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CREATE TABLE table_55739 ("Home team" TEXT, "Home team score" TEXT, "Away team" TEXT, "Away team score" TEXT, "Venue" TEXT, "Crowd" FLOAT, "Date" TEXT)
| What was the score of the away team at Junction Oval? | SELECT "Away team score" FROM table_55739 WHERE "Venue" = 'junction oval' | SELECT "Away team score" FROM "table_55739" WHERE "Venue" = 'junction oval' | 0.073242 |
CREATE TABLE table_name_9 (tournament VARCHAR, opponent_in_final VARCHAR)
| In which Tournament was Mansour Bahrami Eric Winogradsky | SELECT tournament FROM table_name_9 WHERE opponent_in_final = "mansour bahrami eric winogradsky" | SELECT "tournament" FROM "table_name_9" WHERE "mansour bahrami eric winogradsky" = "opponent_in_final" | 0.099609 |
CREATE TABLE laptimes (raceid DECIMAL, driverid DECIMAL, lap DECIMAL, position DECIMAL, time TEXT, milliseconds DECIMAL)
CREATE TABLE constructorstandings (constructorstandingsid DECIMAL, raceid DECIMAL, constructorid DECIMAL, points DECIMAL, position DECIMAL, positiontext TEXT, wins DECIMAL)
CREATE TABLE constructorresults (constructorresultsid DECIMAL, raceid DECIMAL, constructorid DECIMAL, points DECIMAL, status DECIMAL)
CREATE TABLE seasons (year DECIMAL, url TEXT)
CREATE TABLE pitstops (raceid DECIMAL, driverid DECIMAL, stop DECIMAL, lap DECIMAL, time TEXT, duration TEXT, milliseconds DECIMAL)
CREATE TABLE drivers (driverid DECIMAL, driverref TEXT, number DECIMAL, code TEXT, forename TEXT, surname TEXT, dob TEXT, nationality TEXT, url TEXT)
CREATE TABLE status (statusid DECIMAL, status TEXT)
CREATE TABLE circuits (circuitid DECIMAL, circuitref TEXT, name TEXT, location TEXT, country TEXT, lat DECIMAL, lng DECIMAL, alt DECIMAL, url TEXT)
CREATE TABLE races (raceid DECIMAL, year DECIMAL, round DECIMAL, circuitid DECIMAL, name TEXT, date TEXT, time TEXT, url TEXT)
CREATE TABLE results (resultid DECIMAL, raceid DECIMAL, driverid DECIMAL, constructorid DECIMAL, number DECIMAL, grid DECIMAL, position DECIMAL, positiontext TEXT, positionorder DECIMAL, points DECIMAL, laps DECIMAL, time TEXT, milliseconds DECIMAL, fastestlap DECIMAL, rank DECIMAL, fastestlaptime TEXT, fastestlapspeed TEXT, statusid DECIMAL)
CREATE TABLE constructors (constructorid DECIMAL, constructorref TEXT, name TEXT, nationality TEXT, url TEXT)
CREATE TABLE driverstandings (driverstandingsid DECIMAL, raceid DECIMAL, driverid DECIMAL, points DECIMAL, position DECIMAL, positiontext TEXT, wins DECIMAL)
CREATE TABLE qualifying (qualifyid DECIMAL, raceid DECIMAL, driverid DECIMAL, constructorid DECIMAL, number DECIMAL, position DECIMAL, q1 TEXT, q2 TEXT, q3 TEXT)
| What is the id and family name of the driver who has the longest laptime? | SELECT T1.driverid, T1.surname FROM drivers AS T1 JOIN laptimes AS T2 ON T1.driverid = T2.driverid ORDER BY T2.milliseconds DESC LIMIT 1 | SELECT "T1"."driverid", "T1"."surname" FROM "drivers" AS "T1" JOIN "laptimes" AS "T2" ON "T1"."driverid" = "T2"."driverid" ORDER BY "T2"."milliseconds" DESC NULLS LAST LIMIT 1 | 0.170898 |
CREATE TABLE table_name_42 (boat_builder VARCHAR, year_built VARCHAR, number VARCHAR)
| What is the boat builder for a boat built in 1910/11 and a number of 39? | SELECT boat_builder FROM table_name_42 WHERE year_built = "1910/11" AND number = 39 | SELECT "boat_builder" FROM "table_name_42" WHERE "1910/11" = "year_built" AND "number" = 39 | 0.088867 |
CREATE TABLE Player_Attributes (preferred_foot VARCHAR, overall_rating INT)
| Of all players with an overall rating greater than 80, how many are right-footed and left-footed? | SELECT preferred_foot, COUNT(*) FROM Player_Attributes WHERE overall_rating > 80 GROUP BY preferred_foot | SELECT "preferred_foot", COUNT(*) FROM "Player_Attributes" WHERE "overall_rating" > 80 GROUP BY "preferred_foot" | 0.109375 |
CREATE TABLE table_53136 ("Entrant" TEXT, "Constructor" TEXT, "Chassis" TEXT, "Engine" TEXT, "Driver" TEXT, "Rounds" TEXT)
| what was the engine when ken downing drove an entrant from connaught engineering? | SELECT "Engine" FROM table_53136 WHERE "Driver" = 'ken downing' AND "Entrant" = 'connaught engineering' | SELECT "Engine" FROM "table_53136" WHERE "Driver" = 'ken downing' AND "Entrant" = 'connaught engineering' | 0.102539 |
CREATE TABLE table_36874 ("Club" TEXT, "Sport" TEXT, "League" TEXT, "Venue" TEXT, "Established" FLOAT, "Championships" FLOAT)
| How many championships does Evergreen Premier League have? | SELECT MAX("Championships") FROM table_36874 WHERE "League" = 'evergreen premier league' | SELECT MAX("Championships") FROM "table_36874" WHERE "League" = 'evergreen premier league' | 0.087891 |
CREATE TABLE table_77525 ("Diagram ( s ) " TEXT, "Quantity" FLOAT, "Numbers" TEXT, "Completed" FLOAT, "Length" TEXT)
| What are the numbers for the item completed earlier than 1904? | SELECT "Numbers" FROM table_77525 WHERE "Completed" < '1904' | SELECT "Numbers" FROM "table_77525" WHERE "Completed" < '1904' | 0.060547 |
CREATE TABLE table_73584 ("Tournament" TEXT, "Games played" FLOAT, "Points per game" TEXT, "Rebounds per game" TEXT, "Assists per game" TEXT)
| How many games played have 4.7 as points per game? | SELECT "Games played" FROM table_73584 WHERE "Points per game" = '4.7' | SELECT "Games played" FROM "table_73584" WHERE "Points per game" = '4.7' | 0.070313 |
CREATE TABLE table_204_838 (id DECIMAL, "year" DECIMAL, "award" TEXT, "category" TEXT, "nominated work" TEXT, "result" TEXT)
| other than rough cut , name another movie that he won an award for in 2008 . | SELECT "nominated work" FROM table_204_838 WHERE "nominated work" <> 'rough cut' AND "year" = 2008 | SELECT "nominated work" FROM "table_204_838" WHERE "nominated work" <> 'rough cut' AND "year" = 2008 | 0.097656 |
CREATE TABLE table_name_28 (crowd VARCHAR, home_team VARCHAR)
| What was the crowd size in the match South Melbourne played at home? | SELECT crowd FROM table_name_28 WHERE home_team = "south melbourne" | SELECT "crowd" FROM "table_name_28" WHERE "home_team" = "south melbourne" | 0.071289 |
CREATE TABLE table_30508 ("Pick" FLOAT, "Player" TEXT, "Position" TEXT, "Nationality" TEXT, "NHL team" TEXT, "College/junior/club team" TEXT)
| Which team drafted the player from the HC Lada Togliatti (Russia)? | SELECT "NHL team" FROM table_30508 WHERE "College/junior/club team" = 'HC Lada Togliatti (Russia)' | SELECT "NHL team" FROM "table_30508" WHERE "College/junior/club team" = 'HC Lada Togliatti (Russia)' | 0.097656 |
CREATE TABLE table_name_12 (team__league_ VARCHAR, reg_gp INT)
| Which team has a Reg GP over 62? | SELECT team__league_ FROM table_name_12 WHERE reg_gp > 62 | SELECT "team__league_" FROM "table_name_12" WHERE "reg_gp" > 62 | 0.061523 |
CREATE TABLE table_17801022_1 (year INT, race_time VARCHAR)
| What year was the winning race time 1:55:13? | SELECT MAX(year) FROM table_17801022_1 WHERE race_time = "1:55:13" | SELECT MAX("year") FROM "table_17801022_1" WHERE "1:55:13" = "race_time" | 0.070313 |
CREATE TABLE products (code DECIMAL, name TEXT, price DECIMAL, manufacturer DECIMAL)
CREATE TABLE manufacturers (code DECIMAL, name TEXT, headquarter TEXT, founder TEXT, revenue DECIMAL)
| How many products are not made by Sony? | SELECT COUNT(DISTINCT name) FROM products WHERE NOT name IN (SELECT T1.name FROM products AS T1 JOIN manufacturers AS T2 ON T1.manufacturer = T2.code WHERE T2.name = 'Sony') | WITH "_u_0" AS (SELECT "T1"."name" FROM "products" AS "T1" JOIN "manufacturers" AS "T2" ON "T1"."manufacturer" = "T2"."code" AND "T2"."name" = 'Sony' GROUP BY "name") SELECT COUNT(DISTINCT "name") FROM "products" LEFT JOIN "_u_0" AS "_u_0" ON "_u_0"."" = "name" WHERE "_u_0"."" IS NULL | 0.27832 |
CREATE TABLE table_42429 ("Season" TEXT, "Tier" FLOAT, "League" TEXT, "Postseason" TEXT, "European competitions" TEXT)
| What is the Season when league shows bundesliga, and a European competition of played korac cup? | SELECT "Season" FROM table_42429 WHERE "League" = 'bundesliga' AND "European competitions" = 'played korac cup' | SELECT "Season" FROM "table_42429" WHERE "European competitions" = 'played korac cup' AND "League" = 'bundesliga' | 0.110352 |
CREATE TABLE table_165732_2 (title VARCHAR, episode__number VARCHAR)
| How many titles does Episode 2 have | SELECT COUNT(title) FROM table_165732_2 WHERE episode__number = 2 | SELECT COUNT("title") FROM "table_165732_2" WHERE "episode__number" = 2 | 0.069336 |
CREATE TABLE table_73335 ("Administrative division" TEXT, "Area ( km\\u00b2 ) 2005" TEXT, "Population 2010 Census" FLOAT, "Population 2011 SIAK Database" TEXT, "Population density ( /km\\u00b2 2010 ) " FLOAT)
| What is the area of cimahi city? | SELECT "Area (km\u00b2) 2005" FROM table_73335 WHERE "Administrative division" = 'Cimahi City' | SELECT "Area (km\u00b2) 2005" FROM "table_73335" WHERE "Administrative division" = 'Cimahi City' | 0.09375 |
CREATE TABLE table_name_22 (imprint VARCHAR, title VARCHAR)
| what is the imprint when the title is owari no chronicle (ahead series)? | SELECT imprint FROM table_name_22 WHERE title = "owari no chronicle (ahead series)" | SELECT "imprint" FROM "table_name_22" WHERE "owari no chronicle (ahead series)" = "title" | 0.086914 |
CREATE TABLE cost (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, event_type TEXT, event_id DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE chartevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE patients (row_id DECIMAL, subject_id DECIMAL, gender TEXT, dob TIME, dod TIME)
CREATE TABLE diagnoses_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE transfers (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, eventtype TEXT, careunit TEXT, wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE labevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE microbiologyevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, charttime TIME, spec_type_desc TEXT, org_name TEXT)
CREATE TABLE d_icd_procedures (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE icustays (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, first_careunit TEXT, last_careunit TEXT, first_wardid DECIMAL, last_wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE d_items (row_id DECIMAL, itemid DECIMAL, label TEXT, linksto TEXT)
CREATE TABLE outputevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, value DECIMAL)
CREATE TABLE d_icd_diagnoses (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE procedures_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE admissions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, admittime TIME, dischtime TIME, admission_type TEXT, admission_location TEXT, discharge_location TEXT, insurance TEXT, language TEXT, marital_status TEXT, ethnicity TEXT, age DECIMAL)
CREATE TABLE d_labitems (row_id DECIMAL, itemid DECIMAL, label TEXT)
CREATE TABLE prescriptions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, startdate TIME, enddate TIME, drug TEXT, dose_val_rx TEXT, dose_unit_rx TEXT, route TEXT)
CREATE TABLE inputevents_cv (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, amount DECIMAL)
| how much does the cost of von willebrand factor antigen are? | SELECT DISTINCT cost.cost FROM cost WHERE cost.event_type = 'labevents' AND cost.event_id IN (SELECT labevents.row_id FROM labevents WHERE labevents.itemid IN (SELECT d_labitems.itemid FROM d_labitems WHERE d_labitems.label = 'von willebrand factor antigen')) | WITH "_u_0" AS (SELECT "d_labitems"."itemid" FROM "d_labitems" WHERE "d_labitems"."label" = 'von willebrand factor antigen' GROUP BY "itemid"), "_u_1" AS (SELECT "labevents"."row_id" FROM "labevents" LEFT JOIN "_u_0" AS "_u_0" ON "_u_0"."" = "labevents"."itemid" WHERE NOT "_u_0"."" IS NULL GROUP BY "row_id") SELECT DISTINCT "cost"."cost" FROM "cost" LEFT JOIN "_u_1" AS "_u_1" ON "_u_1"."" = "cost"."event_id" WHERE "cost"."event_type" = 'labevents' AND NOT "_u_1"."" IS NULL | 0.46582 |
CREATE TABLE table_37813 ("Player" TEXT, "Touchdowns" FLOAT, "Extra points" FLOAT, "Field goals" FLOAT, "Points" FLOAT)
| Which Touchdowns have an Extra points smaller than 5, and a Player of clark, and Field goals larger than 0? | SELECT AVG("Touchdowns") FROM table_37813 WHERE "Extra points" < '5' AND "Player" = 'clark' AND "Field goals" > '0' | SELECT AVG("Touchdowns") FROM "table_37813" WHERE "Extra points" < '5' AND "Field goals" > '0' AND "Player" = 'clark' | 0.114258 |
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
| give me the number of patients whose age is less than 85 and diagnoses icd9 code is 53541? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.age < "85" AND diagnoses.icd9_code = "53541" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "53541" = "diagnoses"."icd9_code" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" WHERE "85" > "demographic"."age" | 0.202148 |
CREATE TABLE table_22399 ("Episode" TEXT, "Garfield Episode 1" TEXT, "U.S. Acres Episode" TEXT, "Garfield Episode 2" TEXT, "Original Airdate" TEXT)
| Which episode in Garfield episode 1 is the worst pizza in the history of mankind? | SELECT "Episode" FROM table_22399 WHERE "Garfield Episode 1" = 'The Worst Pizza in the History of Mankind' | SELECT "Episode" FROM "table_22399" WHERE "Garfield Episode 1" = 'The Worst Pizza in the History of Mankind' | 0.105469 |
CREATE TABLE table_12807904_3 (tries_for VARCHAR, drawn VARCHAR)
| HOW MANY GAMES WERE TIED AT 3? | SELECT tries_for FROM table_12807904_3 WHERE drawn = "3" | SELECT "tries_for" FROM "table_12807904_3" WHERE "3" = "drawn" | 0.060547 |
CREATE TABLE table_57581 ("Tie no" TEXT, "Home team" TEXT, "Score" TEXT, "Away team" TEXT, "Attendance" TEXT)
| Which Home team had attendance 160? | SELECT "Home team" FROM table_57581 WHERE "Attendance" = '160' | SELECT "Home team" FROM "table_57581" WHERE "Attendance" = '160' | 0.0625 |
CREATE TABLE table_23671 ("Malayalam name" TEXT, "Transliteration" TEXT, "Concurrent Gregorian months" TEXT, "Sanskrit word and meaning" TEXT, "Zodiac sign" TEXT)
| Name the malayalam name for leo | SELECT "Malayalam name" FROM table_23671 WHERE "Zodiac sign" = 'Leo' | SELECT "Malayalam name" FROM "table_23671" WHERE "Zodiac sign" = 'Leo' | 0.068359 |
CREATE TABLE table_24772 ("Season" TEXT, "Champion" TEXT, "Runner-Up" TEXT, "Result" TEXT, "League MVP" TEXT, "Finals MVP" TEXT, "Winning Coach" TEXT)
| What was the final score when River Plate was the runner-up? | SELECT "Result" FROM table_24772 WHERE "Runner-Up" = 'River Plate' | SELECT "Result" FROM "table_24772" WHERE "Runner-Up" = 'River Plate' | 0.066406 |
CREATE TABLE table_49093 ("Place" TEXT, "Player" TEXT, "Country" TEXT, "Score" TEXT, "To Par" FLOAT, "Money ( $ ) " FLOAT)
| What is the highest Money ( $ ), when To Par is less than 2? | SELECT MAX("Money ( $ )") FROM table_49093 WHERE "To Par" < '2' | SELECT MAX("Money ( $ )") FROM "table_49093" WHERE "To Par" < '2' | 0.063477 |
CREATE TABLE table_58688 ("Stage" TEXT, "Winner" TEXT, "General classification" TEXT, "Mountains classification" TEXT, "Points classification" TEXT, "Team Classification" TEXT)
| What general classification has david de la fuente as mountains classification, and thor hushovd as points classification? | SELECT "General classification" FROM table_58688 WHERE "Mountains classification" = 'david de la fuente' AND "Points classification" = 'thor hushovd' | SELECT "General classification" FROM "table_58688" WHERE "Mountains classification" = 'david de la fuente' AND "Points classification" = 'thor hushovd' | 0.147461 |
CREATE TABLE repair (repair_ID INT, name TEXT, Launch_Date TEXT, Notes TEXT)
CREATE TABLE technician (technician_id FLOAT, Name TEXT, Team TEXT, Starting_Year FLOAT, Age INT)
CREATE TABLE machine (Machine_ID INT, Making_Year INT, Class TEXT, Team TEXT, Machine_series TEXT, value_points FLOAT, quality_rank INT)
CREATE TABLE repair_assignment (technician_id INT, repair_ID INT, Machine_ID INT)
| Give me a histogram for what are the names of the technicians and how many machines are they assigned to repair?, display the total number in ascending order. | SELECT Name, COUNT(*) FROM repair_assignment AS T1 JOIN technician AS T2 ON T1.technician_id = T2.technician_id GROUP BY T2.Name ORDER BY COUNT(*) | SELECT "Name", COUNT(*) FROM "repair_assignment" AS "T1" JOIN "technician" AS "T2" ON "T1"."technician_id" = "T2"."technician_id" GROUP BY "T2"."Name" ORDER BY COUNT(*) NULLS FIRST | 0.175781 |
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
| what is age and discharge location of subject id 6983? | SELECT demographic.age, demographic.discharge_location FROM demographic WHERE demographic.subject_id = "6983" | SELECT "demographic"."age", "demographic"."discharge_location" FROM "demographic" WHERE "6983" = "demographic"."subject_id" | 0.120117 |
CREATE TABLE operate_company (id DECIMAL, name TEXT, type TEXT, principal_activities TEXT, incorporated_in TEXT, group_equity_shareholding DECIMAL)
CREATE TABLE flight (id DECIMAL, vehicle_flight_number TEXT, date TEXT, pilot TEXT, velocity DECIMAL, altitude DECIMAL, airport_id DECIMAL, company_id DECIMAL)
CREATE TABLE airport (id DECIMAL, city TEXT, country TEXT, iata TEXT, icao TEXT, name TEXT)
| What is the velocity of the pilot named 'Thompson'? | SELECT AVG(velocity) FROM flight WHERE pilot = 'Thompson' | SELECT AVG("velocity") FROM "flight" WHERE "pilot" = 'Thompson' | 0.061523 |
CREATE TABLE table_name_25 (opponents_in_final VARCHAR, date VARCHAR)
| Which Opponents in Final has a Date of september 16, 1990? | SELECT opponents_in_final FROM table_name_25 WHERE date = "september 16, 1990" | SELECT "opponents_in_final" FROM "table_name_25" WHERE "date" = "september 16, 1990" | 0.082031 |
CREATE TABLE table_20107 ("No" FLOAT, "Driver" TEXT, "Entrant" TEXT, "Constructor" TEXT, "Chassis" TEXT, "Engine" TEXT)
| Who drove car 44? | SELECT "Driver" FROM table_20107 WHERE "No" = '44' | SELECT "Driver" FROM "table_20107" WHERE "No" = '44' | 0.050781 |
CREATE TABLE table_36594 ("Date" TEXT, "Visitor" TEXT, "Score" TEXT, "Home" TEXT, "Record" TEXT, "Attendance" FLOAT)
| How many people attended the game on October 31? | SELECT "Attendance" FROM table_36594 WHERE "Date" = 'october 31' | SELECT "Attendance" FROM "table_36594" WHERE "Date" = 'october 31' | 0.064453 |
CREATE TABLE table_name_40 (fastest_time__s_ VARCHAR, athlete VARCHAR)
| What is the fastest time for athlete Jason Smyth? | SELECT fastest_time__s_ FROM table_name_40 WHERE athlete = "jason smyth" | SELECT "fastest_time__s_" FROM "table_name_40" WHERE "athlete" = "jason smyth" | 0.076172 |
CREATE TABLE table_name_85 (position VARCHAR, player VARCHAR)
| What is Thad Jemison's position? | SELECT position FROM table_name_85 WHERE player = "thad jemison" | SELECT "position" FROM "table_name_85" WHERE "player" = "thad jemison" | 0.068359 |
CREATE TABLE table_47173 ("Player" TEXT, "Country" TEXT, "Year ( s ) won" TEXT, "Total" FLOAT, "To par" TEXT, "Finish" TEXT)
| What is fuzzy zoeller's to par? | SELECT "To par" FROM table_47173 WHERE "Player" = 'fuzzy zoeller' | SELECT "To par" FROM "table_47173" WHERE "Player" = 'fuzzy zoeller' | 0.06543 |
CREATE TABLE table_15961 ("Song" TEXT, "Mobiles" FLOAT, "Northern Ireland" FLOAT, "Northern England" FLOAT, "Scotland" FLOAT, "Southern England" FLOAT, "Wales" FLOAT, "Total" FLOAT)
| How many votes did Northern Ireland cast if the total was 35? | SELECT "Northern Ireland" FROM table_15961 WHERE "Total" = '35' | SELECT "Northern Ireland" FROM "table_15961" WHERE "Total" = '35' | 0.063477 |
CREATE TABLE table_name_67 (investment_income VARCHAR, other_income_sources VARCHAR, state_pensions VARCHAR, self_employed VARCHAR)
| State pensions of 7%, and a Self employed of 7%, and a Other income sources of 2% has what investment income? | SELECT investment_income FROM table_name_67 WHERE state_pensions = "7%" AND self_employed = "7%" AND other_income_sources = "2%" | SELECT "investment_income" FROM "table_name_67" WHERE "2%" = "other_income_sources" AND "7%" = "self_employed" AND "7%" = "state_pensions" | 0.134766 |
CREATE TABLE table_32239 ("Home team" TEXT, "Home team score" TEXT, "Away team" TEXT, "Away team score" TEXT, "Venue" TEXT, "Crowd" FLOAT, "Date" TEXT)
| What was North Melbourne's score when they were the home team? | SELECT "Home team score" FROM table_32239 WHERE "Home team" = 'north melbourne' | SELECT "Home team score" FROM "table_32239" WHERE "Home team" = 'north melbourne' | 0.079102 |
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
| how many patients whose death status is 0 and drug name is loperamide? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.expire_flag = "0" AND prescriptions.drug = "Loperamide" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "prescriptions" ON "Loperamide" = "prescriptions"."drug" AND "demographic"."hadm_id" = "prescriptions"."hadm_id" WHERE "0" = "demographic"."expire_flag" | 0.220703 |
CREATE TABLE table_name_1 (total INT, bronze VARCHAR, gold VARCHAR)
| what is the total when bronze is more than 1 and gold smaller than 1? | SELECT SUM(total) FROM table_name_1 WHERE bronze > 1 AND gold < 1 | SELECT SUM("total") FROM "table_name_1" WHERE "bronze" > 1 AND "gold" < 1 | 0.071289 |
CREATE TABLE table_36390 ("Date" TEXT, "Visitor" TEXT, "Score" TEXT, "Home" TEXT, "Decision" TEXT, "Attendance" FLOAT, "Series" TEXT)
| How many Attendances on may 24? | SELECT MIN("Attendance") FROM table_36390 WHERE "Date" = 'may 24' | SELECT MIN("Attendance") FROM "table_36390" WHERE "Date" = 'may 24' | 0.06543 |
CREATE TABLE table_name_54 (population INT, area_km_2 VARCHAR, official_name VARCHAR)
| With an Area km 2 of less than 130.68, what is McAdam's Population? | SELECT SUM(population) FROM table_name_54 WHERE area_km_2 < 130.68 AND official_name = "mcadam" | SELECT SUM("population") FROM "table_name_54" WHERE "area_km_2" < 130.68 AND "mcadam" = "official_name" | 0.100586 |
CREATE TABLE table_name_48 (opposing_team VARCHAR, venue VARCHAR, against VARCHAR, status VARCHAR)
| Which opposing team had an Against score less than 42 and a Tour Match status in Rugby Park, Gisborne? | SELECT opposing_team FROM table_name_48 WHERE against < 42 AND status = "tour match" AND venue = "rugby park, gisborne" | SELECT "opposing_team" FROM "table_name_48" WHERE "against" < 42 AND "rugby park, gisborne" = "venue" AND "status" = "tour match" | 0.125977 |
CREATE TABLE city (city_code VARCHAR, city_name VARCHAR, state_code VARCHAR, country_name VARCHAR, time_zone_code VARCHAR)
CREATE TABLE food_service (meal_code TEXT, meal_number INT, compartment TEXT, meal_description VARCHAR)
CREATE TABLE date_day (month_number INT, day_number INT, year INT, day_name VARCHAR)
CREATE TABLE flight_stop (flight_id INT, stop_number INT, stop_days TEXT, stop_airport TEXT, arrival_time INT, arrival_airline TEXT, arrival_flight_number INT, departure_time INT, departure_airline TEXT, departure_flight_number INT, stop_time INT)
CREATE TABLE days (days_code VARCHAR, day_name VARCHAR)
CREATE TABLE time_zone (time_zone_code TEXT, time_zone_name TEXT, hours_from_gmt INT)
CREATE TABLE fare_basis (fare_basis_code TEXT, booking_class TEXT, class_type TEXT, premium TEXT, economy TEXT, discounted TEXT, night TEXT, season TEXT, basis_days TEXT)
CREATE TABLE class_of_service (booking_class VARCHAR, rank INT, class_description TEXT)
CREATE TABLE airline (airline_code VARCHAR, airline_name TEXT, note TEXT)
CREATE TABLE state (state_code TEXT, state_name TEXT, country_name TEXT)
CREATE TABLE restriction (restriction_code TEXT, advance_purchase INT, stopovers TEXT, saturday_stay_required TEXT, minimum_stay INT, maximum_stay INT, application TEXT, no_discounts TEXT)
CREATE TABLE flight_leg (flight_id INT, leg_number INT, leg_flight INT)
CREATE TABLE ground_service (city_code TEXT, airport_code TEXT, transport_type TEXT, ground_fare INT)
CREATE TABLE airport (airport_code VARCHAR, airport_name TEXT, airport_location TEXT, state_code VARCHAR, country_name VARCHAR, time_zone_code VARCHAR, minimum_connect_time INT)
CREATE TABLE airport_service (city_code VARCHAR, airport_code VARCHAR, miles_distant INT, direction VARCHAR, minutes_distant INT)
CREATE TABLE month (month_number INT, month_name TEXT)
CREATE TABLE code_description (code VARCHAR, description TEXT)
CREATE TABLE flight (aircraft_code_sequence TEXT, airline_code VARCHAR, airline_flight TEXT, arrival_time INT, connections INT, departure_time INT, dual_carrier TEXT, flight_days TEXT, flight_id INT, flight_number INT, from_airport VARCHAR, meal_code TEXT, stops INT, time_elapsed INT, to_airport VARCHAR)
CREATE TABLE time_interval (period TEXT, begin_time INT, end_time INT)
CREATE TABLE compartment_class (compartment VARCHAR, class_type VARCHAR)
CREATE TABLE aircraft (aircraft_code VARCHAR, aircraft_description VARCHAR, manufacturer VARCHAR, basic_type VARCHAR, engines INT, propulsion VARCHAR, wide_body VARCHAR, wing_span INT, length INT, weight INT, capacity INT, pay_load INT, cruising_speed INT, range_miles INT, pressurized VARCHAR)
CREATE TABLE flight_fare (flight_id INT, fare_id INT)
CREATE TABLE dual_carrier (main_airline VARCHAR, low_flight_number INT, high_flight_number INT, dual_airline VARCHAR, service_name TEXT)
CREATE TABLE equipment_sequence (aircraft_code_sequence VARCHAR, aircraft_code VARCHAR)
CREATE TABLE fare (fare_id INT, from_airport VARCHAR, to_airport VARCHAR, fare_basis_code TEXT, fare_airline TEXT, restriction_code TEXT, one_direction_cost INT, round_trip_cost INT, round_trip_required VARCHAR)
| ground transportation MINNEAPOLIS | SELECT DISTINCT ground_service.transport_type FROM city, ground_service WHERE city.city_name = 'MINNEAPOLIS' AND ground_service.city_code = city.city_code | SELECT DISTINCT "ground_service"."transport_type" FROM "city" JOIN "ground_service" ON "city"."city_code" = "ground_service"."city_code" WHERE "city"."city_name" = 'MINNEAPOLIS' | 0.172852 |
CREATE TABLE table_204_53 (id DECIMAL, "date" TEXT, "result" TEXT, "opponent" TEXT, "event" TEXT, "location" TEXT, "method" TEXT, "round" DECIMAL, "time" TEXT)
| how many rounds did the fight against ibrahim benazza last ? | SELECT "round" FROM table_204_53 WHERE "opponent" = 'ibrahim benazza' | SELECT "round" FROM "table_204_53" WHERE "opponent" = 'ibrahim benazza' | 0.069336 |
CREATE TABLE table_14727 ("Date" TEXT, "Home captain" TEXT, "Away captain" TEXT, "Venue" TEXT, "Result" TEXT)
| Who is the Home Captain for 23,24,25,26 july 1992? | SELECT "Home captain" FROM table_14727 WHERE "Date" = '23,24,25,26 july 1992' | SELECT "Home captain" FROM "table_14727" WHERE "Date" = '23,24,25,26 july 1992' | 0.077148 |
CREATE TABLE TagSynonyms (Id DECIMAL, SourceTagName TEXT, TargetTagName TEXT, CreationDate TIME, OwnerUserId DECIMAL, AutoRenameCount DECIMAL, LastAutoRename TIME, Score DECIMAL, ApprovedByUserId DECIMAL, ApprovalDate TIME)
CREATE TABLE ReviewTaskTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE PostHistoryTypes (Id DECIMAL, Name TEXT)
CREATE TABLE PostNotices (Id DECIMAL, PostId DECIMAL, PostNoticeTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body TEXT, OwnerUserId DECIMAL, DeletionUserId DECIMAL)
CREATE TABLE CloseReasonTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE Comments (Id DECIMAL, PostId DECIMAL, Score DECIMAL, Text TEXT, CreationDate TIME, UserDisplayName TEXT, UserId DECIMAL, ContentLicense TEXT)
CREATE TABLE PostFeedback (Id DECIMAL, PostId DECIMAL, IsAnonymous BOOLEAN, VoteTypeId DECIMAL, CreationDate TIME)
CREATE TABLE ReviewTasks (Id DECIMAL, ReviewTaskTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId DECIMAL, PostId DECIMAL, SuggestedEditId DECIMAL, CompletedByReviewTaskId DECIMAL)
CREATE TABLE PostLinks (Id DECIMAL, CreationDate TIME, PostId DECIMAL, RelatedPostId DECIMAL, LinkTypeId DECIMAL)
CREATE TABLE ReviewTaskResultTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE PostHistory (Id DECIMAL, PostHistoryTypeId DECIMAL, PostId DECIMAL, RevisionGUID other, CreationDate TIME, UserId DECIMAL, UserDisplayName TEXT, Comment TEXT, Text TEXT, ContentLicense TEXT)
CREATE TABLE Badges (Id DECIMAL, UserId DECIMAL, Name TEXT, Date TIME, Class DECIMAL, TagBased BOOLEAN)
CREATE TABLE PostsWithDeleted (Id DECIMAL, PostTypeId DECIMAL, AcceptedAnswerId DECIMAL, ParentId DECIMAL, CreationDate TIME, DeletionDate TIME, Score DECIMAL, ViewCount DECIMAL, Body TEXT, OwnerUserId DECIMAL, OwnerDisplayName TEXT, LastEditorUserId DECIMAL, LastEditorDisplayName TEXT, LastEditDate TIME, LastActivityDate TIME, Title TEXT, Tags TEXT, AnswerCount DECIMAL, CommentCount DECIMAL, FavoriteCount DECIMAL, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense TEXT)
CREATE TABLE PostTypes (Id DECIMAL, Name TEXT)
CREATE TABLE PostNoticeTypes (Id DECIMAL, ClassId DECIMAL, Name TEXT, Body TEXT, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId DECIMAL)
CREATE TABLE ReviewTaskResults (Id DECIMAL, ReviewTaskId DECIMAL, ReviewTaskResultTypeId DECIMAL, CreationDate TIME, RejectionReasonId DECIMAL, Comment TEXT)
CREATE TABLE PostTags (PostId DECIMAL, TagId DECIMAL)
CREATE TABLE PendingFlags (Id DECIMAL, FlagTypeId DECIMAL, PostId DECIMAL, CreationDate TIME, CloseReasonTypeId DECIMAL, CloseAsOffTopicReasonTypeId DECIMAL, DuplicateOfQuestionId DECIMAL, BelongsOnBaseHostAddress TEXT)
CREATE TABLE Tags (Id DECIMAL, TagName TEXT, Count DECIMAL, ExcerptPostId DECIMAL, WikiPostId DECIMAL)
CREATE TABLE ReviewRejectionReasons (Id DECIMAL, Name TEXT, Description TEXT, PostTypeId DECIMAL)
CREATE TABLE FlagTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE Votes (Id DECIMAL, PostId DECIMAL, VoteTypeId DECIMAL, UserId DECIMAL, CreationDate TIME, BountyAmount DECIMAL)
CREATE TABLE VoteTypes (Id DECIMAL, Name TEXT)
CREATE TABLE Users (Id DECIMAL, Reputation DECIMAL, CreationDate TIME, DisplayName TEXT, LastAccessDate TIME, WebsiteUrl TEXT, Location TEXT, AboutMe TEXT, Views DECIMAL, UpVotes DECIMAL, DownVotes DECIMAL, ProfileImageUrl TEXT, EmailHash TEXT, AccountId DECIMAL)
CREATE TABLE SuggestedEdits (Id DECIMAL, PostId DECIMAL, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId DECIMAL, Comment TEXT, Text TEXT, Title TEXT, Tags TEXT, RevisionGUID other)
CREATE TABLE ReviewTaskStates (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE CloseAsOffTopicReasonTypes (Id DECIMAL, IsUniversal BOOLEAN, InputTitle TEXT, MarkdownInputGuidance TEXT, MarkdownPostOwnerGuidance TEXT, MarkdownPrivilegedUserGuidance TEXT, MarkdownConcensusDescription TEXT, CreationDate TIME, CreationModeratorId DECIMAL, ApprovalDate TIME, ApprovalModeratorId DECIMAL, DeactivationDate TIME, DeactivationModeratorId DECIMAL)
CREATE TABLE SuggestedEditVotes (Id DECIMAL, SuggestedEditId DECIMAL, UserId DECIMAL, VoteTypeId DECIMAL, CreationDate TIME, TargetUserId DECIMAL, TargetRepChange DECIMAL)
CREATE TABLE Posts (Id DECIMAL, PostTypeId DECIMAL, AcceptedAnswerId DECIMAL, ParentId DECIMAL, CreationDate TIME, DeletionDate TIME, Score DECIMAL, ViewCount DECIMAL, Body TEXT, OwnerUserId DECIMAL, OwnerDisplayName TEXT, LastEditorUserId DECIMAL, LastEditorDisplayName TEXT, LastEditDate TIME, LastActivityDate TIME, Title TEXT, Tags TEXT, AnswerCount DECIMAL, CommentCount DECIMAL, FavoriteCount DECIMAL, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense TEXT)
| Questions needing attention to avoid Roomba carnage - only me. | SELECT Posts.Title, Posts.CreationDate, Posts.OwnerUserId, Users.DisplayName, ViewCount, Posts.Id AS "post_link", Tags FROM Posts, Users WHERE Users.Id = Posts.OwnerUserId AND Posts.PostTypeId = 1 AND Users.DisplayName = 'Franck Dernoncourt' ORDER BY Posts.CreationDate | SELECT "Posts"."Title", "Posts"."CreationDate", "Posts"."OwnerUserId", "Users"."DisplayName", "ViewCount", "Posts"."Id" AS "post_link", "Tags" FROM "Posts" JOIN "Users" ON "Posts"."OwnerUserId" = "Users"."Id" AND "Users"."DisplayName" = 'Franck Dernoncourt' WHERE "Posts"."PostTypeId" = 1 ORDER BY "Posts"."CreationDate" NULLS FIRST | 0.324219 |
CREATE TABLE table_44177 ("Place" TEXT, "Player" TEXT, "Country" TEXT, "Score" TEXT, "To par" TEXT)
| who is the player when the place is t5 and the score is 69-66-71=206? | SELECT "Player" FROM table_44177 WHERE "Place" = 't5' AND "Score" = '69-66-71=206' | SELECT "Player" FROM "table_44177" WHERE "Place" = 't5' AND "Score" = '69-66-71=206' | 0.082031 |
CREATE TABLE table_name_89 (english_title VARCHAR, year VARCHAR)
| What is the English title of the film from 2001? | SELECT english_title FROM table_name_89 WHERE year = 2001 | SELECT "english_title" FROM "table_name_89" WHERE "year" = 2001 | 0.061523 |
CREATE TABLE table_204_670 (id DECIMAL, "week" DECIMAL, "date" TEXT, "opponent" TEXT, "result" TEXT, "record" TEXT, "attendance" DECIMAL)
| what is the number of fans who attended the december 7 , 1969 game against the broncos ? | SELECT "attendance" FROM table_204_670 WHERE "date" = 'december 7, 1969' | SELECT "attendance" FROM "table_204_670" WHERE "date" = 'december 7, 1969' | 0.072266 |
CREATE TABLE storm (Storm_ID INT, Name TEXT, Dates_active TEXT, Max_speed INT, Damage_millions_USD FLOAT, Number_Deaths INT)
CREATE TABLE region (Region_id INT, Region_code TEXT, Region_name TEXT)
CREATE TABLE affected_region (Region_id INT, Storm_ID INT, Number_city_affected FLOAT)
| For all storms with at least 1 death, compare the number of deaths by name. | SELECT Name, Number_Deaths FROM storm WHERE Number_Deaths >= 1 | SELECT "Name", "Number_Deaths" FROM "storm" WHERE "Number_Deaths" >= 1 | 0.068359 |
CREATE TABLE patients (row_id DECIMAL, subject_id DECIMAL, gender TEXT, dob TIME, dod TIME)
CREATE TABLE icustays (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, first_careunit TEXT, last_careunit TEXT, first_wardid DECIMAL, last_wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE admissions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, admittime TIME, dischtime TIME, admission_type TEXT, admission_location TEXT, discharge_location TEXT, insurance TEXT, language TEXT, marital_status TEXT, ethnicity TEXT, age DECIMAL)
CREATE TABLE d_labitems (row_id DECIMAL, itemid DECIMAL, label TEXT)
CREATE TABLE d_items (row_id DECIMAL, itemid DECIMAL, label TEXT, linksto TEXT)
CREATE TABLE inputevents_cv (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, amount DECIMAL)
CREATE TABLE d_icd_procedures (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE outputevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, value DECIMAL)
CREATE TABLE prescriptions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, startdate TIME, enddate TIME, drug TEXT, dose_val_rx TEXT, dose_unit_rx TEXT, route TEXT)
CREATE TABLE procedures_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE diagnoses_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE chartevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE cost (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, event_type TEXT, event_id DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE transfers (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, eventtype TEXT, careunit TEXT, wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE microbiologyevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, charttime TIME, spec_type_desc TEXT, org_name TEXT)
CREATE TABLE d_icd_diagnoses (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE labevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
| the arterial bp [systolic] of patient 12775 last measured on the current intensive care unit visit is greater than the value first measured on the current intensive care unit visit? | SELECT (SELECT chartevents.valuenum FROM chartevents WHERE chartevents.icustay_id IN (SELECT icustays.icustay_id FROM icustays WHERE icustays.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 12775) AND icustays.outtime IS NULL) AND chartevents.itemid IN (SELECT d_items.itemid FROM d_items WHERE d_items.label = 'arterial bp [systolic]' AND d_items.linksto = 'chartevents') ORDER BY chartevents.charttime DESC LIMIT 1) > (SELECT chartevents.valuenum FROM chartevents WHERE chartevents.icustay_id IN (SELECT icustays.icustay_id FROM icustays WHERE icustays.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 12775) AND icustays.outtime IS NULL) AND chartevents.itemid IN (SELECT d_items.itemid FROM d_items WHERE d_items.label = 'arterial bp [systolic]' AND d_items.linksto = 'chartevents') ORDER BY chartevents.charttime LIMIT 1) | WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 12775 GROUP BY "hadm_id"), "_u_1" AS (SELECT "icustays"."icustay_id" FROM "icustays" LEFT JOIN "_u_0" AS "_u_0" ON "_u_0"."" = "icustays"."hadm_id" WHERE "icustays"."outtime" IS NULL AND NOT "_u_0"."" IS NULL GROUP BY "icustay_id"), "_u_2" AS (SELECT "d_items"."itemid" FROM "d_items" WHERE "d_items"."label" = 'arterial bp [systolic]' AND "d_items"."linksto" = 'chartevents' GROUP BY "itemid"), "_u_5" AS (SELECT "icustays"."icustay_id" FROM "icustays" LEFT JOIN "_u_0" AS "_u_4" ON "_u_4"."" = "icustays"."hadm_id" WHERE "icustays"."outtime" IS NULL AND NOT "_u_4"."" IS NULL GROUP BY "icustay_id") SELECT (SELECT "chartevents"."valuenum" FROM "chartevents" LEFT JOIN "_u_1" AS "_u_1" ON "_u_1"."" = "chartevents"."icustay_id" LEFT JOIN "_u_2" AS "_u_2" ON "_u_2"."" = "chartevents"."itemid" WHERE NOT "_u_1"."" IS NULL AND NOT "_u_2"."" IS NULL ORDER BY "chartevents"."charttime" DESC NULLS LAST LIMIT 1) > (SELECT "chartevents"."valuenum" FROM "chartevents" LEFT JOIN "_u_5" AS "_u_5" ON "_u_5"."" = "chartevents"."icustay_id" LEFT JOIN "_u_2" AS "_u_6" ON "_u_6"."" = "chartevents"."itemid" WHERE NOT "_u_5"."" IS NULL AND NOT "_u_6"."" IS NULL ORDER BY "chartevents"."charttime" NULLS FIRST LIMIT 1) | 1.272461 |
CREATE TABLE table_17140608_7 (high_rebounds VARCHAR, date VARCHAR)
| Who had the high rebound total on january 6? | SELECT high_rebounds FROM table_17140608_7 WHERE date = "January 6" | SELECT "high_rebounds" FROM "table_17140608_7" WHERE "January 6" = "date" | 0.071289 |
CREATE TABLE table_name_90 (against INT, central_murray VARCHAR, wins VARCHAR)
| What is the number of against when Central Murray is Tooleybuc Manangatang and there are fewer than 13 wins? | SELECT MAX(against) FROM table_name_90 WHERE central_murray = "tooleybuc manangatang" AND wins < 13 | SELECT MAX("against") FROM "table_name_90" WHERE "central_murray" = "tooleybuc manangatang" AND "wins" < 13 | 0.104492 |
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
| How many patients underwent the procedure with the short title of procedure-two vessels that were discharged to skilled nursing facility? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.discharge_location = "SHORT TERM HOSPITAL" AND procedures.short_title = "Procedure-two vessels" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "procedures" ON "Procedure-two vessels" = "procedures"."short_title" AND "demographic"."hadm_id" = "procedures"."hadm_id" WHERE "SHORT TERM HOSPITAL" = "demographic"."discharge_location" | 0.253906 |
CREATE TABLE outputevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, value DECIMAL)
CREATE TABLE chartevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE diagnoses_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE admissions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, admittime TIME, dischtime TIME, admission_type TEXT, admission_location TEXT, discharge_location TEXT, insurance TEXT, language TEXT, marital_status TEXT, ethnicity TEXT, age DECIMAL)
CREATE TABLE prescriptions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, startdate TIME, enddate TIME, drug TEXT, dose_val_rx TEXT, dose_unit_rx TEXT, route TEXT)
CREATE TABLE microbiologyevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, charttime TIME, spec_type_desc TEXT, org_name TEXT)
CREATE TABLE cost (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, event_type TEXT, event_id DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE d_labitems (row_id DECIMAL, itemid DECIMAL, label TEXT)
CREATE TABLE procedures_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE d_icd_procedures (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE inputevents_cv (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, amount DECIMAL)
CREATE TABLE labevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE d_items (row_id DECIMAL, itemid DECIMAL, label TEXT, linksto TEXT)
CREATE TABLE patients (row_id DECIMAL, subject_id DECIMAL, gender TEXT, dob TIME, dod TIME)
CREATE TABLE transfers (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, eventtype TEXT, careunit TEXT, wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE d_icd_diagnoses (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE icustays (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, first_careunit TEXT, last_careunit TEXT, first_wardid DECIMAL, last_wardid DECIMAL, intime TIME, outtime TIME)
| how much did patient 25997 spend for their hospital stay in 2100? | SELECT SUM(cost.cost) FROM cost WHERE cost.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 25997) AND STRFTIME('%y', cost.chargetime) = '2100' | WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 25997 GROUP BY "hadm_id") SELECT SUM("cost"."cost") FROM "cost" LEFT JOIN "_u_0" AS "_u_0" ON "_u_0"."" = "cost"."hadm_id" WHERE NOT "_u_0"."" IS NULL AND STRFTIME('%y', "cost"."chargetime") = '2100' | 0.290039 |
CREATE TABLE table_29195 ("No. in series" FLOAT, "Title" TEXT, "Directed by" TEXT, "Written by" TEXT, "Original airdate" TEXT, "Production code" TEXT)
| Who directed the episode with production code 693-004? | SELECT "Directed by" FROM table_29195 WHERE "Production code" = '693-004' | SELECT "Directed by" FROM "table_29195" WHERE "Production code" = '693-004' | 0.073242 |
CREATE TABLE table_name_68 (variant VARCHAR, launch_site VARCHAR)
| What Variant has a Launch site that is white sands? | SELECT variant FROM table_name_68 WHERE launch_site = "white sands" | SELECT "variant" FROM "table_name_68" WHERE "launch_site" = "white sands" | 0.071289 |
CREATE TABLE status (station_id INT, bikes_available INT, docks_available INT, time TEXT)
CREATE TABLE trip (id INT, duration INT, start_date TEXT, start_station_name TEXT, start_station_id INT, end_date TEXT, end_station_name TEXT, end_station_id INT, bike_id INT, subscription_type TEXT, zip_code INT)
CREATE TABLE station (id INT, name TEXT, lat DECIMAL, long DECIMAL, dock_count INT, city TEXT, installation_date TEXT)
CREATE TABLE weather (date TEXT, max_temperature_f INT, mean_temperature_f INT, min_temperature_f INT, max_dew_point_f INT, mean_dew_point_f INT, min_dew_point_f INT, max_humidity INT, mean_humidity INT, min_humidity INT, max_sea_level_pressure_inches DECIMAL, mean_sea_level_pressure_inches DECIMAL, min_sea_level_pressure_inches DECIMAL, max_visibility_miles INT, mean_visibility_miles INT, min_visibility_miles INT, max_wind_Speed_mph INT, mean_wind_speed_mph INT, max_gust_speed_mph INT, precipitation_inches INT, cloud_cover INT, events TEXT, wind_dir_degrees INT, zip_code INT)
| Find the ids and names of stations from which at least 200 trips started. | SELECT start_station_name, start_station_id FROM trip | SELECT "start_station_name", "start_station_id" FROM "trip" | 0.057617 |
CREATE TABLE table_name_74 (casualties VARCHAR, location VARCHAR)
| Name the casualities for kabul area | SELECT casualties FROM table_name_74 WHERE location = "kabul area" | SELECT "casualties" FROM "table_name_74" WHERE "kabul area" = "location" | 0.070313 |
CREATE TABLE table_11210576_4 (actor VARCHAR, character VARCHAR)
| what's the actor with character being judge joseph ratner | SELECT actor FROM table_11210576_4 WHERE character = "Judge Joseph Ratner" | SELECT "actor" FROM "table_11210576_4" WHERE "Judge Joseph Ratner" = "character" | 0.078125 |
CREATE TABLE table_62797 ("Number" TEXT, "Previous Number ( s ) " FLOAT, "Previous Class" TEXT, "Converted" FLOAT, "Withdrawn" FLOAT, "Disposal" TEXT)
| With a converted less than 1966 and a number of 32 (2nd), what is the largest number listed for withdrawn? | SELECT MAX("Withdrawn") FROM table_62797 WHERE "Number" = '32 (2nd)' AND "Converted" < '1966' | SELECT MAX("Withdrawn") FROM "table_62797" WHERE "Converted" < '1966' AND "Number" = '32 (2nd)' | 0.092773 |
CREATE TABLE microlab (microlabid DECIMAL, patientunitstayid DECIMAL, culturesite TEXT, organism TEXT, culturetakentime TIME)
CREATE TABLE treatment (treatmentid DECIMAL, patientunitstayid DECIMAL, treatmentname TEXT, treatmenttime TIME)
CREATE TABLE lab (labid DECIMAL, patientunitstayid DECIMAL, labname TEXT, labresult DECIMAL, labresulttime TIME)
CREATE TABLE medication (medicationid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, dosage TEXT, routeadmin TEXT, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE cost (costid DECIMAL, uniquepid TEXT, patienthealthsystemstayid DECIMAL, eventtype TEXT, eventid DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE patient (uniquepid TEXT, patienthealthsystemstayid DECIMAL, patientunitstayid DECIMAL, gender TEXT, age TEXT, ethnicity TEXT, hospitalid DECIMAL, wardid DECIMAL, admissionheight DECIMAL, admissionweight DECIMAL, dischargeweight DECIMAL, hospitaladmittime TIME, hospitaladmitsource TEXT, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus TEXT)
CREATE TABLE allergy (allergyid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, allergyname TEXT, allergytime TIME)
CREATE TABLE diagnosis (diagnosisid DECIMAL, patientunitstayid DECIMAL, diagnosisname TEXT, diagnosistime TIME, icd9code TEXT)
CREATE TABLE vitalperiodic (vitalperiodicid DECIMAL, patientunitstayid DECIMAL, temperature DECIMAL, sao2 DECIMAL, heartrate DECIMAL, respiration DECIMAL, systemicsystolic DECIMAL, systemicdiastolic DECIMAL, systemicmean DECIMAL, observationtime TIME)
CREATE TABLE intakeoutput (intakeoutputid DECIMAL, patientunitstayid DECIMAL, cellpath TEXT, celllabel TEXT, cellvaluenumeric DECIMAL, intakeoutputtime TIME)
| what was the name of procedure, that patient 012-66291 was first received since 2105? | SELECT treatment.treatmentname FROM treatment WHERE treatment.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '012-66291')) AND STRFTIME('%y', treatment.treatmenttime) >= '2105' ORDER BY treatment.treatmenttime LIMIT 1 | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '012-66291' GROUP BY "patienthealthsystemstayid"), "_u_1" AS (SELECT "patient"."patientunitstayid" FROM "patient" LEFT JOIN "_u_0" AS "_u_0" ON "_u_0"."" = "patient"."patienthealthsystemstayid" WHERE NOT "_u_0"."" IS NULL GROUP BY "patientunitstayid") SELECT "treatment"."treatmentname" FROM "treatment" LEFT JOIN "_u_1" AS "_u_1" ON "_u_1"."" = "treatment"."patientunitstayid" WHERE NOT "_u_1"."" IS NULL AND STRFTIME('%y', "treatment"."treatmenttime") >= '2105' ORDER BY "treatment"."treatmenttime" NULLS FIRST LIMIT 1 | 0.611328 |
CREATE TABLE jobs (JOB_ID VARCHAR, JOB_TITLE VARCHAR, MIN_SALARY DECIMAL, MAX_SALARY DECIMAL)
CREATE TABLE employees (EMPLOYEE_ID DECIMAL, FIRST_NAME VARCHAR, LAST_NAME VARCHAR, EMAIL VARCHAR, PHONE_NUMBER VARCHAR, HIRE_DATE DATE, JOB_ID VARCHAR, SALARY DECIMAL, COMMISSION_PCT DECIMAL, MANAGER_ID DECIMAL, DEPARTMENT_ID DECIMAL)
CREATE TABLE job_history (EMPLOYEE_ID DECIMAL, START_DATE DATE, END_DATE DATE, JOB_ID VARCHAR, DEPARTMENT_ID DECIMAL)
CREATE TABLE locations (LOCATION_ID DECIMAL, STREET_ADDRESS VARCHAR, POSTAL_CODE VARCHAR, CITY VARCHAR, STATE_PROVINCE VARCHAR, COUNTRY_ID VARCHAR)
CREATE TABLE departments (DEPARTMENT_ID DECIMAL, DEPARTMENT_NAME VARCHAR, MANAGER_ID DECIMAL, LOCATION_ID DECIMAL)
CREATE TABLE regions (REGION_ID DECIMAL, REGION_NAME VARCHAR)
CREATE TABLE countries (COUNTRY_ID VARCHAR, COUNTRY_NAME VARCHAR, REGION_ID DECIMAL)
| For those employees who do not work in departments with managers that have ids between 100 and 200, show me about the distribution of hire_date and the sum of manager_id bin hire_date by time in a bar chart. | SELECT HIRE_DATE, SUM(MANAGER_ID) FROM employees WHERE NOT DEPARTMENT_ID IN (SELECT DEPARTMENT_ID FROM departments WHERE MANAGER_ID BETWEEN 100 AND 200) | SELECT "HIRE_DATE", SUM("MANAGER_ID") FROM "employees" WHERE NOT "DEPARTMENT_ID" IN (SELECT "DEPARTMENT_ID" FROM "departments" WHERE "MANAGER_ID" <= 200 AND "MANAGER_ID" >= 100) | 0.172852 |
CREATE TABLE table_18883 ("Game" FLOAT, "Date" TEXT, "Team" TEXT, "Score" TEXT, "High points" TEXT, "High rebounds" TEXT, "High assists" TEXT, "Location Attendance" TEXT, "Record" TEXT)
| Which players scored the most points when the opposing team was Seattle and how many points did they score? | SELECT "High points" FROM table_18883 WHERE "Team" = 'Seattle' | SELECT "High points" FROM "table_18883" WHERE "Team" = 'Seattle' | 0.0625 |
CREATE TABLE table_29614 ("Game" FLOAT, "October" FLOAT, "Opponent" TEXT, "Score" TEXT, "Location/Attendance" TEXT, "Record" TEXT, "Points" FLOAT)
| Name the record for prudential center - 12,880 | SELECT "Record" FROM table_29614 WHERE "Location/Attendance" = 'Prudential Center - 12,880' | SELECT "Record" FROM "table_29614" WHERE "Location/Attendance" = 'Prudential Center - 12,880' | 0.09082 |
CREATE TABLE ship (Name VARCHAR, Nationality VARCHAR)
| List the name of ships whose nationality is not 'United States'. | SELECT Name FROM ship WHERE Nationality <> "United States" | SELECT "Name" FROM "ship" WHERE "Nationality" <> "United States" | 0.0625 |
CREATE TABLE table_22904752_1 (directed_by VARCHAR, no VARCHAR)
| Who is no. 79 directed by? | SELECT directed_by FROM table_22904752_1 WHERE no = 79 | SELECT "directed_by" FROM "table_22904752_1" WHERE "no" = 79 | 0.058594 |
CREATE TABLE table_67245 ("Rank" FLOAT, "Lane" FLOAT, "Name" TEXT, "Nationality" TEXT, "Time" FLOAT)
| Which lane has a time less than 49.67, is from Michael Klim and less than 1 rank? | SELECT MAX("Lane") FROM table_67245 WHERE "Time" < '49.67' AND "Name" = 'michael klim' AND "Rank" < '1' | SELECT MAX("Lane") FROM "table_67245" WHERE "Name" = 'michael klim' AND "Rank" < '1' AND "Time" < '49.67' | 0.102539 |
CREATE TABLE diagnosis (diagnosisid DECIMAL, patientunitstayid DECIMAL, diagnosisname TEXT, diagnosistime TIME, icd9code TEXT)
CREATE TABLE allergy (allergyid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, allergyname TEXT, allergytime TIME)
CREATE TABLE intakeoutput (intakeoutputid DECIMAL, patientunitstayid DECIMAL, cellpath TEXT, celllabel TEXT, cellvaluenumeric DECIMAL, intakeoutputtime TIME)
CREATE TABLE cost (costid DECIMAL, uniquepid TEXT, patienthealthsystemstayid DECIMAL, eventtype TEXT, eventid DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE microlab (microlabid DECIMAL, patientunitstayid DECIMAL, culturesite TEXT, organism TEXT, culturetakentime TIME)
CREATE TABLE lab (labid DECIMAL, patientunitstayid DECIMAL, labname TEXT, labresult DECIMAL, labresulttime TIME)
CREATE TABLE vitalperiodic (vitalperiodicid DECIMAL, patientunitstayid DECIMAL, temperature DECIMAL, sao2 DECIMAL, heartrate DECIMAL, respiration DECIMAL, systemicsystolic DECIMAL, systemicdiastolic DECIMAL, systemicmean DECIMAL, observationtime TIME)
CREATE TABLE treatment (treatmentid DECIMAL, patientunitstayid DECIMAL, treatmentname TEXT, treatmenttime TIME)
CREATE TABLE patient (uniquepid TEXT, patienthealthsystemstayid DECIMAL, patientunitstayid DECIMAL, gender TEXT, age TEXT, ethnicity TEXT, hospitalid DECIMAL, wardid DECIMAL, admissionheight DECIMAL, admissionweight DECIMAL, dischargeweight DECIMAL, hospitaladmittime TIME, hospitaladmitsource TEXT, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus TEXT)
CREATE TABLE medication (medicationid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, dosage TEXT, routeadmin TEXT, drugstarttime TIME, drugstoptime TIME)
| what is the monthly minimum amount of troponin - i of patient 016-25367 since 97 months ago? | SELECT MIN(lab.labresult) FROM lab WHERE lab.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '016-25367')) AND lab.labname = 'troponin - i' AND DATETIME(lab.labresulttime) >= DATETIME(CURRENT_TIME(), '-97 month') GROUP BY STRFTIME('%y-%m', lab.labresulttime) | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '016-25367' GROUP BY "patienthealthsystemstayid"), "_u_1" AS (SELECT "patient"."patientunitstayid" FROM "patient" LEFT JOIN "_u_0" AS "_u_0" ON "_u_0"."" = "patient"."patienthealthsystemstayid" WHERE NOT "_u_0"."" IS NULL GROUP BY "patientunitstayid") SELECT MIN("lab"."labresult") FROM "lab" LEFT JOIN "_u_1" AS "_u_1" ON "_u_1"."" = "lab"."patientunitstayid" WHERE "lab"."labname" = 'troponin - i' AND DATETIME("lab"."labresulttime") >= DATETIME(CURRENT_TIME(), '-97 month') AND NOT "_u_1"."" IS NULL GROUP BY STRFTIME('%y-%m', "lab"."labresulttime") | 0.642578 |
CREATE TABLE table_59904 ("Name" TEXT, "Position" TEXT, "League Apps" TEXT, "League Goals" FLOAT, "FA Cup Apps" TEXT, "FA Cup Goals" FLOAT, "League Cup Apps" TEXT, "League Cup Goals" FLOAT, "Total Apps" TEXT, "Total Goals" FLOAT)
| Who has the lowest league total goals with 0 FA cup goals and no FA cup appearances, plays the DF position and has appeared in total of 3 times? | SELECT MIN("League Goals") FROM table_59904 WHERE "FA Cup Goals" = '0' AND "FA Cup Apps" = '0' AND "Position" = 'df' AND "Total Apps" = '3' | SELECT MIN("League Goals") FROM "table_59904" WHERE "FA Cup Apps" = '0' AND "FA Cup Goals" = '0' AND "Position" = 'df' AND "Total Apps" = '3' | 0.137695 |
CREATE TABLE table_name_74 (score VARCHAR, home VARCHAR, date VARCHAR)
| What Score has a Home of Montreal Canadiens and a Date of April 22? | SELECT score FROM table_name_74 WHERE home = "montreal canadiens" AND date = "april 22" | SELECT "score" FROM "table_name_74" WHERE "april 22" = "date" AND "home" = "montreal canadiens" | 0.092773 |
CREATE TABLE table_name_46 (final VARCHAR, athlete VARCHAR)
| What final was Farhad Rezaei in? | SELECT final FROM table_name_46 WHERE athlete = "farhad rezaei" | SELECT "final" FROM "table_name_46" WHERE "athlete" = "farhad rezaei" | 0.067383 |
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
| give me the number of patients diagnosed with alzheimer's disease who were admitted before 2144. | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.admityear < "2144" AND diagnoses.long_title = "Alzheimer's disease" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "Alzheimer's disease" = "diagnoses"."long_title" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" WHERE "2144" > "demographic"."admityear" | 0.224609 |
CREATE TABLE table_13419 ("Week" FLOAT, "Date" TEXT, "Opponent" TEXT, "Result" TEXT, "Record" TEXT, "Attendance" TEXT)
| Who is the Opponent in the game with a Record of 1 3 0? | SELECT "Opponent" FROM table_13419 WHERE "Record" = '1–3–0' | SELECT "Opponent" FROM "table_13419" WHERE "Record" = '1–3–0' | 0.05957 |
CREATE TABLE table_name_93 (fin_pos VARCHAR, points VARCHAR)
| What was the finishing position with 13 points? | SELECT fin_pos FROM table_name_93 WHERE points = "13" | SELECT "fin_pos" FROM "table_name_93" WHERE "13" = "points" | 0.057617 |
CREATE TABLE table_48422 ("Week" FLOAT, "Date" TEXT, "Opponent" TEXT, "Result" TEXT, "Attendance" TEXT)
| What was the attendance during week 15? | SELECT "Attendance" FROM table_48422 WHERE "Week" = '15' | SELECT "Attendance" FROM "table_48422" WHERE "Week" = '15' | 0.056641 |
CREATE TABLE invoices (invoice_number DECIMAL, order_id DECIMAL, invoice_date TIME)
CREATE TABLE product_categories (production_type_code TEXT, product_type_description TEXT, vat_rating DECIMAL)
CREATE TABLE invoice_line_items (order_item_id DECIMAL, invoice_number DECIMAL, product_id DECIMAL, product_title TEXT, product_quantity TEXT, product_price DECIMAL, derived_product_cost DECIMAL, derived_vat_payable DECIMAL, derived_total_cost DECIMAL)
CREATE TABLE customers (customer_id DECIMAL, customer_first_name TEXT, customer_middle_initial TEXT, customer_last_name TEXT, gender TEXT, email_address TEXT, login_name TEXT, login_password TEXT, phone_number TEXT, town_city TEXT, state_county_province TEXT, country TEXT)
CREATE TABLE orders (order_id DECIMAL, customer_id DECIMAL, date_order_placed TIME, order_details TEXT)
CREATE TABLE products (product_id DECIMAL, parent_product_id DECIMAL, production_type_code TEXT, unit_price DECIMAL, product_name TEXT, product_color TEXT, product_size TEXT)
CREATE TABLE accounts (account_id DECIMAL, customer_id DECIMAL, date_account_opened TIME, account_name TEXT, other_account_details TEXT)
CREATE TABLE financial_transactions (transaction_id DECIMAL, account_id DECIMAL, invoice_number DECIMAL, transaction_type TEXT, transaction_date TIME, transaction_amount DECIMAL, transaction_comment TEXT, other_transaction_details TEXT)
CREATE TABLE order_items (order_item_id DECIMAL, order_id DECIMAL, product_id DECIMAL, product_quantity TEXT, other_order_item_details TEXT)
| Show order ids and the number of products in each order. | SELECT order_id, COUNT(DISTINCT product_id) FROM order_items GROUP BY order_id | SELECT "order_id", COUNT(DISTINCT "product_id") FROM "order_items" GROUP BY "order_id" | 0.083984 |
CREATE TABLE departments (DEPARTMENT_ID DECIMAL, DEPARTMENT_NAME VARCHAR, MANAGER_ID DECIMAL, LOCATION_ID DECIMAL)
CREATE TABLE regions (REGION_ID DECIMAL, REGION_NAME VARCHAR)
CREATE TABLE countries (COUNTRY_ID VARCHAR, COUNTRY_NAME VARCHAR, REGION_ID DECIMAL)
CREATE TABLE job_history (EMPLOYEE_ID DECIMAL, START_DATE DATE, END_DATE DATE, JOB_ID VARCHAR, DEPARTMENT_ID DECIMAL)
CREATE TABLE locations (LOCATION_ID DECIMAL, STREET_ADDRESS VARCHAR, POSTAL_CODE VARCHAR, CITY VARCHAR, STATE_PROVINCE VARCHAR, COUNTRY_ID VARCHAR)
CREATE TABLE jobs (JOB_ID VARCHAR, JOB_TITLE VARCHAR, MIN_SALARY DECIMAL, MAX_SALARY DECIMAL)
CREATE TABLE employees (EMPLOYEE_ID DECIMAL, FIRST_NAME VARCHAR, LAST_NAME VARCHAR, EMAIL VARCHAR, PHONE_NUMBER VARCHAR, HIRE_DATE DATE, JOB_ID VARCHAR, SALARY DECIMAL, COMMISSION_PCT DECIMAL, MANAGER_ID DECIMAL, DEPARTMENT_ID DECIMAL)
| when is the hire date for those employees whose first name does not containing the letter M, and count them by a bar chart, order y axis from high to low order. | SELECT HIRE_DATE, COUNT(HIRE_DATE) FROM employees WHERE NOT FIRST_NAME LIKE '%M%' ORDER BY COUNT(HIRE_DATE) DESC | SELECT "HIRE_DATE", COUNT("HIRE_DATE") FROM "employees" WHERE NOT "FIRST_NAME" LIKE '%M%' ORDER BY COUNT("HIRE_DATE") DESC NULLS LAST | 0.129883 |
CREATE TABLE microlab (microlabid DECIMAL, patientunitstayid DECIMAL, culturesite TEXT, organism TEXT, culturetakentime TIME)
CREATE TABLE intakeoutput (intakeoutputid DECIMAL, patientunitstayid DECIMAL, cellpath TEXT, celllabel TEXT, cellvaluenumeric DECIMAL, intakeoutputtime TIME)
CREATE TABLE lab (labid DECIMAL, patientunitstayid DECIMAL, labname TEXT, labresult DECIMAL, labresulttime TIME)
CREATE TABLE allergy (allergyid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, allergyname TEXT, allergytime TIME)
CREATE TABLE cost (costid DECIMAL, uniquepid TEXT, patienthealthsystemstayid DECIMAL, eventtype TEXT, eventid DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE patient (uniquepid TEXT, patienthealthsystemstayid DECIMAL, patientunitstayid DECIMAL, gender TEXT, age TEXT, ethnicity TEXT, hospitalid DECIMAL, wardid DECIMAL, admissionheight DECIMAL, admissionweight DECIMAL, dischargeweight DECIMAL, hospitaladmittime TIME, hospitaladmitsource TEXT, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus TEXT)
CREATE TABLE medication (medicationid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, dosage TEXT, routeadmin TEXT, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE diagnosis (diagnosisid DECIMAL, patientunitstayid DECIMAL, diagnosisname TEXT, diagnosistime TIME, icd9code TEXT)
CREATE TABLE treatment (treatmentid DECIMAL, patientunitstayid DECIMAL, treatmentname TEXT, treatmenttime TIME)
CREATE TABLE vitalperiodic (vitalperiodicid DECIMAL, patientunitstayid DECIMAL, temperature DECIMAL, sao2 DECIMAL, heartrate DECIMAL, respiration DECIMAL, systemicsystolic DECIMAL, systemicdiastolic DECIMAL, systemicmean DECIMAL, observationtime TIME)
| what procedure did patient 016-25367 undergo for the last time since 2103? | SELECT treatment.treatmentname FROM treatment WHERE treatment.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '016-25367')) AND STRFTIME('%y', treatment.treatmenttime) >= '2103' ORDER BY treatment.treatmenttime DESC LIMIT 1 | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '016-25367' GROUP BY "patienthealthsystemstayid"), "_u_1" AS (SELECT "patient"."patientunitstayid" FROM "patient" LEFT JOIN "_u_0" AS "_u_0" ON "_u_0"."" = "patient"."patienthealthsystemstayid" WHERE NOT "_u_0"."" IS NULL GROUP BY "patientunitstayid") SELECT "treatment"."treatmentname" FROM "treatment" LEFT JOIN "_u_1" AS "_u_1" ON "_u_1"."" = "treatment"."patientunitstayid" WHERE NOT "_u_1"."" IS NULL AND STRFTIME('%y', "treatment"."treatmenttime") >= '2103' ORDER BY "treatment"."treatmenttime" DESC NULLS LAST LIMIT 1 | 0.615234 |
CREATE TABLE table_20170644_1 (cfl_team VARCHAR, player VARCHAR)
| What CFL team did Darcy Brown play for? | SELECT cfl_team FROM table_20170644_1 WHERE player = "Darcy Brown" | SELECT "cfl_team" FROM "table_20170644_1" WHERE "Darcy Brown" = "player" | 0.070313 |
CREATE TABLE table_name_7 (first_elected VARCHAR, member VARCHAR)
| When was H.B. Higgins first elected? | SELECT first_elected FROM table_name_7 WHERE member = "h.b. higgins" | SELECT "first_elected" FROM "table_name_7" WHERE "h.b. higgins" = "member" | 0.072266 |
CREATE TABLE table_name_71 (year_s__won VARCHAR, total VARCHAR)
| Which Year(s) won has a Total of 289? | SELECT year_s__won FROM table_name_71 WHERE total = 289 | SELECT "year_s__won" FROM "table_name_71" WHERE "total" = 289 | 0.05957 |
CREATE TABLE table_37973 ("Tournament" TEXT, "2001" TEXT, "2002" TEXT, "2003" TEXT, "2004" TEXT, "2005" TEXT, "2006" TEXT, "2007" TEXT, "2008" TEXT, "2009" TEXT, "2011" TEXT, "2012" TEXT, "2013" TEXT, "Career SR" TEXT, "Career Win-Loss" TEXT)
| Which 2008 has a Career Win-Loss of 25 40? | SELECT "2008" FROM table_37973 WHERE "Career Win-Loss" = '25–40' | SELECT "2008" FROM "table_37973" WHERE "Career Win-Loss" = '25–40' | 0.064453 |
CREATE TABLE table_12715 ("Place" TEXT, "Player" TEXT, "Country" TEXT, "Score" TEXT, "To par" TEXT)
| What is Charlie Wi's To par? | SELECT "To par" FROM table_12715 WHERE "Player" = 'charlie wi' | SELECT "To par" FROM "table_12715" WHERE "Player" = 'charlie wi' | 0.0625 |
CREATE TABLE table_name_70 (bronze INT, silver VARCHAR, gold VARCHAR, total VARCHAR)
| Gold of 0, and a Total larger than 0, and a Silver larger than 1 and what is the highest bronze? | SELECT MAX(bronze) FROM table_name_70 WHERE gold = 0 AND total > 0 AND silver > 1 | SELECT MAX("bronze") FROM "table_name_70" WHERE "gold" = 0 AND "silver" > 1 AND "total" > 0 | 0.088867 |
CREATE TABLE table_74205 ("Pick" FLOAT, "Player" TEXT, "Position" TEXT, "Nationality" TEXT, "NHL team" TEXT, "College/junior/club team" TEXT)
| How many NHL teams is Denis Pederson a draft pick for? | SELECT COUNT("NHL team") FROM table_74205 WHERE "Player" = 'Denis Pederson' | SELECT COUNT("NHL team") FROM "table_74205" WHERE "Player" = 'Denis Pederson' | 0.075195 |
CREATE TABLE table_49881 ("Round" FLOAT, "Circuit" TEXT, "Date" TEXT, "Pole Position" TEXT, "Fastest Lap" TEXT, "Winning Driver" TEXT, "Winning Team" TEXT)
| Which Round has the Winning Driver of brendon hartley, and a Date of 27 april? | SELECT MIN("Round") FROM table_49881 WHERE "Winning Driver" = 'brendon hartley' AND "Date" = '27 april' | SELECT MIN("Round") FROM "table_49881" WHERE "Date" = '27 april' AND "Winning Driver" = 'brendon hartley' | 0.102539 |
CREATE TABLE table_8018 ("Rank" FLOAT, "Company" TEXT, "Headquarters" TEXT, "Industry" TEXT, "Sales ( billion $ ) " FLOAT, "Profits ( billion $ ) " FLOAT, "Assets ( billion $ ) " FLOAT, "Market Value ( billion $ ) " FLOAT)
| What is the average sales for the company with market value of 204.9bil and profits under 20.6bil? | SELECT AVG("Sales (billion $)") FROM table_8018 WHERE "Market Value (billion $)" = '204.9' AND "Profits (billion $)" < '20.6' | SELECT AVG("Sales (billion $)") FROM "table_8018" WHERE "Market Value (billion $)" = '204.9' AND "Profits (billion $)" < '20.6' | 0.124023 |
CREATE TABLE table_72393 ("District" TEXT, "Incumbent" TEXT, "Party" TEXT, "First elected" FLOAT, "Result" TEXT, "Candidates" TEXT)
| Name the number of first elected for phil crane | SELECT COUNT("First elected") FROM table_72393 WHERE "Incumbent" = 'Phil Crane' | SELECT COUNT("First elected") FROM "table_72393" WHERE "Incumbent" = 'Phil Crane' | 0.079102 |
CREATE TABLE table_30507 ("Conference" TEXT, "Regular Season Winner" TEXT, "Conference Player of the Year" TEXT, "Conference Tournament" TEXT, "Tournament Venue ( City ) " TEXT, "Tournament Winner" TEXT)
| How many entries for conference tournament are listed when Texas Western is the regular season winner? | SELECT COUNT("Conference Tournament") FROM table_30507 WHERE "Regular Season Winner" = 'Texas Western' | SELECT COUNT("Conference Tournament") FROM "table_30507" WHERE "Regular Season Winner" = 'Texas Western' | 0.101563 |
CREATE TABLE table_69986 ("Date" TEXT, "Opponent" TEXT, "Score" TEXT, "Loss" TEXT, "Record" TEXT)
| What was the record during the loss by key (7-11)? | SELECT "Record" FROM table_69986 WHERE "Loss" = 'key (7-11)' | SELECT "Record" FROM "table_69986" WHERE "Loss" = 'key (7-11)' | 0.060547 |
CREATE TABLE table_name_62 (venue VARCHAR, away_team VARCHAR)
| Where did Geelong play as the away team? | SELECT venue FROM table_name_62 WHERE away_team = "geelong" | SELECT "venue" FROM "table_name_62" WHERE "away_team" = "geelong" | 0.063477 |
CREATE TABLE Customer_Addresses (customer_id INT, address_id INT, date_address_from DATETIME, address_type VARCHAR, date_address_to DATETIME)
CREATE TABLE Addresses (address_id INT, address_content VARCHAR, city VARCHAR, zip_postcode VARCHAR, state_province_county VARCHAR, country VARCHAR, other_address_details VARCHAR)
CREATE TABLE Customer_Orders (order_id INT, customer_id INT, order_status VARCHAR, order_date DATETIME, order_details VARCHAR)
CREATE TABLE Products (product_id INT, product_details VARCHAR)
CREATE TABLE Order_Items (order_id INT, product_id INT, order_quantity VARCHAR)
CREATE TABLE Customer_Contact_Channels (customer_id INT, channel_code VARCHAR, active_from_date DATETIME, active_to_date DATETIME, contact_number VARCHAR)
CREATE TABLE Customers (customer_id INT, payment_method VARCHAR, customer_name VARCHAR, date_became_customer DATETIME, other_customer_details VARCHAR)
| Find the number of orders in each day and show in a line chart. | SELECT order_date, COUNT(order_date) FROM Customers AS t1 JOIN Customer_Orders AS t2 ON t1.customer_id = t2.customer_id WHERE order_status = "Delivered" | SELECT "order_date", COUNT("order_date") FROM "Customers" AS "t1" JOIN "Customer_Orders" AS "t2" ON "t1"."customer_id" = "t2"."customer_id" WHERE "Delivered" = "order_status" | 0.169922 |
CREATE TABLE table_name_2 (office VARCHAR, party VARCHAR, first_elected VARCHAR)
| Which Office has a Party of dem, and a First Elected of 1991 ? | SELECT office FROM table_name_2 WHERE party = "dem" AND first_elected = "1991†" | SELECT "office" FROM "table_name_2" WHERE "1991†" = "first_elected" AND "dem" = "party" | 0.084961 |
CREATE TABLE table_1405704_1 (chassis VARCHAR, season VARCHAR, engine VARCHAR)
| What kind of chassis did a winning car with a Foyt engine have in 1979? | SELECT chassis FROM table_1405704_1 WHERE season = 1979 AND engine = "Foyt" | SELECT "chassis" FROM "table_1405704_1" WHERE "Foyt" = "engine" AND "season" = 1979 | 0.081055 |
CREATE TABLE table_41758 ("Driver" TEXT, "Wins" FLOAT, "Starts" FLOAT, "Sprint" FLOAT, "Feature" FLOAT)
| How many features did Adam Carroll win 6 times when the start was larger than 32? | SELECT COUNT("Feature") FROM table_41758 WHERE "Wins" = '6' AND "Driver" = 'adam carroll' AND "Starts" > '32' | SELECT COUNT("Feature") FROM "table_41758" WHERE "Driver" = 'adam carroll' AND "Starts" > '32' AND "Wins" = '6' | 0.108398 |
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