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)]: | cre_Docs_and_Epenses | Ref_Document_Types : document_type_code (text) , document_type_name (text) , document_type_description (text) | Ref_Budget_Codes : budget_type_code (text) , budget_type_description (text) | Projects : project_id (text) , project_details (text) | Documents : document_id (text) , document_type_code (text) , project_id (text) , document_date (text) , document_name (text) , document_description (text) , other_details (number) | Statements : statement_id (text) , statement_details (text) | Documents_with_Expenses : document_id (text) , budget_type_code (text) , document_details (text) | Accounts : account_id (text) , statement_id (text) , account_details (text);</schema>"
<primary_keys>[Primary Keys]: ref_document_types : document_type_code, ref_budget_codes : budget_type_code, projects : project_id, documents : document_id, statements : statement_id, documents_with_expenses : document_id, accounts : account_id</primary_keys>"
<foreign_keys>[Foreign Keys]: documents : project_id = projects : project_id | documents : document_type_code = ref_document_types : document_type_code | statements : statement_id = documents : document_id | documents_with_expenses : document_id = documents : document_id | documents_with_expenses : budget_type_code = ref_budget_codes : budget_type_code | accounts : statement_id = statements : statement_id</foreign_keys>"
Answer the following question with a SQL Statement:<question>Count the number of documents.</question>
[SQL]:
| <SQL_QUERY>SELECT count(*) FROM Documents</SQL_QUERY> | cre_Docs_and_Epenses | SELECT count(*) FROM Documents | Count the number of documents. | [Schema (values) (types)]: | cre_Docs_and_Epenses | Ref_Document_Types : document_type_code (text) , document_type_name (text) , document_type_description (text) | Ref_Budget_Codes : budget_type_code (text) , budget_type_description (text) | Projects : project_id (text) , project_details (text) | Documents : document_id (text) , document_type_code (text) , project_id (text) , document_date (text) , document_name (text) , document_description (text) , other_details (number) | Statements : statement_id (text) , statement_details (text) | Documents_with_Expenses : document_id (text) , budget_type_code (text) , document_details (text) | Accounts : account_id (text) , statement_id (text) , account_details (text); | [Primary Keys]: ref_document_types : document_type_code, ref_budget_codes : budget_type_code, projects : project_id, documents : document_id, statements : statement_id, documents_with_expenses : document_id, accounts : account_id | [Foreign Keys]: documents : project_id = projects : project_id | documents : document_type_code = ref_document_types : document_type_code | statements : statement_id = documents : document_id | documents_with_expenses : document_id = documents : document_id | documents_with_expenses : budget_type_code = ref_budget_codes : budget_type_code | accounts : statement_id = statements : statement_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)]: | cre_Docs_and_Epenses | Ref_Document_Types : document_type_code (text) , document_type_name (text) , document_type_description (text) | Ref_Budget_Codes : budget_type_code (text) , budget_type_description (text) | Projects : project_id (text) , project_details (text) | Documents : document_id (text) , document_type_code (text) , project_id (text) , document_date (text) , document_name (text) , document_description (text) , other_details (number) | Statements : statement_id (text) , statement_details (text) | Documents_with_Expenses : document_id (text) , budget_type_code (text) , document_details (text) | Accounts : account_id (text) , statement_id (text) , account_details (text);</schema>"
<primary_keys>[Primary Keys]: ref_document_types : document_type_code, ref_budget_codes : budget_type_code, projects : project_id, documents : document_id, statements : statement_id, documents_with_expenses : document_id, accounts : account_id</primary_keys>"
<foreign_keys>[Foreign Keys]: documents : project_id = projects : project_id | documents : document_type_code = ref_document_types : document_type_code | statements : statement_id = documents : document_id | documents_with_expenses : document_id = documents : document_id | documents_with_expenses : budget_type_code = ref_budget_codes : budget_type_code | accounts : statement_id = statements : statement_id</foreign_keys>"
Answer the following question with a SQL Statement:<question>List the document type code, document name, and document description for the document with name 'Noel CV' or name 'King Book'.</question>
[SQL]:
| <SQL_QUERY>SELECT document_type_code , document_name , document_description FROM Documents WHERE document_name = 'Noel CV' OR document_name = 'King Book'</SQL_QUERY> | cre_Docs_and_Epenses | SELECT document_type_code , document_name , document_description FROM Documents WHERE document_name = 'Noel CV' OR document_name = 'King Book' | List the document type code, document name, and document description for the document with name 'Noel CV' or name 'King Book'. | [Schema (values) (types)]: | cre_Docs_and_Epenses | Ref_Document_Types : document_type_code (text) , document_type_name (text) , document_type_description (text) | Ref_Budget_Codes : budget_type_code (text) , budget_type_description (text) | Projects : project_id (text) , project_details (text) | Documents : document_id (text) , document_type_code (text) , project_id (text) , document_date (text) , document_name (text) , document_description (text) , other_details (number) | Statements : statement_id (text) , statement_details (text) | Documents_with_Expenses : document_id (text) , budget_type_code (text) , document_details (text) | Accounts : account_id (text) , statement_id (text) , account_details (text); | [Primary Keys]: ref_document_types : document_type_code, ref_budget_codes : budget_type_code, projects : project_id, documents : document_id, statements : statement_id, documents_with_expenses : document_id, accounts : account_id | [Foreign Keys]: documents : project_id = projects : project_id | documents : document_type_code = ref_document_types : document_type_code | statements : statement_id = documents : document_id | documents_with_expenses : document_id = documents : document_id | documents_with_expenses : budget_type_code = ref_budget_codes : budget_type_code | accounts : statement_id = statements : statement_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)]: | cre_Docs_and_Epenses | Ref_Document_Types : document_type_code (text) , document_type_name (text) , document_type_description (text) | Ref_Budget_Codes : budget_type_code (text) , budget_type_description (text) | Projects : project_id (text) , project_details (text) | Documents : document_id (text) , document_type_code (text) , project_id (text) , document_date (text) , document_name (text) , document_description (text) , other_details (number) | Statements : statement_id (text) , statement_details (text) | Documents_with_Expenses : document_id (text) , budget_type_code (text) , document_details (text) | Accounts : account_id (text) , statement_id (text) , account_details (text);</schema>"
<primary_keys>[Primary Keys]: ref_document_types : document_type_code, ref_budget_codes : budget_type_code, projects : project_id, documents : document_id, statements : statement_id, documents_with_expenses : document_id, accounts : account_id</primary_keys>"
<foreign_keys>[Foreign Keys]: documents : project_id = projects : project_id | documents : document_type_code = ref_document_types : document_type_code | statements : statement_id = documents : document_id | documents_with_expenses : document_id = documents : document_id | documents_with_expenses : budget_type_code = ref_budget_codes : budget_type_code | accounts : statement_id = statements : statement_id</foreign_keys>"
Answer the following question with a SQL Statement:<question>What are the type come, name, and description of the document that has either the name 'Noel CV' or 'King Book'?</question>
[SQL]:
| <SQL_QUERY>SELECT document_type_code , document_name , document_description FROM Documents WHERE document_name = 'Noel CV' OR document_name = 'King Book'</SQL_QUERY> | cre_Docs_and_Epenses | SELECT document_type_code , document_name , document_description FROM Documents WHERE document_name = 'Noel CV' OR document_name = 'King Book' | What are the type come, name, and description of the document that has either the name 'Noel CV' or 'King Book'? | [Schema (values) (types)]: | cre_Docs_and_Epenses | Ref_Document_Types : document_type_code (text) , document_type_name (text) , document_type_description (text) | Ref_Budget_Codes : budget_type_code (text) , budget_type_description (text) | Projects : project_id (text) , project_details (text) | Documents : document_id (text) , document_type_code (text) , project_id (text) , document_date (text) , document_name (text) , document_description (text) , other_details (number) | Statements : statement_id (text) , statement_details (text) | Documents_with_Expenses : document_id (text) , budget_type_code (text) , document_details (text) | Accounts : account_id (text) , statement_id (text) , account_details (text); | [Primary Keys]: ref_document_types : document_type_code, ref_budget_codes : budget_type_code, projects : project_id, documents : document_id, statements : statement_id, documents_with_expenses : document_id, accounts : account_id | [Foreign Keys]: documents : project_id = projects : project_id | documents : document_type_code = ref_document_types : document_type_code | statements : statement_id = documents : document_id | documents_with_expenses : document_id = documents : document_id | documents_with_expenses : budget_type_code = ref_budget_codes : budget_type_code | accounts : statement_id = statements : statement_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)]: | cre_Docs_and_Epenses | Ref_Document_Types : document_type_code (text) , document_type_name (text) , document_type_description (text) | Ref_Budget_Codes : budget_type_code (text) , budget_type_description (text) | Projects : project_id (text) , project_details (text) | Documents : document_id (text) , document_type_code (text) , project_id (text) , document_date (text) , document_name (text) , document_description (text) , other_details (number) | Statements : statement_id (text) , statement_details (text) | Documents_with_Expenses : document_id (text) , budget_type_code (text) , document_details (text) | Accounts : account_id (text) , statement_id (text) , account_details (text);</schema>"
<primary_keys>[Primary Keys]: ref_document_types : document_type_code, ref_budget_codes : budget_type_code, projects : project_id, documents : document_id, statements : statement_id, documents_with_expenses : document_id, accounts : account_id</primary_keys>"
<foreign_keys>[Foreign Keys]: documents : project_id = projects : project_id | documents : document_type_code = ref_document_types : document_type_code | statements : statement_id = documents : document_id | documents_with_expenses : document_id = documents : document_id | documents_with_expenses : budget_type_code = ref_budget_codes : budget_type_code | accounts : statement_id = statements : statement_id</foreign_keys>"
Answer the following question with a SQL Statement:<question>Show the ids and names of all documents.</question>
[SQL]:
| <SQL_QUERY>SELECT document_id , document_name FROM Documents</SQL_QUERY> | cre_Docs_and_Epenses | SELECT document_id , document_name FROM Documents | Show the ids and names of all documents. | [Schema (values) (types)]: | cre_Docs_and_Epenses | Ref_Document_Types : document_type_code (text) , document_type_name (text) , document_type_description (text) | Ref_Budget_Codes : budget_type_code (text) , budget_type_description (text) | Projects : project_id (text) , project_details (text) | Documents : document_id (text) , document_type_code (text) , project_id (text) , document_date (text) , document_name (text) , document_description (text) , other_details (number) | Statements : statement_id (text) , statement_details (text) | Documents_with_Expenses : document_id (text) , budget_type_code (text) , document_details (text) | Accounts : account_id (text) , statement_id (text) , account_details (text); | [Primary Keys]: ref_document_types : document_type_code, ref_budget_codes : budget_type_code, projects : project_id, documents : document_id, statements : statement_id, documents_with_expenses : document_id, accounts : account_id | [Foreign Keys]: documents : project_id = projects : project_id | documents : document_type_code = ref_document_types : document_type_code | statements : statement_id = documents : document_id | documents_with_expenses : document_id = documents : document_id | documents_with_expenses : budget_type_code = ref_budget_codes : budget_type_code | accounts : statement_id = statements : statement_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)]: | cre_Docs_and_Epenses | Ref_Document_Types : document_type_code (text) , document_type_name (text) , document_type_description (text) | Ref_Budget_Codes : budget_type_code (text) , budget_type_description (text) | Projects : project_id (text) , project_details (text) | Documents : document_id (text) , document_type_code (text) , project_id (text) , document_date (text) , document_name (text) , document_description (text) , other_details (number) | Statements : statement_id (text) , statement_details (text) | Documents_with_Expenses : document_id (text) , budget_type_code (text) , document_details (text) | Accounts : account_id (text) , statement_id (text) , account_details (text);</schema>"
<primary_keys>[Primary Keys]: ref_document_types : document_type_code, ref_budget_codes : budget_type_code, projects : project_id, documents : document_id, statements : statement_id, documents_with_expenses : document_id, accounts : account_id</primary_keys>"
<foreign_keys>[Foreign Keys]: documents : project_id = projects : project_id | documents : document_type_code = ref_document_types : document_type_code | statements : statement_id = documents : document_id | documents_with_expenses : document_id = documents : document_id | documents_with_expenses : budget_type_code = ref_budget_codes : budget_type_code | accounts : statement_id = statements : statement_id</foreign_keys>"
Answer the following question with a SQL Statement:<question>What are the ids and names for each of the documents?</question>
[SQL]:
| <SQL_QUERY>SELECT document_id , document_name FROM Documents</SQL_QUERY> | cre_Docs_and_Epenses | SELECT document_id , document_name FROM Documents | What are the ids and names for each of the documents? | [Schema (values) (types)]: | cre_Docs_and_Epenses | Ref_Document_Types : document_type_code (text) , document_type_name (text) , document_type_description (text) | Ref_Budget_Codes : budget_type_code (text) , budget_type_description (text) | Projects : project_id (text) , project_details (text) | Documents : document_id (text) , document_type_code (text) , project_id (text) , document_date (text) , document_name (text) , document_description (text) , other_details (number) | Statements : statement_id (text) , statement_details (text) | Documents_with_Expenses : document_id (text) , budget_type_code (text) , document_details (text) | Accounts : account_id (text) , statement_id (text) , account_details (text); | [Primary Keys]: ref_document_types : document_type_code, ref_budget_codes : budget_type_code, projects : project_id, documents : document_id, statements : statement_id, documents_with_expenses : document_id, accounts : account_id | [Foreign Keys]: documents : project_id = projects : project_id | documents : document_type_code = ref_document_types : document_type_code | statements : statement_id = documents : document_id | documents_with_expenses : document_id = documents : document_id | documents_with_expenses : budget_type_code = ref_budget_codes : budget_type_code | accounts : statement_id = statements : statement_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)]: | cre_Docs_and_Epenses | Ref_Document_Types : document_type_code (text) , document_type_name (text) , document_type_description (text) | Ref_Budget_Codes : budget_type_code (text) , budget_type_description (text) | Projects : project_id (text) , project_details (text) | Documents : document_id (text) , document_type_code (text) , project_id (text) , document_date (text) , document_name (text) , document_description (text) , other_details (number) | Statements : statement_id (text) , statement_details (text) | Documents_with_Expenses : document_id (text) , budget_type_code (text) , document_details (text) | Accounts : account_id (text) , statement_id (text) , account_details (text);</schema>"
<primary_keys>[Primary Keys]: ref_document_types : document_type_code, ref_budget_codes : budget_type_code, projects : project_id, documents : document_id, statements : statement_id, documents_with_expenses : document_id, accounts : account_id</primary_keys>"
<foreign_keys>[Foreign Keys]: documents : project_id = projects : project_id | documents : document_type_code = ref_document_types : document_type_code | statements : statement_id = documents : document_id | documents_with_expenses : document_id = documents : document_id | documents_with_expenses : budget_type_code = ref_budget_codes : budget_type_code | accounts : statement_id = statements : statement_id</foreign_keys>"
Answer the following question with a SQL Statement:<question>Find names and ids of all documents with document type code BK.</question>
[SQL]:
| <SQL_QUERY>SELECT document_name , document_id FROM Documents WHERE document_type_code = "BK"</SQL_QUERY> | cre_Docs_and_Epenses | SELECT document_name , document_id FROM Documents WHERE document_type_code = "BK" | Find names and ids of all documents with document type code BK. | [Schema (values) (types)]: | cre_Docs_and_Epenses | Ref_Document_Types : document_type_code (text) , document_type_name (text) , document_type_description (text) | Ref_Budget_Codes : budget_type_code (text) , budget_type_description (text) | Projects : project_id (text) , project_details (text) | Documents : document_id (text) , document_type_code (text) , project_id (text) , document_date (text) , document_name (text) , document_description (text) , other_details (number) | Statements : statement_id (text) , statement_details (text) | Documents_with_Expenses : document_id (text) , budget_type_code (text) , document_details (text) | Accounts : account_id (text) , statement_id (text) , account_details (text); | [Primary Keys]: ref_document_types : document_type_code, ref_budget_codes : budget_type_code, projects : project_id, documents : document_id, statements : statement_id, documents_with_expenses : document_id, accounts : account_id | [Foreign Keys]: documents : project_id = projects : project_id | documents : document_type_code = ref_document_types : document_type_code | statements : statement_id = documents : document_id | documents_with_expenses : document_id = documents : document_id | documents_with_expenses : budget_type_code = ref_budget_codes : budget_type_code | accounts : statement_id = statements : statement_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)]: | cre_Docs_and_Epenses | Ref_Document_Types : document_type_code (text) , document_type_name (text) , document_type_description (text) | Ref_Budget_Codes : budget_type_code (text) , budget_type_description (text) | Projects : project_id (text) , project_details (text) | Documents : document_id (text) , document_type_code (text) , project_id (text) , document_date (text) , document_name (text) , document_description (text) , other_details (number) | Statements : statement_id (text) , statement_details (text) | Documents_with_Expenses : document_id (text) , budget_type_code (text) , document_details (text) | Accounts : account_id (text) , statement_id (text) , account_details (text);</schema>"
<primary_keys>[Primary Keys]: ref_document_types : document_type_code, ref_budget_codes : budget_type_code, projects : project_id, documents : document_id, statements : statement_id, documents_with_expenses : document_id, accounts : account_id</primary_keys>"
<foreign_keys>[Foreign Keys]: documents : project_id = projects : project_id | documents : document_type_code = ref_document_types : document_type_code | statements : statement_id = documents : document_id | documents_with_expenses : document_id = documents : document_id | documents_with_expenses : budget_type_code = ref_budget_codes : budget_type_code | accounts : statement_id = statements : statement_id</foreign_keys>"
Answer the following question with a SQL Statement:<question>What are the names and ids of documents that have the type code BK?</question>
[SQL]:
| <SQL_QUERY>SELECT document_name , document_id FROM Documents WHERE document_type_code = "BK"</SQL_QUERY> | cre_Docs_and_Epenses | SELECT document_name , document_id FROM Documents WHERE document_type_code = "BK" | What are the names and ids of documents that have the type code BK? | [Schema (values) (types)]: | cre_Docs_and_Epenses | Ref_Document_Types : document_type_code (text) , document_type_name (text) , document_type_description (text) | Ref_Budget_Codes : budget_type_code (text) , budget_type_description (text) | Projects : project_id (text) , project_details (text) | Documents : document_id (text) , document_type_code (text) , project_id (text) , document_date (text) , document_name (text) , document_description (text) , other_details (number) | Statements : statement_id (text) , statement_details (text) | Documents_with_Expenses : document_id (text) , budget_type_code (text) , document_details (text) | Accounts : account_id (text) , statement_id (text) , account_details (text); | [Primary Keys]: ref_document_types : document_type_code, ref_budget_codes : budget_type_code, projects : project_id, documents : document_id, statements : statement_id, documents_with_expenses : document_id, accounts : account_id | [Foreign Keys]: documents : project_id = projects : project_id | documents : document_type_code = ref_document_types : document_type_code | statements : statement_id = documents : document_id | documents_with_expenses : document_id = documents : document_id | documents_with_expenses : budget_type_code = ref_budget_codes : budget_type_code | accounts : statement_id = statements : statement_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)]: | cre_Docs_and_Epenses | Ref_Document_Types : document_type_code (text) , document_type_name (text) , document_type_description (text) | Ref_Budget_Codes : budget_type_code (text) , budget_type_description (text) | Projects : project_id (text) , project_details (text) | Documents : document_id (text) , document_type_code (text) , project_id (text) , document_date (text) , document_name (text) , document_description (text) , other_details (number) | Statements : statement_id (text) , statement_details (text) | Documents_with_Expenses : document_id (text) , budget_type_code (text) , document_details (text) | Accounts : account_id (text) , statement_id (text) , account_details (text);</schema>"
<primary_keys>[Primary Keys]: ref_document_types : document_type_code, ref_budget_codes : budget_type_code, projects : project_id, documents : document_id, statements : statement_id, documents_with_expenses : document_id, accounts : account_id</primary_keys>"
<foreign_keys>[Foreign Keys]: documents : project_id = projects : project_id | documents : document_type_code = ref_document_types : document_type_code | statements : statement_id = documents : document_id | documents_with_expenses : document_id = documents : document_id | documents_with_expenses : budget_type_code = ref_budget_codes : budget_type_code | accounts : statement_id = statements : statement_id</foreign_keys>"
Answer the following question with a SQL Statement:<question>How many documents are with document type code BK for each product id?</question>
[SQL]:
| <SQL_QUERY>SELECT count(*) , project_id FROM Documents WHERE document_type_code = "BK" GROUP BY project_id</SQL_QUERY> | cre_Docs_and_Epenses | SELECT count(*) , project_id FROM Documents WHERE document_type_code = "BK" GROUP BY project_id | How many documents are with document type code BK for each product id? | [Schema (values) (types)]: | cre_Docs_and_Epenses | Ref_Document_Types : document_type_code (text) , document_type_name (text) , document_type_description (text) | Ref_Budget_Codes : budget_type_code (text) , budget_type_description (text) | Projects : project_id (text) , project_details (text) | Documents : document_id (text) , document_type_code (text) , project_id (text) , document_date (text) , document_name (text) , document_description (text) , other_details (number) | Statements : statement_id (text) , statement_details (text) | Documents_with_Expenses : document_id (text) , budget_type_code (text) , document_details (text) | Accounts : account_id (text) , statement_id (text) , account_details (text); | [Primary Keys]: ref_document_types : document_type_code, ref_budget_codes : budget_type_code, projects : project_id, documents : document_id, statements : statement_id, documents_with_expenses : document_id, accounts : account_id | [Foreign Keys]: documents : project_id = projects : project_id | documents : document_type_code = ref_document_types : document_type_code | statements : statement_id = documents : document_id | documents_with_expenses : document_id = documents : document_id | documents_with_expenses : budget_type_code = ref_budget_codes : budget_type_code | accounts : statement_id = statements : statement_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)]: | cre_Docs_and_Epenses | Ref_Document_Types : document_type_code (text) , document_type_name (text) , document_type_description (text) | Ref_Budget_Codes : budget_type_code (text) , budget_type_description (text) | Projects : project_id (text) , project_details (text) | Documents : document_id (text) , document_type_code (text) , project_id (text) , document_date (text) , document_name (text) , document_description (text) , other_details (number) | Statements : statement_id (text) , statement_details (text) | Documents_with_Expenses : document_id (text) , budget_type_code (text) , document_details (text) | Accounts : account_id (text) , statement_id (text) , account_details (text);</schema>"
<primary_keys>[Primary Keys]: ref_document_types : document_type_code, ref_budget_codes : budget_type_code, projects : project_id, documents : document_id, statements : statement_id, documents_with_expenses : document_id, accounts : account_id</primary_keys>"
<foreign_keys>[Foreign Keys]: documents : project_id = projects : project_id | documents : document_type_code = ref_document_types : document_type_code | statements : statement_id = documents : document_id | documents_with_expenses : document_id = documents : document_id | documents_with_expenses : budget_type_code = ref_budget_codes : budget_type_code | accounts : statement_id = statements : statement_id</foreign_keys>"
Answer the following question with a SQL Statement:<question>Count the number of documents with the type code BK that correspond to each product id.</question>
[SQL]:
| <SQL_QUERY>SELECT count(*) , project_id FROM Documents WHERE document_type_code = "BK" GROUP BY project_id</SQL_QUERY> | cre_Docs_and_Epenses | SELECT count(*) , project_id FROM Documents WHERE document_type_code = "BK" GROUP BY project_id | Count the number of documents with the type code BK that correspond to each product id. | [Schema (values) (types)]: | cre_Docs_and_Epenses | Ref_Document_Types : document_type_code (text) , document_type_name (text) , document_type_description (text) | Ref_Budget_Codes : budget_type_code (text) , budget_type_description (text) | Projects : project_id (text) , project_details (text) | Documents : document_id (text) , document_type_code (text) , project_id (text) , document_date (text) , document_name (text) , document_description (text) , other_details (number) | Statements : statement_id (text) , statement_details (text) | Documents_with_Expenses : document_id (text) , budget_type_code (text) , document_details (text) | Accounts : account_id (text) , statement_id (text) , account_details (text); | [Primary Keys]: ref_document_types : document_type_code, ref_budget_codes : budget_type_code, projects : project_id, documents : document_id, statements : statement_id, documents_with_expenses : document_id, accounts : account_id | [Foreign Keys]: documents : project_id = projects : project_id | documents : document_type_code = ref_document_types : document_type_code | statements : statement_id = documents : document_id | documents_with_expenses : document_id = documents : document_id | documents_with_expenses : budget_type_code = ref_budget_codes : budget_type_code | accounts : statement_id = statements : statement_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)]: | cre_Docs_and_Epenses | Ref_Document_Types : document_type_code (text) , document_type_name (text) , document_type_description (text) | Ref_Budget_Codes : budget_type_code (text) , budget_type_description (text) | Projects : project_id (text) , project_details (text) | Documents : document_id (text) , document_type_code (text) , project_id (text) , document_date (text) , document_name (text) , document_description (text) , other_details (number) | Statements : statement_id (text) , statement_details (text) | Documents_with_Expenses : document_id (text) , budget_type_code (text) , document_details (text) | Accounts : account_id (text) , statement_id (text) , account_details (text);</schema>"
<primary_keys>[Primary Keys]: ref_document_types : document_type_code, ref_budget_codes : budget_type_code, projects : project_id, documents : document_id, statements : statement_id, documents_with_expenses : document_id, accounts : account_id</primary_keys>"
<foreign_keys>[Foreign Keys]: documents : project_id = projects : project_id | documents : document_type_code = ref_document_types : document_type_code | statements : statement_id = documents : document_id | documents_with_expenses : document_id = documents : document_id | documents_with_expenses : budget_type_code = ref_budget_codes : budget_type_code | accounts : statement_id = statements : statement_id</foreign_keys>"
Answer the following question with a SQL Statement:<question>Show the document name and the document date for all documents on project with details 'Graph Database project'.</question>
[SQL]:
| <SQL_QUERY>SELECT document_name , document_date FROM Documents AS T1 JOIN projects AS T2 ON T1.project_id = T2.project_id WHERE T2.project_details = 'Graph Database project'</SQL_QUERY> | cre_Docs_and_Epenses | SELECT document_name , document_date FROM Documents AS T1 JOIN projects AS T2 ON T1.project_id = T2.project_id WHERE T2.project_details = 'Graph Database project' | Show the document name and the document date for all documents on project with details 'Graph Database project'. | [Schema (values) (types)]: | cre_Docs_and_Epenses | Ref_Document_Types : document_type_code (text) , document_type_name (text) , document_type_description (text) | Ref_Budget_Codes : budget_type_code (text) , budget_type_description (text) | Projects : project_id (text) , project_details (text) | Documents : document_id (text) , document_type_code (text) , project_id (text) , document_date (text) , document_name (text) , document_description (text) , other_details (number) | Statements : statement_id (text) , statement_details (text) | Documents_with_Expenses : document_id (text) , budget_type_code (text) , document_details (text) | Accounts : account_id (text) , statement_id (text) , account_details (text); | [Primary Keys]: ref_document_types : document_type_code, ref_budget_codes : budget_type_code, projects : project_id, documents : document_id, statements : statement_id, documents_with_expenses : document_id, accounts : account_id | [Foreign Keys]: documents : project_id = projects : project_id | documents : document_type_code = ref_document_types : document_type_code | statements : statement_id = documents : document_id | documents_with_expenses : document_id = documents : document_id | documents_with_expenses : budget_type_code = ref_budget_codes : budget_type_code | accounts : statement_id = statements : statement_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)]: | cre_Docs_and_Epenses | Ref_Document_Types : document_type_code (text) , document_type_name (text) , document_type_description (text) | Ref_Budget_Codes : budget_type_code (text) , budget_type_description (text) | Projects : project_id (text) , project_details (text) | Documents : document_id (text) , document_type_code (text) , project_id (text) , document_date (text) , document_name (text) , document_description (text) , other_details (number) | Statements : statement_id (text) , statement_details (text) | Documents_with_Expenses : document_id (text) , budget_type_code (text) , document_details (text) | Accounts : account_id (text) , statement_id (text) , account_details (text);</schema>"
<primary_keys>[Primary Keys]: ref_document_types : document_type_code, ref_budget_codes : budget_type_code, projects : project_id, documents : document_id, statements : statement_id, documents_with_expenses : document_id, accounts : account_id</primary_keys>"
<foreign_keys>[Foreign Keys]: documents : project_id = projects : project_id | documents : document_type_code = ref_document_types : document_type_code | statements : statement_id = documents : document_id | documents_with_expenses : document_id = documents : document_id | documents_with_expenses : budget_type_code = ref_budget_codes : budget_type_code | accounts : statement_id = statements : statement_id</foreign_keys>"
Answer the following question with a SQL Statement:<question>What are the names and dates for documents corresponding to project that has the details 'Graph Database project'?</question>
[SQL]:
| <SQL_QUERY>SELECT document_name , document_date FROM Documents AS T1 JOIN projects AS T2 ON T1.project_id = T2.project_id WHERE T2.project_details = 'Graph Database project'</SQL_QUERY> | cre_Docs_and_Epenses | SELECT document_name , document_date FROM Documents AS T1 JOIN projects AS T2 ON T1.project_id = T2.project_id WHERE T2.project_details = 'Graph Database project' | What are the names and dates for documents corresponding to project that has the details 'Graph Database project'? | [Schema (values) (types)]: | cre_Docs_and_Epenses | Ref_Document_Types : document_type_code (text) , document_type_name (text) , document_type_description (text) | Ref_Budget_Codes : budget_type_code (text) , budget_type_description (text) | Projects : project_id (text) , project_details (text) | Documents : document_id (text) , document_type_code (text) , project_id (text) , document_date (text) , document_name (text) , document_description (text) , other_details (number) | Statements : statement_id (text) , statement_details (text) | Documents_with_Expenses : document_id (text) , budget_type_code (text) , document_details (text) | Accounts : account_id (text) , statement_id (text) , account_details (text); | [Primary Keys]: ref_document_types : document_type_code, ref_budget_codes : budget_type_code, projects : project_id, documents : document_id, statements : statement_id, documents_with_expenses : document_id, accounts : account_id | [Foreign Keys]: documents : project_id = projects : project_id | documents : document_type_code = ref_document_types : document_type_code | statements : statement_id = documents : document_id | documents_with_expenses : document_id = documents : document_id | documents_with_expenses : budget_type_code = ref_budget_codes : budget_type_code | accounts : statement_id = statements : statement_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)]: | cre_Docs_and_Epenses | Ref_Document_Types : document_type_code (text) , document_type_name (text) , document_type_description (text) | Ref_Budget_Codes : budget_type_code (text) , budget_type_description (text) | Projects : project_id (text) , project_details (text) | Documents : document_id (text) , document_type_code (text) , project_id (text) , document_date (text) , document_name (text) , document_description (text) , other_details (number) | Statements : statement_id (text) , statement_details (text) | Documents_with_Expenses : document_id (text) , budget_type_code (text) , document_details (text) | Accounts : account_id (text) , statement_id (text) , account_details (text);</schema>"
<primary_keys>[Primary Keys]: ref_document_types : document_type_code, ref_budget_codes : budget_type_code, projects : project_id, documents : document_id, statements : statement_id, documents_with_expenses : document_id, accounts : account_id</primary_keys>"
<foreign_keys>[Foreign Keys]: documents : project_id = projects : project_id | documents : document_type_code = ref_document_types : document_type_code | statements : statement_id = documents : document_id | documents_with_expenses : document_id = documents : document_id | documents_with_expenses : budget_type_code = ref_budget_codes : budget_type_code | accounts : statement_id = statements : statement_id</foreign_keys>"
Answer the following question with a SQL Statement:<question>Show project ids and the number of documents in each project.</question>
[SQL]:
| <SQL_QUERY>SELECT project_id , count(*) FROM Documents GROUP BY project_id</SQL_QUERY> | cre_Docs_and_Epenses | SELECT project_id , count(*) FROM Documents GROUP BY project_id | Show project ids and the number of documents in each project. | [Schema (values) (types)]: | cre_Docs_and_Epenses | Ref_Document_Types : document_type_code (text) , document_type_name (text) , document_type_description (text) | Ref_Budget_Codes : budget_type_code (text) , budget_type_description (text) | Projects : project_id (text) , project_details (text) | Documents : document_id (text) , document_type_code (text) , project_id (text) , document_date (text) , document_name (text) , document_description (text) , other_details (number) | Statements : statement_id (text) , statement_details (text) | Documents_with_Expenses : document_id (text) , budget_type_code (text) , document_details (text) | Accounts : account_id (text) , statement_id (text) , account_details (text); | [Primary Keys]: ref_document_types : document_type_code, ref_budget_codes : budget_type_code, projects : project_id, documents : document_id, statements : statement_id, documents_with_expenses : document_id, accounts : account_id | [Foreign Keys]: documents : project_id = projects : project_id | documents : document_type_code = ref_document_types : document_type_code | statements : statement_id = documents : document_id | documents_with_expenses : document_id = documents : document_id | documents_with_expenses : budget_type_code = ref_budget_codes : budget_type_code | accounts : statement_id = statements : statement_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)]: | cre_Docs_and_Epenses | Ref_Document_Types : document_type_code (text) , document_type_name (text) , document_type_description (text) | Ref_Budget_Codes : budget_type_code (text) , budget_type_description (text) | Projects : project_id (text) , project_details (text) | Documents : document_id (text) , document_type_code (text) , project_id (text) , document_date (text) , document_name (text) , document_description (text) , other_details (number) | Statements : statement_id (text) , statement_details (text) | Documents_with_Expenses : document_id (text) , budget_type_code (text) , document_details (text) | Accounts : account_id (text) , statement_id (text) , account_details (text);</schema>"
<primary_keys>[Primary Keys]: ref_document_types : document_type_code, ref_budget_codes : budget_type_code, projects : project_id, documents : document_id, statements : statement_id, documents_with_expenses : document_id, accounts : account_id</primary_keys>"
<foreign_keys>[Foreign Keys]: documents : project_id = projects : project_id | documents : document_type_code = ref_document_types : document_type_code | statements : statement_id = documents : document_id | documents_with_expenses : document_id = documents : document_id | documents_with_expenses : budget_type_code = ref_budget_codes : budget_type_code | accounts : statement_id = statements : statement_id</foreign_keys>"
Answer the following question with a SQL Statement:<question>How many documents correspond with each project id?</question>
[SQL]:
| <SQL_QUERY>SELECT project_id , count(*) FROM Documents GROUP BY project_id</SQL_QUERY> | cre_Docs_and_Epenses | SELECT project_id , count(*) FROM Documents GROUP BY project_id | How many documents correspond with each project id? | [Schema (values) (types)]: | cre_Docs_and_Epenses | Ref_Document_Types : document_type_code (text) , document_type_name (text) , document_type_description (text) | Ref_Budget_Codes : budget_type_code (text) , budget_type_description (text) | Projects : project_id (text) , project_details (text) | Documents : document_id (text) , document_type_code (text) , project_id (text) , document_date (text) , document_name (text) , document_description (text) , other_details (number) | Statements : statement_id (text) , statement_details (text) | Documents_with_Expenses : document_id (text) , budget_type_code (text) , document_details (text) | Accounts : account_id (text) , statement_id (text) , account_details (text); | [Primary Keys]: ref_document_types : document_type_code, ref_budget_codes : budget_type_code, projects : project_id, documents : document_id, statements : statement_id, documents_with_expenses : document_id, accounts : account_id | [Foreign Keys]: documents : project_id = projects : project_id | documents : document_type_code = ref_document_types : document_type_code | statements : statement_id = documents : document_id | documents_with_expenses : document_id = documents : document_id | documents_with_expenses : budget_type_code = ref_budget_codes : budget_type_code | accounts : statement_id = statements : statement_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)]: | cre_Docs_and_Epenses | Ref_Document_Types : document_type_code (text) , document_type_name (text) , document_type_description (text) | Ref_Budget_Codes : budget_type_code (text) , budget_type_description (text) | Projects : project_id (text) , project_details (text) | Documents : document_id (text) , document_type_code (text) , project_id (text) , document_date (text) , document_name (text) , document_description (text) , other_details (number) | Statements : statement_id (text) , statement_details (text) | Documents_with_Expenses : document_id (text) , budget_type_code (text) , document_details (text) | Accounts : account_id (text) , statement_id (text) , account_details (text);</schema>"
<primary_keys>[Primary Keys]: ref_document_types : document_type_code, ref_budget_codes : budget_type_code, projects : project_id, documents : document_id, statements : statement_id, documents_with_expenses : document_id, accounts : account_id</primary_keys>"
<foreign_keys>[Foreign Keys]: documents : project_id = projects : project_id | documents : document_type_code = ref_document_types : document_type_code | statements : statement_id = documents : document_id | documents_with_expenses : document_id = documents : document_id | documents_with_expenses : budget_type_code = ref_budget_codes : budget_type_code | accounts : statement_id = statements : statement_id</foreign_keys>"
Answer the following question with a SQL Statement:<question>What is the id of the project with least number of documents?</question>
[SQL]:
| <SQL_QUERY>SELECT project_id FROM Documents GROUP BY project_id ORDER BY count(*) ASC LIMIT 1</SQL_QUERY> | cre_Docs_and_Epenses | SELECT project_id FROM Documents GROUP BY project_id ORDER BY count(*) ASC LIMIT 1 | What is the id of the project with least number of documents? | [Schema (values) (types)]: | cre_Docs_and_Epenses | Ref_Document_Types : document_type_code (text) , document_type_name (text) , document_type_description (text) | Ref_Budget_Codes : budget_type_code (text) , budget_type_description (text) | Projects : project_id (text) , project_details (text) | Documents : document_id (text) , document_type_code (text) , project_id (text) , document_date (text) , document_name (text) , document_description (text) , other_details (number) | Statements : statement_id (text) , statement_details (text) | Documents_with_Expenses : document_id (text) , budget_type_code (text) , document_details (text) | Accounts : account_id (text) , statement_id (text) , account_details (text); | [Primary Keys]: ref_document_types : document_type_code, ref_budget_codes : budget_type_code, projects : project_id, documents : document_id, statements : statement_id, documents_with_expenses : document_id, accounts : account_id | [Foreign Keys]: documents : project_id = projects : project_id | documents : document_type_code = ref_document_types : document_type_code | statements : statement_id = documents : document_id | documents_with_expenses : document_id = documents : document_id | documents_with_expenses : budget_type_code = ref_budget_codes : budget_type_code | accounts : statement_id = statements : statement_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)]: | cre_Docs_and_Epenses | Ref_Document_Types : document_type_code (text) , document_type_name (text) , document_type_description (text) | Ref_Budget_Codes : budget_type_code (text) , budget_type_description (text) | Projects : project_id (text) , project_details (text) | Documents : document_id (text) , document_type_code (text) , project_id (text) , document_date (text) , document_name (text) , document_description (text) , other_details (number) | Statements : statement_id (text) , statement_details (text) | Documents_with_Expenses : document_id (text) , budget_type_code (text) , document_details (text) | Accounts : account_id (text) , statement_id (text) , account_details (text);</schema>"
<primary_keys>[Primary Keys]: ref_document_types : document_type_code, ref_budget_codes : budget_type_code, projects : project_id, documents : document_id, statements : statement_id, documents_with_expenses : document_id, accounts : account_id</primary_keys>"
<foreign_keys>[Foreign Keys]: documents : project_id = projects : project_id | documents : document_type_code = ref_document_types : document_type_code | statements : statement_id = documents : document_id | documents_with_expenses : document_id = documents : document_id | documents_with_expenses : budget_type_code = ref_budget_codes : budget_type_code | accounts : statement_id = statements : statement_id</foreign_keys>"
Answer the following question with a SQL Statement:<question>Return the id of the project that has the fewest corresponding documents.</question>
[SQL]:
| <SQL_QUERY>SELECT project_id FROM Documents GROUP BY project_id ORDER BY count(*) ASC LIMIT 1</SQL_QUERY> | cre_Docs_and_Epenses | SELECT project_id FROM Documents GROUP BY project_id ORDER BY count(*) ASC LIMIT 1 | Return the id of the project that has the fewest corresponding documents. | [Schema (values) (types)]: | cre_Docs_and_Epenses | Ref_Document_Types : document_type_code (text) , document_type_name (text) , document_type_description (text) | Ref_Budget_Codes : budget_type_code (text) , budget_type_description (text) | Projects : project_id (text) , project_details (text) | Documents : document_id (text) , document_type_code (text) , project_id (text) , document_date (text) , document_name (text) , document_description (text) , other_details (number) | Statements : statement_id (text) , statement_details (text) | Documents_with_Expenses : document_id (text) , budget_type_code (text) , document_details (text) | Accounts : account_id (text) , statement_id (text) , account_details (text); | [Primary Keys]: ref_document_types : document_type_code, ref_budget_codes : budget_type_code, projects : project_id, documents : document_id, statements : statement_id, documents_with_expenses : document_id, accounts : account_id | [Foreign Keys]: documents : project_id = projects : project_id | documents : document_type_code = ref_document_types : document_type_code | statements : statement_id = documents : document_id | documents_with_expenses : document_id = documents : document_id | documents_with_expenses : budget_type_code = ref_budget_codes : budget_type_code | accounts : statement_id = statements : statement_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)]: | cre_Docs_and_Epenses | Ref_Document_Types : document_type_code (text) , document_type_name (text) , document_type_description (text) | Ref_Budget_Codes : budget_type_code (text) , budget_type_description (text) | Projects : project_id (text) , project_details (text) | Documents : document_id (text) , document_type_code (text) , project_id (text) , document_date (text) , document_name (text) , document_description (text) , other_details (number) | Statements : statement_id (text) , statement_details (text) | Documents_with_Expenses : document_id (text) , budget_type_code (text) , document_details (text) | Accounts : account_id (text) , statement_id (text) , account_details (text);</schema>"
<primary_keys>[Primary Keys]: ref_document_types : document_type_code, ref_budget_codes : budget_type_code, projects : project_id, documents : document_id, statements : statement_id, documents_with_expenses : document_id, accounts : account_id</primary_keys>"
<foreign_keys>[Foreign Keys]: documents : project_id = projects : project_id | documents : document_type_code = ref_document_types : document_type_code | statements : statement_id = documents : document_id | documents_with_expenses : document_id = documents : document_id | documents_with_expenses : budget_type_code = ref_budget_codes : budget_type_code | accounts : statement_id = statements : statement_id</foreign_keys>"
Answer the following question with a SQL Statement:<question>Show the ids for projects with at least 2 documents.</question>
[SQL]:
| <SQL_QUERY>SELECT project_id FROM Documents GROUP BY project_id HAVING count(*) >= 2</SQL_QUERY> | cre_Docs_and_Epenses | SELECT project_id FROM Documents GROUP BY project_id HAVING count(*) >= 2 | Show the ids for projects with at least 2 documents. | [Schema (values) (types)]: | cre_Docs_and_Epenses | Ref_Document_Types : document_type_code (text) , document_type_name (text) , document_type_description (text) | Ref_Budget_Codes : budget_type_code (text) , budget_type_description (text) | Projects : project_id (text) , project_details (text) | Documents : document_id (text) , document_type_code (text) , project_id (text) , document_date (text) , document_name (text) , document_description (text) , other_details (number) | Statements : statement_id (text) , statement_details (text) | Documents_with_Expenses : document_id (text) , budget_type_code (text) , document_details (text) | Accounts : account_id (text) , statement_id (text) , account_details (text); | [Primary Keys]: ref_document_types : document_type_code, ref_budget_codes : budget_type_code, projects : project_id, documents : document_id, statements : statement_id, documents_with_expenses : document_id, accounts : account_id | [Foreign Keys]: documents : project_id = projects : project_id | documents : document_type_code = ref_document_types : document_type_code | statements : statement_id = documents : document_id | documents_with_expenses : document_id = documents : document_id | documents_with_expenses : budget_type_code = ref_budget_codes : budget_type_code | accounts : statement_id = statements : statement_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)]: | cre_Docs_and_Epenses | Ref_Document_Types : document_type_code (text) , document_type_name (text) , document_type_description (text) | Ref_Budget_Codes : budget_type_code (text) , budget_type_description (text) | Projects : project_id (text) , project_details (text) | Documents : document_id (text) , document_type_code (text) , project_id (text) , document_date (text) , document_name (text) , document_description (text) , other_details (number) | Statements : statement_id (text) , statement_details (text) | Documents_with_Expenses : document_id (text) , budget_type_code (text) , document_details (text) | Accounts : account_id (text) , statement_id (text) , account_details (text);</schema>"
<primary_keys>[Primary Keys]: ref_document_types : document_type_code, ref_budget_codes : budget_type_code, projects : project_id, documents : document_id, statements : statement_id, documents_with_expenses : document_id, accounts : account_id</primary_keys>"
<foreign_keys>[Foreign Keys]: documents : project_id = projects : project_id | documents : document_type_code = ref_document_types : document_type_code | statements : statement_id = documents : document_id | documents_with_expenses : document_id = documents : document_id | documents_with_expenses : budget_type_code = ref_budget_codes : budget_type_code | accounts : statement_id = statements : statement_id</foreign_keys>"
Answer the following question with a SQL Statement:<question>What are project ids of projects that have 2 or more corresponding documents?</question>
[SQL]:
| <SQL_QUERY>SELECT project_id FROM Documents GROUP BY project_id HAVING count(*) >= 2</SQL_QUERY> | cre_Docs_and_Epenses | SELECT project_id FROM Documents GROUP BY project_id HAVING count(*) >= 2 | What are project ids of projects that have 2 or more corresponding documents? | [Schema (values) (types)]: | cre_Docs_and_Epenses | Ref_Document_Types : document_type_code (text) , document_type_name (text) , document_type_description (text) | Ref_Budget_Codes : budget_type_code (text) , budget_type_description (text) | Projects : project_id (text) , project_details (text) | Documents : document_id (text) , document_type_code (text) , project_id (text) , document_date (text) , document_name (text) , document_description (text) , other_details (number) | Statements : statement_id (text) , statement_details (text) | Documents_with_Expenses : document_id (text) , budget_type_code (text) , document_details (text) | Accounts : account_id (text) , statement_id (text) , account_details (text); | [Primary Keys]: ref_document_types : document_type_code, ref_budget_codes : budget_type_code, projects : project_id, documents : document_id, statements : statement_id, documents_with_expenses : document_id, accounts : account_id | [Foreign Keys]: documents : project_id = projects : project_id | documents : document_type_code = ref_document_types : document_type_code | statements : statement_id = documents : document_id | documents_with_expenses : document_id = documents : document_id | documents_with_expenses : budget_type_code = ref_budget_codes : budget_type_code | accounts : statement_id = statements : statement_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)]: | cre_Docs_and_Epenses | Ref_Document_Types : document_type_code (text) , document_type_name (text) , document_type_description (text) | Ref_Budget_Codes : budget_type_code (text) , budget_type_description (text) | Projects : project_id (text) , project_details (text) | Documents : document_id (text) , document_type_code (text) , project_id (text) , document_date (text) , document_name (text) , document_description (text) , other_details (number) | Statements : statement_id (text) , statement_details (text) | Documents_with_Expenses : document_id (text) , budget_type_code (text) , document_details (text) | Accounts : account_id (text) , statement_id (text) , account_details (text);</schema>"
<primary_keys>[Primary Keys]: ref_document_types : document_type_code, ref_budget_codes : budget_type_code, projects : project_id, documents : document_id, statements : statement_id, documents_with_expenses : document_id, accounts : account_id</primary_keys>"
<foreign_keys>[Foreign Keys]: documents : project_id = projects : project_id | documents : document_type_code = ref_document_types : document_type_code | statements : statement_id = documents : document_id | documents_with_expenses : document_id = documents : document_id | documents_with_expenses : budget_type_code = ref_budget_codes : budget_type_code | accounts : statement_id = statements : statement_id</foreign_keys>"
Answer the following question with a SQL Statement:<question>List document type codes and the number of documents in each code.</question>
[SQL]:
| <SQL_QUERY>SELECT document_type_code , count(*) FROM Documents GROUP BY document_type_code</SQL_QUERY> | cre_Docs_and_Epenses | SELECT document_type_code , count(*) FROM Documents GROUP BY document_type_code | List document type codes and the number of documents in each code. | [Schema (values) (types)]: | cre_Docs_and_Epenses | Ref_Document_Types : document_type_code (text) , document_type_name (text) , document_type_description (text) | Ref_Budget_Codes : budget_type_code (text) , budget_type_description (text) | Projects : project_id (text) , project_details (text) | Documents : document_id (text) , document_type_code (text) , project_id (text) , document_date (text) , document_name (text) , document_description (text) , other_details (number) | Statements : statement_id (text) , statement_details (text) | Documents_with_Expenses : document_id (text) , budget_type_code (text) , document_details (text) | Accounts : account_id (text) , statement_id (text) , account_details (text); | [Primary Keys]: ref_document_types : document_type_code, ref_budget_codes : budget_type_code, projects : project_id, documents : document_id, statements : statement_id, documents_with_expenses : document_id, accounts : account_id | [Foreign Keys]: documents : project_id = projects : project_id | documents : document_type_code = ref_document_types : document_type_code | statements : statement_id = documents : document_id | documents_with_expenses : document_id = documents : document_id | documents_with_expenses : budget_type_code = ref_budget_codes : budget_type_code | accounts : statement_id = statements : statement_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)]: | cre_Docs_and_Epenses | Ref_Document_Types : document_type_code (text) , document_type_name (text) , document_type_description (text) | Ref_Budget_Codes : budget_type_code (text) , budget_type_description (text) | Projects : project_id (text) , project_details (text) | Documents : document_id (text) , document_type_code (text) , project_id (text) , document_date (text) , document_name (text) , document_description (text) , other_details (number) | Statements : statement_id (text) , statement_details (text) | Documents_with_Expenses : document_id (text) , budget_type_code (text) , document_details (text) | Accounts : account_id (text) , statement_id (text) , account_details (text);</schema>"
<primary_keys>[Primary Keys]: ref_document_types : document_type_code, ref_budget_codes : budget_type_code, projects : project_id, documents : document_id, statements : statement_id, documents_with_expenses : document_id, accounts : account_id</primary_keys>"
<foreign_keys>[Foreign Keys]: documents : project_id = projects : project_id | documents : document_type_code = ref_document_types : document_type_code | statements : statement_id = documents : document_id | documents_with_expenses : document_id = documents : document_id | documents_with_expenses : budget_type_code = ref_budget_codes : budget_type_code | accounts : statement_id = statements : statement_id</foreign_keys>"
Answer the following question with a SQL Statement:<question>How many documents are there of each type?</question>
[SQL]:
| <SQL_QUERY>SELECT document_type_code , count(*) FROM Documents GROUP BY document_type_code</SQL_QUERY> | cre_Docs_and_Epenses | SELECT document_type_code , count(*) FROM Documents GROUP BY document_type_code | How many documents are there of each type? | [Schema (values) (types)]: | cre_Docs_and_Epenses | Ref_Document_Types : document_type_code (text) , document_type_name (text) , document_type_description (text) | Ref_Budget_Codes : budget_type_code (text) , budget_type_description (text) | Projects : project_id (text) , project_details (text) | Documents : document_id (text) , document_type_code (text) , project_id (text) , document_date (text) , document_name (text) , document_description (text) , other_details (number) | Statements : statement_id (text) , statement_details (text) | Documents_with_Expenses : document_id (text) , budget_type_code (text) , document_details (text) | Accounts : account_id (text) , statement_id (text) , account_details (text); | [Primary Keys]: ref_document_types : document_type_code, ref_budget_codes : budget_type_code, projects : project_id, documents : document_id, statements : statement_id, documents_with_expenses : document_id, accounts : account_id | [Foreign Keys]: documents : project_id = projects : project_id | documents : document_type_code = ref_document_types : document_type_code | statements : statement_id = documents : document_id | documents_with_expenses : document_id = documents : document_id | documents_with_expenses : budget_type_code = ref_budget_codes : budget_type_code | accounts : statement_id = statements : statement_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)]: | cre_Docs_and_Epenses | Ref_Document_Types : document_type_code (text) , document_type_name (text) , document_type_description (text) | Ref_Budget_Codes : budget_type_code (text) , budget_type_description (text) | Projects : project_id (text) , project_details (text) | Documents : document_id (text) , document_type_code (text) , project_id (text) , document_date (text) , document_name (text) , document_description (text) , other_details (number) | Statements : statement_id (text) , statement_details (text) | Documents_with_Expenses : document_id (text) , budget_type_code (text) , document_details (text) | Accounts : account_id (text) , statement_id (text) , account_details (text);</schema>"
<primary_keys>[Primary Keys]: ref_document_types : document_type_code, ref_budget_codes : budget_type_code, projects : project_id, documents : document_id, statements : statement_id, documents_with_expenses : document_id, accounts : account_id</primary_keys>"
<foreign_keys>[Foreign Keys]: documents : project_id = projects : project_id | documents : document_type_code = ref_document_types : document_type_code | statements : statement_id = documents : document_id | documents_with_expenses : document_id = documents : document_id | documents_with_expenses : budget_type_code = ref_budget_codes : budget_type_code | accounts : statement_id = statements : statement_id</foreign_keys>"
Answer the following question with a SQL Statement:<question>What is the document type code with most number of documents?</question>
[SQL]:
| <SQL_QUERY>SELECT document_type_code FROM Documents GROUP BY document_type_code ORDER BY count(*) DESC LIMIT 1</SQL_QUERY> | cre_Docs_and_Epenses | SELECT document_type_code FROM Documents GROUP BY document_type_code ORDER BY count(*) DESC LIMIT 1 | What is the document type code with most number of documents? | [Schema (values) (types)]: | cre_Docs_and_Epenses | Ref_Document_Types : document_type_code (text) , document_type_name (text) , document_type_description (text) | Ref_Budget_Codes : budget_type_code (text) , budget_type_description (text) | Projects : project_id (text) , project_details (text) | Documents : document_id (text) , document_type_code (text) , project_id (text) , document_date (text) , document_name (text) , document_description (text) , other_details (number) | Statements : statement_id (text) , statement_details (text) | Documents_with_Expenses : document_id (text) , budget_type_code (text) , document_details (text) | Accounts : account_id (text) , statement_id (text) , account_details (text); | [Primary Keys]: ref_document_types : document_type_code, ref_budget_codes : budget_type_code, projects : project_id, documents : document_id, statements : statement_id, documents_with_expenses : document_id, accounts : account_id | [Foreign Keys]: documents : project_id = projects : project_id | documents : document_type_code = ref_document_types : document_type_code | statements : statement_id = documents : document_id | documents_with_expenses : document_id = documents : document_id | documents_with_expenses : budget_type_code = ref_budget_codes : budget_type_code | accounts : statement_id = statements : statement_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)]: | cre_Docs_and_Epenses | Ref_Document_Types : document_type_code (text) , document_type_name (text) , document_type_description (text) | Ref_Budget_Codes : budget_type_code (text) , budget_type_description (text) | Projects : project_id (text) , project_details (text) | Documents : document_id (text) , document_type_code (text) , project_id (text) , document_date (text) , document_name (text) , document_description (text) , other_details (number) | Statements : statement_id (text) , statement_details (text) | Documents_with_Expenses : document_id (text) , budget_type_code (text) , document_details (text) | Accounts : account_id (text) , statement_id (text) , account_details (text);</schema>"
<primary_keys>[Primary Keys]: ref_document_types : document_type_code, ref_budget_codes : budget_type_code, projects : project_id, documents : document_id, statements : statement_id, documents_with_expenses : document_id, accounts : account_id</primary_keys>"
<foreign_keys>[Foreign Keys]: documents : project_id = projects : project_id | documents : document_type_code = ref_document_types : document_type_code | statements : statement_id = documents : document_id | documents_with_expenses : document_id = documents : document_id | documents_with_expenses : budget_type_code = ref_budget_codes : budget_type_code | accounts : statement_id = statements : statement_id</foreign_keys>"
Answer the following question with a SQL Statement:<question>Return the code of the document type that is most common.</question>
[SQL]:
| <SQL_QUERY>SELECT document_type_code FROM Documents GROUP BY document_type_code ORDER BY count(*) DESC LIMIT 1</SQL_QUERY> | cre_Docs_and_Epenses | SELECT document_type_code FROM Documents GROUP BY document_type_code ORDER BY count(*) DESC LIMIT 1 | Return the code of the document type that is most common. | [Schema (values) (types)]: | cre_Docs_and_Epenses | Ref_Document_Types : document_type_code (text) , document_type_name (text) , document_type_description (text) | Ref_Budget_Codes : budget_type_code (text) , budget_type_description (text) | Projects : project_id (text) , project_details (text) | Documents : document_id (text) , document_type_code (text) , project_id (text) , document_date (text) , document_name (text) , document_description (text) , other_details (number) | Statements : statement_id (text) , statement_details (text) | Documents_with_Expenses : document_id (text) , budget_type_code (text) , document_details (text) | Accounts : account_id (text) , statement_id (text) , account_details (text); | [Primary Keys]: ref_document_types : document_type_code, ref_budget_codes : budget_type_code, projects : project_id, documents : document_id, statements : statement_id, documents_with_expenses : document_id, accounts : account_id | [Foreign Keys]: documents : project_id = projects : project_id | documents : document_type_code = ref_document_types : document_type_code | statements : statement_id = documents : document_id | documents_with_expenses : document_id = documents : document_id | documents_with_expenses : budget_type_code = ref_budget_codes : budget_type_code | accounts : statement_id = statements : statement_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)]: | cre_Docs_and_Epenses | Ref_Document_Types : document_type_code (text) , document_type_name (text) , document_type_description (text) | Ref_Budget_Codes : budget_type_code (text) , budget_type_description (text) | Projects : project_id (text) , project_details (text) | Documents : document_id (text) , document_type_code (text) , project_id (text) , document_date (text) , document_name (text) , document_description (text) , other_details (number) | Statements : statement_id (text) , statement_details (text) | Documents_with_Expenses : document_id (text) , budget_type_code (text) , document_details (text) | Accounts : account_id (text) , statement_id (text) , account_details (text);</schema>"
<primary_keys>[Primary Keys]: ref_document_types : document_type_code, ref_budget_codes : budget_type_code, projects : project_id, documents : document_id, statements : statement_id, documents_with_expenses : document_id, accounts : account_id</primary_keys>"
<foreign_keys>[Foreign Keys]: documents : project_id = projects : project_id | documents : document_type_code = ref_document_types : document_type_code | statements : statement_id = documents : document_id | documents_with_expenses : document_id = documents : document_id | documents_with_expenses : budget_type_code = ref_budget_codes : budget_type_code | accounts : statement_id = statements : statement_id</foreign_keys>"
Answer the following question with a SQL Statement:<question>Show the document type code with fewer than 3 documents.</question>
[SQL]:
| <SQL_QUERY>SELECT document_type_code FROM Documents GROUP BY document_type_code HAVING count(*) < 3</SQL_QUERY> | cre_Docs_and_Epenses | SELECT document_type_code FROM Documents GROUP BY document_type_code HAVING count(*) < 3 | Show the document type code with fewer than 3 documents. | [Schema (values) (types)]: | cre_Docs_and_Epenses | Ref_Document_Types : document_type_code (text) , document_type_name (text) , document_type_description (text) | Ref_Budget_Codes : budget_type_code (text) , budget_type_description (text) | Projects : project_id (text) , project_details (text) | Documents : document_id (text) , document_type_code (text) , project_id (text) , document_date (text) , document_name (text) , document_description (text) , other_details (number) | Statements : statement_id (text) , statement_details (text) | Documents_with_Expenses : document_id (text) , budget_type_code (text) , document_details (text) | Accounts : account_id (text) , statement_id (text) , account_details (text); | [Primary Keys]: ref_document_types : document_type_code, ref_budget_codes : budget_type_code, projects : project_id, documents : document_id, statements : statement_id, documents_with_expenses : document_id, accounts : account_id | [Foreign Keys]: documents : project_id = projects : project_id | documents : document_type_code = ref_document_types : document_type_code | statements : statement_id = documents : document_id | documents_with_expenses : document_id = documents : document_id | documents_with_expenses : budget_type_code = ref_budget_codes : budget_type_code | accounts : statement_id = statements : statement_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)]: | cre_Docs_and_Epenses | Ref_Document_Types : document_type_code (text) , document_type_name (text) , document_type_description (text) | Ref_Budget_Codes : budget_type_code (text) , budget_type_description (text) | Projects : project_id (text) , project_details (text) | Documents : document_id (text) , document_type_code (text) , project_id (text) , document_date (text) , document_name (text) , document_description (text) , other_details (number) | Statements : statement_id (text) , statement_details (text) | Documents_with_Expenses : document_id (text) , budget_type_code (text) , document_details (text) | Accounts : account_id (text) , statement_id (text) , account_details (text);</schema>"
<primary_keys>[Primary Keys]: ref_document_types : document_type_code, ref_budget_codes : budget_type_code, projects : project_id, documents : document_id, statements : statement_id, documents_with_expenses : document_id, accounts : account_id</primary_keys>"
<foreign_keys>[Foreign Keys]: documents : project_id = projects : project_id | documents : document_type_code = ref_document_types : document_type_code | statements : statement_id = documents : document_id | documents_with_expenses : document_id = documents : document_id | documents_with_expenses : budget_type_code = ref_budget_codes : budget_type_code | accounts : statement_id = statements : statement_id</foreign_keys>"
Answer the following question with a SQL Statement:<question>What are the codes corresponding to document types for which there are less than 3 documents?</question>
[SQL]:
| <SQL_QUERY>SELECT document_type_code FROM Documents GROUP BY document_type_code HAVING count(*) < 3</SQL_QUERY> | cre_Docs_and_Epenses | SELECT document_type_code FROM Documents GROUP BY document_type_code HAVING count(*) < 3 | What are the codes corresponding to document types for which there are less than 3 documents? | [Schema (values) (types)]: | cre_Docs_and_Epenses | Ref_Document_Types : document_type_code (text) , document_type_name (text) , document_type_description (text) | Ref_Budget_Codes : budget_type_code (text) , budget_type_description (text) | Projects : project_id (text) , project_details (text) | Documents : document_id (text) , document_type_code (text) , project_id (text) , document_date (text) , document_name (text) , document_description (text) , other_details (number) | Statements : statement_id (text) , statement_details (text) | Documents_with_Expenses : document_id (text) , budget_type_code (text) , document_details (text) | Accounts : account_id (text) , statement_id (text) , account_details (text); | [Primary Keys]: ref_document_types : document_type_code, ref_budget_codes : budget_type_code, projects : project_id, documents : document_id, statements : statement_id, documents_with_expenses : document_id, accounts : account_id | [Foreign Keys]: documents : project_id = projects : project_id | documents : document_type_code = ref_document_types : document_type_code | statements : statement_id = documents : document_id | documents_with_expenses : document_id = documents : document_id | documents_with_expenses : budget_type_code = ref_budget_codes : budget_type_code | accounts : statement_id = statements : statement_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)]: | cre_Docs_and_Epenses | Ref_Document_Types : document_type_code (text) , document_type_name (text) , document_type_description (text) | Ref_Budget_Codes : budget_type_code (text) , budget_type_description (text) | Projects : project_id (text) , project_details (text) | Documents : document_id (text) , document_type_code (text) , project_id (text) , document_date (text) , document_name (text) , document_description (text) , other_details (number) | Statements : statement_id (text) , statement_details (text) | Documents_with_Expenses : document_id (text) , budget_type_code (text) , document_details (text) | Accounts : account_id (text) , statement_id (text) , account_details (text);</schema>"
<primary_keys>[Primary Keys]: ref_document_types : document_type_code, ref_budget_codes : budget_type_code, projects : project_id, documents : document_id, statements : statement_id, documents_with_expenses : document_id, accounts : account_id</primary_keys>"
<foreign_keys>[Foreign Keys]: documents : project_id = projects : project_id | documents : document_type_code = ref_document_types : document_type_code | statements : statement_id = documents : document_id | documents_with_expenses : document_id = documents : document_id | documents_with_expenses : budget_type_code = ref_budget_codes : budget_type_code | accounts : statement_id = statements : statement_id</foreign_keys>"
Answer the following question with a SQL Statement:<question>Show the statement detail and the corresponding document name for the statement with detail 'Private Project'.</question>
[SQL]:
| <SQL_QUERY>SELECT T1.statement_details , T2.document_name FROM Statements AS T1 JOIN Documents AS T2 ON T1.statement_id = T2.document_id WHERE T1.statement_details = 'Private Project'</SQL_QUERY> | cre_Docs_and_Epenses | SELECT T1.statement_details , T2.document_name FROM Statements AS T1 JOIN Documents AS T2 ON T1.statement_id = T2.document_id WHERE T1.statement_details = 'Private Project' | Show the statement detail and the corresponding document name for the statement with detail 'Private Project'. | [Schema (values) (types)]: | cre_Docs_and_Epenses | Ref_Document_Types : document_type_code (text) , document_type_name (text) , document_type_description (text) | Ref_Budget_Codes : budget_type_code (text) , budget_type_description (text) | Projects : project_id (text) , project_details (text) | Documents : document_id (text) , document_type_code (text) , project_id (text) , document_date (text) , document_name (text) , document_description (text) , other_details (number) | Statements : statement_id (text) , statement_details (text) | Documents_with_Expenses : document_id (text) , budget_type_code (text) , document_details (text) | Accounts : account_id (text) , statement_id (text) , account_details (text); | [Primary Keys]: ref_document_types : document_type_code, ref_budget_codes : budget_type_code, projects : project_id, documents : document_id, statements : statement_id, documents_with_expenses : document_id, accounts : account_id | [Foreign Keys]: documents : project_id = projects : project_id | documents : document_type_code = ref_document_types : document_type_code | statements : statement_id = documents : document_id | documents_with_expenses : document_id = documents : document_id | documents_with_expenses : budget_type_code = ref_budget_codes : budget_type_code | accounts : statement_id = statements : statement_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)]: | cre_Docs_and_Epenses | Ref_Document_Types : document_type_code (text) , document_type_name (text) , document_type_description (text) | Ref_Budget_Codes : budget_type_code (text) , budget_type_description (text) | Projects : project_id (text) , project_details (text) | Documents : document_id (text) , document_type_code (text) , project_id (text) , document_date (text) , document_name (text) , document_description (text) , other_details (number) | Statements : statement_id (text) , statement_details (text) | Documents_with_Expenses : document_id (text) , budget_type_code (text) , document_details (text) | Accounts : account_id (text) , statement_id (text) , account_details (text);</schema>"
<primary_keys>[Primary Keys]: ref_document_types : document_type_code, ref_budget_codes : budget_type_code, projects : project_id, documents : document_id, statements : statement_id, documents_with_expenses : document_id, accounts : account_id</primary_keys>"
<foreign_keys>[Foreign Keys]: documents : project_id = projects : project_id | documents : document_type_code = ref_document_types : document_type_code | statements : statement_id = documents : document_id | documents_with_expenses : document_id = documents : document_id | documents_with_expenses : budget_type_code = ref_budget_codes : budget_type_code | accounts : statement_id = statements : statement_id</foreign_keys>"
Answer the following question with a SQL Statement:<question>What are the details for statements with the details 'Private Project', and what are the names of the corresponding documents?</question>
[SQL]:
| <SQL_QUERY>SELECT T1.statement_details , T2.document_name FROM Statements AS T1 JOIN Documents AS T2 ON T1.statement_id = T2.document_id WHERE T1.statement_details = 'Private Project'</SQL_QUERY> | cre_Docs_and_Epenses | SELECT T1.statement_details , T2.document_name FROM Statements AS T1 JOIN Documents AS T2 ON T1.statement_id = T2.document_id WHERE T1.statement_details = 'Private Project' | What are the details for statements with the details 'Private Project', and what are the names of the corresponding documents? | [Schema (values) (types)]: | cre_Docs_and_Epenses | Ref_Document_Types : document_type_code (text) , document_type_name (text) , document_type_description (text) | Ref_Budget_Codes : budget_type_code (text) , budget_type_description (text) | Projects : project_id (text) , project_details (text) | Documents : document_id (text) , document_type_code (text) , project_id (text) , document_date (text) , document_name (text) , document_description (text) , other_details (number) | Statements : statement_id (text) , statement_details (text) | Documents_with_Expenses : document_id (text) , budget_type_code (text) , document_details (text) | Accounts : account_id (text) , statement_id (text) , account_details (text); | [Primary Keys]: ref_document_types : document_type_code, ref_budget_codes : budget_type_code, projects : project_id, documents : document_id, statements : statement_id, documents_with_expenses : document_id, accounts : account_id | [Foreign Keys]: documents : project_id = projects : project_id | documents : document_type_code = ref_document_types : document_type_code | statements : statement_id = documents : document_id | documents_with_expenses : document_id = documents : document_id | documents_with_expenses : budget_type_code = ref_budget_codes : budget_type_code | accounts : statement_id = statements : statement_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)]: | cre_Docs_and_Epenses | Ref_Document_Types : document_type_code (text) , document_type_name (text) , document_type_description (text) | Ref_Budget_Codes : budget_type_code (text) , budget_type_description (text) | Projects : project_id (text) , project_details (text) | Documents : document_id (text) , document_type_code (text) , project_id (text) , document_date (text) , document_name (text) , document_description (text) , other_details (number) | Statements : statement_id (text) , statement_details (text) | Documents_with_Expenses : document_id (text) , budget_type_code (text) , document_details (text) | Accounts : account_id (text) , statement_id (text) , account_details (text);</schema>"
<primary_keys>[Primary Keys]: ref_document_types : document_type_code, ref_budget_codes : budget_type_code, projects : project_id, documents : document_id, statements : statement_id, documents_with_expenses : document_id, accounts : account_id</primary_keys>"
<foreign_keys>[Foreign Keys]: documents : project_id = projects : project_id | documents : document_type_code = ref_document_types : document_type_code | statements : statement_id = documents : document_id | documents_with_expenses : document_id = documents : document_id | documents_with_expenses : budget_type_code = ref_budget_codes : budget_type_code | accounts : statement_id = statements : statement_id</foreign_keys>"
Answer the following question with a SQL Statement:<question>Show all document type codes, document type names, document type descriptions.</question>
[SQL]:
| <SQL_QUERY>SELECT document_type_code , document_type_name , document_type_description FROM Ref_document_types</SQL_QUERY> | cre_Docs_and_Epenses | SELECT document_type_code , document_type_name , document_type_description FROM Ref_document_types | Show all document type codes, document type names, document type descriptions. | [Schema (values) (types)]: | cre_Docs_and_Epenses | Ref_Document_Types : document_type_code (text) , document_type_name (text) , document_type_description (text) | Ref_Budget_Codes : budget_type_code (text) , budget_type_description (text) | Projects : project_id (text) , project_details (text) | Documents : document_id (text) , document_type_code (text) , project_id (text) , document_date (text) , document_name (text) , document_description (text) , other_details (number) | Statements : statement_id (text) , statement_details (text) | Documents_with_Expenses : document_id (text) , budget_type_code (text) , document_details (text) | Accounts : account_id (text) , statement_id (text) , account_details (text); | [Primary Keys]: ref_document_types : document_type_code, ref_budget_codes : budget_type_code, projects : project_id, documents : document_id, statements : statement_id, documents_with_expenses : document_id, accounts : account_id | [Foreign Keys]: documents : project_id = projects : project_id | documents : document_type_code = ref_document_types : document_type_code | statements : statement_id = documents : document_id | documents_with_expenses : document_id = documents : document_id | documents_with_expenses : budget_type_code = ref_budget_codes : budget_type_code | accounts : statement_id = statements : statement_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)]: | cre_Docs_and_Epenses | Ref_Document_Types : document_type_code (text) , document_type_name (text) , document_type_description (text) | Ref_Budget_Codes : budget_type_code (text) , budget_type_description (text) | Projects : project_id (text) , project_details (text) | Documents : document_id (text) , document_type_code (text) , project_id (text) , document_date (text) , document_name (text) , document_description (text) , other_details (number) | Statements : statement_id (text) , statement_details (text) | Documents_with_Expenses : document_id (text) , budget_type_code (text) , document_details (text) | Accounts : account_id (text) , statement_id (text) , account_details (text);</schema>"
<primary_keys>[Primary Keys]: ref_document_types : document_type_code, ref_budget_codes : budget_type_code, projects : project_id, documents : document_id, statements : statement_id, documents_with_expenses : document_id, accounts : account_id</primary_keys>"
<foreign_keys>[Foreign Keys]: documents : project_id = projects : project_id | documents : document_type_code = ref_document_types : document_type_code | statements : statement_id = documents : document_id | documents_with_expenses : document_id = documents : document_id | documents_with_expenses : budget_type_code = ref_budget_codes : budget_type_code | accounts : statement_id = statements : statement_id</foreign_keys>"
Answer the following question with a SQL Statement:<question>What are the codes, names, and descriptions of the different document types?</question>
[SQL]:
| <SQL_QUERY>SELECT document_type_code , document_type_name , document_type_description FROM Ref_document_types</SQL_QUERY> | cre_Docs_and_Epenses | SELECT document_type_code , document_type_name , document_type_description FROM Ref_document_types | What are the codes, names, and descriptions of the different document types? | [Schema (values) (types)]: | cre_Docs_and_Epenses | Ref_Document_Types : document_type_code (text) , document_type_name (text) , document_type_description (text) | Ref_Budget_Codes : budget_type_code (text) , budget_type_description (text) | Projects : project_id (text) , project_details (text) | Documents : document_id (text) , document_type_code (text) , project_id (text) , document_date (text) , document_name (text) , document_description (text) , other_details (number) | Statements : statement_id (text) , statement_details (text) | Documents_with_Expenses : document_id (text) , budget_type_code (text) , document_details (text) | Accounts : account_id (text) , statement_id (text) , account_details (text); | [Primary Keys]: ref_document_types : document_type_code, ref_budget_codes : budget_type_code, projects : project_id, documents : document_id, statements : statement_id, documents_with_expenses : document_id, accounts : account_id | [Foreign Keys]: documents : project_id = projects : project_id | documents : document_type_code = ref_document_types : document_type_code | statements : statement_id = documents : document_id | documents_with_expenses : document_id = documents : document_id | documents_with_expenses : budget_type_code = ref_budget_codes : budget_type_code | accounts : statement_id = statements : statement_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)]: | cre_Docs_and_Epenses | Ref_Document_Types : document_type_code (text) , document_type_name (text) , document_type_description (text) | Ref_Budget_Codes : budget_type_code (text) , budget_type_description (text) | Projects : project_id (text) , project_details (text) | Documents : document_id (text) , document_type_code (text) , project_id (text) , document_date (text) , document_name (text) , document_description (text) , other_details (number) | Statements : statement_id (text) , statement_details (text) | Documents_with_Expenses : document_id (text) , budget_type_code (text) , document_details (text) | Accounts : account_id (text) , statement_id (text) , account_details (text);</schema>"
<primary_keys>[Primary Keys]: ref_document_types : document_type_code, ref_budget_codes : budget_type_code, projects : project_id, documents : document_id, statements : statement_id, documents_with_expenses : document_id, accounts : account_id</primary_keys>"
<foreign_keys>[Foreign Keys]: documents : project_id = projects : project_id | documents : document_type_code = ref_document_types : document_type_code | statements : statement_id = documents : document_id | documents_with_expenses : document_id = documents : document_id | documents_with_expenses : budget_type_code = ref_budget_codes : budget_type_code | accounts : statement_id = statements : statement_id</foreign_keys>"
Answer the following question with a SQL Statement:<question>What is the document type description for document type named Film?</question>
[SQL]:
| <SQL_QUERY>SELECT document_type_description FROM Ref_document_types WHERE document_type_name = "Film"</SQL_QUERY> | cre_Docs_and_Epenses | SELECT document_type_description FROM Ref_document_types WHERE document_type_name = "Film" | What is the document type description for document type named Film? | [Schema (values) (types)]: | cre_Docs_and_Epenses | Ref_Document_Types : document_type_code (text) , document_type_name (text) , document_type_description (text) | Ref_Budget_Codes : budget_type_code (text) , budget_type_description (text) | Projects : project_id (text) , project_details (text) | Documents : document_id (text) , document_type_code (text) , project_id (text) , document_date (text) , document_name (text) , document_description (text) , other_details (number) | Statements : statement_id (text) , statement_details (text) | Documents_with_Expenses : document_id (text) , budget_type_code (text) , document_details (text) | Accounts : account_id (text) , statement_id (text) , account_details (text); | [Primary Keys]: ref_document_types : document_type_code, ref_budget_codes : budget_type_code, projects : project_id, documents : document_id, statements : statement_id, documents_with_expenses : document_id, accounts : account_id | [Foreign Keys]: documents : project_id = projects : project_id | documents : document_type_code = ref_document_types : document_type_code | statements : statement_id = documents : document_id | documents_with_expenses : document_id = documents : document_id | documents_with_expenses : budget_type_code = ref_budget_codes : budget_type_code | accounts : statement_id = statements : statement_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)]: | cre_Docs_and_Epenses | Ref_Document_Types : document_type_code (text) , document_type_name (text) , document_type_description (text) | Ref_Budget_Codes : budget_type_code (text) , budget_type_description (text) | Projects : project_id (text) , project_details (text) | Documents : document_id (text) , document_type_code (text) , project_id (text) , document_date (text) , document_name (text) , document_description (text) , other_details (number) | Statements : statement_id (text) , statement_details (text) | Documents_with_Expenses : document_id (text) , budget_type_code (text) , document_details (text) | Accounts : account_id (text) , statement_id (text) , account_details (text);</schema>"
<primary_keys>[Primary Keys]: ref_document_types : document_type_code, ref_budget_codes : budget_type_code, projects : project_id, documents : document_id, statements : statement_id, documents_with_expenses : document_id, accounts : account_id</primary_keys>"
<foreign_keys>[Foreign Keys]: documents : project_id = projects : project_id | documents : document_type_code = ref_document_types : document_type_code | statements : statement_id = documents : document_id | documents_with_expenses : document_id = documents : document_id | documents_with_expenses : budget_type_code = ref_budget_codes : budget_type_code | accounts : statement_id = statements : statement_id</foreign_keys>"
Answer the following question with a SQL Statement:<question>Return the description of the document type name 'Film'.</question>
[SQL]:
| <SQL_QUERY>SELECT document_type_description FROM Ref_document_types WHERE document_type_name = "Film"</SQL_QUERY> | cre_Docs_and_Epenses | SELECT document_type_description FROM Ref_document_types WHERE document_type_name = "Film" | Return the description of the document type name 'Film'. | [Schema (values) (types)]: | cre_Docs_and_Epenses | Ref_Document_Types : document_type_code (text) , document_type_name (text) , document_type_description (text) | Ref_Budget_Codes : budget_type_code (text) , budget_type_description (text) | Projects : project_id (text) , project_details (text) | Documents : document_id (text) , document_type_code (text) , project_id (text) , document_date (text) , document_name (text) , document_description (text) , other_details (number) | Statements : statement_id (text) , statement_details (text) | Documents_with_Expenses : document_id (text) , budget_type_code (text) , document_details (text) | Accounts : account_id (text) , statement_id (text) , account_details (text); | [Primary Keys]: ref_document_types : document_type_code, ref_budget_codes : budget_type_code, projects : project_id, documents : document_id, statements : statement_id, documents_with_expenses : document_id, accounts : account_id | [Foreign Keys]: documents : project_id = projects : project_id | documents : document_type_code = ref_document_types : document_type_code | statements : statement_id = documents : document_id | documents_with_expenses : document_id = documents : document_id | documents_with_expenses : budget_type_code = ref_budget_codes : budget_type_code | accounts : statement_id = statements : statement_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)]: | cre_Docs_and_Epenses | Ref_Document_Types : document_type_code (text) , document_type_name (text) , document_type_description (text) | Ref_Budget_Codes : budget_type_code (text) , budget_type_description (text) | Projects : project_id (text) , project_details (text) | Documents : document_id (text) , document_type_code (text) , project_id (text) , document_date (text) , document_name (text) , document_description (text) , other_details (number) | Statements : statement_id (text) , statement_details (text) | Documents_with_Expenses : document_id (text) , budget_type_code (text) , document_details (text) | Accounts : account_id (text) , statement_id (text) , account_details (text);</schema>"
<primary_keys>[Primary Keys]: ref_document_types : document_type_code, ref_budget_codes : budget_type_code, projects : project_id, documents : document_id, statements : statement_id, documents_with_expenses : document_id, accounts : account_id</primary_keys>"
<foreign_keys>[Foreign Keys]: documents : project_id = projects : project_id | documents : document_type_code = ref_document_types : document_type_code | statements : statement_id = documents : document_id | documents_with_expenses : document_id = documents : document_id | documents_with_expenses : budget_type_code = ref_budget_codes : budget_type_code | accounts : statement_id = statements : statement_id</foreign_keys>"
Answer the following question with a SQL Statement:<question>What is the document type name and the document type description and creation date for all the documents?</question>
[SQL]:
| <SQL_QUERY>SELECT T1.document_type_name , T1.document_type_description , T2.Document_date FROM Ref_document_types AS T1 JOIN Documents AS T2 ON T1.document_type_code = T2.document_type_code</SQL_QUERY> | cre_Docs_and_Epenses | SELECT T1.document_type_name , T1.document_type_description , T2.Document_date FROM Ref_document_types AS T1 JOIN Documents AS T2 ON T1.document_type_code = T2.document_type_code | What is the document type name and the document type description and creation date for all the documents? | [Schema (values) (types)]: | cre_Docs_and_Epenses | Ref_Document_Types : document_type_code (text) , document_type_name (text) , document_type_description (text) | Ref_Budget_Codes : budget_type_code (text) , budget_type_description (text) | Projects : project_id (text) , project_details (text) | Documents : document_id (text) , document_type_code (text) , project_id (text) , document_date (text) , document_name (text) , document_description (text) , other_details (number) | Statements : statement_id (text) , statement_details (text) | Documents_with_Expenses : document_id (text) , budget_type_code (text) , document_details (text) | Accounts : account_id (text) , statement_id (text) , account_details (text); | [Primary Keys]: ref_document_types : document_type_code, ref_budget_codes : budget_type_code, projects : project_id, documents : document_id, statements : statement_id, documents_with_expenses : document_id, accounts : account_id | [Foreign Keys]: documents : project_id = projects : project_id | documents : document_type_code = ref_document_types : document_type_code | statements : statement_id = documents : document_id | documents_with_expenses : document_id = documents : document_id | documents_with_expenses : budget_type_code = ref_budget_codes : budget_type_code | accounts : statement_id = statements : statement_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)]: | cre_Docs_and_Epenses | Ref_Document_Types : document_type_code (text) , document_type_name (text) , document_type_description (text) | Ref_Budget_Codes : budget_type_code (text) , budget_type_description (text) | Projects : project_id (text) , project_details (text) | Documents : document_id (text) , document_type_code (text) , project_id (text) , document_date (text) , document_name (text) , document_description (text) , other_details (number) | Statements : statement_id (text) , statement_details (text) | Documents_with_Expenses : document_id (text) , budget_type_code (text) , document_details (text) | Accounts : account_id (text) , statement_id (text) , account_details (text);</schema>"
<primary_keys>[Primary Keys]: ref_document_types : document_type_code, ref_budget_codes : budget_type_code, projects : project_id, documents : document_id, statements : statement_id, documents_with_expenses : document_id, accounts : account_id</primary_keys>"
<foreign_keys>[Foreign Keys]: documents : project_id = projects : project_id | documents : document_type_code = ref_document_types : document_type_code | statements : statement_id = documents : document_id | documents_with_expenses : document_id = documents : document_id | documents_with_expenses : budget_type_code = ref_budget_codes : budget_type_code | accounts : statement_id = statements : statement_id</foreign_keys>"
Answer the following question with a SQL Statement:<question>Return the type name, type description, and date of creation for each document.</question>
[SQL]:
| <SQL_QUERY>SELECT T1.document_type_name , T1.document_type_description , T2.Document_date FROM Ref_document_types AS T1 JOIN Documents AS T2 ON T1.document_type_code = T2.document_type_code</SQL_QUERY> | cre_Docs_and_Epenses | SELECT T1.document_type_name , T1.document_type_description , T2.Document_date FROM Ref_document_types AS T1 JOIN Documents AS T2 ON T1.document_type_code = T2.document_type_code | Return the type name, type description, and date of creation for each document. | [Schema (values) (types)]: | cre_Docs_and_Epenses | Ref_Document_Types : document_type_code (text) , document_type_name (text) , document_type_description (text) | Ref_Budget_Codes : budget_type_code (text) , budget_type_description (text) | Projects : project_id (text) , project_details (text) | Documents : document_id (text) , document_type_code (text) , project_id (text) , document_date (text) , document_name (text) , document_description (text) , other_details (number) | Statements : statement_id (text) , statement_details (text) | Documents_with_Expenses : document_id (text) , budget_type_code (text) , document_details (text) | Accounts : account_id (text) , statement_id (text) , account_details (text); | [Primary Keys]: ref_document_types : document_type_code, ref_budget_codes : budget_type_code, projects : project_id, documents : document_id, statements : statement_id, documents_with_expenses : document_id, accounts : account_id | [Foreign Keys]: documents : project_id = projects : project_id | documents : document_type_code = ref_document_types : document_type_code | statements : statement_id = documents : document_id | documents_with_expenses : document_id = documents : document_id | documents_with_expenses : budget_type_code = ref_budget_codes : budget_type_code | accounts : statement_id = statements : statement_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)]: | cre_Docs_and_Epenses | Ref_Document_Types : document_type_code (text) , document_type_name (text) , document_type_description (text) | Ref_Budget_Codes : budget_type_code (text) , budget_type_description (text) | Projects : project_id (text) , project_details (text) | Documents : document_id (text) , document_type_code (text) , project_id (text) , document_date (text) , document_name (text) , document_description (text) , other_details (number) | Statements : statement_id (text) , statement_details (text) | Documents_with_Expenses : document_id (text) , budget_type_code (text) , document_details (text) | Accounts : account_id (text) , statement_id (text) , account_details (text);</schema>"
<primary_keys>[Primary Keys]: ref_document_types : document_type_code, ref_budget_codes : budget_type_code, projects : project_id, documents : document_id, statements : statement_id, documents_with_expenses : document_id, accounts : account_id</primary_keys>"
<foreign_keys>[Foreign Keys]: documents : project_id = projects : project_id | documents : document_type_code = ref_document_types : document_type_code | statements : statement_id = documents : document_id | documents_with_expenses : document_id = documents : document_id | documents_with_expenses : budget_type_code = ref_budget_codes : budget_type_code | accounts : statement_id = statements : statement_id</foreign_keys>"
Answer the following question with a SQL Statement:<question>Show the number of projects.</question>
[SQL]:
| <SQL_QUERY>SELECT count(*) FROM Projects</SQL_QUERY> | cre_Docs_and_Epenses | SELECT count(*) FROM Projects | Show the number of projects. | [Schema (values) (types)]: | cre_Docs_and_Epenses | Ref_Document_Types : document_type_code (text) , document_type_name (text) , document_type_description (text) | Ref_Budget_Codes : budget_type_code (text) , budget_type_description (text) | Projects : project_id (text) , project_details (text) | Documents : document_id (text) , document_type_code (text) , project_id (text) , document_date (text) , document_name (text) , document_description (text) , other_details (number) | Statements : statement_id (text) , statement_details (text) | Documents_with_Expenses : document_id (text) , budget_type_code (text) , document_details (text) | Accounts : account_id (text) , statement_id (text) , account_details (text); | [Primary Keys]: ref_document_types : document_type_code, ref_budget_codes : budget_type_code, projects : project_id, documents : document_id, statements : statement_id, documents_with_expenses : document_id, accounts : account_id | [Foreign Keys]: documents : project_id = projects : project_id | documents : document_type_code = ref_document_types : document_type_code | statements : statement_id = documents : document_id | documents_with_expenses : document_id = documents : document_id | documents_with_expenses : budget_type_code = ref_budget_codes : budget_type_code | accounts : statement_id = statements : statement_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)]: | cre_Docs_and_Epenses | Ref_Document_Types : document_type_code (text) , document_type_name (text) , document_type_description (text) | Ref_Budget_Codes : budget_type_code (text) , budget_type_description (text) | Projects : project_id (text) , project_details (text) | Documents : document_id (text) , document_type_code (text) , project_id (text) , document_date (text) , document_name (text) , document_description (text) , other_details (number) | Statements : statement_id (text) , statement_details (text) | Documents_with_Expenses : document_id (text) , budget_type_code (text) , document_details (text) | Accounts : account_id (text) , statement_id (text) , account_details (text);</schema>"
<primary_keys>[Primary Keys]: ref_document_types : document_type_code, ref_budget_codes : budget_type_code, projects : project_id, documents : document_id, statements : statement_id, documents_with_expenses : document_id, accounts : account_id</primary_keys>"
<foreign_keys>[Foreign Keys]: documents : project_id = projects : project_id | documents : document_type_code = ref_document_types : document_type_code | statements : statement_id = documents : document_id | documents_with_expenses : document_id = documents : document_id | documents_with_expenses : budget_type_code = ref_budget_codes : budget_type_code | accounts : statement_id = statements : statement_id</foreign_keys>"
Answer the following question with a SQL Statement:<question>How many projects are there?</question>
[SQL]:
| <SQL_QUERY>SELECT count(*) FROM Projects</SQL_QUERY> | cre_Docs_and_Epenses | SELECT count(*) FROM Projects | How many projects are there? | [Schema (values) (types)]: | cre_Docs_and_Epenses | Ref_Document_Types : document_type_code (text) , document_type_name (text) , document_type_description (text) | Ref_Budget_Codes : budget_type_code (text) , budget_type_description (text) | Projects : project_id (text) , project_details (text) | Documents : document_id (text) , document_type_code (text) , project_id (text) , document_date (text) , document_name (text) , document_description (text) , other_details (number) | Statements : statement_id (text) , statement_details (text) | Documents_with_Expenses : document_id (text) , budget_type_code (text) , document_details (text) | Accounts : account_id (text) , statement_id (text) , account_details (text); | [Primary Keys]: ref_document_types : document_type_code, ref_budget_codes : budget_type_code, projects : project_id, documents : document_id, statements : statement_id, documents_with_expenses : document_id, accounts : account_id | [Foreign Keys]: documents : project_id = projects : project_id | documents : document_type_code = ref_document_types : document_type_code | statements : statement_id = documents : document_id | documents_with_expenses : document_id = documents : document_id | documents_with_expenses : budget_type_code = ref_budget_codes : budget_type_code | accounts : statement_id = statements : statement_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)]: | cre_Docs_and_Epenses | Ref_Document_Types : document_type_code (text) , document_type_name (text) , document_type_description (text) | Ref_Budget_Codes : budget_type_code (text) , budget_type_description (text) | Projects : project_id (text) , project_details (text) | Documents : document_id (text) , document_type_code (text) , project_id (text) , document_date (text) , document_name (text) , document_description (text) , other_details (number) | Statements : statement_id (text) , statement_details (text) | Documents_with_Expenses : document_id (text) , budget_type_code (text) , document_details (text) | Accounts : account_id (text) , statement_id (text) , account_details (text);</schema>"
<primary_keys>[Primary Keys]: ref_document_types : document_type_code, ref_budget_codes : budget_type_code, projects : project_id, documents : document_id, statements : statement_id, documents_with_expenses : document_id, accounts : account_id</primary_keys>"
<foreign_keys>[Foreign Keys]: documents : project_id = projects : project_id | documents : document_type_code = ref_document_types : document_type_code | statements : statement_id = documents : document_id | documents_with_expenses : document_id = documents : document_id | documents_with_expenses : budget_type_code = ref_budget_codes : budget_type_code | accounts : statement_id = statements : statement_id</foreign_keys>"
Answer the following question with a SQL Statement:<question>List ids and details for all projects.</question>
[SQL]:
| <SQL_QUERY>SELECT project_id , project_details FROM Projects</SQL_QUERY> | cre_Docs_and_Epenses | SELECT project_id , project_details FROM Projects | List ids and details for all projects. | [Schema (values) (types)]: | cre_Docs_and_Epenses | Ref_Document_Types : document_type_code (text) , document_type_name (text) , document_type_description (text) | Ref_Budget_Codes : budget_type_code (text) , budget_type_description (text) | Projects : project_id (text) , project_details (text) | Documents : document_id (text) , document_type_code (text) , project_id (text) , document_date (text) , document_name (text) , document_description (text) , other_details (number) | Statements : statement_id (text) , statement_details (text) | Documents_with_Expenses : document_id (text) , budget_type_code (text) , document_details (text) | Accounts : account_id (text) , statement_id (text) , account_details (text); | [Primary Keys]: ref_document_types : document_type_code, ref_budget_codes : budget_type_code, projects : project_id, documents : document_id, statements : statement_id, documents_with_expenses : document_id, accounts : account_id | [Foreign Keys]: documents : project_id = projects : project_id | documents : document_type_code = ref_document_types : document_type_code | statements : statement_id = documents : document_id | documents_with_expenses : document_id = documents : document_id | documents_with_expenses : budget_type_code = ref_budget_codes : budget_type_code | accounts : statement_id = statements : statement_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)]: | cre_Docs_and_Epenses | Ref_Document_Types : document_type_code (text) , document_type_name (text) , document_type_description (text) | Ref_Budget_Codes : budget_type_code (text) , budget_type_description (text) | Projects : project_id (text) , project_details (text) | Documents : document_id (text) , document_type_code (text) , project_id (text) , document_date (text) , document_name (text) , document_description (text) , other_details (number) | Statements : statement_id (text) , statement_details (text) | Documents_with_Expenses : document_id (text) , budget_type_code (text) , document_details (text) | Accounts : account_id (text) , statement_id (text) , account_details (text);</schema>"
<primary_keys>[Primary Keys]: ref_document_types : document_type_code, ref_budget_codes : budget_type_code, projects : project_id, documents : document_id, statements : statement_id, documents_with_expenses : document_id, accounts : account_id</primary_keys>"
<foreign_keys>[Foreign Keys]: documents : project_id = projects : project_id | documents : document_type_code = ref_document_types : document_type_code | statements : statement_id = documents : document_id | documents_with_expenses : document_id = documents : document_id | documents_with_expenses : budget_type_code = ref_budget_codes : budget_type_code | accounts : statement_id = statements : statement_id</foreign_keys>"
Answer the following question with a SQL Statement:<question>What are the ids and details for each project?</question>
[SQL]:
| <SQL_QUERY>SELECT project_id , project_details FROM Projects</SQL_QUERY> | cre_Docs_and_Epenses | SELECT project_id , project_details FROM Projects | What are the ids and details for each project? | [Schema (values) (types)]: | cre_Docs_and_Epenses | Ref_Document_Types : document_type_code (text) , document_type_name (text) , document_type_description (text) | Ref_Budget_Codes : budget_type_code (text) , budget_type_description (text) | Projects : project_id (text) , project_details (text) | Documents : document_id (text) , document_type_code (text) , project_id (text) , document_date (text) , document_name (text) , document_description (text) , other_details (number) | Statements : statement_id (text) , statement_details (text) | Documents_with_Expenses : document_id (text) , budget_type_code (text) , document_details (text) | Accounts : account_id (text) , statement_id (text) , account_details (text); | [Primary Keys]: ref_document_types : document_type_code, ref_budget_codes : budget_type_code, projects : project_id, documents : document_id, statements : statement_id, documents_with_expenses : document_id, accounts : account_id | [Foreign Keys]: documents : project_id = projects : project_id | documents : document_type_code = ref_document_types : document_type_code | statements : statement_id = documents : document_id | documents_with_expenses : document_id = documents : document_id | documents_with_expenses : budget_type_code = ref_budget_codes : budget_type_code | accounts : statement_id = statements : statement_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)]: | cre_Docs_and_Epenses | Ref_Document_Types : document_type_code (text) , document_type_name (text) , document_type_description (text) | Ref_Budget_Codes : budget_type_code (text) , budget_type_description (text) | Projects : project_id (text) , project_details (text) | Documents : document_id (text) , document_type_code (text) , project_id (text) , document_date (text) , document_name (text) , document_description (text) , other_details (number) | Statements : statement_id (text) , statement_details (text) | Documents_with_Expenses : document_id (text) , budget_type_code (text) , document_details (text) | Accounts : account_id (text) , statement_id (text) , account_details (text);</schema>"
<primary_keys>[Primary Keys]: ref_document_types : document_type_code, ref_budget_codes : budget_type_code, projects : project_id, documents : document_id, statements : statement_id, documents_with_expenses : document_id, accounts : account_id</primary_keys>"
<foreign_keys>[Foreign Keys]: documents : project_id = projects : project_id | documents : document_type_code = ref_document_types : document_type_code | statements : statement_id = documents : document_id | documents_with_expenses : document_id = documents : document_id | documents_with_expenses : budget_type_code = ref_budget_codes : budget_type_code | accounts : statement_id = statements : statement_id</foreign_keys>"
Answer the following question with a SQL Statement:<question>What is the project id and detail for the project with at least two documents?</question>
[SQL]:
| <SQL_QUERY>SELECT T1.project_id , T1.project_details FROM Projects AS T1 JOIN Documents AS T2 ON T1.project_id = T2.project_id GROUP BY T1.project_id HAVING count(*) > 2</SQL_QUERY> | cre_Docs_and_Epenses | SELECT T1.project_id , T1.project_details FROM Projects AS T1 JOIN Documents AS T2 ON T1.project_id = T2.project_id GROUP BY T1.project_id HAVING count(*) > 2 | What is the project id and detail for the project with at least two documents? | [Schema (values) (types)]: | cre_Docs_and_Epenses | Ref_Document_Types : document_type_code (text) , document_type_name (text) , document_type_description (text) | Ref_Budget_Codes : budget_type_code (text) , budget_type_description (text) | Projects : project_id (text) , project_details (text) | Documents : document_id (text) , document_type_code (text) , project_id (text) , document_date (text) , document_name (text) , document_description (text) , other_details (number) | Statements : statement_id (text) , statement_details (text) | Documents_with_Expenses : document_id (text) , budget_type_code (text) , document_details (text) | Accounts : account_id (text) , statement_id (text) , account_details (text); | [Primary Keys]: ref_document_types : document_type_code, ref_budget_codes : budget_type_code, projects : project_id, documents : document_id, statements : statement_id, documents_with_expenses : document_id, accounts : account_id | [Foreign Keys]: documents : project_id = projects : project_id | documents : document_type_code = ref_document_types : document_type_code | statements : statement_id = documents : document_id | documents_with_expenses : document_id = documents : document_id | documents_with_expenses : budget_type_code = ref_budget_codes : budget_type_code | accounts : statement_id = statements : statement_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)]: | cre_Docs_and_Epenses | Ref_Document_Types : document_type_code (text) , document_type_name (text) , document_type_description (text) | Ref_Budget_Codes : budget_type_code (text) , budget_type_description (text) | Projects : project_id (text) , project_details (text) | Documents : document_id (text) , document_type_code (text) , project_id (text) , document_date (text) , document_name (text) , document_description (text) , other_details (number) | Statements : statement_id (text) , statement_details (text) | Documents_with_Expenses : document_id (text) , budget_type_code (text) , document_details (text) | Accounts : account_id (text) , statement_id (text) , account_details (text);</schema>"
<primary_keys>[Primary Keys]: ref_document_types : document_type_code, ref_budget_codes : budget_type_code, projects : project_id, documents : document_id, statements : statement_id, documents_with_expenses : document_id, accounts : account_id</primary_keys>"
<foreign_keys>[Foreign Keys]: documents : project_id = projects : project_id | documents : document_type_code = ref_document_types : document_type_code | statements : statement_id = documents : document_id | documents_with_expenses : document_id = documents : document_id | documents_with_expenses : budget_type_code = ref_budget_codes : budget_type_code | accounts : statement_id = statements : statement_id</foreign_keys>"
Answer the following question with a SQL Statement:<question>Return the ids and details corresponding to projects for which there are more than two documents.</question>
[SQL]:
| <SQL_QUERY>SELECT T1.project_id , T1.project_details FROM Projects AS T1 JOIN Documents AS T2 ON T1.project_id = T2.project_id GROUP BY T1.project_id HAVING count(*) > 2</SQL_QUERY> | cre_Docs_and_Epenses | SELECT T1.project_id , T1.project_details FROM Projects AS T1 JOIN Documents AS T2 ON T1.project_id = T2.project_id GROUP BY T1.project_id HAVING count(*) > 2 | Return the ids and details corresponding to projects for which there are more than two documents. | [Schema (values) (types)]: | cre_Docs_and_Epenses | Ref_Document_Types : document_type_code (text) , document_type_name (text) , document_type_description (text) | Ref_Budget_Codes : budget_type_code (text) , budget_type_description (text) | Projects : project_id (text) , project_details (text) | Documents : document_id (text) , document_type_code (text) , project_id (text) , document_date (text) , document_name (text) , document_description (text) , other_details (number) | Statements : statement_id (text) , statement_details (text) | Documents_with_Expenses : document_id (text) , budget_type_code (text) , document_details (text) | Accounts : account_id (text) , statement_id (text) , account_details (text); | [Primary Keys]: ref_document_types : document_type_code, ref_budget_codes : budget_type_code, projects : project_id, documents : document_id, statements : statement_id, documents_with_expenses : document_id, accounts : account_id | [Foreign Keys]: documents : project_id = projects : project_id | documents : document_type_code = ref_document_types : document_type_code | statements : statement_id = documents : document_id | documents_with_expenses : document_id = documents : document_id | documents_with_expenses : budget_type_code = ref_budget_codes : budget_type_code | accounts : statement_id = statements : statement_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)]: | cre_Docs_and_Epenses | Ref_Document_Types : document_type_code (text) , document_type_name (text) , document_type_description (text) | Ref_Budget_Codes : budget_type_code (text) , budget_type_description (text) | Projects : project_id (text) , project_details (text) | Documents : document_id (text) , document_type_code (text) , project_id (text) , document_date (text) , document_name (text) , document_description (text) , other_details (number) | Statements : statement_id (text) , statement_details (text) | Documents_with_Expenses : document_id (text) , budget_type_code (text) , document_details (text) | Accounts : account_id (text) , statement_id (text) , account_details (text);</schema>"
<primary_keys>[Primary Keys]: ref_document_types : document_type_code, ref_budget_codes : budget_type_code, projects : project_id, documents : document_id, statements : statement_id, documents_with_expenses : document_id, accounts : account_id</primary_keys>"
<foreign_keys>[Foreign Keys]: documents : project_id = projects : project_id | documents : document_type_code = ref_document_types : document_type_code | statements : statement_id = documents : document_id | documents_with_expenses : document_id = documents : document_id | documents_with_expenses : budget_type_code = ref_budget_codes : budget_type_code | accounts : statement_id = statements : statement_id</foreign_keys>"
Answer the following question with a SQL Statement:<question>What is the project detail for the project with document "King Book"?</question>
[SQL]:
| <SQL_QUERY>SELECT T1.project_details FROM Projects AS T1 JOIN Documents AS T2 ON T1.project_id = T2.project_id WHERE T2.document_name = "King Book"</SQL_QUERY> | cre_Docs_and_Epenses | SELECT T1.project_details FROM Projects AS T1 JOIN Documents AS T2 ON T1.project_id = T2.project_id WHERE T2.document_name = "King Book" | What is the project detail for the project with document "King Book"? | [Schema (values) (types)]: | cre_Docs_and_Epenses | Ref_Document_Types : document_type_code (text) , document_type_name (text) , document_type_description (text) | Ref_Budget_Codes : budget_type_code (text) , budget_type_description (text) | Projects : project_id (text) , project_details (text) | Documents : document_id (text) , document_type_code (text) , project_id (text) , document_date (text) , document_name (text) , document_description (text) , other_details (number) | Statements : statement_id (text) , statement_details (text) | Documents_with_Expenses : document_id (text) , budget_type_code (text) , document_details (text) | Accounts : account_id (text) , statement_id (text) , account_details (text); | [Primary Keys]: ref_document_types : document_type_code, ref_budget_codes : budget_type_code, projects : project_id, documents : document_id, statements : statement_id, documents_with_expenses : document_id, accounts : account_id | [Foreign Keys]: documents : project_id = projects : project_id | documents : document_type_code = ref_document_types : document_type_code | statements : statement_id = documents : document_id | documents_with_expenses : document_id = documents : document_id | documents_with_expenses : budget_type_code = ref_budget_codes : budget_type_code | accounts : statement_id = statements : statement_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)]: | cre_Docs_and_Epenses | Ref_Document_Types : document_type_code (text) , document_type_name (text) , document_type_description (text) | Ref_Budget_Codes : budget_type_code (text) , budget_type_description (text) | Projects : project_id (text) , project_details (text) | Documents : document_id (text) , document_type_code (text) , project_id (text) , document_date (text) , document_name (text) , document_description (text) , other_details (number) | Statements : statement_id (text) , statement_details (text) | Documents_with_Expenses : document_id (text) , budget_type_code (text) , document_details (text) | Accounts : account_id (text) , statement_id (text) , account_details (text);</schema>"
<primary_keys>[Primary Keys]: ref_document_types : document_type_code, ref_budget_codes : budget_type_code, projects : project_id, documents : document_id, statements : statement_id, documents_with_expenses : document_id, accounts : account_id</primary_keys>"
<foreign_keys>[Foreign Keys]: documents : project_id = projects : project_id | documents : document_type_code = ref_document_types : document_type_code | statements : statement_id = documents : document_id | documents_with_expenses : document_id = documents : document_id | documents_with_expenses : budget_type_code = ref_budget_codes : budget_type_code | accounts : statement_id = statements : statement_id</foreign_keys>"
Answer the following question with a SQL Statement:<question>Give the details of the project with the document name 'King Book'.</question>
[SQL]:
| <SQL_QUERY>SELECT T1.project_details FROM Projects AS T1 JOIN Documents AS T2 ON T1.project_id = T2.project_id WHERE T2.document_name = "King Book"</SQL_QUERY> | cre_Docs_and_Epenses | SELECT T1.project_details FROM Projects AS T1 JOIN Documents AS T2 ON T1.project_id = T2.project_id WHERE T2.document_name = "King Book" | Give the details of the project with the document name 'King Book'. | [Schema (values) (types)]: | cre_Docs_and_Epenses | Ref_Document_Types : document_type_code (text) , document_type_name (text) , document_type_description (text) | Ref_Budget_Codes : budget_type_code (text) , budget_type_description (text) | Projects : project_id (text) , project_details (text) | Documents : document_id (text) , document_type_code (text) , project_id (text) , document_date (text) , document_name (text) , document_description (text) , other_details (number) | Statements : statement_id (text) , statement_details (text) | Documents_with_Expenses : document_id (text) , budget_type_code (text) , document_details (text) | Accounts : account_id (text) , statement_id (text) , account_details (text); | [Primary Keys]: ref_document_types : document_type_code, ref_budget_codes : budget_type_code, projects : project_id, documents : document_id, statements : statement_id, documents_with_expenses : document_id, accounts : account_id | [Foreign Keys]: documents : project_id = projects : project_id | documents : document_type_code = ref_document_types : document_type_code | statements : statement_id = documents : document_id | documents_with_expenses : document_id = documents : document_id | documents_with_expenses : budget_type_code = ref_budget_codes : budget_type_code | accounts : statement_id = statements : statement_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)]: | cre_Docs_and_Epenses | Ref_Document_Types : document_type_code (text) , document_type_name (text) , document_type_description (text) | Ref_Budget_Codes : budget_type_code (text) , budget_type_description (text) | Projects : project_id (text) , project_details (text) | Documents : document_id (text) , document_type_code (text) , project_id (text) , document_date (text) , document_name (text) , document_description (text) , other_details (number) | Statements : statement_id (text) , statement_details (text) | Documents_with_Expenses : document_id (text) , budget_type_code (text) , document_details (text) | Accounts : account_id (text) , statement_id (text) , account_details (text);</schema>"
<primary_keys>[Primary Keys]: ref_document_types : document_type_code, ref_budget_codes : budget_type_code, projects : project_id, documents : document_id, statements : statement_id, documents_with_expenses : document_id, accounts : account_id</primary_keys>"
<foreign_keys>[Foreign Keys]: documents : project_id = projects : project_id | documents : document_type_code = ref_document_types : document_type_code | statements : statement_id = documents : document_id | documents_with_expenses : document_id = documents : document_id | documents_with_expenses : budget_type_code = ref_budget_codes : budget_type_code | accounts : statement_id = statements : statement_id</foreign_keys>"
Answer the following question with a SQL Statement:<question>How many budget types do we have?</question>
[SQL]:
| <SQL_QUERY>SELECT count(*) FROM Ref_budget_codes</SQL_QUERY> | cre_Docs_and_Epenses | SELECT count(*) FROM Ref_budget_codes | How many budget types do we have? | [Schema (values) (types)]: | cre_Docs_and_Epenses | Ref_Document_Types : document_type_code (text) , document_type_name (text) , document_type_description (text) | Ref_Budget_Codes : budget_type_code (text) , budget_type_description (text) | Projects : project_id (text) , project_details (text) | Documents : document_id (text) , document_type_code (text) , project_id (text) , document_date (text) , document_name (text) , document_description (text) , other_details (number) | Statements : statement_id (text) , statement_details (text) | Documents_with_Expenses : document_id (text) , budget_type_code (text) , document_details (text) | Accounts : account_id (text) , statement_id (text) , account_details (text); | [Primary Keys]: ref_document_types : document_type_code, ref_budget_codes : budget_type_code, projects : project_id, documents : document_id, statements : statement_id, documents_with_expenses : document_id, accounts : account_id | [Foreign Keys]: documents : project_id = projects : project_id | documents : document_type_code = ref_document_types : document_type_code | statements : statement_id = documents : document_id | documents_with_expenses : document_id = documents : document_id | documents_with_expenses : budget_type_code = ref_budget_codes : budget_type_code | accounts : statement_id = statements : statement_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)]: | cre_Docs_and_Epenses | Ref_Document_Types : document_type_code (text) , document_type_name (text) , document_type_description (text) | Ref_Budget_Codes : budget_type_code (text) , budget_type_description (text) | Projects : project_id (text) , project_details (text) | Documents : document_id (text) , document_type_code (text) , project_id (text) , document_date (text) , document_name (text) , document_description (text) , other_details (number) | Statements : statement_id (text) , statement_details (text) | Documents_with_Expenses : document_id (text) , budget_type_code (text) , document_details (text) | Accounts : account_id (text) , statement_id (text) , account_details (text);</schema>"
<primary_keys>[Primary Keys]: ref_document_types : document_type_code, ref_budget_codes : budget_type_code, projects : project_id, documents : document_id, statements : statement_id, documents_with_expenses : document_id, accounts : account_id</primary_keys>"
<foreign_keys>[Foreign Keys]: documents : project_id = projects : project_id | documents : document_type_code = ref_document_types : document_type_code | statements : statement_id = documents : document_id | documents_with_expenses : document_id = documents : document_id | documents_with_expenses : budget_type_code = ref_budget_codes : budget_type_code | accounts : statement_id = statements : statement_id</foreign_keys>"
Answer the following question with a SQL Statement:<question>Count the number of budget codes.</question>
[SQL]:
| <SQL_QUERY>SELECT count(*) FROM Ref_budget_codes</SQL_QUERY> | cre_Docs_and_Epenses | SELECT count(*) FROM Ref_budget_codes | Count the number of budget codes. | [Schema (values) (types)]: | cre_Docs_and_Epenses | Ref_Document_Types : document_type_code (text) , document_type_name (text) , document_type_description (text) | Ref_Budget_Codes : budget_type_code (text) , budget_type_description (text) | Projects : project_id (text) , project_details (text) | Documents : document_id (text) , document_type_code (text) , project_id (text) , document_date (text) , document_name (text) , document_description (text) , other_details (number) | Statements : statement_id (text) , statement_details (text) | Documents_with_Expenses : document_id (text) , budget_type_code (text) , document_details (text) | Accounts : account_id (text) , statement_id (text) , account_details (text); | [Primary Keys]: ref_document_types : document_type_code, ref_budget_codes : budget_type_code, projects : project_id, documents : document_id, statements : statement_id, documents_with_expenses : document_id, accounts : account_id | [Foreign Keys]: documents : project_id = projects : project_id | documents : document_type_code = ref_document_types : document_type_code | statements : statement_id = documents : document_id | documents_with_expenses : document_id = documents : document_id | documents_with_expenses : budget_type_code = ref_budget_codes : budget_type_code | accounts : statement_id = statements : statement_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)]: | cre_Docs_and_Epenses | Ref_Document_Types : document_type_code (text) , document_type_name (text) , document_type_description (text) | Ref_Budget_Codes : budget_type_code (text) , budget_type_description (text) | Projects : project_id (text) , project_details (text) | Documents : document_id (text) , document_type_code (text) , project_id (text) , document_date (text) , document_name (text) , document_description (text) , other_details (number) | Statements : statement_id (text) , statement_details (text) | Documents_with_Expenses : document_id (text) , budget_type_code (text) , document_details (text) | Accounts : account_id (text) , statement_id (text) , account_details (text);</schema>"
<primary_keys>[Primary Keys]: ref_document_types : document_type_code, ref_budget_codes : budget_type_code, projects : project_id, documents : document_id, statements : statement_id, documents_with_expenses : document_id, accounts : account_id</primary_keys>"
<foreign_keys>[Foreign Keys]: documents : project_id = projects : project_id | documents : document_type_code = ref_document_types : document_type_code | statements : statement_id = documents : document_id | documents_with_expenses : document_id = documents : document_id | documents_with_expenses : budget_type_code = ref_budget_codes : budget_type_code | accounts : statement_id = statements : statement_id</foreign_keys>"
Answer the following question with a SQL Statement:<question>List all budget type codes and descriptions.</question>
[SQL]:
| <SQL_QUERY>SELECT budget_type_code , budget_type_description FROM Ref_budget_codes</SQL_QUERY> | cre_Docs_and_Epenses | SELECT budget_type_code , budget_type_description FROM Ref_budget_codes | List all budget type codes and descriptions. | [Schema (values) (types)]: | cre_Docs_and_Epenses | Ref_Document_Types : document_type_code (text) , document_type_name (text) , document_type_description (text) | Ref_Budget_Codes : budget_type_code (text) , budget_type_description (text) | Projects : project_id (text) , project_details (text) | Documents : document_id (text) , document_type_code (text) , project_id (text) , document_date (text) , document_name (text) , document_description (text) , other_details (number) | Statements : statement_id (text) , statement_details (text) | Documents_with_Expenses : document_id (text) , budget_type_code (text) , document_details (text) | Accounts : account_id (text) , statement_id (text) , account_details (text); | [Primary Keys]: ref_document_types : document_type_code, ref_budget_codes : budget_type_code, projects : project_id, documents : document_id, statements : statement_id, documents_with_expenses : document_id, accounts : account_id | [Foreign Keys]: documents : project_id = projects : project_id | documents : document_type_code = ref_document_types : document_type_code | statements : statement_id = documents : document_id | documents_with_expenses : document_id = documents : document_id | documents_with_expenses : budget_type_code = ref_budget_codes : budget_type_code | accounts : statement_id = statements : statement_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)]: | cre_Docs_and_Epenses | Ref_Document_Types : document_type_code (text) , document_type_name (text) , document_type_description (text) | Ref_Budget_Codes : budget_type_code (text) , budget_type_description (text) | Projects : project_id (text) , project_details (text) | Documents : document_id (text) , document_type_code (text) , project_id (text) , document_date (text) , document_name (text) , document_description (text) , other_details (number) | Statements : statement_id (text) , statement_details (text) | Documents_with_Expenses : document_id (text) , budget_type_code (text) , document_details (text) | Accounts : account_id (text) , statement_id (text) , account_details (text);</schema>"
<primary_keys>[Primary Keys]: ref_document_types : document_type_code, ref_budget_codes : budget_type_code, projects : project_id, documents : document_id, statements : statement_id, documents_with_expenses : document_id, accounts : account_id</primary_keys>"
<foreign_keys>[Foreign Keys]: documents : project_id = projects : project_id | documents : document_type_code = ref_document_types : document_type_code | statements : statement_id = documents : document_id | documents_with_expenses : document_id = documents : document_id | documents_with_expenses : budget_type_code = ref_budget_codes : budget_type_code | accounts : statement_id = statements : statement_id</foreign_keys>"
Answer the following question with a SQL Statement:<question>What are the type codes and descriptions of each budget type?</question>
[SQL]:
| <SQL_QUERY>SELECT budget_type_code , budget_type_description FROM Ref_budget_codes</SQL_QUERY> | cre_Docs_and_Epenses | SELECT budget_type_code , budget_type_description FROM Ref_budget_codes | What are the type codes and descriptions of each budget type? | [Schema (values) (types)]: | cre_Docs_and_Epenses | Ref_Document_Types : document_type_code (text) , document_type_name (text) , document_type_description (text) | Ref_Budget_Codes : budget_type_code (text) , budget_type_description (text) | Projects : project_id (text) , project_details (text) | Documents : document_id (text) , document_type_code (text) , project_id (text) , document_date (text) , document_name (text) , document_description (text) , other_details (number) | Statements : statement_id (text) , statement_details (text) | Documents_with_Expenses : document_id (text) , budget_type_code (text) , document_details (text) | Accounts : account_id (text) , statement_id (text) , account_details (text); | [Primary Keys]: ref_document_types : document_type_code, ref_budget_codes : budget_type_code, projects : project_id, documents : document_id, statements : statement_id, documents_with_expenses : document_id, accounts : account_id | [Foreign Keys]: documents : project_id = projects : project_id | documents : document_type_code = ref_document_types : document_type_code | statements : statement_id = documents : document_id | documents_with_expenses : document_id = documents : document_id | documents_with_expenses : budget_type_code = ref_budget_codes : budget_type_code | accounts : statement_id = statements : statement_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)]: | cre_Docs_and_Epenses | Ref_Document_Types : document_type_code (text) , document_type_name (text) , document_type_description (text) | Ref_Budget_Codes : budget_type_code (text) , budget_type_description (text) | Projects : project_id (text) , project_details (text) | Documents : document_id (text) , document_type_code (text) , project_id (text) , document_date (text) , document_name (text) , document_description (text) , other_details (number) | Statements : statement_id (text) , statement_details (text) | Documents_with_Expenses : document_id (text) , budget_type_code (text) , document_details (text) | Accounts : account_id (text) , statement_id (text) , account_details (text);</schema>"
<primary_keys>[Primary Keys]: ref_document_types : document_type_code, ref_budget_codes : budget_type_code, projects : project_id, documents : document_id, statements : statement_id, documents_with_expenses : document_id, accounts : account_id</primary_keys>"
<foreign_keys>[Foreign Keys]: documents : project_id = projects : project_id | documents : document_type_code = ref_document_types : document_type_code | statements : statement_id = documents : document_id | documents_with_expenses : document_id = documents : document_id | documents_with_expenses : budget_type_code = ref_budget_codes : budget_type_code | accounts : statement_id = statements : statement_id</foreign_keys>"
Answer the following question with a SQL Statement:<question>What is the description for the budget type with code ORG?</question>
[SQL]:
| <SQL_QUERY>SELECT budget_type_description FROM Ref_budget_codes WHERE budget_type_code = "ORG"</SQL_QUERY> | cre_Docs_and_Epenses | SELECT budget_type_description FROM Ref_budget_codes WHERE budget_type_code = "ORG" | What is the description for the budget type with code ORG? | [Schema (values) (types)]: | cre_Docs_and_Epenses | Ref_Document_Types : document_type_code (text) , document_type_name (text) , document_type_description (text) | Ref_Budget_Codes : budget_type_code (text) , budget_type_description (text) | Projects : project_id (text) , project_details (text) | Documents : document_id (text) , document_type_code (text) , project_id (text) , document_date (text) , document_name (text) , document_description (text) , other_details (number) | Statements : statement_id (text) , statement_details (text) | Documents_with_Expenses : document_id (text) , budget_type_code (text) , document_details (text) | Accounts : account_id (text) , statement_id (text) , account_details (text); | [Primary Keys]: ref_document_types : document_type_code, ref_budget_codes : budget_type_code, projects : project_id, documents : document_id, statements : statement_id, documents_with_expenses : document_id, accounts : account_id | [Foreign Keys]: documents : project_id = projects : project_id | documents : document_type_code = ref_document_types : document_type_code | statements : statement_id = documents : document_id | documents_with_expenses : document_id = documents : document_id | documents_with_expenses : budget_type_code = ref_budget_codes : budget_type_code | accounts : statement_id = statements : statement_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)]: | cre_Docs_and_Epenses | Ref_Document_Types : document_type_code (text) , document_type_name (text) , document_type_description (text) | Ref_Budget_Codes : budget_type_code (text) , budget_type_description (text) | Projects : project_id (text) , project_details (text) | Documents : document_id (text) , document_type_code (text) , project_id (text) , document_date (text) , document_name (text) , document_description (text) , other_details (number) | Statements : statement_id (text) , statement_details (text) | Documents_with_Expenses : document_id (text) , budget_type_code (text) , document_details (text) | Accounts : account_id (text) , statement_id (text) , account_details (text);</schema>"
<primary_keys>[Primary Keys]: ref_document_types : document_type_code, ref_budget_codes : budget_type_code, projects : project_id, documents : document_id, statements : statement_id, documents_with_expenses : document_id, accounts : account_id</primary_keys>"
<foreign_keys>[Foreign Keys]: documents : project_id = projects : project_id | documents : document_type_code = ref_document_types : document_type_code | statements : statement_id = documents : document_id | documents_with_expenses : document_id = documents : document_id | documents_with_expenses : budget_type_code = ref_budget_codes : budget_type_code | accounts : statement_id = statements : statement_id</foreign_keys>"
Answer the following question with a SQL Statement:<question>Return the description of the budget type that has the code ORG.</question>
[SQL]:
| <SQL_QUERY>SELECT budget_type_description FROM Ref_budget_codes WHERE budget_type_code = "ORG"</SQL_QUERY> | cre_Docs_and_Epenses | SELECT budget_type_description FROM Ref_budget_codes WHERE budget_type_code = "ORG" | Return the description of the budget type that has the code ORG. | [Schema (values) (types)]: | cre_Docs_and_Epenses | Ref_Document_Types : document_type_code (text) , document_type_name (text) , document_type_description (text) | Ref_Budget_Codes : budget_type_code (text) , budget_type_description (text) | Projects : project_id (text) , project_details (text) | Documents : document_id (text) , document_type_code (text) , project_id (text) , document_date (text) , document_name (text) , document_description (text) , other_details (number) | Statements : statement_id (text) , statement_details (text) | Documents_with_Expenses : document_id (text) , budget_type_code (text) , document_details (text) | Accounts : account_id (text) , statement_id (text) , account_details (text); | [Primary Keys]: ref_document_types : document_type_code, ref_budget_codes : budget_type_code, projects : project_id, documents : document_id, statements : statement_id, documents_with_expenses : document_id, accounts : account_id | [Foreign Keys]: documents : project_id = projects : project_id | documents : document_type_code = ref_document_types : document_type_code | statements : statement_id = documents : document_id | documents_with_expenses : document_id = documents : document_id | documents_with_expenses : budget_type_code = ref_budget_codes : budget_type_code | accounts : statement_id = statements : statement_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)]: | cre_Docs_and_Epenses | Ref_Document_Types : document_type_code (text) , document_type_name (text) , document_type_description (text) | Ref_Budget_Codes : budget_type_code (text) , budget_type_description (text) | Projects : project_id (text) , project_details (text) | Documents : document_id (text) , document_type_code (text) , project_id (text) , document_date (text) , document_name (text) , document_description (text) , other_details (number) | Statements : statement_id (text) , statement_details (text) | Documents_with_Expenses : document_id (text) , budget_type_code (text) , document_details (text) | Accounts : account_id (text) , statement_id (text) , account_details (text);</schema>"
<primary_keys>[Primary Keys]: ref_document_types : document_type_code, ref_budget_codes : budget_type_code, projects : project_id, documents : document_id, statements : statement_id, documents_with_expenses : document_id, accounts : account_id</primary_keys>"
<foreign_keys>[Foreign Keys]: documents : project_id = projects : project_id | documents : document_type_code = ref_document_types : document_type_code | statements : statement_id = documents : document_id | documents_with_expenses : document_id = documents : document_id | documents_with_expenses : budget_type_code = ref_budget_codes : budget_type_code | accounts : statement_id = statements : statement_id</foreign_keys>"
Answer the following question with a SQL Statement:<question>How many documents have expenses?</question>
[SQL]:
| <SQL_QUERY>SELECT count(*) FROM Documents_with_expenses</SQL_QUERY> | cre_Docs_and_Epenses | SELECT count(*) FROM Documents_with_expenses | How many documents have expenses? | [Schema (values) (types)]: | cre_Docs_and_Epenses | Ref_Document_Types : document_type_code (text) , document_type_name (text) , document_type_description (text) | Ref_Budget_Codes : budget_type_code (text) , budget_type_description (text) | Projects : project_id (text) , project_details (text) | Documents : document_id (text) , document_type_code (text) , project_id (text) , document_date (text) , document_name (text) , document_description (text) , other_details (number) | Statements : statement_id (text) , statement_details (text) | Documents_with_Expenses : document_id (text) , budget_type_code (text) , document_details (text) | Accounts : account_id (text) , statement_id (text) , account_details (text); | [Primary Keys]: ref_document_types : document_type_code, ref_budget_codes : budget_type_code, projects : project_id, documents : document_id, statements : statement_id, documents_with_expenses : document_id, accounts : account_id | [Foreign Keys]: documents : project_id = projects : project_id | documents : document_type_code = ref_document_types : document_type_code | statements : statement_id = documents : document_id | documents_with_expenses : document_id = documents : document_id | documents_with_expenses : budget_type_code = ref_budget_codes : budget_type_code | accounts : statement_id = statements : statement_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)]: | cre_Docs_and_Epenses | Ref_Document_Types : document_type_code (text) , document_type_name (text) , document_type_description (text) | Ref_Budget_Codes : budget_type_code (text) , budget_type_description (text) | Projects : project_id (text) , project_details (text) | Documents : document_id (text) , document_type_code (text) , project_id (text) , document_date (text) , document_name (text) , document_description (text) , other_details (number) | Statements : statement_id (text) , statement_details (text) | Documents_with_Expenses : document_id (text) , budget_type_code (text) , document_details (text) | Accounts : account_id (text) , statement_id (text) , account_details (text);</schema>"
<primary_keys>[Primary Keys]: ref_document_types : document_type_code, ref_budget_codes : budget_type_code, projects : project_id, documents : document_id, statements : statement_id, documents_with_expenses : document_id, accounts : account_id</primary_keys>"
<foreign_keys>[Foreign Keys]: documents : project_id = projects : project_id | documents : document_type_code = ref_document_types : document_type_code | statements : statement_id = documents : document_id | documents_with_expenses : document_id = documents : document_id | documents_with_expenses : budget_type_code = ref_budget_codes : budget_type_code | accounts : statement_id = statements : statement_id</foreign_keys>"
Answer the following question with a SQL Statement:<question>Count the number of documents with expenses.</question>
[SQL]:
| <SQL_QUERY>SELECT count(*) FROM Documents_with_expenses</SQL_QUERY> | cre_Docs_and_Epenses | SELECT count(*) FROM Documents_with_expenses | Count the number of documents with expenses. | [Schema (values) (types)]: | cre_Docs_and_Epenses | Ref_Document_Types : document_type_code (text) , document_type_name (text) , document_type_description (text) | Ref_Budget_Codes : budget_type_code (text) , budget_type_description (text) | Projects : project_id (text) , project_details (text) | Documents : document_id (text) , document_type_code (text) , project_id (text) , document_date (text) , document_name (text) , document_description (text) , other_details (number) | Statements : statement_id (text) , statement_details (text) | Documents_with_Expenses : document_id (text) , budget_type_code (text) , document_details (text) | Accounts : account_id (text) , statement_id (text) , account_details (text); | [Primary Keys]: ref_document_types : document_type_code, ref_budget_codes : budget_type_code, projects : project_id, documents : document_id, statements : statement_id, documents_with_expenses : document_id, accounts : account_id | [Foreign Keys]: documents : project_id = projects : project_id | documents : document_type_code = ref_document_types : document_type_code | statements : statement_id = documents : document_id | documents_with_expenses : document_id = documents : document_id | documents_with_expenses : budget_type_code = ref_budget_codes : budget_type_code | accounts : statement_id = statements : statement_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)]: | cre_Docs_and_Epenses | Ref_Document_Types : document_type_code (text) , document_type_name (text) , document_type_description (text) | Ref_Budget_Codes : budget_type_code (text) , budget_type_description (text) | Projects : project_id (text) , project_details (text) | Documents : document_id (text) , document_type_code (text) , project_id (text) , document_date (text) , document_name (text) , document_description (text) , other_details (number) | Statements : statement_id (text) , statement_details (text) | Documents_with_Expenses : document_id (text) , budget_type_code (text) , document_details (text) | Accounts : account_id (text) , statement_id (text) , account_details (text);</schema>"
<primary_keys>[Primary Keys]: ref_document_types : document_type_code, ref_budget_codes : budget_type_code, projects : project_id, documents : document_id, statements : statement_id, documents_with_expenses : document_id, accounts : account_id</primary_keys>"
<foreign_keys>[Foreign Keys]: documents : project_id = projects : project_id | documents : document_type_code = ref_document_types : document_type_code | statements : statement_id = documents : document_id | documents_with_expenses : document_id = documents : document_id | documents_with_expenses : budget_type_code = ref_budget_codes : budget_type_code | accounts : statement_id = statements : statement_id</foreign_keys>"
Answer the following question with a SQL Statement:<question>What are the document ids for the budget type code 'SF'?</question>
[SQL]:
| <SQL_QUERY>SELECT document_id FROM Documents_with_expenses WHERE budget_type_code = 'SF'</SQL_QUERY> | cre_Docs_and_Epenses | SELECT document_id FROM Documents_with_expenses WHERE budget_type_code = 'SF' | What are the document ids for the budget type code 'SF'? | [Schema (values) (types)]: | cre_Docs_and_Epenses | Ref_Document_Types : document_type_code (text) , document_type_name (text) , document_type_description (text) | Ref_Budget_Codes : budget_type_code (text) , budget_type_description (text) | Projects : project_id (text) , project_details (text) | Documents : document_id (text) , document_type_code (text) , project_id (text) , document_date (text) , document_name (text) , document_description (text) , other_details (number) | Statements : statement_id (text) , statement_details (text) | Documents_with_Expenses : document_id (text) , budget_type_code (text) , document_details (text) | Accounts : account_id (text) , statement_id (text) , account_details (text); | [Primary Keys]: ref_document_types : document_type_code, ref_budget_codes : budget_type_code, projects : project_id, documents : document_id, statements : statement_id, documents_with_expenses : document_id, accounts : account_id | [Foreign Keys]: documents : project_id = projects : project_id | documents : document_type_code = ref_document_types : document_type_code | statements : statement_id = documents : document_id | documents_with_expenses : document_id = documents : document_id | documents_with_expenses : budget_type_code = ref_budget_codes : budget_type_code | accounts : statement_id = statements : statement_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)]: | cre_Docs_and_Epenses | Ref_Document_Types : document_type_code (text) , document_type_name (text) , document_type_description (text) | Ref_Budget_Codes : budget_type_code (text) , budget_type_description (text) | Projects : project_id (text) , project_details (text) | Documents : document_id (text) , document_type_code (text) , project_id (text) , document_date (text) , document_name (text) , document_description (text) , other_details (number) | Statements : statement_id (text) , statement_details (text) | Documents_with_Expenses : document_id (text) , budget_type_code (text) , document_details (text) | Accounts : account_id (text) , statement_id (text) , account_details (text);</schema>"
<primary_keys>[Primary Keys]: ref_document_types : document_type_code, ref_budget_codes : budget_type_code, projects : project_id, documents : document_id, statements : statement_id, documents_with_expenses : document_id, accounts : account_id</primary_keys>"
<foreign_keys>[Foreign Keys]: documents : project_id = projects : project_id | documents : document_type_code = ref_document_types : document_type_code | statements : statement_id = documents : document_id | documents_with_expenses : document_id = documents : document_id | documents_with_expenses : budget_type_code = ref_budget_codes : budget_type_code | accounts : statement_id = statements : statement_id</foreign_keys>"
Answer the following question with a SQL Statement:<question>Give the ids of documents with expenses that have the budget code 'SF'.</question>
[SQL]:
| <SQL_QUERY>SELECT document_id FROM Documents_with_expenses WHERE budget_type_code = 'SF'</SQL_QUERY> | cre_Docs_and_Epenses | SELECT document_id FROM Documents_with_expenses WHERE budget_type_code = 'SF' | Give the ids of documents with expenses that have the budget code 'SF'. | [Schema (values) (types)]: | cre_Docs_and_Epenses | Ref_Document_Types : document_type_code (text) , document_type_name (text) , document_type_description (text) | Ref_Budget_Codes : budget_type_code (text) , budget_type_description (text) | Projects : project_id (text) , project_details (text) | Documents : document_id (text) , document_type_code (text) , project_id (text) , document_date (text) , document_name (text) , document_description (text) , other_details (number) | Statements : statement_id (text) , statement_details (text) | Documents_with_Expenses : document_id (text) , budget_type_code (text) , document_details (text) | Accounts : account_id (text) , statement_id (text) , account_details (text); | [Primary Keys]: ref_document_types : document_type_code, ref_budget_codes : budget_type_code, projects : project_id, documents : document_id, statements : statement_id, documents_with_expenses : document_id, accounts : account_id | [Foreign Keys]: documents : project_id = projects : project_id | documents : document_type_code = ref_document_types : document_type_code | statements : statement_id = documents : document_id | documents_with_expenses : document_id = documents : document_id | documents_with_expenses : budget_type_code = ref_budget_codes : budget_type_code | accounts : statement_id = statements : statement_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)]: | cre_Docs_and_Epenses | Ref_Document_Types : document_type_code (text) , document_type_name (text) , document_type_description (text) | Ref_Budget_Codes : budget_type_code (text) , budget_type_description (text) | Projects : project_id (text) , project_details (text) | Documents : document_id (text) , document_type_code (text) , project_id (text) , document_date (text) , document_name (text) , document_description (text) , other_details (number) | Statements : statement_id (text) , statement_details (text) | Documents_with_Expenses : document_id (text) , budget_type_code (text) , document_details (text) | Accounts : account_id (text) , statement_id (text) , account_details (text);</schema>"
<primary_keys>[Primary Keys]: ref_document_types : document_type_code, ref_budget_codes : budget_type_code, projects : project_id, documents : document_id, statements : statement_id, documents_with_expenses : document_id, accounts : account_id</primary_keys>"
<foreign_keys>[Foreign Keys]: documents : project_id = projects : project_id | documents : document_type_code = ref_document_types : document_type_code | statements : statement_id = documents : document_id | documents_with_expenses : document_id = documents : document_id | documents_with_expenses : budget_type_code = ref_budget_codes : budget_type_code | accounts : statement_id = statements : statement_id</foreign_keys>"
Answer the following question with a SQL Statement:<question>Show the budget type code and description and the corresponding document id.</question>
[SQL]:
| <SQL_QUERY>SELECT T2.budget_type_code , T2.budget_type_description , T1.document_id FROM Documents_with_expenses AS T1 JOIN Ref_budget_codes AS T2 ON T1.budget_type_code = T2.budget_type_code</SQL_QUERY> | cre_Docs_and_Epenses | SELECT T2.budget_type_code , T2.budget_type_description , T1.document_id FROM Documents_with_expenses AS T1 JOIN Ref_budget_codes AS T2 ON T1.budget_type_code = T2.budget_type_code | Show the budget type code and description and the corresponding document id. | [Schema (values) (types)]: | cre_Docs_and_Epenses | Ref_Document_Types : document_type_code (text) , document_type_name (text) , document_type_description (text) | Ref_Budget_Codes : budget_type_code (text) , budget_type_description (text) | Projects : project_id (text) , project_details (text) | Documents : document_id (text) , document_type_code (text) , project_id (text) , document_date (text) , document_name (text) , document_description (text) , other_details (number) | Statements : statement_id (text) , statement_details (text) | Documents_with_Expenses : document_id (text) , budget_type_code (text) , document_details (text) | Accounts : account_id (text) , statement_id (text) , account_details (text); | [Primary Keys]: ref_document_types : document_type_code, ref_budget_codes : budget_type_code, projects : project_id, documents : document_id, statements : statement_id, documents_with_expenses : document_id, accounts : account_id | [Foreign Keys]: documents : project_id = projects : project_id | documents : document_type_code = ref_document_types : document_type_code | statements : statement_id = documents : document_id | documents_with_expenses : document_id = documents : document_id | documents_with_expenses : budget_type_code = ref_budget_codes : budget_type_code | accounts : statement_id = statements : statement_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)]: | cre_Docs_and_Epenses | Ref_Document_Types : document_type_code (text) , document_type_name (text) , document_type_description (text) | Ref_Budget_Codes : budget_type_code (text) , budget_type_description (text) | Projects : project_id (text) , project_details (text) | Documents : document_id (text) , document_type_code (text) , project_id (text) , document_date (text) , document_name (text) , document_description (text) , other_details (number) | Statements : statement_id (text) , statement_details (text) | Documents_with_Expenses : document_id (text) , budget_type_code (text) , document_details (text) | Accounts : account_id (text) , statement_id (text) , account_details (text);</schema>"
<primary_keys>[Primary Keys]: ref_document_types : document_type_code, ref_budget_codes : budget_type_code, projects : project_id, documents : document_id, statements : statement_id, documents_with_expenses : document_id, accounts : account_id</primary_keys>"
<foreign_keys>[Foreign Keys]: documents : project_id = projects : project_id | documents : document_type_code = ref_document_types : document_type_code | statements : statement_id = documents : document_id | documents_with_expenses : document_id = documents : document_id | documents_with_expenses : budget_type_code = ref_budget_codes : budget_type_code | accounts : statement_id = statements : statement_id</foreign_keys>"
Answer the following question with a SQL Statement:<question>Return the budget type codes, budget type descriptions and document ids for documents with expenses.</question>
[SQL]:
| <SQL_QUERY>SELECT T2.budget_type_code , T2.budget_type_description , T1.document_id FROM Documents_with_expenses AS T1 JOIN Ref_budget_codes AS T2 ON T1.budget_type_code = T2.budget_type_code</SQL_QUERY> | cre_Docs_and_Epenses | SELECT T2.budget_type_code , T2.budget_type_description , T1.document_id FROM Documents_with_expenses AS T1 JOIN Ref_budget_codes AS T2 ON T1.budget_type_code = T2.budget_type_code | Return the budget type codes, budget type descriptions and document ids for documents with expenses. | [Schema (values) (types)]: | cre_Docs_and_Epenses | Ref_Document_Types : document_type_code (text) , document_type_name (text) , document_type_description (text) | Ref_Budget_Codes : budget_type_code (text) , budget_type_description (text) | Projects : project_id (text) , project_details (text) | Documents : document_id (text) , document_type_code (text) , project_id (text) , document_date (text) , document_name (text) , document_description (text) , other_details (number) | Statements : statement_id (text) , statement_details (text) | Documents_with_Expenses : document_id (text) , budget_type_code (text) , document_details (text) | Accounts : account_id (text) , statement_id (text) , account_details (text); | [Primary Keys]: ref_document_types : document_type_code, ref_budget_codes : budget_type_code, projects : project_id, documents : document_id, statements : statement_id, documents_with_expenses : document_id, accounts : account_id | [Foreign Keys]: documents : project_id = projects : project_id | documents : document_type_code = ref_document_types : document_type_code | statements : statement_id = documents : document_id | documents_with_expenses : document_id = documents : document_id | documents_with_expenses : budget_type_code = ref_budget_codes : budget_type_code | accounts : statement_id = statements : statement_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)]: | cre_Docs_and_Epenses | Ref_Document_Types : document_type_code (text) , document_type_name (text) , document_type_description (text) | Ref_Budget_Codes : budget_type_code (text) , budget_type_description (text) | Projects : project_id (text) , project_details (text) | Documents : document_id (text) , document_type_code (text) , project_id (text) , document_date (text) , document_name (text) , document_description (text) , other_details (number) | Statements : statement_id (text) , statement_details (text) | Documents_with_Expenses : document_id (text) , budget_type_code (text) , document_details (text) | Accounts : account_id (text) , statement_id (text) , account_details (text);</schema>"
<primary_keys>[Primary Keys]: ref_document_types : document_type_code, ref_budget_codes : budget_type_code, projects : project_id, documents : document_id, statements : statement_id, documents_with_expenses : document_id, accounts : account_id</primary_keys>"
<foreign_keys>[Foreign Keys]: documents : project_id = projects : project_id | documents : document_type_code = ref_document_types : document_type_code | statements : statement_id = documents : document_id | documents_with_expenses : document_id = documents : document_id | documents_with_expenses : budget_type_code = ref_budget_codes : budget_type_code | accounts : statement_id = statements : statement_id</foreign_keys>"
Answer the following question with a SQL Statement:<question>Show ids for all documents with budget types described as 'Government'.</question>
[SQL]:
| <SQL_QUERY>SELECT T1.document_id FROM Documents_with_expenses AS T1 JOIN Ref_Budget_Codes AS T2 ON T1.Budget_Type_code = T2.Budget_Type_code WHERE T2.budget_type_Description = "Government"</SQL_QUERY> | cre_Docs_and_Epenses | SELECT T1.document_id FROM Documents_with_expenses AS T1 JOIN Ref_Budget_Codes AS T2 ON T1.Budget_Type_code = T2.Budget_Type_code WHERE T2.budget_type_Description = "Government" | Show ids for all documents with budget types described as 'Government'. | [Schema (values) (types)]: | cre_Docs_and_Epenses | Ref_Document_Types : document_type_code (text) , document_type_name (text) , document_type_description (text) | Ref_Budget_Codes : budget_type_code (text) , budget_type_description (text) | Projects : project_id (text) , project_details (text) | Documents : document_id (text) , document_type_code (text) , project_id (text) , document_date (text) , document_name (text) , document_description (text) , other_details (number) | Statements : statement_id (text) , statement_details (text) | Documents_with_Expenses : document_id (text) , budget_type_code (text) , document_details (text) | Accounts : account_id (text) , statement_id (text) , account_details (text); | [Primary Keys]: ref_document_types : document_type_code, ref_budget_codes : budget_type_code, projects : project_id, documents : document_id, statements : statement_id, documents_with_expenses : document_id, accounts : account_id | [Foreign Keys]: documents : project_id = projects : project_id | documents : document_type_code = ref_document_types : document_type_code | statements : statement_id = documents : document_id | documents_with_expenses : document_id = documents : document_id | documents_with_expenses : budget_type_code = ref_budget_codes : budget_type_code | accounts : statement_id = statements : statement_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)]: | cre_Docs_and_Epenses | Ref_Document_Types : document_type_code (text) , document_type_name (text) , document_type_description (text) | Ref_Budget_Codes : budget_type_code (text) , budget_type_description (text) | Projects : project_id (text) , project_details (text) | Documents : document_id (text) , document_type_code (text) , project_id (text) , document_date (text) , document_name (text) , document_description (text) , other_details (number) | Statements : statement_id (text) , statement_details (text) | Documents_with_Expenses : document_id (text) , budget_type_code (text) , document_details (text) | Accounts : account_id (text) , statement_id (text) , account_details (text);</schema>"
<primary_keys>[Primary Keys]: ref_document_types : document_type_code, ref_budget_codes : budget_type_code, projects : project_id, documents : document_id, statements : statement_id, documents_with_expenses : document_id, accounts : account_id</primary_keys>"
<foreign_keys>[Foreign Keys]: documents : project_id = projects : project_id | documents : document_type_code = ref_document_types : document_type_code | statements : statement_id = documents : document_id | documents_with_expenses : document_id = documents : document_id | documents_with_expenses : budget_type_code = ref_budget_codes : budget_type_code | accounts : statement_id = statements : statement_id</foreign_keys>"
Answer the following question with a SQL Statement:<question>Give the ids for documents that have the budget description 'Government'.</question>
[SQL]:
| <SQL_QUERY>SELECT T1.document_id FROM Documents_with_expenses AS T1 JOIN Ref_Budget_Codes AS T2 ON T1.Budget_Type_code = T2.Budget_Type_code WHERE T2.budget_type_Description = "Government"</SQL_QUERY> | cre_Docs_and_Epenses | SELECT T1.document_id FROM Documents_with_expenses AS T1 JOIN Ref_Budget_Codes AS T2 ON T1.Budget_Type_code = T2.Budget_Type_code WHERE T2.budget_type_Description = "Government" | Give the ids for documents that have the budget description 'Government'. | [Schema (values) (types)]: | cre_Docs_and_Epenses | Ref_Document_Types : document_type_code (text) , document_type_name (text) , document_type_description (text) | Ref_Budget_Codes : budget_type_code (text) , budget_type_description (text) | Projects : project_id (text) , project_details (text) | Documents : document_id (text) , document_type_code (text) , project_id (text) , document_date (text) , document_name (text) , document_description (text) , other_details (number) | Statements : statement_id (text) , statement_details (text) | Documents_with_Expenses : document_id (text) , budget_type_code (text) , document_details (text) | Accounts : account_id (text) , statement_id (text) , account_details (text); | [Primary Keys]: ref_document_types : document_type_code, ref_budget_codes : budget_type_code, projects : project_id, documents : document_id, statements : statement_id, documents_with_expenses : document_id, accounts : account_id | [Foreign Keys]: documents : project_id = projects : project_id | documents : document_type_code = ref_document_types : document_type_code | statements : statement_id = documents : document_id | documents_with_expenses : document_id = documents : document_id | documents_with_expenses : budget_type_code = ref_budget_codes : budget_type_code | accounts : statement_id = statements : statement_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)]: | cre_Docs_and_Epenses | Ref_Document_Types : document_type_code (text) , document_type_name (text) , document_type_description (text) | Ref_Budget_Codes : budget_type_code (text) , budget_type_description (text) | Projects : project_id (text) , project_details (text) | Documents : document_id (text) , document_type_code (text) , project_id (text) , document_date (text) , document_name (text) , document_description (text) , other_details (number) | Statements : statement_id (text) , statement_details (text) | Documents_with_Expenses : document_id (text) , budget_type_code (text) , document_details (text) | Accounts : account_id (text) , statement_id (text) , account_details (text);</schema>"
<primary_keys>[Primary Keys]: ref_document_types : document_type_code, ref_budget_codes : budget_type_code, projects : project_id, documents : document_id, statements : statement_id, documents_with_expenses : document_id, accounts : account_id</primary_keys>"
<foreign_keys>[Foreign Keys]: documents : project_id = projects : project_id | documents : document_type_code = ref_document_types : document_type_code | statements : statement_id = documents : document_id | documents_with_expenses : document_id = documents : document_id | documents_with_expenses : budget_type_code = ref_budget_codes : budget_type_code | accounts : statement_id = statements : statement_id</foreign_keys>"
Answer the following question with a SQL Statement:<question>Show budget type codes and the number of documents in each budget type.</question>
[SQL]:
| <SQL_QUERY>SELECT budget_type_code , count(*) FROM Documents_with_expenses GROUP BY budget_type_code</SQL_QUERY> | cre_Docs_and_Epenses | SELECT budget_type_code , count(*) FROM Documents_with_expenses GROUP BY budget_type_code | Show budget type codes and the number of documents in each budget type. | [Schema (values) (types)]: | cre_Docs_and_Epenses | Ref_Document_Types : document_type_code (text) , document_type_name (text) , document_type_description (text) | Ref_Budget_Codes : budget_type_code (text) , budget_type_description (text) | Projects : project_id (text) , project_details (text) | Documents : document_id (text) , document_type_code (text) , project_id (text) , document_date (text) , document_name (text) , document_description (text) , other_details (number) | Statements : statement_id (text) , statement_details (text) | Documents_with_Expenses : document_id (text) , budget_type_code (text) , document_details (text) | Accounts : account_id (text) , statement_id (text) , account_details (text); | [Primary Keys]: ref_document_types : document_type_code, ref_budget_codes : budget_type_code, projects : project_id, documents : document_id, statements : statement_id, documents_with_expenses : document_id, accounts : account_id | [Foreign Keys]: documents : project_id = projects : project_id | documents : document_type_code = ref_document_types : document_type_code | statements : statement_id = documents : document_id | documents_with_expenses : document_id = documents : document_id | documents_with_expenses : budget_type_code = ref_budget_codes : budget_type_code | accounts : statement_id = statements : statement_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)]: | cre_Docs_and_Epenses | Ref_Document_Types : document_type_code (text) , document_type_name (text) , document_type_description (text) | Ref_Budget_Codes : budget_type_code (text) , budget_type_description (text) | Projects : project_id (text) , project_details (text) | Documents : document_id (text) , document_type_code (text) , project_id (text) , document_date (text) , document_name (text) , document_description (text) , other_details (number) | Statements : statement_id (text) , statement_details (text) | Documents_with_Expenses : document_id (text) , budget_type_code (text) , document_details (text) | Accounts : account_id (text) , statement_id (text) , account_details (text);</schema>"
<primary_keys>[Primary Keys]: ref_document_types : document_type_code, ref_budget_codes : budget_type_code, projects : project_id, documents : document_id, statements : statement_id, documents_with_expenses : document_id, accounts : account_id</primary_keys>"
<foreign_keys>[Foreign Keys]: documents : project_id = projects : project_id | documents : document_type_code = ref_document_types : document_type_code | statements : statement_id = documents : document_id | documents_with_expenses : document_id = documents : document_id | documents_with_expenses : budget_type_code = ref_budget_codes : budget_type_code | accounts : statement_id = statements : statement_id</foreign_keys>"
Answer the following question with a SQL Statement:<question>What are the different budget type codes, and how many documents are there for each?</question>
[SQL]:
| <SQL_QUERY>SELECT budget_type_code , count(*) FROM Documents_with_expenses GROUP BY budget_type_code</SQL_QUERY> | cre_Docs_and_Epenses | SELECT budget_type_code , count(*) FROM Documents_with_expenses GROUP BY budget_type_code | What are the different budget type codes, and how many documents are there for each? | [Schema (values) (types)]: | cre_Docs_and_Epenses | Ref_Document_Types : document_type_code (text) , document_type_name (text) , document_type_description (text) | Ref_Budget_Codes : budget_type_code (text) , budget_type_description (text) | Projects : project_id (text) , project_details (text) | Documents : document_id (text) , document_type_code (text) , project_id (text) , document_date (text) , document_name (text) , document_description (text) , other_details (number) | Statements : statement_id (text) , statement_details (text) | Documents_with_Expenses : document_id (text) , budget_type_code (text) , document_details (text) | Accounts : account_id (text) , statement_id (text) , account_details (text); | [Primary Keys]: ref_document_types : document_type_code, ref_budget_codes : budget_type_code, projects : project_id, documents : document_id, statements : statement_id, documents_with_expenses : document_id, accounts : account_id | [Foreign Keys]: documents : project_id = projects : project_id | documents : document_type_code = ref_document_types : document_type_code | statements : statement_id = documents : document_id | documents_with_expenses : document_id = documents : document_id | documents_with_expenses : budget_type_code = ref_budget_codes : budget_type_code | accounts : statement_id = statements : statement_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)]: | cre_Docs_and_Epenses | Ref_Document_Types : document_type_code (text) , document_type_name (text) , document_type_description (text) | Ref_Budget_Codes : budget_type_code (text) , budget_type_description (text) | Projects : project_id (text) , project_details (text) | Documents : document_id (text) , document_type_code (text) , project_id (text) , document_date (text) , document_name (text) , document_description (text) , other_details (number) | Statements : statement_id (text) , statement_details (text) | Documents_with_Expenses : document_id (text) , budget_type_code (text) , document_details (text) | Accounts : account_id (text) , statement_id (text) , account_details (text);</schema>"
<primary_keys>[Primary Keys]: ref_document_types : document_type_code, ref_budget_codes : budget_type_code, projects : project_id, documents : document_id, statements : statement_id, documents_with_expenses : document_id, accounts : account_id</primary_keys>"
<foreign_keys>[Foreign Keys]: documents : project_id = projects : project_id | documents : document_type_code = ref_document_types : document_type_code | statements : statement_id = documents : document_id | documents_with_expenses : document_id = documents : document_id | documents_with_expenses : budget_type_code = ref_budget_codes : budget_type_code | accounts : statement_id = statements : statement_id</foreign_keys>"
Answer the following question with a SQL Statement:<question>What is the budget type code with most number of documents.</question>
[SQL]:
| <SQL_QUERY>SELECT budget_type_code FROM Documents_with_expenses GROUP BY budget_type_code ORDER BY count(*) DESC LIMIT 1</SQL_QUERY> | cre_Docs_and_Epenses | SELECT budget_type_code FROM Documents_with_expenses GROUP BY budget_type_code ORDER BY count(*) DESC LIMIT 1 | What is the budget type code with most number of documents. | [Schema (values) (types)]: | cre_Docs_and_Epenses | Ref_Document_Types : document_type_code (text) , document_type_name (text) , document_type_description (text) | Ref_Budget_Codes : budget_type_code (text) , budget_type_description (text) | Projects : project_id (text) , project_details (text) | Documents : document_id (text) , document_type_code (text) , project_id (text) , document_date (text) , document_name (text) , document_description (text) , other_details (number) | Statements : statement_id (text) , statement_details (text) | Documents_with_Expenses : document_id (text) , budget_type_code (text) , document_details (text) | Accounts : account_id (text) , statement_id (text) , account_details (text); | [Primary Keys]: ref_document_types : document_type_code, ref_budget_codes : budget_type_code, projects : project_id, documents : document_id, statements : statement_id, documents_with_expenses : document_id, accounts : account_id | [Foreign Keys]: documents : project_id = projects : project_id | documents : document_type_code = ref_document_types : document_type_code | statements : statement_id = documents : document_id | documents_with_expenses : document_id = documents : document_id | documents_with_expenses : budget_type_code = ref_budget_codes : budget_type_code | accounts : statement_id = statements : statement_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)]: | cre_Docs_and_Epenses | Ref_Document_Types : document_type_code (text) , document_type_name (text) , document_type_description (text) | Ref_Budget_Codes : budget_type_code (text) , budget_type_description (text) | Projects : project_id (text) , project_details (text) | Documents : document_id (text) , document_type_code (text) , project_id (text) , document_date (text) , document_name (text) , document_description (text) , other_details (number) | Statements : statement_id (text) , statement_details (text) | Documents_with_Expenses : document_id (text) , budget_type_code (text) , document_details (text) | Accounts : account_id (text) , statement_id (text) , account_details (text);</schema>"
<primary_keys>[Primary Keys]: ref_document_types : document_type_code, ref_budget_codes : budget_type_code, projects : project_id, documents : document_id, statements : statement_id, documents_with_expenses : document_id, accounts : account_id</primary_keys>"
<foreign_keys>[Foreign Keys]: documents : project_id = projects : project_id | documents : document_type_code = ref_document_types : document_type_code | statements : statement_id = documents : document_id | documents_with_expenses : document_id = documents : document_id | documents_with_expenses : budget_type_code = ref_budget_codes : budget_type_code | accounts : statement_id = statements : statement_id</foreign_keys>"
Answer the following question with a SQL Statement:<question>Give the budget type code that is most common among documents with expenses.</question>
[SQL]:
| <SQL_QUERY>SELECT budget_type_code FROM Documents_with_expenses GROUP BY budget_type_code ORDER BY count(*) DESC LIMIT 1</SQL_QUERY> | cre_Docs_and_Epenses | SELECT budget_type_code FROM Documents_with_expenses GROUP BY budget_type_code ORDER BY count(*) DESC LIMIT 1 | Give the budget type code that is most common among documents with expenses. | [Schema (values) (types)]: | cre_Docs_and_Epenses | Ref_Document_Types : document_type_code (text) , document_type_name (text) , document_type_description (text) | Ref_Budget_Codes : budget_type_code (text) , budget_type_description (text) | Projects : project_id (text) , project_details (text) | Documents : document_id (text) , document_type_code (text) , project_id (text) , document_date (text) , document_name (text) , document_description (text) , other_details (number) | Statements : statement_id (text) , statement_details (text) | Documents_with_Expenses : document_id (text) , budget_type_code (text) , document_details (text) | Accounts : account_id (text) , statement_id (text) , account_details (text); | [Primary Keys]: ref_document_types : document_type_code, ref_budget_codes : budget_type_code, projects : project_id, documents : document_id, statements : statement_id, documents_with_expenses : document_id, accounts : account_id | [Foreign Keys]: documents : project_id = projects : project_id | documents : document_type_code = ref_document_types : document_type_code | statements : statement_id = documents : document_id | documents_with_expenses : document_id = documents : document_id | documents_with_expenses : budget_type_code = ref_budget_codes : budget_type_code | accounts : statement_id = statements : statement_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)]: | cre_Docs_and_Epenses | Ref_Document_Types : document_type_code (text) , document_type_name (text) , document_type_description (text) | Ref_Budget_Codes : budget_type_code (text) , budget_type_description (text) | Projects : project_id (text) , project_details (text) | Documents : document_id (text) , document_type_code (text) , project_id (text) , document_date (text) , document_name (text) , document_description (text) , other_details (number) | Statements : statement_id (text) , statement_details (text) | Documents_with_Expenses : document_id (text) , budget_type_code (text) , document_details (text) | Accounts : account_id (text) , statement_id (text) , account_details (text);</schema>"
<primary_keys>[Primary Keys]: ref_document_types : document_type_code, ref_budget_codes : budget_type_code, projects : project_id, documents : document_id, statements : statement_id, documents_with_expenses : document_id, accounts : account_id</primary_keys>"
<foreign_keys>[Foreign Keys]: documents : project_id = projects : project_id | documents : document_type_code = ref_document_types : document_type_code | statements : statement_id = documents : document_id | documents_with_expenses : document_id = documents : document_id | documents_with_expenses : budget_type_code = ref_budget_codes : budget_type_code | accounts : statement_id = statements : statement_id</foreign_keys>"
Answer the following question with a SQL Statement:<question>What are the ids of documents which don't have expense budgets?</question>
[SQL]:
| <SQL_QUERY>SELECT document_id FROM Documents EXCEPT SELECT document_id FROM Documents_with_expenses</SQL_QUERY> | cre_Docs_and_Epenses | SELECT document_id FROM Documents EXCEPT SELECT document_id FROM Documents_with_expenses | What are the ids of documents which don't have expense budgets? | [Schema (values) (types)]: | cre_Docs_and_Epenses | Ref_Document_Types : document_type_code (text) , document_type_name (text) , document_type_description (text) | Ref_Budget_Codes : budget_type_code (text) , budget_type_description (text) | Projects : project_id (text) , project_details (text) | Documents : document_id (text) , document_type_code (text) , project_id (text) , document_date (text) , document_name (text) , document_description (text) , other_details (number) | Statements : statement_id (text) , statement_details (text) | Documents_with_Expenses : document_id (text) , budget_type_code (text) , document_details (text) | Accounts : account_id (text) , statement_id (text) , account_details (text); | [Primary Keys]: ref_document_types : document_type_code, ref_budget_codes : budget_type_code, projects : project_id, documents : document_id, statements : statement_id, documents_with_expenses : document_id, accounts : account_id | [Foreign Keys]: documents : project_id = projects : project_id | documents : document_type_code = ref_document_types : document_type_code | statements : statement_id = documents : document_id | documents_with_expenses : document_id = documents : document_id | documents_with_expenses : budget_type_code = ref_budget_codes : budget_type_code | accounts : statement_id = statements : statement_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)]: | cre_Docs_and_Epenses | Ref_Document_Types : document_type_code (text) , document_type_name (text) , document_type_description (text) | Ref_Budget_Codes : budget_type_code (text) , budget_type_description (text) | Projects : project_id (text) , project_details (text) | Documents : document_id (text) , document_type_code (text) , project_id (text) , document_date (text) , document_name (text) , document_description (text) , other_details (number) | Statements : statement_id (text) , statement_details (text) | Documents_with_Expenses : document_id (text) , budget_type_code (text) , document_details (text) | Accounts : account_id (text) , statement_id (text) , account_details (text);</schema>"
<primary_keys>[Primary Keys]: ref_document_types : document_type_code, ref_budget_codes : budget_type_code, projects : project_id, documents : document_id, statements : statement_id, documents_with_expenses : document_id, accounts : account_id</primary_keys>"
<foreign_keys>[Foreign Keys]: documents : project_id = projects : project_id | documents : document_type_code = ref_document_types : document_type_code | statements : statement_id = documents : document_id | documents_with_expenses : document_id = documents : document_id | documents_with_expenses : budget_type_code = ref_budget_codes : budget_type_code | accounts : statement_id = statements : statement_id</foreign_keys>"
Answer the following question with a SQL Statement:<question>Return the ids of documents that do not have expenses.</question>
[SQL]:
| <SQL_QUERY>SELECT document_id FROM Documents EXCEPT SELECT document_id FROM Documents_with_expenses</SQL_QUERY> | cre_Docs_and_Epenses | SELECT document_id FROM Documents EXCEPT SELECT document_id FROM Documents_with_expenses | Return the ids of documents that do not have expenses. | [Schema (values) (types)]: | cre_Docs_and_Epenses | Ref_Document_Types : document_type_code (text) , document_type_name (text) , document_type_description (text) | Ref_Budget_Codes : budget_type_code (text) , budget_type_description (text) | Projects : project_id (text) , project_details (text) | Documents : document_id (text) , document_type_code (text) , project_id (text) , document_date (text) , document_name (text) , document_description (text) , other_details (number) | Statements : statement_id (text) , statement_details (text) | Documents_with_Expenses : document_id (text) , budget_type_code (text) , document_details (text) | Accounts : account_id (text) , statement_id (text) , account_details (text); | [Primary Keys]: ref_document_types : document_type_code, ref_budget_codes : budget_type_code, projects : project_id, documents : document_id, statements : statement_id, documents_with_expenses : document_id, accounts : account_id | [Foreign Keys]: documents : project_id = projects : project_id | documents : document_type_code = ref_document_types : document_type_code | statements : statement_id = documents : document_id | documents_with_expenses : document_id = documents : document_id | documents_with_expenses : budget_type_code = ref_budget_codes : budget_type_code | accounts : statement_id = statements : statement_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)]: | cre_Docs_and_Epenses | Ref_Document_Types : document_type_code (text) , document_type_name (text) , document_type_description (text) | Ref_Budget_Codes : budget_type_code (text) , budget_type_description (text) | Projects : project_id (text) , project_details (text) | Documents : document_id (text) , document_type_code (text) , project_id (text) , document_date (text) , document_name (text) , document_description (text) , other_details (number) | Statements : statement_id (text) , statement_details (text) | Documents_with_Expenses : document_id (text) , budget_type_code (text) , document_details (text) | Accounts : account_id (text) , statement_id (text) , account_details (text);</schema>"
<primary_keys>[Primary Keys]: ref_document_types : document_type_code, ref_budget_codes : budget_type_code, projects : project_id, documents : document_id, statements : statement_id, documents_with_expenses : document_id, accounts : account_id</primary_keys>"
<foreign_keys>[Foreign Keys]: documents : project_id = projects : project_id | documents : document_type_code = ref_document_types : document_type_code | statements : statement_id = documents : document_id | documents_with_expenses : document_id = documents : document_id | documents_with_expenses : budget_type_code = ref_budget_codes : budget_type_code | accounts : statement_id = statements : statement_id</foreign_keys>"
Answer the following question with a SQL Statement:<question>Show ids for all documents in type CV without expense budgets.</question>
[SQL]:
| <SQL_QUERY>SELECT document_id FROM Documents WHERE document_type_code = "CV" EXCEPT SELECT document_id FROM Documents_with_expenses</SQL_QUERY> | cre_Docs_and_Epenses | SELECT document_id FROM Documents WHERE document_type_code = "CV" EXCEPT SELECT document_id FROM Documents_with_expenses | Show ids for all documents in type CV without expense budgets. | [Schema (values) (types)]: | cre_Docs_and_Epenses | Ref_Document_Types : document_type_code (text) , document_type_name (text) , document_type_description (text) | Ref_Budget_Codes : budget_type_code (text) , budget_type_description (text) | Projects : project_id (text) , project_details (text) | Documents : document_id (text) , document_type_code (text) , project_id (text) , document_date (text) , document_name (text) , document_description (text) , other_details (number) | Statements : statement_id (text) , statement_details (text) | Documents_with_Expenses : document_id (text) , budget_type_code (text) , document_details (text) | Accounts : account_id (text) , statement_id (text) , account_details (text); | [Primary Keys]: ref_document_types : document_type_code, ref_budget_codes : budget_type_code, projects : project_id, documents : document_id, statements : statement_id, documents_with_expenses : document_id, accounts : account_id | [Foreign Keys]: documents : project_id = projects : project_id | documents : document_type_code = ref_document_types : document_type_code | statements : statement_id = documents : document_id | documents_with_expenses : document_id = documents : document_id | documents_with_expenses : budget_type_code = ref_budget_codes : budget_type_code | accounts : statement_id = statements : statement_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)]: | cre_Docs_and_Epenses | Ref_Document_Types : document_type_code (text) , document_type_name (text) , document_type_description (text) | Ref_Budget_Codes : budget_type_code (text) , budget_type_description (text) | Projects : project_id (text) , project_details (text) | Documents : document_id (text) , document_type_code (text) , project_id (text) , document_date (text) , document_name (text) , document_description (text) , other_details (number) | Statements : statement_id (text) , statement_details (text) | Documents_with_Expenses : document_id (text) , budget_type_code (text) , document_details (text) | Accounts : account_id (text) , statement_id (text) , account_details (text);</schema>"
<primary_keys>[Primary Keys]: ref_document_types : document_type_code, ref_budget_codes : budget_type_code, projects : project_id, documents : document_id, statements : statement_id, documents_with_expenses : document_id, accounts : account_id</primary_keys>"
<foreign_keys>[Foreign Keys]: documents : project_id = projects : project_id | documents : document_type_code = ref_document_types : document_type_code | statements : statement_id = documents : document_id | documents_with_expenses : document_id = documents : document_id | documents_with_expenses : budget_type_code = ref_budget_codes : budget_type_code | accounts : statement_id = statements : statement_id</foreign_keys>"
Answer the following question with a SQL Statement:<question>What are the ids of documents with the type code CV that do not have expenses.</question>
[SQL]:
| <SQL_QUERY>SELECT document_id FROM Documents WHERE document_type_code = "CV" EXCEPT SELECT document_id FROM Documents_with_expenses</SQL_QUERY> | cre_Docs_and_Epenses | SELECT document_id FROM Documents WHERE document_type_code = "CV" EXCEPT SELECT document_id FROM Documents_with_expenses | What are the ids of documents with the type code CV that do not have expenses. | [Schema (values) (types)]: | cre_Docs_and_Epenses | Ref_Document_Types : document_type_code (text) , document_type_name (text) , document_type_description (text) | Ref_Budget_Codes : budget_type_code (text) , budget_type_description (text) | Projects : project_id (text) , project_details (text) | Documents : document_id (text) , document_type_code (text) , project_id (text) , document_date (text) , document_name (text) , document_description (text) , other_details (number) | Statements : statement_id (text) , statement_details (text) | Documents_with_Expenses : document_id (text) , budget_type_code (text) , document_details (text) | Accounts : account_id (text) , statement_id (text) , account_details (text); | [Primary Keys]: ref_document_types : document_type_code, ref_budget_codes : budget_type_code, projects : project_id, documents : document_id, statements : statement_id, documents_with_expenses : document_id, accounts : account_id | [Foreign Keys]: documents : project_id = projects : project_id | documents : document_type_code = ref_document_types : document_type_code | statements : statement_id = documents : document_id | documents_with_expenses : document_id = documents : document_id | documents_with_expenses : budget_type_code = ref_budget_codes : budget_type_code | accounts : statement_id = statements : statement_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)]: | cre_Docs_and_Epenses | Ref_Document_Types : document_type_code (text) , document_type_name (text) , document_type_description (text) | Ref_Budget_Codes : budget_type_code (text) , budget_type_description (text) | Projects : project_id (text) , project_details (text) | Documents : document_id (text) , document_type_code (text) , project_id (text) , document_date (text) , document_name (text) , document_description (text) , other_details (number) | Statements : statement_id (text) , statement_details (text) | Documents_with_Expenses : document_id (text) , budget_type_code (text) , document_details (text) | Accounts : account_id (text) , statement_id (text) , account_details (text);</schema>"
<primary_keys>[Primary Keys]: ref_document_types : document_type_code, ref_budget_codes : budget_type_code, projects : project_id, documents : document_id, statements : statement_id, documents_with_expenses : document_id, accounts : account_id</primary_keys>"
<foreign_keys>[Foreign Keys]: documents : project_id = projects : project_id | documents : document_type_code = ref_document_types : document_type_code | statements : statement_id = documents : document_id | documents_with_expenses : document_id = documents : document_id | documents_with_expenses : budget_type_code = ref_budget_codes : budget_type_code | accounts : statement_id = statements : statement_id</foreign_keys>"
Answer the following question with a SQL Statement:<question>What are the ids of documents with letter 's' in the name with any expense budgets.</question>
[SQL]:
| <SQL_QUERY>SELECT T1.document_id FROM Documents AS T1 JOIN Documents_with_expenses AS T2 ON T1.document_id = T2.document_id WHERE T1.document_name LIKE '%s%'</SQL_QUERY> | cre_Docs_and_Epenses | SELECT T1.document_id FROM Documents AS T1 JOIN Documents_with_expenses AS T2 ON T1.document_id = T2.document_id WHERE T1.document_name LIKE '%s%' | What are the ids of documents with letter 's' in the name with any expense budgets. | [Schema (values) (types)]: | cre_Docs_and_Epenses | Ref_Document_Types : document_type_code (text) , document_type_name (text) , document_type_description (text) | Ref_Budget_Codes : budget_type_code (text) , budget_type_description (text) | Projects : project_id (text) , project_details (text) | Documents : document_id (text) , document_type_code (text) , project_id (text) , document_date (text) , document_name (text) , document_description (text) , other_details (number) | Statements : statement_id (text) , statement_details (text) | Documents_with_Expenses : document_id (text) , budget_type_code (text) , document_details (text) | Accounts : account_id (text) , statement_id (text) , account_details (text); | [Primary Keys]: ref_document_types : document_type_code, ref_budget_codes : budget_type_code, projects : project_id, documents : document_id, statements : statement_id, documents_with_expenses : document_id, accounts : account_id | [Foreign Keys]: documents : project_id = projects : project_id | documents : document_type_code = ref_document_types : document_type_code | statements : statement_id = documents : document_id | documents_with_expenses : document_id = documents : document_id | documents_with_expenses : budget_type_code = ref_budget_codes : budget_type_code | accounts : statement_id = statements : statement_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)]: | cre_Docs_and_Epenses | Ref_Document_Types : document_type_code (text) , document_type_name (text) , document_type_description (text) | Ref_Budget_Codes : budget_type_code (text) , budget_type_description (text) | Projects : project_id (text) , project_details (text) | Documents : document_id (text) , document_type_code (text) , project_id (text) , document_date (text) , document_name (text) , document_description (text) , other_details (number) | Statements : statement_id (text) , statement_details (text) | Documents_with_Expenses : document_id (text) , budget_type_code (text) , document_details (text) | Accounts : account_id (text) , statement_id (text) , account_details (text);</schema>"
<primary_keys>[Primary Keys]: ref_document_types : document_type_code, ref_budget_codes : budget_type_code, projects : project_id, documents : document_id, statements : statement_id, documents_with_expenses : document_id, accounts : account_id</primary_keys>"
<foreign_keys>[Foreign Keys]: documents : project_id = projects : project_id | documents : document_type_code = ref_document_types : document_type_code | statements : statement_id = documents : document_id | documents_with_expenses : document_id = documents : document_id | documents_with_expenses : budget_type_code = ref_budget_codes : budget_type_code | accounts : statement_id = statements : statement_id</foreign_keys>"
Answer the following question with a SQL Statement:<question>Give the ids of documents that have expenses and contain the letter s in their names.</question>
[SQL]:
| <SQL_QUERY>SELECT T1.document_id FROM Documents AS T1 JOIN Documents_with_expenses AS T2 ON T1.document_id = T2.document_id WHERE T1.document_name LIKE '%s%'</SQL_QUERY> | cre_Docs_and_Epenses | SELECT T1.document_id FROM Documents AS T1 JOIN Documents_with_expenses AS T2 ON T1.document_id = T2.document_id WHERE T1.document_name LIKE '%s%' | Give the ids of documents that have expenses and contain the letter s in their names. | [Schema (values) (types)]: | cre_Docs_and_Epenses | Ref_Document_Types : document_type_code (text) , document_type_name (text) , document_type_description (text) | Ref_Budget_Codes : budget_type_code (text) , budget_type_description (text) | Projects : project_id (text) , project_details (text) | Documents : document_id (text) , document_type_code (text) , project_id (text) , document_date (text) , document_name (text) , document_description (text) , other_details (number) | Statements : statement_id (text) , statement_details (text) | Documents_with_Expenses : document_id (text) , budget_type_code (text) , document_details (text) | Accounts : account_id (text) , statement_id (text) , account_details (text); | [Primary Keys]: ref_document_types : document_type_code, ref_budget_codes : budget_type_code, projects : project_id, documents : document_id, statements : statement_id, documents_with_expenses : document_id, accounts : account_id | [Foreign Keys]: documents : project_id = projects : project_id | documents : document_type_code = ref_document_types : document_type_code | statements : statement_id = documents : document_id | documents_with_expenses : document_id = documents : document_id | documents_with_expenses : budget_type_code = ref_budget_codes : budget_type_code | accounts : statement_id = statements : statement_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)]: | cre_Docs_and_Epenses | Ref_Document_Types : document_type_code (text) , document_type_name (text) , document_type_description (text) | Ref_Budget_Codes : budget_type_code (text) , budget_type_description (text) | Projects : project_id (text) , project_details (text) | Documents : document_id (text) , document_type_code (text) , project_id (text) , document_date (text) , document_name (text) , document_description (text) , other_details (number) | Statements : statement_id (text) , statement_details (text) | Documents_with_Expenses : document_id (text) , budget_type_code (text) , document_details (text) | Accounts : account_id (text) , statement_id (text) , account_details (text);</schema>"
<primary_keys>[Primary Keys]: ref_document_types : document_type_code, ref_budget_codes : budget_type_code, projects : project_id, documents : document_id, statements : statement_id, documents_with_expenses : document_id, accounts : account_id</primary_keys>"
<foreign_keys>[Foreign Keys]: documents : project_id = projects : project_id | documents : document_type_code = ref_document_types : document_type_code | statements : statement_id = documents : document_id | documents_with_expenses : document_id = documents : document_id | documents_with_expenses : budget_type_code = ref_budget_codes : budget_type_code | accounts : statement_id = statements : statement_id</foreign_keys>"
Answer the following question with a SQL Statement:<question>How many documents do not have any expense?</question>
[SQL]:
| <SQL_QUERY>SELECT count(*) FROM Documents WHERE document_id NOT IN ( SELECT document_id FROM Documents_with_expenses )</SQL_QUERY> | cre_Docs_and_Epenses | SELECT count(*) FROM Documents WHERE document_id NOT IN ( SELECT document_id FROM Documents_with_expenses ) | How many documents do not have any expense? | [Schema (values) (types)]: | cre_Docs_and_Epenses | Ref_Document_Types : document_type_code (text) , document_type_name (text) , document_type_description (text) | Ref_Budget_Codes : budget_type_code (text) , budget_type_description (text) | Projects : project_id (text) , project_details (text) | Documents : document_id (text) , document_type_code (text) , project_id (text) , document_date (text) , document_name (text) , document_description (text) , other_details (number) | Statements : statement_id (text) , statement_details (text) | Documents_with_Expenses : document_id (text) , budget_type_code (text) , document_details (text) | Accounts : account_id (text) , statement_id (text) , account_details (text); | [Primary Keys]: ref_document_types : document_type_code, ref_budget_codes : budget_type_code, projects : project_id, documents : document_id, statements : statement_id, documents_with_expenses : document_id, accounts : account_id | [Foreign Keys]: documents : project_id = projects : project_id | documents : document_type_code = ref_document_types : document_type_code | statements : statement_id = documents : document_id | documents_with_expenses : document_id = documents : document_id | documents_with_expenses : budget_type_code = ref_budget_codes : budget_type_code | accounts : statement_id = statements : statement_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)]: | cre_Docs_and_Epenses | Ref_Document_Types : document_type_code (text) , document_type_name (text) , document_type_description (text) | Ref_Budget_Codes : budget_type_code (text) , budget_type_description (text) | Projects : project_id (text) , project_details (text) | Documents : document_id (text) , document_type_code (text) , project_id (text) , document_date (text) , document_name (text) , document_description (text) , other_details (number) | Statements : statement_id (text) , statement_details (text) | Documents_with_Expenses : document_id (text) , budget_type_code (text) , document_details (text) | Accounts : account_id (text) , statement_id (text) , account_details (text);</schema>"
<primary_keys>[Primary Keys]: ref_document_types : document_type_code, ref_budget_codes : budget_type_code, projects : project_id, documents : document_id, statements : statement_id, documents_with_expenses : document_id, accounts : account_id</primary_keys>"
<foreign_keys>[Foreign Keys]: documents : project_id = projects : project_id | documents : document_type_code = ref_document_types : document_type_code | statements : statement_id = documents : document_id | documents_with_expenses : document_id = documents : document_id | documents_with_expenses : budget_type_code = ref_budget_codes : budget_type_code | accounts : statement_id = statements : statement_id</foreign_keys>"
Answer the following question with a SQL Statement:<question>Count the number of documents that do not have expenses.</question>
[SQL]:
| <SQL_QUERY>SELECT count(*) FROM Documents WHERE document_id NOT IN ( SELECT document_id FROM Documents_with_expenses )</SQL_QUERY> | cre_Docs_and_Epenses | SELECT count(*) FROM Documents WHERE document_id NOT IN ( SELECT document_id FROM Documents_with_expenses ) | Count the number of documents that do not have expenses. | [Schema (values) (types)]: | cre_Docs_and_Epenses | Ref_Document_Types : document_type_code (text) , document_type_name (text) , document_type_description (text) | Ref_Budget_Codes : budget_type_code (text) , budget_type_description (text) | Projects : project_id (text) , project_details (text) | Documents : document_id (text) , document_type_code (text) , project_id (text) , document_date (text) , document_name (text) , document_description (text) , other_details (number) | Statements : statement_id (text) , statement_details (text) | Documents_with_Expenses : document_id (text) , budget_type_code (text) , document_details (text) | Accounts : account_id (text) , statement_id (text) , account_details (text); | [Primary Keys]: ref_document_types : document_type_code, ref_budget_codes : budget_type_code, projects : project_id, documents : document_id, statements : statement_id, documents_with_expenses : document_id, accounts : account_id | [Foreign Keys]: documents : project_id = projects : project_id | documents : document_type_code = ref_document_types : document_type_code | statements : statement_id = documents : document_id | documents_with_expenses : document_id = documents : document_id | documents_with_expenses : budget_type_code = ref_budget_codes : budget_type_code | accounts : statement_id = statements : statement_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)]: | cre_Docs_and_Epenses | Ref_Document_Types : document_type_code (text) , document_type_name (text) , document_type_description (text) | Ref_Budget_Codes : budget_type_code (text) , budget_type_description (text) | Projects : project_id (text) , project_details (text) | Documents : document_id (text) , document_type_code (text) , project_id (text) , document_date (text) , document_name (text) , document_description (text) , other_details (number) | Statements : statement_id (text) , statement_details (text) | Documents_with_Expenses : document_id (text) , budget_type_code (text) , document_details (text) | Accounts : account_id (text) , statement_id (text) , account_details (text);</schema>"
<primary_keys>[Primary Keys]: ref_document_types : document_type_code, ref_budget_codes : budget_type_code, projects : project_id, documents : document_id, statements : statement_id, documents_with_expenses : document_id, accounts : account_id</primary_keys>"
<foreign_keys>[Foreign Keys]: documents : project_id = projects : project_id | documents : document_type_code = ref_document_types : document_type_code | statements : statement_id = documents : document_id | documents_with_expenses : document_id = documents : document_id | documents_with_expenses : budget_type_code = ref_budget_codes : budget_type_code | accounts : statement_id = statements : statement_id</foreign_keys>"
Answer the following question with a SQL Statement:<question>What are the dates for the documents with both 'GV' type and 'SF' type expenses?</question>
[SQL]:
| <SQL_QUERY>SELECT T1.document_date FROM Documents AS T1 JOIN Documents_with_Expenses AS T2 ON T1.document_id = T2.document_id WHERE T2.budget_type_code = 'GV' INTERSECT SELECT T1.document_date FROM Documents AS T1 JOIN Documents_with_Expenses AS T2 ON T1.document_id = T2.document_id WHERE T2.budget_type_code = 'SF'</SQL_QUERY> | cre_Docs_and_Epenses | SELECT T1.document_date FROM Documents AS T1 JOIN Documents_with_Expenses AS T2 ON T1.document_id = T2.document_id WHERE T2.budget_type_code = 'GV' INTERSECT SELECT T1.document_date FROM Documents AS T1 JOIN Documents_with_Expenses AS T2 ON T1.document_id = T2.document_id WHERE T2.budget_type_code = 'SF' | What are the dates for the documents with both 'GV' type and 'SF' type expenses? | [Schema (values) (types)]: | cre_Docs_and_Epenses | Ref_Document_Types : document_type_code (text) , document_type_name (text) , document_type_description (text) | Ref_Budget_Codes : budget_type_code (text) , budget_type_description (text) | Projects : project_id (text) , project_details (text) | Documents : document_id (text) , document_type_code (text) , project_id (text) , document_date (text) , document_name (text) , document_description (text) , other_details (number) | Statements : statement_id (text) , statement_details (text) | Documents_with_Expenses : document_id (text) , budget_type_code (text) , document_details (text) | Accounts : account_id (text) , statement_id (text) , account_details (text); | [Primary Keys]: ref_document_types : document_type_code, ref_budget_codes : budget_type_code, projects : project_id, documents : document_id, statements : statement_id, documents_with_expenses : document_id, accounts : account_id | [Foreign Keys]: documents : project_id = projects : project_id | documents : document_type_code = ref_document_types : document_type_code | statements : statement_id = documents : document_id | documents_with_expenses : document_id = documents : document_id | documents_with_expenses : budget_type_code = ref_budget_codes : budget_type_code | accounts : statement_id = statements : statement_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)]: | cre_Docs_and_Epenses | Ref_Document_Types : document_type_code (text) , document_type_name (text) , document_type_description (text) | Ref_Budget_Codes : budget_type_code (text) , budget_type_description (text) | Projects : project_id (text) , project_details (text) | Documents : document_id (text) , document_type_code (text) , project_id (text) , document_date (text) , document_name (text) , document_description (text) , other_details (number) | Statements : statement_id (text) , statement_details (text) | Documents_with_Expenses : document_id (text) , budget_type_code (text) , document_details (text) | Accounts : account_id (text) , statement_id (text) , account_details (text);</schema>"
<primary_keys>[Primary Keys]: ref_document_types : document_type_code, ref_budget_codes : budget_type_code, projects : project_id, documents : document_id, statements : statement_id, documents_with_expenses : document_id, accounts : account_id</primary_keys>"
<foreign_keys>[Foreign Keys]: documents : project_id = projects : project_id | documents : document_type_code = ref_document_types : document_type_code | statements : statement_id = documents : document_id | documents_with_expenses : document_id = documents : document_id | documents_with_expenses : budget_type_code = ref_budget_codes : budget_type_code | accounts : statement_id = statements : statement_id</foreign_keys>"
Answer the following question with a SQL Statement:<question>Give the dates of creation for documents that have both budget type codes 'GV' and 'SF'.</question>
[SQL]:
| <SQL_QUERY>SELECT T1.document_date FROM Documents AS T1 JOIN Documents_with_Expenses AS T2 ON T1.document_id = T2.document_id WHERE T2.budget_type_code = 'GV' INTERSECT SELECT T1.document_date FROM Documents AS T1 JOIN Documents_with_Expenses AS T2 ON T1.document_id = T2.document_id WHERE T2.budget_type_code = 'SF'</SQL_QUERY> | cre_Docs_and_Epenses | SELECT T1.document_date FROM Documents AS T1 JOIN Documents_with_Expenses AS T2 ON T1.document_id = T2.document_id WHERE T2.budget_type_code = 'GV' INTERSECT SELECT T1.document_date FROM Documents AS T1 JOIN Documents_with_Expenses AS T2 ON T1.document_id = T2.document_id WHERE T2.budget_type_code = 'SF' | Give the dates of creation for documents that have both budget type codes 'GV' and 'SF'. | [Schema (values) (types)]: | cre_Docs_and_Epenses | Ref_Document_Types : document_type_code (text) , document_type_name (text) , document_type_description (text) | Ref_Budget_Codes : budget_type_code (text) , budget_type_description (text) | Projects : project_id (text) , project_details (text) | Documents : document_id (text) , document_type_code (text) , project_id (text) , document_date (text) , document_name (text) , document_description (text) , other_details (number) | Statements : statement_id (text) , statement_details (text) | Documents_with_Expenses : document_id (text) , budget_type_code (text) , document_details (text) | Accounts : account_id (text) , statement_id (text) , account_details (text); | [Primary Keys]: ref_document_types : document_type_code, ref_budget_codes : budget_type_code, projects : project_id, documents : document_id, statements : statement_id, documents_with_expenses : document_id, accounts : account_id | [Foreign Keys]: documents : project_id = projects : project_id | documents : document_type_code = ref_document_types : document_type_code | statements : statement_id = documents : document_id | documents_with_expenses : document_id = documents : document_id | documents_with_expenses : budget_type_code = ref_budget_codes : budget_type_code | accounts : statement_id = statements : statement_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)]: | cre_Docs_and_Epenses | Ref_Document_Types : document_type_code (text) , document_type_name (text) , document_type_description (text) | Ref_Budget_Codes : budget_type_code (text) , budget_type_description (text) | Projects : project_id (text) , project_details (text) | Documents : document_id (text) , document_type_code (text) , project_id (text) , document_date (text) , document_name (text) , document_description (text) , other_details (number) | Statements : statement_id (text) , statement_details (text) | Documents_with_Expenses : document_id (text) , budget_type_code (text) , document_details (text) | Accounts : account_id (text) , statement_id (text) , account_details (text);</schema>"
<primary_keys>[Primary Keys]: ref_document_types : document_type_code, ref_budget_codes : budget_type_code, projects : project_id, documents : document_id, statements : statement_id, documents_with_expenses : document_id, accounts : account_id</primary_keys>"
<foreign_keys>[Foreign Keys]: documents : project_id = projects : project_id | documents : document_type_code = ref_document_types : document_type_code | statements : statement_id = documents : document_id | documents_with_expenses : document_id = documents : document_id | documents_with_expenses : budget_type_code = ref_budget_codes : budget_type_code | accounts : statement_id = statements : statement_id</foreign_keys>"
Answer the following question with a SQL Statement:<question>What are the account details with the largest value or with value having char '5' in it?</question>
[SQL]:
| <SQL_QUERY>SELECT max(Account_details) FROM Accounts UNION SELECT Account_details FROM Accounts WHERE Account_details LIKE "%5%"</SQL_QUERY> | cre_Docs_and_Epenses | SELECT max(Account_details) FROM Accounts UNION SELECT Account_details FROM Accounts WHERE Account_details LIKE "%5%" | What are the account details with the largest value or with value having char '5' in it? | [Schema (values) (types)]: | cre_Docs_and_Epenses | Ref_Document_Types : document_type_code (text) , document_type_name (text) , document_type_description (text) | Ref_Budget_Codes : budget_type_code (text) , budget_type_description (text) | Projects : project_id (text) , project_details (text) | Documents : document_id (text) , document_type_code (text) , project_id (text) , document_date (text) , document_name (text) , document_description (text) , other_details (number) | Statements : statement_id (text) , statement_details (text) | Documents_with_Expenses : document_id (text) , budget_type_code (text) , document_details (text) | Accounts : account_id (text) , statement_id (text) , account_details (text); | [Primary Keys]: ref_document_types : document_type_code, ref_budget_codes : budget_type_code, projects : project_id, documents : document_id, statements : statement_id, documents_with_expenses : document_id, accounts : account_id | [Foreign Keys]: documents : project_id = projects : project_id | documents : document_type_code = ref_document_types : document_type_code | statements : statement_id = documents : document_id | documents_with_expenses : document_id = documents : document_id | documents_with_expenses : budget_type_code = ref_budget_codes : budget_type_code | accounts : statement_id = statements : statement_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)]: | cre_Docs_and_Epenses | Ref_Document_Types : document_type_code (text) , document_type_name (text) , document_type_description (text) | Ref_Budget_Codes : budget_type_code (text) , budget_type_description (text) | Projects : project_id (text) , project_details (text) | Documents : document_id (text) , document_type_code (text) , project_id (text) , document_date (text) , document_name (text) , document_description (text) , other_details (number) | Statements : statement_id (text) , statement_details (text) | Documents_with_Expenses : document_id (text) , budget_type_code (text) , document_details (text) | Accounts : account_id (text) , statement_id (text) , account_details (text);</schema>"
<primary_keys>[Primary Keys]: ref_document_types : document_type_code, ref_budget_codes : budget_type_code, projects : project_id, documents : document_id, statements : statement_id, documents_with_expenses : document_id, accounts : account_id</primary_keys>"
<foreign_keys>[Foreign Keys]: documents : project_id = projects : project_id | documents : document_type_code = ref_document_types : document_type_code | statements : statement_id = documents : document_id | documents_with_expenses : document_id = documents : document_id | documents_with_expenses : budget_type_code = ref_budget_codes : budget_type_code | accounts : statement_id = statements : statement_id</foreign_keys>"
Answer the following question with a SQL Statement:<question>Return the account details with the greatest value, as well as those that include the character 5.</question>
[SQL]:
| <SQL_QUERY>SELECT max(Account_details) FROM Accounts UNION SELECT Account_details FROM Accounts WHERE Account_details LIKE "%5%"</SQL_QUERY> | cre_Docs_and_Epenses | SELECT max(Account_details) FROM Accounts UNION SELECT Account_details FROM Accounts WHERE Account_details LIKE "%5%" | Return the account details with the greatest value, as well as those that include the character 5. | [Schema (values) (types)]: | cre_Docs_and_Epenses | Ref_Document_Types : document_type_code (text) , document_type_name (text) , document_type_description (text) | Ref_Budget_Codes : budget_type_code (text) , budget_type_description (text) | Projects : project_id (text) , project_details (text) | Documents : document_id (text) , document_type_code (text) , project_id (text) , document_date (text) , document_name (text) , document_description (text) , other_details (number) | Statements : statement_id (text) , statement_details (text) | Documents_with_Expenses : document_id (text) , budget_type_code (text) , document_details (text) | Accounts : account_id (text) , statement_id (text) , account_details (text); | [Primary Keys]: ref_document_types : document_type_code, ref_budget_codes : budget_type_code, projects : project_id, documents : document_id, statements : statement_id, documents_with_expenses : document_id, accounts : account_id | [Foreign Keys]: documents : project_id = projects : project_id | documents : document_type_code = ref_document_types : document_type_code | statements : statement_id = documents : document_id | documents_with_expenses : document_id = documents : document_id | documents_with_expenses : budget_type_code = ref_budget_codes : budget_type_code | accounts : statement_id = statements : statement_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)]: | scientist_1 | Scientists : ssn (text) , name (number) | Projects : code (text) , name (number) , hours (text) | AssignedTo : scientist (text) , project (number);</schema>"
<primary_keys>[Primary Keys]: scientists : ssn, projects : code, assignedto : scientist</primary_keys>"
<foreign_keys>[Foreign Keys]: assignedto : project = projects : code | assignedto : scientist = scientists : ssn</foreign_keys>"
Answer the following question with a SQL Statement:<question>Find the total number of scientists.</question>
[SQL]:
| <SQL_QUERY>SELECT count(*) FROM scientists</SQL_QUERY> | scientist_1 | SELECT count(*) FROM scientists | Find the total number of scientists. | [Schema (values) (types)]: | scientist_1 | Scientists : ssn (text) , name (number) | Projects : code (text) , name (number) , hours (text) | AssignedTo : scientist (text) , project (number); | [Primary Keys]: scientists : ssn, projects : code, assignedto : scientist | [Foreign Keys]: assignedto : project = projects : code | assignedto : scientist = scientists : ssn |
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)]: | scientist_1 | Scientists : ssn (text) , name (number) | Projects : code (text) , name (number) , hours (text) | AssignedTo : scientist (text) , project (number);</schema>"
<primary_keys>[Primary Keys]: scientists : ssn, projects : code, assignedto : scientist</primary_keys>"
<foreign_keys>[Foreign Keys]: assignedto : project = projects : code | assignedto : scientist = scientists : ssn</foreign_keys>"
Answer the following question with a SQL Statement:<question>How many scientists are there?</question>
[SQL]:
| <SQL_QUERY>SELECT count(*) FROM scientists</SQL_QUERY> | scientist_1 | SELECT count(*) FROM scientists | How many scientists are there? | [Schema (values) (types)]: | scientist_1 | Scientists : ssn (text) , name (number) | Projects : code (text) , name (number) , hours (text) | AssignedTo : scientist (text) , project (number); | [Primary Keys]: scientists : ssn, projects : code, assignedto : scientist | [Foreign Keys]: assignedto : project = projects : code | assignedto : scientist = scientists : ssn |
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)]: | scientist_1 | Scientists : ssn (text) , name (number) | Projects : code (text) , name (number) , hours (text) | AssignedTo : scientist (text) , project (number);</schema>"
<primary_keys>[Primary Keys]: scientists : ssn, projects : code, assignedto : scientist</primary_keys>"
<foreign_keys>[Foreign Keys]: assignedto : project = projects : code | assignedto : scientist = scientists : ssn</foreign_keys>"
Answer the following question with a SQL Statement:<question>Find the total hours of all projects.</question>
[SQL]:
| <SQL_QUERY>SELECT sum(hours) FROM projects</SQL_QUERY> | scientist_1 | SELECT sum(hours) FROM projects | Find the total hours of all projects. | [Schema (values) (types)]: | scientist_1 | Scientists : ssn (text) , name (number) | Projects : code (text) , name (number) , hours (text) | AssignedTo : scientist (text) , project (number); | [Primary Keys]: scientists : ssn, projects : code, assignedto : scientist | [Foreign Keys]: assignedto : project = projects : code | assignedto : scientist = scientists : ssn |
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)]: | scientist_1 | Scientists : ssn (text) , name (number) | Projects : code (text) , name (number) , hours (text) | AssignedTo : scientist (text) , project (number);</schema>"
<primary_keys>[Primary Keys]: scientists : ssn, projects : code, assignedto : scientist</primary_keys>"
<foreign_keys>[Foreign Keys]: assignedto : project = projects : code | assignedto : scientist = scientists : ssn</foreign_keys>"
Answer the following question with a SQL Statement:<question>What is the total number of hours for all projects?</question>
[SQL]:
| <SQL_QUERY>SELECT sum(hours) FROM projects</SQL_QUERY> | scientist_1 | SELECT sum(hours) FROM projects | What is the total number of hours for all projects? | [Schema (values) (types)]: | scientist_1 | Scientists : ssn (text) , name (number) | Projects : code (text) , name (number) , hours (text) | AssignedTo : scientist (text) , project (number); | [Primary Keys]: scientists : ssn, projects : code, assignedto : scientist | [Foreign Keys]: assignedto : project = projects : code | assignedto : scientist = scientists : ssn |
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)]: | scientist_1 | Scientists : ssn (text) , name (number) | Projects : code (text) , name (number) , hours (text) | AssignedTo : scientist (text) , project (number);</schema>"
<primary_keys>[Primary Keys]: scientists : ssn, projects : code, assignedto : scientist</primary_keys>"
<foreign_keys>[Foreign Keys]: assignedto : project = projects : code | assignedto : scientist = scientists : ssn</foreign_keys>"
Answer the following question with a SQL Statement:<question>How many different scientists are assigned to any project?</question>
[SQL]:
| <SQL_QUERY>SELECT count(DISTINCT scientist) FROM assignedto</SQL_QUERY> | scientist_1 | SELECT count(DISTINCT scientist) FROM assignedto | How many different scientists are assigned to any project? | [Schema (values) (types)]: | scientist_1 | Scientists : ssn (text) , name (number) | Projects : code (text) , name (number) , hours (text) | AssignedTo : scientist (text) , project (number); | [Primary Keys]: scientists : ssn, projects : code, assignedto : scientist | [Foreign Keys]: assignedto : project = projects : code | assignedto : scientist = scientists : ssn |
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)]: | scientist_1 | Scientists : ssn (text) , name (number) | Projects : code (text) , name (number) , hours (text) | AssignedTo : scientist (text) , project (number);</schema>"
<primary_keys>[Primary Keys]: scientists : ssn, projects : code, assignedto : scientist</primary_keys>"
<foreign_keys>[Foreign Keys]: assignedto : project = projects : code | assignedto : scientist = scientists : ssn</foreign_keys>"
Answer the following question with a SQL Statement:<question>Count the number of different scientists assigned to any project.</question>
[SQL]:
| <SQL_QUERY>SELECT count(DISTINCT scientist) FROM assignedto</SQL_QUERY> | scientist_1 | SELECT count(DISTINCT scientist) FROM assignedto | Count the number of different scientists assigned to any project. | [Schema (values) (types)]: | scientist_1 | Scientists : ssn (text) , name (number) | Projects : code (text) , name (number) , hours (text) | AssignedTo : scientist (text) , project (number); | [Primary Keys]: scientists : ssn, projects : code, assignedto : scientist | [Foreign Keys]: assignedto : project = projects : code | assignedto : scientist = scientists : ssn |
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)]: | scientist_1 | Scientists : ssn (text) , name (number) | Projects : code (text) , name (number) , hours (text) | AssignedTo : scientist (text) , project (number);</schema>"
<primary_keys>[Primary Keys]: scientists : ssn, projects : code, assignedto : scientist</primary_keys>"
<foreign_keys>[Foreign Keys]: assignedto : project = projects : code | assignedto : scientist = scientists : ssn</foreign_keys>"
Answer the following question with a SQL Statement:<question>Find the number of distinct projects.</question>
[SQL]:
| <SQL_QUERY>SELECT count(DISTINCT name) FROM projects</SQL_QUERY> | scientist_1 | SELECT count(DISTINCT name) FROM projects | Find the number of distinct projects. | [Schema (values) (types)]: | scientist_1 | Scientists : ssn (text) , name (number) | Projects : code (text) , name (number) , hours (text) | AssignedTo : scientist (text) , project (number); | [Primary Keys]: scientists : ssn, projects : code, assignedto : scientist | [Foreign Keys]: assignedto : project = projects : code | assignedto : scientist = scientists : ssn |
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)]: | scientist_1 | Scientists : ssn (text) , name (number) | Projects : code (text) , name (number) , hours (text) | AssignedTo : scientist (text) , project (number);</schema>"
<primary_keys>[Primary Keys]: scientists : ssn, projects : code, assignedto : scientist</primary_keys>"
<foreign_keys>[Foreign Keys]: assignedto : project = projects : code | assignedto : scientist = scientists : ssn</foreign_keys>"
Answer the following question with a SQL Statement:<question>How many different projects are there?</question>
[SQL]:
| <SQL_QUERY>SELECT count(DISTINCT name) FROM projects</SQL_QUERY> | scientist_1 | SELECT count(DISTINCT name) FROM projects | How many different projects are there? | [Schema (values) (types)]: | scientist_1 | Scientists : ssn (text) , name (number) | Projects : code (text) , name (number) , hours (text) | AssignedTo : scientist (text) , project (number); | [Primary Keys]: scientists : ssn, projects : code, assignedto : scientist | [Foreign Keys]: assignedto : project = projects : code | assignedto : scientist = scientists : ssn |
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)]: | scientist_1 | Scientists : ssn (text) , name (number) | Projects : code (text) , name (number) , hours (text) | AssignedTo : scientist (text) , project (number);</schema>"
<primary_keys>[Primary Keys]: scientists : ssn, projects : code, assignedto : scientist</primary_keys>"
<foreign_keys>[Foreign Keys]: assignedto : project = projects : code | assignedto : scientist = scientists : ssn</foreign_keys>"
Answer the following question with a SQL Statement:<question>Find the average hours of all projects.</question>
[SQL]:
| <SQL_QUERY>SELECT avg(hours) FROM projects</SQL_QUERY> | scientist_1 | SELECT avg(hours) FROM projects | Find the average hours of all projects. | [Schema (values) (types)]: | scientist_1 | Scientists : ssn (text) , name (number) | Projects : code (text) , name (number) , hours (text) | AssignedTo : scientist (text) , project (number); | [Primary Keys]: scientists : ssn, projects : code, assignedto : scientist | [Foreign Keys]: assignedto : project = projects : code | assignedto : scientist = scientists : ssn |
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)]: | scientist_1 | Scientists : ssn (text) , name (number) | Projects : code (text) , name (number) , hours (text) | AssignedTo : scientist (text) , project (number);</schema>"
<primary_keys>[Primary Keys]: scientists : ssn, projects : code, assignedto : scientist</primary_keys>"
<foreign_keys>[Foreign Keys]: assignedto : project = projects : code | assignedto : scientist = scientists : ssn</foreign_keys>"
Answer the following question with a SQL Statement:<question>What is the average hours across all projects?</question>
[SQL]:
| <SQL_QUERY>SELECT avg(hours) FROM projects</SQL_QUERY> | scientist_1 | SELECT avg(hours) FROM projects | What is the average hours across all projects? | [Schema (values) (types)]: | scientist_1 | Scientists : ssn (text) , name (number) | Projects : code (text) , name (number) , hours (text) | AssignedTo : scientist (text) , project (number); | [Primary Keys]: scientists : ssn, projects : code, assignedto : scientist | [Foreign Keys]: assignedto : project = projects : code | assignedto : scientist = scientists : ssn |
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)]: | scientist_1 | Scientists : ssn (text) , name (number) | Projects : code (text) , name (number) , hours (text) | AssignedTo : scientist (text) , project (number);</schema>"
<primary_keys>[Primary Keys]: scientists : ssn, projects : code, assignedto : scientist</primary_keys>"
<foreign_keys>[Foreign Keys]: assignedto : project = projects : code | assignedto : scientist = scientists : ssn</foreign_keys>"
Answer the following question with a SQL Statement:<question>Find the name of project that continues for the longest time.</question>
[SQL]:
| <SQL_QUERY>SELECT name FROM projects ORDER BY hours DESC LIMIT 1</SQL_QUERY> | scientist_1 | SELECT name FROM projects ORDER BY hours DESC LIMIT 1 | Find the name of project that continues for the longest time. | [Schema (values) (types)]: | scientist_1 | Scientists : ssn (text) , name (number) | Projects : code (text) , name (number) , hours (text) | AssignedTo : scientist (text) , project (number); | [Primary Keys]: scientists : ssn, projects : code, assignedto : scientist | [Foreign Keys]: assignedto : project = projects : code | assignedto : scientist = scientists : ssn |
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)]: | scientist_1 | Scientists : ssn (text) , name (number) | Projects : code (text) , name (number) , hours (text) | AssignedTo : scientist (text) , project (number);</schema>"
<primary_keys>[Primary Keys]: scientists : ssn, projects : code, assignedto : scientist</primary_keys>"
<foreign_keys>[Foreign Keys]: assignedto : project = projects : code | assignedto : scientist = scientists : ssn</foreign_keys>"
Answer the following question with a SQL Statement:<question>What is the name of the project with the most hours?</question>
[SQL]:
| <SQL_QUERY>SELECT name FROM projects ORDER BY hours DESC LIMIT 1</SQL_QUERY> | scientist_1 | SELECT name FROM projects ORDER BY hours DESC LIMIT 1 | What is the name of the project with the most hours? | [Schema (values) (types)]: | scientist_1 | Scientists : ssn (text) , name (number) | Projects : code (text) , name (number) , hours (text) | AssignedTo : scientist (text) , project (number); | [Primary Keys]: scientists : ssn, projects : code, assignedto : scientist | [Foreign Keys]: assignedto : project = projects : code | assignedto : scientist = scientists : ssn |
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)]: | scientist_1 | Scientists : ssn (text) , name (number) | Projects : code (text) , name (number) , hours (text) | AssignedTo : scientist (text) , project (number);</schema>"
<primary_keys>[Primary Keys]: scientists : ssn, projects : code, assignedto : scientist</primary_keys>"
<foreign_keys>[Foreign Keys]: assignedto : project = projects : code | assignedto : scientist = scientists : ssn</foreign_keys>"
Answer the following question with a SQL Statement:<question>List the name of all projects that are operated longer than the average working hours of all projects.</question>
[SQL]:
| <SQL_QUERY>SELECT name FROM projects WHERE hours > (SELECT avg(hours) FROM projects)</SQL_QUERY> | scientist_1 | SELECT name FROM projects WHERE hours > (SELECT avg(hours) FROM projects) | List the name of all projects that are operated longer than the average working hours of all projects. | [Schema (values) (types)]: | scientist_1 | Scientists : ssn (text) , name (number) | Projects : code (text) , name (number) , hours (text) | AssignedTo : scientist (text) , project (number); | [Primary Keys]: scientists : ssn, projects : code, assignedto : scientist | [Foreign Keys]: assignedto : project = projects : code | assignedto : scientist = scientists : ssn |
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)]: | scientist_1 | Scientists : ssn (text) , name (number) | Projects : code (text) , name (number) , hours (text) | AssignedTo : scientist (text) , project (number);</schema>"
<primary_keys>[Primary Keys]: scientists : ssn, projects : code, assignedto : scientist</primary_keys>"
<foreign_keys>[Foreign Keys]: assignedto : project = projects : code | assignedto : scientist = scientists : ssn</foreign_keys>"
Answer the following question with a SQL Statement:<question>What are the names of projects that have taken longer than the average number of hours for all projects?</question>
[SQL]:
| <SQL_QUERY>SELECT name FROM projects WHERE hours > (SELECT avg(hours) FROM projects)</SQL_QUERY> | scientist_1 | SELECT name FROM projects WHERE hours > (SELECT avg(hours) FROM projects) | What are the names of projects that have taken longer than the average number of hours for all projects? | [Schema (values) (types)]: | scientist_1 | Scientists : ssn (text) , name (number) | Projects : code (text) , name (number) , hours (text) | AssignedTo : scientist (text) , project (number); | [Primary Keys]: scientists : ssn, projects : code, assignedto : scientist | [Foreign Keys]: assignedto : project = projects : code | assignedto : scientist = scientists : ssn |
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)]: | scientist_1 | Scientists : ssn (text) , name (number) | Projects : code (text) , name (number) , hours (text) | AssignedTo : scientist (text) , project (number);</schema>"
<primary_keys>[Primary Keys]: scientists : ssn, projects : code, assignedto : scientist</primary_keys>"
<foreign_keys>[Foreign Keys]: assignedto : project = projects : code | assignedto : scientist = scientists : ssn</foreign_keys>"
Answer the following question with a SQL Statement:<question>Find the name and hours of project that has the most number of scientists.</question>
[SQL]:
| <SQL_QUERY>SELECT T1.name , T1.hours FROM projects AS T1 JOIN assignedto AS T2 ON T1.code = T2.project GROUP BY T2.project ORDER BY count(*) DESC LIMIT 1</SQL_QUERY> | scientist_1 | SELECT T1.name , T1.hours FROM projects AS T1 JOIN assignedto AS T2 ON T1.code = T2.project GROUP BY T2.project ORDER BY count(*) DESC LIMIT 1 | Find the name and hours of project that has the most number of scientists. | [Schema (values) (types)]: | scientist_1 | Scientists : ssn (text) , name (number) | Projects : code (text) , name (number) , hours (text) | AssignedTo : scientist (text) , project (number); | [Primary Keys]: scientists : ssn, projects : code, assignedto : scientist | [Foreign Keys]: assignedto : project = projects : code | assignedto : scientist = scientists : ssn |
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)]: | scientist_1 | Scientists : ssn (text) , name (number) | Projects : code (text) , name (number) , hours (text) | AssignedTo : scientist (text) , project (number);</schema>"
<primary_keys>[Primary Keys]: scientists : ssn, projects : code, assignedto : scientist</primary_keys>"
<foreign_keys>[Foreign Keys]: assignedto : project = projects : code | assignedto : scientist = scientists : ssn</foreign_keys>"
Answer the following question with a SQL Statement:<question>What is the name and hours for the project which has the most scientists assigned to it?</question>
[SQL]:
| <SQL_QUERY>SELECT T1.name , T1.hours FROM projects AS T1 JOIN assignedto AS T2 ON T1.code = T2.project GROUP BY T2.project ORDER BY count(*) DESC LIMIT 1</SQL_QUERY> | scientist_1 | SELECT T1.name , T1.hours FROM projects AS T1 JOIN assignedto AS T2 ON T1.code = T2.project GROUP BY T2.project ORDER BY count(*) DESC LIMIT 1 | What is the name and hours for the project which has the most scientists assigned to it? | [Schema (values) (types)]: | scientist_1 | Scientists : ssn (text) , name (number) | Projects : code (text) , name (number) , hours (text) | AssignedTo : scientist (text) , project (number); | [Primary Keys]: scientists : ssn, projects : code, assignedto : scientist | [Foreign Keys]: assignedto : project = projects : code | assignedto : scientist = scientists : ssn |
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)]: | scientist_1 | Scientists : ssn (text) , name (number) | Projects : code (text) , name (number) , hours (text) | AssignedTo : scientist (text) , project (number);</schema>"
<primary_keys>[Primary Keys]: scientists : ssn, projects : code, assignedto : scientist</primary_keys>"
<foreign_keys>[Foreign Keys]: assignedto : project = projects : code | assignedto : scientist = scientists : ssn</foreign_keys>"
Answer the following question with a SQL Statement:<question>Find the name of the project for which a scientist whose name contains ‘Smith’ is assigned to.</question>
[SQL]:
| <SQL_QUERY>SELECT T2.name FROM assignedto AS T1 JOIN projects AS T2 ON T1.project = T2.code JOIN scientists AS T3 ON T1.scientist = T3.SSN WHERE T3.name LIKE '%Smith%'</SQL_QUERY> | scientist_1 | SELECT T2.name FROM assignedto AS T1 JOIN projects AS T2 ON T1.project = T2.code JOIN scientists AS T3 ON T1.scientist = T3.SSN WHERE T3.name LIKE '%Smith%' | Find the name of the project for which a scientist whose name contains ‘Smith’ is assigned to. | [Schema (values) (types)]: | scientist_1 | Scientists : ssn (text) , name (number) | Projects : code (text) , name (number) , hours (text) | AssignedTo : scientist (text) , project (number); | [Primary Keys]: scientists : ssn, projects : code, assignedto : scientist | [Foreign Keys]: assignedto : project = projects : code | assignedto : scientist = scientists : ssn |
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)]: | scientist_1 | Scientists : ssn (text) , name (number) | Projects : code (text) , name (number) , hours (text) | AssignedTo : scientist (text) , project (number);</schema>"
<primary_keys>[Primary Keys]: scientists : ssn, projects : code, assignedto : scientist</primary_keys>"
<foreign_keys>[Foreign Keys]: assignedto : project = projects : code | assignedto : scientist = scientists : ssn</foreign_keys>"
Answer the following question with a SQL Statement:<question>What is the name of the project that has a scientist assigned to it whose name contains 'Smith'?</question>
[SQL]:
| <SQL_QUERY>SELECT T2.name FROM assignedto AS T1 JOIN projects AS T2 ON T1.project = T2.code JOIN scientists AS T3 ON T1.scientist = T3.SSN WHERE T3.name LIKE '%Smith%'</SQL_QUERY> | scientist_1 | SELECT T2.name FROM assignedto AS T1 JOIN projects AS T2 ON T1.project = T2.code JOIN scientists AS T3 ON T1.scientist = T3.SSN WHERE T3.name LIKE '%Smith%' | What is the name of the project that has a scientist assigned to it whose name contains 'Smith'? | [Schema (values) (types)]: | scientist_1 | Scientists : ssn (text) , name (number) | Projects : code (text) , name (number) , hours (text) | AssignedTo : scientist (text) , project (number); | [Primary Keys]: scientists : ssn, projects : code, assignedto : scientist | [Foreign Keys]: assignedto : project = projects : code | assignedto : scientist = scientists : ssn |
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)]: | scientist_1 | Scientists : ssn (text) , name (number) | Projects : code (text) , name (number) , hours (text) | AssignedTo : scientist (text) , project (number);</schema>"
<primary_keys>[Primary Keys]: scientists : ssn, projects : code, assignedto : scientist</primary_keys>"
<foreign_keys>[Foreign Keys]: assignedto : project = projects : code | assignedto : scientist = scientists : ssn</foreign_keys>"
Answer the following question with a SQL Statement:<question>Find the total hours of the projects that scientists named Michael Rogers or Carol Smith are assigned to.</question>
[SQL]:
| <SQL_QUERY>SELECT sum(T2.hours) FROM assignedto AS T1 JOIN projects AS T2 ON T1.project = T2.code JOIN scientists AS T3 ON T1.scientist = T3.SSN WHERE T3.name = 'Michael Rogers' OR T3.name = 'Carol Smith'</SQL_QUERY> | scientist_1 | SELECT sum(T2.hours) FROM assignedto AS T1 JOIN projects AS T2 ON T1.project = T2.code JOIN scientists AS T3 ON T1.scientist = T3.SSN WHERE T3.name = 'Michael Rogers' OR T3.name = 'Carol Smith' | Find the total hours of the projects that scientists named Michael Rogers or Carol Smith are assigned to. | [Schema (values) (types)]: | scientist_1 | Scientists : ssn (text) , name (number) | Projects : code (text) , name (number) , hours (text) | AssignedTo : scientist (text) , project (number); | [Primary Keys]: scientists : ssn, projects : code, assignedto : scientist | [Foreign Keys]: assignedto : project = projects : code | assignedto : scientist = scientists : ssn |
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)]: | scientist_1 | Scientists : ssn (text) , name (number) | Projects : code (text) , name (number) , hours (text) | AssignedTo : scientist (text) , project (number);</schema>"
<primary_keys>[Primary Keys]: scientists : ssn, projects : code, assignedto : scientist</primary_keys>"
<foreign_keys>[Foreign Keys]: assignedto : project = projects : code | assignedto : scientist = scientists : ssn</foreign_keys>"
Answer the following question with a SQL Statement:<question>What is the sum of hours for projects that scientists with the name Michael Rogers or Carol Smith are assigned to?</question>
[SQL]:
| <SQL_QUERY>SELECT sum(T2.hours) FROM assignedto AS T1 JOIN projects AS T2 ON T1.project = T2.code JOIN scientists AS T3 ON T1.scientist = T3.SSN WHERE T3.name = 'Michael Rogers' OR T3.name = 'Carol Smith'</SQL_QUERY> | scientist_1 | SELECT sum(T2.hours) FROM assignedto AS T1 JOIN projects AS T2 ON T1.project = T2.code JOIN scientists AS T3 ON T1.scientist = T3.SSN WHERE T3.name = 'Michael Rogers' OR T3.name = 'Carol Smith' | What is the sum of hours for projects that scientists with the name Michael Rogers or Carol Smith are assigned to? | [Schema (values) (types)]: | scientist_1 | Scientists : ssn (text) , name (number) | Projects : code (text) , name (number) , hours (text) | AssignedTo : scientist (text) , project (number); | [Primary Keys]: scientists : ssn, projects : code, assignedto : scientist | [Foreign Keys]: assignedto : project = projects : code | assignedto : scientist = scientists : ssn |
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)]: | scientist_1 | Scientists : ssn (text) , name (number) | Projects : code (text) , name (number) , hours (text) | AssignedTo : scientist (text) , project (number);</schema>"
<primary_keys>[Primary Keys]: scientists : ssn, projects : code, assignedto : scientist</primary_keys>"
<foreign_keys>[Foreign Keys]: assignedto : project = projects : code | assignedto : scientist = scientists : ssn</foreign_keys>"
Answer the following question with a SQL Statement:<question>Find the name of projects that require between 100 and 300 hours of work.</question>
[SQL]:
| <SQL_QUERY>SELECT name FROM projects WHERE hours BETWEEN 100 AND 300</SQL_QUERY> | scientist_1 | SELECT name FROM projects WHERE hours BETWEEN 100 AND 300 | Find the name of projects that require between 100 and 300 hours of work. | [Schema (values) (types)]: | scientist_1 | Scientists : ssn (text) , name (number) | Projects : code (text) , name (number) , hours (text) | AssignedTo : scientist (text) , project (number); | [Primary Keys]: scientists : ssn, projects : code, assignedto : scientist | [Foreign Keys]: assignedto : project = projects : code | assignedto : scientist = scientists : ssn |
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)]: | scientist_1 | Scientists : ssn (text) , name (number) | Projects : code (text) , name (number) , hours (text) | AssignedTo : scientist (text) , project (number);</schema>"
<primary_keys>[Primary Keys]: scientists : ssn, projects : code, assignedto : scientist</primary_keys>"
<foreign_keys>[Foreign Keys]: assignedto : project = projects : code | assignedto : scientist = scientists : ssn</foreign_keys>"
Answer the following question with a SQL Statement:<question>What are the names of projects that require between 100 and 300 hours?</question>
[SQL]:
| <SQL_QUERY>SELECT name FROM projects WHERE hours BETWEEN 100 AND 300</SQL_QUERY> | scientist_1 | SELECT name FROM projects WHERE hours BETWEEN 100 AND 300 | What are the names of projects that require between 100 and 300 hours? | [Schema (values) (types)]: | scientist_1 | Scientists : ssn (text) , name (number) | Projects : code (text) , name (number) , hours (text) | AssignedTo : scientist (text) , project (number); | [Primary Keys]: scientists : ssn, projects : code, assignedto : scientist | [Foreign Keys]: assignedto : project = projects : code | assignedto : scientist = scientists : ssn |
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)]: | scientist_1 | Scientists : ssn (text) , name (number) | Projects : code (text) , name (number) , hours (text) | AssignedTo : scientist (text) , project (number);</schema>"
<primary_keys>[Primary Keys]: scientists : ssn, projects : code, assignedto : scientist</primary_keys>"
<foreign_keys>[Foreign Keys]: assignedto : project = projects : code | assignedto : scientist = scientists : ssn</foreign_keys>"
Answer the following question with a SQL Statement:<question>Find the name of the scientist who worked on both a project named 'Matter of Time' and a project named 'A Puzzling Parallax'.</question>
[SQL]:
| <SQL_QUERY>SELECT T3.name FROM assignedto AS T1 JOIN projects AS T2 ON T1.project = T2.code JOIN scientists AS T3 ON T1.scientist = T3.SSN WHERE T2.name = 'Matter of Time' INTERSECT SELECT T3.name FROM assignedto AS T1 JOIN projects AS T2 ON T1.project = T2.code JOIN scientists AS T3 ON T1.scientist = T3.SSN WHERE T2.name = 'A Puzzling Parallax'</SQL_QUERY> | scientist_1 | SELECT T3.name FROM assignedto AS T1 JOIN projects AS T2 ON T1.project = T2.code JOIN scientists AS T3 ON T1.scientist = T3.SSN WHERE T2.name = 'Matter of Time' INTERSECT SELECT T3.name FROM assignedto AS T1 JOIN projects AS T2 ON T1.project = T2.code JOIN scientists AS T3 ON T1.scientist = T3.SSN WHERE T2.name = 'A Puzzling Parallax' | Find the name of the scientist who worked on both a project named 'Matter of Time' and a project named 'A Puzzling Parallax'. | [Schema (values) (types)]: | scientist_1 | Scientists : ssn (text) , name (number) | Projects : code (text) , name (number) , hours (text) | AssignedTo : scientist (text) , project (number); | [Primary Keys]: scientists : ssn, projects : code, assignedto : scientist | [Foreign Keys]: assignedto : project = projects : code | assignedto : scientist = scientists : ssn |
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)]: | scientist_1 | Scientists : ssn (text) , name (number) | Projects : code (text) , name (number) , hours (text) | AssignedTo : scientist (text) , project (number);</schema>"
<primary_keys>[Primary Keys]: scientists : ssn, projects : code, assignedto : scientist</primary_keys>"
<foreign_keys>[Foreign Keys]: assignedto : project = projects : code | assignedto : scientist = scientists : ssn</foreign_keys>"
Answer the following question with a SQL Statement:<question>What are the names of any scientists who worked on projects named 'Matter of Time' and 'A Puzzling Pattern'?</question>
[SQL]:
| <SQL_QUERY>SELECT T3.name FROM assignedto AS T1 JOIN projects AS T2 ON T1.project = T2.code JOIN scientists AS T3 ON T1.scientist = T3.SSN WHERE T2.name = 'Matter of Time' INTERSECT SELECT T3.name FROM assignedto AS T1 JOIN projects AS T2 ON T1.project = T2.code JOIN scientists AS T3 ON T1.scientist = T3.SSN WHERE T2.name = 'A Puzzling Parallax'</SQL_QUERY> | scientist_1 | SELECT T3.name FROM assignedto AS T1 JOIN projects AS T2 ON T1.project = T2.code JOIN scientists AS T3 ON T1.scientist = T3.SSN WHERE T2.name = 'Matter of Time' INTERSECT SELECT T3.name FROM assignedto AS T1 JOIN projects AS T2 ON T1.project = T2.code JOIN scientists AS T3 ON T1.scientist = T3.SSN WHERE T2.name = 'A Puzzling Parallax' | What are the names of any scientists who worked on projects named 'Matter of Time' and 'A Puzzling Pattern'? | [Schema (values) (types)]: | scientist_1 | Scientists : ssn (text) , name (number) | Projects : code (text) , name (number) , hours (text) | AssignedTo : scientist (text) , project (number); | [Primary Keys]: scientists : ssn, projects : code, assignedto : scientist | [Foreign Keys]: assignedto : project = projects : code | assignedto : scientist = scientists : ssn |
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)]: | scientist_1 | Scientists : ssn (text) , name (number) | Projects : code (text) , name (number) , hours (text) | AssignedTo : scientist (text) , project (number);</schema>"
<primary_keys>[Primary Keys]: scientists : ssn, projects : code, assignedto : scientist</primary_keys>"
<foreign_keys>[Foreign Keys]: assignedto : project = projects : code | assignedto : scientist = scientists : ssn</foreign_keys>"
Answer the following question with a SQL Statement:<question>List the names of all scientists sorted in alphabetical order.</question>
[SQL]:
| <SQL_QUERY>SELECT name FROM scientists ORDER BY name</SQL_QUERY> | scientist_1 | SELECT name FROM scientists ORDER BY name | List the names of all scientists sorted in alphabetical order. | [Schema (values) (types)]: | scientist_1 | Scientists : ssn (text) , name (number) | Projects : code (text) , name (number) , hours (text) | AssignedTo : scientist (text) , project (number); | [Primary Keys]: scientists : ssn, projects : code, assignedto : scientist | [Foreign Keys]: assignedto : project = projects : code | assignedto : scientist = scientists : ssn |
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)]: | scientist_1 | Scientists : ssn (text) , name (number) | Projects : code (text) , name (number) , hours (text) | AssignedTo : scientist (text) , project (number);</schema>"
<primary_keys>[Primary Keys]: scientists : ssn, projects : code, assignedto : scientist</primary_keys>"
<foreign_keys>[Foreign Keys]: assignedto : project = projects : code | assignedto : scientist = scientists : ssn</foreign_keys>"
Answer the following question with a SQL Statement:<question>What are the names of all the scientists in alphabetical order?</question>
[SQL]:
| <SQL_QUERY>SELECT name FROM scientists ORDER BY name</SQL_QUERY> | scientist_1 | SELECT name FROM scientists ORDER BY name | What are the names of all the scientists in alphabetical order? | [Schema (values) (types)]: | scientist_1 | Scientists : ssn (text) , name (number) | Projects : code (text) , name (number) , hours (text) | AssignedTo : scientist (text) , project (number); | [Primary Keys]: scientists : ssn, projects : code, assignedto : scientist | [Foreign Keys]: assignedto : project = projects : code | assignedto : scientist = scientists : ssn |
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)]: | scientist_1 | Scientists : ssn (text) , name (number) | Projects : code (text) , name (number) , hours (text) | AssignedTo : scientist (text) , project (number);</schema>"
<primary_keys>[Primary Keys]: scientists : ssn, projects : code, assignedto : scientist</primary_keys>"
<foreign_keys>[Foreign Keys]: assignedto : project = projects : code | assignedto : scientist = scientists : ssn</foreign_keys>"
Answer the following question with a SQL Statement:<question>Find the number of scientists involved for each project name.</question>
[SQL]:
| <SQL_QUERY>SELECT count(*) , T1.name FROM projects AS T1 JOIN assignedto AS T2 ON T1.code = T2.project GROUP BY T1.name</SQL_QUERY> | scientist_1 | SELECT count(*) , T1.name FROM projects AS T1 JOIN assignedto AS T2 ON T1.code = T2.project GROUP BY T1.name | Find the number of scientists involved for each project name. | [Schema (values) (types)]: | scientist_1 | Scientists : ssn (text) , name (number) | Projects : code (text) , name (number) , hours (text) | AssignedTo : scientist (text) , project (number); | [Primary Keys]: scientists : ssn, projects : code, assignedto : scientist | [Foreign Keys]: assignedto : project = projects : code | assignedto : scientist = scientists : ssn |
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)]: | scientist_1 | Scientists : ssn (text) , name (number) | Projects : code (text) , name (number) , hours (text) | AssignedTo : scientist (text) , project (number);</schema>"
<primary_keys>[Primary Keys]: scientists : ssn, projects : code, assignedto : scientist</primary_keys>"
<foreign_keys>[Foreign Keys]: assignedto : project = projects : code | assignedto : scientist = scientists : ssn</foreign_keys>"
Answer the following question with a SQL Statement:<question>What are the naems of all the projects, and how many scientists were assigned to each of them?</question>
[SQL]:
| <SQL_QUERY>SELECT count(*) , T1.name FROM projects AS T1 JOIN assignedto AS T2 ON T1.code = T2.project GROUP BY T1.name</SQL_QUERY> | scientist_1 | SELECT count(*) , T1.name FROM projects AS T1 JOIN assignedto AS T2 ON T1.code = T2.project GROUP BY T1.name | What are the naems of all the projects, and how many scientists were assigned to each of them? | [Schema (values) (types)]: | scientist_1 | Scientists : ssn (text) , name (number) | Projects : code (text) , name (number) , hours (text) | AssignedTo : scientist (text) , project (number); | [Primary Keys]: scientists : ssn, projects : code, assignedto : scientist | [Foreign Keys]: assignedto : project = projects : code | assignedto : scientist = scientists : ssn |
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)]: | scientist_1 | Scientists : ssn (text) , name (number) | Projects : code (text) , name (number) , hours (text) | AssignedTo : scientist (text) , project (number);</schema>"
<primary_keys>[Primary Keys]: scientists : ssn, projects : code, assignedto : scientist</primary_keys>"
<foreign_keys>[Foreign Keys]: assignedto : project = projects : code | assignedto : scientist = scientists : ssn</foreign_keys>"
Answer the following question with a SQL Statement:<question>Find the number of scientists involved for the projects that require more than 300 hours.</question>
[SQL]:
| <SQL_QUERY>SELECT count(*) , T1.name FROM projects AS T1 JOIN assignedto AS T2 ON T1.code = T2.project WHERE T1.hours > 300 GROUP BY T1.name</SQL_QUERY> | scientist_1 | SELECT count(*) , T1.name FROM projects AS T1 JOIN assignedto AS T2 ON T1.code = T2.project WHERE T1.hours > 300 GROUP BY T1.name | Find the number of scientists involved for the projects that require more than 300 hours. | [Schema (values) (types)]: | scientist_1 | Scientists : ssn (text) , name (number) | Projects : code (text) , name (number) , hours (text) | AssignedTo : scientist (text) , project (number); | [Primary Keys]: scientists : ssn, projects : code, assignedto : scientist | [Foreign Keys]: assignedto : project = projects : code | assignedto : scientist = scientists : ssn |
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)]: | scientist_1 | Scientists : ssn (text) , name (number) | Projects : code (text) , name (number) , hours (text) | AssignedTo : scientist (text) , project (number);</schema>"
<primary_keys>[Primary Keys]: scientists : ssn, projects : code, assignedto : scientist</primary_keys>"
<foreign_keys>[Foreign Keys]: assignedto : project = projects : code | assignedto : scientist = scientists : ssn</foreign_keys>"
Answer the following question with a SQL Statement:<question>What are the names of projects that require more than 300 hours, and how many scientists are assigned to each?</question>
[SQL]:
| <SQL_QUERY>SELECT count(*) , T1.name FROM projects AS T1 JOIN assignedto AS T2 ON T1.code = T2.project WHERE T1.hours > 300 GROUP BY T1.name</SQL_QUERY> | scientist_1 | SELECT count(*) , T1.name FROM projects AS T1 JOIN assignedto AS T2 ON T1.code = T2.project WHERE T1.hours > 300 GROUP BY T1.name | What are the names of projects that require more than 300 hours, and how many scientists are assigned to each? | [Schema (values) (types)]: | scientist_1 | Scientists : ssn (text) , name (number) | Projects : code (text) , name (number) , hours (text) | AssignedTo : scientist (text) , project (number); | [Primary Keys]: scientists : ssn, projects : code, assignedto : scientist | [Foreign Keys]: assignedto : project = projects : code | assignedto : scientist = scientists : ssn |
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)]: | scientist_1 | Scientists : ssn (text) , name (number) | Projects : code (text) , name (number) , hours (text) | AssignedTo : scientist (text) , project (number);</schema>"
<primary_keys>[Primary Keys]: scientists : ssn, projects : code, assignedto : scientist</primary_keys>"
<foreign_keys>[Foreign Keys]: assignedto : project = projects : code | assignedto : scientist = scientists : ssn</foreign_keys>"
Answer the following question with a SQL Statement:<question>Find the number of projects which each scientist is working on and scientist's name.</question>
[SQL]:
| <SQL_QUERY>SELECT count(*) , T1.name FROM scientists AS T1 JOIN assignedto AS T2 ON T1.ssn = T2.scientist GROUP BY T1.name</SQL_QUERY> | scientist_1 | SELECT count(*) , T1.name FROM scientists AS T1 JOIN assignedto AS T2 ON T1.ssn = T2.scientist GROUP BY T1.name | Find the number of projects which each scientist is working on and scientist's name. | [Schema (values) (types)]: | scientist_1 | Scientists : ssn (text) , name (number) | Projects : code (text) , name (number) , hours (text) | AssignedTo : scientist (text) , project (number); | [Primary Keys]: scientists : ssn, projects : code, assignedto : scientist | [Foreign Keys]: assignedto : project = projects : code | assignedto : scientist = scientists : ssn |
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