input
stringlengths 358
16.1k
| output
stringlengths 24
805
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|---|---|
[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 Asian country gave its agricultural sector the largest share of its gross domestic product? [/INST] | SELECT T2.Country FROM continent AS T1 INNER JOIN encompasses AS T2 ON T1.Name = T2.Continent INNER JOIN country AS T3 ON T2.Country = T3.Code INNER JOIN economy AS T4 ON T4.Country = T3.Code WHERE T1.Name = 'Asia' ORDER BY T4.Agriculture 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 form of governance does the least prosperous nation in the world have? [/INST] | SELECT T3.Government FROM country AS T1 INNER JOIN economy AS T2 ON T1.Code = T2.Country INNER JOIN politics AS T3 ON T3.Country = T2.Country WHERE T2.GDP IS NOT NULL ORDER BY T2.GDP 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: What year saw the greatest number of organizations created on the European continent? [/INST] | SELECT STRFTIME('%Y', T4.Established) FROM continent AS T1 INNER JOIN encompasses AS T2 ON T1.Name = T2.Continent INNER JOIN country AS T3 ON T2.Country = T3.Code INNER JOIN organization AS T4 ON T4.Country = T3.Code WHERE T1.Name = 'Europe' GROUP BY STRFTIME('%Y', T4.Established) ORDER BY COUNT(T4.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 other country does the most populated nation in the world share a border with and how long is the border between the two nations? [/INST] | SELECT T2.Country2, T2.Length FROM country AS T1 INNER JOIN borders AS T2 ON T1.Code = T2.Country1 INNER JOIN country AS T3 ON T3.Code = T2.Country2 WHERE T1.Name = ( SELECT Name FROM country ORDER BY 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 population density of the nation whose capital city is in the Distrito Federal province, and what portion of its gross domestic product is devoted to its industries? [/INST] | SELECT T1.Population / T1.Area, T2.Industry FROM country AS T1 INNER JOIN economy AS T2 ON T1.Code = T2.Country WHERE T1.Province = 'Distrito Federal'; |
[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: Lists all governments with a parliamentary democracy that achieved their independence between 01/01/1950 and 12/31/1999. [/INST] | SELECT * FROM politics WHERE STRFTIME('%Y', Independence) BETWEEN '1950' AND '1999' AND Government = 'parliamentary democracy'; |
[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 percentage of countries became independent during the year 1960? [/INST] | SELECT CAST(SUM(CASE WHEN STRFTIME('%Y', Independence) = '1960' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(Country) FROM politics; |
[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 deserts that are not between latitudes 30 and 40. [/INST] | SELECT Name FROM desert WHERE Latitude < 30 OR Latitude > 40; |
[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: Indicate the coordinates of all the deserts whose area is in more than one country. [/INST] | SELECT T1.Latitude, T1.Longitude FROM desert AS T1 INNER JOIN geo_desert AS T2 ON T1.Name = T2.Desert GROUP BY T1.Name, T1.Latitude, T1.Longitude HAVING COUNT(T1.Name) > 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 provincial capital of the province with a population of less than 80,000 that has the highest average population per area? [/INST] | SELECT CapProv FROM province WHERE Population < 80000 ORDER BY Population / Area DESC LIMIT 1; |
[INST] Here is a database schema:
Demog :
GEOID [ INTEGER ] primary_key
INHABITANTS_K [ REAL ]
INCOME_K [ REAL ]
A_VAR1 [ REAL ]
A_VAR2 [ REAL ]
A_VAR3 [ REAL ]
A_VAR4 [ REAL ]
A_VAR5 [ REAL ]
A_VAR6 [ REAL ]
A_VAR7 [ REAL ]
A_VAR8 [ REAL ]
A_VAR9 [ REAL ]
A_VAR10 [ REAL ]
A_VAR11 [ REAL ]
A_VAR12 [ REAL ]
A_VAR13 [ REAL ]
A_VAR14 [ REAL ]
A_VAR15 [ REAL ]
A_VAR16 [ REAL ]
A_VAR17 [ REAL ]
A_VAR18 [ REAL ]
mailings3 :
REFID [ INTEGER ] primary_key
REF_DATE [ DATETIME ]
RESPONSE [ TEXT ]
Customers :
ID [ INTEGER ] primary_key
SEX [ TEXT ]
MARITAL_STATUS [ TEXT ]
GEOID [ INTEGER ]
EDUCATIONNUM [ INTEGER ]
OCCUPATION [ TEXT ]
age [ INTEGER ]
Mailings1_2 :
REFID [ INTEGER ] primary_key
REF_DATE [ DATETIME ]
RESPONSE [ TEXT ]
Sales :
EVENTID [ INTEGER ] primary_key
REFID [ INTEGER ]
EVENT_DATE [ DATETIME ]
AMOUNT [ REAL ]
Please write me a SQL statement that answers the following question: How many customers have never married? [/INST] | SELECT COUNT(ID) FROM Customers WHERE MARITAL_STATUS = 'Never-married'; |
[INST] Here is a database schema:
Demog :
GEOID [ INTEGER ] primary_key
INHABITANTS_K [ REAL ]
INCOME_K [ REAL ]
A_VAR1 [ REAL ]
A_VAR2 [ REAL ]
A_VAR3 [ REAL ]
A_VAR4 [ REAL ]
A_VAR5 [ REAL ]
A_VAR6 [ REAL ]
A_VAR7 [ REAL ]
A_VAR8 [ REAL ]
A_VAR9 [ REAL ]
A_VAR10 [ REAL ]
A_VAR11 [ REAL ]
A_VAR12 [ REAL ]
A_VAR13 [ REAL ]
A_VAR14 [ REAL ]
A_VAR15 [ REAL ]
A_VAR16 [ REAL ]
A_VAR17 [ REAL ]
A_VAR18 [ REAL ]
mailings3 :
REFID [ INTEGER ] primary_key
REF_DATE [ DATETIME ]
RESPONSE [ TEXT ]
Customers :
ID [ INTEGER ] primary_key
SEX [ TEXT ]
MARITAL_STATUS [ TEXT ]
GEOID [ INTEGER ]
EDUCATIONNUM [ INTEGER ]
OCCUPATION [ TEXT ]
age [ INTEGER ]
Mailings1_2 :
REFID [ INTEGER ] primary_key
REF_DATE [ DATETIME ]
RESPONSE [ TEXT ]
Sales :
EVENTID [ INTEGER ] primary_key
REFID [ INTEGER ]
EVENT_DATE [ DATETIME ]
AMOUNT [ REAL ]
Please write me a SQL statement that answers the following question: Among all the customers, how many of them are teenagers? [/INST] | SELECT COUNT(ID) FROM Customers WHERE age >= 13 AND age <= 19; |
[INST] Here is a database schema:
Demog :
GEOID [ INTEGER ] primary_key
INHABITANTS_K [ REAL ]
INCOME_K [ REAL ]
A_VAR1 [ REAL ]
A_VAR2 [ REAL ]
A_VAR3 [ REAL ]
A_VAR4 [ REAL ]
A_VAR5 [ REAL ]
A_VAR6 [ REAL ]
A_VAR7 [ REAL ]
A_VAR8 [ REAL ]
A_VAR9 [ REAL ]
A_VAR10 [ REAL ]
A_VAR11 [ REAL ]
A_VAR12 [ REAL ]
A_VAR13 [ REAL ]
A_VAR14 [ REAL ]
A_VAR15 [ REAL ]
A_VAR16 [ REAL ]
A_VAR17 [ REAL ]
A_VAR18 [ REAL ]
mailings3 :
REFID [ INTEGER ] primary_key
REF_DATE [ DATETIME ]
RESPONSE [ TEXT ]
Customers :
ID [ INTEGER ] primary_key
SEX [ TEXT ]
MARITAL_STATUS [ TEXT ]
GEOID [ INTEGER ]
EDUCATIONNUM [ INTEGER ]
OCCUPATION [ TEXT ]
age [ INTEGER ]
Mailings1_2 :
REFID [ INTEGER ] primary_key
REF_DATE [ DATETIME ]
RESPONSE [ TEXT ]
Sales :
EVENTID [ INTEGER ] primary_key
REFID [ INTEGER ]
EVENT_DATE [ DATETIME ]
AMOUNT [ REAL ]
Please write me a SQL statement that answers the following question: Please list the occupations of the customers with an education level of 11. [/INST] | SELECT DISTINCT OCCUPATION FROM Customers WHERE EDUCATIONNUM = 11; |
[INST] Here is a database schema:
Demog :
GEOID [ INTEGER ] primary_key
INHABITANTS_K [ REAL ]
INCOME_K [ REAL ]
A_VAR1 [ REAL ]
A_VAR2 [ REAL ]
A_VAR3 [ REAL ]
A_VAR4 [ REAL ]
A_VAR5 [ REAL ]
A_VAR6 [ REAL ]
A_VAR7 [ REAL ]
A_VAR8 [ REAL ]
A_VAR9 [ REAL ]
A_VAR10 [ REAL ]
A_VAR11 [ REAL ]
A_VAR12 [ REAL ]
A_VAR13 [ REAL ]
A_VAR14 [ REAL ]
A_VAR15 [ REAL ]
A_VAR16 [ REAL ]
A_VAR17 [ REAL ]
A_VAR18 [ REAL ]
mailings3 :
REFID [ INTEGER ] primary_key
REF_DATE [ DATETIME ]
RESPONSE [ TEXT ]
Customers :
ID [ INTEGER ] primary_key
SEX [ TEXT ]
MARITAL_STATUS [ TEXT ]
GEOID [ INTEGER ]
EDUCATIONNUM [ INTEGER ]
OCCUPATION [ TEXT ]
age [ INTEGER ]
Mailings1_2 :
REFID [ INTEGER ] primary_key
REF_DATE [ DATETIME ]
RESPONSE [ TEXT ]
Sales :
EVENTID [ INTEGER ] primary_key
REFID [ INTEGER ]
EVENT_DATE [ DATETIME ]
AMOUNT [ REAL ]
Please write me a SQL statement that answers the following question: Of the first 60,000 customers' responses to the incentive mailing sent by the marketing department, how many of them are considered a true response? [/INST] | SELECT COUNT(REFID) custmoer_number FROM Mailings1_2 WHERE RESPONSE = 'true'; |
[INST] Here is a database schema:
Demog :
GEOID [ INTEGER ] primary_key
INHABITANTS_K [ REAL ]
INCOME_K [ REAL ]
A_VAR1 [ REAL ]
A_VAR2 [ REAL ]
A_VAR3 [ REAL ]
A_VAR4 [ REAL ]
A_VAR5 [ REAL ]
A_VAR6 [ REAL ]
A_VAR7 [ REAL ]
A_VAR8 [ REAL ]
A_VAR9 [ REAL ]
A_VAR10 [ REAL ]
A_VAR11 [ REAL ]
A_VAR12 [ REAL ]
A_VAR13 [ REAL ]
A_VAR14 [ REAL ]
A_VAR15 [ REAL ]
A_VAR16 [ REAL ]
A_VAR17 [ REAL ]
A_VAR18 [ REAL ]
mailings3 :
REFID [ INTEGER ] primary_key
REF_DATE [ DATETIME ]
RESPONSE [ TEXT ]
Customers :
ID [ INTEGER ] primary_key
SEX [ TEXT ]
MARITAL_STATUS [ TEXT ]
GEOID [ INTEGER ]
EDUCATIONNUM [ INTEGER ]
OCCUPATION [ TEXT ]
age [ INTEGER ]
Mailings1_2 :
REFID [ INTEGER ] primary_key
REF_DATE [ DATETIME ]
RESPONSE [ TEXT ]
Sales :
EVENTID [ INTEGER ] primary_key
REFID [ INTEGER ]
EVENT_DATE [ DATETIME ]
AMOUNT [ REAL ]
Please write me a SQL statement that answers the following question: Among the customers over 30, how many of them are Machine-op-inspcts? [/INST] | SELECT COUNT(ID) FROM Customers WHERE OCCUPATION = 'Machine-op-inspct' AND age > 30; |
[INST] Here is a database schema:
Demog :
GEOID [ INTEGER ] primary_key
INHABITANTS_K [ REAL ]
INCOME_K [ REAL ]
A_VAR1 [ REAL ]
A_VAR2 [ REAL ]
A_VAR3 [ REAL ]
A_VAR4 [ REAL ]
A_VAR5 [ REAL ]
A_VAR6 [ REAL ]
A_VAR7 [ REAL ]
A_VAR8 [ REAL ]
A_VAR9 [ REAL ]
A_VAR10 [ REAL ]
A_VAR11 [ REAL ]
A_VAR12 [ REAL ]
A_VAR13 [ REAL ]
A_VAR14 [ REAL ]
A_VAR15 [ REAL ]
A_VAR16 [ REAL ]
A_VAR17 [ REAL ]
A_VAR18 [ REAL ]
mailings3 :
REFID [ INTEGER ] primary_key
REF_DATE [ DATETIME ]
RESPONSE [ TEXT ]
Customers :
ID [ INTEGER ] primary_key
SEX [ TEXT ]
MARITAL_STATUS [ TEXT ]
GEOID [ INTEGER ]
EDUCATIONNUM [ INTEGER ]
OCCUPATION [ TEXT ]
age [ INTEGER ]
Mailings1_2 :
REFID [ INTEGER ] primary_key
REF_DATE [ DATETIME ]
RESPONSE [ TEXT ]
Sales :
EVENTID [ INTEGER ] primary_key
REFID [ INTEGER ]
EVENT_DATE [ DATETIME ]
AMOUNT [ REAL ]
Please write me a SQL statement that answers the following question: How many female customers have an education level of over 11? [/INST] | SELECT COUNT(ID) FROM Customers WHERE EDUCATIONNUM > 11 AND SEX = 'Female'; |
[INST] Here is a database schema:
Demog :
GEOID [ INTEGER ] primary_key
INHABITANTS_K [ REAL ]
INCOME_K [ REAL ]
A_VAR1 [ REAL ]
A_VAR2 [ REAL ]
A_VAR3 [ REAL ]
A_VAR4 [ REAL ]
A_VAR5 [ REAL ]
A_VAR6 [ REAL ]
A_VAR7 [ REAL ]
A_VAR8 [ REAL ]
A_VAR9 [ REAL ]
A_VAR10 [ REAL ]
A_VAR11 [ REAL ]
A_VAR12 [ REAL ]
A_VAR13 [ REAL ]
A_VAR14 [ REAL ]
A_VAR15 [ REAL ]
A_VAR16 [ REAL ]
A_VAR17 [ REAL ]
A_VAR18 [ REAL ]
mailings3 :
REFID [ INTEGER ] primary_key
REF_DATE [ DATETIME ]
RESPONSE [ TEXT ]
Customers :
ID [ INTEGER ] primary_key
SEX [ TEXT ]
MARITAL_STATUS [ TEXT ]
GEOID [ INTEGER ]
EDUCATIONNUM [ INTEGER ]
OCCUPATION [ TEXT ]
age [ INTEGER ]
Mailings1_2 :
REFID [ INTEGER ] primary_key
REF_DATE [ DATETIME ]
RESPONSE [ TEXT ]
Sales :
EVENTID [ INTEGER ] primary_key
REFID [ INTEGER ]
EVENT_DATE [ DATETIME ]
AMOUNT [ REAL ]
Please write me a SQL statement that answers the following question: Of the first 60,000 customers who sent a true response to the incentive mailing sent by the marketing department, how many of them are female? [/INST] | SELECT COUNT(T1.ID) FROM Customers AS T1 INNER JOIN Mailings1_2 AS T2 ON T1.ID = T2.REFID WHERE T1.SEX = 'Female' AND T2.RESPONSE = 'true'; |
[INST] Here is a database schema:
Demog :
GEOID [ INTEGER ] primary_key
INHABITANTS_K [ REAL ]
INCOME_K [ REAL ]
A_VAR1 [ REAL ]
A_VAR2 [ REAL ]
A_VAR3 [ REAL ]
A_VAR4 [ REAL ]
A_VAR5 [ REAL ]
A_VAR6 [ REAL ]
A_VAR7 [ REAL ]
A_VAR8 [ REAL ]
A_VAR9 [ REAL ]
A_VAR10 [ REAL ]
A_VAR11 [ REAL ]
A_VAR12 [ REAL ]
A_VAR13 [ REAL ]
A_VAR14 [ REAL ]
A_VAR15 [ REAL ]
A_VAR16 [ REAL ]
A_VAR17 [ REAL ]
A_VAR18 [ REAL ]
mailings3 :
REFID [ INTEGER ] primary_key
REF_DATE [ DATETIME ]
RESPONSE [ TEXT ]
Customers :
ID [ INTEGER ] primary_key
SEX [ TEXT ]
MARITAL_STATUS [ TEXT ]
GEOID [ INTEGER ]
EDUCATIONNUM [ INTEGER ]
OCCUPATION [ TEXT ]
age [ INTEGER ]
Mailings1_2 :
REFID [ INTEGER ] primary_key
REF_DATE [ DATETIME ]
RESPONSE [ TEXT ]
Sales :
EVENTID [ INTEGER ] primary_key
REFID [ INTEGER ]
EVENT_DATE [ DATETIME ]
AMOUNT [ REAL ]
Please write me a SQL statement that answers the following question: Please list the occupations of the customers over 40 and have sent a true response to the incentive mailing sent by the marketing department. [/INST] | SELECT DISTINCT T1.OCCUPATION FROM Customers AS T1 INNER JOIN Mailings1_2 AS T2 ON T1.ID = T2.REFID WHERE T1.age > 40 AND T2.RESPONSE = 'true'; |
[INST] Here is a database schema:
Demog :
GEOID [ INTEGER ] primary_key
INHABITANTS_K [ REAL ]
INCOME_K [ REAL ]
A_VAR1 [ REAL ]
A_VAR2 [ REAL ]
A_VAR3 [ REAL ]
A_VAR4 [ REAL ]
A_VAR5 [ REAL ]
A_VAR6 [ REAL ]
A_VAR7 [ REAL ]
A_VAR8 [ REAL ]
A_VAR9 [ REAL ]
A_VAR10 [ REAL ]
A_VAR11 [ REAL ]
A_VAR12 [ REAL ]
A_VAR13 [ REAL ]
A_VAR14 [ REAL ]
A_VAR15 [ REAL ]
A_VAR16 [ REAL ]
A_VAR17 [ REAL ]
A_VAR18 [ REAL ]
mailings3 :
REFID [ INTEGER ] primary_key
REF_DATE [ DATETIME ]
RESPONSE [ TEXT ]
Customers :
ID [ INTEGER ] primary_key
SEX [ TEXT ]
MARITAL_STATUS [ TEXT ]
GEOID [ INTEGER ]
EDUCATIONNUM [ INTEGER ]
OCCUPATION [ TEXT ]
age [ INTEGER ]
Mailings1_2 :
REFID [ INTEGER ] primary_key
REF_DATE [ DATETIME ]
RESPONSE [ TEXT ]
Sales :
EVENTID [ INTEGER ] primary_key
REFID [ INTEGER ]
EVENT_DATE [ DATETIME ]
AMOUNT [ REAL ]
Please write me a SQL statement that answers the following question: Among the male customers, how many of them come from a place with over 30,000 inhabitants? [/INST] | SELECT COUNT(T1.GEOID) FROM Customers AS T1 INNER JOIN Demog AS T2 ON T1.GEOID = T2.GEOID WHERE T1.SEX = 'Male' AND T2.INHABITANTS_K > 30; |
[INST] Here is a database schema:
Demog :
GEOID [ INTEGER ] primary_key
INHABITANTS_K [ REAL ]
INCOME_K [ REAL ]
A_VAR1 [ REAL ]
A_VAR2 [ REAL ]
A_VAR3 [ REAL ]
A_VAR4 [ REAL ]
A_VAR5 [ REAL ]
A_VAR6 [ REAL ]
A_VAR7 [ REAL ]
A_VAR8 [ REAL ]
A_VAR9 [ REAL ]
A_VAR10 [ REAL ]
A_VAR11 [ REAL ]
A_VAR12 [ REAL ]
A_VAR13 [ REAL ]
A_VAR14 [ REAL ]
A_VAR15 [ REAL ]
A_VAR16 [ REAL ]
A_VAR17 [ REAL ]
A_VAR18 [ REAL ]
mailings3 :
REFID [ INTEGER ] primary_key
REF_DATE [ DATETIME ]
RESPONSE [ TEXT ]
Customers :
ID [ INTEGER ] primary_key
SEX [ TEXT ]
MARITAL_STATUS [ TEXT ]
GEOID [ INTEGER ]
EDUCATIONNUM [ INTEGER ]
OCCUPATION [ TEXT ]
age [ INTEGER ]
Mailings1_2 :
REFID [ INTEGER ] primary_key
REF_DATE [ DATETIME ]
RESPONSE [ TEXT ]
Sales :
EVENTID [ INTEGER ] primary_key
REFID [ INTEGER ]
EVENT_DATE [ DATETIME ]
AMOUNT [ REAL ]
Please write me a SQL statement that answers the following question: How many customers are from the place with the highest average income per month? [/INST] | SELECT COUNT(T1.ID) FROM Customers AS T1 INNER JOIN Demog AS T2 ON T1.GEOID = T2.GEOID ORDER BY T2.INCOME_K DESC LIMIT 1; |
[INST] Here is a database schema:
Demog :
GEOID [ INTEGER ] primary_key
INHABITANTS_K [ REAL ]
INCOME_K [ REAL ]
A_VAR1 [ REAL ]
A_VAR2 [ REAL ]
A_VAR3 [ REAL ]
A_VAR4 [ REAL ]
A_VAR5 [ REAL ]
A_VAR6 [ REAL ]
A_VAR7 [ REAL ]
A_VAR8 [ REAL ]
A_VAR9 [ REAL ]
A_VAR10 [ REAL ]
A_VAR11 [ REAL ]
A_VAR12 [ REAL ]
A_VAR13 [ REAL ]
A_VAR14 [ REAL ]
A_VAR15 [ REAL ]
A_VAR16 [ REAL ]
A_VAR17 [ REAL ]
A_VAR18 [ REAL ]
mailings3 :
REFID [ INTEGER ] primary_key
REF_DATE [ DATETIME ]
RESPONSE [ TEXT ]
Customers :
ID [ INTEGER ] primary_key
SEX [ TEXT ]
MARITAL_STATUS [ TEXT ]
GEOID [ INTEGER ]
EDUCATIONNUM [ INTEGER ]
OCCUPATION [ TEXT ]
age [ INTEGER ]
Mailings1_2 :
REFID [ INTEGER ] primary_key
REF_DATE [ DATETIME ]
RESPONSE [ TEXT ]
Sales :
EVENTID [ INTEGER ] primary_key
REFID [ INTEGER ]
EVENT_DATE [ DATETIME ]
AMOUNT [ REAL ]
Please write me a SQL statement that answers the following question: Among the customers from a place with more than 20,000 and less than 30,000 inhabitants, how many of them are Machine-op-inspcts? [/INST] | SELECT COUNT(T1.GEOID) FROM Customers AS T1 INNER JOIN Demog AS T2 ON T1.GEOID = T2.GEOID WHERE T1.OCCUPATION = 'Machine-op-inspct' AND T2.INHABITANTS_K > 20 AND T2.INHABITANTS_K < 30; |
[INST] Here is a database schema:
Demog :
GEOID [ INTEGER ] primary_key
INHABITANTS_K [ REAL ]
INCOME_K [ REAL ]
A_VAR1 [ REAL ]
A_VAR2 [ REAL ]
A_VAR3 [ REAL ]
A_VAR4 [ REAL ]
A_VAR5 [ REAL ]
A_VAR6 [ REAL ]
A_VAR7 [ REAL ]
A_VAR8 [ REAL ]
A_VAR9 [ REAL ]
A_VAR10 [ REAL ]
A_VAR11 [ REAL ]
A_VAR12 [ REAL ]
A_VAR13 [ REAL ]
A_VAR14 [ REAL ]
A_VAR15 [ REAL ]
A_VAR16 [ REAL ]
A_VAR17 [ REAL ]
A_VAR18 [ REAL ]
mailings3 :
REFID [ INTEGER ] primary_key
REF_DATE [ DATETIME ]
RESPONSE [ TEXT ]
Customers :
ID [ INTEGER ] primary_key
SEX [ TEXT ]
MARITAL_STATUS [ TEXT ]
GEOID [ INTEGER ]
EDUCATIONNUM [ INTEGER ]
OCCUPATION [ TEXT ]
age [ INTEGER ]
Mailings1_2 :
REFID [ INTEGER ] primary_key
REF_DATE [ DATETIME ]
RESPONSE [ TEXT ]
Sales :
EVENTID [ INTEGER ] primary_key
REFID [ INTEGER ]
EVENT_DATE [ DATETIME ]
AMOUNT [ REAL ]
Please write me a SQL statement that answers the following question: Which customer come from a place with more inhabitants, customer no.0 or customer no.1? [/INST] | SELECT T1.ID FROM Customers AS T1 INNER JOIN Demog AS T2 ON T1.GEOID = T2.GEOID WHERE T1.ID = 0 OR T1.ID = 1 ORDER BY INHABITANTS_K DESC LIMIT 1; |
[INST] Here is a database schema:
Demog :
GEOID [ INTEGER ] primary_key
INHABITANTS_K [ REAL ]
INCOME_K [ REAL ]
A_VAR1 [ REAL ]
A_VAR2 [ REAL ]
A_VAR3 [ REAL ]
A_VAR4 [ REAL ]
A_VAR5 [ REAL ]
A_VAR6 [ REAL ]
A_VAR7 [ REAL ]
A_VAR8 [ REAL ]
A_VAR9 [ REAL ]
A_VAR10 [ REAL ]
A_VAR11 [ REAL ]
A_VAR12 [ REAL ]
A_VAR13 [ REAL ]
A_VAR14 [ REAL ]
A_VAR15 [ REAL ]
A_VAR16 [ REAL ]
A_VAR17 [ REAL ]
A_VAR18 [ REAL ]
mailings3 :
REFID [ INTEGER ] primary_key
REF_DATE [ DATETIME ]
RESPONSE [ TEXT ]
Customers :
ID [ INTEGER ] primary_key
SEX [ TEXT ]
MARITAL_STATUS [ TEXT ]
GEOID [ INTEGER ]
EDUCATIONNUM [ INTEGER ]
OCCUPATION [ TEXT ]
age [ INTEGER ]
Mailings1_2 :
REFID [ INTEGER ] primary_key
REF_DATE [ DATETIME ]
RESPONSE [ TEXT ]
Sales :
EVENTID [ INTEGER ] primary_key
REFID [ INTEGER ]
EVENT_DATE [ DATETIME ]
AMOUNT [ REAL ]
Please write me a SQL statement that answers the following question: Of the first 60,000 customers who sent a true response to the incentive mailing sent by the marketing department, how many of them are from a place with more than 30,000 inhabitants? [/INST] | SELECT COUNT(T1.ID) FROM Customers AS T1 INNER JOIN Mailings1_2 AS T2 ON T1.ID = T2.REFID INNER JOIN Demog AS T3 ON T1.GEOID = T3.GEOID WHERE T3.INHABITANTS_K > 30 AND T2.RESPONSE = 'true'; |
[INST] Here is a database schema:
Demog :
GEOID [ INTEGER ] primary_key
INHABITANTS_K [ REAL ]
INCOME_K [ REAL ]
A_VAR1 [ REAL ]
A_VAR2 [ REAL ]
A_VAR3 [ REAL ]
A_VAR4 [ REAL ]
A_VAR5 [ REAL ]
A_VAR6 [ REAL ]
A_VAR7 [ REAL ]
A_VAR8 [ REAL ]
A_VAR9 [ REAL ]
A_VAR10 [ REAL ]
A_VAR11 [ REAL ]
A_VAR12 [ REAL ]
A_VAR13 [ REAL ]
A_VAR14 [ REAL ]
A_VAR15 [ REAL ]
A_VAR16 [ REAL ]
A_VAR17 [ REAL ]
A_VAR18 [ REAL ]
mailings3 :
REFID [ INTEGER ] primary_key
REF_DATE [ DATETIME ]
RESPONSE [ TEXT ]
Customers :
ID [ INTEGER ] primary_key
SEX [ TEXT ]
MARITAL_STATUS [ TEXT ]
GEOID [ INTEGER ]
EDUCATIONNUM [ INTEGER ]
OCCUPATION [ TEXT ]
age [ INTEGER ]
Mailings1_2 :
REFID [ INTEGER ] primary_key
REF_DATE [ DATETIME ]
RESPONSE [ TEXT ]
Sales :
EVENTID [ INTEGER ] primary_key
REFID [ INTEGER ]
EVENT_DATE [ DATETIME ]
AMOUNT [ REAL ]
Please write me a SQL statement that answers the following question: Of the first 60,000 customers who sent a true response to the incentive mailing sent by the marketing department, how many of them are divorced males? [/INST] | SELECT COUNT(T1.ID) FROM Customers AS T1 INNER JOIN Mailings1_2 AS T2 ON T1.ID = T2.REFID WHERE T1.SEX = 'Male' AND T1.MARITAL_STATUS = 'Divorced' AND T2.RESPONSE = 'true'; |
[INST] Here is a database schema:
Demog :
GEOID [ INTEGER ] primary_key
INHABITANTS_K [ REAL ]
INCOME_K [ REAL ]
A_VAR1 [ REAL ]
A_VAR2 [ REAL ]
A_VAR3 [ REAL ]
A_VAR4 [ REAL ]
A_VAR5 [ REAL ]
A_VAR6 [ REAL ]
A_VAR7 [ REAL ]
A_VAR8 [ REAL ]
A_VAR9 [ REAL ]
A_VAR10 [ REAL ]
A_VAR11 [ REAL ]
A_VAR12 [ REAL ]
A_VAR13 [ REAL ]
A_VAR14 [ REAL ]
A_VAR15 [ REAL ]
A_VAR16 [ REAL ]
A_VAR17 [ REAL ]
A_VAR18 [ REAL ]
mailings3 :
REFID [ INTEGER ] primary_key
REF_DATE [ DATETIME ]
RESPONSE [ TEXT ]
Customers :
ID [ INTEGER ] primary_key
SEX [ TEXT ]
MARITAL_STATUS [ TEXT ]
GEOID [ INTEGER ]
EDUCATIONNUM [ INTEGER ]
OCCUPATION [ TEXT ]
age [ INTEGER ]
Mailings1_2 :
REFID [ INTEGER ] primary_key
REF_DATE [ DATETIME ]
RESPONSE [ TEXT ]
Sales :
EVENTID [ INTEGER ] primary_key
REFID [ INTEGER ]
EVENT_DATE [ DATETIME ]
AMOUNT [ REAL ]
Please write me a SQL statement that answers the following question: How many of the first 60,000 customers from the place with the highest average income per month have sent a true response to the incentive mailing sent by the marketing department? [/INST] | SELECT COUNT(T1.ID) FROM Customers AS T1 INNER JOIN Mailings1_2 AS T2 ON T1.ID = T2.REFID INNER JOIN Demog AS T3 ON T1.GEOID = T3.GEOID WHERE T2.RESPONSE = 'true' ORDER BY T3.INCOME_K DESC LIMIT 1; |
[INST] Here is a database schema:
Demog :
GEOID [ INTEGER ] primary_key
INHABITANTS_K [ REAL ]
INCOME_K [ REAL ]
A_VAR1 [ REAL ]
A_VAR2 [ REAL ]
A_VAR3 [ REAL ]
A_VAR4 [ REAL ]
A_VAR5 [ REAL ]
A_VAR6 [ REAL ]
A_VAR7 [ REAL ]
A_VAR8 [ REAL ]
A_VAR9 [ REAL ]
A_VAR10 [ REAL ]
A_VAR11 [ REAL ]
A_VAR12 [ REAL ]
A_VAR13 [ REAL ]
A_VAR14 [ REAL ]
A_VAR15 [ REAL ]
A_VAR16 [ REAL ]
A_VAR17 [ REAL ]
A_VAR18 [ REAL ]
mailings3 :
REFID [ INTEGER ] primary_key
REF_DATE [ DATETIME ]
RESPONSE [ TEXT ]
Customers :
ID [ INTEGER ] primary_key
SEX [ TEXT ]
MARITAL_STATUS [ TEXT ]
GEOID [ INTEGER ]
EDUCATIONNUM [ INTEGER ]
OCCUPATION [ TEXT ]
age [ INTEGER ]
Mailings1_2 :
REFID [ INTEGER ] primary_key
REF_DATE [ DATETIME ]
RESPONSE [ TEXT ]
Sales :
EVENTID [ INTEGER ] primary_key
REFID [ INTEGER ]
EVENT_DATE [ DATETIME ]
AMOUNT [ REAL ]
Please write me a SQL statement that answers the following question: What is the number of inhabitants of the place the most customers are from? [/INST] | SELECT DISTINCT T2.INHABITANTS_K FROM Customers AS T1 INNER JOIN Demog AS T2 ON T1.GEOID = T2.GEOID ORDER BY T2.INHABITANTS_K DESC; |
[INST] Here is a database schema:
Demog :
GEOID [ INTEGER ] primary_key
INHABITANTS_K [ REAL ]
INCOME_K [ REAL ]
A_VAR1 [ REAL ]
A_VAR2 [ REAL ]
A_VAR3 [ REAL ]
A_VAR4 [ REAL ]
A_VAR5 [ REAL ]
A_VAR6 [ REAL ]
A_VAR7 [ REAL ]
A_VAR8 [ REAL ]
A_VAR9 [ REAL ]
A_VAR10 [ REAL ]
A_VAR11 [ REAL ]
A_VAR12 [ REAL ]
A_VAR13 [ REAL ]
A_VAR14 [ REAL ]
A_VAR15 [ REAL ]
A_VAR16 [ REAL ]
A_VAR17 [ REAL ]
A_VAR18 [ REAL ]
mailings3 :
REFID [ INTEGER ] primary_key
REF_DATE [ DATETIME ]
RESPONSE [ TEXT ]
Customers :
ID [ INTEGER ] primary_key
SEX [ TEXT ]
MARITAL_STATUS [ TEXT ]
GEOID [ INTEGER ]
EDUCATIONNUM [ INTEGER ]
OCCUPATION [ TEXT ]
age [ INTEGER ]
Mailings1_2 :
REFID [ INTEGER ] primary_key
REF_DATE [ DATETIME ]
RESPONSE [ TEXT ]
Sales :
EVENTID [ INTEGER ] primary_key
REFID [ INTEGER ]
EVENT_DATE [ DATETIME ]
AMOUNT [ REAL ]
Please write me a SQL statement that answers the following question: Among the customers who come from the place with 25746 inhabitants, how many of them are male? [/INST] | SELECT COUNT(T1.ID) FROM Customers AS T1 INNER JOIN Demog AS T2 ON T1.GEOID = T2.GEOID WHERE T2.INHABITANTS_K = 25.746 AND T1.SEX = 'Male'; |
[INST] Here is a database schema:
Demog :
GEOID [ INTEGER ] primary_key
INHABITANTS_K [ REAL ]
INCOME_K [ REAL ]
A_VAR1 [ REAL ]
A_VAR2 [ REAL ]
A_VAR3 [ REAL ]
A_VAR4 [ REAL ]
A_VAR5 [ REAL ]
A_VAR6 [ REAL ]
A_VAR7 [ REAL ]
A_VAR8 [ REAL ]
A_VAR9 [ REAL ]
A_VAR10 [ REAL ]
A_VAR11 [ REAL ]
A_VAR12 [ REAL ]
A_VAR13 [ REAL ]
A_VAR14 [ REAL ]
A_VAR15 [ REAL ]
A_VAR16 [ REAL ]
A_VAR17 [ REAL ]
A_VAR18 [ REAL ]
mailings3 :
REFID [ INTEGER ] primary_key
REF_DATE [ DATETIME ]
RESPONSE [ TEXT ]
Customers :
ID [ INTEGER ] primary_key
SEX [ TEXT ]
MARITAL_STATUS [ TEXT ]
GEOID [ INTEGER ]
EDUCATIONNUM [ INTEGER ]
OCCUPATION [ TEXT ]
age [ INTEGER ]
Mailings1_2 :
REFID [ INTEGER ] primary_key
REF_DATE [ DATETIME ]
RESPONSE [ TEXT ]
Sales :
EVENTID [ INTEGER ] primary_key
REFID [ INTEGER ]
EVENT_DATE [ DATETIME ]
AMOUNT [ REAL ]
Please write me a SQL statement that answers the following question: Of the first 60,000 customers who sent a true response to the incentive mailing sent by the marketing department, how many of them are teenagers? [/INST] | SELECT COUNT(T1.ID) FROM Customers AS T1 INNER JOIN Mailings1_2 AS T2 ON T1.ID = T2.REFID WHERE T1.age >= 13 AND T1.age <= 19 AND T2.RESPONSE = 'true'; |
[INST] Here is a database schema:
Demog :
GEOID [ INTEGER ] primary_key
INHABITANTS_K [ REAL ]
INCOME_K [ REAL ]
A_VAR1 [ REAL ]
A_VAR2 [ REAL ]
A_VAR3 [ REAL ]
A_VAR4 [ REAL ]
A_VAR5 [ REAL ]
A_VAR6 [ REAL ]
A_VAR7 [ REAL ]
A_VAR8 [ REAL ]
A_VAR9 [ REAL ]
A_VAR10 [ REAL ]
A_VAR11 [ REAL ]
A_VAR12 [ REAL ]
A_VAR13 [ REAL ]
A_VAR14 [ REAL ]
A_VAR15 [ REAL ]
A_VAR16 [ REAL ]
A_VAR17 [ REAL ]
A_VAR18 [ REAL ]
mailings3 :
REFID [ INTEGER ] primary_key
REF_DATE [ DATETIME ]
RESPONSE [ TEXT ]
Customers :
ID [ INTEGER ] primary_key
SEX [ TEXT ]
MARITAL_STATUS [ TEXT ]
GEOID [ INTEGER ]
EDUCATIONNUM [ INTEGER ]
OCCUPATION [ TEXT ]
age [ INTEGER ]
Mailings1_2 :
REFID [ INTEGER ] primary_key
REF_DATE [ DATETIME ]
RESPONSE [ TEXT ]
Sales :
EVENTID [ INTEGER ] primary_key
REFID [ INTEGER ]
EVENT_DATE [ DATETIME ]
AMOUNT [ REAL ]
Please write me a SQL statement that answers the following question: What is the average education level of customers from the place with the highest average income per month? [/INST] | SELECT AVG(T1.EDUCATIONNUM) FROM Customers AS T1 INNER JOIN Demog AS T2 ON T1.GEOID = T2.GEOID ORDER BY T2.INCOME_K DESC LIMIT 1; |
[INST] Here is a database schema:
Demog :
GEOID [ INTEGER ] primary_key
INHABITANTS_K [ REAL ]
INCOME_K [ REAL ]
A_VAR1 [ REAL ]
A_VAR2 [ REAL ]
A_VAR3 [ REAL ]
A_VAR4 [ REAL ]
A_VAR5 [ REAL ]
A_VAR6 [ REAL ]
A_VAR7 [ REAL ]
A_VAR8 [ REAL ]
A_VAR9 [ REAL ]
A_VAR10 [ REAL ]
A_VAR11 [ REAL ]
A_VAR12 [ REAL ]
A_VAR13 [ REAL ]
A_VAR14 [ REAL ]
A_VAR15 [ REAL ]
A_VAR16 [ REAL ]
A_VAR17 [ REAL ]
A_VAR18 [ REAL ]
mailings3 :
REFID [ INTEGER ] primary_key
REF_DATE [ DATETIME ]
RESPONSE [ TEXT ]
Customers :
ID [ INTEGER ] primary_key
SEX [ TEXT ]
MARITAL_STATUS [ TEXT ]
GEOID [ INTEGER ]
EDUCATIONNUM [ INTEGER ]
OCCUPATION [ TEXT ]
age [ INTEGER ]
Mailings1_2 :
REFID [ INTEGER ] primary_key
REF_DATE [ DATETIME ]
RESPONSE [ TEXT ]
Sales :
EVENTID [ INTEGER ] primary_key
REFID [ INTEGER ]
EVENT_DATE [ DATETIME ]
AMOUNT [ REAL ]
Please write me a SQL statement that answers the following question: What is the average age of first 60,000 customers who sent a true response to the incentive mailing sent by the marketing department? [/INST] | SELECT AVG(T1.age) FROM Customers AS T1 INNER JOIN Mailings1_2 AS T2 ON T1.ID = T2.REFID WHERE T2.RESPONSE = 'true'; |
[INST] Here is a database schema:
Demog :
GEOID [ INTEGER ] primary_key
INHABITANTS_K [ REAL ]
INCOME_K [ REAL ]
A_VAR1 [ REAL ]
A_VAR2 [ REAL ]
A_VAR3 [ REAL ]
A_VAR4 [ REAL ]
A_VAR5 [ REAL ]
A_VAR6 [ REAL ]
A_VAR7 [ REAL ]
A_VAR8 [ REAL ]
A_VAR9 [ REAL ]
A_VAR10 [ REAL ]
A_VAR11 [ REAL ]
A_VAR12 [ REAL ]
A_VAR13 [ REAL ]
A_VAR14 [ REAL ]
A_VAR15 [ REAL ]
A_VAR16 [ REAL ]
A_VAR17 [ REAL ]
A_VAR18 [ REAL ]
mailings3 :
REFID [ INTEGER ] primary_key
REF_DATE [ DATETIME ]
RESPONSE [ TEXT ]
Customers :
ID [ INTEGER ] primary_key
SEX [ TEXT ]
MARITAL_STATUS [ TEXT ]
GEOID [ INTEGER ]
EDUCATIONNUM [ INTEGER ]
OCCUPATION [ TEXT ]
age [ INTEGER ]
Mailings1_2 :
REFID [ INTEGER ] primary_key
REF_DATE [ DATETIME ]
RESPONSE [ TEXT ]
Sales :
EVENTID [ INTEGER ] primary_key
REFID [ INTEGER ]
EVENT_DATE [ DATETIME ]
AMOUNT [ REAL ]
Please write me a SQL statement that answers the following question: How many of the customers are male? [/INST] | SELECT COUNT(ID) FROM Customers WHERE SEX = 'Male'; |
[INST] Here is a database schema:
Demog :
GEOID [ INTEGER ] primary_key
INHABITANTS_K [ REAL ]
INCOME_K [ REAL ]
A_VAR1 [ REAL ]
A_VAR2 [ REAL ]
A_VAR3 [ REAL ]
A_VAR4 [ REAL ]
A_VAR5 [ REAL ]
A_VAR6 [ REAL ]
A_VAR7 [ REAL ]
A_VAR8 [ REAL ]
A_VAR9 [ REAL ]
A_VAR10 [ REAL ]
A_VAR11 [ REAL ]
A_VAR12 [ REAL ]
A_VAR13 [ REAL ]
A_VAR14 [ REAL ]
A_VAR15 [ REAL ]
A_VAR16 [ REAL ]
A_VAR17 [ REAL ]
A_VAR18 [ REAL ]
mailings3 :
REFID [ INTEGER ] primary_key
REF_DATE [ DATETIME ]
RESPONSE [ TEXT ]
Customers :
ID [ INTEGER ] primary_key
SEX [ TEXT ]
MARITAL_STATUS [ TEXT ]
GEOID [ INTEGER ]
EDUCATIONNUM [ INTEGER ]
OCCUPATION [ TEXT ]
age [ INTEGER ]
Mailings1_2 :
REFID [ INTEGER ] primary_key
REF_DATE [ DATETIME ]
RESPONSE [ TEXT ]
Sales :
EVENTID [ INTEGER ] primary_key
REFID [ INTEGER ]
EVENT_DATE [ DATETIME ]
AMOUNT [ REAL ]
Please write me a SQL statement that answers the following question: List down the customer's geographic identifier who are handlers or cleaners. [/INST] | SELECT GEOID FROM Customers WHERE OCCUPATION = 'Handlers-cleaners'; |
[INST] Here is a database schema:
Demog :
GEOID [ INTEGER ] primary_key
INHABITANTS_K [ REAL ]
INCOME_K [ REAL ]
A_VAR1 [ REAL ]
A_VAR2 [ REAL ]
A_VAR3 [ REAL ]
A_VAR4 [ REAL ]
A_VAR5 [ REAL ]
A_VAR6 [ REAL ]
A_VAR7 [ REAL ]
A_VAR8 [ REAL ]
A_VAR9 [ REAL ]
A_VAR10 [ REAL ]
A_VAR11 [ REAL ]
A_VAR12 [ REAL ]
A_VAR13 [ REAL ]
A_VAR14 [ REAL ]
A_VAR15 [ REAL ]
A_VAR16 [ REAL ]
A_VAR17 [ REAL ]
A_VAR18 [ REAL ]
mailings3 :
REFID [ INTEGER ] primary_key
REF_DATE [ DATETIME ]
RESPONSE [ TEXT ]
Customers :
ID [ INTEGER ] primary_key
SEX [ TEXT ]
MARITAL_STATUS [ TEXT ]
GEOID [ INTEGER ]
EDUCATIONNUM [ INTEGER ]
OCCUPATION [ TEXT ]
age [ INTEGER ]
Mailings1_2 :
REFID [ INTEGER ] primary_key
REF_DATE [ DATETIME ]
RESPONSE [ TEXT ]
Sales :
EVENTID [ INTEGER ] primary_key
REFID [ INTEGER ]
EVENT_DATE [ DATETIME ]
AMOUNT [ REAL ]
Please write me a SQL statement that answers the following question: What is the total number of customers with an age below 30? [/INST] | SELECT COUNT(ID) FROM Customers WHERE age < 30; |
[INST] Here is a database schema:
Demog :
GEOID [ INTEGER ] primary_key
INHABITANTS_K [ REAL ]
INCOME_K [ REAL ]
A_VAR1 [ REAL ]
A_VAR2 [ REAL ]
A_VAR3 [ REAL ]
A_VAR4 [ REAL ]
A_VAR5 [ REAL ]
A_VAR6 [ REAL ]
A_VAR7 [ REAL ]
A_VAR8 [ REAL ]
A_VAR9 [ REAL ]
A_VAR10 [ REAL ]
A_VAR11 [ REAL ]
A_VAR12 [ REAL ]
A_VAR13 [ REAL ]
A_VAR14 [ REAL ]
A_VAR15 [ REAL ]
A_VAR16 [ REAL ]
A_VAR17 [ REAL ]
A_VAR18 [ REAL ]
mailings3 :
REFID [ INTEGER ] primary_key
REF_DATE [ DATETIME ]
RESPONSE [ TEXT ]
Customers :
ID [ INTEGER ] primary_key
SEX [ TEXT ]
MARITAL_STATUS [ TEXT ]
GEOID [ INTEGER ]
EDUCATIONNUM [ INTEGER ]
OCCUPATION [ TEXT ]
age [ INTEGER ]
Mailings1_2 :
REFID [ INTEGER ] primary_key
REF_DATE [ DATETIME ]
RESPONSE [ TEXT ]
Sales :
EVENTID [ INTEGER ] primary_key
REFID [ INTEGER ]
EVENT_DATE [ DATETIME ]
AMOUNT [ REAL ]
Please write me a SQL statement that answers the following question: List down the geographic identifier with an income that ranges from 2100 to 2500. [/INST] | SELECT GEOID FROM Demog WHERE INCOME_K >= 2100 AND INCOME_K <= 2500; |
[INST] Here is a database schema:
Demog :
GEOID [ INTEGER ] primary_key
INHABITANTS_K [ REAL ]
INCOME_K [ REAL ]
A_VAR1 [ REAL ]
A_VAR2 [ REAL ]
A_VAR3 [ REAL ]
A_VAR4 [ REAL ]
A_VAR5 [ REAL ]
A_VAR6 [ REAL ]
A_VAR7 [ REAL ]
A_VAR8 [ REAL ]
A_VAR9 [ REAL ]
A_VAR10 [ REAL ]
A_VAR11 [ REAL ]
A_VAR12 [ REAL ]
A_VAR13 [ REAL ]
A_VAR14 [ REAL ]
A_VAR15 [ REAL ]
A_VAR16 [ REAL ]
A_VAR17 [ REAL ]
A_VAR18 [ REAL ]
mailings3 :
REFID [ INTEGER ] primary_key
REF_DATE [ DATETIME ]
RESPONSE [ TEXT ]
Customers :
ID [ INTEGER ] primary_key
SEX [ TEXT ]
MARITAL_STATUS [ TEXT ]
GEOID [ INTEGER ]
EDUCATIONNUM [ INTEGER ]
OCCUPATION [ TEXT ]
age [ INTEGER ]
Mailings1_2 :
REFID [ INTEGER ] primary_key
REF_DATE [ DATETIME ]
RESPONSE [ TEXT ]
Sales :
EVENTID [ INTEGER ] primary_key
REFID [ INTEGER ]
EVENT_DATE [ DATETIME ]
AMOUNT [ REAL ]
Please write me a SQL statement that answers the following question: In geographic identifier from 20 to 50, how many of them has a number of inhabitants below 20? [/INST] | SELECT COUNT(GEOID) FROM Demog WHERE INHABITANTS_K < 20 AND GEOID >= 20 AND GEOID <= 50; |
[INST] Here is a database schema:
Demog :
GEOID [ INTEGER ] primary_key
INHABITANTS_K [ REAL ]
INCOME_K [ REAL ]
A_VAR1 [ REAL ]
A_VAR2 [ REAL ]
A_VAR3 [ REAL ]
A_VAR4 [ REAL ]
A_VAR5 [ REAL ]
A_VAR6 [ REAL ]
A_VAR7 [ REAL ]
A_VAR8 [ REAL ]
A_VAR9 [ REAL ]
A_VAR10 [ REAL ]
A_VAR11 [ REAL ]
A_VAR12 [ REAL ]
A_VAR13 [ REAL ]
A_VAR14 [ REAL ]
A_VAR15 [ REAL ]
A_VAR16 [ REAL ]
A_VAR17 [ REAL ]
A_VAR18 [ REAL ]
mailings3 :
REFID [ INTEGER ] primary_key
REF_DATE [ DATETIME ]
RESPONSE [ TEXT ]
Customers :
ID [ INTEGER ] primary_key
SEX [ TEXT ]
MARITAL_STATUS [ TEXT ]
GEOID [ INTEGER ]
EDUCATIONNUM [ INTEGER ]
OCCUPATION [ TEXT ]
age [ INTEGER ]
Mailings1_2 :
REFID [ INTEGER ] primary_key
REF_DATE [ DATETIME ]
RESPONSE [ TEXT ]
Sales :
EVENTID [ INTEGER ] primary_key
REFID [ INTEGER ]
EVENT_DATE [ DATETIME ]
AMOUNT [ REAL ]
Please write me a SQL statement that answers the following question: What is the number of inhabitants and income of geographic identifier 239? [/INST] | SELECT INHABITANTS_K FROM Demog WHERE GEOID = 239; |
[INST] Here is a database schema:
Demog :
GEOID [ INTEGER ] primary_key
INHABITANTS_K [ REAL ]
INCOME_K [ REAL ]
A_VAR1 [ REAL ]
A_VAR2 [ REAL ]
A_VAR3 [ REAL ]
A_VAR4 [ REAL ]
A_VAR5 [ REAL ]
A_VAR6 [ REAL ]
A_VAR7 [ REAL ]
A_VAR8 [ REAL ]
A_VAR9 [ REAL ]
A_VAR10 [ REAL ]
A_VAR11 [ REAL ]
A_VAR12 [ REAL ]
A_VAR13 [ REAL ]
A_VAR14 [ REAL ]
A_VAR15 [ REAL ]
A_VAR16 [ REAL ]
A_VAR17 [ REAL ]
A_VAR18 [ REAL ]
mailings3 :
REFID [ INTEGER ] primary_key
REF_DATE [ DATETIME ]
RESPONSE [ TEXT ]
Customers :
ID [ INTEGER ] primary_key
SEX [ TEXT ]
MARITAL_STATUS [ TEXT ]
GEOID [ INTEGER ]
EDUCATIONNUM [ INTEGER ]
OCCUPATION [ TEXT ]
age [ INTEGER ]
Mailings1_2 :
REFID [ INTEGER ] primary_key
REF_DATE [ DATETIME ]
RESPONSE [ TEXT ]
Sales :
EVENTID [ INTEGER ] primary_key
REFID [ INTEGER ]
EVENT_DATE [ DATETIME ]
AMOUNT [ REAL ]
Please write me a SQL statement that answers the following question: Give the level of education and occupation of customers ages from 20 to 35 with an income K of 2000 and below. [/INST] | SELECT T1.EDUCATIONNUM, T1.OCCUPATION FROM Customers AS T1 INNER JOIN Demog AS T2 ON T1.GEOID = T2.GEOID WHERE T2.INCOME_K < 2000 AND T1.age >= 20 AND T1.age <= 35; |
[INST] Here is a database schema:
Demog :
GEOID [ INTEGER ] primary_key
INHABITANTS_K [ REAL ]
INCOME_K [ REAL ]
A_VAR1 [ REAL ]
A_VAR2 [ REAL ]
A_VAR3 [ REAL ]
A_VAR4 [ REAL ]
A_VAR5 [ REAL ]
A_VAR6 [ REAL ]
A_VAR7 [ REAL ]
A_VAR8 [ REAL ]
A_VAR9 [ REAL ]
A_VAR10 [ REAL ]
A_VAR11 [ REAL ]
A_VAR12 [ REAL ]
A_VAR13 [ REAL ]
A_VAR14 [ REAL ]
A_VAR15 [ REAL ]
A_VAR16 [ REAL ]
A_VAR17 [ REAL ]
A_VAR18 [ REAL ]
mailings3 :
REFID [ INTEGER ] primary_key
REF_DATE [ DATETIME ]
RESPONSE [ TEXT ]
Customers :
ID [ INTEGER ] primary_key
SEX [ TEXT ]
MARITAL_STATUS [ TEXT ]
GEOID [ INTEGER ]
EDUCATIONNUM [ INTEGER ]
OCCUPATION [ TEXT ]
age [ INTEGER ]
Mailings1_2 :
REFID [ INTEGER ] primary_key
REF_DATE [ DATETIME ]
RESPONSE [ TEXT ]
Sales :
EVENTID [ INTEGER ] primary_key
REFID [ INTEGER ]
EVENT_DATE [ DATETIME ]
AMOUNT [ REAL ]
Please write me a SQL statement that answers the following question: List down the number of inhabitants of customers with a divorced marital status and older than 50 years old. [/INST] | SELECT COUNT(T1.ID) FROM Customers AS T1 INNER JOIN Demog AS T2 ON T1.GEOID = T2.GEOID WHERE T1.MARITAL_STATUS = 'Divorced' AND T1.age < 50; |
[INST] Here is a database schema:
Demog :
GEOID [ INTEGER ] primary_key
INHABITANTS_K [ REAL ]
INCOME_K [ REAL ]
A_VAR1 [ REAL ]
A_VAR2 [ REAL ]
A_VAR3 [ REAL ]
A_VAR4 [ REAL ]
A_VAR5 [ REAL ]
A_VAR6 [ REAL ]
A_VAR7 [ REAL ]
A_VAR8 [ REAL ]
A_VAR9 [ REAL ]
A_VAR10 [ REAL ]
A_VAR11 [ REAL ]
A_VAR12 [ REAL ]
A_VAR13 [ REAL ]
A_VAR14 [ REAL ]
A_VAR15 [ REAL ]
A_VAR16 [ REAL ]
A_VAR17 [ REAL ]
A_VAR18 [ REAL ]
mailings3 :
REFID [ INTEGER ] primary_key
REF_DATE [ DATETIME ]
RESPONSE [ TEXT ]
Customers :
ID [ INTEGER ] primary_key
SEX [ TEXT ]
MARITAL_STATUS [ TEXT ]
GEOID [ INTEGER ]
EDUCATIONNUM [ INTEGER ]
OCCUPATION [ TEXT ]
age [ INTEGER ]
Mailings1_2 :
REFID [ INTEGER ] primary_key
REF_DATE [ DATETIME ]
RESPONSE [ TEXT ]
Sales :
EVENTID [ INTEGER ] primary_key
REFID [ INTEGER ]
EVENT_DATE [ DATETIME ]
AMOUNT [ REAL ]
Please write me a SQL statement that answers the following question: What is the geographic identifier and income of the oldest customer? [/INST] | SELECT T1.GEOID, T2.INCOME_K FROM Customers AS T1 INNER JOIN Demog AS T2 ON T1.GEOID = T2.GEOID ORDER BY T1.age DESC LIMIT 1; |
[INST] Here is a database schema:
Demog :
GEOID [ INTEGER ] primary_key
INHABITANTS_K [ REAL ]
INCOME_K [ REAL ]
A_VAR1 [ REAL ]
A_VAR2 [ REAL ]
A_VAR3 [ REAL ]
A_VAR4 [ REAL ]
A_VAR5 [ REAL ]
A_VAR6 [ REAL ]
A_VAR7 [ REAL ]
A_VAR8 [ REAL ]
A_VAR9 [ REAL ]
A_VAR10 [ REAL ]
A_VAR11 [ REAL ]
A_VAR12 [ REAL ]
A_VAR13 [ REAL ]
A_VAR14 [ REAL ]
A_VAR15 [ REAL ]
A_VAR16 [ REAL ]
A_VAR17 [ REAL ]
A_VAR18 [ REAL ]
mailings3 :
REFID [ INTEGER ] primary_key
REF_DATE [ DATETIME ]
RESPONSE [ TEXT ]
Customers :
ID [ INTEGER ] primary_key
SEX [ TEXT ]
MARITAL_STATUS [ TEXT ]
GEOID [ INTEGER ]
EDUCATIONNUM [ INTEGER ]
OCCUPATION [ TEXT ]
age [ INTEGER ]
Mailings1_2 :
REFID [ INTEGER ] primary_key
REF_DATE [ DATETIME ]
RESPONSE [ TEXT ]
Sales :
EVENTID [ INTEGER ] primary_key
REFID [ INTEGER ]
EVENT_DATE [ DATETIME ]
AMOUNT [ REAL ]
Please write me a SQL statement that answers the following question: Among the male customers with an level of education of 4 and below, list their income K. [/INST] | SELECT INCOME_K FROM Demog WHERE GEOID IN ( SELECT GEOID FROM Customers WHERE EDUCATIONNUM < 4 AND SEX = 'Male' ); |
[INST] Here is a database schema:
Demog :
GEOID [ INTEGER ] primary_key
INHABITANTS_K [ REAL ]
INCOME_K [ REAL ]
A_VAR1 [ REAL ]
A_VAR2 [ REAL ]
A_VAR3 [ REAL ]
A_VAR4 [ REAL ]
A_VAR5 [ REAL ]
A_VAR6 [ REAL ]
A_VAR7 [ REAL ]
A_VAR8 [ REAL ]
A_VAR9 [ REAL ]
A_VAR10 [ REAL ]
A_VAR11 [ REAL ]
A_VAR12 [ REAL ]
A_VAR13 [ REAL ]
A_VAR14 [ REAL ]
A_VAR15 [ REAL ]
A_VAR16 [ REAL ]
A_VAR17 [ REAL ]
A_VAR18 [ REAL ]
mailings3 :
REFID [ INTEGER ] primary_key
REF_DATE [ DATETIME ]
RESPONSE [ TEXT ]
Customers :
ID [ INTEGER ] primary_key
SEX [ TEXT ]
MARITAL_STATUS [ TEXT ]
GEOID [ INTEGER ]
EDUCATIONNUM [ INTEGER ]
OCCUPATION [ TEXT ]
age [ INTEGER ]
Mailings1_2 :
REFID [ INTEGER ] primary_key
REF_DATE [ DATETIME ]
RESPONSE [ TEXT ]
Sales :
EVENTID [ INTEGER ] primary_key
REFID [ INTEGER ]
EVENT_DATE [ DATETIME ]
AMOUNT [ REAL ]
Please write me a SQL statement that answers the following question: List the occupation and income of male customers with an level of education of 4 to 6. [/INST] | SELECT T1.OCCUPATION, T2.INCOME_K FROM Customers AS T1 INNER JOIN Demog AS T2 ON T1.GEOID = T2.GEOID WHERE T1.EDUCATIONNUM >= 4 AND T1.EDUCATIONNUM <= 6 AND T1.SEX = 'Male'; |
[INST] Here is a database schema:
Demog :
GEOID [ INTEGER ] primary_key
INHABITANTS_K [ REAL ]
INCOME_K [ REAL ]
A_VAR1 [ REAL ]
A_VAR2 [ REAL ]
A_VAR3 [ REAL ]
A_VAR4 [ REAL ]
A_VAR5 [ REAL ]
A_VAR6 [ REAL ]
A_VAR7 [ REAL ]
A_VAR8 [ REAL ]
A_VAR9 [ REAL ]
A_VAR10 [ REAL ]
A_VAR11 [ REAL ]
A_VAR12 [ REAL ]
A_VAR13 [ REAL ]
A_VAR14 [ REAL ]
A_VAR15 [ REAL ]
A_VAR16 [ REAL ]
A_VAR17 [ REAL ]
A_VAR18 [ REAL ]
mailings3 :
REFID [ INTEGER ] primary_key
REF_DATE [ DATETIME ]
RESPONSE [ TEXT ]
Customers :
ID [ INTEGER ] primary_key
SEX [ TEXT ]
MARITAL_STATUS [ TEXT ]
GEOID [ INTEGER ]
EDUCATIONNUM [ INTEGER ]
OCCUPATION [ TEXT ]
age [ INTEGER ]
Mailings1_2 :
REFID [ INTEGER ] primary_key
REF_DATE [ DATETIME ]
RESPONSE [ TEXT ]
Sales :
EVENTID [ INTEGER ] primary_key
REFID [ INTEGER ]
EVENT_DATE [ DATETIME ]
AMOUNT [ REAL ]
Please write me a SQL statement that answers the following question: In widowed male customers ages from 40 to 60, how many of them has an income ranges from 3000 and above? [/INST] | SELECT COUNT(T1.ID) FROM Customers AS T1 INNER JOIN Demog AS T2 ON T1.GEOID = T2.GEOID WHERE T1.age >= 40 AND T1.age <= 60 AND T1.MARITAL_STATUS = 'Widowed' AND T1.SEX = 'Male' AND T2.INCOME_K >= 2000 AND T2.INCOME_K <= 3000; |
[INST] Here is a database schema:
Demog :
GEOID [ INTEGER ] primary_key
INHABITANTS_K [ REAL ]
INCOME_K [ REAL ]
A_VAR1 [ REAL ]
A_VAR2 [ REAL ]
A_VAR3 [ REAL ]
A_VAR4 [ REAL ]
A_VAR5 [ REAL ]
A_VAR6 [ REAL ]
A_VAR7 [ REAL ]
A_VAR8 [ REAL ]
A_VAR9 [ REAL ]
A_VAR10 [ REAL ]
A_VAR11 [ REAL ]
A_VAR12 [ REAL ]
A_VAR13 [ REAL ]
A_VAR14 [ REAL ]
A_VAR15 [ REAL ]
A_VAR16 [ REAL ]
A_VAR17 [ REAL ]
A_VAR18 [ REAL ]
mailings3 :
REFID [ INTEGER ] primary_key
REF_DATE [ DATETIME ]
RESPONSE [ TEXT ]
Customers :
ID [ INTEGER ] primary_key
SEX [ TEXT ]
MARITAL_STATUS [ TEXT ]
GEOID [ INTEGER ]
EDUCATIONNUM [ INTEGER ]
OCCUPATION [ TEXT ]
age [ INTEGER ]
Mailings1_2 :
REFID [ INTEGER ] primary_key
REF_DATE [ DATETIME ]
RESPONSE [ TEXT ]
Sales :
EVENTID [ INTEGER ] primary_key
REFID [ INTEGER ]
EVENT_DATE [ DATETIME ]
AMOUNT [ REAL ]
Please write me a SQL statement that answers the following question: What is the occupation of customers within number of inhabitants ranges of 30 to 40? [/INST] | SELECT DISTINCT T1.OCCUPATION FROM Customers AS T1 INNER JOIN Demog AS T2 ON T1.GEOID = T2.GEOID WHERE T2.INHABITANTS_K >= 30 AND T2.INHABITANTS_K <= 40; |
[INST] Here is a database schema:
Demog :
GEOID [ INTEGER ] primary_key
INHABITANTS_K [ REAL ]
INCOME_K [ REAL ]
A_VAR1 [ REAL ]
A_VAR2 [ REAL ]
A_VAR3 [ REAL ]
A_VAR4 [ REAL ]
A_VAR5 [ REAL ]
A_VAR6 [ REAL ]
A_VAR7 [ REAL ]
A_VAR8 [ REAL ]
A_VAR9 [ REAL ]
A_VAR10 [ REAL ]
A_VAR11 [ REAL ]
A_VAR12 [ REAL ]
A_VAR13 [ REAL ]
A_VAR14 [ REAL ]
A_VAR15 [ REAL ]
A_VAR16 [ REAL ]
A_VAR17 [ REAL ]
A_VAR18 [ REAL ]
mailings3 :
REFID [ INTEGER ] primary_key
REF_DATE [ DATETIME ]
RESPONSE [ TEXT ]
Customers :
ID [ INTEGER ] primary_key
SEX [ TEXT ]
MARITAL_STATUS [ TEXT ]
GEOID [ INTEGER ]
EDUCATIONNUM [ INTEGER ]
OCCUPATION [ TEXT ]
age [ INTEGER ]
Mailings1_2 :
REFID [ INTEGER ] primary_key
REF_DATE [ DATETIME ]
RESPONSE [ TEXT ]
Sales :
EVENTID [ INTEGER ] primary_key
REFID [ INTEGER ]
EVENT_DATE [ DATETIME ]
AMOUNT [ REAL ]
Please write me a SQL statement that answers the following question: Among the widowed female customers, give the income of those who has an level of education of 5 and below. [/INST] | SELECT INCOME_K FROM Demog WHERE GEOID IN ( SELECT GEOID FROM Customers WHERE EDUCATIONNUM < 5 AND SEX = 'Female' AND MARITAL_STATUS = 'Widowed' ); |
[INST] Here is a database schema:
Demog :
GEOID [ INTEGER ] primary_key
INHABITANTS_K [ REAL ]
INCOME_K [ REAL ]
A_VAR1 [ REAL ]
A_VAR2 [ REAL ]
A_VAR3 [ REAL ]
A_VAR4 [ REAL ]
A_VAR5 [ REAL ]
A_VAR6 [ REAL ]
A_VAR7 [ REAL ]
A_VAR8 [ REAL ]
A_VAR9 [ REAL ]
A_VAR10 [ REAL ]
A_VAR11 [ REAL ]
A_VAR12 [ REAL ]
A_VAR13 [ REAL ]
A_VAR14 [ REAL ]
A_VAR15 [ REAL ]
A_VAR16 [ REAL ]
A_VAR17 [ REAL ]
A_VAR18 [ REAL ]
mailings3 :
REFID [ INTEGER ] primary_key
REF_DATE [ DATETIME ]
RESPONSE [ TEXT ]
Customers :
ID [ INTEGER ] primary_key
SEX [ TEXT ]
MARITAL_STATUS [ TEXT ]
GEOID [ INTEGER ]
EDUCATIONNUM [ INTEGER ]
OCCUPATION [ TEXT ]
age [ INTEGER ]
Mailings1_2 :
REFID [ INTEGER ] primary_key
REF_DATE [ DATETIME ]
RESPONSE [ TEXT ]
Sales :
EVENTID [ INTEGER ] primary_key
REFID [ INTEGER ]
EVENT_DATE [ DATETIME ]
AMOUNT [ REAL ]
Please write me a SQL statement that answers the following question: List the marital status of customers within the age of 40 to 60 that has the highest income among the group. [/INST] | SELECT T1.MARITAL_STATUS FROM Customers AS T1 INNER JOIN Demog AS T2 ON T1.GEOID = T2.GEOID WHERE T1.age >= 40 AND T1.age <= 60 ORDER BY T2.INCOME_K DESC LIMIT 1; |
[INST] Here is a database schema:
Demog :
GEOID [ INTEGER ] primary_key
INHABITANTS_K [ REAL ]
INCOME_K [ REAL ]
A_VAR1 [ REAL ]
A_VAR2 [ REAL ]
A_VAR3 [ REAL ]
A_VAR4 [ REAL ]
A_VAR5 [ REAL ]
A_VAR6 [ REAL ]
A_VAR7 [ REAL ]
A_VAR8 [ REAL ]
A_VAR9 [ REAL ]
A_VAR10 [ REAL ]
A_VAR11 [ REAL ]
A_VAR12 [ REAL ]
A_VAR13 [ REAL ]
A_VAR14 [ REAL ]
A_VAR15 [ REAL ]
A_VAR16 [ REAL ]
A_VAR17 [ REAL ]
A_VAR18 [ REAL ]
mailings3 :
REFID [ INTEGER ] primary_key
REF_DATE [ DATETIME ]
RESPONSE [ TEXT ]
Customers :
ID [ INTEGER ] primary_key
SEX [ TEXT ]
MARITAL_STATUS [ TEXT ]
GEOID [ INTEGER ]
EDUCATIONNUM [ INTEGER ]
OCCUPATION [ TEXT ]
age [ INTEGER ]
Mailings1_2 :
REFID [ INTEGER ] primary_key
REF_DATE [ DATETIME ]
RESPONSE [ TEXT ]
Sales :
EVENTID [ INTEGER ] primary_key
REFID [ INTEGER ]
EVENT_DATE [ DATETIME ]
AMOUNT [ REAL ]
Please write me a SQL statement that answers the following question: What is the number of inhabitants of male customers ages from 20 to 30 years old who are farming or fishing? [/INST] | SELECT T2.INHABITANTS_K FROM Customers AS T1 INNER JOIN Demog AS T2 ON T1.GEOID = T2.GEOID WHERE T1.OCCUPATION = 'Farming-fishing' AND T1.SEX = 'Male' AND T1.age >= 20 AND T1.age <= 30; |
[INST] Here is a database schema:
Demog :
GEOID [ INTEGER ] primary_key
INHABITANTS_K [ REAL ]
INCOME_K [ REAL ]
A_VAR1 [ REAL ]
A_VAR2 [ REAL ]
A_VAR3 [ REAL ]
A_VAR4 [ REAL ]
A_VAR5 [ REAL ]
A_VAR6 [ REAL ]
A_VAR7 [ REAL ]
A_VAR8 [ REAL ]
A_VAR9 [ REAL ]
A_VAR10 [ REAL ]
A_VAR11 [ REAL ]
A_VAR12 [ REAL ]
A_VAR13 [ REAL ]
A_VAR14 [ REAL ]
A_VAR15 [ REAL ]
A_VAR16 [ REAL ]
A_VAR17 [ REAL ]
A_VAR18 [ REAL ]
mailings3 :
REFID [ INTEGER ] primary_key
REF_DATE [ DATETIME ]
RESPONSE [ TEXT ]
Customers :
ID [ INTEGER ] primary_key
SEX [ TEXT ]
MARITAL_STATUS [ TEXT ]
GEOID [ INTEGER ]
EDUCATIONNUM [ INTEGER ]
OCCUPATION [ TEXT ]
age [ INTEGER ]
Mailings1_2 :
REFID [ INTEGER ] primary_key
REF_DATE [ DATETIME ]
RESPONSE [ TEXT ]
Sales :
EVENTID [ INTEGER ] primary_key
REFID [ INTEGER ]
EVENT_DATE [ DATETIME ]
AMOUNT [ REAL ]
Please write me a SQL statement that answers the following question: Among the customers with a marital status of married-civ-spouse, list the number of inhabitants and age of those who are machine-op-inspct. [/INST] | SELECT T2.INHABITANTS_K FROM Customers AS T1 INNER JOIN Demog AS T2 ON T1.GEOID = T2.GEOID WHERE T1.OCCUPATION = 'Farming-fishing' AND T1.SEX = 'Male' AND T1.age >= 20 AND T1.age <= 30; |
[INST] Here is a database schema:
Demog :
GEOID [ INTEGER ] primary_key
INHABITANTS_K [ REAL ]
INCOME_K [ REAL ]
A_VAR1 [ REAL ]
A_VAR2 [ REAL ]
A_VAR3 [ REAL ]
A_VAR4 [ REAL ]
A_VAR5 [ REAL ]
A_VAR6 [ REAL ]
A_VAR7 [ REAL ]
A_VAR8 [ REAL ]
A_VAR9 [ REAL ]
A_VAR10 [ REAL ]
A_VAR11 [ REAL ]
A_VAR12 [ REAL ]
A_VAR13 [ REAL ]
A_VAR14 [ REAL ]
A_VAR15 [ REAL ]
A_VAR16 [ REAL ]
A_VAR17 [ REAL ]
A_VAR18 [ REAL ]
mailings3 :
REFID [ INTEGER ] primary_key
REF_DATE [ DATETIME ]
RESPONSE [ TEXT ]
Customers :
ID [ INTEGER ] primary_key
SEX [ TEXT ]
MARITAL_STATUS [ TEXT ]
GEOID [ INTEGER ]
EDUCATIONNUM [ INTEGER ]
OCCUPATION [ TEXT ]
age [ INTEGER ]
Mailings1_2 :
REFID [ INTEGER ] primary_key
REF_DATE [ DATETIME ]
RESPONSE [ TEXT ]
Sales :
EVENTID [ INTEGER ] primary_key
REFID [ INTEGER ]
EVENT_DATE [ DATETIME ]
AMOUNT [ REAL ]
Please write me a SQL statement that answers the following question: In female customers ages from 50 to 60, how many of them has an number of inhabitants ranges from 19 to 24? [/INST] | SELECT COUNT(T1.ID) FROM Customers AS T1 INNER JOIN Demog AS T2 ON T1.GEOID = T2.GEOID WHERE T1.SEX = 'Female' AND T1.age >= 50 AND T1.age <= 60 AND T2.INHABITANTS_K >= 19 AND T2.INHABITANTS_K <= 24; |
[INST] Here is a database schema:
Demog :
GEOID [ INTEGER ] primary_key
INHABITANTS_K [ REAL ]
INCOME_K [ REAL ]
A_VAR1 [ REAL ]
A_VAR2 [ REAL ]
A_VAR3 [ REAL ]
A_VAR4 [ REAL ]
A_VAR5 [ REAL ]
A_VAR6 [ REAL ]
A_VAR7 [ REAL ]
A_VAR8 [ REAL ]
A_VAR9 [ REAL ]
A_VAR10 [ REAL ]
A_VAR11 [ REAL ]
A_VAR12 [ REAL ]
A_VAR13 [ REAL ]
A_VAR14 [ REAL ]
A_VAR15 [ REAL ]
A_VAR16 [ REAL ]
A_VAR17 [ REAL ]
A_VAR18 [ REAL ]
mailings3 :
REFID [ INTEGER ] primary_key
REF_DATE [ DATETIME ]
RESPONSE [ TEXT ]
Customers :
ID [ INTEGER ] primary_key
SEX [ TEXT ]
MARITAL_STATUS [ TEXT ]
GEOID [ INTEGER ]
EDUCATIONNUM [ INTEGER ]
OCCUPATION [ TEXT ]
age [ INTEGER ]
Mailings1_2 :
REFID [ INTEGER ] primary_key
REF_DATE [ DATETIME ]
RESPONSE [ TEXT ]
Sales :
EVENTID [ INTEGER ] primary_key
REFID [ INTEGER ]
EVENT_DATE [ DATETIME ]
AMOUNT [ REAL ]
Please write me a SQL statement that answers the following question: List the income and number of inhabitants of customers with an age greater than the 80% of average age of all customers? [/INST] | SELECT T2.INCOME_K, T2.INHABITANTS_K FROM Customers AS T1 INNER JOIN Demog AS T2 ON T1.GEOID = T2.GEOID GROUP BY T2.INCOME_K, T2.INHABITANTS_K HAVING T1.age > 0.8 * AVG(T1.age); |
[INST] Here is a database schema:
Demog :
GEOID [ INTEGER ] primary_key
INHABITANTS_K [ REAL ]
INCOME_K [ REAL ]
A_VAR1 [ REAL ]
A_VAR2 [ REAL ]
A_VAR3 [ REAL ]
A_VAR4 [ REAL ]
A_VAR5 [ REAL ]
A_VAR6 [ REAL ]
A_VAR7 [ REAL ]
A_VAR8 [ REAL ]
A_VAR9 [ REAL ]
A_VAR10 [ REAL ]
A_VAR11 [ REAL ]
A_VAR12 [ REAL ]
A_VAR13 [ REAL ]
A_VAR14 [ REAL ]
A_VAR15 [ REAL ]
A_VAR16 [ REAL ]
A_VAR17 [ REAL ]
A_VAR18 [ REAL ]
mailings3 :
REFID [ INTEGER ] primary_key
REF_DATE [ DATETIME ]
RESPONSE [ TEXT ]
Customers :
ID [ INTEGER ] primary_key
SEX [ TEXT ]
MARITAL_STATUS [ TEXT ]
GEOID [ INTEGER ]
EDUCATIONNUM [ INTEGER ]
OCCUPATION [ TEXT ]
age [ INTEGER ]
Mailings1_2 :
REFID [ INTEGER ] primary_key
REF_DATE [ DATETIME ]
RESPONSE [ TEXT ]
Sales :
EVENTID [ INTEGER ] primary_key
REFID [ INTEGER ]
EVENT_DATE [ DATETIME ]
AMOUNT [ REAL ]
Please write me a SQL statement that answers the following question: In customers with marital status of never married, what is the percentage of customers with income of 2500 and above? [/INST] | SELECT CAST(SUM(CASE WHEN T2.INCOME_K > 2500 THEN 1.0 ELSE 0 END) AS REAL) * 100 / COUNT(*) FROM Customers AS T1 INNER JOIN Demog AS T2 ON T1.GEOID = T2.GEOID WHERE T1.MARITAL_STATUS = 'Never-married'; |
[INST] Here is a database schema:
Demog :
GEOID [ INTEGER ] primary_key
INHABITANTS_K [ REAL ]
INCOME_K [ REAL ]
A_VAR1 [ REAL ]
A_VAR2 [ REAL ]
A_VAR3 [ REAL ]
A_VAR4 [ REAL ]
A_VAR5 [ REAL ]
A_VAR6 [ REAL ]
A_VAR7 [ REAL ]
A_VAR8 [ REAL ]
A_VAR9 [ REAL ]
A_VAR10 [ REAL ]
A_VAR11 [ REAL ]
A_VAR12 [ REAL ]
A_VAR13 [ REAL ]
A_VAR14 [ REAL ]
A_VAR15 [ REAL ]
A_VAR16 [ REAL ]
A_VAR17 [ REAL ]
A_VAR18 [ REAL ]
mailings3 :
REFID [ INTEGER ] primary_key
REF_DATE [ DATETIME ]
RESPONSE [ TEXT ]
Customers :
ID [ INTEGER ] primary_key
SEX [ TEXT ]
MARITAL_STATUS [ TEXT ]
GEOID [ INTEGER ]
EDUCATIONNUM [ INTEGER ]
OCCUPATION [ TEXT ]
age [ INTEGER ]
Mailings1_2 :
REFID [ INTEGER ] primary_key
REF_DATE [ DATETIME ]
RESPONSE [ TEXT ]
Sales :
EVENTID [ INTEGER ] primary_key
REFID [ INTEGER ]
EVENT_DATE [ DATETIME ]
AMOUNT [ REAL ]
Please write me a SQL statement that answers the following question: Find and list the id and geographic ID of the elderly customers with an education level below 3. [/INST] | SELECT ID, GEOID FROM Customers WHERE EDUCATIONNUM < 3 AND age > 65; |
[INST] Here is a database schema:
Demog :
GEOID [ INTEGER ] primary_key
INHABITANTS_K [ REAL ]
INCOME_K [ REAL ]
A_VAR1 [ REAL ]
A_VAR2 [ REAL ]
A_VAR3 [ REAL ]
A_VAR4 [ REAL ]
A_VAR5 [ REAL ]
A_VAR6 [ REAL ]
A_VAR7 [ REAL ]
A_VAR8 [ REAL ]
A_VAR9 [ REAL ]
A_VAR10 [ REAL ]
A_VAR11 [ REAL ]
A_VAR12 [ REAL ]
A_VAR13 [ REAL ]
A_VAR14 [ REAL ]
A_VAR15 [ REAL ]
A_VAR16 [ REAL ]
A_VAR17 [ REAL ]
A_VAR18 [ REAL ]
mailings3 :
REFID [ INTEGER ] primary_key
REF_DATE [ DATETIME ]
RESPONSE [ TEXT ]
Customers :
ID [ INTEGER ] primary_key
SEX [ TEXT ]
MARITAL_STATUS [ TEXT ]
GEOID [ INTEGER ]
EDUCATIONNUM [ INTEGER ]
OCCUPATION [ TEXT ]
age [ INTEGER ]
Mailings1_2 :
REFID [ INTEGER ] primary_key
REF_DATE [ DATETIME ]
RESPONSE [ TEXT ]
Sales :
EVENTID [ INTEGER ] primary_key
REFID [ INTEGER ]
EVENT_DATE [ DATETIME ]
AMOUNT [ REAL ]
Please write me a SQL statement that answers the following question: List the geographic id of places where the income is above average. [/INST] | SELECT AVG(INCOME_K) FROM Demog; |
[INST] Here is a database schema:
Demog :
GEOID [ INTEGER ] primary_key
INHABITANTS_K [ REAL ]
INCOME_K [ REAL ]
A_VAR1 [ REAL ]
A_VAR2 [ REAL ]
A_VAR3 [ REAL ]
A_VAR4 [ REAL ]
A_VAR5 [ REAL ]
A_VAR6 [ REAL ]
A_VAR7 [ REAL ]
A_VAR8 [ REAL ]
A_VAR9 [ REAL ]
A_VAR10 [ REAL ]
A_VAR11 [ REAL ]
A_VAR12 [ REAL ]
A_VAR13 [ REAL ]
A_VAR14 [ REAL ]
A_VAR15 [ REAL ]
A_VAR16 [ REAL ]
A_VAR17 [ REAL ]
A_VAR18 [ REAL ]
mailings3 :
REFID [ INTEGER ] primary_key
REF_DATE [ DATETIME ]
RESPONSE [ TEXT ]
Customers :
ID [ INTEGER ] primary_key
SEX [ TEXT ]
MARITAL_STATUS [ TEXT ]
GEOID [ INTEGER ]
EDUCATIONNUM [ INTEGER ]
OCCUPATION [ TEXT ]
age [ INTEGER ]
Mailings1_2 :
REFID [ INTEGER ] primary_key
REF_DATE [ DATETIME ]
RESPONSE [ TEXT ]
Sales :
EVENTID [ INTEGER ] primary_key
REFID [ INTEGER ]
EVENT_DATE [ DATETIME ]
AMOUNT [ REAL ]
Please write me a SQL statement that answers the following question: Calculate the number of customers who did not respond in February of 2007. [/INST] | SELECT COUNT(REFID) custmoer_number FROM Mailings1_2 WHERE RESPONSE = 'false' AND REF_DATE BETWEEN '2007-02-01' AND '2007-02-28'; |
[INST] Here is a database schema:
Demog :
GEOID [ INTEGER ] primary_key
INHABITANTS_K [ REAL ]
INCOME_K [ REAL ]
A_VAR1 [ REAL ]
A_VAR2 [ REAL ]
A_VAR3 [ REAL ]
A_VAR4 [ REAL ]
A_VAR5 [ REAL ]
A_VAR6 [ REAL ]
A_VAR7 [ REAL ]
A_VAR8 [ REAL ]
A_VAR9 [ REAL ]
A_VAR10 [ REAL ]
A_VAR11 [ REAL ]
A_VAR12 [ REAL ]
A_VAR13 [ REAL ]
A_VAR14 [ REAL ]
A_VAR15 [ REAL ]
A_VAR16 [ REAL ]
A_VAR17 [ REAL ]
A_VAR18 [ REAL ]
mailings3 :
REFID [ INTEGER ] primary_key
REF_DATE [ DATETIME ]
RESPONSE [ TEXT ]
Customers :
ID [ INTEGER ] primary_key
SEX [ TEXT ]
MARITAL_STATUS [ TEXT ]
GEOID [ INTEGER ]
EDUCATIONNUM [ INTEGER ]
OCCUPATION [ TEXT ]
age [ INTEGER ]
Mailings1_2 :
REFID [ INTEGER ] primary_key
REF_DATE [ DATETIME ]
RESPONSE [ TEXT ]
Sales :
EVENTID [ INTEGER ] primary_key
REFID [ INTEGER ]
EVENT_DATE [ DATETIME ]
AMOUNT [ REAL ]
Please write me a SQL statement that answers the following question: How many teenagers are working as Machine-op-inspct? [/INST] | SELECT COUNT(ID) teenager_number FROM Customers WHERE OCCUPATION = 'Machine-op-inspct' AND age >= 13 AND age <= 19; |
[INST] Here is a database schema:
Demog :
GEOID [ INTEGER ] primary_key
INHABITANTS_K [ REAL ]
INCOME_K [ REAL ]
A_VAR1 [ REAL ]
A_VAR2 [ REAL ]
A_VAR3 [ REAL ]
A_VAR4 [ REAL ]
A_VAR5 [ REAL ]
A_VAR6 [ REAL ]
A_VAR7 [ REAL ]
A_VAR8 [ REAL ]
A_VAR9 [ REAL ]
A_VAR10 [ REAL ]
A_VAR11 [ REAL ]
A_VAR12 [ REAL ]
A_VAR13 [ REAL ]
A_VAR14 [ REAL ]
A_VAR15 [ REAL ]
A_VAR16 [ REAL ]
A_VAR17 [ REAL ]
A_VAR18 [ REAL ]
mailings3 :
REFID [ INTEGER ] primary_key
REF_DATE [ DATETIME ]
RESPONSE [ TEXT ]
Customers :
ID [ INTEGER ] primary_key
SEX [ TEXT ]
MARITAL_STATUS [ TEXT ]
GEOID [ INTEGER ]
EDUCATIONNUM [ INTEGER ]
OCCUPATION [ TEXT ]
age [ INTEGER ]
Mailings1_2 :
REFID [ INTEGER ] primary_key
REF_DATE [ DATETIME ]
RESPONSE [ TEXT ]
Sales :
EVENTID [ INTEGER ] primary_key
REFID [ INTEGER ]
EVENT_DATE [ DATETIME ]
AMOUNT [ REAL ]
Please write me a SQL statement that answers the following question: Of customers who provide other services, how many are from places where inhabitants are more than 20000? [/INST] | SELECT COUNT(T2.GEOID) FROM Customers AS T1 INNER JOIN Demog AS T2 ON T1.GEOID = T2.GEOID WHERE T1.OCCUPATION = 'Other-service' AND T2.INHABITANTS_K > 20; |
[INST] Here is a database schema:
Demog :
GEOID [ INTEGER ] primary_key
INHABITANTS_K [ REAL ]
INCOME_K [ REAL ]
A_VAR1 [ REAL ]
A_VAR2 [ REAL ]
A_VAR3 [ REAL ]
A_VAR4 [ REAL ]
A_VAR5 [ REAL ]
A_VAR6 [ REAL ]
A_VAR7 [ REAL ]
A_VAR8 [ REAL ]
A_VAR9 [ REAL ]
A_VAR10 [ REAL ]
A_VAR11 [ REAL ]
A_VAR12 [ REAL ]
A_VAR13 [ REAL ]
A_VAR14 [ REAL ]
A_VAR15 [ REAL ]
A_VAR16 [ REAL ]
A_VAR17 [ REAL ]
A_VAR18 [ REAL ]
mailings3 :
REFID [ INTEGER ] primary_key
REF_DATE [ DATETIME ]
RESPONSE [ TEXT ]
Customers :
ID [ INTEGER ] primary_key
SEX [ TEXT ]
MARITAL_STATUS [ TEXT ]
GEOID [ INTEGER ]
EDUCATIONNUM [ INTEGER ]
OCCUPATION [ TEXT ]
age [ INTEGER ]
Mailings1_2 :
REFID [ INTEGER ] primary_key
REF_DATE [ DATETIME ]
RESPONSE [ TEXT ]
Sales :
EVENTID [ INTEGER ] primary_key
REFID [ INTEGER ]
EVENT_DATE [ DATETIME ]
AMOUNT [ REAL ]
Please write me a SQL statement that answers the following question: Among the male customer in their twenties, how many are from places where the average income is more than 3000? [/INST] | SELECT COUNT(T2.GEOID) FROM Customers AS T1 INNER JOIN Demog AS T2 ON T1.GEOID = T2.GEOID WHERE T1.SEX = 'Male' AND T2.INCOME_K > 3000 AND T1.age >= 20 AND T1.age <= 29; |
[INST] Here is a database schema:
Demog :
GEOID [ INTEGER ] primary_key
INHABITANTS_K [ REAL ]
INCOME_K [ REAL ]
A_VAR1 [ REAL ]
A_VAR2 [ REAL ]
A_VAR3 [ REAL ]
A_VAR4 [ REAL ]
A_VAR5 [ REAL ]
A_VAR6 [ REAL ]
A_VAR7 [ REAL ]
A_VAR8 [ REAL ]
A_VAR9 [ REAL ]
A_VAR10 [ REAL ]
A_VAR11 [ REAL ]
A_VAR12 [ REAL ]
A_VAR13 [ REAL ]
A_VAR14 [ REAL ]
A_VAR15 [ REAL ]
A_VAR16 [ REAL ]
A_VAR17 [ REAL ]
A_VAR18 [ REAL ]
mailings3 :
REFID [ INTEGER ] primary_key
REF_DATE [ DATETIME ]
RESPONSE [ TEXT ]
Customers :
ID [ INTEGER ] primary_key
SEX [ TEXT ]
MARITAL_STATUS [ TEXT ]
GEOID [ INTEGER ]
EDUCATIONNUM [ INTEGER ]
OCCUPATION [ TEXT ]
age [ INTEGER ]
Mailings1_2 :
REFID [ INTEGER ] primary_key
REF_DATE [ DATETIME ]
RESPONSE [ TEXT ]
Sales :
EVENTID [ INTEGER ] primary_key
REFID [ INTEGER ]
EVENT_DATE [ DATETIME ]
AMOUNT [ REAL ]
Please write me a SQL statement that answers the following question: What percentage of elderly customers who are never married in the place with geographic ID 24? [/INST] | SELECT CAST(SUM(CASE WHEN T1.MARITAL_STATUS = 'never married' THEN 1.0 ELSE 0 END) AS REAL) * 100 / COUNT(*) FROM Customers AS T1 INNER JOIN Demog AS T2 ON T1.GEOID = T2.GEOID WHERE T1.GEOID = 24; |
[INST] Here is a database schema:
Demog :
GEOID [ INTEGER ] primary_key
INHABITANTS_K [ REAL ]
INCOME_K [ REAL ]
A_VAR1 [ REAL ]
A_VAR2 [ REAL ]
A_VAR3 [ REAL ]
A_VAR4 [ REAL ]
A_VAR5 [ REAL ]
A_VAR6 [ REAL ]
A_VAR7 [ REAL ]
A_VAR8 [ REAL ]
A_VAR9 [ REAL ]
A_VAR10 [ REAL ]
A_VAR11 [ REAL ]
A_VAR12 [ REAL ]
A_VAR13 [ REAL ]
A_VAR14 [ REAL ]
A_VAR15 [ REAL ]
A_VAR16 [ REAL ]
A_VAR17 [ REAL ]
A_VAR18 [ REAL ]
mailings3 :
REFID [ INTEGER ] primary_key
REF_DATE [ DATETIME ]
RESPONSE [ TEXT ]
Customers :
ID [ INTEGER ] primary_key
SEX [ TEXT ]
MARITAL_STATUS [ TEXT ]
GEOID [ INTEGER ]
EDUCATIONNUM [ INTEGER ]
OCCUPATION [ TEXT ]
age [ INTEGER ]
Mailings1_2 :
REFID [ INTEGER ] primary_key
REF_DATE [ DATETIME ]
RESPONSE [ TEXT ]
Sales :
EVENTID [ INTEGER ] primary_key
REFID [ INTEGER ]
EVENT_DATE [ DATETIME ]
AMOUNT [ REAL ]
Please write me a SQL statement that answers the following question: Among the customers with an average income per inhabitant above 3000, what percentage are in their eighties? [/INST] | SELECT CAST(SUM(CASE WHEN T1.age BETWEEN 80 AND 89 THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T1.ID) FROM Customers AS T1 INNER JOIN Demog AS T2 ON T1.GEOID = T2.GEOID WHERE T2.INCOME_K > 3000; |
[INST] Here is a database schema:
Demog :
GEOID [ INTEGER ] primary_key
INHABITANTS_K [ REAL ]
INCOME_K [ REAL ]
A_VAR1 [ REAL ]
A_VAR2 [ REAL ]
A_VAR3 [ REAL ]
A_VAR4 [ REAL ]
A_VAR5 [ REAL ]
A_VAR6 [ REAL ]
A_VAR7 [ REAL ]
A_VAR8 [ REAL ]
A_VAR9 [ REAL ]
A_VAR10 [ REAL ]
A_VAR11 [ REAL ]
A_VAR12 [ REAL ]
A_VAR13 [ REAL ]
A_VAR14 [ REAL ]
A_VAR15 [ REAL ]
A_VAR16 [ REAL ]
A_VAR17 [ REAL ]
A_VAR18 [ REAL ]
mailings3 :
REFID [ INTEGER ] primary_key
REF_DATE [ DATETIME ]
RESPONSE [ TEXT ]
Customers :
ID [ INTEGER ] primary_key
SEX [ TEXT ]
MARITAL_STATUS [ TEXT ]
GEOID [ INTEGER ]
EDUCATIONNUM [ INTEGER ]
OCCUPATION [ TEXT ]
age [ INTEGER ]
Mailings1_2 :
REFID [ INTEGER ] primary_key
REF_DATE [ DATETIME ]
RESPONSE [ TEXT ]
Sales :
EVENTID [ INTEGER ] primary_key
REFID [ INTEGER ]
EVENT_DATE [ DATETIME ]
AMOUNT [ REAL ]
Please write me a SQL statement that answers the following question: How many of the customer's reference ID that has a TRUE response? [/INST] | SELECT COUNT(REFID) FROM Mailings1_2 WHERE RESPONSE = 'true'; |
[INST] Here is a database schema:
Demog :
GEOID [ INTEGER ] primary_key
INHABITANTS_K [ REAL ]
INCOME_K [ REAL ]
A_VAR1 [ REAL ]
A_VAR2 [ REAL ]
A_VAR3 [ REAL ]
A_VAR4 [ REAL ]
A_VAR5 [ REAL ]
A_VAR6 [ REAL ]
A_VAR7 [ REAL ]
A_VAR8 [ REAL ]
A_VAR9 [ REAL ]
A_VAR10 [ REAL ]
A_VAR11 [ REAL ]
A_VAR12 [ REAL ]
A_VAR13 [ REAL ]
A_VAR14 [ REAL ]
A_VAR15 [ REAL ]
A_VAR16 [ REAL ]
A_VAR17 [ REAL ]
A_VAR18 [ REAL ]
mailings3 :
REFID [ INTEGER ] primary_key
REF_DATE [ DATETIME ]
RESPONSE [ TEXT ]
Customers :
ID [ INTEGER ] primary_key
SEX [ TEXT ]
MARITAL_STATUS [ TEXT ]
GEOID [ INTEGER ]
EDUCATIONNUM [ INTEGER ]
OCCUPATION [ TEXT ]
age [ INTEGER ]
Mailings1_2 :
REFID [ INTEGER ] primary_key
REF_DATE [ DATETIME ]
RESPONSE [ TEXT ]
Sales :
EVENTID [ INTEGER ] primary_key
REFID [ INTEGER ]
EVENT_DATE [ DATETIME ]
AMOUNT [ REAL ]
Please write me a SQL statement that answers the following question: List down the customer's reference ID with true response. [/INST] | SELECT REFID FROM Mailings1_2 WHERE RESPONSE = 'true'; |
[INST] Here is a database schema:
Demog :
GEOID [ INTEGER ] primary_key
INHABITANTS_K [ REAL ]
INCOME_K [ REAL ]
A_VAR1 [ REAL ]
A_VAR2 [ REAL ]
A_VAR3 [ REAL ]
A_VAR4 [ REAL ]
A_VAR5 [ REAL ]
A_VAR6 [ REAL ]
A_VAR7 [ REAL ]
A_VAR8 [ REAL ]
A_VAR9 [ REAL ]
A_VAR10 [ REAL ]
A_VAR11 [ REAL ]
A_VAR12 [ REAL ]
A_VAR13 [ REAL ]
A_VAR14 [ REAL ]
A_VAR15 [ REAL ]
A_VAR16 [ REAL ]
A_VAR17 [ REAL ]
A_VAR18 [ REAL ]
mailings3 :
REFID [ INTEGER ] primary_key
REF_DATE [ DATETIME ]
RESPONSE [ TEXT ]
Customers :
ID [ INTEGER ] primary_key
SEX [ TEXT ]
MARITAL_STATUS [ TEXT ]
GEOID [ INTEGER ]
EDUCATIONNUM [ INTEGER ]
OCCUPATION [ TEXT ]
age [ INTEGER ]
Mailings1_2 :
REFID [ INTEGER ] primary_key
REF_DATE [ DATETIME ]
RESPONSE [ TEXT ]
Sales :
EVENTID [ INTEGER ] primary_key
REFID [ INTEGER ]
EVENT_DATE [ DATETIME ]
AMOUNT [ REAL ]
Please write me a SQL statement that answers the following question: What is the total number of widowed customers with an age below 50? [/INST] | SELECT COUNT(ID) FROM Customers WHERE MARITAL_STATUS = 'Widowed' AND age < 50; |
[INST] Here is a database schema:
Demog :
GEOID [ INTEGER ] primary_key
INHABITANTS_K [ REAL ]
INCOME_K [ REAL ]
A_VAR1 [ REAL ]
A_VAR2 [ REAL ]
A_VAR3 [ REAL ]
A_VAR4 [ REAL ]
A_VAR5 [ REAL ]
A_VAR6 [ REAL ]
A_VAR7 [ REAL ]
A_VAR8 [ REAL ]
A_VAR9 [ REAL ]
A_VAR10 [ REAL ]
A_VAR11 [ REAL ]
A_VAR12 [ REAL ]
A_VAR13 [ REAL ]
A_VAR14 [ REAL ]
A_VAR15 [ REAL ]
A_VAR16 [ REAL ]
A_VAR17 [ REAL ]
A_VAR18 [ REAL ]
mailings3 :
REFID [ INTEGER ] primary_key
REF_DATE [ DATETIME ]
RESPONSE [ TEXT ]
Customers :
ID [ INTEGER ] primary_key
SEX [ TEXT ]
MARITAL_STATUS [ TEXT ]
GEOID [ INTEGER ]
EDUCATIONNUM [ INTEGER ]
OCCUPATION [ TEXT ]
age [ INTEGER ]
Mailings1_2 :
REFID [ INTEGER ] primary_key
REF_DATE [ DATETIME ]
RESPONSE [ TEXT ]
Sales :
EVENTID [ INTEGER ] primary_key
REFID [ INTEGER ]
EVENT_DATE [ DATETIME ]
AMOUNT [ REAL ]
Please write me a SQL statement that answers the following question: List down the geographic identifier with an number of inhabitants less than 30. [/INST] | SELECT GEOID FROM Demog WHERE INHABITANTS_K < 30; |
[INST] Here is a database schema:
Demog :
GEOID [ INTEGER ] primary_key
INHABITANTS_K [ REAL ]
INCOME_K [ REAL ]
A_VAR1 [ REAL ]
A_VAR2 [ REAL ]
A_VAR3 [ REAL ]
A_VAR4 [ REAL ]
A_VAR5 [ REAL ]
A_VAR6 [ REAL ]
A_VAR7 [ REAL ]
A_VAR8 [ REAL ]
A_VAR9 [ REAL ]
A_VAR10 [ REAL ]
A_VAR11 [ REAL ]
A_VAR12 [ REAL ]
A_VAR13 [ REAL ]
A_VAR14 [ REAL ]
A_VAR15 [ REAL ]
A_VAR16 [ REAL ]
A_VAR17 [ REAL ]
A_VAR18 [ REAL ]
mailings3 :
REFID [ INTEGER ] primary_key
REF_DATE [ DATETIME ]
RESPONSE [ TEXT ]
Customers :
ID [ INTEGER ] primary_key
SEX [ TEXT ]
MARITAL_STATUS [ TEXT ]
GEOID [ INTEGER ]
EDUCATIONNUM [ INTEGER ]
OCCUPATION [ TEXT ]
age [ INTEGER ]
Mailings1_2 :
REFID [ INTEGER ] primary_key
REF_DATE [ DATETIME ]
RESPONSE [ TEXT ]
Sales :
EVENTID [ INTEGER ] primary_key
REFID [ INTEGER ]
EVENT_DATE [ DATETIME ]
AMOUNT [ REAL ]
Please write me a SQL statement that answers the following question: In geographic identifier from 10 to 30, how many of them has an income below 2000? [/INST] | SELECT COUNT(GEOID) FROM Demog WHERE INCOME_K < 2000 AND GEOID >= 10 AND GEOID <= 30; |
[INST] Here is a database schema:
Demog :
GEOID [ INTEGER ] primary_key
INHABITANTS_K [ REAL ]
INCOME_K [ REAL ]
A_VAR1 [ REAL ]
A_VAR2 [ REAL ]
A_VAR3 [ REAL ]
A_VAR4 [ REAL ]
A_VAR5 [ REAL ]
A_VAR6 [ REAL ]
A_VAR7 [ REAL ]
A_VAR8 [ REAL ]
A_VAR9 [ REAL ]
A_VAR10 [ REAL ]
A_VAR11 [ REAL ]
A_VAR12 [ REAL ]
A_VAR13 [ REAL ]
A_VAR14 [ REAL ]
A_VAR15 [ REAL ]
A_VAR16 [ REAL ]
A_VAR17 [ REAL ]
A_VAR18 [ REAL ]
mailings3 :
REFID [ INTEGER ] primary_key
REF_DATE [ DATETIME ]
RESPONSE [ TEXT ]
Customers :
ID [ INTEGER ] primary_key
SEX [ TEXT ]
MARITAL_STATUS [ TEXT ]
GEOID [ INTEGER ]
EDUCATIONNUM [ INTEGER ]
OCCUPATION [ TEXT ]
age [ INTEGER ]
Mailings1_2 :
REFID [ INTEGER ] primary_key
REF_DATE [ DATETIME ]
RESPONSE [ TEXT ]
Sales :
EVENTID [ INTEGER ] primary_key
REFID [ INTEGER ]
EVENT_DATE [ DATETIME ]
AMOUNT [ REAL ]
Please write me a SQL statement that answers the following question: What is the marital status of the customer ages 62 with an level of education of 7? [/INST] | SELECT DISTINCT MARITAL_STATUS FROM Customers WHERE EDUCATIONNUM = 7 AND age = 62; |
[INST] Here is a database schema:
Demog :
GEOID [ INTEGER ] primary_key
INHABITANTS_K [ REAL ]
INCOME_K [ REAL ]
A_VAR1 [ REAL ]
A_VAR2 [ REAL ]
A_VAR3 [ REAL ]
A_VAR4 [ REAL ]
A_VAR5 [ REAL ]
A_VAR6 [ REAL ]
A_VAR7 [ REAL ]
A_VAR8 [ REAL ]
A_VAR9 [ REAL ]
A_VAR10 [ REAL ]
A_VAR11 [ REAL ]
A_VAR12 [ REAL ]
A_VAR13 [ REAL ]
A_VAR14 [ REAL ]
A_VAR15 [ REAL ]
A_VAR16 [ REAL ]
A_VAR17 [ REAL ]
A_VAR18 [ REAL ]
mailings3 :
REFID [ INTEGER ] primary_key
REF_DATE [ DATETIME ]
RESPONSE [ TEXT ]
Customers :
ID [ INTEGER ] primary_key
SEX [ TEXT ]
MARITAL_STATUS [ TEXT ]
GEOID [ INTEGER ]
EDUCATIONNUM [ INTEGER ]
OCCUPATION [ TEXT ]
age [ INTEGER ]
Mailings1_2 :
REFID [ INTEGER ] primary_key
REF_DATE [ DATETIME ]
RESPONSE [ TEXT ]
Sales :
EVENTID [ INTEGER ] primary_key
REFID [ INTEGER ]
EVENT_DATE [ DATETIME ]
AMOUNT [ REAL ]
Please write me a SQL statement that answers the following question: List down the number of inhabitants of customers with a widowed marital status and false response . [/INST] | SELECT COUNT(T1.ID) FROM Customers AS T1 INNER JOIN Mailings1_2 AS T2 ON T1.ID = T2.REFID INNER JOIN Demog AS T3 ON T1.GEOID = T3.GEOID WHERE T1.MARITAL_STATUS = 'Widowed' AND T2.RESPONSE = 'true'; |
[INST] Here is a database schema:
Demog :
GEOID [ INTEGER ] primary_key
INHABITANTS_K [ REAL ]
INCOME_K [ REAL ]
A_VAR1 [ REAL ]
A_VAR2 [ REAL ]
A_VAR3 [ REAL ]
A_VAR4 [ REAL ]
A_VAR5 [ REAL ]
A_VAR6 [ REAL ]
A_VAR7 [ REAL ]
A_VAR8 [ REAL ]
A_VAR9 [ REAL ]
A_VAR10 [ REAL ]
A_VAR11 [ REAL ]
A_VAR12 [ REAL ]
A_VAR13 [ REAL ]
A_VAR14 [ REAL ]
A_VAR15 [ REAL ]
A_VAR16 [ REAL ]
A_VAR17 [ REAL ]
A_VAR18 [ REAL ]
mailings3 :
REFID [ INTEGER ] primary_key
REF_DATE [ DATETIME ]
RESPONSE [ TEXT ]
Customers :
ID [ INTEGER ] primary_key
SEX [ TEXT ]
MARITAL_STATUS [ TEXT ]
GEOID [ INTEGER ]
EDUCATIONNUM [ INTEGER ]
OCCUPATION [ TEXT ]
age [ INTEGER ]
Mailings1_2 :
REFID [ INTEGER ] primary_key
REF_DATE [ DATETIME ]
RESPONSE [ TEXT ]
Sales :
EVENTID [ INTEGER ] primary_key
REFID [ INTEGER ]
EVENT_DATE [ DATETIME ]
AMOUNT [ REAL ]
Please write me a SQL statement that answers the following question: What is the response and number of inhabitants of the oldest female customer? [/INST] | SELECT T2.RESPONSE, T3.INHABITANTS_K FROM Customers AS T1 INNER JOIN Mailings1_2 AS T2 ON T1.ID = T2.REFID INNER JOIN Demog AS T3 ON T1.GEOID = T3.GEOID WHERE T1.SEX = 'Female' ORDER BY T1.age DESC LIMIT 1; |
[INST] Here is a database schema:
Demog :
GEOID [ INTEGER ] primary_key
INHABITANTS_K [ REAL ]
INCOME_K [ REAL ]
A_VAR1 [ REAL ]
A_VAR2 [ REAL ]
A_VAR3 [ REAL ]
A_VAR4 [ REAL ]
A_VAR5 [ REAL ]
A_VAR6 [ REAL ]
A_VAR7 [ REAL ]
A_VAR8 [ REAL ]
A_VAR9 [ REAL ]
A_VAR10 [ REAL ]
A_VAR11 [ REAL ]
A_VAR12 [ REAL ]
A_VAR13 [ REAL ]
A_VAR14 [ REAL ]
A_VAR15 [ REAL ]
A_VAR16 [ REAL ]
A_VAR17 [ REAL ]
A_VAR18 [ REAL ]
mailings3 :
REFID [ INTEGER ] primary_key
REF_DATE [ DATETIME ]
RESPONSE [ TEXT ]
Customers :
ID [ INTEGER ] primary_key
SEX [ TEXT ]
MARITAL_STATUS [ TEXT ]
GEOID [ INTEGER ]
EDUCATIONNUM [ INTEGER ]
OCCUPATION [ TEXT ]
age [ INTEGER ]
Mailings1_2 :
REFID [ INTEGER ] primary_key
REF_DATE [ DATETIME ]
RESPONSE [ TEXT ]
Sales :
EVENTID [ INTEGER ] primary_key
REFID [ INTEGER ]
EVENT_DATE [ DATETIME ]
AMOUNT [ REAL ]
Please write me a SQL statement that answers the following question: Among the female customers with an level of education of 3 and below, list their income. [/INST] | SELECT INCOME_K FROM Demog WHERE GEOID IN ( SELECT GEOID FROM Customers WHERE EDUCATIONNUM < 3 AND SEX = 'Female' ); |
[INST] Here is a database schema:
Demog :
GEOID [ INTEGER ] primary_key
INHABITANTS_K [ REAL ]
INCOME_K [ REAL ]
A_VAR1 [ REAL ]
A_VAR2 [ REAL ]
A_VAR3 [ REAL ]
A_VAR4 [ REAL ]
A_VAR5 [ REAL ]
A_VAR6 [ REAL ]
A_VAR7 [ REAL ]
A_VAR8 [ REAL ]
A_VAR9 [ REAL ]
A_VAR10 [ REAL ]
A_VAR11 [ REAL ]
A_VAR12 [ REAL ]
A_VAR13 [ REAL ]
A_VAR14 [ REAL ]
A_VAR15 [ REAL ]
A_VAR16 [ REAL ]
A_VAR17 [ REAL ]
A_VAR18 [ REAL ]
mailings3 :
REFID [ INTEGER ] primary_key
REF_DATE [ DATETIME ]
RESPONSE [ TEXT ]
Customers :
ID [ INTEGER ] primary_key
SEX [ TEXT ]
MARITAL_STATUS [ TEXT ]
GEOID [ INTEGER ]
EDUCATIONNUM [ INTEGER ]
OCCUPATION [ TEXT ]
age [ INTEGER ]
Mailings1_2 :
REFID [ INTEGER ] primary_key
REF_DATE [ DATETIME ]
RESPONSE [ TEXT ]
Sales :
EVENTID [ INTEGER ] primary_key
REFID [ INTEGER ]
EVENT_DATE [ DATETIME ]
AMOUNT [ REAL ]
Please write me a SQL statement that answers the following question: List the level of education and income of customers ages from 30 to 55 with a true response. [/INST] | SELECT T1.EDUCATIONNUM, T3.INCOME_K FROM Customers AS T1 INNER JOIN Mailings1_2 AS T2 ON T1.ID = T2.REFID INNER JOIN Demog AS T3 ON T1.GEOID = T3.GEOID WHERE T1.age >= 30 AND T1.age <= 55 AND T2.RESPONSE = 'true'; |
[INST] Here is a database schema:
Demog :
GEOID [ INTEGER ] primary_key
INHABITANTS_K [ REAL ]
INCOME_K [ REAL ]
A_VAR1 [ REAL ]
A_VAR2 [ REAL ]
A_VAR3 [ REAL ]
A_VAR4 [ REAL ]
A_VAR5 [ REAL ]
A_VAR6 [ REAL ]
A_VAR7 [ REAL ]
A_VAR8 [ REAL ]
A_VAR9 [ REAL ]
A_VAR10 [ REAL ]
A_VAR11 [ REAL ]
A_VAR12 [ REAL ]
A_VAR13 [ REAL ]
A_VAR14 [ REAL ]
A_VAR15 [ REAL ]
A_VAR16 [ REAL ]
A_VAR17 [ REAL ]
A_VAR18 [ REAL ]
mailings3 :
REFID [ INTEGER ] primary_key
REF_DATE [ DATETIME ]
RESPONSE [ TEXT ]
Customers :
ID [ INTEGER ] primary_key
SEX [ TEXT ]
MARITAL_STATUS [ TEXT ]
GEOID [ INTEGER ]
EDUCATIONNUM [ INTEGER ]
OCCUPATION [ TEXT ]
age [ INTEGER ]
Mailings1_2 :
REFID [ INTEGER ] primary_key
REF_DATE [ DATETIME ]
RESPONSE [ TEXT ]
Sales :
EVENTID [ INTEGER ] primary_key
REFID [ INTEGER ]
EVENT_DATE [ DATETIME ]
AMOUNT [ REAL ]
Please write me a SQL statement that answers the following question: In male customers ages from 30 to 50, how many of them has an income ranges from 2000 to 2300? [/INST] | SELECT COUNT(T1.ID) FROM Customers AS T1 INNER JOIN Demog AS T2 ON T1.GEOID = T2.GEOID WHERE T1.SEX = 'Male' AND T1.age >= 30 AND T1.age <= 50 AND T2.INCOME_K >= 2000 AND T2.INCOME_K <= 2300; |
[INST] Here is a database schema:
Demog :
GEOID [ INTEGER ] primary_key
INHABITANTS_K [ REAL ]
INCOME_K [ REAL ]
A_VAR1 [ REAL ]
A_VAR2 [ REAL ]
A_VAR3 [ REAL ]
A_VAR4 [ REAL ]
A_VAR5 [ REAL ]
A_VAR6 [ REAL ]
A_VAR7 [ REAL ]
A_VAR8 [ REAL ]
A_VAR9 [ REAL ]
A_VAR10 [ REAL ]
A_VAR11 [ REAL ]
A_VAR12 [ REAL ]
A_VAR13 [ REAL ]
A_VAR14 [ REAL ]
A_VAR15 [ REAL ]
A_VAR16 [ REAL ]
A_VAR17 [ REAL ]
A_VAR18 [ REAL ]
mailings3 :
REFID [ INTEGER ] primary_key
REF_DATE [ DATETIME ]
RESPONSE [ TEXT ]
Customers :
ID [ INTEGER ] primary_key
SEX [ TEXT ]
MARITAL_STATUS [ TEXT ]
GEOID [ INTEGER ]
EDUCATIONNUM [ INTEGER ]
OCCUPATION [ TEXT ]
age [ INTEGER ]
Mailings1_2 :
REFID [ INTEGER ] primary_key
REF_DATE [ DATETIME ]
RESPONSE [ TEXT ]
Sales :
EVENTID [ INTEGER ] primary_key
REFID [ INTEGER ]
EVENT_DATE [ DATETIME ]
AMOUNT [ REAL ]
Please write me a SQL statement that answers the following question: List the educationnum and response of customers within the age of 20 to 30 that has the highest number of inhabitants among the group. [/INST] | SELECT T1.EDUCATIONNUM, T2.RESPONSE FROM Customers AS T1 INNER JOIN Mailings1_2 AS T2 ON T1.ID = T2.REFID INNER JOIN Demog AS T3 ON T1.GEOID = T3.GEOID WHERE T1.age >= 20 AND T1.age <= 30 ORDER BY T3.INHABITANTS_K DESC LIMIT 1; |
[INST] Here is a database schema:
Demog :
GEOID [ INTEGER ] primary_key
INHABITANTS_K [ REAL ]
INCOME_K [ REAL ]
A_VAR1 [ REAL ]
A_VAR2 [ REAL ]
A_VAR3 [ REAL ]
A_VAR4 [ REAL ]
A_VAR5 [ REAL ]
A_VAR6 [ REAL ]
A_VAR7 [ REAL ]
A_VAR8 [ REAL ]
A_VAR9 [ REAL ]
A_VAR10 [ REAL ]
A_VAR11 [ REAL ]
A_VAR12 [ REAL ]
A_VAR13 [ REAL ]
A_VAR14 [ REAL ]
A_VAR15 [ REAL ]
A_VAR16 [ REAL ]
A_VAR17 [ REAL ]
A_VAR18 [ REAL ]
mailings3 :
REFID [ INTEGER ] primary_key
REF_DATE [ DATETIME ]
RESPONSE [ TEXT ]
Customers :
ID [ INTEGER ] primary_key
SEX [ TEXT ]
MARITAL_STATUS [ TEXT ]
GEOID [ INTEGER ]
EDUCATIONNUM [ INTEGER ]
OCCUPATION [ TEXT ]
age [ INTEGER ]
Mailings1_2 :
REFID [ INTEGER ] primary_key
REF_DATE [ DATETIME ]
RESPONSE [ TEXT ]
Sales :
EVENTID [ INTEGER ] primary_key
REFID [ INTEGER ]
EVENT_DATE [ DATETIME ]
AMOUNT [ REAL ]
Please write me a SQL statement that answers the following question: What is the income of female customers ages from 30 to 55 years old and has an occupation of machine-op-inspct? [/INST] | SELECT T2.INCOME_K FROM Customers AS T1 INNER JOIN Demog AS T2 ON T1.GEOID = T2.GEOID WHERE T1.SEX = 'Female' AND T1.age >= 30 AND T1.age <= 55 AND T1.OCCUPATION = 'Machine-op-inspct'; |
[INST] Here is a database schema:
Demog :
GEOID [ INTEGER ] primary_key
INHABITANTS_K [ REAL ]
INCOME_K [ REAL ]
A_VAR1 [ REAL ]
A_VAR2 [ REAL ]
A_VAR3 [ REAL ]
A_VAR4 [ REAL ]
A_VAR5 [ REAL ]
A_VAR6 [ REAL ]
A_VAR7 [ REAL ]
A_VAR8 [ REAL ]
A_VAR9 [ REAL ]
A_VAR10 [ REAL ]
A_VAR11 [ REAL ]
A_VAR12 [ REAL ]
A_VAR13 [ REAL ]
A_VAR14 [ REAL ]
A_VAR15 [ REAL ]
A_VAR16 [ REAL ]
A_VAR17 [ REAL ]
A_VAR18 [ REAL ]
mailings3 :
REFID [ INTEGER ] primary_key
REF_DATE [ DATETIME ]
RESPONSE [ TEXT ]
Customers :
ID [ INTEGER ] primary_key
SEX [ TEXT ]
MARITAL_STATUS [ TEXT ]
GEOID [ INTEGER ]
EDUCATIONNUM [ INTEGER ]
OCCUPATION [ TEXT ]
age [ INTEGER ]
Mailings1_2 :
REFID [ INTEGER ] primary_key
REF_DATE [ DATETIME ]
RESPONSE [ TEXT ]
Sales :
EVENTID [ INTEGER ] primary_key
REFID [ INTEGER ]
EVENT_DATE [ DATETIME ]
AMOUNT [ REAL ]
Please write me a SQL statement that answers the following question: List the marital status and response of female customers with an level of education of 8 and above. [/INST] | SELECT DISTINCT T1.MARITAL_STATUS, T2.RESPONSE FROM Customers AS T1 INNER JOIN Mailings1_2 AS T2 ON T1.ID = T2.REFID WHERE T1.EDUCATIONNUM > 8 AND T1.SEX = 'Female'; |
[INST] Here is a database schema:
Demog :
GEOID [ INTEGER ] primary_key
INHABITANTS_K [ REAL ]
INCOME_K [ REAL ]
A_VAR1 [ REAL ]
A_VAR2 [ REAL ]
A_VAR3 [ REAL ]
A_VAR4 [ REAL ]
A_VAR5 [ REAL ]
A_VAR6 [ REAL ]
A_VAR7 [ REAL ]
A_VAR8 [ REAL ]
A_VAR9 [ REAL ]
A_VAR10 [ REAL ]
A_VAR11 [ REAL ]
A_VAR12 [ REAL ]
A_VAR13 [ REAL ]
A_VAR14 [ REAL ]
A_VAR15 [ REAL ]
A_VAR16 [ REAL ]
A_VAR17 [ REAL ]
A_VAR18 [ REAL ]
mailings3 :
REFID [ INTEGER ] primary_key
REF_DATE [ DATETIME ]
RESPONSE [ TEXT ]
Customers :
ID [ INTEGER ] primary_key
SEX [ TEXT ]
MARITAL_STATUS [ TEXT ]
GEOID [ INTEGER ]
EDUCATIONNUM [ INTEGER ]
OCCUPATION [ TEXT ]
age [ INTEGER ]
Mailings1_2 :
REFID [ INTEGER ] primary_key
REF_DATE [ DATETIME ]
RESPONSE [ TEXT ]
Sales :
EVENTID [ INTEGER ] primary_key
REFID [ INTEGER ]
EVENT_DATE [ DATETIME ]
AMOUNT [ REAL ]
Please write me a SQL statement that answers the following question: What is the age of female customers within the number of inhabitants below 30? [/INST] | SELECT age FROM Customers WHERE GEOID IN ( SELECT GEOID FROM Demog WHERE INHABITANTS_K < 30 ) AND SEX = 'Female'; |
[INST] Here is a database schema:
Demog :
GEOID [ INTEGER ] primary_key
INHABITANTS_K [ REAL ]
INCOME_K [ REAL ]
A_VAR1 [ REAL ]
A_VAR2 [ REAL ]
A_VAR3 [ REAL ]
A_VAR4 [ REAL ]
A_VAR5 [ REAL ]
A_VAR6 [ REAL ]
A_VAR7 [ REAL ]
A_VAR8 [ REAL ]
A_VAR9 [ REAL ]
A_VAR10 [ REAL ]
A_VAR11 [ REAL ]
A_VAR12 [ REAL ]
A_VAR13 [ REAL ]
A_VAR14 [ REAL ]
A_VAR15 [ REAL ]
A_VAR16 [ REAL ]
A_VAR17 [ REAL ]
A_VAR18 [ REAL ]
mailings3 :
REFID [ INTEGER ] primary_key
REF_DATE [ DATETIME ]
RESPONSE [ TEXT ]
Customers :
ID [ INTEGER ] primary_key
SEX [ TEXT ]
MARITAL_STATUS [ TEXT ]
GEOID [ INTEGER ]
EDUCATIONNUM [ INTEGER ]
OCCUPATION [ TEXT ]
age [ INTEGER ]
Mailings1_2 :
REFID [ INTEGER ] primary_key
REF_DATE [ DATETIME ]
RESPONSE [ TEXT ]
Sales :
EVENTID [ INTEGER ] primary_key
REFID [ INTEGER ]
EVENT_DATE [ DATETIME ]
AMOUNT [ REAL ]
Please write me a SQL statement that answers the following question: Among the divorced male customers, give the income and response of those who has an level of education of 6 and above. [/INST] | SELECT DISTINCT T3.INCOME_K, T2.RESPONSE FROM Customers AS T1 INNER JOIN Mailings1_2 AS T2 ON T1.ID = T2.REFID INNER JOIN Demog AS T3 ON T1.GEOID = T3.GEOID WHERE T1.EDUCATIONNUM > 6 AND T1.SEX = 'Male' AND T1.MARITAL_STATUS = 'Divorced'; |
[INST] Here is a database schema:
Demog :
GEOID [ INTEGER ] primary_key
INHABITANTS_K [ REAL ]
INCOME_K [ REAL ]
A_VAR1 [ REAL ]
A_VAR2 [ REAL ]
A_VAR3 [ REAL ]
A_VAR4 [ REAL ]
A_VAR5 [ REAL ]
A_VAR6 [ REAL ]
A_VAR7 [ REAL ]
A_VAR8 [ REAL ]
A_VAR9 [ REAL ]
A_VAR10 [ REAL ]
A_VAR11 [ REAL ]
A_VAR12 [ REAL ]
A_VAR13 [ REAL ]
A_VAR14 [ REAL ]
A_VAR15 [ REAL ]
A_VAR16 [ REAL ]
A_VAR17 [ REAL ]
A_VAR18 [ REAL ]
mailings3 :
REFID [ INTEGER ] primary_key
REF_DATE [ DATETIME ]
RESPONSE [ TEXT ]
Customers :
ID [ INTEGER ] primary_key
SEX [ TEXT ]
MARITAL_STATUS [ TEXT ]
GEOID [ INTEGER ]
EDUCATIONNUM [ INTEGER ]
OCCUPATION [ TEXT ]
age [ INTEGER ]
Mailings1_2 :
REFID [ INTEGER ] primary_key
REF_DATE [ DATETIME ]
RESPONSE [ TEXT ]
Sales :
EVENTID [ INTEGER ] primary_key
REFID [ INTEGER ]
EVENT_DATE [ DATETIME ]
AMOUNT [ REAL ]
Please write me a SQL statement that answers the following question: What is the occupation and response of female customers within the number of inhabitants range of 20 to 25? [/INST] | SELECT DISTINCT T1.OCCUPATION, T2.RESPONSE FROM Customers AS T1 INNER JOIN Mailings1_2 AS T2 ON T1.ID = T2.REFID INNER JOIN Demog AS T3 ON T1.GEOID = T3.GEOID WHERE T1.SEX = 'Female' AND T3.INHABITANTS_K >= 20 AND T3.INHABITANTS_K <= 25; |
[INST] Here is a database schema:
Demog :
GEOID [ INTEGER ] primary_key
INHABITANTS_K [ REAL ]
INCOME_K [ REAL ]
A_VAR1 [ REAL ]
A_VAR2 [ REAL ]
A_VAR3 [ REAL ]
A_VAR4 [ REAL ]
A_VAR5 [ REAL ]
A_VAR6 [ REAL ]
A_VAR7 [ REAL ]
A_VAR8 [ REAL ]
A_VAR9 [ REAL ]
A_VAR10 [ REAL ]
A_VAR11 [ REAL ]
A_VAR12 [ REAL ]
A_VAR13 [ REAL ]
A_VAR14 [ REAL ]
A_VAR15 [ REAL ]
A_VAR16 [ REAL ]
A_VAR17 [ REAL ]
A_VAR18 [ REAL ]
mailings3 :
REFID [ INTEGER ] primary_key
REF_DATE [ DATETIME ]
RESPONSE [ TEXT ]
Customers :
ID [ INTEGER ] primary_key
SEX [ TEXT ]
MARITAL_STATUS [ TEXT ]
GEOID [ INTEGER ]
EDUCATIONNUM [ INTEGER ]
OCCUPATION [ TEXT ]
age [ INTEGER ]
Mailings1_2 :
REFID [ INTEGER ] primary_key
REF_DATE [ DATETIME ]
RESPONSE [ TEXT ]
Sales :
EVENTID [ INTEGER ] primary_key
REFID [ INTEGER ]
EVENT_DATE [ DATETIME ]
AMOUNT [ REAL ]
Please write me a SQL statement that answers the following question: In male customers with an occupation handlers or cleaners, what is the percentage of customers with a true response? [/INST] | SELECT CAST(SUM(CASE WHEN T2.RESPONSE = 'true' THEN 1.0 ELSE 0 END) AS REAL) * 100 / COUNT(T2.REFID) FROM Customers AS T1 INNER JOIN Mailings1_2 AS T2 ON T1.ID = T2.REFID WHERE T1.OCCUPATION = 'Handlers-cleaners' AND T1.SEX = 'Male'; |
[INST] Here is a database schema:
Demog :
GEOID [ INTEGER ] primary_key
INHABITANTS_K [ REAL ]
INCOME_K [ REAL ]
A_VAR1 [ REAL ]
A_VAR2 [ REAL ]
A_VAR3 [ REAL ]
A_VAR4 [ REAL ]
A_VAR5 [ REAL ]
A_VAR6 [ REAL ]
A_VAR7 [ REAL ]
A_VAR8 [ REAL ]
A_VAR9 [ REAL ]
A_VAR10 [ REAL ]
A_VAR11 [ REAL ]
A_VAR12 [ REAL ]
A_VAR13 [ REAL ]
A_VAR14 [ REAL ]
A_VAR15 [ REAL ]
A_VAR16 [ REAL ]
A_VAR17 [ REAL ]
A_VAR18 [ REAL ]
mailings3 :
REFID [ INTEGER ] primary_key
REF_DATE [ DATETIME ]
RESPONSE [ TEXT ]
Customers :
ID [ INTEGER ] primary_key
SEX [ TEXT ]
MARITAL_STATUS [ TEXT ]
GEOID [ INTEGER ]
EDUCATIONNUM [ INTEGER ]
OCCUPATION [ TEXT ]
age [ INTEGER ]
Mailings1_2 :
REFID [ INTEGER ] primary_key
REF_DATE [ DATETIME ]
RESPONSE [ TEXT ]
Sales :
EVENTID [ INTEGER ] primary_key
REFID [ INTEGER ]
EVENT_DATE [ DATETIME ]
AMOUNT [ REAL ]
Please write me a SQL statement that answers the following question: List the income and number of inhabitants of customers with a reference ID greater than the 50% of average of number of false response? [/INST] | SELECT T2.INCOME_K, T2.INHABITANTS_K FROM Customers AS T1 INNER JOIN Demog AS T2 ON T1.GEOID = T2.GEOID INNER JOIN Mailings1_2 AS T3 ON T1.ID = T3.REFID WHERE T3.REFID > ( SELECT 0.5 * COUNT(CASE WHEN RESPONSE = 'false' THEN 1 ELSE NULL END) / COUNT(RESPONSE) FROM Mailings1_2 ); |
[INST] Here is a database schema:
Demog :
GEOID [ INTEGER ] primary_key
INHABITANTS_K [ REAL ]
INCOME_K [ REAL ]
A_VAR1 [ REAL ]
A_VAR2 [ REAL ]
A_VAR3 [ REAL ]
A_VAR4 [ REAL ]
A_VAR5 [ REAL ]
A_VAR6 [ REAL ]
A_VAR7 [ REAL ]
A_VAR8 [ REAL ]
A_VAR9 [ REAL ]
A_VAR10 [ REAL ]
A_VAR11 [ REAL ]
A_VAR12 [ REAL ]
A_VAR13 [ REAL ]
A_VAR14 [ REAL ]
A_VAR15 [ REAL ]
A_VAR16 [ REAL ]
A_VAR17 [ REAL ]
A_VAR18 [ REAL ]
mailings3 :
REFID [ INTEGER ] primary_key
REF_DATE [ DATETIME ]
RESPONSE [ TEXT ]
Customers :
ID [ INTEGER ] primary_key
SEX [ TEXT ]
MARITAL_STATUS [ TEXT ]
GEOID [ INTEGER ]
EDUCATIONNUM [ INTEGER ]
OCCUPATION [ TEXT ]
age [ INTEGER ]
Mailings1_2 :
REFID [ INTEGER ] primary_key
REF_DATE [ DATETIME ]
RESPONSE [ TEXT ]
Sales :
EVENTID [ INTEGER ] primary_key
REFID [ INTEGER ]
EVENT_DATE [ DATETIME ]
AMOUNT [ REAL ]
Please write me a SQL statement that answers the following question: What is the ratio of male and female among the age of teenager when the education is above 10? [/INST] | SELECT CAST(SUM(CASE WHEN SEX = 'Male' THEN 1 ELSE 0 END) AS REAL) / SUM(CASE WHEN SEX = 'Female' THEN 1 ELSE 0 END) FROM Customers WHERE age BETWEEN 13 AND 19 AND EDUCATIONNUM > 10; |
[INST] Here is a database schema:
Demog :
GEOID [ INTEGER ] primary_key
INHABITANTS_K [ REAL ]
INCOME_K [ REAL ]
A_VAR1 [ REAL ]
A_VAR2 [ REAL ]
A_VAR3 [ REAL ]
A_VAR4 [ REAL ]
A_VAR5 [ REAL ]
A_VAR6 [ REAL ]
A_VAR7 [ REAL ]
A_VAR8 [ REAL ]
A_VAR9 [ REAL ]
A_VAR10 [ REAL ]
A_VAR11 [ REAL ]
A_VAR12 [ REAL ]
A_VAR13 [ REAL ]
A_VAR14 [ REAL ]
A_VAR15 [ REAL ]
A_VAR16 [ REAL ]
A_VAR17 [ REAL ]
A_VAR18 [ REAL ]
mailings3 :
REFID [ INTEGER ] primary_key
REF_DATE [ DATETIME ]
RESPONSE [ TEXT ]
Customers :
ID [ INTEGER ] primary_key
SEX [ TEXT ]
MARITAL_STATUS [ TEXT ]
GEOID [ INTEGER ]
EDUCATIONNUM [ INTEGER ]
OCCUPATION [ TEXT ]
age [ INTEGER ]
Mailings1_2 :
REFID [ INTEGER ] primary_key
REF_DATE [ DATETIME ]
RESPONSE [ TEXT ]
Sales :
EVENTID [ INTEGER ] primary_key
REFID [ INTEGER ]
EVENT_DATE [ DATETIME ]
AMOUNT [ REAL ]
Please write me a SQL statement that answers the following question: What is the geographic ID and total income per year when the average income is above 3300 dollar. [/INST] | SELECT GEOID, INHABITANTS_K * INCOME_K * 12 FROM Demog WHERE INCOME_K > 3300; |
[INST] Here is a database schema:
Demog :
GEOID [ INTEGER ] primary_key
INHABITANTS_K [ REAL ]
INCOME_K [ REAL ]
A_VAR1 [ REAL ]
A_VAR2 [ REAL ]
A_VAR3 [ REAL ]
A_VAR4 [ REAL ]
A_VAR5 [ REAL ]
A_VAR6 [ REAL ]
A_VAR7 [ REAL ]
A_VAR8 [ REAL ]
A_VAR9 [ REAL ]
A_VAR10 [ REAL ]
A_VAR11 [ REAL ]
A_VAR12 [ REAL ]
A_VAR13 [ REAL ]
A_VAR14 [ REAL ]
A_VAR15 [ REAL ]
A_VAR16 [ REAL ]
A_VAR17 [ REAL ]
A_VAR18 [ REAL ]
mailings3 :
REFID [ INTEGER ] primary_key
REF_DATE [ DATETIME ]
RESPONSE [ TEXT ]
Customers :
ID [ INTEGER ] primary_key
SEX [ TEXT ]
MARITAL_STATUS [ TEXT ]
GEOID [ INTEGER ]
EDUCATIONNUM [ INTEGER ]
OCCUPATION [ TEXT ]
age [ INTEGER ]
Mailings1_2 :
REFID [ INTEGER ] primary_key
REF_DATE [ DATETIME ]
RESPONSE [ TEXT ]
Sales :
EVENTID [ INTEGER ] primary_key
REFID [ INTEGER ]
EVENT_DATE [ DATETIME ]
AMOUNT [ REAL ]
Please write me a SQL statement that answers the following question: Point out the greater one between the number of actual responding and not responding to mailing. [/INST] | SELECT RESPONSE FROM Mailings1_2 GROUP BY RESPONSE ORDER BY COUNT(RESPONSE) DESC LIMIT 1; |
[INST] Here is a database schema:
Demog :
GEOID [ INTEGER ] primary_key
INHABITANTS_K [ REAL ]
INCOME_K [ REAL ]
A_VAR1 [ REAL ]
A_VAR2 [ REAL ]
A_VAR3 [ REAL ]
A_VAR4 [ REAL ]
A_VAR5 [ REAL ]
A_VAR6 [ REAL ]
A_VAR7 [ REAL ]
A_VAR8 [ REAL ]
A_VAR9 [ REAL ]
A_VAR10 [ REAL ]
A_VAR11 [ REAL ]
A_VAR12 [ REAL ]
A_VAR13 [ REAL ]
A_VAR14 [ REAL ]
A_VAR15 [ REAL ]
A_VAR16 [ REAL ]
A_VAR17 [ REAL ]
A_VAR18 [ REAL ]
mailings3 :
REFID [ INTEGER ] primary_key
REF_DATE [ DATETIME ]
RESPONSE [ TEXT ]
Customers :
ID [ INTEGER ] primary_key
SEX [ TEXT ]
MARITAL_STATUS [ TEXT ]
GEOID [ INTEGER ]
EDUCATIONNUM [ INTEGER ]
OCCUPATION [ TEXT ]
age [ INTEGER ]
Mailings1_2 :
REFID [ INTEGER ] primary_key
REF_DATE [ DATETIME ]
RESPONSE [ TEXT ]
Sales :
EVENTID [ INTEGER ] primary_key
REFID [ INTEGER ]
EVENT_DATE [ DATETIME ]
AMOUNT [ REAL ]
Please write me a SQL statement that answers the following question: Find out the yearly income of geographic ID when the customer is female and occupation as sales. [/INST] | SELECT T2.INHABITANTS_K * T2.INCOME_K * 12 FROM Customers AS T1 INNER JOIN Demog AS T2 ON T1.GEOID = T2.GEOID WHERE T1.SEX = 'Female' AND T1.OCCUPATION = 'Sales'; |
[INST] Here is a database schema:
Demog :
GEOID [ INTEGER ] primary_key
INHABITANTS_K [ REAL ]
INCOME_K [ REAL ]
A_VAR1 [ REAL ]
A_VAR2 [ REAL ]
A_VAR3 [ REAL ]
A_VAR4 [ REAL ]
A_VAR5 [ REAL ]
A_VAR6 [ REAL ]
A_VAR7 [ REAL ]
A_VAR8 [ REAL ]
A_VAR9 [ REAL ]
A_VAR10 [ REAL ]
A_VAR11 [ REAL ]
A_VAR12 [ REAL ]
A_VAR13 [ REAL ]
A_VAR14 [ REAL ]
A_VAR15 [ REAL ]
A_VAR16 [ REAL ]
A_VAR17 [ REAL ]
A_VAR18 [ REAL ]
mailings3 :
REFID [ INTEGER ] primary_key
REF_DATE [ DATETIME ]
RESPONSE [ TEXT ]
Customers :
ID [ INTEGER ] primary_key
SEX [ TEXT ]
MARITAL_STATUS [ TEXT ]
GEOID [ INTEGER ]
EDUCATIONNUM [ INTEGER ]
OCCUPATION [ TEXT ]
age [ INTEGER ]
Mailings1_2 :
REFID [ INTEGER ] primary_key
REF_DATE [ DATETIME ]
RESPONSE [ TEXT ]
Sales :
EVENTID [ INTEGER ] primary_key
REFID [ INTEGER ]
EVENT_DATE [ DATETIME ]
AMOUNT [ REAL ]
Please write me a SQL statement that answers the following question: Among the geographic ID which has 33.658K of inhabitants, describe the education, occupation and age of female widow. [/INST] | SELECT T1.EDUCATIONNUM, T1.OCCUPATION, T1.age FROM Customers AS T1 INNER JOIN Demog AS T2 ON T1.GEOID = T2.GEOID WHERE T2.INHABITANTS_K = 33.658 AND T1.SEX = 'Female' AND T1.MARITAL_STATUS = 'Widowed'; |
[INST] Here is a database schema:
Demog :
GEOID [ INTEGER ] primary_key
INHABITANTS_K [ REAL ]
INCOME_K [ REAL ]
A_VAR1 [ REAL ]
A_VAR2 [ REAL ]
A_VAR3 [ REAL ]
A_VAR4 [ REAL ]
A_VAR5 [ REAL ]
A_VAR6 [ REAL ]
A_VAR7 [ REAL ]
A_VAR8 [ REAL ]
A_VAR9 [ REAL ]
A_VAR10 [ REAL ]
A_VAR11 [ REAL ]
A_VAR12 [ REAL ]
A_VAR13 [ REAL ]
A_VAR14 [ REAL ]
A_VAR15 [ REAL ]
A_VAR16 [ REAL ]
A_VAR17 [ REAL ]
A_VAR18 [ REAL ]
mailings3 :
REFID [ INTEGER ] primary_key
REF_DATE [ DATETIME ]
RESPONSE [ TEXT ]
Customers :
ID [ INTEGER ] primary_key
SEX [ TEXT ]
MARITAL_STATUS [ TEXT ]
GEOID [ INTEGER ]
EDUCATIONNUM [ INTEGER ]
OCCUPATION [ TEXT ]
age [ INTEGER ]
Mailings1_2 :
REFID [ INTEGER ] primary_key
REF_DATE [ DATETIME ]
RESPONSE [ TEXT ]
Sales :
EVENTID [ INTEGER ] primary_key
REFID [ INTEGER ]
EVENT_DATE [ DATETIME ]
AMOUNT [ REAL ]
Please write me a SQL statement that answers the following question: Find the response status to customer whose geographic ID of 134. [/INST] | SELECT T2.RESPONSE FROM Customers AS T1 INNER JOIN mailings3 AS T2 ON T1.ID = T2.REFID WHERE T1.GEOID = 134; |
[INST] Here is a database schema:
Demog :
GEOID [ INTEGER ] primary_key
INHABITANTS_K [ REAL ]
INCOME_K [ REAL ]
A_VAR1 [ REAL ]
A_VAR2 [ REAL ]
A_VAR3 [ REAL ]
A_VAR4 [ REAL ]
A_VAR5 [ REAL ]
A_VAR6 [ REAL ]
A_VAR7 [ REAL ]
A_VAR8 [ REAL ]
A_VAR9 [ REAL ]
A_VAR10 [ REAL ]
A_VAR11 [ REAL ]
A_VAR12 [ REAL ]
A_VAR13 [ REAL ]
A_VAR14 [ REAL ]
A_VAR15 [ REAL ]
A_VAR16 [ REAL ]
A_VAR17 [ REAL ]
A_VAR18 [ REAL ]
mailings3 :
REFID [ INTEGER ] primary_key
REF_DATE [ DATETIME ]
RESPONSE [ TEXT ]
Customers :
ID [ INTEGER ] primary_key
SEX [ TEXT ]
MARITAL_STATUS [ TEXT ]
GEOID [ INTEGER ]
EDUCATIONNUM [ INTEGER ]
OCCUPATION [ TEXT ]
age [ INTEGER ]
Mailings1_2 :
REFID [ INTEGER ] primary_key
REF_DATE [ DATETIME ]
RESPONSE [ TEXT ]
Sales :
EVENTID [ INTEGER ] primary_key
REFID [ INTEGER ]
EVENT_DATE [ DATETIME ]
AMOUNT [ REAL ]
Please write me a SQL statement that answers the following question: Describe the average income per month and yearly income of the geographic ID in which customer of ID "209556" and "290135". [/INST] | SELECT T2.INCOME_K, T2.INHABITANTS_K * T2.INCOME_K * 12 FROM Customers AS T1 INNER JOIN Demog AS T2 ON T1.GEOID = T2.GEOID WHERE T1.ID = 209556 OR T1.ID = 290135; |
[INST] Here is a database schema:
Demog :
GEOID [ INTEGER ] primary_key
INHABITANTS_K [ REAL ]
INCOME_K [ REAL ]
A_VAR1 [ REAL ]
A_VAR2 [ REAL ]
A_VAR3 [ REAL ]
A_VAR4 [ REAL ]
A_VAR5 [ REAL ]
A_VAR6 [ REAL ]
A_VAR7 [ REAL ]
A_VAR8 [ REAL ]
A_VAR9 [ REAL ]
A_VAR10 [ REAL ]
A_VAR11 [ REAL ]
A_VAR12 [ REAL ]
A_VAR13 [ REAL ]
A_VAR14 [ REAL ]
A_VAR15 [ REAL ]
A_VAR16 [ REAL ]
A_VAR17 [ REAL ]
A_VAR18 [ REAL ]
mailings3 :
REFID [ INTEGER ] primary_key
REF_DATE [ DATETIME ]
RESPONSE [ TEXT ]
Customers :
ID [ INTEGER ] primary_key
SEX [ TEXT ]
MARITAL_STATUS [ TEXT ]
GEOID [ INTEGER ]
EDUCATIONNUM [ INTEGER ]
OCCUPATION [ TEXT ]
age [ INTEGER ]
Mailings1_2 :
REFID [ INTEGER ] primary_key
REF_DATE [ DATETIME ]
RESPONSE [ TEXT ]
Sales :
EVENTID [ INTEGER ] primary_key
REFID [ INTEGER ]
EVENT_DATE [ DATETIME ]
AMOUNT [ REAL ]
Please write me a SQL statement that answers the following question: Among the reference ID of under 10 who got response by marketing department, compare their education status. [/INST] | SELECT T1.EDUCATIONNUM FROM Customers AS T1 INNER JOIN Mailings1_2 AS T2 ON T1.ID = T2.REFID WHERE T2.REFID < 10 AND T2.RESPONSE = 'true'; |
[INST] Here is a database schema:
Community_Area :
community_area_no [ INTEGER ] primary_key
community_area_name [ TEXT ]
side [ TEXT ]
population [ TEXT ]
District :
district_no [ INTEGER ] primary_key
district_name [ TEXT ]
address [ TEXT ]
zip_code [ INTEGER ]
commander [ TEXT ]
email [ TEXT ]
phone [ TEXT ]
fax [ TEXT ]
tty [ TEXT ]
twitter [ TEXT ]
FBI_Code :
fbi_code_no [ TEXT ] primary_key
title [ TEXT ]
description [ TEXT ]
crime_against [ TEXT ]
IUCR :
iucr_no [ TEXT ] primary_key
primary_description [ TEXT ]
secondary_description [ TEXT ]
index_code [ TEXT ]
Neighborhood :
neighborhood_name [ TEXT ] primary_key
community_area_no [ INTEGER ] Neighborhood.community_area_no = Community_Area.community_area_no
Ward :
ward_no [ INTEGER ] primary_key
alderman_first_name [ TEXT ]
alderman_last_name [ TEXT ]
alderman_name_suffix [ TEXT ]
ward_office_address [ TEXT ]
ward_office_zip [ TEXT ]
ward_email [ TEXT ]
ward_office_phone [ TEXT ]
ward_office_fax [ TEXT ]
city_hall_office_room [ INTEGER ]
city_hall_office_phone [ TEXT ]
city_hall_office_fax [ TEXT ]
Population [ INTEGER ]
Crime :
report_no [ INTEGER ] primary_key
case_number [ TEXT ]
date [ TEXT ]
block [ TEXT ]
iucr_no [ TEXT ] Crime.iucr_no = IUCR.iucr_no
location_description [ TEXT ]
arrest [ TEXT ]
domestic [ TEXT ]
beat [ INTEGER ]
district_no [ INTEGER ] Crime.district_no = District.district_no
ward_no [ INTEGER ] Crime.ward_no = Ward.ward_no
community_area_no [ INTEGER ] Crime.community_area_no = Community_Area.community_area_no
fbi_code_no [ TEXT ] Crime.fbi_code_no = FBI_Code.fbi_code_no
latitude [ TEXT ]
longitude [ TEXT ]
Please write me a SQL statement that answers the following question: How many community areas are there in Central Chicago? [/INST] | SELECT COUNT(*) FROM Community_Area WHERE side = 'Central'; |
[INST] Here is a database schema:
Community_Area :
community_area_no [ INTEGER ] primary_key
community_area_name [ TEXT ]
side [ TEXT ]
population [ TEXT ]
District :
district_no [ INTEGER ] primary_key
district_name [ TEXT ]
address [ TEXT ]
zip_code [ INTEGER ]
commander [ TEXT ]
email [ TEXT ]
phone [ TEXT ]
fax [ TEXT ]
tty [ TEXT ]
twitter [ TEXT ]
FBI_Code :
fbi_code_no [ TEXT ] primary_key
title [ TEXT ]
description [ TEXT ]
crime_against [ TEXT ]
IUCR :
iucr_no [ TEXT ] primary_key
primary_description [ TEXT ]
secondary_description [ TEXT ]
index_code [ TEXT ]
Neighborhood :
neighborhood_name [ TEXT ] primary_key
community_area_no [ INTEGER ] Neighborhood.community_area_no = Community_Area.community_area_no
Ward :
ward_no [ INTEGER ] primary_key
alderman_first_name [ TEXT ]
alderman_last_name [ TEXT ]
alderman_name_suffix [ TEXT ]
ward_office_address [ TEXT ]
ward_office_zip [ TEXT ]
ward_email [ TEXT ]
ward_office_phone [ TEXT ]
ward_office_fax [ TEXT ]
city_hall_office_room [ INTEGER ]
city_hall_office_phone [ TEXT ]
city_hall_office_fax [ TEXT ]
Population [ INTEGER ]
Crime :
report_no [ INTEGER ] primary_key
case_number [ TEXT ]
date [ TEXT ]
block [ TEXT ]
iucr_no [ TEXT ] Crime.iucr_no = IUCR.iucr_no
location_description [ TEXT ]
arrest [ TEXT ]
domestic [ TEXT ]
beat [ INTEGER ]
district_no [ INTEGER ] Crime.district_no = District.district_no
ward_no [ INTEGER ] Crime.ward_no = Ward.ward_no
community_area_no [ INTEGER ] Crime.community_area_no = Community_Area.community_area_no
fbi_code_no [ TEXT ] Crime.fbi_code_no = FBI_Code.fbi_code_no
latitude [ TEXT ]
longitude [ TEXT ]
Please write me a SQL statement that answers the following question: Which district is the community area Lincoln Square grouped into? [/INST] | SELECT side FROM Community_Area WHERE community_area_name = 'Lincoln Square'; |
[INST] Here is a database schema:
Community_Area :
community_area_no [ INTEGER ] primary_key
community_area_name [ TEXT ]
side [ TEXT ]
population [ TEXT ]
District :
district_no [ INTEGER ] primary_key
district_name [ TEXT ]
address [ TEXT ]
zip_code [ INTEGER ]
commander [ TEXT ]
email [ TEXT ]
phone [ TEXT ]
fax [ TEXT ]
tty [ TEXT ]
twitter [ TEXT ]
FBI_Code :
fbi_code_no [ TEXT ] primary_key
title [ TEXT ]
description [ TEXT ]
crime_against [ TEXT ]
IUCR :
iucr_no [ TEXT ] primary_key
primary_description [ TEXT ]
secondary_description [ TEXT ]
index_code [ TEXT ]
Neighborhood :
neighborhood_name [ TEXT ] primary_key
community_area_no [ INTEGER ] Neighborhood.community_area_no = Community_Area.community_area_no
Ward :
ward_no [ INTEGER ] primary_key
alderman_first_name [ TEXT ]
alderman_last_name [ TEXT ]
alderman_name_suffix [ TEXT ]
ward_office_address [ TEXT ]
ward_office_zip [ TEXT ]
ward_email [ TEXT ]
ward_office_phone [ TEXT ]
ward_office_fax [ TEXT ]
city_hall_office_room [ INTEGER ]
city_hall_office_phone [ TEXT ]
city_hall_office_fax [ TEXT ]
Population [ INTEGER ]
Crime :
report_no [ INTEGER ] primary_key
case_number [ TEXT ]
date [ TEXT ]
block [ TEXT ]
iucr_no [ TEXT ] Crime.iucr_no = IUCR.iucr_no
location_description [ TEXT ]
arrest [ TEXT ]
domestic [ TEXT ]
beat [ INTEGER ]
district_no [ INTEGER ] Crime.district_no = District.district_no
ward_no [ INTEGER ] Crime.ward_no = Ward.ward_no
community_area_no [ INTEGER ] Crime.community_area_no = Community_Area.community_area_no
fbi_code_no [ TEXT ] Crime.fbi_code_no = FBI_Code.fbi_code_no
latitude [ TEXT ]
longitude [ TEXT ]
Please write me a SQL statement that answers the following question: Which district in Chicago has the most community areas? [/INST] | SELECT side FROM Community_Area GROUP BY side ORDER BY COUNT(side) DESC LIMIT 1; |
[INST] Here is a database schema:
Community_Area :
community_area_no [ INTEGER ] primary_key
community_area_name [ TEXT ]
side [ TEXT ]
population [ TEXT ]
District :
district_no [ INTEGER ] primary_key
district_name [ TEXT ]
address [ TEXT ]
zip_code [ INTEGER ]
commander [ TEXT ]
email [ TEXT ]
phone [ TEXT ]
fax [ TEXT ]
tty [ TEXT ]
twitter [ TEXT ]
FBI_Code :
fbi_code_no [ TEXT ] primary_key
title [ TEXT ]
description [ TEXT ]
crime_against [ TEXT ]
IUCR :
iucr_no [ TEXT ] primary_key
primary_description [ TEXT ]
secondary_description [ TEXT ]
index_code [ TEXT ]
Neighborhood :
neighborhood_name [ TEXT ] primary_key
community_area_no [ INTEGER ] Neighborhood.community_area_no = Community_Area.community_area_no
Ward :
ward_no [ INTEGER ] primary_key
alderman_first_name [ TEXT ]
alderman_last_name [ TEXT ]
alderman_name_suffix [ TEXT ]
ward_office_address [ TEXT ]
ward_office_zip [ TEXT ]
ward_email [ TEXT ]
ward_office_phone [ TEXT ]
ward_office_fax [ TEXT ]
city_hall_office_room [ INTEGER ]
city_hall_office_phone [ TEXT ]
city_hall_office_fax [ TEXT ]
Population [ INTEGER ]
Crime :
report_no [ INTEGER ] primary_key
case_number [ TEXT ]
date [ TEXT ]
block [ TEXT ]
iucr_no [ TEXT ] Crime.iucr_no = IUCR.iucr_no
location_description [ TEXT ]
arrest [ TEXT ]
domestic [ TEXT ]
beat [ INTEGER ]
district_no [ INTEGER ] Crime.district_no = District.district_no
ward_no [ INTEGER ] Crime.ward_no = Ward.ward_no
community_area_no [ INTEGER ] Crime.community_area_no = Community_Area.community_area_no
fbi_code_no [ TEXT ] Crime.fbi_code_no = FBI_Code.fbi_code_no
latitude [ TEXT ]
longitude [ TEXT ]
Please write me a SQL statement that answers the following question: Which community area has the least population? [/INST] | SELECT community_area_name FROM Community_Area ORDER BY population ASC LIMIT 1; |
[INST] Here is a database schema:
Community_Area :
community_area_no [ INTEGER ] primary_key
community_area_name [ TEXT ]
side [ TEXT ]
population [ TEXT ]
District :
district_no [ INTEGER ] primary_key
district_name [ TEXT ]
address [ TEXT ]
zip_code [ INTEGER ]
commander [ TEXT ]
email [ TEXT ]
phone [ TEXT ]
fax [ TEXT ]
tty [ TEXT ]
twitter [ TEXT ]
FBI_Code :
fbi_code_no [ TEXT ] primary_key
title [ TEXT ]
description [ TEXT ]
crime_against [ TEXT ]
IUCR :
iucr_no [ TEXT ] primary_key
primary_description [ TEXT ]
secondary_description [ TEXT ]
index_code [ TEXT ]
Neighborhood :
neighborhood_name [ TEXT ] primary_key
community_area_no [ INTEGER ] Neighborhood.community_area_no = Community_Area.community_area_no
Ward :
ward_no [ INTEGER ] primary_key
alderman_first_name [ TEXT ]
alderman_last_name [ TEXT ]
alderman_name_suffix [ TEXT ]
ward_office_address [ TEXT ]
ward_office_zip [ TEXT ]
ward_email [ TEXT ]
ward_office_phone [ TEXT ]
ward_office_fax [ TEXT ]
city_hall_office_room [ INTEGER ]
city_hall_office_phone [ TEXT ]
city_hall_office_fax [ TEXT ]
Population [ INTEGER ]
Crime :
report_no [ INTEGER ] primary_key
case_number [ TEXT ]
date [ TEXT ]
block [ TEXT ]
iucr_no [ TEXT ] Crime.iucr_no = IUCR.iucr_no
location_description [ TEXT ]
arrest [ TEXT ]
domestic [ TEXT ]
beat [ INTEGER ]
district_no [ INTEGER ] Crime.district_no = District.district_no
ward_no [ INTEGER ] Crime.ward_no = Ward.ward_no
community_area_no [ INTEGER ] Crime.community_area_no = Community_Area.community_area_no
fbi_code_no [ TEXT ] Crime.fbi_code_no = FBI_Code.fbi_code_no
latitude [ TEXT ]
longitude [ TEXT ]
Please write me a SQL statement that answers the following question: Who is the person responsible for the crime cases in Central Chicago? [/INST] | SELECT commander FROM District WHERE district_name = 'Central'; |
[INST] Here is a database schema:
Community_Area :
community_area_no [ INTEGER ] primary_key
community_area_name [ TEXT ]
side [ TEXT ]
population [ TEXT ]
District :
district_no [ INTEGER ] primary_key
district_name [ TEXT ]
address [ TEXT ]
zip_code [ INTEGER ]
commander [ TEXT ]
email [ TEXT ]
phone [ TEXT ]
fax [ TEXT ]
tty [ TEXT ]
twitter [ TEXT ]
FBI_Code :
fbi_code_no [ TEXT ] primary_key
title [ TEXT ]
description [ TEXT ]
crime_against [ TEXT ]
IUCR :
iucr_no [ TEXT ] primary_key
primary_description [ TEXT ]
secondary_description [ TEXT ]
index_code [ TEXT ]
Neighborhood :
neighborhood_name [ TEXT ] primary_key
community_area_no [ INTEGER ] Neighborhood.community_area_no = Community_Area.community_area_no
Ward :
ward_no [ INTEGER ] primary_key
alderman_first_name [ TEXT ]
alderman_last_name [ TEXT ]
alderman_name_suffix [ TEXT ]
ward_office_address [ TEXT ]
ward_office_zip [ TEXT ]
ward_email [ TEXT ]
ward_office_phone [ TEXT ]
ward_office_fax [ TEXT ]
city_hall_office_room [ INTEGER ]
city_hall_office_phone [ TEXT ]
city_hall_office_fax [ TEXT ]
Population [ INTEGER ]
Crime :
report_no [ INTEGER ] primary_key
case_number [ TEXT ]
date [ TEXT ]
block [ TEXT ]
iucr_no [ TEXT ] Crime.iucr_no = IUCR.iucr_no
location_description [ TEXT ]
arrest [ TEXT ]
domestic [ TEXT ]
beat [ INTEGER ]
district_no [ INTEGER ] Crime.district_no = District.district_no
ward_no [ INTEGER ] Crime.ward_no = Ward.ward_no
community_area_no [ INTEGER ] Crime.community_area_no = Community_Area.community_area_no
fbi_code_no [ TEXT ] Crime.fbi_code_no = FBI_Code.fbi_code_no
latitude [ TEXT ]
longitude [ TEXT ]
Please write me a SQL statement that answers the following question: What is the email address to contact the administrator of Central Chicago? [/INST] | SELECT email FROM District WHERE district_name = 'Central'; |
[INST] Here is a database schema:
Community_Area :
community_area_no [ INTEGER ] primary_key
community_area_name [ TEXT ]
side [ TEXT ]
population [ TEXT ]
District :
district_no [ INTEGER ] primary_key
district_name [ TEXT ]
address [ TEXT ]
zip_code [ INTEGER ]
commander [ TEXT ]
email [ TEXT ]
phone [ TEXT ]
fax [ TEXT ]
tty [ TEXT ]
twitter [ TEXT ]
FBI_Code :
fbi_code_no [ TEXT ] primary_key
title [ TEXT ]
description [ TEXT ]
crime_against [ TEXT ]
IUCR :
iucr_no [ TEXT ] primary_key
primary_description [ TEXT ]
secondary_description [ TEXT ]
index_code [ TEXT ]
Neighborhood :
neighborhood_name [ TEXT ] primary_key
community_area_no [ INTEGER ] Neighborhood.community_area_no = Community_Area.community_area_no
Ward :
ward_no [ INTEGER ] primary_key
alderman_first_name [ TEXT ]
alderman_last_name [ TEXT ]
alderman_name_suffix [ TEXT ]
ward_office_address [ TEXT ]
ward_office_zip [ TEXT ]
ward_email [ TEXT ]
ward_office_phone [ TEXT ]
ward_office_fax [ TEXT ]
city_hall_office_room [ INTEGER ]
city_hall_office_phone [ TEXT ]
city_hall_office_fax [ TEXT ]
Population [ INTEGER ]
Crime :
report_no [ INTEGER ] primary_key
case_number [ TEXT ]
date [ TEXT ]
block [ TEXT ]
iucr_no [ TEXT ] Crime.iucr_no = IUCR.iucr_no
location_description [ TEXT ]
arrest [ TEXT ]
domestic [ TEXT ]
beat [ INTEGER ]
district_no [ INTEGER ] Crime.district_no = District.district_no
ward_no [ INTEGER ] Crime.ward_no = Ward.ward_no
community_area_no [ INTEGER ] Crime.community_area_no = Community_Area.community_area_no
fbi_code_no [ TEXT ] Crime.fbi_code_no = FBI_Code.fbi_code_no
latitude [ TEXT ]
longitude [ TEXT ]
Please write me a SQL statement that answers the following question: To which community area does the neighborhood Albany Park belong? [/INST] | SELECT T2.community_area_name FROM Neighborhood AS T1 INNER JOIN Community_Area AS T2 ON T1.community_area_no = T2.community_area_no WHERE T1.neighborhood_name = 'Albany Park'; |
[INST] Here is a database schema:
Community_Area :
community_area_no [ INTEGER ] primary_key
community_area_name [ TEXT ]
side [ TEXT ]
population [ TEXT ]
District :
district_no [ INTEGER ] primary_key
district_name [ TEXT ]
address [ TEXT ]
zip_code [ INTEGER ]
commander [ TEXT ]
email [ TEXT ]
phone [ TEXT ]
fax [ TEXT ]
tty [ TEXT ]
twitter [ TEXT ]
FBI_Code :
fbi_code_no [ TEXT ] primary_key
title [ TEXT ]
description [ TEXT ]
crime_against [ TEXT ]
IUCR :
iucr_no [ TEXT ] primary_key
primary_description [ TEXT ]
secondary_description [ TEXT ]
index_code [ TEXT ]
Neighborhood :
neighborhood_name [ TEXT ] primary_key
community_area_no [ INTEGER ] Neighborhood.community_area_no = Community_Area.community_area_no
Ward :
ward_no [ INTEGER ] primary_key
alderman_first_name [ TEXT ]
alderman_last_name [ TEXT ]
alderman_name_suffix [ TEXT ]
ward_office_address [ TEXT ]
ward_office_zip [ TEXT ]
ward_email [ TEXT ]
ward_office_phone [ TEXT ]
ward_office_fax [ TEXT ]
city_hall_office_room [ INTEGER ]
city_hall_office_phone [ TEXT ]
city_hall_office_fax [ TEXT ]
Population [ INTEGER ]
Crime :
report_no [ INTEGER ] primary_key
case_number [ TEXT ]
date [ TEXT ]
block [ TEXT ]
iucr_no [ TEXT ] Crime.iucr_no = IUCR.iucr_no
location_description [ TEXT ]
arrest [ TEXT ]
domestic [ TEXT ]
beat [ INTEGER ]
district_no [ INTEGER ] Crime.district_no = District.district_no
ward_no [ INTEGER ] Crime.ward_no = Ward.ward_no
community_area_no [ INTEGER ] Crime.community_area_no = Community_Area.community_area_no
fbi_code_no [ TEXT ] Crime.fbi_code_no = FBI_Code.fbi_code_no
latitude [ TEXT ]
longitude [ TEXT ]
Please write me a SQL statement that answers the following question: How many neighborhoods are there in the community area of Lincoln Square? [/INST] | SELECT COUNT(T3.community_area_no) FROM ( SELECT T1.community_area_no FROM Community_Area AS T1 INNER JOIN Neighborhood AS T2 ON T1.community_area_no = T2.community_area_no WHERE community_area_name = 'Lincoln Square' GROUP BY T1.community_area_no ) T3; |
[INST] Here is a database schema:
Community_Area :
community_area_no [ INTEGER ] primary_key
community_area_name [ TEXT ]
side [ TEXT ]
population [ TEXT ]
District :
district_no [ INTEGER ] primary_key
district_name [ TEXT ]
address [ TEXT ]
zip_code [ INTEGER ]
commander [ TEXT ]
email [ TEXT ]
phone [ TEXT ]
fax [ TEXT ]
tty [ TEXT ]
twitter [ TEXT ]
FBI_Code :
fbi_code_no [ TEXT ] primary_key
title [ TEXT ]
description [ TEXT ]
crime_against [ TEXT ]
IUCR :
iucr_no [ TEXT ] primary_key
primary_description [ TEXT ]
secondary_description [ TEXT ]
index_code [ TEXT ]
Neighborhood :
neighborhood_name [ TEXT ] primary_key
community_area_no [ INTEGER ] Neighborhood.community_area_no = Community_Area.community_area_no
Ward :
ward_no [ INTEGER ] primary_key
alderman_first_name [ TEXT ]
alderman_last_name [ TEXT ]
alderman_name_suffix [ TEXT ]
ward_office_address [ TEXT ]
ward_office_zip [ TEXT ]
ward_email [ TEXT ]
ward_office_phone [ TEXT ]
ward_office_fax [ TEXT ]
city_hall_office_room [ INTEGER ]
city_hall_office_phone [ TEXT ]
city_hall_office_fax [ TEXT ]
Population [ INTEGER ]
Crime :
report_no [ INTEGER ] primary_key
case_number [ TEXT ]
date [ TEXT ]
block [ TEXT ]
iucr_no [ TEXT ] Crime.iucr_no = IUCR.iucr_no
location_description [ TEXT ]
arrest [ TEXT ]
domestic [ TEXT ]
beat [ INTEGER ]
district_no [ INTEGER ] Crime.district_no = District.district_no
ward_no [ INTEGER ] Crime.ward_no = Ward.ward_no
community_area_no [ INTEGER ] Crime.community_area_no = Community_Area.community_area_no
fbi_code_no [ TEXT ] Crime.fbi_code_no = FBI_Code.fbi_code_no
latitude [ TEXT ]
longitude [ TEXT ]
Please write me a SQL statement that answers the following question: Please list the names of all the neighborhoods in the community area with the most population. [/INST] | SELECT T1.neighborhood_name FROM Neighborhood AS T1 INNER JOIN Community_Area AS T2 ON T2.community_area_no = T2.community_area_no ORDER BY T2.population DESC LIMIT 1; |
[INST] Here is a database schema:
Community_Area :
community_area_no [ INTEGER ] primary_key
community_area_name [ TEXT ]
side [ TEXT ]
population [ TEXT ]
District :
district_no [ INTEGER ] primary_key
district_name [ TEXT ]
address [ TEXT ]
zip_code [ INTEGER ]
commander [ TEXT ]
email [ TEXT ]
phone [ TEXT ]
fax [ TEXT ]
tty [ TEXT ]
twitter [ TEXT ]
FBI_Code :
fbi_code_no [ TEXT ] primary_key
title [ TEXT ]
description [ TEXT ]
crime_against [ TEXT ]
IUCR :
iucr_no [ TEXT ] primary_key
primary_description [ TEXT ]
secondary_description [ TEXT ]
index_code [ TEXT ]
Neighborhood :
neighborhood_name [ TEXT ] primary_key
community_area_no [ INTEGER ] Neighborhood.community_area_no = Community_Area.community_area_no
Ward :
ward_no [ INTEGER ] primary_key
alderman_first_name [ TEXT ]
alderman_last_name [ TEXT ]
alderman_name_suffix [ TEXT ]
ward_office_address [ TEXT ]
ward_office_zip [ TEXT ]
ward_email [ TEXT ]
ward_office_phone [ TEXT ]
ward_office_fax [ TEXT ]
city_hall_office_room [ INTEGER ]
city_hall_office_phone [ TEXT ]
city_hall_office_fax [ TEXT ]
Population [ INTEGER ]
Crime :
report_no [ INTEGER ] primary_key
case_number [ TEXT ]
date [ TEXT ]
block [ TEXT ]
iucr_no [ TEXT ] Crime.iucr_no = IUCR.iucr_no
location_description [ TEXT ]
arrest [ TEXT ]
domestic [ TEXT ]
beat [ INTEGER ]
district_no [ INTEGER ] Crime.district_no = District.district_no
ward_no [ INTEGER ] Crime.ward_no = Ward.ward_no
community_area_no [ INTEGER ] Crime.community_area_no = Community_Area.community_area_no
fbi_code_no [ TEXT ] Crime.fbi_code_no = FBI_Code.fbi_code_no
latitude [ TEXT ]
longitude [ TEXT ]
Please write me a SQL statement that answers the following question: Please list the names of all the neighborhoods in Central Chicago. [/INST] | SELECT T2.neighborhood_name FROM Community_Area AS T1 INNER JOIN Neighborhood AS T2 ON T1.community_area_no = T2.community_area_no WHERE T1.side = 'Central'; |
[INST] Here is a database schema:
Community_Area :
community_area_no [ INTEGER ] primary_key
community_area_name [ TEXT ]
side [ TEXT ]
population [ TEXT ]
District :
district_no [ INTEGER ] primary_key
district_name [ TEXT ]
address [ TEXT ]
zip_code [ INTEGER ]
commander [ TEXT ]
email [ TEXT ]
phone [ TEXT ]
fax [ TEXT ]
tty [ TEXT ]
twitter [ TEXT ]
FBI_Code :
fbi_code_no [ TEXT ] primary_key
title [ TEXT ]
description [ TEXT ]
crime_against [ TEXT ]
IUCR :
iucr_no [ TEXT ] primary_key
primary_description [ TEXT ]
secondary_description [ TEXT ]
index_code [ TEXT ]
Neighborhood :
neighborhood_name [ TEXT ] primary_key
community_area_no [ INTEGER ] Neighborhood.community_area_no = Community_Area.community_area_no
Ward :
ward_no [ INTEGER ] primary_key
alderman_first_name [ TEXT ]
alderman_last_name [ TEXT ]
alderman_name_suffix [ TEXT ]
ward_office_address [ TEXT ]
ward_office_zip [ TEXT ]
ward_email [ TEXT ]
ward_office_phone [ TEXT ]
ward_office_fax [ TEXT ]
city_hall_office_room [ INTEGER ]
city_hall_office_phone [ TEXT ]
city_hall_office_fax [ TEXT ]
Population [ INTEGER ]
Crime :
report_no [ INTEGER ] primary_key
case_number [ TEXT ]
date [ TEXT ]
block [ TEXT ]
iucr_no [ TEXT ] Crime.iucr_no = IUCR.iucr_no
location_description [ TEXT ]
arrest [ TEXT ]
domestic [ TEXT ]
beat [ INTEGER ]
district_no [ INTEGER ] Crime.district_no = District.district_no
ward_no [ INTEGER ] Crime.ward_no = Ward.ward_no
community_area_no [ INTEGER ] Crime.community_area_no = Community_Area.community_area_no
fbi_code_no [ TEXT ] Crime.fbi_code_no = FBI_Code.fbi_code_no
latitude [ TEXT ]
longitude [ TEXT ]
Please write me a SQL statement that answers the following question: Please list the precise location coordinates of all the crimes in Central Chicago. [/INST] | SELECT T2.latitude, T2.longitude FROM District AS T1 INNER JOIN Crime AS T2 ON T1.district_no = T2.district_no WHERE T1.district_name = 'Central'; |
[INST] Here is a database schema:
Community_Area :
community_area_no [ INTEGER ] primary_key
community_area_name [ TEXT ]
side [ TEXT ]
population [ TEXT ]
District :
district_no [ INTEGER ] primary_key
district_name [ TEXT ]
address [ TEXT ]
zip_code [ INTEGER ]
commander [ TEXT ]
email [ TEXT ]
phone [ TEXT ]
fax [ TEXT ]
tty [ TEXT ]
twitter [ TEXT ]
FBI_Code :
fbi_code_no [ TEXT ] primary_key
title [ TEXT ]
description [ TEXT ]
crime_against [ TEXT ]
IUCR :
iucr_no [ TEXT ] primary_key
primary_description [ TEXT ]
secondary_description [ TEXT ]
index_code [ TEXT ]
Neighborhood :
neighborhood_name [ TEXT ] primary_key
community_area_no [ INTEGER ] Neighborhood.community_area_no = Community_Area.community_area_no
Ward :
ward_no [ INTEGER ] primary_key
alderman_first_name [ TEXT ]
alderman_last_name [ TEXT ]
alderman_name_suffix [ TEXT ]
ward_office_address [ TEXT ]
ward_office_zip [ TEXT ]
ward_email [ TEXT ]
ward_office_phone [ TEXT ]
ward_office_fax [ TEXT ]
city_hall_office_room [ INTEGER ]
city_hall_office_phone [ TEXT ]
city_hall_office_fax [ TEXT ]
Population [ INTEGER ]
Crime :
report_no [ INTEGER ] primary_key
case_number [ TEXT ]
date [ TEXT ]
block [ TEXT ]
iucr_no [ TEXT ] Crime.iucr_no = IUCR.iucr_no
location_description [ TEXT ]
arrest [ TEXT ]
domestic [ TEXT ]
beat [ INTEGER ]
district_no [ INTEGER ] Crime.district_no = District.district_no
ward_no [ INTEGER ] Crime.ward_no = Ward.ward_no
community_area_no [ INTEGER ] Crime.community_area_no = Community_Area.community_area_no
fbi_code_no [ TEXT ] Crime.fbi_code_no = FBI_Code.fbi_code_no
latitude [ TEXT ]
longitude [ TEXT ]
Please write me a SQL statement that answers the following question: How many crimes had happened in Central Chicago? [/INST] | SELECT COUNT(*) FROM Crime AS T1 INNER JOIN District AS T2 ON T1.district_no = T2.district_no WHERE T2.district_name = 'Central'; |
[INST] Here is a database schema:
Community_Area :
community_area_no [ INTEGER ] primary_key
community_area_name [ TEXT ]
side [ TEXT ]
population [ TEXT ]
District :
district_no [ INTEGER ] primary_key
district_name [ TEXT ]
address [ TEXT ]
zip_code [ INTEGER ]
commander [ TEXT ]
email [ TEXT ]
phone [ TEXT ]
fax [ TEXT ]
tty [ TEXT ]
twitter [ TEXT ]
FBI_Code :
fbi_code_no [ TEXT ] primary_key
title [ TEXT ]
description [ TEXT ]
crime_against [ TEXT ]
IUCR :
iucr_no [ TEXT ] primary_key
primary_description [ TEXT ]
secondary_description [ TEXT ]
index_code [ TEXT ]
Neighborhood :
neighborhood_name [ TEXT ] primary_key
community_area_no [ INTEGER ] Neighborhood.community_area_no = Community_Area.community_area_no
Ward :
ward_no [ INTEGER ] primary_key
alderman_first_name [ TEXT ]
alderman_last_name [ TEXT ]
alderman_name_suffix [ TEXT ]
ward_office_address [ TEXT ]
ward_office_zip [ TEXT ]
ward_email [ TEXT ]
ward_office_phone [ TEXT ]
ward_office_fax [ TEXT ]
city_hall_office_room [ INTEGER ]
city_hall_office_phone [ TEXT ]
city_hall_office_fax [ TEXT ]
Population [ INTEGER ]
Crime :
report_no [ INTEGER ] primary_key
case_number [ TEXT ]
date [ TEXT ]
block [ TEXT ]
iucr_no [ TEXT ] Crime.iucr_no = IUCR.iucr_no
location_description [ TEXT ]
arrest [ TEXT ]
domestic [ TEXT ]
beat [ INTEGER ]
district_no [ INTEGER ] Crime.district_no = District.district_no
ward_no [ INTEGER ] Crime.ward_no = Ward.ward_no
community_area_no [ INTEGER ] Crime.community_area_no = Community_Area.community_area_no
fbi_code_no [ TEXT ] Crime.fbi_code_no = FBI_Code.fbi_code_no
latitude [ TEXT ]
longitude [ TEXT ]
Please write me a SQL statement that answers the following question: Among all the crimes that had happened in Central Chicago, how many of them were cases of domestic violence? [/INST] | SELECT COUNT(*) FROM Crime AS T1 INNER JOIN District AS T2 ON T1.district_no = T2.district_no WHERE T2.district_name = 'Central' AND T1.domestic = 'TRUE'; |
[INST] Here is a database schema:
Community_Area :
community_area_no [ INTEGER ] primary_key
community_area_name [ TEXT ]
side [ TEXT ]
population [ TEXT ]
District :
district_no [ INTEGER ] primary_key
district_name [ TEXT ]
address [ TEXT ]
zip_code [ INTEGER ]
commander [ TEXT ]
email [ TEXT ]
phone [ TEXT ]
fax [ TEXT ]
tty [ TEXT ]
twitter [ TEXT ]
FBI_Code :
fbi_code_no [ TEXT ] primary_key
title [ TEXT ]
description [ TEXT ]
crime_against [ TEXT ]
IUCR :
iucr_no [ TEXT ] primary_key
primary_description [ TEXT ]
secondary_description [ TEXT ]
index_code [ TEXT ]
Neighborhood :
neighborhood_name [ TEXT ] primary_key
community_area_no [ INTEGER ] Neighborhood.community_area_no = Community_Area.community_area_no
Ward :
ward_no [ INTEGER ] primary_key
alderman_first_name [ TEXT ]
alderman_last_name [ TEXT ]
alderman_name_suffix [ TEXT ]
ward_office_address [ TEXT ]
ward_office_zip [ TEXT ]
ward_email [ TEXT ]
ward_office_phone [ TEXT ]
ward_office_fax [ TEXT ]
city_hall_office_room [ INTEGER ]
city_hall_office_phone [ TEXT ]
city_hall_office_fax [ TEXT ]
Population [ INTEGER ]
Crime :
report_no [ INTEGER ] primary_key
case_number [ TEXT ]
date [ TEXT ]
block [ TEXT ]
iucr_no [ TEXT ] Crime.iucr_no = IUCR.iucr_no
location_description [ TEXT ]
arrest [ TEXT ]
domestic [ TEXT ]
beat [ INTEGER ]
district_no [ INTEGER ] Crime.district_no = District.district_no
ward_no [ INTEGER ] Crime.ward_no = Ward.ward_no
community_area_no [ INTEGER ] Crime.community_area_no = Community_Area.community_area_no
fbi_code_no [ TEXT ] Crime.fbi_code_no = FBI_Code.fbi_code_no
latitude [ TEXT ]
longitude [ TEXT ]
Please write me a SQL statement that answers the following question: Please list the case numbers of all the crimes with no arrest made in Central Chicago. [/INST] | SELECT COUNT(*) FROM Crime AS T1 INNER JOIN District AS T2 ON T1.district_no = T2.district_no WHERE T2.district_name = 'Central' AND T1.arrest = 'FALSE'; |
[INST] Here is a database schema:
Community_Area :
community_area_no [ INTEGER ] primary_key
community_area_name [ TEXT ]
side [ TEXT ]
population [ TEXT ]
District :
district_no [ INTEGER ] primary_key
district_name [ TEXT ]
address [ TEXT ]
zip_code [ INTEGER ]
commander [ TEXT ]
email [ TEXT ]
phone [ TEXT ]
fax [ TEXT ]
tty [ TEXT ]
twitter [ TEXT ]
FBI_Code :
fbi_code_no [ TEXT ] primary_key
title [ TEXT ]
description [ TEXT ]
crime_against [ TEXT ]
IUCR :
iucr_no [ TEXT ] primary_key
primary_description [ TEXT ]
secondary_description [ TEXT ]
index_code [ TEXT ]
Neighborhood :
neighborhood_name [ TEXT ] primary_key
community_area_no [ INTEGER ] Neighborhood.community_area_no = Community_Area.community_area_no
Ward :
ward_no [ INTEGER ] primary_key
alderman_first_name [ TEXT ]
alderman_last_name [ TEXT ]
alderman_name_suffix [ TEXT ]
ward_office_address [ TEXT ]
ward_office_zip [ TEXT ]
ward_email [ TEXT ]
ward_office_phone [ TEXT ]
ward_office_fax [ TEXT ]
city_hall_office_room [ INTEGER ]
city_hall_office_phone [ TEXT ]
city_hall_office_fax [ TEXT ]
Population [ INTEGER ]
Crime :
report_no [ INTEGER ] primary_key
case_number [ TEXT ]
date [ TEXT ]
block [ TEXT ]
iucr_no [ TEXT ] Crime.iucr_no = IUCR.iucr_no
location_description [ TEXT ]
arrest [ TEXT ]
domestic [ TEXT ]
beat [ INTEGER ]
district_no [ INTEGER ] Crime.district_no = District.district_no
ward_no [ INTEGER ] Crime.ward_no = Ward.ward_no
community_area_no [ INTEGER ] Crime.community_area_no = Community_Area.community_area_no
fbi_code_no [ TEXT ] Crime.fbi_code_no = FBI_Code.fbi_code_no
latitude [ TEXT ]
longitude [ TEXT ]
Please write me a SQL statement that answers the following question: How many crimes had happened in the community area with the most population? [/INST] | SELECT COUNT(T2.report_no) FROM Community_Area AS T1 INNER JOIN Crime AS T2 ON T1.community_area_no = T2.community_area_no GROUP BY T1.community_area_name ORDER BY T1.population DESC LIMIT 1; |
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