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CREATE TABLE microlab (microlabid DECIMAL, patientunitstayid DECIMAL, culturesite TEXT, organism TEXT, culturetakentime TIME)
CREATE TABLE diagnosis (diagnosisid DECIMAL, patientunitstayid DECIMAL, diagnosisname TEXT, diagnosistime TIME, icd9code TEXT)
CREATE TABLE cost (costid DECIMAL, uniquepid TEXT, patienthealthsystemstayid DECIMAL, eventtype TEXT, eventid DECIMAL, chargetime TIME, cost DECIMAL)
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 lab (labid DECIMAL, patientunitstayid DECIMAL, labname TEXT, labresult DECIMAL, labresulttime TIME)
CREATE TABLE treatment (treatmentid DECIMAL, patientunitstayid DECIMAL, treatmentname TEXT, treatmenttime TIME)
CREATE TABLE allergy (allergyid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, allergyname TEXT, allergytime TIME)
CREATE TABLE medication (medicationid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, dosage TEXT, routeadmin TEXT, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE intakeoutput (intakeoutputid DECIMAL, patientunitstayid DECIMAL, cellpath TEXT, celllabel TEXT, cellvaluenumeric DECIMAL, intakeoutputtime 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)
| in 2105 has patient 013-29301 had any procedure? | SELECT COUNT(*) > 0 FROM treatment WHERE treatment.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '013-29301')) AND STRFTIME('%y', treatment.treatmenttime) = '2105' | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '013-29301' 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 COUNT(*) > 0 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' | 0.540039 |
CREATE TABLE resultsdata15 (sample_pk DECIMAL, commod TEXT, commtype TEXT, lab TEXT, pestcode TEXT, testclass TEXT, concen DECIMAL, lod DECIMAL, conunit TEXT, confmethod TEXT, confmethod2 TEXT, annotate TEXT, quantitate TEXT, mean TEXT, extract TEXT, determin TEXT)
CREATE TABLE sampledata15 (sample_pk DECIMAL, state TEXT, year TEXT, month TEXT, day TEXT, site TEXT, commod TEXT, source_id TEXT, variety TEXT, origin TEXT, country TEXT, disttype TEXT, commtype TEXT, claim TEXT, quantity DECIMAL, growst TEXT, packst TEXT, distst TEXT)
| What are the top 5 analyzing labs where pesticide residues detection was conducted? | SELECT lab FROM resultsdata15 GROUP BY lab ORDER BY COUNT(*) DESC LIMIT 5 | SELECT "lab" FROM "resultsdata15" GROUP BY "lab" ORDER BY COUNT(*) DESC NULLS LAST LIMIT 5 | 0.087891 |
CREATE TABLE table_name_86 (year VARCHAR, location VARCHAR, date VARCHAR)
| Which Year has a Location of dinas on 13 january? | SELECT year FROM table_name_86 WHERE location = "dinas" AND date = "13 january" | SELECT "year" FROM "table_name_86" WHERE "13 january" = "date" AND "dinas" = "location" | 0.084961 |
CREATE TABLE film (film_id DECIMAL, title TEXT, studio TEXT, director TEXT, gross_in_dollar DECIMAL)
CREATE TABLE film_market_estimation (estimation_id DECIMAL, low_estimate DECIMAL, high_estimate DECIMAL, film_id DECIMAL, type TEXT, market_id DECIMAL, year DECIMAL)
CREATE TABLE market (market_id DECIMAL, country TEXT, number_cities DECIMAL)
| Show the studios that have produced films with director 'Nicholas Meyer' and 'Walter Hill'. | SELECT studio FROM film WHERE director = "Nicholas Meyer" INTERSECT SELECT studio FROM film WHERE director = "Walter Hill" | SELECT "studio" FROM "film" WHERE "Nicholas Meyer" = "director" INTERSECT SELECT "studio" FROM "film" WHERE "Walter Hill" = "director" | 0.130859 |
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 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 compartment_class (compartment VARCHAR, class_type VARCHAR)
CREATE TABLE date_day (month_number INT, day_number INT, year INT, day_name VARCHAR)
CREATE TABLE flight_leg (flight_id INT, leg_number INT, leg_flight INT)
CREATE TABLE airport_service (city_code VARCHAR, airport_code VARCHAR, miles_distant INT, direction VARCHAR, minutes_distant INT)
CREATE TABLE time_zone (time_zone_code TEXT, time_zone_name TEXT, hours_from_gmt INT)
CREATE TABLE city (city_code VARCHAR, city_name VARCHAR, state_code VARCHAR, country_name VARCHAR, time_zone_code VARCHAR)
CREATE TABLE month (month_number INT, month_name TEXT)
CREATE TABLE equipment_sequence (aircraft_code_sequence VARCHAR, aircraft_code VARCHAR)
CREATE TABLE days (days_code VARCHAR, day_name VARCHAR)
CREATE TABLE ground_service (city_code TEXT, airport_code TEXT, transport_type TEXT, ground_fare INT)
CREATE TABLE dual_carrier (main_airline VARCHAR, low_flight_number INT, high_flight_number INT, dual_airline VARCHAR, service_name TEXT)
CREATE TABLE class_of_service (booking_class VARCHAR, rank INT, class_description TEXT)
CREATE TABLE time_interval (period TEXT, begin_time INT, end_time INT)
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 food_service (meal_code TEXT, meal_number INT, compartment TEXT, meal_description VARCHAR)
CREATE TABLE flight_fare (flight_id INT, fare_id INT)
CREATE TABLE airline (airline_code VARCHAR, airline_name TEXT, note TEXT)
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 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)
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_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 state (state_code TEXT, state_name TEXT, country_name TEXT)
| please list ground transportation from EWR into NEW YORK | SELECT DISTINCT transport_type FROM ground_service WHERE (airport_code IN (SELECT AIRPORTalias0.airport_code FROM airport AS AIRPORTalias0 WHERE AIRPORTalias0.airport_code = 'EWR') AND city_code IN (SELECT CITYalias0.city_code FROM city AS CITYalias0 WHERE CITYalias0.city_name = 'NEW YORK')) | WITH "_u_0" AS (SELECT "AIRPORTalias0"."airport_code" FROM "airport" AS "AIRPORTalias0" WHERE "AIRPORTalias0"."airport_code" = 'EWR' GROUP BY "airport_code"), "_u_1" AS (SELECT "CITYalias0"."city_code" FROM "city" AS "CITYalias0" WHERE "CITYalias0"."city_name" = 'NEW YORK' GROUP BY "city_code") SELECT DISTINCT "transport_type" FROM "ground_service" LEFT JOIN "_u_0" AS "_u_0" ON "_u_0"."" = "airport_code" LEFT JOIN "_u_1" AS "_u_1" ON "_u_1"."" = "city_code" WHERE NOT "_u_0"."" IS NULL AND NOT "_u_1"."" IS NULL | 0.50293 |
CREATE TABLE table_76271 ("Game" FLOAT, "Date" TEXT, "Team" TEXT, "Score" TEXT, "High points" TEXT, "High rebounds" TEXT, "High assists" TEXT, "Location Attendance" TEXT, "Record" TEXT)
| What is the average Game, when Team is 'Milwaukee'? | SELECT AVG("Game") FROM table_76271 WHERE "Team" = 'milwaukee' | SELECT AVG("Game") FROM "table_76271" WHERE "Team" = 'milwaukee' | 0.0625 |
CREATE TABLE table_name_18 (points INT, rider VARCHAR, manufacturer VARCHAR, wins VARCHAR, rank VARCHAR)
| Wins of 0, and a Rank larger than 6, and a Manufacturer of kawasaki, and a Rider of massimo broccoli involved what highest points? | SELECT MAX(points) FROM table_name_18 WHERE wins = 0 AND rank > 6 AND manufacturer = "kawasaki" AND rider = "massimo broccoli" | SELECT MAX("points") FROM "table_name_18" WHERE "kawasaki" = "manufacturer" AND "massimo broccoli" = "rider" AND "rank" > 6 AND "wins" = 0 | 0.134766 |
CREATE TABLE table_name_31 (name_of_the_river VARCHAR, name_of_the_state_where_found_in_india VARCHAR)
| What is the name of the river found in Madhya Pradesh, India? | SELECT name_of_the_river FROM table_name_31 WHERE name_of_the_state_where_found_in_india = "madhya pradesh" | SELECT "name_of_the_river" FROM "table_name_31" WHERE "madhya pradesh" = "name_of_the_state_where_found_in_india" | 0.110352 |
CREATE TABLE table_29491 ("Club" TEXT, "Location" TEXT, "Ground" TEXT, "Manager" TEXT, "Titles" FLOAT, "Last title" TEXT)
| Who is the manager for lootos p lva? | SELECT "Manager" FROM table_29491 WHERE "Club" = 'Lootos Põlva' | SELECT "Manager" FROM "table_29491" WHERE "Club" = 'Lootos Põlva' | 0.063477 |
CREATE TABLE table_678 ("District" TEXT, "Incumbent" TEXT, "Party" TEXT, "First elected" FLOAT, "Results" TEXT, "Candidatess" TEXT)
| What party does jim ramstad represent? | SELECT "Party" FROM table_678 WHERE "Incumbent" = 'Jim Ramstad' | SELECT "Party" FROM "table_678" WHERE "Incumbent" = 'Jim Ramstad' | 0.063477 |
CREATE TABLE table_35482 ("Call sign" TEXT, "Frequency MHz" TEXT, "City of license" TEXT, "ERP W" FLOAT, "FCC info" TEXT)
| Which City of license has a Call sign of w220ba? | SELECT "City of license" FROM table_35482 WHERE "Call sign" = 'w220ba' | SELECT "City of license" FROM "table_35482" WHERE "Call sign" = 'w220ba' | 0.070313 |
CREATE TABLE diagnoses (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 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)
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 the number of patients whose gender is f and diagnoses short title is depress psychosis-unspec? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.gender = "F" AND diagnoses.short_title = "Depress psychosis-unspec" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "Depress psychosis-unspec" = "diagnoses"."short_title" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" WHERE "F" = "demographic"."gender" | 0.224609 |
CREATE TABLE table_test_2 ("id" INT, "loss_of_consciousness" BOOLEAN, "gender" TEXT, "bleeding" INT, "systolic_blood_pressure_sbp" INT, "stroke" BOOLEAN, "renal_disease" BOOLEAN, "hemorrhagic_diathesis" BOOLEAN, "transient_ischemic_attack" BOOLEAN, "creatinine_clearance_cl" FLOAT, "dementia" BOOLEAN, "glasgow_come_score_gcs" INT, "prior_creatinine" FLOAT, "immunological_dysfunction" BOOLEAN, "diastolic_blood_pressure_dbp" INT, "health_coverage" BOOLEAN, "structural_cns_damage" BOOLEAN, "neoplasm" BOOLEAN, "av_malformation" BOOLEAN, "disorder" BOOLEAN, "aneurysm" BOOLEAN, "final_timi" INT, "hypertension" BOOLEAN, "NOUSE" FLOAT)
| significant hypertension ( i.e. sbp > 180 mm hg and / or dbp > 110 mm hg ) at any time from presentation ( earliest point of care ) to randomisation | SELECT * FROM table_test_2 WHERE hypertension = 1 OR (systolic_blood_pressure_sbp > 180 OR diastolic_blood_pressure_dbp > 110) | SELECT * FROM "table_test_2" WHERE "diastolic_blood_pressure_dbp" > 110 OR "hypertension" = 1 OR "systolic_blood_pressure_sbp" > 180 | 0.128906 |
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 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)
| how many patients with candidal esophagitis as their diagnosis short title have the drug route iv? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE diagnoses.short_title = "Candidal esophagitis" AND prescriptions.route = "IV" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "Candidal esophagitis" = "diagnoses"."short_title" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" JOIN "prescriptions" ON "IV" = "prescriptions"."route" AND "demographic"."hadm_id" = "prescriptions"."hadm_id" | 0.294922 |
CREATE TABLE table_203_577 (id DECIMAL, "tenure" TEXT, "coach" TEXT, "years" DECIMAL, "record" TEXT, "pct." DECIMAL)
| what 's the total combined years for thomas stouch and schwartz ? | SELECT SUM("years") FROM table_203_577 WHERE "coach" IN ('thomas stouch', 'schwartz') | SELECT SUM("years") FROM "table_203_577" WHERE "coach" IN ('thomas stouch', 'schwartz') | 0.084961 |
CREATE TABLE table_204_539 (id DECIMAL, "date" TEXT, "name" TEXT, "moving from" TEXT, "moving to" TEXT, "fee" TEXT)
| how many dates are listed as free ? | SELECT COUNT("date") FROM table_204_539 WHERE "fee" = 'free' | SELECT COUNT("date") FROM "table_204_539" WHERE "fee" = 'free' | 0.060547 |
CREATE TABLE table_name_78 (date VARCHAR, votes VARCHAR)
| On what date were there 50,324 votes? | SELECT date FROM table_name_78 WHERE votes = "50,324" | SELECT "date" FROM "table_name_78" WHERE "50,324" = "votes" | 0.057617 |
CREATE TABLE table_name_20 (date VARCHAR, loss VARCHAR)
| What date is associated with the Loss of Farrell (6-13)? | SELECT date FROM table_name_20 WHERE loss = "farrell (6-13)" | SELECT "date" FROM "table_name_20" WHERE "farrell (6-13)" = "loss" | 0.064453 |
CREATE TABLE table_26866 ("Week" FLOAT, "Date" TEXT, "Kickoff" TEXT, "Opponent" TEXT, "Final score" TEXT, "Team record" TEXT, "Game site" TEXT, "Attendance" FLOAT)
| At which location did 29753 fans show up to watch the game? | SELECT "Game site" FROM table_26866 WHERE "Attendance" = '29753' | SELECT "Game site" FROM "table_26866" WHERE "Attendance" = '29753' | 0.064453 |
CREATE TABLE table_65082 ("Actor" TEXT, "Character" TEXT, "Soap Opera" TEXT, "Years" TEXT, "Duration" TEXT)
| what is the soap opera for elin sogn? | SELECT "Soap Opera" FROM table_65082 WHERE "Actor" = 'elin sogn' | SELECT "Soap Opera" FROM "table_65082" WHERE "Actor" = 'elin sogn' | 0.064453 |
CREATE TABLE table_25083 ("Year" FLOAT, "Network" TEXT, "Race caller" TEXT, "s Host" TEXT, "s Analyst" TEXT, "Reporters" TEXT, "Trophy presentation" TEXT)
| Name the race caller for jim mckay and howard cosell and eddie arcaro | SELECT "Race caller" FROM table_25083 WHERE "Trophy presentation" = 'Jim McKay and Howard Cosell' AND "Reporters" = 'Howard Cosell' AND "s Analyst" = 'Eddie Arcaro' | SELECT "Race caller" FROM "table_25083" WHERE "Reporters" = 'Howard Cosell' AND "Trophy presentation" = 'Jim McKay and Howard Cosell' AND "s Analyst" = 'Eddie Arcaro' | 0.162109 |
CREATE TABLE Ship (Ship_ID INT, Name TEXT, Type TEXT, Built_Year FLOAT, Class TEXT, Flag TEXT)
CREATE TABLE captain (Captain_ID INT, Name TEXT, Ship_ID INT, age TEXT, Class TEXT, Rank TEXT)
| Draw a bar chart for how many captains with younger than 50 are in each rank?, show by the Y-axis in asc. | SELECT Rank, COUNT(*) FROM captain WHERE age < 50 GROUP BY Rank ORDER BY COUNT(*) | SELECT "Rank", COUNT(*) FROM "captain" WHERE "age" < 50 GROUP BY "Rank" ORDER BY COUNT(*) NULLS FIRST | 0.098633 |
CREATE TABLE table_23338693_1 (points VARCHAR, series VARCHAR, f_laps VARCHAR)
| How many points have a series of british formula renault 2.0 winter cup and f/laps of 0? | SELECT points FROM table_23338693_1 WHERE series = "British Formula Renault 2.0 Winter Cup" AND f_laps = 0 | SELECT "points" FROM "table_23338693_1" WHERE "British Formula Renault 2.0 Winter Cup" = "series" AND "f_laps" = 0 | 0.111328 |
CREATE TABLE table_203_697 (id DECIMAL, "player" TEXT, "career" TEXT, "nickname" TEXT, "team inducted as" TEXT)
| who was the first player to play for the st louis cardinals ? | SELECT "player" FROM table_203_697 WHERE "team inducted as" = 'st. louis cardinals' ORDER BY "career" LIMIT 1 | SELECT "player" FROM "table_203_697" WHERE "team inducted as" = 'st. louis cardinals' ORDER BY "career" NULLS FIRST LIMIT 1 | 0.120117 |
CREATE TABLE table_203_413 (id DECIMAL, "rank" TEXT, "city" TEXT, "population" DECIMAL, "area\ ( km2 ) " DECIMAL, "density\ ( inhabitants/km2 ) " DECIMAL, "altitude\ ( mslm ) " DECIMAL)
| how many cities have densities at least above 400 ? | SELECT COUNT("rank") FROM table_203_413 WHERE "density\n(inhabitants/km2)" > 400 | SELECT COUNT("rank") FROM "table_203_413" WHERE "density\n(inhabitants/km2)" > 400 | 0.080078 |
CREATE TABLE table_41214 ("Television service" TEXT, "Country" TEXT, "Language" TEXT, "Content" TEXT, "HDTV" TEXT, "Package/Option" TEXT)
| What is the HDTV status of the r-light television service? | SELECT "HDTV" FROM table_41214 WHERE "Television service" = 'r-light' | SELECT "HDTV" FROM "table_41214" WHERE "Television service" = 'r-light' | 0.069336 |
CREATE TABLE table_204_517 (id DECIMAL, "name" TEXT, "date of birth" TEXT, "club" TEXT, "division" TEXT, "appointed" TEXT, "time as manager" TEXT)
| who is older - francis bosschaerts or peter maes ? | SELECT "name" FROM table_204_517 WHERE "name" IN ('francis bosschaerts', 'peter maes') ORDER BY "date of birth" LIMIT 1 | SELECT "name" FROM "table_204_517" WHERE "name" IN ('francis bosschaerts', 'peter maes') ORDER BY "date of birth" NULLS FIRST LIMIT 1 | 0.129883 |
CREATE TABLE table_68473 ("Team 1" TEXT, "Agg." TEXT, "Team 2" TEXT, "1st leg" TEXT, "2nd leg" TEXT)
| Who played as Team 2 against Team 1 SC Gagnoa? | SELECT "Team 2" FROM table_68473 WHERE "Team 1" = 'sc gagnoa' | SELECT "Team 2" FROM "table_68473" WHERE "Team 1" = 'sc gagnoa' | 0.061523 |
CREATE TABLE table_name_13 (current_club VARCHAR, player VARCHAR, year_born VARCHAR, height VARCHAR, position VARCHAR)
| What team does tariq kirksay, a guard who is taller than 1.8M and born before 1982, represent? | SELECT current_club FROM table_name_13 WHERE height > 1.8 AND position = "guard" AND year_born < 1982 AND player = "tariq kirksay" | SELECT "current_club" FROM "table_name_13" WHERE "guard" = "position" AND "height" > 1.8 AND "player" = "tariq kirksay" AND "year_born" < 1982 | 0.138672 |
CREATE TABLE table_11323 ("Tournament" TEXT, "Wins" FLOAT, "Top-10" FLOAT, "Top-25" FLOAT, "Events" FLOAT, "Cuts made" FLOAT)
| What is the lowest number of events a tournament with more tha 5 cuts and less than 13 top-25 has? | SELECT MIN("Events") FROM table_11323 WHERE "Cuts made" > '5' AND "Top-25" < '13' | SELECT MIN("Events") FROM "table_11323" WHERE "Cuts made" > '5' AND "Top-25" < '13' | 0.081055 |
CREATE TABLE table_13762472_3 (game INT, record VARCHAR)
| What was the last game where the record was 6-3? | SELECT MAX(game) FROM table_13762472_3 WHERE record = "6-3" | SELECT MAX("game") FROM "table_13762472_3" WHERE "6-3" = "record" | 0.063477 |
CREATE TABLE table_16799784_3 (latitude VARCHAR, longitude VARCHAR)
| At a longitude of 321.9e, what is the latitude of the features found? | SELECT latitude FROM table_16799784_3 WHERE longitude = "321.9E" | SELECT "latitude" FROM "table_16799784_3" WHERE "321.9E" = "longitude" | 0.068359 |
CREATE TABLE table_name_7 (inhabitants INT, party VARCHAR, election VARCHAR)
| How many Inhabitants were there after 2009 in the Municipality with a Party of union for trentino? | SELECT AVG(inhabitants) FROM table_name_7 WHERE party = "union for trentino" AND election > 2009 | SELECT AVG("inhabitants") FROM "table_name_7" WHERE "election" > 2009 AND "party" = "union for trentino" | 0.101563 |
CREATE TABLE table_30120560_1 (barony VARCHAR, area__acres__ VARCHAR)
| what is the barony and an area of 560? | SELECT barony FROM table_30120560_1 WHERE area__acres__ = 560 | SELECT "barony" FROM "table_30120560_1" WHERE "area__acres__" = 560 | 0.06543 |
CREATE TABLE table_13259009_2 (opponent VARCHAR, game_site VARCHAR)
| What team was the opponent at Mile High Stadium? | SELECT opponent FROM table_13259009_2 WHERE game_site = "Mile High Stadium" | SELECT "opponent" FROM "table_13259009_2" WHERE "Mile High Stadium" = "game_site" | 0.079102 |
CREATE TABLE table_name_96 (loss VARCHAR, record VARCHAR)
| What was the loss of the Mariners game when they had a record of 22-35? | SELECT loss FROM table_name_96 WHERE record = "22-35" | SELECT "loss" FROM "table_name_96" WHERE "22-35" = "record" | 0.057617 |
CREATE TABLE table_104858_1 (admits_boys_girls VARCHAR, name_of_member_organization VARCHAR)
| Does the Scout Association of Hong Kong admit boys, girls, or both? | SELECT admits_boys_girls FROM table_104858_1 WHERE name_of_member_organization = "The Scout Association of Hong Kong" | SELECT "admits_boys_girls" FROM "table_104858_1" WHERE "The Scout Association of Hong Kong" = "name_of_member_organization" | 0.120117 |
CREATE TABLE table_name_26 (record VARCHAR, week VARCHAR, game_site VARCHAR)
| What's the record after week 12 with a game site of bye? | SELECT record FROM table_name_26 WHERE week > 12 AND game_site = "bye" | SELECT "record" FROM "table_name_26" WHERE "bye" = "game_site" AND "week" > 12 | 0.076172 |
CREATE TABLE table_26174 ("Warship" TEXT, "tons ( L.ton ) " FLOAT, "Horse- power" FLOAT, "Speed ( Knots ) " TEXT, "Armour ( Inch ) " TEXT, "Main Artillery" TEXT, "Built Year" FLOAT)
| How much does the Independencia weight? | SELECT MIN("tons ( L.ton )") FROM table_26174 WHERE "Warship" = 'Independencia' | SELECT MIN("tons ( L.ton )") FROM "table_26174" WHERE "Warship" = 'Independencia' | 0.079102 |
CREATE TABLE table_44351 ("Player" TEXT, "Country" TEXT, "Year ( s ) won" TEXT, "Total" FLOAT, "To par" TEXT, "Finish" TEXT)
| What player from South Africa had a total less than 284? | SELECT "Player" FROM table_44351 WHERE "Total" < '284' AND "Country" = 'south africa' | SELECT "Player" FROM "table_44351" WHERE "Country" = 'south africa' AND "Total" < '284' | 0.084961 |
CREATE TABLE table_name_12 (pop_density__per_km2_ INT, district VARCHAR, s_barangay VARCHAR)
| What is the lowest population density for the district of Santa Cruz and a Barangay larger than 82? | SELECT MIN(pop_density__per_km2_) FROM table_name_12 WHERE district = "santa cruz" AND s_barangay > 82 | SELECT MIN("pop_density__per_km2_") FROM "table_name_12" WHERE "district" = "santa cruz" AND "s_barangay" > 82 | 0.107422 |
CREATE TABLE table_25982 ("Season" FLOAT, "Series" TEXT, "Team" TEXT, "Races" FLOAT, "Wins" FLOAT, "Poles" FLOAT, "F/Laps" FLOAT, "Podiums" FLOAT, "Points" TEXT, "Position" TEXT)
| Which team has nc position for 2010 season? | SELECT "Team" FROM table_25982 WHERE "Position" = 'NC' AND "Season" = '2010' | SELECT "Team" FROM "table_25982" WHERE "Position" = 'NC' AND "Season" = '2010' | 0.076172 |
CREATE TABLE table_203_506 (id DECIMAL, "opponent" TEXT, "played" DECIMAL, "won" DECIMAL, "lost" DECIMAL, "drawn" DECIMAL, "% won overall" TEXT)
| name two countries that the england women 's rfu have played above thirty games against . | SELECT "opponent" FROM table_203_506 WHERE "played" >= 30 | SELECT "opponent" FROM "table_203_506" WHERE "played" >= 30 | 0.057617 |
CREATE TABLE Products (Code INT, Name VARCHAR, Price DECIMAL, Manufacturer INT)
CREATE TABLE Manufacturers (Code INT, Name VARCHAR, Headquarter VARCHAR, Founder VARCHAR, Revenue FLOAT)
| Draw a bar chart for what are the names and average prices of products for manufacturers whose products cost on average 150 or more?, and list in descending by the Name. | SELECT T2.Name, AVG(T1.Price) FROM Products AS T1 JOIN Manufacturers AS T2 ON T1.Manufacturer = T2.Code GROUP BY T2.Name ORDER BY T2.Name DESC | SELECT "T2"."Name", AVG("T1"."Price") FROM "Products" AS "T1" JOIN "Manufacturers" AS "T2" ON "T1"."Manufacturer" = "T2"."Code" GROUP BY "T2"."Name" ORDER BY "T2"."Name" DESC NULLS LAST | 0.180664 |
CREATE TABLE table_name_67 (year INT, total_score VARCHAR, country VARCHAR)
| When the United States had a total score of 274 what was the average year? | SELECT AVG(year) FROM table_name_67 WHERE total_score = "274" AND country = "united states" | SELECT AVG("year") FROM "table_name_67" WHERE "274" = "total_score" AND "country" = "united states" | 0.09668 |
CREATE TABLE club (clubid VARCHAR, clubname VARCHAR)
CREATE TABLE student (age INT, stuid VARCHAR)
CREATE TABLE member_of_club (clubid VARCHAR, stuid VARCHAR)
| Find the average age of members of the club 'Hopkins Student Enterprises'. | SELECT AVG(t3.age) FROM club AS t1 JOIN member_of_club AS t2 ON t1.clubid = t2.clubid JOIN student AS t3 ON t2.stuid = t3.stuid WHERE t1.clubname = "Hopkins Student Enterprises" | SELECT AVG("t3"."age") FROM "club" AS "t1" JOIN "member_of_club" AS "t2" ON "t1"."clubid" = "t2"."clubid" JOIN "student" AS "t3" ON "t2"."stuid" = "t3"."stuid" WHERE "Hopkins Student Enterprises" = "t1"."clubname" | 0.208008 |
CREATE TABLE table_78303 ("Driver" TEXT, "Team" TEXT, "Laps" FLOAT, "Time/Retired" TEXT, "Grid" FLOAT, "Points" FLOAT)
| How many average laps for Alex Tagliani with more than 17 points? | SELECT AVG("Laps") FROM table_78303 WHERE "Driver" = 'alex tagliani' AND "Points" > '17' | SELECT AVG("Laps") FROM "table_78303" WHERE "Driver" = 'alex tagliani' AND "Points" > '17' | 0.087891 |
CREATE TABLE stadium (id INT, name TEXT, Home_Games INT, Average_Attendance FLOAT, Total_Attendance FLOAT, Capacity_Percentage FLOAT)
CREATE TABLE injury_accident (game_id INT, id INT, Player TEXT, Injury TEXT, Number_of_matches TEXT, Source TEXT)
CREATE TABLE game (stadium_id INT, id INT, Season INT, Date TEXT, Home_team TEXT, Away_team TEXT, Score TEXT, Competition TEXT)
| I want to see trend of the number of season by season, and order by the X-axis in ascending. | SELECT Season, COUNT(Season) FROM game GROUP BY Season ORDER BY Season | SELECT "Season", COUNT("Season") FROM "game" GROUP BY "Season" ORDER BY "Season" NULLS FIRST | 0.089844 |
CREATE TABLE table_40106 ("Championship" TEXT, "Current champion ( s ) " TEXT, "Previous champion ( s ) " TEXT, "Date won" TEXT, "Location" TEXT)
| Who is the current champion in the NECW Heavyweight Championship? | SELECT "Current champion(s)" FROM table_40106 WHERE "Championship" = 'necw heavyweight champion' | SELECT "Current champion(s)" FROM "table_40106" WHERE "Championship" = 'necw heavyweight champion' | 0.095703 |
CREATE TABLE table_name_73 (rank INT, lane VARCHAR)
| What was the rank of the player in lane 6? | SELECT AVG(rank) FROM table_name_73 WHERE lane = 6 | SELECT AVG("rank") FROM "table_name_73" WHERE "lane" = 6 | 0.054688 |
CREATE TABLE Votes (Id DECIMAL, PostId DECIMAL, VoteTypeId DECIMAL, UserId DECIMAL, CreationDate TIME, BountyAmount DECIMAL)
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 CloseReasonTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE ReviewTaskTypes (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 Tags (Id DECIMAL, TagName TEXT, Count DECIMAL, ExcerptPostId DECIMAL, WikiPostId DECIMAL)
CREATE TABLE ReviewTaskResults (Id DECIMAL, ReviewTaskId DECIMAL, ReviewTaskResultTypeId DECIMAL, CreationDate TIME, RejectionReasonId DECIMAL, Comment TEXT)
CREATE TABLE PostTypes (Id DECIMAL, Name TEXT)
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 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 VoteTypes (Id DECIMAL, Name TEXT)
CREATE TABLE PostNoticeTypes (Id DECIMAL, ClassId DECIMAL, Name TEXT, Body TEXT, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId DECIMAL)
CREATE TABLE PendingFlags (Id DECIMAL, FlagTypeId DECIMAL, PostId DECIMAL, CreationDate TIME, CloseReasonTypeId DECIMAL, CloseAsOffTopicReasonTypeId DECIMAL, DuplicateOfQuestionId DECIMAL, BelongsOnBaseHostAddress TEXT)
CREATE TABLE ReviewTaskStates (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE SuggestedEditVotes (Id DECIMAL, SuggestedEditId DECIMAL, UserId DECIMAL, VoteTypeId DECIMAL, CreationDate TIME, TargetUserId DECIMAL, TargetRepChange DECIMAL)
CREATE TABLE PostTags (PostId DECIMAL, TagId 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)
CREATE TABLE FlagTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE ReviewRejectionReasons (Id DECIMAL, Name TEXT, Description TEXT, PostTypeId DECIMAL)
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 PostNotices (Id DECIMAL, PostId DECIMAL, PostNoticeTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body TEXT, OwnerUserId DECIMAL, DeletionUserId DECIMAL)
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 PostLinks (Id DECIMAL, CreationDate TIME, PostId DECIMAL, RelatedPostId DECIMAL, LinkTypeId DECIMAL)
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 Badges (Id DECIMAL, UserId DECIMAL, Name TEXT, Date TIME, Class DECIMAL, TagBased BOOLEAN)
CREATE TABLE PostHistoryTypes (Id DECIMAL, Name TEXT)
CREATE TABLE Comments (Id DECIMAL, PostId DECIMAL, Score DECIMAL, Text TEXT, CreationDate TIME, UserDisplayName TEXT, UserId DECIMAL, ContentLicense TEXT)
CREATE TABLE ReviewTaskResultTypes (Id DECIMAL, Name TEXT, Description TEXT)
| Least used tags over longest time.. | SELECT t.TagName, t.Count, MIN(p.CreationDate) FROM Tags AS t JOIN PostTags AS pt ON t.Id = pt.TagId JOIN Posts AS p ON p.Id = pt.PostId WHERE t.Count <= 3 GROUP BY t.TagName, t.Count ORDER BY MIN(p.CreationDate) LIMIT 100 | SELECT "t"."TagName", "t"."Count", MIN("p"."CreationDate") FROM "Tags" AS "t" JOIN "PostTags" AS "pt" ON "pt"."TagId" = "t"."Id" JOIN "Posts" AS "p" ON "p"."Id" = "pt"."PostId" WHERE "t"."Count" <= 3 GROUP BY "t"."TagName", "t"."Count" ORDER BY MIN("p"."CreationDate") NULLS FIRST LIMIT 100 | 0.283203 |
CREATE TABLE table_22992 ("Pos" FLOAT, "Member Association" TEXT, "Points ( total 500 ) " FLOAT, "Clubs" FLOAT, "Group stage" FLOAT, "Play-off" FLOAT, "AFC Cup" FLOAT)
| what is the play-off in group stage 4 and clubs is 12 | SELECT "Play-off" FROM table_22992 WHERE "Group stage" = '4' AND "Clubs" = '12' | SELECT "Play-off" FROM "table_22992" WHERE "Clubs" = '12' AND "Group stage" = '4' | 0.079102 |
CREATE TABLE table_name_75 (school VARCHAR, player VARCHAR)
| Which school drafted dave lewis? | SELECT school FROM table_name_75 WHERE player = "dave lewis" | SELECT "school" FROM "table_name_75" WHERE "dave lewis" = "player" | 0.064453 |
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)
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)
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)
| how many patients are diagnosed for primary disease sigmoid diverticulitis, colovestical fistula/sda and treated via nu drug route? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.diagnosis = "SIGMOID DIVERTICULITIS, COLOVESTICAL FISTULA/SDA" AND prescriptions.route = "NU" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "prescriptions" ON "NU" = "prescriptions"."route" AND "demographic"."hadm_id" = "prescriptions"."hadm_id" WHERE "SIGMOID DIVERTICULITIS, COLOVESTICAL FISTULA/SDA" = "demographic"."diagnosis" | 0.257813 |
CREATE TABLE Apartments (apt_id INT, building_id INT, apt_type_code CHAR, apt_number CHAR, bathroom_count INT, bedroom_count INT, room_count CHAR)
CREATE TABLE Apartment_Facilities (apt_id INT, facility_code CHAR)
CREATE TABLE Apartment_Bookings (apt_booking_id INT, apt_id INT, guest_id INT, booking_status_code CHAR, booking_start_date DATETIME, booking_end_date DATETIME)
CREATE TABLE Guests (guest_id INT, gender_code CHAR, guest_first_name VARCHAR, guest_last_name VARCHAR, date_of_birth DATETIME)
CREATE TABLE View_Unit_Status (apt_id INT, apt_booking_id INT, status_date DATETIME, available_yn BIT)
CREATE TABLE Apartment_Buildings (building_id INT, building_short_name CHAR, building_full_name VARCHAR, building_description VARCHAR, building_address VARCHAR, building_manager VARCHAR, building_phone VARCHAR)
| Plot how many booking start date by grouped by booking start date as a bar graph, display by the total number from high to low please. | SELECT booking_start_date, COUNT(booking_start_date) FROM Apartment_Bookings ORDER BY COUNT(booking_start_date) DESC | SELECT "booking_start_date", COUNT("booking_start_date") FROM "Apartment_Bookings" ORDER BY COUNT("booking_start_date") DESC NULLS LAST | 0.131836 |
CREATE TABLE table_name_29 (home_team VARCHAR, away_team VARCHAR)
| Which home team played the Away team from Richmond? | SELECT home_team FROM table_name_29 WHERE away_team = "richmond" | SELECT "home_team" FROM "table_name_29" WHERE "away_team" = "richmond" | 0.068359 |
CREATE TABLE table_name_11 (game INT, high_assists VARCHAR)
| What is the lowest Game, when High Assists is 'Maurice Williams (8)'? | SELECT MIN(game) FROM table_name_11 WHERE high_assists = "maurice williams (8)" | SELECT MIN("game") FROM "table_name_11" WHERE "high_assists" = "maurice williams (8)" | 0.083008 |
CREATE TABLE appellations (No INT, Appelation TEXT, County TEXT, State TEXT, Area TEXT, isAVA TEXT)
CREATE TABLE wine (No INT, Grape TEXT, Winery TEXT, Appelation TEXT, State TEXT, Name TEXT, Year INT, Price INT, Score INT, Cases INT, Drink TEXT)
CREATE TABLE grapes (ID INT, Grape TEXT, Color TEXT)
| Give me a bar chart for those countries of all appellations who have at most three wines, I want to list from high to low by the x-axis. | SELECT County, COUNT(County) FROM appellations AS T1 JOIN wine AS T2 ON T1.Appelation = T2.Appelation GROUP BY County ORDER BY County DESC | SELECT "County", COUNT("County") FROM "appellations" AS "T1" JOIN "wine" AS "T2" ON "T1"."Appelation" = "T2"."Appelation" GROUP BY "County" ORDER BY "County" DESC NULLS LAST | 0.168945 |
CREATE TABLE table_46351 ("Year" FLOAT, "Round" TEXT, "Opponent" TEXT, "Result" TEXT, "BSU Head Coach" TEXT)
| Who was the opponent before 1994 with bobby dye as the BSU head coach? | SELECT "Opponent" FROM table_46351 WHERE "BSU Head Coach" = 'bobby dye' AND "Year" < '1994' | SELECT "Opponent" FROM "table_46351" WHERE "BSU Head Coach" = 'bobby dye' AND "Year" < '1994' | 0.09082 |
CREATE TABLE table_80276 ("Year" TEXT, "Team" TEXT, "Chassis" TEXT, "Engine" TEXT, "Rank" TEXT)
| Which engine finished 7th with the reynard 95i chassis? | SELECT "Engine" FROM table_80276 WHERE "Rank" = '7th' AND "Chassis" = 'reynard 95i' | SELECT "Engine" FROM "table_80276" WHERE "Chassis" = 'reynard 95i' AND "Rank" = '7th' | 0.083008 |
CREATE TABLE table_name_98 (junctions VARCHAR, termini VARCHAR)
| What are the junctions of the route with termini aguilares, texas us 59? | SELECT junctions FROM table_name_98 WHERE termini = "aguilares, texas us 59" | SELECT "junctions" FROM "table_name_98" WHERE "aguilares, texas us 59" = "termini" | 0.080078 |
CREATE TABLE table_16388506_1 (crowd INT, home_team VARCHAR)
| What is the largest crowd when essendon is the home team? | SELECT MAX(crowd) FROM table_16388506_1 WHERE home_team = "Essendon" | SELECT MAX("crowd") FROM "table_16388506_1" WHERE "Essendon" = "home_team" | 0.072266 |
CREATE TABLE table_name_65 (club_career VARCHAR, league_goals VARCHAR, league_apps VARCHAR, position VARCHAR, total_goals VARCHAR)
| What was the club career for players in positions of DF, fewer than 18 total goals, fewer than 129 league appearances, and more than 7 league goals? | SELECT club_career FROM table_name_65 WHERE position = "df" AND total_goals < 18 AND league_apps < 129 AND league_goals > 7 | SELECT "club_career" FROM "table_name_65" WHERE "df" = "position" AND "league_apps" < 129 AND "league_goals" > 7 AND "total_goals" < 18 | 0.131836 |
CREATE TABLE table_name_1 (coach VARCHAR, captain VARCHAR)
| Which coach works with Robert Harvey? | SELECT coach FROM table_name_1 WHERE captain = "robert harvey" | SELECT "coach" FROM "table_name_1" WHERE "captain" = "robert harvey" | 0.066406 |
CREATE TABLE table_2140071_10 (season VARCHAR, premier_date VARCHAR)
| Name the season for august 16, 2010 | SELECT season FROM table_2140071_10 WHERE premier_date = "August 16, 2010" | SELECT "season" FROM "table_2140071_10" WHERE "August 16, 2010" = "premier_date" | 0.078125 |
CREATE TABLE table_18025024_7 (save VARCHAR, score VARCHAR)
| How many saves were in the Georgia game, versus the Bulldogs, with a score of 7-6? | SELECT save FROM table_18025024_7 WHERE score = "7-6" | SELECT "save" FROM "table_18025024_7" WHERE "7-6" = "score" | 0.057617 |
CREATE TABLE table_name_74 (type VARCHAR, name VARCHAR)
| What is the type of station for ESPN International Sports? | SELECT type FROM table_name_74 WHERE name = "espn international sports" | SELECT "type" FROM "table_name_74" WHERE "espn international sports" = "name" | 0.075195 |
CREATE TABLE table_name_63 (championship_game VARCHAR, conference VARCHAR)
| What was the championship game for the Southwest conference? | SELECT championship_game FROM table_name_63 WHERE conference = "southwest" | SELECT "championship_game" FROM "table_name_63" WHERE "conference" = "southwest" | 0.078125 |
CREATE TABLE medicine (id DECIMAL, name TEXT, trade_name TEXT, fda_approved TEXT)
CREATE TABLE medicine_enzyme_interaction (enzyme_id DECIMAL, medicine_id DECIMAL, interaction_type TEXT)
CREATE TABLE enzyme (id DECIMAL, name TEXT, location TEXT, product TEXT, chromosome TEXT, omim DECIMAL, porphyria TEXT)
| What is the most common interaction type between enzymes and medicine? And how many are there? | SELECT interaction_type, COUNT(*) FROM medicine_enzyme_interaction GROUP BY interaction_type ORDER BY COUNT(*) DESC LIMIT 1 | SELECT "interaction_type", COUNT(*) FROM "medicine_enzyme_interaction" GROUP BY "interaction_type" ORDER BY COUNT(*) DESC NULLS LAST LIMIT 1 | 0.136719 |
CREATE TABLE table_64218 ("Rank" FLOAT, "Athletes" TEXT, "Country" TEXT, "Time" TEXT, "Notes" TEXT)
| What is the Rank of the Athletes from Ukraine? | SELECT COUNT("Rank") FROM table_64218 WHERE "Country" = 'ukraine' | SELECT COUNT("Rank") FROM "table_64218" WHERE "Country" = 'ukraine' | 0.06543 |
CREATE TABLE departments (DEPARTMENT_ID DECIMAL, DEPARTMENT_NAME VARCHAR, MANAGER_ID DECIMAL, LOCATION_ID 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 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 countries (COUNTRY_ID VARCHAR, COUNTRY_NAME VARCHAR, REGION_ID DECIMAL)
CREATE TABLE regions (REGION_ID DECIMAL, REGION_NAME VARCHAR)
CREATE TABLE job_history (EMPLOYEE_ID DECIMAL, START_DATE DATE, END_DATE DATE, JOB_ID VARCHAR, DEPARTMENT_ID DECIMAL)
| For those employees who do not work in departments with managers that have ids between 100 and 200, return a bar chart about the distribution of hire_date and the average of salary bin hire_date by time, list by the mean salary from high to low please. | SELECT HIRE_DATE, AVG(SALARY) FROM employees WHERE NOT DEPARTMENT_ID IN (SELECT DEPARTMENT_ID FROM departments WHERE MANAGER_ID BETWEEN 100 AND 200) ORDER BY AVG(SALARY) DESC | SELECT "HIRE_DATE", AVG("SALARY") FROM "employees" WHERE NOT "DEPARTMENT_ID" IN (SELECT "DEPARTMENT_ID" FROM "departments" WHERE "MANAGER_ID" <= 200 AND "MANAGER_ID" >= 100) ORDER BY AVG("SALARY") DESC NULLS LAST | 0.207031 |
CREATE TABLE table_name_32 (points INT, chassis VARCHAR, year VARCHAR)
| What are the lowest points with a Chassis of zakspeed 841, and a Year smaller than 1985? | SELECT MIN(points) FROM table_name_32 WHERE chassis = "zakspeed 841" AND year < 1985 | SELECT MIN("points") FROM "table_name_32" WHERE "chassis" = "zakspeed 841" AND "year" < 1985 | 0.089844 |
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 orders (order_id DECIMAL, customer_id DECIMAL, date_order_placed TIME, order_details TEXT)
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 invoices (invoice_number DECIMAL, order_id DECIMAL, invoice_date TIME)
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 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 accounts (account_id DECIMAL, customer_id DECIMAL, date_account_opened TIME, account_name TEXT, other_account_details TEXT)
CREATE TABLE order_items (order_item_id DECIMAL, order_id DECIMAL, product_id DECIMAL, product_quantity TEXT, other_order_item_details TEXT)
CREATE TABLE product_categories (production_type_code TEXT, product_type_description TEXT, vat_rating DECIMAL)
| How many transaction does each account have? Show the number and account id. | SELECT COUNT(*), account_id FROM financial_transactions | SELECT COUNT(*), "account_id" FROM "financial_transactions" | 0.057617 |
CREATE TABLE table_name_65 (entrant VARCHAR, driver VARCHAR, rounds VARCHAR, chassis VARCHAR)
| Who was the entrant for Gabriele Tarquini with all rounds and a JH24 JH25 Chassis? | SELECT entrant FROM table_name_65 WHERE rounds = "all" AND chassis = "jh24 jh25" AND driver = "gabriele tarquini" | SELECT "entrant" FROM "table_name_65" WHERE "all" = "rounds" AND "chassis" = "jh24 jh25" AND "driver" = "gabriele tarquini" | 0.120117 |
CREATE TABLE table_73255 ("Locale" TEXT, "Skip" TEXT, "W" FLOAT, "L" FLOAT, "PF" FLOAT, "PA" FLOAT, "Ends Won" FLOAT, "Ends Lost" FLOAT, "Blank Ends" FLOAT, "Stolen Ends" FLOAT, "Shot Pct." FLOAT)
| Where was the shot pct 78? | SELECT "Locale" FROM table_73255 WHERE "Shot Pct." = '78' | SELECT "Locale" FROM "table_73255" WHERE "Shot Pct." = '78' | 0.057617 |
CREATE TABLE table_34412 ("Game" FLOAT, "December" FLOAT, "Opponent" TEXT, "Score" TEXT, "Record" TEXT, "Points" FLOAT)
| Which December has a Record of 21 6 5? | SELECT AVG("December") FROM table_34412 WHERE "Record" = '21–6–5' | SELECT AVG("December") FROM "table_34412" WHERE "Record" = '21–6–5' | 0.06543 |
CREATE TABLE table_11621747_1 (tournament VARCHAR, date VARCHAR)
| What is the tournament on Jul 11? | SELECT tournament FROM table_11621747_1 WHERE date = "Jul 11" | SELECT "tournament" FROM "table_11621747_1" WHERE "Jul 11" = "date" | 0.06543 |
CREATE TABLE Participants_in_Events (Event_ID INT, Participant_ID INT)
CREATE TABLE Events (Event_ID INT, Service_ID INT, Event_Details VARCHAR)
CREATE TABLE Participants (Participant_ID INT, Participant_Type_Code CHAR, Participant_Details VARCHAR)
CREATE TABLE Services (Service_ID INT, Service_Type_Code CHAR)
| A bar chart about what are the ids and details of events that have more than one participants?, I want to rank in asc by the total number of event id. | SELECT T1.Event_Details, T1.Event_ID FROM Events AS T1 JOIN Participants_in_Events AS T2 ON T1.Event_ID = T2.Event_ID GROUP BY T1.Event_Details ORDER BY T1.Event_ID | SELECT "T1"."Event_Details", "T1"."Event_ID" FROM "Events" AS "T1" JOIN "Participants_in_Events" AS "T2" ON "T1"."Event_ID" = "T2"."Event_ID" GROUP BY "T1"."Event_Details" ORDER BY "T1"."Event_ID" NULLS FIRST | 0.203125 |
CREATE TABLE table_1099080_1 (bleeding_time VARCHAR, condition VARCHAR)
| What was the bleeding time for factor xii deficiency | SELECT bleeding_time FROM table_1099080_1 WHERE condition = "Factor XII deficiency" | SELECT "bleeding_time" FROM "table_1099080_1" WHERE "Factor XII deficiency" = "condition" | 0.086914 |
CREATE TABLE film (Title VARCHAR, Film_ID VARCHAR)
CREATE TABLE film_market_estimation (Type VARCHAR, Film_ID VARCHAR)
| Please show the titles of films and the types of market estimations. | SELECT T1.Title, T2.Type FROM film AS T1 JOIN film_market_estimation AS T2 ON T1.Film_ID = T2.Film_ID | SELECT "T1"."Title", "T2"."Type" FROM "film" AS "T1" JOIN "film_market_estimation" AS "T2" ON "T1"."Film_ID" = "T2"."Film_ID" | 0.12207 |
CREATE TABLE PostHistoryTypes (Id DECIMAL, Name TEXT)
CREATE TABLE Votes (Id DECIMAL, PostId DECIMAL, VoteTypeId DECIMAL, UserId DECIMAL, CreationDate TIME, BountyAmount DECIMAL)
CREATE TABLE ReviewTaskTypes (Id DECIMAL, Name TEXT, Description TEXT)
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 PostNoticeTypes (Id DECIMAL, ClassId DECIMAL, Name TEXT, Body TEXT, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId DECIMAL)
CREATE TABLE VoteTypes (Id DECIMAL, Name TEXT)
CREATE TABLE ReviewRejectionReasons (Id DECIMAL, Name TEXT, Description TEXT, PostTypeId DECIMAL)
CREATE TABLE FlagTypes (Id DECIMAL, Name TEXT, Description TEXT)
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)
CREATE TABLE ReviewTaskResultTypes (Id DECIMAL, Name TEXT, Description TEXT)
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 Tags (Id DECIMAL, TagName TEXT, Count DECIMAL, ExcerptPostId DECIMAL, WikiPostId DECIMAL)
CREATE TABLE PostLinks (Id DECIMAL, CreationDate TIME, PostId DECIMAL, RelatedPostId DECIMAL, LinkTypeId DECIMAL)
CREATE TABLE PostTypes (Id DECIMAL, Name TEXT)
CREATE TABLE CloseReasonTypes (Id DECIMAL, Name TEXT, Description TEXT)
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 PendingFlags (Id DECIMAL, FlagTypeId DECIMAL, PostId DECIMAL, CreationDate TIME, CloseReasonTypeId DECIMAL, CloseAsOffTopicReasonTypeId DECIMAL, DuplicateOfQuestionId DECIMAL, BelongsOnBaseHostAddress TEXT)
CREATE TABLE PostNotices (Id DECIMAL, PostId DECIMAL, PostNoticeTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body TEXT, OwnerUserId DECIMAL, DeletionUserId DECIMAL)
CREATE TABLE Comments (Id DECIMAL, PostId DECIMAL, Score DECIMAL, Text TEXT, CreationDate TIME, UserDisplayName TEXT, UserId DECIMAL, ContentLicense 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 SuggestedEditVotes (Id DECIMAL, SuggestedEditId DECIMAL, UserId DECIMAL, VoteTypeId DECIMAL, CreationDate TIME, TargetUserId DECIMAL, TargetRepChange DECIMAL)
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 PostFeedback (Id DECIMAL, PostId DECIMAL, IsAnonymous BOOLEAN, VoteTypeId DECIMAL, CreationDate TIME)
CREATE TABLE PostTags (PostId DECIMAL, TagId DECIMAL)
CREATE TABLE ReviewTaskResults (Id DECIMAL, ReviewTaskId DECIMAL, ReviewTaskResultTypeId DECIMAL, CreationDate TIME, RejectionReasonId DECIMAL, Comment TEXT)
CREATE TABLE ReviewTasks (Id DECIMAL, ReviewTaskTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId DECIMAL, PostId DECIMAL, SuggestedEditId DECIMAL, CompletedByReviewTaskId DECIMAL)
CREATE TABLE TagSynonyms (Id DECIMAL, SourceTagName TEXT, TargetTagName TEXT, CreationDate TIME, OwnerUserId DECIMAL, AutoRenameCount DECIMAL, LastAutoRename TIME, Score DECIMAL, ApprovedByUserId DECIMAL, ApprovalDate TIME)
| By City in Reputation Range. | SELECT ROW_NUMBER() OVER (ORDER BY Reputation DESC) AS "#", Id AS "user_link", Location, Age, LastAccessDate, Reputation FROM Users WHERE LOWER(Location) LIKE LOWER('%##Country##%') AND Reputation > '##reputation:int##' ORDER BY Reputation DESC | SELECT ROW_NUMBER() OVER (ORDER BY "Reputation" DESC NULLS LAST) AS "#", "Id" AS "user_link", "Location", "Age", "LastAccessDate", "Reputation" FROM "Users" WHERE "Reputation" > '##reputation:int##' AND LOWER("Location") LIKE LOWER('%##Country##%') ORDER BY "Reputation" DESC NULLS LAST | 0.279297 |
CREATE TABLE table_name_23 (opponent VARCHAR, surface VARCHAR, tournament VARCHAR)
| Who was the opponent in the math that was played in Nice on a clay court? | SELECT opponent FROM table_name_23 WHERE surface = "clay" AND tournament = "nice" | SELECT "opponent" FROM "table_name_23" WHERE "clay" = "surface" AND "nice" = "tournament" | 0.086914 |
CREATE TABLE table_68684 ("Date" TEXT, "Opponent" TEXT, "Score" TEXT, "Loss" TEXT, "Attendance" FLOAT, "Record" TEXT)
| Who was the opponent on July 27? | SELECT "Opponent" FROM table_68684 WHERE "Date" = 'july 27' | SELECT "Opponent" FROM "table_68684" WHERE "Date" = 'july 27' | 0.05957 |
CREATE TABLE table_name_33 (catalogue VARCHAR, date VARCHAR, region VARCHAR, format VARCHAR)
| Which catalogue is from the UK region, and is on vinyl, and was dated in 1986? | SELECT catalogue FROM table_name_33 WHERE region = "uk" AND format = "vinyl" AND date = "1986" | SELECT "catalogue" FROM "table_name_33" WHERE "1986" = "date" AND "format" = "vinyl" AND "region" = "uk" | 0.101563 |
CREATE TABLE producer (pid INT, gender TEXT, name TEXT, nationality TEXT, birth_city TEXT, birth_year INT)
CREATE TABLE cast (id INT, msid INT, aid INT, role TEXT)
CREATE TABLE writer (wid INT, gender TEXT, name TEXT, nationality TEXT, birth_city TEXT, birth_year INT)
CREATE TABLE directed_by (id INT, msid INT, did INT)
CREATE TABLE movie (mid INT, title TEXT, release_year INT, title_aka TEXT, budget TEXT)
CREATE TABLE actor (aid INT, gender TEXT, name TEXT, nationality TEXT, birth_city TEXT, birth_year INT)
CREATE TABLE genre (gid INT, genre TEXT)
CREATE TABLE tv_series (sid INT, title TEXT, release_year INT, num_of_seasons INT, num_of_episodes INT, title_aka TEXT, budget TEXT)
CREATE TABLE written_by (id INT, msid INT, wid INT)
CREATE TABLE director (did INT, gender TEXT, name TEXT, nationality TEXT, birth_city TEXT, birth_year INT)
CREATE TABLE company (id INT, name TEXT, country_code VARCHAR)
CREATE TABLE keyword (id INT, keyword TEXT)
CREATE TABLE classification (id INT, msid INT, gid INT)
CREATE TABLE made_by (id INT, msid INT, pid INT)
CREATE TABLE tags (id INT, msid INT, kid INT)
CREATE TABLE copyright (id INT, msid INT, cid INT)
| find all films in which ' Rowan Atkinson ' acted as ' Mr. Bean | SELECT movie.title FROM actor, cast, movie WHERE actor.name = 'Rowan Atkinson' AND cast.aid = actor.aid AND cast.role = 'Mr. Bean' AND movie.mid = cast.msid | SELECT "movie"."title" FROM "actor" JOIN "cast" ON "actor"."aid" = "cast"."aid" AND "cast"."role" = 'Mr. Bean' JOIN "movie" ON "cast"."msid" = "movie"."mid" WHERE "actor"."name" = 'Rowan Atkinson' | 0.191406 |
CREATE TABLE table_25005714_3 (bus_type VARCHAR, texture___gt__s_ VARCHAR)
| What is every bus type for the texture of fillrate? | SELECT bus_type FROM table_25005714_3 WHERE texture___gt__s_ = "Fillrate" | SELECT "bus_type" FROM "table_25005714_3" WHERE "Fillrate" = "texture___gt__s_" | 0.077148 |
CREATE TABLE table_name_51 (attendance VARCHAR, home_team VARCHAR)
| what is the attendance when the home team is chester city? | SELECT attendance FROM table_name_51 WHERE home_team = "chester city" | SELECT "attendance" FROM "table_name_51" WHERE "chester city" = "home_team" | 0.073242 |
CREATE TABLE city (city VARCHAR, GDP VARCHAR)
| Which city has the lowest GDP? Please list the city name and its GDP. | SELECT city, GDP FROM city ORDER BY GDP LIMIT 1 | SELECT "city", "GDP" FROM "city" ORDER BY "GDP" NULLS FIRST LIMIT 1 | 0.06543 |
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 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)
| how many patients admitted before the year 2200 had the diagnosis short title abn react-surg proc nec? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.admityear < "2200" AND diagnoses.short_title = "Abn react-surg proc NEC" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "Abn react-surg proc NEC" = "diagnoses"."short_title" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" WHERE "2200" > "demographic"."admityear" | 0.229492 |
CREATE TABLE table_name_59 (run_4 VARCHAR, run_1 VARCHAR)
| Which Run 4 has a Run 1 of 1:25.82? | SELECT run_4 FROM table_name_59 WHERE run_1 = "1:25.82" | SELECT "run_4" FROM "table_name_59" WHERE "1:25.82" = "run_1" | 0.05957 |
CREATE TABLE table_name_31 (championship VARCHAR, winning_score VARCHAR)
| What Championship had a Winning score of 6 & 5? | SELECT championship FROM table_name_31 WHERE winning_score = "6 & 5" | SELECT "championship" FROM "table_name_31" WHERE "6 & 5" = "winning_score" | 0.072266 |
CREATE TABLE table_41486 ("Date" TEXT, "Location" TEXT, "Country" TEXT, "Event" TEXT, "Winner" TEXT, "Runner-up" TEXT)
| What was the date of the tournament held in Indonesia? | SELECT "Date" FROM table_41486 WHERE "Country" = 'indonesia' | SELECT "Date" FROM "table_41486" WHERE "Country" = 'indonesia' | 0.060547 |
CREATE TABLE table_55345 ("Rank" FLOAT, "Nation" TEXT, "Gold" FLOAT, "Silver" FLOAT, "Bronze" FLOAT, "Total" FLOAT)
| What is the sum of a rank whose nation is West Germany and has bronze larger than 0? | SELECT SUM("Rank") FROM table_55345 WHERE "Nation" = 'west germany' AND "Bronze" > '0' | SELECT SUM("Rank") FROM "table_55345" WHERE "Bronze" > '0' AND "Nation" = 'west germany' | 0.085938 |
CREATE TABLE table_66727 ("Year" FLOAT, "Tournament" TEXT, "Venue" TEXT, "Result" TEXT, "Extra" TEXT)
| Result of 1st, and a Venue of melbourne , australia, and a Extra of 100 m happened in which year? | SELECT "Year" FROM table_66727 WHERE "Result" = '1st' AND "Venue" = 'melbourne , australia' AND "Extra" = '100 m' | SELECT "Year" FROM "table_66727" WHERE "Extra" = '100 m' AND "Result" = '1st' AND "Venue" = 'melbourne , australia' | 0.112305 |
CREATE TABLE school_details (school_id DECIMAL, nickname TEXT, colors TEXT, league TEXT, class TEXT, division TEXT)
CREATE TABLE player (player_id DECIMAL, player TEXT, team TEXT, age DECIMAL, position TEXT, school_id DECIMAL)
CREATE TABLE school (school_id DECIMAL, school TEXT, location TEXT, enrollment DECIMAL, founded DECIMAL, denomination TEXT, boys_or_girls TEXT, day_or_boarding TEXT, year_entered_competition DECIMAL, school_colors TEXT)
CREATE TABLE school_performance (school_id DECIMAL, school_year TEXT, class_a TEXT, class_aa TEXT)
| Show the locations of schools that have more than 1 player. | SELECT T2.location FROM player AS T1 JOIN school AS T2 ON T1.school_id = T2.school_id GROUP BY T1.school_id HAVING COUNT(*) > 1 | SELECT "T2"."location" FROM "player" AS "T1" JOIN "school" AS "T2" ON "T1"."school_id" = "T2"."school_id" GROUP BY "T1"."school_id" HAVING COUNT(*) > 1 | 0.147461 |
CREATE TABLE table_name_26 (semi_finalist__number2 VARCHAR, year VARCHAR)
| Who was the Semi-Finalist #2 in 2001? | SELECT semi_finalist__number2 FROM table_name_26 WHERE year = "2001" | SELECT "semi_finalist__number2" FROM "table_name_26" WHERE "2001" = "year" | 0.072266 |
CREATE TABLE table_11951237_2 (title VARCHAR, original_air_date VARCHAR)
| How many episodes originally aired on August 31, 1995? | SELECT COUNT(title) FROM table_11951237_2 WHERE original_air_date = "August 31, 1995" | SELECT COUNT("title") FROM "table_11951237_2" WHERE "August 31, 1995" = "original_air_date" | 0.088867 |
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 procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
| what is the number of patients who stayed in hospital for more than 0 days and used the drug insulin? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.days_stay > "0" AND prescriptions.drug = "insulin" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "prescriptions" ON "demographic"."hadm_id" = "prescriptions"."hadm_id" AND "insulin" = "prescriptions"."drug" WHERE "0" < "demographic"."days_stay" | 0.21582 |
CREATE TABLE table_name_28 (gross_revenue__2011_ VARCHAR, gross_revenue__1982_ VARCHAR)
| What is the gross revenue in 2011 with a gross revenue in 1982 of $1,988,047? | SELECT gross_revenue__2011_ FROM table_name_28 WHERE gross_revenue__1982_ = "$1,988,047" | SELECT "gross_revenue__2011_" FROM "table_name_28" WHERE "$1,988,047" = "gross_revenue__1982_" | 0.091797 |
CREATE TABLE course_offering (offering_id INT, course_id INT, semester INT, section_number INT, start_time TIME, end_time TIME, monday VARCHAR, tuesday VARCHAR, wednesday VARCHAR, thursday VARCHAR, friday VARCHAR, saturday VARCHAR, sunday VARCHAR, has_final_project VARCHAR, has_final_exam VARCHAR, textbook VARCHAR, class_address VARCHAR, allow_audit VARCHAR)
CREATE TABLE semester (semester_id INT, semester VARCHAR, year INT)
CREATE TABLE course_tags_count (course_id INT, clear_grading INT, pop_quiz INT, group_projects INT, inspirational INT, long_lectures INT, extra_credit INT, few_tests INT, good_feedback INT, tough_tests INT, heavy_papers INT, cares_for_students INT, heavy_assignments INT, respected INT, participation INT, heavy_reading INT, tough_grader INT, hilarious INT, would_take_again INT, good_lecture INT, no_skip INT)
CREATE TABLE ta (campus_job_id INT, student_id INT, location VARCHAR)
CREATE TABLE course_prerequisite (pre_course_id INT, course_id INT)
CREATE TABLE offering_instructor (offering_instructor_id INT, offering_id INT, instructor_id INT)
CREATE TABLE requirement (requirement_id INT, requirement VARCHAR, college VARCHAR)
CREATE TABLE program_course (program_id INT, course_id INT, workload INT, category VARCHAR)
CREATE TABLE area (course_id INT, area VARCHAR)
CREATE TABLE gsi (course_offering_id INT, student_id INT)
CREATE TABLE student_record (student_id INT, course_id INT, semester INT, grade VARCHAR, how VARCHAR, transfer_source VARCHAR, earn_credit VARCHAR, repeat_term VARCHAR, test_id VARCHAR)
CREATE TABLE program (program_id INT, name VARCHAR, college VARCHAR, introduction VARCHAR)
CREATE TABLE program_requirement (program_id INT, category VARCHAR, min_credit INT, additional_req VARCHAR)
CREATE TABLE comment_instructor (instructor_id INT, student_id INT, score INT, comment_text VARCHAR)
CREATE TABLE student (student_id INT, lastname VARCHAR, firstname VARCHAR, program_id INT, declare_major VARCHAR, total_credit INT, total_gpa FLOAT, entered_as VARCHAR, admit_term INT, predicted_graduation_semester INT, degree VARCHAR, minor VARCHAR, internship VARCHAR)
CREATE TABLE jobs (job_id INT, job_title VARCHAR, description VARCHAR, requirement VARCHAR, city VARCHAR, state VARCHAR, country VARCHAR, zip INT)
CREATE TABLE course (course_id INT, name VARCHAR, department VARCHAR, number VARCHAR, credits VARCHAR, advisory_requirement VARCHAR, enforced_requirement VARCHAR, description VARCHAR, num_semesters INT, num_enrolled INT, has_discussion VARCHAR, has_lab VARCHAR, has_projects VARCHAR, has_exams VARCHAR, num_reviews INT, clarity_score INT, easiness_score INT, helpfulness_score INT)
CREATE TABLE instructor (instructor_id INT, name VARCHAR, uniqname VARCHAR)
| Can you tell me who the teachers are for the courses in theory ? | SELECT DISTINCT instructor.name FROM instructor INNER JOIN offering_instructor ON offering_instructor.instructor_id = instructor.instructor_id INNER JOIN course_offering ON offering_instructor.offering_id = course_offering.offering_id INNER JOIN area ON course_offering.course_id = area.course_id WHERE area.area LIKE '%theory%' | SELECT DISTINCT "instructor"."name" FROM "instructor" JOIN "offering_instructor" ON "instructor"."instructor_id" = "offering_instructor"."instructor_id" JOIN "course_offering" ON "course_offering"."offering_id" = "offering_instructor"."offering_id" JOIN "area" ON "area"."area" LIKE '%theory%' AND "area"."course_id" = "course_offering"."course_id" | 0.339844 |
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