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 rivers are in states that border alabama</question>
[SQL]:
| <SQL_QUERY>SELECT river_name FROM river WHERE traverse IN ( SELECT border FROM border_info WHERE state_name = "alabama" );</SQL_QUERY> | geo | SELECT river_name FROM river WHERE traverse IN ( SELECT border FROM border_info WHERE state_name = "alabama" ); | what rivers are in states that border alabama | [Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | 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 states bordering alabama</question>
[SQL]:
| <SQL_QUERY>SELECT river_name FROM river WHERE traverse IN ( SELECT border FROM border_info WHERE state_name = "alabama" );</SQL_QUERY> | geo | SELECT river_name FROM river WHERE traverse IN ( SELECT border FROM border_info WHERE state_name = "alabama" ); | which rivers run through states bordering alabama | [Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | 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 rivers flow through states that alabama borders</question>
[SQL]:
| <SQL_QUERY>SELECT river_name FROM river WHERE traverse IN ( SELECT border FROM border_info WHERE state_name = "alabama" );</SQL_QUERY> | geo | SELECT river_name FROM river WHERE traverse IN ( SELECT border FROM border_info WHERE state_name = "alabama" ); | what rivers flow through states that alabama borders | [Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | 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 bordering oklahoma has the largest population</question>
[SQL]:
| <SQL_QUERY>SELECT state_name FROM state WHERE state_name IN ( SELECT border FROM border_info WHERE state_name = "oklahoma" ) ORDER BY population DESC LIMIT 1;</SQL_QUERY> | geo | SELECT state_name FROM state WHERE state_name IN ( SELECT border FROM border_info WHERE state_name = "oklahoma" ) ORDER BY population DESC LIMIT 1; | what state bordering oklahoma 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>which of the states bordering oklahoma has the largest population</question>
[SQL]:
| <SQL_QUERY>SELECT state_name FROM state WHERE state_name IN ( SELECT border FROM border_info WHERE state_name = "oklahoma" ) ORDER BY population DESC LIMIT 1;</SQL_QUERY> | geo | SELECT state_name FROM state WHERE state_name IN ( SELECT border FROM border_info WHERE state_name = "oklahoma" ) ORDER BY population DESC LIMIT 1; | which of the states bordering oklahoma 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 state that borders oklahoma has the highest population</question>
[SQL]:
| <SQL_QUERY>SELECT state_name FROM state WHERE state_name IN ( SELECT border FROM border_info WHERE state_name = "oklahoma" ) ORDER BY population DESC LIMIT 1;</SQL_QUERY> | geo | SELECT state_name FROM state WHERE state_name IN ( SELECT border FROM border_info WHERE state_name = "oklahoma" ) ORDER BY population DESC LIMIT 1; | what state that borders oklahoma 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 most populated state bordering oklahoma</question>
[SQL]:
| <SQL_QUERY>SELECT state_name FROM state WHERE state_name IN ( SELECT border FROM border_info WHERE state_name = "oklahoma" ) ORDER BY population DESC LIMIT 1;</SQL_QUERY> | geo | SELECT state_name FROM state WHERE state_name IN ( SELECT border FROM border_info WHERE state_name = "oklahoma" ) ORDER BY population DESC LIMIT 1; | what is the most populated state bordering oklahoma | [Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | 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 contains the highest point of those the colorado river traverses</question>
[SQL]:
| <SQL_QUERY>SELECT state_name FROM highlow WHERE highest_elevation = ( SELECT MAX ( highest_elevation ) FROM highlow WHERE state_name IN ( SELECT traverse FROM river WHERE river_name = "colorado" ) );</SQL_QUERY> | geo | SELECT state_name FROM highlow WHERE highest_elevation = ( SELECT MAX ( highest_elevation ) FROM highlow WHERE state_name IN ( SELECT traverse FROM river WHERE river_name = "colorado" ) ); | what state contains the highest point of those the colorado river traverses | [Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | 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 capital</question>
[SQL]:
| <SQL_QUERY>SELECT state_name FROM city WHERE population = ( SELECT MAX ( t1.population ) FROM state AS t2 JOIN city AS t1 ON t2.capital = t1.city_name );</SQL_QUERY> | geo | SELECT state_name FROM city WHERE population = ( SELECT MAX ( t1.population ) FROM state AS t2 JOIN city AS t1 ON t2.capital = t1.city_name ); | what state has the largest capital | [Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number); | [Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name | [Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number);</schema>"
<primary_keys>[Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name</primary_keys>"
<foreign_keys>[Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name</foreign_keys>"
Answer the following question with a SQL Statement:<question>which state 's capital city is the largest</question>
[SQL]:
| <SQL_QUERY>SELECT state_name FROM city WHERE population = ( SELECT MAX ( t1.population ) FROM state AS t2 JOIN city AS t1 ON t2.capital = t1.city_name );</SQL_QUERY> | geo | SELECT state_name FROM city WHERE population = ( SELECT MAX ( t1.population ) FROM state AS t2 JOIN city AS t1 ON t2.capital = t1.city_name ); | which state 's capital city is the largest | [Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number); | [Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name | [Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number);</schema>"
<primary_keys>[Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name</primary_keys>"
<foreign_keys>[Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name</foreign_keys>"
Answer the following question with a SQL Statement:<question>what state has the longest river</question>
[SQL]:
| <SQL_QUERY>SELECT DISTINCT traverse FROM river WHERE LENGTH = ( SELECT MAX ( DISTINCT LENGTH ) FROM river );</SQL_QUERY> | geo | SELECT DISTINCT traverse FROM river WHERE LENGTH = ( SELECT MAX ( DISTINCT LENGTH ) FROM river ); | what state has the longest river | [Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number); | [Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name | [Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number);</schema>"
<primary_keys>[Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name</primary_keys>"
<foreign_keys>[Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name</foreign_keys>"
Answer the following question with a SQL Statement:<question>what state has the smallest urban population</question>
[SQL]:
| <SQL_QUERY>SELECT state_name FROM city GROUP BY state_name ORDER BY SUM ( population ) LIMIT 1;</SQL_QUERY> | geo | SELECT state_name FROM city GROUP BY state_name ORDER BY SUM ( population ) LIMIT 1; | what state has the smallest urban 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 states border states that border colorado</question>
[SQL]:
| <SQL_QUERY>SELECT border FROM border_info WHERE state_name IN ( SELECT border FROM border_info WHERE state_name = "colorado" );</SQL_QUERY> | geo | SELECT border FROM border_info WHERE state_name IN ( SELECT border FROM border_info WHERE state_name = "colorado" ); | what states border states that border colorado | [Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | 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 states that the mississippi runs through</question>
[SQL]:
| <SQL_QUERY>SELECT border FROM border_info WHERE state_name IN ( SELECT traverse FROM river WHERE river_name = "mississippi" );</SQL_QUERY> | geo | SELECT border FROM border_info WHERE state_name IN ( SELECT traverse FROM river WHERE river_name = "mississippi" ); | what states border states that the mississippi runs through | [Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number); | [Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name | [Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number);</schema>"
<primary_keys>[Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name</primary_keys>"
<foreign_keys>[Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name</foreign_keys>"
Answer the following question with a SQL Statement:<question>which states border states through which the mississippi traverses</question>
[SQL]:
| <SQL_QUERY>SELECT border FROM border_info WHERE state_name IN ( SELECT traverse FROM river WHERE river_name = "mississippi" );</SQL_QUERY> | geo | SELECT border FROM border_info WHERE state_name IN ( SELECT traverse FROM river WHERE river_name = "mississippi" ); | which states border states through which the mississippi traverses | [Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | 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 states which the mississippi runs through</question>
[SQL]:
| <SQL_QUERY>SELECT border FROM border_info WHERE state_name IN ( SELECT traverse FROM river WHERE river_name = "mississippi" );</SQL_QUERY> | geo | SELECT border FROM border_info WHERE state_name IN ( SELECT traverse FROM river WHERE river_name = "mississippi" ); | what states border states which the mississippi runs through | [Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number); | [Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name | [Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number);</schema>"
<primary_keys>[Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name</primary_keys>"
<foreign_keys>[Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name</foreign_keys>"
Answer the following question with a SQL Statement:<question>what states border texas and have a major river</question>
[SQL]:
| <SQL_QUERY>SELECT state_name FROM border_info WHERE border = "texas" AND state_name IN ( SELECT traverse FROM river WHERE LENGTH > 750 );</SQL_QUERY> | geo | SELECT state_name FROM border_info WHERE border = "texas" AND state_name IN ( SELECT traverse FROM river WHERE LENGTH > 750 ); | what states border texas and have a major 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 border the most populous state</question>
[SQL]:
| <SQL_QUERY>SELECT border FROM border_info WHERE state_name = ( SELECT state_name FROM state WHERE population = ( SELECT MAX ( population ) FROM state ) );</SQL_QUERY> | geo | SELECT border FROM border_info WHERE state_name = ( SELECT state_name FROM state WHERE population = ( SELECT MAX ( population ) FROM state ) ); | what states border 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 are the states that border the state with the greatest population</question>
[SQL]:
| <SQL_QUERY>SELECT border FROM border_info WHERE state_name = ( SELECT state_name FROM state WHERE population = ( SELECT MAX ( population ) FROM state ) );</SQL_QUERY> | geo | SELECT border FROM border_info WHERE state_name = ( SELECT state_name FROM state WHERE population = ( SELECT MAX ( population ) FROM state ) ); | what are the states that border the state with 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>what states border the state with the smallest area</question>
[SQL]:
| <SQL_QUERY>SELECT border FROM border_info WHERE state_name = ( SELECT state_name FROM state WHERE area = ( SELECT MIN ( area ) FROM state ) );</SQL_QUERY> | geo | SELECT border FROM border_info WHERE state_name = ( SELECT state_name FROM state WHERE area = ( SELECT MIN ( area ) FROM state ) ); | what states border the state with the smallest area | [Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number); | [Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name | [Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number);</schema>"
<primary_keys>[Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name</primary_keys>"
<foreign_keys>[Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name</foreign_keys>"
Answer the following question with a SQL Statement:<question>which states border the state with the smallest area</question>
[SQL]:
| <SQL_QUERY>SELECT border FROM border_info WHERE state_name = ( SELECT state_name FROM state WHERE area = ( SELECT MIN ( area ) FROM state ) );</SQL_QUERY> | geo | SELECT border FROM border_info WHERE state_name = ( SELECT state_name FROM state WHERE area = ( SELECT MIN ( area ) FROM state ) ); | which states border the state with the smallest area | [Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number); | [Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name | [Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number);</schema>"
<primary_keys>[Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name</primary_keys>"
<foreign_keys>[Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name</foreign_keys>"
Answer the following question with a SQL Statement:<question>what states contain at least one major rivers</question>
[SQL]:
| <SQL_QUERY>SELECT traverse FROM river WHERE LENGTH > 750;</SQL_QUERY> | geo | SELECT traverse FROM river WHERE LENGTH > 750; | what states contain at least one major rivers | [Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | 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 are mountains</question>
[SQL]:
| <SQL_QUERY>SELECT state_name FROM mountain;</SQL_QUERY> | geo | SELECT state_name FROM mountain; | where are mountains | [Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | 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 highest mountain of the united states</question>
[SQL]:
| <SQL_QUERY>SELECT state_name FROM mountain WHERE mountain_altitude = ( SELECT MAX ( mountain_altitude ) FROM mountain );</SQL_QUERY> | geo | SELECT state_name FROM mountain WHERE mountain_altitude = ( SELECT MAX ( mountain_altitude ) FROM mountain ); | where is the highest mountain of the united states | [Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number); | [Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name | [Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number);</schema>"
<primary_keys>[Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name</primary_keys>"
<foreign_keys>[Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name</foreign_keys>"
Answer the following question with a SQL Statement:<question>which state has the highest peak in the country</question>
[SQL]:
| <SQL_QUERY>SELECT state_name FROM mountain WHERE mountain_altitude = ( SELECT MAX ( mountain_altitude ) FROM mountain );</SQL_QUERY> | geo | SELECT state_name FROM mountain WHERE mountain_altitude = ( SELECT MAX ( mountain_altitude ) FROM mountain ); | which state has the highest peak in the country | [Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number); | [Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name | [Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number);</schema>"
<primary_keys>[Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name</primary_keys>"
<foreign_keys>[Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name</foreign_keys>"
Answer the following question with a SQL Statement:<question>where is the smallest city</question>
[SQL]:
| <SQL_QUERY>SELECT state_name FROM city WHERE population = ( SELECT MIN ( population ) FROM city );</SQL_QUERY> | geo | SELECT state_name FROM city WHERE population = ( SELECT MIN ( population ) FROM city ); | where is the smallest city | [Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number); | [Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name | [Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number);</schema>"
<primary_keys>[Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name</primary_keys>"
<foreign_keys>[Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name</foreign_keys>"
Answer the following question with a SQL Statement:<question>which is the density of the state that the largest river in the united states runs through</question>
[SQL]:
| <SQL_QUERY>SELECT density FROM state WHERE state_name IN ( SELECT traverse FROM river WHERE LENGTH = ( SELECT MAX ( LENGTH ) FROM river ) );</SQL_QUERY> | geo | SELECT density FROM state WHERE state_name IN ( SELECT traverse FROM river WHERE LENGTH = ( SELECT MAX ( LENGTH ) FROM river ) ); | which is the density of the state that the largest river in the united states runs through | [Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number); | [Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name | [Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number);</schema>"
<primary_keys>[Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name</primary_keys>"
<foreign_keys>[Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name</foreign_keys>"
Answer the following question with a SQL Statement:<question>which is the highest peak not in alaska</question>
[SQL]:
| <SQL_QUERY>SELECT mountain_name FROM mountain WHERE mountain_altitude = ( SELECT MAX ( mountain_altitude ) FROM mountain WHERE state_name != "alaska" );</SQL_QUERY> | geo | SELECT mountain_name FROM mountain WHERE mountain_altitude = ( SELECT MAX ( mountain_altitude ) FROM mountain WHERE state_name != "alaska" ); | which is the highest peak not in alaska | [Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | 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 do not run through tennessee</question>
[SQL]:
| <SQL_QUERY>SELECT river_name FROM river WHERE river_name NOT IN ( SELECT river_name FROM river WHERE traverse = "tennessee" );</SQL_QUERY> | geo | SELECT river_name FROM river WHERE river_name NOT IN ( SELECT river_name FROM river WHERE traverse = "tennessee" ); | which rivers do not run through tennessee | [Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number); | [Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name | [Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number);</schema>"
<primary_keys>[Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name</primary_keys>"
<foreign_keys>[Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name</foreign_keys>"
Answer the following question with a SQL Statement:<question>what rivers do not run through tennessee</question>
[SQL]:
| <SQL_QUERY>SELECT river_name FROM river WHERE river_name NOT IN ( SELECT river_name FROM river WHERE traverse = "tennessee" );</SQL_QUERY> | geo | SELECT river_name FROM river WHERE river_name NOT IN ( SELECT river_name FROM river WHERE traverse = "tennessee" ); | what rivers do not run through tennessee | [Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number); | [Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name | [Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number);</schema>"
<primary_keys>[Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name</primary_keys>"
<foreign_keys>[Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name</foreign_keys>"
Answer the following question with a SQL Statement:<question>which rivers do not run through usa</question>
[SQL]:
| <SQL_QUERY>SELECT river_name FROM river WHERE country_name != "usa";</SQL_QUERY> | geo | SELECT river_name FROM river WHERE country_name != "usa"; | which rivers do not run through 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 rivers run through states that border the state with the capital atlanta</question>
[SQL]:
| <SQL_QUERY>SELECT river_name FROM river WHERE traverse IN ( SELECT border FROM border_info WHERE state_name IN ( SELECT state_name FROM state WHERE capital = "atlanta" ) );</SQL_QUERY> | geo | SELECT river_name FROM river WHERE traverse IN ( SELECT border FROM border_info WHERE state_name IN ( SELECT state_name FROM state WHERE capital = "atlanta" ) ); | which rivers run through states that border the state with the capital atlanta | [Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | 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 rivers run through the states that border the state with the capital atlanta</question>
[SQL]:
| <SQL_QUERY>SELECT river_name FROM river WHERE traverse IN ( SELECT border FROM border_info WHERE state_name IN ( SELECT state_name FROM state WHERE capital = "atlanta" ) );</SQL_QUERY> | geo | SELECT river_name FROM river WHERE traverse IN ( SELECT border FROM border_info WHERE state_name IN ( SELECT state_name FROM state WHERE capital = "atlanta" ) ); | what rivers run through the states that border the state with the capital atlanta | [Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | 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 capital has the smallest population</question>
[SQL]:
| <SQL_QUERY>SELECT city_name FROM city WHERE population = ( SELECT MIN ( t1.population ) FROM state AS t2 JOIN city AS t1 ON t2.capital = t1.city_name );</SQL_QUERY> | geo | SELECT city_name FROM city WHERE population = ( SELECT MIN ( t1.population ) FROM state AS t2 JOIN city AS t1 ON t2.capital = t1.city_name ); | which state capital 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>which state has the highest elevation</question>
[SQL]:
| <SQL_QUERY>SELECT state_name FROM highlow WHERE highest_elevation = ( SELECT MAX ( highest_elevation ) FROM highlow );</SQL_QUERY> | geo | SELECT state_name FROM highlow WHERE highest_elevation = ( SELECT MAX ( highest_elevation ) FROM highlow ); | which state has the highest elevation | [Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number); | [Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name | [Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number);</schema>"
<primary_keys>[Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name</primary_keys>"
<foreign_keys>[Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name</foreign_keys>"
Answer the following question with a SQL Statement:<question>which state has the highest point</question>
[SQL]:
| <SQL_QUERY>SELECT state_name FROM highlow WHERE highest_elevation = ( SELECT MAX ( highest_elevation ) FROM highlow );</SQL_QUERY> | geo | SELECT state_name FROM highlow WHERE highest_elevation = ( SELECT MAX ( highest_elevation ) FROM highlow ); | which state has the highest point | [Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | 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 elevation</question>
[SQL]:
| <SQL_QUERY>SELECT state_name FROM highlow WHERE highest_elevation = ( SELECT MAX ( highest_elevation ) FROM highlow );</SQL_QUERY> | geo | SELECT state_name FROM highlow WHERE highest_elevation = ( SELECT MAX ( highest_elevation ) FROM highlow ); | what state has the highest elevation | [Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | 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>in which state does the highest point in usa exist</question>
[SQL]:
| <SQL_QUERY>SELECT state_name FROM highlow WHERE highest_elevation = ( SELECT MAX ( highest_elevation ) FROM highlow );</SQL_QUERY> | geo | SELECT state_name FROM highlow WHERE highest_elevation = ( SELECT MAX ( highest_elevation ) FROM highlow ); | in which state does the highest point in usa exist | [Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | 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 highest elevation</question>
[SQL]:
| <SQL_QUERY>SELECT state_name FROM highlow WHERE highest_elevation = ( SELECT MAX ( highest_elevation ) FROM highlow );</SQL_QUERY> | geo | SELECT state_name FROM highlow WHERE highest_elevation = ( SELECT MAX ( highest_elevation ) FROM highlow ); | what state has highest elevation | [Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | 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 highest elevation in the united states</question>
[SQL]:
| <SQL_QUERY>SELECT state_name FROM highlow WHERE highest_elevation = ( SELECT MAX ( highest_elevation ) FROM highlow );</SQL_QUERY> | geo | SELECT state_name FROM highlow WHERE highest_elevation = ( SELECT MAX ( highest_elevation ) FROM highlow ); | what is the state with the highest elevation in the united states | [Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number); | [Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name | [Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number);</schema>"
<primary_keys>[Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name</primary_keys>"
<foreign_keys>[Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name</foreign_keys>"
Answer the following question with a SQL Statement:<question>what is the state that contains the highest point</question>
[SQL]:
| <SQL_QUERY>SELECT state_name FROM highlow WHERE highest_elevation = ( SELECT MAX ( highest_elevation ) FROM highlow );</SQL_QUERY> | geo | SELECT state_name FROM highlow WHERE highest_elevation = ( SELECT MAX ( highest_elevation ) FROM highlow ); | what is the state that contains the highest point | [Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | 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 contains the highest point in the us</question>
[SQL]:
| <SQL_QUERY>SELECT state_name FROM highlow WHERE highest_elevation = ( SELECT MAX ( highest_elevation ) FROM highlow );</SQL_QUERY> | geo | SELECT state_name FROM highlow WHERE highest_elevation = ( SELECT MAX ( highest_elevation ) FROM highlow ); | what state contains the highest point in the us | [Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number); | [Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name | [Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number);</schema>"
<primary_keys>[Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name</primary_keys>"
<foreign_keys>[Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name</foreign_keys>"
Answer the following question with a SQL Statement:<question>which state has the lowest elevation</question>
[SQL]:
| <SQL_QUERY>SELECT state_name FROM highlow WHERE lowest_elevation = ( SELECT MIN ( lowest_elevation ) FROM highlow );</SQL_QUERY> | geo | SELECT state_name FROM highlow WHERE lowest_elevation = ( SELECT MIN ( lowest_elevation ) FROM highlow ); | which state has the lowest elevation | [Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | 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 name of the state with the lowest point</question>
[SQL]:
| <SQL_QUERY>SELECT state_name FROM highlow WHERE lowest_elevation = ( SELECT MIN ( lowest_elevation ) FROM highlow );</SQL_QUERY> | geo | SELECT state_name FROM highlow WHERE lowest_elevation = ( SELECT MIN ( lowest_elevation ) FROM highlow ); | what is the name of the state with the lowest point | [Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | 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 point</question>
[SQL]:
| <SQL_QUERY>SELECT state_name FROM highlow WHERE lowest_elevation = ( SELECT MIN ( lowest_elevation ) FROM highlow );</SQL_QUERY> | geo | SELECT state_name FROM highlow WHERE lowest_elevation = ( SELECT MIN ( lowest_elevation ) FROM highlow ); | what is the state with the lowest point | [Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | 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 lowest point that borders idaho</question>
[SQL]:
| <SQL_QUERY>SELECT state_name FROM highlow WHERE lowest_elevation = ( SELECT MIN ( lowest_elevation ) FROM highlow WHERE state_name IN ( SELECT border FROM border_info WHERE state_name = "idaho" ) ) AND state_name IN ( SELECT border FROM border_info WHERE state_name = "idaho" );</SQL_QUERY> | geo | SELECT state_name FROM highlow WHERE lowest_elevation = ( SELECT MIN ( lowest_elevation ) FROM highlow WHERE state_name IN ( SELECT border FROM border_info WHERE state_name = "idaho" ) ) AND state_name IN ( SELECT border FROM border_info WHERE state_name = "idaho" ); | which state has the lowest point that borders 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>which state has the smallest average urban population</question>
[SQL]:
| <SQL_QUERY>SELECT state_name FROM city GROUP BY state_name ORDER BY AVG ( population ) LIMIT 1;</SQL_QUERY> | geo | SELECT state_name FROM city GROUP BY state_name ORDER BY AVG ( population ) LIMIT 1; | which state has the smallest average urban 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 is mount whitney in</question>
[SQL]:
| <SQL_QUERY>SELECT state_name FROM mountain WHERE mountain_name = "whitney";</SQL_QUERY> | geo | SELECT state_name FROM mountain WHERE mountain_name = "whitney"; | which state is mount whitney in | [Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | 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>in what state is mount whitney</question>
[SQL]:
| <SQL_QUERY>SELECT state_name FROM mountain WHERE mountain_name = "whitney";</SQL_QUERY> | geo | SELECT state_name FROM mountain WHERE mountain_name = "whitney"; | in what state is mount whitney | [Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | 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 mount whitney</question>
[SQL]:
| <SQL_QUERY>SELECT state_name FROM mountain WHERE mountain_name = "whitney";</SQL_QUERY> | geo | SELECT state_name FROM mountain WHERE mountain_name = "whitney"; | where is mount whitney | [Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | 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 mount whitney located</question>
[SQL]:
| <SQL_QUERY>SELECT state_name FROM mountain WHERE mountain_name = "whitney";</SQL_QUERY> | geo | SELECT state_name FROM mountain WHERE mountain_name = "whitney"; | where is mount whitney located | [Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | 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 have a river</question>
[SQL]:
| <SQL_QUERY>SELECT traverse FROM river;</SQL_QUERY> | geo | SELECT traverse FROM river; | which states have a 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 running through them</question>
[SQL]:
| <SQL_QUERY>SELECT traverse FROM river;</SQL_QUERY> | geo | SELECT traverse FROM river; | what states have rivers running through them | [Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | 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 have a major city named austin</question>
[SQL]:
| <SQL_QUERY>SELECT state_name FROM city WHERE city_name = "austin" AND population > 150000;</SQL_QUERY> | geo | SELECT state_name FROM city WHERE city_name = "austin" AND population > 150000; | which states have a major city named austin | [Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | 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 a state that borders california</question>
[SQL]:
| <SQL_QUERY>SELECT city_name FROM city WHERE population = ( SELECT MAX ( population ) FROM city WHERE state_name IN ( SELECT border FROM border_info WHERE state_name = "california" ) ) AND state_name IN ( SELECT border FROM border_info WHERE state_name = "california" );</SQL_QUERY> | geo | SELECT city_name FROM city WHERE population = ( SELECT MAX ( population ) FROM city WHERE state_name IN ( SELECT border FROM border_info WHERE state_name = "california" ) ) AND state_name IN ( SELECT border FROM border_info WHERE state_name = "california" ); | what is the largest city in a state that borders california | [Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number); | [Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name | [Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number);</schema>"
<primary_keys>[Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name</primary_keys>"
<foreign_keys>[Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name</foreign_keys>"
Answer the following question with a SQL Statement:<question>what is the largest city in states that border california</question>
[SQL]:
| <SQL_QUERY>SELECT city_name FROM city WHERE population = ( SELECT MAX ( population ) FROM city WHERE state_name IN ( SELECT border FROM border_info WHERE state_name = "california" ) ) AND state_name IN ( SELECT border FROM border_info WHERE state_name = "california" );</SQL_QUERY> | geo | SELECT city_name FROM city WHERE population = ( SELECT MAX ( population ) FROM city WHERE state_name IN ( SELECT border FROM border_info WHERE state_name = "california" ) ) AND state_name IN ( SELECT border FROM border_info WHERE state_name = "california" ); | what is the largest city in states that border 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 rivers do not traverse the state with the capital albany</question>
[SQL]:
| <SQL_QUERY>SELECT COUNT ( river_name ) FROM river WHERE traverse NOT IN ( SELECT state_name FROM state WHERE capital = "albany" );</SQL_QUERY> | geo | SELECT COUNT ( river_name ) FROM river WHERE traverse NOT IN ( SELECT state_name FROM state WHERE capital = "albany" ); | how many rivers do not traverse 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>what is the shortest river in texas</question>
[SQL]:
| <SQL_QUERY>SELECT river_name FROM river WHERE LENGTH = ( SELECT MIN ( LENGTH ) FROM river WHERE traverse = "texas" ) AND traverse = "texas";</SQL_QUERY> | geo | SELECT river_name FROM river WHERE LENGTH = ( SELECT MIN ( LENGTH ) FROM river WHERE traverse = "texas" ) AND traverse = "texas"; | what is the shortest 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 are the major cities in the smallest state in the us</question>
[SQL]:
| <SQL_QUERY>SELECT city_name FROM city WHERE population > 150000 AND state_name = ( SELECT state_name FROM state WHERE area = ( SELECT MIN ( area ) FROM state ) );</SQL_QUERY> | geo | SELECT city_name FROM city WHERE population > 150000 AND state_name = ( SELECT state_name FROM state WHERE area = ( SELECT MIN ( area ) FROM state ) ); | what are the major cities in the smallest 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 is the population of the capital of the largest state through which the mississippi runs</question>
[SQL]:
| <SQL_QUERY>SELECT population FROM city WHERE city_name = ( SELECT capital FROM state WHERE area = ( SELECT MAX ( t1.area ) FROM state AS t1 JOIN river AS t2 ON t1.state_name = t2.traverse WHERE t2.river_name = "mississippi" ) );</SQL_QUERY> | geo | SELECT population FROM city WHERE city_name = ( SELECT capital FROM state WHERE area = ( SELECT MAX ( t1.area ) FROM state AS t1 JOIN river AS t2 ON t1.state_name = t2.traverse WHERE t2.river_name = "mississippi" ) ); | what is the population of the capital of the largest state through which the mississippi runs | [Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number); | [Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name | [Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number);</schema>"
<primary_keys>[Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name</primary_keys>"
<foreign_keys>[Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name</foreign_keys>"
Answer the following question with a SQL Statement:<question>what is the shortest river in the usa</question>
[SQL]:
| <SQL_QUERY>SELECT river_name FROM river WHERE LENGTH = ( SELECT MIN ( LENGTH ) FROM river );</SQL_QUERY> | geo | SELECT river_name FROM river WHERE LENGTH = ( SELECT MIN ( LENGTH ) FROM river ); | what is the shortest 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 shortest river</question>
[SQL]:
| <SQL_QUERY>SELECT river_name FROM river WHERE LENGTH = ( SELECT MIN ( LENGTH ) FROM river );</SQL_QUERY> | geo | SELECT river_name FROM river WHERE LENGTH = ( SELECT MIN ( LENGTH ) FROM river ); | what is the shortest river | [Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number); | [Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name | [Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number);</schema>"
<primary_keys>[Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name</primary_keys>"
<foreign_keys>[Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name</foreign_keys>"
Answer the following question with a SQL Statement:<question>what is the shortest river in the us</question>
[SQL]:
| <SQL_QUERY>SELECT river_name FROM river WHERE LENGTH = ( SELECT MIN ( LENGTH ) FROM river );</SQL_QUERY> | geo | SELECT river_name FROM river WHERE LENGTH = ( SELECT MIN ( LENGTH ) FROM river ); | what is the shortest river in the us | [Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number); | [Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name | [Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number);</schema>"
<primary_keys>[Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name</primary_keys>"
<foreign_keys>[Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name</foreign_keys>"
Answer the following question with a SQL Statement:<question>what is the shortest river in the united states</question>
[SQL]:
| <SQL_QUERY>SELECT river_name FROM river WHERE LENGTH = ( SELECT MIN ( LENGTH ) FROM river );</SQL_QUERY> | geo | SELECT river_name FROM river WHERE LENGTH = ( SELECT MIN ( LENGTH ) FROM river ); | what is the shortest river in the united states | [Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number); | [Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name | [Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number);</schema>"
<primary_keys>[Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name</primary_keys>"
<foreign_keys>[Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name</foreign_keys>"
Answer the following question with a SQL Statement:<question>which is the shortest river</question>
[SQL]:
| <SQL_QUERY>SELECT river_name FROM river WHERE LENGTH = ( SELECT MIN ( LENGTH ) FROM river );</SQL_QUERY> | geo | SELECT river_name FROM river WHERE LENGTH = ( SELECT MIN ( LENGTH ) FROM river ); | which is the shortest river | [Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number); | [Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name | [Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number);</schema>"
<primary_keys>[Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name</primary_keys>"
<foreign_keys>[Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name</foreign_keys>"
Answer the following question with a SQL Statement:<question>what is the capital of the state that borders the state that borders texas</question>
[SQL]:
| <SQL_QUERY>SELECT capital FROM state WHERE state_name IN ( SELECT border FROM border_info WHERE state_name IN ( SELECT border FROM border_info WHERE state_name = "texas" ) );</SQL_QUERY> | geo | SELECT capital FROM state WHERE state_name IN ( SELECT border FROM border_info WHERE state_name IN ( SELECT border FROM border_info WHERE state_name = "texas" ) ); | what is the capital of the state that borders the state that borders texas | [Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number); | [Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name | [Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number);</schema>"
<primary_keys>[Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name</primary_keys>"
<foreign_keys>[Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name</foreign_keys>"
Answer the following question with a SQL Statement:<question>what is the smallest city of the smallest state in the us</question>
[SQL]:
| <SQL_QUERY>SELECT city_name FROM city WHERE population = ( SELECT MIN ( population ) FROM city WHERE state_name IN ( SELECT state_name FROM state WHERE area = ( SELECT MIN ( area ) FROM state ) ) ) AND state_name IN ( SELECT state_name FROM state WHERE area = ( SELECT MIN ( area ) FROM state ) );</SQL_QUERY> | geo | SELECT city_name FROM city WHERE population = ( SELECT MIN ( population ) FROM city WHERE state_name IN ( SELECT state_name FROM state WHERE area = ( SELECT MIN ( area ) FROM state ) ) ) AND state_name IN ( SELECT state_name FROM state WHERE area = ( SELECT MIN ( area ) FROM state ) ); | what is the smallest city of the smallest 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 is the population of the largest state that borders texas</question>
[SQL]:
| <SQL_QUERY>SELECT population FROM state WHERE area = ( SELECT MAX ( area ) FROM state WHERE state_name IN ( SELECT border FROM border_info WHERE state_name = "texas" ) ) AND state_name IN ( SELECT border FROM border_info WHERE state_name = "texas" );</SQL_QUERY> | geo | SELECT population FROM state WHERE area = ( SELECT MAX ( area ) FROM state WHERE state_name IN ( SELECT border FROM border_info WHERE state_name = "texas" ) ) AND state_name IN ( SELECT border FROM border_info WHERE state_name = "texas" ); | what is the population of the largest state that borders texas | [Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number); | [Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name | [Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number);</schema>"
<primary_keys>[Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name</primary_keys>"
<foreign_keys>[Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name</foreign_keys>"
Answer the following question with a SQL Statement:<question>what state is salem the capital of</question>
[SQL]:
| <SQL_QUERY>SELECT state_name FROM state WHERE capital = "salem";</SQL_QUERY> | geo | SELECT state_name FROM state WHERE capital = "salem"; | what state is salem the capital of | [Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | 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 capital is salem</question>
[SQL]:
| <SQL_QUERY>SELECT state_name FROM state WHERE capital = "salem";</SQL_QUERY> | geo | SELECT state_name FROM state WHERE capital = "salem"; | what states capital is salem | [Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | 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>salem is the capital of which state</question>
[SQL]:
| <SQL_QUERY>SELECT state_name FROM state WHERE capital = "salem";</SQL_QUERY> | geo | SELECT state_name FROM state WHERE capital = "salem"; | salem is the capital of which 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 has the capital salem</question>
[SQL]:
| <SQL_QUERY>SELECT state_name FROM state WHERE capital = "salem";</SQL_QUERY> | geo | SELECT state_name FROM state WHERE capital = "salem"; | what state has the capital salem | [Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | 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 rivers flow through the state with the largest population</question>
[SQL]:
| <SQL_QUERY>SELECT river_name FROM river WHERE traverse IN ( SELECT state_name FROM state WHERE population = ( SELECT MAX ( population ) FROM state ) );</SQL_QUERY> | geo | SELECT river_name FROM river WHERE traverse IN ( SELECT state_name FROM state WHERE population = ( SELECT MAX ( population ) FROM state ) ); | what rivers flow through the state with the largest population | [Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number); | [Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name | [Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number);</schema>"
<primary_keys>[Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name</primary_keys>"
<foreign_keys>[Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name</foreign_keys>"
Answer the following question with a SQL Statement:<question>what is the largest state that borders the state with the highest population</question>
[SQL]:
| <SQL_QUERY>SELECT state_name FROM state WHERE area = ( SELECT MAX ( area ) FROM state WHERE state_name IN ( SELECT state_name FROM border_info WHERE border IN ( SELECT state_name FROM state WHERE population = ( SELECT MAX ( population ) FROM state ) ) ) ) AND state_name IN ( SELECT state_name FROM border_info WHERE border IN ( SELECT state_name FROM state WHERE population = ( SELECT MAX ( population ) FROM state ) ) );</SQL_QUERY> | geo | SELECT state_name FROM state WHERE area = ( SELECT MAX ( area ) FROM state WHERE state_name IN ( SELECT state_name FROM border_info WHERE border IN ( SELECT state_name FROM state WHERE population = ( SELECT MAX ( population ) FROM state ) ) ) ) AND state_name IN ( SELECT state_name FROM border_info WHERE border IN ( SELECT state_name FROM state WHERE population = ( SELECT MAX ( population ) FROM state ) ) ); | what is the largest state that borders the state with 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>how many rivers are there in us</question>
[SQL]:
| <SQL_QUERY>SELECT COUNT ( river_name ) FROM river;</SQL_QUERY> | geo | SELECT COUNT ( river_name ) FROM river; | how many rivers are there in us | [Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number); | [Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name | [Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number);</schema>"
<primary_keys>[Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name</primary_keys>"
<foreign_keys>[Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name</foreign_keys>"
Answer the following question with a SQL Statement:<question>name the 50 capitals in the usa</question>
[SQL]:
| <SQL_QUERY>SELECT DISTINCT capital FROM state;</SQL_QUERY> | geo | SELECT DISTINCT capital FROM state; | name the 50 capitals 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 many states have a city named springfield</question>
[SQL]:
| <SQL_QUERY>SELECT COUNT ( state_name ) FROM city WHERE city_name = "springfield";</SQL_QUERY> | geo | SELECT COUNT ( state_name ) FROM city WHERE city_name = "springfield"; | how many states have a city named springfield | [Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | 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 states have a city called springfield</question>
[SQL]:
| <SQL_QUERY>SELECT COUNT ( state_name ) FROM city WHERE city_name = "springfield";</SQL_QUERY> | geo | SELECT COUNT ( state_name ) FROM city WHERE city_name = "springfield"; | how many states have a city called springfield | [Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | 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 states have cities named springfield</question>
[SQL]:
| <SQL_QUERY>SELECT COUNT ( state_name ) FROM city WHERE city_name = "springfield";</SQL_QUERY> | geo | SELECT COUNT ( state_name ) FROM city WHERE city_name = "springfield"; | how many states have cities named springfield | [Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | 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 states have cities or towns named springfield</question>
[SQL]:
| <SQL_QUERY>SELECT COUNT ( state_name ) FROM city WHERE city_name = "springfield";</SQL_QUERY> | geo | SELECT COUNT ( state_name ) FROM city WHERE city_name = "springfield"; | how many states have cities or towns named springfield | [Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | 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 the state with the smallest population</question>
[SQL]:
| <SQL_QUERY>SELECT border FROM border_info WHERE state_name IN ( SELECT state_name FROM state WHERE population = ( SELECT MIN ( population ) FROM state ) );</SQL_QUERY> | geo | SELECT border FROM border_info WHERE state_name IN ( SELECT state_name FROM state WHERE population = ( SELECT MIN ( population ) FROM state ) ); | what state borders the state with the smallest population | [Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number); | [Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name | [Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number);</schema>"
<primary_keys>[Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name</primary_keys>"
<foreign_keys>[Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name</foreign_keys>"
Answer the following question with a SQL Statement:<question>what are the lakes in states bordering texas</question>
[SQL]:
| <SQL_QUERY>SELECT lake_name FROM lake WHERE state_name IN ( SELECT border FROM border_info WHERE state_name = "texas" );</SQL_QUERY> | geo | SELECT lake_name FROM lake WHERE state_name IN ( SELECT border FROM border_info WHERE state_name = "texas" ); | what are the lakes in states bordering texas | [Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number); | [Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name | [Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number);</schema>"
<primary_keys>[Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name</primary_keys>"
<foreign_keys>[Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name</foreign_keys>"
Answer the following question with a SQL Statement:<question>how many major cities are in texas</question>
[SQL]:
| <SQL_QUERY>SELECT COUNT ( city_name ) FROM city WHERE population > 150000 AND state_name = "texas";</SQL_QUERY> | geo | SELECT COUNT ( city_name ) FROM city WHERE population > 150000 AND state_name = "texas"; | how many major 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>how many big cities are in texas</question>
[SQL]:
| <SQL_QUERY>SELECT COUNT ( city_name ) FROM city WHERE population > 150000 AND state_name = "texas";</SQL_QUERY> | geo | SELECT COUNT ( city_name ) FROM city WHERE population > 150000 AND state_name = "texas"; | how many big 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>how many major cities are there in texas</question>
[SQL]:
| <SQL_QUERY>SELECT COUNT ( city_name ) FROM city WHERE population > 150000 AND state_name = "texas";</SQL_QUERY> | geo | SELECT COUNT ( city_name ) FROM city WHERE population > 150000 AND state_name = "texas"; | how many major cities are there 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 high are the highest points of all the states</question>
[SQL]:
| <SQL_QUERY>SELECT highest_elevation FROM highlow;</SQL_QUERY> | geo | SELECT highest_elevation FROM highlow; | how high are the highest points of all 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>how many states does the missouri run through</question>
[SQL]:
| <SQL_QUERY>SELECT COUNT ( traverse ) FROM river WHERE river_name = "missouri";</SQL_QUERY> | geo | SELECT COUNT ( traverse ) FROM river WHERE river_name = "missouri"; | how many states does the missouri 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>how many states does the missouri river flow through</question>
[SQL]:
| <SQL_QUERY>SELECT COUNT ( traverse ) FROM river WHERE river_name = "missouri";</SQL_QUERY> | geo | SELECT COUNT ( traverse ) FROM river WHERE river_name = "missouri"; | how many states does the missouri 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>how many states does the missouri river run through</question>
[SQL]:
| <SQL_QUERY>SELECT COUNT ( traverse ) FROM river WHERE river_name = "missouri";</SQL_QUERY> | geo | SELECT COUNT ( traverse ) FROM river WHERE river_name = "missouri"; | how many states does the missouri 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 is the longest river in the smallest state in the usa</question>
[SQL]:
| <SQL_QUERY>SELECT river_name FROM river WHERE LENGTH = ( SELECT MAX ( LENGTH ) FROM river WHERE traverse IN ( SELECT state_name FROM state WHERE area = ( SELECT MIN ( area ) FROM state ) ) ) AND traverse IN ( SELECT state_name FROM state WHERE area = ( SELECT MIN ( area ) FROM state ) );</SQL_QUERY> | geo | SELECT river_name FROM river WHERE LENGTH = ( SELECT MAX ( LENGTH ) FROM river WHERE traverse IN ( SELECT state_name FROM state WHERE area = ( SELECT MIN ( area ) FROM state ) ) ) AND traverse IN ( SELECT state_name FROM state WHERE area = ( SELECT MIN ( area ) FROM state ) ); | what is the longest river in the smallest state in the usa | [Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number); | [Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name | [Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number);</schema>"
<primary_keys>[Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name</primary_keys>"
<foreign_keys>[Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name</foreign_keys>"
Answer the following question with a SQL Statement:<question>what is the average population per square km in pennsylvania</question>
[SQL]:
| <SQL_QUERY>SELECT population / area FROM state WHERE state_name = "pennsylvania";</SQL_QUERY> | geo | SELECT population / area FROM state WHERE state_name = "pennsylvania"; | what is the average population per square km 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 states border states that border states that border florida</question>
[SQL]:
| <SQL_QUERY>SELECT border FROM border_info WHERE state_name IN ( SELECT border FROM border_info WHERE state_name IN ( SELECT border FROM border_info WHERE state_name = "florida" ) );</SQL_QUERY> | geo | SELECT border FROM border_info WHERE state_name IN ( SELECT border FROM border_info WHERE state_name IN ( SELECT border FROM border_info WHERE state_name = "florida" ) ); | what states border states that border states that border florida | [Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | 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 states border at least one other state</question>
[SQL]:
| <SQL_QUERY>SELECT COUNT ( DISTINCT state_name ) FROM border_info;</SQL_QUERY> | geo | SELECT COUNT ( DISTINCT state_name ) FROM border_info; | how many states border at least one other 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 height of the highest mountain in texas</question>
[SQL]:
| <SQL_QUERY>SELECT MAX ( DISTINCT highest_elevation ) FROM highlow WHERE state_name = "texas";</SQL_QUERY> | geo | SELECT MAX ( DISTINCT highest_elevation ) FROM highlow WHERE state_name = "texas"; | what is the height of the highest mountain 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 states border colorado and border new mexico</question>
[SQL]:
| <SQL_QUERY>SELECT COUNT ( border ) FROM border_info WHERE border IN ( SELECT border FROM border_info WHERE state_name = "new mexico" ) AND state_name = "colorado";</SQL_QUERY> | geo | SELECT COUNT ( border ) FROM border_info WHERE border IN ( SELECT border FROM border_info WHERE state_name = "new mexico" ) AND state_name = "colorado"; | how many states border colorado and border 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 many major cities are in states bordering nebraska</question>
[SQL]:
| <SQL_QUERY>SELECT COUNT ( city_name ) FROM city WHERE population > 150000 AND state_name IN ( SELECT border FROM border_info WHERE state_name = "nebraska" );</SQL_QUERY> | geo | SELECT COUNT ( city_name ) FROM city WHERE population > 150000 AND state_name IN ( SELECT border FROM border_info WHERE state_name = "nebraska" ); | how many major cities are in states bordering nebraska | [Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number); | [Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name | [Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number);</schema>"
<primary_keys>[Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name</primary_keys>"
<foreign_keys>[Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name</foreign_keys>"
Answer the following question with a SQL Statement:<question>what is the total population of the states that border texas</question>
[SQL]:
| <SQL_QUERY>SELECT SUM ( t2.population ) FROM state AS t2 JOIN border_info AS t1 ON t2.state_name = t1.border WHERE t1.state_name = "texas";</SQL_QUERY> | geo | SELECT SUM ( t2.population ) FROM state AS t2 JOIN border_info AS t1 ON t2.state_name = t1.border WHERE t1.state_name = "texas"; | what is the total population of the states that border 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 major lakes in united states</question>
[SQL]:
| <SQL_QUERY>SELECT lake_name FROM lake WHERE area > 750;</SQL_QUERY> | geo | SELECT lake_name FROM lake WHERE area > 750; | what are the major lakes in united states | [Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number); | [Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name | [Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name |
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
<schema>[Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number);</schema>"
<primary_keys>[Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name</primary_keys>"
<foreign_keys>[Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name</foreign_keys>"
Answer the following question with a SQL Statement:<question>show me all the major lakes in the us</question>
[SQL]:
| <SQL_QUERY>SELECT lake_name FROM lake WHERE area > 750;</SQL_QUERY> | geo | SELECT lake_name FROM lake WHERE area > 750; | show me all the major lakes 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>name all the lakes of us</question>
[SQL]:
| <SQL_QUERY>SELECT lake_name FROM lake;</SQL_QUERY> | geo | SELECT lake_name FROM lake; | name all the lakes of 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 |
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