input stringlengths 358 16.1k | output stringlengths 24 805 |
|---|---|
[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 District AS T1 INNER JOIN Crime AS T2 ON T2.district_no = T1.district_no WHERE T1.commander = 'Ronald A. Pontecore Jr.'; |
[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 = 'Society' 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 District AS T3 ON T3.district_no = T2.district_no WHERE T3.district_name = 'Wentworth'; |
[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.phone FROM Ward AS T1 INNER JOIN Crime AS T2 ON T2.ward_no = T1.ward_no INNER JOIN District AS T3 ON T3.district_no = T2.district_no WHERE T1.alderman_first_name = 'Emma' AND T1.alderman_last_name = 'Mitts'; |
[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.community_area_name = 'Lake View' 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 T1.description = 'The theft of a motor vehicle.'; |
[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.district_name 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 = 'INTIMIDATION' GROUP BY T3.district_name ORDER BY COUNT(T1.primary_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 T2.domestic FROM Community_Area AS T1 INNER JOIN Crime AS T2 ON T2.community_area_no = T1.community_area_no WHERE T1.community_area_name = 'North Lawndale' AND T2.domestic = 'TRUE' GROUP BY T2.domestic ORDER BY COUNT(T2.domestic) 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 T3.ward_no FROM IUCR AS T1 INNER JOIN Crime AS T2 ON T2.iucr_no = T1.iucr_no INNER JOIN Ward AS T3 ON T3.ward_no = T2.ward_no WHERE T1.primary_description = 'INTIMIDATION' AND T1.secondary_description = 'EXTORTION' AND T3.Population > 55000 GROUP BY T3.ward_no ORDER BY COUNT(T3.ward_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 T3.commander 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.secondary_description = 'CRIMINAL SEXUAL ABUSE' GROUP BY T3.commander ORDER BY COUNT(T1.secondary_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(CASE WHEN T2.domestic = 'FALSE' THEN T2.case_number END) AS REAL) * 100 / COUNT(T2.case_number) FROM District AS T1 INNER JOIN Crime AS T2 ON T2.district_no = T1.district_no WHERE T1.district_name = 'Jefferson 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 AVG(T2.Population) FROM Crime AS T1 INNER JOIN Ward AS T2 ON T2.ward_no = T1.ward_no WHERE T1.location_description = 'APARTMENT' 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 [ ... | SELECT alderman_first_name, alderman_last_name FROM Ward ORDER BY Population DESC LIMIT 5; |
[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(*) AS cnt FROM FBI_Code WHERE crime_against = 'Property'; |
[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(*) AS cnt FROM District WHERE zip_code = 60608; |
[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 crime_against FROM FBI_Code WHERE title = 'Criminal Sexual 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 T1.community_area_name FROM Community_Area AS T1 INNER JOIN Neighborhood AS T2 ON T1.community_area_no = T2.community_area_no ORDER BY T2.community_area_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 T1.longitude = '-87.54430496' THEN 1 ELSE 0 END) FROM Crime AS T1 INNER JOIN IUCR AS T2 ON T1.report_no = T2.iucr_no WHERE T2.index_code = 'I' AND T1.latitude = '41.64820251'; |
[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.commander FROM Crime AS T1 INNER JOIN District AS T2 ON T1.district_no = T2.district_no WHERE T1.arrest = 'FALSE' GROUP BY T2.commander ORDER BY COUNT(T1.report_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.primary_description, T2.secondary_description FROM Crime AS T1 INNER JOIN IUCR AS T2 ON T1.iucr_no = T2.iucr_no WHERE T1.location_description = 'AIRCRAFT' GROUP BY T1.iucr_no ORDER BY COUNT(T1.iucr_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.district_name FROM District AS T1 INNER JOIN Crime AS T2 ON T1.district_no = T2.district_no WHERE T1.district_name IN ('Deering', 'Near West') AND T2.location_description = 'LIBRARY' GROUP BY T1.district_name ORDER BY COUNT(T2.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 SUM(CASE WHEN T2.arrest = 'TRUE' THEN 1 ELSE 0 END) FROM IUCR AS T1 INNER JOIN Crime AS T2 ON T1.iucr_no = T2.iucr_no WHERE T2.location_description = 'DAY CARE CENTER' AND T1.secondary_description = 'FORCIBLE ENTRY' AND T1.primary_description = 'BURGLARY'; |
[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.domestic = 'TRUE' GROUP BY T2.district_name 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.location_description FROM Community_Area AS T1 INNER JOIN Crime AS T2 ON T1.community_area_no = T2.community_area_no WHERE T1.population = ( SELECT MIN(population) FROM Community_Area ) AND T2.location_description IS NOT NULL GROUP BY T2.location_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 SUM(CASE WHEN T1.description LIKE '%The violation of laws%' THEN 1 ELSE 0 END) FROM FBI_Code AS T1 INNER JOIN Crime AS T2 ON T1.fbi_code_no = T2.fbi_code_no WHERE T2.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 [ ... | SELECT T2.latitude, T2.longitude FROM FBI_Code AS T1 INNER JOIN Crime AS T2 ON T1.fbi_code_no = T2.fbi_code_no INNER JOIN Community_Area AS T3 ON T2.community_area_no = T3.community_area_no WHERE T1.title = 'Simple Assault' AND T3.community_area_name = 'Chatham' AND T3.community_area_no = 44 ORDER BY T2.latitude 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 T3.community_area_name FROM FBI_Code AS T1 INNER JOIN Crime AS T2 ON T1.fbi_code_no = T2.fbi_code_no INNER JOIN Community_Area AS T3 ON T2.community_area_no = T3.community_area_no WHERE T3.side = 'South' AND T1.description = 'The unlawful taking, carrying, leading, or riding away of property FROM the possession ... |
[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.community_area_name = 'Englewood' THEN 1 ELSE 0 END) FROM FBI_Code AS T1 INNER JOIN Crime AS T2 ON T1.fbi_code_no = T2.fbi_code_no INNER JOIN Community_Area AS T3 ON T2.community_area_no = T3.community_area_no WHERE 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(T1.fbi_code_no) AS REAL) / 4 FROM FBI_Code AS T1 INNER JOIN Crime AS T2 ON T1.fbi_code_no = T2.fbi_code_no WHERE SUBSTR(T2.date, 1, 1) = '1' AND SUBSTR(T2.date, 5, 4) = '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 community_area_name FROM Community_Area WHERE population > 50000 LIMIT 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 community_area_name 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 [ ... | SELECT SUM(CASE WHEN side = 'South ' THEN 1 ELSE 0 END) - SUM(CASE WHEN side = 'North' THEN 1 ELSE 0 END) AS DIFF FROM Community_Area WHERE population > 300000; |
[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 phone, fax, tty, twitter FROM District WHERE district_name = 'Near 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 commander FROM District WHERE district_name = 'Lincoln'; |
[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 primary_description, secondary_description FROM IUCR WHERE iucr_no = 275; |
[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 primary_description = 'CRIM SEXUAL ASSAULT' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(*) FROM IUCR WHERE index_code = 'I'; |
[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 T1.community_area_no = T2.community_area_no WHERE T1.community_area_name = 'North Center'; |
[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.community_area_name = 'Forest Glen' THEN 1 ELSE 0 END) FROM Neighborhood AS T1 INNER JOIN Community_Area 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(T2.population) AS sum FROM Neighborhood AS T1 INNER JOIN Community_Area AS T2 ON T1.community_area_no = T2.community_area_no WHERE T1.neighborhood_name = 'Avondale Gardens' OR T1.neighborhood_name = 'Irving Park' OR T1.neighborhood_name = 'Kilbourn Park' OR T1.neighborhood_name = 'Merchant Park' OR T1.neighb... |
[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.title = 'Weapons Violation' THEN 1 ELSE 0 END) FROM Crime AS T1 INNER JOIN FBI_Code AS T2 ON T1.fbi_code_no = T2.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.case_number FROM FBI_Code AS T1 INNER JOIN Crime AS T2 ON T1.fbi_code_no = T2.fbi_code_no WHERE T1.title = 'Criminal Sexual Assault' AND T2.arrest = 'TRUE' AND T1.crime_against = 'Persons' LIMIT 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 T1.case_number FROM Crime AS T1 INNER JOIN FBI_Code AS T2 ON T1.fbi_code_no = T2.fbi_code_no WHERE T2.title = 'Criminal Sexual Assault' AND T2.crime_against = 'Persons' AND T1.arrest = 'TRUE' LIMIT 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 T1.primary_description FROM IUCR AS T1 INNER JOIN Crime AS T2 ON T1.iucr_no = T2.iucr_no WHERE T2.case_number = 'JB106010'; |
[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 FBI_Code AS T1 INNER JOIN Crime AS T2 ON T1.fbi_code_no = T2.fbi_code_no INNER JOIN Community_Area AS T3 ON T2.community_area_no = T3.community_area_no WHERE T1.title = 'Criminal Sexual Assault' LIMIT 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 T1.fbi_code_no, T1.title FROM FBI_Code AS T1 INNER JOIN Crime AS T2 ON T1.fbi_code_no = T2.fbi_code_no INNER JOIN Community_Area AS T3 ON T2.community_area_no = T3.community_area_no WHERE T3.community_area_name = 'Rogers Park' GROUP BY T1.fbi_code_no, T1.title; |
[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_no, T1.district_name FROM District AS T1 INNER JOIN Crime AS T2 ON T1.district_no = T2.district_no WHERE T2.case_number = 'JB120039' GROUP BY T1.district_no, T1.district_name; |
[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.title = 'Drug Abuse' AND T1.location_description = 'STREET' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T1.fbi_code_no) FROM Crime AS T1 INNER JOIN FBI_Code AS T2 ON T1.fbi_code_no = T2.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 ward_no 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 beat, location_description FROM Crime WHERE case_number = 'JB112212'; |
[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 FROM FBI_Code WHERE description = 'The killing of one human being by another.'; |
[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.ward_office_address FROM Community_Area AS T1 INNER JOIN Crime AS T2 ON T1.community_area_no = T2.community_area_no INNER JOIN Ward AS T3 ON T2.ward_no = T3.ward_no WHERE T1.community_area_name = 'Montclare' GROUP BY T3.ward_office_address LIMIT 5; |
[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.address, T2.commander FROM Crime AS T1 INNER JOIN District AS T2 ON T1.district_no = T2.district_no WHERE T1.location_description = 'YARD' AND T1.beat = 532; |
[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 T1.community_area_no = T2.community_area_no WHERE T1.community_area_name = 'Lake View'; |
[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.neighborhood_name FROM Community_Area AS T1 INNER JOIN Crime AS T2 ON T1.community_area_no = T2.community_area_no INNER JOIN Neighborhood AS T3 ON T2.community_area_no = T3.community_area_no WHERE T2.report_no = 23778; |
[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.description FROM FBI_Code AS T1 INNER JOIN Crime AS T2 ON T1.fbi_code_no = T2.fbi_code_no WHERE T2.report_no = 23843; |
[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.commander = 'Jill M. Stevens' THEN 1 ELSE 0 END) FROM District AS T1 INNER JOIN Crime 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 CAST(SUM(CASE WHEN T2.location_description = 'HOUSE' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T2.location_description) AS persent FROM Community_Area AS T1 INNER JOIN Crime AS T2 ON T1.community_area_no = T2.community_area_no INNER JOIN Neighborhood AS T3 ON T2.community_area_no = T3.community_area_no WHERE 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 [ ... | SELECT alderman_first_name, alderman_last_name, alderman_name_suffix FROM Ward WHERE ward_no = 21; |
[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 ward_no 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 COUNT(*) FROM IUCR WHERE 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 COUNT(*) FROM IUCR WHERE index_code = 'I'; |
[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 = 'Dowell' THEN 1 ELSE 0 END) FROM Ward AS T1 INNER JOIN Crime AS T2 ON T1.ward_no = T2.ward_no WHERE T2.arrest = 'FALSE' AND T1.alderman_first_name = 'Pat'; |
[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_no, T1.alderman_first_name, T1.alderman_last_name, T1.alderman_name_suffix FROM Ward AS T1 INNER JOIN Crime AS T2 ON T1.ward_no = T2.ward_no WHERE SUBSTR(T2.date, 1, 1) = '1' AND SUBSTR(T2.date, 5, 4) = '2018' GROUP BY T1.ward_no ORDER BY COUNT(T1.ward_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 COUNT(T1.ward_no) AS num FROM Ward AS T1 INNER JOIN Crime AS T2 ON T1.ward_no = T2.ward_no WHERE T2.domestic = 'TRUE' ORDER BY T1.Population = ( SELECT Population 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 T2.latitude, T2.longitude FROM Ward AS T1 INNER JOIN Crime AS T2 ON T1.ward_no = T2.ward_no WHERE T1.alderman_first_name = 'Pat' AND T1.alderman_last_name = 'Dowell' AND T2.latitude IS NOT NULL AND T2.longitude IS NOT NULL; |
[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, COUNT(T1.ward_no) AS num FROM Ward AS T1 INNER JOIN Crime AS T2 ON T1.ward_no = T2.ward_no WHERE (SUBSTR(T2.date, 1, 1) = '1' AND SUBSTR(T2.date, 5, 4) = '2018' AND T1.alderman_first_name = 'Pat' AND T1.alderman_last_name = 'Dowell') OR (T1.alderman_first_name = 'So... |
[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 IUCR AS T1 INNER JOIN Crime AS T2 ON T1.iucr_no = T2.iucr_no WHERE T1.primary_description = 'BATTERY'; |
[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 = 'FALSE' THEN 1 ELSE 0 END) FROM IUCR AS T1 INNER JOIN Crime AS T2 ON T1.iucr_no = T2.iucr_no WHERE T1.primary_description = 'BATTERY'; |
[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 T1.fbi_code_no = T2.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 SUM(CASE WHEN SUBSTR(T2.date, 5, 4) = '2018' THEN 1 ELSE 0 END) FROM FBI_Code AS T1 INNER JOIN Crime AS T2 ON T1.fbi_code_no = T2.fbi_code_no WHERE T1.crime_against = 'Property' AND SUBSTR(T2.date, 1, 1) = '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 SUBSTR(T2.date, 5, 4) = '2018' THEN 1 ELSE 0 END) FROM District AS T1 INNER JOIN Crime AS T2 ON T1.district_no = T2.district_no WHERE T1.commander = 'Robert A. Rubio' AND SUBSTR(T2.date, 1, 1) = '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.commander FROM District AS T1 INNER JOIN Crime AS T2 ON T1.district_no = T2.district_no WHERE T1.commander IN ('Robert A. Rubio', 'Glenn White') AND SUBSTR(T2.date, 1, 1) = '1' AND SUBSTR(T2.date, 5, 4) = '2018' GROUP BY T1.commander; |
[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.block FROM District AS T1 INNER JOIN Crime AS T2 ON T1.district_no = T2.district_no WHERE T1.commander = 'Robert A. Rubio'; |
[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.ward_no) / 12 AS average FROM Ward AS T1 INNER JOIN Crime AS T2 ON T1.ward_no = T2.ward_no WHERE T2.date LIKE '%2018%' AND T1.Population = ( SELECT MAX(T1.Population) FROM Ward AS T1 INNER JOIN Crime AS T2 ON T1.ward_no = T2.ward_no WHERE T2.date LIKE '%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 CAST(SUM(CASE WHEN T1.primary_description = 'BATTERY' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(*)FROM IUCR AS T1 INNER JOIN Crime AS T2 ON T1.iucr_no = T2.iucr_no WHERE T2.arrest = 'FALSE'; |
[INST] Here is a database schema:
businesses :
business_id [ INTEGER ] primary_key
name [ TEXT ]
address [ TEXT ]
city [ TEXT ]
postal_code [ TEXT ]
latitude [ REAL ]
longitude [ REAL ]
phone_number [ INTEGER ]
tax_code [ TEXT ]
business_certificate [ INTEGER ]
application_date [ DATE ]
owner_name [ TEXT ]
owner_addres... | SELECT COUNT(owner_state) FROM businesses WHERE owner_state = 'CA'; |
[INST] Here is a database schema:
businesses :
business_id [ INTEGER ] primary_key
name [ TEXT ]
address [ TEXT ]
city [ TEXT ]
postal_code [ TEXT ]
latitude [ REAL ]
longitude [ REAL ]
phone_number [ INTEGER ]
tax_code [ TEXT ]
business_certificate [ INTEGER ]
application_date [ DATE ]
owner_name [ TEXT ]
owner_addres... | SELECT COUNT(score) FROM inspections WHERE score = 100; |
[INST] Here is a database schema:
businesses :
business_id [ INTEGER ] primary_key
name [ TEXT ]
address [ TEXT ]
city [ TEXT ]
postal_code [ TEXT ]
latitude [ REAL ]
longitude [ REAL ]
phone_number [ INTEGER ]
tax_code [ TEXT ]
business_certificate [ INTEGER ]
application_date [ DATE ]
owner_name [ TEXT ]
owner_addres... | SELECT COUNT(`date`) FROM inspections WHERE STRFTIME('%Y', `date`) = '2016' AND type = 'Routine - Unscheduled'; |
[INST] Here is a database schema:
businesses :
business_id [ INTEGER ] primary_key
name [ TEXT ]
address [ TEXT ]
city [ TEXT ]
postal_code [ TEXT ]
latitude [ REAL ]
longitude [ REAL ]
phone_number [ INTEGER ]
tax_code [ TEXT ]
business_certificate [ INTEGER ]
application_date [ DATE ]
owner_name [ TEXT ]
owner_addres... | SELECT DISTINCT T2.name FROM inspections AS T1 INNER JOIN businesses AS T2 ON T1.business_id = T2.business_id WHERE T1.score = 100; |
[INST] Here is a database schema:
businesses :
business_id [ INTEGER ] primary_key
name [ TEXT ]
address [ TEXT ]
city [ TEXT ]
postal_code [ TEXT ]
latitude [ REAL ]
longitude [ REAL ]
phone_number [ INTEGER ]
tax_code [ TEXT ]
business_certificate [ INTEGER ]
application_date [ DATE ]
owner_name [ TEXT ]
owner_addres... | SELECT COUNT(DISTINCT T2.business_id) FROM inspections AS T1 INNER JOIN businesses AS T2 ON T1.business_id = T2.business_id WHERE STRFTIME('%Y', T1.`date`) = '2016' AND T2.city IN ('San Francisco', 'SAN FRANCISCO', 'SF', 'S.F.'); |
[INST] Here is a database schema:
businesses :
business_id [ INTEGER ] primary_key
name [ TEXT ]
address [ TEXT ]
city [ TEXT ]
postal_code [ TEXT ]
latitude [ REAL ]
longitude [ REAL ]
phone_number [ INTEGER ]
tax_code [ TEXT ]
business_certificate [ INTEGER ]
application_date [ DATE ]
owner_name [ TEXT ]
owner_addres... | SELECT T1.type FROM inspections AS T1 INNER JOIN businesses AS T2 ON T1.business_id = T2.business_id WHERE T1.`date` = '2014-01-14' AND T2.name = 'Tiramisu Kitchen'; |
[INST] Here is a database schema:
businesses :
business_id [ INTEGER ] primary_key
name [ TEXT ]
address [ TEXT ]
city [ TEXT ]
postal_code [ TEXT ]
latitude [ REAL ]
longitude [ REAL ]
phone_number [ INTEGER ]
tax_code [ TEXT ]
business_certificate [ INTEGER ]
application_date [ DATE ]
owner_name [ TEXT ]
owner_addres... | SELECT COUNT(T1.business_id) FROM violations AS T1 INNER JOIN businesses AS T2 ON T1.business_id = T2.business_id WHERE T1.`date` = '2014-01-14' AND T2.name = 'Tiramisu Kitchen' AND T1.risk_category = 'Low Risk'; |
[INST] Here is a database schema:
businesses :
business_id [ INTEGER ] primary_key
name [ TEXT ]
address [ TEXT ]
city [ TEXT ]
postal_code [ TEXT ]
latitude [ REAL ]
longitude [ REAL ]
phone_number [ INTEGER ]
tax_code [ TEXT ]
business_certificate [ INTEGER ]
application_date [ DATE ]
owner_name [ TEXT ]
owner_addres... | SELECT DISTINCT T2.name FROM violations AS T1 INNER JOIN businesses AS T2 ON T1.business_id = T2.business_id WHERE STRFTIME('%Y', T1.`date`) = '2014' AND T1.risk_category = 'Low Risk'; |
[INST] Here is a database schema:
businesses :
business_id [ INTEGER ] primary_key
name [ TEXT ]
address [ TEXT ]
city [ TEXT ]
postal_code [ TEXT ]
latitude [ REAL ]
longitude [ REAL ]
phone_number [ INTEGER ]
tax_code [ TEXT ]
business_certificate [ INTEGER ]
application_date [ DATE ]
owner_name [ TEXT ]
owner_addres... | SELECT T1.description FROM violations AS T1 INNER JOIN businesses AS T2 ON T1.business_id = T2.business_id WHERE T1.`date` = '2014-01-14' AND T2.name = 'Tiramisu Kitchen' AND T1.risk_category = 'Low Risk'; |
[INST] Here is a database schema:
businesses :
business_id [ INTEGER ] primary_key
name [ TEXT ]
address [ TEXT ]
city [ TEXT ]
postal_code [ TEXT ]
latitude [ REAL ]
longitude [ REAL ]
phone_number [ INTEGER ]
tax_code [ TEXT ]
business_certificate [ INTEGER ]
application_date [ DATE ]
owner_name [ TEXT ]
owner_addres... | SELECT DISTINCT T1.description FROM violations AS T1 INNER JOIN businesses AS T2 ON T1.business_id = T2.business_id WHERE T1.risk_category = 'High Risk' AND T2.name = 'Tiramisu Kitchen'; |
[INST] Here is a database schema:
businesses :
business_id [ INTEGER ] primary_key
name [ TEXT ]
address [ TEXT ]
city [ TEXT ]
postal_code [ TEXT ]
latitude [ REAL ]
longitude [ REAL ]
phone_number [ INTEGER ]
tax_code [ TEXT ]
business_certificate [ INTEGER ]
application_date [ DATE ]
owner_name [ TEXT ]
owner_addres... | SELECT COUNT(T1.business_id) FROM inspections AS T1 INNER JOIN businesses AS T2 ON T1.business_id = T2.business_id WHERE T1.type = 'Routine - Unscheduled' AND T2.name = 'Tiramisu Kitchen'; |
[INST] Here is a database schema:
businesses :
business_id [ INTEGER ] primary_key
name [ TEXT ]
address [ TEXT ]
city [ TEXT ]
postal_code [ TEXT ]
latitude [ REAL ]
longitude [ REAL ]
phone_number [ INTEGER ]
tax_code [ TEXT ]
business_certificate [ INTEGER ]
application_date [ DATE ]
owner_name [ TEXT ]
owner_addres... | SELECT COUNT(T2.business_id) FROM inspections AS T1 INNER JOIN businesses AS T2 ON T1.business_id = T2.business_id WHERE T2.name = 'Tiramisu Kitchen' AND T1.type = 'Routine - Unscheduled' AND T1.score > 70; |
[INST] Here is a database schema:
businesses :
business_id [ INTEGER ] primary_key
name [ TEXT ]
address [ TEXT ]
city [ TEXT ]
postal_code [ TEXT ]
latitude [ REAL ]
longitude [ REAL ]
phone_number [ INTEGER ]
tax_code [ TEXT ]
business_certificate [ INTEGER ]
application_date [ DATE ]
owner_name [ TEXT ]
owner_addres... | SELECT CASE WHEN SUM(CASE WHEN T2.name = 'OMNI S.F. Hotel - 2nd Floor Pantry' THEN 1 ELSE 0 END) > SUM(CASE WHEN T2.name = 'Tiramisu Kitchen' THEN 1 ELSE 0 END) THEN 'OMNI S.F. Hotel - 2nd Floor Pantry' ELSE 'Tiramisu Kitchen' END AS result FROM violations AS T1 INNER JOIN businesses AS T2 ON T1.business_id = T2.busine... |
[INST] Here is a database schema:
businesses :
business_id [ INTEGER ] primary_key
name [ TEXT ]
address [ TEXT ]
city [ TEXT ]
postal_code [ TEXT ]
latitude [ REAL ]
longitude [ REAL ]
phone_number [ INTEGER ]
tax_code [ TEXT ]
business_certificate [ INTEGER ]
application_date [ DATE ]
owner_name [ TEXT ]
owner_addres... | SELECT COUNT(T2.business_id) FROM violations AS T1 INNER JOIN businesses AS T2 ON T1.business_id = T2.business_id WHERE T2.city IN ('San Francisco', 'SF', 'S.F.', 'SAN FRANCISCO') AND T1.risk_category = 'High Risk'; |
[INST] Here is a database schema:
businesses :
business_id [ INTEGER ] primary_key
name [ TEXT ]
address [ TEXT ]
city [ TEXT ]
postal_code [ TEXT ]
latitude [ REAL ]
longitude [ REAL ]
phone_number [ INTEGER ]
tax_code [ TEXT ]
business_certificate [ INTEGER ]
application_date [ DATE ]
owner_name [ TEXT ]
owner_addres... | SELECT T2.name FROM violations AS T1 INNER JOIN businesses AS T2 ON T1.business_id = T2.business_id WHERE T1.risk_category = 'High Risk' GROUP BY T2.name ORDER BY COUNT(T2.name) DESC LIMIT 1; |
[INST] Here is a database schema:
businesses :
business_id [ INTEGER ] primary_key
name [ TEXT ]
address [ TEXT ]
city [ TEXT ]
postal_code [ TEXT ]
latitude [ REAL ]
longitude [ REAL ]
phone_number [ INTEGER ]
tax_code [ TEXT ]
business_certificate [ INTEGER ]
application_date [ DATE ]
owner_name [ TEXT ]
owner_addres... | SELECT AVG(T1.score) FROM inspections AS T1 INNER JOIN businesses AS T2 ON T1.business_id = T2.business_id WHERE T2.name = 'Tiramisu Kitchen'; |
[INST] Here is a database schema:
businesses :
business_id [ INTEGER ] primary_key
name [ TEXT ]
address [ TEXT ]
city [ TEXT ]
postal_code [ TEXT ]
latitude [ REAL ]
longitude [ REAL ]
phone_number [ INTEGER ]
tax_code [ TEXT ]
business_certificate [ INTEGER ]
application_date [ DATE ]
owner_name [ TEXT ]
owner_addres... | SELECT business_id FROM inspections GROUP BY business_id ORDER BY COUNT(business_id) DESC LIMIT 1; |
[INST] Here is a database schema:
businesses :
business_id [ INTEGER ] primary_key
name [ TEXT ]
address [ TEXT ]
city [ TEXT ]
postal_code [ TEXT ]
latitude [ REAL ]
longitude [ REAL ]
phone_number [ INTEGER ]
tax_code [ TEXT ]
business_certificate [ INTEGER ]
application_date [ DATE ]
owner_name [ TEXT ]
owner_addres... | SELECT business_id FROM violations GROUP BY business_id ORDER BY COUNT(business_id) DESC LIMIT 1; |
[INST] Here is a database schema:
businesses :
business_id [ INTEGER ] primary_key
name [ TEXT ]
address [ TEXT ]
city [ TEXT ]
postal_code [ TEXT ]
latitude [ REAL ]
longitude [ REAL ]
phone_number [ INTEGER ]
tax_code [ TEXT ]
business_certificate [ INTEGER ]
application_date [ DATE ]
owner_name [ TEXT ]
owner_addres... | SELECT T2.name FROM inspections AS T1 INNER JOIN businesses AS T2 ON T1.business_id = T2.business_id WHERE T1.score = 100 AND T1.`date` = '2016-09-28' AND T1.type = 'Routine - Unscheduled'; |
[INST] Here is a database schema:
businesses :
business_id [ INTEGER ] primary_key
name [ TEXT ]
address [ TEXT ]
city [ TEXT ]
postal_code [ TEXT ]
latitude [ REAL ]
longitude [ REAL ]
phone_number [ INTEGER ]
tax_code [ TEXT ]
business_certificate [ INTEGER ]
application_date [ DATE ]
owner_name [ TEXT ]
owner_addres... | SELECT T2.name FROM violations AS T1 INNER JOIN businesses AS T2 ON T1.business_id = T2.business_id WHERE T1.risk_category = 'High Risk' GROUP BY T2.name ORDER BY COUNT(T2.name) DESC LIMIT 1; |
[INST] Here is a database schema:
businesses :
business_id [ INTEGER ] primary_key
name [ TEXT ]
address [ TEXT ]
city [ TEXT ]
postal_code [ TEXT ]
latitude [ REAL ]
longitude [ REAL ]
phone_number [ INTEGER ]
tax_code [ TEXT ]
business_certificate [ INTEGER ]
application_date [ DATE ]
owner_name [ TEXT ]
owner_addres... | SELECT COUNT(DISTINCT T1.violation_type_id) FROM violations AS T1 INNER JOIN businesses AS T2 ON T1.business_id = T2.business_id WHERE T2.name = 'Stacks Restaurant' AND T1.`date` = '2016-10-04'; |
[INST] Here is a database schema:
businesses :
business_id [ INTEGER ] primary_key
name [ TEXT ]
address [ TEXT ]
city [ TEXT ]
postal_code [ TEXT ]
latitude [ REAL ]
longitude [ REAL ]
phone_number [ INTEGER ]
tax_code [ TEXT ]
business_certificate [ INTEGER ]
application_date [ DATE ]
owner_name [ TEXT ]
owner_addres... | SELECT T1.description FROM violations AS T1 INNER JOIN businesses AS T2 ON T1.business_id = T2.business_id WHERE T2.name = 'Chez Fayala, Inc.' AND T1.`date` = '2016-07-01' AND T1.risk_category = 'Moderate Risk'; |
[INST] Here is a database schema:
businesses :
business_id [ INTEGER ] primary_key
name [ TEXT ]
address [ TEXT ]
city [ TEXT ]
postal_code [ TEXT ]
latitude [ REAL ]
longitude [ REAL ]
phone_number [ INTEGER ]
tax_code [ TEXT ]
business_certificate [ INTEGER ]
application_date [ DATE ]
owner_name [ TEXT ]
owner_addres... | SELECT T2.name FROM inspections AS T1 INNER JOIN businesses AS T2 ON T1.business_id = T2.business_id WHERE score = ( SELECT MIN(score) FROM inspections WHERE `date` = '2016-09-26' AND type = 'Routine - Unscheduled' ) AND T1.`date` = '2016-09-26' AND T1.type = 'Routine - Unscheduled'; |
[INST] Here is a database schema:
businesses :
business_id [ INTEGER ] primary_key
name [ TEXT ]
address [ TEXT ]
city [ TEXT ]
postal_code [ TEXT ]
latitude [ REAL ]
longitude [ REAL ]
phone_number [ INTEGER ]
tax_code [ TEXT ]
business_certificate [ INTEGER ]
application_date [ DATE ]
owner_name [ TEXT ]
owner_addres... | SELECT T2.name FROM inspections AS T1 INNER JOIN businesses AS T2 ON T1.business_id = T2.business_id WHERE T1.type = 'Complaint' GROUP BY T2.name ORDER BY COUNT(T1.business_id) DESC LIMIT 1; |
[INST] Here is a database schema:
businesses :
business_id [ INTEGER ] primary_key
name [ TEXT ]
address [ TEXT ]
city [ TEXT ]
postal_code [ TEXT ]
latitude [ REAL ]
longitude [ REAL ]
phone_number [ INTEGER ]
tax_code [ TEXT ]
business_certificate [ INTEGER ]
application_date [ DATE ]
owner_name [ TEXT ]
owner_addres... | SELECT COUNT(T1.business_id) FROM inspections AS T1 INNER JOIN businesses AS T2 ON T1.business_id = T2.business_id WHERE T2.name = 'Soma Restaurant And Bar' AND T1.type = 'Routine - Unscheduled'; |
[INST] Here is a database schema:
businesses :
business_id [ INTEGER ] primary_key
name [ TEXT ]
address [ TEXT ]
city [ TEXT ]
postal_code [ TEXT ]
latitude [ REAL ]
longitude [ REAL ]
phone_number [ INTEGER ]
tax_code [ TEXT ]
business_certificate [ INTEGER ]
application_date [ DATE ]
owner_name [ TEXT ]
owner_addres... | SELECT T2.address FROM violations AS T1 INNER JOIN businesses AS T2 ON T1.business_id = T2.business_id WHERE T1.risk_category = 'Low Risk' GROUP BY T2.address ORDER BY COUNT(T1.business_id) DESC LIMIT 1; |
[INST] Here is a database schema:
businesses :
business_id [ INTEGER ] primary_key
name [ TEXT ]
address [ TEXT ]
city [ TEXT ]
postal_code [ TEXT ]
latitude [ REAL ]
longitude [ REAL ]
phone_number [ INTEGER ]
tax_code [ TEXT ]
business_certificate [ INTEGER ]
application_date [ DATE ]
owner_name [ TEXT ]
owner_addres... | SELECT T2.name FROM violations AS T1 INNER JOIN businesses AS T2 ON T1.business_id = T2.business_id WHERE T1.`date` = ( SELECT MIN(`date`) FROM violations WHERE risk_category = 'Low Risk' AND description = 'Permit license or inspection report not posted' ) AND T1.risk_category = 'Low Risk' AND T1.description = 'Permit ... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.