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philikai
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Spider-SQL-LLAMA2_train

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query
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577
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1.48k
geo
SELECT COUNT ( river_name ) FROM river WHERE LENGTH > 750 AND traverse = "ohio";
how many major rivers cross ohio
[Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number);
[Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name
[Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name
geo
SELECT DISTINCT traverse FROM river WHERE LENGTH = ( SELECT MIN ( DISTINCT LENGTH ) FROM river );
what state has 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
geo
SELECT COUNT ( DISTINCT traverse ) FROM river WHERE LENGTH > 750;
how many states are next to 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
geo
SELECT mountain_altitude FROM mountain WHERE mountain_name = "mckinley";
what is the height of mount mckinley
[Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number);
[Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name
[Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name
geo
SELECT traverse FROM river WHERE LENGTH = ( SELECT MIN ( LENGTH ) FROM river );
what states does the shortest 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
geo
SELECT t2.highest_point FROM state AS t1 JOIN highlow AS t2 ON t1.state_name = t2.state_name WHERE t1.state_name IN ( SELECT state_name FROM state WHERE population = ( SELECT MIN ( population ) FROM state ) );
what is the highest point in 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
geo
SELECT river_name FROM river WHERE traverse IN ( SELECT state_name FROM highlow WHERE lowest_elevation = ( SELECT MIN ( lowest_elevation ) FROM highlow ) );
which rivers run through the state with the lowest elevation 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
geo
SELECT river_name FROM river WHERE traverse IN ( SELECT state_name FROM highlow WHERE lowest_elevation = ( SELECT MIN ( lowest_elevation ) FROM highlow ) );
what rivers run through the state with the lowest point in the usa
[Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number);
[Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name
[Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name
geo
SELECT mountain_name FROM mountain WHERE state_name = "alaska";
what mountains are 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
geo
SELECT COUNT ( traverse ) FROM river WHERE LENGTH > 750;
how many states have 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
geo
SELECT state_name FROM state WHERE area = ( SELECT MIN ( area ) FROM state WHERE state_name IN ( SELECT traverse FROM river WHERE LENGTH = ( SELECT MAX ( LENGTH ) FROM river ) ) ) AND state_name IN ( SELECT traverse FROM river WHERE LENGTH = ( SELECT MAX ( LENGTH ) FROM river ) );
what is the smallest state through which the longest river 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
geo
SELECT state_name FROM state WHERE area = ( SELECT MAX ( area ) FROM state WHERE state_name IN ( SELECT traverse FROM river WHERE river_name = "rio grande" ) ) AND state_name IN ( SELECT traverse FROM river WHERE river_name = "rio grande" );
what is the largest state traversed by the rio grande 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
geo
SELECT state_name FROM state WHERE area = ( SELECT MAX ( area ) FROM state WHERE state_name IN ( SELECT traverse FROM river WHERE river_name = "rio grande" ) ) AND state_name IN ( SELECT traverse FROM river WHERE river_name = "rio grande" );
what is the largest of the state that the rio grande 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
geo
SELECT COUNT ( river_name ) FROM river WHERE traverse IN ( SELECT border FROM border_info WHERE state_name = "colorado" );
how many rivers run through the states bordering 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
geo
SELECT state_name FROM state WHERE state_name NOT IN ( SELECT traverse FROM river );
what state has no 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
geo
SELECT capital FROM state WHERE area = ( SELECT MAX ( area ) FROM state );
what is the capital of the largest state
[Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number);
[Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name
[Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name
geo
SELECT capital FROM state WHERE area = ( SELECT MAX ( area ) FROM state );
what is the capital city of the largest 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
geo
SELECT COUNT ( city_name ) FROM city WHERE state_name = "texas";
how many 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
geo
SELECT COUNT ( city_name ) FROM city WHERE state_name = "texas";
how many cities does texas have
[Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number);
[Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name
[Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name
geo
SELECT area FROM state;
what is the area of 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
geo
SELECT COUNT ( DISTINCT traverse ) FROM river WHERE LENGTH = ( SELECT MIN ( DISTINCT LENGTH ) FROM river );
how many states in the us does the shortest 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
geo
SELECT river_name FROM river WHERE traverse IN ( SELECT border FROM border_info WHERE state_name IN ( SELECT state_name FROM state WHERE population = ( SELECT MAX ( population ) FROM state ) ) );
what rivers flow through states that border 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
geo
SELECT city_name FROM city WHERE population > 150000 AND state_name = ( SELECT state_name FROM state WHERE area = ( SELECT MAX ( area ) FROM state ) );
what are the major cities in the largest state
[Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number);
[Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name
[Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name
geo
SELECT area FROM state WHERE area = ( SELECT MIN ( area ) FROM state );
what is the area of the smallest state
[Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number);
[Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name
[Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name
geo
SELECT border FROM border_info WHERE state_name IN ( SELECT traverse FROM river WHERE LENGTH = ( SELECT MAX ( LENGTH ) FROM river ) );
which states border the longest river in the usa
[Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number);
[Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name
[Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name
geo
SELECT density FROM state WHERE population = ( SELECT MIN ( population ) FROM state );
what is the population density of 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
geo
SELECT COUNT ( DISTINCT border ) FROM border_info WHERE state_name IN ( SELECT traverse FROM river WHERE river_name = "mississippi" );
how many states border the mississippi 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
geo
SELECT t1.state_name FROM state AS t1 JOIN highlow AS t2 ON t1.capital = t2.highest_point;
what states have a capital that is the highest point in the 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
geo
SELECT population FROM city WHERE city_name = ( SELECT capital FROM state WHERE area = ( SELECT MIN ( area ) FROM state ) );
what is the population of the capital of the smallest state
[Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number);
[Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name
[Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name
geo
SELECT population FROM city WHERE city_name = ( SELECT capital FROM state WHERE area = ( SELECT MAX ( area ) FROM state ) );
what is the population of the capital of the largest state
[Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number);
[Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name
[Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name
geo
SELECT t2.lowest_point FROM state AS t1 JOIN highlow AS t2 ON t1.state_name = t2.state_name WHERE t1.state_name IN ( SELECT state_name FROM state WHERE area = ( SELECT MAX ( area ) FROM state ) );
what is the lowest point of the state with the largest area
[Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number);
[Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name
[Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name
geo
SELECT t1.border FROM border_info AS t2 JOIN border_info AS t1 ON t2.border = t1.state_name WHERE t2.state_name IN ( SELECT state_name FROM state WHERE population = ( SELECT MAX ( population ) FROM state ) );
what states border states that border 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
geo
SELECT MAX ( area ) FROM state;
what is the size of the largest 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
geo
SELECT MAX ( area ) FROM state;
what is the area of the largest state
[Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number);
[Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name
[Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name
geo
SELECT t2.capital FROM state AS t2 JOIN city AS t1 ON t2.capital = t1.city_name WHERE t1.population <= 150000;
which capitals are not major cities
[Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number);
[Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name
[Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name
geo
SELECT city_name FROM city;
give me the cities in usa
[Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number);
[Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name
[Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name
geo
SELECT t2.highest_point FROM state AS t1 JOIN highlow AS t2 ON t1.state_name = t2.state_name WHERE t1.state_name IN ( SELECT state_name FROM state WHERE area = ( SELECT MAX ( area ) FROM state ) );
what is the highest point of the state with the largest area
[Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number);
[Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name
[Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name
geo
SELECT country_name FROM state WHERE state_name = "massachusetts";
where is massachusetts
[Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number);
[Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name
[Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name
geo
SELECT state_name FROM city GROUP BY state_name ORDER BY SUM ( population ) DESC LIMIT 1;
what state has the largest 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
geo
SELECT river_name FROM river;
what are the major rivers 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
geo
SELECT COUNT ( city_name ) FROM city WHERE city_name = "austin";
how many cities named austin are there 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
geo
SELECT population FROM state WHERE population = ( SELECT MAX ( population ) FROM state WHERE state_name IN ( SELECT border FROM border_info WHERE state_name = "wyoming" ) ) AND state_name IN ( SELECT border FROM border_info WHERE state_name = "wyoming" );
how many people live in the smallest state bordering wyoming
[Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number);
[Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name
[Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name
geo
SELECT LENGTH FROM river WHERE river_name = "colorado" AND traverse = "texas";
what is the length of the colorado 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
geo
SELECT density FROM state WHERE capital = "austin";
what is the population density in the state with capital 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
geo
SELECT LENGTH FROM river WHERE LENGTH = ( SELECT MIN ( LENGTH ) FROM river );
how long 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
geo
SELECT lowest_elevation FROM highlow WHERE lowest_point = "death valley";
what is the elevation of death valley
[Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number);
[Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name
[Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name
geo
SELECT AVG ( population ) FROM state;
what is the average population of the us by 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
geo
SELECT river_name FROM river WHERE traverse IN ( SELECT state_name FROM state WHERE area = ( SELECT MAX ( area ) FROM state ) );
what rivers flow through the largest state
[Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number);
[Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name
[Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name
geo
SELECT t1.border FROM border_info AS t2 JOIN border_info AS t1 ON t2.border = t1.state_name JOIN border_info AS t3 ON t3.border = t2.state_name JOIN border_info AS t4 ON t4.border = t3.state_name WHERE t4.state_name = "texas";
what states border states that border states that border 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
geo
SELECT COUNT ( border ) FROM border_info WHERE state_name = ( SELECT state_name FROM state WHERE capital = "boston" );
how many states border on the state whose capital is boston
[Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number);
[Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name
[Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name
geo
SELECT city_name FROM city WHERE population > 150000 AND state_name IN ( SELECT traverse FROM river WHERE river_name IN ( SELECT river_name FROM river WHERE LENGTH > 750 AND traverse = "virginia" ) );
what are the major cities in the states through which the major river in virginia 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
geo
SELECT state_name FROM state WHERE state_name NOT IN ( SELECT border FROM border_info WHERE state_name = "texas" );
which states does not 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
geo
SELECT COUNT ( border ) FROM border_info WHERE state_name = ( SELECT state_name FROM state WHERE area = ( SELECT MAX ( area ) FROM state ) );
how many states border the largest state
[Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number);
[Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name
[Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name
geo
SELECT state_name FROM city WHERE population = ( SELECT MAX ( population ) FROM city WHERE state_name = "montana" ) AND state_name = "montana";
which state is the largest city in montana 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
geo
SELECT t1.capital FROM highlow AS t2 JOIN state AS t1 ON t1.state_name = t2.state_name WHERE t2.lowest_elevation = ( SELECT MIN ( lowest_elevation ) FROM highlow ) ;
what is capital 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
geo
SELECT DISTINCT t1.city_name FROM city AS t1 JOIN river AS t2 ON t2.traverse = t1.state_name WHERE t1.population = ( SELECT MAX ( t1.population ) FROM river AS t2 JOIN city AS t1 ON t2.traverse = t1.state_name );
what is the biggest american city in a state with 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
geo
SELECT COUNT ( t2.river_name ) FROM river AS t2 JOIN state AS t1 ON t1.state_name = t2.traverse WHERE t1.state_name = ( SELECT state_name FROM state WHERE population = ( SELECT MAX ( population ) FROM state ) );
how many rivers are in 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
geo
SELECT t1.state_name FROM highlow AS t3 JOIN border_info AS t1 ON t3.state_name = t1.border JOIN state AS t2 ON t2.state_name = t1.border WHERE t3.lowest_elevation = ( SELECT MIN ( lowest_elevation ) FROM highlow ) ORDER BY t2.area DESC LIMIT 1;
what is the largest state that borders the state with the lowest point in the usa
[Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number);
[Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name
[Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name
geo
SELECT t1.capital FROM highlow AS t2 JOIN state AS t1 ON t1.state_name = t2.state_name WHERE t2.highest_elevation = ( SELECT MAX ( highest_elevation ) FROM highlow );
what is the capital of the state with 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
geo
SELECT t1.capital FROM highlow AS t2 JOIN state AS t1 ON t1.state_name = t2.state_name WHERE t2.highest_elevation = ( SELECT MAX ( highest_elevation ) FROM highlow );
what is the capital of the state with 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
geo
SELECT t2.highest_point FROM highlow AS t2 JOIN state AS t1 ON t1.state_name = t2.state_name WHERE t1.area = ( SELECT MIN ( area ) FROM state );
what is the highest point in the smallest state
[Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number);
[Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name
[Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name
geo
SELECT COUNT ( t1.river_name ) FROM highlow AS t2 JOIN river AS t1 ON t1.traverse = t2.state_name WHERE t2.highest_elevation = ( SELECT MAX ( highest_elevation ) FROM highlow );
how many rivers are in the state with 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
geo
SELECT t2.highest_elevation FROM highlow AS t2 JOIN state AS t1 ON t1.state_name = t2.state_name WHERE t1.area = ( SELECT MAX ( area ) FROM state );
how high is the highest point in the largest state
[Schema (values) (types)]: | geo | state : state_name (text) , population (text) , area (number) , country_name (number) , capital (text) , density (text) | city : city_name (text) , population (text) , country_name (number) , state_name (number) | border_info : state_name (text) , border (text) | highlow : state_name (text) , highest_elevation (text) , lowest_point (number) , highest_point (number) , lowest_elevation (text) | lake : lake_name (text) , area (text) , country_name (number) , state_name (number) | mountain : mountain_name (text) , mountain_altitude (text) , country_name (number) , state_name (number) | river : river_name (text) , length (text) , country_name (number) , traverse (number);
[Primary Keys]: state : state_name, city : city_name, border_info : border, highlow : state_name, lake : mountain_name, mountain : river_name
[Foreign Keys]: city : state_name = state : state_name | border_info : border = state : state_name | border_info : state_name = state : state_name | highlow : state_name = state : state_name | mountain : state_name = state : state_name | river : traverse = state : state_name
geo
SELECT t1.river_name FROM highlow AS t2 JOIN river AS t1 ON t1.traverse = t2.state_name WHERE t2.highest_elevation = ( SELECT MAX ( highest_elevation ) FROM highlow ) ORDER BY t1.length DESC LIMIT 1;
what is the longest river in the state with 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
scholar
SELECT DISTINCT t3.paperid FROM writes AS t3 JOIN author AS t2 ON t3.authorid = t2.authorid JOIN writes AS t4 ON t4.paperid = t3.paperid JOIN author AS t1 ON t4.authorid = t1.authorid WHERE t2.authorname = "Peter Mertens" AND t1.authorname = "Dina Barbian";
papers that are coauthored by Peter Mertens and Dina Barbian
[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);
[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid
[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid
scholar
SELECT DISTINCT t3.paperid FROM writes AS t3 JOIN author AS t2 ON t3.authorid = t2.authorid JOIN writes AS t4 ON t4.paperid = t3.paperid JOIN author AS t1 ON t4.authorid = t1.authorid WHERE t2.authorname = "Peter Mertens" AND t1.authorname = "Dina Barbian";
papers written by Peter Mertens and Dina Barbian
[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);
[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid
[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid
scholar
SELECT DISTINCT t3.paperid FROM writes AS t3 JOIN author AS t2 ON t3.authorid = t2.authorid JOIN writes AS t4 ON t4.paperid = t3.paperid JOIN author AS t1 ON t4.authorid = t1.authorid WHERE t2.authorname = "Peter Mertens" AND t1.authorname = "Dina Barbian";
what are the papers that have Peter Mertens and Dina Barbian as co-authors
[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);
[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid
[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid
scholar
SELECT DISTINCT t3.paperid FROM writes AS t3 JOIN author AS t2 ON t3.authorid = t2.authorid JOIN writes AS t4 ON t4.paperid = t3.paperid JOIN author AS t1 ON t4.authorid = t1.authorid WHERE t2.authorname = "Peter Mertens" AND t1.authorname = "Dina Barbian";
What papers have Peter Mertens and Dina Barbian written ?
[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);
[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid
[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid
scholar
SELECT DISTINCT t3.paperid FROM writes AS t3 JOIN author AS t2 ON t3.authorid = t2.authorid JOIN writes AS t4 ON t4.paperid = t3.paperid JOIN author AS t1 ON t4.authorid = t1.authorid WHERE t2.authorname = "Peter Mertens" AND t1.authorname = "Dina Barbian";
what paper did Peter Mertens and Dina Barbian write together ?
[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);
[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid
[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid
scholar
SELECT DISTINCT t3.paperid FROM writes AS t3 JOIN author AS t2 ON t3.authorid = t2.authorid JOIN writes AS t4 ON t4.paperid = t3.paperid JOIN author AS t1 ON t4.authorid = t1.authorid WHERE t2.authorname = "Peter Mertens" AND t1.authorname = "Dina Barbian";
Has Peter Mertens and Dina Barbian written a paper together ?
[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);
[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid
[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid
scholar
SELECT DISTINCT t3.paperid FROM writes AS t3 JOIN author AS t2 ON t3.authorid = t2.authorid JOIN writes AS t4 ON t4.paperid = t3.paperid JOIN author AS t1 ON t4.authorid = t1.authorid WHERE t2.authorname = "Peter Mertens" AND t1.authorname = "Dina Barbian";
Papers by Peter Mertens and Dina Barbian
[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);
[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid
[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid
scholar
SELECT DISTINCT t3.paperid FROM writes AS t3 JOIN author AS t2 ON t3.authorid = t2.authorid JOIN writes AS t4 ON t4.paperid = t3.paperid JOIN author AS t1 ON t4.authorid = t1.authorid WHERE t2.authorname = "Peter Mertens" AND t1.authorname = "Dina Barbian";
papers by authors Peter Mertens and Dina Barbian
[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);
[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid
[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid
scholar
SELECT DISTINCT t3.paperid FROM writes AS t3 JOIN author AS t2 ON t3.authorid = t2.authorid JOIN writes AS t4 ON t4.paperid = t3.paperid JOIN author AS t1 ON t4.authorid = t1.authorid WHERE t2.authorname = "Peter Mertens" AND t1.authorname = "Dina Barbian";
What papers were written by authors Peter Mertens and Dina Barbian
[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);
[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid
[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid
scholar
SELECT DISTINCT t3.paperid FROM writes AS t3 JOIN author AS t2 ON t3.authorid = t2.authorid JOIN writes AS t4 ON t4.paperid = t3.paperid JOIN author AS t1 ON t4.authorid = t1.authorid WHERE t2.authorname = "Peter Mertens" AND t1.authorname = "Dina Barbian";
papers by Peter Mertens and Dina Barbian
[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);
[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid
[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid
scholar
SELECT DISTINCT t3.paperid FROM writes AS t3 JOIN author AS t2 ON t3.authorid = t2.authorid JOIN writes AS t4 ON t4.paperid = t3.paperid JOIN author AS t1 ON t4.authorid = t1.authorid WHERE t2.authorname = "Peter Mertens" AND t1.authorname = "Dina Barbian";
papers written by authors Peter Mertens and Dina Barbian
[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);
[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid
[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid
scholar
SELECT DISTINCT t3.paperid FROM writes AS t3 JOIN author AS t2 ON t3.authorid = t2.authorid JOIN writes AS t4 ON t4.paperid = t3.paperid JOIN author AS t1 ON t4.authorid = t1.authorid WHERE t2.authorname = "Peter Mertens" AND t1.authorname = "Dina Barbian";
When did Peter Mertens and Dina Barbian collaborate ?
[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);
[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid
[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid
scholar
SELECT DISTINCT t3.paperid FROM writes AS t3 JOIN author AS t2 ON t3.authorid = t2.authorid JOIN writes AS t4 ON t4.paperid = t3.paperid JOIN author AS t1 ON t4.authorid = t1.authorid WHERE t2.authorname = "Peter Mertens" AND t1.authorname = "Dina Barbian";
what are the collaborations of Peter Mertens and Dina Barbian ?
[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);
[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid
[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid
scholar
SELECT DISTINCT t3.paperid FROM writes AS t3 JOIN author AS t2 ON t3.authorid = t2.authorid JOIN writes AS t4 ON t4.paperid = t3.paperid JOIN author AS t1 ON t4.authorid = t1.authorid WHERE t2.authorname = "Peter Mertens" AND t1.authorname = "Dina Barbian";
Have Peter Mertens and Dina Barbian written a paper together ?
[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);
[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid
[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid
scholar
SELECT DISTINCT t3.paperid FROM writes AS t3 JOIN author AS t2 ON t3.authorid = t2.authorid JOIN writes AS t4 ON t4.paperid = t3.paperid JOIN author AS t1 ON t4.authorid = t1.authorid WHERE t2.authorname = "Peter Mertens" AND t1.authorname = "Dina Barbian";
Peter Mertens and Dina Barbian as co-authors
[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);
[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid
[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid
scholar
SELECT DISTINCT t3.paperid FROM writes AS t3 JOIN author AS t2 ON t3.authorid = t2.authorid JOIN writes AS t4 ON t4.paperid = t3.paperid JOIN author AS t1 ON t4.authorid = t1.authorid WHERE t2.authorname = "Peter Mertens" AND t1.authorname = "Dina Barbian";
Does Peter Mertens ever collaborated with Dina Barbian ?
[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);
[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid
[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid
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SELECT DISTINCT t3.paperid FROM writes AS t3 JOIN author AS t2 ON t3.authorid = t2.authorid JOIN writes AS t4 ON t4.paperid = t3.paperid JOIN author AS t1 ON t4.authorid = t1.authorid WHERE t2.authorname = "Peter Mertens" AND t1.authorname = "Dina Barbian";
Which papers have Peter Mertens and Dina Barbian as co-authors ?
[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);
[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid
[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid
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SELECT DISTINCT t3.paperid FROM writes AS t3 JOIN author AS t2 ON t3.authorid = t2.authorid JOIN writes AS t4 ON t4.paperid = t3.paperid JOIN author AS t1 ON t4.authorid = t1.authorid WHERE t2.authorname = "Peter Mertens" AND t1.authorname = "Dina Barbian";
papers coauthored by Peter Mertens and Dina Barbian
[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);
[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid
[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid
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SELECT DISTINCT t3.paperid FROM writes AS t3 JOIN author AS t2 ON t3.authorid = t2.authorid JOIN writes AS t4 ON t4.paperid = t3.paperid JOIN author AS t1 ON t4.authorid = t1.authorid WHERE t2.authorname = "Peter Mertens" AND t1.authorname = "Dina Barbian";
What papers have been written by Peter Mertens and Dina Barbian ?
[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);
[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid
[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid
scholar
SELECT DISTINCT t3.paperid FROM writes AS t3 JOIN author AS t2 ON t3.authorid = t2.authorid JOIN writes AS t4 ON t4.paperid = t3.paperid JOIN author AS t1 ON t4.authorid = t1.authorid WHERE t2.authorname = "Peter Mertens" AND t1.authorname = "Dina Barbian";
What papers have been written by both Peter Mertens and Dina Barbian ?
[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);
[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid
[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid
scholar
SELECT DISTINCT t3.paperid FROM writes AS t3 JOIN author AS t2 ON t3.authorid = t2.authorid JOIN writes AS t4 ON t4.paperid = t3.paperid JOIN author AS t1 ON t4.authorid = t1.authorid WHERE t2.authorname = "Peter Mertens" AND t1.authorname = "Dina Barbian";
What papers have been written by Peter Mertens and Dina Barbian .
[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);
[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid
[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid
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SELECT DISTINCT COUNT ( t4.paperid ) , t3.authorid FROM paperkeyphrase AS t1 JOIN keyphrase AS t2 ON t1.keyphraseid = t2.keyphraseid JOIN paper AS t4 ON t4.paperid = t1.paperid JOIN writes AS t3 ON t3.paperid = t4.paperid WHERE t2.keyphrasename = "syntactic parsing" GROUP BY t3.authorid ORDER BY COUNT ( t4.paperid ) DESC;
who has written the most syntactic parsing papers ?
[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);
[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid
[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid
scholar
SELECT DISTINCT COUNT ( t4.paperid ) , t3.authorid FROM paperkeyphrase AS t1 JOIN keyphrase AS t2 ON t1.keyphraseid = t2.keyphraseid JOIN paper AS t4 ON t4.paperid = t1.paperid JOIN writes AS t3 ON t3.paperid = t4.paperid WHERE t2.keyphrasename = "syntactic parsing" GROUP BY t3.authorid ORDER BY COUNT ( t4.paperid ) DESC;
who is the most published author in syntactic parsing ?
[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);
[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid
[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid
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SELECT DISTINCT COUNT ( t4.paperid ) , t3.authorid FROM paperkeyphrase AS t1 JOIN keyphrase AS t2 ON t1.keyphraseid = t2.keyphraseid JOIN paper AS t4 ON t4.paperid = t1.paperid JOIN writes AS t3 ON t3.paperid = t4.paperid WHERE t2.keyphrasename = "syntactic parsing" GROUP BY t3.authorid ORDER BY COUNT ( t4.paperid ) DESC;
who has the most publications in syntactic parsing ?
[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);
[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid
[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid
scholar
SELECT DISTINCT COUNT ( t4.paperid ) , t3.authorid FROM paperkeyphrase AS t1 JOIN keyphrase AS t2 ON t1.keyphraseid = t2.keyphraseid JOIN paper AS t4 ON t4.paperid = t1.paperid JOIN writes AS t3 ON t3.paperid = t4.paperid WHERE t2.keyphrasename = "syntactic parsing" GROUP BY t3.authorid ORDER BY COUNT ( t4.paperid ) DESC;
who has written the most papers on syntactic parsing ?
[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);
[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid
[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid
scholar
SELECT DISTINCT COUNT ( t4.paperid ) , t3.authorid FROM paperkeyphrase AS t1 JOIN keyphrase AS t2 ON t1.keyphraseid = t2.keyphraseid JOIN paper AS t4 ON t4.paperid = t1.paperid JOIN writes AS t3 ON t3.paperid = t4.paperid WHERE t2.keyphrasename = "syntactic parsing" GROUP BY t3.authorid ORDER BY COUNT ( t4.paperid ) DESC;
List prominent scholars in syntactic parsing ?
[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);
[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid
[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid
scholar
SELECT DISTINCT COUNT ( t4.paperid ) , t3.authorid FROM paperkeyphrase AS t1 JOIN keyphrase AS t2 ON t1.keyphraseid = t2.keyphraseid JOIN paper AS t4 ON t4.paperid = t1.paperid JOIN writes AS t3 ON t3.paperid = t4.paperid WHERE t2.keyphrasename = "syntactic parsing" GROUP BY t3.authorid ORDER BY COUNT ( t4.paperid ) DESC;
who wrote the most papers on syntactic parsing ?
[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);
[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid
[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid
scholar
SELECT DISTINCT COUNT ( t4.paperid ) , t3.authorid FROM paperkeyphrase AS t1 JOIN keyphrase AS t2 ON t1.keyphraseid = t2.keyphraseid JOIN paper AS t4 ON t4.paperid = t1.paperid JOIN writes AS t3 ON t3.paperid = t4.paperid WHERE t2.keyphrasename = "syntactic parsing" GROUP BY t3.authorid ORDER BY COUNT ( t4.paperid ) DESC;
Who are the authors with the most published papers in syntactic parsing ?
[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);
[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid
[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid
scholar
SELECT DISTINCT COUNT ( t4.paperid ) , t3.authorid FROM paperkeyphrase AS t1 JOIN keyphrase AS t2 ON t1.keyphraseid = t2.keyphraseid JOIN paper AS t4 ON t4.paperid = t1.paperid JOIN writes AS t3 ON t3.paperid = t4.paperid WHERE t2.keyphrasename = "syntactic parsing" GROUP BY t3.authorid ORDER BY COUNT ( t4.paperid ) DESC;
top syntactic parsing author
[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);
[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid
[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid
scholar
SELECT DISTINCT COUNT ( t4.paperid ) , t3.authorid FROM paperkeyphrase AS t1 JOIN keyphrase AS t2 ON t1.keyphraseid = t2.keyphraseid JOIN paper AS t4 ON t4.paperid = t1.paperid JOIN writes AS t3 ON t3.paperid = t4.paperid WHERE t2.keyphrasename = "syntactic parsing" GROUP BY t3.authorid ORDER BY COUNT ( t4.paperid ) DESC;
top author in syntactic parsing
[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);
[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid
[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid
scholar
SELECT DISTINCT COUNT ( t4.paperid ) , t3.authorid FROM paperkeyphrase AS t1 JOIN keyphrase AS t2 ON t1.keyphraseid = t2.keyphraseid JOIN paper AS t4 ON t4.paperid = t1.paperid JOIN writes AS t3 ON t3.paperid = t4.paperid WHERE t2.keyphrasename = "syntactic parsing" GROUP BY t3.authorid ORDER BY COUNT ( t4.paperid ) DESC;
who published the most in syntactic parsing ?
[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);
[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid
[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid
scholar
SELECT DISTINCT COUNT ( t4.paperid ) , t3.authorid FROM paperkeyphrase AS t1 JOIN keyphrase AS t2 ON t1.keyphraseid = t2.keyphraseid JOIN paper AS t4 ON t4.paperid = t1.paperid JOIN writes AS t3 ON t3.paperid = t4.paperid WHERE t2.keyphrasename = "syntactic parsing" GROUP BY t3.authorid ORDER BY COUNT ( t4.paperid ) DESC;
who published the most papers in syntactic parsing ?
[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);
[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid
[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid
scholar
SELECT DISTINCT COUNT ( t4.citedpaperid ) FROM paper AS t3 JOIN cite AS t4 ON t3.paperid = t4.citedpaperid JOIN writes AS t2 ON t2.paperid = t3.paperid JOIN author AS t1 ON t2.authorid = t1.authorid WHERE t1.authorname = "noah a smith";
How many citation noah a smith has ?
[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);
[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid
[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid
scholar
SELECT DISTINCT COUNT ( t4.citedpaperid ) FROM paper AS t3 JOIN cite AS t4 ON t3.paperid = t4.citedpaperid JOIN writes AS t2 ON t2.paperid = t3.paperid JOIN author AS t1 ON t2.authorid = t1.authorid WHERE t1.authorname = "noah a smith";
noah a smith citation count
[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);
[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid
[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid
scholar
SELECT DISTINCT COUNT ( t4.citedpaperid ) FROM paper AS t3 JOIN cite AS t4 ON t3.paperid = t4.citedpaperid JOIN writes AS t2 ON t2.paperid = t3.paperid JOIN author AS t1 ON t2.authorid = t1.authorid WHERE t1.authorname = "noah a smith";
how many citations does noah a smith have ?
[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);
[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid
[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid
scholar
SELECT DISTINCT COUNT ( t4.citedpaperid ) FROM paper AS t3 JOIN cite AS t4 ON t3.paperid = t4.citedpaperid JOIN writes AS t2 ON t2.paperid = t3.paperid JOIN author AS t1 ON t2.authorid = t1.authorid WHERE t1.authorname = "noah a smith";
How many citations does noah a smith have ?
[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);
[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid
[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid