Input:
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)]: | dog_kennels |  Breeds : breed_code (text) , breed_name (text) | Charges : charge_id (text) , charge_type (text) , charge_amount (text) | Sizes : size_code (text) , size_description (text) | Treatment_Types : treatment_type_code (text) , treatment_type_description (text) | Owners : owner_id (text) , first_name (text) , last_name (text) , street (number) , city (text) , state (number) , zip_code (text) , email_address (text) , home_phone (text) , cell_number (text) | Dogs : dog_id (text) , owner_id (text) , abandoned_yn (text) , breed_code (number) , size_code (text) , name (number) , age (text) , date_of_birth (text) , gender (text) , weight (text) , date_arrived (number) , date_adopted (text) , date_departed (text) | Professionals : professional_id (text) , role_code (text) , first_name (text) , street (number) , city (text) , state (number) , zip_code (text) , last_name (text) , email_address (text) , home_phone (text) , cell_number (number) | Treatments : treatment_id (text) , dog_id (text) , professional_id (text) , treatment_type_code (number) , date_of_treatment (text) , cost_of_treatment (number);</schema>"
<primary_keys>[Primary Keys]: breeds : breed_code, charges : charge_id, sizes : size_code, treatment_types : treatment_type_code, owners : owner_id, dogs : dog_id, professionals : professional_id, treatments : treatment_id</primary_keys>"
<foreign_keys>[Foreign Keys]: dogs : owner_id = owners : owner_id | dogs : owner_id = owners : owner_id | dogs : size_code = sizes : size_code | dogs : breed_code = breeds : breed_code | treatments : dog_id = dogs : dog_id | treatments : professional_id = professionals : professional_id | treatments : treatment_type_code = treatment_types : treatment_type_code</foreign_keys>"
Answer the following question with a SQL Statement:<question>Give me the description of the treatment type whose total cost is the lowest.</question>
[SQL]:

Output: <SQL_QUERY>SELECT T1.treatment_type_description FROM Treatment_types AS T1 JOIN Treatments AS T2 ON T1.treatment_type_code  =  T2.treatment_type_code GROUP BY T1.treatment_type_code ORDER BY sum(cost_of_treatment) ASC LIMIT 1</SQL_QUERY>

Question: SELECT T1.treatment_type_description FROM Treatment_types AS T1 JOIN Treatments AS T2 ON T1.treatment_type_code  =  T2.treatment_type_code GROUP BY T1.treatment_type_code ORDER BY sum(cost_of_treatment) ASC LIMIT 1

Question: Give me the description of the treatment type whose total cost is the lowest.


Input:
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)]: | dog_kennels |  Breeds : breed_code (text) , breed_name (text) | Charges : charge_id (text) , charge_type (text) , charge_amount (text) | Sizes : size_code (text) , size_description (text) | Treatment_Types : treatment_type_code (text) , treatment_type_description (text) | Owners : owner_id (text) , first_name (text) , last_name (text) , street (number) , city (text) , state (number) , zip_code (text) , email_address (text) , home_phone (text) , cell_number (text) | Dogs : dog_id (text) , owner_id (text) , abandoned_yn (text) , breed_code (number) , size_code (text) , name (number) , age (text) , date_of_birth (text) , gender (text) , weight (text) , date_arrived (number) , date_adopted (text) , date_departed (text) | Professionals : professional_id (text) , role_code (text) , first_name (text) , street (number) , city (text) , state (number) , zip_code (text) , last_name (text) , email_address (text) , home_phone (text) , cell_number (number) | Treatments : treatment_id (text) , dog_id (text) , professional_id (text) , treatment_type_code (number) , date_of_treatment (text) , cost_of_treatment (number);</schema>"
<primary_keys>[Primary Keys]: breeds : breed_code, charges : charge_id, sizes : size_code, treatment_types : treatment_type_code, owners : owner_id, dogs : dog_id, professionals : professional_id, treatments : treatment_id</primary_keys>"
<foreign_keys>[Foreign Keys]: dogs : owner_id = owners : owner_id | dogs : owner_id = owners : owner_id | dogs : size_code = sizes : size_code | dogs : breed_code = breeds : breed_code | treatments : dog_id = dogs : dog_id | treatments : professional_id = professionals : professional_id | treatments : treatment_type_code = treatment_types : treatment_type_code</foreign_keys>"
Answer the following question with a SQL Statement:<question>Which owner has paid the largest amount of money in total for their dogs? Show the owner id and zip code.</question>
[SQL]:

Output: <SQL_QUERY>SELECT T1.owner_id ,  T1.zip_code FROM Owners AS T1 JOIN Dogs AS T2 ON T1.owner_id  =  T2.owner_id JOIN Treatments AS T3 ON T2.dog_id  =  T3.dog_id GROUP BY T1.owner_id ORDER BY sum(T3.cost_of_treatment) DESC LIMIT 1</SQL_QUERY>

Question: SELECT T1.owner_id ,  T1.zip_code FROM Owners AS T1 JOIN Dogs AS T2 ON T1.owner_id  =  T2.owner_id JOIN Treatments AS T3 ON T2.dog_id  =  T3.dog_id GROUP BY T1.owner_id ORDER BY sum(T3.cost_of_treatment) DESC LIMIT 1

Question: Which owner has paid the largest amount of money in total for their dogs? Show the owner id and zip code.


Input:
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)]: | dog_kennels |  Breeds : breed_code (text) , breed_name (text) | Charges : charge_id (text) , charge_type (text) , charge_amount (text) | Sizes : size_code (text) , size_description (text) | Treatment_Types : treatment_type_code (text) , treatment_type_description (text) | Owners : owner_id (text) , first_name (text) , last_name (text) , street (number) , city (text) , state (number) , zip_code (text) , email_address (text) , home_phone (text) , cell_number (text) | Dogs : dog_id (text) , owner_id (text) , abandoned_yn (text) , breed_code (number) , size_code (text) , name (number) , age (text) , date_of_birth (text) , gender (text) , weight (text) , date_arrived (number) , date_adopted (text) , date_departed (text) | Professionals : professional_id (text) , role_code (text) , first_name (text) , street (number) , city (text) , state (number) , zip_code (text) , last_name (text) , email_address (text) , home_phone (text) , cell_number (number) | Treatments : treatment_id (text) , dog_id (text) , professional_id (text) , treatment_type_code (number) , date_of_treatment (text) , cost_of_treatment (number);</schema>"
<primary_keys>[Primary Keys]: breeds : breed_code, charges : charge_id, sizes : size_code, treatment_types : treatment_type_code, owners : owner_id, dogs : dog_id, professionals : professional_id, treatments : treatment_id</primary_keys>"
<foreign_keys>[Foreign Keys]: dogs : owner_id = owners : owner_id | dogs : owner_id = owners : owner_id | dogs : size_code = sizes : size_code | dogs : breed_code = breeds : breed_code | treatments : dog_id = dogs : dog_id | treatments : professional_id = professionals : professional_id | treatments : treatment_type_code = treatment_types : treatment_type_code</foreign_keys>"
Answer the following question with a SQL Statement:<question>Find the owner id and zip code of the owner who spent the most money in total for his or her dogs.</question>
[SQL]:

Output: <SQL_QUERY>SELECT T1.owner_id ,  T1.zip_code FROM Owners AS T1 JOIN Dogs AS T2 ON T1.owner_id  =  T2.owner_id JOIN Treatments AS T3 ON T2.dog_id  =  T3.dog_id GROUP BY T1.owner_id ORDER BY sum(T3.cost_of_treatment) DESC LIMIT 1</SQL_QUERY>

Question: SELECT T1.owner_id ,  T1.zip_code FROM Owners AS T1 JOIN Dogs AS T2 ON T1.owner_id  =  T2.owner_id JOIN Treatments AS T3 ON T2.dog_id  =  T3.dog_id GROUP BY T1.owner_id ORDER BY sum(T3.cost_of_treatment) DESC LIMIT 1

Question: Find the owner id and zip code of the owner who spent the most money in total for his or her dogs.


Input:
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)]: | dog_kennels |  Breeds : breed_code (text) , breed_name (text) | Charges : charge_id (text) , charge_type (text) , charge_amount (text) | Sizes : size_code (text) , size_description (text) | Treatment_Types : treatment_type_code (text) , treatment_type_description (text) | Owners : owner_id (text) , first_name (text) , last_name (text) , street (number) , city (text) , state (number) , zip_code (text) , email_address (text) , home_phone (text) , cell_number (text) | Dogs : dog_id (text) , owner_id (text) , abandoned_yn (text) , breed_code (number) , size_code (text) , name (number) , age (text) , date_of_birth (text) , gender (text) , weight (text) , date_arrived (number) , date_adopted (text) , date_departed (text) | Professionals : professional_id (text) , role_code (text) , first_name (text) , street (number) , city (text) , state (number) , zip_code (text) , last_name (text) , email_address (text) , home_phone (text) , cell_number (number) | Treatments : treatment_id (text) , dog_id (text) , professional_id (text) , treatment_type_code (number) , date_of_treatment (text) , cost_of_treatment (number);</schema>"
<primary_keys>[Primary Keys]: breeds : breed_code, charges : charge_id, sizes : size_code, treatment_types : treatment_type_code, owners : owner_id, dogs : dog_id, professionals : professional_id, treatments : treatment_id</primary_keys>"
<foreign_keys>[Foreign Keys]: dogs : owner_id = owners : owner_id | dogs : owner_id = owners : owner_id | dogs : size_code = sizes : size_code | dogs : breed_code = breeds : breed_code | treatments : dog_id = dogs : dog_id | treatments : professional_id = professionals : professional_id | treatments : treatment_type_code = treatment_types : treatment_type_code</foreign_keys>"
Answer the following question with a SQL Statement:<question>Which professionals have done at least two types of treatments? List the professional id and cell phone.</question>
[SQL]:

Output: <SQL_QUERY>SELECT T1.professional_id ,  T1.cell_number FROM Professionals AS T1 JOIN Treatments AS T2 ON T1.professional_id  =  T2.professional_id GROUP BY T1.professional_id HAVING count(*)  >=  2</SQL_QUERY>

Question: SELECT T1.professional_id ,  T1.cell_number FROM Professionals AS T1 JOIN Treatments AS T2 ON T1.professional_id  =  T2.professional_id GROUP BY T1.professional_id HAVING count(*)  >=  2

Question: Which professionals have done at least two types of treatments? List the professional id and cell phone.


Input:
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)]: | dog_kennels |  Breeds : breed_code (text) , breed_name (text) | Charges : charge_id (text) , charge_type (text) , charge_amount (text) | Sizes : size_code (text) , size_description (text) | Treatment_Types : treatment_type_code (text) , treatment_type_description (text) | Owners : owner_id (text) , first_name (text) , last_name (text) , street (number) , city (text) , state (number) , zip_code (text) , email_address (text) , home_phone (text) , cell_number (text) | Dogs : dog_id (text) , owner_id (text) , abandoned_yn (text) , breed_code (number) , size_code (text) , name (number) , age (text) , date_of_birth (text) , gender (text) , weight (text) , date_arrived (number) , date_adopted (text) , date_departed (text) | Professionals : professional_id (text) , role_code (text) , first_name (text) , street (number) , city (text) , state (number) , zip_code (text) , last_name (text) , email_address (text) , home_phone (text) , cell_number (number) | Treatments : treatment_id (text) , dog_id (text) , professional_id (text) , treatment_type_code (number) , date_of_treatment (text) , cost_of_treatment (number);</schema>"
<primary_keys>[Primary Keys]: breeds : breed_code, charges : charge_id, sizes : size_code, treatment_types : treatment_type_code, owners : owner_id, dogs : dog_id, professionals : professional_id, treatments : treatment_id</primary_keys>"
<foreign_keys>[Foreign Keys]: dogs : owner_id = owners : owner_id | dogs : owner_id = owners : owner_id | dogs : size_code = sizes : size_code | dogs : breed_code = breeds : breed_code | treatments : dog_id = dogs : dog_id | treatments : professional_id = professionals : professional_id | treatments : treatment_type_code = treatment_types : treatment_type_code</foreign_keys>"
Answer the following question with a SQL Statement:<question>Find the id and cell phone of the professionals who operate two or more types of treatments.</question>
[SQL]:

Output: <SQL_QUERY>SELECT T1.professional_id ,  T1.cell_number FROM Professionals AS T1 JOIN Treatments AS T2 ON T1.professional_id  =  T2.professional_id GROUP BY T1.professional_id HAVING count(*)  >=  2</SQL_QUERY>

Question: SELECT T1.professional_id ,  T1.cell_number FROM Professionals AS T1 JOIN Treatments AS T2 ON T1.professional_id  =  T2.professional_id GROUP BY T1.professional_id HAVING count(*)  >=  2

Question: Find the id and cell phone of the professionals who operate two or more types of treatments.


Input:
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)]: | dog_kennels |  Breeds : breed_code (text) , breed_name (text) | Charges : charge_id (text) , charge_type (text) , charge_amount (text) | Sizes : size_code (text) , size_description (text) | Treatment_Types : treatment_type_code (text) , treatment_type_description (text) | Owners : owner_id (text) , first_name (text) , last_name (text) , street (number) , city (text) , state (number) , zip_code (text) , email_address (text) , home_phone (text) , cell_number (text) | Dogs : dog_id (text) , owner_id (text) , abandoned_yn (text) , breed_code (number) , size_code (text) , name (number) , age (text) , date_of_birth (text) , gender (text) , weight (text) , date_arrived (number) , date_adopted (text) , date_departed (text) | Professionals : professional_id (text) , role_code (text) , first_name (text) , street (number) , city (text) , state (number) , zip_code (text) , last_name (text) , email_address (text) , home_phone (text) , cell_number (number) | Treatments : treatment_id (text) , dog_id (text) , professional_id (text) , treatment_type_code (number) , date_of_treatment (text) , cost_of_treatment (number);</schema>"
<primary_keys>[Primary Keys]: breeds : breed_code, charges : charge_id, sizes : size_code, treatment_types : treatment_type_code, owners : owner_id, dogs : dog_id, professionals : professional_id, treatments : treatment_id</primary_keys>"
<foreign_keys>[Foreign Keys]: dogs : owner_id = owners : owner_id | dogs : owner_id = owners : owner_id | dogs : size_code = sizes : size_code | dogs : breed_code = breeds : breed_code | treatments : dog_id = dogs : dog_id | treatments : professional_id = professionals : professional_id | treatments : treatment_type_code = treatment_types : treatment_type_code</foreign_keys>"
Answer the following question with a SQL Statement:<question>What are the first name and last name of the professionals who have done treatment with cost below average?</question>
[SQL]:

Output: <SQL_QUERY>SELECT DISTINCT T1.first_name ,  T1.last_name FROM Professionals AS T1 JOIN Treatments AS T2 WHERE cost_of_treatment  <  ( SELECT avg(cost_of_treatment) FROM Treatments )</SQL_QUERY>

Question: SELECT DISTINCT T1.first_name ,  T1.last_name FROM Professionals AS T1 JOIN Treatments AS T2 WHERE cost_of_treatment  <  ( SELECT avg(cost_of_treatment) FROM Treatments )

Question: What are the first name and last name of the professionals who have done treatment with cost below average?


Input:
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)]: | dog_kennels |  Breeds : breed_code (text) , breed_name (text) | Charges : charge_id (text) , charge_type (text) , charge_amount (text) | Sizes : size_code (text) , size_description (text) | Treatment_Types : treatment_type_code (text) , treatment_type_description (text) | Owners : owner_id (text) , first_name (text) , last_name (text) , street (number) , city (text) , state (number) , zip_code (text) , email_address (text) , home_phone (text) , cell_number (text) | Dogs : dog_id (text) , owner_id (text) , abandoned_yn (text) , breed_code (number) , size_code (text) , name (number) , age (text) , date_of_birth (text) , gender (text) , weight (text) , date_arrived (number) , date_adopted (text) , date_departed (text) | Professionals : professional_id (text) , role_code (text) , first_name (text) , street (number) , city (text) , state (number) , zip_code (text) , last_name (text) , email_address (text) , home_phone (text) , cell_number (number) | Treatments : treatment_id (text) , dog_id (text) , professional_id (text) , treatment_type_code (number) , date_of_treatment (text) , cost_of_treatment (number);</schema>"
<primary_keys>[Primary Keys]: breeds : breed_code, charges : charge_id, sizes : size_code, treatment_types : treatment_type_code, owners : owner_id, dogs : dog_id, professionals : professional_id, treatments : treatment_id</primary_keys>"
<foreign_keys>[Foreign Keys]: dogs : owner_id = owners : owner_id | dogs : owner_id = owners : owner_id | dogs : size_code = sizes : size_code | dogs : breed_code = breeds : breed_code | treatments : dog_id = dogs : dog_id | treatments : professional_id = professionals : professional_id | treatments : treatment_type_code = treatment_types : treatment_type_code</foreign_keys>"
Answer the following question with a SQL Statement:<question>Which professionals have operated a treatment that costs less than the average? Give me theor first names and last names.</question>
[SQL]:

Output: <SQL_QUERY>SELECT DISTINCT T1.first_name ,  T1.last_name FROM Professionals AS T1 JOIN Treatments AS T2 WHERE cost_of_treatment  <  ( SELECT avg(cost_of_treatment) FROM Treatments )</SQL_QUERY>

Question: SELECT DISTINCT T1.first_name ,  T1.last_name FROM Professionals AS T1 JOIN Treatments AS T2 WHERE cost_of_treatment  <  ( SELECT avg(cost_of_treatment) FROM Treatments )

Question: Which professionals have operated a treatment that costs less than the average? Give me theor first names and last names.


Input:
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)]: | dog_kennels |  Breeds : breed_code (text) , breed_name (text) | Charges : charge_id (text) , charge_type (text) , charge_amount (text) | Sizes : size_code (text) , size_description (text) | Treatment_Types : treatment_type_code (text) , treatment_type_description (text) | Owners : owner_id (text) , first_name (text) , last_name (text) , street (number) , city (text) , state (number) , zip_code (text) , email_address (text) , home_phone (text) , cell_number (text) | Dogs : dog_id (text) , owner_id (text) , abandoned_yn (text) , breed_code (number) , size_code (text) , name (number) , age (text) , date_of_birth (text) , gender (text) , weight (text) , date_arrived (number) , date_adopted (text) , date_departed (text) | Professionals : professional_id (text) , role_code (text) , first_name (text) , street (number) , city (text) , state (number) , zip_code (text) , last_name (text) , email_address (text) , home_phone (text) , cell_number (number) | Treatments : treatment_id (text) , dog_id (text) , professional_id (text) , treatment_type_code (number) , date_of_treatment (text) , cost_of_treatment (number);</schema>"
<primary_keys>[Primary Keys]: breeds : breed_code, charges : charge_id, sizes : size_code, treatment_types : treatment_type_code, owners : owner_id, dogs : dog_id, professionals : professional_id, treatments : treatment_id</primary_keys>"
<foreign_keys>[Foreign Keys]: dogs : owner_id = owners : owner_id | dogs : owner_id = owners : owner_id | dogs : size_code = sizes : size_code | dogs : breed_code = breeds : breed_code | treatments : dog_id = dogs : dog_id | treatments : professional_id = professionals : professional_id | treatments : treatment_type_code = treatment_types : treatment_type_code</foreign_keys>"
Answer the following question with a SQL Statement:<question>List the date of each treatment, together with the first name of the professional who operated it.</question>
[SQL]:

Output: <SQL_QUERY>SELECT T1.date_of_treatment ,  T2.first_name FROM Treatments AS T1 JOIN Professionals AS T2 ON T1.professional_id  =  T2.professional_id</SQL_QUERY>

Question: SELECT T1.date_of_treatment ,  T2.first_name FROM Treatments AS T1 JOIN Professionals AS T2 ON T1.professional_id  =  T2.professional_id

Question: List the date of each treatment, together with the first name of the professional who operated it.


Input:
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)]: | dog_kennels |  Breeds : breed_code (text) , breed_name (text) | Charges : charge_id (text) , charge_type (text) , charge_amount (text) | Sizes : size_code (text) , size_description (text) | Treatment_Types : treatment_type_code (text) , treatment_type_description (text) | Owners : owner_id (text) , first_name (text) , last_name (text) , street (number) , city (text) , state (number) , zip_code (text) , email_address (text) , home_phone (text) , cell_number (text) | Dogs : dog_id (text) , owner_id (text) , abandoned_yn (text) , breed_code (number) , size_code (text) , name (number) , age (text) , date_of_birth (text) , gender (text) , weight (text) , date_arrived (number) , date_adopted (text) , date_departed (text) | Professionals : professional_id (text) , role_code (text) , first_name (text) , street (number) , city (text) , state (number) , zip_code (text) , last_name (text) , email_address (text) , home_phone (text) , cell_number (number) | Treatments : treatment_id (text) , dog_id (text) , professional_id (text) , treatment_type_code (number) , date_of_treatment (text) , cost_of_treatment (number);</schema>"
<primary_keys>[Primary Keys]: breeds : breed_code, charges : charge_id, sizes : size_code, treatment_types : treatment_type_code, owners : owner_id, dogs : dog_id, professionals : professional_id, treatments : treatment_id</primary_keys>"
<foreign_keys>[Foreign Keys]: dogs : owner_id = owners : owner_id | dogs : owner_id = owners : owner_id | dogs : size_code = sizes : size_code | dogs : breed_code = breeds : breed_code | treatments : dog_id = dogs : dog_id | treatments : professional_id = professionals : professional_id | treatments : treatment_type_code = treatment_types : treatment_type_code</foreign_keys>"
Answer the following question with a SQL Statement:<question>What are the date and the operating professional's first name of each treatment?</question>
[SQL]:

Output: <SQL_QUERY>SELECT T1.date_of_treatment ,  T2.first_name FROM Treatments AS T1 JOIN Professionals AS T2 ON T1.professional_id  =  T2.professional_id</SQL_QUERY>

Question: SELECT T1.date_of_treatment ,  T2.first_name FROM Treatments AS T1 JOIN Professionals AS T2 ON T1.professional_id  =  T2.professional_id

Question: What are the date and the operating professional's first name of each treatment?


Input:
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)]: | dog_kennels |  Breeds : breed_code (text) , breed_name (text) | Charges : charge_id (text) , charge_type (text) , charge_amount (text) | Sizes : size_code (text) , size_description (text) | Treatment_Types : treatment_type_code (text) , treatment_type_description (text) | Owners : owner_id (text) , first_name (text) , last_name (text) , street (number) , city (text) , state (number) , zip_code (text) , email_address (text) , home_phone (text) , cell_number (text) | Dogs : dog_id (text) , owner_id (text) , abandoned_yn (text) , breed_code (number) , size_code (text) , name (number) , age (text) , date_of_birth (text) , gender (text) , weight (text) , date_arrived (number) , date_adopted (text) , date_departed (text) | Professionals : professional_id (text) , role_code (text) , first_name (text) , street (number) , city (text) , state (number) , zip_code (text) , last_name (text) , email_address (text) , home_phone (text) , cell_number (number) | Treatments : treatment_id (text) , dog_id (text) , professional_id (text) , treatment_type_code (number) , date_of_treatment (text) , cost_of_treatment (number);</schema>"
<primary_keys>[Primary Keys]: breeds : breed_code, charges : charge_id, sizes : size_code, treatment_types : treatment_type_code, owners : owner_id, dogs : dog_id, professionals : professional_id, treatments : treatment_id</primary_keys>"
<foreign_keys>[Foreign Keys]: dogs : owner_id = owners : owner_id | dogs : owner_id = owners : owner_id | dogs : size_code = sizes : size_code | dogs : breed_code = breeds : breed_code | treatments : dog_id = dogs : dog_id | treatments : professional_id = professionals : professional_id | treatments : treatment_type_code = treatment_types : treatment_type_code</foreign_keys>"
Answer the following question with a SQL Statement:<question>List the cost of each treatment and the corresponding treatment type description.</question>
[SQL]:

Output: <SQL_QUERY>SELECT T1.cost_of_treatment ,  T2.treatment_type_description FROM Treatments AS T1 JOIN treatment_types AS T2 ON T1.treatment_type_code  =  T2.treatment_type_code</SQL_QUERY>

Question: SELECT T1.cost_of_treatment ,  T2.treatment_type_description FROM Treatments AS T1 JOIN treatment_types AS T2 ON T1.treatment_type_code  =  T2.treatment_type_code

Question: List the cost of each treatment and the corresponding treatment type description.


Input:
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)]: | dog_kennels |  Breeds : breed_code (text) , breed_name (text) | Charges : charge_id (text) , charge_type (text) , charge_amount (text) | Sizes : size_code (text) , size_description (text) | Treatment_Types : treatment_type_code (text) , treatment_type_description (text) | Owners : owner_id (text) , first_name (text) , last_name (text) , street (number) , city (text) , state (number) , zip_code (text) , email_address (text) , home_phone (text) , cell_number (text) | Dogs : dog_id (text) , owner_id (text) , abandoned_yn (text) , breed_code (number) , size_code (text) , name (number) , age (text) , date_of_birth (text) , gender (text) , weight (text) , date_arrived (number) , date_adopted (text) , date_departed (text) | Professionals : professional_id (text) , role_code (text) , first_name (text) , street (number) , city (text) , state (number) , zip_code (text) , last_name (text) , email_address (text) , home_phone (text) , cell_number (number) | Treatments : treatment_id (text) , dog_id (text) , professional_id (text) , treatment_type_code (number) , date_of_treatment (text) , cost_of_treatment (number);</schema>"
<primary_keys>[Primary Keys]: breeds : breed_code, charges : charge_id, sizes : size_code, treatment_types : treatment_type_code, owners : owner_id, dogs : dog_id, professionals : professional_id, treatments : treatment_id</primary_keys>"
<foreign_keys>[Foreign Keys]: dogs : owner_id = owners : owner_id | dogs : owner_id = owners : owner_id | dogs : size_code = sizes : size_code | dogs : breed_code = breeds : breed_code | treatments : dog_id = dogs : dog_id | treatments : professional_id = professionals : professional_id | treatments : treatment_type_code = treatment_types : treatment_type_code</foreign_keys>"
Answer the following question with a SQL Statement:<question>What are the cost and treatment type description of each treatment?</question>
[SQL]:

Output: <SQL_QUERY>SELECT T1.cost_of_treatment ,  T2.treatment_type_description FROM Treatments AS T1 JOIN treatment_types AS T2 ON T1.treatment_type_code  =  T2.treatment_type_code</SQL_QUERY>

Question: SELECT T1.cost_of_treatment ,  T2.treatment_type_description FROM Treatments AS T1 JOIN treatment_types AS T2 ON T1.treatment_type_code  =  T2.treatment_type_code

Question: What are the cost and treatment type description of each treatment?


Input:
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)]: | dog_kennels |  Breeds : breed_code (text) , breed_name (text) | Charges : charge_id (text) , charge_type (text) , charge_amount (text) | Sizes : size_code (text) , size_description (text) | Treatment_Types : treatment_type_code (text) , treatment_type_description (text) | Owners : owner_id (text) , first_name (text) , last_name (text) , street (number) , city (text) , state (number) , zip_code (text) , email_address (text) , home_phone (text) , cell_number (text) | Dogs : dog_id (text) , owner_id (text) , abandoned_yn (text) , breed_code (number) , size_code (text) , name (number) , age (text) , date_of_birth (text) , gender (text) , weight (text) , date_arrived (number) , date_adopted (text) , date_departed (text) | Professionals : professional_id (text) , role_code (text) , first_name (text) , street (number) , city (text) , state (number) , zip_code (text) , last_name (text) , email_address (text) , home_phone (text) , cell_number (number) | Treatments : treatment_id (text) , dog_id (text) , professional_id (text) , treatment_type_code (number) , date_of_treatment (text) , cost_of_treatment (number);</schema>"
<primary_keys>[Primary Keys]: breeds : breed_code, charges : charge_id, sizes : size_code, treatment_types : treatment_type_code, owners : owner_id, dogs : dog_id, professionals : professional_id, treatments : treatment_id</primary_keys>"
<foreign_keys>[Foreign Keys]: dogs : owner_id = owners : owner_id | dogs : owner_id = owners : owner_id | dogs : size_code = sizes : size_code | dogs : breed_code = breeds : breed_code | treatments : dog_id = dogs : dog_id | treatments : professional_id = professionals : professional_id | treatments : treatment_type_code = treatment_types : treatment_type_code</foreign_keys>"
Answer the following question with a SQL Statement:<question>List each owner's first name, last name, and the size of his for her dog.</question>
[SQL]:

Output: <SQL_QUERY>SELECT T1.first_name ,  T1.last_name ,  T2.size_code FROM Owners AS T1 JOIN Dogs AS T2 ON T1.owner_id  =  T2.owner_id</SQL_QUERY>

Question: SELECT T1.first_name ,  T1.last_name ,  T2.size_code FROM Owners AS T1 JOIN Dogs AS T2 ON T1.owner_id  =  T2.owner_id

Question: List each owner's first name, last name, and the size of his for her dog.


Input:
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)]: | dog_kennels |  Breeds : breed_code (text) , breed_name (text) | Charges : charge_id (text) , charge_type (text) , charge_amount (text) | Sizes : size_code (text) , size_description (text) | Treatment_Types : treatment_type_code (text) , treatment_type_description (text) | Owners : owner_id (text) , first_name (text) , last_name (text) , street (number) , city (text) , state (number) , zip_code (text) , email_address (text) , home_phone (text) , cell_number (text) | Dogs : dog_id (text) , owner_id (text) , abandoned_yn (text) , breed_code (number) , size_code (text) , name (number) , age (text) , date_of_birth (text) , gender (text) , weight (text) , date_arrived (number) , date_adopted (text) , date_departed (text) | Professionals : professional_id (text) , role_code (text) , first_name (text) , street (number) , city (text) , state (number) , zip_code (text) , last_name (text) , email_address (text) , home_phone (text) , cell_number (number) | Treatments : treatment_id (text) , dog_id (text) , professional_id (text) , treatment_type_code (number) , date_of_treatment (text) , cost_of_treatment (number);</schema>"
<primary_keys>[Primary Keys]: breeds : breed_code, charges : charge_id, sizes : size_code, treatment_types : treatment_type_code, owners : owner_id, dogs : dog_id, professionals : professional_id, treatments : treatment_id</primary_keys>"
<foreign_keys>[Foreign Keys]: dogs : owner_id = owners : owner_id | dogs : owner_id = owners : owner_id | dogs : size_code = sizes : size_code | dogs : breed_code = breeds : breed_code | treatments : dog_id = dogs : dog_id | treatments : professional_id = professionals : professional_id | treatments : treatment_type_code = treatment_types : treatment_type_code</foreign_keys>"
Answer the following question with a SQL Statement:<question>What are each owner's first name, last name, and the size of their dog?</question>
[SQL]:

Output: <SQL_QUERY>SELECT T1.first_name ,  T1.last_name ,  T2.size_code FROM Owners AS T1 JOIN Dogs AS T2 ON T1.owner_id  =  T2.owner_id</SQL_QUERY>

Question: SELECT T1.first_name ,  T1.last_name ,  T2.size_code FROM Owners AS T1 JOIN Dogs AS T2 ON T1.owner_id  =  T2.owner_id

Question: What are each owner's first name, last name, and the size of their dog?


Input:
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)]: | dog_kennels |  Breeds : breed_code (text) , breed_name (text) | Charges : charge_id (text) , charge_type (text) , charge_amount (text) | Sizes : size_code (text) , size_description (text) | Treatment_Types : treatment_type_code (text) , treatment_type_description (text) | Owners : owner_id (text) , first_name (text) , last_name (text) , street (number) , city (text) , state (number) , zip_code (text) , email_address (text) , home_phone (text) , cell_number (text) | Dogs : dog_id (text) , owner_id (text) , abandoned_yn (text) , breed_code (number) , size_code (text) , name (number) , age (text) , date_of_birth (text) , gender (text) , weight (text) , date_arrived (number) , date_adopted (text) , date_departed (text) | Professionals : professional_id (text) , role_code (text) , first_name (text) , street (number) , city (text) , state (number) , zip_code (text) , last_name (text) , email_address (text) , home_phone (text) , cell_number (number) | Treatments : treatment_id (text) , dog_id (text) , professional_id (text) , treatment_type_code (number) , date_of_treatment (text) , cost_of_treatment (number);</schema>"
<primary_keys>[Primary Keys]: breeds : breed_code, charges : charge_id, sizes : size_code, treatment_types : treatment_type_code, owners : owner_id, dogs : dog_id, professionals : professional_id, treatments : treatment_id</primary_keys>"
<foreign_keys>[Foreign Keys]: dogs : owner_id = owners : owner_id | dogs : owner_id = owners : owner_id | dogs : size_code = sizes : size_code | dogs : breed_code = breeds : breed_code | treatments : dog_id = dogs : dog_id | treatments : professional_id = professionals : professional_id | treatments : treatment_type_code = treatment_types : treatment_type_code</foreign_keys>"
Answer the following question with a SQL Statement:<question>List pairs of the owner's first name and the dogs's name.</question>
[SQL]:

Output: <SQL_QUERY>SELECT T1.first_name ,  T2.name FROM Owners AS T1 JOIN Dogs AS T2 ON T1.owner_id  =  T2.owner_id</SQL_QUERY>

Question: SELECT T1.first_name ,  T2.name FROM Owners AS T1 JOIN Dogs AS T2 ON T1.owner_id  =  T2.owner_id

Question: List pairs of the owner's first name and the dogs's name.


Input:
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)]: | dog_kennels |  Breeds : breed_code (text) , breed_name (text) | Charges : charge_id (text) , charge_type (text) , charge_amount (text) | Sizes : size_code (text) , size_description (text) | Treatment_Types : treatment_type_code (text) , treatment_type_description (text) | Owners : owner_id (text) , first_name (text) , last_name (text) , street (number) , city (text) , state (number) , zip_code (text) , email_address (text) , home_phone (text) , cell_number (text) | Dogs : dog_id (text) , owner_id (text) , abandoned_yn (text) , breed_code (number) , size_code (text) , name (number) , age (text) , date_of_birth (text) , gender (text) , weight (text) , date_arrived (number) , date_adopted (text) , date_departed (text) | Professionals : professional_id (text) , role_code (text) , first_name (text) , street (number) , city (text) , state (number) , zip_code (text) , last_name (text) , email_address (text) , home_phone (text) , cell_number (number) | Treatments : treatment_id (text) , dog_id (text) , professional_id (text) , treatment_type_code (number) , date_of_treatment (text) , cost_of_treatment (number);</schema>"
<primary_keys>[Primary Keys]: breeds : breed_code, charges : charge_id, sizes : size_code, treatment_types : treatment_type_code, owners : owner_id, dogs : dog_id, professionals : professional_id, treatments : treatment_id</primary_keys>"
<foreign_keys>[Foreign Keys]: dogs : owner_id = owners : owner_id | dogs : owner_id = owners : owner_id | dogs : size_code = sizes : size_code | dogs : breed_code = breeds : breed_code | treatments : dog_id = dogs : dog_id | treatments : professional_id = professionals : professional_id | treatments : treatment_type_code = treatment_types : treatment_type_code</foreign_keys>"
Answer the following question with a SQL Statement:<question>What are each owner's first name and their dogs's name?</question>
[SQL]:

Output: <SQL_QUERY>SELECT T1.first_name ,  T2.name FROM Owners AS T1 JOIN Dogs AS T2 ON T1.owner_id  =  T2.owner_id</SQL_QUERY>

Question: SELECT T1.first_name ,  T2.name FROM Owners AS T1 JOIN Dogs AS T2 ON T1.owner_id  =  T2.owner_id

Question: What are each owner's first name and their dogs's name?


Input:
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)]: | dog_kennels |  Breeds : breed_code (text) , breed_name (text) | Charges : charge_id (text) , charge_type (text) , charge_amount (text) | Sizes : size_code (text) , size_description (text) | Treatment_Types : treatment_type_code (text) , treatment_type_description (text) | Owners : owner_id (text) , first_name (text) , last_name (text) , street (number) , city (text) , state (number) , zip_code (text) , email_address (text) , home_phone (text) , cell_number (text) | Dogs : dog_id (text) , owner_id (text) , abandoned_yn (text) , breed_code (number) , size_code (text) , name (number) , age (text) , date_of_birth (text) , gender (text) , weight (text) , date_arrived (number) , date_adopted (text) , date_departed (text) | Professionals : professional_id (text) , role_code (text) , first_name (text) , street (number) , city (text) , state (number) , zip_code (text) , last_name (text) , email_address (text) , home_phone (text) , cell_number (number) | Treatments : treatment_id (text) , dog_id (text) , professional_id (text) , treatment_type_code (number) , date_of_treatment (text) , cost_of_treatment (number);</schema>"
<primary_keys>[Primary Keys]: breeds : breed_code, charges : charge_id, sizes : size_code, treatment_types : treatment_type_code, owners : owner_id, dogs : dog_id, professionals : professional_id, treatments : treatment_id</primary_keys>"
<foreign_keys>[Foreign Keys]: dogs : owner_id = owners : owner_id | dogs : owner_id = owners : owner_id | dogs : size_code = sizes : size_code | dogs : breed_code = breeds : breed_code | treatments : dog_id = dogs : dog_id | treatments : professional_id = professionals : professional_id | treatments : treatment_type_code = treatment_types : treatment_type_code</foreign_keys>"
Answer the following question with a SQL Statement:<question>List the names of the dogs of the rarest breed and the treatment dates of them.</question>
[SQL]:

Output: <SQL_QUERY>SELECT T1.name ,  T2.date_of_treatment FROM Dogs AS T1 JOIN Treatments AS T2 ON T1.dog_id  =  T2.dog_id WHERE T1.breed_code  =  ( SELECT breed_code FROM Dogs GROUP BY breed_code ORDER BY count(*) ASC LIMIT 1 )</SQL_QUERY>

Question: SELECT T1.name ,  T2.date_of_treatment FROM Dogs AS T1 JOIN Treatments AS T2 ON T1.dog_id  =  T2.dog_id WHERE T1.breed_code  =  ( SELECT breed_code FROM Dogs GROUP BY breed_code ORDER BY count(*) ASC LIMIT 1 )

Question: List the names of the dogs of the rarest breed and the treatment dates of them.


Input:
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)]: | dog_kennels |  Breeds : breed_code (text) , breed_name (text) | Charges : charge_id (text) , charge_type (text) , charge_amount (text) | Sizes : size_code (text) , size_description (text) | Treatment_Types : treatment_type_code (text) , treatment_type_description (text) | Owners : owner_id (text) , first_name (text) , last_name (text) , street (number) , city (text) , state (number) , zip_code (text) , email_address (text) , home_phone (text) , cell_number (text) | Dogs : dog_id (text) , owner_id (text) , abandoned_yn (text) , breed_code (number) , size_code (text) , name (number) , age (text) , date_of_birth (text) , gender (text) , weight (text) , date_arrived (number) , date_adopted (text) , date_departed (text) | Professionals : professional_id (text) , role_code (text) , first_name (text) , street (number) , city (text) , state (number) , zip_code (text) , last_name (text) , email_address (text) , home_phone (text) , cell_number (number) | Treatments : treatment_id (text) , dog_id (text) , professional_id (text) , treatment_type_code (number) , date_of_treatment (text) , cost_of_treatment (number);</schema>"
<primary_keys>[Primary Keys]: breeds : breed_code, charges : charge_id, sizes : size_code, treatment_types : treatment_type_code, owners : owner_id, dogs : dog_id, professionals : professional_id, treatments : treatment_id</primary_keys>"
<foreign_keys>[Foreign Keys]: dogs : owner_id = owners : owner_id | dogs : owner_id = owners : owner_id | dogs : size_code = sizes : size_code | dogs : breed_code = breeds : breed_code | treatments : dog_id = dogs : dog_id | treatments : professional_id = professionals : professional_id | treatments : treatment_type_code = treatment_types : treatment_type_code</foreign_keys>"
Answer the following question with a SQL Statement:<question>Which dogs are of the rarest breed? Show their names and treatment dates.</question>
[SQL]:

Output: <SQL_QUERY>SELECT T1.name ,  T2.date_of_treatment FROM Dogs AS T1 JOIN Treatments AS T2 ON T1.dog_id  =  T2.dog_id WHERE T1.breed_code  =  ( SELECT breed_code FROM Dogs GROUP BY breed_code ORDER BY count(*) ASC LIMIT 1 )</SQL_QUERY>

Question: SELECT T1.name ,  T2.date_of_treatment FROM Dogs AS T1 JOIN Treatments AS T2 ON T1.dog_id  =  T2.dog_id WHERE T1.breed_code  =  ( SELECT breed_code FROM Dogs GROUP BY breed_code ORDER BY count(*) ASC LIMIT 1 )

Question: Which dogs are of the rarest breed? Show their names and treatment dates.


Input:
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)]: | dog_kennels |  Breeds : breed_code (text) , breed_name (text) | Charges : charge_id (text) , charge_type (text) , charge_amount (text) | Sizes : size_code (text) , size_description (text) | Treatment_Types : treatment_type_code (text) , treatment_type_description (text) | Owners : owner_id (text) , first_name (text) , last_name (text) , street (number) , city (text) , state (number) , zip_code (text) , email_address (text) , home_phone (text) , cell_number (text) | Dogs : dog_id (text) , owner_id (text) , abandoned_yn (text) , breed_code (number) , size_code (text) , name (number) , age (text) , date_of_birth (text) , gender (text) , weight (text) , date_arrived (number) , date_adopted (text) , date_departed (text) | Professionals : professional_id (text) , role_code (text) , first_name (text) , street (number) , city (text) , state (number) , zip_code (text) , last_name (text) , email_address (text) , home_phone (text) , cell_number (number) | Treatments : treatment_id (text) , dog_id (text) , professional_id (text) , treatment_type_code (number) , date_of_treatment (text) , cost_of_treatment (number);</schema>"
<primary_keys>[Primary Keys]: breeds : breed_code, charges : charge_id, sizes : size_code, treatment_types : treatment_type_code, owners : owner_id, dogs : dog_id, professionals : professional_id, treatments : treatment_id</primary_keys>"
<foreign_keys>[Foreign Keys]: dogs : owner_id = owners : owner_id | dogs : owner_id = owners : owner_id | dogs : size_code = sizes : size_code | dogs : breed_code = breeds : breed_code | treatments : dog_id = dogs : dog_id | treatments : professional_id = professionals : professional_id | treatments : treatment_type_code = treatment_types : treatment_type_code</foreign_keys>"
Answer the following question with a SQL Statement:<question>Which dogs are owned by someone who lives in Virginia? List the owner's first name and the dog's name.</question>
[SQL]:

Output: <SQL_QUERY>SELECT T1.first_name ,  T2.name FROM Owners AS T1 JOIN Dogs AS T2 ON T1.owner_id  =  T2.owner_id WHERE T1.state  =  'Virginia'</SQL_QUERY>

Question: SELECT T1.first_name ,  T2.name FROM Owners AS T1 JOIN Dogs AS T2 ON T1.owner_id  =  T2.owner_id WHERE T1.state  =  'Virginia'

Question: Which dogs are owned by someone who lives in Virginia? List the owner's first name and the dog's name.


Input:
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)]: | dog_kennels |  Breeds : breed_code (text) , breed_name (text) | Charges : charge_id (text) , charge_type (text) , charge_amount (text) | Sizes : size_code (text) , size_description (text) | Treatment_Types : treatment_type_code (text) , treatment_type_description (text) | Owners : owner_id (text) , first_name (text) , last_name (text) , street (number) , city (text) , state (number) , zip_code (text) , email_address (text) , home_phone (text) , cell_number (text) | Dogs : dog_id (text) , owner_id (text) , abandoned_yn (text) , breed_code (number) , size_code (text) , name (number) , age (text) , date_of_birth (text) , gender (text) , weight (text) , date_arrived (number) , date_adopted (text) , date_departed (text) | Professionals : professional_id (text) , role_code (text) , first_name (text) , street (number) , city (text) , state (number) , zip_code (text) , last_name (text) , email_address (text) , home_phone (text) , cell_number (number) | Treatments : treatment_id (text) , dog_id (text) , professional_id (text) , treatment_type_code (number) , date_of_treatment (text) , cost_of_treatment (number);</schema>"
<primary_keys>[Primary Keys]: breeds : breed_code, charges : charge_id, sizes : size_code, treatment_types : treatment_type_code, owners : owner_id, dogs : dog_id, professionals : professional_id, treatments : treatment_id</primary_keys>"
<foreign_keys>[Foreign Keys]: dogs : owner_id = owners : owner_id | dogs : owner_id = owners : owner_id | dogs : size_code = sizes : size_code | dogs : breed_code = breeds : breed_code | treatments : dog_id = dogs : dog_id | treatments : professional_id = professionals : professional_id | treatments : treatment_type_code = treatment_types : treatment_type_code</foreign_keys>"
Answer the following question with a SQL Statement:<question>Find the first names of owners living in Virginia and the names of dogs they own.</question>
[SQL]:

Output: <SQL_QUERY>SELECT T1.first_name ,  T2.name FROM Owners AS T1 JOIN Dogs AS T2 ON T1.owner_id  =  T2.owner_id WHERE T1.state  =  'Virginia'</SQL_QUERY>

Question: SELECT T1.first_name ,  T2.name FROM Owners AS T1 JOIN Dogs AS T2 ON T1.owner_id  =  T2.owner_id WHERE T1.state  =  'Virginia'

Question: Find the first names of owners living in Virginia and the names of dogs they own.


Input:
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)]: | dog_kennels |  Breeds : breed_code (text) , breed_name (text) | Charges : charge_id (text) , charge_type (text) , charge_amount (text) | Sizes : size_code (text) , size_description (text) | Treatment_Types : treatment_type_code (text) , treatment_type_description (text) | Owners : owner_id (text) , first_name (text) , last_name (text) , street (number) , city (text) , state (number) , zip_code (text) , email_address (text) , home_phone (text) , cell_number (text) | Dogs : dog_id (text) , owner_id (text) , abandoned_yn (text) , breed_code (number) , size_code (text) , name (number) , age (text) , date_of_birth (text) , gender (text) , weight (text) , date_arrived (number) , date_adopted (text) , date_departed (text) | Professionals : professional_id (text) , role_code (text) , first_name (text) , street (number) , city (text) , state (number) , zip_code (text) , last_name (text) , email_address (text) , home_phone (text) , cell_number (number) | Treatments : treatment_id (text) , dog_id (text) , professional_id (text) , treatment_type_code (number) , date_of_treatment (text) , cost_of_treatment (number);</schema>"
<primary_keys>[Primary Keys]: breeds : breed_code, charges : charge_id, sizes : size_code, treatment_types : treatment_type_code, owners : owner_id, dogs : dog_id, professionals : professional_id, treatments : treatment_id</primary_keys>"
<foreign_keys>[Foreign Keys]: dogs : owner_id = owners : owner_id | dogs : owner_id = owners : owner_id | dogs : size_code = sizes : size_code | dogs : breed_code = breeds : breed_code | treatments : dog_id = dogs : dog_id | treatments : professional_id = professionals : professional_id | treatments : treatment_type_code = treatment_types : treatment_type_code</foreign_keys>"
Answer the following question with a SQL Statement:<question>What are the arriving date and the departing date of the dogs who have gone through a treatment?</question>
[SQL]:

Output: <SQL_QUERY>SELECT DISTINCT T1.date_arrived ,  T1.date_departed FROM Dogs AS T1 JOIN Treatments AS T2 ON T1.dog_id  =  T2.dog_id</SQL_QUERY>

Question: SELECT DISTINCT T1.date_arrived ,  T1.date_departed FROM Dogs AS T1 JOIN Treatments AS T2 ON T1.dog_id  =  T2.dog_id

Question: What are the arriving date and the departing date of the dogs who have gone through a treatment?


Input:
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)]: | dog_kennels |  Breeds : breed_code (text) , breed_name (text) | Charges : charge_id (text) , charge_type (text) , charge_amount (text) | Sizes : size_code (text) , size_description (text) | Treatment_Types : treatment_type_code (text) , treatment_type_description (text) | Owners : owner_id (text) , first_name (text) , last_name (text) , street (number) , city (text) , state (number) , zip_code (text) , email_address (text) , home_phone (text) , cell_number (text) | Dogs : dog_id (text) , owner_id (text) , abandoned_yn (text) , breed_code (number) , size_code (text) , name (number) , age (text) , date_of_birth (text) , gender (text) , weight (text) , date_arrived (number) , date_adopted (text) , date_departed (text) | Professionals : professional_id (text) , role_code (text) , first_name (text) , street (number) , city (text) , state (number) , zip_code (text) , last_name (text) , email_address (text) , home_phone (text) , cell_number (number) | Treatments : treatment_id (text) , dog_id (text) , professional_id (text) , treatment_type_code (number) , date_of_treatment (text) , cost_of_treatment (number);</schema>"
<primary_keys>[Primary Keys]: breeds : breed_code, charges : charge_id, sizes : size_code, treatment_types : treatment_type_code, owners : owner_id, dogs : dog_id, professionals : professional_id, treatments : treatment_id</primary_keys>"
<foreign_keys>[Foreign Keys]: dogs : owner_id = owners : owner_id | dogs : owner_id = owners : owner_id | dogs : size_code = sizes : size_code | dogs : breed_code = breeds : breed_code | treatments : dog_id = dogs : dog_id | treatments : professional_id = professionals : professional_id | treatments : treatment_type_code = treatment_types : treatment_type_code</foreign_keys>"
Answer the following question with a SQL Statement:<question>Find the arriving date and the departing date of the dogs that received a treatment.</question>
[SQL]:

Output: <SQL_QUERY>SELECT DISTINCT T1.date_arrived ,  T1.date_departed FROM Dogs AS T1 JOIN Treatments AS T2 ON T1.dog_id  =  T2.dog_id</SQL_QUERY>

Question: SELECT DISTINCT T1.date_arrived ,  T1.date_departed FROM Dogs AS T1 JOIN Treatments AS T2 ON T1.dog_id  =  T2.dog_id

Question: Find the arriving date and the departing date of the dogs that received a treatment.


Input:
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)]: | dog_kennels |  Breeds : breed_code (text) , breed_name (text) | Charges : charge_id (text) , charge_type (text) , charge_amount (text) | Sizes : size_code (text) , size_description (text) | Treatment_Types : treatment_type_code (text) , treatment_type_description (text) | Owners : owner_id (text) , first_name (text) , last_name (text) , street (number) , city (text) , state (number) , zip_code (text) , email_address (text) , home_phone (text) , cell_number (text) | Dogs : dog_id (text) , owner_id (text) , abandoned_yn (text) , breed_code (number) , size_code (text) , name (number) , age (text) , date_of_birth (text) , gender (text) , weight (text) , date_arrived (number) , date_adopted (text) , date_departed (text) | Professionals : professional_id (text) , role_code (text) , first_name (text) , street (number) , city (text) , state (number) , zip_code (text) , last_name (text) , email_address (text) , home_phone (text) , cell_number (number) | Treatments : treatment_id (text) , dog_id (text) , professional_id (text) , treatment_type_code (number) , date_of_treatment (text) , cost_of_treatment (number);</schema>"
<primary_keys>[Primary Keys]: breeds : breed_code, charges : charge_id, sizes : size_code, treatment_types : treatment_type_code, owners : owner_id, dogs : dog_id, professionals : professional_id, treatments : treatment_id</primary_keys>"
<foreign_keys>[Foreign Keys]: dogs : owner_id = owners : owner_id | dogs : owner_id = owners : owner_id | dogs : size_code = sizes : size_code | dogs : breed_code = breeds : breed_code | treatments : dog_id = dogs : dog_id | treatments : professional_id = professionals : professional_id | treatments : treatment_type_code = treatment_types : treatment_type_code</foreign_keys>"
Answer the following question with a SQL Statement:<question>List the last name of the owner owning the youngest dog.</question>
[SQL]:

Output: <SQL_QUERY>SELECT T1.last_name FROM Owners AS T1 JOIN Dogs AS T2 ON T1.owner_id  =  T2.owner_id WHERE T2.age  =  ( SELECT max(age) FROM Dogs )</SQL_QUERY>

Question: SELECT T1.last_name FROM Owners AS T1 JOIN Dogs AS T2 ON T1.owner_id  =  T2.owner_id WHERE T2.age  =  ( SELECT max(age) FROM Dogs )

Question: List the last name of the owner owning the youngest dog.


Input:
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)]: | dog_kennels |  Breeds : breed_code (text) , breed_name (text) | Charges : charge_id (text) , charge_type (text) , charge_amount (text) | Sizes : size_code (text) , size_description (text) | Treatment_Types : treatment_type_code (text) , treatment_type_description (text) | Owners : owner_id (text) , first_name (text) , last_name (text) , street (number) , city (text) , state (number) , zip_code (text) , email_address (text) , home_phone (text) , cell_number (text) | Dogs : dog_id (text) , owner_id (text) , abandoned_yn (text) , breed_code (number) , size_code (text) , name (number) , age (text) , date_of_birth (text) , gender (text) , weight (text) , date_arrived (number) , date_adopted (text) , date_departed (text) | Professionals : professional_id (text) , role_code (text) , first_name (text) , street (number) , city (text) , state (number) , zip_code (text) , last_name (text) , email_address (text) , home_phone (text) , cell_number (number) | Treatments : treatment_id (text) , dog_id (text) , professional_id (text) , treatment_type_code (number) , date_of_treatment (text) , cost_of_treatment (number);</schema>"
<primary_keys>[Primary Keys]: breeds : breed_code, charges : charge_id, sizes : size_code, treatment_types : treatment_type_code, owners : owner_id, dogs : dog_id, professionals : professional_id, treatments : treatment_id</primary_keys>"
<foreign_keys>[Foreign Keys]: dogs : owner_id = owners : owner_id | dogs : owner_id = owners : owner_id | dogs : size_code = sizes : size_code | dogs : breed_code = breeds : breed_code | treatments : dog_id = dogs : dog_id | treatments : professional_id = professionals : professional_id | treatments : treatment_type_code = treatment_types : treatment_type_code</foreign_keys>"
Answer the following question with a SQL Statement:<question>Who owns the youngest dog? Give me his or her last name.</question>
[SQL]:

Output: <SQL_QUERY>SELECT T1.last_name FROM Owners AS T1 JOIN Dogs AS T2 ON T1.owner_id  =  T2.owner_id WHERE T2.age  =  ( SELECT max(age) FROM Dogs )</SQL_QUERY>

Question: SELECT T1.last_name FROM Owners AS T1 JOIN Dogs AS T2 ON T1.owner_id  =  T2.owner_id WHERE T2.age  =  ( SELECT max(age) FROM Dogs )

Question: Who owns the youngest dog? Give me his or her last name.


Input:
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)]: | dog_kennels |  Breeds : breed_code (text) , breed_name (text) | Charges : charge_id (text) , charge_type (text) , charge_amount (text) | Sizes : size_code (text) , size_description (text) | Treatment_Types : treatment_type_code (text) , treatment_type_description (text) | Owners : owner_id (text) , first_name (text) , last_name (text) , street (number) , city (text) , state (number) , zip_code (text) , email_address (text) , home_phone (text) , cell_number (text) | Dogs : dog_id (text) , owner_id (text) , abandoned_yn (text) , breed_code (number) , size_code (text) , name (number) , age (text) , date_of_birth (text) , gender (text) , weight (text) , date_arrived (number) , date_adopted (text) , date_departed (text) | Professionals : professional_id (text) , role_code (text) , first_name (text) , street (number) , city (text) , state (number) , zip_code (text) , last_name (text) , email_address (text) , home_phone (text) , cell_number (number) | Treatments : treatment_id (text) , dog_id (text) , professional_id (text) , treatment_type_code (number) , date_of_treatment (text) , cost_of_treatment (number);</schema>"
<primary_keys>[Primary Keys]: breeds : breed_code, charges : charge_id, sizes : size_code, treatment_types : treatment_type_code, owners : owner_id, dogs : dog_id, professionals : professional_id, treatments : treatment_id</primary_keys>"
<foreign_keys>[Foreign Keys]: dogs : owner_id = owners : owner_id | dogs : owner_id = owners : owner_id | dogs : size_code = sizes : size_code | dogs : breed_code = breeds : breed_code | treatments : dog_id = dogs : dog_id | treatments : professional_id = professionals : professional_id | treatments : treatment_type_code = treatment_types : treatment_type_code</foreign_keys>"
Answer the following question with a SQL Statement:<question>List the emails of the professionals who live in the state of Hawaii or the state of Wisconsin.</question>
[SQL]:

Output: <SQL_QUERY>SELECT email_address FROM Professionals WHERE state  =  'Hawaii' OR state  =  'Wisconsin'</SQL_QUERY>

Question: SELECT email_address FROM Professionals WHERE state  =  'Hawaii' OR state  =  'Wisconsin'

Question: List the emails of the professionals who live in the state of Hawaii or the state of Wisconsin.


Input:
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)]: | dog_kennels |  Breeds : breed_code (text) , breed_name (text) | Charges : charge_id (text) , charge_type (text) , charge_amount (text) | Sizes : size_code (text) , size_description (text) | Treatment_Types : treatment_type_code (text) , treatment_type_description (text) | Owners : owner_id (text) , first_name (text) , last_name (text) , street (number) , city (text) , state (number) , zip_code (text) , email_address (text) , home_phone (text) , cell_number (text) | Dogs : dog_id (text) , owner_id (text) , abandoned_yn (text) , breed_code (number) , size_code (text) , name (number) , age (text) , date_of_birth (text) , gender (text) , weight (text) , date_arrived (number) , date_adopted (text) , date_departed (text) | Professionals : professional_id (text) , role_code (text) , first_name (text) , street (number) , city (text) , state (number) , zip_code (text) , last_name (text) , email_address (text) , home_phone (text) , cell_number (number) | Treatments : treatment_id (text) , dog_id (text) , professional_id (text) , treatment_type_code (number) , date_of_treatment (text) , cost_of_treatment (number);</schema>"
<primary_keys>[Primary Keys]: breeds : breed_code, charges : charge_id, sizes : size_code, treatment_types : treatment_type_code, owners : owner_id, dogs : dog_id, professionals : professional_id, treatments : treatment_id</primary_keys>"
<foreign_keys>[Foreign Keys]: dogs : owner_id = owners : owner_id | dogs : owner_id = owners : owner_id | dogs : size_code = sizes : size_code | dogs : breed_code = breeds : breed_code | treatments : dog_id = dogs : dog_id | treatments : professional_id = professionals : professional_id | treatments : treatment_type_code = treatment_types : treatment_type_code</foreign_keys>"
Answer the following question with a SQL Statement:<question>What are the emails of the professionals living in either the state of Hawaii or the state of Wisconsin?</question>
[SQL]:

Output: <SQL_QUERY>SELECT email_address FROM Professionals WHERE state  =  'Hawaii' OR state  =  'Wisconsin'</SQL_QUERY>

Question: SELECT email_address FROM Professionals WHERE state  =  'Hawaii' OR state  =  'Wisconsin'

Question: What are the emails of the professionals living in either the state of Hawaii or the state of Wisconsin?


Input:
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)]: | dog_kennels |  Breeds : breed_code (text) , breed_name (text) | Charges : charge_id (text) , charge_type (text) , charge_amount (text) | Sizes : size_code (text) , size_description (text) | Treatment_Types : treatment_type_code (text) , treatment_type_description (text) | Owners : owner_id (text) , first_name (text) , last_name (text) , street (number) , city (text) , state (number) , zip_code (text) , email_address (text) , home_phone (text) , cell_number (text) | Dogs : dog_id (text) , owner_id (text) , abandoned_yn (text) , breed_code (number) , size_code (text) , name (number) , age (text) , date_of_birth (text) , gender (text) , weight (text) , date_arrived (number) , date_adopted (text) , date_departed (text) | Professionals : professional_id (text) , role_code (text) , first_name (text) , street (number) , city (text) , state (number) , zip_code (text) , last_name (text) , email_address (text) , home_phone (text) , cell_number (number) | Treatments : treatment_id (text) , dog_id (text) , professional_id (text) , treatment_type_code (number) , date_of_treatment (text) , cost_of_treatment (number);</schema>"
<primary_keys>[Primary Keys]: breeds : breed_code, charges : charge_id, sizes : size_code, treatment_types : treatment_type_code, owners : owner_id, dogs : dog_id, professionals : professional_id, treatments : treatment_id</primary_keys>"
<foreign_keys>[Foreign Keys]: dogs : owner_id = owners : owner_id | dogs : owner_id = owners : owner_id | dogs : size_code = sizes : size_code | dogs : breed_code = breeds : breed_code | treatments : dog_id = dogs : dog_id | treatments : professional_id = professionals : professional_id | treatments : treatment_type_code = treatment_types : treatment_type_code</foreign_keys>"
Answer the following question with a SQL Statement:<question>What are the arriving date and the departing date of all the dogs?</question>
[SQL]:

Output: <SQL_QUERY>SELECT date_arrived ,  date_departed FROM Dogs</SQL_QUERY>

Question: SELECT date_arrived ,  date_departed FROM Dogs

Question: What are the arriving date and the departing date of all the dogs?


Input:
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)]: | dog_kennels |  Breeds : breed_code (text) , breed_name (text) | Charges : charge_id (text) , charge_type (text) , charge_amount (text) | Sizes : size_code (text) , size_description (text) | Treatment_Types : treatment_type_code (text) , treatment_type_description (text) | Owners : owner_id (text) , first_name (text) , last_name (text) , street (number) , city (text) , state (number) , zip_code (text) , email_address (text) , home_phone (text) , cell_number (text) | Dogs : dog_id (text) , owner_id (text) , abandoned_yn (text) , breed_code (number) , size_code (text) , name (number) , age (text) , date_of_birth (text) , gender (text) , weight (text) , date_arrived (number) , date_adopted (text) , date_departed (text) | Professionals : professional_id (text) , role_code (text) , first_name (text) , street (number) , city (text) , state (number) , zip_code (text) , last_name (text) , email_address (text) , home_phone (text) , cell_number (number) | Treatments : treatment_id (text) , dog_id (text) , professional_id (text) , treatment_type_code (number) , date_of_treatment (text) , cost_of_treatment (number);</schema>"
<primary_keys>[Primary Keys]: breeds : breed_code, charges : charge_id, sizes : size_code, treatment_types : treatment_type_code, owners : owner_id, dogs : dog_id, professionals : professional_id, treatments : treatment_id</primary_keys>"
<foreign_keys>[Foreign Keys]: dogs : owner_id = owners : owner_id | dogs : owner_id = owners : owner_id | dogs : size_code = sizes : size_code | dogs : breed_code = breeds : breed_code | treatments : dog_id = dogs : dog_id | treatments : professional_id = professionals : professional_id | treatments : treatment_type_code = treatment_types : treatment_type_code</foreign_keys>"
Answer the following question with a SQL Statement:<question>List the arrival date and the departure date for all the dogs.</question>
[SQL]:

Output: <SQL_QUERY>SELECT date_arrived ,  date_departed FROM Dogs</SQL_QUERY>

Question: SELECT date_arrived ,  date_departed FROM Dogs

Question: List the arrival date and the departure date for all the dogs.


Input:
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)]: | dog_kennels |  Breeds : breed_code (text) , breed_name (text) | Charges : charge_id (text) , charge_type (text) , charge_amount (text) | Sizes : size_code (text) , size_description (text) | Treatment_Types : treatment_type_code (text) , treatment_type_description (text) | Owners : owner_id (text) , first_name (text) , last_name (text) , street (number) , city (text) , state (number) , zip_code (text) , email_address (text) , home_phone (text) , cell_number (text) | Dogs : dog_id (text) , owner_id (text) , abandoned_yn (text) , breed_code (number) , size_code (text) , name (number) , age (text) , date_of_birth (text) , gender (text) , weight (text) , date_arrived (number) , date_adopted (text) , date_departed (text) | Professionals : professional_id (text) , role_code (text) , first_name (text) , street (number) , city (text) , state (number) , zip_code (text) , last_name (text) , email_address (text) , home_phone (text) , cell_number (number) | Treatments : treatment_id (text) , dog_id (text) , professional_id (text) , treatment_type_code (number) , date_of_treatment (text) , cost_of_treatment (number);</schema>"
<primary_keys>[Primary Keys]: breeds : breed_code, charges : charge_id, sizes : size_code, treatment_types : treatment_type_code, owners : owner_id, dogs : dog_id, professionals : professional_id, treatments : treatment_id</primary_keys>"
<foreign_keys>[Foreign Keys]: dogs : owner_id = owners : owner_id | dogs : owner_id = owners : owner_id | dogs : size_code = sizes : size_code | dogs : breed_code = breeds : breed_code | treatments : dog_id = dogs : dog_id | treatments : professional_id = professionals : professional_id | treatments : treatment_type_code = treatment_types : treatment_type_code</foreign_keys>"
Answer the following question with a SQL Statement:<question>How many dogs went through any treatments?</question>
[SQL]:

Output: <SQL_QUERY>SELECT count(DISTINCT dog_id) FROM Treatments</SQL_QUERY>

Question: SELECT count(DISTINCT dog_id) FROM Treatments

Question: How many dogs went through any treatments?


Input:
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)]: | dog_kennels |  Breeds : breed_code (text) , breed_name (text) | Charges : charge_id (text) , charge_type (text) , charge_amount (text) | Sizes : size_code (text) , size_description (text) | Treatment_Types : treatment_type_code (text) , treatment_type_description (text) | Owners : owner_id (text) , first_name (text) , last_name (text) , street (number) , city (text) , state (number) , zip_code (text) , email_address (text) , home_phone (text) , cell_number (text) | Dogs : dog_id (text) , owner_id (text) , abandoned_yn (text) , breed_code (number) , size_code (text) , name (number) , age (text) , date_of_birth (text) , gender (text) , weight (text) , date_arrived (number) , date_adopted (text) , date_departed (text) | Professionals : professional_id (text) , role_code (text) , first_name (text) , street (number) , city (text) , state (number) , zip_code (text) , last_name (text) , email_address (text) , home_phone (text) , cell_number (number) | Treatments : treatment_id (text) , dog_id (text) , professional_id (text) , treatment_type_code (number) , date_of_treatment (text) , cost_of_treatment (number);</schema>"
<primary_keys>[Primary Keys]: breeds : breed_code, charges : charge_id, sizes : size_code, treatment_types : treatment_type_code, owners : owner_id, dogs : dog_id, professionals : professional_id, treatments : treatment_id</primary_keys>"
<foreign_keys>[Foreign Keys]: dogs : owner_id = owners : owner_id | dogs : owner_id = owners : owner_id | dogs : size_code = sizes : size_code | dogs : breed_code = breeds : breed_code | treatments : dog_id = dogs : dog_id | treatments : professional_id = professionals : professional_id | treatments : treatment_type_code = treatment_types : treatment_type_code</foreign_keys>"
Answer the following question with a SQL Statement:<question>Count the number of dogs that went through a treatment.</question>
[SQL]:

Output: <SQL_QUERY>SELECT count(DISTINCT dog_id) FROM Treatments</SQL_QUERY>

Question: SELECT count(DISTINCT dog_id) FROM Treatments

Question: Count the number of dogs that went through a treatment.


Input:
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)]: | dog_kennels |  Breeds : breed_code (text) , breed_name (text) | Charges : charge_id (text) , charge_type (text) , charge_amount (text) | Sizes : size_code (text) , size_description (text) | Treatment_Types : treatment_type_code (text) , treatment_type_description (text) | Owners : owner_id (text) , first_name (text) , last_name (text) , street (number) , city (text) , state (number) , zip_code (text) , email_address (text) , home_phone (text) , cell_number (text) | Dogs : dog_id (text) , owner_id (text) , abandoned_yn (text) , breed_code (number) , size_code (text) , name (number) , age (text) , date_of_birth (text) , gender (text) , weight (text) , date_arrived (number) , date_adopted (text) , date_departed (text) | Professionals : professional_id (text) , role_code (text) , first_name (text) , street (number) , city (text) , state (number) , zip_code (text) , last_name (text) , email_address (text) , home_phone (text) , cell_number (number) | Treatments : treatment_id (text) , dog_id (text) , professional_id (text) , treatment_type_code (number) , date_of_treatment (text) , cost_of_treatment (number);</schema>"
<primary_keys>[Primary Keys]: breeds : breed_code, charges : charge_id, sizes : size_code, treatment_types : treatment_type_code, owners : owner_id, dogs : dog_id, professionals : professional_id, treatments : treatment_id</primary_keys>"
<foreign_keys>[Foreign Keys]: dogs : owner_id = owners : owner_id | dogs : owner_id = owners : owner_id | dogs : size_code = sizes : size_code | dogs : breed_code = breeds : breed_code | treatments : dog_id = dogs : dog_id | treatments : professional_id = professionals : professional_id | treatments : treatment_type_code = treatment_types : treatment_type_code</foreign_keys>"
Answer the following question with a SQL Statement:<question>How many professionals have performed any treatment to dogs?</question>
[SQL]:

Output: <SQL_QUERY>SELECT count(DISTINCT professional_id) FROM Treatments</SQL_QUERY>

Question: SELECT count(DISTINCT professional_id) FROM Treatments

Question: How many professionals have performed any treatment to dogs?


Input:
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)]: | dog_kennels |  Breeds : breed_code (text) , breed_name (text) | Charges : charge_id (text) , charge_type (text) , charge_amount (text) | Sizes : size_code (text) , size_description (text) | Treatment_Types : treatment_type_code (text) , treatment_type_description (text) | Owners : owner_id (text) , first_name (text) , last_name (text) , street (number) , city (text) , state (number) , zip_code (text) , email_address (text) , home_phone (text) , cell_number (text) | Dogs : dog_id (text) , owner_id (text) , abandoned_yn (text) , breed_code (number) , size_code (text) , name (number) , age (text) , date_of_birth (text) , gender (text) , weight (text) , date_arrived (number) , date_adopted (text) , date_departed (text) | Professionals : professional_id (text) , role_code (text) , first_name (text) , street (number) , city (text) , state (number) , zip_code (text) , last_name (text) , email_address (text) , home_phone (text) , cell_number (number) | Treatments : treatment_id (text) , dog_id (text) , professional_id (text) , treatment_type_code (number) , date_of_treatment (text) , cost_of_treatment (number);</schema>"
<primary_keys>[Primary Keys]: breeds : breed_code, charges : charge_id, sizes : size_code, treatment_types : treatment_type_code, owners : owner_id, dogs : dog_id, professionals : professional_id, treatments : treatment_id</primary_keys>"
<foreign_keys>[Foreign Keys]: dogs : owner_id = owners : owner_id | dogs : owner_id = owners : owner_id | dogs : size_code = sizes : size_code | dogs : breed_code = breeds : breed_code | treatments : dog_id = dogs : dog_id | treatments : professional_id = professionals : professional_id | treatments : treatment_type_code = treatment_types : treatment_type_code</foreign_keys>"
Answer the following question with a SQL Statement:<question>Find the number of professionals who have ever treated dogs.</question>
[SQL]:

Output: <SQL_QUERY>SELECT count(DISTINCT professional_id) FROM Treatments</SQL_QUERY>

Question: SELECT count(DISTINCT professional_id) FROM Treatments

Question: Find the number of professionals who have ever treated dogs.


Input:
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)]: | dog_kennels |  Breeds : breed_code (text) , breed_name (text) | Charges : charge_id (text) , charge_type (text) , charge_amount (text) | Sizes : size_code (text) , size_description (text) | Treatment_Types : treatment_type_code (text) , treatment_type_description (text) | Owners : owner_id (text) , first_name (text) , last_name (text) , street (number) , city (text) , state (number) , zip_code (text) , email_address (text) , home_phone (text) , cell_number (text) | Dogs : dog_id (text) , owner_id (text) , abandoned_yn (text) , breed_code (number) , size_code (text) , name (number) , age (text) , date_of_birth (text) , gender (text) , weight (text) , date_arrived (number) , date_adopted (text) , date_departed (text) | Professionals : professional_id (text) , role_code (text) , first_name (text) , street (number) , city (text) , state (number) , zip_code (text) , last_name (text) , email_address (text) , home_phone (text) , cell_number (number) | Treatments : treatment_id (text) , dog_id (text) , professional_id (text) , treatment_type_code (number) , date_of_treatment (text) , cost_of_treatment (number);</schema>"
<primary_keys>[Primary Keys]: breeds : breed_code, charges : charge_id, sizes : size_code, treatment_types : treatment_type_code, owners : owner_id, dogs : dog_id, professionals : professional_id, treatments : treatment_id</primary_keys>"
<foreign_keys>[Foreign Keys]: dogs : owner_id = owners : owner_id | dogs : owner_id = owners : owner_id | dogs : size_code = sizes : size_code | dogs : breed_code = breeds : breed_code | treatments : dog_id = dogs : dog_id | treatments : professional_id = professionals : professional_id | treatments : treatment_type_code = treatment_types : treatment_type_code</foreign_keys>"
Answer the following question with a SQL Statement:<question>Which professionals live in a city containing the substring 'West'? List his or her role, street, city and state.</question>
[SQL]:

Output: <SQL_QUERY>SELECT role_code ,  street ,  city ,  state FROM professionals WHERE city LIKE '%West%'</SQL_QUERY>

Question: SELECT role_code ,  street ,  city ,  state FROM professionals WHERE city LIKE '%West%'

Question: Which professionals live in a city containing the substring 'West'? List his or her role, street, city and state.


Input:
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)]: | dog_kennels |  Breeds : breed_code (text) , breed_name (text) | Charges : charge_id (text) , charge_type (text) , charge_amount (text) | Sizes : size_code (text) , size_description (text) | Treatment_Types : treatment_type_code (text) , treatment_type_description (text) | Owners : owner_id (text) , first_name (text) , last_name (text) , street (number) , city (text) , state (number) , zip_code (text) , email_address (text) , home_phone (text) , cell_number (text) | Dogs : dog_id (text) , owner_id (text) , abandoned_yn (text) , breed_code (number) , size_code (text) , name (number) , age (text) , date_of_birth (text) , gender (text) , weight (text) , date_arrived (number) , date_adopted (text) , date_departed (text) | Professionals : professional_id (text) , role_code (text) , first_name (text) , street (number) , city (text) , state (number) , zip_code (text) , last_name (text) , email_address (text) , home_phone (text) , cell_number (number) | Treatments : treatment_id (text) , dog_id (text) , professional_id (text) , treatment_type_code (number) , date_of_treatment (text) , cost_of_treatment (number);</schema>"
<primary_keys>[Primary Keys]: breeds : breed_code, charges : charge_id, sizes : size_code, treatment_types : treatment_type_code, owners : owner_id, dogs : dog_id, professionals : professional_id, treatments : treatment_id</primary_keys>"
<foreign_keys>[Foreign Keys]: dogs : owner_id = owners : owner_id | dogs : owner_id = owners : owner_id | dogs : size_code = sizes : size_code | dogs : breed_code = breeds : breed_code | treatments : dog_id = dogs : dog_id | treatments : professional_id = professionals : professional_id | treatments : treatment_type_code = treatment_types : treatment_type_code</foreign_keys>"
Answer the following question with a SQL Statement:<question>Find the role, street, city and state of the professionals living in a city that contains the substring 'West'.</question>
[SQL]:

Output: <SQL_QUERY>SELECT role_code ,  street ,  city ,  state FROM professionals WHERE city LIKE '%West%'</SQL_QUERY>

Question: SELECT role_code ,  street ,  city ,  state FROM professionals WHERE city LIKE '%West%'

Question: Find the role, street, city and state of the professionals living in a city that contains the substring 'West'.


Input:
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)]: | dog_kennels |  Breeds : breed_code (text) , breed_name (text) | Charges : charge_id (text) , charge_type (text) , charge_amount (text) | Sizes : size_code (text) , size_description (text) | Treatment_Types : treatment_type_code (text) , treatment_type_description (text) | Owners : owner_id (text) , first_name (text) , last_name (text) , street (number) , city (text) , state (number) , zip_code (text) , email_address (text) , home_phone (text) , cell_number (text) | Dogs : dog_id (text) , owner_id (text) , abandoned_yn (text) , breed_code (number) , size_code (text) , name (number) , age (text) , date_of_birth (text) , gender (text) , weight (text) , date_arrived (number) , date_adopted (text) , date_departed (text) | Professionals : professional_id (text) , role_code (text) , first_name (text) , street (number) , city (text) , state (number) , zip_code (text) , last_name (text) , email_address (text) , home_phone (text) , cell_number (number) | Treatments : treatment_id (text) , dog_id (text) , professional_id (text) , treatment_type_code (number) , date_of_treatment (text) , cost_of_treatment (number);</schema>"
<primary_keys>[Primary Keys]: breeds : breed_code, charges : charge_id, sizes : size_code, treatment_types : treatment_type_code, owners : owner_id, dogs : dog_id, professionals : professional_id, treatments : treatment_id</primary_keys>"
<foreign_keys>[Foreign Keys]: dogs : owner_id = owners : owner_id | dogs : owner_id = owners : owner_id | dogs : size_code = sizes : size_code | dogs : breed_code = breeds : breed_code | treatments : dog_id = dogs : dog_id | treatments : professional_id = professionals : professional_id | treatments : treatment_type_code = treatment_types : treatment_type_code</foreign_keys>"
Answer the following question with a SQL Statement:<question>Which owners live in the state whose name contains the substring 'North'? List his first name, last name and email.</question>
[SQL]:

Output: <SQL_QUERY>SELECT first_name ,  last_name ,  email_address FROM Owners WHERE state LIKE '%North%'</SQL_QUERY>

Question: SELECT first_name ,  last_name ,  email_address FROM Owners WHERE state LIKE '%North%'

Question: Which owners live in the state whose name contains the substring 'North'? List his first name, last name and email.


Input:
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)]: | dog_kennels |  Breeds : breed_code (text) , breed_name (text) | Charges : charge_id (text) , charge_type (text) , charge_amount (text) | Sizes : size_code (text) , size_description (text) | Treatment_Types : treatment_type_code (text) , treatment_type_description (text) | Owners : owner_id (text) , first_name (text) , last_name (text) , street (number) , city (text) , state (number) , zip_code (text) , email_address (text) , home_phone (text) , cell_number (text) | Dogs : dog_id (text) , owner_id (text) , abandoned_yn (text) , breed_code (number) , size_code (text) , name (number) , age (text) , date_of_birth (text) , gender (text) , weight (text) , date_arrived (number) , date_adopted (text) , date_departed (text) | Professionals : professional_id (text) , role_code (text) , first_name (text) , street (number) , city (text) , state (number) , zip_code (text) , last_name (text) , email_address (text) , home_phone (text) , cell_number (number) | Treatments : treatment_id (text) , dog_id (text) , professional_id (text) , treatment_type_code (number) , date_of_treatment (text) , cost_of_treatment (number);</schema>"
<primary_keys>[Primary Keys]: breeds : breed_code, charges : charge_id, sizes : size_code, treatment_types : treatment_type_code, owners : owner_id, dogs : dog_id, professionals : professional_id, treatments : treatment_id</primary_keys>"
<foreign_keys>[Foreign Keys]: dogs : owner_id = owners : owner_id | dogs : owner_id = owners : owner_id | dogs : size_code = sizes : size_code | dogs : breed_code = breeds : breed_code | treatments : dog_id = dogs : dog_id | treatments : professional_id = professionals : professional_id | treatments : treatment_type_code = treatment_types : treatment_type_code</foreign_keys>"
Answer the following question with a SQL Statement:<question>Return the first name, last name and email of the owners living in a state whose name contains the substring 'North'.</question>
[SQL]:

Output: <SQL_QUERY>SELECT first_name ,  last_name ,  email_address FROM Owners WHERE state LIKE '%North%'</SQL_QUERY>

Question: SELECT first_name ,  last_name ,  email_address FROM Owners WHERE state LIKE '%North%'

Question: Return the first name, last name and email of the owners living in a state whose name contains the substring 'North'.


Input:
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)]: | dog_kennels |  Breeds : breed_code (text) , breed_name (text) | Charges : charge_id (text) , charge_type (text) , charge_amount (text) | Sizes : size_code (text) , size_description (text) | Treatment_Types : treatment_type_code (text) , treatment_type_description (text) | Owners : owner_id (text) , first_name (text) , last_name (text) , street (number) , city (text) , state (number) , zip_code (text) , email_address (text) , home_phone (text) , cell_number (text) | Dogs : dog_id (text) , owner_id (text) , abandoned_yn (text) , breed_code (number) , size_code (text) , name (number) , age (text) , date_of_birth (text) , gender (text) , weight (text) , date_arrived (number) , date_adopted (text) , date_departed (text) | Professionals : professional_id (text) , role_code (text) , first_name (text) , street (number) , city (text) , state (number) , zip_code (text) , last_name (text) , email_address (text) , home_phone (text) , cell_number (number) | Treatments : treatment_id (text) , dog_id (text) , professional_id (text) , treatment_type_code (number) , date_of_treatment (text) , cost_of_treatment (number);</schema>"
<primary_keys>[Primary Keys]: breeds : breed_code, charges : charge_id, sizes : size_code, treatment_types : treatment_type_code, owners : owner_id, dogs : dog_id, professionals : professional_id, treatments : treatment_id</primary_keys>"
<foreign_keys>[Foreign Keys]: dogs : owner_id = owners : owner_id | dogs : owner_id = owners : owner_id | dogs : size_code = sizes : size_code | dogs : breed_code = breeds : breed_code | treatments : dog_id = dogs : dog_id | treatments : professional_id = professionals : professional_id | treatments : treatment_type_code = treatment_types : treatment_type_code</foreign_keys>"
Answer the following question with a SQL Statement:<question>How many dogs have an age below the average?</question>
[SQL]:

Output: <SQL_QUERY>SELECT count(*) FROM Dogs WHERE age  <  ( SELECT avg(age) FROM Dogs )</SQL_QUERY>

Question: SELECT count(*) FROM Dogs WHERE age  <  ( SELECT avg(age) FROM Dogs )

Question: How many dogs have an age below the average?


Input:
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)]: | dog_kennels |  Breeds : breed_code (text) , breed_name (text) | Charges : charge_id (text) , charge_type (text) , charge_amount (text) | Sizes : size_code (text) , size_description (text) | Treatment_Types : treatment_type_code (text) , treatment_type_description (text) | Owners : owner_id (text) , first_name (text) , last_name (text) , street (number) , city (text) , state (number) , zip_code (text) , email_address (text) , home_phone (text) , cell_number (text) | Dogs : dog_id (text) , owner_id (text) , abandoned_yn (text) , breed_code (number) , size_code (text) , name (number) , age (text) , date_of_birth (text) , gender (text) , weight (text) , date_arrived (number) , date_adopted (text) , date_departed (text) | Professionals : professional_id (text) , role_code (text) , first_name (text) , street (number) , city (text) , state (number) , zip_code (text) , last_name (text) , email_address (text) , home_phone (text) , cell_number (number) | Treatments : treatment_id (text) , dog_id (text) , professional_id (text) , treatment_type_code (number) , date_of_treatment (text) , cost_of_treatment (number);</schema>"
<primary_keys>[Primary Keys]: breeds : breed_code, charges : charge_id, sizes : size_code, treatment_types : treatment_type_code, owners : owner_id, dogs : dog_id, professionals : professional_id, treatments : treatment_id</primary_keys>"
<foreign_keys>[Foreign Keys]: dogs : owner_id = owners : owner_id | dogs : owner_id = owners : owner_id | dogs : size_code = sizes : size_code | dogs : breed_code = breeds : breed_code | treatments : dog_id = dogs : dog_id | treatments : professional_id = professionals : professional_id | treatments : treatment_type_code = treatment_types : treatment_type_code</foreign_keys>"
Answer the following question with a SQL Statement:<question>Count the number of dogs of an age below the average.</question>
[SQL]:

Output: <SQL_QUERY>SELECT count(*) FROM Dogs WHERE age  <  ( SELECT avg(age) FROM Dogs )</SQL_QUERY>

Question: SELECT count(*) FROM Dogs WHERE age  <  ( SELECT avg(age) FROM Dogs )

Question: Count the number of dogs of an age below the average.


Input:
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)]: | dog_kennels |  Breeds : breed_code (text) , breed_name (text) | Charges : charge_id (text) , charge_type (text) , charge_amount (text) | Sizes : size_code (text) , size_description (text) | Treatment_Types : treatment_type_code (text) , treatment_type_description (text) | Owners : owner_id (text) , first_name (text) , last_name (text) , street (number) , city (text) , state (number) , zip_code (text) , email_address (text) , home_phone (text) , cell_number (text) | Dogs : dog_id (text) , owner_id (text) , abandoned_yn (text) , breed_code (number) , size_code (text) , name (number) , age (text) , date_of_birth (text) , gender (text) , weight (text) , date_arrived (number) , date_adopted (text) , date_departed (text) | Professionals : professional_id (text) , role_code (text) , first_name (text) , street (number) , city (text) , state (number) , zip_code (text) , last_name (text) , email_address (text) , home_phone (text) , cell_number (number) | Treatments : treatment_id (text) , dog_id (text) , professional_id (text) , treatment_type_code (number) , date_of_treatment (text) , cost_of_treatment (number);</schema>"
<primary_keys>[Primary Keys]: breeds : breed_code, charges : charge_id, sizes : size_code, treatment_types : treatment_type_code, owners : owner_id, dogs : dog_id, professionals : professional_id, treatments : treatment_id</primary_keys>"
<foreign_keys>[Foreign Keys]: dogs : owner_id = owners : owner_id | dogs : owner_id = owners : owner_id | dogs : size_code = sizes : size_code | dogs : breed_code = breeds : breed_code | treatments : dog_id = dogs : dog_id | treatments : professional_id = professionals : professional_id | treatments : treatment_type_code = treatment_types : treatment_type_code</foreign_keys>"
Answer the following question with a SQL Statement:<question>How much does the most recent treatment cost?</question>
[SQL]:

Output: <SQL_QUERY>SELECT cost_of_treatment FROM Treatments ORDER BY date_of_treatment DESC LIMIT 1</SQL_QUERY>

Question: SELECT cost_of_treatment FROM Treatments ORDER BY date_of_treatment DESC LIMIT 1

Question: How much does the most recent treatment cost?


Input:
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)]: | dog_kennels |  Breeds : breed_code (text) , breed_name (text) | Charges : charge_id (text) , charge_type (text) , charge_amount (text) | Sizes : size_code (text) , size_description (text) | Treatment_Types : treatment_type_code (text) , treatment_type_description (text) | Owners : owner_id (text) , first_name (text) , last_name (text) , street (number) , city (text) , state (number) , zip_code (text) , email_address (text) , home_phone (text) , cell_number (text) | Dogs : dog_id (text) , owner_id (text) , abandoned_yn (text) , breed_code (number) , size_code (text) , name (number) , age (text) , date_of_birth (text) , gender (text) , weight (text) , date_arrived (number) , date_adopted (text) , date_departed (text) | Professionals : professional_id (text) , role_code (text) , first_name (text) , street (number) , city (text) , state (number) , zip_code (text) , last_name (text) , email_address (text) , home_phone (text) , cell_number (number) | Treatments : treatment_id (text) , dog_id (text) , professional_id (text) , treatment_type_code (number) , date_of_treatment (text) , cost_of_treatment (number);</schema>"
<primary_keys>[Primary Keys]: breeds : breed_code, charges : charge_id, sizes : size_code, treatment_types : treatment_type_code, owners : owner_id, dogs : dog_id, professionals : professional_id, treatments : treatment_id</primary_keys>"
<foreign_keys>[Foreign Keys]: dogs : owner_id = owners : owner_id | dogs : owner_id = owners : owner_id | dogs : size_code = sizes : size_code | dogs : breed_code = breeds : breed_code | treatments : dog_id = dogs : dog_id | treatments : professional_id = professionals : professional_id | treatments : treatment_type_code = treatment_types : treatment_type_code</foreign_keys>"
Answer the following question with a SQL Statement:<question>Show me the cost of the most recently performed treatment.</question>
[SQL]:

Output: <SQL_QUERY>SELECT cost_of_treatment FROM Treatments ORDER BY date_of_treatment DESC LIMIT 1</SQL_QUERY>

Question: SELECT cost_of_treatment FROM Treatments ORDER BY date_of_treatment DESC LIMIT 1

Question: Show me the cost of the most recently performed treatment.