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)]: | network_1 |  Highschooler : id (text) , name (number) , grade (text) | Friend : student_id (text) , friend_id (number) | Likes : student_id (text) , liked_id (number);</schema>"
<primary_keys>[Primary Keys]: highschooler : id, friend : student_id, likes : student_id</primary_keys>"
<foreign_keys>[Foreign Keys]: friend : friend_id = highschooler : id | friend : student_id = highschooler : id | likes : student_id = highschooler : id | likes : liked_id = highschooler : id</foreign_keys>"
Answer the following question with a SQL Statement:<question>What are the names of the high schoolers and how many friends does each have?</question>
[SQL]:

Output: <SQL_QUERY>SELECT T2.name ,  count(*) FROM Friend AS T1 JOIN Highschooler AS T2 ON T1.student_id  =  T2.id GROUP BY T1.student_id</SQL_QUERY>

Question: SELECT T2.name ,  count(*) FROM Friend AS T1 JOIN Highschooler AS T2 ON T1.student_id  =  T2.id GROUP BY T1.student_id

Question: What are the names of the high schoolers and how many friends does each have?


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)]: | network_1 |  Highschooler : id (text) , name (number) , grade (text) | Friend : student_id (text) , friend_id (number) | Likes : student_id (text) , liked_id (number);</schema>"
<primary_keys>[Primary Keys]: highschooler : id, friend : student_id, likes : student_id</primary_keys>"
<foreign_keys>[Foreign Keys]: friend : friend_id = highschooler : id | friend : student_id = highschooler : id | likes : student_id = highschooler : id | likes : liked_id = highschooler : id</foreign_keys>"
Answer the following question with a SQL Statement:<question>What is the name of the high schooler who has the greatest number of friends?</question>
[SQL]:

Output: <SQL_QUERY>SELECT T2.name FROM Friend AS T1 JOIN Highschooler AS T2 ON T1.student_id  =  T2.id GROUP BY T1.student_id ORDER BY count(*) DESC LIMIT 1</SQL_QUERY>

Question: SELECT T2.name FROM Friend AS T1 JOIN Highschooler AS T2 ON T1.student_id  =  T2.id GROUP BY T1.student_id ORDER BY count(*) DESC LIMIT 1

Question: What is the name of the high schooler who has the greatest number of friends?


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)]: | network_1 |  Highschooler : id (text) , name (number) , grade (text) | Friend : student_id (text) , friend_id (number) | Likes : student_id (text) , liked_id (number);</schema>"
<primary_keys>[Primary Keys]: highschooler : id, friend : student_id, likes : student_id</primary_keys>"
<foreign_keys>[Foreign Keys]: friend : friend_id = highschooler : id | friend : student_id = highschooler : id | likes : student_id = highschooler : id | likes : liked_id = highschooler : id</foreign_keys>"
Answer the following question with a SQL Statement:<question>Return the name of the high school student with the most friends.</question>
[SQL]:

Output: <SQL_QUERY>SELECT T2.name FROM Friend AS T1 JOIN Highschooler AS T2 ON T1.student_id  =  T2.id GROUP BY T1.student_id ORDER BY count(*) DESC LIMIT 1</SQL_QUERY>

Question: SELECT T2.name FROM Friend AS T1 JOIN Highschooler AS T2 ON T1.student_id  =  T2.id GROUP BY T1.student_id ORDER BY count(*) DESC LIMIT 1

Question: Return the name of the high school student with the most friends.


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)]: | network_1 |  Highschooler : id (text) , name (number) , grade (text) | Friend : student_id (text) , friend_id (number) | Likes : student_id (text) , liked_id (number);</schema>"
<primary_keys>[Primary Keys]: highschooler : id, friend : student_id, likes : student_id</primary_keys>"
<foreign_keys>[Foreign Keys]: friend : friend_id = highschooler : id | friend : student_id = highschooler : id | likes : student_id = highschooler : id | likes : liked_id = highschooler : id</foreign_keys>"
Answer the following question with a SQL Statement:<question>Show the names of high schoolers who have at least 3 friends.</question>
[SQL]:

Output: <SQL_QUERY>SELECT T2.name FROM Friend AS T1 JOIN Highschooler AS T2 ON T1.student_id  =  T2.id GROUP BY T1.student_id HAVING count(*)  >=  3</SQL_QUERY>

Question: SELECT T2.name FROM Friend AS T1 JOIN Highschooler AS T2 ON T1.student_id  =  T2.id GROUP BY T1.student_id HAVING count(*)  >=  3

Question: Show the names of high schoolers who have at least 3 friends.


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)]: | network_1 |  Highschooler : id (text) , name (number) , grade (text) | Friend : student_id (text) , friend_id (number) | Likes : student_id (text) , liked_id (number);</schema>"
<primary_keys>[Primary Keys]: highschooler : id, friend : student_id, likes : student_id</primary_keys>"
<foreign_keys>[Foreign Keys]: friend : friend_id = highschooler : id | friend : student_id = highschooler : id | likes : student_id = highschooler : id | likes : liked_id = highschooler : id</foreign_keys>"
Answer the following question with a SQL Statement:<question>What are the names of high schoolers who have 3 or more friends?</question>
[SQL]:

Output: <SQL_QUERY>SELECT T2.name FROM Friend AS T1 JOIN Highschooler AS T2 ON T1.student_id  =  T2.id GROUP BY T1.student_id HAVING count(*)  >=  3</SQL_QUERY>

Question: SELECT T2.name FROM Friend AS T1 JOIN Highschooler AS T2 ON T1.student_id  =  T2.id GROUP BY T1.student_id HAVING count(*)  >=  3

Question: What are the names of high schoolers who have 3 or more friends?


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)]: | network_1 |  Highschooler : id (text) , name (number) , grade (text) | Friend : student_id (text) , friend_id (number) | Likes : student_id (text) , liked_id (number);</schema>"
<primary_keys>[Primary Keys]: highschooler : id, friend : student_id, likes : student_id</primary_keys>"
<foreign_keys>[Foreign Keys]: friend : friend_id = highschooler : id | friend : student_id = highschooler : id | likes : student_id = highschooler : id | likes : liked_id = highschooler : id</foreign_keys>"
Answer the following question with a SQL Statement:<question>Show the names of all of the high schooler Kyle's friends.</question>
[SQL]:

Output: <SQL_QUERY>SELECT T3.name FROM Friend AS T1 JOIN Highschooler AS T2 ON T1.student_id  =  T2.id JOIN Highschooler AS T3 ON T1.friend_id  =  T3.id WHERE T2.name  =  "Kyle"</SQL_QUERY>

Question: SELECT T3.name FROM Friend AS T1 JOIN Highschooler AS T2 ON T1.student_id  =  T2.id JOIN Highschooler AS T3 ON T1.friend_id  =  T3.id WHERE T2.name  =  "Kyle"

Question: Show the names of all of the high schooler Kyle's friends.


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)]: | network_1 |  Highschooler : id (text) , name (number) , grade (text) | Friend : student_id (text) , friend_id (number) | Likes : student_id (text) , liked_id (number);</schema>"
<primary_keys>[Primary Keys]: highschooler : id, friend : student_id, likes : student_id</primary_keys>"
<foreign_keys>[Foreign Keys]: friend : friend_id = highschooler : id | friend : student_id = highschooler : id | likes : student_id = highschooler : id | likes : liked_id = highschooler : id</foreign_keys>"
Answer the following question with a SQL Statement:<question>Return the names of friends of the high school student Kyle.</question>
[SQL]:

Output: <SQL_QUERY>SELECT T3.name FROM Friend AS T1 JOIN Highschooler AS T2 ON T1.student_id  =  T2.id JOIN Highschooler AS T3 ON T1.friend_id  =  T3.id WHERE T2.name  =  "Kyle"</SQL_QUERY>

Question: SELECT T3.name FROM Friend AS T1 JOIN Highschooler AS T2 ON T1.student_id  =  T2.id JOIN Highschooler AS T3 ON T1.friend_id  =  T3.id WHERE T2.name  =  "Kyle"

Question: Return the names of friends of the high school student Kyle.


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)]: | network_1 |  Highschooler : id (text) , name (number) , grade (text) | Friend : student_id (text) , friend_id (number) | Likes : student_id (text) , liked_id (number);</schema>"
<primary_keys>[Primary Keys]: highschooler : id, friend : student_id, likes : student_id</primary_keys>"
<foreign_keys>[Foreign Keys]: friend : friend_id = highschooler : id | friend : student_id = highschooler : id | likes : student_id = highschooler : id | likes : liked_id = highschooler : id</foreign_keys>"
Answer the following question with a SQL Statement:<question>How many friends does the high school student Kyle have?</question>
[SQL]:

Output: <SQL_QUERY>SELECT count(*) FROM Friend AS T1 JOIN Highschooler AS T2 ON T1.student_id  =  T2.id WHERE T2.name  =  "Kyle"</SQL_QUERY>

Question: SELECT count(*) FROM Friend AS T1 JOIN Highschooler AS T2 ON T1.student_id  =  T2.id WHERE T2.name  =  "Kyle"

Question: How many friends does the high school student Kyle have?


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)]: | network_1 |  Highschooler : id (text) , name (number) , grade (text) | Friend : student_id (text) , friend_id (number) | Likes : student_id (text) , liked_id (number);</schema>"
<primary_keys>[Primary Keys]: highschooler : id, friend : student_id, likes : student_id</primary_keys>"
<foreign_keys>[Foreign Keys]: friend : friend_id = highschooler : id | friend : student_id = highschooler : id | likes : student_id = highschooler : id | likes : liked_id = highschooler : id</foreign_keys>"
Answer the following question with a SQL Statement:<question>Count the number of friends Kyle has.</question>
[SQL]:

Output: <SQL_QUERY>SELECT count(*) FROM Friend AS T1 JOIN Highschooler AS T2 ON T1.student_id  =  T2.id WHERE T2.name  =  "Kyle"</SQL_QUERY>

Question: SELECT count(*) FROM Friend AS T1 JOIN Highschooler AS T2 ON T1.student_id  =  T2.id WHERE T2.name  =  "Kyle"

Question: Count the number of friends Kyle has.


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)]: | network_1 |  Highschooler : id (text) , name (number) , grade (text) | Friend : student_id (text) , friend_id (number) | Likes : student_id (text) , liked_id (number);</schema>"
<primary_keys>[Primary Keys]: highschooler : id, friend : student_id, likes : student_id</primary_keys>"
<foreign_keys>[Foreign Keys]: friend : friend_id = highschooler : id | friend : student_id = highschooler : id | likes : student_id = highschooler : id | likes : liked_id = highschooler : id</foreign_keys>"
Answer the following question with a SQL Statement:<question>Show ids of all students who do not have any friends.</question>
[SQL]:

Output: <SQL_QUERY>SELECT id FROM Highschooler EXCEPT SELECT student_id FROM Friend</SQL_QUERY>

Question: SELECT id FROM Highschooler EXCEPT SELECT student_id FROM Friend

Question: Show ids of all students who do not have any friends.


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)]: | network_1 |  Highschooler : id (text) , name (number) , grade (text) | Friend : student_id (text) , friend_id (number) | Likes : student_id (text) , liked_id (number);</schema>"
<primary_keys>[Primary Keys]: highschooler : id, friend : student_id, likes : student_id</primary_keys>"
<foreign_keys>[Foreign Keys]: friend : friend_id = highschooler : id | friend : student_id = highschooler : id | likes : student_id = highschooler : id | likes : liked_id = highschooler : id</foreign_keys>"
Answer the following question with a SQL Statement:<question>What are the ids of high school students who do not have friends?</question>
[SQL]:

Output: <SQL_QUERY>SELECT id FROM Highschooler EXCEPT SELECT student_id FROM Friend</SQL_QUERY>

Question: SELECT id FROM Highschooler EXCEPT SELECT student_id FROM Friend

Question: What are the ids of high school students who do not have friends?


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)]: | network_1 |  Highschooler : id (text) , name (number) , grade (text) | Friend : student_id (text) , friend_id (number) | Likes : student_id (text) , liked_id (number);</schema>"
<primary_keys>[Primary Keys]: highschooler : id, friend : student_id, likes : student_id</primary_keys>"
<foreign_keys>[Foreign Keys]: friend : friend_id = highschooler : id | friend : student_id = highschooler : id | likes : student_id = highschooler : id | likes : liked_id = highschooler : id</foreign_keys>"
Answer the following question with a SQL Statement:<question>Show names of all high school students who do not have any friends.</question>
[SQL]:

Output: <SQL_QUERY>SELECT name FROM Highschooler EXCEPT SELECT T2.name FROM Friend AS T1 JOIN Highschooler AS T2 ON T1.student_id  =  T2.id</SQL_QUERY>

Question: SELECT name FROM Highschooler EXCEPT SELECT T2.name FROM Friend AS T1 JOIN Highschooler AS T2 ON T1.student_id  =  T2.id

Question: Show names of all high school students who do not have any friends.


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)]: | network_1 |  Highschooler : id (text) , name (number) , grade (text) | Friend : student_id (text) , friend_id (number) | Likes : student_id (text) , liked_id (number);</schema>"
<primary_keys>[Primary Keys]: highschooler : id, friend : student_id, likes : student_id</primary_keys>"
<foreign_keys>[Foreign Keys]: friend : friend_id = highschooler : id | friend : student_id = highschooler : id | likes : student_id = highschooler : id | likes : liked_id = highschooler : id</foreign_keys>"
Answer the following question with a SQL Statement:<question>What are the names of students who have no friends?</question>
[SQL]:

Output: <SQL_QUERY>SELECT name FROM Highschooler EXCEPT SELECT T2.name FROM Friend AS T1 JOIN Highschooler AS T2 ON T1.student_id  =  T2.id</SQL_QUERY>

Question: SELECT name FROM Highschooler EXCEPT SELECT T2.name FROM Friend AS T1 JOIN Highschooler AS T2 ON T1.student_id  =  T2.id

Question: What are the names of students who have no friends?


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)]: | network_1 |  Highschooler : id (text) , name (number) , grade (text) | Friend : student_id (text) , friend_id (number) | Likes : student_id (text) , liked_id (number);</schema>"
<primary_keys>[Primary Keys]: highschooler : id, friend : student_id, likes : student_id</primary_keys>"
<foreign_keys>[Foreign Keys]: friend : friend_id = highschooler : id | friend : student_id = highschooler : id | likes : student_id = highschooler : id | likes : liked_id = highschooler : id</foreign_keys>"
Answer the following question with a SQL Statement:<question>Show the ids of high schoolers who have friends and are also liked by someone else.</question>
[SQL]:

Output: <SQL_QUERY>SELECT student_id FROM Friend INTERSECT SELECT liked_id FROM Likes</SQL_QUERY>

Question: SELECT student_id FROM Friend INTERSECT SELECT liked_id FROM Likes

Question: Show the ids of high schoolers who have friends and are also liked by someone else.


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)]: | network_1 |  Highschooler : id (text) , name (number) , grade (text) | Friend : student_id (text) , friend_id (number) | Likes : student_id (text) , liked_id (number);</schema>"
<primary_keys>[Primary Keys]: highschooler : id, friend : student_id, likes : student_id</primary_keys>"
<foreign_keys>[Foreign Keys]: friend : friend_id = highschooler : id | friend : student_id = highschooler : id | likes : student_id = highschooler : id | likes : liked_id = highschooler : id</foreign_keys>"
Answer the following question with a SQL Statement:<question>What are the ids of students who both have friends and are liked?</question>
[SQL]:

Output: <SQL_QUERY>SELECT student_id FROM Friend INTERSECT SELECT liked_id FROM Likes</SQL_QUERY>

Question: SELECT student_id FROM Friend INTERSECT SELECT liked_id FROM Likes

Question: What are the ids of students who both have friends and are liked?


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)]: | network_1 |  Highschooler : id (text) , name (number) , grade (text) | Friend : student_id (text) , friend_id (number) | Likes : student_id (text) , liked_id (number);</schema>"
<primary_keys>[Primary Keys]: highschooler : id, friend : student_id, likes : student_id</primary_keys>"
<foreign_keys>[Foreign Keys]: friend : friend_id = highschooler : id | friend : student_id = highschooler : id | likes : student_id = highschooler : id | likes : liked_id = highschooler : id</foreign_keys>"
Answer the following question with a SQL Statement:<question>Show name of all students who have some friends and also are liked by someone else.</question>
[SQL]:

Output: <SQL_QUERY>SELECT T2.name FROM Friend AS T1 JOIN Highschooler AS T2 ON T1.student_id  =  T2.id INTERSECT SELECT T2.name FROM Likes AS T1 JOIN Highschooler AS T2 ON T1.liked_id  =  T2.id</SQL_QUERY>

Question: SELECT T2.name FROM Friend AS T1 JOIN Highschooler AS T2 ON T1.student_id  =  T2.id INTERSECT SELECT T2.name FROM Likes AS T1 JOIN Highschooler AS T2 ON T1.liked_id  =  T2.id

Question: Show name of all students who have some friends and also are liked by someone else.


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)]: | network_1 |  Highschooler : id (text) , name (number) , grade (text) | Friend : student_id (text) , friend_id (number) | Likes : student_id (text) , liked_id (number);</schema>"
<primary_keys>[Primary Keys]: highschooler : id, friend : student_id, likes : student_id</primary_keys>"
<foreign_keys>[Foreign Keys]: friend : friend_id = highschooler : id | friend : student_id = highschooler : id | likes : student_id = highschooler : id | likes : liked_id = highschooler : id</foreign_keys>"
Answer the following question with a SQL Statement:<question>What are the names of high schoolers who both have friends and are liked?</question>
[SQL]:

Output: <SQL_QUERY>SELECT T2.name FROM Friend AS T1 JOIN Highschooler AS T2 ON T1.student_id  =  T2.id INTERSECT SELECT T2.name FROM Likes AS T1 JOIN Highschooler AS T2 ON T1.liked_id  =  T2.id</SQL_QUERY>

Question: SELECT T2.name FROM Friend AS T1 JOIN Highschooler AS T2 ON T1.student_id  =  T2.id INTERSECT SELECT T2.name FROM Likes AS T1 JOIN Highschooler AS T2 ON T1.liked_id  =  T2.id

Question: What are the names of high schoolers who both have friends and are liked?


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)]: | network_1 |  Highschooler : id (text) , name (number) , grade (text) | Friend : student_id (text) , friend_id (number) | Likes : student_id (text) , liked_id (number);</schema>"
<primary_keys>[Primary Keys]: highschooler : id, friend : student_id, likes : student_id</primary_keys>"
<foreign_keys>[Foreign Keys]: friend : friend_id = highschooler : id | friend : student_id = highschooler : id | likes : student_id = highschooler : id | likes : liked_id = highschooler : id</foreign_keys>"
Answer the following question with a SQL Statement:<question>Count the number of likes for each student id.</question>
[SQL]:

Output: <SQL_QUERY>SELECT student_id ,  count(*) FROM Likes GROUP BY student_id</SQL_QUERY>

Question: SELECT student_id ,  count(*) FROM Likes GROUP BY student_id

Question: Count the number of likes for each student id.


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)]: | network_1 |  Highschooler : id (text) , name (number) , grade (text) | Friend : student_id (text) , friend_id (number) | Likes : student_id (text) , liked_id (number);</schema>"
<primary_keys>[Primary Keys]: highschooler : id, friend : student_id, likes : student_id</primary_keys>"
<foreign_keys>[Foreign Keys]: friend : friend_id = highschooler : id | friend : student_id = highschooler : id | likes : student_id = highschooler : id | likes : liked_id = highschooler : id</foreign_keys>"
Answer the following question with a SQL Statement:<question>How many likes correspond to each student id?</question>
[SQL]:

Output: <SQL_QUERY>SELECT student_id ,  count(*) FROM Likes GROUP BY student_id</SQL_QUERY>

Question: SELECT student_id ,  count(*) FROM Likes GROUP BY student_id

Question: How many likes correspond to each student id?


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)]: | network_1 |  Highschooler : id (text) , name (number) , grade (text) | Friend : student_id (text) , friend_id (number) | Likes : student_id (text) , liked_id (number);</schema>"
<primary_keys>[Primary Keys]: highschooler : id, friend : student_id, likes : student_id</primary_keys>"
<foreign_keys>[Foreign Keys]: friend : friend_id = highschooler : id | friend : student_id = highschooler : id | likes : student_id = highschooler : id | likes : liked_id = highschooler : id</foreign_keys>"
Answer the following question with a SQL Statement:<question>Show the names of high schoolers who have likes, and numbers of likes for each.</question>
[SQL]:

Output: <SQL_QUERY>SELECT T2.name ,  count(*) FROM Likes AS T1 JOIN Highschooler AS T2 ON T1.student_id  =  T2.id GROUP BY T1.student_id</SQL_QUERY>

Question: SELECT T2.name ,  count(*) FROM Likes AS T1 JOIN Highschooler AS T2 ON T1.student_id  =  T2.id GROUP BY T1.student_id

Question: Show the names of high schoolers who have likes, and numbers of likes for each.


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)]: | network_1 |  Highschooler : id (text) , name (number) , grade (text) | Friend : student_id (text) , friend_id (number) | Likes : student_id (text) , liked_id (number);</schema>"
<primary_keys>[Primary Keys]: highschooler : id, friend : student_id, likes : student_id</primary_keys>"
<foreign_keys>[Foreign Keys]: friend : friend_id = highschooler : id | friend : student_id = highschooler : id | likes : student_id = highschooler : id | likes : liked_id = highschooler : id</foreign_keys>"
Answer the following question with a SQL Statement:<question>What are the names of high schoolers who have likes, and how many likes does each have?</question>
[SQL]:

Output: <SQL_QUERY>SELECT T2.name ,  count(*) FROM Likes AS T1 JOIN Highschooler AS T2 ON T1.student_id  =  T2.id GROUP BY T1.student_id</SQL_QUERY>

Question: SELECT T2.name ,  count(*) FROM Likes AS T1 JOIN Highschooler AS T2 ON T1.student_id  =  T2.id GROUP BY T1.student_id

Question: What are the names of high schoolers who have likes, and how many likes does each have?


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)]: | network_1 |  Highschooler : id (text) , name (number) , grade (text) | Friend : student_id (text) , friend_id (number) | Likes : student_id (text) , liked_id (number);</schema>"
<primary_keys>[Primary Keys]: highschooler : id, friend : student_id, likes : student_id</primary_keys>"
<foreign_keys>[Foreign Keys]: friend : friend_id = highschooler : id | friend : student_id = highschooler : id | likes : student_id = highschooler : id | likes : liked_id = highschooler : id</foreign_keys>"
Answer the following question with a SQL Statement:<question>What is the name of the high schooler who has the greatest number of likes?</question>
[SQL]:

Output: <SQL_QUERY>SELECT T2.name FROM Likes AS T1 JOIN Highschooler AS T2 ON T1.student_id  =  T2.id GROUP BY T1.student_id ORDER BY count(*) DESC LIMIT 1</SQL_QUERY>

Question: SELECT T2.name FROM Likes AS T1 JOIN Highschooler AS T2 ON T1.student_id  =  T2.id GROUP BY T1.student_id ORDER BY count(*) DESC LIMIT 1

Question: What is the name of the high schooler who has the greatest number of likes?


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)]: | network_1 |  Highschooler : id (text) , name (number) , grade (text) | Friend : student_id (text) , friend_id (number) | Likes : student_id (text) , liked_id (number);</schema>"
<primary_keys>[Primary Keys]: highschooler : id, friend : student_id, likes : student_id</primary_keys>"
<foreign_keys>[Foreign Keys]: friend : friend_id = highschooler : id | friend : student_id = highschooler : id | likes : student_id = highschooler : id | likes : liked_id = highschooler : id</foreign_keys>"
Answer the following question with a SQL Statement:<question>Give the name of the student with the most likes.</question>
[SQL]:

Output: <SQL_QUERY>SELECT T2.name FROM Likes AS T1 JOIN Highschooler AS T2 ON T1.student_id  =  T2.id GROUP BY T1.student_id ORDER BY count(*) DESC LIMIT 1</SQL_QUERY>

Question: SELECT T2.name FROM Likes AS T1 JOIN Highschooler AS T2 ON T1.student_id  =  T2.id GROUP BY T1.student_id ORDER BY count(*) DESC LIMIT 1

Question: Give the name of the student with the most likes.


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)]: | network_1 |  Highschooler : id (text) , name (number) , grade (text) | Friend : student_id (text) , friend_id (number) | Likes : student_id (text) , liked_id (number);</schema>"
<primary_keys>[Primary Keys]: highschooler : id, friend : student_id, likes : student_id</primary_keys>"
<foreign_keys>[Foreign Keys]: friend : friend_id = highschooler : id | friend : student_id = highschooler : id | likes : student_id = highschooler : id | likes : liked_id = highschooler : id</foreign_keys>"
Answer the following question with a SQL Statement:<question>Show the names of students who have at least 2 likes.</question>
[SQL]:

Output: <SQL_QUERY>SELECT T2.name FROM Likes AS T1 JOIN Highschooler AS T2 ON T1.student_id  =  T2.id GROUP BY T1.student_id HAVING count(*)  >=  2</SQL_QUERY>

Question: SELECT T2.name FROM Likes AS T1 JOIN Highschooler AS T2 ON T1.student_id  =  T2.id GROUP BY T1.student_id HAVING count(*)  >=  2

Question: Show the names of students who have at least 2 likes.


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)]: | network_1 |  Highschooler : id (text) , name (number) , grade (text) | Friend : student_id (text) , friend_id (number) | Likes : student_id (text) , liked_id (number);</schema>"
<primary_keys>[Primary Keys]: highschooler : id, friend : student_id, likes : student_id</primary_keys>"
<foreign_keys>[Foreign Keys]: friend : friend_id = highschooler : id | friend : student_id = highschooler : id | likes : student_id = highschooler : id | likes : liked_id = highschooler : id</foreign_keys>"
Answer the following question with a SQL Statement:<question>What are the names of students who have 2 or more likes?</question>
[SQL]:

Output: <SQL_QUERY>SELECT T2.name FROM Likes AS T1 JOIN Highschooler AS T2 ON T1.student_id  =  T2.id GROUP BY T1.student_id HAVING count(*)  >=  2</SQL_QUERY>

Question: SELECT T2.name FROM Likes AS T1 JOIN Highschooler AS T2 ON T1.student_id  =  T2.id GROUP BY T1.student_id HAVING count(*)  >=  2

Question: What are the names of students who have 2 or more likes?


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)]: | network_1 |  Highschooler : id (text) , name (number) , grade (text) | Friend : student_id (text) , friend_id (number) | Likes : student_id (text) , liked_id (number);</schema>"
<primary_keys>[Primary Keys]: highschooler : id, friend : student_id, likes : student_id</primary_keys>"
<foreign_keys>[Foreign Keys]: friend : friend_id = highschooler : id | friend : student_id = highschooler : id | likes : student_id = highschooler : id | likes : liked_id = highschooler : id</foreign_keys>"
Answer the following question with a SQL Statement:<question>Show the names of students who have a grade higher than 5 and have at least 2 friends.</question>
[SQL]:

Output: <SQL_QUERY>SELECT T2.name FROM Friend AS T1 JOIN Highschooler AS T2 ON T1.student_id  =  T2.id WHERE T2.grade  >  5 GROUP BY T1.student_id HAVING count(*)  >=  2</SQL_QUERY>

Question: SELECT T2.name FROM Friend AS T1 JOIN Highschooler AS T2 ON T1.student_id  =  T2.id WHERE T2.grade  >  5 GROUP BY T1.student_id HAVING count(*)  >=  2

Question: Show the names of students who have a grade higher than 5 and have at least 2 friends.


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)]: | network_1 |  Highschooler : id (text) , name (number) , grade (text) | Friend : student_id (text) , friend_id (number) | Likes : student_id (text) , liked_id (number);</schema>"
<primary_keys>[Primary Keys]: highschooler : id, friend : student_id, likes : student_id</primary_keys>"
<foreign_keys>[Foreign Keys]: friend : friend_id = highschooler : id | friend : student_id = highschooler : id | likes : student_id = highschooler : id | likes : liked_id = highschooler : id</foreign_keys>"
Answer the following question with a SQL Statement:<question>What are the names of high schoolers who have a grade of over 5 and have 2 or more friends?</question>
[SQL]:

Output: <SQL_QUERY>SELECT T2.name FROM Friend AS T1 JOIN Highschooler AS T2 ON T1.student_id  =  T2.id WHERE T2.grade  >  5 GROUP BY T1.student_id HAVING count(*)  >=  2</SQL_QUERY>

Question: SELECT T2.name FROM Friend AS T1 JOIN Highschooler AS T2 ON T1.student_id  =  T2.id WHERE T2.grade  >  5 GROUP BY T1.student_id HAVING count(*)  >=  2

Question: What are the names of high schoolers who have a grade of over 5 and have 2 or more friends?


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)]: | network_1 |  Highschooler : id (text) , name (number) , grade (text) | Friend : student_id (text) , friend_id (number) | Likes : student_id (text) , liked_id (number);</schema>"
<primary_keys>[Primary Keys]: highschooler : id, friend : student_id, likes : student_id</primary_keys>"
<foreign_keys>[Foreign Keys]: friend : friend_id = highschooler : id | friend : student_id = highschooler : id | likes : student_id = highschooler : id | likes : liked_id = highschooler : id</foreign_keys>"
Answer the following question with a SQL Statement:<question>How many likes does Kyle have?</question>
[SQL]:

Output: <SQL_QUERY>SELECT count(*) FROM Likes AS T1 JOIN Highschooler AS T2 ON T1.student_id  =  T2.id WHERE T2.name  =  "Kyle"</SQL_QUERY>

Question: SELECT count(*) FROM Likes AS T1 JOIN Highschooler AS T2 ON T1.student_id  =  T2.id WHERE T2.name  =  "Kyle"

Question: How many likes does Kyle have?


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)]: | network_1 |  Highschooler : id (text) , name (number) , grade (text) | Friend : student_id (text) , friend_id (number) | Likes : student_id (text) , liked_id (number);</schema>"
<primary_keys>[Primary Keys]: highschooler : id, friend : student_id, likes : student_id</primary_keys>"
<foreign_keys>[Foreign Keys]: friend : friend_id = highschooler : id | friend : student_id = highschooler : id | likes : student_id = highschooler : id | likes : liked_id = highschooler : id</foreign_keys>"
Answer the following question with a SQL Statement:<question>Return the number of likes that the high schooler named Kyle has.</question>
[SQL]:

Output: <SQL_QUERY>SELECT count(*) FROM Likes AS T1 JOIN Highschooler AS T2 ON T1.student_id  =  T2.id WHERE T2.name  =  "Kyle"</SQL_QUERY>

Question: SELECT count(*) FROM Likes AS T1 JOIN Highschooler AS T2 ON T1.student_id  =  T2.id WHERE T2.name  =  "Kyle"

Question: Return the number of likes that the high schooler named Kyle has.


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)]: | network_1 |  Highschooler : id (text) , name (number) , grade (text) | Friend : student_id (text) , friend_id (number) | Likes : student_id (text) , liked_id (number);</schema>"
<primary_keys>[Primary Keys]: highschooler : id, friend : student_id, likes : student_id</primary_keys>"
<foreign_keys>[Foreign Keys]: friend : friend_id = highschooler : id | friend : student_id = highschooler : id | likes : student_id = highschooler : id | likes : liked_id = highschooler : id</foreign_keys>"
Answer the following question with a SQL Statement:<question>Find the average grade of all students who have some friends.</question>
[SQL]:

Output: <SQL_QUERY>SELECT avg(grade) FROM Highschooler WHERE id IN (SELECT T1.student_id FROM Friend AS T1 JOIN Highschooler AS T2 ON T1.student_id  =  T2.id)</SQL_QUERY>

Question: SELECT avg(grade) FROM Highschooler WHERE id IN (SELECT T1.student_id FROM Friend AS T1 JOIN Highschooler AS T2 ON T1.student_id  =  T2.id)

Question: Find the average grade of all students who have some friends.


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)]: | network_1 |  Highschooler : id (text) , name (number) , grade (text) | Friend : student_id (text) , friend_id (number) | Likes : student_id (text) , liked_id (number);</schema>"
<primary_keys>[Primary Keys]: highschooler : id, friend : student_id, likes : student_id</primary_keys>"
<foreign_keys>[Foreign Keys]: friend : friend_id = highschooler : id | friend : student_id = highschooler : id | likes : student_id = highschooler : id | likes : liked_id = highschooler : id</foreign_keys>"
Answer the following question with a SQL Statement:<question>What is the average grade of students who have friends?</question>
[SQL]:

Output: <SQL_QUERY>SELECT avg(grade) FROM Highschooler WHERE id IN (SELECT T1.student_id FROM Friend AS T1 JOIN Highschooler AS T2 ON T1.student_id  =  T2.id)</SQL_QUERY>

Question: SELECT avg(grade) FROM Highschooler WHERE id IN (SELECT T1.student_id FROM Friend AS T1 JOIN Highschooler AS T2 ON T1.student_id  =  T2.id)

Question: What is the average grade of students who have friends?


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)]: | network_1 |  Highschooler : id (text) , name (number) , grade (text) | Friend : student_id (text) , friend_id (number) | Likes : student_id (text) , liked_id (number);</schema>"
<primary_keys>[Primary Keys]: highschooler : id, friend : student_id, likes : student_id</primary_keys>"
<foreign_keys>[Foreign Keys]: friend : friend_id = highschooler : id | friend : student_id = highschooler : id | likes : student_id = highschooler : id | likes : liked_id = highschooler : id</foreign_keys>"
Answer the following question with a SQL Statement:<question>Find the minimum grade of students who have no friends.</question>
[SQL]:

Output: <SQL_QUERY>SELECT min(grade) FROM Highschooler WHERE id NOT IN (SELECT T1.student_id FROM Friend AS T1 JOIN Highschooler AS T2 ON T1.student_id  =  T2.id)</SQL_QUERY>

Question: SELECT min(grade) FROM Highschooler WHERE id NOT IN (SELECT T1.student_id FROM Friend AS T1 JOIN Highschooler AS T2 ON T1.student_id  =  T2.id)

Question: Find the minimum grade of students who have no friends.


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)]: | network_1 |  Highschooler : id (text) , name (number) , grade (text) | Friend : student_id (text) , friend_id (number) | Likes : student_id (text) , liked_id (number);</schema>"
<primary_keys>[Primary Keys]: highschooler : id, friend : student_id, likes : student_id</primary_keys>"
<foreign_keys>[Foreign Keys]: friend : friend_id = highschooler : id | friend : student_id = highschooler : id | likes : student_id = highschooler : id | likes : liked_id = highschooler : id</foreign_keys>"
Answer the following question with a SQL Statement:<question>What is the lowest grade of students who do not have any friends?</question>
[SQL]:

Output: <SQL_QUERY>SELECT min(grade) FROM Highschooler WHERE id NOT IN (SELECT T1.student_id FROM Friend AS T1 JOIN Highschooler AS T2 ON T1.student_id  =  T2.id)</SQL_QUERY>

Question: SELECT min(grade) FROM Highschooler WHERE id NOT IN (SELECT T1.student_id FROM Friend AS T1 JOIN Highschooler AS T2 ON T1.student_id  =  T2.id)

Question: What is the lowest grade of students who do not have any friends?


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 states have both owners and professionals living there?</question>
[SQL]:

Output: <SQL_QUERY>SELECT state FROM Owners INTERSECT SELECT state FROM Professionals</SQL_QUERY>

Question: SELECT state FROM Owners INTERSECT SELECT state FROM Professionals

Question: Which states have both owners and professionals living there?


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 states where both owners and professionals live.</question>
[SQL]:

Output: <SQL_QUERY>SELECT state FROM Owners INTERSECT SELECT state FROM Professionals</SQL_QUERY>

Question: SELECT state FROM Owners INTERSECT SELECT state FROM Professionals

Question: Find the states where both owners and professionals live.


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 is the average age of the dogs who have gone through any treatments?</question>
[SQL]:

Output: <SQL_QUERY>SELECT avg(age) FROM Dogs WHERE dog_id IN ( SELECT dog_id FROM Treatments )</SQL_QUERY>

Question: SELECT avg(age) FROM Dogs WHERE dog_id IN ( SELECT dog_id FROM Treatments )

Question: What is the average age of the dogs who have gone 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>Find the average age of the dogs who went through treatments.</question>
[SQL]:

Output: <SQL_QUERY>SELECT avg(age) FROM Dogs WHERE dog_id IN ( SELECT dog_id FROM Treatments )</SQL_QUERY>

Question: SELECT avg(age) FROM Dogs WHERE dog_id IN ( SELECT dog_id FROM Treatments )

Question: Find the average age of the dogs who went through 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>Which professionals live in the state of Indiana or have done treatment on more than 2 treatments? List his or her id, last name and cell phone.</question>
[SQL]:

Output: <SQL_QUERY>SELECT professional_id ,  last_name ,  cell_number FROM Professionals WHERE state  =  'Indiana' UNION SELECT T1.professional_id ,  T1.last_name ,  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 professional_id ,  last_name ,  cell_number FROM Professionals WHERE state  =  'Indiana' UNION SELECT T1.professional_id ,  T1.last_name ,  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 live in the state of Indiana or have done treatment on more than 2 treatments? List his or her id, last name 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, last name and cell phone of the professionals who live in the state of Indiana or have performed more than two treatments.</question>
[SQL]:

Output: <SQL_QUERY>SELECT professional_id ,  last_name ,  cell_number FROM Professionals WHERE state  =  'Indiana' UNION SELECT T1.professional_id ,  T1.last_name ,  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 professional_id ,  last_name ,  cell_number FROM Professionals WHERE state  =  'Indiana' UNION SELECT T1.professional_id ,  T1.last_name ,  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, last name and cell phone of the professionals who live in the state of Indiana or have performed more than two 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>Which dogs have not cost their owner more than 1000 for treatment ? List the dog names .</question>
[SQL]:

Output: <SQL_QUERY>select name from dogs where dog_id not in ( select dog_id from treatments group by dog_id having sum(cost_of_treatment)  >  1000 )</SQL_QUERY>

Question: select name from dogs where dog_id not in ( select dog_id from treatments group by dog_id having sum(cost_of_treatment)  >  1000 )

Question: Which dogs have not cost their owner more than 1000 for treatment ? List the dog 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>What are the names of the dogs for which the owner has not spend more than 1000 for treatment ?</question>
[SQL]:

Output: <SQL_QUERY>select name from dogs where dog_id not in ( select dog_id from treatments group by dog_id having sum(cost_of_treatment)  >  1000 )</SQL_QUERY>

Question: select name from dogs where dog_id not in ( select dog_id from treatments group by dog_id having sum(cost_of_treatment)  >  1000 )

Question: What are the names of the dogs for which the owner has not spend more than 1000 for 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>Which first names are used for professionals or owners but are not used as dog names?</question>
[SQL]:

Output: <SQL_QUERY>SELECT first_name FROM Professionals UNION SELECT first_name FROM Owners EXCEPT SELECT name FROM Dogs</SQL_QUERY>

Question: SELECT first_name FROM Professionals UNION SELECT first_name FROM Owners EXCEPT SELECT name FROM Dogs

Question: Which first names are used for professionals or owners but are not used as dog 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>Find the first names that are used for professionals or owners but are not used as dog names.</question>
[SQL]:

Output: <SQL_QUERY>SELECT first_name FROM Professionals UNION SELECT first_name FROM Owners EXCEPT SELECT name FROM Dogs</SQL_QUERY>

Question: SELECT first_name FROM Professionals UNION SELECT first_name FROM Owners EXCEPT SELECT name FROM Dogs

Question: Find the first names that are used for professionals or owners but are not used as dog 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>Which professional did not operate any treatment on dogs? List the professional's id, role and email.</question>
[SQL]:

Output: <SQL_QUERY>SELECT professional_id ,  role_code ,  email_address FROM Professionals EXCEPT SELECT T1.professional_id ,  T1.role_code ,  T1.email_address FROM Professionals AS T1 JOIN Treatments AS T2 ON T1.professional_id  =  T2.professional_id</SQL_QUERY>

Question: SELECT professional_id ,  role_code ,  email_address FROM Professionals EXCEPT SELECT T1.professional_id ,  T1.role_code ,  T1.email_address FROM Professionals AS T1 JOIN Treatments AS T2 ON T1.professional_id  =  T2.professional_id

Question: Which professional did not operate any treatment on dogs? List the professional's id, role 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>Give me the id, role and email of the professionals who did not perform any treatment on dogs.</question>
[SQL]:

Output: <SQL_QUERY>SELECT professional_id ,  role_code ,  email_address FROM Professionals EXCEPT SELECT T1.professional_id ,  T1.role_code ,  T1.email_address FROM Professionals AS T1 JOIN Treatments AS T2 ON T1.professional_id  =  T2.professional_id</SQL_QUERY>

Question: SELECT professional_id ,  role_code ,  email_address FROM Professionals EXCEPT SELECT T1.professional_id ,  T1.role_code ,  T1.email_address FROM Professionals AS T1 JOIN Treatments AS T2 ON T1.professional_id  =  T2.professional_id

Question: Give me the id, role and email of the professionals who did not perform any treatment on 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 owner owns the most dogs? List the owner id, first name and last name.</question>
[SQL]:

Output: <SQL_QUERY>SELECT T1.owner_id ,  T2.first_name ,  T2.last_name FROM Dogs AS T1 JOIN Owners AS T2 ON T1.owner_id  =  T2.owner_id GROUP BY T1.owner_id ORDER BY count(*) DESC LIMIT 1</SQL_QUERY>

Question: SELECT T1.owner_id ,  T2.first_name ,  T2.last_name FROM Dogs AS T1 JOIN Owners AS T2 ON T1.owner_id  =  T2.owner_id GROUP BY T1.owner_id ORDER BY count(*) DESC LIMIT 1

Question: Which owner owns the most dogs? List the owner id, first name and 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>Return the owner id, first name and last name of the owner who has the most dogs.</question>
[SQL]:

Output: <SQL_QUERY>SELECT T1.owner_id ,  T2.first_name ,  T2.last_name FROM Dogs AS T1 JOIN Owners AS T2 ON T1.owner_id  =  T2.owner_id GROUP BY T1.owner_id ORDER BY count(*) DESC LIMIT 1</SQL_QUERY>

Question: SELECT T1.owner_id ,  T2.first_name ,  T2.last_name FROM Dogs AS T1 JOIN Owners AS T2 ON T1.owner_id  =  T2.owner_id GROUP BY T1.owner_id ORDER BY count(*) DESC LIMIT 1

Question: Return the owner id, first name and last name of the owner who has the most 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 treatments? List the professional's id, role, and first name.</question>
[SQL]:

Output: <SQL_QUERY>SELECT T1.professional_id ,  T1.role_code ,  T1.first_name 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.role_code ,  T1.first_name 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 treatments? List the professional's id, role, and first 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 the id, role, and first name of the professionals who have performed two or more treatments?</question>
[SQL]:

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

Question: What are the id, role, and first name of the professionals who have performed two or more 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 is the name of the breed with the most dogs?</question>
[SQL]:

Output: <SQL_QUERY>SELECT T1.breed_name FROM Breeds AS T1 JOIN Dogs AS T2 ON T1.breed_code  =  T2.breed_code GROUP BY T1.breed_name ORDER BY count(*) DESC LIMIT 1</SQL_QUERY>

Question: SELECT T1.breed_name FROM Breeds AS T1 JOIN Dogs AS T2 ON T1.breed_code  =  T2.breed_code GROUP BY T1.breed_name ORDER BY count(*) DESC LIMIT 1

Question: What is the name of the breed with the most 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 breed do the most dogs have? Give me the breed name.</question>
[SQL]:

Output: <SQL_QUERY>SELECT T1.breed_name FROM Breeds AS T1 JOIN Dogs AS T2 ON T1.breed_code  =  T2.breed_code GROUP BY T1.breed_name ORDER BY count(*) DESC LIMIT 1</SQL_QUERY>

Question: SELECT T1.breed_name FROM Breeds AS T1 JOIN Dogs AS T2 ON T1.breed_code  =  T2.breed_code GROUP BY T1.breed_name ORDER BY count(*) DESC LIMIT 1

Question: Which breed do the most dogs have? Give me the breed 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>Which owner has paid for the most treatments on his or her dogs? List the owner id and last name.</question>
[SQL]:

Output: <SQL_QUERY>SELECT T1.owner_id ,  T1.last_name 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 count(*) DESC LIMIT 1</SQL_QUERY>

Question: SELECT T1.owner_id ,  T1.last_name 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 count(*) DESC LIMIT 1

Question: Which owner has paid for the most treatments on his or her dogs? List the owner id and 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>Tell me the owner id and last name of the owner who spent the most on treatments of his or her dogs.</question>
[SQL]:

Output: <SQL_QUERY>SELECT T1.owner_id ,  T1.last_name 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 count(*) DESC LIMIT 1</SQL_QUERY>

Question: SELECT T1.owner_id ,  T1.last_name 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 count(*) DESC LIMIT 1

Question: Tell me the owner id and last name of the owner who spent the most on treatments of 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>What is the description of the treatment type that costs the least money in total?</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: What is the description of the treatment type that costs the least money in total?