1sf/bird-sql-train-with-schema huggingface dataset:
Database: mondial_geo
Tables: borders, city, continent, country, desert, economy, encompasses, ethnicGroup, geo_desert, geo_estuary, geo_island, geo_lake, geo_mountain, geo_river, geo_sea, geo_source, island, islandIn, isMember, lake, language, located, locatedOn, mergesWith, mountain, mountainOnIsland, organization, politics, population, province, religion, river, sea, target
Columns (table index, column name): -1, *, 0, Country1, 0, Country2, 0, Length, 1, Name, 1, Country, 1, Province, 1, Population, 1, Longitude, 1, Latitude, 2, Name, 2, Area, 3, Name, 3, Code, 3, Capital, 3, Province, 3, Area, 3, Population, 4, Name, 4, Area, 4, Longitude, 4, Latitude, 5, Country, 5, GDP, 5, Agriculture, 5, Service, 5, Industry, 5, Inflation, 6, Country, 6, Continent, 6, Percentage, 7, Country, 7, Name, 7, Percentage, 8, Desert, 8, Country, 8, Province, 9, River, 9, Country, 9, Province, 10, Island, 10, Country, 10, Province, 11, Lake, 11, Country, 11, Province, 12, Mountain, 12, Country, 12, Province, 13, River, 13, Country, 13, Province, 14, Sea, 14, Country, 14, Province, 15, River, 15, Country, 15, Province, 16, Name, 16, Islands, 16, Area, 16, Height, 16, Type, 16, Longitude, 16, Latitude, 17, Island, 17, Sea, 17, Lake, 17, River, 18, Country, 18, Organization, 18, Type, 19, Name, 19, Area, 19, Depth, 19, Altitude, 19, Type, 19, River, 19, Longitude, 19, Latitude, 20, Country, 20, Name, 20, Percentage, 21, City, 21, Province, 21, Country, 21, River, 21, Lake, 21, Sea, 22, City, 22, Province, 22, Country, 22, Island, 23, Sea1, 23, Sea2, 24, Name, 24, Mountains, 24, Height, 24, Type, 24, Longitude, 24, Latitude, 25, Mountain, 25, Island, 26, Abbreviation, 26, Name, 26, City, 26, Country, 26, Province, 26, Established, 27, Country, 27, Independence, 27, Dependent, 27, Government, 28, Country, 28, Population_Growth, 28, Infant_Mortality, 29, Name, 29, Country, 29, Population, 29, Area, 29, Capital, 29, CapProv, 30, Country, 30, Name, 30, Percentage, 31, Name, 31, River, 31, Lake, 31, Sea, 31, Length, 31, SourceLongitude, 31, SourceLatitude, 31, Mountains, 31, SourceAltitude, 31, EstuaryLongitude, 31, EstuaryLatitude, 32, Name, 32, Depth, 33, Country, 33, Target
Question: List all the mountains that are volcanic along with its longitude and latitude.
SQL: SELECT Name, Latitude, Longitude FROM mountain WHERE Type = 'volcano'
Database: mondial_geo
Tables: borders, city, continent, country, desert, economy, encompasses, ethnicGroup, geo_desert, geo_estuary, geo_island, geo_lake, geo_mountain, geo_river, geo_sea, geo_source, island, islandIn, isMember, lake, language, located, locatedOn, mergesWith, mountain, mountainOnIsland, organization, politics, population, province, religion, river, sea, target
Columns (table index, column name): -1, *, 0, Country1, 0, Country2, 0, Length, 1, Name, 1, Country, 1, Province, 1, Population, 1, Longitude, 1, Latitude, 2, Name, 2, Area, 3, Name, 3, Code, 3, Capital, 3, Province, 3, Area, 3, Population, 4, Name, 4, Area, 4, Longitude, 4, Latitude, 5, Country, 5, GDP, 5, Agriculture, 5, Service, 5, Industry, 5, Inflation, 6, Country, 6, Continent, 6, Percentage, 7, Country, 7, Name, 7, Percentage, 8, Desert, 8, Country, 8, Province, 9, River, 9, Country, 9, Province, 10, Island, 10, Country, 10, Province, 11, Lake, 11, Country, 11, Province, 12, Mountain, 12, Country, 12, Province, 13, River, 13, Country, 13, Province, 14, Sea, 14, Country, 14, Province, 15, River, 15, Country, 15, Province, 16, Name, 16, Islands, 16, Area, 16, Height, 16, Type, 16, Longitude, 16, Latitude, 17, Island, 17, Sea, 17, Lake, 17, River, 18, Country, 18, Organization, 18, Type, 19, Name, 19, Area, 19, Depth, 19, Altitude, 19, Type, 19, River, 19, Longitude, 19, Latitude, 20, Country, 20, Name, 20, Percentage, 21, City, 21, Province, 21, Country, 21, River, 21, Lake, 21, Sea, 22, City, 22, Province, 22, Country, 22, Island, 23, Sea1, 23, Sea2, 24, Name, 24, Mountains, 24, Height, 24, Type, 24, Longitude, 24, Latitude, 25, Mountain, 25, Island, 26, Abbreviation, 26, Name, 26, City, 26, Country, 26, Province, 26, Established, 27, Country, 27, Independence, 27, Dependent, 27, Government, 28, Country, 28, Population_Growth, 28, Infant_Mortality, 29, Name, 29, Country, 29, Population, 29, Area, 29, Capital, 29, CapProv, 30, Country, 30, Name, 30, Percentage, 31, Name, 31, River, 31, Lake, 31, Sea, 31, Length, 31, SourceLongitude, 31, SourceLatitude, 31, Mountains, 31, SourceAltitude, 31, EstuaryLongitude, 31, EstuaryLatitude, 32, Name, 32, Depth, 33, Country, 33, Target
Question: Name all the volcano mountains between the height of 2000 to 4000.
SQL: SELECT Name FROM mountain WHERE Type = 'volcano' AND Height BETWEEN 2000 AND 4000
Database: mondial_geo
Tables: borders, city, continent, country, desert, economy, encompasses, ethnicGroup, geo_desert, geo_estuary, geo_island, geo_lake, geo_mountain, geo_river, geo_sea, geo_source, island, islandIn, isMember, lake, language, located, locatedOn, mergesWith, mountain, mountainOnIsland, organization, politics, population, province, religion, river, sea, target
Columns (table index, column name): -1, *, 0, Country1, 0, Country2, 0, Length, 1, Name, 1, Country, 1, Province, 1, Population, 1, Longitude, 1, Latitude, 2, Name, 2, Area, 3, Name, 3, Code, 3, Capital, 3, Province, 3, Area, 3, Population, 4, Name, 4, Area, 4, Longitude, 4, Latitude, 5, Country, 5, GDP, 5, Agriculture, 5, Service, 5, Industry, 5, Inflation, 6, Country, 6, Continent, 6, Percentage, 7, Country, 7, Name, 7, Percentage, 8, Desert, 8, Country, 8, Province, 9, River, 9, Country, 9, Province, 10, Island, 10, Country, 10, Province, 11, Lake, 11, Country, 11, Province, 12, Mountain, 12, Country, 12, Province, 13, River, 13, Country, 13, Province, 14, Sea, 14, Country, 14, Province, 15, River, 15, Country, 15, Province, 16, Name, 16, Islands, 16, Area, 16, Height, 16, Type, 16, Longitude, 16, Latitude, 17, Island, 17, Sea, 17, Lake, 17, River, 18, Country, 18, Organization, 18, Type, 19, Name, 19, Area, 19, Depth, 19, Altitude, 19, Type, 19, River, 19, Longitude, 19, Latitude, 20, Country, 20, Name, 20, Percentage, 21, City, 21, Province, 21, Country, 21, River, 21, Lake, 21, Sea, 22, City, 22, Province, 22, Country, 22, Island, 23, Sea1, 23, Sea2, 24, Name, 24, Mountains, 24, Height, 24, Type, 24, Longitude, 24, Latitude, 25, Mountain, 25, Island, 26, Abbreviation, 26, Name, 26, City, 26, Country, 26, Province, 26, Established, 27, Country, 27, Independence, 27, Dependent, 27, Government, 28, Country, 28, Population_Growth, 28, Infant_Mortality, 29, Name, 29, Country, 29, Population, 29, Area, 29, Capital, 29, CapProv, 30, Country, 30, Name, 30, Percentage, 31, Name, 31, River, 31, Lake, 31, Sea, 31, Length, 31, SourceLongitude, 31, SourceLatitude, 31, Mountains, 31, SourceAltitude, 31, EstuaryLongitude, 31, EstuaryLatitude, 32, Name, 32, Depth, 33, Country, 33, Target
Question: Please state the longest river that flows to the Mediterranean Sea.
SQL: SELECT Name FROM river WHERE Sea = 'Mediterranean Sea' ORDER BY Length DESC LIMIT 1
Database: mondial_geo
Tables: borders, city, continent, country, desert, economy, encompasses, ethnicGroup, geo_desert, geo_estuary, geo_island, geo_lake, geo_mountain, geo_river, geo_sea, geo_source, island, islandIn, isMember, lake, language, located, locatedOn, mergesWith, mountain, mountainOnIsland, organization, politics, population, province, religion, river, sea, target
Columns (table index, column name): -1, *, 0, Country1, 0, Country2, 0, Length, 1, Name, 1, Country, 1, Province, 1, Population, 1, Longitude, 1, Latitude, 2, Name, 2, Area, 3, Name, 3, Code, 3, Capital, 3, Province, 3, Area, 3, Population, 4, Name, 4, Area, 4, Longitude, 4, Latitude, 5, Country, 5, GDP, 5, Agriculture, 5, Service, 5, Industry, 5, Inflation, 6, Country, 6, Continent, 6, Percentage, 7, Country, 7, Name, 7, Percentage, 8, Desert, 8, Country, 8, Province, 9, River, 9, Country, 9, Province, 10, Island, 10, Country, 10, Province, 11, Lake, 11, Country, 11, Province, 12, Mountain, 12, Country, 12, Province, 13, River, 13, Country, 13, Province, 14, Sea, 14, Country, 14, Province, 15, River, 15, Country, 15, Province, 16, Name, 16, Islands, 16, Area, 16, Height, 16, Type, 16, Longitude, 16, Latitude, 17, Island, 17, Sea, 17, Lake, 17, River, 18, Country, 18, Organization, 18, Type, 19, Name, 19, Area, 19, Depth, 19, Altitude, 19, Type, 19, River, 19, Longitude, 19, Latitude, 20, Country, 20, Name, 20, Percentage, 21, City, 21, Province, 21, Country, 21, River, 21, Lake, 21, Sea, 22, City, 22, Province, 22, Country, 22, Island, 23, Sea1, 23, Sea2, 24, Name, 24, Mountains, 24, Height, 24, Type, 24, Longitude, 24, Latitude, 25, Mountain, 25, Island, 26, Abbreviation, 26, Name, 26, City, 26, Country, 26, Province, 26, Established, 27, Country, 27, Independence, 27, Dependent, 27, Government, 28, Country, 28, Population_Growth, 28, Infant_Mortality, 29, Name, 29, Country, 29, Population, 29, Area, 29, Capital, 29, CapProv, 30, Country, 30, Name, 30, Percentage, 31, Name, 31, River, 31, Lake, 31, Sea, 31, Length, 31, SourceLongitude, 31, SourceLatitude, 31, Mountains, 31, SourceAltitude, 31, EstuaryLongitude, 31, EstuaryLatitude, 32, Name, 32, Depth, 33, Country, 33, Target
Question: How many percent of the mountains on Andes which are non-volcanic?
Evidence: Percent of non-volcanic mountains = count(mountains = 'Andes' & type ! = 'volcano') / count(mountains = 'Andes') * 100%
SQL: SELECT CAST(SUM(CASE WHEN type != 'volcano' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(*) FROM mountain WHERE Mountains = 'Andes'
Database: mondial_geo
Tables: borders, city, continent, country, desert, economy, encompasses, ethnicGroup, geo_desert, geo_estuary, geo_island, geo_lake, geo_mountain, geo_river, geo_sea, geo_source, island, islandIn, isMember, lake, language, located, locatedOn, mergesWith, mountain, mountainOnIsland, organization, politics, population, province, religion, river, sea, target
Columns (table index, column name): -1, *, 0, Country1, 0, Country2, 0, Length, 1, Name, 1, Country, 1, Province, 1, Population, 1, Longitude, 1, Latitude, 2, Name, 2, Area, 3, Name, 3, Code, 3, Capital, 3, Province, 3, Area, 3, Population, 4, Name, 4, Area, 4, Longitude, 4, Latitude, 5, Country, 5, GDP, 5, Agriculture, 5, Service, 5, Industry, 5, Inflation, 6, Country, 6, Continent, 6, Percentage, 7, Country, 7, Name, 7, Percentage, 8, Desert, 8, Country, 8, Province, 9, River, 9, Country, 9, Province, 10, Island, 10, Country, 10, Province, 11, Lake, 11, Country, 11, Province, 12, Mountain, 12, Country, 12, Province, 13, River, 13, Country, 13, Province, 14, Sea, 14, Country, 14, Province, 15, River, 15, Country, 15, Province, 16, Name, 16, Islands, 16, Area, 16, Height, 16, Type, 16, Longitude, 16, Latitude, 17, Island, 17, Sea, 17, Lake, 17, River, 18, Country, 18, Organization, 18, Type, 19, Name, 19, Area, 19, Depth, 19, Altitude, 19, Type, 19, River, 19, Longitude, 19, Latitude, 20, Country, 20, Name, 20, Percentage, 21, City, 21, Province, 21, Country, 21, River, 21, Lake, 21, Sea, 22, City, 22, Province, 22, Country, 22, Island, 23, Sea1, 23, Sea2, 24, Name, 24, Mountains, 24, Height, 24, Type, 24, Longitude, 24, Latitude, 25, Mountain, 25, Island, 26, Abbreviation, 26, Name, 26, City, 26, Country, 26, Province, 26, Established, 27, Country, 27, Independence, 27, Dependent, 27, Government, 28, Country, 28, Population_Growth, 28, Infant_Mortality, 29, Name, 29, Country, 29, Population, 29, Area, 29, Capital, 29, CapProv, 30, Country, 30, Name, 30, Percentage, 31, Name, 31, River, 31, Lake, 31, Sea, 31, Length, 31, SourceLongitude, 31, SourceLatitude, 31, Mountains, 31, SourceAltitude, 31, EstuaryLongitude, 31, EstuaryLatitude, 32, Name, 32, Depth, 33, Country, 33, Target
Question: List all the cities and provinces located at the rivers that flows to Atlantic Ocean.
Evidence: Atlantic Ocean is the second-largest ocean on Earth, after the Pacific Ocean; Ocean and sea share the same meaning
SQL: SELECT T1.Name, T1.Province FROM city AS T1 INNER JOIN located AS T2 ON T1.Name = T2.City INNER JOIN river AS T3 ON T3.Name = T2.River WHERE T3.Sea = 'Atlantic Ocean'
Database: mondial_geo
Tables: borders, city, continent, country, desert, economy, encompasses, ethnicGroup, geo_desert, geo_estuary, geo_island, geo_lake, geo_mountain, geo_river, geo_sea, geo_source, island, islandIn, isMember, lake, language, located, locatedOn, mergesWith, mountain, mountainOnIsland, organization, politics, population, province, religion, river, sea, target
Columns (table index, column name): -1, *, 0, Country1, 0, Country2, 0, Length, 1, Name, 1, Country, 1, Province, 1, Population, 1, Longitude, 1, Latitude, 2, Name, 2, Area, 3, Name, 3, Code, 3, Capital, 3, Province, 3, Area, 3, Population, 4, Name, 4, Area, 4, Longitude, 4, Latitude, 5, Country, 5, GDP, 5, Agriculture, 5, Service, 5, Industry, 5, Inflation, 6, Country, 6, Continent, 6, Percentage, 7, Country, 7, Name, 7, Percentage, 8, Desert, 8, Country, 8, Province, 9, River, 9, Country, 9, Province, 10, Island, 10, Country, 10, Province, 11, Lake, 11, Country, 11, Province, 12, Mountain, 12, Country, 12, Province, 13, River, 13, Country, 13, Province, 14, Sea, 14, Country, 14, Province, 15, River, 15, Country, 15, Province, 16, Name, 16, Islands, 16, Area, 16, Height, 16, Type, 16, Longitude, 16, Latitude, 17, Island, 17, Sea, 17, Lake, 17, River, 18, Country, 18, Organization, 18, Type, 19, Name, 19, Area, 19, Depth, 19, Altitude, 19, Type, 19, River, 19, Longitude, 19, Latitude, 20, Country, 20, Name, 20, Percentage, 21, City, 21, Province, 21, Country, 21, River, 21, Lake, 21, Sea, 22, City, 22, Province, 22, Country, 22, Island, 23, Sea1, 23, Sea2, 24, Name, 24, Mountains, 24, Height, 24, Type, 24, Longitude, 24, Latitude, 25, Mountain, 25, Island, 26, Abbreviation, 26, Name, 26, City, 26, Country, 26, Province, 26, Established, 27, Country, 27, Independence, 27, Dependent, 27, Government, 28, Country, 28, Population_Growth, 28, Infant_Mortality, 29, Name, 29, Country, 29, Population, 29, Area, 29, Capital, 29, CapProv, 30, Country, 30, Name, 30, Percentage, 31, Name, 31, River, 31, Lake, 31, Sea, 31, Length, 31, SourceLongitude, 31, SourceLatitude, 31, Mountains, 31, SourceAltitude, 31, EstuaryLongitude, 31, EstuaryLatitude, 32, Name, 32, Depth, 33, Country, 33, Target
Question: What is the name and length of rivers located at 'Orleans' city?
Evidence: Orleans is a city in north-central France
SQL: SELECT T3.Name, T3.Length FROM city AS T1 INNER JOIN located AS T2 ON T1.Name = T2.City INNER JOIN river AS T3 ON T3.Name = T2.River WHERE T1.Name = 'Orleans'
Database: mondial_geo
Tables: borders, city, continent, country, desert, economy, encompasses, ethnicGroup, geo_desert, geo_estuary, geo_island, geo_lake, geo_mountain, geo_river, geo_sea, geo_source, island, islandIn, isMember, lake, language, located, locatedOn, mergesWith, mountain, mountainOnIsland, organization, politics, population, province, religion, river, sea, target
Columns (table index, column name): -1, *, 0, Country1, 0, Country2, 0, Length, 1, Name, 1, Country, 1, Province, 1, Population, 1, Longitude, 1, Latitude, 2, Name, 2, Area, 3, Name, 3, Code, 3, Capital, 3, Province, 3, Area, 3, Population, 4, Name, 4, Area, 4, Longitude, 4, Latitude, 5, Country, 5, GDP, 5, Agriculture, 5, Service, 5, Industry, 5, Inflation, 6, Country, 6, Continent, 6, Percentage, 7, Country, 7, Name, 7, Percentage, 8, Desert, 8, Country, 8, Province, 9, River, 9, Country, 9, Province, 10, Island, 10, Country, 10, Province, 11, Lake, 11, Country, 11, Province, 12, Mountain, 12, Country, 12, Province, 13, River, 13, Country, 13, Province, 14, Sea, 14, Country, 14, Province, 15, River, 15, Country, 15, Province, 16, Name, 16, Islands, 16, Area, 16, Height, 16, Type, 16, Longitude, 16, Latitude, 17, Island, 17, Sea, 17, Lake, 17, River, 18, Country, 18, Organization, 18, Type, 19, Name, 19, Area, 19, Depth, 19, Altitude, 19, Type, 19, River, 19, Longitude, 19, Latitude, 20, Country, 20, Name, 20, Percentage, 21, City, 21, Province, 21, Country, 21, River, 21, Lake, 21, Sea, 22, City, 22, Province, 22, Country, 22, Island, 23, Sea1, 23, Sea2, 24, Name, 24, Mountains, 24, Height, 24, Type, 24, Longitude, 24, Latitude, 25, Mountain, 25, Island, 26, Abbreviation, 26, Name, 26, City, 26, Country, 26, Province, 26, Established, 27, Country, 27, Independence, 27, Dependent, 27, Government, 28, Country, 28, Population_Growth, 28, Infant_Mortality, 29, Name, 29, Country, 29, Population, 29, Area, 29, Capital, 29, CapProv, 30, Country, 30, Name, 30, Percentage, 31, Name, 31, River, 31, Lake, 31, Sea, 31, Length, 31, SourceLongitude, 31, SourceLatitude, 31, Mountains, 31, SourceAltitude, 31, EstuaryLongitude, 31, EstuaryLatitude, 32, Name, 32, Depth, 33, Country, 33, Target
Question: What is the height of the mountain on which river 'Lech' is located? Please also provide its longitude and latitude.
SQL: SELECT T1.Height, T1.Latitude, T1.Longitude FROM mountain AS T1 INNER JOIN geo_mountain AS T2 ON T1.Name = T2.Mountain INNER JOIN province AS T3 ON T3.Name = T2.Province INNER JOIN located AS T4 ON T4.Province = T3.Name WHERE T4.River = 'Lech'
Database: mondial_geo
Tables: borders, city, continent, country, desert, economy, encompasses, ethnicGroup, geo_desert, geo_estuary, geo_island, geo_lake, geo_mountain, geo_river, geo_sea, geo_source, island, islandIn, isMember, lake, language, located, locatedOn, mergesWith, mountain, mountainOnIsland, organization, politics, population, province, religion, river, sea, target
Columns (table index, column name): -1, *, 0, Country1, 0, Country2, 0, Length, 1, Name, 1, Country, 1, Province, 1, Population, 1, Longitude, 1, Latitude, 2, Name, 2, Area, 3, Name, 3, Code, 3, Capital, 3, Province, 3, Area, 3, Population, 4, Name, 4, Area, 4, Longitude, 4, Latitude, 5, Country, 5, GDP, 5, Agriculture, 5, Service, 5, Industry, 5, Inflation, 6, Country, 6, Continent, 6, Percentage, 7, Country, 7, Name, 7, Percentage, 8, Desert, 8, Country, 8, Province, 9, River, 9, Country, 9, Province, 10, Island, 10, Country, 10, Province, 11, Lake, 11, Country, 11, Province, 12, Mountain, 12, Country, 12, Province, 13, River, 13, Country, 13, Province, 14, Sea, 14, Country, 14, Province, 15, River, 15, Country, 15, Province, 16, Name, 16, Islands, 16, Area, 16, Height, 16, Type, 16, Longitude, 16, Latitude, 17, Island, 17, Sea, 17, Lake, 17, River, 18, Country, 18, Organization, 18, Type, 19, Name, 19, Area, 19, Depth, 19, Altitude, 19, Type, 19, River, 19, Longitude, 19, Latitude, 20, Country, 20, Name, 20, Percentage, 21, City, 21, Province, 21, Country, 21, River, 21, Lake, 21, Sea, 22, City, 22, Province, 22, Country, 22, Island, 23, Sea1, 23, Sea2, 24, Name, 24, Mountains, 24, Height, 24, Type, 24, Longitude, 24, Latitude, 25, Mountain, 25, Island, 26, Abbreviation, 26, Name, 26, City, 26, Country, 26, Province, 26, Established, 27, Country, 27, Independence, 27, Dependent, 27, Government, 28, Country, 28, Population_Growth, 28, Infant_Mortality, 29, Name, 29, Country, 29, Population, 29, Area, 29, Capital, 29, CapProv, 30, Country, 30, Name, 30, Percentage, 31, Name, 31, River, 31, Lake, 31, Sea, 31, Length, 31, SourceLongitude, 31, SourceLatitude, 31, Mountains, 31, SourceAltitude, 31, EstuaryLongitude, 31, EstuaryLatitude, 32, Name, 32, Depth, 33, Country, 33, Target
Question: Name the river of which Lorraine is on. Please name the mountains where to source flow from?
Evidence: Lorraine is a province
SQL: SELECT T1.SourceLongitude, T1.SourceLatitude, T1.SourceAltitude FROM river AS T1 INNER JOIN geo_river AS T2 ON T2.River = T1.Name WHERE T2.Province = 'Lorraine'
Database: mondial_geo
Tables: borders, city, continent, country, desert, economy, encompasses, ethnicGroup, geo_desert, geo_estuary, geo_island, geo_lake, geo_mountain, geo_river, geo_sea, geo_source, island, islandIn, isMember, lake, language, located, locatedOn, mergesWith, mountain, mountainOnIsland, organization, politics, population, province, religion, river, sea, target
Columns (table index, column name): -1, *, 0, Country1, 0, Country2, 0, Length, 1, Name, 1, Country, 1, Province, 1, Population, 1, Longitude, 1, Latitude, 2, Name, 2, Area, 3, Name, 3, Code, 3, Capital, 3, Province, 3, Area, 3, Population, 4, Name, 4, Area, 4, Longitude, 4, Latitude, 5, Country, 5, GDP, 5, Agriculture, 5, Service, 5, Industry, 5, Inflation, 6, Country, 6, Continent, 6, Percentage, 7, Country, 7, Name, 7, Percentage, 8, Desert, 8, Country, 8, Province, 9, River, 9, Country, 9, Province, 10, Island, 10, Country, 10, Province, 11, Lake, 11, Country, 11, Province, 12, Mountain, 12, Country, 12, Province, 13, River, 13, Country, 13, Province, 14, Sea, 14, Country, 14, Province, 15, River, 15, Country, 15, Province, 16, Name, 16, Islands, 16, Area, 16, Height, 16, Type, 16, Longitude, 16, Latitude, 17, Island, 17, Sea, 17, Lake, 17, River, 18, Country, 18, Organization, 18, Type, 19, Name, 19, Area, 19, Depth, 19, Altitude, 19, Type, 19, River, 19, Longitude, 19, Latitude, 20, Country, 20, Name, 20, Percentage, 21, City, 21, Province, 21, Country, 21, River, 21, Lake, 21, Sea, 22, City, 22, Province, 22, Country, 22, Island, 23, Sea1, 23, Sea2, 24, Name, 24, Mountains, 24, Height, 24, Type, 24, Longitude, 24, Latitude, 25, Mountain, 25, Island, 26, Abbreviation, 26, Name, 26, City, 26, Country, 26, Province, 26, Established, 27, Country, 27, Independence, 27, Dependent, 27, Government, 28, Country, 28, Population_Growth, 28, Infant_Mortality, 29, Name, 29, Country, 29, Population, 29, Area, 29, Capital, 29, CapProv, 30, Country, 30, Name, 30, Percentage, 31, Name, 31, River, 31, Lake, 31, Sea, 31, Length, 31, SourceLongitude, 31, SourceLatitude, 31, Mountains, 31, SourceAltitude, 31, EstuaryLongitude, 31, EstuaryLatitude, 32, Name, 32, Depth, 33, Country, 33, Target
Question: Which mountain does the river source Blue Nile located? State the height of the mountain.
SQL: SELECT T1.Name, T1.Height FROM mountain AS T1 INNER JOIN geo_mountain AS T2 ON T1.Name = T2.Mountain INNER JOIN province AS T3 ON T3.Name = T2.Province INNER JOIN geo_source AS T4 ON T4.Province = T3.Name WHERE T4.River = 'Blue Nile'