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>what is the biggest city in wyoming</question>
[SQL]:
| <SQL_QUERY>SELECT city_name FROM city WHERE population = ( SELECT MAX ( population ) FROM city WHERE state_name = "wyoming" ) AND state_name = "wyoming";</SQL_QUERY> | geo | SELECT city_name FROM city WHERE population = ( SELECT MAX ( population ) FROM city WHERE state_name = "wyoming" ) AND state_name = "wyoming"; | what is the biggest city in 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 wyoming city has the largest population</question>
[SQL]:
| <SQL_QUERY>SELECT city_name FROM city WHERE population = ( SELECT MAX ( population ) FROM city WHERE state_name = "wyoming" ) AND state_name = "wyoming";</SQL_QUERY> | geo | SELECT city_name FROM city WHERE population = ( SELECT MAX ( population ) FROM city WHERE state_name = "wyoming" ) AND state_name = "wyoming"; | what wyoming 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 largest city in wyoming</question>
[SQL]:
| <SQL_QUERY>SELECT city_name FROM city WHERE population = ( SELECT MAX ( population ) FROM city WHERE state_name = "wyoming" ) AND state_name = "wyoming";</SQL_QUERY> | geo | SELECT city_name FROM city WHERE population = ( SELECT MAX ( population ) FROM city WHERE state_name = "wyoming" ) AND state_name = "wyoming"; | what is the largest city in 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>where is the most populated area of wyoming</question>
[SQL]:
| <SQL_QUERY>SELECT city_name FROM city WHERE population = ( SELECT MAX ( population ) FROM city WHERE state_name = "wyoming" ) AND state_name = "wyoming";</SQL_QUERY> | geo | SELECT city_name FROM city WHERE population = ( SELECT MAX ( population ) FROM city WHERE state_name = "wyoming" ) AND state_name = "wyoming"; | where is the most populated area 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>which city in wyoming has the largest population</question>
[SQL]:
| <SQL_QUERY>SELECT city_name FROM city WHERE population = ( SELECT MAX ( population ) FROM city WHERE state_name = "wyoming" ) AND state_name = "wyoming";</SQL_QUERY> | geo | SELECT city_name FROM city WHERE population = ( SELECT MAX ( population ) FROM city WHERE state_name = "wyoming" ) AND state_name = "wyoming"; | which city in wyoming 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 cities in wyoming have the highest number of citizens</question>
[SQL]:
| <SQL_QUERY>SELECT city_name FROM city WHERE population = ( SELECT MAX ( population ) FROM city WHERE state_name = "wyoming" ) AND state_name = "wyoming";</SQL_QUERY> | geo | SELECT city_name FROM city WHERE population = ( SELECT MAX ( population ) FROM city WHERE state_name = "wyoming" ) AND state_name = "wyoming"; | what cities in wyoming have the highest number of citizens | [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 cities in wyoming have the highest populations</question>
[SQL]:
| <SQL_QUERY>SELECT city_name FROM city WHERE population = ( SELECT MAX ( population ) FROM city WHERE state_name = "wyoming" ) AND state_name = "wyoming";</SQL_QUERY> | geo | SELECT city_name FROM city WHERE population = ( SELECT MAX ( population ) FROM city WHERE state_name = "wyoming" ) AND state_name = "wyoming"; | what cities in wyoming have the highest populations | [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 city in wyoming</question>
[SQL]:
| <SQL_QUERY>SELECT city_name FROM city WHERE population = ( SELECT MAX ( population ) FROM city WHERE state_name = "wyoming" ) AND state_name = "wyoming";</SQL_QUERY> | geo | SELECT city_name FROM city WHERE population = ( SELECT MAX ( population ) FROM city WHERE state_name = "wyoming" ) AND state_name = "wyoming"; | what is the most populous city in 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 largest city in wyoming by population</question>
[SQL]:
| <SQL_QUERY>SELECT city_name FROM city WHERE population = ( SELECT MAX ( population ) FROM city WHERE state_name = "wyoming" ) AND state_name = "wyoming";</SQL_QUERY> | geo | SELECT city_name FROM city WHERE population = ( SELECT MAX ( population ) FROM city WHERE state_name = "wyoming" ) AND state_name = "wyoming"; | what is the largest city in wyoming by 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 city of wyoming</question>
[SQL]:
| <SQL_QUERY>SELECT city_name FROM city WHERE population = ( SELECT MAX ( population ) FROM city WHERE state_name = "wyoming" ) AND state_name = "wyoming";</SQL_QUERY> | geo | SELECT city_name FROM city WHERE population = ( SELECT MAX ( population ) FROM city WHERE state_name = "wyoming" ) AND state_name = "wyoming"; | what is the largest city 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 city in wyoming with the largest population</question>
[SQL]:
| <SQL_QUERY>SELECT city_name FROM city WHERE population = ( SELECT MAX ( population ) FROM city WHERE state_name = "wyoming" ) AND state_name = "wyoming";</SQL_QUERY> | geo | SELECT city_name FROM city WHERE population = ( SELECT MAX ( population ) FROM city WHERE state_name = "wyoming" ) AND state_name = "wyoming"; | what is the city in wyoming 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>which rivers run through the state with the largest city in the us</question>
[SQL]:
| <SQL_QUERY>SELECT river_name FROM river WHERE traverse IN ( SELECT state_name FROM city WHERE population = ( SELECT MAX ( population ) FROM city ) );</SQL_QUERY> | geo | SELECT river_name FROM river WHERE traverse IN ( SELECT state_name FROM city WHERE population = ( SELECT MAX ( population ) FROM city ) ); | which rivers run through the state with the largest 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>how big is new mexico</question>
[SQL]:
| <SQL_QUERY>SELECT area FROM state WHERE state_name = "new mexico";</SQL_QUERY> | geo | SELECT area FROM state WHERE state_name = "new mexico"; | how big is new mexico | [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 new mexico</question>
[SQL]:
| <SQL_QUERY>SELECT area FROM state WHERE state_name = "new mexico";</SQL_QUERY> | geo | SELECT area FROM state WHERE state_name = "new mexico"; | what is the area of new mexico | [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 large is new mexico</question>
[SQL]:
| <SQL_QUERY>SELECT area FROM state WHERE state_name = "new mexico";</SQL_QUERY> | geo | SELECT area FROM state WHERE state_name = "new mexico"; | how large is new mexico | [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 the new mexico state</question>
[SQL]:
| <SQL_QUERY>SELECT area FROM state WHERE state_name = "new mexico";</SQL_QUERY> | geo | SELECT area FROM state WHERE state_name = "new mexico"; | what is the area of the new mexico 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 size of new mexico</question>
[SQL]:
| <SQL_QUERY>SELECT area FROM state WHERE state_name = "new mexico";</SQL_QUERY> | geo | SELECT area FROM state WHERE state_name = "new mexico"; | what is the size of new mexico | [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 new mexico in square kilometers</question>
[SQL]:
| <SQL_QUERY>SELECT area FROM state WHERE state_name = "new mexico";</SQL_QUERY> | geo | SELECT area FROM state WHERE state_name = "new mexico"; | what is the area of new mexico in square kilometers | [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 california</question>
[SQL]:
| <SQL_QUERY>SELECT population FROM state WHERE state_name = "california";</SQL_QUERY> | geo | SELECT population FROM state WHERE state_name = "california"; | how many people live in 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>how many people reside in california</question>
[SQL]:
| <SQL_QUERY>SELECT population FROM state WHERE state_name = "california";</SQL_QUERY> | geo | SELECT population FROM state WHERE state_name = "california"; | how many people reside in 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>how many residents live in california</question>
[SQL]:
| <SQL_QUERY>SELECT population FROM state WHERE state_name = "california";</SQL_QUERY> | geo | SELECT population FROM state WHERE state_name = "california"; | how many residents live in 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>how much population does california have</question>
[SQL]:
| <SQL_QUERY>SELECT population FROM state WHERE state_name = "california";</SQL_QUERY> | geo | SELECT population FROM state WHERE state_name = "california"; | how much population does california have | [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 are the population of california</question>
[SQL]:
| <SQL_QUERY>SELECT population FROM state WHERE state_name = "california";</SQL_QUERY> | geo | SELECT population FROM state WHERE state_name = "california"; | what are the population of 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 population of california</question>
[SQL]:
| <SQL_QUERY>SELECT population FROM state WHERE state_name = "california";</SQL_QUERY> | geo | SELECT population FROM state WHERE state_name = "california"; | what is the population of 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>how many people are in the state of california</question>
[SQL]:
| <SQL_QUERY>SELECT population FROM state WHERE state_name = "california";</SQL_QUERY> | geo | SELECT population FROM state WHERE state_name = "california"; | how many people are in the state of 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 can you tell me about the population of california</question>
[SQL]:
| <SQL_QUERY>SELECT population FROM state WHERE state_name = "california";</SQL_QUERY> | geo | SELECT population FROM state WHERE state_name = "california"; | what can you tell me about the population of 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>how many people are there in california</question>
[SQL]:
| <SQL_QUERY>SELECT population FROM state WHERE state_name = "california";</SQL_QUERY> | geo | SELECT population FROM state WHERE state_name = "california"; | how many people are there in 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>how many citizens in california</question>
[SQL]:
| <SQL_QUERY>SELECT population FROM state WHERE state_name = "california";</SQL_QUERY> | geo | SELECT population FROM state WHERE state_name = "california"; | how many citizens in 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>how many people stay in california</question>
[SQL]:
| <SQL_QUERY>SELECT population FROM state WHERE state_name = "california";</SQL_QUERY> | geo | SELECT population FROM state WHERE state_name = "california"; | how many people stay in 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>how many citizens live in california</question>
[SQL]:
| <SQL_QUERY>SELECT population FROM state WHERE state_name = "california";</SQL_QUERY> | geo | SELECT population FROM state WHERE state_name = "california"; | how many citizens live in 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 has the smallest population</question>
[SQL]:
| <SQL_QUERY>SELECT state_name FROM state WHERE population = ( SELECT MIN ( population ) FROM state );</SQL_QUERY> | geo | SELECT state_name FROM state WHERE population = ( SELECT MIN ( population ) FROM state ); | what state has 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 least populous state</question>
[SQL]:
| <SQL_QUERY>SELECT state_name FROM state WHERE population = ( SELECT MIN ( population ) FROM state );</SQL_QUERY> | geo | SELECT state_name FROM state WHERE population = ( SELECT MIN ( population ) FROM state ); | what is the least populous 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 state with the lowest population</question>
[SQL]:
| <SQL_QUERY>SELECT state_name FROM state WHERE population = ( SELECT MIN ( population ) FROM state );</SQL_QUERY> | geo | SELECT state_name FROM state WHERE population = ( SELECT MIN ( population ) FROM state ); | what is the state with the lowest 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>give me the cities in texas</question>
[SQL]:
| <SQL_QUERY>SELECT city_name FROM city WHERE state_name = "texas";</SQL_QUERY> | geo | SELECT city_name FROM city WHERE state_name = "texas"; | give me the cities in 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>tell me what cities are in texas</question>
[SQL]:
| <SQL_QUERY>SELECT city_name FROM city WHERE state_name = "texas";</SQL_QUERY> | geo | SELECT city_name FROM city WHERE state_name = "texas"; | tell me what cities are in 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 cities are located in texas</question>
[SQL]:
| <SQL_QUERY>SELECT city_name FROM city WHERE state_name = "texas";</SQL_QUERY> | geo | SELECT city_name FROM city WHERE state_name = "texas"; | what cities are located in 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 are the cities in texas</question>
[SQL]:
| <SQL_QUERY>SELECT city_name FROM city WHERE state_name = "texas";</SQL_QUERY> | geo | SELECT city_name FROM city WHERE state_name = "texas"; | what are the cities in 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 cities in texas</question>
[SQL]:
| <SQL_QUERY>SELECT city_name FROM city WHERE state_name = "texas";</SQL_QUERY> | geo | SELECT city_name FROM city WHERE state_name = "texas"; | what cities in 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>give me the cities which are in texas</question>
[SQL]:
| <SQL_QUERY>SELECT city_name FROM city WHERE state_name = "texas";</SQL_QUERY> | geo | SELECT city_name FROM city WHERE state_name = "texas"; | give me the cities which are in 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 area of the state with the capital albany</question>
[SQL]:
| <SQL_QUERY>SELECT area FROM state WHERE capital = "albany";</SQL_QUERY> | geo | SELECT area FROM state WHERE capital = "albany"; | what is the area of the state with the capital albany | [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>give me the lakes in california</question>
[SQL]:
| <SQL_QUERY>SELECT lake_name FROM lake WHERE state_name = "california";</SQL_QUERY> | geo | SELECT lake_name FROM lake WHERE state_name = "california"; | give me the lakes in 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>name the major lakes in michigan</question>
[SQL]:
| <SQL_QUERY>SELECT lake_name FROM lake WHERE area > 750 AND state_name = "michigan";</SQL_QUERY> | geo | SELECT lake_name FROM lake WHERE area > 750 AND state_name = "michigan"; | name the major lakes in michigan | [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 are the states</question>
[SQL]:
| <SQL_QUERY>SELECT state_name FROM state;</SQL_QUERY> | geo | SELECT state_name FROM state; | what are the 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>list the states</question>
[SQL]:
| <SQL_QUERY>SELECT state_name FROM state;</SQL_QUERY> | geo | SELECT state_name FROM state; | list the 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>give me all the states of usa</question>
[SQL]:
| <SQL_QUERY>SELECT state_name FROM state;</SQL_QUERY> | geo | SELECT state_name FROM state; | give me all the states of 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 states do ohio river flow through</question>
[SQL]:
| <SQL_QUERY>SELECT traverse FROM river WHERE river_name = "ohio";</SQL_QUERY> | geo | SELECT traverse FROM river WHERE river_name = "ohio"; | which states do ohio river flow 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 states does the ohio river run through</question>
[SQL]:
| <SQL_QUERY>SELECT traverse FROM river WHERE river_name = "ohio";</SQL_QUERY> | geo | SELECT traverse FROM river WHERE river_name = "ohio"; | what states does the ohio river run 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 states border the ohio river</question>
[SQL]:
| <SQL_QUERY>SELECT traverse FROM river WHERE river_name = "ohio";</SQL_QUERY> | geo | SELECT traverse FROM river WHERE river_name = "ohio"; | what states border the ohio 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>which states border the ohio river</question>
[SQL]:
| <SQL_QUERY>SELECT traverse FROM river WHERE river_name = "ohio";</SQL_QUERY> | geo | SELECT traverse FROM river WHERE river_name = "ohio"; | which states border the ohio 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 states does the ohio run through</question>
[SQL]:
| <SQL_QUERY>SELECT traverse FROM river WHERE river_name = "ohio";</SQL_QUERY> | geo | SELECT traverse FROM river WHERE river_name = "ohio"; | what states does the ohio run 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>where is the ohio river</question>
[SQL]:
| <SQL_QUERY>SELECT traverse FROM river WHERE river_name = "ohio";</SQL_QUERY> | geo | SELECT traverse FROM river WHERE river_name = "ohio"; | where is the ohio 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>which states does the ohio river run through</question>
[SQL]:
| <SQL_QUERY>SELECT traverse FROM river WHERE river_name = "ohio";</SQL_QUERY> | geo | SELECT traverse FROM river WHERE river_name = "ohio"; | which states does the ohio river run 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 states does the ohio run through</question>
[SQL]:
| <SQL_QUERY>SELECT traverse FROM river WHERE river_name = "ohio";</SQL_QUERY> | geo | SELECT traverse FROM river WHERE river_name = "ohio"; | which states does the ohio run 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 states does the ohio river pass through</question>
[SQL]:
| <SQL_QUERY>SELECT traverse FROM river WHERE river_name = "ohio";</SQL_QUERY> | geo | SELECT traverse FROM river WHERE river_name = "ohio"; | which states does the ohio river pass 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 are the states that the ohio run through</question>
[SQL]:
| <SQL_QUERY>SELECT traverse FROM river WHERE river_name = "ohio";</SQL_QUERY> | geo | SELECT traverse FROM river WHERE river_name = "ohio"; | what are the states that the ohio run 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 state has the ohio river</question>
[SQL]:
| <SQL_QUERY>SELECT traverse FROM river WHERE river_name = "ohio";</SQL_QUERY> | geo | SELECT traverse FROM river WHERE river_name = "ohio"; | which state has the ohio 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 states have rivers named ohio</question>
[SQL]:
| <SQL_QUERY>SELECT traverse FROM river WHERE river_name = "ohio";</SQL_QUERY> | geo | SELECT traverse FROM river WHERE river_name = "ohio"; | what states have rivers named ohio | [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>through which states does the ohio flow</question>
[SQL]:
| <SQL_QUERY>SELECT traverse FROM river WHERE river_name = "ohio";</SQL_QUERY> | geo | SELECT traverse FROM river WHERE river_name = "ohio"; | through which states does the ohio flow | [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 states are next to the ohio</question>
[SQL]:
| <SQL_QUERY>SELECT traverse FROM river WHERE river_name = "ohio";</SQL_QUERY> | geo | SELECT traverse FROM river WHERE river_name = "ohio"; | what states are next to the ohio | [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>through which states does the ohio run</question>
[SQL]:
| <SQL_QUERY>SELECT traverse FROM river WHERE river_name = "ohio";</SQL_QUERY> | geo | SELECT traverse FROM river WHERE river_name = "ohio"; | through which states does the ohio run | [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 states does the ohio river go through</question>
[SQL]:
| <SQL_QUERY>SELECT traverse FROM river WHERE river_name = "ohio";</SQL_QUERY> | geo | SELECT traverse FROM river WHERE river_name = "ohio"; | what states does the ohio river go 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 state has the largest population</question>
[SQL]:
| <SQL_QUERY>SELECT state_name FROM state WHERE population = ( SELECT MAX ( population ) FROM state );</SQL_QUERY> | geo | SELECT state_name FROM state WHERE population = ( SELECT MAX ( population ) FROM state ); | what state 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 most populous state</question>
[SQL]:
| <SQL_QUERY>SELECT state_name FROM state WHERE population = ( SELECT MAX ( population ) FROM state );</SQL_QUERY> | geo | SELECT state_name FROM state WHERE population = ( SELECT MAX ( population ) FROM state ); | what is the most populous 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 state is the largest in population</question>
[SQL]:
| <SQL_QUERY>SELECT state_name FROM state WHERE population = ( SELECT MAX ( population ) FROM state );</SQL_QUERY> | geo | SELECT state_name FROM state WHERE population = ( SELECT MAX ( population ) FROM state ); | what state is the largest 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>which state has the biggest population</question>
[SQL]:
| <SQL_QUERY>SELECT state_name FROM state WHERE population = ( SELECT MAX ( population ) FROM state );</SQL_QUERY> | geo | SELECT state_name FROM state WHERE population = ( SELECT MAX ( population ) FROM state ); | which state has the biggest 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>which state has the greatest population</question>
[SQL]:
| <SQL_QUERY>SELECT state_name FROM state WHERE population = ( SELECT MAX ( population ) FROM state );</SQL_QUERY> | geo | SELECT state_name FROM state WHERE population = ( SELECT MAX ( population ) FROM state ); | which state has the greatest 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>which state has the most population</question>
[SQL]:
| <SQL_QUERY>SELECT state_name FROM state WHERE population = ( SELECT MAX ( population ) FROM state );</SQL_QUERY> | geo | SELECT state_name FROM state WHERE population = ( SELECT MAX ( population ) FROM state ); | which state has the most 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 state has the most people</question>
[SQL]:
| <SQL_QUERY>SELECT state_name FROM state WHERE population = ( SELECT MAX ( population ) FROM state );</SQL_QUERY> | geo | SELECT state_name FROM state WHERE population = ( SELECT MAX ( population ) FROM state ); | what state has the most people | [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 most people</question>
[SQL]:
| <SQL_QUERY>SELECT state_name FROM state WHERE population = ( SELECT MAX ( population ) FROM state );</SQL_QUERY> | geo | SELECT state_name FROM state WHERE population = ( SELECT MAX ( population ) FROM state ); | which state has the most people | [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 in the us</question>
[SQL]:
| <SQL_QUERY>SELECT state_name FROM state WHERE population = ( SELECT MAX ( population ) FROM state );</SQL_QUERY> | geo | SELECT state_name FROM state WHERE population = ( SELECT MAX ( population ) FROM state ); | what is the most populous state 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 state has the highest population</question>
[SQL]:
| <SQL_QUERY>SELECT state_name FROM state WHERE population = ( SELECT MAX ( population ) FROM state );</SQL_QUERY> | geo | SELECT state_name FROM state WHERE population = ( SELECT MAX ( population ) FROM state ); | what state has the highest 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 lowest elevation in pennsylvania</question>
[SQL]:
| <SQL_QUERY>SELECT lowest_elevation FROM highlow WHERE state_name = "pennsylvania";</SQL_QUERY> | geo | SELECT lowest_elevation FROM highlow WHERE state_name = "pennsylvania"; | what is the lowest elevation in pennsylvania | [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 each state whose lowest point is sea level</question>
[SQL]:
| <SQL_QUERY>SELECT highest_point , state_name FROM highlow WHERE lowest_elevation = 0;</SQL_QUERY> | geo | SELECT highest_point , state_name FROM highlow WHERE lowest_elevation = 0; | what is the highest point in each state whose lowest point is sea level | [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 length of the longest river in the usa</question>
[SQL]:
| <SQL_QUERY>SELECT LENGTH FROM river WHERE LENGTH = ( SELECT MAX ( LENGTH ) FROM river );</SQL_QUERY> | geo | SELECT LENGTH FROM river WHERE LENGTH = ( SELECT MAX ( LENGTH ) FROM river ); | what is the length of the longest river 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>how long is the longest river in the usa</question>
[SQL]:
| <SQL_QUERY>SELECT LENGTH FROM river WHERE LENGTH = ( SELECT MAX ( LENGTH ) FROM river );</SQL_QUERY> | geo | SELECT LENGTH FROM river WHERE LENGTH = ( SELECT MAX ( LENGTH ) FROM river ); | how long is the longest river 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 longest river flowing through texas</question>
[SQL]:
| <SQL_QUERY>SELECT river_name FROM river WHERE LENGTH = ( SELECT MAX ( LENGTH ) FROM river WHERE traverse = "texas" ) AND traverse = "texas";</SQL_QUERY> | geo | SELECT river_name FROM river WHERE LENGTH = ( SELECT MAX ( LENGTH ) FROM river WHERE traverse = "texas" ) AND traverse = "texas"; | what is the longest river flowing through 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 largest river in texas state</question>
[SQL]:
| <SQL_QUERY>SELECT river_name FROM river WHERE LENGTH = ( SELECT MAX ( LENGTH ) FROM river WHERE traverse = "texas" ) AND traverse = "texas";</SQL_QUERY> | geo | SELECT river_name FROM river WHERE LENGTH = ( SELECT MAX ( LENGTH ) FROM river WHERE traverse = "texas" ) AND traverse = "texas"; | what is the largest river in texas 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 texas</question>
[SQL]:
| <SQL_QUERY>SELECT river_name FROM river WHERE LENGTH = ( SELECT MAX ( LENGTH ) FROM river WHERE traverse = "texas" ) AND traverse = "texas";</SQL_QUERY> | geo | SELECT river_name FROM river WHERE LENGTH = ( SELECT MAX ( LENGTH ) FROM river WHERE traverse = "texas" ) AND traverse = "texas"; | what is the longest river in 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 biggest river in texas</question>
[SQL]:
| <SQL_QUERY>SELECT river_name FROM river WHERE LENGTH = ( SELECT MAX ( LENGTH ) FROM river WHERE traverse = "texas" ) AND traverse = "texas";</SQL_QUERY> | geo | SELECT river_name FROM river WHERE LENGTH = ( SELECT MAX ( LENGTH ) FROM river WHERE traverse = "texas" ) AND traverse = "texas"; | what is the biggest river in 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 longest river that flows through texas</question>
[SQL]:
| <SQL_QUERY>SELECT river_name FROM river WHERE LENGTH = ( SELECT MAX ( LENGTH ) FROM river WHERE traverse = "texas" ) AND traverse = "texas";</SQL_QUERY> | geo | SELECT river_name FROM river WHERE LENGTH = ( SELECT MAX ( LENGTH ) FROM river WHERE traverse = "texas" ) AND traverse = "texas"; | what is the longest river that flows through 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 are the biggest rivers in texas</question>
[SQL]:
| <SQL_QUERY>SELECT river_name FROM river WHERE LENGTH = ( SELECT MAX ( LENGTH ) FROM river WHERE traverse = "texas" ) AND traverse = "texas";</SQL_QUERY> | geo | SELECT river_name FROM river WHERE LENGTH = ( SELECT MAX ( LENGTH ) FROM river WHERE traverse = "texas" ) AND traverse = "texas"; | what are the biggest rivers in 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>how many rivers are in idaho</question>
[SQL]:
| <SQL_QUERY>SELECT COUNT ( river_name ) FROM river WHERE traverse = "idaho";</SQL_QUERY> | geo | SELECT COUNT ( river_name ) FROM river WHERE traverse = "idaho"; | how many rivers are in idaho | [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>give me the number of rivers in idaho</question>
[SQL]:
| <SQL_QUERY>SELECT COUNT ( river_name ) FROM river WHERE traverse = "idaho";</SQL_QUERY> | geo | SELECT COUNT ( river_name ) FROM river WHERE traverse = "idaho"; | give me the number of rivers in idaho | [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 rivers does idaho have</question>
[SQL]:
| <SQL_QUERY>SELECT COUNT ( river_name ) FROM river WHERE traverse = "idaho";</SQL_QUERY> | geo | SELECT COUNT ( river_name ) FROM river WHERE traverse = "idaho"; | how many rivers does idaho have | [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 rivers are there in idaho</question>
[SQL]:
| <SQL_QUERY>SELECT COUNT ( river_name ) FROM river WHERE traverse = "idaho";</SQL_QUERY> | geo | SELECT COUNT ( river_name ) FROM river WHERE traverse = "idaho"; | how many rivers are there in idaho | [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 rivers run through idaho</question>
[SQL]:
| <SQL_QUERY>SELECT COUNT ( river_name ) FROM river WHERE traverse = "idaho";</SQL_QUERY> | geo | SELECT COUNT ( river_name ) FROM river WHERE traverse = "idaho"; | how many rivers run through idaho | [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 rivers are found in idaho</question>
[SQL]:
| <SQL_QUERY>SELECT COUNT ( river_name ) FROM river WHERE traverse = "idaho";</SQL_QUERY> | geo | SELECT COUNT ( river_name ) FROM river WHERE traverse = "idaho"; | how many rivers are found in idaho | [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 rivers in idaho</question>
[SQL]:
| <SQL_QUERY>SELECT COUNT ( river_name ) FROM river WHERE traverse = "idaho";</SQL_QUERY> | geo | SELECT COUNT ( river_name ) FROM river WHERE traverse = "idaho"; | how many rivers in idaho | [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 states neighbor kentucky</question>
[SQL]:
| <SQL_QUERY>SELECT border FROM border_info WHERE state_name = "kentucky";</SQL_QUERY> | geo | SELECT border FROM border_info WHERE state_name = "kentucky"; | what states neighbor kentucky | [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 states border kentucky</question>
[SQL]:
| <SQL_QUERY>SELECT border FROM border_info WHERE state_name = "kentucky";</SQL_QUERY> | geo | SELECT border FROM border_info WHERE state_name = "kentucky"; | which states border kentucky | [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 states border kentucky</question>
[SQL]:
| <SQL_QUERY>SELECT border FROM border_info WHERE state_name = "kentucky";</SQL_QUERY> | geo | SELECT border FROM border_info WHERE state_name = "kentucky"; | what states border kentucky | [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>give me the states that border kentucky</question>
[SQL]:
| <SQL_QUERY>SELECT border FROM border_info WHERE state_name = "kentucky";</SQL_QUERY> | geo | SELECT border FROM border_info WHERE state_name = "kentucky"; | give me the states that border kentucky | [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 borders kentucky</question>
[SQL]:
| <SQL_QUERY>SELECT border FROM border_info WHERE state_name = "kentucky";</SQL_QUERY> | geo | SELECT border FROM border_info WHERE state_name = "kentucky"; | what state borders kentucky | [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 states are next to kentucky</question>
[SQL]:
| <SQL_QUERY>SELECT border FROM border_info WHERE state_name = "kentucky";</SQL_QUERY> | geo | SELECT border FROM border_info WHERE state_name = "kentucky"; | what states are next to kentucky | [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 states surround kentucky</question>
[SQL]:
| <SQL_QUERY>SELECT border FROM border_info WHERE state_name = "kentucky";</SQL_QUERY> | geo | SELECT border FROM border_info WHERE state_name = "kentucky"; | what states surround kentucky | [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 borders kentucky</question>
[SQL]:
| <SQL_QUERY>SELECT border FROM border_info WHERE state_name = "kentucky";</SQL_QUERY> | geo | SELECT border FROM border_info WHERE state_name = "kentucky"; | which state borders kentucky | [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 are the neighboring states for kentucky</question>
[SQL]:
| <SQL_QUERY>SELECT border FROM border_info WHERE state_name = "kentucky";</SQL_QUERY> | geo | SELECT border FROM border_info WHERE state_name = "kentucky"; | what are the neighboring states for kentucky | [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 states adjoin kentucky</question>
[SQL]:
| <SQL_QUERY>SELECT border FROM border_info WHERE state_name = "kentucky";</SQL_QUERY> | geo | SELECT border FROM border_info WHERE state_name = "kentucky"; | which states adjoin kentucky | [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>states bordering kentucky</question>
[SQL]:
| <SQL_QUERY>SELECT border FROM border_info WHERE state_name = "kentucky";</SQL_QUERY> | geo | SELECT border FROM border_info WHERE state_name = "kentucky"; | states bordering kentucky | [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 border kentucky</question>
[SQL]:
| <SQL_QUERY>SELECT border FROM border_info WHERE state_name = "kentucky";</SQL_QUERY> | geo | SELECT border FROM border_info WHERE state_name = "kentucky"; | which state border kentucky | [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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