input stringlengths 358 16.1k | output stringlengths 24 805 |
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[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 [ ... | SELECT SUM(CASE WHEN T1.community_area_name = 'Woodlawn' THEN 1 ELSE 0 END) FROM Community_Area AS T1 INNER JOIN Crime AS T2 ON T1.community_area_no = T2.community_area_no WHERE T2.date LIKE '%1/2018%'; |
[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 [ ... | SELECT T1.community_area_name FROM Community_Area AS T1 INNER JOIN Crime AS T2 ON T1.community_area_no = T2.community_area_no WHERE T1.community_area_name IN ('Woodlawn', 'Lincoln Square') AND T2.date LIKE '%1/2018%' GROUP BY T1.community_area_name ORDER BY COUNT(T1.community_area_name) 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 [ ... | SELECT T1.fax FROM District AS T1 INNER JOIN Crime AS T2 ON T1.district_no = T2.district_no WHERE T2.date LIKE '%1/2018%' GROUP BY T2.district_no ORDER BY COUNT(case_number) 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 [ ... | SELECT CAST(COUNT(T1.report_no) AS REAL) / COUNT(T2.community_area_no) FROM Crime AS T1 INNER JOIN Community_Area AS T2 ON T1.community_area_no = T2.community_area_no WHERE T2.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 [ ... | SELECT CAST(SUM(CASE WHEN T2.district_name = 'Central' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T1.case_number) FROM Crime AS T1 INNER JOIN District AS T2 ON T1.district_no = T2.district_no; |
[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 [ ... | SELECT COUNT(*) FROM Community_Area WHERE side = 'Far North '; |
[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 [ ... | SELECT commander FROM District WHERE district_name = 'Morgan 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 [ ... | SELECT T1.district_name FROM District AS T1 INNER JOIN Crime AS T2 ON T1.district_no = T2.district_no WHERE T2.case_number = 'JB100065'; |
[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 [ ... | SELECT T2.district_name FROM Crime AS T1 INNER JOIN District AS T2 ON T1.district_no = T2.district_no WHERE T1.longitude = '-87.63470194' AND T1.latitude = '41.66236555'; |
[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 [ ... | SELECT T1.commander FROM District AS T1 INNER JOIN Crime AS T2 ON T1.district_no = T2.district_no WHERE T2.case_number = 'JB524952'; |
[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 [ ... | SELECT SUM(CASE WHEN T2.secondary_description = 'SIMPLE' THEN 1 ELSE 0 END) FROM Crime AS T1 INNER JOIN IUCR AS T2 ON T1.iucr_no = T2.iucr_no WHERE T1.date LIKE '%9/8/2018%' AND T2.primary_description = 'ASSAULT'; |
[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 [ ... | SELECT T2.district_no FROM IUCR AS T1 INNER JOIN Crime AS T2 ON T1.iucr_no = T2.iucr_no WHERE T1.secondary_description = 'FIRST DEGREE MURDER' GROUP BY T2.district_no ORDER BY COUNT(*) 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 [ ... | SELECT T2.iucr_no FROM Crime AS T1 INNER JOIN IUCR AS T2 ON T1.iucr_no = T2.iucr_no WHERE T1.case_number = 'JB296775'; |
[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 [ ... | SELECT T3.community_area_name FROM IUCR AS T1 INNER JOIN Crime AS T2 ON T1.iucr_no = T2.iucr_no INNER JOIN Community_Area AS T3 ON T2.community_area_no = T3.community_area_no WHERE T1.primary_description = 'THEFT' AND T1.secondary_description = 'POCKET-PICKING' GROUP BY T2.community_area_no ORDER BY T2.case_number DESC... |
[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 [ ... | SELECT T1.alderman_first_name, T1.alderman_last_name FROM Ward AS T1 INNER JOIN Crime AS T2 ON T1.ward_no = T2.ward_no WHERE T2.case_number = 'JB103470'; |
[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 [ ... | SELECT T1.neighborhood_name FROM Neighborhood AS T1 INNER JOIN Community_Area AS T2 ON T1.community_area_no = T2.community_area_no WHERE T2.community_area_name = 'West Englewood'; |
[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 [ ... | SELECT SUM(CASE WHEN T1.community_area_name = 'Roseland' THEN 1 ELSE 0 END) FROM Community_Area AS T1 INNER JOIN Neighborhood AS T2 ON T1.community_area_no = T2.community_area_no; |
[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 [ ... | SELECT description FROM Crime AS T1 INNER JOIN FBI_Code AS T2 ON T1.fbi_code_no = T2.fbi_code_no WHERE T1.case_number = 'JB134191'; |
[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 [ ... | SELECT SUM(CASE WHEN T1.community_area_name = 'North Lawndale' THEN 1 ELSE 0 END) FROM Community_Area AS T1 INNER JOIN Crime AS T2 ON T1.community_area_no = T2.community_area_no WHERE T2.arrest = '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 [ ... | SELECT CAST(SUM(CASE WHEN T2.secondary_description = '$500 AND UNDER' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T1.case_number) FROM Crime AS T1 INNER JOIN IUCR AS T2 ON T1.iucr_no = T2.iucr_no INNER JOIN Community_Area AS T3 ON T1.community_area_no = T3.community_area_no WHERE T2.primary_description = 'THEFT' AND T3.c... |
[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 [ ... | SELECT CAST(SUM(CASE WHEN T3.title = 'Larceny' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T2.case_number) FROM Community_Area AS T1 INNER JOIN Crime AS T2 ON T1.community_area_no = T2.community_area_no INNER JOIN FBI_Code AS T3 ON T2.fbi_code_no = T3.fbi_code_no WHERE T1.community_area_name = 'Edgewater'; |
[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 [ ... | SELECT SUM(CASE WHEN date LIKE '5/%/2018%' THEN 1 ELSE 0 END) FROM Crime WHERE block = '018XX S KOMENSKY AVE'; |
[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 [ ... | SELECT community_area_name FROM Community_Area ORDER BY 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 [ ... | SELECT SUM(CASE WHEN location_description = 'ABANDONED BUILDING' THEN 1 ELSE 0 END) FROM Crime WHERE date LIKE '%2018%' AND 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 [ ... | SELECT SUM(population) FROM Community_Area GROUP BY side ORDER BY SUM(population) 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 [ ... | SELECT SUM(CASE WHEN arrest = 'TRUE' THEN 1 ELSE 0 END) FROM Crime WHERE date LIKE '%2018%' AND location_description = 'ANIMAL HOSPITAL' AND fbi_code_no = '08B'; |
[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 [ ... | SELECT description FROM FBI_Code WHERE crime_against = 'Society'; |
[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 [ ... | SELECT T1.commander FROM District AS T1 INNER JOIN Crime AS T2 ON T1.district_no = T2.district_no INNER JOIN FBI_Code AS T3 ON T2.fbi_code_no = T3.fbi_code_no WHERE T3.title = 'Disorderly Conduct' AND T2.fbi_code_no = 24 GROUP BY T2.fbi_code_no ORDER BY COUNT(T1.district_no) 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 [ ... | SELECT T2.title FROM Crime AS T1 INNER JOIN FBI_Code AS T2 ON T1.fbi_code_no = T2.fbi_code_no ORDER BY T2.fbi_code_no 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 [ ... | SELECT SUM(CASE WHEN T3.title = 'Criminal Sexual Abuse' THEN 1 ELSE 0 END) FROM District AS T1 INNER JOIN Crime AS T2 ON T1.district_no = T2.district_no INNER JOIN FBI_Code AS T3 ON T2.fbi_code_no = T3.fbi_code_no WHERE T1.district_name = 'Albany Park' AND T2.arrest = 'TRUE' AND T2.location_description = 'APARTMENT'; |
[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 [ ... | SELECT T2.latitude, T2.longitude FROM Community_Area AS T1 INNER JOIN Crime AS T2 ON T1.community_area_no = T2.community_area_no INNER JOIN FBI_Code AS T3 ON T2.fbi_code_no = T3.fbi_code_no WHERE T1.community_area_name = 'Rogers Park' AND T3.title = 'Robbery' AND T3.fbi_code_no = 3; |
[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 [ ... | SELECT SUM(CASE WHEN T2.arrest = 'TRUE' THEN 1 ELSE 0 END) FROM Community_Area AS T1 INNER JOIN Crime AS T2 ON T1.community_area_no = T2.community_area_no INNER JOIN IUCR AS T3 ON T2.iucr_no = T3.iucr_no WHERE T1.community_area_name = 'West Garfield Park' AND T3.secondary_description = 'SOLICIT ON PUBLIC WAY' AND T3.pr... |
[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 [ ... | SELECT COUNT(T2.report_no) FROM Ward AS T1 INNER JOIN Crime AS T2 ON T1.ward_no = T2.ward_no WHERE T2.domestic = 'TRUE' AND T2.location_description = 'BAR OR TAVERN' ORDER BY T1.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 [ ... | SELECT SUM(CASE WHEN T1.community_area_name = 'Near North Side' THEN 1 ELSE 0 END) FROM Community_Area AS T1 INNER JOIN Neighborhood AS T2 ON T1.community_area_no = T2.community_area_no; |
[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 [ ... | SELECT SUM(CASE WHEN T2.arrest = 'TRUE' THEN 1 ELSE 0 END) FROM Ward AS T1 INNER JOIN Crime AS T2 ON T1.ward_no = T2.ward_no WHERE T1.alderman_first_name = 'Walter' AND T1.alderman_last_name = 'Burnett' AND alderman_name_suffix = 'Jr.' AND T2.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 [ ... | SELECT T3.title FROM Community_Area AS T1 INNER JOIN Crime AS T2 ON T1.community_area_no = T2.community_area_no INNER JOIN FBI_Code AS T3 ON T2.fbi_code_no = T3.fbi_code_no GROUP BY T3.title ORDER BY T1.population ASC, T3.fbi_code_no 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 [ ... | SELECT T1.ward_office_address FROM Ward AS T1 INNER JOIN Crime AS T2 ON T1.ward_no = T2.ward_no WHERE T2.block = '010XX W LAKE ST' GROUP BY T1.ward_office_address; |
[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 [ ... | SELECT T3.community_area_name FROM Crime AS T1 INNER JOIN IUCR AS T2 ON T1.iucr_no = T2.iucr_no INNER JOIN Community_Area AS T3 ON T1.community_area_no = T3.community_area_no WHERE T2.primary_description = 'PROSTITUTION' GROUP BY T1.iucr_no ORDER BY T1.case_number 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 [ ... | SELECT SUM(CASE WHEN T1.alderman_last_name = 'Burke' THEN 1 ELSE 0 END) FROM Ward AS T1 INNER JOIN Crime AS T2 ON T1.ward_no = T2.ward_no INNER JOIN FBI_Code AS T3 ON T2.fbi_code_no = T3.fbi_code_no WHERE T3.title = 'Vandalism' AND T2.arrest = 'TRUE' AND T1.alderman_first_name = 'Edward'; |
[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 [ ... | SELECT COUNT(*) FROM Crime WHERE date LIKE '5/%/2018%' AND 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 [ ... | SELECT index_code FROM IUCR WHERE primary_description = 'HOMICIDE'; |
[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 [ ... | SELECT commander, email FROM District WHERE district_name = 'Chicago Lawn'; |
[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 [ ... | SELECT alderman_name_suffix, alderman_first_name, alderman_last_name FROM Ward ORDER BY 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 [ ... | SELECT community_area_name FROM Community_Area WHERE side = 'Northwest'; |
[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 [ ... | SELECT title, description FROM FBI_Code WHERE crime_against = 'Persons'; |
[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 [ ... | SELECT T1.secondary_description, T2.latitude, T2.longitude FROM IUCR AS T1 INNER JOIN Crime AS T2 ON T1.iucr_no = T2.iucr_no WHERE T2.iucr_no = 142; |
[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 [ ... | SELECT SUM(CASE WHEN T2.alderman_last_name = 'Reilly' THEN 1 ELSE 0 END) FROM Crime AS T1 INNER JOIN Ward AS T2 ON T1.ward_no = T2.ward_no WHERE T2.alderman_name_suffix IS NULL AND T2.alderman_first_name = 'Brendan' AND date LIKE '10/7/2018%'; |
[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 [ ... | SELECT SUM(CASE WHEN T1.arrest = 'TRUE' THEN 1 ELSE 0 END) FROM Crime AS T1 INNER JOIN District AS T2 ON T1.district_no = T2.district_no WHERE T2.district_name = 'Englewood' AND T1.location_description = 'RESTAURANT'; |
[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 [ ... | SELECT T2.case_number, T3.alderman_first_name, T3.alderman_last_name, T1.district_name FROM District AS T1 INNER JOIN Crime AS T2 ON T1.district_no = T2.district_no INNER JOIN Ward AS T3 ON T2.ward_no = T3.ward_no WHERE T2.block = '0000X N FRANCISCO AVE' GROUP BY T2.case_number, T3.alderman_first_name, T3.alderman_last... |
[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 [ ... | SELECT SUM(CASE WHEN T1.title = 'Misc Non-Index Offense' THEN 1 ELSE 0 END) FROM FBI_Code AS T1 INNER JOIN Crime AS T2 ON T2.fbi_code_no = T1.fbi_code_no; |
[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 [ ... | SELECT T2.neighborhood_name FROM Community_Area AS T1 INNER JOIN Neighborhood AS T2 ON T2.community_area_no = T1.community_area_no WHERE T1.community_area_name = 'Douglas'; |
[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 [ ... | SELECT CAST(COUNT(T2.report_no) AS REAL) / 12 FROM Community_Area AS T1 INNER JOIN Crime AS T2 ON T2.community_area_no = T1.community_area_no GROUP BY T1.community_area_no HAVING COUNT(T1.population) ORDER BY COUNT(T1.population) 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 [ ... | SELECT CAST(COUNT(CASE WHEN T3.title = 'Larceny' THEN T2.report_no END) AS REAL) * 100 / COUNT(T2.report_no) FROM Community_Area AS T1 INNER JOIN Crime AS T2 ON T2.community_area_no = T1.community_area_no INNER JOIN FBI_Code AS T3 ON T3.fbi_code_no = T2.fbi_code_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 [ ... | SELECT T2.location_description, T1.alderman_first_name, T1.alderman_last_name, T1.alderman_name_suffix FROM Ward AS T1 INNER JOIN Crime AS T2 ON T2.ward_no = T1.ward_no INNER JOIN IUCR AS T3 ON T3.iucr_no = T2.iucr_no WHERE T3.primary_description = 'ARSON' AND T3.secondary_description = 'BY EXPLOSIVE'; |
[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 [ ... | SELECT T2.date, T2.latitude, T2.longitude FROM IUCR AS T1 INNER JOIN Crime AS T2 ON T2.iucr_no = T1.iucr_no WHERE T1.primary_description = 'DECEPTIVE PRACTICE' AND T1.secondary_description = 'UNLAWFUL USE OF RECORDED SOUND'; |
[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 [ ... | SELECT COUNT(T2.report_no) FROM District AS T1 INNER JOIN Crime AS T2 ON T2.district_no = T1.district_no INNER JOIN FBI_Code AS T3 ON T3.fbi_code_no = T2.fbi_code_no WHERE T3.title = 'Criminal Sexual Assault' AND T1.commander = 'Adnardo Gutierrez' AND T2.location_description = 'RESIDENCE'; |
[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 [ ... | SELECT CAST(COUNT(CASE WHEN T2.arrest = 'TRUE' THEN T2.report_no END) AS REAL) * 100 / COUNT(T2.report_no) FROM Community_Area AS T1 INNER JOIN Crime AS T2 ON T2.community_area_no = T1.community_area_no WHERE T1.community_area_name = 'West Pullman' AND T2.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 [ ... | SELECT CAST(COUNT(CASE WHEN T1.domestic = 'TRUE' THEN T1.report_no END) AS REAL) * 100 / COUNT(T1.report_no), COUNT(CASE WHEN T1.domestic = 'TRUE' AND T1.location_description = 'BANK' THEN T1.report_no END) AS "number" FROM Crime AS T1 INNER JOIN Ward AS T2 ON T2.ward_no = T1.ward_no WHERE T2.alderman_first_name = 'Chr... |
[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 [ ... | SELECT COUNT(*) FROM Ward WHERE alderman_first_name = 'James'; |
[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 [ ... | SELECT COUNT(*) FROM Crime WHERE date LIKE '1/1/2018%'; |
[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 [ ... | SELECT AVG(population) FROM Community_Area WHERE side = 'West '; |
[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 [ ... | SELECT T2.report_no FROM Ward AS T1 INNER JOIN Crime AS T2 ON T2.ward_no = T1.ward_no INNER JOIN Community_Area AS T3 ON T3.community_area_no = T2.community_area_no WHERE T1.alderman_first_name = 'Edward' AND T1.alderman_last_name = 'Burke' ORDER BY T2.beat DESC, T3.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 [ ... | SELECT SUM(CASE WHEN T2.location_description = 'STREET' THEN 1 ELSE 0 END) FROM FBI_Code AS T1 INNER JOIN Crime AS T2 ON T2.fbi_code_no = T1.fbi_code_no WHERE T1.title = 'Homicide 1st & 2nd Degree'; |
[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 [ ... | SELECT T2.alderman_first_name, T2.alderman_last_name FROM Crime AS T1 INNER JOIN Ward AS T2 ON T2.ward_no = T1.ward_no WHERE T1.report_no = 23769; |
[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 [ ... | SELECT T2.case_number FROM Community_Area AS T1 INNER JOIN Crime AS T2 ON T2.community_area_no = T1.community_area_no WHERE T1.community_area_name = 'Lincoln Square' AND T2.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 [ ... | SELECT T1.case_number FROM Crime AS T1 INNER JOIN Ward AS T2 ON T2.ward_no = T1.ward_no WHERE T1.location_description = 'APARTMENT' AND T2.ward_office_address = '1958 N. Milwaukee Ave.'; |
[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 [ ... | SELECT SUM(CASE WHEN T2.beat < 1000 THEN 1 ELSE 0 END) FROM Community_Area AS T1 INNER JOIN Crime AS T2 ON T2.community_area_no = T1.community_area_no WHERE T1.community_area_name = 'Bridgeport'; |
[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 [ ... | SELECT SUM(CASE WHEN T1.population > 60000 THEN 1 ELSE 0 END) FROM Community_Area AS T1 INNER JOIN Crime AS T2 ON T2.community_area_no = T1.community_area_no WHERE T1.side = 'Far North '; |
[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 [ ... | SELECT SUM(CASE WHEN T1.crime_against = 'Property' THEN 1 ELSE 0 END) FROM FBI_Code AS T1 INNER JOIN Crime AS T2 ON T2.fbi_code_no = T1.fbi_code_no INNER JOIN Community_Area AS T3 ON T3.community_area_no = T2.community_area_no WHERE T3.community_area_name = 'Riverdale'; |
[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 [ ... | SELECT SUM(CASE WHEN T2.domestic = 'TRUE' THEN 1 ELSE 0 END) FROM Ward AS T1 INNER JOIN Crime AS T2 ON T2.ward_no = T1.ward_no WHERE T1.ward_email = 'ward13@cityofchicago.org'; |
[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 [ ... | SELECT T1.address FROM District AS T1 INNER JOIN Crime AS T2 ON T2.district_no = T1.district_no WHERE T2.case_number = 'JB107731'; |
[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 [ ... | SELECT 1.0 * SUM(CASE WHEN T1.population > 50000 THEN T2.beat ELSE 0 END) AS sum FROM Community_Area AS T1 INNER JOIN Crime AS T2 ON T2.community_area_no = T1.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 [ ... | SELECT T2.case_number FROM FBI_Code AS T1 INNER JOIN Crime AS T2 ON T2.fbi_code_no = T1.fbi_code_no WHERE T2.date LIKE '6/%/2018%' AND T1.crime_against = 'Society'; |
[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 [ ... | SELECT CAST(COUNT(CASE WHEN T2.domestic = 'TRUE' THEN T2.domestic END) AS REAL) * 100 / COUNT(T2.domestic) FROM Community_Area AS T1 INNER JOIN Crime AS T2 ON T2.community_area_no = T1.community_area_no GROUP BY T1.community_area_no HAVING COUNT(T1.population) ORDER BY COUNT(T1.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 [ ... | SELECT COUNT(T1.report_no) FROM Crime AS T1 INNER JOIN Ward AS T2 ON T1.ward_no = T2.ward_no WHERE T2.Population < 52000 AND T1.beat > ( SELECT AVG(T1.beat) * 0.9 FROM Crime AS T1 INNER JOIN Ward AS T2 ON T1.ward_no = T2.ward_no WHERE T2.Population < 52000 ); |
[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 [ ... | SELECT community_area_name, side FROM Community_Area WHERE side = 'Far North ' AND population BETWEEN 50000 AND 70000; |
[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 [ ... | SELECT latitude, longitude FROM Crime WHERE location_description = 'ALLEY' AND arrest = 'TRUE' GROUP BY latitude, longitude; |
[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 [ ... | SELECT commander, email, phone FROM District WHERE district_name = 'Ogden'; |
[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 [ ... | SELECT fbi_code_no, description FROM FBI_Code WHERE title = 'Gambling'; |
[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 [ ... | SELECT CAST(COUNT(CASE WHEN index_code = 'I' THEN iucr_no ELSE NULL END) AS REAL) * 100 / COUNT(iucr_no) FROM IUCR; |
[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 [ ... | SELECT T2.location_description FROM District AS T1 INNER JOIN Crime AS T2 ON T2.district_no = T1.district_no WHERE T1.district_name = 'Austin' GROUP BY T2.location_description ORDER BY COUNT(T2.case_number) 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 [ ... | SELECT CAST(COUNT(T1.ward_no) AS REAL) / COUNT(DISTINCT T3.side) FROM Ward AS T1 INNER JOIN Crime AS T2 ON T2.ward_no = T1.ward_no INNER JOIN Community_Area AS T3 ON T3.community_area_no = T2.community_area_no; |
[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 [ ... | SELECT T1.community_area_no FROM Community_Area AS T1 INNER JOIN Crime AS T2 ON T2.community_area_no = T1.community_area_no WHERE T2.location_description = 'STREET' GROUP BY T1.community_area_no ORDER BY COUNT(T2.location_description) 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 [ ... | SELECT CAST(COUNT(T2.report_no) AS REAL) / COUNT(DISTINCT T1.district_name) FROM District AS T1 INNER JOIN Crime AS T2 ON T2.district_no = T1.district_no INNER JOIN IUCR AS T3 ON T3.iucr_no = T2.iucr_no WHERE T3.secondary_description = 'RECKLESS HOMICIDE'; |
[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 [ ... | SELECT T2.ward_office_address, T2.ward_office_phone FROM Crime AS T1 INNER JOIN Ward AS T2 ON T2.ward_no = T1.ward_no WHERE T1.arrest = 'FALSE' GROUP BY T2.ward_office_address, T2.ward_office_phone ORDER BY COUNT(T1.arrest) 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 [ ... | SELECT T1.case_number, T1.latitude, T1.longitude FROM Crime AS T1 INNER JOIN IUCR AS T2 ON T2.iucr_no = T1.iucr_no WHERE T2.secondary_description = 'CHILD ABDUCTION'; |
[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 [ ... | SELECT T3.secondary_description FROM Community_Area AS T1 INNER JOIN Crime AS T2 ON T2.community_area_no = T1.community_area_no INNER JOIN IUCR AS T3 ON T3.iucr_no = T2.iucr_no WHERE T1.side = 'Northwest ' GROUP BY T3.secondary_description ORDER BY COUNT(*) 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 [ ... | SELECT T2.community_area_no FROM Crime AS T1 INNER JOIN Community_Area AS T2 ON T2.community_area_no = T1.community_area_no WHERE T1.domestic = 'TRUE' GROUP BY T2.community_area_no ORDER BY COUNT(T2.community_area_no) 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 [ ... | SELECT CAST(COUNT(CASE WHEN T1.secondary_description LIKE '%CANNABIS%' THEN T1.secondary_description END) AS REAL) * 100 / COUNT(T1.secondary_description) FROM IUCR AS T1 INNER JOIN Crime AS T2 ON T2.iucr_no = T1.iucr_no INNER JOIN FBI_Code AS T3 ON T3.fbi_code_no = T2.fbi_code_no WHERE T3.title = 'Drug Abuse'; |
[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 [ ... | SELECT CAST(COUNT(T2.case_number) AS REAL) / 28 FROM IUCR AS T1 INNER JOIN Crime AS T2 ON T2.iucr_no = T1.iucr_no WHERE T2.date LIKE '2/%/2018%' AND T1.index_code = 'N'; |
[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 [ ... | SELECT T2.community_area_name, T2.population FROM Crime AS T1 INNER JOIN Community_Area AS T2 ON T2.community_area_no = T1.community_area_no INNER JOIN IUCR AS T3 ON T3.iucr_no = T1.iucr_no WHERE T3.iucr_no = ( SELECT iucr_no FROM IUCR WHERE secondary_description = 'SOLICIT FOR PROSTITUTE' GROUP BY iucr_no HAVING COUNT... |
[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 [ ... | SELECT COUNT(CASE WHEN T3.title = 'Disorderly Conduct' THEN T2.report_no END) * 100.0 / COUNT(T2.report_no) AS per FROM District AS T1 INNER JOIN Crime AS T2 ON T2.district_no = T1.district_no INNER JOIN FBI_Code AS T3 ON T3.fbi_code_no = T2.fbi_code_no WHERE T1.district_name = 'Harrison'; |
[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 [ ... | SELECT ROUND(CAST(COUNT(CASE WHEN T1.secondary_description = 'VEHICULAR HIJACKING' THEN T1.iucr_no END) AS REAL) / CAST(COUNT(DISTINCT CASE WHEN T1.secondary_description = 'VEHICULAR HIJACKING' THEN T3.district_name END) AS REAL) - CAST(COUNT(CASE WHEN T1.secondary_description = 'AGGRAVATED VEHICULAR HIJACKING' THEN T1... |
[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 [ ... | SELECT COUNT(*) FROM Crime WHERE longitude = '-87.72658001'; |
[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 [ ... | SELECT secondary_description FROM IUCR WHERE primary_description = 'NARCOTICS' GROUP BY secondary_description; |
[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 [ ... | SELECT alderman_first_name FROM Ward WHERE Population > 50000; |
[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 [ ... | SELECT T2.report_no FROM FBI_Code AS T1 INNER JOIN Crime AS T2 ON T2.fbi_code_no = T1.fbi_code_no WHERE T1.title = 'Drug Abuse'; |
[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 [ ... | SELECT SUM(CASE WHEN T3.district_name = 'Calumet' THEN 1 ELSE 0 END) FROM IUCR AS T1 INNER JOIN Crime AS T2 ON T2.iucr_no = T1.iucr_no INNER JOIN District AS T3 ON T3.district_no = T2.district_no WHERE T1.primary_description = 'WEAPONS VIOLATION'; |
[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 [ ... | SELECT T2.latitude, T2.longitude FROM Community_Area AS T1 INNER JOIN Crime AS T2 ON T2.community_area_no = T1.community_area_no WHERE T1.community_area_name = 'Belmont Cragin' GROUP BY T2.latitude, T2.longitude; |
[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 [ ... | SELECT SUM(CASE WHEN T4.neighborhood_name = 'Hermosa' THEN 1 ELSE 0 END) FROM IUCR AS T1 INNER JOIN Crime AS T2 ON T2.iucr_no = T1.iucr_no INNER JOIN Community_Area AS T3 ON T3.community_area_no = T2.community_area_no INNER JOIN Neighborhood AS T4 ON T4.community_area_no = T3.community_area_no; |
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