dates of opening, and other details for accounts corresponding to the customer with the first name "Meaghan"?</question>
[SQL]:
| <SQL_QUERY>SELECT T1.account_id , T1.date_account_opened , 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'</SQL_QUERY> | customers_and_invoices | SELECT T1.account_id , T1.date_account_opened , 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' | What are the ids, names, dates of opening, and other details for accounts corresponding to the customer with the first name "Meaghan"? | [Schema (values) (types)]: | customers_and_invoices | Customers : customer_id (text) , customer_first_name (number) , customer_middle_initial (text) , customer_last_name (text) , gender (text) , email_address (text) , login_name (text) , login_password (text) , phone_number (text) , town_city (text) , state_county_province (text) , country (text) | Orders : order_id (text) , customer_id (number) , date_order_placed (text) , order_details (text) | Invoices : invoice_number (text) , order_id (number) , invoice_date (text) | Accounts : account_id (text) , customer_id (number) , date_account_opened (text) , account_name (text) , other_account_details (text) | Product_Categories : production_type_code (text) , product_type_description (number) , vat_rating (text) | Products : product_id (text) , parent_product_id (number) , production_type_code (text) , unit_price (text) , product_name (text) , product_color (text) , product_size (text) | Financial_Transactions : transaction_id (text) , account_id (number) , invoice_number (text) , transaction_type (text) , transaction_date (text) , transaction_amount (text) , transaction_comment (text) , other_transaction_details (text) | Order_Items : order_item_id (text) , order_id (number) , product_id (text) , product_quantity (text) , other_order_item_details (text) | Invoice_Line_Items : order_item_id (text) , invoice_number (number) , product_id (text) , product_title (text) , product_quantity (text) , product_price (text) , derived_product_cost (text) , derived_vat_payable (text) , derived_total_cost (text); | [Primary Keys]: customers : customer_id, orders : order_id, invoices : invoice_number, accounts : account_id, product_categories : production_type_code, products : product_id, financial_transactions : order_item_id | [Foreign Keys]: orders : customer_id = customers : customer_id | invoices : order_id = orders : order_id | accounts : customer_id = customers : customer_id | products : production_type_code = product_categories : production_type_code | financial_transactions : account_id = accounts : account_id | financial_transactions : invoice_number = invoices : invoice_number | order_items : order_id = orders : order_id | order_items : product_id = products : product_id | invoice_line_items : product_id = products : product_id | invoice_line_items : invoice_number = invoices : invoice_number | invoice_line_items : order_item_id = order_items : order_item_id |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | customers_and_invoices | Customers : customer_id (text) , customer_first_name (number) , customer_middle_initial (text) , customer_last_name (text) , gender (text) , email_address (text) , login_name (text) , login_password (text) , phone_number (text) , town_city (text) , state_county_province (text) , country (text) | Orders : order_id (text) , customer_id (number) , date_order_placed (text) , order_details (text) | Invoices : invoice_number (text) , order_id (number) , invoice_date (text) | Accounts : account_id (text) , customer_id (number) , date_account_opened (text) , account_name (text) , other_account_details (text) | Product_Categories : production_type_code (text) , product_type_description (number) , vat_rating (text) | Products : product_id (text) , parent_product_id (number) , production_type_code (text) , unit_price (text) , product_name (text) , product_color (text) , product_size (text) | Financial_Transactions : transaction_id (text) , account_id (number) , invoice_number (text) , transaction_type (text) , transaction_date (text) , transaction_amount (text) , transaction_comment (text) , other_transaction_details (text) | Order_Items : order_item_id (text) , order_id (number) , product_id (text) , product_quantity (text) , other_order_item_details (text) | Invoice_Line_Items : order_item_id (text) , invoice_number (number) , product_id (text) , product_title (text) , product_quantity (text) , product_price (text) , derived_product_cost (text) , derived_vat_payable (text) , derived_total_cost (text);</schema>"
<primary_keys>[Primary Keys]: customers : customer_id, orders : order_id, invoices : invoice_number, accounts : account_id, product_categories : production_type_code, products : product_id, financial_transactions : order_item_id</primary_keys>"
<foreign_keys>[Foreign Keys]: orders : customer_id = customers : customer_id | invoices : order_id = orders : order_id | accounts : customer_id = customers : customer_id | products : production_type_code = product_categories : production_type_code | financial_transactions : account_id = accounts : account_id | financial_transactions : invoice_number = invoices : invoice_number | order_items : order_id = orders : order_id | order_items : product_id = products : product_id | invoice_line_items : product_id = products : product_id | invoice_line_items : invoice_number = invoices : invoice_number | invoice_line_items : order_item_id = order_items : order_item_id</foreign_keys>"
Answer the following question with a SQL Statement:<question>Show the account name and other account detail for all accounts by the customer with first name Meaghan and last name Keeling.</question>
[SQL]:
| <SQL_QUERY>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"</SQL_QUERY> | 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. | [Schema (values) (types)]: | customers_and_invoices | Customers : customer_id (text) , customer_first_name (number) , customer_middle_initial (text) , customer_last_name (text) , gender (text) , email_address (text) , login_name (text) , login_password (text) , phone_number (text) , town_city (text) , state_county_province (text) , country (text) | Orders : order_id (text) , customer_id (number) , date_order_placed (text) , order_details (text) | Invoices : invoice_number (text) , order_id (number) , invoice_date (text) | Accounts : account_id (text) , customer_id (number) , date_account_opened (text) , account_name (text) , other_account_details (text) | Product_Categories : production_type_code (text) , product_type_description (number) , vat_rating (text) | Products : product_id (text) , parent_product_id (number) , production_type_code (text) , unit_price (text) , product_name (text) , product_color (text) , product_size (text) | Financial_Transactions : transaction_id (text) , account_id (number) , invoice_number (text) , transaction_type (text) , transaction_date (text) , transaction_amount (text) , transaction_comment (text) , other_transaction_details (text) | Order_Items : order_item_id (text) , order_id (number) , product_id (text) , product_quantity (text) , other_order_item_details (text) | Invoice_Line_Items : order_item_id (text) , invoice_number (number) , product_id (text) , product_title (text) , product_quantity (text) , product_price (text) , derived_product_cost (text) , derived_vat_payable (text) , derived_total_cost (text); | [Primary Keys]: customers : customer_id, orders : order_id, invoices : invoice_number, accounts : account_id, product_categories : production_type_code, products : product_id, financial_transactions : order_item_id | [Foreign Keys]: orders : customer_id = customers : customer_id | invoices : order_id = orders : order_id | accounts : customer_id = customers : customer_id | products : production_type_code = product_categories : production_type_code | financial_transactions : account_id = accounts : account_id | financial_transactions : invoice_number = invoices : invoice_number | order_items : order_id = orders : order_id | order_items : product_id = products : product_id | invoice_line_items : product_id = products : product_id | invoice_line_items : invoice_number = invoices : invoice_number | invoice_line_items : order_item_id = order_items : order_item_id |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | customers_and_invoices | Customers : customer_id (text) , customer_first_name (number) , customer_middle_initial (text) , customer_last_name (text) , gender (text) , email_address (text) , login_name (text) , login_password (text) , phone_number (text) , town_city (text) , state_county_province (text) , country (text) | Orders : order_id (text) , customer_id (number) , date_order_placed (text) , order_details (text) | Invoices : invoice_number (text) , order_id (number) , invoice_date (text) | Accounts : account_id (text) , customer_id (number) , date_account_opened (text) , account_name (text) , other_account_details (text) | Product_Categories : production_type_code (text) , product_type_description (number) , vat_rating (text) | Products : product_id (text) , parent_product_id (number) , production_type_code (text) , unit_price (text) , product_name (text) , product_color (text) , product_size (text) | Financial_Transactions : transaction_id (text) , account_id (number) , invoice_number (text) , transaction_type (text) , transaction_date (text) , transaction_amount (text) , transaction_comment (text) , other_transaction_details (text) | Order_Items : order_item_id (text) , order_id (number) , product_id (text) , product_quantity (text) , other_order_item_details (text) | Invoice_Line_Items : order_item_id (text) , invoice_number (number) , product_id (text) , product_title (text) , product_quantity (text) , product_price (text) , derived_product_cost (text) , derived_vat_payable (text) , derived_total_cost (text);</schema>"
<primary_keys>[Primary Keys]: customers : customer_id, orders : order_id, invoices : invoice_number, accounts : account_id, product_categories : production_type_code, products : product_id, financial_transactions : order_item_id</primary_keys>"
<foreign_keys>[Foreign Keys]: orders : customer_id = customers : customer_id | invoices : order_id = orders : order_id | accounts : customer_id = customers : customer_id | products : production_type_code = product_categories : production_type_code | financial_transactions : account_id = accounts : account_id | financial_transactions : invoice_number = invoices : invoice_number | order_items : order_id = orders : order_id | order_items : product_id = products : product_id | invoice_line_items : product_id = products : product_id | invoice_line_items : invoice_number = invoices : invoice_number | invoice_line_items : order_item_id = order_items : order_item_id</foreign_keys>"
Answer the following question with a SQL Statement:<question>What are the names and other details for accounts corresponding to the customer named Meaghan Keeling?</question>
[SQL]:
| <SQL_QUERY>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"</SQL_QUERY> | 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" | What are the names and other details for accounts corresponding to the customer named Meaghan Keeling? | [Schema (values) (types)]: | customers_and_invoices | Customers : customer_id (text) , customer_first_name (number) , customer_middle_initial (text) , customer_last_name (text) , gender (text) , email_address (text) , login_name (text) , login_password (text) , phone_number (text) , town_city (text) , state_county_province (text) , country (text) | Orders : order_id (text) , customer_id (number) , date_order_placed (text) , order_details (text) | Invoices : invoice_number (text) , order_id (number) , invoice_date (text) | Accounts : account_id (text) , customer_id (number) , date_account_opened (text) , account_name (text) , other_account_details (text) | Product_Categories : production_type_code (text) , product_type_description (number) , vat_rating (text) | Products : product_id (text) , parent_product_id (number) , production_type_code (text) , unit_price (text) , product_name (text) , product_color (text) , product_size (text) | Financial_Transactions : transaction_id (text) , account_id (number) , invoice_number (text) , transaction_type (text) , transaction_date (text) , transaction_amount (text) , transaction_comment (text) , other_transaction_details (text) | Order_Items : order_item_id (text) , order_id (number) , product_id (text) , product_quantity (text) , other_order_item_details (text) | Invoice_Line_Items : order_item_id (text) , invoice_number (number) , product_id (text) , product_title (text) , product_quantity (text) , product_price (text) , derived_product_cost (text) , derived_vat_payable (text) , derived_total_cost (text); | [Primary Keys]: customers : customer_id, orders : order_id, invoices : invoice_number, accounts : account_id, product_categories : production_type_code, products : product_id, financial_transactions : order_item_id | [Foreign Keys]: orders : customer_id = customers : customer_id | invoices : order_id = orders : order_id | accounts : customer_id = customers : customer_id | products : production_type_code = product_categories : production_type_code | financial_transactions : account_id = accounts : account_id | financial_transactions : invoice_number = invoices : invoice_number | order_items : order_id = orders : order_id | order_items : product_id = products : product_id | invoice_line_items : product_id = products : product_id | invoice_line_items : invoice_number = invoices : invoice_number | invoice_line_items : order_item_id = order_items : order_item_id |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | customers_and_invoices | Customers : customer_id (text) , customer_first_name (number) , customer_middle_initial (text) , customer_last_name (text) , gender (text) , email_address (text) , login_name (text) , login_password (text) , phone_number (text) , town_city (text) , state_county_province (text) , country (text) | Orders : order_id (text) , customer_id (number) , date_order_placed (text) , order_details (text) | Invoices : invoice_number (text) , order_id (number) , invoice_date (text) | Accounts : account_id (text) , customer_id (number) , date_account_opened (text) , account_name (text) , other_account_details (text) | Product_Categories : production_type_code (text) , product_type_description (number) , vat_rating (text) | Products : product_id (text) , parent_product_id (number) , production_type_code (text) , unit_price (text) , product_name (text) , product_color (text) , product_size (text) | Financial_Transactions : transaction_id (text) , account_id (number) , invoice_number (text) , transaction_type (text) , transaction_date (text) , transaction_amount (text) , transaction_comment (text) , other_transaction_details (text) | Order_Items : order_item_id (text) , order_id (number) , product_id (text) , product_quantity (text) , other_order_item_details (text) | Invoice_Line_Items : order_item_id (text) , invoice_number (number) , product_id (text) , product_title (text) , product_quantity (text) , product_price (text) , derived_product_cost (text) , derived_vat_payable (text) , derived_total_cost (text);</schema>"
<primary_keys>[Primary Keys]: customers : customer_id, orders : order_id, invoices : invoice_number, accounts : account_id, product_categories : production_type_code, products : product_id, financial_transactions : order_item_id</primary_keys>"
<foreign_keys>[Foreign Keys]: orders : customer_id = customers : customer_id | invoices : order_id = orders : order_id | accounts : customer_id = customers : customer_id | products : production_type_code = product_categories : production_type_code | financial_transactions : account_id = accounts : account_id | financial_transactions : invoice_number = invoices : invoice_number | order_items : order_id = orders : order_id | order_items : product_id = products : product_id | invoice_line_items : product_id = products : product_id | invoice_line_items : invoice_number = invoices : invoice_number | invoice_line_items : order_item_id = order_items : order_item_id</foreign_keys>"
Answer the following question with a SQL Statement:<question>Show the first name and last name for the customer with account name 900.</question>
[SQL]:
| <SQL_QUERY>SELECT T2.customer_first_name , T2.customer_last_name FROM Accounts AS T1 JOIN Customers AS T2 ON T1.customer_id = T2.customer_id WHERE T1.account_name = "900"</SQL_QUERY> | customers_and_invoices | SELECT T2.customer_first_name , T2.customer_last_name FROM Accounts AS T1 JOIN Customers AS T2 ON T1.customer_id = T2.customer_id WHERE T1.account_name = "900" | Show the first name and last name for the customer with account name 900. | [Schema (values) (types)]: | customers_and_invoices | Customers : customer_id (text) , customer_first_name (number) , customer_middle_initial (text) , customer_last_name (text) , gender (text) , email_address (text) , login_name (text) , login_password (text) , phone_number (text) , town_city (text) , state_county_province (text) , country (text) | Orders : order_id (text) , customer_id (number) , date_order_placed (text) , order_details (text) | Invoices : invoice_number (text) , order_id (number) , invoice_date (text) | Accounts : account_id (text) , customer_id (number) , date_account_opened (text) , account_name (text) , other_account_details (text) | Product_Categories : production_type_code (text) , product_type_description (number) , vat_rating (text) | Products : product_id (text) , parent_product_id (number) , production_type_code (text) , unit_price (text) , product_name (text) , product_color (text) , product_size (text) | Financial_Transactions : transaction_id (text) , account_id (number) , invoice_number (text) , transaction_type (text) , transaction_date (text) , transaction_amount (text) , transaction_comment (text) , other_transaction_details (text) | Order_Items : order_item_id (text) , order_id (number) , product_id (text) , product_quantity (text) , other_order_item_details (text) | Invoice_Line_Items : order_item_id (text) , invoice_number (number) , product_id (text) , product_title (text) , product_quantity (text) , product_price (text) , derived_product_cost (text) , derived_vat_payable (text) , derived_total_cost (text); | [Primary Keys]: customers : customer_id, orders : order_id, invoices : invoice_number, accounts : account_id, product_categories : production_type_code, products : product_id, financial_transactions : order_item_id | [Foreign Keys]: orders : customer_id = customers : customer_id | invoices : order_id = orders : order_id | accounts : customer_id = customers : customer_id | products : production_type_code = product_categories : production_type_code | financial_transactions : account_id = accounts : account_id | financial_transactions : invoice_number = invoices : invoice_number | order_items : order_id = orders : order_id | order_items : product_id = products : product_id | invoice_line_items : product_id = products : product_id | invoice_line_items : invoice_number = invoices : invoice_number | invoice_line_items : order_item_id = order_items : order_item_id |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | customers_and_invoices | Customers : customer_id (text) , customer_first_name (number) , customer_middle_initial (text) , customer_last_name (text) , gender (text) , email_address (text) , login_name (text) , login_password (text) , phone_number (text) , town_city (text) , state_county_province (text) , country (text) | Orders : order_id (text) , customer_id (number) , date_order_placed (text) , order_details (text) | Invoices : invoice_number (text) , order_id (number) , invoice_date (text) | Accounts : account_id (text) , customer_id (number) , date_account_opened (text) , account_name (text) , other_account_details (text) | Product_Categories : production_type_code (text) , product_type_description (number) , vat_rating (text) | Products : product_id (text) , parent_product_id (number) , production_type_code (text) , unit_price (text) , product_name (text) , product_color (text) , product_size (text) | Financial_Transactions : transaction_id (text) , account_id (number) , invoice_number (text) , transaction_type (text) , transaction_date (text) , transaction_amount (text) , transaction_comment (text) , other_transaction_details (text) | Order_Items : order_item_id (text) , order_id (number) , product_id (text) , product_quantity (text) , other_order_item_details (text) | Invoice_Line_Items : order_item_id (text) , invoice_number (number) , product_id (text) , product_title (text) , product_quantity (text) , product_price (text) , derived_product_cost (text) , derived_vat_payable (text) , derived_total_cost (text);</schema>"
<primary_keys>[Primary Keys]: customers : customer_id, orders : order_id, invoices : invoice_number, accounts : account_id, product_categories : production_type_code, products : product_id, financial_transactions : order_item_id</primary_keys>"
<foreign_keys>[Foreign Keys]: orders : customer_id = customers : customer_id | invoices : order_id = orders : order_id | accounts : customer_id = customers : customer_id | products : production_type_code = product_categories : production_type_code | financial_transactions : account_id = accounts : account_id | financial_transactions : invoice_number = invoices : invoice_number | order_items : order_id = orders : order_id | order_items : product_id = products : product_id | invoice_line_items : product_id = products : product_id | invoice_line_items : invoice_number = invoices : invoice_number | invoice_line_items : order_item_id = order_items : order_item_id</foreign_keys>"
Answer the following question with a SQL Statement:<question>What are the full names of customers with the account name 900?</question>
[SQL]:
| <SQL_QUERY>SELECT T2.customer_first_name , T2.customer_last_name FROM Accounts AS T1 JOIN Customers AS T2 ON T1.customer_id = T2.customer_id WHERE T1.account_name = "900"</SQL_QUERY> | customers_and_invoices | SELECT T2.customer_first_name , T2.customer_last_name FROM Accounts AS T1 JOIN Customers AS T2 ON T1.customer_id = T2.customer_id WHERE T1.account_name = "900" | What are the full names of customers with the account name 900? | [Schema (values) (types)]: | customers_and_invoices | Customers : customer_id (text) , customer_first_name (number) , customer_middle_initial (text) , customer_last_name (text) , gender (text) , email_address (text) , login_name (text) , login_password (text) , phone_number (text) , town_city (text) , state_county_province (text) , country (text) | Orders : order_id (text) , customer_id (number) , date_order_placed (text) , order_details (text) | Invoices : invoice_number (text) , order_id (number) , invoice_date (text) | Accounts : account_id (text) , customer_id (number) , date_account_opened (text) , account_name (text) , other_account_details (text) | Product_Categories : production_type_code (text) , product_type_description (number) , vat_rating (text) | Products : product_id (text) , parent_product_id (number) , production_type_code (text) , unit_price (text) , product_name (text) , product_color (text) , product_size (text) | Financial_Transactions : transaction_id (text) , account_id (number) , invoice_number (text) , transaction_type (text) , transaction_date (text) , transaction_amount (text) , transaction_comment (text) , other_transaction_details (text) | Order_Items : order_item_id (text) , order_id (number) , product_id (text) , product_quantity (text) , other_order_item_details (text) | Invoice_Line_Items : order_item_id (text) , invoice_number (number) , product_id (text) , product_title (text) , product_quantity (text) , product_price (text) , derived_product_cost (text) , derived_vat_payable (text) , derived_total_cost (text); | [Primary Keys]: customers : customer_id, orders : order_id, invoices : invoice_number, accounts : account_id, product_categories : production_type_code, products : product_id, financial_transactions : order_item_id | [Foreign Keys]: orders : customer_id = customers : customer_id | invoices : order_id = orders : order_id | accounts : customer_id = customers : customer_id | products : production_type_code = product_categories : production_type_code | financial_transactions : account_id = accounts : account_id | financial_transactions : invoice_number = invoices : invoice_number | order_items : order_id = orders : order_id | order_items : product_id = products : product_id | invoice_line_items : product_id = products : product_id | invoice_line_items : invoice_number = invoices : invoice_number | invoice_line_items : order_item_id = order_items : order_item_id |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | customers_and_invoices | Customers : customer_id (text) , customer_first_name (number) , customer_middle_initial (text) , customer_last_name (text) , gender (text) , email_address (text) , login_name (text) , login_password (text) , phone_number (text) , town_city (text) , state_county_province (text) , country (text) | Orders : order_id (text) , customer_id (number) , date_order_placed (text) , order_details (text) | Invoices : invoice_number (text) , order_id (number) , invoice_date (text) | Accounts : account_id (text) , customer_id (number) , date_account_opened (text) , account_name (text) , other_account_details (text) | Product_Categories : production_type_code (text) , product_type_description (number) , vat_rating (text) | Products : product_id (text) , parent_product_id (number) , production_type_code (text) , unit_price (text) , product_name (text) , product_color (text) , product_size (text) | Financial_Transactions : transaction_id (text) , account_id (number) , invoice_number (text) , transaction_type (text) , transaction_date (text) , transaction_amount (text) , transaction_comment (text) , other_transaction_details (text) | Order_Items : order_item_id (text) , order_id (number) , product_id (text) , product_quantity (text) , other_order_item_details (text) | Invoice_Line_Items : order_item_id (text) , invoice_number (number) , product_id (text) , product_title (text) , product_quantity (text) , product_price (text) , derived_product_cost (text) , derived_vat_payable (text) , derived_total_cost (text);</schema>"
<primary_keys>[Primary Keys]: customers : customer_id, orders : order_id, invoices : invoice_number, accounts : account_id, product_categories : production_type_code, products : product_id, financial_transactions : order_item_id</primary_keys>"
<foreign_keys>[Foreign Keys]: orders : customer_id = customers : customer_id | invoices : order_id = orders : order_id | accounts : customer_id = customers : customer_id | products : production_type_code = product_categories : production_type_code | financial_transactions : account_id = accounts : account_id | financial_transactions : invoice_number = invoices : invoice_number | order_items : order_id = orders : order_id | order_items : product_id = products : product_id | invoice_line_items : product_id = products : product_id | invoice_line_items : invoice_number = invoices : invoice_number | invoice_line_items : order_item_id = order_items : order_item_id</foreign_keys>"
Answer the following question with a SQL Statement:<question>How many customers don't have an account?</question>
[SQL]:
| <SQL_QUERY>SELECT count(*) FROM Customers WHERE customer_id NOT IN (SELECT customer_id FROM Accounts)</SQL_QUERY> | customers_and_invoices | SELECT count(*) FROM Customers WHERE customer_id NOT IN (SELECT customer_id FROM Accounts) | How many customers don't have an account? | [Schema (values) (types)]: | customers_and_invoices | Customers : customer_id (text) , customer_first_name (number) , customer_middle_initial (text) , customer_last_name (text) , gender (text) , email_address (text) , login_name (text) , login_password (text) , phone_number (text) , town_city (text) , state_county_province (text) , country (text) | Orders : order_id (text) , customer_id (number) , date_order_placed (text) , order_details (text) | Invoices : invoice_number (text) , order_id (number) , invoice_date (text) | Accounts : account_id (text) , customer_id (number) , date_account_opened (text) , account_name (text) , other_account_details (text) | Product_Categories : production_type_code (text) , product_type_description (number) , vat_rating (text) | Products : product_id (text) , parent_product_id (number) , production_type_code (text) , unit_price (text) , product_name (text) , product_color (text) , product_size (text) | Financial_Transactions : transaction_id (text) , account_id (number) , invoice_number (text) , transaction_type (text) , transaction_date (text) , transaction_amount (text) , transaction_comment (text) , other_transaction_details (text) | Order_Items : order_item_id (text) , order_id (number) , product_id (text) , product_quantity (text) , other_order_item_details (text) | Invoice_Line_Items : order_item_id (text) , invoice_number (number) , product_id (text) , product_title (text) , product_quantity (text) , product_price (text) , derived_product_cost (text) , derived_vat_payable (text) , derived_total_cost (text); | [Primary Keys]: customers : customer_id, orders : order_id, invoices : invoice_number, accounts : account_id, product_categories : production_type_code, products : product_id, financial_transactions : order_item_id | [Foreign Keys]: orders : customer_id = customers : customer_id | invoices : order_id = orders : order_id | accounts : customer_id = customers : customer_id | products : production_type_code = product_categories : production_type_code | financial_transactions : account_id = accounts : account_id | financial_transactions : invoice_number = invoices : invoice_number | order_items : order_id = orders : order_id | order_items : product_id = products : product_id | invoice_line_items : product_id = products : product_id | invoice_line_items : invoice_number = invoices : invoice_number | invoice_line_items : order_item_id = order_items : order_item_id |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | customers_and_invoices | Customers : customer_id (text) , customer_first_name (number) , customer_middle_initial (text) , customer_last_name (text) , gender (text) , email_address (text) , login_name (text) , login_password (text) , phone_number (text) , town_city (text) , state_county_province (text) , country (text) | Orders : order_id (text) , customer_id (number) , date_order_placed (text) , order_details (text) | Invoices : invoice_number (text) , order_id (number) , invoice_date (text) | Accounts : account_id (text) , customer_id (number) , date_account_opened (text) , account_name (text) , other_account_details (text) | Product_Categories : production_type_code (text) , product_type_description (number) , vat_rating (text) | Products : product_id (text) , parent_product_id (number) , production_type_code (text) , unit_price (text) , product_name (text) , product_color (text) , product_size (text) | Financial_Transactions : transaction_id (text) , account_id (number) , invoice_number (text) , transaction_type (text) , transaction_date (text) , transaction_amount (text) , transaction_comment (text) , other_transaction_details (text) | Order_Items : order_item_id (text) , order_id (number) , product_id (text) , product_quantity (text) , other_order_item_details (text) | Invoice_Line_Items : order_item_id (text) , invoice_number (number) , product_id (text) , product_title (text) , product_quantity (text) , product_price (text) , derived_product_cost (text) , derived_vat_payable (text) , derived_total_cost (text);</schema>"
<primary_keys>[Primary Keys]: customers : customer_id, orders : order_id, invoices : invoice_number, accounts : account_id, product_categories : production_type_code, products : product_id, financial_transactions : order_item_id</primary_keys>"
<foreign_keys>[Foreign Keys]: orders : customer_id = customers : customer_id | invoices : order_id = orders : order_id | accounts : customer_id = customers : customer_id | products : production_type_code = product_categories : production_type_code | financial_transactions : account_id = accounts : account_id | financial_transactions : invoice_number = invoices : invoice_number | order_items : order_id = orders : order_id | order_items : product_id = products : product_id | invoice_line_items : product_id = products : product_id | invoice_line_items : invoice_number = invoices : invoice_number | invoice_line_items : order_item_id = order_items : order_item_id</foreign_keys>"
Answer the following question with a SQL Statement:<question>Count the number of customers who do not have an account.</question>
[SQL]:
| <SQL_QUERY>SELECT count(*) FROM Customers WHERE customer_id NOT IN (SELECT customer_id FROM Accounts)</SQL_QUERY> | customers_and_invoices | SELECT count(*) FROM Customers WHERE customer_id NOT IN (SELECT customer_id FROM Accounts) | Count the number of customers who do not have an account. | [Schema (values) (types)]: | customers_and_invoices | Customers : customer_id (text) , customer_first_name (number) , customer_middle_initial (text) , customer_last_name (text) , gender (text) , email_address (text) , login_name (text) , login_password (text) , phone_number (text) , town_city (text) , state_county_province (text) , country (text) | Orders : order_id (text) , customer_id (number) , date_order_placed (text) , order_details (text) | Invoices : invoice_number (text) , order_id (number) , invoice_date (text) | Accounts : account_id (text) , customer_id (number) , date_account_opened (text) , account_name (text) , other_account_details (text) | Product_Categories : production_type_code (text) , product_type_description (number) , vat_rating (text) | Products : product_id (text) , parent_product_id (number) , production_type_code (text) , unit_price (text) , product_name (text) , product_color (text) , product_size (text) | Financial_Transactions : transaction_id (text) , account_id (number) , invoice_number (text) , transaction_type (text) , transaction_date (text) , transaction_amount (text) , transaction_comment (text) , other_transaction_details (text) | Order_Items : order_item_id (text) , order_id (number) , product_id (text) , product_quantity (text) , other_order_item_details (text) | Invoice_Line_Items : order_item_id (text) , invoice_number (number) , product_id (text) , product_title (text) , product_quantity (text) , product_price (text) , derived_product_cost (text) , derived_vat_payable (text) , derived_total_cost (text); | [Primary Keys]: customers : customer_id, orders : order_id, invoices : invoice_number, accounts : account_id, product_categories : production_type_code, products : product_id, financial_transactions : order_item_id | [Foreign Keys]: orders : customer_id = customers : customer_id | invoices : order_id = orders : order_id | accounts : customer_id = customers : customer_id | products : production_type_code = product_categories : production_type_code | financial_transactions : account_id = accounts : account_id | financial_transactions : invoice_number = invoices : invoice_number | order_items : order_id = orders : order_id | order_items : product_id = products : product_id | invoice_line_items : product_id = products : product_id | invoice_line_items : invoice_number = invoices : invoice_number | invoice_line_items : order_item_id = order_items : order_item_id |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | customers_and_invoices | Customers : customer_id (text) , customer_first_name (number) , customer_middle_initial (text) , customer_last_name (text) , gender (text) , email_address (text) , login_name (text) , login_password (text) , phone_number (text) , town_city (text) , state_county_province (text) , country (text) | Orders : order_id (text) , customer_id (number) , date_order_placed (text) , order_details (text) | Invoices : invoice_number (text) , order_id (number) , invoice_date (text) | Accounts : account_id (text) , customer_id (number) , date_account_opened (text) , account_name (text) , other_account_details (text) | Product_Categories : production_type_code (text) , product_type_description (number) , vat_rating (text) | Products : product_id (text) , parent_product_id (number) , production_type_code (text) , unit_price (text) , product_name (text) , product_color (text) , product_size (text) | Financial_Transactions : transaction_id (text) , account_id (number) , invoice_number (text) , transaction_type (text) , transaction_date (text) , transaction_amount (text) , transaction_comment (text) , other_transaction_details (text) | Order_Items : order_item_id (text) , order_id (number) , product_id (text) , product_quantity (text) , other_order_item_details (text) | Invoice_Line_Items : order_item_id (text) , invoice_number (number) , product_id (text) , product_title (text) , product_quantity (text) , product_price (text) , derived_product_cost (text) , derived_vat_payable (text) , derived_total_cost (text);</schema>"
<primary_keys>[Primary Keys]: customers : customer_id, orders : order_id, invoices : invoice_number, accounts : account_id, product_categories : production_type_code, products : product_id, financial_transactions : order_item_id</primary_keys>"
<foreign_keys>[Foreign Keys]: orders : customer_id = customers : customer_id | invoices : order_id = orders : order_id | accounts : customer_id = customers : customer_id | products : production_type_code = product_categories : production_type_code | financial_transactions : account_id = accounts : account_id | financial_transactions : invoice_number = invoices : invoice_number | order_items : order_id = orders : order_id | order_items : product_id = products : product_id | invoice_line_items : product_id = products : product_id | invoice_line_items : invoice_number = invoices : invoice_number | invoice_line_items : order_item_id = order_items : order_item_id</foreign_keys>"
Answer the following question with a SQL Statement:<question>Show the unique first names, last names, and phone numbers for all customers with any account.</question>
[SQL]:
| <SQL_QUERY>SELECT DISTINCT T1.customer_first_name , T1.customer_last_name , T1.phone_number FROM Customers AS T1 JOIN Accounts AS T2 ON T1.customer_id = T2.customer_id</SQL_QUERY> | customers_and_invoices | SELECT DISTINCT T1.customer_first_name , T1.customer_last_name , T1.phone_number FROM Customers AS T1 JOIN Accounts AS T2 ON T1.customer_id = T2.customer_id | Show the unique first names, last names, and phone numbers for all customers with any account. | [Schema (values) (types)]: | customers_and_invoices | Customers : customer_id (text) , customer_first_name (number) , customer_middle_initial (text) , customer_last_name (text) , gender (text) , email_address (text) , login_name (text) , login_password (text) , phone_number (text) , town_city (text) , state_county_province (text) , country (text) | Orders : order_id (text) , customer_id (number) , date_order_placed (text) , order_details (text) | Invoices : invoice_number (text) , order_id (number) , invoice_date (text) | Accounts : account_id (text) , customer_id (number) , date_account_opened (text) , account_name (text) , other_account_details (text) | Product_Categories : production_type_code (text) , product_type_description (number) , vat_rating (text) | Products : product_id (text) , parent_product_id (number) , production_type_code (text) , unit_price (text) , product_name (text) , product_color (text) , product_size (text) | Financial_Transactions : transaction_id (text) , account_id (number) , invoice_number (text) , transaction_type (text) , transaction_date (text) , transaction_amount (text) , transaction_comment (text) , other_transaction_details (text) | Order_Items : order_item_id (text) , order_id (number) , product_id (text) , product_quantity (text) , other_order_item_details (text) | Invoice_Line_Items : order_item_id (text) , invoice_number (number) , product_id (text) , product_title (text) , product_quantity (text) , product_price (text) , derived_product_cost (text) , derived_vat_payable (text) , derived_total_cost (text); | [Primary Keys]: customers : customer_id, orders : order_id, invoices : invoice_number, accounts : account_id, product_categories : production_type_code, products : product_id, financial_transactions : order_item_id | [Foreign Keys]: orders : customer_id = customers : customer_id | invoices : order_id = orders : order_id | accounts : customer_id = customers : customer_id | products : production_type_code = product_categories : production_type_code | financial_transactions : account_id = accounts : account_id | financial_transactions : invoice_number = invoices : invoice_number | order_items : order_id = orders : order_id | order_items : product_id = products : product_id | invoice_line_items : product_id = products : product_id | invoice_line_items : invoice_number = invoices : invoice_number | invoice_line_items : order_item_id = order_items : order_item_id |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | customers_and_invoices | Customers : customer_id (text) , customer_first_name (number) , customer_middle_initial (text) , customer_last_name (text) , gender (text) , email_address (text) , login_name (text) , login_password (text) , phone_number (text) , town_city (text) , state_county_province (text) , country (text) | Orders : order_id (text) , customer_id (number) , date_order_placed (text) , order_details (text) | Invoices : invoice_number (text) , order_id (number) , invoice_date (text) | Accounts : account_id (text) , customer_id (number) , date_account_opened (text) , account_name (text) , other_account_details (text) | Product_Categories : production_type_code (text) , product_type_description (number) , vat_rating (text) | Products : product_id (text) , parent_product_id (number) , production_type_code (text) , unit_price (text) , product_name (text) , product_color (text) , product_size (text) | Financial_Transactions : transaction_id (text) , account_id (number) , invoice_number (text) , transaction_type (text) , transaction_date (text) , transaction_amount (text) , transaction_comment (text) , other_transaction_details (text) | Order_Items : order_item_id (text) , order_id (number) , product_id (text) , product_quantity (text) , other_order_item_details (text) | Invoice_Line_Items : order_item_id (text) , invoice_number (number) , product_id (text) , product_title (text) , product_quantity (text) , product_price (text) , derived_product_cost (text) , derived_vat_payable (text) , derived_total_cost (text);</schema>"
<primary_keys>[Primary Keys]: customers : customer_id, orders : order_id, invoices : invoice_number, accounts : account_id, product_categories : production_type_code, products : product_id, financial_transactions : order_item_id</primary_keys>"
<foreign_keys>[Foreign Keys]: orders : customer_id = customers : customer_id | invoices : order_id = orders : order_id | accounts : customer_id = customers : customer_id | products : production_type_code = product_categories : production_type_code | financial_transactions : account_id = accounts : account_id | financial_transactions : invoice_number = invoices : invoice_number | order_items : order_id = orders : order_id | order_items : product_id = products : product_id | invoice_line_items : product_id = products : product_id | invoice_line_items : invoice_number = invoices : invoice_number | invoice_line_items : order_item_id = order_items : order_item_id</foreign_keys>"
Answer the following question with a SQL Statement:<question>What are the distinct first names, last names, and phone numbers for customers with accounts?</question>
[SQL]:
| <SQL_QUERY>SELECT DISTINCT T1.customer_first_name , T1.customer_last_name , T1.phone_number FROM Customers AS T1 JOIN Accounts AS T2 ON T1.customer_id = T2.customer_id</SQL_QUERY> | customers_and_invoices | SELECT DISTINCT T1.customer_first_name , T1.customer_last_name , T1.phone_number FROM Customers AS T1 JOIN Accounts AS T2 ON T1.customer_id = T2.customer_id | What are the distinct first names, last names, and phone numbers for customers with accounts? | [Schema (values) (types)]: | customers_and_invoices | Customers : customer_id (text) , customer_first_name (number) , customer_middle_initial (text) , customer_last_name (text) , gender (text) , email_address (text) , login_name (text) , login_password (text) , phone_number (text) , town_city (text) , state_county_province (text) , country (text) | Orders : order_id (text) , customer_id (number) , date_order_placed (text) , order_details (text) | Invoices : invoice_number (text) , order_id (number) , invoice_date (text) | Accounts : account_id (text) , customer_id (number) , date_account_opened (text) , account_name (text) , other_account_details (text) | Product_Categories : production_type_code (text) , product_type_description (number) , vat_rating (text) | Products : product_id (text) , parent_product_id (number) , production_type_code (text) , unit_price (text) , product_name (text) , product_color (text) , product_size (text) | Financial_Transactions : transaction_id (text) , account_id (number) , invoice_number (text) , transaction_type (text) , transaction_date (text) , transaction_amount (text) , transaction_comment (text) , other_transaction_details (text) | Order_Items : order_item_id (text) , order_id (number) , product_id (text) , product_quantity (text) , other_order_item_details (text) | Invoice_Line_Items : order_item_id (text) , invoice_number (number) , product_id (text) , product_title (text) , product_quantity (text) , product_price (text) , derived_product_cost (text) , derived_vat_payable (text) , derived_total_cost (text); | [Primary Keys]: customers : customer_id, orders : order_id, invoices : invoice_number, accounts : account_id, product_categories : production_type_code, products : product_id, financial_transactions : order_item_id | [Foreign Keys]: orders : customer_id = customers : customer_id | invoices : order_id = orders : order_id | accounts : customer_id = customers : customer_id | products : production_type_code = product_categories : production_type_code | financial_transactions : account_id = accounts : account_id | financial_transactions : invoice_number = invoices : invoice_number | order_items : order_id = orders : order_id | order_items : product_id = products : product_id | invoice_line_items : product_id = products : product_id | invoice_line_items : invoice_number = invoices : invoice_number | invoice_line_items : order_item_id = order_items : order_item_id |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | customers_and_invoices | Customers : customer_id (text) , customer_first_name (number) , customer_middle_initial (text) , customer_last_name (text) , gender (text) , email_address (text) , login_name (text) , login_password (text) , phone_number (text) , town_city (text) , state_county_province (text) , country (text) | Orders : order_id (text) , customer_id (number) , date_order_placed (text) , order_details (text) | Invoices : invoice_number (text) , order_id (number) , invoice_date (text) | Accounts : account_id (text) , customer_id (number) , date_account_opened (text) , account_name (text) , other_account_details (text) | Product_Categories : production_type_code (text) , product_type_description (number) , vat_rating (text) | Products : product_id (text) , parent_product_id (number) , production_type_code (text) , unit_price (text) , product_name (text) , product_color (text) , product_size (text) | Financial_Transactions : transaction_id (text) , account_id (number) , invoice_number (text) , transaction_type (text) , transaction_date (text) , transaction_amount (text) , transaction_comment (text) , other_transaction_details (text) | Order_Items : order_item_id (text) , order_id (number) , product_id (text) , product_quantity (text) , other_order_item_details (text) | Invoice_Line_Items : order_item_id (text) , invoice_number (number) , product_id (text) , product_title (text) , product_quantity (text) , product_price (text) , derived_product_cost (text) , derived_vat_payable (text) , derived_total_cost (text);</schema>"
<primary_keys>[Primary Keys]: customers : customer_id, orders : order_id, invoices : invoice_number, accounts : account_id, product_categories : production_type_code, products : product_id, financial_transactions : order_item_id</primary_keys>"
<foreign_keys>[Foreign Keys]: orders : customer_id = customers : customer_id | invoices : order_id = orders : order_id | accounts : customer_id = customers : customer_id | products : production_type_code = product_categories : production_type_code | financial_transactions : account_id = accounts : account_id | financial_transactions : invoice_number = invoices : invoice_number | order_items : order_id = orders : order_id | order_items : product_id = products : product_id | invoice_line_items : product_id = products : product_id | invoice_line_items : invoice_number = invoices : invoice_number | invoice_line_items : order_item_id = order_items : order_item_id</foreign_keys>"
Answer the following question with a SQL Statement:<question>Show customer ids who don't have an account.</question>
[SQL]:
| <SQL_QUERY>SELECT customer_id FROM Customers EXCEPT SELECT customer_id FROM Accounts</SQL_QUERY> | customers_and_invoices | SELECT customer_id FROM Customers EXCEPT SELECT customer_id FROM Accounts | Show customer ids who don't have an account. | [Schema (values) (types)]: | customers_and_invoices | Customers : customer_id (text) , customer_first_name (number) , customer_middle_initial (text) , customer_last_name (text) , gender (text) , email_address (text) , login_name (text) , login_password (text) , phone_number (text) , town_city (text) , state_county_province (text) , country (text) | Orders : order_id (text) , customer_id (number) , date_order_placed (text) , order_details (text) | Invoices : invoice_number (text) , order_id (number) , invoice_date (text) | Accounts : account_id (text) , customer_id (number) , date_account_opened (text) , account_name (text) , other_account_details (text) | Product_Categories : production_type_code (text) , product_type_description (number) , vat_rating (text) | Products : product_id (text) , parent_product_id (number) , production_type_code (text) , unit_price (text) , product_name (text) , product_color (text) , product_size (text) | Financial_Transactions : transaction_id (text) , account_id (number) , invoice_number (text) , transaction_type (text) , transaction_date (text) , transaction_amount (text) , transaction_comment (text) , other_transaction_details (text) | Order_Items : order_item_id (text) , order_id (number) , product_id (text) , product_quantity (text) , other_order_item_details (text) | Invoice_Line_Items : order_item_id (text) , invoice_number (number) , product_id (text) , product_title (text) , product_quantity (text) , product_price (text) , derived_product_cost (text) , derived_vat_payable (text) , derived_total_cost (text); | [Primary Keys]: customers : customer_id, orders : order_id, invoices : invoice_number, accounts : account_id, product_categories : production_type_code, products : product_id, financial_transactions : order_item_id | [Foreign Keys]: orders : customer_id = customers : customer_id | invoices : order_id = orders : order_id | accounts : customer_id = customers : customer_id | products : production_type_code = product_categories : production_type_code | financial_transactions : account_id = accounts : account_id | financial_transactions : invoice_number = invoices : invoice_number | order_items : order_id = orders : order_id | order_items : product_id = products : product_id | invoice_line_items : product_id = products : product_id | invoice_line_items : invoice_number = invoices : invoice_number | invoice_line_items : order_item_id = order_items : order_item_id |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | customers_and_invoices | Customers : customer_id (text) , customer_first_name (number) , customer_middle_initial (text) , customer_last_name (text) , gender (text) , email_address (text) , login_name (text) , login_password (text) , phone_number (text) , town_city (text) , state_county_province (text) , country (text) | Orders : order_id (text) , customer_id (number) , date_order_placed (text) , order_details (text) | Invoices : invoice_number (text) , order_id (number) , invoice_date (text) | Accounts : account_id (text) , customer_id (number) , date_account_opened (text) , account_name (text) , other_account_details (text) | Product_Categories : production_type_code (text) , product_type_description (number) , vat_rating (text) | Products : product_id (text) , parent_product_id (number) , production_type_code (text) , unit_price (text) , product_name (text) , product_color (text) , product_size (text) | Financial_Transactions : transaction_id (text) , account_id (number) , invoice_number (text) , transaction_type (text) , transaction_date (text) , transaction_amount (text) , transaction_comment (text) , other_transaction_details (text) | Order_Items : order_item_id (text) , order_id (number) , product_id (text) , product_quantity (text) , other_order_item_details (text) | Invoice_Line_Items : order_item_id (text) , invoice_number (number) , product_id (text) , product_title (text) , product_quantity (text) , product_price (text) , derived_product_cost (text) , derived_vat_payable (text) , derived_total_cost (text);</schema>"
<primary_keys>[Primary Keys]: customers : customer_id, orders : order_id, invoices : invoice_number, accounts : account_id, product_categories : production_type_code, products : product_id, financial_transactions : order_item_id</primary_keys>"
<foreign_keys>[Foreign Keys]: orders : customer_id = customers : customer_id | invoices : order_id = orders : order_id | accounts : customer_id = customers : customer_id | products : production_type_code = product_categories : production_type_code | financial_transactions : account_id = accounts : account_id | financial_transactions : invoice_number = invoices : invoice_number | order_items : order_id = orders : order_id | order_items : product_id = products : product_id | invoice_line_items : product_id = products : product_id | invoice_line_items : invoice_number = invoices : invoice_number | invoice_line_items : order_item_id = order_items : order_item_id</foreign_keys>"
Answer the following question with a SQL Statement:<question>What are the customer ids for customers who do not have an account?</question>
[SQL]:
| <SQL_QUERY>SELECT customer_id FROM Customers EXCEPT SELECT customer_id FROM Accounts</SQL_QUERY> | customers_and_invoices | SELECT customer_id FROM Customers EXCEPT SELECT customer_id FROM Accounts | What are the customer ids for customers who do not have an account? | [Schema (values) (types)]: | customers_and_invoices | Customers : customer_id (text) , customer_first_name (number) , customer_middle_initial (text) , customer_last_name (text) , gender (text) , email_address (text) , login_name (text) , login_password (text) , phone_number (text) , town_city (text) , state_county_province (text) , country (text) | Orders : order_id (text) , customer_id (number) , date_order_placed (text) , order_details (text) | Invoices : invoice_number (text) , order_id (number) , invoice_date (text) | Accounts : account_id (text) , customer_id (number) , date_account_opened (text) , account_name (text) , other_account_details (text) | Product_Categories : production_type_code (text) , product_type_description (number) , vat_rating (text) | Products : product_id (text) , parent_product_id (number) , production_type_code (text) , unit_price (text) , product_name (text) , product_color (text) , product_size (text) | Financial_Transactions : transaction_id (text) , account_id (number) , invoice_number (text) , transaction_type (text) , transaction_date (text) , transaction_amount (text) , transaction_comment (text) , other_transaction_details (text) | Order_Items : order_item_id (text) , order_id (number) , product_id (text) , product_quantity (text) , other_order_item_details (text) | Invoice_Line_Items : order_item_id (text) , invoice_number (number) , product_id (text) , product_title (text) , product_quantity (text) , product_price (text) , derived_product_cost (text) , derived_vat_payable (text) , derived_total_cost (text); | [Primary Keys]: customers : customer_id, orders : order_id, invoices : invoice_number, accounts : account_id, product_categories : production_type_code, products : product_id, financial_transactions : order_item_id | [Foreign Keys]: orders : customer_id = customers : customer_id | invoices : order_id = orders : order_id | accounts : customer_id = customers : customer_id | products : production_type_code = product_categories : production_type_code | financial_transactions : account_id = accounts : account_id | financial_transactions : invoice_number = invoices : invoice_number | order_items : order_id = orders : order_id | order_items : product_id = products : product_id | invoice_line_items : product_id = products : product_id | invoice_line_items : invoice_number = invoices : invoice_number | invoice_line_items : order_item_id = order_items : order_item_id |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | customers_and_invoices | Customers : customer_id (text) , customer_first_name (number) , customer_middle_initial (text) , customer_last_name (text) , gender (text) , email_address (text) , login_name (text) , login_password (text) , phone_number (text) , town_city (text) , state_county_province (text) , country (text) | Orders : order_id (text) , customer_id (number) , date_order_placed (text) , order_details (text) | Invoices : invoice_number (text) , order_id (number) , invoice_date (text) | Accounts : account_id (text) , customer_id (number) , date_account_opened (text) , account_name (text) , other_account_details (text) | Product_Categories : production_type_code (text) , product_type_description (number) , vat_rating (text) | Products : product_id (text) , parent_product_id (number) , production_type_code (text) , unit_price (text) , product_name (text) , product_color (text) , product_size (text) | Financial_Transactions : transaction_id (text) , account_id (number) , invoice_number (text) , transaction_type (text) , transaction_date (text) , transaction_amount (text) , transaction_comment (text) , other_transaction_details (text) | Order_Items : order_item_id (text) , order_id (number) , product_id (text) , product_quantity (text) , other_order_item_details (text) | Invoice_Line_Items : order_item_id (text) , invoice_number (number) , product_id (text) , product_title (text) , product_quantity (text) , product_price (text) , derived_product_cost (text) , derived_vat_payable (text) , derived_total_cost (text);</schema>"
<primary_keys>[Primary Keys]: customers : customer_id, orders : order_id, invoices : invoice_number, accounts : account_id, product_categories : production_type_code, products : product_id, financial_transactions : order_item_id</primary_keys>"
<foreign_keys>[Foreign Keys]: orders : customer_id = customers : customer_id | invoices : order_id = orders : order_id | accounts : customer_id = customers : customer_id | products : production_type_code = product_categories : production_type_code | financial_transactions : account_id = accounts : account_id | financial_transactions : invoice_number = invoices : invoice_number | order_items : order_id = orders : order_id | order_items : product_id = products : product_id | invoice_line_items : product_id = products : product_id | invoice_line_items : invoice_number = invoices : invoice_number | invoice_line_items : order_item_id = order_items : order_item_id</foreign_keys>"
Answer the following question with a SQL Statement:<question>How many accounts does each customer have? List the number and customer id.</question>
[SQL]:
| <SQL_QUERY>SELECT count(*) , customer_id FROM Accounts GROUP BY customer_id</SQL_QUERY> | customers_and_invoices | SELECT count(*) , customer_id FROM Accounts GROUP BY customer_id | How many accounts does each customer have? List the number and customer id. | [Schema (values) (types)]: | customers_and_invoices | Customers : customer_id (text) , customer_first_name (number) , customer_middle_initial (text) , customer_last_name (text) , gender (text) , email_address (text) , login_name (text) , login_password (text) , phone_number (text) , town_city (text) , state_county_province (text) , country (text) | Orders : order_id (text) , customer_id (number) , date_order_placed (text) , order_details (text) | Invoices : invoice_number (text) , order_id (number) , invoice_date (text) | Accounts : account_id (text) , customer_id (number) , date_account_opened (text) , account_name (text) , other_account_details (text) | Product_Categories : production_type_code (text) , product_type_description (number) , vat_rating (text) | Products : product_id (text) , parent_product_id (number) , production_type_code (text) , unit_price (text) , product_name (text) , product_color (text) , product_size (text) | Financial_Transactions : transaction_id (text) , account_id (number) , invoice_number (text) , transaction_type (text) , transaction_date (text) , transaction_amount (text) , transaction_comment (text) , other_transaction_details (text) | Order_Items : order_item_id (text) , order_id (number) , product_id (text) , product_quantity (text) , other_order_item_details (text) | Invoice_Line_Items : order_item_id (text) , invoice_number (number) , product_id (text) , product_title (text) , product_quantity (text) , product_price (text) , derived_product_cost (text) , derived_vat_payable (text) , derived_total_cost (text); | [Primary Keys]: customers : customer_id, orders : order_id, invoices : invoice_number, accounts : account_id, product_categories : production_type_code, products : product_id, financial_transactions : order_item_id | [Foreign Keys]: orders : customer_id = customers : customer_id | invoices : order_id = orders : order_id | accounts : customer_id = customers : customer_id | products : production_type_code = product_categories : production_type_code | financial_transactions : account_id = accounts : account_id | financial_transactions : invoice_number = invoices : invoice_number | order_items : order_id = orders : order_id | order_items : product_id = products : product_id | invoice_line_items : product_id = products : product_id | invoice_line_items : invoice_number = invoices : invoice_number | invoice_line_items : order_item_id = order_items : order_item_id |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | customers_and_invoices | Customers : customer_id (text) , customer_first_name (number) , customer_middle_initial (text) , customer_last_name (text) , gender (text) , email_address (text) , login_name (text) , login_password (text) , phone_number (text) , town_city (text) , state_county_province (text) , country (text) | Orders : order_id (text) , customer_id (number) , date_order_placed (text) , order_details (text) | Invoices : invoice_number (text) , order_id (number) , invoice_date (text) | Accounts : account_id (text) , customer_id (number) , date_account_opened (text) , account_name (text) , other_account_details (text) | Product_Categories : production_type_code (text) , product_type_description (number) , vat_rating (text) | Products : product_id (text) , parent_product_id (number) , production_type_code (text) , unit_price (text) , product_name (text) , product_color (text) , product_size (text) | Financial_Transactions : transaction_id (text) , account_id (number) , invoice_number (text) , transaction_type (text) , transaction_date (text) , transaction_amount (text) , transaction_comment (text) , other_transaction_details (text) | Order_Items : order_item_id (text) , order_id (number) , product_id (text) , product_quantity (text) , other_order_item_details (text) | Invoice_Line_Items : order_item_id (text) , invoice_number (number) , product_id (text) , product_title (text) , product_quantity (text) , product_price (text) , derived_product_cost (text) , derived_vat_payable (text) , derived_total_cost (text);</schema>"
<primary_keys>[Primary Keys]: customers : customer_id, orders : order_id, invoices : invoice_number, accounts : account_id, product_categories : production_type_code, products : product_id, financial_transactions : order_item_id</primary_keys>"
<foreign_keys>[Foreign Keys]: orders : customer_id = customers : customer_id | invoices : order_id = orders : order_id | accounts : customer_id = customers : customer_id | products : production_type_code = product_categories : production_type_code | financial_transactions : account_id = accounts : account_id | financial_transactions : invoice_number = invoices : invoice_number | order_items : order_id = orders : order_id | order_items : product_id = products : product_id | invoice_line_items : product_id = products : product_id | invoice_line_items : invoice_number = invoices : invoice_number | invoice_line_items : order_item_id = order_items : order_item_id</foreign_keys>"
Answer the following question with a SQL Statement:<question>Count the number of accounts corresponding to each customer id.</question>
[SQL]:
| <SQL_QUERY>SELECT count(*) , customer_id FROM Accounts GROUP BY customer_id</SQL_QUERY> | customers_and_invoices | SELECT count(*) , customer_id FROM Accounts GROUP BY customer_id | Count the number of accounts corresponding to each customer id. | [Schema (values) (types)]: | customers_and_invoices | Customers : customer_id (text) , customer_first_name (number) , customer_middle_initial (text) , customer_last_name (text) , gender (text) , email_address (text) , login_name (text) , login_password (text) , phone_number (text) , town_city (text) , state_county_province (text) , country (text) | Orders : order_id (text) , customer_id (number) , date_order_placed (text) , order_details (text) | Invoices : invoice_number (text) , order_id (number) , invoice_date (text) | Accounts : account_id (text) , customer_id (number) , date_account_opened (text) , account_name (text) , other_account_details (text) | Product_Categories : production_type_code (text) , product_type_description (number) , vat_rating (text) | Products : product_id (text) , parent_product_id (number) , production_type_code (text) , unit_price (text) , product_name (text) , product_color (text) , product_size (text) | Financial_Transactions : transaction_id (text) , account_id (number) , invoice_number (text) , transaction_type (text) , transaction_date (text) , transaction_amount (text) , transaction_comment (text) , other_transaction_details (text) | Order_Items : order_item_id (text) , order_id (number) , product_id (text) , product_quantity (text) , other_order_item_details (text) | Invoice_Line_Items : order_item_id (text) , invoice_number (number) , product_id (text) , product_title (text) , product_quantity (text) , product_price (text) , derived_product_cost (text) , derived_vat_payable (text) , derived_total_cost (text); | [Primary Keys]: customers : customer_id, orders : order_id, invoices : invoice_number, accounts : account_id, product_categories : production_type_code, products : product_id, financial_transactions : order_item_id | [Foreign Keys]: orders : customer_id = customers : customer_id | invoices : order_id = orders : order_id | accounts : customer_id = customers : customer_id | products : production_type_code = product_categories : production_type_code | financial_transactions : account_id = accounts : account_id | financial_transactions : invoice_number = invoices : invoice_number | order_items : order_id = orders : order_id | order_items : product_id = products : product_id | invoice_line_items : product_id = products : product_id | invoice_line_items : invoice_number = invoices : invoice_number | invoice_line_items : order_item_id = order_items : order_item_id |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | customers_and_invoices | Customers : customer_id (text) , customer_first_name (number) , customer_middle_initial (text) , customer_last_name (text) , gender (text) , email_address (text) , login_name (text) , login_password (text) , phone_number (text) , town_city (text) , state_county_province (text) , country (text) | Orders : order_id (text) , customer_id (number) , date_order_placed (text) , order_details (text) | Invoices : invoice_number (text) , order_id (number) , invoice_date (text) | Accounts : account_id (text) , customer_id (number) , date_account_opened (text) , account_name (text) , other_account_details (text) | Product_Categories : production_type_code (text) , product_type_description (number) , vat_rating (text) | Products : product_id (text) , parent_product_id (number) , production_type_code (text) , unit_price (text) , product_name (text) , product_color (text) , product_size (text) | Financial_Transactions : transaction_id (text) , account_id (number) , invoice_number (text) , transaction_type (text) , transaction_date (text) , transaction_amount (text) , transaction_comment (text) , other_transaction_details (text) | Order_Items : order_item_id (text) , order_id (number) , product_id (text) , product_quantity (text) , other_order_item_details (text) | Invoice_Line_Items : order_item_id (text) , invoice_number (number) , product_id (text) , product_title (text) , product_quantity (text) , product_price (text) , derived_product_cost (text) , derived_vat_payable (text) , derived_total_cost (text);</schema>"
<primary_keys>[Primary Keys]: customers : customer_id, orders : order_id, invoices : invoice_number, accounts : account_id, product_categories : production_type_code, products : product_id, financial_transactions : order_item_id</primary_keys>"
<foreign_keys>[Foreign Keys]: orders : customer_id = customers : customer_id | invoices : order_id = orders : order_id | accounts : customer_id = customers : customer_id | products : production_type_code = product_categories : production_type_code | financial_transactions : account_id = accounts : account_id | financial_transactions : invoice_number = invoices : invoice_number | order_items : order_id = orders : order_id | order_items : product_id = products : product_id | invoice_line_items : product_id = products : product_id | invoice_line_items : invoice_number = invoices : invoice_number | invoice_line_items : order_item_id = order_items : order_item_id</foreign_keys>"
Answer the following question with a SQL Statement:<question>What is the customer id, first and last name with most number of accounts.</question>
[SQL]:
| <SQL_QUERY>SELECT T1.customer_id , T2.customer_first_name , T2.customer_last_name FROM Accounts AS T1 JOIN Customers AS T2 ON T1.customer_id = T2.customer_id GROUP BY T1.customer_id ORDER BY count(*) DESC LIMIT 1</SQL_QUERY> | customers_and_invoices | SELECT T1.customer_id , T2.customer_first_name , T2.customer_last_name FROM Accounts AS T1 JOIN Customers AS T2 ON T1.customer_id = T2.customer_id GROUP BY T1.customer_id ORDER BY count(*) DESC LIMIT 1 | What is the customer id, first and last name with most number of accounts. | [Schema (values) (types)]: | customers_and_invoices | Customers : customer_id (text) , customer_first_name (number) , customer_middle_initial (text) , customer_last_name (text) , gender (text) , email_address (text) , login_name (text) , login_password (text) , phone_number (text) , town_city (text) , state_county_province (text) , country (text) | Orders : order_id (text) , customer_id (number) , date_order_placed (text) , order_details (text) | Invoices : invoice_number (text) , order_id (number) , invoice_date (text) | Accounts : account_id (text) , customer_id (number) , date_account_opened (text) , account_name (text) , other_account_details (text) | Product_Categories : production_type_code (text) , product_type_description (number) , vat_rating (text) | Products : product_id (text) , parent_product_id (number) , production_type_code (text) , unit_price (text) , product_name (text) , product_color (text) , product_size (text) | Financial_Transactions : transaction_id (text) , account_id (number) , invoice_number (text) , transaction_type (text) , transaction_date (text) , transaction_amount (text) , transaction_comment (text) , other_transaction_details (text) | Order_Items : order_item_id (text) , order_id (number) , product_id (text) , product_quantity (text) , other_order_item_details (text) | Invoice_Line_Items : order_item_id (text) , invoice_number (number) , product_id (text) , product_title (text) , product_quantity (text) , product_price (text) , derived_product_cost (text) , derived_vat_payable (text) , derived_total_cost (text); | [Primary Keys]: customers : customer_id, orders : order_id, invoices : invoice_number, accounts : account_id, product_categories : production_type_code, products : product_id, financial_transactions : order_item_id | [Foreign Keys]: orders : customer_id = customers : customer_id | invoices : order_id = orders : order_id | accounts : customer_id = customers : customer_id | products : production_type_code = product_categories : production_type_code | financial_transactions : account_id = accounts : account_id | financial_transactions : invoice_number = invoices : invoice_number | order_items : order_id = orders : order_id | order_items : product_id = products : product_id | invoice_line_items : product_id = products : product_id | invoice_line_items : invoice_number = invoices : invoice_number | invoice_line_items : order_item_id = order_items : order_item_id |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | customers_and_invoices | Customers : customer_id (text) , customer_first_name (number) , customer_middle_initial (text) , customer_last_name (text) , gender (text) , email_address (text) , login_name (text) , login_password (text) , phone_number (text) , town_city (text) , state_county_province (text) , country (text) | Orders : order_id (text) , customer_id (number) , date_order_placed (text) , order_details (text) | Invoices : invoice_number (text) , order_id (number) , invoice_date (text) | Accounts : account_id (text) , customer_id (number) , date_account_opened (text) , account_name (text) , other_account_details (text) | Product_Categories : production_type_code (text) , product_type_description (number) , vat_rating (text) | Products : product_id (text) , parent_product_id (number) , production_type_code (text) , unit_price (text) , product_name (text) , product_color (text) , product_size (text) | Financial_Transactions : transaction_id (text) , account_id (number) , invoice_number (text) , transaction_type (text) , transaction_date (text) , transaction_amount (text) , transaction_comment (text) , other_transaction_details (text) | Order_Items : order_item_id (text) , order_id (number) , product_id (text) , product_quantity (text) , other_order_item_details (text) | Invoice_Line_Items : order_item_id (text) , invoice_number (number) , product_id (text) , product_title (text) , product_quantity (text) , product_price (text) , derived_product_cost (text) , derived_vat_payable (text) , derived_total_cost (text);</schema>"
<primary_keys>[Primary Keys]: customers : customer_id, orders : order_id, invoices : invoice_number, accounts : account_id, product_categories : production_type_code, products : product_id, financial_transactions : order_item_id</primary_keys>"
<foreign_keys>[Foreign Keys]: orders : customer_id = customers : customer_id | invoices : order_id = orders : order_id | accounts : customer_id = customers : customer_id | products : production_type_code = product_categories : production_type_code | financial_transactions : account_id = accounts : account_id | financial_transactions : invoice_number = invoices : invoice_number | order_items : order_id = orders : order_id | order_items : product_id = products : product_id | invoice_line_items : product_id = products : product_id | invoice_line_items : invoice_number = invoices : invoice_number | invoice_line_items : order_item_id = order_items : order_item_id</foreign_keys>"
Answer the following question with a SQL Statement:<question>Return the id and full name of the customer with the most accounts.</question>
[SQL]:
| <SQL_QUERY>SELECT T1.customer_id , T2.customer_first_name , T2.customer_last_name FROM Accounts AS T1 JOIN Customers AS T2 ON T1.customer_id = T2.customer_id GROUP BY T1.customer_id ORDER BY count(*) DESC LIMIT 1</SQL_QUERY> | customers_and_invoices | SELECT T1.customer_id , T2.customer_first_name , T2.customer_last_name FROM Accounts AS T1 JOIN Customers AS T2 ON T1.customer_id = T2.customer_id GROUP BY T1.customer_id ORDER BY count(*) DESC LIMIT 1 | Return the id and full name of the customer with the most accounts. | [Schema (values) (types)]: | customers_and_invoices | Customers : customer_id (text) , customer_first_name (number) , customer_middle_initial (text) , customer_last_name (text) , gender (text) , email_address (text) , login_name (text) , login_password (text) , phone_number (text) , town_city (text) , state_county_province (text) , country (text) | Orders : order_id (text) , customer_id (number) , date_order_placed (text) , order_details (text) | Invoices : invoice_number (text) , order_id (number) , invoice_date (text) | Accounts : account_id (text) , customer_id (number) , date_account_opened (text) , account_name (text) , other_account_details (text) | Product_Categories : production_type_code (text) , product_type_description (number) , vat_rating (text) | Products : product_id (text) , parent_product_id (number) , production_type_code (text) , unit_price (text) , product_name (text) , product_color (text) , product_size (text) | Financial_Transactions : transaction_id (text) , account_id (number) , invoice_number (text) , transaction_type (text) , transaction_date (text) , transaction_amount (text) , transaction_comment (text) , other_transaction_details (text) | Order_Items : order_item_id (text) , order_id (number) , product_id (text) , product_quantity (text) , other_order_item_details (text) | Invoice_Line_Items : order_item_id (text) , invoice_number (number) , product_id (text) , product_title (text) , product_quantity (text) , product_price (text) , derived_product_cost (text) , derived_vat_payable (text) , derived_total_cost (text); | [Primary Keys]: customers : customer_id, orders : order_id, invoices : invoice_number, accounts : account_id, product_categories : production_type_code, products : product_id, financial_transactions : order_item_id | [Foreign Keys]: orders : customer_id = customers : customer_id | invoices : order_id = orders : order_id | accounts : customer_id = customers : customer_id | products : production_type_code = product_categories : production_type_code | financial_transactions : account_id = accounts : account_id | financial_transactions : invoice_number = invoices : invoice_number | order_items : order_id = orders : order_id | order_items : product_id = products : product_id | invoice_line_items : product_id = products : product_id | invoice_line_items : invoice_number = invoices : invoice_number | invoice_line_items : order_item_id = order_items : order_item_id |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | customers_and_invoices | Customers : customer_id (text) , customer_first_name (number) , customer_middle_initial (text) , customer_last_name (text) , gender (text) , email_address (text) , login_name (text) , login_password (text) , phone_number (text) , town_city (text) , state_county_province (text) , country (text) | Orders : order_id (text) , customer_id (number) , date_order_placed (text) , order_details (text) | Invoices : invoice_number (text) , order_id (number) , invoice_date (text) | Accounts : account_id (text) , customer_id (number) , date_account_opened (text) , account_name (text) , other_account_details (text) | Product_Categories : production_type_code (text) , product_type_description (number) , vat_rating (text) | Products : product_id (text) , parent_product_id (number) , production_type_code (text) , unit_price (text) , product_name (text) , product_color (text) , product_size (text) | Financial_Transactions : transaction_id (text) , account_id (number) , invoice_number (text) , transaction_type (text) , transaction_date (text) , transaction_amount (text) , transaction_comment (text) , other_transaction_details (text) | Order_Items : order_item_id (text) , order_id (number) , product_id (text) , product_quantity (text) , other_order_item_details (text) | Invoice_Line_Items : order_item_id (text) , invoice_number (number) , product_id (text) , product_title (text) , product_quantity (text) , product_price (text) , derived_product_cost (text) , derived_vat_payable (text) , derived_total_cost (text);</schema>"
<primary_keys>[Primary Keys]: customers : customer_id, orders : order_id, invoices : invoice_number, accounts : account_id, product_categories : production_type_code, products : product_id, financial_transactions : order_item_id</primary_keys>"
<foreign_keys>[Foreign Keys]: orders : customer_id = customers : customer_id | invoices : order_id = orders : order_id | accounts : customer_id = customers : customer_id | products : production_type_code = product_categories : production_type_code | financial_transactions : account_id = accounts : account_id | financial_transactions : invoice_number = invoices : invoice_number | order_items : order_id = orders : order_id | order_items : product_id = products : product_id | invoice_line_items : product_id = products : product_id | invoice_line_items : invoice_number = invoices : invoice_number | invoice_line_items : order_item_id = order_items : order_item_id</foreign_keys>"
Answer the following question with a SQL Statement:<question>Show id, first name and last name for all customers and the number of accounts.</question>
[SQL]:
| <SQL_QUERY>SELECT T1.customer_id , T2.customer_first_name , T2.customer_last_name , count(*) FROM Accounts AS T1 JOIN Customers AS T2 ON T1.customer_id = T2.customer_id GROUP BY T1.customer_id</SQL_QUERY> | customers_and_invoices | SELECT T1.customer_id , T2.customer_first_name , T2.customer_last_name , count(*) FROM Accounts AS T1 JOIN Customers AS T2 ON T1.customer_id = T2.customer_id GROUP BY T1.customer_id | Show id, first name and last name for all customers and the number of accounts. | [Schema (values) (types)]: | customers_and_invoices | Customers : customer_id (text) , customer_first_name (number) , customer_middle_initial (text) , customer_last_name (text) , gender (text) , email_address (text) , login_name (text) , login_password (text) , phone_number (text) , town_city (text) , state_county_province (text) , country (text) | Orders : order_id (text) , customer_id (number) , date_order_placed (text) , order_details (text) | Invoices : invoice_number (text) , order_id (number) , invoice_date (text) | Accounts : account_id (text) , customer_id (number) , date_account_opened (text) , account_name (text) , other_account_details (text) | Product_Categories : production_type_code (text) , product_type_description (number) , vat_rating (text) | Products : product_id (text) , parent_product_id (number) , production_type_code (text) , unit_price (text) , product_name (text) , product_color (text) , product_size (text) | Financial_Transactions : transaction_id (text) , account_id (number) , invoice_number (text) , transaction_type (text) , transaction_date (text) , transaction_amount (text) , transaction_comment (text) , other_transaction_details (text) | Order_Items : order_item_id (text) , order_id (number) , product_id (text) , product_quantity (text) , other_order_item_details (text) | Invoice_Line_Items : order_item_id (text) , invoice_number (number) , product_id (text) , product_title (text) , product_quantity (text) , product_price (text) , derived_product_cost (text) , derived_vat_payable (text) , derived_total_cost (text); | [Primary Keys]: customers : customer_id, orders : order_id, invoices : invoice_number, accounts : account_id, product_categories : production_type_code, products : product_id, financial_transactions : order_item_id | [Foreign Keys]: orders : customer_id = customers : customer_id | invoices : order_id = orders : order_id | accounts : customer_id = customers : customer_id | products : production_type_code = product_categories : production_type_code | financial_transactions : account_id = accounts : account_id | financial_transactions : invoice_number = invoices : invoice_number | order_items : order_id = orders : order_id | order_items : product_id = products : product_id | invoice_line_items : product_id = products : product_id | invoice_line_items : invoice_number = invoices : invoice_number | invoice_line_items : order_item_id = order_items : order_item_id |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | customers_and_invoices | Customers : customer_id (text) , customer_first_name (number) , customer_middle_initial (text) , customer_last_name (text) , gender (text) , email_address (text) , login_name (text) , login_password (text) , phone_number (text) , town_city (text) , state_county_province (text) , country (text) | Orders : order_id (text) , customer_id (number) , date_order_placed (text) , order_details (text) | Invoices : invoice_number (text) , order_id (number) , invoice_date (text) | Accounts : account_id (text) , customer_id (number) , date_account_opened (text) , account_name (text) , other_account_details (text) | Product_Categories : production_type_code (text) , product_type_description (number) , vat_rating (text) | Products : product_id (text) , parent_product_id (number) , production_type_code (text) , unit_price (text) , product_name (text) , product_color (text) , product_size (text) | Financial_Transactions : transaction_id (text) , account_id (number) , invoice_number (text) , transaction_type (text) , transaction_date (text) , transaction_amount (text) , transaction_comment (text) , other_transaction_details (text) | Order_Items : order_item_id (text) , order_id (number) , product_id (text) , product_quantity (text) , other_order_item_details (text) | Invoice_Line_Items : order_item_id (text) , invoice_number (number) , product_id (text) , product_title (text) , product_quantity (text) , product_price (text) , derived_product_cost (text) , derived_vat_payable (text) , derived_total_cost (text);</schema>"
<primary_keys>[Primary Keys]: customers : customer_id, orders : order_id, invoices : invoice_number, accounts : account_id, product_categories : production_type_code, products : product_id, financial_transactions : order_item_id</primary_keys>"
<foreign_keys>[Foreign Keys]: orders : customer_id = customers : customer_id | invoices : order_id = orders : order_id | accounts : customer_id = customers : customer_id | products : production_type_code = product_categories : production_type_code | financial_transactions : account_id = accounts : account_id | financial_transactions : invoice_number = invoices : invoice_number | order_items : order_id = orders : order_id | order_items : product_id = products : product_id | invoice_line_items : product_id = products : product_id | invoice_line_items : invoice_number = invoices : invoice_number | invoice_line_items : order_item_id = order_items : order_item_id</foreign_keys>"
Answer the following question with a SQL Statement:<question>What are the the full names and ids for all customers, and how many accounts does each have?</question>
[SQL]:
| <SQL_QUERY>SELECT T1.customer_id , T2.customer_first_name , T2.customer_last_name , count(*) FROM Accounts AS T1 JOIN Customers AS T2 ON T1.customer_id = T2.customer_id GROUP BY T1.customer_id</SQL_QUERY> | customers_and_invoices | SELECT T1.customer_id , T2.customer_first_name , T2.customer_last_name , count(*) FROM Accounts AS T1 JOIN Customers AS T2 ON T1.customer_id = T2.customer_id GROUP BY T1.customer_id | What are the the full names and ids for all customers, and how many accounts does each have? | [Schema (values) (types)]: | customers_and_invoices | Customers : customer_id (text) , customer_first_name (number) , customer_middle_initial (text) , customer_last_name (text) , gender (text) , email_address (text) , login_name (text) , login_password (text) , phone_number (text) , town_city (text) , state_county_province (text) , country (text) | Orders : order_id (text) , customer_id (number) , date_order_placed (text) , order_details (text) | Invoices : invoice_number (text) , order_id (number) , invoice_date (text) | Accounts : account_id (text) , customer_id (number) , date_account_opened (text) , account_name (text) , other_account_details (text) | Product_Categories : production_type_code (text) , product_type_description (number) , vat_rating (text) | Products : product_id (text) , parent_product_id (number) , production_type_code (text) , unit_price (text) , product_name (text) , product_color (text) , product_size (text) | Financial_Transactions : transaction_id (text) , account_id (number) , invoice_number (text) , transaction_type (text) , transaction_date (text) , transaction_amount (text) , transaction_comment (text) , other_transaction_details (text) | Order_Items : order_item_id (text) , order_id (number) , product_id (text) , product_quantity (text) , other_order_item_details (text) | Invoice_Line_Items : order_item_id (text) , invoice_number (number) , product_id (text) , product_title (text) , product_quantity (text) , product_price (text) , derived_product_cost (text) , derived_vat_payable (text) , derived_total_cost (text); | [Primary Keys]: customers : customer_id, orders : order_id, invoices : invoice_number, accounts : account_id, product_categories : production_type_code, products : product_id, financial_transactions : order_item_id | [Foreign Keys]: orders : customer_id = customers : customer_id | invoices : order_id = orders : order_id | accounts : customer_id = customers : customer_id | products : production_type_code = product_categories : production_type_code | financial_transactions : account_id = accounts : account_id | financial_transactions : invoice_number = invoices : invoice_number | order_items : order_id = orders : order_id | order_items : product_id = products : product_id | invoice_line_items : product_id = products : product_id | invoice_line_items : invoice_number = invoices : invoice_number | invoice_line_items : order_item_id = order_items : order_item_id |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | customers_and_invoices | Customers : customer_id (text) , customer_first_name (number) , customer_middle_initial (text) , customer_last_name (text) , gender (text) , email_address (text) , login_name (text) , login_password (text) , phone_number (text) , town_city (text) , state_county_province (text) , country (text) | Orders : order_id (text) , customer_id (number) , date_order_placed (text) , order_details (text) | Invoices : invoice_number (text) , order_id (number) , invoice_date (text) | Accounts : account_id (text) , customer_id (number) , date_account_opened (text) , account_name (text) , other_account_details (text) | Product_Categories : production_type_code (text) , product_type_description (number) , vat_rating (text) | Products : product_id (text) , parent_product_id (number) , production_type_code (text) , unit_price (text) , product_name (text) , product_color (text) , product_size (text) | Financial_Transactions : transaction_id (text) , account_id (number) , invoice_number (text) , transaction_type (text) , transaction_date (text) , transaction_amount (text) , transaction_comment (text) , other_transaction_details (text) | Order_Items : order_item_id (text) , order_id (number) , product_id (text) , product_quantity (text) , other_order_item_details (text) | Invoice_Line_Items : order_item_id (text) , invoice_number (number) , product_id (text) , product_title (text) , product_quantity (text) , product_price (text) , derived_product_cost (text) , derived_vat_payable (text) , derived_total_cost (text);</schema>"
<primary_keys>[Primary Keys]: customers : customer_id, orders : order_id, invoices : invoice_number, accounts : account_id, product_categories : production_type_code, products : product_id, financial_transactions : order_item_id</primary_keys>"
<foreign_keys>[Foreign Keys]: orders : customer_id = customers : customer_id | invoices : order_id = orders : order_id | accounts : customer_id = customers : customer_id | products : production_type_code = product_categories : production_type_code | financial_transactions : account_id = accounts : account_id | financial_transactions : invoice_number = invoices : invoice_number | order_items : order_id = orders : order_id | order_items : product_id = products : product_id | invoice_line_items : product_id = products : product_id | invoice_line_items : invoice_number = invoices : invoice_number | invoice_line_items : order_item_id = order_items : order_item_id</foreign_keys>"
Answer the following question with a SQL Statement:<question>Show first name and id for all customers with at least 2 accounts.</question>
[SQL]:
| <SQL_QUERY>SELECT T2.customer_first_name , T1.customer_id FROM Accounts AS T1 JOIN Customers AS T2 ON T1.customer_id = T2.customer_id GROUP BY T1.customer_id HAVING count(*) >= 2</SQL_QUERY> | customers_and_invoices | SELECT T2.customer_first_name , T1.customer_id FROM Accounts AS T1 JOIN Customers AS T2 ON T1.customer_id = T2.customer_id GROUP BY T1.customer_id HAVING count(*) >= 2 | Show first name and id for all customers with at least 2 accounts. | [Schema (values) (types)]: | customers_and_invoices | Customers : customer_id (text) , customer_first_name (number) , customer_middle_initial (text) , customer_last_name (text) , gender (text) , email_address (text) , login_name (text) , login_password (text) , phone_number (text) , town_city (text) , state_county_province (text) , country (text) | Orders : order_id (text) , customer_id (number) , date_order_placed (text) , order_details (text) | Invoices : invoice_number (text) , order_id (number) , invoice_date (text) | Accounts : account_id (text) , customer_id (number) , date_account_opened (text) , account_name (text) , other_account_details (text) | Product_Categories : production_type_code (text) , product_type_description (number) , vat_rating (text) | Products : product_id (text) , parent_product_id (number) , production_type_code (text) , unit_price (text) , product_name (text) , product_color (text) , product_size (text) | Financial_Transactions : transaction_id (text) , account_id (number) , invoice_number (text) , transaction_type (text) , transaction_date (text) , transaction_amount (text) , transaction_comment (text) , other_transaction_details (text) | Order_Items : order_item_id (text) , order_id (number) , product_id (text) , product_quantity (text) , other_order_item_details (text) | Invoice_Line_Items : order_item_id (text) , invoice_number (number) , product_id (text) , product_title (text) , product_quantity (text) , product_price (text) , derived_product_cost (text) , derived_vat_payable (text) , derived_total_cost (text); | [Primary Keys]: customers : customer_id, orders : order_id, invoices : invoice_number, accounts : account_id, product_categories : production_type_code, products : product_id, financial_transactions : order_item_id | [Foreign Keys]: orders : customer_id = customers : customer_id | invoices : order_id = orders : order_id | accounts : customer_id = customers : customer_id | products : production_type_code = product_categories : production_type_code | financial_transactions : account_id = accounts : account_id | financial_transactions : invoice_number = invoices : invoice_number | order_items : order_id = orders : order_id | order_items : product_id = products : product_id | invoice_line_items : product_id = products : product_id | invoice_line_items : invoice_number = invoices : invoice_number | invoice_line_items : order_item_id = order_items : order_item_id |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | customers_and_invoices | Customers : customer_id (text) , customer_first_name (number) , customer_middle_initial (text) , customer_last_name (text) , gender (text) , email_address (text) , login_name (text) , login_password (text) , phone_number (text) , town_city (text) , state_county_province (text) , country (text) | Orders : order_id (text) , customer_id (number) , date_order_placed (text) , order_details (text) | Invoices : invoice_number (text) , order_id (number) , invoice_date (text) | Accounts : account_id (text) , customer_id (number) , date_account_opened (text) , account_name (text) , other_account_details (text) | Product_Categories : production_type_code (text) , product_type_description (number) , vat_rating (text) | Products : product_id (text) , parent_product_id (number) , production_type_code (text) , unit_price (text) , product_name (text) , product_color (text) , product_size (text) | Financial_Transactions : transaction_id (text) , account_id (number) , invoice_number (text) , transaction_type (text) , transaction_date (text) , transaction_amount (text) , transaction_comment (text) , other_transaction_details (text) | Order_Items : order_item_id (text) , order_id (number) , product_id (text) , product_quantity (text) , other_order_item_details (text) | Invoice_Line_Items : order_item_id (text) , invoice_number (number) , product_id (text) , product_title (text) , product_quantity (text) , product_price (text) , derived_product_cost (text) , derived_vat_payable (text) , derived_total_cost (text);</schema>"
<primary_keys>[Primary Keys]: customers : customer_id, orders : order_id, invoices : invoice_number, accounts : account_id, product_categories : production_type_code, products : product_id, financial_transactions : order_item_id</primary_keys>"
<foreign_keys>[Foreign Keys]: orders : customer_id = customers : customer_id | invoices : order_id = orders : order_id | accounts : customer_id = customers : customer_id | products : production_type_code = product_categories : production_type_code | financial_transactions : account_id = accounts : account_id | financial_transactions : invoice_number = invoices : invoice_number | order_items : order_id = orders : order_id | order_items : product_id = products : product_id | invoice_line_items : product_id = products : product_id | invoice_line_items : invoice_number = invoices : invoice_number | invoice_line_items : order_item_id = order_items : order_item_id</foreign_keys>"
Answer the following question with a SQL Statement:<question>What are the first names and ids for customers who have two or more accounts?</question>
[SQL]:
| <SQL_QUERY>SELECT T2.customer_first_name , T1.customer_id FROM Accounts AS T1 JOIN Customers AS T2 ON T1.customer_id = T2.customer_id GROUP BY T1.customer_id HAVING count(*) >= 2</SQL_QUERY> | customers_and_invoices | SELECT T2.customer_first_name , T1.customer_id FROM Accounts AS T1 JOIN Customers AS T2 ON T1.customer_id = T2.customer_id GROUP BY T1.customer_id HAVING count(*) >= 2 | What are the first names and ids for customers who have two or more accounts? | [Schema (values) (types)]: | customers_and_invoices | Customers : customer_id (text) , customer_first_name (number) , customer_middle_initial (text) , customer_last_name (text) , gender (text) , email_address (text) , login_name (text) , login_password (text) , phone_number (text) , town_city (text) , state_county_province (text) , country (text) | Orders : order_id (text) , customer_id (number) , date_order_placed (text) , order_details (text) | Invoices : invoice_number (text) , order_id (number) , invoice_date (text) | Accounts : account_id (text) , customer_id (number) , date_account_opened (text) , account_name (text) , other_account_details (text) | Product_Categories : production_type_code (text) , product_type_description (number) , vat_rating (text) | Products : product_id (text) , parent_product_id (number) , production_type_code (text) , unit_price (text) , product_name (text) , product_color (text) , product_size (text) | Financial_Transactions : transaction_id (text) , account_id (number) , invoice_number (text) , transaction_type (text) , transaction_date (text) , transaction_amount (text) , transaction_comment (text) , other_transaction_details (text) | Order_Items : order_item_id (text) , order_id (number) , product_id (text) , product_quantity (text) , other_order_item_details (text) | Invoice_Line_Items : order_item_id (text) , invoice_number (number) , product_id (text) , product_title (text) , product_quantity (text) , product_price (text) , derived_product_cost (text) , derived_vat_payable (text) , derived_total_cost (text); | [Primary Keys]: customers : customer_id, orders : order_id, invoices : invoice_number, accounts : account_id, product_categories : production_type_code, products : product_id, financial_transactions : order_item_id | [Foreign Keys]: orders : customer_id = customers : customer_id | invoices : order_id = orders : order_id | accounts : customer_id = customers : customer_id | products : production_type_code = product_categories : production_type_code | financial_transactions : account_id = accounts : account_id | financial_transactions : invoice_number = invoices : invoice_number | order_items : order_id = orders : order_id | order_items : product_id = products : product_id | invoice_line_items : product_id = products : product_id | invoice_line_items : invoice_number = invoices : invoice_number | invoice_line_items : order_item_id = order_items : order_item_id |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | customers_and_invoices | Customers : customer_id (text) , customer_first_name (number) , customer_middle_initial (text) , customer_last_name (text) , gender (text) , email_address (text) , login_name (text) , login_password (text) , phone_number (text) , town_city (text) , state_county_province (text) , country (text) | Orders : order_id (text) , customer_id (number) , date_order_placed (text) , order_details (text) | Invoices : invoice_number (text) , order_id (number) , invoice_date (text) | Accounts : account_id (text) , customer_id (number) , date_account_opened (text) , account_name (text) , other_account_details (text) | Product_Categories : production_type_code (text) , product_type_description (number) , vat_rating (text) | Products : product_id (text) , parent_product_id (number) , production_type_code (text) , unit_price (text) , product_name (text) , product_color (text) , product_size (text) | Financial_Transactions : transaction_id (text) , account_id (number) , invoice_number (text) , transaction_type (text) , transaction_date (text) , transaction_amount (text) , transaction_comment (text) , other_transaction_details (text) | Order_Items : order_item_id (text) , order_id (number) , product_id (text) , product_quantity (text) , other_order_item_details (text) | Invoice_Line_Items : order_item_id (text) , invoice_number (number) , product_id (text) , product_title (text) , product_quantity (text) , product_price (text) , derived_product_cost (text) , derived_vat_payable (text) , derived_total_cost (text);</schema>"
<primary_keys>[Primary Keys]: customers : customer_id, orders : order_id, invoices : invoice_number, accounts : account_id, product_categories : production_type_code, products : product_id, financial_transactions : order_item_id</primary_keys>"
<foreign_keys>[Foreign Keys]: orders : customer_id = customers : customer_id | invoices : order_id = orders : order_id | accounts : customer_id = customers : customer_id | products : production_type_code = product_categories : production_type_code | financial_transactions : account_id = accounts : account_id | financial_transactions : invoice_number = invoices : invoice_number | order_items : order_id = orders : order_id | order_items : product_id = products : product_id | invoice_line_items : product_id = products : product_id | invoice_line_items : invoice_number = invoices : invoice_number | invoice_line_items : order_item_id = order_items : order_item_id</foreign_keys>"
Answer the following question with a SQL Statement:<question>Show the number of customers.</question>
[SQL]:
| <SQL_QUERY>SELECT count(*) FROM Customers</SQL_QUERY> | customers_and_invoices | SELECT count(*) FROM Customers | Show the number of customers. | [Schema (values) (types)]: | customers_and_invoices | Customers : customer_id (text) , customer_first_name (number) , customer_middle_initial (text) , customer_last_name (text) , gender (text) , email_address (text) , login_name (text) , login_password (text) , phone_number (text) , town_city (text) , state_county_province (text) , country (text) | Orders : order_id (text) , customer_id (number) , date_order_placed (text) , order_details (text) | Invoices : invoice_number (text) , order_id (number) , invoice_date (text) | Accounts : account_id (text) , customer_id (number) , date_account_opened (text) , account_name (text) , other_account_details (text) | Product_Categories : production_type_code (text) , product_type_description (number) , vat_rating (text) | Products : product_id (text) , parent_product_id (number) , production_type_code (text) , unit_price (text) , product_name (text) , product_color (text) , product_size (text) | Financial_Transactions : transaction_id (text) , account_id (number) , invoice_number (text) , transaction_type (text) , transaction_date (text) , transaction_amount (text) , transaction_comment (text) , other_transaction_details (text) | Order_Items : order_item_id (text) , order_id (number) , product_id (text) , product_quantity (text) , other_order_item_details (text) | Invoice_Line_Items : order_item_id (text) , invoice_number (number) , product_id (text) , product_title (text) , product_quantity (text) , product_price (text) , derived_product_cost (text) , derived_vat_payable (text) , derived_total_cost (text); | [Primary Keys]: customers : customer_id, orders : order_id, invoices : invoice_number, accounts : account_id, product_categories : production_type_code, products : product_id, financial_transactions : order_item_id | [Foreign Keys]: orders : customer_id = customers : customer_id | invoices : order_id = orders : order_id | accounts : customer_id = customers : customer_id | products : production_type_code = product_categories : production_type_code | financial_transactions : account_id = accounts : account_id | financial_transactions : invoice_number = invoices : invoice_number | order_items : order_id = orders : order_id | order_items : product_id = products : product_id | invoice_line_items : product_id = products : product_id | invoice_line_items : invoice_number = invoices : invoice_number | invoice_line_items : order_item_id = order_items : order_item_id |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | customers_and_invoices | Customers : customer_id (text) , customer_first_name (number) , customer_middle_initial (text) , customer_last_name (text) , gender (text) , email_address (text) , login_name (text) , login_password (text) , phone_number (text) , town_city (text) , state_county_province (text) , country (text) | Orders : order_id (text) , customer_id (number) , date_order_placed (text) , order_details (text) | Invoices : invoice_number (text) , order_id (number) , invoice_date (text) | Accounts : account_id (text) , customer_id (number) , date_account_opened (text) , account_name (text) , other_account_details (text) | Product_Categories : production_type_code (text) , product_type_description (number) , vat_rating (text) | Products : product_id (text) , parent_product_id (number) , production_type_code (text) , unit_price (text) , product_name (text) , product_color (text) , product_size (text) | Financial_Transactions : transaction_id (text) , account_id (number) , invoice_number (text) , transaction_type (text) , transaction_date (text) , transaction_amount (text) , transaction_comment (text) , other_transaction_details (text) | Order_Items : order_item_id (text) , order_id (number) , product_id (text) , product_quantity (text) , other_order_item_details (text) | Invoice_Line_Items : order_item_id (text) , invoice_number (number) , product_id (text) , product_title (text) , product_quantity (text) , product_price (text) , derived_product_cost (text) , derived_vat_payable (text) , derived_total_cost (text);</schema>"
<primary_keys>[Primary Keys]: customers : customer_id, orders : order_id, invoices : invoice_number, accounts : account_id, product_categories : production_type_code, products : product_id, financial_transactions : order_item_id</primary_keys>"
<foreign_keys>[Foreign Keys]: orders : customer_id = customers : customer_id | invoices : order_id = orders : order_id | accounts : customer_id = customers : customer_id | products : production_type_code = product_categories : production_type_code | financial_transactions : account_id = accounts : account_id | financial_transactions : invoice_number = invoices : invoice_number | order_items : order_id = orders : order_id | order_items : product_id = products : product_id | invoice_line_items : product_id = products : product_id | invoice_line_items : invoice_number = invoices : invoice_number | invoice_line_items : order_item_id = order_items : order_item_id</foreign_keys>"
Answer the following question with a SQL Statement:<question>Count the number of customers.</question>
[SQL]:
| <SQL_QUERY>SELECT count(*) FROM Customers</SQL_QUERY> | customers_and_invoices | SELECT count(*) FROM Customers | Count the number of customers. | [Schema (values) (types)]: | customers_and_invoices | Customers : customer_id (text) , customer_first_name (number) , customer_middle_initial (text) , customer_last_name (text) , gender (text) , email_address (text) , login_name (text) , login_password (text) , phone_number (text) , town_city (text) , state_county_province (text) , country (text) | Orders : order_id (text) , customer_id (number) , date_order_placed (text) , order_details (text) | Invoices : invoice_number (text) , order_id (number) , invoice_date (text) | Accounts : account_id (text) , customer_id (number) , date_account_opened (text) , account_name (text) , other_account_details (text) | Product_Categories : production_type_code (text) , product_type_description (number) , vat_rating (text) | Products : product_id (text) , parent_product_id (number) , production_type_code (text) , unit_price (text) , product_name (text) , product_color (text) , product_size (text) | Financial_Transactions : transaction_id (text) , account_id (number) , invoice_number (text) , transaction_type (text) , transaction_date (text) , transaction_amount (text) , transaction_comment (text) , other_transaction_details (text) | Order_Items : order_item_id (text) , order_id (number) , product_id (text) , product_quantity (text) , other_order_item_details (text) | Invoice_Line_Items : order_item_id (text) , invoice_number (number) , product_id (text) , product_title (text) , product_quantity (text) , product_price (text) , derived_product_cost (text) , derived_vat_payable (text) , derived_total_cost (text); | [Primary Keys]: customers : customer_id, orders : order_id, invoices : invoice_number, accounts : account_id, product_categories : production_type_code, products : product_id, financial_transactions : order_item_id | [Foreign Keys]: orders : customer_id = customers : customer_id | invoices : order_id = orders : order_id | accounts : customer_id = customers : customer_id | products : production_type_code = product_categories : production_type_code | financial_transactions : account_id = accounts : account_id | financial_transactions : invoice_number = invoices : invoice_number | order_items : order_id = orders : order_id | order_items : product_id = products : product_id | invoice_line_items : product_id = products : product_id | invoice_line_items : invoice_number = invoices : invoice_number | invoice_line_items : order_item_id = order_items : order_item_id |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | customers_and_invoices | Customers : customer_id (text) , customer_first_name (number) , customer_middle_initial (text) , customer_last_name (text) , gender (text) , email_address (text) , login_name (text) , login_password (text) , phone_number (text) , town_city (text) , state_county_province (text) , country (text) | Orders : order_id (text) , customer_id (number) , date_order_placed (text) , order_details (text) | Invoices : invoice_number (text) , order_id (number) , invoice_date (text) | Accounts : account_id (text) , customer_id (number) , date_account_opened (text) , account_name (text) , other_account_details (text) | Product_Categories : production_type_code (text) , product_type_description (number) , vat_rating (text) | Products : product_id (text) , parent_product_id (number) , production_type_code (text) , unit_price (text) , product_name (text) , product_color (text) , product_size (text) | Financial_Transactions : transaction_id (text) , account_id (number) , invoice_number (text) , transaction_type (text) , transaction_date (text) , transaction_amount (text) , transaction_comment (text) , other_transaction_details (text) | Order_Items : order_item_id (text) , order_id (number) , product_id (text) , product_quantity (text) , other_order_item_details (text) | Invoice_Line_Items : order_item_id (text) , invoice_number (number) , product_id (text) , product_title (text) , product_quantity (text) , product_price (text) , derived_product_cost (text) , derived_vat_payable (text) , derived_total_cost (text);</schema>"
<primary_keys>[Primary Keys]: customers : customer_id, orders : order_id, invoices : invoice_number, accounts : account_id, product_categories : production_type_code, products : product_id, financial_transactions : order_item_id</primary_keys>"
<foreign_keys>[Foreign Keys]: orders : customer_id = customers : customer_id | invoices : order_id = orders : order_id | accounts : customer_id = customers : customer_id | products : production_type_code = product_categories : production_type_code | financial_transactions : account_id = accounts : account_id | financial_transactions : invoice_number = invoices : invoice_number | order_items : order_id = orders : order_id | order_items : product_id = products : product_id | invoice_line_items : product_id = products : product_id | invoice_line_items : invoice_number = invoices : invoice_number | invoice_line_items : order_item_id = order_items : order_item_id</foreign_keys>"
Answer the following question with a SQL Statement:<question>Show the number of customers for each gender.</question>
[SQL]:
| <SQL_QUERY>SELECT gender , count(*) FROM Customers GROUP BY gender</SQL_QUERY> | customers_and_invoices | SELECT gender , count(*) FROM Customers GROUP BY gender | Show the number of customers for each gender. | [Schema (values) (types)]: | customers_and_invoices | Customers : customer_id (text) , customer_first_name (number) , customer_middle_initial (text) , customer_last_name (text) , gender (text) , email_address (text) , login_name (text) , login_password (text) , phone_number (text) , town_city (text) , state_county_province (text) , country (text) | Orders : order_id (text) , customer_id (number) , date_order_placed (text) , order_details (text) | Invoices : invoice_number (text) , order_id (number) , invoice_date (text) | Accounts : account_id (text) , customer_id (number) , date_account_opened (text) , account_name (text) , other_account_details (text) | Product_Categories : production_type_code (text) , product_type_description (number) , vat_rating (text) | Products : product_id (text) , parent_product_id (number) , production_type_code (text) , unit_price (text) , product_name (text) , product_color (text) , product_size (text) | Financial_Transactions : transaction_id (text) , account_id (number) , invoice_number (text) , transaction_type (text) , transaction_date (text) , transaction_amount (text) , transaction_comment (text) , other_transaction_details (text) | Order_Items : order_item_id (text) , order_id (number) , product_id (text) , product_quantity (text) , other_order_item_details (text) | Invoice_Line_Items : order_item_id (text) , invoice_number (number) , product_id (text) , product_title (text) , product_quantity (text) , product_price (text) , derived_product_cost (text) , derived_vat_payable (text) , derived_total_cost (text); | [Primary Keys]: customers : customer_id, orders : order_id, invoices : invoice_number, accounts : account_id, product_categories : production_type_code, products : product_id, financial_transactions : order_item_id | [Foreign Keys]: orders : customer_id = customers : customer_id | invoices : order_id = orders : order_id | accounts : customer_id = customers : customer_id | products : production_type_code = product_categories : production_type_code | financial_transactions : account_id = accounts : account_id | financial_transactions : invoice_number = invoices : invoice_number | order_items : order_id = orders : order_id | order_items : product_id = products : product_id | invoice_line_items : product_id = products : product_id | invoice_line_items : invoice_number = invoices : invoice_number | invoice_line_items : order_item_id = order_items : order_item_id |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | customers_and_invoices | Customers : customer_id (text) , customer_first_name (number) , customer_middle_initial (text) , customer_last_name (text) , gender (text) , email_address (text) , login_name (text) , login_password (text) , phone_number (text) , town_city (text) , state_county_province (text) , country (text) | Orders : order_id (text) , customer_id (number) , date_order_placed (text) , order_details (text) | Invoices : invoice_number (text) , order_id (number) , invoice_date (text) | Accounts : account_id (text) , customer_id (number) , date_account_opened (text) , account_name (text) , other_account_details (text) | Product_Categories : production_type_code (text) , product_type_description (number) , vat_rating (text) | Products : product_id (text) , parent_product_id (number) , production_type_code (text) , unit_price (text) , product_name (text) , product_color (text) , product_size (text) | Financial_Transactions : transaction_id (text) , account_id (number) , invoice_number (text) , transaction_type (text) , transaction_date (text) , transaction_amount (text) , transaction_comment (text) , other_transaction_details (text) | Order_Items : order_item_id (text) , order_id (number) , product_id (text) , product_quantity (text) , other_order_item_details (text) | Invoice_Line_Items : order_item_id (text) , invoice_number (number) , product_id (text) , product_title (text) , product_quantity (text) , product_price (text) , derived_product_cost (text) , derived_vat_payable (text) , derived_total_cost (text);</schema>"
<primary_keys>[Primary Keys]: customers : customer_id, orders : order_id, invoices : invoice_number, accounts : account_id, product_categories : production_type_code, products : product_id, financial_transactions : order_item_id</primary_keys>"
<foreign_keys>[Foreign Keys]: orders : customer_id = customers : customer_id | invoices : order_id = orders : order_id | accounts : customer_id = customers : customer_id | products : production_type_code = product_categories : production_type_code | financial_transactions : account_id = accounts : account_id | financial_transactions : invoice_number = invoices : invoice_number | order_items : order_id = orders : order_id | order_items : product_id = products : product_id | invoice_line_items : product_id = products : product_id | invoice_line_items : invoice_number = invoices : invoice_number | invoice_line_items : order_item_id = order_items : order_item_id</foreign_keys>"
Answer the following question with a SQL Statement:<question>How many customers are there of each gender?</question>
[SQL]:
| <SQL_QUERY>SELECT gender , count(*) FROM Customers GROUP BY gender</SQL_QUERY> | customers_and_invoices | SELECT gender , count(*) FROM Customers GROUP BY gender | How many customers are there of each gender? | [Schema (values) (types)]: | customers_and_invoices | Customers : customer_id (text) , customer_first_name (number) , customer_middle_initial (text) , customer_last_name (text) , gender (text) , email_address (text) , login_name (text) , login_password (text) , phone_number (text) , town_city (text) , state_county_province (text) , country (text) | Orders : order_id (text) , customer_id (number) , date_order_placed (text) , order_details (text) | Invoices : invoice_number (text) , order_id (number) , invoice_date (text) | Accounts : account_id (text) , customer_id (number) , date_account_opened (text) , account_name (text) , other_account_details (text) | Product_Categories : production_type_code (text) , product_type_description (number) , vat_rating (text) | Products : product_id (text) , parent_product_id (number) , production_type_code (text) , unit_price (text) , product_name (text) , product_color (text) , product_size (text) | Financial_Transactions : transaction_id (text) , account_id (number) , invoice_number (text) , transaction_type (text) , transaction_date (text) , transaction_amount (text) , transaction_comment (text) , other_transaction_details (text) | Order_Items : order_item_id (text) , order_id (number) , product_id (text) , product_quantity (text) , other_order_item_details (text) | Invoice_Line_Items : order_item_id (text) , invoice_number (number) , product_id (text) , product_title (text) , product_quantity (text) , product_price (text) , derived_product_cost (text) , derived_vat_payable (text) , derived_total_cost (text); | [Primary Keys]: customers : customer_id, orders : order_id, invoices : invoice_number, accounts : account_id, product_categories : production_type_code, products : product_id, financial_transactions : order_item_id | [Foreign Keys]: orders : customer_id = customers : customer_id | invoices : order_id = orders : order_id | accounts : customer_id = customers : customer_id | products : production_type_code = product_categories : production_type_code | financial_transactions : account_id = accounts : account_id | financial_transactions : invoice_number = invoices : invoice_number | order_items : order_id = orders : order_id | order_items : product_id = products : product_id | invoice_line_items : product_id = products : product_id | invoice_line_items : invoice_number = invoices : invoice_number | invoice_line_items : order_item_id = order_items : order_item_id |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | customers_and_invoices | Customers : customer_id (text) , customer_first_name (number) , customer_middle_initial (text) , customer_last_name (text) , gender (text) , email_address (text) , login_name (text) , login_password (text) , phone_number (text) , town_city (text) , state_county_province (text) , country (text) | Orders : order_id (text) , customer_id (number) , date_order_placed (text) , order_details (text) | Invoices : invoice_number (text) , order_id (number) , invoice_date (text) | Accounts : account_id (text) , customer_id (number) , date_account_opened (text) , account_name (text) , other_account_details (text) | Product_Categories : production_type_code (text) , product_type_description (number) , vat_rating (text) | Products : product_id (text) , parent_product_id (number) , production_type_code (text) , unit_price (text) , product_name (text) , product_color (text) , product_size (text) | Financial_Transactions : transaction_id (text) , account_id (number) , invoice_number (text) , transaction_type (text) , transaction_date (text) , transaction_amount (text) , transaction_comment (text) , other_transaction_details (text) | Order_Items : order_item_id (text) , order_id (number) , product_id (text) , product_quantity (text) , other_order_item_details (text) | Invoice_Line_Items : order_item_id (text) , invoice_number (number) , product_id (text) , product_title (text) , product_quantity (text) , product_price (text) , derived_product_cost (text) , derived_vat_payable (text) , derived_total_cost (text);</schema>"
<primary_keys>[Primary Keys]: customers : customer_id, orders : order_id, invoices : invoice_number, accounts : account_id, product_categories : production_type_code, products : product_id, financial_transactions : order_item_id</primary_keys>"
<foreign_keys>[Foreign Keys]: orders : customer_id = customers : customer_id | invoices : order_id = orders : order_id | accounts : customer_id = customers : customer_id | products : production_type_code = product_categories : production_type_code | financial_transactions : account_id = accounts : account_id | financial_transactions : invoice_number = invoices : invoice_number | order_items : order_id = orders : order_id | order_items : product_id = products : product_id | invoice_line_items : product_id = products : product_id | invoice_line_items : invoice_number = invoices : invoice_number | invoice_line_items : order_item_id = order_items : order_item_id</foreign_keys>"
Answer the following question with a SQL Statement:<question>How many transactions do we have?</question>
[SQL]:
| <SQL_QUERY>SELECT count(*) FROM Financial_transactions</SQL_QUERY> | customers_and_invoices | SELECT count(*) FROM Financial_transactions | How many transactions do we have? | [Schema (values) (types)]: | customers_and_invoices | Customers : customer_id (text) , customer_first_name (number) , customer_middle_initial (text) , customer_last_name (text) , gender (text) , email_address (text) , login_name (text) , login_password (text) , phone_number (text) , town_city (text) , state_county_province (text) , country (text) | Orders : order_id (text) , customer_id (number) , date_order_placed (text) , order_details (text) | Invoices : invoice_number (text) , order_id (number) , invoice_date (text) | Accounts : account_id (text) , customer_id (number) , date_account_opened (text) , account_name (text) , other_account_details (text) | Product_Categories : production_type_code (text) , product_type_description (number) , vat_rating (text) | Products : product_id (text) , parent_product_id (number) , production_type_code (text) , unit_price (text) , product_name (text) , product_color (text) , product_size (text) | Financial_Transactions : transaction_id (text) , account_id (number) , invoice_number (text) , transaction_type (text) , transaction_date (text) , transaction_amount (text) , transaction_comment (text) , other_transaction_details (text) | Order_Items : order_item_id (text) , order_id (number) , product_id (text) , product_quantity (text) , other_order_item_details (text) | Invoice_Line_Items : order_item_id (text) , invoice_number (number) , product_id (text) , product_title (text) , product_quantity (text) , product_price (text) , derived_product_cost (text) , derived_vat_payable (text) , derived_total_cost (text); | [Primary Keys]: customers : customer_id, orders : order_id, invoices : invoice_number, accounts : account_id, product_categories : production_type_code, products : product_id, financial_transactions : order_item_id | [Foreign Keys]: orders : customer_id = customers : customer_id | invoices : order_id = orders : order_id | accounts : customer_id = customers : customer_id | products : production_type_code = product_categories : production_type_code | financial_transactions : account_id = accounts : account_id | financial_transactions : invoice_number = invoices : invoice_number | order_items : order_id = orders : order_id | order_items : product_id = products : product_id | invoice_line_items : product_id = products : product_id | invoice_line_items : invoice_number = invoices : invoice_number | invoice_line_items : order_item_id = order_items : order_item_id |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | customers_and_invoices | Customers : customer_id (text) , customer_first_name (number) , customer_middle_initial (text) , customer_last_name (text) , gender (text) , email_address (text) , login_name (text) , login_password (text) , phone_number (text) , town_city (text) , state_county_province (text) , country (text) | Orders : order_id (text) , customer_id (number) , date_order_placed (text) , order_details (text) | Invoices : invoice_number (text) , order_id (number) , invoice_date (text) | Accounts : account_id (text) , customer_id (number) , date_account_opened (text) , account_name (text) , other_account_details (text) | Product_Categories : production_type_code (text) , product_type_description (number) , vat_rating (text) | Products : product_id (text) , parent_product_id (number) , production_type_code (text) , unit_price (text) , product_name (text) , product_color (text) , product_size (text) | Financial_Transactions : transaction_id (text) , account_id (number) , invoice_number (text) , transaction_type (text) , transaction_date (text) , transaction_amount (text) , transaction_comment (text) , other_transaction_details (text) | Order_Items : order_item_id (text) , order_id (number) , product_id (text) , product_quantity (text) , other_order_item_details (text) | Invoice_Line_Items : order_item_id (text) , invoice_number (number) , product_id (text) , product_title (text) , product_quantity (text) , product_price (text) , derived_product_cost (text) , derived_vat_payable (text) , derived_total_cost (text);</schema>"
<primary_keys>[Primary Keys]: customers : customer_id, orders : order_id, invoices : invoice_number, accounts : account_id, product_categories : production_type_code, products : product_id, financial_transactions : order_item_id</primary_keys>"
<foreign_keys>[Foreign Keys]: orders : customer_id = customers : customer_id | invoices : order_id = orders : order_id | accounts : customer_id = customers : customer_id | products : production_type_code = product_categories : production_type_code | financial_transactions : account_id = accounts : account_id | financial_transactions : invoice_number = invoices : invoice_number | order_items : order_id = orders : order_id | order_items : product_id = products : product_id | invoice_line_items : product_id = products : product_id | invoice_line_items : invoice_number = invoices : invoice_number | invoice_line_items : order_item_id = order_items : order_item_id</foreign_keys>"
Answer the following question with a SQL Statement:<question>Count the number of transactions.</question>
[SQL]:
| <SQL_QUERY>SELECT count(*) FROM Financial_transactions</SQL_QUERY> | customers_and_invoices | SELECT count(*) FROM Financial_transactions | Count the number of transactions. | [Schema (values) (types)]: | customers_and_invoices | Customers : customer_id (text) , customer_first_name (number) , customer_middle_initial (text) , customer_last_name (text) , gender (text) , email_address (text) , login_name (text) , login_password (text) , phone_number (text) , town_city (text) , state_county_province (text) , country (text) | Orders : order_id (text) , customer_id (number) , date_order_placed (text) , order_details (text) | Invoices : invoice_number (text) , order_id (number) , invoice_date (text) | Accounts : account_id (text) , customer_id (number) , date_account_opened (text) , account_name (text) , other_account_details (text) | Product_Categories : production_type_code (text) , product_type_description (number) , vat_rating (text) | Products : product_id (text) , parent_product_id (number) , production_type_code (text) , unit_price (text) , product_name (text) , product_color (text) , product_size (text) | Financial_Transactions : transaction_id (text) , account_id (number) , invoice_number (text) , transaction_type (text) , transaction_date (text) , transaction_amount (text) , transaction_comment (text) , other_transaction_details (text) | Order_Items : order_item_id (text) , order_id (number) , product_id (text) , product_quantity (text) , other_order_item_details (text) | Invoice_Line_Items : order_item_id (text) , invoice_number (number) , product_id (text) , product_title (text) , product_quantity (text) , product_price (text) , derived_product_cost (text) , derived_vat_payable (text) , derived_total_cost (text); | [Primary Keys]: customers : customer_id, orders : order_id, invoices : invoice_number, accounts : account_id, product_categories : production_type_code, products : product_id, financial_transactions : order_item_id | [Foreign Keys]: orders : customer_id = customers : customer_id | invoices : order_id = orders : order_id | accounts : customer_id = customers : customer_id | products : production_type_code = product_categories : production_type_code | financial_transactions : account_id = accounts : account_id | financial_transactions : invoice_number = invoices : invoice_number | order_items : order_id = orders : order_id | order_items : product_id = products : product_id | invoice_line_items : product_id = products : product_id | invoice_line_items : invoice_number = invoices : invoice_number | invoice_line_items : order_item_id = order_items : order_item_id |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | customers_and_invoices | Customers : customer_id (text) , customer_first_name (number) , customer_middle_initial (text) , customer_last_name (text) , gender (text) , email_address (text) , login_name (text) , login_password (text) , phone_number (text) , town_city (text) , state_county_province (text) , country (text) | Orders : order_id (text) , customer_id (number) , date_order_placed (text) , order_details (text) | Invoices : invoice_number (text) , order_id (number) , invoice_date (text) | Accounts : account_id (text) , customer_id (number) , date_account_opened (text) , account_name (text) , other_account_details (text) | Product_Categories : production_type_code (text) , product_type_description (number) , vat_rating (text) | Products : product_id (text) , parent_product_id (number) , production_type_code (text) , unit_price (text) , product_name (text) , product_color (text) , product_size (text) | Financial_Transactions : transaction_id (text) , account_id (number) , invoice_number (text) , transaction_type (text) , transaction_date (text) , transaction_amount (text) , transaction_comment (text) , other_transaction_details (text) | Order_Items : order_item_id (text) , order_id (number) , product_id (text) , product_quantity (text) , other_order_item_details (text) | Invoice_Line_Items : order_item_id (text) , invoice_number (number) , product_id (text) , product_title (text) , product_quantity (text) , product_price (text) , derived_product_cost (text) , derived_vat_payable (text) , derived_total_cost (text);</schema>"
<primary_keys>[Primary Keys]: customers : customer_id, orders : order_id, invoices : invoice_number, accounts : account_id, product_categories : production_type_code, products : product_id, financial_transactions : order_item_id</primary_keys>"
<foreign_keys>[Foreign Keys]: orders : customer_id = customers : customer_id | invoices : order_id = orders : order_id | accounts : customer_id = customers : customer_id | products : production_type_code = product_categories : production_type_code | financial_transactions : account_id = accounts : account_id | financial_transactions : invoice_number = invoices : invoice_number | order_items : order_id = orders : order_id | order_items : product_id = products : product_id | invoice_line_items : product_id = products : product_id | invoice_line_items : invoice_number = invoices : invoice_number | invoice_line_items : order_item_id = order_items : order_item_id</foreign_keys>"
Answer the following question with a SQL Statement:<question>How many transaction does each account have? Show the number and account id.</question>
[SQL]:
| <SQL_QUERY>SELECT count(*) , account_id FROM Financial_transactions</SQL_QUERY> | customers_and_invoices | SELECT count(*) , account_id FROM Financial_transactions | How many transaction does each account have? Show the number and account id. | [Schema (values) (types)]: | customers_and_invoices | Customers : customer_id (text) , customer_first_name (number) , customer_middle_initial (text) , customer_last_name (text) , gender (text) , email_address (text) , login_name (text) , login_password (text) , phone_number (text) , town_city (text) , state_county_province (text) , country (text) | Orders : order_id (text) , customer_id (number) , date_order_placed (text) , order_details (text) | Invoices : invoice_number (text) , order_id (number) , invoice_date (text) | Accounts : account_id (text) , customer_id (number) , date_account_opened (text) , account_name (text) , other_account_details (text) | Product_Categories : production_type_code (text) , product_type_description (number) , vat_rating (text) | Products : product_id (text) , parent_product_id (number) , production_type_code (text) , unit_price (text) , product_name (text) , product_color (text) , product_size (text) | Financial_Transactions : transaction_id (text) , account_id (number) , invoice_number (text) , transaction_type (text) , transaction_date (text) , transaction_amount (text) , transaction_comment (text) , other_transaction_details (text) | Order_Items : order_item_id (text) , order_id (number) , product_id (text) , product_quantity (text) , other_order_item_details (text) | Invoice_Line_Items : order_item_id (text) , invoice_number (number) , product_id (text) , product_title (text) , product_quantity (text) , product_price (text) , derived_product_cost (text) , derived_vat_payable (text) , derived_total_cost (text); | [Primary Keys]: customers : customer_id, orders : order_id, invoices : invoice_number, accounts : account_id, product_categories : production_type_code, products : product_id, financial_transactions : order_item_id | [Foreign Keys]: orders : customer_id = customers : customer_id | invoices : order_id = orders : order_id | accounts : customer_id = customers : customer_id | products : production_type_code = product_categories : production_type_code | financial_transactions : account_id = accounts : account_id | financial_transactions : invoice_number = invoices : invoice_number | order_items : order_id = orders : order_id | order_items : product_id = products : product_id | invoice_line_items : product_id = products : product_id | invoice_line_items : invoice_number = invoices : invoice_number | invoice_line_items : order_item_id = order_items : order_item_id |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | customers_and_invoices | Customers : customer_id (text) , customer_first_name (number) , customer_middle_initial (text) , customer_last_name (text) , gender (text) , email_address (text) , login_name (text) , login_password (text) , phone_number (text) , town_city (text) , state_county_province (text) , country (text) | Orders : order_id (text) , customer_id (number) , date_order_placed (text) , order_details (text) | Invoices : invoice_number (text) , order_id (number) , invoice_date (text) | Accounts : account_id (text) , customer_id (number) , date_account_opened (text) , account_name (text) , other_account_details (text) | Product_Categories : production_type_code (text) , product_type_description (number) , vat_rating (text) | Products : product_id (text) , parent_product_id (number) , production_type_code (text) , unit_price (text) , product_name (text) , product_color (text) , product_size (text) | Financial_Transactions : transaction_id (text) , account_id (number) , invoice_number (text) , transaction_type (text) , transaction_date (text) , transaction_amount (text) , transaction_comment (text) , other_transaction_details (text) | Order_Items : order_item_id (text) , order_id (number) , product_id (text) , product_quantity (text) , other_order_item_details (text) | Invoice_Line_Items : order_item_id (text) , invoice_number (number) , product_id (text) , product_title (text) , product_quantity (text) , product_price (text) , derived_product_cost (text) , derived_vat_payable (text) , derived_total_cost (text);</schema>"
<primary_keys>[Primary Keys]: customers : customer_id, orders : order_id, invoices : invoice_number, accounts : account_id, product_categories : production_type_code, products : product_id, financial_transactions : order_item_id</primary_keys>"
<foreign_keys>[Foreign Keys]: orders : customer_id = customers : customer_id | invoices : order_id = orders : order_id | accounts : customer_id = customers : customer_id | products : production_type_code = product_categories : production_type_code | financial_transactions : account_id = accounts : account_id | financial_transactions : invoice_number = invoices : invoice_number | order_items : order_id = orders : order_id | order_items : product_id = products : product_id | invoice_line_items : product_id = products : product_id | invoice_line_items : invoice_number = invoices : invoice_number | invoice_line_items : order_item_id = order_items : order_item_id</foreign_keys>"
Answer the following question with a SQL Statement:<question>Count the number of financial transactions that correspond to each account id.</question>
[SQL]:
| <SQL_QUERY>SELECT count(*) , account_id FROM Financial_transactions</SQL_QUERY> | customers_and_invoices | SELECT count(*) , account_id FROM Financial_transactions | Count the number of financial transactions that correspond to each account id. | [Schema (values) (types)]: | customers_and_invoices | Customers : customer_id (text) , customer_first_name (number) , customer_middle_initial (text) , customer_last_name (text) , gender (text) , email_address (text) , login_name (text) , login_password (text) , phone_number (text) , town_city (text) , state_county_province (text) , country (text) | Orders : order_id (text) , customer_id (number) , date_order_placed (text) , order_details (text) | Invoices : invoice_number (text) , order_id (number) , invoice_date (text) | Accounts : account_id (text) , customer_id (number) , date_account_opened (text) , account_name (text) , other_account_details (text) | Product_Categories : production_type_code (text) , product_type_description (number) , vat_rating (text) | Products : product_id (text) , parent_product_id (number) , production_type_code (text) , unit_price (text) , product_name (text) , product_color (text) , product_size (text) | Financial_Transactions : transaction_id (text) , account_id (number) , invoice_number (text) , transaction_type (text) , transaction_date (text) , transaction_amount (text) , transaction_comment (text) , other_transaction_details (text) | Order_Items : order_item_id (text) , order_id (number) , product_id (text) , product_quantity (text) , other_order_item_details (text) | Invoice_Line_Items : order_item_id (text) , invoice_number (number) , product_id (text) , product_title (text) , product_quantity (text) , product_price (text) , derived_product_cost (text) , derived_vat_payable (text) , derived_total_cost (text); | [Primary Keys]: customers : customer_id, orders : order_id, invoices : invoice_number, accounts : account_id, product_categories : production_type_code, products : product_id, financial_transactions : order_item_id | [Foreign Keys]: orders : customer_id = customers : customer_id | invoices : order_id = orders : order_id | accounts : customer_id = customers : customer_id | products : production_type_code = product_categories : production_type_code | financial_transactions : account_id = accounts : account_id | financial_transactions : invoice_number = invoices : invoice_number | order_items : order_id = orders : order_id | order_items : product_id = products : product_id | invoice_line_items : product_id = products : product_id | invoice_line_items : invoice_number = invoices : invoice_number | invoice_line_items : order_item_id = order_items : order_item_id |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | customers_and_invoices | Customers : customer_id (text) , customer_first_name (number) , customer_middle_initial (text) , customer_last_name (text) , gender (text) , email_address (text) , login_name (text) , login_password (text) , phone_number (text) , town_city (text) , state_county_province (text) , country (text) | Orders : order_id (text) , customer_id (number) , date_order_placed (text) , order_details (text) | Invoices : invoice_number (text) , order_id (number) , invoice_date (text) | Accounts : account_id (text) , customer_id (number) , date_account_opened (text) , account_name (text) , other_account_details (text) | Product_Categories : production_type_code (text) , product_type_description (number) , vat_rating (text) | Products : product_id (text) , parent_product_id (number) , production_type_code (text) , unit_price (text) , product_name (text) , product_color (text) , product_size (text) | Financial_Transactions : transaction_id (text) , account_id (number) , invoice_number (text) , transaction_type (text) , transaction_date (text) , transaction_amount (text) , transaction_comment (text) , other_transaction_details (text) | Order_Items : order_item_id (text) , order_id (number) , product_id (text) , product_quantity (text) , other_order_item_details (text) | Invoice_Line_Items : order_item_id (text) , invoice_number (number) , product_id (text) , product_title (text) , product_quantity (text) , product_price (text) , derived_product_cost (text) , derived_vat_payable (text) , derived_total_cost (text);</schema>"
<primary_keys>[Primary Keys]: customers : customer_id, orders : order_id, invoices : invoice_number, accounts : account_id, product_categories : production_type_code, products : product_id, financial_transactions : order_item_id</primary_keys>"
<foreign_keys>[Foreign Keys]: orders : customer_id = customers : customer_id | invoices : order_id = orders : order_id | accounts : customer_id = customers : customer_id | products : production_type_code = product_categories : production_type_code | financial_transactions : account_id = accounts : account_id | financial_transactions : invoice_number = invoices : invoice_number | order_items : order_id = orders : order_id | order_items : product_id = products : product_id | invoice_line_items : product_id = products : product_id | invoice_line_items : invoice_number = invoices : invoice_number | invoice_line_items : order_item_id = order_items : order_item_id</foreign_keys>"
Answer the following question with a SQL Statement:<question>How many transaction does account with name 337 have?</question>
[SQL]:
| <SQL_QUERY>SELECT count(*) FROM Financial_transactions AS T1 JOIN Accounts AS T2 ON T1.account_id = T2.account_id WHERE T2.account_name = "337"</SQL_QUERY> | 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? | [Schema (values) (types)]: | customers_and_invoices | Customers : customer_id (text) , customer_first_name (number) , customer_middle_initial (text) , customer_last_name (text) , gender (text) , email_address (text) , login_name (text) , login_password (text) , phone_number (text) , town_city (text) , state_county_province (text) , country (text) | Orders : order_id (text) , customer_id (number) , date_order_placed (text) , order_details (text) | Invoices : invoice_number (text) , order_id (number) , invoice_date (text) | Accounts : account_id (text) , customer_id (number) , date_account_opened (text) , account_name (text) , other_account_details (text) | Product_Categories : production_type_code (text) , product_type_description (number) , vat_rating (text) | Products : product_id (text) , parent_product_id (number) , production_type_code (text) , unit_price (text) , product_name (text) , product_color (text) , product_size (text) | Financial_Transactions : transaction_id (text) , account_id (number) , invoice_number (text) , transaction_type (text) , transaction_date (text) , transaction_amount (text) , transaction_comment (text) , other_transaction_details (text) | Order_Items : order_item_id (text) , order_id (number) , product_id (text) , product_quantity (text) , other_order_item_details (text) | Invoice_Line_Items : order_item_id (text) , invoice_number (number) , product_id (text) , product_title (text) , product_quantity (text) , product_price (text) , derived_product_cost (text) , derived_vat_payable (text) , derived_total_cost (text); | [Primary Keys]: customers : customer_id, orders : order_id, invoices : invoice_number, accounts : account_id, product_categories : production_type_code, products : product_id, financial_transactions : order_item_id | [Foreign Keys]: orders : customer_id = customers : customer_id | invoices : order_id = orders : order_id | accounts : customer_id = customers : customer_id | products : production_type_code = product_categories : production_type_code | financial_transactions : account_id = accounts : account_id | financial_transactions : invoice_number = invoices : invoice_number | order_items : order_id = orders : order_id | order_items : product_id = products : product_id | invoice_line_items : product_id = products : product_id | invoice_line_items : invoice_number = invoices : invoice_number | invoice_line_items : order_item_id = order_items : order_item_id |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | customers_and_invoices | Customers : customer_id (text) , customer_first_name (number) , customer_middle_initial (text) , customer_last_name (text) , gender (text) , email_address (text) , login_name (text) , login_password (text) , phone_number (text) , town_city (text) , state_county_province (text) , country (text) | Orders : order_id (text) , customer_id (number) , date_order_placed (text) , order_details (text) | Invoices : invoice_number (text) , order_id (number) , invoice_date (text) | Accounts : account_id (text) , customer_id (number) , date_account_opened (text) , account_name (text) , other_account_details (text) | Product_Categories : production_type_code (text) , product_type_description (number) , vat_rating (text) | Products : product_id (text) , parent_product_id (number) , production_type_code (text) , unit_price (text) , product_name (text) , product_color (text) , product_size (text) | Financial_Transactions : transaction_id (text) , account_id (number) , invoice_number (text) , transaction_type (text) , transaction_date (text) , transaction_amount (text) , transaction_comment (text) , other_transaction_details (text) | Order_Items : order_item_id (text) , order_id (number) , product_id (text) , product_quantity (text) , other_order_item_details (text) | Invoice_Line_Items : order_item_id (text) , invoice_number (number) , product_id (text) , product_title (text) , product_quantity (text) , product_price (text) , derived_product_cost (text) , derived_vat_payable (text) , derived_total_cost (text);</schema>"
<primary_keys>[Primary Keys]: customers : customer_id, orders : order_id, invoices : invoice_number, accounts : account_id, product_categories : production_type_code, products : product_id, financial_transactions : order_item_id</primary_keys>"
<foreign_keys>[Foreign Keys]: orders : customer_id = customers : customer_id | invoices : order_id = orders : order_id | accounts : customer_id = customers : customer_id | products : production_type_code = product_categories : production_type_code | financial_transactions : account_id = accounts : account_id | financial_transactions : invoice_number = invoices : invoice_number | order_items : order_id = orders : order_id | order_items : product_id = products : product_id | invoice_line_items : product_id = products : product_id | invoice_line_items : invoice_number = invoices : invoice_number | invoice_line_items : order_item_id = order_items : order_item_id</foreign_keys>"
Answer the following question with a SQL Statement:<question>Count the number of financial transactions that the account with the name 337 has.</question>
[SQL]:
| <SQL_QUERY>SELECT count(*) FROM Financial_transactions AS T1 JOIN Accounts AS T2 ON T1.account_id = T2.account_id WHERE T2.account_name = "337"</SQL_QUERY> | 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" | Count the number of financial transactions that the account with the name 337 has. | [Schema (values) (types)]: | customers_and_invoices | Customers : customer_id (text) , customer_first_name (number) , customer_middle_initial (text) , customer_last_name (text) , gender (text) , email_address (text) , login_name (text) , login_password (text) , phone_number (text) , town_city (text) , state_county_province (text) , country (text) | Orders : order_id (text) , customer_id (number) , date_order_placed (text) , order_details (text) | Invoices : invoice_number (text) , order_id (number) , invoice_date (text) | Accounts : account_id (text) , customer_id (number) , date_account_opened (text) , account_name (text) , other_account_details (text) | Product_Categories : production_type_code (text) , product_type_description (number) , vat_rating (text) | Products : product_id (text) , parent_product_id (number) , production_type_code (text) , unit_price (text) , product_name (text) , product_color (text) , product_size (text) | Financial_Transactions : transaction_id (text) , account_id (number) , invoice_number (text) , transaction_type (text) , transaction_date (text) , transaction_amount (text) , transaction_comment (text) , other_transaction_details (text) | Order_Items : order_item_id (text) , order_id (number) , product_id (text) , product_quantity (text) , other_order_item_details (text) | Invoice_Line_Items : order_item_id (text) , invoice_number (number) , product_id (text) , product_title (text) , product_quantity (text) , product_price (text) , derived_product_cost (text) , derived_vat_payable (text) , derived_total_cost (text); | [Primary Keys]: customers : customer_id, orders : order_id, invoices : invoice_number, accounts : account_id, product_categories : production_type_code, products : product_id, financial_transactions : order_item_id | [Foreign Keys]: orders : customer_id = customers : customer_id | invoices : order_id = orders : order_id | accounts : customer_id = customers : customer_id | products : production_type_code = product_categories : production_type_code | financial_transactions : account_id = accounts : account_id | financial_transactions : invoice_number = invoices : invoice_number | order_items : order_id = orders : order_id | order_items : product_id = products : product_id | invoice_line_items : product_id = products : product_id | invoice_line_items : invoice_number = invoices : invoice_number | invoice_line_items : order_item_id = order_items : order_item_id |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | customers_and_invoices | Customers : customer_id (text) , customer_first_name (number) , customer_middle_initial (text) , customer_last_name (text) , gender (text) , email_address (text) , login_name (text) , login_password (text) , phone_number (text) , town_city (text) , state_county_province (text) , country (text) | Orders : order_id (text) , customer_id (number) , date_order_placed (text) , order_details (text) | Invoices : invoice_number (text) , order_id (number) , invoice_date (text) | Accounts : account_id (text) , customer_id (number) , date_account_opened (text) , account_name (text) , other_account_details (text) | Product_Categories : production_type_code (text) , product_type_description (number) , vat_rating (text) | Products : product_id (text) , parent_product_id (number) , production_type_code (text) , unit_price (text) , product_name (text) , product_color (text) , product_size (text) | Financial_Transactions : transaction_id (text) , account_id (number) , invoice_number (text) , transaction_type (text) , transaction_date (text) , transaction_amount (text) , transaction_comment (text) , other_transaction_details (text) | Order_Items : order_item_id (text) , order_id (number) , product_id (text) , product_quantity (text) , other_order_item_details (text) | Invoice_Line_Items : order_item_id (text) , invoice_number (number) , product_id (text) , product_title (text) , product_quantity (text) , product_price (text) , derived_product_cost (text) , derived_vat_payable (text) , derived_total_cost (text);</schema>"
<primary_keys>[Primary Keys]: customers : customer_id, orders : order_id, invoices : invoice_number, accounts : account_id, product_categories : production_type_code, products : product_id, financial_transactions : order_item_id</primary_keys>"
<foreign_keys>[Foreign Keys]: orders : customer_id = customers : customer_id | invoices : order_id = orders : order_id | accounts : customer_id = customers : customer_id | products : production_type_code = product_categories : production_type_code | financial_transactions : account_id = accounts : account_id | financial_transactions : invoice_number = invoices : invoice_number | order_items : order_id = orders : order_id | order_items : product_id = products : product_id | invoice_line_items : product_id = products : product_id | invoice_line_items : invoice_number = invoices : invoice_number | invoice_line_items : order_item_id = order_items : order_item_id</foreign_keys>"
Answer the following question with a SQL Statement:<question>What is the average, minimum, maximum, and total transaction amount?</question>
[SQL]:
| <SQL_QUERY>SELECT avg(transaction_amount) , min(transaction_amount) , max(transaction_amount) , sum(transaction_amount) FROM Financial_transactions</SQL_QUERY> | customers_and_invoices | SELECT avg(transaction_amount) , min(transaction_amount) , max(transaction_amount) , sum(transaction_amount) FROM Financial_transactions | What is the average, minimum, maximum, and total transaction amount? | [Schema (values) (types)]: | customers_and_invoices | Customers : customer_id (text) , customer_first_name (number) , customer_middle_initial (text) , customer_last_name (text) , gender (text) , email_address (text) , login_name (text) , login_password (text) , phone_number (text) , town_city (text) , state_county_province (text) , country (text) | Orders : order_id (text) , customer_id (number) , date_order_placed (text) , order_details (text) | Invoices : invoice_number (text) , order_id (number) , invoice_date (text) | Accounts : account_id (text) , customer_id (number) , date_account_opened (text) , account_name (text) , other_account_details (text) | Product_Categories : production_type_code (text) , product_type_description (number) , vat_rating (text) | Products : product_id (text) , parent_product_id (number) , production_type_code (text) , unit_price (text) , product_name (text) , product_color (text) , product_size (text) | Financial_Transactions : transaction_id (text) , account_id (number) , invoice_number (text) , transaction_type (text) , transaction_date (text) , transaction_amount (text) , transaction_comment (text) , other_transaction_details (text) | Order_Items : order_item_id (text) , order_id (number) , product_id (text) , product_quantity (text) , other_order_item_details (text) | Invoice_Line_Items : order_item_id (text) , invoice_number (number) , product_id (text) , product_title (text) , product_quantity (text) , product_price (text) , derived_product_cost (text) , derived_vat_payable (text) , derived_total_cost (text); | [Primary Keys]: customers : customer_id, orders : order_id, invoices : invoice_number, accounts : account_id, product_categories : production_type_code, products : product_id, financial_transactions : order_item_id | [Foreign Keys]: orders : customer_id = customers : customer_id | invoices : order_id = orders : order_id | accounts : customer_id = customers : customer_id | products : production_type_code = product_categories : production_type_code | financial_transactions : account_id = accounts : account_id | financial_transactions : invoice_number = invoices : invoice_number | order_items : order_id = orders : order_id | order_items : product_id = products : product_id | invoice_line_items : product_id = products : product_id | invoice_line_items : invoice_number = invoices : invoice_number | invoice_line_items : order_item_id = order_items : order_item_id |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | customers_and_invoices | Customers : customer_id (text) , customer_first_name (number) , customer_middle_initial (text) , customer_last_name (text) , gender (text) , email_address (text) , login_name (text) , login_password (text) , phone_number (text) , town_city (text) , state_county_province (text) , country (text) | Orders : order_id (text) , customer_id (number) , date_order_placed (text) , order_details (text) | Invoices : invoice_number (text) , order_id (number) , invoice_date (text) | Accounts : account_id (text) , customer_id (number) , date_account_opened (text) , account_name (text) , other_account_details (text) | Product_Categories : production_type_code (text) , product_type_description (number) , vat_rating (text) | Products : product_id (text) , parent_product_id (number) , production_type_code (text) , unit_price (text) , product_name (text) , product_color (text) , product_size (text) | Financial_Transactions : transaction_id (text) , account_id (number) , invoice_number (text) , transaction_type (text) , transaction_date (text) , transaction_amount (text) , transaction_comment (text) , other_transaction_details (text) | Order_Items : order_item_id (text) , order_id (number) , product_id (text) , product_quantity (text) , other_order_item_details (text) | Invoice_Line_Items : order_item_id (text) , invoice_number (number) , product_id (text) , product_title (text) , product_quantity (text) , product_price (text) , derived_product_cost (text) , derived_vat_payable (text) , derived_total_cost (text);</schema>"
<primary_keys>[Primary Keys]: customers : customer_id, orders : order_id, invoices : invoice_number, accounts : account_id, product_categories : production_type_code, products : product_id, financial_transactions : order_item_id</primary_keys>"
<foreign_keys>[Foreign Keys]: orders : customer_id = customers : customer_id | invoices : order_id = orders : order_id | accounts : customer_id = customers : customer_id | products : production_type_code = product_categories : production_type_code | financial_transactions : account_id = accounts : account_id | financial_transactions : invoice_number = invoices : invoice_number | order_items : order_id = orders : order_id | order_items : product_id = products : product_id | invoice_line_items : product_id = products : product_id | invoice_line_items : invoice_number = invoices : invoice_number | invoice_line_items : order_item_id = order_items : order_item_id</foreign_keys>"
Answer the following question with a SQL Statement:<question>Return the average, minimum, maximum, and total transaction amounts.</question>
[SQL]:
| <SQL_QUERY>SELECT avg(transaction_amount) , min(transaction_amount) , max(transaction_amount) , sum(transaction_amount) FROM Financial_transactions</SQL_QUERY> | customers_and_invoices | SELECT avg(transaction_amount) , min(transaction_amount) , max(transaction_amount) , sum(transaction_amount) FROM Financial_transactions | Return the average, minimum, maximum, and total transaction amounts. | [Schema (values) (types)]: | customers_and_invoices | Customers : customer_id (text) , customer_first_name (number) , customer_middle_initial (text) , customer_last_name (text) , gender (text) , email_address (text) , login_name (text) , login_password (text) , phone_number (text) , town_city (text) , state_county_province (text) , country (text) | Orders : order_id (text) , customer_id (number) , date_order_placed (text) , order_details (text) | Invoices : invoice_number (text) , order_id (number) , invoice_date (text) | Accounts : account_id (text) , customer_id (number) , date_account_opened (text) , account_name (text) , other_account_details (text) | Product_Categories : production_type_code (text) , product_type_description (number) , vat_rating (text) | Products : product_id (text) , parent_product_id (number) , production_type_code (text) , unit_price (text) , product_name (text) , product_color (text) , product_size (text) | Financial_Transactions : transaction_id (text) , account_id (number) , invoice_number (text) , transaction_type (text) , transaction_date (text) , transaction_amount (text) , transaction_comment (text) , other_transaction_details (text) | Order_Items : order_item_id (text) , order_id (number) , product_id (text) , product_quantity (text) , other_order_item_details (text) | Invoice_Line_Items : order_item_id (text) , invoice_number (number) , product_id (text) , product_title (text) , product_quantity (text) , product_price (text) , derived_product_cost (text) , derived_vat_payable (text) , derived_total_cost (text); | [Primary Keys]: customers : customer_id, orders : order_id, invoices : invoice_number, accounts : account_id, product_categories : production_type_code, products : product_id, financial_transactions : order_item_id | [Foreign Keys]: orders : customer_id = customers : customer_id | invoices : order_id = orders : order_id | accounts : customer_id = customers : customer_id | products : production_type_code = product_categories : production_type_code | financial_transactions : account_id = accounts : account_id | financial_transactions : invoice_number = invoices : invoice_number | order_items : order_id = orders : order_id | order_items : product_id = products : product_id | invoice_line_items : product_id = products : product_id | invoice_line_items : invoice_number = invoices : invoice_number | invoice_line_items : order_item_id = order_items : order_item_id |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | customers_and_invoices | Customers : customer_id (text) , customer_first_name (number) , customer_middle_initial (text) , customer_last_name (text) , gender (text) , email_address (text) , login_name (text) , login_password (text) , phone_number (text) , town_city (text) , state_county_province (text) , country (text) | Orders : order_id (text) , customer_id (number) , date_order_placed (text) , order_details (text) | Invoices : invoice_number (text) , order_id (number) , invoice_date (text) | Accounts : account_id (text) , customer_id (number) , date_account_opened (text) , account_name (text) , other_account_details (text) | Product_Categories : production_type_code (text) , product_type_description (number) , vat_rating (text) | Products : product_id (text) , parent_product_id (number) , production_type_code (text) , unit_price (text) , product_name (text) , product_color (text) , product_size (text) | Financial_Transactions : transaction_id (text) , account_id (number) , invoice_number (text) , transaction_type (text) , transaction_date (text) , transaction_amount (text) , transaction_comment (text) , other_transaction_details (text) | Order_Items : order_item_id (text) , order_id (number) , product_id (text) , product_quantity (text) , other_order_item_details (text) | Invoice_Line_Items : order_item_id (text) , invoice_number (number) , product_id (text) , product_title (text) , product_quantity (text) , product_price (text) , derived_product_cost (text) , derived_vat_payable (text) , derived_total_cost (text);</schema>"
<primary_keys>[Primary Keys]: customers : customer_id, orders : order_id, invoices : invoice_number, accounts : account_id, product_categories : production_type_code, products : product_id, financial_transactions : order_item_id</primary_keys>"
<foreign_keys>[Foreign Keys]: orders : customer_id = customers : customer_id | invoices : order_id = orders : order_id | accounts : customer_id = customers : customer_id | products : production_type_code = product_categories : production_type_code | financial_transactions : account_id = accounts : account_id | financial_transactions : invoice_number = invoices : invoice_number | order_items : order_id = orders : order_id | order_items : product_id = products : product_id | invoice_line_items : product_id = products : product_id | invoice_line_items : invoice_number = invoices : invoice_number | invoice_line_items : order_item_id = order_items : order_item_id</foreign_keys>"
Answer the following question with a SQL Statement:<question>Show ids for all transactions whose amounts are greater than the average.</question>
[SQL]:
| <SQL_QUERY>SELECT transaction_id FROM Financial_transactions WHERE transaction_amount > (SELECT avg(transaction_amount) FROM Financial_transactions)</SQL_QUERY> | customers_and_invoices | SELECT transaction_id FROM Financial_transactions WHERE transaction_amount > (SELECT avg(transaction_amount) FROM Financial_transactions) | Show ids for all transactions whose amounts are greater than the average. | [Schema (values) (types)]: | customers_and_invoices | Customers : customer_id (text) , customer_first_name (number) , customer_middle_initial (text) , customer_last_name (text) , gender (text) , email_address (text) , login_name (text) , login_password (text) , phone_number (text) , town_city (text) , state_county_province (text) , country (text) | Orders : order_id (text) , customer_id (number) , date_order_placed (text) , order_details (text) | Invoices : invoice_number (text) , order_id (number) , invoice_date (text) | Accounts : account_id (text) , customer_id (number) , date_account_opened (text) , account_name (text) , other_account_details (text) | Product_Categories : production_type_code (text) , product_type_description (number) , vat_rating (text) | Products : product_id (text) , parent_product_id (number) , production_type_code (text) , unit_price (text) , product_name (text) , product_color (text) , product_size (text) | Financial_Transactions : transaction_id (text) , account_id (number) , invoice_number (text) , transaction_type (text) , transaction_date (text) , transaction_amount (text) , transaction_comment (text) , other_transaction_details (text) | Order_Items : order_item_id (text) , order_id (number) , product_id (text) , product_quantity (text) , other_order_item_details (text) | Invoice_Line_Items : order_item_id (text) , invoice_number (number) , product_id (text) , product_title (text) , product_quantity (text) , product_price (text) , derived_product_cost (text) , derived_vat_payable (text) , derived_total_cost (text); | [Primary Keys]: customers : customer_id, orders : order_id, invoices : invoice_number, accounts : account_id, product_categories : production_type_code, products : product_id, financial_transactions : order_item_id | [Foreign Keys]: orders : customer_id = customers : customer_id | invoices : order_id = orders : order_id | accounts : customer_id = customers : customer_id | products : production_type_code = product_categories : production_type_code | financial_transactions : account_id = accounts : account_id | financial_transactions : invoice_number = invoices : invoice_number | order_items : order_id = orders : order_id | order_items : product_id = products : product_id | invoice_line_items : product_id = products : product_id | invoice_line_items : invoice_number = invoices : invoice_number | invoice_line_items : order_item_id = order_items : order_item_id |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | customers_and_invoices | Customers : customer_id (text) , customer_first_name (number) , customer_middle_initial (text) , customer_last_name (text) , gender (text) , email_address (text) , login_name (text) , login_password (text) , phone_number (text) , town_city (text) , state_county_province (text) , country (text) | Orders : order_id (text) , customer_id (number) , date_order_placed (text) , order_details (text) | Invoices : invoice_number (text) , order_id (number) , invoice_date (text) | Accounts : account_id (text) , customer_id (number) , date_account_opened (text) , account_name (text) , other_account_details (text) | Product_Categories : production_type_code (text) , product_type_description (number) , vat_rating (text) | Products : product_id (text) , parent_product_id (number) , production_type_code (text) , unit_price (text) , product_name (text) , product_color (text) , product_size (text) | Financial_Transactions : transaction_id (text) , account_id (number) , invoice_number (text) , transaction_type (text) , transaction_date (text) , transaction_amount (text) , transaction_comment (text) , other_transaction_details (text) | Order_Items : order_item_id (text) , order_id (number) , product_id (text) , product_quantity (text) , other_order_item_details (text) | Invoice_Line_Items : order_item_id (text) , invoice_number (number) , product_id (text) , product_title (text) , product_quantity (text) , product_price (text) , derived_product_cost (text) , derived_vat_payable (text) , derived_total_cost (text);</schema>"
<primary_keys>[Primary Keys]: customers : customer_id, orders : order_id, invoices : invoice_number, accounts : account_id, product_categories : production_type_code, products : product_id, financial_transactions : order_item_id</primary_keys>"
<foreign_keys>[Foreign Keys]: orders : customer_id = customers : customer_id | invoices : order_id = orders : order_id | accounts : customer_id = customers : customer_id | products : production_type_code = product_categories : production_type_code | financial_transactions : account_id = accounts : account_id | financial_transactions : invoice_number = invoices : invoice_number | order_items : order_id = orders : order_id | order_items : product_id = products : product_id | invoice_line_items : product_id = products : product_id | invoice_line_items : invoice_number = invoices : invoice_number | invoice_line_items : order_item_id = order_items : order_item_id</foreign_keys>"
Answer the following question with a SQL Statement:<question>What are the ids for transactions that have an amount greater than the average amount of a transaction?</question>
[SQL]:
| <SQL_QUERY>SELECT transaction_id FROM Financial_transactions WHERE transaction_amount > (SELECT avg(transaction_amount) FROM Financial_transactions)</SQL_QUERY> | customers_and_invoices | SELECT transaction_id FROM Financial_transactions WHERE transaction_amount > (SELECT avg(transaction_amount) FROM Financial_transactions) | What are the ids for transactions that have an amount greater than the average amount of a transaction? | [Schema (values) (types)]: | customers_and_invoices | Customers : customer_id (text) , customer_first_name (number) , customer_middle_initial (text) , customer_last_name (text) , gender (text) , email_address (text) , login_name (text) , login_password (text) , phone_number (text) , town_city (text) , state_county_province (text) , country (text) | Orders : order_id (text) , customer_id (number) , date_order_placed (text) , order_details (text) | Invoices : invoice_number (text) , order_id (number) , invoice_date (text) | Accounts : account_id (text) , customer_id (number) , date_account_opened (text) , account_name (text) , other_account_details (text) | Product_Categories : production_type_code (text) , product_type_description (number) , vat_rating (text) | Products : product_id (text) , parent_product_id (number) , production_type_code (text) , unit_price (text) , product_name (text) , product_color (text) , product_size (text) | Financial_Transactions : transaction_id (text) , account_id (number) , invoice_number (text) , transaction_type (text) , transaction_date (text) , transaction_amount (text) , transaction_comment (text) , other_transaction_details (text) | Order_Items : order_item_id (text) , order_id (number) , product_id (text) , product_quantity (text) , other_order_item_details (text) | Invoice_Line_Items : order_item_id (text) , invoice_number (number) , product_id (text) , product_title (text) , product_quantity (text) , product_price (text) , derived_product_cost (text) , derived_vat_payable (text) , derived_total_cost (text); | [Primary Keys]: customers : customer_id, orders : order_id, invoices : invoice_number, accounts : account_id, product_categories : production_type_code, products : product_id, financial_transactions : order_item_id | [Foreign Keys]: orders : customer_id = customers : customer_id | invoices : order_id = orders : order_id | accounts : customer_id = customers : customer_id | products : production_type_code = product_categories : production_type_code | financial_transactions : account_id = accounts : account_id | financial_transactions : invoice_number = invoices : invoice_number | order_items : order_id = orders : order_id | order_items : product_id = products : product_id | invoice_line_items : product_id = products : product_id | invoice_line_items : invoice_number = invoices : invoice_number | invoice_line_items : order_item_id = order_items : order_item_id |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | customers_and_invoices | Customers : customer_id (text) , customer_first_name (number) , customer_middle_initial (text) , customer_last_name (text) , gender (text) , email_address (text) , login_name (text) , login_password (text) , phone_number (text) , town_city (text) , state_county_province (text) , country (text) | Orders : order_id (text) , customer_id (number) , date_order_placed (text) , order_details (text) | Invoices : invoice_number (text) , order_id (number) , invoice_date (text) | Accounts : account_id (text) , customer_id (number) , date_account_opened (text) , account_name (text) , other_account_details (text) | Product_Categories : production_type_code (text) , product_type_description (number) , vat_rating (text) | Products : product_id (text) , parent_product_id (number) , production_type_code (text) , unit_price (text) , product_name (text) , product_color (text) , product_size (text) | Financial_Transactions : transaction_id (text) , account_id (number) , invoice_number (text) , transaction_type (text) , transaction_date (text) , transaction_amount (text) , transaction_comment (text) , other_transaction_details (text) | Order_Items : order_item_id (text) , order_id (number) , product_id (text) , product_quantity (text) , other_order_item_details (text) | Invoice_Line_Items : order_item_id (text) , invoice_number (number) , product_id (text) , product_title (text) , product_quantity (text) , product_price (text) , derived_product_cost (text) , derived_vat_payable (text) , derived_total_cost (text);</schema>"
<primary_keys>[Primary Keys]: customers : customer_id, orders : order_id, invoices : invoice_number, accounts : account_id, product_categories : production_type_code, products : product_id, financial_transactions : order_item_id</primary_keys>"
<foreign_keys>[Foreign Keys]: orders : customer_id = customers : customer_id | invoices : order_id = orders : order_id | accounts : customer_id = customers : customer_id | products : production_type_code = product_categories : production_type_code | financial_transactions : account_id = accounts : account_id | financial_transactions : invoice_number = invoices : invoice_number | order_items : order_id = orders : order_id | order_items : product_id = products : product_id | invoice_line_items : product_id = products : product_id | invoice_line_items : invoice_number = invoices : invoice_number | invoice_line_items : order_item_id = order_items : order_item_id</foreign_keys>"
Answer the following question with a SQL Statement:<question>Show the transaction types and the total amount of transactions.</question>
[SQL]:
| <SQL_QUERY>SELECT transaction_type , sum(transaction_amount) FROM Financial_transactions GROUP BY transaction_type</SQL_QUERY> | customers_and_invoices | SELECT transaction_type , sum(transaction_amount) FROM Financial_transactions GROUP BY transaction_type | Show the transaction types and the total amount of transactions. | [Schema (values) (types)]: | customers_and_invoices | Customers : customer_id (text) , customer_first_name (number) , customer_middle_initial (text) , customer_last_name (text) , gender (text) , email_address (text) , login_name (text) , login_password (text) , phone_number (text) , town_city (text) , state_county_province (text) , country (text) | Orders : order_id (text) , customer_id (number) , date_order_placed (text) , order_details (text) | Invoices : invoice_number (text) , order_id (number) , invoice_date (text) | Accounts : account_id (text) , customer_id (number) , date_account_opened (text) , account_name (text) , other_account_details (text) | Product_Categories : production_type_code (text) , product_type_description (number) , vat_rating (text) | Products : product_id (text) , parent_product_id (number) , production_type_code (text) , unit_price (text) , product_name (text) , product_color (text) , product_size (text) | Financial_Transactions : transaction_id (text) , account_id (number) , invoice_number (text) , transaction_type (text) , transaction_date (text) , transaction_amount (text) , transaction_comment (text) , other_transaction_details (text) | Order_Items : order_item_id (text) , order_id (number) , product_id (text) , product_quantity (text) , other_order_item_details (text) | Invoice_Line_Items : order_item_id (text) , invoice_number (number) , product_id (text) , product_title (text) , product_quantity (text) , product_price (text) , derived_product_cost (text) , derived_vat_payable (text) , derived_total_cost (text); | [Primary Keys]: customers : customer_id, orders : order_id, invoices : invoice_number, accounts : account_id, product_categories : production_type_code, products : product_id, financial_transactions : order_item_id | [Foreign Keys]: orders : customer_id = customers : customer_id | invoices : order_id = orders : order_id | accounts : customer_id = customers : customer_id | products : production_type_code = product_categories : production_type_code | financial_transactions : account_id = accounts : account_id | financial_transactions : invoice_number = invoices : invoice_number | order_items : order_id = orders : order_id | order_items : product_id = products : product_id | invoice_line_items : product_id = products : product_id | invoice_line_items : invoice_number = invoices : invoice_number | invoice_line_items : order_item_id = order_items : order_item_id |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | customers_and_invoices | Customers : customer_id (text) , customer_first_name (number) , customer_middle_initial (text) , customer_last_name (text) , gender (text) , email_address (text) , login_name (text) , login_password (text) , phone_number (text) , town_city (text) , state_county_province (text) , country (text) | Orders : order_id (text) , customer_id (number) , date_order_placed (text) , order_details (text) | Invoices : invoice_number (text) , order_id (number) , invoice_date (text) | Accounts : account_id (text) , customer_id (number) , date_account_opened (text) , account_name (text) , other_account_details (text) | Product_Categories : production_type_code (text) , product_type_description (number) , vat_rating (text) | Products : product_id (text) , parent_product_id (number) , production_type_code (text) , unit_price (text) , product_name (text) , product_color (text) , product_size (text) | Financial_Transactions : transaction_id (text) , account_id (number) , invoice_number (text) , transaction_type (text) , transaction_date (text) , transaction_amount (text) , transaction_comment (text) , other_transaction_details (text) | Order_Items : order_item_id (text) , order_id (number) , product_id (text) , product_quantity (text) , other_order_item_details (text) | Invoice_Line_Items : order_item_id (text) , invoice_number (number) , product_id (text) , product_title (text) , product_quantity (text) , product_price (text) , derived_product_cost (text) , derived_vat_payable (text) , derived_total_cost (text);</schema>"
<primary_keys>[Primary Keys]: customers : customer_id, orders : order_id, invoices : invoice_number, accounts : account_id, product_categories : production_type_code, products : product_id, financial_transactions : order_item_id</primary_keys>"
<foreign_keys>[Foreign Keys]: orders : customer_id = customers : customer_id | invoices : order_id = orders : order_id | accounts : customer_id = customers : customer_id | products : production_type_code = product_categories : production_type_code | financial_transactions : account_id = accounts : account_id | financial_transactions : invoice_number = invoices : invoice_number | order_items : order_id = orders : order_id | order_items : product_id = products : product_id | invoice_line_items : product_id = products : product_id | invoice_line_items : invoice_number = invoices : invoice_number | invoice_line_items : order_item_id = order_items : order_item_id</foreign_keys>"
Answer the following question with a SQL Statement:<question>What are total transaction amounts for each transaction type?</question>
[SQL]:
| <SQL_QUERY>SELECT transaction_type , sum(transaction_amount) FROM Financial_transactions GROUP BY transaction_type</SQL_QUERY> | customers_and_invoices | SELECT transaction_type , sum(transaction_amount) FROM Financial_transactions GROUP BY transaction_type | What are total transaction amounts for each transaction type? | [Schema (values) (types)]: | customers_and_invoices | Customers : customer_id (text) , customer_first_name (number) , customer_middle_initial (text) , customer_last_name (text) , gender (text) , email_address (text) , login_name (text) , login_password (text) , phone_number (text) , town_city (text) , state_county_province (text) , country (text) | Orders : order_id (text) , customer_id (number) , date_order_placed (text) , order_details (text) | Invoices : invoice_number (text) , order_id (number) , invoice_date (text) | Accounts : account_id (text) , customer_id (number) , date_account_opened (text) , account_name (text) , other_account_details (text) | Product_Categories : production_type_code (text) , product_type_description (number) , vat_rating (text) | Products : product_id (text) , parent_product_id (number) , production_type_code (text) , unit_price (text) , product_name (text) , product_color (text) , product_size (text) | Financial_Transactions : transaction_id (text) , account_id (number) , invoice_number (text) , transaction_type (text) , transaction_date (text) , transaction_amount (text) , transaction_comment (text) , other_transaction_details (text) | Order_Items : order_item_id (text) , order_id (number) , product_id (text) , product_quantity (text) , other_order_item_details (text) | Invoice_Line_Items : order_item_id (text) , invoice_number (number) , product_id (text) , product_title (text) , product_quantity (text) , product_price (text) , derived_product_cost (text) , derived_vat_payable (text) , derived_total_cost (text); | [Primary Keys]: customers : customer_id, orders : order_id, invoices : invoice_number, accounts : account_id, product_categories : production_type_code, products : product_id, financial_transactions : order_item_id | [Foreign Keys]: orders : customer_id = customers : customer_id | invoices : order_id = orders : order_id | accounts : customer_id = customers : customer_id | products : production_type_code = product_categories : production_type_code | financial_transactions : account_id = accounts : account_id | financial_transactions : invoice_number = invoices : invoice_number | order_items : order_id = orders : order_id | order_items : product_id = products : product_id | invoice_line_items : product_id = products : product_id | invoice_line_items : invoice_number = invoices : invoice_number | invoice_line_items : order_item_id = order_items : order_item_id |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | customers_and_invoices | Customers : customer_id (text) , customer_first_name (number) , customer_middle_initial (text) , customer_last_name (text) , gender (text) , email_address (text) , login_name (text) , login_password (text) , phone_number (text) , town_city (text) , state_county_province (text) , country (text) | Orders : order_id (text) , customer_id (number) , date_order_placed (text) , order_details (text) | Invoices : invoice_number (text) , order_id (number) , invoice_date (text) | Accounts : account_id (text) , customer_id (number) , date_account_opened (text) , account_name (text) , other_account_details (text) | Product_Categories : production_type_code (text) , product_type_description (number) , vat_rating (text) | Products : product_id (text) , parent_product_id (number) , production_type_code (text) , unit_price (text) , product_name (text) , product_color (text) , product_size (text) | Financial_Transactions : transaction_id (text) , account_id (number) , invoice_number (text) , transaction_type (text) , transaction_date (text) , transaction_amount (text) , transaction_comment (text) , other_transaction_details (text) | Order_Items : order_item_id (text) , order_id (number) , product_id (text) , product_quantity (text) , other_order_item_details (text) | Invoice_Line_Items : order_item_id (text) , invoice_number (number) , product_id (text) , product_title (text) , product_quantity (text) , product_price (text) , derived_product_cost (text) , derived_vat_payable (text) , derived_total_cost (text);</schema>"
<primary_keys>[Primary Keys]: customers : customer_id, orders : order_id, invoices : invoice_number, accounts : account_id, product_categories : production_type_code, products : product_id, financial_transactions : order_item_id</primary_keys>"
<foreign_keys>[Foreign Keys]: orders : customer_id = customers : customer_id | invoices : order_id = orders : order_id | accounts : customer_id = customers : customer_id | products : production_type_code = product_categories : production_type_code | financial_transactions : account_id = accounts : account_id | financial_transactions : invoice_number = invoices : invoice_number | order_items : order_id = orders : order_id | order_items : product_id = products : product_id | invoice_line_items : product_id = products : product_id | invoice_line_items : invoice_number = invoices : invoice_number | invoice_line_items : order_item_id = order_items : order_item_id</foreign_keys>"
Answer the following question with a SQL Statement:<question>Show the account name, id and the number of transactions for each account.</question>
[SQL]:
| <SQL_QUERY>SELECT T2.account_name , T1.account_id , count(*) FROM Financial_transactions AS T1 JOIN Accounts AS T2 ON T1.account_id = T2.account_id GROUP BY T1.account_id</SQL_QUERY> | customers_and_invoices | SELECT T2.account_name , T1.account_id , count(*) FROM Financial_transactions AS T1 JOIN Accounts AS T2 ON T1.account_id = T2.account_id GROUP BY T1.account_id | Show the account name, id and the number of transactions for each account. | [Schema (values) (types)]: | customers_and_invoices | Customers : customer_id (text) , customer_first_name (number) , customer_middle_initial (text) , customer_last_name (text) , gender (text) , email_address (text) , login_name (text) , login_password (text) , phone_number (text) , town_city (text) , state_county_province (text) , country (text) | Orders : order_id (text) , customer_id (number) , date_order_placed (text) , order_details (text) | Invoices : invoice_number (text) , order_id (number) , invoice_date (text) | Accounts : account_id (text) , customer_id (number) , date_account_opened (text) , account_name (text) , other_account_details (text) | Product_Categories : production_type_code (text) , product_type_description (number) , vat_rating (text) | Products : product_id (text) , parent_product_id (number) , production_type_code (text) , unit_price (text) , product_name (text) , product_color (text) , product_size (text) | Financial_Transactions : transaction_id (text) , account_id (number) , invoice_number (text) , transaction_type (text) , transaction_date (text) , transaction_amount (text) , transaction_comment (text) , other_transaction_details (text) | Order_Items : order_item_id (text) , order_id (number) , product_id (text) , product_quantity (text) , other_order_item_details (text) | Invoice_Line_Items : order_item_id (text) , invoice_number (number) , product_id (text) , product_title (text) , product_quantity (text) , product_price (text) , derived_product_cost (text) , derived_vat_payable (text) , derived_total_cost (text); | [Primary Keys]: customers : customer_id, orders : order_id, invoices : invoice_number, accounts : account_id, product_categories : production_type_code, products : product_id, financial_transactions : order_item_id | [Foreign Keys]: orders : customer_id = customers : customer_id | invoices : order_id = orders : order_id | accounts : customer_id = customers : customer_id | products : production_type_code = product_categories : production_type_code | financial_transactions : account_id = accounts : account_id | financial_transactions : invoice_number = invoices : invoice_number | order_items : order_id = orders : order_id | order_items : product_id = products : product_id | invoice_line_items : product_id = products : product_id | invoice_line_items : invoice_number = invoices : invoice_number | invoice_line_items : order_item_id = order_items : order_item_id |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | customers_and_invoices | Customers : customer_id (text) , customer_first_name (number) , customer_middle_initial (text) , customer_last_name (text) , gender (text) , email_address (text) , login_name (text) , login_password (text) , phone_number (text) , town_city (text) , state_county_province (text) , country (text) | Orders : order_id (text) , customer_id (number) , date_order_placed (text) , order_details (text) | Invoices : invoice_number (text) , order_id (number) , invoice_date (text) | Accounts : account_id (text) , customer_id (number) , date_account_opened (text) , account_name (text) , other_account_details (text) | Product_Categories : production_type_code (text) , product_type_description (number) , vat_rating (text) | Products : product_id (text) , parent_product_id (number) , production_type_code (text) , unit_price (text) , product_name (text) , product_color (text) , product_size (text) | Financial_Transactions : transaction_id (text) , account_id (number) , invoice_number (text) , transaction_type (text) , transaction_date (text) , transaction_amount (text) , transaction_comment (text) , other_transaction_details (text) | Order_Items : order_item_id (text) , order_id (number) , product_id (text) , product_quantity (text) , other_order_item_details (text) | Invoice_Line_Items : order_item_id (text) , invoice_number (number) , product_id (text) , product_title (text) , product_quantity (text) , product_price (text) , derived_product_cost (text) , derived_vat_payable (text) , derived_total_cost (text);</schema>"
<primary_keys>[Primary Keys]: customers : customer_id, orders : order_id, invoices : invoice_number, accounts : account_id, product_categories : production_type_code, products : product_id, financial_transactions : order_item_id</primary_keys>"
<foreign_keys>[Foreign Keys]: orders : customer_id = customers : customer_id | invoices : order_id = orders : order_id | accounts : customer_id = customers : customer_id | products : production_type_code = product_categories : production_type_code | financial_transactions : account_id = accounts : account_id | financial_transactions : invoice_number = invoices : invoice_number | order_items : order_id = orders : order_id | order_items : product_id = products : product_id | invoice_line_items : product_id = products : product_id | invoice_line_items : invoice_number = invoices : invoice_number | invoice_line_items : order_item_id = order_items : order_item_id</foreign_keys>"
Answer the following question with a SQL Statement:<question>Return the names and ids of each account, as well as the number of transactions.</question>
[SQL]:
| <SQL_QUERY>SELECT T2.account_name , T1.account_id , count(*) FROM Financial_transactions AS T1 JOIN Accounts AS T2 ON T1.account_id = T2.account_id GROUP BY T1.account_id</SQL_QUERY> | customers_and_invoices | SELECT T2.account_name , T1.account_id , count(*) FROM Financial_transactions AS T1 JOIN Accounts AS T2 ON T1.account_id = T2.account_id GROUP BY T1.account_id | Return the names and ids of each account, as well as the number of transactions. | [Schema (values) (types)]: | customers_and_invoices | Customers : customer_id (text) , customer_first_name (number) , customer_middle_initial (text) , customer_last_name (text) , gender (text) , email_address (text) , login_name (text) , login_password (text) , phone_number (text) , town_city (text) , state_county_province (text) , country (text) | Orders : order_id (text) , customer_id (number) , date_order_placed (text) , order_details (text) | Invoices : invoice_number (text) , order_id (number) , invoice_date (text) | Accounts : account_id (text) , customer_id (number) , date_account_opened (text) , account_name (text) , other_account_details (text) | Product_Categories : production_type_code (text) , product_type_description (number) , vat_rating (text) | Products : product_id (text) , parent_product_id (number) , production_type_code (text) , unit_price (text) , product_name (text) , product_color (text) , product_size (text) | Financial_Transactions : transaction_id (text) , account_id (number) , invoice_number (text) , transaction_type (text) , transaction_date (text) , transaction_amount (text) , transaction_comment (text) , other_transaction_details (text) | Order_Items : order_item_id (text) , order_id (number) , product_id (text) , product_quantity (text) , other_order_item_details (text) | Invoice_Line_Items : order_item_id (text) , invoice_number (number) , product_id (text) , product_title (text) , product_quantity (text) , product_price (text) , derived_product_cost (text) , derived_vat_payable (text) , derived_total_cost (text); | [Primary Keys]: customers : customer_id, orders : order_id, invoices : invoice_number, accounts : account_id, product_categories : production_type_code, products : product_id, financial_transactions : order_item_id | [Foreign Keys]: orders : customer_id = customers : customer_id | invoices : order_id = orders : order_id | accounts : customer_id = customers : customer_id | products : production_type_code = product_categories : production_type_code | financial_transactions : account_id = accounts : account_id | financial_transactions : invoice_number = invoices : invoice_number | order_items : order_id = orders : order_id | order_items : product_id = products : product_id | invoice_line_items : product_id = products : product_id | invoice_line_items : invoice_number = invoices : invoice_number | invoice_line_items : order_item_id = order_items : order_item_id |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | customers_and_invoices | Customers : customer_id (text) , customer_first_name (number) , customer_middle_initial (text) , customer_last_name (text) , gender (text) , email_address (text) , login_name (text) , login_password (text) , phone_number (text) , town_city (text) , state_county_province (text) , country (text) | Orders : order_id (text) , customer_id (number) , date_order_placed (text) , order_details (text) | Invoices : invoice_number (text) , order_id (number) , invoice_date (text) | Accounts : account_id (text) , customer_id (number) , date_account_opened (text) , account_name (text) , other_account_details (text) | Product_Categories : production_type_code (text) , product_type_description (number) , vat_rating (text) | Products : product_id (text) , parent_product_id (number) , production_type_code (text) , unit_price (text) , product_name (text) , product_color (text) , product_size (text) | Financial_Transactions : transaction_id (text) , account_id (number) , invoice_number (text) , transaction_type (text) , transaction_date (text) , transaction_amount (text) , transaction_comment (text) , other_transaction_details (text) | Order_Items : order_item_id (text) , order_id (number) , product_id (text) , product_quantity (text) , other_order_item_details (text) | Invoice_Line_Items : order_item_id (text) , invoice_number (number) , product_id (text) , product_title (text) , product_quantity (text) , product_price (text) , derived_product_cost (text) , derived_vat_payable (text) , derived_total_cost (text);</schema>"
<primary_keys>[Primary Keys]: customers : customer_id, orders : order_id, invoices : invoice_number, accounts : account_id, product_categories : production_type_code, products : product_id, financial_transactions : order_item_id</primary_keys>"
<foreign_keys>[Foreign Keys]: orders : customer_id = customers : customer_id | invoices : order_id = orders : order_id | accounts : customer_id = customers : customer_id | products : production_type_code = product_categories : production_type_code | financial_transactions : account_id = accounts : account_id | financial_transactions : invoice_number = invoices : invoice_number | order_items : order_id = orders : order_id | order_items : product_id = products : product_id | invoice_line_items : product_id = products : product_id | invoice_line_items : invoice_number = invoices : invoice_number | invoice_line_items : order_item_id = order_items : order_item_id</foreign_keys>"
Answer the following question with a SQL Statement:<question>Show the account id with most number of transactions.</question>
[SQL]:
| <SQL_QUERY>SELECT account_id FROM Financial_transactions GROUP BY account_id ORDER BY count(*) DESC LIMIT 1</SQL_QUERY> | customers_and_invoices | SELECT account_id FROM Financial_transactions GROUP BY account_id ORDER BY count(*) DESC LIMIT 1 | Show the account id with most number of transactions. | [Schema (values) (types)]: | customers_and_invoices | Customers : customer_id (text) , customer_first_name (number) , customer_middle_initial (text) , customer_last_name (text) , gender (text) , email_address (text) , login_name (text) , login_password (text) , phone_number (text) , town_city (text) , state_county_province (text) , country (text) | Orders : order_id (text) , customer_id (number) , date_order_placed (text) , order_details (text) | Invoices : invoice_number (text) , order_id (number) , invoice_date (text) | Accounts : account_id (text) , customer_id (number) , date_account_opened (text) , account_name (text) , other_account_details (text) | Product_Categories : production_type_code (text) , product_type_description (number) , vat_rating (text) | Products : product_id (text) , parent_product_id (number) , production_type_code (text) , unit_price (text) , product_name (text) , product_color (text) , product_size (text) | Financial_Transactions : transaction_id (text) , account_id (number) , invoice_number (text) , transaction_type (text) , transaction_date (text) , transaction_amount (text) , transaction_comment (text) , other_transaction_details (text) | Order_Items : order_item_id (text) , order_id (number) , product_id (text) , product_quantity (text) , other_order_item_details (text) | Invoice_Line_Items : order_item_id (text) , invoice_number (number) , product_id (text) , product_title (text) , product_quantity (text) , product_price (text) , derived_product_cost (text) , derived_vat_payable (text) , derived_total_cost (text); | [Primary Keys]: customers : customer_id, orders : order_id, invoices : invoice_number, accounts : account_id, product_categories : production_type_code, products : product_id, financial_transactions : order_item_id | [Foreign Keys]: orders : customer_id = customers : customer_id | invoices : order_id = orders : order_id | accounts : customer_id = customers : customer_id | products : production_type_code = product_categories : production_type_code | financial_transactions : account_id = accounts : account_id | financial_transactions : invoice_number = invoices : invoice_number | order_items : order_id = orders : order_id | order_items : product_id = products : product_id | invoice_line_items : product_id = products : product_id | invoice_line_items : invoice_number = invoices : invoice_number | invoice_line_items : order_item_id = order_items : order_item_id |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | customers_and_invoices | Customers : customer_id (text) , customer_first_name (number) , customer_middle_initial (text) , customer_last_name (text) , gender (text) , email_address (text) , login_name (text) , login_password (text) , phone_number (text) , town_city (text) , state_county_province (text) , country (text) | Orders : order_id (text) , customer_id (number) , date_order_placed (text) , order_details (text) | Invoices : invoice_number (text) , order_id (number) , invoice_date (text) | Accounts : account_id (text) , customer_id (number) , date_account_opened (text) , account_name (text) , other_account_details (text) | Product_Categories : production_type_code (text) , product_type_description (number) , vat_rating (text) | Products : product_id (text) , parent_product_id (number) , production_type_code (text) , unit_price (text) , product_name (text) , product_color (text) , product_size (text) | Financial_Transactions : transaction_id (text) , account_id (number) , invoice_number (text) , transaction_type (text) , transaction_date (text) , transaction_amount (text) , transaction_comment (text) , other_transaction_details (text) | Order_Items : order_item_id (text) , order_id (number) , product_id (text) , product_quantity (text) , other_order_item_details (text) | Invoice_Line_Items : order_item_id (text) , invoice_number (number) , product_id (text) , product_title (text) , product_quantity (text) , product_price (text) , derived_product_cost (text) , derived_vat_payable (text) , derived_total_cost (text);</schema>"
<primary_keys>[Primary Keys]: customers : customer_id, orders : order_id, invoices : invoice_number, accounts : account_id, product_categories : production_type_code, products : product_id, financial_transactions : order_item_id</primary_keys>"
<foreign_keys>[Foreign Keys]: orders : customer_id = customers : customer_id | invoices : order_id = orders : order_id | accounts : customer_id = customers : customer_id | products : production_type_code = product_categories : production_type_code | financial_transactions : account_id = accounts : account_id | financial_transactions : invoice_number = invoices : invoice_number | order_items : order_id = orders : order_id | order_items : product_id = products : product_id | invoice_line_items : product_id = products : product_id | invoice_line_items : invoice_number = invoices : invoice_number | invoice_line_items : order_item_id = order_items : order_item_id</foreign_keys>"
Answer the following question with a SQL Statement:<question>What is the id of the account with the most transactions?</question>
[SQL]:
| <SQL_QUERY>SELECT account_id FROM Financial_transactions GROUP BY account_id ORDER BY count(*) DESC LIMIT 1</SQL_QUERY> | customers_and_invoices | SELECT account_id FROM Financial_transactions GROUP BY account_id ORDER BY count(*) DESC LIMIT 1 | What is the id of the account with the most transactions? | [Schema (values) (types)]: | customers_and_invoices | Customers : customer_id (text) , customer_first_name (number) , customer_middle_initial (text) , customer_last_name (text) , gender (text) , email_address (text) , login_name (text) , login_password (text) , phone_number (text) , town_city (text) , state_county_province (text) , country (text) | Orders : order_id (text) , customer_id (number) , date_order_placed (text) , order_details (text) | Invoices : invoice_number (text) , order_id (number) , invoice_date (text) | Accounts : account_id (text) , customer_id (number) , date_account_opened (text) , account_name (text) , other_account_details (text) | Product_Categories : production_type_code (text) , product_type_description (number) , vat_rating (text) | Products : product_id (text) , parent_product_id (number) , production_type_code (text) , unit_price (text) , product_name (text) , product_color (text) , product_size (text) | Financial_Transactions : transaction_id (text) , account_id (number) , invoice_number (text) , transaction_type (text) , transaction_date (text) , transaction_amount (text) , transaction_comment (text) , other_transaction_details (text) | Order_Items : order_item_id (text) , order_id (number) , product_id (text) , product_quantity (text) , other_order_item_details (text) | Invoice_Line_Items : order_item_id (text) , invoice_number (number) , product_id (text) , product_title (text) , product_quantity (text) , product_price (text) , derived_product_cost (text) , derived_vat_payable (text) , derived_total_cost (text); | [Primary Keys]: customers : customer_id, orders : order_id, invoices : invoice_number, accounts : account_id, product_categories : production_type_code, products : product_id, financial_transactions : order_item_id | [Foreign Keys]: orders : customer_id = customers : customer_id | invoices : order_id = orders : order_id | accounts : customer_id = customers : customer_id | products : production_type_code = product_categories : production_type_code | financial_transactions : account_id = accounts : account_id | financial_transactions : invoice_number = invoices : invoice_number | order_items : order_id = orders : order_id | order_items : product_id = products : product_id | invoice_line_items : product_id = products : product_id | invoice_line_items : invoice_number = invoices : invoice_number | invoice_line_items : order_item_id = order_items : order_item_id |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | customers_and_invoices | Customers : customer_id (text) , customer_first_name (number) , customer_middle_initial (text) , customer_last_name (text) , gender (text) , email_address (text) , login_name (text) , login_password (text) , phone_number (text) , town_city (text) , state_county_province (text) , country (text) | Orders : order_id (text) , customer_id (number) , date_order_placed (text) , order_details (text) | Invoices : invoice_number (text) , order_id (number) , invoice_date (text) | Accounts : account_id (text) , customer_id (number) , date_account_opened (text) , account_name (text) , other_account_details (text) | Product_Categories : production_type_code (text) , product_type_description (number) , vat_rating (text) | Products : product_id (text) , parent_product_id (number) , production_type_code (text) , unit_price (text) , product_name (text) , product_color (text) , product_size (text) | Financial_Transactions : transaction_id (text) , account_id (number) , invoice_number (text) , transaction_type (text) , transaction_date (text) , transaction_amount (text) , transaction_comment (text) , other_transaction_details (text) | Order_Items : order_item_id (text) , order_id (number) , product_id (text) , product_quantity (text) , other_order_item_details (text) | Invoice_Line_Items : order_item_id (text) , invoice_number (number) , product_id (text) , product_title (text) , product_quantity (text) , product_price (text) , derived_product_cost (text) , derived_vat_payable (text) , derived_total_cost (text);</schema>"
<primary_keys>[Primary Keys]: customers : customer_id, orders : order_id, invoices : invoice_number, accounts : account_id, product_categories : production_type_code, products : product_id, financial_transactions : order_item_id</primary_keys>"
<foreign_keys>[Foreign Keys]: orders : customer_id = customers : customer_id | invoices : order_id = orders : order_id | accounts : customer_id = customers : customer_id | products : production_type_code = product_categories : production_type_code | financial_transactions : account_id = accounts : account_id | financial_transactions : invoice_number = invoices : invoice_number | order_items : order_id = orders : order_id | order_items : product_id = products : product_id | invoice_line_items : product_id = products : product_id | invoice_line_items : invoice_number = invoices : invoice_number | invoice_line_items : order_item_id = order_items : order_item_id</foreign_keys>"
Answer the following question with a SQL Statement:<question>Show the account id and name with at least 4 transactions.</question>
[SQL]:
| <SQL_QUERY>SELECT T1.account_id , T2.account_name FROM Financial_transactions AS T1 JOIN Accounts AS T2 ON T1.account_id = T2.account_id GROUP BY T1.account_id HAVING count(*) >= 4</SQL_QUERY> | customers_and_invoices | SELECT T1.account_id , T2.account_name FROM Financial_transactions AS T1 JOIN Accounts AS T2 ON T1.account_id = T2.account_id GROUP BY T1.account_id HAVING count(*) >= 4 | Show the account id and name with at least 4 transactions. | [Schema (values) (types)]: | customers_and_invoices | Customers : customer_id (text) , customer_first_name (number) , customer_middle_initial (text) , customer_last_name (text) , gender (text) , email_address (text) , login_name (text) , login_password (text) , phone_number (text) , town_city (text) , state_county_province (text) , country (text) | Orders : order_id (text) , customer_id (number) , date_order_placed (text) , order_details (text) | Invoices : invoice_number (text) , order_id (number) , invoice_date (text) | Accounts : account_id (text) , customer_id (number) , date_account_opened (text) , account_name (text) , other_account_details (text) | Product_Categories : production_type_code (text) , product_type_description (number) , vat_rating (text) | Products : product_id (text) , parent_product_id (number) , production_type_code (text) , unit_price (text) , product_name (text) , product_color (text) , product_size (text) | Financial_Transactions : transaction_id (text) , account_id (number) , invoice_number (text) , transaction_type (text) , transaction_date (text) , transaction_amount (text) , transaction_comment (text) , other_transaction_details (text) | Order_Items : order_item_id (text) , order_id (number) , product_id (text) , product_quantity (text) , other_order_item_details (text) | Invoice_Line_Items : order_item_id (text) , invoice_number (number) , product_id (text) , product_title (text) , product_quantity (text) , product_price (text) , derived_product_cost (text) , derived_vat_payable (text) , derived_total_cost (text); | [Primary Keys]: customers : customer_id, orders : order_id, invoices : invoice_number, accounts : account_id, product_categories : production_type_code, products : product_id, financial_transactions : order_item_id | [Foreign Keys]: orders : customer_id = customers : customer_id | invoices : order_id = orders : order_id | accounts : customer_id = customers : customer_id | products : production_type_code = product_categories : production_type_code | financial_transactions : account_id = accounts : account_id | financial_transactions : invoice_number = invoices : invoice_number | order_items : order_id = orders : order_id | order_items : product_id = products : product_id | invoice_line_items : product_id = products : product_id | invoice_line_items : invoice_number = invoices : invoice_number | invoice_line_items : order_item_id = order_items : order_item_id |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | customers_and_invoices | Customers : customer_id (text) , customer_first_name (number) , customer_middle_initial (text) , customer_last_name (text) , gender (text) , email_address (text) , login_name (text) , login_password (text) , phone_number (text) , town_city (text) , state_county_province (text) , country (text) | Orders : order_id (text) , customer_id (number) , date_order_placed (text) , order_details (text) | Invoices : invoice_number (text) , order_id (number) , invoice_date (text) | Accounts : account_id (text) , customer_id (number) , date_account_opened (text) , account_name (text) , other_account_details (text) | Product_Categories : production_type_code (text) , product_type_description (number) , vat_rating (text) | Products : product_id (text) , parent_product_id (number) , production_type_code (text) , unit_price (text) , product_name (text) , product_color (text) , product_size (text) | Financial_Transactions : transaction_id (text) , account_id (number) , invoice_number (text) , transaction_type (text) , transaction_date (text) , transaction_amount (text) , transaction_comment (text) , other_transaction_details (text) | Order_Items : order_item_id (text) , order_id (number) , product_id (text) , product_quantity (text) , other_order_item_details (text) | Invoice_Line_Items : order_item_id (text) , invoice_number (number) , product_id (text) , product_title (text) , product_quantity (text) , product_price (text) , derived_product_cost (text) , derived_vat_payable (text) , derived_total_cost (text);</schema>"
<primary_keys>[Primary Keys]: customers : customer_id, orders : order_id, invoices : invoice_number, accounts : account_id, product_categories : production_type_code, products : product_id, financial_transactions : order_item_id</primary_keys>"
<foreign_keys>[Foreign Keys]: orders : customer_id = customers : customer_id | invoices : order_id = orders : order_id | accounts : customer_id = customers : customer_id | products : production_type_code = product_categories : production_type_code | financial_transactions : account_id = accounts : account_id | financial_transactions : invoice_number = invoices : invoice_number | order_items : order_id = orders : order_id | order_items : product_id = products : product_id | invoice_line_items : product_id = products : product_id | invoice_line_items : invoice_number = invoices : invoice_number | invoice_line_items : order_item_id = order_items : order_item_id</foreign_keys>"
Answer the following question with a SQL Statement:<question>What are the ids and names of accounts with 4 or more transactions?</question>
[SQL]:
| <SQL_QUERY>SELECT T1.account_id , T2.account_name FROM Financial_transactions AS T1 JOIN Accounts AS T2 ON T1.account_id = T2.account_id GROUP BY T1.account_id HAVING count(*) >= 4</SQL_QUERY> | customers_and_invoices | SELECT T1.account_id , T2.account_name FROM Financial_transactions AS T1 JOIN Accounts AS T2 ON T1.account_id = T2.account_id GROUP BY T1.account_id HAVING count(*) >= 4 | What are the ids and names of accounts with 4 or more transactions? | [Schema (values) (types)]: | customers_and_invoices | Customers : customer_id (text) , customer_first_name (number) , customer_middle_initial (text) , customer_last_name (text) , gender (text) , email_address (text) , login_name (text) , login_password (text) , phone_number (text) , town_city (text) , state_county_province (text) , country (text) | Orders : order_id (text) , customer_id (number) , date_order_placed (text) , order_details (text) | Invoices : invoice_number (text) , order_id (number) , invoice_date (text) | Accounts : account_id (text) , customer_id (number) , date_account_opened (text) , account_name (text) , other_account_details (text) | Product_Categories : production_type_code (text) , product_type_description (number) , vat_rating (text) | Products : product_id (text) , parent_product_id (number) , production_type_code (text) , unit_price (text) , product_name (text) , product_color (text) , product_size (text) | Financial_Transactions : transaction_id (text) , account_id (number) , invoice_number (text) , transaction_type (text) , transaction_date (text) , transaction_amount (text) , transaction_comment (text) , other_transaction_details (text) | Order_Items : order_item_id (text) , order_id (number) , product_id (text) , product_quantity (text) , other_order_item_details (text) | Invoice_Line_Items : order_item_id (text) , invoice_number (number) , product_id (text) , product_title (text) , product_quantity (text) , product_price (text) , derived_product_cost (text) , derived_vat_payable (text) , derived_total_cost (text); | [Primary Keys]: customers : customer_id, orders : order_id, invoices : invoice_number, accounts : account_id, product_categories : production_type_code, products : product_id, financial_transactions : order_item_id | [Foreign Keys]: orders : customer_id = customers : customer_id | invoices : order_id = orders : order_id | accounts : customer_id = customers : customer_id | products : production_type_code = product_categories : production_type_code | financial_transactions : account_id = accounts : account_id | financial_transactions : invoice_number = invoices : invoice_number | order_items : order_id = orders : order_id | order_items : product_id = products : product_id | invoice_line_items : product_id = products : product_id | invoice_line_items : invoice_number = invoices : invoice_number | invoice_line_items : order_item_id = order_items : order_item_id |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | customers_and_invoices | Customers : customer_id (text) , customer_first_name (number) , customer_middle_initial (text) , customer_last_name (text) , gender (text) , email_address (text) , login_name (text) , login_password (text) , phone_number (text) , town_city (text) , state_county_province (text) , country (text) | Orders : order_id (text) , customer_id (number) , date_order_placed (text) , order_details (text) | Invoices : invoice_number (text) , order_id (number) , invoice_date (text) | Accounts : account_id (text) , customer_id (number) , date_account_opened (text) , account_name (text) , other_account_details (text) | Product_Categories : production_type_code (text) , product_type_description (number) , vat_rating (text) | Products : product_id (text) , parent_product_id (number) , production_type_code (text) , unit_price (text) , product_name (text) , product_color (text) , product_size (text) | Financial_Transactions : transaction_id (text) , account_id (number) , invoice_number (text) , transaction_type (text) , transaction_date (text) , transaction_amount (text) , transaction_comment (text) , other_transaction_details (text) | Order_Items : order_item_id (text) , order_id (number) , product_id (text) , product_quantity (text) , other_order_item_details (text) | Invoice_Line_Items : order_item_id (text) , invoice_number (number) , product_id (text) , product_title (text) , product_quantity (text) , product_price (text) , derived_product_cost (text) , derived_vat_payable (text) , derived_total_cost (text);</schema>"
<primary_keys>[Primary Keys]: customers : customer_id, orders : order_id, invoices : invoice_number, accounts : account_id, product_categories : production_type_code, products : product_id, financial_transactions : order_item_id</primary_keys>"
<foreign_keys>[Foreign Keys]: orders : customer_id = customers : customer_id | invoices : order_id = orders : order_id | accounts : customer_id = customers : customer_id | products : production_type_code = product_categories : production_type_code | financial_transactions : account_id = accounts : account_id | financial_transactions : invoice_number = invoices : invoice_number | order_items : order_id = orders : order_id | order_items : product_id = products : product_id | invoice_line_items : product_id = products : product_id | invoice_line_items : invoice_number = invoices : invoice_number | invoice_line_items : order_item_id = order_items : order_item_id</foreign_keys>"
Answer the following question with a SQL Statement:<question>Show all product sizes.</question>
[SQL]:
| <SQL_QUERY>SELECT DISTINCT product_size FROM Products</SQL_QUERY> | customers_and_invoices | SELECT DISTINCT product_size FROM Products | Show all product sizes. | [Schema (values) (types)]: | customers_and_invoices | Customers : customer_id (text) , customer_first_name (number) , customer_middle_initial (text) , customer_last_name (text) , gender (text) , email_address (text) , login_name (text) , login_password (text) , phone_number (text) , town_city (text) , state_county_province (text) , country (text) | Orders : order_id (text) , customer_id (number) , date_order_placed (text) , order_details (text) | Invoices : invoice_number (text) , order_id (number) , invoice_date (text) | Accounts : account_id (text) , customer_id (number) , date_account_opened (text) , account_name (text) , other_account_details (text) | Product_Categories : production_type_code (text) , product_type_description (number) , vat_rating (text) | Products : product_id (text) , parent_product_id (number) , production_type_code (text) , unit_price (text) , product_name (text) , product_color (text) , product_size (text) | Financial_Transactions : transaction_id (text) , account_id (number) , invoice_number (text) , transaction_type (text) , transaction_date (text) , transaction_amount (text) , transaction_comment (text) , other_transaction_details (text) | Order_Items : order_item_id (text) , order_id (number) , product_id (text) , product_quantity (text) , other_order_item_details (text) | Invoice_Line_Items : order_item_id (text) , invoice_number (number) , product_id (text) , product_title (text) , product_quantity (text) , product_price (text) , derived_product_cost (text) , derived_vat_payable (text) , derived_total_cost (text); | [Primary Keys]: customers : customer_id, orders : order_id, invoices : invoice_number, accounts : account_id, product_categories : production_type_code, products : product_id, financial_transactions : order_item_id | [Foreign Keys]: orders : customer_id = customers : customer_id | invoices : order_id = orders : order_id | accounts : customer_id = customers : customer_id | products : production_type_code = product_categories : production_type_code | financial_transactions : account_id = accounts : account_id | financial_transactions : invoice_number = invoices : invoice_number | order_items : order_id = orders : order_id | order_items : product_id = products : product_id | invoice_line_items : product_id = products : product_id | invoice_line_items : invoice_number = invoices : invoice_number | invoice_line_items : order_item_id = order_items : order_item_id |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | customers_and_invoices | Customers : customer_id (text) , customer_first_name (number) , customer_middle_initial (text) , customer_last_name (text) , gender (text) , email_address (text) , login_name (text) , login_password (text) , phone_number (text) , town_city (text) , state_county_province (text) , country (text) | Orders : order_id (text) , customer_id (number) , date_order_placed (text) , order_details (text) | Invoices : invoice_number (text) , order_id (number) , invoice_date (text) | Accounts : account_id (text) , customer_id (number) , date_account_opened (text) , account_name (text) , other_account_details (text) | Product_Categories : production_type_code (text) , product_type_description (number) , vat_rating (text) | Products : product_id (text) , parent_product_id (number) , production_type_code (text) , unit_price (text) , product_name (text) , product_color (text) , product_size (text) | Financial_Transactions : transaction_id (text) , account_id (number) , invoice_number (text) , transaction_type (text) , transaction_date (text) , transaction_amount (text) , transaction_comment (text) , other_transaction_details (text) | Order_Items : order_item_id (text) , order_id (number) , product_id (text) , product_quantity (text) , other_order_item_details (text) | Invoice_Line_Items : order_item_id (text) , invoice_number (number) , product_id (text) , product_title (text) , product_quantity (text) , product_price (text) , derived_product_cost (text) , derived_vat_payable (text) , derived_total_cost (text);</schema>"
<primary_keys>[Primary Keys]: customers : customer_id, orders : order_id, invoices : invoice_number, accounts : account_id, product_categories : production_type_code, products : product_id, financial_transactions : order_item_id</primary_keys>"
<foreign_keys>[Foreign Keys]: orders : customer_id = customers : customer_id | invoices : order_id = orders : order_id | accounts : customer_id = customers : customer_id | products : production_type_code = product_categories : production_type_code | financial_transactions : account_id = accounts : account_id | financial_transactions : invoice_number = invoices : invoice_number | order_items : order_id = orders : order_id | order_items : product_id = products : product_id | invoice_line_items : product_id = products : product_id | invoice_line_items : invoice_number = invoices : invoice_number | invoice_line_items : order_item_id = order_items : order_item_id</foreign_keys>"
Answer the following question with a SQL Statement:<question>What are the different product sizes?</question>
[SQL]:
| <SQL_QUERY>SELECT DISTINCT product_size FROM Products</SQL_QUERY> | customers_and_invoices | SELECT DISTINCT product_size FROM Products | What are the different product sizes? | [Schema (values) (types)]: | customers_and_invoices | Customers : customer_id (text) , customer_first_name (number) , customer_middle_initial (text) , customer_last_name (text) , gender (text) , email_address (text) , login_name (text) , login_password (text) , phone_number (text) , town_city (text) , state_county_province (text) , country (text) | Orders : order_id (text) , customer_id (number) , date_order_placed (text) , order_details (text) | Invoices : invoice_number (text) , order_id (number) , invoice_date (text) | Accounts : account_id (text) , customer_id (number) , date_account_opened (text) , account_name (text) , other_account_details (text) | Product_Categories : production_type_code (text) , product_type_description (number) , vat_rating (text) | Products : product_id (text) , parent_product_id (number) , production_type_code (text) , unit_price (text) , product_name (text) , product_color (text) , product_size (text) | Financial_Transactions : transaction_id (text) , account_id (number) , invoice_number (text) , transaction_type (text) , transaction_date (text) , transaction_amount (text) , transaction_comment (text) , other_transaction_details (text) | Order_Items : order_item_id (text) , order_id (number) , product_id (text) , product_quantity (text) , other_order_item_details (text) | Invoice_Line_Items : order_item_id (text) , invoice_number (number) , product_id (text) , product_title (text) , product_quantity (text) , product_price (text) , derived_product_cost (text) , derived_vat_payable (text) , derived_total_cost (text); | [Primary Keys]: customers : customer_id, orders : order_id, invoices : invoice_number, accounts : account_id, product_categories : production_type_code, products : product_id, financial_transactions : order_item_id | [Foreign Keys]: orders : customer_id = customers : customer_id | invoices : order_id = orders : order_id | accounts : customer_id = customers : customer_id | products : production_type_code = product_categories : production_type_code | financial_transactions : account_id = accounts : account_id | financial_transactions : invoice_number = invoices : invoice_number | order_items : order_id = orders : order_id | order_items : product_id = products : product_id | invoice_line_items : product_id = products : product_id | invoice_line_items : invoice_number = invoices : invoice_number | invoice_line_items : order_item_id = order_items : order_item_id |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | customers_and_invoices | Customers : customer_id (text) , customer_first_name (number) , customer_middle_initial (text) , customer_last_name (text) , gender (text) , email_address (text) , login_name (text) , login_password (text) , phone_number (text) , town_city (text) , state_county_province (text) , country (text) | Orders : order_id (text) , customer_id (number) , date_order_placed (text) , order_details (text) | Invoices : invoice_number (text) , order_id (number) , invoice_date (text) | Accounts : account_id (text) , customer_id (number) , date_account_opened (text) , account_name (text) , other_account_details (text) | Product_Categories : production_type_code (text) , product_type_description (number) , vat_rating (text) | Products : product_id (text) , parent_product_id (number) , production_type_code (text) , unit_price (text) , product_name (text) , product_color (text) , product_size (text) | Financial_Transactions : transaction_id (text) , account_id (number) , invoice_number (text) , transaction_type (text) , transaction_date (text) , transaction_amount (text) , transaction_comment (text) , other_transaction_details (text) | Order_Items : order_item_id (text) , order_id (number) , product_id (text) , product_quantity (text) , other_order_item_details (text) | Invoice_Line_Items : order_item_id (text) , invoice_number (number) , product_id (text) , product_title (text) , product_quantity (text) , product_price (text) , derived_product_cost (text) , derived_vat_payable (text) , derived_total_cost (text);</schema>"
<primary_keys>[Primary Keys]: customers : customer_id, orders : order_id, invoices : invoice_number, accounts : account_id, product_categories : production_type_code, products : product_id, financial_transactions : order_item_id</primary_keys>"
<foreign_keys>[Foreign Keys]: orders : customer_id = customers : customer_id | invoices : order_id = orders : order_id | accounts : customer_id = customers : customer_id | products : production_type_code = product_categories : production_type_code | financial_transactions : account_id = accounts : account_id | financial_transactions : invoice_number = invoices : invoice_number | order_items : order_id = orders : order_id | order_items : product_id = products : product_id | invoice_line_items : product_id = products : product_id | invoice_line_items : invoice_number = invoices : invoice_number | invoice_line_items : order_item_id = order_items : order_item_id</foreign_keys>"
Answer the following question with a SQL Statement:<question>Show all product colors.</question>
[SQL]:
| <SQL_QUERY>SELECT DISTINCT product_color FROM Products</SQL_QUERY> | customers_and_invoices | SELECT DISTINCT product_color FROM Products | Show all product colors. | [Schema (values) (types)]: | customers_and_invoices | Customers : customer_id (text) , customer_first_name (number) , customer_middle_initial (text) , customer_last_name (text) , gender (text) , email_address (text) , login_name (text) , login_password (text) , phone_number (text) , town_city (text) , state_county_province (text) , country (text) | Orders : order_id (text) , customer_id (number) , date_order_placed (text) , order_details (text) | Invoices : invoice_number (text) , order_id (number) , invoice_date (text) | Accounts : account_id (text) , customer_id (number) , date_account_opened (text) , account_name (text) , other_account_details (text) | Product_Categories : production_type_code (text) , product_type_description (number) , vat_rating (text) | Products : product_id (text) , parent_product_id (number) , production_type_code (text) , unit_price (text) , product_name (text) , product_color (text) , product_size (text) | Financial_Transactions : transaction_id (text) , account_id (number) , invoice_number (text) , transaction_type (text) , transaction_date (text) , transaction_amount (text) , transaction_comment (text) , other_transaction_details (text) | Order_Items : order_item_id (text) , order_id (number) , product_id (text) , product_quantity (text) , other_order_item_details (text) | Invoice_Line_Items : order_item_id (text) , invoice_number (number) , product_id (text) , product_title (text) , product_quantity (text) , product_price (text) , derived_product_cost (text) , derived_vat_payable (text) , derived_total_cost (text); | [Primary Keys]: customers : customer_id, orders : order_id, invoices : invoice_number, accounts : account_id, product_categories : production_type_code, products : product_id, financial_transactions : order_item_id | [Foreign Keys]: orders : customer_id = customers : customer_id | invoices : order_id = orders : order_id | accounts : customer_id = customers : customer_id | products : production_type_code = product_categories : production_type_code | financial_transactions : account_id = accounts : account_id | financial_transactions : invoice_number = invoices : invoice_number | order_items : order_id = orders : order_id | order_items : product_id = products : product_id | invoice_line_items : product_id = products : product_id | invoice_line_items : invoice_number = invoices : invoice_number | invoice_line_items : order_item_id = order_items : order_item_id |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | customers_and_invoices | Customers : customer_id (text) , customer_first_name (number) , customer_middle_initial (text) , customer_last_name (text) , gender (text) , email_address (text) , login_name (text) , login_password (text) , phone_number (text) , town_city (text) , state_county_province (text) , country (text) | Orders : order_id (text) , customer_id (number) , date_order_placed (text) , order_details (text) | Invoices : invoice_number (text) , order_id (number) , invoice_date (text) | Accounts : account_id (text) , customer_id (number) , date_account_opened (text) , account_name (text) , other_account_details (text) | Product_Categories : production_type_code (text) , product_type_description (number) , vat_rating (text) | Products : product_id (text) , parent_product_id (number) , production_type_code (text) , unit_price (text) , product_name (text) , product_color (text) , product_size (text) | Financial_Transactions : transaction_id (text) , account_id (number) , invoice_number (text) , transaction_type (text) , transaction_date (text) , transaction_amount (text) , transaction_comment (text) , other_transaction_details (text) | Order_Items : order_item_id (text) , order_id (number) , product_id (text) , product_quantity (text) , other_order_item_details (text) | Invoice_Line_Items : order_item_id (text) , invoice_number (number) , product_id (text) , product_title (text) , product_quantity (text) , product_price (text) , derived_product_cost (text) , derived_vat_payable (text) , derived_total_cost (text);</schema>"
<primary_keys>[Primary Keys]: customers : customer_id, orders : order_id, invoices : invoice_number, accounts : account_id, product_categories : production_type_code, products : product_id, financial_transactions : order_item_id</primary_keys>"
<foreign_keys>[Foreign Keys]: orders : customer_id = customers : customer_id | invoices : order_id = orders : order_id | accounts : customer_id = customers : customer_id | products : production_type_code = product_categories : production_type_code | financial_transactions : account_id = accounts : account_id | financial_transactions : invoice_number = invoices : invoice_number | order_items : order_id = orders : order_id | order_items : product_id = products : product_id | invoice_line_items : product_id = products : product_id | invoice_line_items : invoice_number = invoices : invoice_number | invoice_line_items : order_item_id = order_items : order_item_id</foreign_keys>"
Answer the following question with a SQL Statement:<question>What are the different product colors?</question>
[SQL]:
| <SQL_QUERY>SELECT DISTINCT product_color FROM Products</SQL_QUERY> | customers_and_invoices | SELECT DISTINCT product_color FROM Products | What are the different product colors? | [Schema (values) (types)]: | customers_and_invoices | Customers : customer_id (text) , customer_first_name (number) , customer_middle_initial (text) , customer_last_name (text) , gender (text) , email_address (text) , login_name (text) , login_password (text) , phone_number (text) , town_city (text) , state_county_province (text) , country (text) | Orders : order_id (text) , customer_id (number) , date_order_placed (text) , order_details (text) | Invoices : invoice_number (text) , order_id (number) , invoice_date (text) | Accounts : account_id (text) , customer_id (number) , date_account_opened (text) , account_name (text) , other_account_details (text) | Product_Categories : production_type_code (text) , product_type_description (number) , vat_rating (text) | Products : product_id (text) , parent_product_id (number) , production_type_code (text) , unit_price (text) , product_name (text) , product_color (text) , product_size (text) | Financial_Transactions : transaction_id (text) , account_id (number) , invoice_number (text) , transaction_type (text) , transaction_date (text) , transaction_amount (text) , transaction_comment (text) , other_transaction_details (text) | Order_Items : order_item_id (text) , order_id (number) , product_id (text) , product_quantity (text) , other_order_item_details (text) | Invoice_Line_Items : order_item_id (text) , invoice_number (number) , product_id (text) , product_title (text) , product_quantity (text) , product_price (text) , derived_product_cost (text) , derived_vat_payable (text) , derived_total_cost (text); | [Primary Keys]: customers : customer_id, orders : order_id, invoices : invoice_number, accounts : account_id, product_categories : production_type_code, products : product_id, financial_transactions : order_item_id | [Foreign Keys]: orders : customer_id = customers : customer_id | invoices : order_id = orders : order_id | accounts : customer_id = customers : customer_id | products : production_type_code = product_categories : production_type_code | financial_transactions : account_id = accounts : account_id | financial_transactions : invoice_number = invoices : invoice_number | order_items : order_id = orders : order_id | order_items : product_id = products : product_id | invoice_line_items : product_id = products : product_id | invoice_line_items : invoice_number = invoices : invoice_number | invoice_line_items : order_item_id = order_items : order_item_id |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | customers_and_invoices | Customers : customer_id (text) , customer_first_name (number) , customer_middle_initial (text) , customer_last_name (text) , gender (text) , email_address (text) , login_name (text) , login_password (text) , phone_number (text) , town_city (text) , state_county_province (text) , country (text) | Orders : order_id (text) , customer_id (number) , date_order_placed (text) , order_details (text) | Invoices : invoice_number (text) , order_id (number) , invoice_date (text) | Accounts : account_id (text) , customer_id (number) , date_account_opened (text) , account_name (text) , other_account_details (text) | Product_Categories : production_type_code (text) , product_type_description (number) , vat_rating (text) | Products : product_id (text) , parent_product_id (number) , production_type_code (text) , unit_price (text) , product_name (text) , product_color (text) , product_size (text) | Financial_Transactions : transaction_id (text) , account_id (number) , invoice_number (text) , transaction_type (text) , transaction_date (text) , transaction_amount (text) , transaction_comment (text) , other_transaction_details (text) | Order_Items : order_item_id (text) , order_id (number) , product_id (text) , product_quantity (text) , other_order_item_details (text) | Invoice_Line_Items : order_item_id (text) , invoice_number (number) , product_id (text) , product_title (text) , product_quantity (text) , product_price (text) , derived_product_cost (text) , derived_vat_payable (text) , derived_total_cost (text);</schema>"
<primary_keys>[Primary Keys]: customers : customer_id, orders : order_id, invoices : invoice_number, accounts : account_id, product_categories : production_type_code, products : product_id, financial_transactions : order_item_id</primary_keys>"
<foreign_keys>[Foreign Keys]: orders : customer_id = customers : customer_id | invoices : order_id = orders : order_id | accounts : customer_id = customers : customer_id | products : production_type_code = product_categories : production_type_code | financial_transactions : account_id = accounts : account_id | financial_transactions : invoice_number = invoices : invoice_number | order_items : order_id = orders : order_id | order_items : product_id = products : product_id | invoice_line_items : product_id = products : product_id | invoice_line_items : invoice_number = invoices : invoice_number | invoice_line_items : order_item_id = order_items : order_item_id</foreign_keys>"
Answer the following question with a SQL Statement:<question>Show the invoice number and the number of transactions for each invoice.</question>
[SQL]:
| <SQL_QUERY>SELECT invoice_number , count(*) FROM Financial_transactions GROUP BY invoice_number</SQL_QUERY> | customers_and_invoices | SELECT invoice_number , count(*) FROM Financial_transactions GROUP BY invoice_number | Show the invoice number and the number of transactions for each invoice. | [Schema (values) (types)]: | customers_and_invoices | Customers : customer_id (text) , customer_first_name (number) , customer_middle_initial (text) , customer_last_name (text) , gender (text) , email_address (text) , login_name (text) , login_password (text) , phone_number (text) , town_city (text) , state_county_province (text) , country (text) | Orders : order_id (text) , customer_id (number) , date_order_placed (text) , order_details (text) | Invoices : invoice_number (text) , order_id (number) , invoice_date (text) | Accounts : account_id (text) , customer_id (number) , date_account_opened (text) , account_name (text) , other_account_details (text) | Product_Categories : production_type_code (text) , product_type_description (number) , vat_rating (text) | Products : product_id (text) , parent_product_id (number) , production_type_code (text) , unit_price (text) , product_name (text) , product_color (text) , product_size (text) | Financial_Transactions : transaction_id (text) , account_id (number) , invoice_number (text) , transaction_type (text) , transaction_date (text) , transaction_amount (text) , transaction_comment (text) , other_transaction_details (text) | Order_Items : order_item_id (text) , order_id (number) , product_id (text) , product_quantity (text) , other_order_item_details (text) | Invoice_Line_Items : order_item_id (text) , invoice_number (number) , product_id (text) , product_title (text) , product_quantity (text) , product_price (text) , derived_product_cost (text) , derived_vat_payable (text) , derived_total_cost (text); | [Primary Keys]: customers : customer_id, orders : order_id, invoices : invoice_number, accounts : account_id, product_categories : production_type_code, products : product_id, financial_transactions : order_item_id | [Foreign Keys]: orders : customer_id = customers : customer_id | invoices : order_id = orders : order_id | accounts : customer_id = customers : customer_id | products : production_type_code = product_categories : production_type_code | financial_transactions : account_id = accounts : account_id | financial_transactions : invoice_number = invoices : invoice_number | order_items : order_id = orders : order_id | order_items : product_id = products : product_id | invoice_line_items : product_id = products : product_id | invoice_line_items : invoice_number = invoices : invoice_number | invoice_line_items : order_item_id = order_items : order_item_id |
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