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: Give the FBI code description of case No.JB134191.
Evidence: case No.JB134191 refers to case_number = 'JB134191'
SQL: 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'
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: Tell the number of cases with arrests in North Lawndale community.
Evidence: number of cases refers to count(case_number); arrest refers to arrest = 'TRUE'; North Lawndale community refers to community_area_name = 'North Lawndale'
SQL: 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'
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 percentage of under $500 thefts among all cases that happened in West Englewood?
Evidence: under $500 refers to secondary_description = '$500 AND UNDER'; theft refers to primary_description = 'THEFT'; West Englewood refers to community_area_name = 'West Englewood'; percentage = divide(count(case_number where secondary_description = '$500 AND UNDER'), count(case_number)) where primary_description = 'THEFT' and community_area_name = 'West Englewood' * 100%
SQL: 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.community_area_name = 'West Englewood'
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 percentage of larceny cases among all cases that happened in Edgewater community?
Evidence: larceny case refers to title = 'Larceny'; Edgewater community refers to community_area_name = 'Edgewater'; percentage = divide(count(case_number where title = 'Larceny'), count(case_number)) where community_area_name = 'Edgewater' * 100%
SQL: 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'
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 committed at 018XX S KOMENSKY AVEin May 2018?
Evidence:  in May 2018 refers to date LIKE '5/%/2018%'
SQL: SELECT SUM(CASE WHEN date LIKE '5/%/2018%' THEN 1 ELSE 0 END) FROM Crime WHERE block = '018XX S KOMENSKY AVE'
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 with the highest population?
Evidence: name of the community refers to community_area_name; the highest population refers to max(population)
SQL: SELECT community_area_name FROM Community_Area 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: How many incidents of domestic violence occurred in an abandoned building in 2018?
Evidence: domestic violence refers to domestic = 'TRUE'; in an abandoned building refers to location_description = 'ABANDONED BUILDING'; in 2018 refers to date LIKE '%2018%'
SQL: SELECT SUM(CASE WHEN location_description = 'ABANDONED BUILDING' THEN 1 ELSE 0 END) FROM Crime WHERE date LIKE '%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: What is the population of the district with the least population?
Evidence: the least population refers = min(sum(population))
SQL: SELECT SUM(population) FROM Community_Area GROUP BY side ORDER BY SUM(population) 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 arrests were made in 2018 in an animal hospital under FBI code 08B?
Evidence: arrest refers to arrest = 'TRUE'; in 2018 refers to date LIKE '%2018%'; in an animal hospital refers to location_description = 'ANIMAL HOSPITAL'; FBI code 08B refers to fbi_code_no = '08B'
SQL: 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'
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: Give the detailed description of all the crimes against society.
Evidence: crime against society refers to crime_against = 'Society'
SQL: SELECT description FROM FBI_Code WHERE crime_against = 'Society'
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: Who is the commanding officer in the district with the highest number of disorderly conduct?
Evidence: commanding officer refers to commander; the highest number refers to max(count(district_no)); disorderly conduct refers to title = 'Disorderly Conduct'
SQL: 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
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: Which crime was committed the most by criminals?
Evidence: crime refers to title; committed the most refers to max(fbi_code_no)
SQL: 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
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: In Albany Park, how many arrests were made in an apartment due to criminal sexual abuse?
Evidence: Albany Park refers to district_name = 'Albany Park'; in an apartment refers to location_description = 'APARTMENT'; criminal sexual abuse refers to title = 'Criminal Sexual Abuse'
SQL: 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'
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 precise location or coordinate where most of the robberies in Rogers Park occurred?
Evidence: precise location or coordinate refers to latitude, longitude; most refers to fbi_code_no = 3; robbery refers to title = 'Robbery'; Rogers Park refers to community_area_name = 'Rogers Park'
SQL: 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
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 solicit on public way prostitution crimes were arrested in West Garfield Park?
Evidence: solicit on public way prostitution crime refers to secondary_description = 'SOLICIT ON PUBLIC WAY' AND primary_description = 'PROSTITUTION'; arrested refers to arrest = 'TRUE'; West Garfield Park refers to community_area_name = 'West Garfield Park'
SQL: 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.primary_description = 'PROSTITUTION'
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: In the most populated ward, how many incidents of domestic violence were reported in a bar or tavern?
Evidence: the most populated refers to max(population); domestic violence refers to domestic = 'TRUE'; in a bar or tavern refers to location_description = 'BAR OR TAVERN'
SQL: 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