[{"database": "sf_food_inspections_lives", "sql": "CREATE TABLE inspection_records (\n\tbusiness_id INT(11) NOT NULL, \n\tbusiness_name VARCHAR(64) NOT NULL, \n\tbusiness_address VARCHAR(50), \n\tbusiness_city VARCHAR(13) NOT NULL, \n\tbusiness_state VARCHAR(2) NOT NULL, \n\tbusiness_postal_code VARCHAR(9), \n\tbusiness_latitude FLOAT, \n\tbusiness_longitude FLOAT, \n\tbusiness_phone_number BIGINT, \n\tinspection_id VARCHAR(14) NOT NULL, \n\tinspection_date DATE NOT NULL, \n\tinspection_score INT(11), \n\tinspection_type VARCHAR(33) NOT NULL, \n\tviolation_id VARCHAR(21), \n\tviolation_description VARCHAR(73), \n\trisk_category VARCHAR(13)\n)", "table": "inspection_records", "col_names": ["business_id", "business_name", "business_address", "business_city", "business_state", "business_postal_code", "business_latitude", "business_longitude", "business_phone_number", "inspection_id", "inspection_date", "inspection_score", "inspection_type", "violation_id", "violation_description", "risk_category"]}, {"database": "florida_deathrow", "sql": "CREATE TABLE \"inmates\" (\n\t`Inmate Name`\tTEXT NOT NULL,\n\t`DC#`\tTEXT NOT NULL,\n\t`Race/Gender`\tTEXT NOT NULL,\n\t`Date Received`\tDATE NOT NULL,\n\t`Crime`\tTEXT NOT NULL,\n\t`Date of Offense`\tDATE NOT NULL,\n\t`Date of Sentence`\tDATE NOT NULL,\n\t`Date of Birth`\tDATE NOT NULL,\n\t`County`\tTEXT NOT NULL\n)", "table": "inmates", "col_names": ["Inmate Name", "DC#", "Race/Gender", "Date Received", "Crime", "Date of Offense", "Date of Sentence", "Date of Birth", "County"]}, {"database": "sfscores", "sql": "CREATE TABLE businesses (\n\tbusiness_id INT(11) NOT NULL, \n\tname VARCHAR(64), \n\taddress VARCHAR(50), \n\tcity VARCHAR(23), \n\tpostal_code VARCHAR(9), \n\tlatitude FLOAT, \n\tlongitude FLOAT, \n\tphone_number BIGINT, \n\t\"TaxCode\" VARCHAR(4), \n\tbusiness_certificate INT(11), \n\tapplication_date DATE, \n\towner_name VARCHAR(99), \n\towner_address VARCHAR(74), \n\towner_city VARCHAR(22), \n\towner_state VARCHAR(14), \n\towner_zip VARCHAR(15)\n)", "table": "businesses", "col_names": ["business_id", "name", "address", "city", "postal_code", "latitude", "longitude", "phone_number", "TaxCode", "business_certificate", "application_date", "owner_name", "owner_address", "owner_city", "owner_state", "owner_zip"]}, {"database": "sfscores", "sql": "CREATE TABLE \"inspections\" (\n\t`business_id`\tTEXT NOT NULL,\n\t`Score`\tINT(11),\n\t`date`\tTEXT NOT NULL,\n\t`type`\tVARCHAR(33) NOT NULL\n)", "table": "inspections", "col_names": ["business_id", "Score", "date", "type"]}, {"database": "sfscores", "sql": "CREATE TABLE \"violations\" (\n\t`business_id`\tTEXT NOT NULL,\n\t`date`\tTEXT NOT NULL,\n\t`ViolationTypeID`\tTEXT NOT NULL,\n\t`risk_category`\tTEXT NOT NULL,\n\t`description`\tTEXT NOT NULL\n)", "table": "violations", "col_names": ["business_id", "date", "ViolationTypeID", "risk_category", "description"]}, {"database": "thr_gendered_babynames", "sql": "CREATE TABLE `gendered_names` (\n    `year`  INT(11) NOT NULL,\n    `state` TEXT NOT NULL,\n    `name`  TEXT NOT NULL,\n    `total_babies` INT(11) NOT NULL,\n    `primary_sex`   TEXT NOT NULL,\n  `primary_sex_ratio` INT(11) NOT NULL,\n  `per_100k_in_state` INT(11) NOT NULL\n)", "table": "gendered_names", "col_names": ["year", "state", "name", "total_babies", "primary_sex", "primary_sex_ratio", "per_100k_in_state"]}, {"database": "thr_gendered_babynames", "sql": "CREATE TABLE \"thr_power_list\" (\n\t`rank`\tINT(11),\n\t`full_name`\tTEXT,\n\t`first_name`\tTEXT,\n\t`last_name`\tTEXT,\n\t`occupation`\tTEXT,\n\t`company`\tTEXT\n)", "table": "thr_power_list", "col_names": ["rank", "full_name", "first_name", "last_name", "occupation", "company"]}, {"database": "peninsula_publicpay", "sql": "CREATE TABLE \"salaries\" (\n\t`Year`\tINT(11),\n\t`Entity Type`\tTEXT,\n\t`Entity Name`\tTEXT,\n\t`Department / Subdivision`\tTEXT,\n\t`Position`\tTEXT,\n\t`Elected Official`\tBOOLEAN,\n\t`Judicial`\tBOOLEAN,\n\t`Other Positions`\tTEXT,\n\t`Min Classification Salary`\tFLOAT,\n\t`Max Classification Salary`\tFLOAT,\n\t`Reported Base Wage`\tINT(11),\n\t`Regular Pay`\tFLOAT,\n\t`Overtime Pay`\tFLOAT,\n\t`Lump-Sum Pay`\tFLOAT,\n\t`Other Pay`\tFLOAT,\n\t`Total Wages`\tFLOAT,\n\t`Defined Benefit Plan`\tFLOAT,\n\t`Employees Retirement Cost Covered`\tFLOAT,\n\t`Deferred Compensation Plan`\tFLOAT,\n\t`Health Dental Vision`\tFLOAT,\n\t`Total Retirement and Health Cost`\tFLOAT,\n\t`Pension Formula`\tTEXT,\n\t`Entity Population`\tINT(11),\n\t`Entity County`\tTEXT\n)", "table": "salaries", "col_names": ["Year", "Entity Type", "Entity Name", "Department / Subdivision", "Position", "Elected Official", "Judicial", "Other Positions", "Min Classification Salary", "Max Classification Salary", "Reported Base Wage", "Regular Pay", "Overtime Pay", "Lump-Sum Pay", "Other Pay", "Total Wages", "Defined Benefit Plan", "Employees Retirement Cost Covered", "Deferred Compensation Plan", "Health Dental Vision", "Total Retirement and Health Cost", "Pension Formula", "Entity Population", "Entity County"]}, {"database": "usgs_lower_us", "sql": "CREATE TABLE quakes (\n    time DATETIME , \n    latitude FLOAT , \n    longitude FLOAT , \n    depth FLOAT , \n    mag FLOAT , \n    \"magType\" TEXT, \n    nst INT(11), \n    gap FLOAT, \n    dmin FLOAT, \n    rms FLOAT, \n    net TEXT , \n    id TEXT , \n    updated DATETIME , \n    place TEXT , \n    type TEXT , \n    \"horizontalError\" FLOAT, \n    \"depthError\" FLOAT, \n    \"magError\" FLOAT, \n    \"magNst\" INT(11), \n    status TEXT , \n    \"locationSource\" TEXT , \n    \"magSource\" TEXT \n)", "table": "quakes", "col_names": ["time", "latitude", "longitude", "depth", "mag", "magType", "nst", "gap", "dmin", "rms", "net", "id", "updated", "place", "type", "horizontalError", "depthError", "magError", "magNst", "status", "locationSource", "magSource"]}, {"database": "simplefolks", "sql": "CREATE TABLE \"homes\" (\n\t`owner_name`\tTEXT NOT NULL,\n\t`area`\tTEXT NOT NULL,\n\t`value`\tINT(11) NOT NULL\n)", "table": "homes", "col_names": ["owner_name", "area", "value"]}, {"database": "simplefolks", "sql": "CREATE TABLE \"people\" (\n\t`name`\tTEXT NOT NULL,\n\t`sex`\tTEXT NOT NULL,\n\t`age`\tINT(11) NOT NULL\n)", "table": "people", "col_names": ["name", "sex", "age"]}, {"database": "simplefolks", "sql": "CREATE TABLE \"pets\" (\n\t`name`\tTEXT NOT NULL,\n\t`type`\tTEXT NOT NULL,\n\t`owner_name`\tTEXT NOT NULL\n)", "table": "pets", "col_names": ["name", "type", "owner_name"]}, {"database": "simplefolks", "sql": "CREATE TABLE \"inmates\" (\n\t`id`\tTEXT,\n\t`first_name`\tTEXT,\n\t`last_name`\tTEXT,\n\t`birth_year`\tINT(11),\n\t`sentence_start`\tINT(11),\n\t`sentence_end`\tINT(11)\n)", "table": "inmates", "col_names": ["id", "first_name", "last_name", "birth_year", "sentence_start", "sentence_end"]}, {"database": "simplefolks", "sql": "CREATE TABLE \"politicians\" (\n\t`bioguide_id`\tTEXT,\n\t`position`\tTEXT,\n\t`state`\tTEXT,\n\t`party`\tTEXT,\n\t`first_name`\tTEXT,\n\t`last_name`\tTEXT,\n\t`birth_year`\tINT(11),\n\t`service_start`\tINT(11),\n\t`service_end`\tINT(11)\n)", "table": "politicians", "col_names": ["bioguide_id", "position", "state", "party", "first_name", "last_name", "birth_year", "service_start", "service_end"]}, {"database": "ssa_babynames_nationwide_since_1980", "sql": "CREATE TABLE \"babynames\" (\n\t`year`\tINT(11) NOT NULL,\n\t`name`\tTEXT,\n\t`sex`\tTEXT NOT NULL,\n\t`count`\tINT(11) NOT NULL,\n\t`rank_within_sex`\tINT(11) NOT NULL,\n\t`per_100k_within_sex`\tFLOAT NOT NULL\n)", "table": "babynames", "col_names": ["year", "name", "sex", "count", "rank_within_sex", "per_100k_within_sex"]}, {"database": "ssa_babynames_for_2015", "sql": "CREATE TABLE `babynames` (\n    `state` TEXT NOT NULL,\n    `year`  INT(11) NOT NULL,\n    `name`  TEXT NOT NULL,\n    `sex`   TEXT NOT NULL,\n    `count` INT(11) NOT NULL,\n    `rank_within_sex`   INT(11) NOT NULL,\n    `per_100k_within_sex`   FLOAT NOT NULL\n)", "table": "babynames", "col_names": ["state", "year", "name", "sex", "count", "rank_within_sex", "per_100k_within_sex"]}, {"database": "cdeschools", "sql": "CREATE TABLE schools (\n\t\"CDSCode\" VARCHAR(14) NOT NULL, \n\t\"NCESDist\" VARCHAR(7), \n\t\"NCESSchool\" VARCHAR(5), \n\t\"StatusType\" VARCHAR(7) NOT NULL, \n\t\"County\" VARCHAR(15) NOT NULL, \n\t\"District\" VARCHAR(74) NOT NULL, \n\t\"School\" VARCHAR(89), \n\t\"Street\" VARCHAR(62), \n\t\"StreetAbr\" VARCHAR(59), \n\t\"City\" VARCHAR(25), \n\t\"Zip\" VARCHAR(10), \n\t\"State\" VARCHAR(4), \n\t\"MailStreet\" VARCHAR(70), \n\t\"MailStrAbr\" VARCHAR(70), \n\t\"MailCity\" VARCHAR(22), \n\t\"MailZip\" VARCHAR(10), \n\t\"MailState\" VARCHAR(4), \n\t\"Phone\" VARCHAR(14), \n\t\"Ext\" VARCHAR(6), \n\t\"Website\" VARCHAR(96), \n\t\"OpenDate\" DATE, \n\t\"ClosedDate\" DATE, \n\t\"Charter\" BOOLEAN, \n\t\"CharterNum\" VARCHAR(4), \n\t\"FundingType\" VARCHAR(23), \n\t\"DOC\" VARCHAR(2) NOT NULL, \n\t\"DOCType\" VARCHAR(42) NOT NULL, \n\t\"SOC\" VARCHAR(4), \n\t\"SOCType\" VARCHAR(41), \n\t\"EdOpsCode\" VARCHAR(7), \n\t\"EdOpsName\" VARCHAR(43), \n\t\"EILCode\" VARCHAR(8), \n\t\"EILName\" VARCHAR(31), \n\t\"GSoffered\" VARCHAR(16), \n\t\"GSserved\" VARCHAR(5), \n\t\"Virtual\" VARCHAR(4), \n\t\"Magnet\" BOOLEAN, \n\t\"Latitude\" FLOAT, \n\t\"Longitude\" FLOAT, \n\t\"AdmFName1\" VARCHAR(17), \n\t\"AdmLName1\" VARCHAR(22), \n\t\"AdmEmail1\" VARCHAR(49), \n\t\"AdmFName2\" VARCHAR(15), \n\t\"AdmLName2\" VARCHAR(18), \n\t\"AdmEmail2\" VARCHAR(40), \n\t\"AdmFName3\" VARCHAR(8), \n\t\"AdmLName3\" VARCHAR(15), \n\t\"AdmEmail3\" VARCHAR(39), \n\t\"LastUpdate\" DATE NOT NULL, \n\tCHECK (\"Charter\" IN (0, 1)), \n\tCHECK (\"Magnet\" IN (0, 1))\n)", "table": "schools", "col_names": ["CDSCode", "NCESDist", "NCESSchool", "StatusType", "County", "District", "School", "Street", "StreetAbr", "City", "Zip", "State", "MailStreet", "MailStrAbr", "MailCity", "MailZip", "MailState", "Phone", "Ext", "Website", "OpenDate", "ClosedDate", "Charter", "CharterNum", "FundingType", "DOC", "DOCType", "SOC", "SOCType", "EdOpsCode", "EdOpsName", "EILCode", "EILName", "GSoffered", "GSserved", "Virtual", "Magnet", "Latitude", "Longitude", "AdmFName1", "AdmLName1", "AdmEmail1", "AdmFName2", "AdmLName2", "AdmEmail2", "AdmFName3", "AdmLName3", "AdmEmail3", "LastUpdate"]}, {"database": "cdeschools", "sql": "CREATE TABLE frpm (\n\t\"Academic Year\" VARCHAR(9), \n\t\"County Code\" VARCHAR(4), \n\t\"District Code\" INT(11), \n\t\"School Code\" VARCHAR(7), \n\t\"County Name\" VARCHAR(15), \n\t\"District Name\" VARCHAR(75), \n\t\"School Name\" VARCHAR(85), \n\t\"District Type\" VARCHAR(32), \n\t\"School Type\" VARCHAR(41), \n\t\"Educational Option Type\" VARCHAR(43), \n\t\"NSLP Provision Status\" VARCHAR(24), \n\t\"Charter School (Y/N)\" BOOLEAN, \n\t\"Charter School Number\" VARCHAR(4), \n\t\"Charter Funding Type\" VARCHAR(23), \n\t\"IRC\" BOOLEAN, \n\t\"Low Grade\" VARCHAR(5), \n\t\"High Grade\" VARCHAR(14), \n\t\"Enrollment (K-12)\" FLOAT, \n\t\"Free Meal Count (K-12)\" FLOAT, \n\t\"Percent (%) Eligible Free (K-12)\" FLOAT, \n\t\"FRPM Count (K-12)\" FLOAT, \n\t\"Percent (%) Eligible FRPM (K-12)\" FLOAT, \n\t\"Enrollment (Ages 5-17)\" FLOAT, \n\t\"Free Meal Count (Ages 5-17)\" FLOAT, \n\t\"Percent (%) Eligible Free (Ages 5-17)\" FLOAT, \n\t\"FRPM Count (Ages 5-17)\" FLOAT, \n\t\"Percent (%) Eligible FRPM (Ages 5-17)\" FLOAT, \n\t\"2013-14 CALPADS Fall 1 Certification Status\" BOOLEAN, \n\tCHECK (\"Charter School (Y/N)\" IN (0, 1)), \n\tCHECK (\"IRC\" IN (0, 1)), \n\tCHECK (\"2013-14 CALPADS Fall 1 Certification Status\" IN (0, 1))\n)", "table": "frpm", "col_names": ["Academic Year", "County Code", "District Code", "School Code", "County Name", "District Name", "School Name", "District Type", "School Type", "Educational Option Type", "NSLP Provision Status", "Charter School (Y/N)", "Charter School Number", "Charter Funding Type", "IRC", "Low Grade", "High Grade", "Enrollment (K-12)", "Free Meal Count (K-12)", "Percent (%) Eligible Free (K-12)", "FRPM Count (K-12)", "Percent (%) Eligible FRPM (K-12)", "Enrollment (Ages 5-17)", "Free Meal Count (Ages 5-17)", "Percent (%) Eligible Free (Ages 5-17)", "FRPM Count (Ages 5-17)", "Percent (%) Eligible FRPM (Ages 5-17)", "2013-14 CALPADS Fall 1 Certification Status"]}, {"database": "cdeschools", "sql": "CREATE TABLE satscores (\n\tcds VARCHAR(14) NOT NULL, \n\trtype VARCHAR(1) NOT NULL, \n\tsname VARCHAR(50), \n\tdname VARCHAR(50), \n\tcname VARCHAR(15), \n\tenroll12 INT(11) NOT NULL, \n\t\"NumTstTakr\" INT(11) NOT NULL, \n\t\"AvgScrRead\" INT(11), \n\t\"AvgScrMath\" INT(11), \n\t\"AvgScrWrite\" INT(11), \n\t\"NumGE1500\" INT(11), \n\t\"PctGE1500\" FLOAT\n)", "table": "satscores", "col_names": ["cds", "rtype", "sname", "dname", "cname", "enroll12", "NumTstTakr", "AvgScrRead", "AvgScrMath", "AvgScrWrite", "NumGE1500", "PctGE1500"]}, {"database": "census2000names", "sql": "CREATE TABLE surnames (\n    year INT(11) NOT NULL, \n    name TEXT, \n    rank INT(11) , \n    count INT(11), \n    prop100k FLOAT, \n    cum_prop100k FLOAT, \n    pctwhite FLOAT, \n    pctblack FLOAT, \n    pctapi FLOAT, \n    pctaian FLOAT, \n    pct2prace FLOAT, \n    pcthispanic FLOAT\n)", "table": "surnames", "col_names": ["year", "name", "rank", "count", "prop100k", "cum_prop100k", "pctwhite", "pctblack", "pctapi", "pctaian", "pct2prace", "pcthispanic"]}, {"database": "dallas_ois", "sql": "CREATE TABLE incidents (\n    case_number TEXT , \n    date DATE , \n    location TEXT , \n    subject_statuses TEXT , \n    subject_weapon TEXT , \n    subjects TEXT , \n    subject_count INT(11) , \n    officers TEXT , \n    officer_count INT(11) , \n    grand_jury_disposition TEXT, \n    attorney_general_forms_url TEXT, \n    summary_url TEXT, \n    summary_text TEXT, \n    latitude FLOAT, \n    longitude FLOAT\n)", "table": "incidents", "col_names": ["case_number", "date", "location", "subject_statuses", "subject_weapon", "subjects", "subject_count", "officers", "officer_count", "grand_jury_disposition", "attorney_general_forms_url", "summary_url", "summary_text", "latitude", "longitude"]}, {"database": "dallas_ois", "sql": "CREATE TABLE officers (\n    case_number TEXT , \n    race TEXT, \n    gender TEXT , \n    last_name TEXT , \n    first_name TEXT, \n    full_name TEXT \n)", "table": "officers", "col_names": ["case_number", "race", "gender", "last_name", "first_name", "full_name"]}, {"database": "dallas_ois", "sql": "CREATE TABLE subjects (\n    case_number TEXT , \n    race TEXT, \n    gender TEXT ,\n    last_name TEXT , \n    first_name TEXT, \n    full_name TEXT \n)", "table": "subjects", "col_names": ["case_number", "race", "gender", "last_name", "first_name", "full_name"]}, {"database": "acs_1_year_2015", "sql": "CREATE TABLE states (\n    year INT(11) , \n    name TEXT , \n    geo_id TEXT , \n    total_population INT(11) , \n    white INT(11) , \n    black INT(11) , \n    hispanic INT(11) , \n    asian INT(11) , \n    american_indian INT(11) , \n    pacific_islander INT(11) , \n    other_race INT(11) , \n    median_age FLOAT , \n    total_households INT(11) , \n    owner_occupied_homes_median_value INT(11) , \n    per_capita_income INT(11) , \n    median_household_income INT(11) , \n    below_poverty_line INT(11), \n    foreign_born_population INT(11), \n    state TEXT \n)", "table": "states", "col_names": ["year", "name", "geo_id", "total_population", "white", "black", "hispanic", "asian", "american_indian", "pacific_islander", "other_race", "median_age", "total_households", "owner_occupied_homes_median_value", "per_capita_income", "median_household_income", "below_poverty_line", "foreign_born_population", "state"]}, {"database": "acs_1_year_2015", "sql": "CREATE TABLE congressional_districts (\n    year INT(11) , \n    name TEXT , \n    geo_id TEXT , \n    total_population INT(11) , \n    white INT(11) , \n    black INT(11) , \n    hispanic INT(11) , \n    asian INT(11) , \n    american_indian INT(11) , \n    pacific_islander INT(11) , \n    other_race INT(11) , \n    median_age FLOAT , \n    total_households INT(11) , \n    owner_occupied_homes_median_value INT(11) , \n    per_capita_income INT(11) , \n    median_household_income INT(11) , \n    below_poverty_line INT(11), \n    foreign_born_population INT(11), \n    state TEXT,\n    congressional_district TEXT\n)", "table": "congressional_districts", "col_names": ["year", "name", "geo_id", "total_population", "white", "black", "hispanic", "asian", "american_indian", "pacific_islander", "other_race", "median_age", "total_households", "owner_occupied_homes_median_value", "per_capita_income", "median_household_income", "below_poverty_line", "foreign_born_population", "state", "congressional_district"]}, {"database": "acs_1_year_2015", "sql": "CREATE TABLE places (\n    year INT(11) , \n    name TEXT , \n    geo_id TEXT , \n    total_population INT(11) , \n    white INT(11) , \n    black INT(11) , \n    hispanic INT(11) , \n    asian INT(11) , \n    american_indian INT(11) , \n    pacific_islander INT(11) , \n    other_race INT(11) , \n    median_age FLOAT , \n    total_households INT(11) , \n    owner_occupied_homes_median_value INT(11) , \n    per_capita_income INT(11) , \n    median_household_income INT(11) , \n    below_poverty_line INT(11), \n    foreign_born_population INT(11), \n    state TEXT,\n    place TEXT\n)", "table": "places", "col_names": ["year", "name", "geo_id", "total_population", "white", "black", "hispanic", "asian", "american_indian", "pacific_islander", "other_race", "median_age", "total_households", "owner_occupied_homes_median_value", "per_capita_income", "median_household_income", "below_poverty_line", "foreign_born_population", "state", "place"]}]