1sf/bird-sql-train-with-schema huggingface dataset:
Database: chicago_crime
Tables: Community_Area, District, FBI_Code, IUCR, Neighborhood, Ward, Crime
Columns (table index, column name): -1, *, 0, community_area_no, 0, community_area_name, 0, side, 0, population, 1, district_no, 1, district_name, 1, address, 1, zip_code, 1, commander, 1, email, 1, phone, 1, fax, 1, tty, 1, twitter, 2, fbi_code_no, 2, title, 2, description, 2, crime_against, 3, iucr_no, 3, primary_description, 3, secondary_description, 3, index_code, 4, neighborhood_name, 4, community_area_no, 5, ward_no, 5, alderman_first_name, 5, alderman_last_name, 5, alderman_name_suffix, 5, ward_office_address, 5, ward_office_zip, 5, ward_email, 5, ward_office_phone, 5, ward_office_fax, 5, city_hall_office_room, 5, city_hall_office_phone, 5, city_hall_office_fax, 5, Population, 6, report_no, 6, case_number, 6, date, 6, block, 6, iucr_no, 6, location_description, 6, arrest, 6, domestic, 6, beat, 6, district_no, 6, ward_no, 6, community_area_no, 6, fbi_code_no, 6, latitude, 6, longitude
Question: How many neighborhoods are there in Near North Side?
Evidence: Near North Side refers to community_area_name = 'Near North Side'
SQL: 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
Database: chicago_crime
Tables: Community_Area, District, FBI_Code, IUCR, Neighborhood, Ward, Crime
Columns (table index, column name): -1, *, 0, community_area_no, 0, community_area_name, 0, side, 0, population, 1, district_no, 1, district_name, 1, address, 1, zip_code, 1, commander, 1, email, 1, phone, 1, fax, 1, tty, 1, twitter, 2, fbi_code_no, 2, title, 2, description, 2, crime_against, 3, iucr_no, 3, primary_description, 3, secondary_description, 3, index_code, 4, neighborhood_name, 4, community_area_no, 5, ward_no, 5, alderman_first_name, 5, alderman_last_name, 5, alderman_name_suffix, 5, ward_office_address, 5, ward_office_zip, 5, ward_email, 5, ward_office_phone, 5, ward_office_fax, 5, city_hall_office_room, 5, city_hall_office_phone, 5, city_hall_office_fax, 5, Population, 6, report_no, 6, case_number, 6, date, 6, block, 6, iucr_no, 6, location_description, 6, arrest, 6, domestic, 6, beat, 6, district_no, 6, ward_no, 6, community_area_no, 6, fbi_code_no, 6, latitude, 6, longitude
Question: Out of all the incidents of domestic violence reported at the ward represented by alderman Walter Burnett Jr., how many were arrested?
Evidence: domestic violence refers to domestic = 'TRUE'; arrested refers to arrest = 'TRUE'
SQL: 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'
Database: chicago_crime
Tables: Community_Area, District, FBI_Code, IUCR, Neighborhood, Ward, Crime
Columns (table index, column name): -1, *, 0, community_area_no, 0, community_area_name, 0, side, 0, population, 1, district_no, 1, district_name, 1, address, 1, zip_code, 1, commander, 1, email, 1, phone, 1, fax, 1, tty, 1, twitter, 2, fbi_code_no, 2, title, 2, description, 2, crime_against, 3, iucr_no, 3, primary_description, 3, secondary_description, 3, index_code, 4, neighborhood_name, 4, community_area_no, 5, ward_no, 5, alderman_first_name, 5, alderman_last_name, 5, alderman_name_suffix, 5, ward_office_address, 5, ward_office_zip, 5, ward_email, 5, ward_office_phone, 5, ward_office_fax, 5, city_hall_office_room, 5, city_hall_office_phone, 5, city_hall_office_fax, 5, Population, 6, report_no, 6, case_number, 6, date, 6, block, 6, iucr_no, 6, location_description, 6, arrest, 6, domestic, 6, beat, 6, district_no, 6, ward_no, 6, community_area_no, 6, fbi_code_no, 6, latitude, 6, longitude
Question: What is the short description of the crime committed the most by criminals in the least populated community?
Evidence: short description refers to title; committed the most refers to max(fbi_code_no); the least populated community refers to min(population)
SQL: 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
Database: chicago_crime
Tables: Community_Area, District, FBI_Code, IUCR, Neighborhood, Ward, Crime
Columns (table index, column name): -1, *, 0, community_area_no, 0, community_area_name, 0, side, 0, population, 1, district_no, 1, district_name, 1, address, 1, zip_code, 1, commander, 1, email, 1, phone, 1, fax, 1, tty, 1, twitter, 2, fbi_code_no, 2, title, 2, description, 2, crime_against, 3, iucr_no, 3, primary_description, 3, secondary_description, 3, index_code, 4, neighborhood_name, 4, community_area_no, 5, ward_no, 5, alderman_first_name, 5, alderman_last_name, 5, alderman_name_suffix, 5, ward_office_address, 5, ward_office_zip, 5, ward_email, 5, ward_office_phone, 5, ward_office_fax, 5, city_hall_office_room, 5, city_hall_office_phone, 5, city_hall_office_fax, 5, Population, 6, report_no, 6, case_number, 6, date, 6, block, 6, iucr_no, 6, location_description, 6, arrest, 6, domestic, 6, beat, 6, district_no, 6, ward_no, 6, community_area_no, 6, fbi_code_no, 6, latitude, 6, longitude
Question: What is the legislative district's office address where 010XX W LAKE ST is located?
Evidence: the legislative district's office address refers to ward_office_address; 010XX W LAKE ST refers to block = '010XX W LAKE ST'
SQL: 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
Database: chicago_crime
Tables: Community_Area, District, FBI_Code, IUCR, Neighborhood, Ward, Crime
Columns (table index, column name): -1, *, 0, community_area_no, 0, community_area_name, 0, side, 0, population, 1, district_no, 1, district_name, 1, address, 1, zip_code, 1, commander, 1, email, 1, phone, 1, fax, 1, tty, 1, twitter, 2, fbi_code_no, 2, title, 2, description, 2, crime_against, 3, iucr_no, 3, primary_description, 3, secondary_description, 3, index_code, 4, neighborhood_name, 4, community_area_no, 5, ward_no, 5, alderman_first_name, 5, alderman_last_name, 5, alderman_name_suffix, 5, ward_office_address, 5, ward_office_zip, 5, ward_email, 5, ward_office_phone, 5, ward_office_fax, 5, city_hall_office_room, 5, city_hall_office_phone, 5, city_hall_office_fax, 5, Population, 6, report_no, 6, case_number, 6, date, 6, block, 6, iucr_no, 6, location_description, 6, arrest, 6, domestic, 6, beat, 6, district_no, 6, ward_no, 6, community_area_no, 6, fbi_code_no, 6, latitude, 6, longitude
Question: What is the name of the community that has the highest number of crimes related to prostitution?
Evidence: name of the community refers to community_area_name; the highest number of crimes refers to max(case_number); prostitution refers to primary_description = 'PROSTITUTION'
SQL: 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
Database: chicago_crime
Tables: Community_Area, District, FBI_Code, IUCR, Neighborhood, Ward, Crime
Columns (table index, column name): -1, *, 0, community_area_no, 0, community_area_name, 0, side, 0, population, 1, district_no, 1, district_name, 1, address, 1, zip_code, 1, commander, 1, email, 1, phone, 1, fax, 1, tty, 1, twitter, 2, fbi_code_no, 2, title, 2, description, 2, crime_against, 3, iucr_no, 3, primary_description, 3, secondary_description, 3, index_code, 4, neighborhood_name, 4, community_area_no, 5, ward_no, 5, alderman_first_name, 5, alderman_last_name, 5, alderman_name_suffix, 5, ward_office_address, 5, ward_office_zip, 5, ward_email, 5, ward_office_phone, 5, ward_office_fax, 5, city_hall_office_room, 5, city_hall_office_phone, 5, city_hall_office_fax, 5, Population, 6, report_no, 6, case_number, 6, date, 6, block, 6, iucr_no, 6, location_description, 6, arrest, 6, domestic, 6, beat, 6, district_no, 6, ward_no, 6, community_area_no, 6, fbi_code_no, 6, latitude, 6, longitude
Question: How many vandalisms were arrested in the ward represented by Edward Burke?
Evidence: vandalism refers to title = 'Vandalism'; arrested refers to arrest = 'TRUE'
SQL: 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'
Database: chicago_crime
Tables: Community_Area, District, FBI_Code, IUCR, Neighborhood, Ward, Crime
Columns (table index, column name): -1, *, 0, community_area_no, 0, community_area_name, 0, side, 0, population, 1, district_no, 1, district_name, 1, address, 1, zip_code, 1, commander, 1, email, 1, phone, 1, fax, 1, tty, 1, twitter, 2, fbi_code_no, 2, title, 2, description, 2, crime_against, 3, iucr_no, 3, primary_description, 3, secondary_description, 3, index_code, 4, neighborhood_name, 4, community_area_no, 5, ward_no, 5, alderman_first_name, 5, alderman_last_name, 5, alderman_name_suffix, 5, ward_office_address, 5, ward_office_zip, 5, ward_email, 5, ward_office_phone, 5, ward_office_fax, 5, city_hall_office_room, 5, city_hall_office_phone, 5, city_hall_office_fax, 5, Population, 6, report_no, 6, case_number, 6, date, 6, block, 6, iucr_no, 6, location_description, 6, arrest, 6, domestic, 6, beat, 6, district_no, 6, ward_no, 6, community_area_no, 6, fbi_code_no, 6, latitude, 6, longitude
Question: How many domestic violence cases were reported in May 2018?
Evidence: domestic violence refers to domestic = 'TRUE'; in May 2018 refers to date LIKE '5/%/2018%'
SQL: SELECT COUNT(*) FROM Crime WHERE date LIKE '5/%/2018%' AND domestic = 'TRUE'
Database: chicago_crime
Tables: Community_Area, District, FBI_Code, IUCR, Neighborhood, Ward, Crime
Columns (table index, column name): -1, *, 0, community_area_no, 0, community_area_name, 0, side, 0, population, 1, district_no, 1, district_name, 1, address, 1, zip_code, 1, commander, 1, email, 1, phone, 1, fax, 1, tty, 1, twitter, 2, fbi_code_no, 2, title, 2, description, 2, crime_against, 3, iucr_no, 3, primary_description, 3, secondary_description, 3, index_code, 4, neighborhood_name, 4, community_area_no, 5, ward_no, 5, alderman_first_name, 5, alderman_last_name, 5, alderman_name_suffix, 5, ward_office_address, 5, ward_office_zip, 5, ward_email, 5, ward_office_phone, 5, ward_office_fax, 5, city_hall_office_room, 5, city_hall_office_phone, 5, city_hall_office_fax, 5, Population, 6, report_no, 6, case_number, 6, date, 6, block, 6, iucr_no, 6, location_description, 6, arrest, 6, domestic, 6, beat, 6, district_no, 6, ward_no, 6, community_area_no, 6, fbi_code_no, 6, latitude, 6, longitude
Question: List the IUCR numbers and index status of homicide incidents.
Evidence: index status refers to index_code; homicide incident refers to primary_description = 'HOMICIDE'
SQL: SELECT index_code FROM IUCR WHERE primary_description = 'HOMICIDE'
Database: chicago_crime
Tables: Community_Area, District, FBI_Code, IUCR, Neighborhood, Ward, Crime
Columns (table index, column name): -1, *, 0, community_area_no, 0, community_area_name, 0, side, 0, population, 1, district_no, 1, district_name, 1, address, 1, zip_code, 1, commander, 1, email, 1, phone, 1, fax, 1, tty, 1, twitter, 2, fbi_code_no, 2, title, 2, description, 2, crime_against, 3, iucr_no, 3, primary_description, 3, secondary_description, 3, index_code, 4, neighborhood_name, 4, community_area_no, 5, ward_no, 5, alderman_first_name, 5, alderman_last_name, 5, alderman_name_suffix, 5, ward_office_address, 5, ward_office_zip, 5, ward_email, 5, ward_office_phone, 5, ward_office_fax, 5, city_hall_office_room, 5, city_hall_office_phone, 5, city_hall_office_fax, 5, Population, 6, report_no, 6, case_number, 6, date, 6, block, 6, iucr_no, 6, location_description, 6, arrest, 6, domestic, 6, beat, 6, district_no, 6, ward_no, 6, community_area_no, 6, fbi_code_no, 6, latitude, 6, longitude
Question: Provide the responsible person and his/her email address of Chicago Lawn.
Evidence: responsible person refers to commander; email address refers to email; Chicago Lawn refers to district_name = 'Chicago Lawn'
SQL: SELECT commander, email FROM District WHERE district_name = 'Chicago Lawn'
Database: chicago_crime
Tables: Community_Area, District, FBI_Code, IUCR, Neighborhood, Ward, Crime
Columns (table index, column name): -1, *, 0, community_area_no, 0, community_area_name, 0, side, 0, population, 1, district_no, 1, district_name, 1, address, 1, zip_code, 1, commander, 1, email, 1, phone, 1, fax, 1, tty, 1, twitter, 2, fbi_code_no, 2, title, 2, description, 2, crime_against, 3, iucr_no, 3, primary_description, 3, secondary_description, 3, index_code, 4, neighborhood_name, 4, community_area_no, 5, ward_no, 5, alderman_first_name, 5, alderman_last_name, 5, alderman_name_suffix, 5, ward_office_address, 5, ward_office_zip, 5, ward_email, 5, ward_office_phone, 5, ward_office_fax, 5, city_hall_office_room, 5, city_hall_office_phone, 5, city_hall_office_fax, 5, Population, 6, report_no, 6, case_number, 6, date, 6, block, 6, iucr_no, 6, location_description, 6, arrest, 6, domestic, 6, beat, 6, district_no, 6, ward_no, 6, community_area_no, 6, fbi_code_no, 6, latitude, 6, longitude
Question: What is the alderman's full name of the most crowded ward?
Evidence: alderman's full name refers to alderman_name_suffix, alderman_first_name, alderman_last_name; the most crowded refers to max(population)
SQL: SELECT alderman_name_suffix, alderman_first_name, alderman_last_name FROM Ward ORDER BY population DESC LIMIT 1
Database: chicago_crime
Tables: Community_Area, District, FBI_Code, IUCR, Neighborhood, Ward, Crime
Columns (table index, column name): -1, *, 0, community_area_no, 0, community_area_name, 0, side, 0, population, 1, district_no, 1, district_name, 1, address, 1, zip_code, 1, commander, 1, email, 1, phone, 1, fax, 1, tty, 1, twitter, 2, fbi_code_no, 2, title, 2, description, 2, crime_against, 3, iucr_no, 3, primary_description, 3, secondary_description, 3, index_code, 4, neighborhood_name, 4, community_area_no, 5, ward_no, 5, alderman_first_name, 5, alderman_last_name, 5, alderman_name_suffix, 5, ward_office_address, 5, ward_office_zip, 5, ward_email, 5, ward_office_phone, 5, ward_office_fax, 5, city_hall_office_room, 5, city_hall_office_phone, 5, city_hall_office_fax, 5, Population, 6, report_no, 6, case_number, 6, date, 6, block, 6, iucr_no, 6, location_description, 6, arrest, 6, domestic, 6, beat, 6, district_no, 6, ward_no, 6, community_area_no, 6, fbi_code_no, 6, latitude, 6, longitude
Question: List the community area names in the Northwest.
Evidence: the Northwest refers to side = 'Northwest'
SQL: SELECT community_area_name FROM Community_Area WHERE side = 'Northwest'
Database: chicago_crime
Tables: Community_Area, District, FBI_Code, IUCR, Neighborhood, Ward, Crime
Columns (table index, column name): -1, *, 0, community_area_no, 0, community_area_name, 0, side, 0, population, 1, district_no, 1, district_name, 1, address, 1, zip_code, 1, commander, 1, email, 1, phone, 1, fax, 1, tty, 1, twitter, 2, fbi_code_no, 2, title, 2, description, 2, crime_against, 3, iucr_no, 3, primary_description, 3, secondary_description, 3, index_code, 4, neighborhood_name, 4, community_area_no, 5, ward_no, 5, alderman_first_name, 5, alderman_last_name, 5, alderman_name_suffix, 5, ward_office_address, 5, ward_office_zip, 5, ward_email, 5, ward_office_phone, 5, ward_office_fax, 5, city_hall_office_room, 5, city_hall_office_phone, 5, city_hall_office_fax, 5, Population, 6, report_no, 6, case_number, 6, date, 6, block, 6, iucr_no, 6, location_description, 6, arrest, 6, domestic, 6, beat, 6, district_no, 6, ward_no, 6, community_area_no, 6, fbi_code_no, 6, latitude, 6, longitude
Question: List down the titles and descriptions of the crimes cases against persons.
Evidence: crime case against persons refers to crime_against = 'Persons'
SQL: SELECT title, description FROM FBI_Code WHERE crime_against = 'Persons'
Database: chicago_crime
Tables: Community_Area, District, FBI_Code, IUCR, Neighborhood, Ward, Crime
Columns (table index, column name): -1, *, 0, community_area_no, 0, community_area_name, 0, side, 0, population, 1, district_no, 1, district_name, 1, address, 1, zip_code, 1, commander, 1, email, 1, phone, 1, fax, 1, tty, 1, twitter, 2, fbi_code_no, 2, title, 2, description, 2, crime_against, 3, iucr_no, 3, primary_description, 3, secondary_description, 3, index_code, 4, neighborhood_name, 4, community_area_no, 5, ward_no, 5, alderman_first_name, 5, alderman_last_name, 5, alderman_name_suffix, 5, ward_office_address, 5, ward_office_zip, 5, ward_email, 5, ward_office_phone, 5, ward_office_fax, 5, city_hall_office_room, 5, city_hall_office_phone, 5, city_hall_office_fax, 5, Population, 6, report_no, 6, case_number, 6, date, 6, block, 6, iucr_no, 6, location_description, 6, arrest, 6, domestic, 6, beat, 6, district_no, 6, ward_no, 6, community_area_no, 6, fbi_code_no, 6, latitude, 6, longitude
Question: Describe the specific description and case locations under IUCR 142.
Evidence: specific description refers to secondary_description; location refers to latitude, longitude; IUCR 142 refers to iucr_no = 142
SQL: 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
Database: chicago_crime
Tables: Community_Area, District, FBI_Code, IUCR, Neighborhood, Ward, Crime
Columns (table index, column name): -1, *, 0, community_area_no, 0, community_area_name, 0, side, 0, population, 1, district_no, 1, district_name, 1, address, 1, zip_code, 1, commander, 1, email, 1, phone, 1, fax, 1, tty, 1, twitter, 2, fbi_code_no, 2, title, 2, description, 2, crime_against, 3, iucr_no, 3, primary_description, 3, secondary_description, 3, index_code, 4, neighborhood_name, 4, community_area_no, 5, ward_no, 5, alderman_first_name, 5, alderman_last_name, 5, alderman_name_suffix, 5, ward_office_address, 5, ward_office_zip, 5, ward_email, 5, ward_office_phone, 5, ward_office_fax, 5, city_hall_office_room, 5, city_hall_office_phone, 5, city_hall_office_fax, 5, Population, 6, report_no, 6, case_number, 6, date, 6, block, 6, iucr_no, 6, location_description, 6, arrest, 6, domestic, 6, beat, 6, district_no, 6, ward_no, 6, community_area_no, 6, fbi_code_no, 6, latitude, 6, longitude
Question: How many crimes were handled by Brendan Reilly on 7th October 2018?
Evidence: 7th October 2018 refers to date like '10/7/2018%'
SQL: 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%'
Database: chicago_crime
Tables: Community_Area, District, FBI_Code, IUCR, Neighborhood, Ward, Crime
Columns (table index, column name): -1, *, 0, community_area_no, 0, community_area_name, 0, side, 0, population, 1, district_no, 1, district_name, 1, address, 1, zip_code, 1, commander, 1, email, 1, phone, 1, fax, 1, tty, 1, twitter, 2, fbi_code_no, 2, title, 2, description, 2, crime_against, 3, iucr_no, 3, primary_description, 3, secondary_description, 3, index_code, 4, neighborhood_name, 4, community_area_no, 5, ward_no, 5, alderman_first_name, 5, alderman_last_name, 5, alderman_name_suffix, 5, ward_office_address, 5, ward_office_zip, 5, ward_email, 5, ward_office_phone, 5, ward_office_fax, 5, city_hall_office_room, 5, city_hall_office_phone, 5, city_hall_office_fax, 5, Population, 6, report_no, 6, case_number, 6, date, 6, block, 6, iucr_no, 6, location_description, 6, arrest, 6, domestic, 6, beat, 6, district_no, 6, ward_no, 6, community_area_no, 6, fbi_code_no, 6, latitude, 6, longitude
Question: How many cases have been arrested among the crimes that happened in the restaurant of Englewood?
Evidence: arrested refers to arrest = 'TRUE'; restaurant refers to location_description = 'RESTAURANT'; Englewood refers to district_name = 'Englewood'
SQL: 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'
Database: chicago_crime
Tables: Community_Area, District, FBI_Code, IUCR, Neighborhood, Ward, Crime
Columns (table index, column name): -1, *, 0, community_area_no, 0, community_area_name, 0, side, 0, population, 1, district_no, 1, district_name, 1, address, 1, zip_code, 1, commander, 1, email, 1, phone, 1, fax, 1, tty, 1, twitter, 2, fbi_code_no, 2, title, 2, description, 2, crime_against, 3, iucr_no, 3, primary_description, 3, secondary_description, 3, index_code, 4, neighborhood_name, 4, community_area_no, 5, ward_no, 5, alderman_first_name, 5, alderman_last_name, 5, alderman_name_suffix, 5, ward_office_address, 5, ward_office_zip, 5, ward_email, 5, ward_office_phone, 5, ward_office_fax, 5, city_hall_office_room, 5, city_hall_office_phone, 5, city_hall_office_fax, 5, Population, 6, report_no, 6, case_number, 6, date, 6, block, 6, iucr_no, 6, location_description, 6, arrest, 6, domestic, 6, beat, 6, district_no, 6, ward_no, 6, community_area_no, 6, fbi_code_no, 6, latitude, 6, longitude
Question: Provide case numbers, aldermen's full names, and district names of the crimes that happened in 0000X N FRANCISCO AVE.
Evidence: aldermen's full name refers to alderman_name_suffix, alderman_first_name, alderman_last_name; 0000X N FRANCISCO AVE refers to block = '0000X N FRANCISCO AVE'
SQL: 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_name, T1.district_name
Database: chicago_crime
Tables: Community_Area, District, FBI_Code, IUCR, Neighborhood, Ward, Crime
Columns (table index, column name): -1, *, 0, community_area_no, 0, community_area_name, 0, side, 0, population, 1, district_no, 1, district_name, 1, address, 1, zip_code, 1, commander, 1, email, 1, phone, 1, fax, 1, tty, 1, twitter, 2, fbi_code_no, 2, title, 2, description, 2, crime_against, 3, iucr_no, 3, primary_description, 3, secondary_description, 3, index_code, 4, neighborhood_name, 4, community_area_no, 5, ward_no, 5, alderman_first_name, 5, alderman_last_name, 5, alderman_name_suffix, 5, ward_office_address, 5, ward_office_zip, 5, ward_email, 5, ward_office_phone, 5, ward_office_fax, 5, city_hall_office_room, 5, city_hall_office_phone, 5, city_hall_office_fax, 5, Population, 6, report_no, 6, case_number, 6, date, 6, block, 6, iucr_no, 6, location_description, 6, arrest, 6, domestic, 6, beat, 6, district_no, 6, ward_no, 6, community_area_no, 6, fbi_code_no, 6, latitude, 6, longitude
Question: How many crimes were Misc Non-Index Offense?
Evidence: Misc Non-Index Offense refers to title = 'Misc Non-Index Offense'
SQL: 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