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[INST] Here is a database schema:
sales_in_weather :
date [ DATE ]
store_nbr [ INTEGER ]
item_nbr [ INTEGER ]
units [ INTEGER ]
weather :
station_nbr [ INTEGER ]
date [ DATE ]
tmax [ INTEGER ]
tmin [ INTEGER ]
tavg [ INTEGER ]
depart [ INTEGER ]
dewpoint [ INTEGER ]
wetbulb [ INTEGER ]
heat [ INTEGER ]
cool [ INTEGER ]
sunrise [ TEXT ]
sunset [ TEXT ]
codesum [ TEXT ]
snowfall [ REAL ]
preciptotal [ REAL ]
stnpressure [ REAL ]
sealevel [ REAL ]
resultspeed [ REAL ]
resultdir [ INTEGER ]
avgspeed [ REAL ]
relation :
store_nbr [ INTEGER ] primary_key relation.store_nbr = sales_in_weather.store_nbr
station_nbr [ INTEGER ] relation.station_nbr = weather.station_nbr
Please write me a SQL statement that answers the following question: What is the minimum dew point? [/INST] | SELECT MIN(dewpoint) FROM weather; |
[INST] Here is a database schema:
sales_in_weather :
date [ DATE ]
store_nbr [ INTEGER ]
item_nbr [ INTEGER ]
units [ INTEGER ]
weather :
station_nbr [ INTEGER ]
date [ DATE ]
tmax [ INTEGER ]
tmin [ INTEGER ]
tavg [ INTEGER ]
depart [ INTEGER ]
dewpoint [ INTEGER ]
wetbulb [ INTEGER ]
heat [ INTEGER ]
cool [ INTEGER ]
sunrise [ TEXT ]
sunset [ TEXT ]
codesum [ TEXT ]
snowfall [ REAL ]
preciptotal [ REAL ]
stnpressure [ REAL ]
sealevel [ REAL ]
resultspeed [ REAL ]
resultdir [ INTEGER ]
avgspeed [ REAL ]
relation :
store_nbr [ INTEGER ] primary_key relation.store_nbr = sales_in_weather.store_nbr
station_nbr [ INTEGER ] relation.station_nbr = weather.station_nbr
Please write me a SQL statement that answers the following question: What is the maximum and minimum temperature for station number 1 on 15 January 2012? [/INST] | SELECT tmax, tmin FROM weather WHERE station_nbr = 1 AND `date` = '2012-01-15'; |
[INST] Here is a database schema:
sales_in_weather :
date [ DATE ]
store_nbr [ INTEGER ]
item_nbr [ INTEGER ]
units [ INTEGER ]
weather :
station_nbr [ INTEGER ]
date [ DATE ]
tmax [ INTEGER ]
tmin [ INTEGER ]
tavg [ INTEGER ]
depart [ INTEGER ]
dewpoint [ INTEGER ]
wetbulb [ INTEGER ]
heat [ INTEGER ]
cool [ INTEGER ]
sunrise [ TEXT ]
sunset [ TEXT ]
codesum [ TEXT ]
snowfall [ REAL ]
preciptotal [ REAL ]
stnpressure [ REAL ]
sealevel [ REAL ]
resultspeed [ REAL ]
resultdir [ INTEGER ]
avgspeed [ REAL ]
relation :
store_nbr [ INTEGER ] primary_key relation.store_nbr = sales_in_weather.store_nbr
station_nbr [ INTEGER ] relation.station_nbr = weather.station_nbr
Please write me a SQL statement that answers the following question: How many stations were able to sell item 5 on January 2014? [/INST] | SELECT COUNT(DISTINCT T2.station_nbr) AS number FROM sales_in_weather AS T1 INNER JOIN relation AS T2 ON T1.store_nbr = T2.store_nbr WHERE SUBSTR(`date`, 1, 7) = '2014-01' AND item_nbr = 5; |
[INST] Here is a database schema:
sales_in_weather :
date [ DATE ]
store_nbr [ INTEGER ]
item_nbr [ INTEGER ]
units [ INTEGER ]
weather :
station_nbr [ INTEGER ]
date [ DATE ]
tmax [ INTEGER ]
tmin [ INTEGER ]
tavg [ INTEGER ]
depart [ INTEGER ]
dewpoint [ INTEGER ]
wetbulb [ INTEGER ]
heat [ INTEGER ]
cool [ INTEGER ]
sunrise [ TEXT ]
sunset [ TEXT ]
codesum [ TEXT ]
snowfall [ REAL ]
preciptotal [ REAL ]
stnpressure [ REAL ]
sealevel [ REAL ]
resultspeed [ REAL ]
resultdir [ INTEGER ]
avgspeed [ REAL ]
relation :
store_nbr [ INTEGER ] primary_key relation.store_nbr = sales_in_weather.store_nbr
station_nbr [ INTEGER ] relation.station_nbr = weather.station_nbr
Please write me a SQL statement that answers the following question: What is the lowest minimum temperature recorded in store 16 on January 2012? [/INST] | SELECT MIN(tmin) FROM weather AS T1 INNER JOIN relation AS T2 ON T1.station_nbr = T2.station_nbr WHERE T2.store_nbr = 16 AND T1.`date` LIKE '%2012-01%'; |
[INST] Here is a database schema:
sales_in_weather :
date [ DATE ]
store_nbr [ INTEGER ]
item_nbr [ INTEGER ]
units [ INTEGER ]
weather :
station_nbr [ INTEGER ]
date [ DATE ]
tmax [ INTEGER ]
tmin [ INTEGER ]
tavg [ INTEGER ]
depart [ INTEGER ]
dewpoint [ INTEGER ]
wetbulb [ INTEGER ]
heat [ INTEGER ]
cool [ INTEGER ]
sunrise [ TEXT ]
sunset [ TEXT ]
codesum [ TEXT ]
snowfall [ REAL ]
preciptotal [ REAL ]
stnpressure [ REAL ]
sealevel [ REAL ]
resultspeed [ REAL ]
resultdir [ INTEGER ]
avgspeed [ REAL ]
relation :
store_nbr [ INTEGER ] primary_key relation.store_nbr = sales_in_weather.store_nbr
station_nbr [ INTEGER ] relation.station_nbr = weather.station_nbr
Please write me a SQL statement that answers the following question: How many units of item 7 have been sold by store 7 when the snow is less than 5 inches? [/INST] | SELECT SUM(units) FROM weather AS T1 INNER JOIN relation AS T2 ON T1.station_nbr = T2.station_nbr INNER JOIN sales_in_weather AS T3 ON T2.store_nbr = T3.store_nbr WHERE T2.store_nbr = 7 AND T3.item_nbr = 7 AND T1.snowfall < 5; |
[INST] Here is a database schema:
sales_in_weather :
date [ DATE ]
store_nbr [ INTEGER ]
item_nbr [ INTEGER ]
units [ INTEGER ]
weather :
station_nbr [ INTEGER ]
date [ DATE ]
tmax [ INTEGER ]
tmin [ INTEGER ]
tavg [ INTEGER ]
depart [ INTEGER ]
dewpoint [ INTEGER ]
wetbulb [ INTEGER ]
heat [ INTEGER ]
cool [ INTEGER ]
sunrise [ TEXT ]
sunset [ TEXT ]
codesum [ TEXT ]
snowfall [ REAL ]
preciptotal [ REAL ]
stnpressure [ REAL ]
sealevel [ REAL ]
resultspeed [ REAL ]
resultdir [ INTEGER ]
avgspeed [ REAL ]
relation :
store_nbr [ INTEGER ] primary_key relation.store_nbr = sales_in_weather.store_nbr
station_nbr [ INTEGER ] relation.station_nbr = weather.station_nbr
Please write me a SQL statement that answers the following question: How many items were sold by store 9 during a snowy day? [/INST] | SELECT COUNT(DISTINCT item_nbr) FROM weather AS T1 INNER JOIN relation AS T2 ON T1.station_nbr = T2.station_nbr INNER JOIN sales_in_weather AS T3 ON T2.store_nbr = T3.store_nbr WHERE T3.store_nbr = 9 AND T1.snowfall <> 0 AND T1.snowfall IS NOT NULL; |
[INST] Here is a database schema:
sales_in_weather :
date [ DATE ]
store_nbr [ INTEGER ]
item_nbr [ INTEGER ]
units [ INTEGER ]
weather :
station_nbr [ INTEGER ]
date [ DATE ]
tmax [ INTEGER ]
tmin [ INTEGER ]
tavg [ INTEGER ]
depart [ INTEGER ]
dewpoint [ INTEGER ]
wetbulb [ INTEGER ]
heat [ INTEGER ]
cool [ INTEGER ]
sunrise [ TEXT ]
sunset [ TEXT ]
codesum [ TEXT ]
snowfall [ REAL ]
preciptotal [ REAL ]
stnpressure [ REAL ]
sealevel [ REAL ]
resultspeed [ REAL ]
resultdir [ INTEGER ]
avgspeed [ REAL ]
relation :
store_nbr [ INTEGER ] primary_key relation.store_nbr = sales_in_weather.store_nbr
station_nbr [ INTEGER ] relation.station_nbr = weather.station_nbr
Please write me a SQL statement that answers the following question: List out stations number and items sold by store 17. [/INST] | SELECT T1.station_nbr, T2.item_nbr FROM relation AS T1 INNER JOIN sales_in_weather AS T2 ON T1.store_nbr = T2.store_nbr WHERE T1.store_nbr = 17 GROUP BY T1.station_nbr, T2.item_nbr; |
[INST] Here is a database schema:
sales_in_weather :
date [ DATE ]
store_nbr [ INTEGER ]
item_nbr [ INTEGER ]
units [ INTEGER ]
weather :
station_nbr [ INTEGER ]
date [ DATE ]
tmax [ INTEGER ]
tmin [ INTEGER ]
tavg [ INTEGER ]
depart [ INTEGER ]
dewpoint [ INTEGER ]
wetbulb [ INTEGER ]
heat [ INTEGER ]
cool [ INTEGER ]
sunrise [ TEXT ]
sunset [ TEXT ]
codesum [ TEXT ]
snowfall [ REAL ]
preciptotal [ REAL ]
stnpressure [ REAL ]
sealevel [ REAL ]
resultspeed [ REAL ]
resultdir [ INTEGER ]
avgspeed [ REAL ]
relation :
store_nbr [ INTEGER ] primary_key relation.store_nbr = sales_in_weather.store_nbr
station_nbr [ INTEGER ] relation.station_nbr = weather.station_nbr
Please write me a SQL statement that answers the following question: List out dates when haze is recorded in store 35. [/INST] | SELECT T1.`date` FROM weather AS T1 INNER JOIN relation AS T2 ON T1.station_nbr = T2.station_nbr WHERE T2.store_nbr = 35 AND T1.codesum LIKE '%' OR 'HZ' OR '%'; |
[INST] Here is a database schema:
sales_in_weather :
date [ DATE ]
store_nbr [ INTEGER ]
item_nbr [ INTEGER ]
units [ INTEGER ]
weather :
station_nbr [ INTEGER ]
date [ DATE ]
tmax [ INTEGER ]
tmin [ INTEGER ]
tavg [ INTEGER ]
depart [ INTEGER ]
dewpoint [ INTEGER ]
wetbulb [ INTEGER ]
heat [ INTEGER ]
cool [ INTEGER ]
sunrise [ TEXT ]
sunset [ TEXT ]
codesum [ TEXT ]
snowfall [ REAL ]
preciptotal [ REAL ]
stnpressure [ REAL ]
sealevel [ REAL ]
resultspeed [ REAL ]
resultdir [ INTEGER ]
avgspeed [ REAL ]
relation :
store_nbr [ INTEGER ] primary_key relation.store_nbr = sales_in_weather.store_nbr
station_nbr [ INTEGER ] relation.station_nbr = weather.station_nbr
Please write me a SQL statement that answers the following question: What is the sea level and average speed for store number 3 and store number 4? [/INST] | SELECT T1.sealevel, T1.avgspeed FROM weather AS T1 INNER JOIN relation AS T2 ON T1.station_nbr = T2.station_nbr WHERE T2.store_nbr = 3 OR T2.store_nbr = 4; |
[INST] Here is a database schema:
sales_in_weather :
date [ DATE ]
store_nbr [ INTEGER ]
item_nbr [ INTEGER ]
units [ INTEGER ]
weather :
station_nbr [ INTEGER ]
date [ DATE ]
tmax [ INTEGER ]
tmin [ INTEGER ]
tavg [ INTEGER ]
depart [ INTEGER ]
dewpoint [ INTEGER ]
wetbulb [ INTEGER ]
heat [ INTEGER ]
cool [ INTEGER ]
sunrise [ TEXT ]
sunset [ TEXT ]
codesum [ TEXT ]
snowfall [ REAL ]
preciptotal [ REAL ]
stnpressure [ REAL ]
sealevel [ REAL ]
resultspeed [ REAL ]
resultdir [ INTEGER ]
avgspeed [ REAL ]
relation :
store_nbr [ INTEGER ] primary_key relation.store_nbr = sales_in_weather.store_nbr
station_nbr [ INTEGER ] relation.station_nbr = weather.station_nbr
Please write me a SQL statement that answers the following question: Which items from store 1 have the highest units sold during rainy day? [/INST] | SELECT T2.item_nbr FROM weather AS T1 INNER JOIN sales_in_weather AS T2 ON T1.`date` = T2.`date` INNER JOIN relation AS T3 ON T2.store_nbr = T3.store_nbr AND T1.station_nbr = T3.station_nbr WHERE T2.store_nbr = 1 AND T1.codesum LIKE '%' OR 'RA' OR '%' GROUP BY T2.item_nbr ORDER BY T2.units DESC LIMIT 1; |
[INST] Here is a database schema:
sales_in_weather :
date [ DATE ]
store_nbr [ INTEGER ]
item_nbr [ INTEGER ]
units [ INTEGER ]
weather :
station_nbr [ INTEGER ]
date [ DATE ]
tmax [ INTEGER ]
tmin [ INTEGER ]
tavg [ INTEGER ]
depart [ INTEGER ]
dewpoint [ INTEGER ]
wetbulb [ INTEGER ]
heat [ INTEGER ]
cool [ INTEGER ]
sunrise [ TEXT ]
sunset [ TEXT ]
codesum [ TEXT ]
snowfall [ REAL ]
preciptotal [ REAL ]
stnpressure [ REAL ]
sealevel [ REAL ]
resultspeed [ REAL ]
resultdir [ INTEGER ]
avgspeed [ REAL ]
relation :
store_nbr [ INTEGER ] primary_key relation.store_nbr = sales_in_weather.store_nbr
station_nbr [ INTEGER ] relation.station_nbr = weather.station_nbr
Please write me a SQL statement that answers the following question: What is the ratio of the highest and lowest temperature in store 11? [/INST] | SELECT CAST((MAX(T1.tmax) - MIN(T1.tmin)) AS REAL) / MIN(T1.tmin) FROM weather AS T1 INNER JOIN relation AS T2 ON T1.station_nbr = T2.station_nbr WHERE T2.store_nbr = 11; |
[INST] Here is a database schema:
sales_in_weather :
date [ DATE ]
store_nbr [ INTEGER ]
item_nbr [ INTEGER ]
units [ INTEGER ]
weather :
station_nbr [ INTEGER ]
date [ DATE ]
tmax [ INTEGER ]
tmin [ INTEGER ]
tavg [ INTEGER ]
depart [ INTEGER ]
dewpoint [ INTEGER ]
wetbulb [ INTEGER ]
heat [ INTEGER ]
cool [ INTEGER ]
sunrise [ TEXT ]
sunset [ TEXT ]
codesum [ TEXT ]
snowfall [ REAL ]
preciptotal [ REAL ]
stnpressure [ REAL ]
sealevel [ REAL ]
resultspeed [ REAL ]
resultdir [ INTEGER ]
avgspeed [ REAL ]
relation :
store_nbr [ INTEGER ] primary_key relation.store_nbr = sales_in_weather.store_nbr
station_nbr [ INTEGER ] relation.station_nbr = weather.station_nbr
Please write me a SQL statement that answers the following question: What was the difference of number of units sold in station number 1 and number 2 on year 2012? [/INST] | SELECT SUM(CASE WHEN T1.station_nbr = 1 THEN units ELSE 0 END) - SUM(CASE WHEN T1.station_nbr = 2 THEN units ELSE 0 END) FROM relation AS T1 INNER JOIN sales_in_weather AS T2 ON T1.store_nbr = T2.store_nbr WHERE T2.`date` LIKE '%2012%'; |
[INST] Here is a database schema:
sales_in_weather :
date [ DATE ]
store_nbr [ INTEGER ]
item_nbr [ INTEGER ]
units [ INTEGER ]
weather :
station_nbr [ INTEGER ]
date [ DATE ]
tmax [ INTEGER ]
tmin [ INTEGER ]
tavg [ INTEGER ]
depart [ INTEGER ]
dewpoint [ INTEGER ]
wetbulb [ INTEGER ]
heat [ INTEGER ]
cool [ INTEGER ]
sunrise [ TEXT ]
sunset [ TEXT ]
codesum [ TEXT ]
snowfall [ REAL ]
preciptotal [ REAL ]
stnpressure [ REAL ]
sealevel [ REAL ]
resultspeed [ REAL ]
resultdir [ INTEGER ]
avgspeed [ REAL ]
relation :
store_nbr [ INTEGER ] primary_key relation.store_nbr = sales_in_weather.store_nbr
station_nbr [ INTEGER ] relation.station_nbr = weather.station_nbr
Please write me a SQL statement that answers the following question: What was the average temperature difference between store number 18 and 19 on 16 September 2022? [/INST] | SELECT SUM(CASE WHEN T1.store_nbr = 18 THEN T2.tavg ELSE 0 END) - SUM(CASE WHEN T1.store_nbr = 19 THEN T2.tavg ELSE 0 END) FROM relation AS T1 INNER JOIN weather AS T2 ON T1.station_nbr = T2.station_nbr WHERE T2.`date` = '2012-09-16'; |
[INST] Here is a database schema:
sales_in_weather :
date [ DATE ]
store_nbr [ INTEGER ]
item_nbr [ INTEGER ]
units [ INTEGER ]
weather :
station_nbr [ INTEGER ]
date [ DATE ]
tmax [ INTEGER ]
tmin [ INTEGER ]
tavg [ INTEGER ]
depart [ INTEGER ]
dewpoint [ INTEGER ]
wetbulb [ INTEGER ]
heat [ INTEGER ]
cool [ INTEGER ]
sunrise [ TEXT ]
sunset [ TEXT ]
codesum [ TEXT ]
snowfall [ REAL ]
preciptotal [ REAL ]
stnpressure [ REAL ]
sealevel [ REAL ]
resultspeed [ REAL ]
resultdir [ INTEGER ]
avgspeed [ REAL ]
relation :
store_nbr [ INTEGER ] primary_key relation.store_nbr = sales_in_weather.store_nbr
station_nbr [ INTEGER ] relation.station_nbr = weather.station_nbr
Please write me a SQL statement that answers the following question: How many units are being sold for item 1 when the average temperature is 83? [/INST] | SELECT SUM(units) FROM weather AS T1 INNER JOIN sales_in_weather AS T2 ON T1.`date` = T2.`date` INNER JOIN relation AS T3 ON T2.store_nbr = T3.store_nbr WHERE T2.item_nbr = 1 AND T1.tavg = 83; |
[INST] Here is a database schema:
sales_in_weather :
date [ DATE ]
store_nbr [ INTEGER ]
item_nbr [ INTEGER ]
units [ INTEGER ]
weather :
station_nbr [ INTEGER ]
date [ DATE ]
tmax [ INTEGER ]
tmin [ INTEGER ]
tavg [ INTEGER ]
depart [ INTEGER ]
dewpoint [ INTEGER ]
wetbulb [ INTEGER ]
heat [ INTEGER ]
cool [ INTEGER ]
sunrise [ TEXT ]
sunset [ TEXT ]
codesum [ TEXT ]
snowfall [ REAL ]
preciptotal [ REAL ]
stnpressure [ REAL ]
sealevel [ REAL ]
resultspeed [ REAL ]
resultdir [ INTEGER ]
avgspeed [ REAL ]
relation :
store_nbr [ INTEGER ] primary_key relation.store_nbr = sales_in_weather.store_nbr
station_nbr [ INTEGER ] relation.station_nbr = weather.station_nbr
Please write me a SQL statement that answers the following question: What is the difference between the units sold for item 1 when the sunset was the earliest and the latest? [/INST] | SELECT ( SELECT SUM(T2.units) AS sumunit FROM weather AS T1 INNER JOIN sales_in_weather AS T2 ON T1.`date` = T2.`date` INNER JOIN relation AS T3 ON T2.store_nbr = T3.store_nbr WHERE T2.item_nbr = 5 AND sunset IS NOT NULL GROUP BY T1.sunset ORDER BY T1.sunset LIMIT 1 ) - ( SELECT SUM(T2.units) AS sumunit FROM weather AS T1 INNER JOIN sales_in_weather AS T2 ON T1.`date` = T2.`date` INNER JOIN relation AS T3 ON T2.store_nbr = T3.store_nbr WHERE T2.item_nbr = 5 AND sunset IS NOT NULL GROUP BY T1.sunset ORDER BY T1.sunset DESC LIMIT 1 ); |
[INST] Here is a database schema:
sales_in_weather :
date [ DATE ]
store_nbr [ INTEGER ]
item_nbr [ INTEGER ]
units [ INTEGER ]
weather :
station_nbr [ INTEGER ]
date [ DATE ]
tmax [ INTEGER ]
tmin [ INTEGER ]
tavg [ INTEGER ]
depart [ INTEGER ]
dewpoint [ INTEGER ]
wetbulb [ INTEGER ]
heat [ INTEGER ]
cool [ INTEGER ]
sunrise [ TEXT ]
sunset [ TEXT ]
codesum [ TEXT ]
snowfall [ REAL ]
preciptotal [ REAL ]
stnpressure [ REAL ]
sealevel [ REAL ]
resultspeed [ REAL ]
resultdir [ INTEGER ]
avgspeed [ REAL ]
relation :
store_nbr [ INTEGER ] primary_key relation.store_nbr = sales_in_weather.store_nbr
station_nbr [ INTEGER ] relation.station_nbr = weather.station_nbr
Please write me a SQL statement that answers the following question: What was the total unit sold for item 10 when the average temperature was below the median temperature? [/INST] | SELECT SUM(T5.units) FROM weather AS T4 INNER JOIN sales_in_weather AS T5 ON T4.`date` = T5.`date` INNER JOIN relation AS T6 ON T5.store_nbr = T6.store_nbr WHERE T5.item_nbr = 10 AND T4.tavg < ( SELECT AVG(T1.tavg) FROM weather AS T1 INNER JOIN sales_in_weather AS T2 ON T1.`date` = T2.`date` INNER JOIN relation AS T3 ON T2.store_nbr = T3.store_nbr WHERE T2.item_nbr = 10 ); |
[INST] Here is a database schema:
sales_in_weather :
date [ DATE ]
store_nbr [ INTEGER ]
item_nbr [ INTEGER ]
units [ INTEGER ]
weather :
station_nbr [ INTEGER ]
date [ DATE ]
tmax [ INTEGER ]
tmin [ INTEGER ]
tavg [ INTEGER ]
depart [ INTEGER ]
dewpoint [ INTEGER ]
wetbulb [ INTEGER ]
heat [ INTEGER ]
cool [ INTEGER ]
sunrise [ TEXT ]
sunset [ TEXT ]
codesum [ TEXT ]
snowfall [ REAL ]
preciptotal [ REAL ]
stnpressure [ REAL ]
sealevel [ REAL ]
resultspeed [ REAL ]
resultdir [ INTEGER ]
avgspeed [ REAL ]
relation :
store_nbr [ INTEGER ] primary_key relation.store_nbr = sales_in_weather.store_nbr
station_nbr [ INTEGER ] relation.station_nbr = weather.station_nbr
Please write me a SQL statement that answers the following question: What was the average temperature differences during May 2012 for store number 6 and 7? [/INST] | SELECT ( SELECT CAST(SUM(tavg) AS REAL) / COUNT(`date`) FROM weather AS T1 INNER JOIN relation AS T2 ON T1.station_nbr = T2.station_nbr AND T1.`date` LIKE '%2012-05%' AND T2.store_nbr = 6 ) - ( SELECT CAST(SUM(tavg) AS REAL) / COUNT(`date`) FROM weather AS T1 INNER JOIN relation AS T2 ON T1.station_nbr = T2.station_nbr WHERE T1.`date` LIKE '%2012-05%' AND T2.store_nbr = 7 ); |
[INST] Here is a database schema:
borders :
Country1 [ TEXT ]
Country2 [ TEXT ]
Length [ REAL ]
city :
Name [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
Population [ INTEGER ]
Longitude [ REAL ]
Latitude [ REAL ]
continent :
Name [ TEXT ] primary_key
Area [ REAL ]
country :
Name [ TEXT ]
Code [ TEXT ] primary_key
Capital [ TEXT ]
Province [ TEXT ]
Area [ REAL ]
Population [ INTEGER ]
desert :
Name [ TEXT ] primary_key
Area [ REAL ]
Longitude [ REAL ]
Latitude [ REAL ]
economy :
Country [ TEXT ] primary_key
GDP [ REAL ]
Agriculture [ REAL ]
Service [ REAL ]
Industry [ REAL ]
Inflation [ REAL ]
encompasses :
Country [ TEXT ]
Continent [ TEXT ]
Percentage [ REAL ]
ethnicGroup :
Country [ TEXT ]
Name [ TEXT ]
Percentage [ REAL ]
geo_desert :
Desert [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_estuary :
River [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_island :
Island [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_lake :
Lake [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_mountain :
Mountain [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_river :
River [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_sea :
Sea [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_source :
River [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
island :
Name [ TEXT ] primary_key
Islands [ TEXT ]
Area [ REAL ]
Height [ REAL ]
Type [ TEXT ]
Longitude [ REAL ]
Latitude [ REAL ]
islandIn :
Island [ TEXT ]
Sea [ TEXT ]
Lake [ TEXT ]
River [ TEXT ]
isMember :
Country [ TEXT ]
Organization [ TEXT ]
Type [ TEXT ]
lake :
Name [ TEXT ] primary_key
Area [ REAL ]
Depth [ REAL ]
Altitude [ REAL ]
Type [ TEXT ]
River [ TEXT ]
Longitude [ REAL ]
Latitude [ REAL ]
language :
Country [ TEXT ]
Name [ TEXT ]
Percentage [ REAL ]
located :
City [ TEXT ]
Province [ TEXT ]
Country [ TEXT ]
River [ TEXT ]
Lake [ TEXT ]
Sea [ TEXT ]
locatedOn :
City [ TEXT ]
Province [ TEXT ]
Country [ TEXT ]
Island [ TEXT ]
mergesWith :
Sea1 [ TEXT ]
Sea2 [ TEXT ]
mountain :
Name [ TEXT ] primary_key
Mountains [ TEXT ]
Height [ REAL ]
Type [ TEXT ]
Longitude [ REAL ]
Latitude [ REAL ]
mountainOnIsland :
Mountain [ TEXT ]
Island [ TEXT ]
organization :
Abbreviation [ TEXT ] primary_key
Name [ TEXT ]
City [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
Established [ DATE ]
politics :
Country [ TEXT ] primary_key
Independence [ DATE ]
Dependent [ TEXT ]
Government [ TEXT ]
population :
Country [ TEXT ] primary_key
Population_Growth [ REAL ]
Infant_Mortality [ REAL ]
province :
Name [ TEXT ]
Country [ TEXT ]
Population [ INTEGER ]
Area [ REAL ]
Capital [ TEXT ]
CapProv [ TEXT ]
religion :
Country [ TEXT ]
Name [ TEXT ]
Percentage [ REAL ]
river :
Name [ TEXT ] primary_key
River [ TEXT ]
Lake [ TEXT ]
Sea [ TEXT ]
Length [ REAL ]
SourceLongitude [ REAL ]
SourceLatitude [ REAL ]
Mountains [ TEXT ]
SourceAltitude [ REAL ]
EstuaryLongitude [ REAL ]
EstuaryLatitude [ REAL ]
sea :
Name [ TEXT ] primary_key
Depth [ REAL ]
target :
Country [ TEXT ] primary_key
Target [ TEXT ]
Please write me a SQL statement that answers the following question: In which country does Polish found least in? [/INST] | SELECT T2.Name FROM ethnicGroup AS T1 INNER JOIN country AS T2 ON T1.Country = T2.Code WHERE T1.Name = 'Polish' GROUP BY T2.Name, T1.Percentage ORDER BY T1.Percentage ASC LIMIT 1; |
[INST] Here is a database schema:
borders :
Country1 [ TEXT ]
Country2 [ TEXT ]
Length [ REAL ]
city :
Name [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
Population [ INTEGER ]
Longitude [ REAL ]
Latitude [ REAL ]
continent :
Name [ TEXT ] primary_key
Area [ REAL ]
country :
Name [ TEXT ]
Code [ TEXT ] primary_key
Capital [ TEXT ]
Province [ TEXT ]
Area [ REAL ]
Population [ INTEGER ]
desert :
Name [ TEXT ] primary_key
Area [ REAL ]
Longitude [ REAL ]
Latitude [ REAL ]
economy :
Country [ TEXT ] primary_key
GDP [ REAL ]
Agriculture [ REAL ]
Service [ REAL ]
Industry [ REAL ]
Inflation [ REAL ]
encompasses :
Country [ TEXT ]
Continent [ TEXT ]
Percentage [ REAL ]
ethnicGroup :
Country [ TEXT ]
Name [ TEXT ]
Percentage [ REAL ]
geo_desert :
Desert [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_estuary :
River [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_island :
Island [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_lake :
Lake [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_mountain :
Mountain [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_river :
River [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_sea :
Sea [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_source :
River [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
island :
Name [ TEXT ] primary_key
Islands [ TEXT ]
Area [ REAL ]
Height [ REAL ]
Type [ TEXT ]
Longitude [ REAL ]
Latitude [ REAL ]
islandIn :
Island [ TEXT ]
Sea [ TEXT ]
Lake [ TEXT ]
River [ TEXT ]
isMember :
Country [ TEXT ]
Organization [ TEXT ]
Type [ TEXT ]
lake :
Name [ TEXT ] primary_key
Area [ REAL ]
Depth [ REAL ]
Altitude [ REAL ]
Type [ TEXT ]
River [ TEXT ]
Longitude [ REAL ]
Latitude [ REAL ]
language :
Country [ TEXT ]
Name [ TEXT ]
Percentage [ REAL ]
located :
City [ TEXT ]
Province [ TEXT ]
Country [ TEXT ]
River [ TEXT ]
Lake [ TEXT ]
Sea [ TEXT ]
locatedOn :
City [ TEXT ]
Province [ TEXT ]
Country [ TEXT ]
Island [ TEXT ]
mergesWith :
Sea1 [ TEXT ]
Sea2 [ TEXT ]
mountain :
Name [ TEXT ] primary_key
Mountains [ TEXT ]
Height [ REAL ]
Type [ TEXT ]
Longitude [ REAL ]
Latitude [ REAL ]
mountainOnIsland :
Mountain [ TEXT ]
Island [ TEXT ]
organization :
Abbreviation [ TEXT ] primary_key
Name [ TEXT ]
City [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
Established [ DATE ]
politics :
Country [ TEXT ] primary_key
Independence [ DATE ]
Dependent [ TEXT ]
Government [ TEXT ]
population :
Country [ TEXT ] primary_key
Population_Growth [ REAL ]
Infant_Mortality [ REAL ]
province :
Name [ TEXT ]
Country [ TEXT ]
Population [ INTEGER ]
Area [ REAL ]
Capital [ TEXT ]
CapProv [ TEXT ]
religion :
Country [ TEXT ]
Name [ TEXT ]
Percentage [ REAL ]
river :
Name [ TEXT ] primary_key
River [ TEXT ]
Lake [ TEXT ]
Sea [ TEXT ]
Length [ REAL ]
SourceLongitude [ REAL ]
SourceLatitude [ REAL ]
Mountains [ TEXT ]
SourceAltitude [ REAL ]
EstuaryLongitude [ REAL ]
EstuaryLatitude [ REAL ]
sea :
Name [ TEXT ] primary_key
Depth [ REAL ]
target :
Country [ TEXT ] primary_key
Target [ TEXT ]
Please write me a SQL statement that answers the following question: Which countries have more than 90% of African? List the name of the country in full. [/INST] | SELECT T2.Name FROM ethnicGroup AS T1 INNER JOIN country AS T2 ON T1.Country = T2.Code WHERE T1.Name = 'African' AND T1.Percentage > 90; |
[INST] Here is a database schema:
borders :
Country1 [ TEXT ]
Country2 [ TEXT ]
Length [ REAL ]
city :
Name [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
Population [ INTEGER ]
Longitude [ REAL ]
Latitude [ REAL ]
continent :
Name [ TEXT ] primary_key
Area [ REAL ]
country :
Name [ TEXT ]
Code [ TEXT ] primary_key
Capital [ TEXT ]
Province [ TEXT ]
Area [ REAL ]
Population [ INTEGER ]
desert :
Name [ TEXT ] primary_key
Area [ REAL ]
Longitude [ REAL ]
Latitude [ REAL ]
economy :
Country [ TEXT ] primary_key
GDP [ REAL ]
Agriculture [ REAL ]
Service [ REAL ]
Industry [ REAL ]
Inflation [ REAL ]
encompasses :
Country [ TEXT ]
Continent [ TEXT ]
Percentage [ REAL ]
ethnicGroup :
Country [ TEXT ]
Name [ TEXT ]
Percentage [ REAL ]
geo_desert :
Desert [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_estuary :
River [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_island :
Island [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_lake :
Lake [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_mountain :
Mountain [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_river :
River [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_sea :
Sea [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_source :
River [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
island :
Name [ TEXT ] primary_key
Islands [ TEXT ]
Area [ REAL ]
Height [ REAL ]
Type [ TEXT ]
Longitude [ REAL ]
Latitude [ REAL ]
islandIn :
Island [ TEXT ]
Sea [ TEXT ]
Lake [ TEXT ]
River [ TEXT ]
isMember :
Country [ TEXT ]
Organization [ TEXT ]
Type [ TEXT ]
lake :
Name [ TEXT ] primary_key
Area [ REAL ]
Depth [ REAL ]
Altitude [ REAL ]
Type [ TEXT ]
River [ TEXT ]
Longitude [ REAL ]
Latitude [ REAL ]
language :
Country [ TEXT ]
Name [ TEXT ]
Percentage [ REAL ]
located :
City [ TEXT ]
Province [ TEXT ]
Country [ TEXT ]
River [ TEXT ]
Lake [ TEXT ]
Sea [ TEXT ]
locatedOn :
City [ TEXT ]
Province [ TEXT ]
Country [ TEXT ]
Island [ TEXT ]
mergesWith :
Sea1 [ TEXT ]
Sea2 [ TEXT ]
mountain :
Name [ TEXT ] primary_key
Mountains [ TEXT ]
Height [ REAL ]
Type [ TEXT ]
Longitude [ REAL ]
Latitude [ REAL ]
mountainOnIsland :
Mountain [ TEXT ]
Island [ TEXT ]
organization :
Abbreviation [ TEXT ] primary_key
Name [ TEXT ]
City [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
Established [ DATE ]
politics :
Country [ TEXT ] primary_key
Independence [ DATE ]
Dependent [ TEXT ]
Government [ TEXT ]
population :
Country [ TEXT ] primary_key
Population_Growth [ REAL ]
Infant_Mortality [ REAL ]
province :
Name [ TEXT ]
Country [ TEXT ]
Population [ INTEGER ]
Area [ REAL ]
Capital [ TEXT ]
CapProv [ TEXT ]
religion :
Country [ TEXT ]
Name [ TEXT ]
Percentage [ REAL ]
river :
Name [ TEXT ] primary_key
River [ TEXT ]
Lake [ TEXT ]
Sea [ TEXT ]
Length [ REAL ]
SourceLongitude [ REAL ]
SourceLatitude [ REAL ]
Mountains [ TEXT ]
SourceAltitude [ REAL ]
EstuaryLongitude [ REAL ]
EstuaryLatitude [ REAL ]
sea :
Name [ TEXT ] primary_key
Depth [ REAL ]
target :
Country [ TEXT ] primary_key
Target [ TEXT ]
Please write me a SQL statement that answers the following question: State the different ethnic group and percentage of the language in Singapore. [/INST] | SELECT T1.Name, T1.Percentage FROM ethnicGroup AS T1 INNER JOIN country AS T2 ON T1.Country = T2.Code WHERE T2.Name = 'Singapore' GROUP BY T1.Name, T1.Percentage; |
[INST] Here is a database schema:
borders :
Country1 [ TEXT ]
Country2 [ TEXT ]
Length [ REAL ]
city :
Name [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
Population [ INTEGER ]
Longitude [ REAL ]
Latitude [ REAL ]
continent :
Name [ TEXT ] primary_key
Area [ REAL ]
country :
Name [ TEXT ]
Code [ TEXT ] primary_key
Capital [ TEXT ]
Province [ TEXT ]
Area [ REAL ]
Population [ INTEGER ]
desert :
Name [ TEXT ] primary_key
Area [ REAL ]
Longitude [ REAL ]
Latitude [ REAL ]
economy :
Country [ TEXT ] primary_key
GDP [ REAL ]
Agriculture [ REAL ]
Service [ REAL ]
Industry [ REAL ]
Inflation [ REAL ]
encompasses :
Country [ TEXT ]
Continent [ TEXT ]
Percentage [ REAL ]
ethnicGroup :
Country [ TEXT ]
Name [ TEXT ]
Percentage [ REAL ]
geo_desert :
Desert [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_estuary :
River [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_island :
Island [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_lake :
Lake [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_mountain :
Mountain [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_river :
River [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_sea :
Sea [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_source :
River [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
island :
Name [ TEXT ] primary_key
Islands [ TEXT ]
Area [ REAL ]
Height [ REAL ]
Type [ TEXT ]
Longitude [ REAL ]
Latitude [ REAL ]
islandIn :
Island [ TEXT ]
Sea [ TEXT ]
Lake [ TEXT ]
River [ TEXT ]
isMember :
Country [ TEXT ]
Organization [ TEXT ]
Type [ TEXT ]
lake :
Name [ TEXT ] primary_key
Area [ REAL ]
Depth [ REAL ]
Altitude [ REAL ]
Type [ TEXT ]
River [ TEXT ]
Longitude [ REAL ]
Latitude [ REAL ]
language :
Country [ TEXT ]
Name [ TEXT ]
Percentage [ REAL ]
located :
City [ TEXT ]
Province [ TEXT ]
Country [ TEXT ]
River [ TEXT ]
Lake [ TEXT ]
Sea [ TEXT ]
locatedOn :
City [ TEXT ]
Province [ TEXT ]
Country [ TEXT ]
Island [ TEXT ]
mergesWith :
Sea1 [ TEXT ]
Sea2 [ TEXT ]
mountain :
Name [ TEXT ] primary_key
Mountains [ TEXT ]
Height [ REAL ]
Type [ TEXT ]
Longitude [ REAL ]
Latitude [ REAL ]
mountainOnIsland :
Mountain [ TEXT ]
Island [ TEXT ]
organization :
Abbreviation [ TEXT ] primary_key
Name [ TEXT ]
City [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
Established [ DATE ]
politics :
Country [ TEXT ] primary_key
Independence [ DATE ]
Dependent [ TEXT ]
Government [ TEXT ]
population :
Country [ TEXT ] primary_key
Population_Growth [ REAL ]
Infant_Mortality [ REAL ]
province :
Name [ TEXT ]
Country [ TEXT ]
Population [ INTEGER ]
Area [ REAL ]
Capital [ TEXT ]
CapProv [ TEXT ]
religion :
Country [ TEXT ]
Name [ TEXT ]
Percentage [ REAL ]
river :
Name [ TEXT ] primary_key
River [ TEXT ]
Lake [ TEXT ]
Sea [ TEXT ]
Length [ REAL ]
SourceLongitude [ REAL ]
SourceLatitude [ REAL ]
Mountains [ TEXT ]
SourceAltitude [ REAL ]
EstuaryLongitude [ REAL ]
EstuaryLatitude [ REAL ]
sea :
Name [ TEXT ] primary_key
Depth [ REAL ]
target :
Country [ TEXT ] primary_key
Target [ TEXT ]
Please write me a SQL statement that answers the following question: Calculate the percentage of country which gained independence as republic after 1970. [/INST] | SELECT CAST(SUM(CASE WHEN Government = 'republic' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(Country) FROM politics WHERE STRFTIME('%Y', Independence) > '1970'; |
[INST] Here is a database schema:
borders :
Country1 [ TEXT ]
Country2 [ TEXT ]
Length [ REAL ]
city :
Name [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
Population [ INTEGER ]
Longitude [ REAL ]
Latitude [ REAL ]
continent :
Name [ TEXT ] primary_key
Area [ REAL ]
country :
Name [ TEXT ]
Code [ TEXT ] primary_key
Capital [ TEXT ]
Province [ TEXT ]
Area [ REAL ]
Population [ INTEGER ]
desert :
Name [ TEXT ] primary_key
Area [ REAL ]
Longitude [ REAL ]
Latitude [ REAL ]
economy :
Country [ TEXT ] primary_key
GDP [ REAL ]
Agriculture [ REAL ]
Service [ REAL ]
Industry [ REAL ]
Inflation [ REAL ]
encompasses :
Country [ TEXT ]
Continent [ TEXT ]
Percentage [ REAL ]
ethnicGroup :
Country [ TEXT ]
Name [ TEXT ]
Percentage [ REAL ]
geo_desert :
Desert [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_estuary :
River [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_island :
Island [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_lake :
Lake [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_mountain :
Mountain [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_river :
River [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_sea :
Sea [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_source :
River [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
island :
Name [ TEXT ] primary_key
Islands [ TEXT ]
Area [ REAL ]
Height [ REAL ]
Type [ TEXT ]
Longitude [ REAL ]
Latitude [ REAL ]
islandIn :
Island [ TEXT ]
Sea [ TEXT ]
Lake [ TEXT ]
River [ TEXT ]
isMember :
Country [ TEXT ]
Organization [ TEXT ]
Type [ TEXT ]
lake :
Name [ TEXT ] primary_key
Area [ REAL ]
Depth [ REAL ]
Altitude [ REAL ]
Type [ TEXT ]
River [ TEXT ]
Longitude [ REAL ]
Latitude [ REAL ]
language :
Country [ TEXT ]
Name [ TEXT ]
Percentage [ REAL ]
located :
City [ TEXT ]
Province [ TEXT ]
Country [ TEXT ]
River [ TEXT ]
Lake [ TEXT ]
Sea [ TEXT ]
locatedOn :
City [ TEXT ]
Province [ TEXT ]
Country [ TEXT ]
Island [ TEXT ]
mergesWith :
Sea1 [ TEXT ]
Sea2 [ TEXT ]
mountain :
Name [ TEXT ] primary_key
Mountains [ TEXT ]
Height [ REAL ]
Type [ TEXT ]
Longitude [ REAL ]
Latitude [ REAL ]
mountainOnIsland :
Mountain [ TEXT ]
Island [ TEXT ]
organization :
Abbreviation [ TEXT ] primary_key
Name [ TEXT ]
City [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
Established [ DATE ]
politics :
Country [ TEXT ] primary_key
Independence [ DATE ]
Dependent [ TEXT ]
Government [ TEXT ]
population :
Country [ TEXT ] primary_key
Population_Growth [ REAL ]
Infant_Mortality [ REAL ]
province :
Name [ TEXT ]
Country [ TEXT ]
Population [ INTEGER ]
Area [ REAL ]
Capital [ TEXT ]
CapProv [ TEXT ]
religion :
Country [ TEXT ]
Name [ TEXT ]
Percentage [ REAL ]
river :
Name [ TEXT ] primary_key
River [ TEXT ]
Lake [ TEXT ]
Sea [ TEXT ]
Length [ REAL ]
SourceLongitude [ REAL ]
SourceLatitude [ REAL ]
Mountains [ TEXT ]
SourceAltitude [ REAL ]
EstuaryLongitude [ REAL ]
EstuaryLatitude [ REAL ]
sea :
Name [ TEXT ] primary_key
Depth [ REAL ]
target :
Country [ TEXT ] primary_key
Target [ TEXT ]
Please write me a SQL statement that answers the following question: Find the GPD for Bosnia and Herzegovina and the type of government it belongs to. [/INST] | SELECT T1.GDP, T2.Government FROM economy AS T1 INNER JOIN politics AS T2 ON T1.Country = T2.Country INNER JOIN country AS T3 ON T3.Code = T2.Country WHERE T3.Name = 'Bosnia and Herzegovina'; |
[INST] Here is a database schema:
borders :
Country1 [ TEXT ]
Country2 [ TEXT ]
Length [ REAL ]
city :
Name [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
Population [ INTEGER ]
Longitude [ REAL ]
Latitude [ REAL ]
continent :
Name [ TEXT ] primary_key
Area [ REAL ]
country :
Name [ TEXT ]
Code [ TEXT ] primary_key
Capital [ TEXT ]
Province [ TEXT ]
Area [ REAL ]
Population [ INTEGER ]
desert :
Name [ TEXT ] primary_key
Area [ REAL ]
Longitude [ REAL ]
Latitude [ REAL ]
economy :
Country [ TEXT ] primary_key
GDP [ REAL ]
Agriculture [ REAL ]
Service [ REAL ]
Industry [ REAL ]
Inflation [ REAL ]
encompasses :
Country [ TEXT ]
Continent [ TEXT ]
Percentage [ REAL ]
ethnicGroup :
Country [ TEXT ]
Name [ TEXT ]
Percentage [ REAL ]
geo_desert :
Desert [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_estuary :
River [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_island :
Island [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_lake :
Lake [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_mountain :
Mountain [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_river :
River [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_sea :
Sea [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_source :
River [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
island :
Name [ TEXT ] primary_key
Islands [ TEXT ]
Area [ REAL ]
Height [ REAL ]
Type [ TEXT ]
Longitude [ REAL ]
Latitude [ REAL ]
islandIn :
Island [ TEXT ]
Sea [ TEXT ]
Lake [ TEXT ]
River [ TEXT ]
isMember :
Country [ TEXT ]
Organization [ TEXT ]
Type [ TEXT ]
lake :
Name [ TEXT ] primary_key
Area [ REAL ]
Depth [ REAL ]
Altitude [ REAL ]
Type [ TEXT ]
River [ TEXT ]
Longitude [ REAL ]
Latitude [ REAL ]
language :
Country [ TEXT ]
Name [ TEXT ]
Percentage [ REAL ]
located :
City [ TEXT ]
Province [ TEXT ]
Country [ TEXT ]
River [ TEXT ]
Lake [ TEXT ]
Sea [ TEXT ]
locatedOn :
City [ TEXT ]
Province [ TEXT ]
Country [ TEXT ]
Island [ TEXT ]
mergesWith :
Sea1 [ TEXT ]
Sea2 [ TEXT ]
mountain :
Name [ TEXT ] primary_key
Mountains [ TEXT ]
Height [ REAL ]
Type [ TEXT ]
Longitude [ REAL ]
Latitude [ REAL ]
mountainOnIsland :
Mountain [ TEXT ]
Island [ TEXT ]
organization :
Abbreviation [ TEXT ] primary_key
Name [ TEXT ]
City [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
Established [ DATE ]
politics :
Country [ TEXT ] primary_key
Independence [ DATE ]
Dependent [ TEXT ]
Government [ TEXT ]
population :
Country [ TEXT ] primary_key
Population_Growth [ REAL ]
Infant_Mortality [ REAL ]
province :
Name [ TEXT ]
Country [ TEXT ]
Population [ INTEGER ]
Area [ REAL ]
Capital [ TEXT ]
CapProv [ TEXT ]
religion :
Country [ TEXT ]
Name [ TEXT ]
Percentage [ REAL ]
river :
Name [ TEXT ] primary_key
River [ TEXT ]
Lake [ TEXT ]
Sea [ TEXT ]
Length [ REAL ]
SourceLongitude [ REAL ]
SourceLatitude [ REAL ]
Mountains [ TEXT ]
SourceAltitude [ REAL ]
EstuaryLongitude [ REAL ]
EstuaryLatitude [ REAL ]
sea :
Name [ TEXT ] primary_key
Depth [ REAL ]
target :
Country [ TEXT ] primary_key
Target [ TEXT ]
Please write me a SQL statement that answers the following question: State the country and its population with population growth greater than 2% but infant mortality rate less than 5%. [/INST] | SELECT T1.Name, T1.Population FROM country AS T1 INNER JOIN population AS T2 ON T1.Code = T2.Country WHERE T2.Population_Growth > 2 AND T2.Infant_Mortality < 5; |
[INST] Here is a database schema:
borders :
Country1 [ TEXT ]
Country2 [ TEXT ]
Length [ REAL ]
city :
Name [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
Population [ INTEGER ]
Longitude [ REAL ]
Latitude [ REAL ]
continent :
Name [ TEXT ] primary_key
Area [ REAL ]
country :
Name [ TEXT ]
Code [ TEXT ] primary_key
Capital [ TEXT ]
Province [ TEXT ]
Area [ REAL ]
Population [ INTEGER ]
desert :
Name [ TEXT ] primary_key
Area [ REAL ]
Longitude [ REAL ]
Latitude [ REAL ]
economy :
Country [ TEXT ] primary_key
GDP [ REAL ]
Agriculture [ REAL ]
Service [ REAL ]
Industry [ REAL ]
Inflation [ REAL ]
encompasses :
Country [ TEXT ]
Continent [ TEXT ]
Percentage [ REAL ]
ethnicGroup :
Country [ TEXT ]
Name [ TEXT ]
Percentage [ REAL ]
geo_desert :
Desert [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_estuary :
River [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_island :
Island [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_lake :
Lake [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_mountain :
Mountain [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_river :
River [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_sea :
Sea [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_source :
River [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
island :
Name [ TEXT ] primary_key
Islands [ TEXT ]
Area [ REAL ]
Height [ REAL ]
Type [ TEXT ]
Longitude [ REAL ]
Latitude [ REAL ]
islandIn :
Island [ TEXT ]
Sea [ TEXT ]
Lake [ TEXT ]
River [ TEXT ]
isMember :
Country [ TEXT ]
Organization [ TEXT ]
Type [ TEXT ]
lake :
Name [ TEXT ] primary_key
Area [ REAL ]
Depth [ REAL ]
Altitude [ REAL ]
Type [ TEXT ]
River [ TEXT ]
Longitude [ REAL ]
Latitude [ REAL ]
language :
Country [ TEXT ]
Name [ TEXT ]
Percentage [ REAL ]
located :
City [ TEXT ]
Province [ TEXT ]
Country [ TEXT ]
River [ TEXT ]
Lake [ TEXT ]
Sea [ TEXT ]
locatedOn :
City [ TEXT ]
Province [ TEXT ]
Country [ TEXT ]
Island [ TEXT ]
mergesWith :
Sea1 [ TEXT ]
Sea2 [ TEXT ]
mountain :
Name [ TEXT ] primary_key
Mountains [ TEXT ]
Height [ REAL ]
Type [ TEXT ]
Longitude [ REAL ]
Latitude [ REAL ]
mountainOnIsland :
Mountain [ TEXT ]
Island [ TEXT ]
organization :
Abbreviation [ TEXT ] primary_key
Name [ TEXT ]
City [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
Established [ DATE ]
politics :
Country [ TEXT ] primary_key
Independence [ DATE ]
Dependent [ TEXT ]
Government [ TEXT ]
population :
Country [ TEXT ] primary_key
Population_Growth [ REAL ]
Infant_Mortality [ REAL ]
province :
Name [ TEXT ]
Country [ TEXT ]
Population [ INTEGER ]
Area [ REAL ]
Capital [ TEXT ]
CapProv [ TEXT ]
religion :
Country [ TEXT ]
Name [ TEXT ]
Percentage [ REAL ]
river :
Name [ TEXT ] primary_key
River [ TEXT ]
Lake [ TEXT ]
Sea [ TEXT ]
Length [ REAL ]
SourceLongitude [ REAL ]
SourceLatitude [ REAL ]
Mountains [ TEXT ]
SourceAltitude [ REAL ]
EstuaryLongitude [ REAL ]
EstuaryLatitude [ REAL ]
sea :
Name [ TEXT ] primary_key
Depth [ REAL ]
target :
Country [ TEXT ] primary_key
Target [ TEXT ]
Please write me a SQL statement that answers the following question: Which is the majority of the ethnic group in country with great than 10,000,000 population [/INST] | SELECT T2.Name FROM country AS T1 INNER JOIN ethnicGroup AS T2 ON T1.Code = T2.Country WHERE T1.Population > 10000000 GROUP BY T2.Name, T2.Percentage ORDER BY T2.Percentage DESC LIMIT 2; |
[INST] Here is a database schema:
borders :
Country1 [ TEXT ]
Country2 [ TEXT ]
Length [ REAL ]
city :
Name [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
Population [ INTEGER ]
Longitude [ REAL ]
Latitude [ REAL ]
continent :
Name [ TEXT ] primary_key
Area [ REAL ]
country :
Name [ TEXT ]
Code [ TEXT ] primary_key
Capital [ TEXT ]
Province [ TEXT ]
Area [ REAL ]
Population [ INTEGER ]
desert :
Name [ TEXT ] primary_key
Area [ REAL ]
Longitude [ REAL ]
Latitude [ REAL ]
economy :
Country [ TEXT ] primary_key
GDP [ REAL ]
Agriculture [ REAL ]
Service [ REAL ]
Industry [ REAL ]
Inflation [ REAL ]
encompasses :
Country [ TEXT ]
Continent [ TEXT ]
Percentage [ REAL ]
ethnicGroup :
Country [ TEXT ]
Name [ TEXT ]
Percentage [ REAL ]
geo_desert :
Desert [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_estuary :
River [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_island :
Island [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_lake :
Lake [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_mountain :
Mountain [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_river :
River [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_sea :
Sea [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_source :
River [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
island :
Name [ TEXT ] primary_key
Islands [ TEXT ]
Area [ REAL ]
Height [ REAL ]
Type [ TEXT ]
Longitude [ REAL ]
Latitude [ REAL ]
islandIn :
Island [ TEXT ]
Sea [ TEXT ]
Lake [ TEXT ]
River [ TEXT ]
isMember :
Country [ TEXT ]
Organization [ TEXT ]
Type [ TEXT ]
lake :
Name [ TEXT ] primary_key
Area [ REAL ]
Depth [ REAL ]
Altitude [ REAL ]
Type [ TEXT ]
River [ TEXT ]
Longitude [ REAL ]
Latitude [ REAL ]
language :
Country [ TEXT ]
Name [ TEXT ]
Percentage [ REAL ]
located :
City [ TEXT ]
Province [ TEXT ]
Country [ TEXT ]
River [ TEXT ]
Lake [ TEXT ]
Sea [ TEXT ]
locatedOn :
City [ TEXT ]
Province [ TEXT ]
Country [ TEXT ]
Island [ TEXT ]
mergesWith :
Sea1 [ TEXT ]
Sea2 [ TEXT ]
mountain :
Name [ TEXT ] primary_key
Mountains [ TEXT ]
Height [ REAL ]
Type [ TEXT ]
Longitude [ REAL ]
Latitude [ REAL ]
mountainOnIsland :
Mountain [ TEXT ]
Island [ TEXT ]
organization :
Abbreviation [ TEXT ] primary_key
Name [ TEXT ]
City [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
Established [ DATE ]
politics :
Country [ TEXT ] primary_key
Independence [ DATE ]
Dependent [ TEXT ]
Government [ TEXT ]
population :
Country [ TEXT ] primary_key
Population_Growth [ REAL ]
Infant_Mortality [ REAL ]
province :
Name [ TEXT ]
Country [ TEXT ]
Population [ INTEGER ]
Area [ REAL ]
Capital [ TEXT ]
CapProv [ TEXT ]
religion :
Country [ TEXT ]
Name [ TEXT ]
Percentage [ REAL ]
river :
Name [ TEXT ] primary_key
River [ TEXT ]
Lake [ TEXT ]
Sea [ TEXT ]
Length [ REAL ]
SourceLongitude [ REAL ]
SourceLatitude [ REAL ]
Mountains [ TEXT ]
SourceAltitude [ REAL ]
EstuaryLongitude [ REAL ]
EstuaryLatitude [ REAL ]
sea :
Name [ TEXT ] primary_key
Depth [ REAL ]
target :
Country [ TEXT ] primary_key
Target [ TEXT ]
Please write me a SQL statement that answers the following question: Provide the country with its full name which has the most ethnic group? List them all ethnic group together with its percentage. [/INST] | SELECT T1.Name, T2.Name, T2.Percentage FROM country AS T1 INNER JOIN ethnicGroup AS T2 ON T1.Code = T2.Country WHERE T1.Name = ( SELECT T1.Name FROM country AS T1 INNER JOIN ethnicGroup AS T2 ON T1.Code = T2.Country GROUP BY T1.Name ORDER BY COUNT(T2.Name) DESC LIMIT 1 ) GROUP BY T1.Name, T2.Name, T2.Percentage; |
[INST] Here is a database schema:
borders :
Country1 [ TEXT ]
Country2 [ TEXT ]
Length [ REAL ]
city :
Name [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
Population [ INTEGER ]
Longitude [ REAL ]
Latitude [ REAL ]
continent :
Name [ TEXT ] primary_key
Area [ REAL ]
country :
Name [ TEXT ]
Code [ TEXT ] primary_key
Capital [ TEXT ]
Province [ TEXT ]
Area [ REAL ]
Population [ INTEGER ]
desert :
Name [ TEXT ] primary_key
Area [ REAL ]
Longitude [ REAL ]
Latitude [ REAL ]
economy :
Country [ TEXT ] primary_key
GDP [ REAL ]
Agriculture [ REAL ]
Service [ REAL ]
Industry [ REAL ]
Inflation [ REAL ]
encompasses :
Country [ TEXT ]
Continent [ TEXT ]
Percentage [ REAL ]
ethnicGroup :
Country [ TEXT ]
Name [ TEXT ]
Percentage [ REAL ]
geo_desert :
Desert [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_estuary :
River [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_island :
Island [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_lake :
Lake [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_mountain :
Mountain [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_river :
River [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_sea :
Sea [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_source :
River [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
island :
Name [ TEXT ] primary_key
Islands [ TEXT ]
Area [ REAL ]
Height [ REAL ]
Type [ TEXT ]
Longitude [ REAL ]
Latitude [ REAL ]
islandIn :
Island [ TEXT ]
Sea [ TEXT ]
Lake [ TEXT ]
River [ TEXT ]
isMember :
Country [ TEXT ]
Organization [ TEXT ]
Type [ TEXT ]
lake :
Name [ TEXT ] primary_key
Area [ REAL ]
Depth [ REAL ]
Altitude [ REAL ]
Type [ TEXT ]
River [ TEXT ]
Longitude [ REAL ]
Latitude [ REAL ]
language :
Country [ TEXT ]
Name [ TEXT ]
Percentage [ REAL ]
located :
City [ TEXT ]
Province [ TEXT ]
Country [ TEXT ]
River [ TEXT ]
Lake [ TEXT ]
Sea [ TEXT ]
locatedOn :
City [ TEXT ]
Province [ TEXT ]
Country [ TEXT ]
Island [ TEXT ]
mergesWith :
Sea1 [ TEXT ]
Sea2 [ TEXT ]
mountain :
Name [ TEXT ] primary_key
Mountains [ TEXT ]
Height [ REAL ]
Type [ TEXT ]
Longitude [ REAL ]
Latitude [ REAL ]
mountainOnIsland :
Mountain [ TEXT ]
Island [ TEXT ]
organization :
Abbreviation [ TEXT ] primary_key
Name [ TEXT ]
City [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
Established [ DATE ]
politics :
Country [ TEXT ] primary_key
Independence [ DATE ]
Dependent [ TEXT ]
Government [ TEXT ]
population :
Country [ TEXT ] primary_key
Population_Growth [ REAL ]
Infant_Mortality [ REAL ]
province :
Name [ TEXT ]
Country [ TEXT ]
Population [ INTEGER ]
Area [ REAL ]
Capital [ TEXT ]
CapProv [ TEXT ]
religion :
Country [ TEXT ]
Name [ TEXT ]
Percentage [ REAL ]
river :
Name [ TEXT ] primary_key
River [ TEXT ]
Lake [ TEXT ]
Sea [ TEXT ]
Length [ REAL ]
SourceLongitude [ REAL ]
SourceLatitude [ REAL ]
Mountains [ TEXT ]
SourceAltitude [ REAL ]
EstuaryLongitude [ REAL ]
EstuaryLatitude [ REAL ]
sea :
Name [ TEXT ] primary_key
Depth [ REAL ]
target :
Country [ TEXT ] primary_key
Target [ TEXT ]
Please write me a SQL statement that answers the following question: What is the full name of the country with 100% Africans? [/INST] | SELECT T1.Name FROM ethnicGroup AS T1 INNER JOIN country AS T2 ON T1.Country = T2.Code WHERE T1.Percentage = 100 AND T1.Name = 'African'; |
[INST] Here is a database schema:
borders :
Country1 [ TEXT ]
Country2 [ TEXT ]
Length [ REAL ]
city :
Name [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
Population [ INTEGER ]
Longitude [ REAL ]
Latitude [ REAL ]
continent :
Name [ TEXT ] primary_key
Area [ REAL ]
country :
Name [ TEXT ]
Code [ TEXT ] primary_key
Capital [ TEXT ]
Province [ TEXT ]
Area [ REAL ]
Population [ INTEGER ]
desert :
Name [ TEXT ] primary_key
Area [ REAL ]
Longitude [ REAL ]
Latitude [ REAL ]
economy :
Country [ TEXT ] primary_key
GDP [ REAL ]
Agriculture [ REAL ]
Service [ REAL ]
Industry [ REAL ]
Inflation [ REAL ]
encompasses :
Country [ TEXT ]
Continent [ TEXT ]
Percentage [ REAL ]
ethnicGroup :
Country [ TEXT ]
Name [ TEXT ]
Percentage [ REAL ]
geo_desert :
Desert [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_estuary :
River [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_island :
Island [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_lake :
Lake [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_mountain :
Mountain [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_river :
River [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_sea :
Sea [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_source :
River [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
island :
Name [ TEXT ] primary_key
Islands [ TEXT ]
Area [ REAL ]
Height [ REAL ]
Type [ TEXT ]
Longitude [ REAL ]
Latitude [ REAL ]
islandIn :
Island [ TEXT ]
Sea [ TEXT ]
Lake [ TEXT ]
River [ TEXT ]
isMember :
Country [ TEXT ]
Organization [ TEXT ]
Type [ TEXT ]
lake :
Name [ TEXT ] primary_key
Area [ REAL ]
Depth [ REAL ]
Altitude [ REAL ]
Type [ TEXT ]
River [ TEXT ]
Longitude [ REAL ]
Latitude [ REAL ]
language :
Country [ TEXT ]
Name [ TEXT ]
Percentage [ REAL ]
located :
City [ TEXT ]
Province [ TEXT ]
Country [ TEXT ]
River [ TEXT ]
Lake [ TEXT ]
Sea [ TEXT ]
locatedOn :
City [ TEXT ]
Province [ TEXT ]
Country [ TEXT ]
Island [ TEXT ]
mergesWith :
Sea1 [ TEXT ]
Sea2 [ TEXT ]
mountain :
Name [ TEXT ] primary_key
Mountains [ TEXT ]
Height [ REAL ]
Type [ TEXT ]
Longitude [ REAL ]
Latitude [ REAL ]
mountainOnIsland :
Mountain [ TEXT ]
Island [ TEXT ]
organization :
Abbreviation [ TEXT ] primary_key
Name [ TEXT ]
City [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
Established [ DATE ]
politics :
Country [ TEXT ] primary_key
Independence [ DATE ]
Dependent [ TEXT ]
Government [ TEXT ]
population :
Country [ TEXT ] primary_key
Population_Growth [ REAL ]
Infant_Mortality [ REAL ]
province :
Name [ TEXT ]
Country [ TEXT ]
Population [ INTEGER ]
Area [ REAL ]
Capital [ TEXT ]
CapProv [ TEXT ]
religion :
Country [ TEXT ]
Name [ TEXT ]
Percentage [ REAL ]
river :
Name [ TEXT ] primary_key
River [ TEXT ]
Lake [ TEXT ]
Sea [ TEXT ]
Length [ REAL ]
SourceLongitude [ REAL ]
SourceLatitude [ REAL ]
Mountains [ TEXT ]
SourceAltitude [ REAL ]
EstuaryLongitude [ REAL ]
EstuaryLatitude [ REAL ]
sea :
Name [ TEXT ] primary_key
Depth [ REAL ]
target :
Country [ TEXT ] primary_key
Target [ TEXT ]
Please write me a SQL statement that answers the following question: List the infant mortality of country with the least Amerindian. [/INST] | SELECT T1.Infant_Mortality FROM population AS T1 INNER JOIN ethnicGroup AS T2 ON T1.Country = T2.Country WHERE T2.Name = 'Amerindian' ORDER BY T2.Percentage ASC LIMIT 1; |
[INST] Here is a database schema:
borders :
Country1 [ TEXT ]
Country2 [ TEXT ]
Length [ REAL ]
city :
Name [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
Population [ INTEGER ]
Longitude [ REAL ]
Latitude [ REAL ]
continent :
Name [ TEXT ] primary_key
Area [ REAL ]
country :
Name [ TEXT ]
Code [ TEXT ] primary_key
Capital [ TEXT ]
Province [ TEXT ]
Area [ REAL ]
Population [ INTEGER ]
desert :
Name [ TEXT ] primary_key
Area [ REAL ]
Longitude [ REAL ]
Latitude [ REAL ]
economy :
Country [ TEXT ] primary_key
GDP [ REAL ]
Agriculture [ REAL ]
Service [ REAL ]
Industry [ REAL ]
Inflation [ REAL ]
encompasses :
Country [ TEXT ]
Continent [ TEXT ]
Percentage [ REAL ]
ethnicGroup :
Country [ TEXT ]
Name [ TEXT ]
Percentage [ REAL ]
geo_desert :
Desert [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_estuary :
River [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_island :
Island [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_lake :
Lake [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_mountain :
Mountain [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_river :
River [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_sea :
Sea [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_source :
River [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
island :
Name [ TEXT ] primary_key
Islands [ TEXT ]
Area [ REAL ]
Height [ REAL ]
Type [ TEXT ]
Longitude [ REAL ]
Latitude [ REAL ]
islandIn :
Island [ TEXT ]
Sea [ TEXT ]
Lake [ TEXT ]
River [ TEXT ]
isMember :
Country [ TEXT ]
Organization [ TEXT ]
Type [ TEXT ]
lake :
Name [ TEXT ] primary_key
Area [ REAL ]
Depth [ REAL ]
Altitude [ REAL ]
Type [ TEXT ]
River [ TEXT ]
Longitude [ REAL ]
Latitude [ REAL ]
language :
Country [ TEXT ]
Name [ TEXT ]
Percentage [ REAL ]
located :
City [ TEXT ]
Province [ TEXT ]
Country [ TEXT ]
River [ TEXT ]
Lake [ TEXT ]
Sea [ TEXT ]
locatedOn :
City [ TEXT ]
Province [ TEXT ]
Country [ TEXT ]
Island [ TEXT ]
mergesWith :
Sea1 [ TEXT ]
Sea2 [ TEXT ]
mountain :
Name [ TEXT ] primary_key
Mountains [ TEXT ]
Height [ REAL ]
Type [ TEXT ]
Longitude [ REAL ]
Latitude [ REAL ]
mountainOnIsland :
Mountain [ TEXT ]
Island [ TEXT ]
organization :
Abbreviation [ TEXT ] primary_key
Name [ TEXT ]
City [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
Established [ DATE ]
politics :
Country [ TEXT ] primary_key
Independence [ DATE ]
Dependent [ TEXT ]
Government [ TEXT ]
population :
Country [ TEXT ] primary_key
Population_Growth [ REAL ]
Infant_Mortality [ REAL ]
province :
Name [ TEXT ]
Country [ TEXT ]
Population [ INTEGER ]
Area [ REAL ]
Capital [ TEXT ]
CapProv [ TEXT ]
religion :
Country [ TEXT ]
Name [ TEXT ]
Percentage [ REAL ]
river :
Name [ TEXT ] primary_key
River [ TEXT ]
Lake [ TEXT ]
Sea [ TEXT ]
Length [ REAL ]
SourceLongitude [ REAL ]
SourceLatitude [ REAL ]
Mountains [ TEXT ]
SourceAltitude [ REAL ]
EstuaryLongitude [ REAL ]
EstuaryLatitude [ REAL ]
sea :
Name [ TEXT ] primary_key
Depth [ REAL ]
target :
Country [ TEXT ] primary_key
Target [ TEXT ]
Please write me a SQL statement that answers the following question: For country with area greater than 600000, what is agriculture percentage of GDP the country contributes? [/INST] | SELECT T2.Agriculture FROM country AS T1 INNER JOIN economy AS T2 ON T1.Code = T2.Country WHERE T1.Area > 600000 AND T2.Agriculture IS NOT NULL; |
[INST] Here is a database schema:
borders :
Country1 [ TEXT ]
Country2 [ TEXT ]
Length [ REAL ]
city :
Name [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
Population [ INTEGER ]
Longitude [ REAL ]
Latitude [ REAL ]
continent :
Name [ TEXT ] primary_key
Area [ REAL ]
country :
Name [ TEXT ]
Code [ TEXT ] primary_key
Capital [ TEXT ]
Province [ TEXT ]
Area [ REAL ]
Population [ INTEGER ]
desert :
Name [ TEXT ] primary_key
Area [ REAL ]
Longitude [ REAL ]
Latitude [ REAL ]
economy :
Country [ TEXT ] primary_key
GDP [ REAL ]
Agriculture [ REAL ]
Service [ REAL ]
Industry [ REAL ]
Inflation [ REAL ]
encompasses :
Country [ TEXT ]
Continent [ TEXT ]
Percentage [ REAL ]
ethnicGroup :
Country [ TEXT ]
Name [ TEXT ]
Percentage [ REAL ]
geo_desert :
Desert [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_estuary :
River [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_island :
Island [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_lake :
Lake [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_mountain :
Mountain [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_river :
River [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_sea :
Sea [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_source :
River [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
island :
Name [ TEXT ] primary_key
Islands [ TEXT ]
Area [ REAL ]
Height [ REAL ]
Type [ TEXT ]
Longitude [ REAL ]
Latitude [ REAL ]
islandIn :
Island [ TEXT ]
Sea [ TEXT ]
Lake [ TEXT ]
River [ TEXT ]
isMember :
Country [ TEXT ]
Organization [ TEXT ]
Type [ TEXT ]
lake :
Name [ TEXT ] primary_key
Area [ REAL ]
Depth [ REAL ]
Altitude [ REAL ]
Type [ TEXT ]
River [ TEXT ]
Longitude [ REAL ]
Latitude [ REAL ]
language :
Country [ TEXT ]
Name [ TEXT ]
Percentage [ REAL ]
located :
City [ TEXT ]
Province [ TEXT ]
Country [ TEXT ]
River [ TEXT ]
Lake [ TEXT ]
Sea [ TEXT ]
locatedOn :
City [ TEXT ]
Province [ TEXT ]
Country [ TEXT ]
Island [ TEXT ]
mergesWith :
Sea1 [ TEXT ]
Sea2 [ TEXT ]
mountain :
Name [ TEXT ] primary_key
Mountains [ TEXT ]
Height [ REAL ]
Type [ TEXT ]
Longitude [ REAL ]
Latitude [ REAL ]
mountainOnIsland :
Mountain [ TEXT ]
Island [ TEXT ]
organization :
Abbreviation [ TEXT ] primary_key
Name [ TEXT ]
City [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
Established [ DATE ]
politics :
Country [ TEXT ] primary_key
Independence [ DATE ]
Dependent [ TEXT ]
Government [ TEXT ]
population :
Country [ TEXT ] primary_key
Population_Growth [ REAL ]
Infant_Mortality [ REAL ]
province :
Name [ TEXT ]
Country [ TEXT ]
Population [ INTEGER ]
Area [ REAL ]
Capital [ TEXT ]
CapProv [ TEXT ]
religion :
Country [ TEXT ]
Name [ TEXT ]
Percentage [ REAL ]
river :
Name [ TEXT ] primary_key
River [ TEXT ]
Lake [ TEXT ]
Sea [ TEXT ]
Length [ REAL ]
SourceLongitude [ REAL ]
SourceLatitude [ REAL ]
Mountains [ TEXT ]
SourceAltitude [ REAL ]
EstuaryLongitude [ REAL ]
EstuaryLatitude [ REAL ]
sea :
Name [ TEXT ] primary_key
Depth [ REAL ]
target :
Country [ TEXT ] primary_key
Target [ TEXT ]
Please write me a SQL statement that answers the following question: Provide the country with republic government which has the highest population growth? [/INST] | SELECT T2.Country FROM population AS T1 INNER JOIN politics AS T2 ON T1.Country = T2.Country WHERE T2.Government = 'republic' ORDER BY T1.Population_Growth DESC LIMIT 1; |
[INST] Here is a database schema:
borders :
Country1 [ TEXT ]
Country2 [ TEXT ]
Length [ REAL ]
city :
Name [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
Population [ INTEGER ]
Longitude [ REAL ]
Latitude [ REAL ]
continent :
Name [ TEXT ] primary_key
Area [ REAL ]
country :
Name [ TEXT ]
Code [ TEXT ] primary_key
Capital [ TEXT ]
Province [ TEXT ]
Area [ REAL ]
Population [ INTEGER ]
desert :
Name [ TEXT ] primary_key
Area [ REAL ]
Longitude [ REAL ]
Latitude [ REAL ]
economy :
Country [ TEXT ] primary_key
GDP [ REAL ]
Agriculture [ REAL ]
Service [ REAL ]
Industry [ REAL ]
Inflation [ REAL ]
encompasses :
Country [ TEXT ]
Continent [ TEXT ]
Percentage [ REAL ]
ethnicGroup :
Country [ TEXT ]
Name [ TEXT ]
Percentage [ REAL ]
geo_desert :
Desert [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_estuary :
River [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_island :
Island [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_lake :
Lake [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_mountain :
Mountain [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_river :
River [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_sea :
Sea [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_source :
River [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
island :
Name [ TEXT ] primary_key
Islands [ TEXT ]
Area [ REAL ]
Height [ REAL ]
Type [ TEXT ]
Longitude [ REAL ]
Latitude [ REAL ]
islandIn :
Island [ TEXT ]
Sea [ TEXT ]
Lake [ TEXT ]
River [ TEXT ]
isMember :
Country [ TEXT ]
Organization [ TEXT ]
Type [ TEXT ]
lake :
Name [ TEXT ] primary_key
Area [ REAL ]
Depth [ REAL ]
Altitude [ REAL ]
Type [ TEXT ]
River [ TEXT ]
Longitude [ REAL ]
Latitude [ REAL ]
language :
Country [ TEXT ]
Name [ TEXT ]
Percentage [ REAL ]
located :
City [ TEXT ]
Province [ TEXT ]
Country [ TEXT ]
River [ TEXT ]
Lake [ TEXT ]
Sea [ TEXT ]
locatedOn :
City [ TEXT ]
Province [ TEXT ]
Country [ TEXT ]
Island [ TEXT ]
mergesWith :
Sea1 [ TEXT ]
Sea2 [ TEXT ]
mountain :
Name [ TEXT ] primary_key
Mountains [ TEXT ]
Height [ REAL ]
Type [ TEXT ]
Longitude [ REAL ]
Latitude [ REAL ]
mountainOnIsland :
Mountain [ TEXT ]
Island [ TEXT ]
organization :
Abbreviation [ TEXT ] primary_key
Name [ TEXT ]
City [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
Established [ DATE ]
politics :
Country [ TEXT ] primary_key
Independence [ DATE ]
Dependent [ TEXT ]
Government [ TEXT ]
population :
Country [ TEXT ] primary_key
Population_Growth [ REAL ]
Infant_Mortality [ REAL ]
province :
Name [ TEXT ]
Country [ TEXT ]
Population [ INTEGER ]
Area [ REAL ]
Capital [ TEXT ]
CapProv [ TEXT ]
religion :
Country [ TEXT ]
Name [ TEXT ]
Percentage [ REAL ]
river :
Name [ TEXT ] primary_key
River [ TEXT ]
Lake [ TEXT ]
Sea [ TEXT ]
Length [ REAL ]
SourceLongitude [ REAL ]
SourceLatitude [ REAL ]
Mountains [ TEXT ]
SourceAltitude [ REAL ]
EstuaryLongitude [ REAL ]
EstuaryLatitude [ REAL ]
sea :
Name [ TEXT ] primary_key
Depth [ REAL ]
target :
Country [ TEXT ] primary_key
Target [ TEXT ]
Please write me a SQL statement that answers the following question: When did 'Bulgaria' gain independence? [/INST] | SELECT T2.Independence FROM country AS T1 INNER JOIN politics AS T2 ON T1.Code = T2.Country WHERE T1.Name = 'Bulgaria'; |
[INST] Here is a database schema:
borders :
Country1 [ TEXT ]
Country2 [ TEXT ]
Length [ REAL ]
city :
Name [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
Population [ INTEGER ]
Longitude [ REAL ]
Latitude [ REAL ]
continent :
Name [ TEXT ] primary_key
Area [ REAL ]
country :
Name [ TEXT ]
Code [ TEXT ] primary_key
Capital [ TEXT ]
Province [ TEXT ]
Area [ REAL ]
Population [ INTEGER ]
desert :
Name [ TEXT ] primary_key
Area [ REAL ]
Longitude [ REAL ]
Latitude [ REAL ]
economy :
Country [ TEXT ] primary_key
GDP [ REAL ]
Agriculture [ REAL ]
Service [ REAL ]
Industry [ REAL ]
Inflation [ REAL ]
encompasses :
Country [ TEXT ]
Continent [ TEXT ]
Percentage [ REAL ]
ethnicGroup :
Country [ TEXT ]
Name [ TEXT ]
Percentage [ REAL ]
geo_desert :
Desert [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_estuary :
River [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_island :
Island [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_lake :
Lake [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_mountain :
Mountain [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_river :
River [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_sea :
Sea [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_source :
River [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
island :
Name [ TEXT ] primary_key
Islands [ TEXT ]
Area [ REAL ]
Height [ REAL ]
Type [ TEXT ]
Longitude [ REAL ]
Latitude [ REAL ]
islandIn :
Island [ TEXT ]
Sea [ TEXT ]
Lake [ TEXT ]
River [ TEXT ]
isMember :
Country [ TEXT ]
Organization [ TEXT ]
Type [ TEXT ]
lake :
Name [ TEXT ] primary_key
Area [ REAL ]
Depth [ REAL ]
Altitude [ REAL ]
Type [ TEXT ]
River [ TEXT ]
Longitude [ REAL ]
Latitude [ REAL ]
language :
Country [ TEXT ]
Name [ TEXT ]
Percentage [ REAL ]
located :
City [ TEXT ]
Province [ TEXT ]
Country [ TEXT ]
River [ TEXT ]
Lake [ TEXT ]
Sea [ TEXT ]
locatedOn :
City [ TEXT ]
Province [ TEXT ]
Country [ TEXT ]
Island [ TEXT ]
mergesWith :
Sea1 [ TEXT ]
Sea2 [ TEXT ]
mountain :
Name [ TEXT ] primary_key
Mountains [ TEXT ]
Height [ REAL ]
Type [ TEXT ]
Longitude [ REAL ]
Latitude [ REAL ]
mountainOnIsland :
Mountain [ TEXT ]
Island [ TEXT ]
organization :
Abbreviation [ TEXT ] primary_key
Name [ TEXT ]
City [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
Established [ DATE ]
politics :
Country [ TEXT ] primary_key
Independence [ DATE ]
Dependent [ TEXT ]
Government [ TEXT ]
population :
Country [ TEXT ] primary_key
Population_Growth [ REAL ]
Infant_Mortality [ REAL ]
province :
Name [ TEXT ]
Country [ TEXT ]
Population [ INTEGER ]
Area [ REAL ]
Capital [ TEXT ]
CapProv [ TEXT ]
religion :
Country [ TEXT ]
Name [ TEXT ]
Percentage [ REAL ]
river :
Name [ TEXT ] primary_key
River [ TEXT ]
Lake [ TEXT ]
Sea [ TEXT ]
Length [ REAL ]
SourceLongitude [ REAL ]
SourceLatitude [ REAL ]
Mountains [ TEXT ]
SourceAltitude [ REAL ]
EstuaryLongitude [ REAL ]
EstuaryLatitude [ REAL ]
sea :
Name [ TEXT ] primary_key
Depth [ REAL ]
target :
Country [ TEXT ] primary_key
Target [ TEXT ]
Please write me a SQL statement that answers the following question: Calculate the population of Arab in each country? [/INST] | SELECT T2.Percentage * T1.Population FROM country AS T1 INNER JOIN ethnicGroup AS T2 ON T1.Code = T2.Country WHERE T2.Name = 'Arab'; |
[INST] Here is a database schema:
borders :
Country1 [ TEXT ]
Country2 [ TEXT ]
Length [ REAL ]
city :
Name [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
Population [ INTEGER ]
Longitude [ REAL ]
Latitude [ REAL ]
continent :
Name [ TEXT ] primary_key
Area [ REAL ]
country :
Name [ TEXT ]
Code [ TEXT ] primary_key
Capital [ TEXT ]
Province [ TEXT ]
Area [ REAL ]
Population [ INTEGER ]
desert :
Name [ TEXT ] primary_key
Area [ REAL ]
Longitude [ REAL ]
Latitude [ REAL ]
economy :
Country [ TEXT ] primary_key
GDP [ REAL ]
Agriculture [ REAL ]
Service [ REAL ]
Industry [ REAL ]
Inflation [ REAL ]
encompasses :
Country [ TEXT ]
Continent [ TEXT ]
Percentage [ REAL ]
ethnicGroup :
Country [ TEXT ]
Name [ TEXT ]
Percentage [ REAL ]
geo_desert :
Desert [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_estuary :
River [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_island :
Island [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_lake :
Lake [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_mountain :
Mountain [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_river :
River [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_sea :
Sea [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_source :
River [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
island :
Name [ TEXT ] primary_key
Islands [ TEXT ]
Area [ REAL ]
Height [ REAL ]
Type [ TEXT ]
Longitude [ REAL ]
Latitude [ REAL ]
islandIn :
Island [ TEXT ]
Sea [ TEXT ]
Lake [ TEXT ]
River [ TEXT ]
isMember :
Country [ TEXT ]
Organization [ TEXT ]
Type [ TEXT ]
lake :
Name [ TEXT ] primary_key
Area [ REAL ]
Depth [ REAL ]
Altitude [ REAL ]
Type [ TEXT ]
River [ TEXT ]
Longitude [ REAL ]
Latitude [ REAL ]
language :
Country [ TEXT ]
Name [ TEXT ]
Percentage [ REAL ]
located :
City [ TEXT ]
Province [ TEXT ]
Country [ TEXT ]
River [ TEXT ]
Lake [ TEXT ]
Sea [ TEXT ]
locatedOn :
City [ TEXT ]
Province [ TEXT ]
Country [ TEXT ]
Island [ TEXT ]
mergesWith :
Sea1 [ TEXT ]
Sea2 [ TEXT ]
mountain :
Name [ TEXT ] primary_key
Mountains [ TEXT ]
Height [ REAL ]
Type [ TEXT ]
Longitude [ REAL ]
Latitude [ REAL ]
mountainOnIsland :
Mountain [ TEXT ]
Island [ TEXT ]
organization :
Abbreviation [ TEXT ] primary_key
Name [ TEXT ]
City [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
Established [ DATE ]
politics :
Country [ TEXT ] primary_key
Independence [ DATE ]
Dependent [ TEXT ]
Government [ TEXT ]
population :
Country [ TEXT ] primary_key
Population_Growth [ REAL ]
Infant_Mortality [ REAL ]
province :
Name [ TEXT ]
Country [ TEXT ]
Population [ INTEGER ]
Area [ REAL ]
Capital [ TEXT ]
CapProv [ TEXT ]
religion :
Country [ TEXT ]
Name [ TEXT ]
Percentage [ REAL ]
river :
Name [ TEXT ] primary_key
River [ TEXT ]
Lake [ TEXT ]
Sea [ TEXT ]
Length [ REAL ]
SourceLongitude [ REAL ]
SourceLatitude [ REAL ]
Mountains [ TEXT ]
SourceAltitude [ REAL ]
EstuaryLongitude [ REAL ]
EstuaryLatitude [ REAL ]
sea :
Name [ TEXT ] primary_key
Depth [ REAL ]
target :
Country [ TEXT ] primary_key
Target [ TEXT ]
Please write me a SQL statement that answers the following question: What is the population of African in 'Turks and Caicos Islands'? [/INST] | SELECT T2.Percentage * T1.Population FROM country AS T1 INNER JOIN ethnicGroup AS T2 ON T1.Code = T2.Country WHERE T2.Name = 'African' AND T1.Name = 'Turks and Caicos Islands'; |
[INST] Here is a database schema:
borders :
Country1 [ TEXT ]
Country2 [ TEXT ]
Length [ REAL ]
city :
Name [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
Population [ INTEGER ]
Longitude [ REAL ]
Latitude [ REAL ]
continent :
Name [ TEXT ] primary_key
Area [ REAL ]
country :
Name [ TEXT ]
Code [ TEXT ] primary_key
Capital [ TEXT ]
Province [ TEXT ]
Area [ REAL ]
Population [ INTEGER ]
desert :
Name [ TEXT ] primary_key
Area [ REAL ]
Longitude [ REAL ]
Latitude [ REAL ]
economy :
Country [ TEXT ] primary_key
GDP [ REAL ]
Agriculture [ REAL ]
Service [ REAL ]
Industry [ REAL ]
Inflation [ REAL ]
encompasses :
Country [ TEXT ]
Continent [ TEXT ]
Percentage [ REAL ]
ethnicGroup :
Country [ TEXT ]
Name [ TEXT ]
Percentage [ REAL ]
geo_desert :
Desert [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_estuary :
River [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_island :
Island [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_lake :
Lake [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_mountain :
Mountain [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_river :
River [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_sea :
Sea [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_source :
River [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
island :
Name [ TEXT ] primary_key
Islands [ TEXT ]
Area [ REAL ]
Height [ REAL ]
Type [ TEXT ]
Longitude [ REAL ]
Latitude [ REAL ]
islandIn :
Island [ TEXT ]
Sea [ TEXT ]
Lake [ TEXT ]
River [ TEXT ]
isMember :
Country [ TEXT ]
Organization [ TEXT ]
Type [ TEXT ]
lake :
Name [ TEXT ] primary_key
Area [ REAL ]
Depth [ REAL ]
Altitude [ REAL ]
Type [ TEXT ]
River [ TEXT ]
Longitude [ REAL ]
Latitude [ REAL ]
language :
Country [ TEXT ]
Name [ TEXT ]
Percentage [ REAL ]
located :
City [ TEXT ]
Province [ TEXT ]
Country [ TEXT ]
River [ TEXT ]
Lake [ TEXT ]
Sea [ TEXT ]
locatedOn :
City [ TEXT ]
Province [ TEXT ]
Country [ TEXT ]
Island [ TEXT ]
mergesWith :
Sea1 [ TEXT ]
Sea2 [ TEXT ]
mountain :
Name [ TEXT ] primary_key
Mountains [ TEXT ]
Height [ REAL ]
Type [ TEXT ]
Longitude [ REAL ]
Latitude [ REAL ]
mountainOnIsland :
Mountain [ TEXT ]
Island [ TEXT ]
organization :
Abbreviation [ TEXT ] primary_key
Name [ TEXT ]
City [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
Established [ DATE ]
politics :
Country [ TEXT ] primary_key
Independence [ DATE ]
Dependent [ TEXT ]
Government [ TEXT ]
population :
Country [ TEXT ] primary_key
Population_Growth [ REAL ]
Infant_Mortality [ REAL ]
province :
Name [ TEXT ]
Country [ TEXT ]
Population [ INTEGER ]
Area [ REAL ]
Capital [ TEXT ]
CapProv [ TEXT ]
religion :
Country [ TEXT ]
Name [ TEXT ]
Percentage [ REAL ]
river :
Name [ TEXT ] primary_key
River [ TEXT ]
Lake [ TEXT ]
Sea [ TEXT ]
Length [ REAL ]
SourceLongitude [ REAL ]
SourceLatitude [ REAL ]
Mountains [ TEXT ]
SourceAltitude [ REAL ]
EstuaryLongitude [ REAL ]
EstuaryLatitude [ REAL ]
sea :
Name [ TEXT ] primary_key
Depth [ REAL ]
target :
Country [ TEXT ] primary_key
Target [ TEXT ]
Please write me a SQL statement that answers the following question: What is the number of growth population for country with the lowest infant mortality? [/INST] | SELECT T2.Population_Growth * T1.Population FROM country AS T1 INNER JOIN population AS T2 ON T1.Code = T2.Country WHERE T2.Infant_Mortality IS NOT NULL ORDER BY T2.Infant_Mortality ASC LIMIT 1; |
[INST] Here is a database schema:
borders :
Country1 [ TEXT ]
Country2 [ TEXT ]
Length [ REAL ]
city :
Name [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
Population [ INTEGER ]
Longitude [ REAL ]
Latitude [ REAL ]
continent :
Name [ TEXT ] primary_key
Area [ REAL ]
country :
Name [ TEXT ]
Code [ TEXT ] primary_key
Capital [ TEXT ]
Province [ TEXT ]
Area [ REAL ]
Population [ INTEGER ]
desert :
Name [ TEXT ] primary_key
Area [ REAL ]
Longitude [ REAL ]
Latitude [ REAL ]
economy :
Country [ TEXT ] primary_key
GDP [ REAL ]
Agriculture [ REAL ]
Service [ REAL ]
Industry [ REAL ]
Inflation [ REAL ]
encompasses :
Country [ TEXT ]
Continent [ TEXT ]
Percentage [ REAL ]
ethnicGroup :
Country [ TEXT ]
Name [ TEXT ]
Percentage [ REAL ]
geo_desert :
Desert [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_estuary :
River [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_island :
Island [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_lake :
Lake [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_mountain :
Mountain [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_river :
River [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_sea :
Sea [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_source :
River [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
island :
Name [ TEXT ] primary_key
Islands [ TEXT ]
Area [ REAL ]
Height [ REAL ]
Type [ TEXT ]
Longitude [ REAL ]
Latitude [ REAL ]
islandIn :
Island [ TEXT ]
Sea [ TEXT ]
Lake [ TEXT ]
River [ TEXT ]
isMember :
Country [ TEXT ]
Organization [ TEXT ]
Type [ TEXT ]
lake :
Name [ TEXT ] primary_key
Area [ REAL ]
Depth [ REAL ]
Altitude [ REAL ]
Type [ TEXT ]
River [ TEXT ]
Longitude [ REAL ]
Latitude [ REAL ]
language :
Country [ TEXT ]
Name [ TEXT ]
Percentage [ REAL ]
located :
City [ TEXT ]
Province [ TEXT ]
Country [ TEXT ]
River [ TEXT ]
Lake [ TEXT ]
Sea [ TEXT ]
locatedOn :
City [ TEXT ]
Province [ TEXT ]
Country [ TEXT ]
Island [ TEXT ]
mergesWith :
Sea1 [ TEXT ]
Sea2 [ TEXT ]
mountain :
Name [ TEXT ] primary_key
Mountains [ TEXT ]
Height [ REAL ]
Type [ TEXT ]
Longitude [ REAL ]
Latitude [ REAL ]
mountainOnIsland :
Mountain [ TEXT ]
Island [ TEXT ]
organization :
Abbreviation [ TEXT ] primary_key
Name [ TEXT ]
City [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
Established [ DATE ]
politics :
Country [ TEXT ] primary_key
Independence [ DATE ]
Dependent [ TEXT ]
Government [ TEXT ]
population :
Country [ TEXT ] primary_key
Population_Growth [ REAL ]
Infant_Mortality [ REAL ]
province :
Name [ TEXT ]
Country [ TEXT ]
Population [ INTEGER ]
Area [ REAL ]
Capital [ TEXT ]
CapProv [ TEXT ]
religion :
Country [ TEXT ]
Name [ TEXT ]
Percentage [ REAL ]
river :
Name [ TEXT ] primary_key
River [ TEXT ]
Lake [ TEXT ]
Sea [ TEXT ]
Length [ REAL ]
SourceLongitude [ REAL ]
SourceLatitude [ REAL ]
Mountains [ TEXT ]
SourceAltitude [ REAL ]
EstuaryLongitude [ REAL ]
EstuaryLatitude [ REAL ]
sea :
Name [ TEXT ] primary_key
Depth [ REAL ]
target :
Country [ TEXT ] primary_key
Target [ TEXT ]
Please write me a SQL statement that answers the following question: Among countries with more than 400,000 GDP, state its capital and population. [/INST] | SELECT T1.Capital, T1.Population FROM country AS T1 INNER JOIN economy AS T2 ON T1.Code = T2.Country WHERE T2.GDP > 400000; |
[INST] Here is a database schema:
borders :
Country1 [ TEXT ]
Country2 [ TEXT ]
Length [ REAL ]
city :
Name [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
Population [ INTEGER ]
Longitude [ REAL ]
Latitude [ REAL ]
continent :
Name [ TEXT ] primary_key
Area [ REAL ]
country :
Name [ TEXT ]
Code [ TEXT ] primary_key
Capital [ TEXT ]
Province [ TEXT ]
Area [ REAL ]
Population [ INTEGER ]
desert :
Name [ TEXT ] primary_key
Area [ REAL ]
Longitude [ REAL ]
Latitude [ REAL ]
economy :
Country [ TEXT ] primary_key
GDP [ REAL ]
Agriculture [ REAL ]
Service [ REAL ]
Industry [ REAL ]
Inflation [ REAL ]
encompasses :
Country [ TEXT ]
Continent [ TEXT ]
Percentage [ REAL ]
ethnicGroup :
Country [ TEXT ]
Name [ TEXT ]
Percentage [ REAL ]
geo_desert :
Desert [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_estuary :
River [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_island :
Island [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_lake :
Lake [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_mountain :
Mountain [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_river :
River [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_sea :
Sea [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_source :
River [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
island :
Name [ TEXT ] primary_key
Islands [ TEXT ]
Area [ REAL ]
Height [ REAL ]
Type [ TEXT ]
Longitude [ REAL ]
Latitude [ REAL ]
islandIn :
Island [ TEXT ]
Sea [ TEXT ]
Lake [ TEXT ]
River [ TEXT ]
isMember :
Country [ TEXT ]
Organization [ TEXT ]
Type [ TEXT ]
lake :
Name [ TEXT ] primary_key
Area [ REAL ]
Depth [ REAL ]
Altitude [ REAL ]
Type [ TEXT ]
River [ TEXT ]
Longitude [ REAL ]
Latitude [ REAL ]
language :
Country [ TEXT ]
Name [ TEXT ]
Percentage [ REAL ]
located :
City [ TEXT ]
Province [ TEXT ]
Country [ TEXT ]
River [ TEXT ]
Lake [ TEXT ]
Sea [ TEXT ]
locatedOn :
City [ TEXT ]
Province [ TEXT ]
Country [ TEXT ]
Island [ TEXT ]
mergesWith :
Sea1 [ TEXT ]
Sea2 [ TEXT ]
mountain :
Name [ TEXT ] primary_key
Mountains [ TEXT ]
Height [ REAL ]
Type [ TEXT ]
Longitude [ REAL ]
Latitude [ REAL ]
mountainOnIsland :
Mountain [ TEXT ]
Island [ TEXT ]
organization :
Abbreviation [ TEXT ] primary_key
Name [ TEXT ]
City [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
Established [ DATE ]
politics :
Country [ TEXT ] primary_key
Independence [ DATE ]
Dependent [ TEXT ]
Government [ TEXT ]
population :
Country [ TEXT ] primary_key
Population_Growth [ REAL ]
Infant_Mortality [ REAL ]
province :
Name [ TEXT ]
Country [ TEXT ]
Population [ INTEGER ]
Area [ REAL ]
Capital [ TEXT ]
CapProv [ TEXT ]
religion :
Country [ TEXT ]
Name [ TEXT ]
Percentage [ REAL ]
river :
Name [ TEXT ] primary_key
River [ TEXT ]
Lake [ TEXT ]
Sea [ TEXT ]
Length [ REAL ]
SourceLongitude [ REAL ]
SourceLatitude [ REAL ]
Mountains [ TEXT ]
SourceAltitude [ REAL ]
EstuaryLongitude [ REAL ]
EstuaryLatitude [ REAL ]
sea :
Name [ TEXT ] primary_key
Depth [ REAL ]
target :
Country [ TEXT ] primary_key
Target [ TEXT ]
Please write me a SQL statement that answers the following question: Calculate the service of GDP for Brazil. [/INST] | SELECT T2.Service * T2.GDP FROM country AS T1 INNER JOIN economy AS T2 ON T1.Code = T2.Country WHERE T1.Name = 'Brazil'; |
[INST] Here is a database schema:
borders :
Country1 [ TEXT ]
Country2 [ TEXT ]
Length [ REAL ]
city :
Name [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
Population [ INTEGER ]
Longitude [ REAL ]
Latitude [ REAL ]
continent :
Name [ TEXT ] primary_key
Area [ REAL ]
country :
Name [ TEXT ]
Code [ TEXT ] primary_key
Capital [ TEXT ]
Province [ TEXT ]
Area [ REAL ]
Population [ INTEGER ]
desert :
Name [ TEXT ] primary_key
Area [ REAL ]
Longitude [ REAL ]
Latitude [ REAL ]
economy :
Country [ TEXT ] primary_key
GDP [ REAL ]
Agriculture [ REAL ]
Service [ REAL ]
Industry [ REAL ]
Inflation [ REAL ]
encompasses :
Country [ TEXT ]
Continent [ TEXT ]
Percentage [ REAL ]
ethnicGroup :
Country [ TEXT ]
Name [ TEXT ]
Percentage [ REAL ]
geo_desert :
Desert [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_estuary :
River [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_island :
Island [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_lake :
Lake [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_mountain :
Mountain [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_river :
River [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_sea :
Sea [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_source :
River [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
island :
Name [ TEXT ] primary_key
Islands [ TEXT ]
Area [ REAL ]
Height [ REAL ]
Type [ TEXT ]
Longitude [ REAL ]
Latitude [ REAL ]
islandIn :
Island [ TEXT ]
Sea [ TEXT ]
Lake [ TEXT ]
River [ TEXT ]
isMember :
Country [ TEXT ]
Organization [ TEXT ]
Type [ TEXT ]
lake :
Name [ TEXT ] primary_key
Area [ REAL ]
Depth [ REAL ]
Altitude [ REAL ]
Type [ TEXT ]
River [ TEXT ]
Longitude [ REAL ]
Latitude [ REAL ]
language :
Country [ TEXT ]
Name [ TEXT ]
Percentage [ REAL ]
located :
City [ TEXT ]
Province [ TEXT ]
Country [ TEXT ]
River [ TEXT ]
Lake [ TEXT ]
Sea [ TEXT ]
locatedOn :
City [ TEXT ]
Province [ TEXT ]
Country [ TEXT ]
Island [ TEXT ]
mergesWith :
Sea1 [ TEXT ]
Sea2 [ TEXT ]
mountain :
Name [ TEXT ] primary_key
Mountains [ TEXT ]
Height [ REAL ]
Type [ TEXT ]
Longitude [ REAL ]
Latitude [ REAL ]
mountainOnIsland :
Mountain [ TEXT ]
Island [ TEXT ]
organization :
Abbreviation [ TEXT ] primary_key
Name [ TEXT ]
City [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
Established [ DATE ]
politics :
Country [ TEXT ] primary_key
Independence [ DATE ]
Dependent [ TEXT ]
Government [ TEXT ]
population :
Country [ TEXT ] primary_key
Population_Growth [ REAL ]
Infant_Mortality [ REAL ]
province :
Name [ TEXT ]
Country [ TEXT ]
Population [ INTEGER ]
Area [ REAL ]
Capital [ TEXT ]
CapProv [ TEXT ]
religion :
Country [ TEXT ]
Name [ TEXT ]
Percentage [ REAL ]
river :
Name [ TEXT ] primary_key
River [ TEXT ]
Lake [ TEXT ]
Sea [ TEXT ]
Length [ REAL ]
SourceLongitude [ REAL ]
SourceLatitude [ REAL ]
Mountains [ TEXT ]
SourceAltitude [ REAL ]
EstuaryLongitude [ REAL ]
EstuaryLatitude [ REAL ]
sea :
Name [ TEXT ] primary_key
Depth [ REAL ]
target :
Country [ TEXT ] primary_key
Target [ TEXT ]
Please write me a SQL statement that answers the following question: Which country has the highest infant mortality? Also state its population growth. [/INST] | SELECT T1.Name, T2.Population_Growth FROM country AS T1 INNER JOIN population AS T2 ON T1.Code = T2.Country ORDER BY T2.Infant_Mortality DESC LIMIT 1; |
[INST] Here is a database schema:
borders :
Country1 [ TEXT ]
Country2 [ TEXT ]
Length [ REAL ]
city :
Name [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
Population [ INTEGER ]
Longitude [ REAL ]
Latitude [ REAL ]
continent :
Name [ TEXT ] primary_key
Area [ REAL ]
country :
Name [ TEXT ]
Code [ TEXT ] primary_key
Capital [ TEXT ]
Province [ TEXT ]
Area [ REAL ]
Population [ INTEGER ]
desert :
Name [ TEXT ] primary_key
Area [ REAL ]
Longitude [ REAL ]
Latitude [ REAL ]
economy :
Country [ TEXT ] primary_key
GDP [ REAL ]
Agriculture [ REAL ]
Service [ REAL ]
Industry [ REAL ]
Inflation [ REAL ]
encompasses :
Country [ TEXT ]
Continent [ TEXT ]
Percentage [ REAL ]
ethnicGroup :
Country [ TEXT ]
Name [ TEXT ]
Percentage [ REAL ]
geo_desert :
Desert [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_estuary :
River [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_island :
Island [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_lake :
Lake [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_mountain :
Mountain [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_river :
River [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_sea :
Sea [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_source :
River [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
island :
Name [ TEXT ] primary_key
Islands [ TEXT ]
Area [ REAL ]
Height [ REAL ]
Type [ TEXT ]
Longitude [ REAL ]
Latitude [ REAL ]
islandIn :
Island [ TEXT ]
Sea [ TEXT ]
Lake [ TEXT ]
River [ TEXT ]
isMember :
Country [ TEXT ]
Organization [ TEXT ]
Type [ TEXT ]
lake :
Name [ TEXT ] primary_key
Area [ REAL ]
Depth [ REAL ]
Altitude [ REAL ]
Type [ TEXT ]
River [ TEXT ]
Longitude [ REAL ]
Latitude [ REAL ]
language :
Country [ TEXT ]
Name [ TEXT ]
Percentage [ REAL ]
located :
City [ TEXT ]
Province [ TEXT ]
Country [ TEXT ]
River [ TEXT ]
Lake [ TEXT ]
Sea [ TEXT ]
locatedOn :
City [ TEXT ]
Province [ TEXT ]
Country [ TEXT ]
Island [ TEXT ]
mergesWith :
Sea1 [ TEXT ]
Sea2 [ TEXT ]
mountain :
Name [ TEXT ] primary_key
Mountains [ TEXT ]
Height [ REAL ]
Type [ TEXT ]
Longitude [ REAL ]
Latitude [ REAL ]
mountainOnIsland :
Mountain [ TEXT ]
Island [ TEXT ]
organization :
Abbreviation [ TEXT ] primary_key
Name [ TEXT ]
City [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
Established [ DATE ]
politics :
Country [ TEXT ] primary_key
Independence [ DATE ]
Dependent [ TEXT ]
Government [ TEXT ]
population :
Country [ TEXT ] primary_key
Population_Growth [ REAL ]
Infant_Mortality [ REAL ]
province :
Name [ TEXT ]
Country [ TEXT ]
Population [ INTEGER ]
Area [ REAL ]
Capital [ TEXT ]
CapProv [ TEXT ]
religion :
Country [ TEXT ]
Name [ TEXT ]
Percentage [ REAL ]
river :
Name [ TEXT ] primary_key
River [ TEXT ]
Lake [ TEXT ]
Sea [ TEXT ]
Length [ REAL ]
SourceLongitude [ REAL ]
SourceLatitude [ REAL ]
Mountains [ TEXT ]
SourceAltitude [ REAL ]
EstuaryLongitude [ REAL ]
EstuaryLatitude [ REAL ]
sea :
Name [ TEXT ] primary_key
Depth [ REAL ]
target :
Country [ TEXT ] primary_key
Target [ TEXT ]
Please write me a SQL statement that answers the following question: List all countries with negative growth in population. State the country, population and growth. [/INST] | SELECT T1.Name, T1.Population, T2.Population_Growth FROM country AS T1 INNER JOIN population AS T2 ON T1.Code = T2.Country WHERE T2.Population_Growth < 0; |
[INST] Here is a database schema:
borders :
Country1 [ TEXT ]
Country2 [ TEXT ]
Length [ REAL ]
city :
Name [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
Population [ INTEGER ]
Longitude [ REAL ]
Latitude [ REAL ]
continent :
Name [ TEXT ] primary_key
Area [ REAL ]
country :
Name [ TEXT ]
Code [ TEXT ] primary_key
Capital [ TEXT ]
Province [ TEXT ]
Area [ REAL ]
Population [ INTEGER ]
desert :
Name [ TEXT ] primary_key
Area [ REAL ]
Longitude [ REAL ]
Latitude [ REAL ]
economy :
Country [ TEXT ] primary_key
GDP [ REAL ]
Agriculture [ REAL ]
Service [ REAL ]
Industry [ REAL ]
Inflation [ REAL ]
encompasses :
Country [ TEXT ]
Continent [ TEXT ]
Percentage [ REAL ]
ethnicGroup :
Country [ TEXT ]
Name [ TEXT ]
Percentage [ REAL ]
geo_desert :
Desert [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_estuary :
River [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_island :
Island [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_lake :
Lake [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_mountain :
Mountain [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_river :
River [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_sea :
Sea [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_source :
River [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
island :
Name [ TEXT ] primary_key
Islands [ TEXT ]
Area [ REAL ]
Height [ REAL ]
Type [ TEXT ]
Longitude [ REAL ]
Latitude [ REAL ]
islandIn :
Island [ TEXT ]
Sea [ TEXT ]
Lake [ TEXT ]
River [ TEXT ]
isMember :
Country [ TEXT ]
Organization [ TEXT ]
Type [ TEXT ]
lake :
Name [ TEXT ] primary_key
Area [ REAL ]
Depth [ REAL ]
Altitude [ REAL ]
Type [ TEXT ]
River [ TEXT ]
Longitude [ REAL ]
Latitude [ REAL ]
language :
Country [ TEXT ]
Name [ TEXT ]
Percentage [ REAL ]
located :
City [ TEXT ]
Province [ TEXT ]
Country [ TEXT ]
River [ TEXT ]
Lake [ TEXT ]
Sea [ TEXT ]
locatedOn :
City [ TEXT ]
Province [ TEXT ]
Country [ TEXT ]
Island [ TEXT ]
mergesWith :
Sea1 [ TEXT ]
Sea2 [ TEXT ]
mountain :
Name [ TEXT ] primary_key
Mountains [ TEXT ]
Height [ REAL ]
Type [ TEXT ]
Longitude [ REAL ]
Latitude [ REAL ]
mountainOnIsland :
Mountain [ TEXT ]
Island [ TEXT ]
organization :
Abbreviation [ TEXT ] primary_key
Name [ TEXT ]
City [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
Established [ DATE ]
politics :
Country [ TEXT ] primary_key
Independence [ DATE ]
Dependent [ TEXT ]
Government [ TEXT ]
population :
Country [ TEXT ] primary_key
Population_Growth [ REAL ]
Infant_Mortality [ REAL ]
province :
Name [ TEXT ]
Country [ TEXT ]
Population [ INTEGER ]
Area [ REAL ]
Capital [ TEXT ]
CapProv [ TEXT ]
religion :
Country [ TEXT ]
Name [ TEXT ]
Percentage [ REAL ]
river :
Name [ TEXT ] primary_key
River [ TEXT ]
Lake [ TEXT ]
Sea [ TEXT ]
Length [ REAL ]
SourceLongitude [ REAL ]
SourceLatitude [ REAL ]
Mountains [ TEXT ]
SourceAltitude [ REAL ]
EstuaryLongitude [ REAL ]
EstuaryLatitude [ REAL ]
sea :
Name [ TEXT ] primary_key
Depth [ REAL ]
target :
Country [ TEXT ] primary_key
Target [ TEXT ]
Please write me a SQL statement that answers the following question: For countries with area between 500000 to 1000000, state the country and infant mortality rate. [/INST] | SELECT T1.Name, T2.Infant_Mortality FROM country AS T1 INNER JOIN population AS T2 ON T1.Code = T2.Country WHERE T1.Area BETWEEN 500000 AND 1000000; |
[INST] Here is a database schema:
borders :
Country1 [ TEXT ]
Country2 [ TEXT ]
Length [ REAL ]
city :
Name [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
Population [ INTEGER ]
Longitude [ REAL ]
Latitude [ REAL ]
continent :
Name [ TEXT ] primary_key
Area [ REAL ]
country :
Name [ TEXT ]
Code [ TEXT ] primary_key
Capital [ TEXT ]
Province [ TEXT ]
Area [ REAL ]
Population [ INTEGER ]
desert :
Name [ TEXT ] primary_key
Area [ REAL ]
Longitude [ REAL ]
Latitude [ REAL ]
economy :
Country [ TEXT ] primary_key
GDP [ REAL ]
Agriculture [ REAL ]
Service [ REAL ]
Industry [ REAL ]
Inflation [ REAL ]
encompasses :
Country [ TEXT ]
Continent [ TEXT ]
Percentage [ REAL ]
ethnicGroup :
Country [ TEXT ]
Name [ TEXT ]
Percentage [ REAL ]
geo_desert :
Desert [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_estuary :
River [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_island :
Island [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_lake :
Lake [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_mountain :
Mountain [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_river :
River [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_sea :
Sea [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_source :
River [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
island :
Name [ TEXT ] primary_key
Islands [ TEXT ]
Area [ REAL ]
Height [ REAL ]
Type [ TEXT ]
Longitude [ REAL ]
Latitude [ REAL ]
islandIn :
Island [ TEXT ]
Sea [ TEXT ]
Lake [ TEXT ]
River [ TEXT ]
isMember :
Country [ TEXT ]
Organization [ TEXT ]
Type [ TEXT ]
lake :
Name [ TEXT ] primary_key
Area [ REAL ]
Depth [ REAL ]
Altitude [ REAL ]
Type [ TEXT ]
River [ TEXT ]
Longitude [ REAL ]
Latitude [ REAL ]
language :
Country [ TEXT ]
Name [ TEXT ]
Percentage [ REAL ]
located :
City [ TEXT ]
Province [ TEXT ]
Country [ TEXT ]
River [ TEXT ]
Lake [ TEXT ]
Sea [ TEXT ]
locatedOn :
City [ TEXT ]
Province [ TEXT ]
Country [ TEXT ]
Island [ TEXT ]
mergesWith :
Sea1 [ TEXT ]
Sea2 [ TEXT ]
mountain :
Name [ TEXT ] primary_key
Mountains [ TEXT ]
Height [ REAL ]
Type [ TEXT ]
Longitude [ REAL ]
Latitude [ REAL ]
mountainOnIsland :
Mountain [ TEXT ]
Island [ TEXT ]
organization :
Abbreviation [ TEXT ] primary_key
Name [ TEXT ]
City [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
Established [ DATE ]
politics :
Country [ TEXT ] primary_key
Independence [ DATE ]
Dependent [ TEXT ]
Government [ TEXT ]
population :
Country [ TEXT ] primary_key
Population_Growth [ REAL ]
Infant_Mortality [ REAL ]
province :
Name [ TEXT ]
Country [ TEXT ]
Population [ INTEGER ]
Area [ REAL ]
Capital [ TEXT ]
CapProv [ TEXT ]
religion :
Country [ TEXT ]
Name [ TEXT ]
Percentage [ REAL ]
river :
Name [ TEXT ] primary_key
River [ TEXT ]
Lake [ TEXT ]
Sea [ TEXT ]
Length [ REAL ]
SourceLongitude [ REAL ]
SourceLatitude [ REAL ]
Mountains [ TEXT ]
SourceAltitude [ REAL ]
EstuaryLongitude [ REAL ]
EstuaryLatitude [ REAL ]
sea :
Name [ TEXT ] primary_key
Depth [ REAL ]
target :
Country [ TEXT ] primary_key
Target [ TEXT ]
Please write me a SQL statement that answers the following question: Among the countries with more than 3% population growth rate, state the country name in full along with its GDP. [/INST] | SELECT T1.Name, T3.GDP FROM country AS T1 INNER JOIN population AS T2 ON T1.Code = T2.Country INNER JOIN economy AS T3 ON T3.Country = T2.Country WHERE T2.Population_Growth > 3; |
[INST] Here is a database schema:
borders :
Country1 [ TEXT ]
Country2 [ TEXT ]
Length [ REAL ]
city :
Name [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
Population [ INTEGER ]
Longitude [ REAL ]
Latitude [ REAL ]
continent :
Name [ TEXT ] primary_key
Area [ REAL ]
country :
Name [ TEXT ]
Code [ TEXT ] primary_key
Capital [ TEXT ]
Province [ TEXT ]
Area [ REAL ]
Population [ INTEGER ]
desert :
Name [ TEXT ] primary_key
Area [ REAL ]
Longitude [ REAL ]
Latitude [ REAL ]
economy :
Country [ TEXT ] primary_key
GDP [ REAL ]
Agriculture [ REAL ]
Service [ REAL ]
Industry [ REAL ]
Inflation [ REAL ]
encompasses :
Country [ TEXT ]
Continent [ TEXT ]
Percentage [ REAL ]
ethnicGroup :
Country [ TEXT ]
Name [ TEXT ]
Percentage [ REAL ]
geo_desert :
Desert [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_estuary :
River [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_island :
Island [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_lake :
Lake [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_mountain :
Mountain [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_river :
River [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_sea :
Sea [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_source :
River [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
island :
Name [ TEXT ] primary_key
Islands [ TEXT ]
Area [ REAL ]
Height [ REAL ]
Type [ TEXT ]
Longitude [ REAL ]
Latitude [ REAL ]
islandIn :
Island [ TEXT ]
Sea [ TEXT ]
Lake [ TEXT ]
River [ TEXT ]
isMember :
Country [ TEXT ]
Organization [ TEXT ]
Type [ TEXT ]
lake :
Name [ TEXT ] primary_key
Area [ REAL ]
Depth [ REAL ]
Altitude [ REAL ]
Type [ TEXT ]
River [ TEXT ]
Longitude [ REAL ]
Latitude [ REAL ]
language :
Country [ TEXT ]
Name [ TEXT ]
Percentage [ REAL ]
located :
City [ TEXT ]
Province [ TEXT ]
Country [ TEXT ]
River [ TEXT ]
Lake [ TEXT ]
Sea [ TEXT ]
locatedOn :
City [ TEXT ]
Province [ TEXT ]
Country [ TEXT ]
Island [ TEXT ]
mergesWith :
Sea1 [ TEXT ]
Sea2 [ TEXT ]
mountain :
Name [ TEXT ] primary_key
Mountains [ TEXT ]
Height [ REAL ]
Type [ TEXT ]
Longitude [ REAL ]
Latitude [ REAL ]
mountainOnIsland :
Mountain [ TEXT ]
Island [ TEXT ]
organization :
Abbreviation [ TEXT ] primary_key
Name [ TEXT ]
City [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
Established [ DATE ]
politics :
Country [ TEXT ] primary_key
Independence [ DATE ]
Dependent [ TEXT ]
Government [ TEXT ]
population :
Country [ TEXT ] primary_key
Population_Growth [ REAL ]
Infant_Mortality [ REAL ]
province :
Name [ TEXT ]
Country [ TEXT ]
Population [ INTEGER ]
Area [ REAL ]
Capital [ TEXT ]
CapProv [ TEXT ]
religion :
Country [ TEXT ]
Name [ TEXT ]
Percentage [ REAL ]
river :
Name [ TEXT ] primary_key
River [ TEXT ]
Lake [ TEXT ]
Sea [ TEXT ]
Length [ REAL ]
SourceLongitude [ REAL ]
SourceLatitude [ REAL ]
Mountains [ TEXT ]
SourceAltitude [ REAL ]
EstuaryLongitude [ REAL ]
EstuaryLatitude [ REAL ]
sea :
Name [ TEXT ] primary_key
Depth [ REAL ]
target :
Country [ TEXT ] primary_key
Target [ TEXT ]
Please write me a SQL statement that answers the following question: What is the infant mortality rate for Ethiopia? [/INST] | SELECT T2.Infant_Mortality FROM country AS T1 INNER JOIN population AS T2 ON T1.Code = T2.Country WHERE T1.Name = 'Ethiopia'; |
[INST] Here is a database schema:
borders :
Country1 [ TEXT ]
Country2 [ TEXT ]
Length [ REAL ]
city :
Name [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
Population [ INTEGER ]
Longitude [ REAL ]
Latitude [ REAL ]
continent :
Name [ TEXT ] primary_key
Area [ REAL ]
country :
Name [ TEXT ]
Code [ TEXT ] primary_key
Capital [ TEXT ]
Province [ TEXT ]
Area [ REAL ]
Population [ INTEGER ]
desert :
Name [ TEXT ] primary_key
Area [ REAL ]
Longitude [ REAL ]
Latitude [ REAL ]
economy :
Country [ TEXT ] primary_key
GDP [ REAL ]
Agriculture [ REAL ]
Service [ REAL ]
Industry [ REAL ]
Inflation [ REAL ]
encompasses :
Country [ TEXT ]
Continent [ TEXT ]
Percentage [ REAL ]
ethnicGroup :
Country [ TEXT ]
Name [ TEXT ]
Percentage [ REAL ]
geo_desert :
Desert [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_estuary :
River [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_island :
Island [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_lake :
Lake [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_mountain :
Mountain [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_river :
River [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_sea :
Sea [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_source :
River [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
island :
Name [ TEXT ] primary_key
Islands [ TEXT ]
Area [ REAL ]
Height [ REAL ]
Type [ TEXT ]
Longitude [ REAL ]
Latitude [ REAL ]
islandIn :
Island [ TEXT ]
Sea [ TEXT ]
Lake [ TEXT ]
River [ TEXT ]
isMember :
Country [ TEXT ]
Organization [ TEXT ]
Type [ TEXT ]
lake :
Name [ TEXT ] primary_key
Area [ REAL ]
Depth [ REAL ]
Altitude [ REAL ]
Type [ TEXT ]
River [ TEXT ]
Longitude [ REAL ]
Latitude [ REAL ]
language :
Country [ TEXT ]
Name [ TEXT ]
Percentage [ REAL ]
located :
City [ TEXT ]
Province [ TEXT ]
Country [ TEXT ]
River [ TEXT ]
Lake [ TEXT ]
Sea [ TEXT ]
locatedOn :
City [ TEXT ]
Province [ TEXT ]
Country [ TEXT ]
Island [ TEXT ]
mergesWith :
Sea1 [ TEXT ]
Sea2 [ TEXT ]
mountain :
Name [ TEXT ] primary_key
Mountains [ TEXT ]
Height [ REAL ]
Type [ TEXT ]
Longitude [ REAL ]
Latitude [ REAL ]
mountainOnIsland :
Mountain [ TEXT ]
Island [ TEXT ]
organization :
Abbreviation [ TEXT ] primary_key
Name [ TEXT ]
City [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
Established [ DATE ]
politics :
Country [ TEXT ] primary_key
Independence [ DATE ]
Dependent [ TEXT ]
Government [ TEXT ]
population :
Country [ TEXT ] primary_key
Population_Growth [ REAL ]
Infant_Mortality [ REAL ]
province :
Name [ TEXT ]
Country [ TEXT ]
Population [ INTEGER ]
Area [ REAL ]
Capital [ TEXT ]
CapProv [ TEXT ]
religion :
Country [ TEXT ]
Name [ TEXT ]
Percentage [ REAL ]
river :
Name [ TEXT ] primary_key
River [ TEXT ]
Lake [ TEXT ]
Sea [ TEXT ]
Length [ REAL ]
SourceLongitude [ REAL ]
SourceLatitude [ REAL ]
Mountains [ TEXT ]
SourceAltitude [ REAL ]
EstuaryLongitude [ REAL ]
EstuaryLatitude [ REAL ]
sea :
Name [ TEXT ] primary_key
Depth [ REAL ]
target :
Country [ TEXT ] primary_key
Target [ TEXT ]
Please write me a SQL statement that answers the following question: How much does the gross domestic products goes to the industry sector for Singapore? [/INST] | SELECT T2.GDP * T2.Industry FROM country AS T1 INNER JOIN economy AS T2 ON T1.Code = T2.Country WHERE T1.Name = 'Singapore'; |
[INST] Here is a database schema:
borders :
Country1 [ TEXT ]
Country2 [ TEXT ]
Length [ REAL ]
city :
Name [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
Population [ INTEGER ]
Longitude [ REAL ]
Latitude [ REAL ]
continent :
Name [ TEXT ] primary_key
Area [ REAL ]
country :
Name [ TEXT ]
Code [ TEXT ] primary_key
Capital [ TEXT ]
Province [ TEXT ]
Area [ REAL ]
Population [ INTEGER ]
desert :
Name [ TEXT ] primary_key
Area [ REAL ]
Longitude [ REAL ]
Latitude [ REAL ]
economy :
Country [ TEXT ] primary_key
GDP [ REAL ]
Agriculture [ REAL ]
Service [ REAL ]
Industry [ REAL ]
Inflation [ REAL ]
encompasses :
Country [ TEXT ]
Continent [ TEXT ]
Percentage [ REAL ]
ethnicGroup :
Country [ TEXT ]
Name [ TEXT ]
Percentage [ REAL ]
geo_desert :
Desert [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_estuary :
River [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_island :
Island [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_lake :
Lake [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_mountain :
Mountain [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_river :
River [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_sea :
Sea [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_source :
River [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
island :
Name [ TEXT ] primary_key
Islands [ TEXT ]
Area [ REAL ]
Height [ REAL ]
Type [ TEXT ]
Longitude [ REAL ]
Latitude [ REAL ]
islandIn :
Island [ TEXT ]
Sea [ TEXT ]
Lake [ TEXT ]
River [ TEXT ]
isMember :
Country [ TEXT ]
Organization [ TEXT ]
Type [ TEXT ]
lake :
Name [ TEXT ] primary_key
Area [ REAL ]
Depth [ REAL ]
Altitude [ REAL ]
Type [ TEXT ]
River [ TEXT ]
Longitude [ REAL ]
Latitude [ REAL ]
language :
Country [ TEXT ]
Name [ TEXT ]
Percentage [ REAL ]
located :
City [ TEXT ]
Province [ TEXT ]
Country [ TEXT ]
River [ TEXT ]
Lake [ TEXT ]
Sea [ TEXT ]
locatedOn :
City [ TEXT ]
Province [ TEXT ]
Country [ TEXT ]
Island [ TEXT ]
mergesWith :
Sea1 [ TEXT ]
Sea2 [ TEXT ]
mountain :
Name [ TEXT ] primary_key
Mountains [ TEXT ]
Height [ REAL ]
Type [ TEXT ]
Longitude [ REAL ]
Latitude [ REAL ]
mountainOnIsland :
Mountain [ TEXT ]
Island [ TEXT ]
organization :
Abbreviation [ TEXT ] primary_key
Name [ TEXT ]
City [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
Established [ DATE ]
politics :
Country [ TEXT ] primary_key
Independence [ DATE ]
Dependent [ TEXT ]
Government [ TEXT ]
population :
Country [ TEXT ] primary_key
Population_Growth [ REAL ]
Infant_Mortality [ REAL ]
province :
Name [ TEXT ]
Country [ TEXT ]
Population [ INTEGER ]
Area [ REAL ]
Capital [ TEXT ]
CapProv [ TEXT ]
religion :
Country [ TEXT ]
Name [ TEXT ]
Percentage [ REAL ]
river :
Name [ TEXT ] primary_key
River [ TEXT ]
Lake [ TEXT ]
Sea [ TEXT ]
Length [ REAL ]
SourceLongitude [ REAL ]
SourceLatitude [ REAL ]
Mountains [ TEXT ]
SourceAltitude [ REAL ]
EstuaryLongitude [ REAL ]
EstuaryLatitude [ REAL ]
sea :
Name [ TEXT ] primary_key
Depth [ REAL ]
target :
Country [ TEXT ] primary_key
Target [ TEXT ]
Please write me a SQL statement that answers the following question: How much is her GDP in agriculture for the country with the least area? [/INST] | SELECT T2.GDP * T2.Agriculture FROM country AS T1 INNER JOIN economy AS T2 ON T1.Code = T2.Country ORDER BY T1.Area ASC LIMIT 1; |
[INST] Here is a database schema:
borders :
Country1 [ TEXT ]
Country2 [ TEXT ]
Length [ REAL ]
city :
Name [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
Population [ INTEGER ]
Longitude [ REAL ]
Latitude [ REAL ]
continent :
Name [ TEXT ] primary_key
Area [ REAL ]
country :
Name [ TEXT ]
Code [ TEXT ] primary_key
Capital [ TEXT ]
Province [ TEXT ]
Area [ REAL ]
Population [ INTEGER ]
desert :
Name [ TEXT ] primary_key
Area [ REAL ]
Longitude [ REAL ]
Latitude [ REAL ]
economy :
Country [ TEXT ] primary_key
GDP [ REAL ]
Agriculture [ REAL ]
Service [ REAL ]
Industry [ REAL ]
Inflation [ REAL ]
encompasses :
Country [ TEXT ]
Continent [ TEXT ]
Percentage [ REAL ]
ethnicGroup :
Country [ TEXT ]
Name [ TEXT ]
Percentage [ REAL ]
geo_desert :
Desert [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_estuary :
River [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_island :
Island [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_lake :
Lake [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_mountain :
Mountain [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_river :
River [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_sea :
Sea [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_source :
River [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
island :
Name [ TEXT ] primary_key
Islands [ TEXT ]
Area [ REAL ]
Height [ REAL ]
Type [ TEXT ]
Longitude [ REAL ]
Latitude [ REAL ]
islandIn :
Island [ TEXT ]
Sea [ TEXT ]
Lake [ TEXT ]
River [ TEXT ]
isMember :
Country [ TEXT ]
Organization [ TEXT ]
Type [ TEXT ]
lake :
Name [ TEXT ] primary_key
Area [ REAL ]
Depth [ REAL ]
Altitude [ REAL ]
Type [ TEXT ]
River [ TEXT ]
Longitude [ REAL ]
Latitude [ REAL ]
language :
Country [ TEXT ]
Name [ TEXT ]
Percentage [ REAL ]
located :
City [ TEXT ]
Province [ TEXT ]
Country [ TEXT ]
River [ TEXT ]
Lake [ TEXT ]
Sea [ TEXT ]
locatedOn :
City [ TEXT ]
Province [ TEXT ]
Country [ TEXT ]
Island [ TEXT ]
mergesWith :
Sea1 [ TEXT ]
Sea2 [ TEXT ]
mountain :
Name [ TEXT ] primary_key
Mountains [ TEXT ]
Height [ REAL ]
Type [ TEXT ]
Longitude [ REAL ]
Latitude [ REAL ]
mountainOnIsland :
Mountain [ TEXT ]
Island [ TEXT ]
organization :
Abbreviation [ TEXT ] primary_key
Name [ TEXT ]
City [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
Established [ DATE ]
politics :
Country [ TEXT ] primary_key
Independence [ DATE ]
Dependent [ TEXT ]
Government [ TEXT ]
population :
Country [ TEXT ] primary_key
Population_Growth [ REAL ]
Infant_Mortality [ REAL ]
province :
Name [ TEXT ]
Country [ TEXT ]
Population [ INTEGER ]
Area [ REAL ]
Capital [ TEXT ]
CapProv [ TEXT ]
religion :
Country [ TEXT ]
Name [ TEXT ]
Percentage [ REAL ]
river :
Name [ TEXT ] primary_key
River [ TEXT ]
Lake [ TEXT ]
Sea [ TEXT ]
Length [ REAL ]
SourceLongitude [ REAL ]
SourceLatitude [ REAL ]
Mountains [ TEXT ]
SourceAltitude [ REAL ]
EstuaryLongitude [ REAL ]
EstuaryLatitude [ REAL ]
sea :
Name [ TEXT ] primary_key
Depth [ REAL ]
target :
Country [ TEXT ] primary_key
Target [ TEXT ]
Please write me a SQL statement that answers the following question: Which country has the biggest percentage of the albanian ethnic group? [/INST] | SELECT T1.Name FROM country AS T1 INNER JOIN ethnicGroup AS T2 ON T1.Code = T2.Country WHERE T2.Name = 'Albanian' ORDER BY T2.Percentage DESC LIMIT 1; |
[INST] Here is a database schema:
borders :
Country1 [ TEXT ]
Country2 [ TEXT ]
Length [ REAL ]
city :
Name [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
Population [ INTEGER ]
Longitude [ REAL ]
Latitude [ REAL ]
continent :
Name [ TEXT ] primary_key
Area [ REAL ]
country :
Name [ TEXT ]
Code [ TEXT ] primary_key
Capital [ TEXT ]
Province [ TEXT ]
Area [ REAL ]
Population [ INTEGER ]
desert :
Name [ TEXT ] primary_key
Area [ REAL ]
Longitude [ REAL ]
Latitude [ REAL ]
economy :
Country [ TEXT ] primary_key
GDP [ REAL ]
Agriculture [ REAL ]
Service [ REAL ]
Industry [ REAL ]
Inflation [ REAL ]
encompasses :
Country [ TEXT ]
Continent [ TEXT ]
Percentage [ REAL ]
ethnicGroup :
Country [ TEXT ]
Name [ TEXT ]
Percentage [ REAL ]
geo_desert :
Desert [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_estuary :
River [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_island :
Island [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_lake :
Lake [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_mountain :
Mountain [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_river :
River [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_sea :
Sea [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_source :
River [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
island :
Name [ TEXT ] primary_key
Islands [ TEXT ]
Area [ REAL ]
Height [ REAL ]
Type [ TEXT ]
Longitude [ REAL ]
Latitude [ REAL ]
islandIn :
Island [ TEXT ]
Sea [ TEXT ]
Lake [ TEXT ]
River [ TEXT ]
isMember :
Country [ TEXT ]
Organization [ TEXT ]
Type [ TEXT ]
lake :
Name [ TEXT ] primary_key
Area [ REAL ]
Depth [ REAL ]
Altitude [ REAL ]
Type [ TEXT ]
River [ TEXT ]
Longitude [ REAL ]
Latitude [ REAL ]
language :
Country [ TEXT ]
Name [ TEXT ]
Percentage [ REAL ]
located :
City [ TEXT ]
Province [ TEXT ]
Country [ TEXT ]
River [ TEXT ]
Lake [ TEXT ]
Sea [ TEXT ]
locatedOn :
City [ TEXT ]
Province [ TEXT ]
Country [ TEXT ]
Island [ TEXT ]
mergesWith :
Sea1 [ TEXT ]
Sea2 [ TEXT ]
mountain :
Name [ TEXT ] primary_key
Mountains [ TEXT ]
Height [ REAL ]
Type [ TEXT ]
Longitude [ REAL ]
Latitude [ REAL ]
mountainOnIsland :
Mountain [ TEXT ]
Island [ TEXT ]
organization :
Abbreviation [ TEXT ] primary_key
Name [ TEXT ]
City [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
Established [ DATE ]
politics :
Country [ TEXT ] primary_key
Independence [ DATE ]
Dependent [ TEXT ]
Government [ TEXT ]
population :
Country [ TEXT ] primary_key
Population_Growth [ REAL ]
Infant_Mortality [ REAL ]
province :
Name [ TEXT ]
Country [ TEXT ]
Population [ INTEGER ]
Area [ REAL ]
Capital [ TEXT ]
CapProv [ TEXT ]
religion :
Country [ TEXT ]
Name [ TEXT ]
Percentage [ REAL ]
river :
Name [ TEXT ] primary_key
River [ TEXT ]
Lake [ TEXT ]
Sea [ TEXT ]
Length [ REAL ]
SourceLongitude [ REAL ]
SourceLatitude [ REAL ]
Mountains [ TEXT ]
SourceAltitude [ REAL ]
EstuaryLongitude [ REAL ]
EstuaryLatitude [ REAL ]
sea :
Name [ TEXT ] primary_key
Depth [ REAL ]
target :
Country [ TEXT ] primary_key
Target [ TEXT ]
Please write me a SQL statement that answers the following question: Among the countries with the African ethnic group, how many of them has a population of over 10000000? [/INST] | SELECT COUNT(T1.Name) FROM country AS T1 INNER JOIN ethnicGroup AS T2 ON T1.Code = T2.Country WHERE T2.Name = 'African' AND T1.Area > 10000000; |
[INST] Here is a database schema:
borders :
Country1 [ TEXT ]
Country2 [ TEXT ]
Length [ REAL ]
city :
Name [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
Population [ INTEGER ]
Longitude [ REAL ]
Latitude [ REAL ]
continent :
Name [ TEXT ] primary_key
Area [ REAL ]
country :
Name [ TEXT ]
Code [ TEXT ] primary_key
Capital [ TEXT ]
Province [ TEXT ]
Area [ REAL ]
Population [ INTEGER ]
desert :
Name [ TEXT ] primary_key
Area [ REAL ]
Longitude [ REAL ]
Latitude [ REAL ]
economy :
Country [ TEXT ] primary_key
GDP [ REAL ]
Agriculture [ REAL ]
Service [ REAL ]
Industry [ REAL ]
Inflation [ REAL ]
encompasses :
Country [ TEXT ]
Continent [ TEXT ]
Percentage [ REAL ]
ethnicGroup :
Country [ TEXT ]
Name [ TEXT ]
Percentage [ REAL ]
geo_desert :
Desert [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_estuary :
River [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_island :
Island [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_lake :
Lake [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_mountain :
Mountain [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_river :
River [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_sea :
Sea [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_source :
River [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
island :
Name [ TEXT ] primary_key
Islands [ TEXT ]
Area [ REAL ]
Height [ REAL ]
Type [ TEXT ]
Longitude [ REAL ]
Latitude [ REAL ]
islandIn :
Island [ TEXT ]
Sea [ TEXT ]
Lake [ TEXT ]
River [ TEXT ]
isMember :
Country [ TEXT ]
Organization [ TEXT ]
Type [ TEXT ]
lake :
Name [ TEXT ] primary_key
Area [ REAL ]
Depth [ REAL ]
Altitude [ REAL ]
Type [ TEXT ]
River [ TEXT ]
Longitude [ REAL ]
Latitude [ REAL ]
language :
Country [ TEXT ]
Name [ TEXT ]
Percentage [ REAL ]
located :
City [ TEXT ]
Province [ TEXT ]
Country [ TEXT ]
River [ TEXT ]
Lake [ TEXT ]
Sea [ TEXT ]
locatedOn :
City [ TEXT ]
Province [ TEXT ]
Country [ TEXT ]
Island [ TEXT ]
mergesWith :
Sea1 [ TEXT ]
Sea2 [ TEXT ]
mountain :
Name [ TEXT ] primary_key
Mountains [ TEXT ]
Height [ REAL ]
Type [ TEXT ]
Longitude [ REAL ]
Latitude [ REAL ]
mountainOnIsland :
Mountain [ TEXT ]
Island [ TEXT ]
organization :
Abbreviation [ TEXT ] primary_key
Name [ TEXT ]
City [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
Established [ DATE ]
politics :
Country [ TEXT ] primary_key
Independence [ DATE ]
Dependent [ TEXT ]
Government [ TEXT ]
population :
Country [ TEXT ] primary_key
Population_Growth [ REAL ]
Infant_Mortality [ REAL ]
province :
Name [ TEXT ]
Country [ TEXT ]
Population [ INTEGER ]
Area [ REAL ]
Capital [ TEXT ]
CapProv [ TEXT ]
religion :
Country [ TEXT ]
Name [ TEXT ]
Percentage [ REAL ]
river :
Name [ TEXT ] primary_key
River [ TEXT ]
Lake [ TEXT ]
Sea [ TEXT ]
Length [ REAL ]
SourceLongitude [ REAL ]
SourceLatitude [ REAL ]
Mountains [ TEXT ]
SourceAltitude [ REAL ]
EstuaryLongitude [ REAL ]
EstuaryLatitude [ REAL ]
sea :
Name [ TEXT ] primary_key
Depth [ REAL ]
target :
Country [ TEXT ] primary_key
Target [ TEXT ]
Please write me a SQL statement that answers the following question: Please list the name of the countries with over 5 ethnic groups. [/INST] | SELECT T1.Name FROM country AS T1 INNER JOIN ethnicGroup AS T2 ON T1.Code = T2.Country GROUP BY T1.Name HAVING COUNT(T1.Name) > 5; |
[INST] Here is a database schema:
borders :
Country1 [ TEXT ]
Country2 [ TEXT ]
Length [ REAL ]
city :
Name [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
Population [ INTEGER ]
Longitude [ REAL ]
Latitude [ REAL ]
continent :
Name [ TEXT ] primary_key
Area [ REAL ]
country :
Name [ TEXT ]
Code [ TEXT ] primary_key
Capital [ TEXT ]
Province [ TEXT ]
Area [ REAL ]
Population [ INTEGER ]
desert :
Name [ TEXT ] primary_key
Area [ REAL ]
Longitude [ REAL ]
Latitude [ REAL ]
economy :
Country [ TEXT ] primary_key
GDP [ REAL ]
Agriculture [ REAL ]
Service [ REAL ]
Industry [ REAL ]
Inflation [ REAL ]
encompasses :
Country [ TEXT ]
Continent [ TEXT ]
Percentage [ REAL ]
ethnicGroup :
Country [ TEXT ]
Name [ TEXT ]
Percentage [ REAL ]
geo_desert :
Desert [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_estuary :
River [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_island :
Island [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_lake :
Lake [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_mountain :
Mountain [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_river :
River [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_sea :
Sea [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_source :
River [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
island :
Name [ TEXT ] primary_key
Islands [ TEXT ]
Area [ REAL ]
Height [ REAL ]
Type [ TEXT ]
Longitude [ REAL ]
Latitude [ REAL ]
islandIn :
Island [ TEXT ]
Sea [ TEXT ]
Lake [ TEXT ]
River [ TEXT ]
isMember :
Country [ TEXT ]
Organization [ TEXT ]
Type [ TEXT ]
lake :
Name [ TEXT ] primary_key
Area [ REAL ]
Depth [ REAL ]
Altitude [ REAL ]
Type [ TEXT ]
River [ TEXT ]
Longitude [ REAL ]
Latitude [ REAL ]
language :
Country [ TEXT ]
Name [ TEXT ]
Percentage [ REAL ]
located :
City [ TEXT ]
Province [ TEXT ]
Country [ TEXT ]
River [ TEXT ]
Lake [ TEXT ]
Sea [ TEXT ]
locatedOn :
City [ TEXT ]
Province [ TEXT ]
Country [ TEXT ]
Island [ TEXT ]
mergesWith :
Sea1 [ TEXT ]
Sea2 [ TEXT ]
mountain :
Name [ TEXT ] primary_key
Mountains [ TEXT ]
Height [ REAL ]
Type [ TEXT ]
Longitude [ REAL ]
Latitude [ REAL ]
mountainOnIsland :
Mountain [ TEXT ]
Island [ TEXT ]
organization :
Abbreviation [ TEXT ] primary_key
Name [ TEXT ]
City [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
Established [ DATE ]
politics :
Country [ TEXT ] primary_key
Independence [ DATE ]
Dependent [ TEXT ]
Government [ TEXT ]
population :
Country [ TEXT ] primary_key
Population_Growth [ REAL ]
Infant_Mortality [ REAL ]
province :
Name [ TEXT ]
Country [ TEXT ]
Population [ INTEGER ]
Area [ REAL ]
Capital [ TEXT ]
CapProv [ TEXT ]
religion :
Country [ TEXT ]
Name [ TEXT ]
Percentage [ REAL ]
river :
Name [ TEXT ] primary_key
River [ TEXT ]
Lake [ TEXT ]
Sea [ TEXT ]
Length [ REAL ]
SourceLongitude [ REAL ]
SourceLatitude [ REAL ]
Mountains [ TEXT ]
SourceAltitude [ REAL ]
EstuaryLongitude [ REAL ]
EstuaryLatitude [ REAL ]
sea :
Name [ TEXT ] primary_key
Depth [ REAL ]
target :
Country [ TEXT ] primary_key
Target [ TEXT ]
Please write me a SQL statement that answers the following question: Which country has the highest GDP? [/INST] | SELECT T1.Name FROM country AS T1 INNER JOIN economy AS T2 ON T1.Code = T2.Country ORDER BY T2.GDP DESC LIMIT 1; |
[INST] Here is a database schema:
borders :
Country1 [ TEXT ]
Country2 [ TEXT ]
Length [ REAL ]
city :
Name [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
Population [ INTEGER ]
Longitude [ REAL ]
Latitude [ REAL ]
continent :
Name [ TEXT ] primary_key
Area [ REAL ]
country :
Name [ TEXT ]
Code [ TEXT ] primary_key
Capital [ TEXT ]
Province [ TEXT ]
Area [ REAL ]
Population [ INTEGER ]
desert :
Name [ TEXT ] primary_key
Area [ REAL ]
Longitude [ REAL ]
Latitude [ REAL ]
economy :
Country [ TEXT ] primary_key
GDP [ REAL ]
Agriculture [ REAL ]
Service [ REAL ]
Industry [ REAL ]
Inflation [ REAL ]
encompasses :
Country [ TEXT ]
Continent [ TEXT ]
Percentage [ REAL ]
ethnicGroup :
Country [ TEXT ]
Name [ TEXT ]
Percentage [ REAL ]
geo_desert :
Desert [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_estuary :
River [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_island :
Island [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_lake :
Lake [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_mountain :
Mountain [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_river :
River [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_sea :
Sea [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_source :
River [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
island :
Name [ TEXT ] primary_key
Islands [ TEXT ]
Area [ REAL ]
Height [ REAL ]
Type [ TEXT ]
Longitude [ REAL ]
Latitude [ REAL ]
islandIn :
Island [ TEXT ]
Sea [ TEXT ]
Lake [ TEXT ]
River [ TEXT ]
isMember :
Country [ TEXT ]
Organization [ TEXT ]
Type [ TEXT ]
lake :
Name [ TEXT ] primary_key
Area [ REAL ]
Depth [ REAL ]
Altitude [ REAL ]
Type [ TEXT ]
River [ TEXT ]
Longitude [ REAL ]
Latitude [ REAL ]
language :
Country [ TEXT ]
Name [ TEXT ]
Percentage [ REAL ]
located :
City [ TEXT ]
Province [ TEXT ]
Country [ TEXT ]
River [ TEXT ]
Lake [ TEXT ]
Sea [ TEXT ]
locatedOn :
City [ TEXT ]
Province [ TEXT ]
Country [ TEXT ]
Island [ TEXT ]
mergesWith :
Sea1 [ TEXT ]
Sea2 [ TEXT ]
mountain :
Name [ TEXT ] primary_key
Mountains [ TEXT ]
Height [ REAL ]
Type [ TEXT ]
Longitude [ REAL ]
Latitude [ REAL ]
mountainOnIsland :
Mountain [ TEXT ]
Island [ TEXT ]
organization :
Abbreviation [ TEXT ] primary_key
Name [ TEXT ]
City [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
Established [ DATE ]
politics :
Country [ TEXT ] primary_key
Independence [ DATE ]
Dependent [ TEXT ]
Government [ TEXT ]
population :
Country [ TEXT ] primary_key
Population_Growth [ REAL ]
Infant_Mortality [ REAL ]
province :
Name [ TEXT ]
Country [ TEXT ]
Population [ INTEGER ]
Area [ REAL ]
Capital [ TEXT ]
CapProv [ TEXT ]
religion :
Country [ TEXT ]
Name [ TEXT ]
Percentage [ REAL ]
river :
Name [ TEXT ] primary_key
River [ TEXT ]
Lake [ TEXT ]
Sea [ TEXT ]
Length [ REAL ]
SourceLongitude [ REAL ]
SourceLatitude [ REAL ]
Mountains [ TEXT ]
SourceAltitude [ REAL ]
EstuaryLongitude [ REAL ]
EstuaryLatitude [ REAL ]
sea :
Name [ TEXT ] primary_key
Depth [ REAL ]
target :
Country [ TEXT ] primary_key
Target [ TEXT ]
Please write me a SQL statement that answers the following question: Among the countries with a population of over 10000000, how many of them have a GDP of over 500000? [/INST] | SELECT COUNT(T1.Name) FROM country AS T1 INNER JOIN economy AS T2 ON T1.Code = T2.Country WHERE T2.GDP > 500000 AND T1.Population > 10000000; |
[INST] Here is a database schema:
borders :
Country1 [ TEXT ]
Country2 [ TEXT ]
Length [ REAL ]
city :
Name [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
Population [ INTEGER ]
Longitude [ REAL ]
Latitude [ REAL ]
continent :
Name [ TEXT ] primary_key
Area [ REAL ]
country :
Name [ TEXT ]
Code [ TEXT ] primary_key
Capital [ TEXT ]
Province [ TEXT ]
Area [ REAL ]
Population [ INTEGER ]
desert :
Name [ TEXT ] primary_key
Area [ REAL ]
Longitude [ REAL ]
Latitude [ REAL ]
economy :
Country [ TEXT ] primary_key
GDP [ REAL ]
Agriculture [ REAL ]
Service [ REAL ]
Industry [ REAL ]
Inflation [ REAL ]
encompasses :
Country [ TEXT ]
Continent [ TEXT ]
Percentage [ REAL ]
ethnicGroup :
Country [ TEXT ]
Name [ TEXT ]
Percentage [ REAL ]
geo_desert :
Desert [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_estuary :
River [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_island :
Island [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_lake :
Lake [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_mountain :
Mountain [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_river :
River [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_sea :
Sea [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_source :
River [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
island :
Name [ TEXT ] primary_key
Islands [ TEXT ]
Area [ REAL ]
Height [ REAL ]
Type [ TEXT ]
Longitude [ REAL ]
Latitude [ REAL ]
islandIn :
Island [ TEXT ]
Sea [ TEXT ]
Lake [ TEXT ]
River [ TEXT ]
isMember :
Country [ TEXT ]
Organization [ TEXT ]
Type [ TEXT ]
lake :
Name [ TEXT ] primary_key
Area [ REAL ]
Depth [ REAL ]
Altitude [ REAL ]
Type [ TEXT ]
River [ TEXT ]
Longitude [ REAL ]
Latitude [ REAL ]
language :
Country [ TEXT ]
Name [ TEXT ]
Percentage [ REAL ]
located :
City [ TEXT ]
Province [ TEXT ]
Country [ TEXT ]
River [ TEXT ]
Lake [ TEXT ]
Sea [ TEXT ]
locatedOn :
City [ TEXT ]
Province [ TEXT ]
Country [ TEXT ]
Island [ TEXT ]
mergesWith :
Sea1 [ TEXT ]
Sea2 [ TEXT ]
mountain :
Name [ TEXT ] primary_key
Mountains [ TEXT ]
Height [ REAL ]
Type [ TEXT ]
Longitude [ REAL ]
Latitude [ REAL ]
mountainOnIsland :
Mountain [ TEXT ]
Island [ TEXT ]
organization :
Abbreviation [ TEXT ] primary_key
Name [ TEXT ]
City [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
Established [ DATE ]
politics :
Country [ TEXT ] primary_key
Independence [ DATE ]
Dependent [ TEXT ]
Government [ TEXT ]
population :
Country [ TEXT ] primary_key
Population_Growth [ REAL ]
Infant_Mortality [ REAL ]
province :
Name [ TEXT ]
Country [ TEXT ]
Population [ INTEGER ]
Area [ REAL ]
Capital [ TEXT ]
CapProv [ TEXT ]
religion :
Country [ TEXT ]
Name [ TEXT ]
Percentage [ REAL ]
river :
Name [ TEXT ] primary_key
River [ TEXT ]
Lake [ TEXT ]
Sea [ TEXT ]
Length [ REAL ]
SourceLongitude [ REAL ]
SourceLatitude [ REAL ]
Mountains [ TEXT ]
SourceAltitude [ REAL ]
EstuaryLongitude [ REAL ]
EstuaryLatitude [ REAL ]
sea :
Name [ TEXT ] primary_key
Depth [ REAL ]
target :
Country [ TEXT ] primary_key
Target [ TEXT ]
Please write me a SQL statement that answers the following question: Please list the capital cities of the countries with an inflation rate under 2. [/INST] | SELECT T1.Capital FROM country AS T1 INNER JOIN economy AS T2 ON T1.Code = T2.Country WHERE T2.Inflation < 2; |
[INST] Here is a database schema:
borders :
Country1 [ TEXT ]
Country2 [ TEXT ]
Length [ REAL ]
city :
Name [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
Population [ INTEGER ]
Longitude [ REAL ]
Latitude [ REAL ]
continent :
Name [ TEXT ] primary_key
Area [ REAL ]
country :
Name [ TEXT ]
Code [ TEXT ] primary_key
Capital [ TEXT ]
Province [ TEXT ]
Area [ REAL ]
Population [ INTEGER ]
desert :
Name [ TEXT ] primary_key
Area [ REAL ]
Longitude [ REAL ]
Latitude [ REAL ]
economy :
Country [ TEXT ] primary_key
GDP [ REAL ]
Agriculture [ REAL ]
Service [ REAL ]
Industry [ REAL ]
Inflation [ REAL ]
encompasses :
Country [ TEXT ]
Continent [ TEXT ]
Percentage [ REAL ]
ethnicGroup :
Country [ TEXT ]
Name [ TEXT ]
Percentage [ REAL ]
geo_desert :
Desert [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_estuary :
River [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_island :
Island [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_lake :
Lake [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_mountain :
Mountain [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_river :
River [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_sea :
Sea [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_source :
River [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
island :
Name [ TEXT ] primary_key
Islands [ TEXT ]
Area [ REAL ]
Height [ REAL ]
Type [ TEXT ]
Longitude [ REAL ]
Latitude [ REAL ]
islandIn :
Island [ TEXT ]
Sea [ TEXT ]
Lake [ TEXT ]
River [ TEXT ]
isMember :
Country [ TEXT ]
Organization [ TEXT ]
Type [ TEXT ]
lake :
Name [ TEXT ] primary_key
Area [ REAL ]
Depth [ REAL ]
Altitude [ REAL ]
Type [ TEXT ]
River [ TEXT ]
Longitude [ REAL ]
Latitude [ REAL ]
language :
Country [ TEXT ]
Name [ TEXT ]
Percentage [ REAL ]
located :
City [ TEXT ]
Province [ TEXT ]
Country [ TEXT ]
River [ TEXT ]
Lake [ TEXT ]
Sea [ TEXT ]
locatedOn :
City [ TEXT ]
Province [ TEXT ]
Country [ TEXT ]
Island [ TEXT ]
mergesWith :
Sea1 [ TEXT ]
Sea2 [ TEXT ]
mountain :
Name [ TEXT ] primary_key
Mountains [ TEXT ]
Height [ REAL ]
Type [ TEXT ]
Longitude [ REAL ]
Latitude [ REAL ]
mountainOnIsland :
Mountain [ TEXT ]
Island [ TEXT ]
organization :
Abbreviation [ TEXT ] primary_key
Name [ TEXT ]
City [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
Established [ DATE ]
politics :
Country [ TEXT ] primary_key
Independence [ DATE ]
Dependent [ TEXT ]
Government [ TEXT ]
population :
Country [ TEXT ] primary_key
Population_Growth [ REAL ]
Infant_Mortality [ REAL ]
province :
Name [ TEXT ]
Country [ TEXT ]
Population [ INTEGER ]
Area [ REAL ]
Capital [ TEXT ]
CapProv [ TEXT ]
religion :
Country [ TEXT ]
Name [ TEXT ]
Percentage [ REAL ]
river :
Name [ TEXT ] primary_key
River [ TEXT ]
Lake [ TEXT ]
Sea [ TEXT ]
Length [ REAL ]
SourceLongitude [ REAL ]
SourceLatitude [ REAL ]
Mountains [ TEXT ]
SourceAltitude [ REAL ]
EstuaryLongitude [ REAL ]
EstuaryLatitude [ REAL ]
sea :
Name [ TEXT ] primary_key
Depth [ REAL ]
target :
Country [ TEXT ] primary_key
Target [ TEXT ]
Please write me a SQL statement that answers the following question: Which country has the lowest inflation rate? [/INST] | SELECT T1.Name FROM country AS T1 INNER JOIN economy AS T2 ON T1.Code = T2.Country WHERE T2.Inflation IS NOT NULL ORDER BY T2.Inflation ASC LIMIT 1; |
[INST] Here is a database schema:
borders :
Country1 [ TEXT ]
Country2 [ TEXT ]
Length [ REAL ]
city :
Name [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
Population [ INTEGER ]
Longitude [ REAL ]
Latitude [ REAL ]
continent :
Name [ TEXT ] primary_key
Area [ REAL ]
country :
Name [ TEXT ]
Code [ TEXT ] primary_key
Capital [ TEXT ]
Province [ TEXT ]
Area [ REAL ]
Population [ INTEGER ]
desert :
Name [ TEXT ] primary_key
Area [ REAL ]
Longitude [ REAL ]
Latitude [ REAL ]
economy :
Country [ TEXT ] primary_key
GDP [ REAL ]
Agriculture [ REAL ]
Service [ REAL ]
Industry [ REAL ]
Inflation [ REAL ]
encompasses :
Country [ TEXT ]
Continent [ TEXT ]
Percentage [ REAL ]
ethnicGroup :
Country [ TEXT ]
Name [ TEXT ]
Percentage [ REAL ]
geo_desert :
Desert [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_estuary :
River [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_island :
Island [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_lake :
Lake [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_mountain :
Mountain [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_river :
River [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_sea :
Sea [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_source :
River [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
island :
Name [ TEXT ] primary_key
Islands [ TEXT ]
Area [ REAL ]
Height [ REAL ]
Type [ TEXT ]
Longitude [ REAL ]
Latitude [ REAL ]
islandIn :
Island [ TEXT ]
Sea [ TEXT ]
Lake [ TEXT ]
River [ TEXT ]
isMember :
Country [ TEXT ]
Organization [ TEXT ]
Type [ TEXT ]
lake :
Name [ TEXT ] primary_key
Area [ REAL ]
Depth [ REAL ]
Altitude [ REAL ]
Type [ TEXT ]
River [ TEXT ]
Longitude [ REAL ]
Latitude [ REAL ]
language :
Country [ TEXT ]
Name [ TEXT ]
Percentage [ REAL ]
located :
City [ TEXT ]
Province [ TEXT ]
Country [ TEXT ]
River [ TEXT ]
Lake [ TEXT ]
Sea [ TEXT ]
locatedOn :
City [ TEXT ]
Province [ TEXT ]
Country [ TEXT ]
Island [ TEXT ]
mergesWith :
Sea1 [ TEXT ]
Sea2 [ TEXT ]
mountain :
Name [ TEXT ] primary_key
Mountains [ TEXT ]
Height [ REAL ]
Type [ TEXT ]
Longitude [ REAL ]
Latitude [ REAL ]
mountainOnIsland :
Mountain [ TEXT ]
Island [ TEXT ]
organization :
Abbreviation [ TEXT ] primary_key
Name [ TEXT ]
City [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
Established [ DATE ]
politics :
Country [ TEXT ] primary_key
Independence [ DATE ]
Dependent [ TEXT ]
Government [ TEXT ]
population :
Country [ TEXT ] primary_key
Population_Growth [ REAL ]
Infant_Mortality [ REAL ]
province :
Name [ TEXT ]
Country [ TEXT ]
Population [ INTEGER ]
Area [ REAL ]
Capital [ TEXT ]
CapProv [ TEXT ]
religion :
Country [ TEXT ]
Name [ TEXT ]
Percentage [ REAL ]
river :
Name [ TEXT ] primary_key
River [ TEXT ]
Lake [ TEXT ]
Sea [ TEXT ]
Length [ REAL ]
SourceLongitude [ REAL ]
SourceLatitude [ REAL ]
Mountains [ TEXT ]
SourceAltitude [ REAL ]
EstuaryLongitude [ REAL ]
EstuaryLatitude [ REAL ]
sea :
Name [ TEXT ] primary_key
Depth [ REAL ]
target :
Country [ TEXT ] primary_key
Target [ TEXT ]
Please write me a SQL statement that answers the following question: Among the countries whose agriculture percentage of the GDP is under 50%, how many of them have an area of over 8000000? [/INST] | SELECT COUNT(T1.Name) FROM country AS T1 INNER JOIN economy AS T2 ON T1.Code = T2.Country WHERE T2.Agriculture < 50 AND T1.Area > 8000000; |
[INST] Here is a database schema:
borders :
Country1 [ TEXT ]
Country2 [ TEXT ]
Length [ REAL ]
city :
Name [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
Population [ INTEGER ]
Longitude [ REAL ]
Latitude [ REAL ]
continent :
Name [ TEXT ] primary_key
Area [ REAL ]
country :
Name [ TEXT ]
Code [ TEXT ] primary_key
Capital [ TEXT ]
Province [ TEXT ]
Area [ REAL ]
Population [ INTEGER ]
desert :
Name [ TEXT ] primary_key
Area [ REAL ]
Longitude [ REAL ]
Latitude [ REAL ]
economy :
Country [ TEXT ] primary_key
GDP [ REAL ]
Agriculture [ REAL ]
Service [ REAL ]
Industry [ REAL ]
Inflation [ REAL ]
encompasses :
Country [ TEXT ]
Continent [ TEXT ]
Percentage [ REAL ]
ethnicGroup :
Country [ TEXT ]
Name [ TEXT ]
Percentage [ REAL ]
geo_desert :
Desert [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_estuary :
River [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_island :
Island [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_lake :
Lake [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_mountain :
Mountain [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_river :
River [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_sea :
Sea [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_source :
River [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
island :
Name [ TEXT ] primary_key
Islands [ TEXT ]
Area [ REAL ]
Height [ REAL ]
Type [ TEXT ]
Longitude [ REAL ]
Latitude [ REAL ]
islandIn :
Island [ TEXT ]
Sea [ TEXT ]
Lake [ TEXT ]
River [ TEXT ]
isMember :
Country [ TEXT ]
Organization [ TEXT ]
Type [ TEXT ]
lake :
Name [ TEXT ] primary_key
Area [ REAL ]
Depth [ REAL ]
Altitude [ REAL ]
Type [ TEXT ]
River [ TEXT ]
Longitude [ REAL ]
Latitude [ REAL ]
language :
Country [ TEXT ]
Name [ TEXT ]
Percentage [ REAL ]
located :
City [ TEXT ]
Province [ TEXT ]
Country [ TEXT ]
River [ TEXT ]
Lake [ TEXT ]
Sea [ TEXT ]
locatedOn :
City [ TEXT ]
Province [ TEXT ]
Country [ TEXT ]
Island [ TEXT ]
mergesWith :
Sea1 [ TEXT ]
Sea2 [ TEXT ]
mountain :
Name [ TEXT ] primary_key
Mountains [ TEXT ]
Height [ REAL ]
Type [ TEXT ]
Longitude [ REAL ]
Latitude [ REAL ]
mountainOnIsland :
Mountain [ TEXT ]
Island [ TEXT ]
organization :
Abbreviation [ TEXT ] primary_key
Name [ TEXT ]
City [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
Established [ DATE ]
politics :
Country [ TEXT ] primary_key
Independence [ DATE ]
Dependent [ TEXT ]
Government [ TEXT ]
population :
Country [ TEXT ] primary_key
Population_Growth [ REAL ]
Infant_Mortality [ REAL ]
province :
Name [ TEXT ]
Country [ TEXT ]
Population [ INTEGER ]
Area [ REAL ]
Capital [ TEXT ]
CapProv [ TEXT ]
religion :
Country [ TEXT ]
Name [ TEXT ]
Percentage [ REAL ]
river :
Name [ TEXT ] primary_key
River [ TEXT ]
Lake [ TEXT ]
Sea [ TEXT ]
Length [ REAL ]
SourceLongitude [ REAL ]
SourceLatitude [ REAL ]
Mountains [ TEXT ]
SourceAltitude [ REAL ]
EstuaryLongitude [ REAL ]
EstuaryLatitude [ REAL ]
sea :
Name [ TEXT ] primary_key
Depth [ REAL ]
target :
Country [ TEXT ] primary_key
Target [ TEXT ]
Please write me a SQL statement that answers the following question: How many cities have a salt lake located in it? [/INST] | SELECT COUNT(T1.City) FROM located AS T1 INNER JOIN lake AS T2 ON T1.Lake = T2.Name WHERE T2.Type = 'salt'; |
[INST] Here is a database schema:
borders :
Country1 [ TEXT ]
Country2 [ TEXT ]
Length [ REAL ]
city :
Name [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
Population [ INTEGER ]
Longitude [ REAL ]
Latitude [ REAL ]
continent :
Name [ TEXT ] primary_key
Area [ REAL ]
country :
Name [ TEXT ]
Code [ TEXT ] primary_key
Capital [ TEXT ]
Province [ TEXT ]
Area [ REAL ]
Population [ INTEGER ]
desert :
Name [ TEXT ] primary_key
Area [ REAL ]
Longitude [ REAL ]
Latitude [ REAL ]
economy :
Country [ TEXT ] primary_key
GDP [ REAL ]
Agriculture [ REAL ]
Service [ REAL ]
Industry [ REAL ]
Inflation [ REAL ]
encompasses :
Country [ TEXT ]
Continent [ TEXT ]
Percentage [ REAL ]
ethnicGroup :
Country [ TEXT ]
Name [ TEXT ]
Percentage [ REAL ]
geo_desert :
Desert [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_estuary :
River [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_island :
Island [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_lake :
Lake [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_mountain :
Mountain [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_river :
River [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_sea :
Sea [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_source :
River [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
island :
Name [ TEXT ] primary_key
Islands [ TEXT ]
Area [ REAL ]
Height [ REAL ]
Type [ TEXT ]
Longitude [ REAL ]
Latitude [ REAL ]
islandIn :
Island [ TEXT ]
Sea [ TEXT ]
Lake [ TEXT ]
River [ TEXT ]
isMember :
Country [ TEXT ]
Organization [ TEXT ]
Type [ TEXT ]
lake :
Name [ TEXT ] primary_key
Area [ REAL ]
Depth [ REAL ]
Altitude [ REAL ]
Type [ TEXT ]
River [ TEXT ]
Longitude [ REAL ]
Latitude [ REAL ]
language :
Country [ TEXT ]
Name [ TEXT ]
Percentage [ REAL ]
located :
City [ TEXT ]
Province [ TEXT ]
Country [ TEXT ]
River [ TEXT ]
Lake [ TEXT ]
Sea [ TEXT ]
locatedOn :
City [ TEXT ]
Province [ TEXT ]
Country [ TEXT ]
Island [ TEXT ]
mergesWith :
Sea1 [ TEXT ]
Sea2 [ TEXT ]
mountain :
Name [ TEXT ] primary_key
Mountains [ TEXT ]
Height [ REAL ]
Type [ TEXT ]
Longitude [ REAL ]
Latitude [ REAL ]
mountainOnIsland :
Mountain [ TEXT ]
Island [ TEXT ]
organization :
Abbreviation [ TEXT ] primary_key
Name [ TEXT ]
City [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
Established [ DATE ]
politics :
Country [ TEXT ] primary_key
Independence [ DATE ]
Dependent [ TEXT ]
Government [ TEXT ]
population :
Country [ TEXT ] primary_key
Population_Growth [ REAL ]
Infant_Mortality [ REAL ]
province :
Name [ TEXT ]
Country [ TEXT ]
Population [ INTEGER ]
Area [ REAL ]
Capital [ TEXT ]
CapProv [ TEXT ]
religion :
Country [ TEXT ]
Name [ TEXT ]
Percentage [ REAL ]
river :
Name [ TEXT ] primary_key
River [ TEXT ]
Lake [ TEXT ]
Sea [ TEXT ]
Length [ REAL ]
SourceLongitude [ REAL ]
SourceLatitude [ REAL ]
Mountains [ TEXT ]
SourceAltitude [ REAL ]
EstuaryLongitude [ REAL ]
EstuaryLatitude [ REAL ]
sea :
Name [ TEXT ] primary_key
Depth [ REAL ]
target :
Country [ TEXT ] primary_key
Target [ TEXT ]
Please write me a SQL statement that answers the following question: Please list the depth of the lakes that are located in the Province of Albania. [/INST] | SELECT T2.Depth FROM located AS T1 INNER JOIN lake AS T2 ON T1.Lake = T2.Name WHERE T1.Province = 'Albania'; |
[INST] Here is a database schema:
borders :
Country1 [ TEXT ]
Country2 [ TEXT ]
Length [ REAL ]
city :
Name [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
Population [ INTEGER ]
Longitude [ REAL ]
Latitude [ REAL ]
continent :
Name [ TEXT ] primary_key
Area [ REAL ]
country :
Name [ TEXT ]
Code [ TEXT ] primary_key
Capital [ TEXT ]
Province [ TEXT ]
Area [ REAL ]
Population [ INTEGER ]
desert :
Name [ TEXT ] primary_key
Area [ REAL ]
Longitude [ REAL ]
Latitude [ REAL ]
economy :
Country [ TEXT ] primary_key
GDP [ REAL ]
Agriculture [ REAL ]
Service [ REAL ]
Industry [ REAL ]
Inflation [ REAL ]
encompasses :
Country [ TEXT ]
Continent [ TEXT ]
Percentage [ REAL ]
ethnicGroup :
Country [ TEXT ]
Name [ TEXT ]
Percentage [ REAL ]
geo_desert :
Desert [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_estuary :
River [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_island :
Island [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_lake :
Lake [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_mountain :
Mountain [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_river :
River [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_sea :
Sea [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_source :
River [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
island :
Name [ TEXT ] primary_key
Islands [ TEXT ]
Area [ REAL ]
Height [ REAL ]
Type [ TEXT ]
Longitude [ REAL ]
Latitude [ REAL ]
islandIn :
Island [ TEXT ]
Sea [ TEXT ]
Lake [ TEXT ]
River [ TEXT ]
isMember :
Country [ TEXT ]
Organization [ TEXT ]
Type [ TEXT ]
lake :
Name [ TEXT ] primary_key
Area [ REAL ]
Depth [ REAL ]
Altitude [ REAL ]
Type [ TEXT ]
River [ TEXT ]
Longitude [ REAL ]
Latitude [ REAL ]
language :
Country [ TEXT ]
Name [ TEXT ]
Percentage [ REAL ]
located :
City [ TEXT ]
Province [ TEXT ]
Country [ TEXT ]
River [ TEXT ]
Lake [ TEXT ]
Sea [ TEXT ]
locatedOn :
City [ TEXT ]
Province [ TEXT ]
Country [ TEXT ]
Island [ TEXT ]
mergesWith :
Sea1 [ TEXT ]
Sea2 [ TEXT ]
mountain :
Name [ TEXT ] primary_key
Mountains [ TEXT ]
Height [ REAL ]
Type [ TEXT ]
Longitude [ REAL ]
Latitude [ REAL ]
mountainOnIsland :
Mountain [ TEXT ]
Island [ TEXT ]
organization :
Abbreviation [ TEXT ] primary_key
Name [ TEXT ]
City [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
Established [ DATE ]
politics :
Country [ TEXT ] primary_key
Independence [ DATE ]
Dependent [ TEXT ]
Government [ TEXT ]
population :
Country [ TEXT ] primary_key
Population_Growth [ REAL ]
Infant_Mortality [ REAL ]
province :
Name [ TEXT ]
Country [ TEXT ]
Population [ INTEGER ]
Area [ REAL ]
Capital [ TEXT ]
CapProv [ TEXT ]
religion :
Country [ TEXT ]
Name [ TEXT ]
Percentage [ REAL ]
river :
Name [ TEXT ] primary_key
River [ TEXT ]
Lake [ TEXT ]
Sea [ TEXT ]
Length [ REAL ]
SourceLongitude [ REAL ]
SourceLatitude [ REAL ]
Mountains [ TEXT ]
SourceAltitude [ REAL ]
EstuaryLongitude [ REAL ]
EstuaryLatitude [ REAL ]
sea :
Name [ TEXT ] primary_key
Depth [ REAL ]
target :
Country [ TEXT ] primary_key
Target [ TEXT ]
Please write me a SQL statement that answers the following question: The lake with the highest altitude is located in which city? [/INST] | SELECT T2.City FROM lake AS T1 LEFT JOIN located AS T2 ON T2.Lake = T1.Name ORDER BY T1.Altitude DESC LIMIT 1; |
[INST] Here is a database schema:
borders :
Country1 [ TEXT ]
Country2 [ TEXT ]
Length [ REAL ]
city :
Name [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
Population [ INTEGER ]
Longitude [ REAL ]
Latitude [ REAL ]
continent :
Name [ TEXT ] primary_key
Area [ REAL ]
country :
Name [ TEXT ]
Code [ TEXT ] primary_key
Capital [ TEXT ]
Province [ TEXT ]
Area [ REAL ]
Population [ INTEGER ]
desert :
Name [ TEXT ] primary_key
Area [ REAL ]
Longitude [ REAL ]
Latitude [ REAL ]
economy :
Country [ TEXT ] primary_key
GDP [ REAL ]
Agriculture [ REAL ]
Service [ REAL ]
Industry [ REAL ]
Inflation [ REAL ]
encompasses :
Country [ TEXT ]
Continent [ TEXT ]
Percentage [ REAL ]
ethnicGroup :
Country [ TEXT ]
Name [ TEXT ]
Percentage [ REAL ]
geo_desert :
Desert [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_estuary :
River [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_island :
Island [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_lake :
Lake [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_mountain :
Mountain [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_river :
River [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_sea :
Sea [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_source :
River [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
island :
Name [ TEXT ] primary_key
Islands [ TEXT ]
Area [ REAL ]
Height [ REAL ]
Type [ TEXT ]
Longitude [ REAL ]
Latitude [ REAL ]
islandIn :
Island [ TEXT ]
Sea [ TEXT ]
Lake [ TEXT ]
River [ TEXT ]
isMember :
Country [ TEXT ]
Organization [ TEXT ]
Type [ TEXT ]
lake :
Name [ TEXT ] primary_key
Area [ REAL ]
Depth [ REAL ]
Altitude [ REAL ]
Type [ TEXT ]
River [ TEXT ]
Longitude [ REAL ]
Latitude [ REAL ]
language :
Country [ TEXT ]
Name [ TEXT ]
Percentage [ REAL ]
located :
City [ TEXT ]
Province [ TEXT ]
Country [ TEXT ]
River [ TEXT ]
Lake [ TEXT ]
Sea [ TEXT ]
locatedOn :
City [ TEXT ]
Province [ TEXT ]
Country [ TEXT ]
Island [ TEXT ]
mergesWith :
Sea1 [ TEXT ]
Sea2 [ TEXT ]
mountain :
Name [ TEXT ] primary_key
Mountains [ TEXT ]
Height [ REAL ]
Type [ TEXT ]
Longitude [ REAL ]
Latitude [ REAL ]
mountainOnIsland :
Mountain [ TEXT ]
Island [ TEXT ]
organization :
Abbreviation [ TEXT ] primary_key
Name [ TEXT ]
City [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
Established [ DATE ]
politics :
Country [ TEXT ] primary_key
Independence [ DATE ]
Dependent [ TEXT ]
Government [ TEXT ]
population :
Country [ TEXT ] primary_key
Population_Growth [ REAL ]
Infant_Mortality [ REAL ]
province :
Name [ TEXT ]
Country [ TEXT ]
Population [ INTEGER ]
Area [ REAL ]
Capital [ TEXT ]
CapProv [ TEXT ]
religion :
Country [ TEXT ]
Name [ TEXT ]
Percentage [ REAL ]
river :
Name [ TEXT ] primary_key
River [ TEXT ]
Lake [ TEXT ]
Sea [ TEXT ]
Length [ REAL ]
SourceLongitude [ REAL ]
SourceLatitude [ REAL ]
Mountains [ TEXT ]
SourceAltitude [ REAL ]
EstuaryLongitude [ REAL ]
EstuaryLatitude [ REAL ]
sea :
Name [ TEXT ] primary_key
Depth [ REAL ]
target :
Country [ TEXT ] primary_key
Target [ TEXT ]
Please write me a SQL statement that answers the following question: How many lakes in the Canary Islands cover an area of over 1000000? [/INST] | SELECT COUNT(T2.Name) FROM located AS T1 INNER JOIN lake AS T2 ON T1.Lake = T2.Name WHERE T1.Province = 'Canary Islands' AND T2.Area > 1000000; |
[INST] Here is a database schema:
borders :
Country1 [ TEXT ]
Country2 [ TEXT ]
Length [ REAL ]
city :
Name [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
Population [ INTEGER ]
Longitude [ REAL ]
Latitude [ REAL ]
continent :
Name [ TEXT ] primary_key
Area [ REAL ]
country :
Name [ TEXT ]
Code [ TEXT ] primary_key
Capital [ TEXT ]
Province [ TEXT ]
Area [ REAL ]
Population [ INTEGER ]
desert :
Name [ TEXT ] primary_key
Area [ REAL ]
Longitude [ REAL ]
Latitude [ REAL ]
economy :
Country [ TEXT ] primary_key
GDP [ REAL ]
Agriculture [ REAL ]
Service [ REAL ]
Industry [ REAL ]
Inflation [ REAL ]
encompasses :
Country [ TEXT ]
Continent [ TEXT ]
Percentage [ REAL ]
ethnicGroup :
Country [ TEXT ]
Name [ TEXT ]
Percentage [ REAL ]
geo_desert :
Desert [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_estuary :
River [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_island :
Island [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_lake :
Lake [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_mountain :
Mountain [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_river :
River [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_sea :
Sea [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_source :
River [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
island :
Name [ TEXT ] primary_key
Islands [ TEXT ]
Area [ REAL ]
Height [ REAL ]
Type [ TEXT ]
Longitude [ REAL ]
Latitude [ REAL ]
islandIn :
Island [ TEXT ]
Sea [ TEXT ]
Lake [ TEXT ]
River [ TEXT ]
isMember :
Country [ TEXT ]
Organization [ TEXT ]
Type [ TEXT ]
lake :
Name [ TEXT ] primary_key
Area [ REAL ]
Depth [ REAL ]
Altitude [ REAL ]
Type [ TEXT ]
River [ TEXT ]
Longitude [ REAL ]
Latitude [ REAL ]
language :
Country [ TEXT ]
Name [ TEXT ]
Percentage [ REAL ]
located :
City [ TEXT ]
Province [ TEXT ]
Country [ TEXT ]
River [ TEXT ]
Lake [ TEXT ]
Sea [ TEXT ]
locatedOn :
City [ TEXT ]
Province [ TEXT ]
Country [ TEXT ]
Island [ TEXT ]
mergesWith :
Sea1 [ TEXT ]
Sea2 [ TEXT ]
mountain :
Name [ TEXT ] primary_key
Mountains [ TEXT ]
Height [ REAL ]
Type [ TEXT ]
Longitude [ REAL ]
Latitude [ REAL ]
mountainOnIsland :
Mountain [ TEXT ]
Island [ TEXT ]
organization :
Abbreviation [ TEXT ] primary_key
Name [ TEXT ]
City [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
Established [ DATE ]
politics :
Country [ TEXT ] primary_key
Independence [ DATE ]
Dependent [ TEXT ]
Government [ TEXT ]
population :
Country [ TEXT ] primary_key
Population_Growth [ REAL ]
Infant_Mortality [ REAL ]
province :
Name [ TEXT ]
Country [ TEXT ]
Population [ INTEGER ]
Area [ REAL ]
Capital [ TEXT ]
CapProv [ TEXT ]
religion :
Country [ TEXT ]
Name [ TEXT ]
Percentage [ REAL ]
river :
Name [ TEXT ] primary_key
River [ TEXT ]
Lake [ TEXT ]
Sea [ TEXT ]
Length [ REAL ]
SourceLongitude [ REAL ]
SourceLatitude [ REAL ]
Mountains [ TEXT ]
SourceAltitude [ REAL ]
EstuaryLongitude [ REAL ]
EstuaryLatitude [ REAL ]
sea :
Name [ TEXT ] primary_key
Depth [ REAL ]
target :
Country [ TEXT ] primary_key
Target [ TEXT ]
Please write me a SQL statement that answers the following question: Which country has the most languages spoken? [/INST] | SELECT T1.Name FROM country AS T1 INNER JOIN language AS T2 ON T1.Code = T2.Country GROUP BY T1.Name ORDER BY COUNT(T2.Name) DESC LIMIT 1; |
[INST] Here is a database schema:
borders :
Country1 [ TEXT ]
Country2 [ TEXT ]
Length [ REAL ]
city :
Name [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
Population [ INTEGER ]
Longitude [ REAL ]
Latitude [ REAL ]
continent :
Name [ TEXT ] primary_key
Area [ REAL ]
country :
Name [ TEXT ]
Code [ TEXT ] primary_key
Capital [ TEXT ]
Province [ TEXT ]
Area [ REAL ]
Population [ INTEGER ]
desert :
Name [ TEXT ] primary_key
Area [ REAL ]
Longitude [ REAL ]
Latitude [ REAL ]
economy :
Country [ TEXT ] primary_key
GDP [ REAL ]
Agriculture [ REAL ]
Service [ REAL ]
Industry [ REAL ]
Inflation [ REAL ]
encompasses :
Country [ TEXT ]
Continent [ TEXT ]
Percentage [ REAL ]
ethnicGroup :
Country [ TEXT ]
Name [ TEXT ]
Percentage [ REAL ]
geo_desert :
Desert [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_estuary :
River [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_island :
Island [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_lake :
Lake [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_mountain :
Mountain [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_river :
River [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_sea :
Sea [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_source :
River [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
island :
Name [ TEXT ] primary_key
Islands [ TEXT ]
Area [ REAL ]
Height [ REAL ]
Type [ TEXT ]
Longitude [ REAL ]
Latitude [ REAL ]
islandIn :
Island [ TEXT ]
Sea [ TEXT ]
Lake [ TEXT ]
River [ TEXT ]
isMember :
Country [ TEXT ]
Organization [ TEXT ]
Type [ TEXT ]
lake :
Name [ TEXT ] primary_key
Area [ REAL ]
Depth [ REAL ]
Altitude [ REAL ]
Type [ TEXT ]
River [ TEXT ]
Longitude [ REAL ]
Latitude [ REAL ]
language :
Country [ TEXT ]
Name [ TEXT ]
Percentage [ REAL ]
located :
City [ TEXT ]
Province [ TEXT ]
Country [ TEXT ]
River [ TEXT ]
Lake [ TEXT ]
Sea [ TEXT ]
locatedOn :
City [ TEXT ]
Province [ TEXT ]
Country [ TEXT ]
Island [ TEXT ]
mergesWith :
Sea1 [ TEXT ]
Sea2 [ TEXT ]
mountain :
Name [ TEXT ] primary_key
Mountains [ TEXT ]
Height [ REAL ]
Type [ TEXT ]
Longitude [ REAL ]
Latitude [ REAL ]
mountainOnIsland :
Mountain [ TEXT ]
Island [ TEXT ]
organization :
Abbreviation [ TEXT ] primary_key
Name [ TEXT ]
City [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
Established [ DATE ]
politics :
Country [ TEXT ] primary_key
Independence [ DATE ]
Dependent [ TEXT ]
Government [ TEXT ]
population :
Country [ TEXT ] primary_key
Population_Growth [ REAL ]
Infant_Mortality [ REAL ]
province :
Name [ TEXT ]
Country [ TEXT ]
Population [ INTEGER ]
Area [ REAL ]
Capital [ TEXT ]
CapProv [ TEXT ]
religion :
Country [ TEXT ]
Name [ TEXT ]
Percentage [ REAL ]
river :
Name [ TEXT ] primary_key
River [ TEXT ]
Lake [ TEXT ]
Sea [ TEXT ]
Length [ REAL ]
SourceLongitude [ REAL ]
SourceLatitude [ REAL ]
Mountains [ TEXT ]
SourceAltitude [ REAL ]
EstuaryLongitude [ REAL ]
EstuaryLatitude [ REAL ]
sea :
Name [ TEXT ] primary_key
Depth [ REAL ]
target :
Country [ TEXT ] primary_key
Target [ TEXT ]
Please write me a SQL statement that answers the following question: What is the capital city of the country that has the percentage of Armenian speakers over 90%? [/INST] | SELECT T1.Capital FROM country AS T1 INNER JOIN language AS T2 ON T1.Code = T2.Country WHERE T2.Name = 'Armenian' AND T2.Percentage > 90; |
[INST] Here is a database schema:
borders :
Country1 [ TEXT ]
Country2 [ TEXT ]
Length [ REAL ]
city :
Name [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
Population [ INTEGER ]
Longitude [ REAL ]
Latitude [ REAL ]
continent :
Name [ TEXT ] primary_key
Area [ REAL ]
country :
Name [ TEXT ]
Code [ TEXT ] primary_key
Capital [ TEXT ]
Province [ TEXT ]
Area [ REAL ]
Population [ INTEGER ]
desert :
Name [ TEXT ] primary_key
Area [ REAL ]
Longitude [ REAL ]
Latitude [ REAL ]
economy :
Country [ TEXT ] primary_key
GDP [ REAL ]
Agriculture [ REAL ]
Service [ REAL ]
Industry [ REAL ]
Inflation [ REAL ]
encompasses :
Country [ TEXT ]
Continent [ TEXT ]
Percentage [ REAL ]
ethnicGroup :
Country [ TEXT ]
Name [ TEXT ]
Percentage [ REAL ]
geo_desert :
Desert [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_estuary :
River [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_island :
Island [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_lake :
Lake [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_mountain :
Mountain [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_river :
River [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_sea :
Sea [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_source :
River [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
island :
Name [ TEXT ] primary_key
Islands [ TEXT ]
Area [ REAL ]
Height [ REAL ]
Type [ TEXT ]
Longitude [ REAL ]
Latitude [ REAL ]
islandIn :
Island [ TEXT ]
Sea [ TEXT ]
Lake [ TEXT ]
River [ TEXT ]
isMember :
Country [ TEXT ]
Organization [ TEXT ]
Type [ TEXT ]
lake :
Name [ TEXT ] primary_key
Area [ REAL ]
Depth [ REAL ]
Altitude [ REAL ]
Type [ TEXT ]
River [ TEXT ]
Longitude [ REAL ]
Latitude [ REAL ]
language :
Country [ TEXT ]
Name [ TEXT ]
Percentage [ REAL ]
located :
City [ TEXT ]
Province [ TEXT ]
Country [ TEXT ]
River [ TEXT ]
Lake [ TEXT ]
Sea [ TEXT ]
locatedOn :
City [ TEXT ]
Province [ TEXT ]
Country [ TEXT ]
Island [ TEXT ]
mergesWith :
Sea1 [ TEXT ]
Sea2 [ TEXT ]
mountain :
Name [ TEXT ] primary_key
Mountains [ TEXT ]
Height [ REAL ]
Type [ TEXT ]
Longitude [ REAL ]
Latitude [ REAL ]
mountainOnIsland :
Mountain [ TEXT ]
Island [ TEXT ]
organization :
Abbreviation [ TEXT ] primary_key
Name [ TEXT ]
City [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
Established [ DATE ]
politics :
Country [ TEXT ] primary_key
Independence [ DATE ]
Dependent [ TEXT ]
Government [ TEXT ]
population :
Country [ TEXT ] primary_key
Population_Growth [ REAL ]
Infant_Mortality [ REAL ]
province :
Name [ TEXT ]
Country [ TEXT ]
Population [ INTEGER ]
Area [ REAL ]
Capital [ TEXT ]
CapProv [ TEXT ]
religion :
Country [ TEXT ]
Name [ TEXT ]
Percentage [ REAL ]
river :
Name [ TEXT ] primary_key
River [ TEXT ]
Lake [ TEXT ]
Sea [ TEXT ]
Length [ REAL ]
SourceLongitude [ REAL ]
SourceLatitude [ REAL ]
Mountains [ TEXT ]
SourceAltitude [ REAL ]
EstuaryLongitude [ REAL ]
EstuaryLatitude [ REAL ]
sea :
Name [ TEXT ] primary_key
Depth [ REAL ]
target :
Country [ TEXT ] primary_key
Target [ TEXT ]
Please write me a SQL statement that answers the following question: Among the countries with a population of under 1000000, how many of them have over 2 languages? [/INST] | SELECT T2.Country FROM country AS T1 INNER JOIN language AS T2 ON T1.Code = T2.Country WHERE T1.Population < 1000000 GROUP BY T2.Country HAVING COUNT(T1.Name) > 2; |
[INST] Here is a database schema:
borders :
Country1 [ TEXT ]
Country2 [ TEXT ]
Length [ REAL ]
city :
Name [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
Population [ INTEGER ]
Longitude [ REAL ]
Latitude [ REAL ]
continent :
Name [ TEXT ] primary_key
Area [ REAL ]
country :
Name [ TEXT ]
Code [ TEXT ] primary_key
Capital [ TEXT ]
Province [ TEXT ]
Area [ REAL ]
Population [ INTEGER ]
desert :
Name [ TEXT ] primary_key
Area [ REAL ]
Longitude [ REAL ]
Latitude [ REAL ]
economy :
Country [ TEXT ] primary_key
GDP [ REAL ]
Agriculture [ REAL ]
Service [ REAL ]
Industry [ REAL ]
Inflation [ REAL ]
encompasses :
Country [ TEXT ]
Continent [ TEXT ]
Percentage [ REAL ]
ethnicGroup :
Country [ TEXT ]
Name [ TEXT ]
Percentage [ REAL ]
geo_desert :
Desert [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_estuary :
River [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_island :
Island [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_lake :
Lake [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_mountain :
Mountain [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_river :
River [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_sea :
Sea [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_source :
River [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
island :
Name [ TEXT ] primary_key
Islands [ TEXT ]
Area [ REAL ]
Height [ REAL ]
Type [ TEXT ]
Longitude [ REAL ]
Latitude [ REAL ]
islandIn :
Island [ TEXT ]
Sea [ TEXT ]
Lake [ TEXT ]
River [ TEXT ]
isMember :
Country [ TEXT ]
Organization [ TEXT ]
Type [ TEXT ]
lake :
Name [ TEXT ] primary_key
Area [ REAL ]
Depth [ REAL ]
Altitude [ REAL ]
Type [ TEXT ]
River [ TEXT ]
Longitude [ REAL ]
Latitude [ REAL ]
language :
Country [ TEXT ]
Name [ TEXT ]
Percentage [ REAL ]
located :
City [ TEXT ]
Province [ TEXT ]
Country [ TEXT ]
River [ TEXT ]
Lake [ TEXT ]
Sea [ TEXT ]
locatedOn :
City [ TEXT ]
Province [ TEXT ]
Country [ TEXT ]
Island [ TEXT ]
mergesWith :
Sea1 [ TEXT ]
Sea2 [ TEXT ]
mountain :
Name [ TEXT ] primary_key
Mountains [ TEXT ]
Height [ REAL ]
Type [ TEXT ]
Longitude [ REAL ]
Latitude [ REAL ]
mountainOnIsland :
Mountain [ TEXT ]
Island [ TEXT ]
organization :
Abbreviation [ TEXT ] primary_key
Name [ TEXT ]
City [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
Established [ DATE ]
politics :
Country [ TEXT ] primary_key
Independence [ DATE ]
Dependent [ TEXT ]
Government [ TEXT ]
population :
Country [ TEXT ] primary_key
Population_Growth [ REAL ]
Infant_Mortality [ REAL ]
province :
Name [ TEXT ]
Country [ TEXT ]
Population [ INTEGER ]
Area [ REAL ]
Capital [ TEXT ]
CapProv [ TEXT ]
religion :
Country [ TEXT ]
Name [ TEXT ]
Percentage [ REAL ]
river :
Name [ TEXT ] primary_key
River [ TEXT ]
Lake [ TEXT ]
Sea [ TEXT ]
Length [ REAL ]
SourceLongitude [ REAL ]
SourceLatitude [ REAL ]
Mountains [ TEXT ]
SourceAltitude [ REAL ]
EstuaryLongitude [ REAL ]
EstuaryLatitude [ REAL ]
sea :
Name [ TEXT ] primary_key
Depth [ REAL ]
target :
Country [ TEXT ] primary_key
Target [ TEXT ]
Please write me a SQL statement that answers the following question: How many organizations are founded in countries with a population of under 1000000? [/INST] | SELECT COUNT(T2.Name) FROM country AS T1 INNER JOIN organization AS T2 ON T1.Code = T2.Country WHERE T1.Population < 1000000; |
[INST] Here is a database schema:
borders :
Country1 [ TEXT ]
Country2 [ TEXT ]
Length [ REAL ]
city :
Name [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
Population [ INTEGER ]
Longitude [ REAL ]
Latitude [ REAL ]
continent :
Name [ TEXT ] primary_key
Area [ REAL ]
country :
Name [ TEXT ]
Code [ TEXT ] primary_key
Capital [ TEXT ]
Province [ TEXT ]
Area [ REAL ]
Population [ INTEGER ]
desert :
Name [ TEXT ] primary_key
Area [ REAL ]
Longitude [ REAL ]
Latitude [ REAL ]
economy :
Country [ TEXT ] primary_key
GDP [ REAL ]
Agriculture [ REAL ]
Service [ REAL ]
Industry [ REAL ]
Inflation [ REAL ]
encompasses :
Country [ TEXT ]
Continent [ TEXT ]
Percentage [ REAL ]
ethnicGroup :
Country [ TEXT ]
Name [ TEXT ]
Percentage [ REAL ]
geo_desert :
Desert [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_estuary :
River [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_island :
Island [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_lake :
Lake [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_mountain :
Mountain [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_river :
River [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_sea :
Sea [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_source :
River [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
island :
Name [ TEXT ] primary_key
Islands [ TEXT ]
Area [ REAL ]
Height [ REAL ]
Type [ TEXT ]
Longitude [ REAL ]
Latitude [ REAL ]
islandIn :
Island [ TEXT ]
Sea [ TEXT ]
Lake [ TEXT ]
River [ TEXT ]
isMember :
Country [ TEXT ]
Organization [ TEXT ]
Type [ TEXT ]
lake :
Name [ TEXT ] primary_key
Area [ REAL ]
Depth [ REAL ]
Altitude [ REAL ]
Type [ TEXT ]
River [ TEXT ]
Longitude [ REAL ]
Latitude [ REAL ]
language :
Country [ TEXT ]
Name [ TEXT ]
Percentage [ REAL ]
located :
City [ TEXT ]
Province [ TEXT ]
Country [ TEXT ]
River [ TEXT ]
Lake [ TEXT ]
Sea [ TEXT ]
locatedOn :
City [ TEXT ]
Province [ TEXT ]
Country [ TEXT ]
Island [ TEXT ]
mergesWith :
Sea1 [ TEXT ]
Sea2 [ TEXT ]
mountain :
Name [ TEXT ] primary_key
Mountains [ TEXT ]
Height [ REAL ]
Type [ TEXT ]
Longitude [ REAL ]
Latitude [ REAL ]
mountainOnIsland :
Mountain [ TEXT ]
Island [ TEXT ]
organization :
Abbreviation [ TEXT ] primary_key
Name [ TEXT ]
City [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
Established [ DATE ]
politics :
Country [ TEXT ] primary_key
Independence [ DATE ]
Dependent [ TEXT ]
Government [ TEXT ]
population :
Country [ TEXT ] primary_key
Population_Growth [ REAL ]
Infant_Mortality [ REAL ]
province :
Name [ TEXT ]
Country [ TEXT ]
Population [ INTEGER ]
Area [ REAL ]
Capital [ TEXT ]
CapProv [ TEXT ]
religion :
Country [ TEXT ]
Name [ TEXT ]
Percentage [ REAL ]
river :
Name [ TEXT ] primary_key
River [ TEXT ]
Lake [ TEXT ]
Sea [ TEXT ]
Length [ REAL ]
SourceLongitude [ REAL ]
SourceLatitude [ REAL ]
Mountains [ TEXT ]
SourceAltitude [ REAL ]
EstuaryLongitude [ REAL ]
EstuaryLatitude [ REAL ]
sea :
Name [ TEXT ] primary_key
Depth [ REAL ]
target :
Country [ TEXT ] primary_key
Target [ TEXT ]
Please write me a SQL statement that answers the following question: How many organizations are established after 1999/1/1 in a country whose GDP is under 500000? [/INST] | SELECT T1.Country, COUNT(T1.Country) FROM economy AS T1 INNER JOIN organization AS T2 ON T1.Country = T2.Country WHERE T1.GDP < 500000 AND STRFTIME('%Y', T2.Established) < '1999' GROUP BY T1.Country; |
[INST] Here is a database schema:
borders :
Country1 [ TEXT ]
Country2 [ TEXT ]
Length [ REAL ]
city :
Name [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
Population [ INTEGER ]
Longitude [ REAL ]
Latitude [ REAL ]
continent :
Name [ TEXT ] primary_key
Area [ REAL ]
country :
Name [ TEXT ]
Code [ TEXT ] primary_key
Capital [ TEXT ]
Province [ TEXT ]
Area [ REAL ]
Population [ INTEGER ]
desert :
Name [ TEXT ] primary_key
Area [ REAL ]
Longitude [ REAL ]
Latitude [ REAL ]
economy :
Country [ TEXT ] primary_key
GDP [ REAL ]
Agriculture [ REAL ]
Service [ REAL ]
Industry [ REAL ]
Inflation [ REAL ]
encompasses :
Country [ TEXT ]
Continent [ TEXT ]
Percentage [ REAL ]
ethnicGroup :
Country [ TEXT ]
Name [ TEXT ]
Percentage [ REAL ]
geo_desert :
Desert [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_estuary :
River [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_island :
Island [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_lake :
Lake [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_mountain :
Mountain [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_river :
River [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_sea :
Sea [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_source :
River [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
island :
Name [ TEXT ] primary_key
Islands [ TEXT ]
Area [ REAL ]
Height [ REAL ]
Type [ TEXT ]
Longitude [ REAL ]
Latitude [ REAL ]
islandIn :
Island [ TEXT ]
Sea [ TEXT ]
Lake [ TEXT ]
River [ TEXT ]
isMember :
Country [ TEXT ]
Organization [ TEXT ]
Type [ TEXT ]
lake :
Name [ TEXT ] primary_key
Area [ REAL ]
Depth [ REAL ]
Altitude [ REAL ]
Type [ TEXT ]
River [ TEXT ]
Longitude [ REAL ]
Latitude [ REAL ]
language :
Country [ TEXT ]
Name [ TEXT ]
Percentage [ REAL ]
located :
City [ TEXT ]
Province [ TEXT ]
Country [ TEXT ]
River [ TEXT ]
Lake [ TEXT ]
Sea [ TEXT ]
locatedOn :
City [ TEXT ]
Province [ TEXT ]
Country [ TEXT ]
Island [ TEXT ]
mergesWith :
Sea1 [ TEXT ]
Sea2 [ TEXT ]
mountain :
Name [ TEXT ] primary_key
Mountains [ TEXT ]
Height [ REAL ]
Type [ TEXT ]
Longitude [ REAL ]
Latitude [ REAL ]
mountainOnIsland :
Mountain [ TEXT ]
Island [ TEXT ]
organization :
Abbreviation [ TEXT ] primary_key
Name [ TEXT ]
City [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
Established [ DATE ]
politics :
Country [ TEXT ] primary_key
Independence [ DATE ]
Dependent [ TEXT ]
Government [ TEXT ]
population :
Country [ TEXT ] primary_key
Population_Growth [ REAL ]
Infant_Mortality [ REAL ]
province :
Name [ TEXT ]
Country [ TEXT ]
Population [ INTEGER ]
Area [ REAL ]
Capital [ TEXT ]
CapProv [ TEXT ]
religion :
Country [ TEXT ]
Name [ TEXT ]
Percentage [ REAL ]
river :
Name [ TEXT ] primary_key
River [ TEXT ]
Lake [ TEXT ]
Sea [ TEXT ]
Length [ REAL ]
SourceLongitude [ REAL ]
SourceLatitude [ REAL ]
Mountains [ TEXT ]
SourceAltitude [ REAL ]
EstuaryLongitude [ REAL ]
EstuaryLatitude [ REAL ]
sea :
Name [ TEXT ] primary_key
Depth [ REAL ]
target :
Country [ TEXT ] primary_key
Target [ TEXT ]
Please write me a SQL statement that answers the following question: Among the countries with over 3 organizations, how many of them have an inflation rate of over 5%? [/INST] | SELECT COUNT(T2.Country) FROM economy AS T1 INNER JOIN organization AS T2 ON T1.Country = T2.Country WHERE T2.Country IN ( SELECT Country FROM organization GROUP BY Country HAVING COUNT(Country) > 3 ) AND T1.Inflation > 5; |
[INST] Here is a database schema:
borders :
Country1 [ TEXT ]
Country2 [ TEXT ]
Length [ REAL ]
city :
Name [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
Population [ INTEGER ]
Longitude [ REAL ]
Latitude [ REAL ]
continent :
Name [ TEXT ] primary_key
Area [ REAL ]
country :
Name [ TEXT ]
Code [ TEXT ] primary_key
Capital [ TEXT ]
Province [ TEXT ]
Area [ REAL ]
Population [ INTEGER ]
desert :
Name [ TEXT ] primary_key
Area [ REAL ]
Longitude [ REAL ]
Latitude [ REAL ]
economy :
Country [ TEXT ] primary_key
GDP [ REAL ]
Agriculture [ REAL ]
Service [ REAL ]
Industry [ REAL ]
Inflation [ REAL ]
encompasses :
Country [ TEXT ]
Continent [ TEXT ]
Percentage [ REAL ]
ethnicGroup :
Country [ TEXT ]
Name [ TEXT ]
Percentage [ REAL ]
geo_desert :
Desert [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_estuary :
River [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_island :
Island [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_lake :
Lake [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_mountain :
Mountain [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_river :
River [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_sea :
Sea [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_source :
River [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
island :
Name [ TEXT ] primary_key
Islands [ TEXT ]
Area [ REAL ]
Height [ REAL ]
Type [ TEXT ]
Longitude [ REAL ]
Latitude [ REAL ]
islandIn :
Island [ TEXT ]
Sea [ TEXT ]
Lake [ TEXT ]
River [ TEXT ]
isMember :
Country [ TEXT ]
Organization [ TEXT ]
Type [ TEXT ]
lake :
Name [ TEXT ] primary_key
Area [ REAL ]
Depth [ REAL ]
Altitude [ REAL ]
Type [ TEXT ]
River [ TEXT ]
Longitude [ REAL ]
Latitude [ REAL ]
language :
Country [ TEXT ]
Name [ TEXT ]
Percentage [ REAL ]
located :
City [ TEXT ]
Province [ TEXT ]
Country [ TEXT ]
River [ TEXT ]
Lake [ TEXT ]
Sea [ TEXT ]
locatedOn :
City [ TEXT ]
Province [ TEXT ]
Country [ TEXT ]
Island [ TEXT ]
mergesWith :
Sea1 [ TEXT ]
Sea2 [ TEXT ]
mountain :
Name [ TEXT ] primary_key
Mountains [ TEXT ]
Height [ REAL ]
Type [ TEXT ]
Longitude [ REAL ]
Latitude [ REAL ]
mountainOnIsland :
Mountain [ TEXT ]
Island [ TEXT ]
organization :
Abbreviation [ TEXT ] primary_key
Name [ TEXT ]
City [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
Established [ DATE ]
politics :
Country [ TEXT ] primary_key
Independence [ DATE ]
Dependent [ TEXT ]
Government [ TEXT ]
population :
Country [ TEXT ] primary_key
Population_Growth [ REAL ]
Infant_Mortality [ REAL ]
province :
Name [ TEXT ]
Country [ TEXT ]
Population [ INTEGER ]
Area [ REAL ]
Capital [ TEXT ]
CapProv [ TEXT ]
religion :
Country [ TEXT ]
Name [ TEXT ]
Percentage [ REAL ]
river :
Name [ TEXT ] primary_key
River [ TEXT ]
Lake [ TEXT ]
Sea [ TEXT ]
Length [ REAL ]
SourceLongitude [ REAL ]
SourceLatitude [ REAL ]
Mountains [ TEXT ]
SourceAltitude [ REAL ]
EstuaryLongitude [ REAL ]
EstuaryLatitude [ REAL ]
sea :
Name [ TEXT ] primary_key
Depth [ REAL ]
target :
Country [ TEXT ] primary_key
Target [ TEXT ]
Please write me a SQL statement that answers the following question: How many organizations are established in the country with the most ethnic groups? [/INST] | SELECT COUNT(T2.Province) FROM country AS T1 INNER JOIN organization AS T2 ON T1.Code = T2.Country INNER JOIN ethnicGroup AS T3 ON T3.Country = T2.Country GROUP BY T1.Name ORDER BY COUNT(T3.Name) DESC LIMIT 1; |
[INST] Here is a database schema:
borders :
Country1 [ TEXT ]
Country2 [ TEXT ]
Length [ REAL ]
city :
Name [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
Population [ INTEGER ]
Longitude [ REAL ]
Latitude [ REAL ]
continent :
Name [ TEXT ] primary_key
Area [ REAL ]
country :
Name [ TEXT ]
Code [ TEXT ] primary_key
Capital [ TEXT ]
Province [ TEXT ]
Area [ REAL ]
Population [ INTEGER ]
desert :
Name [ TEXT ] primary_key
Area [ REAL ]
Longitude [ REAL ]
Latitude [ REAL ]
economy :
Country [ TEXT ] primary_key
GDP [ REAL ]
Agriculture [ REAL ]
Service [ REAL ]
Industry [ REAL ]
Inflation [ REAL ]
encompasses :
Country [ TEXT ]
Continent [ TEXT ]
Percentage [ REAL ]
ethnicGroup :
Country [ TEXT ]
Name [ TEXT ]
Percentage [ REAL ]
geo_desert :
Desert [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_estuary :
River [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_island :
Island [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_lake :
Lake [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_mountain :
Mountain [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_river :
River [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_sea :
Sea [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_source :
River [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
island :
Name [ TEXT ] primary_key
Islands [ TEXT ]
Area [ REAL ]
Height [ REAL ]
Type [ TEXT ]
Longitude [ REAL ]
Latitude [ REAL ]
islandIn :
Island [ TEXT ]
Sea [ TEXT ]
Lake [ TEXT ]
River [ TEXT ]
isMember :
Country [ TEXT ]
Organization [ TEXT ]
Type [ TEXT ]
lake :
Name [ TEXT ] primary_key
Area [ REAL ]
Depth [ REAL ]
Altitude [ REAL ]
Type [ TEXT ]
River [ TEXT ]
Longitude [ REAL ]
Latitude [ REAL ]
language :
Country [ TEXT ]
Name [ TEXT ]
Percentage [ REAL ]
located :
City [ TEXT ]
Province [ TEXT ]
Country [ TEXT ]
River [ TEXT ]
Lake [ TEXT ]
Sea [ TEXT ]
locatedOn :
City [ TEXT ]
Province [ TEXT ]
Country [ TEXT ]
Island [ TEXT ]
mergesWith :
Sea1 [ TEXT ]
Sea2 [ TEXT ]
mountain :
Name [ TEXT ] primary_key
Mountains [ TEXT ]
Height [ REAL ]
Type [ TEXT ]
Longitude [ REAL ]
Latitude [ REAL ]
mountainOnIsland :
Mountain [ TEXT ]
Island [ TEXT ]
organization :
Abbreviation [ TEXT ] primary_key
Name [ TEXT ]
City [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
Established [ DATE ]
politics :
Country [ TEXT ] primary_key
Independence [ DATE ]
Dependent [ TEXT ]
Government [ TEXT ]
population :
Country [ TEXT ] primary_key
Population_Growth [ REAL ]
Infant_Mortality [ REAL ]
province :
Name [ TEXT ]
Country [ TEXT ]
Population [ INTEGER ]
Area [ REAL ]
Capital [ TEXT ]
CapProv [ TEXT ]
religion :
Country [ TEXT ]
Name [ TEXT ]
Percentage [ REAL ]
river :
Name [ TEXT ] primary_key
River [ TEXT ]
Lake [ TEXT ]
Sea [ TEXT ]
Length [ REAL ]
SourceLongitude [ REAL ]
SourceLatitude [ REAL ]
Mountains [ TEXT ]
SourceAltitude [ REAL ]
EstuaryLongitude [ REAL ]
EstuaryLatitude [ REAL ]
sea :
Name [ TEXT ] primary_key
Depth [ REAL ]
target :
Country [ TEXT ] primary_key
Target [ TEXT ]
Please write me a SQL statement that answers the following question: Please list the organization names established in the countries where Dutch is spoken. [/INST] | SELECT T2.Name FROM language AS T1 INNER JOIN organization AS T2 ON T1.Country = T2.Country WHERE T1.Name = 'Dutch'; |
[INST] Here is a database schema:
borders :
Country1 [ TEXT ]
Country2 [ TEXT ]
Length [ REAL ]
city :
Name [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
Population [ INTEGER ]
Longitude [ REAL ]
Latitude [ REAL ]
continent :
Name [ TEXT ] primary_key
Area [ REAL ]
country :
Name [ TEXT ]
Code [ TEXT ] primary_key
Capital [ TEXT ]
Province [ TEXT ]
Area [ REAL ]
Population [ INTEGER ]
desert :
Name [ TEXT ] primary_key
Area [ REAL ]
Longitude [ REAL ]
Latitude [ REAL ]
economy :
Country [ TEXT ] primary_key
GDP [ REAL ]
Agriculture [ REAL ]
Service [ REAL ]
Industry [ REAL ]
Inflation [ REAL ]
encompasses :
Country [ TEXT ]
Continent [ TEXT ]
Percentage [ REAL ]
ethnicGroup :
Country [ TEXT ]
Name [ TEXT ]
Percentage [ REAL ]
geo_desert :
Desert [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_estuary :
River [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_island :
Island [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_lake :
Lake [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_mountain :
Mountain [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_river :
River [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_sea :
Sea [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_source :
River [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
island :
Name [ TEXT ] primary_key
Islands [ TEXT ]
Area [ REAL ]
Height [ REAL ]
Type [ TEXT ]
Longitude [ REAL ]
Latitude [ REAL ]
islandIn :
Island [ TEXT ]
Sea [ TEXT ]
Lake [ TEXT ]
River [ TEXT ]
isMember :
Country [ TEXT ]
Organization [ TEXT ]
Type [ TEXT ]
lake :
Name [ TEXT ] primary_key
Area [ REAL ]
Depth [ REAL ]
Altitude [ REAL ]
Type [ TEXT ]
River [ TEXT ]
Longitude [ REAL ]
Latitude [ REAL ]
language :
Country [ TEXT ]
Name [ TEXT ]
Percentage [ REAL ]
located :
City [ TEXT ]
Province [ TEXT ]
Country [ TEXT ]
River [ TEXT ]
Lake [ TEXT ]
Sea [ TEXT ]
locatedOn :
City [ TEXT ]
Province [ TEXT ]
Country [ TEXT ]
Island [ TEXT ]
mergesWith :
Sea1 [ TEXT ]
Sea2 [ TEXT ]
mountain :
Name [ TEXT ] primary_key
Mountains [ TEXT ]
Height [ REAL ]
Type [ TEXT ]
Longitude [ REAL ]
Latitude [ REAL ]
mountainOnIsland :
Mountain [ TEXT ]
Island [ TEXT ]
organization :
Abbreviation [ TEXT ] primary_key
Name [ TEXT ]
City [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
Established [ DATE ]
politics :
Country [ TEXT ] primary_key
Independence [ DATE ]
Dependent [ TEXT ]
Government [ TEXT ]
population :
Country [ TEXT ] primary_key
Population_Growth [ REAL ]
Infant_Mortality [ REAL ]
province :
Name [ TEXT ]
Country [ TEXT ]
Population [ INTEGER ]
Area [ REAL ]
Capital [ TEXT ]
CapProv [ TEXT ]
religion :
Country [ TEXT ]
Name [ TEXT ]
Percentage [ REAL ]
river :
Name [ TEXT ] primary_key
River [ TEXT ]
Lake [ TEXT ]
Sea [ TEXT ]
Length [ REAL ]
SourceLongitude [ REAL ]
SourceLatitude [ REAL ]
Mountains [ TEXT ]
SourceAltitude [ REAL ]
EstuaryLongitude [ REAL ]
EstuaryLatitude [ REAL ]
sea :
Name [ TEXT ] primary_key
Depth [ REAL ]
target :
Country [ TEXT ] primary_key
Target [ TEXT ]
Please write me a SQL statement that answers the following question: How many organizations are established in countries where people speak Bosnian? [/INST] | SELECT COUNT(T2.Name) FROM language AS T1 INNER JOIN organization AS T2 ON T1.Country = T2.Country WHERE T1.Name = 'Bosnian'; |
[INST] Here is a database schema:
borders :
Country1 [ TEXT ]
Country2 [ TEXT ]
Length [ REAL ]
city :
Name [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
Population [ INTEGER ]
Longitude [ REAL ]
Latitude [ REAL ]
continent :
Name [ TEXT ] primary_key
Area [ REAL ]
country :
Name [ TEXT ]
Code [ TEXT ] primary_key
Capital [ TEXT ]
Province [ TEXT ]
Area [ REAL ]
Population [ INTEGER ]
desert :
Name [ TEXT ] primary_key
Area [ REAL ]
Longitude [ REAL ]
Latitude [ REAL ]
economy :
Country [ TEXT ] primary_key
GDP [ REAL ]
Agriculture [ REAL ]
Service [ REAL ]
Industry [ REAL ]
Inflation [ REAL ]
encompasses :
Country [ TEXT ]
Continent [ TEXT ]
Percentage [ REAL ]
ethnicGroup :
Country [ TEXT ]
Name [ TEXT ]
Percentage [ REAL ]
geo_desert :
Desert [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_estuary :
River [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_island :
Island [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_lake :
Lake [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_mountain :
Mountain [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_river :
River [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_sea :
Sea [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_source :
River [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
island :
Name [ TEXT ] primary_key
Islands [ TEXT ]
Area [ REAL ]
Height [ REAL ]
Type [ TEXT ]
Longitude [ REAL ]
Latitude [ REAL ]
islandIn :
Island [ TEXT ]
Sea [ TEXT ]
Lake [ TEXT ]
River [ TEXT ]
isMember :
Country [ TEXT ]
Organization [ TEXT ]
Type [ TEXT ]
lake :
Name [ TEXT ] primary_key
Area [ REAL ]
Depth [ REAL ]
Altitude [ REAL ]
Type [ TEXT ]
River [ TEXT ]
Longitude [ REAL ]
Latitude [ REAL ]
language :
Country [ TEXT ]
Name [ TEXT ]
Percentage [ REAL ]
located :
City [ TEXT ]
Province [ TEXT ]
Country [ TEXT ]
River [ TEXT ]
Lake [ TEXT ]
Sea [ TEXT ]
locatedOn :
City [ TEXT ]
Province [ TEXT ]
Country [ TEXT ]
Island [ TEXT ]
mergesWith :
Sea1 [ TEXT ]
Sea2 [ TEXT ]
mountain :
Name [ TEXT ] primary_key
Mountains [ TEXT ]
Height [ REAL ]
Type [ TEXT ]
Longitude [ REAL ]
Latitude [ REAL ]
mountainOnIsland :
Mountain [ TEXT ]
Island [ TEXT ]
organization :
Abbreviation [ TEXT ] primary_key
Name [ TEXT ]
City [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
Established [ DATE ]
politics :
Country [ TEXT ] primary_key
Independence [ DATE ]
Dependent [ TEXT ]
Government [ TEXT ]
population :
Country [ TEXT ] primary_key
Population_Growth [ REAL ]
Infant_Mortality [ REAL ]
province :
Name [ TEXT ]
Country [ TEXT ]
Population [ INTEGER ]
Area [ REAL ]
Capital [ TEXT ]
CapProv [ TEXT ]
religion :
Country [ TEXT ]
Name [ TEXT ]
Percentage [ REAL ]
river :
Name [ TEXT ] primary_key
River [ TEXT ]
Lake [ TEXT ]
Sea [ TEXT ]
Length [ REAL ]
SourceLongitude [ REAL ]
SourceLatitude [ REAL ]
Mountains [ TEXT ]
SourceAltitude [ REAL ]
EstuaryLongitude [ REAL ]
EstuaryLatitude [ REAL ]
sea :
Name [ TEXT ] primary_key
Depth [ REAL ]
target :
Country [ TEXT ] primary_key
Target [ TEXT ]
Please write me a SQL statement that answers the following question: What is the highest infant mortality rate per thousand of the countries whose inflation is under 3? [/INST] | SELECT MAX(T2.Infant_Mortality) FROM economy AS T1 INNER JOIN population AS T2 ON T1.Country = T2.Country WHERE T1.Inflation < 3; |
[INST] Here is a database schema:
borders :
Country1 [ TEXT ]
Country2 [ TEXT ]
Length [ REAL ]
city :
Name [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
Population [ INTEGER ]
Longitude [ REAL ]
Latitude [ REAL ]
continent :
Name [ TEXT ] primary_key
Area [ REAL ]
country :
Name [ TEXT ]
Code [ TEXT ] primary_key
Capital [ TEXT ]
Province [ TEXT ]
Area [ REAL ]
Population [ INTEGER ]
desert :
Name [ TEXT ] primary_key
Area [ REAL ]
Longitude [ REAL ]
Latitude [ REAL ]
economy :
Country [ TEXT ] primary_key
GDP [ REAL ]
Agriculture [ REAL ]
Service [ REAL ]
Industry [ REAL ]
Inflation [ REAL ]
encompasses :
Country [ TEXT ]
Continent [ TEXT ]
Percentage [ REAL ]
ethnicGroup :
Country [ TEXT ]
Name [ TEXT ]
Percentage [ REAL ]
geo_desert :
Desert [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_estuary :
River [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_island :
Island [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_lake :
Lake [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_mountain :
Mountain [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_river :
River [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_sea :
Sea [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_source :
River [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
island :
Name [ TEXT ] primary_key
Islands [ TEXT ]
Area [ REAL ]
Height [ REAL ]
Type [ TEXT ]
Longitude [ REAL ]
Latitude [ REAL ]
islandIn :
Island [ TEXT ]
Sea [ TEXT ]
Lake [ TEXT ]
River [ TEXT ]
isMember :
Country [ TEXT ]
Organization [ TEXT ]
Type [ TEXT ]
lake :
Name [ TEXT ] primary_key
Area [ REAL ]
Depth [ REAL ]
Altitude [ REAL ]
Type [ TEXT ]
River [ TEXT ]
Longitude [ REAL ]
Latitude [ REAL ]
language :
Country [ TEXT ]
Name [ TEXT ]
Percentage [ REAL ]
located :
City [ TEXT ]
Province [ TEXT ]
Country [ TEXT ]
River [ TEXT ]
Lake [ TEXT ]
Sea [ TEXT ]
locatedOn :
City [ TEXT ]
Province [ TEXT ]
Country [ TEXT ]
Island [ TEXT ]
mergesWith :
Sea1 [ TEXT ]
Sea2 [ TEXT ]
mountain :
Name [ TEXT ] primary_key
Mountains [ TEXT ]
Height [ REAL ]
Type [ TEXT ]
Longitude [ REAL ]
Latitude [ REAL ]
mountainOnIsland :
Mountain [ TEXT ]
Island [ TEXT ]
organization :
Abbreviation [ TEXT ] primary_key
Name [ TEXT ]
City [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
Established [ DATE ]
politics :
Country [ TEXT ] primary_key
Independence [ DATE ]
Dependent [ TEXT ]
Government [ TEXT ]
population :
Country [ TEXT ] primary_key
Population_Growth [ REAL ]
Infant_Mortality [ REAL ]
province :
Name [ TEXT ]
Country [ TEXT ]
Population [ INTEGER ]
Area [ REAL ]
Capital [ TEXT ]
CapProv [ TEXT ]
religion :
Country [ TEXT ]
Name [ TEXT ]
Percentage [ REAL ]
river :
Name [ TEXT ] primary_key
River [ TEXT ]
Lake [ TEXT ]
Sea [ TEXT ]
Length [ REAL ]
SourceLongitude [ REAL ]
SourceLatitude [ REAL ]
Mountains [ TEXT ]
SourceAltitude [ REAL ]
EstuaryLongitude [ REAL ]
EstuaryLatitude [ REAL ]
sea :
Name [ TEXT ] primary_key
Depth [ REAL ]
target :
Country [ TEXT ] primary_key
Target [ TEXT ]
Please write me a SQL statement that answers the following question: Among the countries whose GDP is over 1000000, how many of them have a population groth rate of over 3%? [/INST] | SELECT COUNT(T1.Country) FROM economy AS T1 INNER JOIN population AS T2 ON T1.Country = T2.Country WHERE T1.GDP > 1000000 AND T2.Population_Growth > 3; |
[INST] Here is a database schema:
borders :
Country1 [ TEXT ]
Country2 [ TEXT ]
Length [ REAL ]
city :
Name [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
Population [ INTEGER ]
Longitude [ REAL ]
Latitude [ REAL ]
continent :
Name [ TEXT ] primary_key
Area [ REAL ]
country :
Name [ TEXT ]
Code [ TEXT ] primary_key
Capital [ TEXT ]
Province [ TEXT ]
Area [ REAL ]
Population [ INTEGER ]
desert :
Name [ TEXT ] primary_key
Area [ REAL ]
Longitude [ REAL ]
Latitude [ REAL ]
economy :
Country [ TEXT ] primary_key
GDP [ REAL ]
Agriculture [ REAL ]
Service [ REAL ]
Industry [ REAL ]
Inflation [ REAL ]
encompasses :
Country [ TEXT ]
Continent [ TEXT ]
Percentage [ REAL ]
ethnicGroup :
Country [ TEXT ]
Name [ TEXT ]
Percentage [ REAL ]
geo_desert :
Desert [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_estuary :
River [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_island :
Island [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_lake :
Lake [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_mountain :
Mountain [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_river :
River [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_sea :
Sea [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_source :
River [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
island :
Name [ TEXT ] primary_key
Islands [ TEXT ]
Area [ REAL ]
Height [ REAL ]
Type [ TEXT ]
Longitude [ REAL ]
Latitude [ REAL ]
islandIn :
Island [ TEXT ]
Sea [ TEXT ]
Lake [ TEXT ]
River [ TEXT ]
isMember :
Country [ TEXT ]
Organization [ TEXT ]
Type [ TEXT ]
lake :
Name [ TEXT ] primary_key
Area [ REAL ]
Depth [ REAL ]
Altitude [ REAL ]
Type [ TEXT ]
River [ TEXT ]
Longitude [ REAL ]
Latitude [ REAL ]
language :
Country [ TEXT ]
Name [ TEXT ]
Percentage [ REAL ]
located :
City [ TEXT ]
Province [ TEXT ]
Country [ TEXT ]
River [ TEXT ]
Lake [ TEXT ]
Sea [ TEXT ]
locatedOn :
City [ TEXT ]
Province [ TEXT ]
Country [ TEXT ]
Island [ TEXT ]
mergesWith :
Sea1 [ TEXT ]
Sea2 [ TEXT ]
mountain :
Name [ TEXT ] primary_key
Mountains [ TEXT ]
Height [ REAL ]
Type [ TEXT ]
Longitude [ REAL ]
Latitude [ REAL ]
mountainOnIsland :
Mountain [ TEXT ]
Island [ TEXT ]
organization :
Abbreviation [ TEXT ] primary_key
Name [ TEXT ]
City [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
Established [ DATE ]
politics :
Country [ TEXT ] primary_key
Independence [ DATE ]
Dependent [ TEXT ]
Government [ TEXT ]
population :
Country [ TEXT ] primary_key
Population_Growth [ REAL ]
Infant_Mortality [ REAL ]
province :
Name [ TEXT ]
Country [ TEXT ]
Population [ INTEGER ]
Area [ REAL ]
Capital [ TEXT ]
CapProv [ TEXT ]
religion :
Country [ TEXT ]
Name [ TEXT ]
Percentage [ REAL ]
river :
Name [ TEXT ] primary_key
River [ TEXT ]
Lake [ TEXT ]
Sea [ TEXT ]
Length [ REAL ]
SourceLongitude [ REAL ]
SourceLatitude [ REAL ]
Mountains [ TEXT ]
SourceAltitude [ REAL ]
EstuaryLongitude [ REAL ]
EstuaryLatitude [ REAL ]
sea :
Name [ TEXT ] primary_key
Depth [ REAL ]
target :
Country [ TEXT ] primary_key
Target [ TEXT ]
Please write me a SQL statement that answers the following question: Which country has the highest GDP per capita? [/INST] | SELECT T1.Name FROM country AS T1 INNER JOIN economy AS T2 ON T1.Code = T2.Country ORDER BY T2.GDP / T1.Population DESC LIMIT 1; |
[INST] Here is a database schema:
borders :
Country1 [ TEXT ]
Country2 [ TEXT ]
Length [ REAL ]
city :
Name [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
Population [ INTEGER ]
Longitude [ REAL ]
Latitude [ REAL ]
continent :
Name [ TEXT ] primary_key
Area [ REAL ]
country :
Name [ TEXT ]
Code [ TEXT ] primary_key
Capital [ TEXT ]
Province [ TEXT ]
Area [ REAL ]
Population [ INTEGER ]
desert :
Name [ TEXT ] primary_key
Area [ REAL ]
Longitude [ REAL ]
Latitude [ REAL ]
economy :
Country [ TEXT ] primary_key
GDP [ REAL ]
Agriculture [ REAL ]
Service [ REAL ]
Industry [ REAL ]
Inflation [ REAL ]
encompasses :
Country [ TEXT ]
Continent [ TEXT ]
Percentage [ REAL ]
ethnicGroup :
Country [ TEXT ]
Name [ TEXT ]
Percentage [ REAL ]
geo_desert :
Desert [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_estuary :
River [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_island :
Island [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_lake :
Lake [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_mountain :
Mountain [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_river :
River [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_sea :
Sea [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_source :
River [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
island :
Name [ TEXT ] primary_key
Islands [ TEXT ]
Area [ REAL ]
Height [ REAL ]
Type [ TEXT ]
Longitude [ REAL ]
Latitude [ REAL ]
islandIn :
Island [ TEXT ]
Sea [ TEXT ]
Lake [ TEXT ]
River [ TEXT ]
isMember :
Country [ TEXT ]
Organization [ TEXT ]
Type [ TEXT ]
lake :
Name [ TEXT ] primary_key
Area [ REAL ]
Depth [ REAL ]
Altitude [ REAL ]
Type [ TEXT ]
River [ TEXT ]
Longitude [ REAL ]
Latitude [ REAL ]
language :
Country [ TEXT ]
Name [ TEXT ]
Percentage [ REAL ]
located :
City [ TEXT ]
Province [ TEXT ]
Country [ TEXT ]
River [ TEXT ]
Lake [ TEXT ]
Sea [ TEXT ]
locatedOn :
City [ TEXT ]
Province [ TEXT ]
Country [ TEXT ]
Island [ TEXT ]
mergesWith :
Sea1 [ TEXT ]
Sea2 [ TEXT ]
mountain :
Name [ TEXT ] primary_key
Mountains [ TEXT ]
Height [ REAL ]
Type [ TEXT ]
Longitude [ REAL ]
Latitude [ REAL ]
mountainOnIsland :
Mountain [ TEXT ]
Island [ TEXT ]
organization :
Abbreviation [ TEXT ] primary_key
Name [ TEXT ]
City [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
Established [ DATE ]
politics :
Country [ TEXT ] primary_key
Independence [ DATE ]
Dependent [ TEXT ]
Government [ TEXT ]
population :
Country [ TEXT ] primary_key
Population_Growth [ REAL ]
Infant_Mortality [ REAL ]
province :
Name [ TEXT ]
Country [ TEXT ]
Population [ INTEGER ]
Area [ REAL ]
Capital [ TEXT ]
CapProv [ TEXT ]
religion :
Country [ TEXT ]
Name [ TEXT ]
Percentage [ REAL ]
river :
Name [ TEXT ] primary_key
River [ TEXT ]
Lake [ TEXT ]
Sea [ TEXT ]
Length [ REAL ]
SourceLongitude [ REAL ]
SourceLatitude [ REAL ]
Mountains [ TEXT ]
SourceAltitude [ REAL ]
EstuaryLongitude [ REAL ]
EstuaryLatitude [ REAL ]
sea :
Name [ TEXT ] primary_key
Depth [ REAL ]
target :
Country [ TEXT ] primary_key
Target [ TEXT ]
Please write me a SQL statement that answers the following question: What is the highest lake area coverage of a country? [/INST] | SELECT T2.Area * 100 / T3.Area FROM located AS T1 INNER JOIN lake AS T2 ON T1.Lake = T2.Name INNER JOIN country AS T3 ON T3.Code = T1.Country ORDER BY T2.Longitude DESC LIMIT 1; |
[INST] Here is a database schema:
borders :
Country1 [ TEXT ]
Country2 [ TEXT ]
Length [ REAL ]
city :
Name [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
Population [ INTEGER ]
Longitude [ REAL ]
Latitude [ REAL ]
continent :
Name [ TEXT ] primary_key
Area [ REAL ]
country :
Name [ TEXT ]
Code [ TEXT ] primary_key
Capital [ TEXT ]
Province [ TEXT ]
Area [ REAL ]
Population [ INTEGER ]
desert :
Name [ TEXT ] primary_key
Area [ REAL ]
Longitude [ REAL ]
Latitude [ REAL ]
economy :
Country [ TEXT ] primary_key
GDP [ REAL ]
Agriculture [ REAL ]
Service [ REAL ]
Industry [ REAL ]
Inflation [ REAL ]
encompasses :
Country [ TEXT ]
Continent [ TEXT ]
Percentage [ REAL ]
ethnicGroup :
Country [ TEXT ]
Name [ TEXT ]
Percentage [ REAL ]
geo_desert :
Desert [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_estuary :
River [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_island :
Island [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_lake :
Lake [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_mountain :
Mountain [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_river :
River [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_sea :
Sea [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_source :
River [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
island :
Name [ TEXT ] primary_key
Islands [ TEXT ]
Area [ REAL ]
Height [ REAL ]
Type [ TEXT ]
Longitude [ REAL ]
Latitude [ REAL ]
islandIn :
Island [ TEXT ]
Sea [ TEXT ]
Lake [ TEXT ]
River [ TEXT ]
isMember :
Country [ TEXT ]
Organization [ TEXT ]
Type [ TEXT ]
lake :
Name [ TEXT ] primary_key
Area [ REAL ]
Depth [ REAL ]
Altitude [ REAL ]
Type [ TEXT ]
River [ TEXT ]
Longitude [ REAL ]
Latitude [ REAL ]
language :
Country [ TEXT ]
Name [ TEXT ]
Percentage [ REAL ]
located :
City [ TEXT ]
Province [ TEXT ]
Country [ TEXT ]
River [ TEXT ]
Lake [ TEXT ]
Sea [ TEXT ]
locatedOn :
City [ TEXT ]
Province [ TEXT ]
Country [ TEXT ]
Island [ TEXT ]
mergesWith :
Sea1 [ TEXT ]
Sea2 [ TEXT ]
mountain :
Name [ TEXT ] primary_key
Mountains [ TEXT ]
Height [ REAL ]
Type [ TEXT ]
Longitude [ REAL ]
Latitude [ REAL ]
mountainOnIsland :
Mountain [ TEXT ]
Island [ TEXT ]
organization :
Abbreviation [ TEXT ] primary_key
Name [ TEXT ]
City [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
Established [ DATE ]
politics :
Country [ TEXT ] primary_key
Independence [ DATE ]
Dependent [ TEXT ]
Government [ TEXT ]
population :
Country [ TEXT ] primary_key
Population_Growth [ REAL ]
Infant_Mortality [ REAL ]
province :
Name [ TEXT ]
Country [ TEXT ]
Population [ INTEGER ]
Area [ REAL ]
Capital [ TEXT ]
CapProv [ TEXT ]
religion :
Country [ TEXT ]
Name [ TEXT ]
Percentage [ REAL ]
river :
Name [ TEXT ] primary_key
River [ TEXT ]
Lake [ TEXT ]
Sea [ TEXT ]
Length [ REAL ]
SourceLongitude [ REAL ]
SourceLatitude [ REAL ]
Mountains [ TEXT ]
SourceAltitude [ REAL ]
EstuaryLongitude [ REAL ]
EstuaryLatitude [ REAL ]
sea :
Name [ TEXT ] primary_key
Depth [ REAL ]
target :
Country [ TEXT ] primary_key
Target [ TEXT ]
Please write me a SQL statement that answers the following question: What is the average population growth rate of countries where more than 3 languages are used? [/INST] | SELECT SUM(T3.Population_Growth) / COUNT(T3.Country) FROM country AS T1 INNER JOIN language AS T2 ON T1.Code = T2.Country INNER JOIN population AS T3 ON T3.Country = T2.Country WHERE T2.Country IN ( SELECT Country FROM language GROUP BY Country HAVING COUNT(Country) > 3 ) GROUP BY T3.Country; |
[INST] Here is a database schema:
borders :
Country1 [ TEXT ]
Country2 [ TEXT ]
Length [ REAL ]
city :
Name [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
Population [ INTEGER ]
Longitude [ REAL ]
Latitude [ REAL ]
continent :
Name [ TEXT ] primary_key
Area [ REAL ]
country :
Name [ TEXT ]
Code [ TEXT ] primary_key
Capital [ TEXT ]
Province [ TEXT ]
Area [ REAL ]
Population [ INTEGER ]
desert :
Name [ TEXT ] primary_key
Area [ REAL ]
Longitude [ REAL ]
Latitude [ REAL ]
economy :
Country [ TEXT ] primary_key
GDP [ REAL ]
Agriculture [ REAL ]
Service [ REAL ]
Industry [ REAL ]
Inflation [ REAL ]
encompasses :
Country [ TEXT ]
Continent [ TEXT ]
Percentage [ REAL ]
ethnicGroup :
Country [ TEXT ]
Name [ TEXT ]
Percentage [ REAL ]
geo_desert :
Desert [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_estuary :
River [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_island :
Island [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_lake :
Lake [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_mountain :
Mountain [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_river :
River [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_sea :
Sea [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_source :
River [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
island :
Name [ TEXT ] primary_key
Islands [ TEXT ]
Area [ REAL ]
Height [ REAL ]
Type [ TEXT ]
Longitude [ REAL ]
Latitude [ REAL ]
islandIn :
Island [ TEXT ]
Sea [ TEXT ]
Lake [ TEXT ]
River [ TEXT ]
isMember :
Country [ TEXT ]
Organization [ TEXT ]
Type [ TEXT ]
lake :
Name [ TEXT ] primary_key
Area [ REAL ]
Depth [ REAL ]
Altitude [ REAL ]
Type [ TEXT ]
River [ TEXT ]
Longitude [ REAL ]
Latitude [ REAL ]
language :
Country [ TEXT ]
Name [ TEXT ]
Percentage [ REAL ]
located :
City [ TEXT ]
Province [ TEXT ]
Country [ TEXT ]
River [ TEXT ]
Lake [ TEXT ]
Sea [ TEXT ]
locatedOn :
City [ TEXT ]
Province [ TEXT ]
Country [ TEXT ]
Island [ TEXT ]
mergesWith :
Sea1 [ TEXT ]
Sea2 [ TEXT ]
mountain :
Name [ TEXT ] primary_key
Mountains [ TEXT ]
Height [ REAL ]
Type [ TEXT ]
Longitude [ REAL ]
Latitude [ REAL ]
mountainOnIsland :
Mountain [ TEXT ]
Island [ TEXT ]
organization :
Abbreviation [ TEXT ] primary_key
Name [ TEXT ]
City [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
Established [ DATE ]
politics :
Country [ TEXT ] primary_key
Independence [ DATE ]
Dependent [ TEXT ]
Government [ TEXT ]
population :
Country [ TEXT ] primary_key
Population_Growth [ REAL ]
Infant_Mortality [ REAL ]
province :
Name [ TEXT ]
Country [ TEXT ]
Population [ INTEGER ]
Area [ REAL ]
Capital [ TEXT ]
CapProv [ TEXT ]
religion :
Country [ TEXT ]
Name [ TEXT ]
Percentage [ REAL ]
river :
Name [ TEXT ] primary_key
River [ TEXT ]
Lake [ TEXT ]
Sea [ TEXT ]
Length [ REAL ]
SourceLongitude [ REAL ]
SourceLatitude [ REAL ]
Mountains [ TEXT ]
SourceAltitude [ REAL ]
EstuaryLongitude [ REAL ]
EstuaryLatitude [ REAL ]
sea :
Name [ TEXT ] primary_key
Depth [ REAL ]
target :
Country [ TEXT ] primary_key
Target [ TEXT ]
Please write me a SQL statement that answers the following question: Please list the names of the countries with an inflation rate that's 30% above the average. [/INST] | SELECT T1.Name FROM country AS T1 INNER JOIN economy AS T2 ON T1.Code = T2.Country GROUP BY T1.Name, T2.Inflation HAVING T2.Inflation > AVG(T2.Inflation) * 1.3; |
[INST] Here is a database schema:
borders :
Country1 [ TEXT ]
Country2 [ TEXT ]
Length [ REAL ]
city :
Name [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
Population [ INTEGER ]
Longitude [ REAL ]
Latitude [ REAL ]
continent :
Name [ TEXT ] primary_key
Area [ REAL ]
country :
Name [ TEXT ]
Code [ TEXT ] primary_key
Capital [ TEXT ]
Province [ TEXT ]
Area [ REAL ]
Population [ INTEGER ]
desert :
Name [ TEXT ] primary_key
Area [ REAL ]
Longitude [ REAL ]
Latitude [ REAL ]
economy :
Country [ TEXT ] primary_key
GDP [ REAL ]
Agriculture [ REAL ]
Service [ REAL ]
Industry [ REAL ]
Inflation [ REAL ]
encompasses :
Country [ TEXT ]
Continent [ TEXT ]
Percentage [ REAL ]
ethnicGroup :
Country [ TEXT ]
Name [ TEXT ]
Percentage [ REAL ]
geo_desert :
Desert [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_estuary :
River [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_island :
Island [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_lake :
Lake [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_mountain :
Mountain [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_river :
River [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_sea :
Sea [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_source :
River [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
island :
Name [ TEXT ] primary_key
Islands [ TEXT ]
Area [ REAL ]
Height [ REAL ]
Type [ TEXT ]
Longitude [ REAL ]
Latitude [ REAL ]
islandIn :
Island [ TEXT ]
Sea [ TEXT ]
Lake [ TEXT ]
River [ TEXT ]
isMember :
Country [ TEXT ]
Organization [ TEXT ]
Type [ TEXT ]
lake :
Name [ TEXT ] primary_key
Area [ REAL ]
Depth [ REAL ]
Altitude [ REAL ]
Type [ TEXT ]
River [ TEXT ]
Longitude [ REAL ]
Latitude [ REAL ]
language :
Country [ TEXT ]
Name [ TEXT ]
Percentage [ REAL ]
located :
City [ TEXT ]
Province [ TEXT ]
Country [ TEXT ]
River [ TEXT ]
Lake [ TEXT ]
Sea [ TEXT ]
locatedOn :
City [ TEXT ]
Province [ TEXT ]
Country [ TEXT ]
Island [ TEXT ]
mergesWith :
Sea1 [ TEXT ]
Sea2 [ TEXT ]
mountain :
Name [ TEXT ] primary_key
Mountains [ TEXT ]
Height [ REAL ]
Type [ TEXT ]
Longitude [ REAL ]
Latitude [ REAL ]
mountainOnIsland :
Mountain [ TEXT ]
Island [ TEXT ]
organization :
Abbreviation [ TEXT ] primary_key
Name [ TEXT ]
City [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
Established [ DATE ]
politics :
Country [ TEXT ] primary_key
Independence [ DATE ]
Dependent [ TEXT ]
Government [ TEXT ]
population :
Country [ TEXT ] primary_key
Population_Growth [ REAL ]
Infant_Mortality [ REAL ]
province :
Name [ TEXT ]
Country [ TEXT ]
Population [ INTEGER ]
Area [ REAL ]
Capital [ TEXT ]
CapProv [ TEXT ]
religion :
Country [ TEXT ]
Name [ TEXT ]
Percentage [ REAL ]
river :
Name [ TEXT ] primary_key
River [ TEXT ]
Lake [ TEXT ]
Sea [ TEXT ]
Length [ REAL ]
SourceLongitude [ REAL ]
SourceLatitude [ REAL ]
Mountains [ TEXT ]
SourceAltitude [ REAL ]
EstuaryLongitude [ REAL ]
EstuaryLatitude [ REAL ]
sea :
Name [ TEXT ] primary_key
Depth [ REAL ]
target :
Country [ TEXT ] primary_key
Target [ TEXT ]
Please write me a SQL statement that answers the following question: Where country does Baghdad belongs to? [/INST] | SELECT Name FROM country WHERE Province = 'Baghdad'; |
[INST] Here is a database schema:
borders :
Country1 [ TEXT ]
Country2 [ TEXT ]
Length [ REAL ]
city :
Name [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
Population [ INTEGER ]
Longitude [ REAL ]
Latitude [ REAL ]
continent :
Name [ TEXT ] primary_key
Area [ REAL ]
country :
Name [ TEXT ]
Code [ TEXT ] primary_key
Capital [ TEXT ]
Province [ TEXT ]
Area [ REAL ]
Population [ INTEGER ]
desert :
Name [ TEXT ] primary_key
Area [ REAL ]
Longitude [ REAL ]
Latitude [ REAL ]
economy :
Country [ TEXT ] primary_key
GDP [ REAL ]
Agriculture [ REAL ]
Service [ REAL ]
Industry [ REAL ]
Inflation [ REAL ]
encompasses :
Country [ TEXT ]
Continent [ TEXT ]
Percentage [ REAL ]
ethnicGroup :
Country [ TEXT ]
Name [ TEXT ]
Percentage [ REAL ]
geo_desert :
Desert [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_estuary :
River [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_island :
Island [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_lake :
Lake [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_mountain :
Mountain [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_river :
River [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_sea :
Sea [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_source :
River [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
island :
Name [ TEXT ] primary_key
Islands [ TEXT ]
Area [ REAL ]
Height [ REAL ]
Type [ TEXT ]
Longitude [ REAL ]
Latitude [ REAL ]
islandIn :
Island [ TEXT ]
Sea [ TEXT ]
Lake [ TEXT ]
River [ TEXT ]
isMember :
Country [ TEXT ]
Organization [ TEXT ]
Type [ TEXT ]
lake :
Name [ TEXT ] primary_key
Area [ REAL ]
Depth [ REAL ]
Altitude [ REAL ]
Type [ TEXT ]
River [ TEXT ]
Longitude [ REAL ]
Latitude [ REAL ]
language :
Country [ TEXT ]
Name [ TEXT ]
Percentage [ REAL ]
located :
City [ TEXT ]
Province [ TEXT ]
Country [ TEXT ]
River [ TEXT ]
Lake [ TEXT ]
Sea [ TEXT ]
locatedOn :
City [ TEXT ]
Province [ TEXT ]
Country [ TEXT ]
Island [ TEXT ]
mergesWith :
Sea1 [ TEXT ]
Sea2 [ TEXT ]
mountain :
Name [ TEXT ] primary_key
Mountains [ TEXT ]
Height [ REAL ]
Type [ TEXT ]
Longitude [ REAL ]
Latitude [ REAL ]
mountainOnIsland :
Mountain [ TEXT ]
Island [ TEXT ]
organization :
Abbreviation [ TEXT ] primary_key
Name [ TEXT ]
City [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
Established [ DATE ]
politics :
Country [ TEXT ] primary_key
Independence [ DATE ]
Dependent [ TEXT ]
Government [ TEXT ]
population :
Country [ TEXT ] primary_key
Population_Growth [ REAL ]
Infant_Mortality [ REAL ]
province :
Name [ TEXT ]
Country [ TEXT ]
Population [ INTEGER ]
Area [ REAL ]
Capital [ TEXT ]
CapProv [ TEXT ]
religion :
Country [ TEXT ]
Name [ TEXT ]
Percentage [ REAL ]
river :
Name [ TEXT ] primary_key
River [ TEXT ]
Lake [ TEXT ]
Sea [ TEXT ]
Length [ REAL ]
SourceLongitude [ REAL ]
SourceLatitude [ REAL ]
Mountains [ TEXT ]
SourceAltitude [ REAL ]
EstuaryLongitude [ REAL ]
EstuaryLatitude [ REAL ]
sea :
Name [ TEXT ] primary_key
Depth [ REAL ]
target :
Country [ TEXT ] primary_key
Target [ TEXT ]
Please write me a SQL statement that answers the following question: Which religion has the largest population in Martinique? [/INST] | SELECT T2.Name FROM country AS T1 INNER JOIN religion AS T2 ON T1.Code = T2.Country WHERE T1.Name = 'Martinique' ORDER BY T1.population DESC LIMIT 1; |
[INST] Here is a database schema:
borders :
Country1 [ TEXT ]
Country2 [ TEXT ]
Length [ REAL ]
city :
Name [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
Population [ INTEGER ]
Longitude [ REAL ]
Latitude [ REAL ]
continent :
Name [ TEXT ] primary_key
Area [ REAL ]
country :
Name [ TEXT ]
Code [ TEXT ] primary_key
Capital [ TEXT ]
Province [ TEXT ]
Area [ REAL ]
Population [ INTEGER ]
desert :
Name [ TEXT ] primary_key
Area [ REAL ]
Longitude [ REAL ]
Latitude [ REAL ]
economy :
Country [ TEXT ] primary_key
GDP [ REAL ]
Agriculture [ REAL ]
Service [ REAL ]
Industry [ REAL ]
Inflation [ REAL ]
encompasses :
Country [ TEXT ]
Continent [ TEXT ]
Percentage [ REAL ]
ethnicGroup :
Country [ TEXT ]
Name [ TEXT ]
Percentage [ REAL ]
geo_desert :
Desert [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_estuary :
River [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_island :
Island [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_lake :
Lake [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_mountain :
Mountain [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_river :
River [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_sea :
Sea [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_source :
River [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
island :
Name [ TEXT ] primary_key
Islands [ TEXT ]
Area [ REAL ]
Height [ REAL ]
Type [ TEXT ]
Longitude [ REAL ]
Latitude [ REAL ]
islandIn :
Island [ TEXT ]
Sea [ TEXT ]
Lake [ TEXT ]
River [ TEXT ]
isMember :
Country [ TEXT ]
Organization [ TEXT ]
Type [ TEXT ]
lake :
Name [ TEXT ] primary_key
Area [ REAL ]
Depth [ REAL ]
Altitude [ REAL ]
Type [ TEXT ]
River [ TEXT ]
Longitude [ REAL ]
Latitude [ REAL ]
language :
Country [ TEXT ]
Name [ TEXT ]
Percentage [ REAL ]
located :
City [ TEXT ]
Province [ TEXT ]
Country [ TEXT ]
River [ TEXT ]
Lake [ TEXT ]
Sea [ TEXT ]
locatedOn :
City [ TEXT ]
Province [ TEXT ]
Country [ TEXT ]
Island [ TEXT ]
mergesWith :
Sea1 [ TEXT ]
Sea2 [ TEXT ]
mountain :
Name [ TEXT ] primary_key
Mountains [ TEXT ]
Height [ REAL ]
Type [ TEXT ]
Longitude [ REAL ]
Latitude [ REAL ]
mountainOnIsland :
Mountain [ TEXT ]
Island [ TEXT ]
organization :
Abbreviation [ TEXT ] primary_key
Name [ TEXT ]
City [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
Established [ DATE ]
politics :
Country [ TEXT ] primary_key
Independence [ DATE ]
Dependent [ TEXT ]
Government [ TEXT ]
population :
Country [ TEXT ] primary_key
Population_Growth [ REAL ]
Infant_Mortality [ REAL ]
province :
Name [ TEXT ]
Country [ TEXT ]
Population [ INTEGER ]
Area [ REAL ]
Capital [ TEXT ]
CapProv [ TEXT ]
religion :
Country [ TEXT ]
Name [ TEXT ]
Percentage [ REAL ]
river :
Name [ TEXT ] primary_key
River [ TEXT ]
Lake [ TEXT ]
Sea [ TEXT ]
Length [ REAL ]
SourceLongitude [ REAL ]
SourceLatitude [ REAL ]
Mountains [ TEXT ]
SourceAltitude [ REAL ]
EstuaryLongitude [ REAL ]
EstuaryLatitude [ REAL ]
sea :
Name [ TEXT ] primary_key
Depth [ REAL ]
target :
Country [ TEXT ] primary_key
Target [ TEXT ]
Please write me a SQL statement that answers the following question: Which country is 41% Christian? Give the full name of the country. [/INST] | SELECT T1.Name FROM country AS T1 INNER JOIN religion AS T2 ON T1.Code = T2.Country WHERE T2.Name = 'Christian' AND T2.Percentage = 41; |
[INST] Here is a database schema:
borders :
Country1 [ TEXT ]
Country2 [ TEXT ]
Length [ REAL ]
city :
Name [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
Population [ INTEGER ]
Longitude [ REAL ]
Latitude [ REAL ]
continent :
Name [ TEXT ] primary_key
Area [ REAL ]
country :
Name [ TEXT ]
Code [ TEXT ] primary_key
Capital [ TEXT ]
Province [ TEXT ]
Area [ REAL ]
Population [ INTEGER ]
desert :
Name [ TEXT ] primary_key
Area [ REAL ]
Longitude [ REAL ]
Latitude [ REAL ]
economy :
Country [ TEXT ] primary_key
GDP [ REAL ]
Agriculture [ REAL ]
Service [ REAL ]
Industry [ REAL ]
Inflation [ REAL ]
encompasses :
Country [ TEXT ]
Continent [ TEXT ]
Percentage [ REAL ]
ethnicGroup :
Country [ TEXT ]
Name [ TEXT ]
Percentage [ REAL ]
geo_desert :
Desert [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_estuary :
River [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_island :
Island [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_lake :
Lake [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_mountain :
Mountain [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_river :
River [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_sea :
Sea [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_source :
River [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
island :
Name [ TEXT ] primary_key
Islands [ TEXT ]
Area [ REAL ]
Height [ REAL ]
Type [ TEXT ]
Longitude [ REAL ]
Latitude [ REAL ]
islandIn :
Island [ TEXT ]
Sea [ TEXT ]
Lake [ TEXT ]
River [ TEXT ]
isMember :
Country [ TEXT ]
Organization [ TEXT ]
Type [ TEXT ]
lake :
Name [ TEXT ] primary_key
Area [ REAL ]
Depth [ REAL ]
Altitude [ REAL ]
Type [ TEXT ]
River [ TEXT ]
Longitude [ REAL ]
Latitude [ REAL ]
language :
Country [ TEXT ]
Name [ TEXT ]
Percentage [ REAL ]
located :
City [ TEXT ]
Province [ TEXT ]
Country [ TEXT ]
River [ TEXT ]
Lake [ TEXT ]
Sea [ TEXT ]
locatedOn :
City [ TEXT ]
Province [ TEXT ]
Country [ TEXT ]
Island [ TEXT ]
mergesWith :
Sea1 [ TEXT ]
Sea2 [ TEXT ]
mountain :
Name [ TEXT ] primary_key
Mountains [ TEXT ]
Height [ REAL ]
Type [ TEXT ]
Longitude [ REAL ]
Latitude [ REAL ]
mountainOnIsland :
Mountain [ TEXT ]
Island [ TEXT ]
organization :
Abbreviation [ TEXT ] primary_key
Name [ TEXT ]
City [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
Established [ DATE ]
politics :
Country [ TEXT ] primary_key
Independence [ DATE ]
Dependent [ TEXT ]
Government [ TEXT ]
population :
Country [ TEXT ] primary_key
Population_Growth [ REAL ]
Infant_Mortality [ REAL ]
province :
Name [ TEXT ]
Country [ TEXT ]
Population [ INTEGER ]
Area [ REAL ]
Capital [ TEXT ]
CapProv [ TEXT ]
religion :
Country [ TEXT ]
Name [ TEXT ]
Percentage [ REAL ]
river :
Name [ TEXT ] primary_key
River [ TEXT ]
Lake [ TEXT ]
Sea [ TEXT ]
Length [ REAL ]
SourceLongitude [ REAL ]
SourceLatitude [ REAL ]
Mountains [ TEXT ]
SourceAltitude [ REAL ]
EstuaryLongitude [ REAL ]
EstuaryLatitude [ REAL ]
sea :
Name [ TEXT ] primary_key
Depth [ REAL ]
target :
Country [ TEXT ] primary_key
Target [ TEXT ]
Please write me a SQL statement that answers the following question: Which two countries does the Detroit River flow through? Give the full name of the country. [/INST] | SELECT T3.Name FROM located AS T1 INNER JOIN river AS T2 ON T1.River = T2.Name INNER JOIN country AS T3 ON T3.Code = T1.Country WHERE T2.Name = 'Detroit River'; |
[INST] Here is a database schema:
borders :
Country1 [ TEXT ]
Country2 [ TEXT ]
Length [ REAL ]
city :
Name [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
Population [ INTEGER ]
Longitude [ REAL ]
Latitude [ REAL ]
continent :
Name [ TEXT ] primary_key
Area [ REAL ]
country :
Name [ TEXT ]
Code [ TEXT ] primary_key
Capital [ TEXT ]
Province [ TEXT ]
Area [ REAL ]
Population [ INTEGER ]
desert :
Name [ TEXT ] primary_key
Area [ REAL ]
Longitude [ REAL ]
Latitude [ REAL ]
economy :
Country [ TEXT ] primary_key
GDP [ REAL ]
Agriculture [ REAL ]
Service [ REAL ]
Industry [ REAL ]
Inflation [ REAL ]
encompasses :
Country [ TEXT ]
Continent [ TEXT ]
Percentage [ REAL ]
ethnicGroup :
Country [ TEXT ]
Name [ TEXT ]
Percentage [ REAL ]
geo_desert :
Desert [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_estuary :
River [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_island :
Island [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_lake :
Lake [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_mountain :
Mountain [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_river :
River [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_sea :
Sea [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_source :
River [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
island :
Name [ TEXT ] primary_key
Islands [ TEXT ]
Area [ REAL ]
Height [ REAL ]
Type [ TEXT ]
Longitude [ REAL ]
Latitude [ REAL ]
islandIn :
Island [ TEXT ]
Sea [ TEXT ]
Lake [ TEXT ]
River [ TEXT ]
isMember :
Country [ TEXT ]
Organization [ TEXT ]
Type [ TEXT ]
lake :
Name [ TEXT ] primary_key
Area [ REAL ]
Depth [ REAL ]
Altitude [ REAL ]
Type [ TEXT ]
River [ TEXT ]
Longitude [ REAL ]
Latitude [ REAL ]
language :
Country [ TEXT ]
Name [ TEXT ]
Percentage [ REAL ]
located :
City [ TEXT ]
Province [ TEXT ]
Country [ TEXT ]
River [ TEXT ]
Lake [ TEXT ]
Sea [ TEXT ]
locatedOn :
City [ TEXT ]
Province [ TEXT ]
Country [ TEXT ]
Island [ TEXT ]
mergesWith :
Sea1 [ TEXT ]
Sea2 [ TEXT ]
mountain :
Name [ TEXT ] primary_key
Mountains [ TEXT ]
Height [ REAL ]
Type [ TEXT ]
Longitude [ REAL ]
Latitude [ REAL ]
mountainOnIsland :
Mountain [ TEXT ]
Island [ TEXT ]
organization :
Abbreviation [ TEXT ] primary_key
Name [ TEXT ]
City [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
Established [ DATE ]
politics :
Country [ TEXT ] primary_key
Independence [ DATE ]
Dependent [ TEXT ]
Government [ TEXT ]
population :
Country [ TEXT ] primary_key
Population_Growth [ REAL ]
Infant_Mortality [ REAL ]
province :
Name [ TEXT ]
Country [ TEXT ]
Population [ INTEGER ]
Area [ REAL ]
Capital [ TEXT ]
CapProv [ TEXT ]
religion :
Country [ TEXT ]
Name [ TEXT ]
Percentage [ REAL ]
river :
Name [ TEXT ] primary_key
River [ TEXT ]
Lake [ TEXT ]
Sea [ TEXT ]
Length [ REAL ]
SourceLongitude [ REAL ]
SourceLatitude [ REAL ]
Mountains [ TEXT ]
SourceAltitude [ REAL ]
EstuaryLongitude [ REAL ]
EstuaryLatitude [ REAL ]
sea :
Name [ TEXT ] primary_key
Depth [ REAL ]
target :
Country [ TEXT ] primary_key
Target [ TEXT ]
Please write me a SQL statement that answers the following question: Which two countries have the longest border in the world? Give the full name of the country. [/INST] | SELECT T2.Country1, T2.Country2 FROM country AS T1 INNER JOIN borders AS T2 ON T1.Code = T2.Country1 ORDER BY T2.Length DESC LIMIT 1; |
[INST] Here is a database schema:
borders :
Country1 [ TEXT ]
Country2 [ TEXT ]
Length [ REAL ]
city :
Name [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
Population [ INTEGER ]
Longitude [ REAL ]
Latitude [ REAL ]
continent :
Name [ TEXT ] primary_key
Area [ REAL ]
country :
Name [ TEXT ]
Code [ TEXT ] primary_key
Capital [ TEXT ]
Province [ TEXT ]
Area [ REAL ]
Population [ INTEGER ]
desert :
Name [ TEXT ] primary_key
Area [ REAL ]
Longitude [ REAL ]
Latitude [ REAL ]
economy :
Country [ TEXT ] primary_key
GDP [ REAL ]
Agriculture [ REAL ]
Service [ REAL ]
Industry [ REAL ]
Inflation [ REAL ]
encompasses :
Country [ TEXT ]
Continent [ TEXT ]
Percentage [ REAL ]
ethnicGroup :
Country [ TEXT ]
Name [ TEXT ]
Percentage [ REAL ]
geo_desert :
Desert [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_estuary :
River [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_island :
Island [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_lake :
Lake [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_mountain :
Mountain [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_river :
River [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_sea :
Sea [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_source :
River [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
island :
Name [ TEXT ] primary_key
Islands [ TEXT ]
Area [ REAL ]
Height [ REAL ]
Type [ TEXT ]
Longitude [ REAL ]
Latitude [ REAL ]
islandIn :
Island [ TEXT ]
Sea [ TEXT ]
Lake [ TEXT ]
River [ TEXT ]
isMember :
Country [ TEXT ]
Organization [ TEXT ]
Type [ TEXT ]
lake :
Name [ TEXT ] primary_key
Area [ REAL ]
Depth [ REAL ]
Altitude [ REAL ]
Type [ TEXT ]
River [ TEXT ]
Longitude [ REAL ]
Latitude [ REAL ]
language :
Country [ TEXT ]
Name [ TEXT ]
Percentage [ REAL ]
located :
City [ TEXT ]
Province [ TEXT ]
Country [ TEXT ]
River [ TEXT ]
Lake [ TEXT ]
Sea [ TEXT ]
locatedOn :
City [ TEXT ]
Province [ TEXT ]
Country [ TEXT ]
Island [ TEXT ]
mergesWith :
Sea1 [ TEXT ]
Sea2 [ TEXT ]
mountain :
Name [ TEXT ] primary_key
Mountains [ TEXT ]
Height [ REAL ]
Type [ TEXT ]
Longitude [ REAL ]
Latitude [ REAL ]
mountainOnIsland :
Mountain [ TEXT ]
Island [ TEXT ]
organization :
Abbreviation [ TEXT ] primary_key
Name [ TEXT ]
City [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
Established [ DATE ]
politics :
Country [ TEXT ] primary_key
Independence [ DATE ]
Dependent [ TEXT ]
Government [ TEXT ]
population :
Country [ TEXT ] primary_key
Population_Growth [ REAL ]
Infant_Mortality [ REAL ]
province :
Name [ TEXT ]
Country [ TEXT ]
Population [ INTEGER ]
Area [ REAL ]
Capital [ TEXT ]
CapProv [ TEXT ]
religion :
Country [ TEXT ]
Name [ TEXT ]
Percentage [ REAL ]
river :
Name [ TEXT ] primary_key
River [ TEXT ]
Lake [ TEXT ]
Sea [ TEXT ]
Length [ REAL ]
SourceLongitude [ REAL ]
SourceLatitude [ REAL ]
Mountains [ TEXT ]
SourceAltitude [ REAL ]
EstuaryLongitude [ REAL ]
EstuaryLatitude [ REAL ]
sea :
Name [ TEXT ] primary_key
Depth [ REAL ]
target :
Country [ TEXT ] primary_key
Target [ TEXT ]
Please write me a SQL statement that answers the following question: Which country has the most neighbors? Give the full name of the country. [/INST] | SELECT T1.Name FROM country AS T1 INNER JOIN borders AS T2 ON T1.Code = T2.Country1 GROUP BY T1.Name ORDER BY COUNT(T1.Name) DESC LIMIT 1; |
[INST] Here is a database schema:
borders :
Country1 [ TEXT ]
Country2 [ TEXT ]
Length [ REAL ]
city :
Name [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
Population [ INTEGER ]
Longitude [ REAL ]
Latitude [ REAL ]
continent :
Name [ TEXT ] primary_key
Area [ REAL ]
country :
Name [ TEXT ]
Code [ TEXT ] primary_key
Capital [ TEXT ]
Province [ TEXT ]
Area [ REAL ]
Population [ INTEGER ]
desert :
Name [ TEXT ] primary_key
Area [ REAL ]
Longitude [ REAL ]
Latitude [ REAL ]
economy :
Country [ TEXT ] primary_key
GDP [ REAL ]
Agriculture [ REAL ]
Service [ REAL ]
Industry [ REAL ]
Inflation [ REAL ]
encompasses :
Country [ TEXT ]
Continent [ TEXT ]
Percentage [ REAL ]
ethnicGroup :
Country [ TEXT ]
Name [ TEXT ]
Percentage [ REAL ]
geo_desert :
Desert [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_estuary :
River [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_island :
Island [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_lake :
Lake [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_mountain :
Mountain [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_river :
River [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_sea :
Sea [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_source :
River [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
island :
Name [ TEXT ] primary_key
Islands [ TEXT ]
Area [ REAL ]
Height [ REAL ]
Type [ TEXT ]
Longitude [ REAL ]
Latitude [ REAL ]
islandIn :
Island [ TEXT ]
Sea [ TEXT ]
Lake [ TEXT ]
River [ TEXT ]
isMember :
Country [ TEXT ]
Organization [ TEXT ]
Type [ TEXT ]
lake :
Name [ TEXT ] primary_key
Area [ REAL ]
Depth [ REAL ]
Altitude [ REAL ]
Type [ TEXT ]
River [ TEXT ]
Longitude [ REAL ]
Latitude [ REAL ]
language :
Country [ TEXT ]
Name [ TEXT ]
Percentage [ REAL ]
located :
City [ TEXT ]
Province [ TEXT ]
Country [ TEXT ]
River [ TEXT ]
Lake [ TEXT ]
Sea [ TEXT ]
locatedOn :
City [ TEXT ]
Province [ TEXT ]
Country [ TEXT ]
Island [ TEXT ]
mergesWith :
Sea1 [ TEXT ]
Sea2 [ TEXT ]
mountain :
Name [ TEXT ] primary_key
Mountains [ TEXT ]
Height [ REAL ]
Type [ TEXT ]
Longitude [ REAL ]
Latitude [ REAL ]
mountainOnIsland :
Mountain [ TEXT ]
Island [ TEXT ]
organization :
Abbreviation [ TEXT ] primary_key
Name [ TEXT ]
City [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
Established [ DATE ]
politics :
Country [ TEXT ] primary_key
Independence [ DATE ]
Dependent [ TEXT ]
Government [ TEXT ]
population :
Country [ TEXT ] primary_key
Population_Growth [ REAL ]
Infant_Mortality [ REAL ]
province :
Name [ TEXT ]
Country [ TEXT ]
Population [ INTEGER ]
Area [ REAL ]
Capital [ TEXT ]
CapProv [ TEXT ]
religion :
Country [ TEXT ]
Name [ TEXT ]
Percentage [ REAL ]
river :
Name [ TEXT ] primary_key
River [ TEXT ]
Lake [ TEXT ]
Sea [ TEXT ]
Length [ REAL ]
SourceLongitude [ REAL ]
SourceLatitude [ REAL ]
Mountains [ TEXT ]
SourceAltitude [ REAL ]
EstuaryLongitude [ REAL ]
EstuaryLatitude [ REAL ]
sea :
Name [ TEXT ] primary_key
Depth [ REAL ]
target :
Country [ TEXT ] primary_key
Target [ TEXT ]
Please write me a SQL statement that answers the following question: Which country is Mountain Cerro Chirripo located in? Give the full name of the country. [/INST] | SELECT DISTINCT T1.Name FROM country AS T1 INNER JOIN geo_mountain AS T2 ON T1.Code = T2.Country WHERE T2.Mountain = 'Cerro Chirripo'; |
[INST] Here is a database schema:
borders :
Country1 [ TEXT ]
Country2 [ TEXT ]
Length [ REAL ]
city :
Name [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
Population [ INTEGER ]
Longitude [ REAL ]
Latitude [ REAL ]
continent :
Name [ TEXT ] primary_key
Area [ REAL ]
country :
Name [ TEXT ]
Code [ TEXT ] primary_key
Capital [ TEXT ]
Province [ TEXT ]
Area [ REAL ]
Population [ INTEGER ]
desert :
Name [ TEXT ] primary_key
Area [ REAL ]
Longitude [ REAL ]
Latitude [ REAL ]
economy :
Country [ TEXT ] primary_key
GDP [ REAL ]
Agriculture [ REAL ]
Service [ REAL ]
Industry [ REAL ]
Inflation [ REAL ]
encompasses :
Country [ TEXT ]
Continent [ TEXT ]
Percentage [ REAL ]
ethnicGroup :
Country [ TEXT ]
Name [ TEXT ]
Percentage [ REAL ]
geo_desert :
Desert [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_estuary :
River [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_island :
Island [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_lake :
Lake [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_mountain :
Mountain [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_river :
River [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_sea :
Sea [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_source :
River [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
island :
Name [ TEXT ] primary_key
Islands [ TEXT ]
Area [ REAL ]
Height [ REAL ]
Type [ TEXT ]
Longitude [ REAL ]
Latitude [ REAL ]
islandIn :
Island [ TEXT ]
Sea [ TEXT ]
Lake [ TEXT ]
River [ TEXT ]
isMember :
Country [ TEXT ]
Organization [ TEXT ]
Type [ TEXT ]
lake :
Name [ TEXT ] primary_key
Area [ REAL ]
Depth [ REAL ]
Altitude [ REAL ]
Type [ TEXT ]
River [ TEXT ]
Longitude [ REAL ]
Latitude [ REAL ]
language :
Country [ TEXT ]
Name [ TEXT ]
Percentage [ REAL ]
located :
City [ TEXT ]
Province [ TEXT ]
Country [ TEXT ]
River [ TEXT ]
Lake [ TEXT ]
Sea [ TEXT ]
locatedOn :
City [ TEXT ]
Province [ TEXT ]
Country [ TEXT ]
Island [ TEXT ]
mergesWith :
Sea1 [ TEXT ]
Sea2 [ TEXT ]
mountain :
Name [ TEXT ] primary_key
Mountains [ TEXT ]
Height [ REAL ]
Type [ TEXT ]
Longitude [ REAL ]
Latitude [ REAL ]
mountainOnIsland :
Mountain [ TEXT ]
Island [ TEXT ]
organization :
Abbreviation [ TEXT ] primary_key
Name [ TEXT ]
City [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
Established [ DATE ]
politics :
Country [ TEXT ] primary_key
Independence [ DATE ]
Dependent [ TEXT ]
Government [ TEXT ]
population :
Country [ TEXT ] primary_key
Population_Growth [ REAL ]
Infant_Mortality [ REAL ]
province :
Name [ TEXT ]
Country [ TEXT ]
Population [ INTEGER ]
Area [ REAL ]
Capital [ TEXT ]
CapProv [ TEXT ]
religion :
Country [ TEXT ]
Name [ TEXT ]
Percentage [ REAL ]
river :
Name [ TEXT ] primary_key
River [ TEXT ]
Lake [ TEXT ]
Sea [ TEXT ]
Length [ REAL ]
SourceLongitude [ REAL ]
SourceLatitude [ REAL ]
Mountains [ TEXT ]
SourceAltitude [ REAL ]
EstuaryLongitude [ REAL ]
EstuaryLatitude [ REAL ]
sea :
Name [ TEXT ] primary_key
Depth [ REAL ]
target :
Country [ TEXT ] primary_key
Target [ TEXT ]
Please write me a SQL statement that answers the following question: How many mountains are there in Indonesia? [/INST] | SELECT COUNT(DISTINCT T2.Mountain) FROM country AS T1 INNER JOIN geo_mountain AS T2 ON T1.Code = T2.Country WHERE T1.Name = 'Indonesia'; |
[INST] Here is a database schema:
borders :
Country1 [ TEXT ]
Country2 [ TEXT ]
Length [ REAL ]
city :
Name [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
Population [ INTEGER ]
Longitude [ REAL ]
Latitude [ REAL ]
continent :
Name [ TEXT ] primary_key
Area [ REAL ]
country :
Name [ TEXT ]
Code [ TEXT ] primary_key
Capital [ TEXT ]
Province [ TEXT ]
Area [ REAL ]
Population [ INTEGER ]
desert :
Name [ TEXT ] primary_key
Area [ REAL ]
Longitude [ REAL ]
Latitude [ REAL ]
economy :
Country [ TEXT ] primary_key
GDP [ REAL ]
Agriculture [ REAL ]
Service [ REAL ]
Industry [ REAL ]
Inflation [ REAL ]
encompasses :
Country [ TEXT ]
Continent [ TEXT ]
Percentage [ REAL ]
ethnicGroup :
Country [ TEXT ]
Name [ TEXT ]
Percentage [ REAL ]
geo_desert :
Desert [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_estuary :
River [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_island :
Island [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_lake :
Lake [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_mountain :
Mountain [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_river :
River [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_sea :
Sea [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_source :
River [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
island :
Name [ TEXT ] primary_key
Islands [ TEXT ]
Area [ REAL ]
Height [ REAL ]
Type [ TEXT ]
Longitude [ REAL ]
Latitude [ REAL ]
islandIn :
Island [ TEXT ]
Sea [ TEXT ]
Lake [ TEXT ]
River [ TEXT ]
isMember :
Country [ TEXT ]
Organization [ TEXT ]
Type [ TEXT ]
lake :
Name [ TEXT ] primary_key
Area [ REAL ]
Depth [ REAL ]
Altitude [ REAL ]
Type [ TEXT ]
River [ TEXT ]
Longitude [ REAL ]
Latitude [ REAL ]
language :
Country [ TEXT ]
Name [ TEXT ]
Percentage [ REAL ]
located :
City [ TEXT ]
Province [ TEXT ]
Country [ TEXT ]
River [ TEXT ]
Lake [ TEXT ]
Sea [ TEXT ]
locatedOn :
City [ TEXT ]
Province [ TEXT ]
Country [ TEXT ]
Island [ TEXT ]
mergesWith :
Sea1 [ TEXT ]
Sea2 [ TEXT ]
mountain :
Name [ TEXT ] primary_key
Mountains [ TEXT ]
Height [ REAL ]
Type [ TEXT ]
Longitude [ REAL ]
Latitude [ REAL ]
mountainOnIsland :
Mountain [ TEXT ]
Island [ TEXT ]
organization :
Abbreviation [ TEXT ] primary_key
Name [ TEXT ]
City [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
Established [ DATE ]
politics :
Country [ TEXT ] primary_key
Independence [ DATE ]
Dependent [ TEXT ]
Government [ TEXT ]
population :
Country [ TEXT ] primary_key
Population_Growth [ REAL ]
Infant_Mortality [ REAL ]
province :
Name [ TEXT ]
Country [ TEXT ]
Population [ INTEGER ]
Area [ REAL ]
Capital [ TEXT ]
CapProv [ TEXT ]
religion :
Country [ TEXT ]
Name [ TEXT ]
Percentage [ REAL ]
river :
Name [ TEXT ] primary_key
River [ TEXT ]
Lake [ TEXT ]
Sea [ TEXT ]
Length [ REAL ]
SourceLongitude [ REAL ]
SourceLatitude [ REAL ]
Mountains [ TEXT ]
SourceAltitude [ REAL ]
EstuaryLongitude [ REAL ]
EstuaryLatitude [ REAL ]
sea :
Name [ TEXT ] primary_key
Depth [ REAL ]
target :
Country [ TEXT ] primary_key
Target [ TEXT ]
Please write me a SQL statement that answers the following question: What is the quantity of the mountains does Japan have? [/INST] | SELECT COUNT(DISTINCT T2.Mountain) FROM country AS T1 INNER JOIN geo_mountain AS T2 ON T1.Code = T2.Country WHERE T1.Name = 'Japan'; |
[INST] Here is a database schema:
borders :
Country1 [ TEXT ]
Country2 [ TEXT ]
Length [ REAL ]
city :
Name [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
Population [ INTEGER ]
Longitude [ REAL ]
Latitude [ REAL ]
continent :
Name [ TEXT ] primary_key
Area [ REAL ]
country :
Name [ TEXT ]
Code [ TEXT ] primary_key
Capital [ TEXT ]
Province [ TEXT ]
Area [ REAL ]
Population [ INTEGER ]
desert :
Name [ TEXT ] primary_key
Area [ REAL ]
Longitude [ REAL ]
Latitude [ REAL ]
economy :
Country [ TEXT ] primary_key
GDP [ REAL ]
Agriculture [ REAL ]
Service [ REAL ]
Industry [ REAL ]
Inflation [ REAL ]
encompasses :
Country [ TEXT ]
Continent [ TEXT ]
Percentage [ REAL ]
ethnicGroup :
Country [ TEXT ]
Name [ TEXT ]
Percentage [ REAL ]
geo_desert :
Desert [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_estuary :
River [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_island :
Island [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_lake :
Lake [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_mountain :
Mountain [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_river :
River [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_sea :
Sea [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_source :
River [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
island :
Name [ TEXT ] primary_key
Islands [ TEXT ]
Area [ REAL ]
Height [ REAL ]
Type [ TEXT ]
Longitude [ REAL ]
Latitude [ REAL ]
islandIn :
Island [ TEXT ]
Sea [ TEXT ]
Lake [ TEXT ]
River [ TEXT ]
isMember :
Country [ TEXT ]
Organization [ TEXT ]
Type [ TEXT ]
lake :
Name [ TEXT ] primary_key
Area [ REAL ]
Depth [ REAL ]
Altitude [ REAL ]
Type [ TEXT ]
River [ TEXT ]
Longitude [ REAL ]
Latitude [ REAL ]
language :
Country [ TEXT ]
Name [ TEXT ]
Percentage [ REAL ]
located :
City [ TEXT ]
Province [ TEXT ]
Country [ TEXT ]
River [ TEXT ]
Lake [ TEXT ]
Sea [ TEXT ]
locatedOn :
City [ TEXT ]
Province [ TEXT ]
Country [ TEXT ]
Island [ TEXT ]
mergesWith :
Sea1 [ TEXT ]
Sea2 [ TEXT ]
mountain :
Name [ TEXT ] primary_key
Mountains [ TEXT ]
Height [ REAL ]
Type [ TEXT ]
Longitude [ REAL ]
Latitude [ REAL ]
mountainOnIsland :
Mountain [ TEXT ]
Island [ TEXT ]
organization :
Abbreviation [ TEXT ] primary_key
Name [ TEXT ]
City [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
Established [ DATE ]
politics :
Country [ TEXT ] primary_key
Independence [ DATE ]
Dependent [ TEXT ]
Government [ TEXT ]
population :
Country [ TEXT ] primary_key
Population_Growth [ REAL ]
Infant_Mortality [ REAL ]
province :
Name [ TEXT ]
Country [ TEXT ]
Population [ INTEGER ]
Area [ REAL ]
Capital [ TEXT ]
CapProv [ TEXT ]
religion :
Country [ TEXT ]
Name [ TEXT ]
Percentage [ REAL ]
river :
Name [ TEXT ] primary_key
River [ TEXT ]
Lake [ TEXT ]
Sea [ TEXT ]
Length [ REAL ]
SourceLongitude [ REAL ]
SourceLatitude [ REAL ]
Mountains [ TEXT ]
SourceAltitude [ REAL ]
EstuaryLongitude [ REAL ]
EstuaryLatitude [ REAL ]
sea :
Name [ TEXT ] primary_key
Depth [ REAL ]
target :
Country [ TEXT ] primary_key
Target [ TEXT ]
Please write me a SQL statement that answers the following question: What is the latitude of the island on which Mount Andrinjitra is located? [/INST] | SELECT T1.Latitude FROM island AS T1 INNER JOIN mountainOnIsland AS T2 ON T1.Name = T2.Island WHERE T2.Mountain = 'Andringitra'; |
[INST] Here is a database schema:
borders :
Country1 [ TEXT ]
Country2 [ TEXT ]
Length [ REAL ]
city :
Name [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
Population [ INTEGER ]
Longitude [ REAL ]
Latitude [ REAL ]
continent :
Name [ TEXT ] primary_key
Area [ REAL ]
country :
Name [ TEXT ]
Code [ TEXT ] primary_key
Capital [ TEXT ]
Province [ TEXT ]
Area [ REAL ]
Population [ INTEGER ]
desert :
Name [ TEXT ] primary_key
Area [ REAL ]
Longitude [ REAL ]
Latitude [ REAL ]
economy :
Country [ TEXT ] primary_key
GDP [ REAL ]
Agriculture [ REAL ]
Service [ REAL ]
Industry [ REAL ]
Inflation [ REAL ]
encompasses :
Country [ TEXT ]
Continent [ TEXT ]
Percentage [ REAL ]
ethnicGroup :
Country [ TEXT ]
Name [ TEXT ]
Percentage [ REAL ]
geo_desert :
Desert [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_estuary :
River [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_island :
Island [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_lake :
Lake [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_mountain :
Mountain [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_river :
River [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_sea :
Sea [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_source :
River [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
island :
Name [ TEXT ] primary_key
Islands [ TEXT ]
Area [ REAL ]
Height [ REAL ]
Type [ TEXT ]
Longitude [ REAL ]
Latitude [ REAL ]
islandIn :
Island [ TEXT ]
Sea [ TEXT ]
Lake [ TEXT ]
River [ TEXT ]
isMember :
Country [ TEXT ]
Organization [ TEXT ]
Type [ TEXT ]
lake :
Name [ TEXT ] primary_key
Area [ REAL ]
Depth [ REAL ]
Altitude [ REAL ]
Type [ TEXT ]
River [ TEXT ]
Longitude [ REAL ]
Latitude [ REAL ]
language :
Country [ TEXT ]
Name [ TEXT ]
Percentage [ REAL ]
located :
City [ TEXT ]
Province [ TEXT ]
Country [ TEXT ]
River [ TEXT ]
Lake [ TEXT ]
Sea [ TEXT ]
locatedOn :
City [ TEXT ]
Province [ TEXT ]
Country [ TEXT ]
Island [ TEXT ]
mergesWith :
Sea1 [ TEXT ]
Sea2 [ TEXT ]
mountain :
Name [ TEXT ] primary_key
Mountains [ TEXT ]
Height [ REAL ]
Type [ TEXT ]
Longitude [ REAL ]
Latitude [ REAL ]
mountainOnIsland :
Mountain [ TEXT ]
Island [ TEXT ]
organization :
Abbreviation [ TEXT ] primary_key
Name [ TEXT ]
City [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
Established [ DATE ]
politics :
Country [ TEXT ] primary_key
Independence [ DATE ]
Dependent [ TEXT ]
Government [ TEXT ]
population :
Country [ TEXT ] primary_key
Population_Growth [ REAL ]
Infant_Mortality [ REAL ]
province :
Name [ TEXT ]
Country [ TEXT ]
Population [ INTEGER ]
Area [ REAL ]
Capital [ TEXT ]
CapProv [ TEXT ]
religion :
Country [ TEXT ]
Name [ TEXT ]
Percentage [ REAL ]
river :
Name [ TEXT ] primary_key
River [ TEXT ]
Lake [ TEXT ]
Sea [ TEXT ]
Length [ REAL ]
SourceLongitude [ REAL ]
SourceLatitude [ REAL ]
Mountains [ TEXT ]
SourceAltitude [ REAL ]
EstuaryLongitude [ REAL ]
EstuaryLatitude [ REAL ]
sea :
Name [ TEXT ] primary_key
Depth [ REAL ]
target :
Country [ TEXT ] primary_key
Target [ TEXT ]
Please write me a SQL statement that answers the following question: Which two countries share the second highest mountain? Give the country code. [/INST] | SELECT T1.Code FROM country AS T1 INNER JOIN geo_mountain AS T2 ON T1.Code = T2.Country WHERE T2.Mountain = ( SELECT Name FROM mountain ORDER BY Height DESC LIMIT 1, 1 ); |
[INST] Here is a database schema:
borders :
Country1 [ TEXT ]
Country2 [ TEXT ]
Length [ REAL ]
city :
Name [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
Population [ INTEGER ]
Longitude [ REAL ]
Latitude [ REAL ]
continent :
Name [ TEXT ] primary_key
Area [ REAL ]
country :
Name [ TEXT ]
Code [ TEXT ] primary_key
Capital [ TEXT ]
Province [ TEXT ]
Area [ REAL ]
Population [ INTEGER ]
desert :
Name [ TEXT ] primary_key
Area [ REAL ]
Longitude [ REAL ]
Latitude [ REAL ]
economy :
Country [ TEXT ] primary_key
GDP [ REAL ]
Agriculture [ REAL ]
Service [ REAL ]
Industry [ REAL ]
Inflation [ REAL ]
encompasses :
Country [ TEXT ]
Continent [ TEXT ]
Percentage [ REAL ]
ethnicGroup :
Country [ TEXT ]
Name [ TEXT ]
Percentage [ REAL ]
geo_desert :
Desert [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_estuary :
River [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_island :
Island [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_lake :
Lake [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_mountain :
Mountain [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_river :
River [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_sea :
Sea [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_source :
River [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
island :
Name [ TEXT ] primary_key
Islands [ TEXT ]
Area [ REAL ]
Height [ REAL ]
Type [ TEXT ]
Longitude [ REAL ]
Latitude [ REAL ]
islandIn :
Island [ TEXT ]
Sea [ TEXT ]
Lake [ TEXT ]
River [ TEXT ]
isMember :
Country [ TEXT ]
Organization [ TEXT ]
Type [ TEXT ]
lake :
Name [ TEXT ] primary_key
Area [ REAL ]
Depth [ REAL ]
Altitude [ REAL ]
Type [ TEXT ]
River [ TEXT ]
Longitude [ REAL ]
Latitude [ REAL ]
language :
Country [ TEXT ]
Name [ TEXT ]
Percentage [ REAL ]
located :
City [ TEXT ]
Province [ TEXT ]
Country [ TEXT ]
River [ TEXT ]
Lake [ TEXT ]
Sea [ TEXT ]
locatedOn :
City [ TEXT ]
Province [ TEXT ]
Country [ TEXT ]
Island [ TEXT ]
mergesWith :
Sea1 [ TEXT ]
Sea2 [ TEXT ]
mountain :
Name [ TEXT ] primary_key
Mountains [ TEXT ]
Height [ REAL ]
Type [ TEXT ]
Longitude [ REAL ]
Latitude [ REAL ]
mountainOnIsland :
Mountain [ TEXT ]
Island [ TEXT ]
organization :
Abbreviation [ TEXT ] primary_key
Name [ TEXT ]
City [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
Established [ DATE ]
politics :
Country [ TEXT ] primary_key
Independence [ DATE ]
Dependent [ TEXT ]
Government [ TEXT ]
population :
Country [ TEXT ] primary_key
Population_Growth [ REAL ]
Infant_Mortality [ REAL ]
province :
Name [ TEXT ]
Country [ TEXT ]
Population [ INTEGER ]
Area [ REAL ]
Capital [ TEXT ]
CapProv [ TEXT ]
religion :
Country [ TEXT ]
Name [ TEXT ]
Percentage [ REAL ]
river :
Name [ TEXT ] primary_key
River [ TEXT ]
Lake [ TEXT ]
Sea [ TEXT ]
Length [ REAL ]
SourceLongitude [ REAL ]
SourceLatitude [ REAL ]
Mountains [ TEXT ]
SourceAltitude [ REAL ]
EstuaryLongitude [ REAL ]
EstuaryLatitude [ REAL ]
sea :
Name [ TEXT ] primary_key
Depth [ REAL ]
target :
Country [ TEXT ] primary_key
Target [ TEXT ]
Please write me a SQL statement that answers the following question: What is the area of Egypt as a percentage of Asia? [/INST] | SELECT T2.Percentage FROM country AS T1 INNER JOIN encompasses AS T2 ON T1.Code = T2.Country INNER JOIN continent AS T3 ON T3.Name = T2.Continent WHERE T3.Name = 'Asia' AND T1.Name = 'Egypt'; |
[INST] Here is a database schema:
borders :
Country1 [ TEXT ]
Country2 [ TEXT ]
Length [ REAL ]
city :
Name [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
Population [ INTEGER ]
Longitude [ REAL ]
Latitude [ REAL ]
continent :
Name [ TEXT ] primary_key
Area [ REAL ]
country :
Name [ TEXT ]
Code [ TEXT ] primary_key
Capital [ TEXT ]
Province [ TEXT ]
Area [ REAL ]
Population [ INTEGER ]
desert :
Name [ TEXT ] primary_key
Area [ REAL ]
Longitude [ REAL ]
Latitude [ REAL ]
economy :
Country [ TEXT ] primary_key
GDP [ REAL ]
Agriculture [ REAL ]
Service [ REAL ]
Industry [ REAL ]
Inflation [ REAL ]
encompasses :
Country [ TEXT ]
Continent [ TEXT ]
Percentage [ REAL ]
ethnicGroup :
Country [ TEXT ]
Name [ TEXT ]
Percentage [ REAL ]
geo_desert :
Desert [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_estuary :
River [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_island :
Island [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_lake :
Lake [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_mountain :
Mountain [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_river :
River [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_sea :
Sea [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_source :
River [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
island :
Name [ TEXT ] primary_key
Islands [ TEXT ]
Area [ REAL ]
Height [ REAL ]
Type [ TEXT ]
Longitude [ REAL ]
Latitude [ REAL ]
islandIn :
Island [ TEXT ]
Sea [ TEXT ]
Lake [ TEXT ]
River [ TEXT ]
isMember :
Country [ TEXT ]
Organization [ TEXT ]
Type [ TEXT ]
lake :
Name [ TEXT ] primary_key
Area [ REAL ]
Depth [ REAL ]
Altitude [ REAL ]
Type [ TEXT ]
River [ TEXT ]
Longitude [ REAL ]
Latitude [ REAL ]
language :
Country [ TEXT ]
Name [ TEXT ]
Percentage [ REAL ]
located :
City [ TEXT ]
Province [ TEXT ]
Country [ TEXT ]
River [ TEXT ]
Lake [ TEXT ]
Sea [ TEXT ]
locatedOn :
City [ TEXT ]
Province [ TEXT ]
Country [ TEXT ]
Island [ TEXT ]
mergesWith :
Sea1 [ TEXT ]
Sea2 [ TEXT ]
mountain :
Name [ TEXT ] primary_key
Mountains [ TEXT ]
Height [ REAL ]
Type [ TEXT ]
Longitude [ REAL ]
Latitude [ REAL ]
mountainOnIsland :
Mountain [ TEXT ]
Island [ TEXT ]
organization :
Abbreviation [ TEXT ] primary_key
Name [ TEXT ]
City [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
Established [ DATE ]
politics :
Country [ TEXT ] primary_key
Independence [ DATE ]
Dependent [ TEXT ]
Government [ TEXT ]
population :
Country [ TEXT ] primary_key
Population_Growth [ REAL ]
Infant_Mortality [ REAL ]
province :
Name [ TEXT ]
Country [ TEXT ]
Population [ INTEGER ]
Area [ REAL ]
Capital [ TEXT ]
CapProv [ TEXT ]
religion :
Country [ TEXT ]
Name [ TEXT ]
Percentage [ REAL ]
river :
Name [ TEXT ] primary_key
River [ TEXT ]
Lake [ TEXT ]
Sea [ TEXT ]
Length [ REAL ]
SourceLongitude [ REAL ]
SourceLatitude [ REAL ]
Mountains [ TEXT ]
SourceAltitude [ REAL ]
EstuaryLongitude [ REAL ]
EstuaryLatitude [ REAL ]
sea :
Name [ TEXT ] primary_key
Depth [ REAL ]
target :
Country [ TEXT ] primary_key
Target [ TEXT ]
Please write me a SQL statement that answers the following question: What is the area of Egypt as a percentage of Asia? [/INST] | SELECT T1.Area * 100 / T3.Area FROM country AS T1 INNER JOIN encompasses AS T2 ON T1.Code = T2.Country INNER JOIN continent AS T3 ON T3.Name = T2.Continent WHERE T3.Name = 'Asia' AND T1.Name = 'Egypt'; |
[INST] Here is a database schema:
borders :
Country1 [ TEXT ]
Country2 [ TEXT ]
Length [ REAL ]
city :
Name [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
Population [ INTEGER ]
Longitude [ REAL ]
Latitude [ REAL ]
continent :
Name [ TEXT ] primary_key
Area [ REAL ]
country :
Name [ TEXT ]
Code [ TEXT ] primary_key
Capital [ TEXT ]
Province [ TEXT ]
Area [ REAL ]
Population [ INTEGER ]
desert :
Name [ TEXT ] primary_key
Area [ REAL ]
Longitude [ REAL ]
Latitude [ REAL ]
economy :
Country [ TEXT ] primary_key
GDP [ REAL ]
Agriculture [ REAL ]
Service [ REAL ]
Industry [ REAL ]
Inflation [ REAL ]
encompasses :
Country [ TEXT ]
Continent [ TEXT ]
Percentage [ REAL ]
ethnicGroup :
Country [ TEXT ]
Name [ TEXT ]
Percentage [ REAL ]
geo_desert :
Desert [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_estuary :
River [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_island :
Island [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_lake :
Lake [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_mountain :
Mountain [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_river :
River [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_sea :
Sea [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_source :
River [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
island :
Name [ TEXT ] primary_key
Islands [ TEXT ]
Area [ REAL ]
Height [ REAL ]
Type [ TEXT ]
Longitude [ REAL ]
Latitude [ REAL ]
islandIn :
Island [ TEXT ]
Sea [ TEXT ]
Lake [ TEXT ]
River [ TEXT ]
isMember :
Country [ TEXT ]
Organization [ TEXT ]
Type [ TEXT ]
lake :
Name [ TEXT ] primary_key
Area [ REAL ]
Depth [ REAL ]
Altitude [ REAL ]
Type [ TEXT ]
River [ TEXT ]
Longitude [ REAL ]
Latitude [ REAL ]
language :
Country [ TEXT ]
Name [ TEXT ]
Percentage [ REAL ]
located :
City [ TEXT ]
Province [ TEXT ]
Country [ TEXT ]
River [ TEXT ]
Lake [ TEXT ]
Sea [ TEXT ]
locatedOn :
City [ TEXT ]
Province [ TEXT ]
Country [ TEXT ]
Island [ TEXT ]
mergesWith :
Sea1 [ TEXT ]
Sea2 [ TEXT ]
mountain :
Name [ TEXT ] primary_key
Mountains [ TEXT ]
Height [ REAL ]
Type [ TEXT ]
Longitude [ REAL ]
Latitude [ REAL ]
mountainOnIsland :
Mountain [ TEXT ]
Island [ TEXT ]
organization :
Abbreviation [ TEXT ] primary_key
Name [ TEXT ]
City [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
Established [ DATE ]
politics :
Country [ TEXT ] primary_key
Independence [ DATE ]
Dependent [ TEXT ]
Government [ TEXT ]
population :
Country [ TEXT ] primary_key
Population_Growth [ REAL ]
Infant_Mortality [ REAL ]
province :
Name [ TEXT ]
Country [ TEXT ]
Population [ INTEGER ]
Area [ REAL ]
Capital [ TEXT ]
CapProv [ TEXT ]
religion :
Country [ TEXT ]
Name [ TEXT ]
Percentage [ REAL ]
river :
Name [ TEXT ] primary_key
River [ TEXT ]
Lake [ TEXT ]
Sea [ TEXT ]
Length [ REAL ]
SourceLongitude [ REAL ]
SourceLatitude [ REAL ]
Mountains [ TEXT ]
SourceAltitude [ REAL ]
EstuaryLongitude [ REAL ]
EstuaryLatitude [ REAL ]
sea :
Name [ TEXT ] primary_key
Depth [ REAL ]
target :
Country [ TEXT ] primary_key
Target [ TEXT ]
Please write me a SQL statement that answers the following question: Which city in Japan has the most people in the country? [/INST] | SELECT T2.Name FROM country AS T1 INNER JOIN city AS T2 ON T1.Code = T2.Country WHERE T1.Name = 'Japan' ORDER BY T2.Population DESC LIMIT 1; |
[INST] Here is a database schema:
borders :
Country1 [ TEXT ]
Country2 [ TEXT ]
Length [ REAL ]
city :
Name [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
Population [ INTEGER ]
Longitude [ REAL ]
Latitude [ REAL ]
continent :
Name [ TEXT ] primary_key
Area [ REAL ]
country :
Name [ TEXT ]
Code [ TEXT ] primary_key
Capital [ TEXT ]
Province [ TEXT ]
Area [ REAL ]
Population [ INTEGER ]
desert :
Name [ TEXT ] primary_key
Area [ REAL ]
Longitude [ REAL ]
Latitude [ REAL ]
economy :
Country [ TEXT ] primary_key
GDP [ REAL ]
Agriculture [ REAL ]
Service [ REAL ]
Industry [ REAL ]
Inflation [ REAL ]
encompasses :
Country [ TEXT ]
Continent [ TEXT ]
Percentage [ REAL ]
ethnicGroup :
Country [ TEXT ]
Name [ TEXT ]
Percentage [ REAL ]
geo_desert :
Desert [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_estuary :
River [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_island :
Island [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_lake :
Lake [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_mountain :
Mountain [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_river :
River [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_sea :
Sea [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_source :
River [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
island :
Name [ TEXT ] primary_key
Islands [ TEXT ]
Area [ REAL ]
Height [ REAL ]
Type [ TEXT ]
Longitude [ REAL ]
Latitude [ REAL ]
islandIn :
Island [ TEXT ]
Sea [ TEXT ]
Lake [ TEXT ]
River [ TEXT ]
isMember :
Country [ TEXT ]
Organization [ TEXT ]
Type [ TEXT ]
lake :
Name [ TEXT ] primary_key
Area [ REAL ]
Depth [ REAL ]
Altitude [ REAL ]
Type [ TEXT ]
River [ TEXT ]
Longitude [ REAL ]
Latitude [ REAL ]
language :
Country [ TEXT ]
Name [ TEXT ]
Percentage [ REAL ]
located :
City [ TEXT ]
Province [ TEXT ]
Country [ TEXT ]
River [ TEXT ]
Lake [ TEXT ]
Sea [ TEXT ]
locatedOn :
City [ TEXT ]
Province [ TEXT ]
Country [ TEXT ]
Island [ TEXT ]
mergesWith :
Sea1 [ TEXT ]
Sea2 [ TEXT ]
mountain :
Name [ TEXT ] primary_key
Mountains [ TEXT ]
Height [ REAL ]
Type [ TEXT ]
Longitude [ REAL ]
Latitude [ REAL ]
mountainOnIsland :
Mountain [ TEXT ]
Island [ TEXT ]
organization :
Abbreviation [ TEXT ] primary_key
Name [ TEXT ]
City [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
Established [ DATE ]
politics :
Country [ TEXT ] primary_key
Independence [ DATE ]
Dependent [ TEXT ]
Government [ TEXT ]
population :
Country [ TEXT ] primary_key
Population_Growth [ REAL ]
Infant_Mortality [ REAL ]
province :
Name [ TEXT ]
Country [ TEXT ]
Population [ INTEGER ]
Area [ REAL ]
Capital [ TEXT ]
CapProv [ TEXT ]
religion :
Country [ TEXT ]
Name [ TEXT ]
Percentage [ REAL ]
river :
Name [ TEXT ] primary_key
River [ TEXT ]
Lake [ TEXT ]
Sea [ TEXT ]
Length [ REAL ]
SourceLongitude [ REAL ]
SourceLatitude [ REAL ]
Mountains [ TEXT ]
SourceAltitude [ REAL ]
EstuaryLongitude [ REAL ]
EstuaryLatitude [ REAL ]
sea :
Name [ TEXT ] primary_key
Depth [ REAL ]
target :
Country [ TEXT ] primary_key
Target [ TEXT ]
Please write me a SQL statement that answers the following question: For the country in which Olsztyn is located, where is the capital? [/INST] | SELECT T1.Capital FROM country AS T1 INNER JOIN city AS T2 ON T1.Code = T2.Country WHERE T2.Name = 'Olsztyn'; |
[INST] Here is a database schema:
borders :
Country1 [ TEXT ]
Country2 [ TEXT ]
Length [ REAL ]
city :
Name [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
Population [ INTEGER ]
Longitude [ REAL ]
Latitude [ REAL ]
continent :
Name [ TEXT ] primary_key
Area [ REAL ]
country :
Name [ TEXT ]
Code [ TEXT ] primary_key
Capital [ TEXT ]
Province [ TEXT ]
Area [ REAL ]
Population [ INTEGER ]
desert :
Name [ TEXT ] primary_key
Area [ REAL ]
Longitude [ REAL ]
Latitude [ REAL ]
economy :
Country [ TEXT ] primary_key
GDP [ REAL ]
Agriculture [ REAL ]
Service [ REAL ]
Industry [ REAL ]
Inflation [ REAL ]
encompasses :
Country [ TEXT ]
Continent [ TEXT ]
Percentage [ REAL ]
ethnicGroup :
Country [ TEXT ]
Name [ TEXT ]
Percentage [ REAL ]
geo_desert :
Desert [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_estuary :
River [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_island :
Island [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_lake :
Lake [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_mountain :
Mountain [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_river :
River [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_sea :
Sea [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_source :
River [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
island :
Name [ TEXT ] primary_key
Islands [ TEXT ]
Area [ REAL ]
Height [ REAL ]
Type [ TEXT ]
Longitude [ REAL ]
Latitude [ REAL ]
islandIn :
Island [ TEXT ]
Sea [ TEXT ]
Lake [ TEXT ]
River [ TEXT ]
isMember :
Country [ TEXT ]
Organization [ TEXT ]
Type [ TEXT ]
lake :
Name [ TEXT ] primary_key
Area [ REAL ]
Depth [ REAL ]
Altitude [ REAL ]
Type [ TEXT ]
River [ TEXT ]
Longitude [ REAL ]
Latitude [ REAL ]
language :
Country [ TEXT ]
Name [ TEXT ]
Percentage [ REAL ]
located :
City [ TEXT ]
Province [ TEXT ]
Country [ TEXT ]
River [ TEXT ]
Lake [ TEXT ]
Sea [ TEXT ]
locatedOn :
City [ TEXT ]
Province [ TEXT ]
Country [ TEXT ]
Island [ TEXT ]
mergesWith :
Sea1 [ TEXT ]
Sea2 [ TEXT ]
mountain :
Name [ TEXT ] primary_key
Mountains [ TEXT ]
Height [ REAL ]
Type [ TEXT ]
Longitude [ REAL ]
Latitude [ REAL ]
mountainOnIsland :
Mountain [ TEXT ]
Island [ TEXT ]
organization :
Abbreviation [ TEXT ] primary_key
Name [ TEXT ]
City [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
Established [ DATE ]
politics :
Country [ TEXT ] primary_key
Independence [ DATE ]
Dependent [ TEXT ]
Government [ TEXT ]
population :
Country [ TEXT ] primary_key
Population_Growth [ REAL ]
Infant_Mortality [ REAL ]
province :
Name [ TEXT ]
Country [ TEXT ]
Population [ INTEGER ]
Area [ REAL ]
Capital [ TEXT ]
CapProv [ TEXT ]
religion :
Country [ TEXT ]
Name [ TEXT ]
Percentage [ REAL ]
river :
Name [ TEXT ] primary_key
River [ TEXT ]
Lake [ TEXT ]
Sea [ TEXT ]
Length [ REAL ]
SourceLongitude [ REAL ]
SourceLatitude [ REAL ]
Mountains [ TEXT ]
SourceAltitude [ REAL ]
EstuaryLongitude [ REAL ]
EstuaryLatitude [ REAL ]
sea :
Name [ TEXT ] primary_key
Depth [ REAL ]
target :
Country [ TEXT ] primary_key
Target [ TEXT ]
Please write me a SQL statement that answers the following question: In which province is the highest volcano mountain located in? [/INST] | SELECT T1.Province FROM country AS T1 INNER JOIN geo_mountain AS T2 ON T1.Code = T2.Country INNER JOIN mountain AS T3 ON T3.Name = T2.Mountain WHERE T3.Type = 'volcano' ORDER BY T3.Height DESC LIMIT 1; |
[INST] Here is a database schema:
borders :
Country1 [ TEXT ]
Country2 [ TEXT ]
Length [ REAL ]
city :
Name [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
Population [ INTEGER ]
Longitude [ REAL ]
Latitude [ REAL ]
continent :
Name [ TEXT ] primary_key
Area [ REAL ]
country :
Name [ TEXT ]
Code [ TEXT ] primary_key
Capital [ TEXT ]
Province [ TEXT ]
Area [ REAL ]
Population [ INTEGER ]
desert :
Name [ TEXT ] primary_key
Area [ REAL ]
Longitude [ REAL ]
Latitude [ REAL ]
economy :
Country [ TEXT ] primary_key
GDP [ REAL ]
Agriculture [ REAL ]
Service [ REAL ]
Industry [ REAL ]
Inflation [ REAL ]
encompasses :
Country [ TEXT ]
Continent [ TEXT ]
Percentage [ REAL ]
ethnicGroup :
Country [ TEXT ]
Name [ TEXT ]
Percentage [ REAL ]
geo_desert :
Desert [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_estuary :
River [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_island :
Island [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_lake :
Lake [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_mountain :
Mountain [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_river :
River [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_sea :
Sea [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_source :
River [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
island :
Name [ TEXT ] primary_key
Islands [ TEXT ]
Area [ REAL ]
Height [ REAL ]
Type [ TEXT ]
Longitude [ REAL ]
Latitude [ REAL ]
islandIn :
Island [ TEXT ]
Sea [ TEXT ]
Lake [ TEXT ]
River [ TEXT ]
isMember :
Country [ TEXT ]
Organization [ TEXT ]
Type [ TEXT ]
lake :
Name [ TEXT ] primary_key
Area [ REAL ]
Depth [ REAL ]
Altitude [ REAL ]
Type [ TEXT ]
River [ TEXT ]
Longitude [ REAL ]
Latitude [ REAL ]
language :
Country [ TEXT ]
Name [ TEXT ]
Percentage [ REAL ]
located :
City [ TEXT ]
Province [ TEXT ]
Country [ TEXT ]
River [ TEXT ]
Lake [ TEXT ]
Sea [ TEXT ]
locatedOn :
City [ TEXT ]
Province [ TEXT ]
Country [ TEXT ]
Island [ TEXT ]
mergesWith :
Sea1 [ TEXT ]
Sea2 [ TEXT ]
mountain :
Name [ TEXT ] primary_key
Mountains [ TEXT ]
Height [ REAL ]
Type [ TEXT ]
Longitude [ REAL ]
Latitude [ REAL ]
mountainOnIsland :
Mountain [ TEXT ]
Island [ TEXT ]
organization :
Abbreviation [ TEXT ] primary_key
Name [ TEXT ]
City [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
Established [ DATE ]
politics :
Country [ TEXT ] primary_key
Independence [ DATE ]
Dependent [ TEXT ]
Government [ TEXT ]
population :
Country [ TEXT ] primary_key
Population_Growth [ REAL ]
Infant_Mortality [ REAL ]
province :
Name [ TEXT ]
Country [ TEXT ]
Population [ INTEGER ]
Area [ REAL ]
Capital [ TEXT ]
CapProv [ TEXT ]
religion :
Country [ TEXT ]
Name [ TEXT ]
Percentage [ REAL ]
river :
Name [ TEXT ] primary_key
River [ TEXT ]
Lake [ TEXT ]
Sea [ TEXT ]
Length [ REAL ]
SourceLongitude [ REAL ]
SourceLatitude [ REAL ]
Mountains [ TEXT ]
SourceAltitude [ REAL ]
EstuaryLongitude [ REAL ]
EstuaryLatitude [ REAL ]
sea :
Name [ TEXT ] primary_key
Depth [ REAL ]
target :
Country [ TEXT ] primary_key
Target [ TEXT ]
Please write me a SQL statement that answers the following question: When did Uganda declare independence? [/INST] | SELECT T2.Independence FROM country AS T1 INNER JOIN politics AS T2 ON T1.Code = T2.Country WHERE T1.Name = 'Uganda'; |
[INST] Here is a database schema:
borders :
Country1 [ TEXT ]
Country2 [ TEXT ]
Length [ REAL ]
city :
Name [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
Population [ INTEGER ]
Longitude [ REAL ]
Latitude [ REAL ]
continent :
Name [ TEXT ] primary_key
Area [ REAL ]
country :
Name [ TEXT ]
Code [ TEXT ] primary_key
Capital [ TEXT ]
Province [ TEXT ]
Area [ REAL ]
Population [ INTEGER ]
desert :
Name [ TEXT ] primary_key
Area [ REAL ]
Longitude [ REAL ]
Latitude [ REAL ]
economy :
Country [ TEXT ] primary_key
GDP [ REAL ]
Agriculture [ REAL ]
Service [ REAL ]
Industry [ REAL ]
Inflation [ REAL ]
encompasses :
Country [ TEXT ]
Continent [ TEXT ]
Percentage [ REAL ]
ethnicGroup :
Country [ TEXT ]
Name [ TEXT ]
Percentage [ REAL ]
geo_desert :
Desert [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_estuary :
River [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_island :
Island [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_lake :
Lake [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_mountain :
Mountain [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_river :
River [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_sea :
Sea [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_source :
River [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
island :
Name [ TEXT ] primary_key
Islands [ TEXT ]
Area [ REAL ]
Height [ REAL ]
Type [ TEXT ]
Longitude [ REAL ]
Latitude [ REAL ]
islandIn :
Island [ TEXT ]
Sea [ TEXT ]
Lake [ TEXT ]
River [ TEXT ]
isMember :
Country [ TEXT ]
Organization [ TEXT ]
Type [ TEXT ]
lake :
Name [ TEXT ] primary_key
Area [ REAL ]
Depth [ REAL ]
Altitude [ REAL ]
Type [ TEXT ]
River [ TEXT ]
Longitude [ REAL ]
Latitude [ REAL ]
language :
Country [ TEXT ]
Name [ TEXT ]
Percentage [ REAL ]
located :
City [ TEXT ]
Province [ TEXT ]
Country [ TEXT ]
River [ TEXT ]
Lake [ TEXT ]
Sea [ TEXT ]
locatedOn :
City [ TEXT ]
Province [ TEXT ]
Country [ TEXT ]
Island [ TEXT ]
mergesWith :
Sea1 [ TEXT ]
Sea2 [ TEXT ]
mountain :
Name [ TEXT ] primary_key
Mountains [ TEXT ]
Height [ REAL ]
Type [ TEXT ]
Longitude [ REAL ]
Latitude [ REAL ]
mountainOnIsland :
Mountain [ TEXT ]
Island [ TEXT ]
organization :
Abbreviation [ TEXT ] primary_key
Name [ TEXT ]
City [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
Established [ DATE ]
politics :
Country [ TEXT ] primary_key
Independence [ DATE ]
Dependent [ TEXT ]
Government [ TEXT ]
population :
Country [ TEXT ] primary_key
Population_Growth [ REAL ]
Infant_Mortality [ REAL ]
province :
Name [ TEXT ]
Country [ TEXT ]
Population [ INTEGER ]
Area [ REAL ]
Capital [ TEXT ]
CapProv [ TEXT ]
religion :
Country [ TEXT ]
Name [ TEXT ]
Percentage [ REAL ]
river :
Name [ TEXT ] primary_key
River [ TEXT ]
Lake [ TEXT ]
Sea [ TEXT ]
Length [ REAL ]
SourceLongitude [ REAL ]
SourceLatitude [ REAL ]
Mountains [ TEXT ]
SourceAltitude [ REAL ]
EstuaryLongitude [ REAL ]
EstuaryLatitude [ REAL ]
sea :
Name [ TEXT ] primary_key
Depth [ REAL ]
target :
Country [ TEXT ] primary_key
Target [ TEXT ]
Please write me a SQL statement that answers the following question: What kind of government does Iran have? [/INST] | SELECT T2.Government FROM country AS T1 INNER JOIN politics AS T2 ON T1.Code = T2.Country WHERE T1.Name = 'Iran'; |
[INST] Here is a database schema:
borders :
Country1 [ TEXT ]
Country2 [ TEXT ]
Length [ REAL ]
city :
Name [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
Population [ INTEGER ]
Longitude [ REAL ]
Latitude [ REAL ]
continent :
Name [ TEXT ] primary_key
Area [ REAL ]
country :
Name [ TEXT ]
Code [ TEXT ] primary_key
Capital [ TEXT ]
Province [ TEXT ]
Area [ REAL ]
Population [ INTEGER ]
desert :
Name [ TEXT ] primary_key
Area [ REAL ]
Longitude [ REAL ]
Latitude [ REAL ]
economy :
Country [ TEXT ] primary_key
GDP [ REAL ]
Agriculture [ REAL ]
Service [ REAL ]
Industry [ REAL ]
Inflation [ REAL ]
encompasses :
Country [ TEXT ]
Continent [ TEXT ]
Percentage [ REAL ]
ethnicGroup :
Country [ TEXT ]
Name [ TEXT ]
Percentage [ REAL ]
geo_desert :
Desert [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_estuary :
River [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_island :
Island [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_lake :
Lake [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_mountain :
Mountain [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_river :
River [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_sea :
Sea [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_source :
River [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
island :
Name [ TEXT ] primary_key
Islands [ TEXT ]
Area [ REAL ]
Height [ REAL ]
Type [ TEXT ]
Longitude [ REAL ]
Latitude [ REAL ]
islandIn :
Island [ TEXT ]
Sea [ TEXT ]
Lake [ TEXT ]
River [ TEXT ]
isMember :
Country [ TEXT ]
Organization [ TEXT ]
Type [ TEXT ]
lake :
Name [ TEXT ] primary_key
Area [ REAL ]
Depth [ REAL ]
Altitude [ REAL ]
Type [ TEXT ]
River [ TEXT ]
Longitude [ REAL ]
Latitude [ REAL ]
language :
Country [ TEXT ]
Name [ TEXT ]
Percentage [ REAL ]
located :
City [ TEXT ]
Province [ TEXT ]
Country [ TEXT ]
River [ TEXT ]
Lake [ TEXT ]
Sea [ TEXT ]
locatedOn :
City [ TEXT ]
Province [ TEXT ]
Country [ TEXT ]
Island [ TEXT ]
mergesWith :
Sea1 [ TEXT ]
Sea2 [ TEXT ]
mountain :
Name [ TEXT ] primary_key
Mountains [ TEXT ]
Height [ REAL ]
Type [ TEXT ]
Longitude [ REAL ]
Latitude [ REAL ]
mountainOnIsland :
Mountain [ TEXT ]
Island [ TEXT ]
organization :
Abbreviation [ TEXT ] primary_key
Name [ TEXT ]
City [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
Established [ DATE ]
politics :
Country [ TEXT ] primary_key
Independence [ DATE ]
Dependent [ TEXT ]
Government [ TEXT ]
population :
Country [ TEXT ] primary_key
Population_Growth [ REAL ]
Infant_Mortality [ REAL ]
province :
Name [ TEXT ]
Country [ TEXT ]
Population [ INTEGER ]
Area [ REAL ]
Capital [ TEXT ]
CapProv [ TEXT ]
religion :
Country [ TEXT ]
Name [ TEXT ]
Percentage [ REAL ]
river :
Name [ TEXT ] primary_key
River [ TEXT ]
Lake [ TEXT ]
Sea [ TEXT ]
Length [ REAL ]
SourceLongitude [ REAL ]
SourceLatitude [ REAL ]
Mountains [ TEXT ]
SourceAltitude [ REAL ]
EstuaryLongitude [ REAL ]
EstuaryLatitude [ REAL ]
sea :
Name [ TEXT ] primary_key
Depth [ REAL ]
target :
Country [ TEXT ] primary_key
Target [ TEXT ]
Please write me a SQL statement that answers the following question: Where does Bermuda belong to? Give the full name of the country. [/INST] | SELECT T3.Name FROM locatedOn AS T1 INNER JOIN island AS T2 ON T1.Island = T2.Name INNER JOIN country AS T3 ON T3.Code = T1.Country WHERE T3.Name = 'Bermuda'; |
[INST] Here is a database schema:
borders :
Country1 [ TEXT ]
Country2 [ TEXT ]
Length [ REAL ]
city :
Name [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
Population [ INTEGER ]
Longitude [ REAL ]
Latitude [ REAL ]
continent :
Name [ TEXT ] primary_key
Area [ REAL ]
country :
Name [ TEXT ]
Code [ TEXT ] primary_key
Capital [ TEXT ]
Province [ TEXT ]
Area [ REAL ]
Population [ INTEGER ]
desert :
Name [ TEXT ] primary_key
Area [ REAL ]
Longitude [ REAL ]
Latitude [ REAL ]
economy :
Country [ TEXT ] primary_key
GDP [ REAL ]
Agriculture [ REAL ]
Service [ REAL ]
Industry [ REAL ]
Inflation [ REAL ]
encompasses :
Country [ TEXT ]
Continent [ TEXT ]
Percentage [ REAL ]
ethnicGroup :
Country [ TEXT ]
Name [ TEXT ]
Percentage [ REAL ]
geo_desert :
Desert [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_estuary :
River [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_island :
Island [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_lake :
Lake [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_mountain :
Mountain [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_river :
River [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_sea :
Sea [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_source :
River [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
island :
Name [ TEXT ] primary_key
Islands [ TEXT ]
Area [ REAL ]
Height [ REAL ]
Type [ TEXT ]
Longitude [ REAL ]
Latitude [ REAL ]
islandIn :
Island [ TEXT ]
Sea [ TEXT ]
Lake [ TEXT ]
River [ TEXT ]
isMember :
Country [ TEXT ]
Organization [ TEXT ]
Type [ TEXT ]
lake :
Name [ TEXT ] primary_key
Area [ REAL ]
Depth [ REAL ]
Altitude [ REAL ]
Type [ TEXT ]
River [ TEXT ]
Longitude [ REAL ]
Latitude [ REAL ]
language :
Country [ TEXT ]
Name [ TEXT ]
Percentage [ REAL ]
located :
City [ TEXT ]
Province [ TEXT ]
Country [ TEXT ]
River [ TEXT ]
Lake [ TEXT ]
Sea [ TEXT ]
locatedOn :
City [ TEXT ]
Province [ TEXT ]
Country [ TEXT ]
Island [ TEXT ]
mergesWith :
Sea1 [ TEXT ]
Sea2 [ TEXT ]
mountain :
Name [ TEXT ] primary_key
Mountains [ TEXT ]
Height [ REAL ]
Type [ TEXT ]
Longitude [ REAL ]
Latitude [ REAL ]
mountainOnIsland :
Mountain [ TEXT ]
Island [ TEXT ]
organization :
Abbreviation [ TEXT ] primary_key
Name [ TEXT ]
City [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
Established [ DATE ]
politics :
Country [ TEXT ] primary_key
Independence [ DATE ]
Dependent [ TEXT ]
Government [ TEXT ]
population :
Country [ TEXT ] primary_key
Population_Growth [ REAL ]
Infant_Mortality [ REAL ]
province :
Name [ TEXT ]
Country [ TEXT ]
Population [ INTEGER ]
Area [ REAL ]
Capital [ TEXT ]
CapProv [ TEXT ]
religion :
Country [ TEXT ]
Name [ TEXT ]
Percentage [ REAL ]
river :
Name [ TEXT ] primary_key
River [ TEXT ]
Lake [ TEXT ]
Sea [ TEXT ]
Length [ REAL ]
SourceLongitude [ REAL ]
SourceLatitude [ REAL ]
Mountains [ TEXT ]
SourceAltitude [ REAL ]
EstuaryLongitude [ REAL ]
EstuaryLatitude [ REAL ]
sea :
Name [ TEXT ] primary_key
Depth [ REAL ]
target :
Country [ TEXT ] primary_key
Target [ TEXT ]
Please write me a SQL statement that answers the following question: Where is the capital of country which has the largest percentage of Malay people? [/INST] | SELECT T1.Capital FROM country AS T1 INNER JOIN ethnicGroup AS T2 ON T1.Code = T2.Country WHERE T2.Name = 'Malay' ORDER BY T2.Percentage DESC LIMIT 1; |
[INST] Here is a database schema:
borders :
Country1 [ TEXT ]
Country2 [ TEXT ]
Length [ REAL ]
city :
Name [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
Population [ INTEGER ]
Longitude [ REAL ]
Latitude [ REAL ]
continent :
Name [ TEXT ] primary_key
Area [ REAL ]
country :
Name [ TEXT ]
Code [ TEXT ] primary_key
Capital [ TEXT ]
Province [ TEXT ]
Area [ REAL ]
Population [ INTEGER ]
desert :
Name [ TEXT ] primary_key
Area [ REAL ]
Longitude [ REAL ]
Latitude [ REAL ]
economy :
Country [ TEXT ] primary_key
GDP [ REAL ]
Agriculture [ REAL ]
Service [ REAL ]
Industry [ REAL ]
Inflation [ REAL ]
encompasses :
Country [ TEXT ]
Continent [ TEXT ]
Percentage [ REAL ]
ethnicGroup :
Country [ TEXT ]
Name [ TEXT ]
Percentage [ REAL ]
geo_desert :
Desert [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_estuary :
River [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_island :
Island [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_lake :
Lake [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_mountain :
Mountain [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_river :
River [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_sea :
Sea [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_source :
River [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
island :
Name [ TEXT ] primary_key
Islands [ TEXT ]
Area [ REAL ]
Height [ REAL ]
Type [ TEXT ]
Longitude [ REAL ]
Latitude [ REAL ]
islandIn :
Island [ TEXT ]
Sea [ TEXT ]
Lake [ TEXT ]
River [ TEXT ]
isMember :
Country [ TEXT ]
Organization [ TEXT ]
Type [ TEXT ]
lake :
Name [ TEXT ] primary_key
Area [ REAL ]
Depth [ REAL ]
Altitude [ REAL ]
Type [ TEXT ]
River [ TEXT ]
Longitude [ REAL ]
Latitude [ REAL ]
language :
Country [ TEXT ]
Name [ TEXT ]
Percentage [ REAL ]
located :
City [ TEXT ]
Province [ TEXT ]
Country [ TEXT ]
River [ TEXT ]
Lake [ TEXT ]
Sea [ TEXT ]
locatedOn :
City [ TEXT ]
Province [ TEXT ]
Country [ TEXT ]
Island [ TEXT ]
mergesWith :
Sea1 [ TEXT ]
Sea2 [ TEXT ]
mountain :
Name [ TEXT ] primary_key
Mountains [ TEXT ]
Height [ REAL ]
Type [ TEXT ]
Longitude [ REAL ]
Latitude [ REAL ]
mountainOnIsland :
Mountain [ TEXT ]
Island [ TEXT ]
organization :
Abbreviation [ TEXT ] primary_key
Name [ TEXT ]
City [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
Established [ DATE ]
politics :
Country [ TEXT ] primary_key
Independence [ DATE ]
Dependent [ TEXT ]
Government [ TEXT ]
population :
Country [ TEXT ] primary_key
Population_Growth [ REAL ]
Infant_Mortality [ REAL ]
province :
Name [ TEXT ]
Country [ TEXT ]
Population [ INTEGER ]
Area [ REAL ]
Capital [ TEXT ]
CapProv [ TEXT ]
religion :
Country [ TEXT ]
Name [ TEXT ]
Percentage [ REAL ]
river :
Name [ TEXT ] primary_key
River [ TEXT ]
Lake [ TEXT ]
Sea [ TEXT ]
Length [ REAL ]
SourceLongitude [ REAL ]
SourceLatitude [ REAL ]
Mountains [ TEXT ]
SourceAltitude [ REAL ]
EstuaryLongitude [ REAL ]
EstuaryLatitude [ REAL ]
sea :
Name [ TEXT ] primary_key
Depth [ REAL ]
target :
Country [ TEXT ] primary_key
Target [ TEXT ]
Please write me a SQL statement that answers the following question: For the third largest country, which ethinic group has the most population? [/INST] | SELECT T2.Name FROM country AS T1 INNER JOIN ethnicGroup AS T2 ON T1.Code = T2.Country WHERE T1.Name = ( SELECT Name FROM country ORDER BY Area DESC LIMIT 2, 1 ) GROUP BY T2.Name ORDER BY T2.Percentage * T1.Population DESC LIMIT 1; |
[INST] Here is a database schema:
borders :
Country1 [ TEXT ]
Country2 [ TEXT ]
Length [ REAL ]
city :
Name [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
Population [ INTEGER ]
Longitude [ REAL ]
Latitude [ REAL ]
continent :
Name [ TEXT ] primary_key
Area [ REAL ]
country :
Name [ TEXT ]
Code [ TEXT ] primary_key
Capital [ TEXT ]
Province [ TEXT ]
Area [ REAL ]
Population [ INTEGER ]
desert :
Name [ TEXT ] primary_key
Area [ REAL ]
Longitude [ REAL ]
Latitude [ REAL ]
economy :
Country [ TEXT ] primary_key
GDP [ REAL ]
Agriculture [ REAL ]
Service [ REAL ]
Industry [ REAL ]
Inflation [ REAL ]
encompasses :
Country [ TEXT ]
Continent [ TEXT ]
Percentage [ REAL ]
ethnicGroup :
Country [ TEXT ]
Name [ TEXT ]
Percentage [ REAL ]
geo_desert :
Desert [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_estuary :
River [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_island :
Island [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_lake :
Lake [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_mountain :
Mountain [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_river :
River [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_sea :
Sea [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_source :
River [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
island :
Name [ TEXT ] primary_key
Islands [ TEXT ]
Area [ REAL ]
Height [ REAL ]
Type [ TEXT ]
Longitude [ REAL ]
Latitude [ REAL ]
islandIn :
Island [ TEXT ]
Sea [ TEXT ]
Lake [ TEXT ]
River [ TEXT ]
isMember :
Country [ TEXT ]
Organization [ TEXT ]
Type [ TEXT ]
lake :
Name [ TEXT ] primary_key
Area [ REAL ]
Depth [ REAL ]
Altitude [ REAL ]
Type [ TEXT ]
River [ TEXT ]
Longitude [ REAL ]
Latitude [ REAL ]
language :
Country [ TEXT ]
Name [ TEXT ]
Percentage [ REAL ]
located :
City [ TEXT ]
Province [ TEXT ]
Country [ TEXT ]
River [ TEXT ]
Lake [ TEXT ]
Sea [ TEXT ]
locatedOn :
City [ TEXT ]
Province [ TEXT ]
Country [ TEXT ]
Island [ TEXT ]
mergesWith :
Sea1 [ TEXT ]
Sea2 [ TEXT ]
mountain :
Name [ TEXT ] primary_key
Mountains [ TEXT ]
Height [ REAL ]
Type [ TEXT ]
Longitude [ REAL ]
Latitude [ REAL ]
mountainOnIsland :
Mountain [ TEXT ]
Island [ TEXT ]
organization :
Abbreviation [ TEXT ] primary_key
Name [ TEXT ]
City [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
Established [ DATE ]
politics :
Country [ TEXT ] primary_key
Independence [ DATE ]
Dependent [ TEXT ]
Government [ TEXT ]
population :
Country [ TEXT ] primary_key
Population_Growth [ REAL ]
Infant_Mortality [ REAL ]
province :
Name [ TEXT ]
Country [ TEXT ]
Population [ INTEGER ]
Area [ REAL ]
Capital [ TEXT ]
CapProv [ TEXT ]
religion :
Country [ TEXT ]
Name [ TEXT ]
Percentage [ REAL ]
river :
Name [ TEXT ] primary_key
River [ TEXT ]
Lake [ TEXT ]
Sea [ TEXT ]
Length [ REAL ]
SourceLongitude [ REAL ]
SourceLatitude [ REAL ]
Mountains [ TEXT ]
SourceAltitude [ REAL ]
EstuaryLongitude [ REAL ]
EstuaryLatitude [ REAL ]
sea :
Name [ TEXT ] primary_key
Depth [ REAL ]
target :
Country [ TEXT ] primary_key
Target [ TEXT ]
Please write me a SQL statement that answers the following question: Which country has the city of 114339 in population? Give the full name of the country. [/INST] | SELECT T1.Name FROM country AS T1 INNER JOIN city AS T2 ON T1.Code = T2.Country WHERE T2.Population = 114339; |
[INST] Here is a database schema:
borders :
Country1 [ TEXT ]
Country2 [ TEXT ]
Length [ REAL ]
city :
Name [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
Population [ INTEGER ]
Longitude [ REAL ]
Latitude [ REAL ]
continent :
Name [ TEXT ] primary_key
Area [ REAL ]
country :
Name [ TEXT ]
Code [ TEXT ] primary_key
Capital [ TEXT ]
Province [ TEXT ]
Area [ REAL ]
Population [ INTEGER ]
desert :
Name [ TEXT ] primary_key
Area [ REAL ]
Longitude [ REAL ]
Latitude [ REAL ]
economy :
Country [ TEXT ] primary_key
GDP [ REAL ]
Agriculture [ REAL ]
Service [ REAL ]
Industry [ REAL ]
Inflation [ REAL ]
encompasses :
Country [ TEXT ]
Continent [ TEXT ]
Percentage [ REAL ]
ethnicGroup :
Country [ TEXT ]
Name [ TEXT ]
Percentage [ REAL ]
geo_desert :
Desert [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_estuary :
River [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_island :
Island [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_lake :
Lake [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_mountain :
Mountain [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_river :
River [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_sea :
Sea [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_source :
River [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
island :
Name [ TEXT ] primary_key
Islands [ TEXT ]
Area [ REAL ]
Height [ REAL ]
Type [ TEXT ]
Longitude [ REAL ]
Latitude [ REAL ]
islandIn :
Island [ TEXT ]
Sea [ TEXT ]
Lake [ TEXT ]
River [ TEXT ]
isMember :
Country [ TEXT ]
Organization [ TEXT ]
Type [ TEXT ]
lake :
Name [ TEXT ] primary_key
Area [ REAL ]
Depth [ REAL ]
Altitude [ REAL ]
Type [ TEXT ]
River [ TEXT ]
Longitude [ REAL ]
Latitude [ REAL ]
language :
Country [ TEXT ]
Name [ TEXT ]
Percentage [ REAL ]
located :
City [ TEXT ]
Province [ TEXT ]
Country [ TEXT ]
River [ TEXT ]
Lake [ TEXT ]
Sea [ TEXT ]
locatedOn :
City [ TEXT ]
Province [ TEXT ]
Country [ TEXT ]
Island [ TEXT ]
mergesWith :
Sea1 [ TEXT ]
Sea2 [ TEXT ]
mountain :
Name [ TEXT ] primary_key
Mountains [ TEXT ]
Height [ REAL ]
Type [ TEXT ]
Longitude [ REAL ]
Latitude [ REAL ]
mountainOnIsland :
Mountain [ TEXT ]
Island [ TEXT ]
organization :
Abbreviation [ TEXT ] primary_key
Name [ TEXT ]
City [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
Established [ DATE ]
politics :
Country [ TEXT ] primary_key
Independence [ DATE ]
Dependent [ TEXT ]
Government [ TEXT ]
population :
Country [ TEXT ] primary_key
Population_Growth [ REAL ]
Infant_Mortality [ REAL ]
province :
Name [ TEXT ]
Country [ TEXT ]
Population [ INTEGER ]
Area [ REAL ]
Capital [ TEXT ]
CapProv [ TEXT ]
religion :
Country [ TEXT ]
Name [ TEXT ]
Percentage [ REAL ]
river :
Name [ TEXT ] primary_key
River [ TEXT ]
Lake [ TEXT ]
Sea [ TEXT ]
Length [ REAL ]
SourceLongitude [ REAL ]
SourceLatitude [ REAL ]
Mountains [ TEXT ]
SourceAltitude [ REAL ]
EstuaryLongitude [ REAL ]
EstuaryLatitude [ REAL ]
sea :
Name [ TEXT ] primary_key
Depth [ REAL ]
target :
Country [ TEXT ] primary_key
Target [ TEXT ]
Please write me a SQL statement that answers the following question: How many rivers finally flows to the sea of 459m in depth? [/INST] | SELECT COUNT(*) FROM river WHERE Sea IN ( SELECT Name FROM sea WHERE Depth = 459 ); |
[INST] Here is a database schema:
borders :
Country1 [ TEXT ]
Country2 [ TEXT ]
Length [ REAL ]
city :
Name [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
Population [ INTEGER ]
Longitude [ REAL ]
Latitude [ REAL ]
continent :
Name [ TEXT ] primary_key
Area [ REAL ]
country :
Name [ TEXT ]
Code [ TEXT ] primary_key
Capital [ TEXT ]
Province [ TEXT ]
Area [ REAL ]
Population [ INTEGER ]
desert :
Name [ TEXT ] primary_key
Area [ REAL ]
Longitude [ REAL ]
Latitude [ REAL ]
economy :
Country [ TEXT ] primary_key
GDP [ REAL ]
Agriculture [ REAL ]
Service [ REAL ]
Industry [ REAL ]
Inflation [ REAL ]
encompasses :
Country [ TEXT ]
Continent [ TEXT ]
Percentage [ REAL ]
ethnicGroup :
Country [ TEXT ]
Name [ TEXT ]
Percentage [ REAL ]
geo_desert :
Desert [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_estuary :
River [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_island :
Island [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_lake :
Lake [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_mountain :
Mountain [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_river :
River [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_sea :
Sea [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_source :
River [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
island :
Name [ TEXT ] primary_key
Islands [ TEXT ]
Area [ REAL ]
Height [ REAL ]
Type [ TEXT ]
Longitude [ REAL ]
Latitude [ REAL ]
islandIn :
Island [ TEXT ]
Sea [ TEXT ]
Lake [ TEXT ]
River [ TEXT ]
isMember :
Country [ TEXT ]
Organization [ TEXT ]
Type [ TEXT ]
lake :
Name [ TEXT ] primary_key
Area [ REAL ]
Depth [ REAL ]
Altitude [ REAL ]
Type [ TEXT ]
River [ TEXT ]
Longitude [ REAL ]
Latitude [ REAL ]
language :
Country [ TEXT ]
Name [ TEXT ]
Percentage [ REAL ]
located :
City [ TEXT ]
Province [ TEXT ]
Country [ TEXT ]
River [ TEXT ]
Lake [ TEXT ]
Sea [ TEXT ]
locatedOn :
City [ TEXT ]
Province [ TEXT ]
Country [ TEXT ]
Island [ TEXT ]
mergesWith :
Sea1 [ TEXT ]
Sea2 [ TEXT ]
mountain :
Name [ TEXT ] primary_key
Mountains [ TEXT ]
Height [ REAL ]
Type [ TEXT ]
Longitude [ REAL ]
Latitude [ REAL ]
mountainOnIsland :
Mountain [ TEXT ]
Island [ TEXT ]
organization :
Abbreviation [ TEXT ] primary_key
Name [ TEXT ]
City [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
Established [ DATE ]
politics :
Country [ TEXT ] primary_key
Independence [ DATE ]
Dependent [ TEXT ]
Government [ TEXT ]
population :
Country [ TEXT ] primary_key
Population_Growth [ REAL ]
Infant_Mortality [ REAL ]
province :
Name [ TEXT ]
Country [ TEXT ]
Population [ INTEGER ]
Area [ REAL ]
Capital [ TEXT ]
CapProv [ TEXT ]
religion :
Country [ TEXT ]
Name [ TEXT ]
Percentage [ REAL ]
river :
Name [ TEXT ] primary_key
River [ TEXT ]
Lake [ TEXT ]
Sea [ TEXT ]
Length [ REAL ]
SourceLongitude [ REAL ]
SourceLatitude [ REAL ]
Mountains [ TEXT ]
SourceAltitude [ REAL ]
EstuaryLongitude [ REAL ]
EstuaryLatitude [ REAL ]
sea :
Name [ TEXT ] primary_key
Depth [ REAL ]
target :
Country [ TEXT ] primary_key
Target [ TEXT ]
Please write me a SQL statement that answers the following question: What is the area of the country which became independent in 1921/3/13? [/INST] | SELECT T1.Area FROM country AS T1 INNER JOIN politics AS T2 ON T1.Code = T2.Country WHERE T2.Independence = '1921-03-13'; |
[INST] Here is a database schema:
borders :
Country1 [ TEXT ]
Country2 [ TEXT ]
Length [ REAL ]
city :
Name [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
Population [ INTEGER ]
Longitude [ REAL ]
Latitude [ REAL ]
continent :
Name [ TEXT ] primary_key
Area [ REAL ]
country :
Name [ TEXT ]
Code [ TEXT ] primary_key
Capital [ TEXT ]
Province [ TEXT ]
Area [ REAL ]
Population [ INTEGER ]
desert :
Name [ TEXT ] primary_key
Area [ REAL ]
Longitude [ REAL ]
Latitude [ REAL ]
economy :
Country [ TEXT ] primary_key
GDP [ REAL ]
Agriculture [ REAL ]
Service [ REAL ]
Industry [ REAL ]
Inflation [ REAL ]
encompasses :
Country [ TEXT ]
Continent [ TEXT ]
Percentage [ REAL ]
ethnicGroup :
Country [ TEXT ]
Name [ TEXT ]
Percentage [ REAL ]
geo_desert :
Desert [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_estuary :
River [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_island :
Island [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_lake :
Lake [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_mountain :
Mountain [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_river :
River [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_sea :
Sea [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_source :
River [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
island :
Name [ TEXT ] primary_key
Islands [ TEXT ]
Area [ REAL ]
Height [ REAL ]
Type [ TEXT ]
Longitude [ REAL ]
Latitude [ REAL ]
islandIn :
Island [ TEXT ]
Sea [ TEXT ]
Lake [ TEXT ]
River [ TEXT ]
isMember :
Country [ TEXT ]
Organization [ TEXT ]
Type [ TEXT ]
lake :
Name [ TEXT ] primary_key
Area [ REAL ]
Depth [ REAL ]
Altitude [ REAL ]
Type [ TEXT ]
River [ TEXT ]
Longitude [ REAL ]
Latitude [ REAL ]
language :
Country [ TEXT ]
Name [ TEXT ]
Percentage [ REAL ]
located :
City [ TEXT ]
Province [ TEXT ]
Country [ TEXT ]
River [ TEXT ]
Lake [ TEXT ]
Sea [ TEXT ]
locatedOn :
City [ TEXT ]
Province [ TEXT ]
Country [ TEXT ]
Island [ TEXT ]
mergesWith :
Sea1 [ TEXT ]
Sea2 [ TEXT ]
mountain :
Name [ TEXT ] primary_key
Mountains [ TEXT ]
Height [ REAL ]
Type [ TEXT ]
Longitude [ REAL ]
Latitude [ REAL ]
mountainOnIsland :
Mountain [ TEXT ]
Island [ TEXT ]
organization :
Abbreviation [ TEXT ] primary_key
Name [ TEXT ]
City [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
Established [ DATE ]
politics :
Country [ TEXT ] primary_key
Independence [ DATE ]
Dependent [ TEXT ]
Government [ TEXT ]
population :
Country [ TEXT ] primary_key
Population_Growth [ REAL ]
Infant_Mortality [ REAL ]
province :
Name [ TEXT ]
Country [ TEXT ]
Population [ INTEGER ]
Area [ REAL ]
Capital [ TEXT ]
CapProv [ TEXT ]
religion :
Country [ TEXT ]
Name [ TEXT ]
Percentage [ REAL ]
river :
Name [ TEXT ] primary_key
River [ TEXT ]
Lake [ TEXT ]
Sea [ TEXT ]
Length [ REAL ]
SourceLongitude [ REAL ]
SourceLatitude [ REAL ]
Mountains [ TEXT ]
SourceAltitude [ REAL ]
EstuaryLongitude [ REAL ]
EstuaryLatitude [ REAL ]
sea :
Name [ TEXT ] primary_key
Depth [ REAL ]
target :
Country [ TEXT ] primary_key
Target [ TEXT ]
Please write me a SQL statement that answers the following question: What is the population density of the Petropavl's home country? [/INST] | SELECT CAST(T1.Population AS REAL) / T1.Area FROM country AS T1 INNER JOIN city AS T2 ON T1.Code = T2.Country WHERE T2.Name = 'Petropavl'; |
[INST] Here is a database schema:
borders :
Country1 [ TEXT ]
Country2 [ TEXT ]
Length [ REAL ]
city :
Name [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
Population [ INTEGER ]
Longitude [ REAL ]
Latitude [ REAL ]
continent :
Name [ TEXT ] primary_key
Area [ REAL ]
country :
Name [ TEXT ]
Code [ TEXT ] primary_key
Capital [ TEXT ]
Province [ TEXT ]
Area [ REAL ]
Population [ INTEGER ]
desert :
Name [ TEXT ] primary_key
Area [ REAL ]
Longitude [ REAL ]
Latitude [ REAL ]
economy :
Country [ TEXT ] primary_key
GDP [ REAL ]
Agriculture [ REAL ]
Service [ REAL ]
Industry [ REAL ]
Inflation [ REAL ]
encompasses :
Country [ TEXT ]
Continent [ TEXT ]
Percentage [ REAL ]
ethnicGroup :
Country [ TEXT ]
Name [ TEXT ]
Percentage [ REAL ]
geo_desert :
Desert [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_estuary :
River [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_island :
Island [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_lake :
Lake [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_mountain :
Mountain [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_river :
River [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_sea :
Sea [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_source :
River [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
island :
Name [ TEXT ] primary_key
Islands [ TEXT ]
Area [ REAL ]
Height [ REAL ]
Type [ TEXT ]
Longitude [ REAL ]
Latitude [ REAL ]
islandIn :
Island [ TEXT ]
Sea [ TEXT ]
Lake [ TEXT ]
River [ TEXT ]
isMember :
Country [ TEXT ]
Organization [ TEXT ]
Type [ TEXT ]
lake :
Name [ TEXT ] primary_key
Area [ REAL ]
Depth [ REAL ]
Altitude [ REAL ]
Type [ TEXT ]
River [ TEXT ]
Longitude [ REAL ]
Latitude [ REAL ]
language :
Country [ TEXT ]
Name [ TEXT ]
Percentage [ REAL ]
located :
City [ TEXT ]
Province [ TEXT ]
Country [ TEXT ]
River [ TEXT ]
Lake [ TEXT ]
Sea [ TEXT ]
locatedOn :
City [ TEXT ]
Province [ TEXT ]
Country [ TEXT ]
Island [ TEXT ]
mergesWith :
Sea1 [ TEXT ]
Sea2 [ TEXT ]
mountain :
Name [ TEXT ] primary_key
Mountains [ TEXT ]
Height [ REAL ]
Type [ TEXT ]
Longitude [ REAL ]
Latitude [ REAL ]
mountainOnIsland :
Mountain [ TEXT ]
Island [ TEXT ]
organization :
Abbreviation [ TEXT ] primary_key
Name [ TEXT ]
City [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
Established [ DATE ]
politics :
Country [ TEXT ] primary_key
Independence [ DATE ]
Dependent [ TEXT ]
Government [ TEXT ]
population :
Country [ TEXT ] primary_key
Population_Growth [ REAL ]
Infant_Mortality [ REAL ]
province :
Name [ TEXT ]
Country [ TEXT ]
Population [ INTEGER ]
Area [ REAL ]
Capital [ TEXT ]
CapProv [ TEXT ]
religion :
Country [ TEXT ]
Name [ TEXT ]
Percentage [ REAL ]
river :
Name [ TEXT ] primary_key
River [ TEXT ]
Lake [ TEXT ]
Sea [ TEXT ]
Length [ REAL ]
SourceLongitude [ REAL ]
SourceLatitude [ REAL ]
Mountains [ TEXT ]
SourceAltitude [ REAL ]
EstuaryLongitude [ REAL ]
EstuaryLatitude [ REAL ]
sea :
Name [ TEXT ] primary_key
Depth [ REAL ]
target :
Country [ TEXT ] primary_key
Target [ TEXT ]
Please write me a SQL statement that answers the following question: How many more people speak English than speak Scottish in United Kingdom? [/INST] | SELECT T3.Population * (T2.Percentage - T1.Percentage) FROM ethnicGroup AS T1 INNER JOIN ethnicGroup AS T2 ON T1.Country = T2.Country INNER JOIN country AS T3 ON T1.Country = T3.Code WHERE T1.Name = 'Scottish' AND T2.Name = 'English' AND T3.Name = 'United Kingdom'; |
[INST] Here is a database schema:
borders :
Country1 [ TEXT ]
Country2 [ TEXT ]
Length [ REAL ]
city :
Name [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
Population [ INTEGER ]
Longitude [ REAL ]
Latitude [ REAL ]
continent :
Name [ TEXT ] primary_key
Area [ REAL ]
country :
Name [ TEXT ]
Code [ TEXT ] primary_key
Capital [ TEXT ]
Province [ TEXT ]
Area [ REAL ]
Population [ INTEGER ]
desert :
Name [ TEXT ] primary_key
Area [ REAL ]
Longitude [ REAL ]
Latitude [ REAL ]
economy :
Country [ TEXT ] primary_key
GDP [ REAL ]
Agriculture [ REAL ]
Service [ REAL ]
Industry [ REAL ]
Inflation [ REAL ]
encompasses :
Country [ TEXT ]
Continent [ TEXT ]
Percentage [ REAL ]
ethnicGroup :
Country [ TEXT ]
Name [ TEXT ]
Percentage [ REAL ]
geo_desert :
Desert [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_estuary :
River [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_island :
Island [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_lake :
Lake [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_mountain :
Mountain [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_river :
River [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_sea :
Sea [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_source :
River [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
island :
Name [ TEXT ] primary_key
Islands [ TEXT ]
Area [ REAL ]
Height [ REAL ]
Type [ TEXT ]
Longitude [ REAL ]
Latitude [ REAL ]
islandIn :
Island [ TEXT ]
Sea [ TEXT ]
Lake [ TEXT ]
River [ TEXT ]
isMember :
Country [ TEXT ]
Organization [ TEXT ]
Type [ TEXT ]
lake :
Name [ TEXT ] primary_key
Area [ REAL ]
Depth [ REAL ]
Altitude [ REAL ]
Type [ TEXT ]
River [ TEXT ]
Longitude [ REAL ]
Latitude [ REAL ]
language :
Country [ TEXT ]
Name [ TEXT ]
Percentage [ REAL ]
located :
City [ TEXT ]
Province [ TEXT ]
Country [ TEXT ]
River [ TEXT ]
Lake [ TEXT ]
Sea [ TEXT ]
locatedOn :
City [ TEXT ]
Province [ TEXT ]
Country [ TEXT ]
Island [ TEXT ]
mergesWith :
Sea1 [ TEXT ]
Sea2 [ TEXT ]
mountain :
Name [ TEXT ] primary_key
Mountains [ TEXT ]
Height [ REAL ]
Type [ TEXT ]
Longitude [ REAL ]
Latitude [ REAL ]
mountainOnIsland :
Mountain [ TEXT ]
Island [ TEXT ]
organization :
Abbreviation [ TEXT ] primary_key
Name [ TEXT ]
City [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
Established [ DATE ]
politics :
Country [ TEXT ] primary_key
Independence [ DATE ]
Dependent [ TEXT ]
Government [ TEXT ]
population :
Country [ TEXT ] primary_key
Population_Growth [ REAL ]
Infant_Mortality [ REAL ]
province :
Name [ TEXT ]
Country [ TEXT ]
Population [ INTEGER ]
Area [ REAL ]
Capital [ TEXT ]
CapProv [ TEXT ]
religion :
Country [ TEXT ]
Name [ TEXT ]
Percentage [ REAL ]
river :
Name [ TEXT ] primary_key
River [ TEXT ]
Lake [ TEXT ]
Sea [ TEXT ]
Length [ REAL ]
SourceLongitude [ REAL ]
SourceLatitude [ REAL ]
Mountains [ TEXT ]
SourceAltitude [ REAL ]
EstuaryLongitude [ REAL ]
EstuaryLatitude [ REAL ]
sea :
Name [ TEXT ] primary_key
Depth [ REAL ]
target :
Country [ TEXT ] primary_key
Target [ TEXT ]
Please write me a SQL statement that answers the following question: What is the most populated city of the 12th highest density country? [/INST] | SELECT T2.Name FROM country AS T1 INNER JOIN city AS T2 ON T1.Code = T2.Country WHERE T1.Name = ( SELECT Name FROM country ORDER BY CAST(Population AS REAL) / Area LIMIT 11, 1 ) ORDER BY T2.Population DESC LIMIT 1; |
[INST] Here is a database schema:
borders :
Country1 [ TEXT ]
Country2 [ TEXT ]
Length [ REAL ]
city :
Name [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
Population [ INTEGER ]
Longitude [ REAL ]
Latitude [ REAL ]
continent :
Name [ TEXT ] primary_key
Area [ REAL ]
country :
Name [ TEXT ]
Code [ TEXT ] primary_key
Capital [ TEXT ]
Province [ TEXT ]
Area [ REAL ]
Population [ INTEGER ]
desert :
Name [ TEXT ] primary_key
Area [ REAL ]
Longitude [ REAL ]
Latitude [ REAL ]
economy :
Country [ TEXT ] primary_key
GDP [ REAL ]
Agriculture [ REAL ]
Service [ REAL ]
Industry [ REAL ]
Inflation [ REAL ]
encompasses :
Country [ TEXT ]
Continent [ TEXT ]
Percentage [ REAL ]
ethnicGroup :
Country [ TEXT ]
Name [ TEXT ]
Percentage [ REAL ]
geo_desert :
Desert [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_estuary :
River [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_island :
Island [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_lake :
Lake [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_mountain :
Mountain [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_river :
River [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_sea :
Sea [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_source :
River [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
island :
Name [ TEXT ] primary_key
Islands [ TEXT ]
Area [ REAL ]
Height [ REAL ]
Type [ TEXT ]
Longitude [ REAL ]
Latitude [ REAL ]
islandIn :
Island [ TEXT ]
Sea [ TEXT ]
Lake [ TEXT ]
River [ TEXT ]
isMember :
Country [ TEXT ]
Organization [ TEXT ]
Type [ TEXT ]
lake :
Name [ TEXT ] primary_key
Area [ REAL ]
Depth [ REAL ]
Altitude [ REAL ]
Type [ TEXT ]
River [ TEXT ]
Longitude [ REAL ]
Latitude [ REAL ]
language :
Country [ TEXT ]
Name [ TEXT ]
Percentage [ REAL ]
located :
City [ TEXT ]
Province [ TEXT ]
Country [ TEXT ]
River [ TEXT ]
Lake [ TEXT ]
Sea [ TEXT ]
locatedOn :
City [ TEXT ]
Province [ TEXT ]
Country [ TEXT ]
Island [ TEXT ]
mergesWith :
Sea1 [ TEXT ]
Sea2 [ TEXT ]
mountain :
Name [ TEXT ] primary_key
Mountains [ TEXT ]
Height [ REAL ]
Type [ TEXT ]
Longitude [ REAL ]
Latitude [ REAL ]
mountainOnIsland :
Mountain [ TEXT ]
Island [ TEXT ]
organization :
Abbreviation [ TEXT ] primary_key
Name [ TEXT ]
City [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
Established [ DATE ]
politics :
Country [ TEXT ] primary_key
Independence [ DATE ]
Dependent [ TEXT ]
Government [ TEXT ]
population :
Country [ TEXT ] primary_key
Population_Growth [ REAL ]
Infant_Mortality [ REAL ]
province :
Name [ TEXT ]
Country [ TEXT ]
Population [ INTEGER ]
Area [ REAL ]
Capital [ TEXT ]
CapProv [ TEXT ]
religion :
Country [ TEXT ]
Name [ TEXT ]
Percentage [ REAL ]
river :
Name [ TEXT ] primary_key
River [ TEXT ]
Lake [ TEXT ]
Sea [ TEXT ]
Length [ REAL ]
SourceLongitude [ REAL ]
SourceLatitude [ REAL ]
Mountains [ TEXT ]
SourceAltitude [ REAL ]
EstuaryLongitude [ REAL ]
EstuaryLatitude [ REAL ]
sea :
Name [ TEXT ] primary_key
Depth [ REAL ]
target :
Country [ TEXT ] primary_key
Target [ TEXT ]
Please write me a SQL statement that answers the following question: How many times longer is the longest border in the United States than the shortest? [/INST] | SELECT MAX(T2.Length) / MIN(T2.Length) FROM country AS T1 INNER JOIN borders AS T2 ON T1.Code = T2.Country2 WHERE T1.Name = 'United States'; |
[INST] Here is a database schema:
borders :
Country1 [ TEXT ]
Country2 [ TEXT ]
Length [ REAL ]
city :
Name [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
Population [ INTEGER ]
Longitude [ REAL ]
Latitude [ REAL ]
continent :
Name [ TEXT ] primary_key
Area [ REAL ]
country :
Name [ TEXT ]
Code [ TEXT ] primary_key
Capital [ TEXT ]
Province [ TEXT ]
Area [ REAL ]
Population [ INTEGER ]
desert :
Name [ TEXT ] primary_key
Area [ REAL ]
Longitude [ REAL ]
Latitude [ REAL ]
economy :
Country [ TEXT ] primary_key
GDP [ REAL ]
Agriculture [ REAL ]
Service [ REAL ]
Industry [ REAL ]
Inflation [ REAL ]
encompasses :
Country [ TEXT ]
Continent [ TEXT ]
Percentage [ REAL ]
ethnicGroup :
Country [ TEXT ]
Name [ TEXT ]
Percentage [ REAL ]
geo_desert :
Desert [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_estuary :
River [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_island :
Island [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_lake :
Lake [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_mountain :
Mountain [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_river :
River [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_sea :
Sea [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_source :
River [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
island :
Name [ TEXT ] primary_key
Islands [ TEXT ]
Area [ REAL ]
Height [ REAL ]
Type [ TEXT ]
Longitude [ REAL ]
Latitude [ REAL ]
islandIn :
Island [ TEXT ]
Sea [ TEXT ]
Lake [ TEXT ]
River [ TEXT ]
isMember :
Country [ TEXT ]
Organization [ TEXT ]
Type [ TEXT ]
lake :
Name [ TEXT ] primary_key
Area [ REAL ]
Depth [ REAL ]
Altitude [ REAL ]
Type [ TEXT ]
River [ TEXT ]
Longitude [ REAL ]
Latitude [ REAL ]
language :
Country [ TEXT ]
Name [ TEXT ]
Percentage [ REAL ]
located :
City [ TEXT ]
Province [ TEXT ]
Country [ TEXT ]
River [ TEXT ]
Lake [ TEXT ]
Sea [ TEXT ]
locatedOn :
City [ TEXT ]
Province [ TEXT ]
Country [ TEXT ]
Island [ TEXT ]
mergesWith :
Sea1 [ TEXT ]
Sea2 [ TEXT ]
mountain :
Name [ TEXT ] primary_key
Mountains [ TEXT ]
Height [ REAL ]
Type [ TEXT ]
Longitude [ REAL ]
Latitude [ REAL ]
mountainOnIsland :
Mountain [ TEXT ]
Island [ TEXT ]
organization :
Abbreviation [ TEXT ] primary_key
Name [ TEXT ]
City [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
Established [ DATE ]
politics :
Country [ TEXT ] primary_key
Independence [ DATE ]
Dependent [ TEXT ]
Government [ TEXT ]
population :
Country [ TEXT ] primary_key
Population_Growth [ REAL ]
Infant_Mortality [ REAL ]
province :
Name [ TEXT ]
Country [ TEXT ]
Population [ INTEGER ]
Area [ REAL ]
Capital [ TEXT ]
CapProv [ TEXT ]
religion :
Country [ TEXT ]
Name [ TEXT ]
Percentage [ REAL ]
river :
Name [ TEXT ] primary_key
River [ TEXT ]
Lake [ TEXT ]
Sea [ TEXT ]
Length [ REAL ]
SourceLongitude [ REAL ]
SourceLatitude [ REAL ]
Mountains [ TEXT ]
SourceAltitude [ REAL ]
EstuaryLongitude [ REAL ]
EstuaryLatitude [ REAL ]
sea :
Name [ TEXT ] primary_key
Depth [ REAL ]
target :
Country [ TEXT ] primary_key
Target [ TEXT ]
Please write me a SQL statement that answers the following question: Please list the capital cities of the countries that have more than 4 mountains. [/INST] | SELECT T1.Capital FROM country AS T1 INNER JOIN geo_mountain AS T2 ON T1.Code = T2.Country GROUP BY T1.Name, T1.Capital HAVING COUNT(T1.Name) > 4; |
[INST] Here is a database schema:
borders :
Country1 [ TEXT ]
Country2 [ TEXT ]
Length [ REAL ]
city :
Name [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
Population [ INTEGER ]
Longitude [ REAL ]
Latitude [ REAL ]
continent :
Name [ TEXT ] primary_key
Area [ REAL ]
country :
Name [ TEXT ]
Code [ TEXT ] primary_key
Capital [ TEXT ]
Province [ TEXT ]
Area [ REAL ]
Population [ INTEGER ]
desert :
Name [ TEXT ] primary_key
Area [ REAL ]
Longitude [ REAL ]
Latitude [ REAL ]
economy :
Country [ TEXT ] primary_key
GDP [ REAL ]
Agriculture [ REAL ]
Service [ REAL ]
Industry [ REAL ]
Inflation [ REAL ]
encompasses :
Country [ TEXT ]
Continent [ TEXT ]
Percentage [ REAL ]
ethnicGroup :
Country [ TEXT ]
Name [ TEXT ]
Percentage [ REAL ]
geo_desert :
Desert [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_estuary :
River [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_island :
Island [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_lake :
Lake [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_mountain :
Mountain [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_river :
River [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_sea :
Sea [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_source :
River [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
island :
Name [ TEXT ] primary_key
Islands [ TEXT ]
Area [ REAL ]
Height [ REAL ]
Type [ TEXT ]
Longitude [ REAL ]
Latitude [ REAL ]
islandIn :
Island [ TEXT ]
Sea [ TEXT ]
Lake [ TEXT ]
River [ TEXT ]
isMember :
Country [ TEXT ]
Organization [ TEXT ]
Type [ TEXT ]
lake :
Name [ TEXT ] primary_key
Area [ REAL ]
Depth [ REAL ]
Altitude [ REAL ]
Type [ TEXT ]
River [ TEXT ]
Longitude [ REAL ]
Latitude [ REAL ]
language :
Country [ TEXT ]
Name [ TEXT ]
Percentage [ REAL ]
located :
City [ TEXT ]
Province [ TEXT ]
Country [ TEXT ]
River [ TEXT ]
Lake [ TEXT ]
Sea [ TEXT ]
locatedOn :
City [ TEXT ]
Province [ TEXT ]
Country [ TEXT ]
Island [ TEXT ]
mergesWith :
Sea1 [ TEXT ]
Sea2 [ TEXT ]
mountain :
Name [ TEXT ] primary_key
Mountains [ TEXT ]
Height [ REAL ]
Type [ TEXT ]
Longitude [ REAL ]
Latitude [ REAL ]
mountainOnIsland :
Mountain [ TEXT ]
Island [ TEXT ]
organization :
Abbreviation [ TEXT ] primary_key
Name [ TEXT ]
City [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
Established [ DATE ]
politics :
Country [ TEXT ] primary_key
Independence [ DATE ]
Dependent [ TEXT ]
Government [ TEXT ]
population :
Country [ TEXT ] primary_key
Population_Growth [ REAL ]
Infant_Mortality [ REAL ]
province :
Name [ TEXT ]
Country [ TEXT ]
Population [ INTEGER ]
Area [ REAL ]
Capital [ TEXT ]
CapProv [ TEXT ]
religion :
Country [ TEXT ]
Name [ TEXT ]
Percentage [ REAL ]
river :
Name [ TEXT ] primary_key
River [ TEXT ]
Lake [ TEXT ]
Sea [ TEXT ]
Length [ REAL ]
SourceLongitude [ REAL ]
SourceLatitude [ REAL ]
Mountains [ TEXT ]
SourceAltitude [ REAL ]
EstuaryLongitude [ REAL ]
EstuaryLatitude [ REAL ]
sea :
Name [ TEXT ] primary_key
Depth [ REAL ]
target :
Country [ TEXT ] primary_key
Target [ TEXT ]
Please write me a SQL statement that answers the following question: How many mountains are there in the country with the greatest population? [/INST] | SELECT COUNT(T2.Mountain) FROM country AS T1 INNER JOIN geo_mountain AS T2 ON T1.Code = T2.Country GROUP BY T1.Name ORDER BY T1.Population DESC LIMIT 1; |
[INST] Here is a database schema:
borders :
Country1 [ TEXT ]
Country2 [ TEXT ]
Length [ REAL ]
city :
Name [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
Population [ INTEGER ]
Longitude [ REAL ]
Latitude [ REAL ]
continent :
Name [ TEXT ] primary_key
Area [ REAL ]
country :
Name [ TEXT ]
Code [ TEXT ] primary_key
Capital [ TEXT ]
Province [ TEXT ]
Area [ REAL ]
Population [ INTEGER ]
desert :
Name [ TEXT ] primary_key
Area [ REAL ]
Longitude [ REAL ]
Latitude [ REAL ]
economy :
Country [ TEXT ] primary_key
GDP [ REAL ]
Agriculture [ REAL ]
Service [ REAL ]
Industry [ REAL ]
Inflation [ REAL ]
encompasses :
Country [ TEXT ]
Continent [ TEXT ]
Percentage [ REAL ]
ethnicGroup :
Country [ TEXT ]
Name [ TEXT ]
Percentage [ REAL ]
geo_desert :
Desert [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_estuary :
River [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_island :
Island [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_lake :
Lake [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_mountain :
Mountain [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_river :
River [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_sea :
Sea [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
geo_source :
River [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
island :
Name [ TEXT ] primary_key
Islands [ TEXT ]
Area [ REAL ]
Height [ REAL ]
Type [ TEXT ]
Longitude [ REAL ]
Latitude [ REAL ]
islandIn :
Island [ TEXT ]
Sea [ TEXT ]
Lake [ TEXT ]
River [ TEXT ]
isMember :
Country [ TEXT ]
Organization [ TEXT ]
Type [ TEXT ]
lake :
Name [ TEXT ] primary_key
Area [ REAL ]
Depth [ REAL ]
Altitude [ REAL ]
Type [ TEXT ]
River [ TEXT ]
Longitude [ REAL ]
Latitude [ REAL ]
language :
Country [ TEXT ]
Name [ TEXT ]
Percentage [ REAL ]
located :
City [ TEXT ]
Province [ TEXT ]
Country [ TEXT ]
River [ TEXT ]
Lake [ TEXT ]
Sea [ TEXT ]
locatedOn :
City [ TEXT ]
Province [ TEXT ]
Country [ TEXT ]
Island [ TEXT ]
mergesWith :
Sea1 [ TEXT ]
Sea2 [ TEXT ]
mountain :
Name [ TEXT ] primary_key
Mountains [ TEXT ]
Height [ REAL ]
Type [ TEXT ]
Longitude [ REAL ]
Latitude [ REAL ]
mountainOnIsland :
Mountain [ TEXT ]
Island [ TEXT ]
organization :
Abbreviation [ TEXT ] primary_key
Name [ TEXT ]
City [ TEXT ]
Country [ TEXT ]
Province [ TEXT ]
Established [ DATE ]
politics :
Country [ TEXT ] primary_key
Independence [ DATE ]
Dependent [ TEXT ]
Government [ TEXT ]
population :
Country [ TEXT ] primary_key
Population_Growth [ REAL ]
Infant_Mortality [ REAL ]
province :
Name [ TEXT ]
Country [ TEXT ]
Population [ INTEGER ]
Area [ REAL ]
Capital [ TEXT ]
CapProv [ TEXT ]
religion :
Country [ TEXT ]
Name [ TEXT ]
Percentage [ REAL ]
river :
Name [ TEXT ] primary_key
River [ TEXT ]
Lake [ TEXT ]
Sea [ TEXT ]
Length [ REAL ]
SourceLongitude [ REAL ]
SourceLatitude [ REAL ]
Mountains [ TEXT ]
SourceAltitude [ REAL ]
EstuaryLongitude [ REAL ]
EstuaryLatitude [ REAL ]
sea :
Name [ TEXT ] primary_key
Depth [ REAL ]
target :
Country [ TEXT ] primary_key
Target [ TEXT ]
Please write me a SQL statement that answers the following question: Among the countries whose agriculture takes up more than 40% of its GDP, how many of them have less than 2 mountains? [/INST] | SELECT COUNT(T3.Country) FROM ( SELECT T1.Country FROM economy AS T1 INNER JOIN geo_mountain AS T2 ON T1.Country = T2.Country WHERE T1.Industry < 40 GROUP BY T1.Country HAVING COUNT(T1.Country) < 2 ) AS T3; |
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