input stringlengths 667 7.62k | output stringlengths 41 600 | db_id stringlengths 3 31 | query stringlengths 18 577 | question stringlengths 3 224 | schema stringlengths 177 6.14k | primary_keys stringlengths 16 545 | foreign_keys stringlengths 16 1.48k |
|---|---|---|---|---|---|---|---|
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number);</schema>"
<primary_keys>[Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name</primary_keys>"
<foreign_keys>[Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name</foreign_keys>"
Answer the following question with a SQL Statement:<question>which us city has the highest population density</question>
[SQL]:
| <SQL_QUERY>SELECT city_name FROM city WHERE population = ( SELECT MAX ( population ) FROM city );</SQL_QUERY> | geo | SELECT city_name FROM city WHERE population = ( SELECT MAX ( population ) FROM city ); | which us city has the highest population density | [Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number); | [Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name | [Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number);</schema>"
<primary_keys>[Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name</primary_keys>"
<foreign_keys>[Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name</foreign_keys>"
Answer the following question with a SQL Statement:<question>what is the biggest city in the usa</question>
[SQL]:
| <SQL_QUERY>SELECT city_name FROM city WHERE population = ( SELECT MAX ( population ) FROM city );</SQL_QUERY> | geo | SELECT city_name FROM city WHERE population = ( SELECT MAX ( population ) FROM city ); | what is the biggest city in the usa | [Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number); | [Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name | [Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number);</schema>"
<primary_keys>[Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name</primary_keys>"
<foreign_keys>[Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name</foreign_keys>"
Answer the following question with a SQL Statement:<question>whats the largest city</question>
[SQL]:
| <SQL_QUERY>SELECT city_name FROM city WHERE population = ( SELECT MAX ( population ) FROM city );</SQL_QUERY> | geo | SELECT city_name FROM city WHERE population = ( SELECT MAX ( population ) FROM city ); | whats the largest city | [Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number); | [Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name | [Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number);</schema>"
<primary_keys>[Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name</primary_keys>"
<foreign_keys>[Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name</foreign_keys>"
Answer the following question with a SQL Statement:<question>what city has the largest population</question>
[SQL]:
| <SQL_QUERY>SELECT city_name FROM city WHERE population = ( SELECT MAX ( population ) FROM city );</SQL_QUERY> | geo | SELECT city_name FROM city WHERE population = ( SELECT MAX ( population ) FROM city ); | what city has the largest population | [Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number); | [Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name | [Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number);</schema>"
<primary_keys>[Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name</primary_keys>"
<foreign_keys>[Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name</foreign_keys>"
Answer the following question with a SQL Statement:<question>what is the biggest city in the us</question>
[SQL]:
| <SQL_QUERY>SELECT city_name FROM city WHERE population = ( SELECT MAX ( population ) FROM city );</SQL_QUERY> | geo | SELECT city_name FROM city WHERE population = ( SELECT MAX ( population ) FROM city ); | what is the biggest city in the us | [Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number); | [Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name | [Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number);</schema>"
<primary_keys>[Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name</primary_keys>"
<foreign_keys>[Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name</foreign_keys>"
Answer the following question with a SQL Statement:<question>what is the biggest city in usa</question>
[SQL]:
| <SQL_QUERY>SELECT city_name FROM city WHERE population = ( SELECT MAX ( population ) FROM city );</SQL_QUERY> | geo | SELECT city_name FROM city WHERE population = ( SELECT MAX ( population ) FROM city ); | what is the biggest city in usa | [Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number); | [Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name | [Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number);</schema>"
<primary_keys>[Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name</primary_keys>"
<foreign_keys>[Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name</foreign_keys>"
Answer the following question with a SQL Statement:<question>what is the biggest capital city in the us</question>
[SQL]:
| <SQL_QUERY>SELECT city_name FROM city WHERE population = ( SELECT MAX ( t1.population ) FROM state AS t2 JOIN city AS t1 ON t2.capital = t1.city_name );</SQL_QUERY> | geo | SELECT city_name FROM city WHERE population = ( SELECT MAX ( t1.population ) FROM state AS t2 JOIN city AS t1 ON t2.capital = t1.city_name ); | what is the biggest capital city in the us | [Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number); | [Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name | [Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number);</schema>"
<primary_keys>[Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name</primary_keys>"
<foreign_keys>[Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name</foreign_keys>"
Answer the following question with a SQL Statement:<question>what is the largest capital city in the usa</question>
[SQL]:
| <SQL_QUERY>SELECT city_name FROM city WHERE population = ( SELECT MAX ( t1.population ) FROM state AS t2 JOIN city AS t1 ON t2.capital = t1.city_name );</SQL_QUERY> | geo | SELECT city_name FROM city WHERE population = ( SELECT MAX ( t1.population ) FROM state AS t2 JOIN city AS t1 ON t2.capital = t1.city_name ); | what is the largest capital city in the usa | [Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number); | [Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name | [Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number);</schema>"
<primary_keys>[Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name</primary_keys>"
<foreign_keys>[Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name</foreign_keys>"
Answer the following question with a SQL Statement:<question>what is the largest state capital in population</question>
[SQL]:
| <SQL_QUERY>SELECT city_name FROM city WHERE population = ( SELECT MAX ( t1.population ) FROM state AS t2 JOIN city AS t1 ON t2.capital = t1.city_name );</SQL_QUERY> | geo | SELECT city_name FROM city WHERE population = ( SELECT MAX ( t1.population ) FROM state AS t2 JOIN city AS t1 ON t2.capital = t1.city_name ); | what is the largest state capital in population | [Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number); | [Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name | [Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number);</schema>"
<primary_keys>[Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name</primary_keys>"
<foreign_keys>[Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name</foreign_keys>"
Answer the following question with a SQL Statement:<question>what is the largest capital</question>
[SQL]:
| <SQL_QUERY>SELECT city_name FROM city WHERE population = ( SELECT MAX ( t1.population ) FROM state AS t2 JOIN city AS t1 ON t2.capital = t1.city_name );</SQL_QUERY> | geo | SELECT city_name FROM city WHERE population = ( SELECT MAX ( t1.population ) FROM state AS t2 JOIN city AS t1 ON t2.capital = t1.city_name ); | what is the largest capital | [Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number); | [Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name | [Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number);</schema>"
<primary_keys>[Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name</primary_keys>"
<foreign_keys>[Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name</foreign_keys>"
Answer the following question with a SQL Statement:<question>what is the most populated capital in the usa</question>
[SQL]:
| <SQL_QUERY>SELECT city_name FROM city WHERE population = ( SELECT MAX ( t1.population ) FROM state AS t2 JOIN city AS t1 ON t2.capital = t1.city_name );</SQL_QUERY> | geo | SELECT city_name FROM city WHERE population = ( SELECT MAX ( t1.population ) FROM state AS t2 JOIN city AS t1 ON t2.capital = t1.city_name ); | what is the most populated capital in the usa | [Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number); | [Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name | [Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number);</schema>"
<primary_keys>[Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name</primary_keys>"
<foreign_keys>[Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name</foreign_keys>"
Answer the following question with a SQL Statement:<question>what capital is the largest in the us</question>
[SQL]:
| <SQL_QUERY>SELECT city_name FROM city WHERE population = ( SELECT MAX ( t1.population ) FROM state AS t2 JOIN city AS t1 ON t2.capital = t1.city_name );</SQL_QUERY> | geo | SELECT city_name FROM city WHERE population = ( SELECT MAX ( t1.population ) FROM state AS t2 JOIN city AS t1 ON t2.capital = t1.city_name ); | what capital is the largest in the us | [Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number); | [Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name | [Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number);</schema>"
<primary_keys>[Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name</primary_keys>"
<foreign_keys>[Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name</foreign_keys>"
Answer the following question with a SQL Statement:<question>what capital has the largest population</question>
[SQL]:
| <SQL_QUERY>SELECT city_name FROM city WHERE population = ( SELECT MAX ( t1.population ) FROM state AS t2 JOIN city AS t1 ON t2.capital = t1.city_name );</SQL_QUERY> | geo | SELECT city_name FROM city WHERE population = ( SELECT MAX ( t1.population ) FROM state AS t2 JOIN city AS t1 ON t2.capital = t1.city_name ); | what capital has the largest population | [Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number); | [Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name | [Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number);</schema>"
<primary_keys>[Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name</primary_keys>"
<foreign_keys>[Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name</foreign_keys>"
Answer the following question with a SQL Statement:<question>what is largest capital</question>
[SQL]:
| <SQL_QUERY>SELECT city_name FROM city WHERE population = ( SELECT MAX ( t1.population ) FROM state AS t2 JOIN city AS t1 ON t2.capital = t1.city_name );</SQL_QUERY> | geo | SELECT city_name FROM city WHERE population = ( SELECT MAX ( t1.population ) FROM state AS t2 JOIN city AS t1 ON t2.capital = t1.city_name ); | what is largest capital | [Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number); | [Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name | [Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number);</schema>"
<primary_keys>[Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name</primary_keys>"
<foreign_keys>[Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name</foreign_keys>"
Answer the following question with a SQL Statement:<question>what is the capital of states that have cities named durham</question>
[SQL]:
| <SQL_QUERY>SELECT t2.capital FROM state AS t2 JOIN city AS t1 ON t2.state_name = t1.state_name WHERE t1.city_name = "durham";</SQL_QUERY> | geo | SELECT t2.capital FROM state AS t2 JOIN city AS t1 ON t2.state_name = t1.state_name WHERE t1.city_name = "durham"; | what is the capital of states that have cities named durham | [Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number); | [Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name | [Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number);</schema>"
<primary_keys>[Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name</primary_keys>"
<foreign_keys>[Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name</foreign_keys>"
Answer the following question with a SQL Statement:<question>what is the capital of the smallest state</question>
[SQL]:
| <SQL_QUERY>SELECT capital FROM state WHERE area = ( SELECT MIN ( area ) FROM state );</SQL_QUERY> | geo | SELECT capital FROM state WHERE area = ( SELECT MIN ( area ) FROM state ); | what is the capital of the smallest state | [Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number); | [Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name | [Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number);</schema>"
<primary_keys>[Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name</primary_keys>"
<foreign_keys>[Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name</foreign_keys>"
Answer the following question with a SQL Statement:<question>what is the capital of the state with the largest population density</question>
[SQL]:
| <SQL_QUERY>SELECT DISTINCT capital FROM state WHERE density = ( SELECT MAX ( density ) FROM state );</SQL_QUERY> | geo | SELECT DISTINCT capital FROM state WHERE density = ( SELECT MAX ( density ) FROM state ); | what is the capital of the state with the largest population density | [Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number); | [Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name | [Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number);</schema>"
<primary_keys>[Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name</primary_keys>"
<foreign_keys>[Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name</foreign_keys>"
Answer the following question with a SQL Statement:<question>what is the capital of the state with the largest population</question>
[SQL]:
| <SQL_QUERY>SELECT capital FROM state WHERE population = ( SELECT MAX ( population ) FROM state );</SQL_QUERY> | geo | SELECT capital FROM state WHERE population = ( SELECT MAX ( population ) FROM state ); | what is the capital of the state with the largest population | [Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number); | [Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name | [Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number);</schema>"
<primary_keys>[Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name</primary_keys>"
<foreign_keys>[Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name</foreign_keys>"
Answer the following question with a SQL Statement:<question>what is the capital of the state with the most inhabitants</question>
[SQL]:
| <SQL_QUERY>SELECT capital FROM state WHERE population = ( SELECT MAX ( population ) FROM state );</SQL_QUERY> | geo | SELECT capital FROM state WHERE population = ( SELECT MAX ( population ) FROM state ); | what is the capital of the state with the most inhabitants | [Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number); | [Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name | [Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number);</schema>"
<primary_keys>[Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name</primary_keys>"
<foreign_keys>[Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name</foreign_keys>"
Answer the following question with a SQL Statement:<question>what is the capital of the state with the longest river</question>
[SQL]:
| <SQL_QUERY>SELECT capital FROM state WHERE state_name IN ( SELECT traverse FROM river WHERE LENGTH = ( SELECT MAX ( LENGTH ) FROM river ) );</SQL_QUERY> | geo | SELECT capital FROM state WHERE state_name IN ( SELECT traverse FROM river WHERE LENGTH = ( SELECT MAX ( LENGTH ) FROM river ) ); | what is the capital of the state with the longest river | [Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number); | [Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name | [Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number);</schema>"
<primary_keys>[Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name</primary_keys>"
<foreign_keys>[Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name</foreign_keys>"
Answer the following question with a SQL Statement:<question>what is the combined area of all 50 states</question>
[SQL]:
| <SQL_QUERY>SELECT SUM ( area ) FROM state;</SQL_QUERY> | geo | SELECT SUM ( area ) FROM state; | what is the combined area of all 50 states | [Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number); | [Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name | [Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number);</schema>"
<primary_keys>[Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name</primary_keys>"
<foreign_keys>[Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name</foreign_keys>"
Answer the following question with a SQL Statement:<question>what is the area of all the states combined</question>
[SQL]:
| <SQL_QUERY>SELECT SUM ( area ) FROM state;</SQL_QUERY> | geo | SELECT SUM ( area ) FROM state; | what is the area of all the states combined | [Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number); | [Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name | [Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number);</schema>"
<primary_keys>[Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name</primary_keys>"
<foreign_keys>[Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name</foreign_keys>"
Answer the following question with a SQL Statement:<question>how many square kilometers in the us</question>
[SQL]:
| <SQL_QUERY>SELECT SUM ( area ) FROM state;</SQL_QUERY> | geo | SELECT SUM ( area ) FROM state; | how many square kilometers in the us | [Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number); | [Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name | [Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number);</schema>"
<primary_keys>[Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name</primary_keys>"
<foreign_keys>[Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name</foreign_keys>"
Answer the following question with a SQL Statement:<question>what is the total area of the usa</question>
[SQL]:
| <SQL_QUERY>SELECT SUM ( area ) FROM state;</SQL_QUERY> | geo | SELECT SUM ( area ) FROM state; | what is the total area of the usa | [Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number); | [Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name | [Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number);</schema>"
<primary_keys>[Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name</primary_keys>"
<foreign_keys>[Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name</foreign_keys>"
Answer the following question with a SQL Statement:<question>what is the density of the wyoming</question>
[SQL]:
| <SQL_QUERY>SELECT density FROM state WHERE state_name = "wyoming";</SQL_QUERY> | geo | SELECT density FROM state WHERE state_name = "wyoming"; | what is the density of the wyoming | [Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number); | [Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name | [Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number);</schema>"
<primary_keys>[Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name</primary_keys>"
<foreign_keys>[Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name</foreign_keys>"
Answer the following question with a SQL Statement:<question>what is the population density of wyoming</question>
[SQL]:
| <SQL_QUERY>SELECT density FROM state WHERE state_name = "wyoming";</SQL_QUERY> | geo | SELECT density FROM state WHERE state_name = "wyoming"; | what is the population density of wyoming | [Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number); | [Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name | [Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number);</schema>"
<primary_keys>[Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name</primary_keys>"
<foreign_keys>[Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name</foreign_keys>"
Answer the following question with a SQL Statement:<question>what is the density of wyoming</question>
[SQL]:
| <SQL_QUERY>SELECT density FROM state WHERE state_name = "wyoming";</SQL_QUERY> | geo | SELECT density FROM state WHERE state_name = "wyoming"; | what is the density of wyoming | [Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number); | [Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name | [Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number);</schema>"
<primary_keys>[Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name</primary_keys>"
<foreign_keys>[Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name</foreign_keys>"
Answer the following question with a SQL Statement:<question>what is the highest mountain in the us</question>
[SQL]:
| <SQL_QUERY>SELECT mountain_name FROM mountain WHERE mountain_altitude = ( SELECT MAX ( mountain_altitude ) FROM mountain );</SQL_QUERY> | geo | SELECT mountain_name FROM mountain WHERE mountain_altitude = ( SELECT MAX ( mountain_altitude ) FROM mountain ); | what is the highest mountain in the us | [Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number); | [Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name | [Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number);</schema>"
<primary_keys>[Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name</primary_keys>"
<foreign_keys>[Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name</foreign_keys>"
Answer the following question with a SQL Statement:<question>what is the highest mountain in us</question>
[SQL]:
| <SQL_QUERY>SELECT mountain_name FROM mountain WHERE mountain_altitude = ( SELECT MAX ( mountain_altitude ) FROM mountain );</SQL_QUERY> | geo | SELECT mountain_name FROM mountain WHERE mountain_altitude = ( SELECT MAX ( mountain_altitude ) FROM mountain ); | what is the highest mountain in us | [Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number); | [Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name | [Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number);</schema>"
<primary_keys>[Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name</primary_keys>"
<foreign_keys>[Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name</foreign_keys>"
Answer the following question with a SQL Statement:<question>what is the tallest mountain in america</question>
[SQL]:
| <SQL_QUERY>SELECT mountain_name FROM mountain WHERE mountain_altitude = ( SELECT MAX ( mountain_altitude ) FROM mountain );</SQL_QUERY> | geo | SELECT mountain_name FROM mountain WHERE mountain_altitude = ( SELECT MAX ( mountain_altitude ) FROM mountain ); | what is the tallest mountain in america | [Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number); | [Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name | [Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number);</schema>"
<primary_keys>[Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name</primary_keys>"
<foreign_keys>[Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name</foreign_keys>"
Answer the following question with a SQL Statement:<question>what is the tallest mountain in the united states</question>
[SQL]:
| <SQL_QUERY>SELECT mountain_name FROM mountain WHERE mountain_altitude = ( SELECT MAX ( mountain_altitude ) FROM mountain );</SQL_QUERY> | geo | SELECT mountain_name FROM mountain WHERE mountain_altitude = ( SELECT MAX ( mountain_altitude ) FROM mountain ); | what is the tallest mountain in the united states | [Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number); | [Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name | [Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number);</schema>"
<primary_keys>[Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name</primary_keys>"
<foreign_keys>[Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name</foreign_keys>"
Answer the following question with a SQL Statement:<question>what is the highest point in the state with capital des moines</question>
[SQL]:
| <SQL_QUERY>SELECT highest_point FROM highlow WHERE state_name IN ( SELECT state_name FROM state WHERE capital = "des moines" );</SQL_QUERY> | geo | SELECT highest_point FROM highlow WHERE state_name IN ( SELECT state_name FROM state WHERE capital = "des moines" ); | what is the highest point in the state with capital des moines | [Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number); | [Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name | [Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number);</schema>"
<primary_keys>[Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name</primary_keys>"
<foreign_keys>[Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name</foreign_keys>"
Answer the following question with a SQL Statement:<question>what is the highest point in the state with the capital des moines</question>
[SQL]:
| <SQL_QUERY>SELECT highest_point FROM highlow WHERE state_name IN ( SELECT state_name FROM state WHERE capital = "des moines" );</SQL_QUERY> | geo | SELECT highest_point FROM highlow WHERE state_name IN ( SELECT state_name FROM state WHERE capital = "des moines" ); | what is the highest point in the state with the capital des moines | [Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number); | [Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name | [Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number);</schema>"
<primary_keys>[Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name</primary_keys>"
<foreign_keys>[Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name</foreign_keys>"
Answer the following question with a SQL Statement:<question>what is the highest point in the usa</question>
[SQL]:
| <SQL_QUERY>SELECT highest_point FROM highlow WHERE highest_elevation = ( SELECT MAX ( highest_elevation ) FROM highlow );</SQL_QUERY> | geo | SELECT highest_point FROM highlow WHERE highest_elevation = ( SELECT MAX ( highest_elevation ) FROM highlow ); | what is the highest point in the usa | [Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number); | [Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name | [Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number);</schema>"
<primary_keys>[Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name</primary_keys>"
<foreign_keys>[Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name</foreign_keys>"
Answer the following question with a SQL Statement:<question>what is the highest point of the usa</question>
[SQL]:
| <SQL_QUERY>SELECT highest_point FROM highlow WHERE highest_elevation = ( SELECT MAX ( highest_elevation ) FROM highlow );</SQL_QUERY> | geo | SELECT highest_point FROM highlow WHERE highest_elevation = ( SELECT MAX ( highest_elevation ) FROM highlow ); | what is the highest point of the usa | [Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number); | [Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name | [Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number);</schema>"
<primary_keys>[Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name</primary_keys>"
<foreign_keys>[Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name</foreign_keys>"
Answer the following question with a SQL Statement:<question>what is the highest point in the country</question>
[SQL]:
| <SQL_QUERY>SELECT highest_point FROM highlow WHERE highest_elevation = ( SELECT MAX ( highest_elevation ) FROM highlow );</SQL_QUERY> | geo | SELECT highest_point FROM highlow WHERE highest_elevation = ( SELECT MAX ( highest_elevation ) FROM highlow ); | what is the highest point in the country | [Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number); | [Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name | [Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number);</schema>"
<primary_keys>[Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name</primary_keys>"
<foreign_keys>[Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name</foreign_keys>"
Answer the following question with a SQL Statement:<question>what is the highest point in the us</question>
[SQL]:
| <SQL_QUERY>SELECT highest_point FROM highlow WHERE highest_elevation = ( SELECT MAX ( highest_elevation ) FROM highlow );</SQL_QUERY> | geo | SELECT highest_point FROM highlow WHERE highest_elevation = ( SELECT MAX ( highest_elevation ) FROM highlow ); | what is the highest point in the us | [Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number); | [Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name | [Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number);</schema>"
<primary_keys>[Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name</primary_keys>"
<foreign_keys>[Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name</foreign_keys>"
Answer the following question with a SQL Statement:<question>what is the highest point in the united states</question>
[SQL]:
| <SQL_QUERY>SELECT highest_point FROM highlow WHERE highest_elevation = ( SELECT MAX ( highest_elevation ) FROM highlow );</SQL_QUERY> | geo | SELECT highest_point FROM highlow WHERE highest_elevation = ( SELECT MAX ( highest_elevation ) FROM highlow ); | what is the highest point in the united states | [Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number); | [Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name | [Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number);</schema>"
<primary_keys>[Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name</primary_keys>"
<foreign_keys>[Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name</foreign_keys>"
Answer the following question with a SQL Statement:<question>what is the highest point of the state with the smallest population density</question>
[SQL]:
| <SQL_QUERY>SELECT highest_point FROM highlow WHERE state_name IN ( SELECT state_name FROM state WHERE density = ( SELECT MIN ( density ) FROM state ) );</SQL_QUERY> | geo | SELECT highest_point FROM highlow WHERE state_name IN ( SELECT state_name FROM state WHERE density = ( SELECT MIN ( density ) FROM state ) ); | what is the highest point of the state with the smallest population density | [Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number); | [Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name | [Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number);</schema>"
<primary_keys>[Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name</primary_keys>"
<foreign_keys>[Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name</foreign_keys>"
Answer the following question with a SQL Statement:<question>what is the largest city in smallest state through which the mississippi runs</question>
[SQL]:
| <SQL_QUERY>SELECT city_name FROM city WHERE state_name IN ( SELECT state_name FROM state WHERE state_name IN ( SELECT traverse FROM river WHERE river_name = "mississippi" ) AND area = ( SELECT MIN ( area ) FROM state WHERE state_name IN ( SELECT traverse FROM river WHERE river_name = "mississippi" ) ) ) ORDER BY population DESC LIMIT 1;</SQL_QUERY> | geo | SELECT city_name FROM city WHERE state_name IN ( SELECT state_name FROM state WHERE state_name IN ( SELECT traverse FROM river WHERE river_name = "mississippi" ) AND area = ( SELECT MIN ( area ) FROM state WHERE state_name IN ( SELECT traverse FROM river WHERE river_name = "mississippi" ) ) ) ORDER BY population DESC LIMIT 1; | what is the largest city in smallest state through which the mississippi runs | [Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number); | [Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name | [Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number);</schema>"
<primary_keys>[Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name</primary_keys>"
<foreign_keys>[Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name</foreign_keys>"
Answer the following question with a SQL Statement:<question>what is the largest city in the smallest state in the usa</question>
[SQL]:
| <SQL_QUERY>SELECT city_name FROM city WHERE population = ( SELECT MAX ( population ) FROM city WHERE state_name IN ( SELECT state_name FROM state WHERE area = ( SELECT MIN ( area ) FROM state ) ) ) AND state_name IN ( SELECT state_name FROM state WHERE area = ( SELECT MIN ( area ) FROM state ) );</SQL_QUERY> | geo | SELECT city_name FROM city WHERE population = ( SELECT MAX ( population ) FROM city WHERE state_name IN ( SELECT state_name FROM state WHERE area = ( SELECT MIN ( area ) FROM state ) ) ) AND state_name IN ( SELECT state_name FROM state WHERE area = ( SELECT MIN ( area ) FROM state ) ); | what is the largest city in the smallest state in the usa | [Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number); | [Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name | [Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number);</schema>"
<primary_keys>[Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name</primary_keys>"
<foreign_keys>[Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name</foreign_keys>"
Answer the following question with a SQL Statement:<question>what is the biggest city in the smallest state</question>
[SQL]:
| <SQL_QUERY>SELECT city_name FROM city WHERE population = ( SELECT MAX ( population ) FROM city WHERE state_name IN ( SELECT state_name FROM state WHERE area = ( SELECT MIN ( area ) FROM state ) ) ) AND state_name IN ( SELECT state_name FROM state WHERE area = ( SELECT MIN ( area ) FROM state ) );</SQL_QUERY> | geo | SELECT city_name FROM city WHERE population = ( SELECT MAX ( population ) FROM city WHERE state_name IN ( SELECT state_name FROM state WHERE area = ( SELECT MIN ( area ) FROM state ) ) ) AND state_name IN ( SELECT state_name FROM state WHERE area = ( SELECT MIN ( area ) FROM state ) ); | what is the biggest city in the smallest state | [Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number); | [Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name | [Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number);</schema>"
<primary_keys>[Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name</primary_keys>"
<foreign_keys>[Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name</foreign_keys>"
Answer the following question with a SQL Statement:<question>what is the largest state bordering california</question>
[SQL]:
| <SQL_QUERY>SELECT state_name FROM state WHERE area = ( SELECT MAX ( area ) FROM state WHERE state_name IN ( SELECT border FROM border_info WHERE state_name = "california" ) ) AND state_name IN ( SELECT border FROM border_info WHERE state_name = "california" );</SQL_QUERY> | geo | SELECT state_name FROM state WHERE area = ( SELECT MAX ( area ) FROM state WHERE state_name IN ( SELECT border FROM border_info WHERE state_name = "california" ) ) AND state_name IN ( SELECT border FROM border_info WHERE state_name = "california" ); | what is the largest state bordering california | [Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number); | [Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name | [Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number);</schema>"
<primary_keys>[Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name</primary_keys>"
<foreign_keys>[Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name</foreign_keys>"
Answer the following question with a SQL Statement:<question>what is the largest state that borders california</question>
[SQL]:
| <SQL_QUERY>SELECT state_name FROM state WHERE area = ( SELECT MAX ( area ) FROM state WHERE state_name IN ( SELECT border FROM border_info WHERE state_name = "california" ) ) AND state_name IN ( SELECT border FROM border_info WHERE state_name = "california" );</SQL_QUERY> | geo | SELECT state_name FROM state WHERE area = ( SELECT MAX ( area ) FROM state WHERE state_name IN ( SELECT border FROM border_info WHERE state_name = "california" ) ) AND state_name IN ( SELECT border FROM border_info WHERE state_name = "california" ); | what is the largest state that borders california | [Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number); | [Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name | [Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number);</schema>"
<primary_keys>[Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name</primary_keys>"
<foreign_keys>[Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name</foreign_keys>"
Answer the following question with a SQL Statement:<question>what state that borders california is the largest</question>
[SQL]:
| <SQL_QUERY>SELECT state_name FROM state WHERE area = ( SELECT MAX ( area ) FROM state WHERE state_name IN ( SELECT border FROM border_info WHERE state_name = "california" ) ) AND state_name IN ( SELECT border FROM border_info WHERE state_name = "california" );</SQL_QUERY> | geo | SELECT state_name FROM state WHERE area = ( SELECT MAX ( area ) FROM state WHERE state_name IN ( SELECT border FROM border_info WHERE state_name = "california" ) ) AND state_name IN ( SELECT border FROM border_info WHERE state_name = "california" ); | what state that borders california is the largest | [Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number); | [Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name | [Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number);</schema>"
<primary_keys>[Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name</primary_keys>"
<foreign_keys>[Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name</foreign_keys>"
Answer the following question with a SQL Statement:<question>what is the longest river in the largest state</question>
[SQL]:
| <SQL_QUERY>SELECT river_name FROM river WHERE LENGTH = ( SELECT MAX ( LENGTH ) FROM river WHERE traverse IN ( SELECT state_name FROM state WHERE area = ( SELECT MAX ( area ) FROM state ) ) ) AND traverse IN ( SELECT state_name FROM state WHERE area = ( SELECT MAX ( area ) FROM state ) );</SQL_QUERY> | geo | SELECT river_name FROM river WHERE LENGTH = ( SELECT MAX ( LENGTH ) FROM river WHERE traverse IN ( SELECT state_name FROM state WHERE area = ( SELECT MAX ( area ) FROM state ) ) ) AND traverse IN ( SELECT state_name FROM state WHERE area = ( SELECT MAX ( area ) FROM state ) ); | what is the longest river in the largest state | [Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number); | [Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name | [Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number);</schema>"
<primary_keys>[Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name</primary_keys>"
<foreign_keys>[Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name</foreign_keys>"
Answer the following question with a SQL Statement:<question>what is the longest river in the states that border tennessee</question>
[SQL]:
| <SQL_QUERY>SELECT river_name FROM river WHERE LENGTH = ( SELECT MAX ( LENGTH ) FROM river WHERE traverse IN ( SELECT border FROM border_info WHERE state_name = "tennessee" ) ) AND traverse IN ( SELECT border FROM border_info WHERE state_name = "tennessee" );</SQL_QUERY> | geo | SELECT river_name FROM river WHERE LENGTH = ( SELECT MAX ( LENGTH ) FROM river WHERE traverse IN ( SELECT border FROM border_info WHERE state_name = "tennessee" ) ) AND traverse IN ( SELECT border FROM border_info WHERE state_name = "tennessee" ); | what is the longest river in the states that border tennessee | [Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number); | [Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name | [Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number);</schema>"
<primary_keys>[Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name</primary_keys>"
<foreign_keys>[Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name</foreign_keys>"
Answer the following question with a SQL Statement:<question>what is the longest river that flows through a state that borders tennessee</question>
[SQL]:
| <SQL_QUERY>SELECT river_name FROM river WHERE LENGTH = ( SELECT MAX ( LENGTH ) FROM river WHERE traverse IN ( SELECT border FROM border_info WHERE state_name = "tennessee" ) ) AND traverse IN ( SELECT border FROM border_info WHERE state_name = "tennessee" );</SQL_QUERY> | geo | SELECT river_name FROM river WHERE LENGTH = ( SELECT MAX ( LENGTH ) FROM river WHERE traverse IN ( SELECT border FROM border_info WHERE state_name = "tennessee" ) ) AND traverse IN ( SELECT border FROM border_info WHERE state_name = "tennessee" ); | what is the longest river that flows through a state that borders tennessee | [Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number); | [Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name | [Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number);</schema>"
<primary_keys>[Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name</primary_keys>"
<foreign_keys>[Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name</foreign_keys>"
Answer the following question with a SQL Statement:<question>what is the longest river that runs through a state that borders tennessee</question>
[SQL]:
| <SQL_QUERY>SELECT river_name FROM river WHERE LENGTH = ( SELECT MAX ( LENGTH ) FROM river WHERE traverse IN ( SELECT border FROM border_info WHERE state_name = "tennessee" ) ) AND traverse IN ( SELECT border FROM border_info WHERE state_name = "tennessee" );</SQL_QUERY> | geo | SELECT river_name FROM river WHERE LENGTH = ( SELECT MAX ( LENGTH ) FROM river WHERE traverse IN ( SELECT border FROM border_info WHERE state_name = "tennessee" ) ) AND traverse IN ( SELECT border FROM border_info WHERE state_name = "tennessee" ); | what is the longest river that runs through a state that borders tennessee | [Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number); | [Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name | [Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number);</schema>"
<primary_keys>[Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name</primary_keys>"
<foreign_keys>[Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name</foreign_keys>"
Answer the following question with a SQL Statement:<question>what is the longest river in the state with the most major cities</question>
[SQL]:
| <SQL_QUERY>SELECT river_name FROM river WHERE traverse = ( SELECT state_name FROM city WHERE population > 150000 GROUP BY state_name ORDER BY COUNT ( city_name ) DESC LIMIT 1 ) ORDER BY LENGTH DESC LIMIT 1;</SQL_QUERY> | geo | SELECT river_name FROM river WHERE traverse = ( SELECT state_name FROM city WHERE population > 150000 GROUP BY state_name ORDER BY COUNT ( city_name ) DESC LIMIT 1 ) ORDER BY LENGTH DESC LIMIT 1; | what is the longest river in the state with the most major cities | [Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number); | [Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name | [Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number);</schema>"
<primary_keys>[Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name</primary_keys>"
<foreign_keys>[Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name</foreign_keys>"
Answer the following question with a SQL Statement:<question>what is the lowest point in iowa</question>
[SQL]:
| <SQL_QUERY>SELECT lowest_point FROM highlow WHERE state_name = "iowa";</SQL_QUERY> | geo | SELECT lowest_point FROM highlow WHERE state_name = "iowa"; | what is the lowest point in iowa | [Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number); | [Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name | [Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number);</schema>"
<primary_keys>[Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name</primary_keys>"
<foreign_keys>[Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name</foreign_keys>"
Answer the following question with a SQL Statement:<question>what is the lowest point in iowa in meters</question>
[SQL]:
| <SQL_QUERY>SELECT lowest_point FROM highlow WHERE state_name = "iowa";</SQL_QUERY> | geo | SELECT lowest_point FROM highlow WHERE state_name = "iowa"; | what is the lowest point in iowa in meters | [Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number); | [Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name | [Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number);</schema>"
<primary_keys>[Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name</primary_keys>"
<foreign_keys>[Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name</foreign_keys>"
Answer the following question with a SQL Statement:<question>what is the lowest point in the state of iowa</question>
[SQL]:
| <SQL_QUERY>SELECT lowest_point FROM highlow WHERE state_name = "iowa";</SQL_QUERY> | geo | SELECT lowest_point FROM highlow WHERE state_name = "iowa"; | what is the lowest point in the state of iowa | [Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number); | [Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name | [Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number);</schema>"
<primary_keys>[Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name</primary_keys>"
<foreign_keys>[Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name</foreign_keys>"
Answer the following question with a SQL Statement:<question>where is the lowest point in iowa</question>
[SQL]:
| <SQL_QUERY>SELECT lowest_point FROM highlow WHERE state_name = "iowa";</SQL_QUERY> | geo | SELECT lowest_point FROM highlow WHERE state_name = "iowa"; | where is the lowest point in iowa | [Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number); | [Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name | [Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number);</schema>"
<primary_keys>[Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name</primary_keys>"
<foreign_keys>[Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name</foreign_keys>"
Answer the following question with a SQL Statement:<question>what is the lowest point of iowa</question>
[SQL]:
| <SQL_QUERY>SELECT lowest_point FROM highlow WHERE state_name = "iowa";</SQL_QUERY> | geo | SELECT lowest_point FROM highlow WHERE state_name = "iowa"; | what is the lowest point of iowa | [Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number); | [Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name | [Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number);</schema>"
<primary_keys>[Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name</primary_keys>"
<foreign_keys>[Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name</foreign_keys>"
Answer the following question with a SQL Statement:<question>where is the lowest spot in iowa</question>
[SQL]:
| <SQL_QUERY>SELECT lowest_point FROM highlow WHERE state_name = "iowa";</SQL_QUERY> | geo | SELECT lowest_point FROM highlow WHERE state_name = "iowa"; | where is the lowest spot in iowa | [Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number); | [Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name | [Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number);</schema>"
<primary_keys>[Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name</primary_keys>"
<foreign_keys>[Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name</foreign_keys>"
Answer the following question with a SQL Statement:<question>what is the lowest point in usa</question>
[SQL]:
| <SQL_QUERY>SELECT lowest_point FROM highlow WHERE lowest_elevation = ( SELECT MIN ( lowest_elevation ) FROM highlow );</SQL_QUERY> | geo | SELECT lowest_point FROM highlow WHERE lowest_elevation = ( SELECT MIN ( lowest_elevation ) FROM highlow ); | what is the lowest point in usa | [Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number); | [Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name | [Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number);</schema>"
<primary_keys>[Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name</primary_keys>"
<foreign_keys>[Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name</foreign_keys>"
Answer the following question with a SQL Statement:<question>what is the lowest point in the united states</question>
[SQL]:
| <SQL_QUERY>SELECT lowest_point FROM highlow WHERE lowest_elevation = ( SELECT MIN ( lowest_elevation ) FROM highlow );</SQL_QUERY> | geo | SELECT lowest_point FROM highlow WHERE lowest_elevation = ( SELECT MIN ( lowest_elevation ) FROM highlow ); | what is the lowest point in the united states | [Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number); | [Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name | [Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number);</schema>"
<primary_keys>[Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name</primary_keys>"
<foreign_keys>[Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name</foreign_keys>"
Answer the following question with a SQL Statement:<question>where is the lowest point in the us</question>
[SQL]:
| <SQL_QUERY>SELECT lowest_point FROM highlow WHERE lowest_elevation = ( SELECT MIN ( lowest_elevation ) FROM highlow );</SQL_QUERY> | geo | SELECT lowest_point FROM highlow WHERE lowest_elevation = ( SELECT MIN ( lowest_elevation ) FROM highlow ); | where is the lowest point in the us | [Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number); | [Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name | [Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number);</schema>"
<primary_keys>[Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name</primary_keys>"
<foreign_keys>[Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name</foreign_keys>"
Answer the following question with a SQL Statement:<question>what is the lowest point of the us</question>
[SQL]:
| <SQL_QUERY>SELECT lowest_point FROM highlow WHERE lowest_elevation = ( SELECT MIN ( lowest_elevation ) FROM highlow );</SQL_QUERY> | geo | SELECT lowest_point FROM highlow WHERE lowest_elevation = ( SELECT MIN ( lowest_elevation ) FROM highlow ); | what is the lowest point of the us | [Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number); | [Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name | [Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number);</schema>"
<primary_keys>[Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name</primary_keys>"
<foreign_keys>[Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name</foreign_keys>"
Answer the following question with a SQL Statement:<question>what is the lowest point of all states through which the mississippi river runs through</question>
[SQL]:
| <SQL_QUERY>SELECT lowest_point FROM highlow WHERE state_name IN ( SELECT traverse FROM river WHERE river_name = "mississippi" ) ORDER BY lowest_elevation LIMIT 1;</SQL_QUERY> | geo | SELECT lowest_point FROM highlow WHERE state_name IN ( SELECT traverse FROM river WHERE river_name = "mississippi" ) ORDER BY lowest_elevation LIMIT 1; | what is the lowest point of all states through which the mississippi river runs through | [Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number); | [Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name | [Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number);</schema>"
<primary_keys>[Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name</primary_keys>"
<foreign_keys>[Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name</foreign_keys>"
Answer the following question with a SQL Statement:<question>which is the lowest point of the states that the mississippi runs through</question>
[SQL]:
| <SQL_QUERY>SELECT lowest_point FROM highlow WHERE state_name IN ( SELECT traverse FROM river WHERE river_name = "mississippi" ) ORDER BY lowest_elevation LIMIT 1;</SQL_QUERY> | geo | SELECT lowest_point FROM highlow WHERE state_name IN ( SELECT traverse FROM river WHERE river_name = "mississippi" ) ORDER BY lowest_elevation LIMIT 1; | which is the lowest point of the states that the mississippi runs through | [Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number); | [Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name | [Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number);</schema>"
<primary_keys>[Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name</primary_keys>"
<foreign_keys>[Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name</foreign_keys>"
Answer the following question with a SQL Statement:<question>what is the most dense state in the usa</question>
[SQL]:
| <SQL_QUERY>SELECT state_name FROM state WHERE density = ( SELECT MAX ( density ) FROM state );</SQL_QUERY> | geo | SELECT state_name FROM state WHERE density = ( SELECT MAX ( density ) FROM state ); | what is the most dense state in the usa | [Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number); | [Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name | [Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number);</schema>"
<primary_keys>[Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name</primary_keys>"
<foreign_keys>[Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name</foreign_keys>"
Answer the following question with a SQL Statement:<question>which state has the highest population density</question>
[SQL]:
| <SQL_QUERY>SELECT state_name FROM state WHERE density = ( SELECT MAX ( density ) FROM state );</SQL_QUERY> | geo | SELECT state_name FROM state WHERE density = ( SELECT MAX ( density ) FROM state ); | which state has the highest population density | [Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number); | [Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name | [Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number);</schema>"
<primary_keys>[Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name</primary_keys>"
<foreign_keys>[Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name</foreign_keys>"
Answer the following question with a SQL Statement:<question>which state has the greatest density</question>
[SQL]:
| <SQL_QUERY>SELECT state_name FROM state WHERE density = ( SELECT MAX ( density ) FROM state );</SQL_QUERY> | geo | SELECT state_name FROM state WHERE density = ( SELECT MAX ( density ) FROM state ); | which state has the greatest density | [Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number); | [Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name | [Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number);</schema>"
<primary_keys>[Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name</primary_keys>"
<foreign_keys>[Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name</foreign_keys>"
Answer the following question with a SQL Statement:<question>what state has the highest population density</question>
[SQL]:
| <SQL_QUERY>SELECT state_name FROM state WHERE density = ( SELECT MAX ( density ) FROM state );</SQL_QUERY> | geo | SELECT state_name FROM state WHERE density = ( SELECT MAX ( density ) FROM state ); | what state has the highest population density | [Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number); | [Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name | [Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number);</schema>"
<primary_keys>[Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name</primary_keys>"
<foreign_keys>[Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name</foreign_keys>"
Answer the following question with a SQL Statement:<question>what state has the greatest population density</question>
[SQL]:
| <SQL_QUERY>SELECT state_name FROM state WHERE density = ( SELECT MAX ( density ) FROM state );</SQL_QUERY> | geo | SELECT state_name FROM state WHERE density = ( SELECT MAX ( density ) FROM state ); | what state has the greatest population density | [Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number); | [Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name | [Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number);</schema>"
<primary_keys>[Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name</primary_keys>"
<foreign_keys>[Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name</foreign_keys>"
Answer the following question with a SQL Statement:<question>what state has the largest population density</question>
[SQL]:
| <SQL_QUERY>SELECT state_name FROM state WHERE density = ( SELECT MAX ( density ) FROM state );</SQL_QUERY> | geo | SELECT state_name FROM state WHERE density = ( SELECT MAX ( density ) FROM state ); | what state has the largest population density | [Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number); | [Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name | [Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number);</schema>"
<primary_keys>[Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name</primary_keys>"
<foreign_keys>[Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name</foreign_keys>"
Answer the following question with a SQL Statement:<question>what is the state with the largest density in usa</question>
[SQL]:
| <SQL_QUERY>SELECT state_name FROM state WHERE density = ( SELECT MAX ( density ) FROM state );</SQL_QUERY> | geo | SELECT state_name FROM state WHERE density = ( SELECT MAX ( density ) FROM state ); | what is the state with the largest density in usa | [Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number); | [Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name | [Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number);</schema>"
<primary_keys>[Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name</primary_keys>"
<foreign_keys>[Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name</foreign_keys>"
Answer the following question with a SQL Statement:<question>what is the state with the largest population density</question>
[SQL]:
| <SQL_QUERY>SELECT state_name FROM state WHERE density = ( SELECT MAX ( density ) FROM state );</SQL_QUERY> | geo | SELECT state_name FROM state WHERE density = ( SELECT MAX ( density ) FROM state ); | what is the state with the largest population density | [Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number); | [Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name | [Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number);</schema>"
<primary_keys>[Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name</primary_keys>"
<foreign_keys>[Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name</foreign_keys>"
Answer the following question with a SQL Statement:<question>which state has the largest density</question>
[SQL]:
| <SQL_QUERY>SELECT state_name FROM state WHERE density = ( SELECT MAX ( density ) FROM state );</SQL_QUERY> | geo | SELECT state_name FROM state WHERE density = ( SELECT MAX ( density ) FROM state ); | which state has the largest density | [Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number); | [Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name | [Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number);</schema>"
<primary_keys>[Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name</primary_keys>"
<foreign_keys>[Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name</foreign_keys>"
Answer the following question with a SQL Statement:<question>what is the most populous state through which the mississippi runs</question>
[SQL]:
| <SQL_QUERY>SELECT state_name FROM state WHERE population = ( SELECT MAX ( population ) FROM state WHERE state_name IN ( SELECT traverse FROM river WHERE river_name = "mississippi" ) ) AND state_name IN ( SELECT traverse FROM river WHERE river_name = "mississippi" );</SQL_QUERY> | geo | SELECT state_name FROM state WHERE population = ( SELECT MAX ( population ) FROM state WHERE state_name IN ( SELECT traverse FROM river WHERE river_name = "mississippi" ) ) AND state_name IN ( SELECT traverse FROM river WHERE river_name = "mississippi" ); | what is the most populous state through which the mississippi runs | [Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number); | [Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name | [Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number);</schema>"
<primary_keys>[Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name</primary_keys>"
<foreign_keys>[Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name</foreign_keys>"
Answer the following question with a SQL Statement:<question>what state which the mississippi runs through has the largest population</question>
[SQL]:
| <SQL_QUERY>SELECT state_name FROM state WHERE population = ( SELECT MAX ( population ) FROM state WHERE state_name IN ( SELECT traverse FROM river WHERE river_name = "mississippi" ) ) AND state_name IN ( SELECT traverse FROM river WHERE river_name = "mississippi" );</SQL_QUERY> | geo | SELECT state_name FROM state WHERE population = ( SELECT MAX ( population ) FROM state WHERE state_name IN ( SELECT traverse FROM river WHERE river_name = "mississippi" ) ) AND state_name IN ( SELECT traverse FROM river WHERE river_name = "mississippi" ); | what state which the mississippi runs through has the largest population | [Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number); | [Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name | [Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number);</schema>"
<primary_keys>[Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name</primary_keys>"
<foreign_keys>[Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name</foreign_keys>"
Answer the following question with a SQL Statement:<question>what is the population density of the largest state</question>
[SQL]:
| <SQL_QUERY>SELECT density FROM state WHERE area = ( SELECT MAX ( area ) FROM state );</SQL_QUERY> | geo | SELECT density FROM state WHERE area = ( SELECT MAX ( area ) FROM state ); | what is the population density of the largest state | [Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number); | [Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name | [Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number);</schema>"
<primary_keys>[Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name</primary_keys>"
<foreign_keys>[Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name</foreign_keys>"
Answer the following question with a SQL Statement:<question>what is the population of the largest city in the state with the largest area</question>
[SQL]:
| <SQL_QUERY>SELECT population FROM city WHERE population = ( SELECT MAX ( population ) FROM city WHERE state_name IN ( SELECT state_name FROM state WHERE area = ( SELECT MAX ( area ) FROM state ) ) ) AND state_name IN ( SELECT state_name FROM state WHERE area = ( SELECT MAX ( area ) FROM state ) );</SQL_QUERY> | geo | SELECT population FROM city WHERE population = ( SELECT MAX ( population ) FROM city WHERE state_name IN ( SELECT state_name FROM state WHERE area = ( SELECT MAX ( area ) FROM state ) ) ) AND state_name IN ( SELECT state_name FROM state WHERE area = ( SELECT MAX ( area ) FROM state ) ); | what is the population of the largest city in the state with the largest area | [Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number); | [Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name | [Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number);</schema>"
<primary_keys>[Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name</primary_keys>"
<foreign_keys>[Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name</foreign_keys>"
Answer the following question with a SQL Statement:<question>what is the population of the smallest state</question>
[SQL]:
| <SQL_QUERY>SELECT population FROM state WHERE area = ( SELECT MIN ( area ) FROM state );</SQL_QUERY> | geo | SELECT population FROM state WHERE area = ( SELECT MIN ( area ) FROM state ); | what is the population of the smallest state | [Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number); | [Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name | [Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number);</schema>"
<primary_keys>[Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name</primary_keys>"
<foreign_keys>[Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name</foreign_keys>"
Answer the following question with a SQL Statement:<question>what is the population of the state with the highest population density</question>
[SQL]:
| <SQL_QUERY>SELECT population FROM state WHERE density = ( SELECT MAX ( density ) FROM state );</SQL_QUERY> | geo | SELECT population FROM state WHERE density = ( SELECT MAX ( density ) FROM state ); | what is the population of the state with the highest population density | [Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number); | [Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name | [Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number);</schema>"
<primary_keys>[Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name</primary_keys>"
<foreign_keys>[Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name</foreign_keys>"
Answer the following question with a SQL Statement:<question>how many people live in the state with the largest population density</question>
[SQL]:
| <SQL_QUERY>SELECT population FROM state WHERE density = ( SELECT MAX ( density ) FROM state );</SQL_QUERY> | geo | SELECT population FROM state WHERE density = ( SELECT MAX ( density ) FROM state ); | how many people live in the state with the largest population density | [Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number); | [Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name | [Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number);</schema>"
<primary_keys>[Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name</primary_keys>"
<foreign_keys>[Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name</foreign_keys>"
Answer the following question with a SQL Statement:<question>what is the smallest city in the usa</question>
[SQL]:
| <SQL_QUERY>SELECT city_name FROM city WHERE population = ( SELECT MIN ( population ) FROM city );</SQL_QUERY> | geo | SELECT city_name FROM city WHERE population = ( SELECT MIN ( population ) FROM city ); | what is the smallest city in the usa | [Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number); | [Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name | [Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number);</schema>"
<primary_keys>[Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name</primary_keys>"
<foreign_keys>[Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name</foreign_keys>"
Answer the following question with a SQL Statement:<question>what is the smallest city in the us</question>
[SQL]:
| <SQL_QUERY>SELECT city_name FROM city WHERE population = ( SELECT MIN ( population ) FROM city );</SQL_QUERY> | geo | SELECT city_name FROM city WHERE population = ( SELECT MIN ( population ) FROM city ); | what is the smallest city in the us | [Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number); | [Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name | [Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number);</schema>"
<primary_keys>[Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name</primary_keys>"
<foreign_keys>[Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name</foreign_keys>"
Answer the following question with a SQL Statement:<question>what city has the least population</question>
[SQL]:
| <SQL_QUERY>SELECT city_name FROM city WHERE population = ( SELECT MIN ( population ) FROM city );</SQL_QUERY> | geo | SELECT city_name FROM city WHERE population = ( SELECT MIN ( population ) FROM city ); | what city has the least population | [Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number); | [Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name | [Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number);</schema>"
<primary_keys>[Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name</primary_keys>"
<foreign_keys>[Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name</foreign_keys>"
Answer the following question with a SQL Statement:<question>what is the city with the smallest population</question>
[SQL]:
| <SQL_QUERY>SELECT city_name FROM city WHERE population = ( SELECT MIN ( population ) FROM city );</SQL_QUERY> | geo | SELECT city_name FROM city WHERE population = ( SELECT MIN ( population ) FROM city ); | what is the city with the smallest population | [Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number); | [Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name | [Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number);</schema>"
<primary_keys>[Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name</primary_keys>"
<foreign_keys>[Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name</foreign_keys>"
Answer the following question with a SQL Statement:<question>what is the smallest state bordering texas</question>
[SQL]:
| <SQL_QUERY>SELECT state_name FROM state WHERE area = ( SELECT MIN ( area ) FROM state WHERE state_name IN ( SELECT border FROM border_info WHERE state_name = "texas" ) ) AND state_name IN ( SELECT border FROM border_info WHERE state_name = "texas" );</SQL_QUERY> | geo | SELECT state_name FROM state WHERE area = ( SELECT MIN ( area ) FROM state WHERE state_name IN ( SELECT border FROM border_info WHERE state_name = "texas" ) ) AND state_name IN ( SELECT border FROM border_info WHERE state_name = "texas" ); | what is the smallest state bordering texas | [Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number); | [Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name | [Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number);</schema>"
<primary_keys>[Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name</primary_keys>"
<foreign_keys>[Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name</foreign_keys>"
Answer the following question with a SQL Statement:<question>what is the smallest state that borders texas</question>
[SQL]:
| <SQL_QUERY>SELECT state_name FROM state WHERE area = ( SELECT MIN ( area ) FROM state WHERE state_name IN ( SELECT border FROM border_info WHERE state_name = "texas" ) ) AND state_name IN ( SELECT border FROM border_info WHERE state_name = "texas" );</SQL_QUERY> | geo | SELECT state_name FROM state WHERE area = ( SELECT MIN ( area ) FROM state WHERE state_name IN ( SELECT border FROM border_info WHERE state_name = "texas" ) ) AND state_name IN ( SELECT border FROM border_info WHERE state_name = "texas" ); | what is the smallest state that borders texas | [Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number); | [Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name | [Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number);</schema>"
<primary_keys>[Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name</primary_keys>"
<foreign_keys>[Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name</foreign_keys>"
Answer the following question with a SQL Statement:<question>which state has the smallest area that borders texas</question>
[SQL]:
| <SQL_QUERY>SELECT state_name FROM state WHERE area = ( SELECT MIN ( area ) FROM state WHERE state_name IN ( SELECT border FROM border_info WHERE state_name = "texas" ) ) AND state_name IN ( SELECT border FROM border_info WHERE state_name = "texas" );</SQL_QUERY> | geo | SELECT state_name FROM state WHERE area = ( SELECT MIN ( area ) FROM state WHERE state_name IN ( SELECT border FROM border_info WHERE state_name = "texas" ) ) AND state_name IN ( SELECT border FROM border_info WHERE state_name = "texas" ); | which state has the smallest area that borders texas | [Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number); | [Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name | [Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number);</schema>"
<primary_keys>[Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name</primary_keys>"
<foreign_keys>[Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name</foreign_keys>"
Answer the following question with a SQL Statement:<question>what is the smallest state that the mississippi river runs through</question>
[SQL]:
| <SQL_QUERY>SELECT state_name FROM state WHERE area = ( SELECT MIN ( area ) FROM state WHERE state_name IN ( SELECT traverse FROM river WHERE river_name = "mississippi" ) ) AND state_name IN ( SELECT traverse FROM river WHERE river_name = "mississippi" );</SQL_QUERY> | geo | SELECT state_name FROM state WHERE area = ( SELECT MIN ( area ) FROM state WHERE state_name IN ( SELECT traverse FROM river WHERE river_name = "mississippi" ) ) AND state_name IN ( SELECT traverse FROM river WHERE river_name = "mississippi" ); | what is the smallest state that the mississippi river runs through | [Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number); | [Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name | [Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number);</schema>"
<primary_keys>[Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name</primary_keys>"
<foreign_keys>[Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name</foreign_keys>"
Answer the following question with a SQL Statement:<question>what is the state with the smallest area</question>
[SQL]:
| <SQL_QUERY>SELECT state_name FROM state WHERE area = ( SELECT MIN ( area ) FROM state );</SQL_QUERY> | geo | SELECT state_name FROM state WHERE area = ( SELECT MIN ( area ) FROM state ); | what is the state with the smallest area | [Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number); | [Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name | [Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number);</schema>"
<primary_keys>[Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name</primary_keys>"
<foreign_keys>[Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name</foreign_keys>"
Answer the following question with a SQL Statement:<question>which is the smallest state</question>
[SQL]:
| <SQL_QUERY>SELECT state_name FROM state WHERE area = ( SELECT MIN ( area ) FROM state );</SQL_QUERY> | geo | SELECT state_name FROM state WHERE area = ( SELECT MIN ( area ) FROM state ); | which is the smallest state | [Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number); | [Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name | [Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number);</schema>"
<primary_keys>[Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name</primary_keys>"
<foreign_keys>[Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name</foreign_keys>"
Answer the following question with a SQL Statement:<question>which state is the smallest</question>
[SQL]:
| <SQL_QUERY>SELECT state_name FROM state WHERE area = ( SELECT MIN ( area ) FROM state );</SQL_QUERY> | geo | SELECT state_name FROM state WHERE area = ( SELECT MIN ( area ) FROM state ); | which state is the smallest | [Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number); | [Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name | [Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number);</schema>"
<primary_keys>[Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name</primary_keys>"
<foreign_keys>[Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name</foreign_keys>"
Answer the following question with a SQL Statement:<question>what is the smallest state in the usa</question>
[SQL]:
| <SQL_QUERY>SELECT state_name FROM state WHERE area = ( SELECT MIN ( area ) FROM state );</SQL_QUERY> | geo | SELECT state_name FROM state WHERE area = ( SELECT MIN ( area ) FROM state ); | what is the smallest state in the usa | [Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number); | [Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name | [Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number);</schema>"
<primary_keys>[Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name</primary_keys>"
<foreign_keys>[Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name</foreign_keys>"
Answer the following question with a SQL Statement:<question>what is the smallest state by area</question>
[SQL]:
| <SQL_QUERY>SELECT state_name FROM state WHERE area = ( SELECT MIN ( area ) FROM state );</SQL_QUERY> | geo | SELECT state_name FROM state WHERE area = ( SELECT MIN ( area ) FROM state ); | what is the smallest state by area | [Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number); | [Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name | [Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number);</schema>"
<primary_keys>[Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name</primary_keys>"
<foreign_keys>[Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name</foreign_keys>"
Answer the following question with a SQL Statement:<question>what state has the smallest area</question>
[SQL]:
| <SQL_QUERY>SELECT state_name FROM state WHERE area = ( SELECT MIN ( area ) FROM state );</SQL_QUERY> | geo | SELECT state_name FROM state WHERE area = ( SELECT MIN ( area ) FROM state ); | what state has the smallest area | [Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number); | [Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name | [Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number);</schema>"
<primary_keys>[Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name</primary_keys>"
<foreign_keys>[Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name</foreign_keys>"
Answer the following question with a SQL Statement:<question>what is the total length of all rivers in the usa</question>
[SQL]:
| <SQL_QUERY>SELECT SUM ( LENGTH ) FROM river;</SQL_QUERY> | geo | SELECT SUM ( LENGTH ) FROM river; | what is the total length of all rivers in the usa | [Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number); | [Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name | [Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number);</schema>"
<primary_keys>[Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name</primary_keys>"
<foreign_keys>[Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name</foreign_keys>"
Answer the following question with a SQL Statement:<question>what river flows through the most states</question>
[SQL]:
| <SQL_QUERY>SELECT river_name FROM river GROUP BY ( river_name ) ORDER BY COUNT ( DISTINCT traverse ) DESC LIMIT 1;</SQL_QUERY> | geo | SELECT river_name FROM river GROUP BY ( river_name ) ORDER BY COUNT ( DISTINCT traverse ) DESC LIMIT 1; | what river flows through the most states | [Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number); | [Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name | [Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number);</schema>"
<primary_keys>[Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name</primary_keys>"
<foreign_keys>[Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name</foreign_keys>"
Answer the following question with a SQL Statement:<question>which river goes through the most states</question>
[SQL]:
| <SQL_QUERY>SELECT river_name FROM river GROUP BY ( river_name ) ORDER BY COUNT ( DISTINCT traverse ) DESC LIMIT 1;</SQL_QUERY> | geo | SELECT river_name FROM river GROUP BY ( river_name ) ORDER BY COUNT ( DISTINCT traverse ) DESC LIMIT 1; | which river goes through the most states | [Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number); | [Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name | [Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number);</schema>"
<primary_keys>[Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name</primary_keys>"
<foreign_keys>[Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name</foreign_keys>"
Answer the following question with a SQL Statement:<question>which river runs through most states</question>
[SQL]:
| <SQL_QUERY>SELECT river_name FROM river GROUP BY ( river_name ) ORDER BY COUNT ( DISTINCT traverse ) DESC LIMIT 1;</SQL_QUERY> | geo | SELECT river_name FROM river GROUP BY ( river_name ) ORDER BY COUNT ( DISTINCT traverse ) DESC LIMIT 1; | which river runs through most states | [Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number); | [Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name | [Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number);</schema>"
<primary_keys>[Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name</primary_keys>"
<foreign_keys>[Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name</foreign_keys>"
Answer the following question with a SQL Statement:<question>which river traverses most states</question>
[SQL]:
| <SQL_QUERY>SELECT river_name FROM river GROUP BY ( river_name ) ORDER BY COUNT ( DISTINCT traverse ) DESC LIMIT 1;</SQL_QUERY> | geo | SELECT river_name FROM river GROUP BY ( river_name ) ORDER BY COUNT ( DISTINCT traverse ) DESC LIMIT 1; | which river traverses most states | [Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number); | [Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name | [Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number);</schema>"
<primary_keys>[Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name</primary_keys>"
<foreign_keys>[Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name</foreign_keys>"
Answer the following question with a SQL Statement:<question>what river traverses the most states</question>
[SQL]:
| <SQL_QUERY>SELECT river_name FROM river GROUP BY ( river_name ) ORDER BY COUNT ( DISTINCT traverse ) DESC LIMIT 1;</SQL_QUERY> | geo | SELECT river_name FROM river GROUP BY ( river_name ) ORDER BY COUNT ( DISTINCT traverse ) DESC LIMIT 1; | what river traverses the most states | [Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number); | [Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name | [Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number);</schema>"
<primary_keys>[Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name</primary_keys>"
<foreign_keys>[Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name</foreign_keys>"
Answer the following question with a SQL Statement:<question>which river runs through the most states</question>
[SQL]:
| <SQL_QUERY>SELECT river_name FROM river GROUP BY ( river_name ) ORDER BY COUNT ( DISTINCT traverse ) DESC LIMIT 1;</SQL_QUERY> | geo | SELECT river_name FROM river GROUP BY ( river_name ) ORDER BY COUNT ( DISTINCT traverse ) DESC LIMIT 1; | which river runs through the most states | [Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number); | [Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name | [Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number);</schema>"
<primary_keys>[Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name</primary_keys>"
<foreign_keys>[Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name</foreign_keys>"
Answer the following question with a SQL Statement:<question>what river runs through the most states</question>
[SQL]:
| <SQL_QUERY>SELECT river_name FROM river GROUP BY ( river_name ) ORDER BY COUNT ( DISTINCT traverse ) DESC LIMIT 1;</SQL_QUERY> | geo | SELECT river_name FROM river GROUP BY ( river_name ) ORDER BY COUNT ( DISTINCT traverse ) DESC LIMIT 1; | what river runs through the most states | [Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number); | [Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name | [Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name |
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