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CREATE TABLE table_name_70 (surface VARCHAR2, date VARCHAR2)
| Name the surface on june 11, 1995 | SELECT surface FROM table_name_70 WHERE date = "june 11, 1995" | SELECT "surface" FROM "table_name_70" WHERE "date" = "june 11, 1995" | 0.066406 |
CREATE TABLE chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE transfers (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, eventtype CLOB, careunit CLOB, wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
CREATE TABLE labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
CREATE TABLE admissions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, admittime TIME, dischtime TIME, admission_type CLOB, admission_location CLOB, discharge_location CLOB, insurance CLOB, language CLOB, marital_status CLOB, ethnicity CLOB, age NUMBER)
CREATE TABLE outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
CREATE TABLE cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE prescriptions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, startdate TIME, enddate TIME, drug CLOB, dose_val_rx CLOB, dose_unit_rx CLOB, route CLOB)
CREATE TABLE d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
CREATE TABLE microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
CREATE TABLE icustays (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, first_careunit CLOB, last_careunit CLOB, first_wardid NUMBER, last_wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
| among the patients of age 60 or above during this year, what were the top five most frequent laboratory tests? | SELECT d_labitems.label FROM d_labitems WHERE d_labitems.itemid IN (SELECT t1.itemid FROM (SELECT labevents.itemid, DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS c1 FROM labevents WHERE labevents.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.age >= 60) AND DATETIME(labevents.charttime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-0 year') GROUP BY labevents.itemid) AS t1 WHERE t1.c1 <= 5) | WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."age" >= 60 GROUP BY "hadm_id"), "t1" AS (SELECT "labevents"."itemid", DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS "c1" FROM "labevents" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "labevents"."hadm_id" WHERE DATETIME("labevents"."charttime", 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-0 year') AND NOT "_u_0"."" IS NULL GROUP BY "labevents"."itemid"), "_u_1" AS (SELECT "t1"."itemid" FROM "t1" "t1" WHERE "t1"."c1" <= 5 GROUP BY "itemid") SELECT "d_labitems"."label" FROM "d_labitems" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "d_labitems"."itemid" WHERE NOT "_u_1"."" IS NULL | 0.658203 |
CREATE TABLE table_59169 ("Place" CLOB, "Player" CLOB, "Country" CLOB, "Score" CLOB, "To par" CLOB)
| What is the To Par that has a 69-69-73=211 score? | SELECT "To par" FROM table_59169 WHERE "Score" = '69-69-73=211' | SELECT "To par" FROM "table_59169" WHERE "Score" = '69-69-73=211' | 0.063477 |
CREATE TABLE table_71121 ("Year" FLOAT, "Entrant" CLOB, "Chassis" CLOB, "Engine" CLOB, "Tyres" CLOB, "Points" FLOAT)
| What chassis did Jolly Club Spa used after 1985? | SELECT "Chassis" FROM table_71121 WHERE "Year" > '1985' AND "Entrant" = 'jolly club spa' | SELECT "Chassis" FROM "table_71121" WHERE "Entrant" = 'jolly club spa' AND "Year" > '1985' | 0.087891 |
CREATE TABLE table_21529 ("Game" FLOAT, "Date" CLOB, "Team" CLOB, "Score" CLOB, "High points" CLOB, "High rebounds" CLOB, "High assists" CLOB, "Location Attendance" CLOB, "Record" CLOB)
| On what date did the Team Minnesota play? | SELECT "Date" FROM table_21529 WHERE "Team" = 'Minnesota' | SELECT "Date" FROM "table_21529" WHERE "Team" = 'Minnesota' | 0.057617 |
CREATE TABLE table_48858 ("Place" CLOB, "Player" CLOB, "Country" CLOB, "Score" CLOB, "To par" CLOB)
| What is Place, when Player is 'Arnold Palmer'? | SELECT "Place" FROM table_48858 WHERE "Player" = 'arnold palmer' | SELECT "Place" FROM "table_48858" WHERE "Player" = 'arnold palmer' | 0.064453 |
CREATE TABLE table_27734286_1 (high_rebounds VARCHAR2, location_attendance VARCHAR2)
| Who in the high rebounds is in the honda center 15,625 location attendance? | SELECT high_rebounds FROM table_27734286_1 WHERE location_attendance = "Honda Center 15,625" | SELECT "high_rebounds" FROM "table_27734286_1" WHERE "Honda Center 15,625" = "location_attendance" | 0.095703 |
CREATE TABLE table_15988037_24 (place VARCHAR2, perfect_40s VARCHAR2, average VARCHAR2)
| What are all the places where the number of perfect 40s is 0 and the average is 27.25? | SELECT place FROM table_15988037_24 WHERE perfect_40s = 0 AND average = "27.25" | SELECT "place" FROM "table_15988037_24" WHERE "27.25" = "average" AND "perfect_40s" = 0 | 0.084961 |
CREATE TABLE table_204_933 (id NUMBER, "year" NUMBER, "competition" CLOB, "date" CLOB, "location" CLOB, "opponent" CLOB, "score" CLOB, "result" CLOB, "bye" CLOB)
| who did the austria davis cup team play after they beat barcelona in the world group 1st round in 1990 ? | SELECT "opponent" FROM table_204_933 WHERE id = (SELECT id FROM table_204_933 WHERE "year" = 1990 AND "competition" = 'world group, 1st round') + 1 | SELECT "opponent" FROM "table_204_933" WHERE "id" = (SELECT "id" FROM "table_204_933" WHERE "competition" = 'world group, 1st round' AND "year" = 1990) + 1 | 0.151367 |
CREATE TABLE table_67382 ("7:00" CLOB, "7:30" CLOB, "8:00" CLOB, "8:30" CLOB, "9:00" CLOB, "10:00" CLOB)
| What 7:00 has 8:00 risk takers? | SELECT "7:00" FROM table_67382 WHERE "8:00" = 'risk takers' | SELECT "7:00" FROM "table_67382" WHERE "8:00" = 'risk takers' | 0.05957 |
CREATE TABLE flight_stop (flight_id NUMBER, stop_number NUMBER, stop_days CLOB, stop_airport CLOB, arrival_time NUMBER, arrival_airline CLOB, arrival_flight_number NUMBER, departure_time NUMBER, departure_airline CLOB, departure_flight_number NUMBER, stop_time NUMBER)
CREATE TABLE aircraft (aircraft_code VARCHAR2, aircraft_description VARCHAR2, manufacturer VARCHAR2, basic_type VARCHAR2, engines NUMBER, propulsion VARCHAR2, wide_body VARCHAR2, wing_span NUMBER, length NUMBER, weight NUMBER, capacity NUMBER, pay_load NUMBER, cruising_speed NUMBER, range_miles NUMBER, pressurized VARCHAR2)
CREATE TABLE flight_fare (flight_id NUMBER, fare_id NUMBER)
CREATE TABLE fare (fare_id NUMBER, from_airport VARCHAR2, to_airport VARCHAR2, fare_basis_code CLOB, fare_airline CLOB, restriction_code CLOB, one_direction_cost NUMBER, round_trip_cost NUMBER, round_trip_required VARCHAR2)
CREATE TABLE days (days_code VARCHAR2, day_name VARCHAR2)
CREATE TABLE class_of_service (booking_class VARCHAR2, rank NUMBER, class_description CLOB)
CREATE TABLE date_day (month_number NUMBER, day_number NUMBER, year NUMBER, day_name VARCHAR2)
CREATE TABLE state (state_code CLOB, state_name CLOB, country_name CLOB)
CREATE TABLE flight_leg (flight_id NUMBER, leg_number NUMBER, leg_flight NUMBER)
CREATE TABLE time_interval (period CLOB, begin_time NUMBER, end_time NUMBER)
CREATE TABLE fare_basis (fare_basis_code CLOB, booking_class CLOB, class_type CLOB, premium CLOB, economy CLOB, discounted CLOB, night CLOB, season CLOB, basis_days CLOB)
CREATE TABLE airport_service (city_code VARCHAR2, airport_code VARCHAR2, miles_distant NUMBER, direction VARCHAR2, minutes_distant NUMBER)
CREATE TABLE time_zone (time_zone_code CLOB, time_zone_name CLOB, hours_from_gmt NUMBER)
CREATE TABLE airport (airport_code VARCHAR2, airport_name CLOB, airport_location CLOB, state_code VARCHAR2, country_name VARCHAR2, time_zone_code VARCHAR2, minimum_connect_time NUMBER)
CREATE TABLE flight (aircraft_code_sequence CLOB, airline_code VARCHAR2, airline_flight CLOB, arrival_time NUMBER, connections NUMBER, departure_time NUMBER, dual_carrier CLOB, flight_days CLOB, flight_id NUMBER, flight_number NUMBER, from_airport VARCHAR2, meal_code CLOB, stops NUMBER, time_elapsed NUMBER, to_airport VARCHAR2)
CREATE TABLE equipment_sequence (aircraft_code_sequence VARCHAR2, aircraft_code VARCHAR2)
CREATE TABLE food_service (meal_code CLOB, meal_number NUMBER, compartment CLOB, meal_description VARCHAR2)
CREATE TABLE ground_service (city_code CLOB, airport_code CLOB, transport_type CLOB, ground_fare NUMBER)
CREATE TABLE restriction (restriction_code CLOB, advance_purchase NUMBER, stopovers CLOB, saturday_stay_required CLOB, minimum_stay NUMBER, maximum_stay NUMBER, application CLOB, no_discounts CLOB)
CREATE TABLE dual_carrier (main_airline VARCHAR2, low_flight_number NUMBER, high_flight_number NUMBER, dual_airline VARCHAR2, service_name CLOB)
CREATE TABLE compartment_class (compartment VARCHAR2, class_type VARCHAR2)
CREATE TABLE code_description (code VARCHAR2, description CLOB)
CREATE TABLE city (city_code VARCHAR2, city_name VARCHAR2, state_code VARCHAR2, country_name VARCHAR2, time_zone_code VARCHAR2)
CREATE TABLE month (month_number NUMBER, month_name CLOB)
CREATE TABLE airline (airline_code VARCHAR2, airline_name CLOB, note CLOB)
| i need flight information on saturday for a flight from PHILADELPHIA to DALLAS | SELECT DISTINCT flight.flight_id FROM airport_service AS AIRPORT_SERVICE_0, airport_service AS AIRPORT_SERVICE_1, city AS CITY_0, city AS CITY_1, date_day, days, flight WHERE (CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'DALLAS' AND date_day.day_number = 26 AND date_day.month_number = 7 AND date_day.year = 1991 AND days.day_name = date_day.day_name AND flight.flight_days = days.days_code AND flight.to_airport = AIRPORT_SERVICE_1.airport_code) AND CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'PHILADELPHIA' AND flight.from_airport = AIRPORT_SERVICE_0.airport_code | SELECT DISTINCT "flight"."flight_id" FROM "airport_service" "AIRPORT_SERVICE_0" JOIN "date_day" ON "date_day"."day_number" = 26 AND "date_day"."month_number" = 7 AND "date_day"."year" = 1991 JOIN "city" "CITY_0" ON "AIRPORT_SERVICE_0"."city_code" = "CITY_0"."city_code" AND "CITY_0"."city_name" = 'PHILADELPHIA' JOIN "days" ON "date_day"."day_name" = "days"."day_name" JOIN "flight" ON "AIRPORT_SERVICE_0"."airport_code" = "flight"."from_airport" AND "days"."days_code" = "flight"."flight_days" JOIN "airport_service" "AIRPORT_SERVICE_1" ON "AIRPORT_SERVICE_1"."airport_code" = "flight"."to_airport" JOIN "city" "CITY_1" ON "AIRPORT_SERVICE_1"."city_code" = "CITY_1"."city_code" AND "CITY_1"."city_name" = 'DALLAS' | 0.697266 |
CREATE TABLE vitalperiodic (vitalperiodicid NUMBER, patientunitstayid NUMBER, temperature NUMBER, sao2 NUMBER, heartrate NUMBER, respiration NUMBER, systemicsystolic NUMBER, systemicdiastolic NUMBER, systemicmean NUMBER, observationtime TIME)
CREATE TABLE patient (uniquepid CLOB, patienthealthsystemstayid NUMBER, patientunitstayid NUMBER, gender CLOB, age CLOB, ethnicity CLOB, hospitalid NUMBER, wardid NUMBER, admissionheight NUMBER, admissionweight NUMBER, dischargeweight NUMBER, hospitaladmittime TIME, hospitaladmitsource CLOB, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus CLOB)
CREATE TABLE intakeoutput (intakeoutputid NUMBER, patientunitstayid NUMBER, cellpath CLOB, celllabel CLOB, cellvaluenumeric NUMBER, intakeoutputtime TIME)
CREATE TABLE lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime TIME)
CREATE TABLE diagnosis (diagnosisid NUMBER, patientunitstayid NUMBER, diagnosisname CLOB, diagnosistime TIME, icd9code CLOB)
CREATE TABLE microlab (microlabid NUMBER, patientunitstayid NUMBER, culturesite CLOB, organism CLOB, culturetakentime TIME)
CREATE TABLE treatment (treatmentid NUMBER, patientunitstayid NUMBER, treatmentname CLOB, treatmenttime TIME)
CREATE TABLE allergy (allergyid NUMBER, patientunitstayid NUMBER, drugname CLOB, allergyname CLOB, allergytime TIME)
CREATE TABLE cost (costid NUMBER, uniquepid CLOB, patienthealthsystemstayid NUMBER, eventtype CLOB, eventid NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE medication (medicationid NUMBER, patientunitstayid NUMBER, drugname CLOB, dosage CLOB, routeadmin CLOB, drugstarttime TIME, drugstoptime TIME)
| how long did patient 027-214052's last stay stay in the hospital? | SELECT STRFTIME('%j', patient.hospitaldischargetime) - STRFTIME('%j', patient.hospitaladmittime) FROM patient WHERE patient.uniquepid = '027-214052' AND NOT patient.hospitaladmittime IS NULL ORDER BY patient.hospitaladmittime DESC LIMIT 1 | SELECT STRFTIME('%j', "patient"."hospitaldischargetime") - STRFTIME('%j', "patient"."hospitaladmittime") FROM "patient" WHERE "patient"."uniquepid" = '027-214052' AND NOT "patient"."hospitaladmittime" IS NULL ORDER BY "patient"."hospitaladmittime" DESC FETCH FIRST 1 ROWS ONLY | 0.269531 |
CREATE TABLE table_53900 ("Player" CLOB, "Dates of captaincy" CLOB, "Lost" FLOAT, "Tied" FLOAT, "No result" FLOAT, "% win [A ]" FLOAT)
| Which player has no 0 results and multiples ties? | SELECT "Player" FROM table_53900 WHERE "No result" = '0' AND "Tied" > '0' | SELECT "Player" FROM "table_53900" WHERE "No result" = '0' AND "Tied" > '0' | 0.073242 |
CREATE TABLE table_76462 ("Game" FLOAT, "Date" CLOB, "Opponent" CLOB, "Score" CLOB, "Location" CLOB, "Record" CLOB)
| Where was game 78 held? | SELECT "Location" FROM table_76462 WHERE "Game" = '78' | SELECT "Location" FROM "table_76462" WHERE "Game" = '78' | 0.054688 |
CREATE TABLE labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
CREATE TABLE outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
CREATE TABLE patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
CREATE TABLE inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
CREATE TABLE diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
CREATE TABLE d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE icustays (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, first_careunit CLOB, last_careunit CLOB, first_wardid NUMBER, last_wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE admissions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, admittime TIME, dischtime TIME, admission_type CLOB, admission_location CLOB, discharge_location CLOB, insurance CLOB, language CLOB, marital_status CLOB, ethnicity CLOB, age NUMBER)
CREATE TABLE microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
CREATE TABLE prescriptions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, startdate TIME, enddate TIME, drug CLOB, dose_val_rx CLOB, dose_unit_rx CLOB, route CLOB)
CREATE TABLE transfers (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, eventtype CLOB, careunit CLOB, wardid NUMBER, intime TIME, outtime TIME)
| count the number of patients who received a cont inv mec ven 96+ hrs procedure in the same month following a diagnosis of crnry athrscl natve vssl in the last year. | SELECT COUNT(DISTINCT t1.subject_id) FROM (SELECT admissions.subject_id, diagnoses_icd.charttime FROM diagnoses_icd JOIN admissions ON diagnoses_icd.hadm_id = admissions.hadm_id WHERE diagnoses_icd.icd9_code = (SELECT d_icd_diagnoses.icd9_code FROM d_icd_diagnoses WHERE d_icd_diagnoses.short_title = 'crnry athrscl natve vssl') AND DATETIME(diagnoses_icd.charttime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year')) AS t1 JOIN (SELECT admissions.subject_id, procedures_icd.charttime FROM procedures_icd JOIN admissions ON procedures_icd.hadm_id = admissions.hadm_id WHERE procedures_icd.icd9_code = (SELECT d_icd_procedures.icd9_code FROM d_icd_procedures WHERE d_icd_procedures.short_title = 'cont inv mec ven 96+ hrs') AND DATETIME(procedures_icd.charttime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year')) AS t2 ON t1.subject_id = t2.subject_id WHERE t1.charttime < t2.charttime AND DATETIME(t1.charttime, 'start of month') = DATETIME(t2.charttime, 'start of month') | WITH "t2" AS (SELECT "admissions"."subject_id", "procedures_icd"."charttime" FROM "procedures_icd" JOIN "d_icd_procedures" ON "d_icd_procedures"."icd9_code" = "procedures_icd"."icd9_code" AND "d_icd_procedures"."short_title" = 'cont inv mec ven 96+ hrs' JOIN "admissions" ON "admissions"."hadm_id" = "procedures_icd"."hadm_id" WHERE DATETIME("procedures_icd"."charttime", 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year')) SELECT COUNT(DISTINCT "admissions"."subject_id") FROM "diagnoses_icd" JOIN "d_icd_diagnoses" ON "d_icd_diagnoses"."icd9_code" = "diagnoses_icd"."icd9_code" AND "d_icd_diagnoses"."short_title" = 'crnry athrscl natve vssl' JOIN "admissions" ON "admissions"."hadm_id" = "diagnoses_icd"."hadm_id" JOIN "t2" "t2" ON "admissions"."subject_id" = "t2"."subject_id" AND "diagnoses_icd"."charttime" < "t2"."charttime" AND DATETIME("diagnoses_icd"."charttime", 'start of month') = DATETIME("t2"."charttime", 'start of month') WHERE DATETIME("diagnoses_icd"."charttime", 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year') | 1.049805 |
CREATE TABLE Investors (investor_id NUMBER, Investor_details VARCHAR2)
CREATE TABLE Ref_Transaction_Types (transaction_type_code VARCHAR2, transaction_type_description VARCHAR2)
CREATE TABLE Transactions (transaction_id NUMBER, investor_id NUMBER, transaction_type_code VARCHAR2, date_of_transaction DATETIME, amount_of_transaction NUMBER, share_count VARCHAR2, other_details VARCHAR2)
CREATE TABLE Lots (lot_id NUMBER, investor_id NUMBER, lot_details VARCHAR2)
CREATE TABLE Sales (sales_transaction_id NUMBER, sales_details VARCHAR2)
CREATE TABLE Purchases (purchase_transaction_id NUMBER, purchase_details VARCHAR2)
CREATE TABLE Transactions_Lots (transaction_id NUMBER, lot_id NUMBER)
| Plot how many date of transaction over date of transaction in a line chart, I want to order X from low to high order please. | SELECT date_of_transaction, COUNT(date_of_transaction) FROM Transactions ORDER BY date_of_transaction | SELECT "date_of_transaction", COUNT("date_of_transaction") FROM "Transactions" ORDER BY "date_of_transaction" | 0.106445 |
CREATE TABLE table_55506 ("PRR Class" CLOB, "Builderpars_m_singles Model" CLOB, "Build date" CLOB, "Total produced" FLOAT, "Wheel arrangement" CLOB, "Service" CLOB, "Power output" CLOB)
| What is the PRR class of the freight train built in 1967 with a b-b wheel arrangement? | SELECT "PRR Class" FROM table_55506 WHERE "Wheel arrangement" = 'b-b' AND "Service" = 'freight' AND "Build date" = '1967' | SELECT "PRR Class" FROM "table_55506" WHERE "Build date" = '1967' AND "Service" = 'freight' AND "Wheel arrangement" = 'b-b' | 0.120117 |
CREATE TABLE table_14538 ("Race" CLOB, "Position" CLOB, "Time" CLOB, "Speed" CLOB, "Replica" CLOB)
| Which race ended with a time of 01:46:59.69? | SELECT "Race" FROM table_14538 WHERE "Time" = '01:46:59.69' | SELECT "Race" FROM "table_14538" WHERE "Time" = '01:46:59.69' | 0.05957 |
CREATE TABLE table_name_27 (pick NUMBER, nationality VARCHAR2, draft VARCHAR2)
| What is the highest Pick, when Nationality is 'France', and when Draft is less than 1979? | SELECT MAX(pick) FROM table_name_27 WHERE nationality = "france" AND draft < 1979 | SELECT MAX("pick") FROM "table_name_27" WHERE "draft" < 1979 AND "france" = "nationality" | 0.086914 |
CREATE TABLE table_2646656_3 (incumbent VARCHAR2, district VARCHAR2)
| Who was the incumbent in the Ohio 5 district? | SELECT incumbent FROM table_2646656_3 WHERE district = "Ohio 5" | SELECT "incumbent" FROM "table_2646656_3" WHERE "Ohio 5" = "district" | 0.067383 |
CREATE TABLE table_10920 ("Player" CLOB, "Height" CLOB, "School" CLOB, "Hometown" CLOB, "College" CLOB, "NBA Draft" CLOB)
| What school did delray brooks go to? | SELECT "School" FROM table_10920 WHERE "Player" = 'delray brooks' | SELECT "School" FROM "table_10920" WHERE "Player" = 'delray brooks' | 0.06543 |
CREATE TABLE table_62379 ("Pick #" FLOAT, "Player" CLOB, "Nationality" CLOB, "Position" CLOB, "NHL team" CLOB, "Team from" CLOB, "League from" CLOB)
| Which NHL team has a League from of western hockey league and a Pick # smaller than 23 and a Team from of prince george cougars? | SELECT "NHL team" FROM table_62379 WHERE "League from" = 'western hockey league' AND "Pick #" < '23' AND "Team from" = 'prince george cougars' | SELECT "NHL team" FROM "table_62379" WHERE "League from" = 'western hockey league' AND "Pick #" < '23' AND "Team from" = 'prince george cougars' | 0.140625 |
CREATE TABLE table_32399 ("Week" FLOAT, "Date" CLOB, "Opponent" CLOB, "Result" CLOB, "Attendance" CLOB)
| What day did the team play week 13? | SELECT "Date" FROM table_32399 WHERE "Week" = '13' | SELECT "Date" FROM "table_32399" WHERE "Week" = '13' | 0.050781 |
CREATE TABLE paperkeyphrase (paperid NUMBER, keyphraseid NUMBER)
CREATE TABLE cite (citingpaperid NUMBER, citedpaperid NUMBER)
CREATE TABLE paper (paperid NUMBER, title VARCHAR2, venueid NUMBER, year NUMBER, numciting NUMBER, numcitedby NUMBER, journalid NUMBER)
CREATE TABLE writes (paperid NUMBER, authorid NUMBER)
CREATE TABLE field (fieldid NUMBER)
CREATE TABLE author (authorid NUMBER, authorname VARCHAR2)
CREATE TABLE keyphrase (keyphraseid NUMBER, keyphrasename VARCHAR2)
CREATE TABLE venue (venueid NUMBER, venuename VARCHAR2)
CREATE TABLE journal (journalid NUMBER, journalname VARCHAR2)
CREATE TABLE dataset (datasetid NUMBER, datasetname VARCHAR2)
CREATE TABLE paperdataset (paperid NUMBER, datasetid NUMBER)
CREATE TABLE paperfield (fieldid NUMBER, paperid NUMBER)
| papers for counting crowd | SELECT DISTINCT paper.paperid FROM keyphrase, paper, paperkeyphrase WHERE keyphrase.keyphrasename = 'counting crowd' AND paperkeyphrase.keyphraseid = keyphrase.keyphraseid AND paper.paperid = paperkeyphrase.paperid | SELECT DISTINCT "paper"."paperid" FROM "keyphrase" JOIN "paperkeyphrase" ON "keyphrase"."keyphraseid" = "paperkeyphrase"."keyphraseid" JOIN "paper" ON "paper"."paperid" = "paperkeyphrase"."paperid" WHERE "keyphrase"."keyphrasename" = 'counting crowd' | 0.244141 |
CREATE TABLE table_204_20 (id NUMBER, "represent" CLOB, "contestant" CLOB, "age" NUMBER, "height" CLOB, "hometown" CLOB)
| how many delegates are at most 20 years old ? | SELECT COUNT("contestant") FROM table_204_20 WHERE "age" <= 20 | SELECT COUNT("contestant") FROM "table_204_20" WHERE "age" <= 20 | 0.0625 |
CREATE TABLE table_67991 ("Year" CLOB, "Date Final" CLOB, "Venue" CLOB, "Prize Money" CLOB, "Champion" CLOB, "Runner-up" CLOB, "Score in final" CLOB, "Commercial name" CLOB)
| What champion has 1981 as the year? | SELECT "Champion" FROM table_67991 WHERE "Year" = '1981' | SELECT "Champion" FROM "table_67991" WHERE "Year" = '1981' | 0.056641 |
CREATE TABLE table_71024 ("Draw" FLOAT, "Artist" CLOB, "Song" CLOB, "Votes" FLOAT, "Place" FLOAT)
| What is the average place for a song with votes smaller than 8696, the song 'turn the tide', and a draw larger than 3? | SELECT AVG("Place") FROM table_71024 WHERE "Votes" < '8696' AND "Song" = 'turn the tide' AND "Draw" > '3' | SELECT AVG("Place") FROM "table_71024" WHERE "Draw" > '3' AND "Song" = 'turn the tide' AND "Votes" < '8696' | 0.104492 |
CREATE TABLE time_zone (time_zone_code CLOB, time_zone_name CLOB, hours_from_gmt NUMBER)
CREATE TABLE date_day (month_number NUMBER, day_number NUMBER, year NUMBER, day_name VARCHAR2)
CREATE TABLE state (state_code CLOB, state_name CLOB, country_name CLOB)
CREATE TABLE airport (airport_code VARCHAR2, airport_name CLOB, airport_location CLOB, state_code VARCHAR2, country_name VARCHAR2, time_zone_code VARCHAR2, minimum_connect_time NUMBER)
CREATE TABLE dual_carrier (main_airline VARCHAR2, low_flight_number NUMBER, high_flight_number NUMBER, dual_airline VARCHAR2, service_name CLOB)
CREATE TABLE code_description (code VARCHAR2, description CLOB)
CREATE TABLE flight_fare (flight_id NUMBER, fare_id NUMBER)
CREATE TABLE ground_service (city_code CLOB, airport_code CLOB, transport_type CLOB, ground_fare NUMBER)
CREATE TABLE equipment_sequence (aircraft_code_sequence VARCHAR2, aircraft_code VARCHAR2)
CREATE TABLE city (city_code VARCHAR2, city_name VARCHAR2, state_code VARCHAR2, country_name VARCHAR2, time_zone_code VARCHAR2)
CREATE TABLE class_of_service (booking_class VARCHAR2, rank NUMBER, class_description CLOB)
CREATE TABLE flight_stop (flight_id NUMBER, stop_number NUMBER, stop_days CLOB, stop_airport CLOB, arrival_time NUMBER, arrival_airline CLOB, arrival_flight_number NUMBER, departure_time NUMBER, departure_airline CLOB, departure_flight_number NUMBER, stop_time NUMBER)
CREATE TABLE food_service (meal_code CLOB, meal_number NUMBER, compartment CLOB, meal_description VARCHAR2)
CREATE TABLE compartment_class (compartment VARCHAR2, class_type VARCHAR2)
CREATE TABLE restriction (restriction_code CLOB, advance_purchase NUMBER, stopovers CLOB, saturday_stay_required CLOB, minimum_stay NUMBER, maximum_stay NUMBER, application CLOB, no_discounts CLOB)
CREATE TABLE fare_basis (fare_basis_code CLOB, booking_class CLOB, class_type CLOB, premium CLOB, economy CLOB, discounted CLOB, night CLOB, season CLOB, basis_days CLOB)
CREATE TABLE airline (airline_code VARCHAR2, airline_name CLOB, note CLOB)
CREATE TABLE airport_service (city_code VARCHAR2, airport_code VARCHAR2, miles_distant NUMBER, direction VARCHAR2, minutes_distant NUMBER)
CREATE TABLE time_interval (period CLOB, begin_time NUMBER, end_time NUMBER)
CREATE TABLE flight (aircraft_code_sequence CLOB, airline_code VARCHAR2, airline_flight CLOB, arrival_time NUMBER, connections NUMBER, departure_time NUMBER, dual_carrier CLOB, flight_days CLOB, flight_id NUMBER, flight_number NUMBER, from_airport VARCHAR2, meal_code CLOB, stops NUMBER, time_elapsed NUMBER, to_airport VARCHAR2)
CREATE TABLE flight_leg (flight_id NUMBER, leg_number NUMBER, leg_flight NUMBER)
CREATE TABLE aircraft (aircraft_code VARCHAR2, aircraft_description VARCHAR2, manufacturer VARCHAR2, basic_type VARCHAR2, engines NUMBER, propulsion VARCHAR2, wide_body VARCHAR2, wing_span NUMBER, length NUMBER, weight NUMBER, capacity NUMBER, pay_load NUMBER, cruising_speed NUMBER, range_miles NUMBER, pressurized VARCHAR2)
CREATE TABLE fare (fare_id NUMBER, from_airport VARCHAR2, to_airport VARCHAR2, fare_basis_code CLOB, fare_airline CLOB, restriction_code CLOB, one_direction_cost NUMBER, round_trip_cost NUMBER, round_trip_required VARCHAR2)
CREATE TABLE month (month_number NUMBER, month_name CLOB)
CREATE TABLE days (days_code VARCHAR2, day_name VARCHAR2)
| show me flights from SAN FRANCISCO to ATLANTA | SELECT DISTINCT flight.flight_id FROM airport_service AS AIRPORT_SERVICE_0, airport_service AS AIRPORT_SERVICE_1, city AS CITY_0, city AS CITY_1, flight WHERE CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'SAN FRANCISCO' AND CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'ATLANTA' AND flight.from_airport = AIRPORT_SERVICE_0.airport_code AND flight.to_airport = AIRPORT_SERVICE_1.airport_code | SELECT DISTINCT "flight"."flight_id" FROM "airport_service" "AIRPORT_SERVICE_0" JOIN "city" "CITY_0" ON "AIRPORT_SERVICE_0"."city_code" = "CITY_0"."city_code" AND "CITY_0"."city_name" = 'SAN FRANCISCO' JOIN "flight" ON "AIRPORT_SERVICE_0"."airport_code" = "flight"."from_airport" JOIN "airport_service" "AIRPORT_SERVICE_1" ON "AIRPORT_SERVICE_1"."airport_code" = "flight"."to_airport" JOIN "city" "CITY_1" ON "AIRPORT_SERVICE_1"."city_code" = "CITY_1"."city_code" AND "CITY_1"."city_name" = 'ATLANTA' | 0.488281 |
CREATE TABLE table_54314 ("Home team" CLOB, "Home team score" CLOB, "Away team" CLOB, "Away team score" CLOB, "Venue" CLOB, "Crowd" FLOAT, "Date" CLOB)
| In which of North Melbourne's away games was there the lowest crowd? | SELECT MIN("Crowd") FROM table_54314 WHERE "Away team" = 'north melbourne' | SELECT MIN("Crowd") FROM "table_54314" WHERE "Away team" = 'north melbourne' | 0.074219 |
CREATE TABLE table_13557843_3 (score VARCHAR2, record VARCHAR2)
| What was the score of the game when the team was 1-2? | SELECT score FROM table_13557843_3 WHERE record = "1-2" | SELECT "score" FROM "table_13557843_3" WHERE "1-2" = "record" | 0.05957 |
CREATE TABLE table_name_52 (home_team VARCHAR2)
| What is the home team score for St Kilda? | SELECT home_team AS score FROM table_name_52 WHERE home_team = "st kilda" | SELECT "home_team" AS "score" FROM "table_name_52" WHERE "home_team" = "st kilda" | 0.079102 |
CREATE TABLE d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
CREATE TABLE chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
CREATE TABLE d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
CREATE TABLE d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE icustays (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, first_careunit CLOB, last_careunit CLOB, first_wardid NUMBER, last_wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE transfers (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, eventtype CLOB, careunit CLOB, wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
CREATE TABLE labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE prescriptions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, startdate TIME, enddate TIME, drug CLOB, dose_val_rx CLOB, dose_unit_rx CLOB, route CLOB)
CREATE TABLE admissions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, admittime TIME, dischtime TIME, admission_type CLOB, admission_location CLOB, discharge_location CLOB, insurance CLOB, language CLOB, marital_status CLOB, ethnicity CLOB, age NUMBER)
CREATE TABLE cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
CREATE TABLE microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
CREATE TABLE procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
| when was patient 4401's heart rate last measured less than 90.0 since 12/25/2105? | SELECT chartevents.charttime 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 = 4401)) AND chartevents.itemid IN (SELECT d_items.itemid FROM d_items WHERE d_items.label = 'heart rate' AND d_items.linksto = 'chartevents') AND chartevents.valuenum < 90.0 AND STRFTIME('%y-%m-%d', chartevents.charttime) >= '2105-12-25' ORDER BY chartevents.charttime DESC LIMIT 1 | WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 4401 GROUP BY "hadm_id"), "_u_1" AS (SELECT "icustays"."icustay_id" FROM "icustays" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "icustays"."hadm_id" WHERE NOT "_u_0"."" IS NULL GROUP BY "icustay_id"), "_u_2" AS (SELECT "d_items"."itemid" FROM "d_items" WHERE "d_items"."label" = 'heart rate' AND "d_items"."linksto" = 'chartevents' GROUP BY "itemid") SELECT "chartevents"."charttime" FROM "chartevents" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "chartevents"."icustay_id" LEFT JOIN "_u_2" "_u_2" ON "_u_2"."" = "chartevents"."itemid" WHERE "chartevents"."valuenum" < 90.0 AND NOT "_u_1"."" IS NULL AND NOT "_u_2"."" IS NULL AND STRFTIME('%y-%m-%d', "chartevents"."charttime") >= '2105-12-25' ORDER BY "chartevents"."charttime" DESC FETCH FIRST 1 ROWS ONLY | 0.825195 |
CREATE TABLE table_name_83 (to_par NUMBER, player VARCHAR2, place VARCHAR2, score VARCHAR2)
| What is the highest to par of player len mattiace, who has a t7 place and a score of 73-74=147? | SELECT MAX(to_par) FROM table_name_83 WHERE place = "t7" AND score = 73 - 74 = 147 AND player = "len mattiace" | SELECT MAX("to_par") FROM "table_name_83" WHERE "len mattiace" = "player" AND "place" = "t7" AND "score" = FALSE | 0.109375 |
CREATE TABLE Orders (order_id NUMBER, customer_id NUMBER, date_order_placed DATETIME, order_details VARCHAR2)
CREATE TABLE Accounts (account_id NUMBER, customer_id NUMBER, date_account_opened DATETIME, account_name VARCHAR2, other_account_details VARCHAR2)
CREATE TABLE Invoices (invoice_number NUMBER, order_id NUMBER, invoice_date DATETIME)
CREATE TABLE Product_Categories (production_type_code VARCHAR2, product_type_description VARCHAR2, vat_rating NUMBER)
CREATE TABLE Order_Items (order_item_id NUMBER, order_id NUMBER, product_id NUMBER, product_quantity VARCHAR2, other_order_item_details VARCHAR2)
CREATE TABLE Invoice_Line_Items (order_item_id NUMBER, invoice_number NUMBER, product_id NUMBER, product_title VARCHAR2, product_quantity VARCHAR2, product_price NUMBER, derived_product_cost NUMBER, derived_vat_payable NUMBER, derived_total_cost NUMBER)
CREATE TABLE Customers (customer_id NUMBER, customer_first_name VARCHAR2, customer_middle_initial VARCHAR2, customer_last_name VARCHAR2, gender VARCHAR2, email_address VARCHAR2, login_name VARCHAR2, login_password VARCHAR2, phone_number VARCHAR2, town_city VARCHAR2, state_county_province VARCHAR2, country VARCHAR2)
CREATE TABLE Products (product_id NUMBER, parent_product_id NUMBER, production_type_code VARCHAR2, unit_price NUMBER, product_name VARCHAR2, product_color VARCHAR2, product_size VARCHAR2)
CREATE TABLE Financial_Transactions (transaction_id NUMBER, account_id NUMBER, invoice_number NUMBER, transaction_type VARCHAR2, transaction_date DATETIME, transaction_amount NUMBER, transaction_comment VARCHAR2, other_transaction_details VARCHAR2)
| What are total transaction amounts for each transaction type, and show transaction_type in asc order. | SELECT transaction_type, SUM(transaction_amount) FROM Financial_Transactions GROUP BY transaction_type ORDER BY transaction_type | SELECT "transaction_type", SUM("transaction_amount") FROM "Financial_Transactions" GROUP BY "transaction_type" ORDER BY "transaction_type" | 0.134766 |
CREATE TABLE table_38034 ("Date" CLOB, "Label" CLOB, "Region" CLOB, "Format" CLOB, "Catalog" FLOAT)
| Which Catalog has a Format of 7' single (second cover)? | SELECT "Catalog" FROM table_38034 WHERE "Format" = '7" single (second cover)' | SELECT "Catalog" FROM "table_38034" WHERE "Format" = '7" single (second cover)' | 0.077148 |
CREATE TABLE treatment (treatmentid NUMBER, patientunitstayid NUMBER, treatmentname CLOB, treatmenttime TIME)
CREATE TABLE vitalperiodic (vitalperiodicid NUMBER, patientunitstayid NUMBER, temperature NUMBER, sao2 NUMBER, heartrate NUMBER, respiration NUMBER, systemicsystolic NUMBER, systemicdiastolic NUMBER, systemicmean NUMBER, observationtime TIME)
CREATE TABLE cost (costid NUMBER, uniquepid CLOB, patienthealthsystemstayid NUMBER, eventtype CLOB, eventid NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE medication (medicationid NUMBER, patientunitstayid NUMBER, drugname CLOB, dosage CLOB, routeadmin CLOB, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE diagnosis (diagnosisid NUMBER, patientunitstayid NUMBER, diagnosisname CLOB, diagnosistime TIME, icd9code CLOB)
CREATE TABLE allergy (allergyid NUMBER, patientunitstayid NUMBER, drugname CLOB, allergyname CLOB, allergytime TIME)
CREATE TABLE lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime TIME)
CREATE TABLE microlab (microlabid NUMBER, patientunitstayid NUMBER, culturesite CLOB, organism CLOB, culturetakentime TIME)
CREATE TABLE intakeoutput (intakeoutputid NUMBER, patientunitstayid NUMBER, cellpath CLOB, celllabel CLOB, cellvaluenumeric NUMBER, intakeoutputtime TIME)
CREATE TABLE patient (uniquepid CLOB, patienthealthsystemstayid NUMBER, patientunitstayid NUMBER, gender CLOB, age CLOB, ethnicity CLOB, hospitalid NUMBER, wardid NUMBER, admissionheight NUMBER, admissionweight NUMBER, dischargeweight NUMBER, hospitaladmittime TIME, hospitaladmitsource CLOB, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus CLOB)
| calculate how many times patient 027-151154 had a enteral meds/ flush intake during this month. | SELECT COUNT(*) FROM intakeoutput WHERE intakeoutput.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '027-151154')) AND intakeoutput.cellpath LIKE '%intake%' AND intakeoutput.celllabel = 'enteral meds/ flush' AND DATETIME(intakeoutput.intakeoutputtime, 'start of month') = DATETIME(CURRENT_TIME(), 'start of month', '-0 month') | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '027-151154' GROUP BY "patienthealthsystemstayid"), "_u_1" AS (SELECT "patient"."patientunitstayid" FROM "patient" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "patient"."patienthealthsystemstayid" WHERE NOT "_u_0"."" IS NULL GROUP BY "patientunitstayid") SELECT COUNT(*) FROM "intakeoutput" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "intakeoutput"."patientunitstayid" WHERE "intakeoutput"."celllabel" = 'enteral meds/ flush' AND "intakeoutput"."cellpath" LIKE '%intake%' AND DATETIME("intakeoutput"."intakeoutputtime", 'start of month') = DATETIME(CURRENT_TIME(), 'start of month', '-0 month') AND NOT "_u_1"."" IS NULL | 0.700195 |
CREATE TABLE table_74033 ("No. in series" FLOAT, "No. in season" FLOAT, "Title" CLOB, "Directed by" CLOB, "Written by" CLOB, "Original air date" CLOB, "Production code" CLOB, "U.S. viewers ( millions ) " CLOB)
| Who was the writer of the episode with a production code of 5aky04? | SELECT "Written by" FROM table_74033 WHERE "Production code" = '5AKY04' | SELECT "Written by" FROM "table_74033" WHERE "Production code" = '5AKY04' | 0.071289 |
CREATE TABLE table_5253 ("Name" CLOB, "Nationality" CLOB, "Position" CLOB, "Tenure Began" FLOAT, "Term Ending" FLOAT)
| Name of xue hanqin has what highest term ending? | SELECT MAX("Term Ending") FROM table_5253 WHERE "Name" = 'xue hanqin' | SELECT MAX("Term Ending") FROM "table_5253" WHERE "Name" = 'xue hanqin' | 0.069336 |
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
| what is the minimum age of patients whose language is russian and primary disease is st elevated myocardial infarction\cardiac cath? | SELECT MIN(demographic.age) FROM demographic WHERE demographic.language = "RUSS" AND demographic.diagnosis = "ST ELEVATED MYOCARDIAL INFARCTION\CARDIAC CATH" | SELECT MIN("demographic"."age") FROM "demographic" WHERE "RUSS" = "demographic"."language" AND "ST ELEVATED MYOCARDIAL INFARCTION\CARDIAC CATH" = "demographic"."diagnosis" | 0.166992 |
CREATE TABLE table_203_70 (id NUMBER, "rank" NUMBER, "nation" CLOB, "gold" NUMBER, "silver" NUMBER, "bronze" NUMBER, "total" NUMBER)
| who placed in first according to medals ? | SELECT "nation" FROM table_203_70 ORDER BY "total" DESC LIMIT 1 | SELECT "nation" FROM "table_203_70" ORDER BY "total" DESC FETCH FIRST 1 ROWS ONLY | 0.079102 |
CREATE TABLE table_46656 ("Player" CLOB, "Country" CLOB, "Year ( s ) won" CLOB, "Total" CLOB, "To par" CLOB)
| What is Player, when Country is 'United States', and when To Par is 'WD'? | SELECT "Player" FROM table_46656 WHERE "Country" = 'united states' AND "To par" = 'wd' | SELECT "Player" FROM "table_46656" WHERE "Country" = 'united states' AND "To par" = 'wd' | 0.085938 |
CREATE TABLE table_name_5 (operates VARCHAR2, terminus VARCHAR2, name VARCHAR2)
| Where does the Bayou Blvd./12th Avenue route that has a terminus at the downtown transit center operate? | SELECT operates FROM table_name_5 WHERE terminus = "downtown transit center" AND name = "bayou blvd./12th avenue" | SELECT "operates" FROM "table_name_5" WHERE "bayou blvd./12th avenue" = "name" AND "downtown transit center" = "terminus" | 0.118164 |
CREATE TABLE table_4337 ("Rank" FLOAT, "Rider" CLOB, "Team" CLOB, "Speed" CLOB, "Time" CLOB)
| Which team has a rank of 6? | SELECT "Team" FROM table_4337 WHERE "Rank" = '6' | SELECT "Team" FROM "table_4337" WHERE "Rank" = '6' | 0.048828 |
CREATE TABLE table_55574 ("Home team" CLOB, "Home team score" CLOB, "Away team" CLOB, "Away team score" CLOB, "Venue" CLOB, "Crowd" FLOAT, "Date" CLOB)
| What venue is the home field of Richmond? | SELECT "Venue" FROM table_55574 WHERE "Home team" = 'richmond' | SELECT "Venue" FROM "table_55574" WHERE "Home team" = 'richmond' | 0.0625 |
CREATE TABLE table_name_79 (away_team VARCHAR2, home_team VARCHAR2)
| Who is the away side when north melbourne is the home side? | SELECT away_team FROM table_name_79 WHERE home_team = "north melbourne" | SELECT "away_team" FROM "table_name_79" WHERE "home_team" = "north melbourne" | 0.075195 |
CREATE TABLE table_name_39 (opponent VARCHAR2, date VARCHAR2)
| Tell me the opponent for november 24, 1996 | SELECT opponent FROM table_name_39 WHERE date = "november 24, 1996" | SELECT "opponent" FROM "table_name_39" WHERE "date" = "november 24, 1996" | 0.071289 |
CREATE TABLE Documents (Document_ID NUMBER, Document_Type_Code CHAR, Project_ID NUMBER, Document_Date DATETIME, Document_Name VARCHAR2, Document_Description VARCHAR2, Other_Details VARCHAR2)
CREATE TABLE Statements (Statement_ID NUMBER, Statement_Details VARCHAR2)
CREATE TABLE Documents_with_Expenses (Document_ID NUMBER, Budget_Type_Code CHAR, Document_Details VARCHAR2)
CREATE TABLE Accounts (Account_ID NUMBER, Statement_ID NUMBER, Account_Details VARCHAR2)
CREATE TABLE Ref_Budget_Codes (Budget_Type_Code CHAR, Budget_Type_Description VARCHAR2)
CREATE TABLE Ref_Document_Types (Document_Type_Code CHAR, Document_Type_Name VARCHAR2, Document_Type_Description VARCHAR2)
CREATE TABLE Projects (Project_ID NUMBER, Project_Details VARCHAR2)
| Show the number of documents for different budget type description in a bar chart, sort by the total number in descending please. | SELECT Budget_Type_Description, COUNT(Budget_Type_Description) FROM Documents_with_Expenses AS T1 JOIN Ref_Budget_Codes AS T2 ON T1.Budget_Type_Code = T2.Budget_Type_Code GROUP BY Budget_Type_Description ORDER BY COUNT(Budget_Type_Description) DESC | SELECT "Budget_Type_Description", COUNT("Budget_Type_Description") FROM "Documents_with_Expenses" "T1" JOIN "Ref_Budget_Codes" "T2" ON "T1"."Budget_Type_Code" = "T2"."Budget_Type_Code" GROUP BY "Budget_Type_Description" ORDER BY COUNT("Budget_Type_Description") DESC | 0.259766 |
CREATE TABLE table_name_41 (assembled VARCHAR2)
| Who is the 1st member of the parliament assembled on 5 April 1614? | SELECT 1 AS st_member FROM table_name_41 WHERE assembled = "5 april 1614" | SELECT 1 AS "st_member" FROM "table_name_41" WHERE "5 april 1614" = "assembled" | 0.077148 |
CREATE TABLE table_34894 ("Rank" FLOAT, "Name" CLOB, "Nationality" CLOB, "1st ( m ) " FLOAT, "2nd ( m ) " FLOAT, "Points" FLOAT, "Overall WC points ( Rank ) " CLOB)
| Which 2nd (m) has a 1st (m) of 120.5 and Points smaller than 249.9? | SELECT AVG("2nd (m)") FROM table_34894 WHERE "1st (m)" = '120.5' AND "Points" < '249.9' | SELECT AVG("2nd (m)") FROM "table_34894" WHERE "1st (m)" = '120.5' AND "Points" < '249.9' | 0.086914 |
CREATE TABLE swimmer (ID NUMBER, name CLOB, Nationality CLOB, meter_100 FLOAT, meter_200 CLOB, meter_300 CLOB, meter_400 CLOB, meter_500 CLOB, meter_600 CLOB, meter_700 CLOB, Time CLOB)
CREATE TABLE record (ID NUMBER, Result CLOB, Swimmer_ID NUMBER, Event_ID NUMBER)
CREATE TABLE event (ID NUMBER, Name CLOB, Stadium_ID NUMBER, Year CLOB)
CREATE TABLE stadium (ID NUMBER, name CLOB, Capacity NUMBER, City CLOB, Country CLOB, Opening_year NUMBER)
| Give me the comparison about meter_100 over the meter_700 . | SELECT meter_700, meter_100 FROM swimmer | SELECT "meter_700", "meter_100" FROM "swimmer" | 0.044922 |
CREATE TABLE vitalperiodic (vitalperiodicid NUMBER, patientunitstayid NUMBER, temperature NUMBER, sao2 NUMBER, heartrate NUMBER, respiration NUMBER, systemicsystolic NUMBER, systemicdiastolic NUMBER, systemicmean NUMBER, observationtime TIME)
CREATE TABLE patient (uniquepid CLOB, patienthealthsystemstayid NUMBER, patientunitstayid NUMBER, gender CLOB, age CLOB, ethnicity CLOB, hospitalid NUMBER, wardid NUMBER, admissionheight NUMBER, admissionweight NUMBER, dischargeweight NUMBER, hospitaladmittime TIME, hospitaladmitsource CLOB, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus CLOB)
CREATE TABLE intakeoutput (intakeoutputid NUMBER, patientunitstayid NUMBER, cellpath CLOB, celllabel CLOB, cellvaluenumeric NUMBER, intakeoutputtime TIME)
CREATE TABLE allergy (allergyid NUMBER, patientunitstayid NUMBER, drugname CLOB, allergyname CLOB, allergytime TIME)
CREATE TABLE cost (costid NUMBER, uniquepid CLOB, patienthealthsystemstayid NUMBER, eventtype CLOB, eventid NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE medication (medicationid NUMBER, patientunitstayid NUMBER, drugname CLOB, dosage CLOB, routeadmin CLOB, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime TIME)
CREATE TABLE diagnosis (diagnosisid NUMBER, patientunitstayid NUMBER, diagnosisname CLOB, diagnosistime TIME, icd9code CLOB)
CREATE TABLE treatment (treatmentid NUMBER, patientunitstayid NUMBER, treatmentname CLOB, treatmenttime TIME)
CREATE TABLE microlab (microlabid NUMBER, patientunitstayid NUMBER, culturesite CLOB, organism CLOB, culturetakentime TIME)
| until 2 years ago, what are the three most frequent diagnoses that patients were given within 2 months after receiving antidiarrhea agent? | SELECT t3.diagnosisname FROM (SELECT t2.diagnosisname, DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS c1 FROM (SELECT patient.uniquepid, treatment.treatmenttime FROM treatment JOIN patient ON treatment.patientunitstayid = patient.patientunitstayid WHERE treatment.treatmentname = 'antidiarrhea agent' AND DATETIME(treatment.treatmenttime) <= DATETIME(CURRENT_TIME(), '-2 year')) AS t1 JOIN (SELECT patient.uniquepid, diagnosis.diagnosisname, diagnosis.diagnosistime FROM diagnosis JOIN patient ON diagnosis.patientunitstayid = patient.patientunitstayid WHERE DATETIME(diagnosis.diagnosistime) <= DATETIME(CURRENT_TIME(), '-2 year')) AS t2 ON t1.uniquepid = t2.uniquepid WHERE t1.treatmenttime < t2.diagnosistime AND DATETIME(t2.diagnosistime) BETWEEN DATETIME(t1.treatmenttime) AND DATETIME(t1.treatmenttime, '+2 month') GROUP BY t2.diagnosisname) AS t3 WHERE t3.c1 <= 3 | WITH "t2" AS (SELECT "patient"."uniquepid", "diagnosis"."diagnosisname", "diagnosis"."diagnosistime" FROM "diagnosis" JOIN "patient" ON "diagnosis"."patientunitstayid" = "patient"."patientunitstayid" WHERE DATETIME("diagnosis"."diagnosistime") <= DATETIME(CURRENT_TIME(), '-2 year')), "t3" AS (SELECT "t2"."diagnosisname", DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS "c1" FROM "treatment" JOIN "patient" ON "patient"."patientunitstayid" = "treatment"."patientunitstayid" JOIN "t2" "t2" ON "patient"."uniquepid" = "t2"."uniquepid" AND "t2"."diagnosistime" > "treatment"."treatmenttime" AND DATETIME("t2"."diagnosistime") <= DATETIME("treatment"."treatmenttime", '+2 month') AND DATETIME("t2"."diagnosistime") >= DATETIME("treatment"."treatmenttime") WHERE "treatment"."treatmentname" = 'antidiarrhea agent' AND DATETIME("treatment"."treatmenttime") <= DATETIME(CURRENT_TIME(), '-2 year') GROUP BY "t2"."diagnosisname") SELECT "t3"."diagnosisname" FROM "t3" "t3" WHERE "t3"."c1" <= 3 | 0.959961 |
CREATE TABLE table_57127 ("Year" FLOAT, "Men's singles" CLOB, "Women's singles" CLOB, "Men's doubles" CLOB, "Women's doubles" CLOB, "Mixed doubles" CLOB)
| Which women's doubles had the accompanying Men's singles player Ville L ng? | SELECT "Women's doubles" FROM table_57127 WHERE "Men's singles" = 'ville lång' | SELECT "Women's doubles" FROM "table_57127" WHERE "Men's singles" = 'ville lång' | 0.078125 |
CREATE TABLE table_71707 ("Rider" CLOB, "Manufacturer" CLOB, "Laps" FLOAT, "Time/Retired" CLOB, "Grid" FLOAT)
| What rider is on an aprilia that went under 18 laps with a grid total of 17? | SELECT "Rider" FROM table_71707 WHERE "Manufacturer" = 'aprilia' AND "Laps" < '18' AND "Grid" = '17' | SELECT "Rider" FROM "table_71707" WHERE "Grid" = '17' AND "Laps" < '18' AND "Manufacturer" = 'aprilia' | 0.099609 |
CREATE TABLE table_13721 ("Name" CLOB, "Years" CLOB, "A-League" CLOB, "Finals" CLOB, "Total" CLOB, "Games per goal" FLOAT)
| What player had a finals score of 0 (10)? | SELECT "Name" FROM table_13721 WHERE "Finals" = '0 (10)' | SELECT "Name" FROM "table_13721" WHERE "Finals" = '0 (10)' | 0.056641 |
CREATE TABLE Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
CREATE TABLE PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
CREATE TABLE PostHistoryTypes (Id NUMBER, Name CLOB)
CREATE TABLE PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
CREATE TABLE VoteTypes (Id NUMBER, Name CLOB)
CREATE TABLE PostTags (PostId NUMBER, TagId NUMBER)
CREATE TABLE TagSynonyms (Id NUMBER, SourceTagName CLOB, TargetTagName CLOB, CreationDate TIME, OwnerUserId NUMBER, AutoRenameCount NUMBER, LastAutoRename TIME, Score NUMBER, ApprovedByUserId NUMBER, ApprovalDate TIME)
CREATE TABLE Comments (Id NUMBER, PostId NUMBER, Score NUMBER, Text CLOB, CreationDate TIME, UserDisplayName CLOB, UserId NUMBER, ContentLicense CLOB)
CREATE TABLE ReviewTaskResultTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Posts (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE PostHistory (Id NUMBER, PostHistoryTypeId NUMBER, PostId NUMBER, RevisionGUID other, CreationDate TIME, UserId NUMBER, UserDisplayName CLOB, Comment CLOB, Text CLOB, ContentLicense CLOB)
CREATE TABLE PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId NUMBER)
CREATE TABLE Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
CREATE TABLE PostTypes (Id NUMBER, Name CLOB)
CREATE TABLE PendingFlags (Id NUMBER, FlagTypeId NUMBER, PostId NUMBER, CreationDate TIME, CloseReasonTypeId NUMBER, CloseAsOffTopicReasonTypeId NUMBER, DuplicateOfQuestionId NUMBER, BelongsOnBaseHostAddress CLOB)
CREATE TABLE CloseAsOffTopicReasonTypes (Id NUMBER, IsUniversal BOOLEAN, InputTitle CLOB, MarkdownInputGuidance CLOB, MarkdownPostOwnerGuidance CLOB, MarkdownPrivilegedUserGuidance CLOB, MarkdownConcensusDescription CLOB, CreationDate TIME, CreationModeratorId NUMBER, ApprovalDate TIME, ApprovalModeratorId NUMBER, DeactivationDate TIME, DeactivationModeratorId NUMBER)
CREATE TABLE Users (Id NUMBER, Reputation NUMBER, CreationDate TIME, DisplayName CLOB, LastAccessDate TIME, WebsiteUrl CLOB, Location CLOB, AboutMe CLOB, Views NUMBER, UpVotes NUMBER, DownVotes NUMBER, ProfileImageUrl CLOB, EmailHash CLOB, AccountId NUMBER)
CREATE TABLE ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment CLOB)
CREATE TABLE CloseReasonTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId NUMBER)
CREATE TABLE ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
CREATE TABLE PostsWithDeleted (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE SuggestedEditVotes (Id NUMBER, SuggestedEditId NUMBER, UserId NUMBER, VoteTypeId NUMBER, CreationDate TIME, TargetUserId NUMBER, TargetRepChange NUMBER)
CREATE TABLE ReviewTaskStates (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE FlagTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId NUMBER)
CREATE TABLE Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount NUMBER)
CREATE TABLE ReviewTaskTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE SuggestedEdits (Id NUMBER, PostId NUMBER, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId NUMBER, Comment CLOB, Text CLOB, Title CLOB, Tags CLOB, RevisionGUID other)
| QUESTIONS - Top 1000 Join the Users table with the Posts table to get Display Name with Location. | SELECT Posts.Id, PostTypeId, AcceptedAnswerId, OwnerUserId, DisplayName, Location, ParentId FROM Posts JOIN Users ON Posts.OwnerUserId = Users.Id WHERE PostTypeId = 1 LIMIT 1000 | SELECT "Posts"."Id", "PostTypeId", "AcceptedAnswerId", "OwnerUserId", "DisplayName", "Location", "ParentId" FROM "Posts" JOIN "Users" ON "Posts"."OwnerUserId" = "Users"."Id" WHERE "PostTypeId" = 1 FETCH FIRST 1000 ROWS ONLY | 0.217773 |
CREATE TABLE table_name_75 (call_sign VARCHAR2, erp_w VARCHAR2)
| What is the Call sign for the ERP W 19? | SELECT call_sign FROM table_name_75 WHERE erp_w = 19 | SELECT "call_sign" FROM "table_name_75" WHERE "erp_w" = 19 | 0.056641 |
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
| how many patients with secondary neuroendocrine tumor of bone were treated with base drug? | 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.long_title = "Secondary neuroendocrine tumor of bone" AND prescriptions.drug_type = "BASE" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "Secondary neuroendocrine tumor of bone" = "diagnoses"."long_title" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" JOIN "prescriptions" ON "BASE" = "prescriptions"."drug_type" AND "demographic"."hadm_id" = "prescriptions"."hadm_id" | 0.317383 |
CREATE TABLE table_name_55 (driver VARCHAR2, grid VARCHAR2)
| Which driver had a grid number of 18? | SELECT driver FROM table_name_55 WHERE grid = "18" | SELECT "driver" FROM "table_name_55" WHERE "18" = "grid" | 0.054688 |
CREATE TABLE table_203_723 (id NUMBER, "year" NUMBER, "song" CLOB, "us hot 100" NUMBER, "us msr" NUMBER, "us a.c." NUMBER, "can" NUMBER, "uk singles" NUMBER, "album" CLOB)
| what year did firehouse release their last single ? | SELECT MAX("year") FROM table_203_723 | SELECT MAX("year") FROM "table_203_723" | 0.038086 |
CREATE TABLE table_name_46 (minister VARCHAR2, term_in_office VARCHAR2)
| Who was the Minister that served for 307 days? | SELECT minister FROM table_name_46 WHERE term_in_office = "307 days" | SELECT "minister" FROM "table_name_46" WHERE "307 days" = "term_in_office" | 0.072266 |
CREATE TABLE table_21537 ("Game" FLOAT, "Date" CLOB, "Team" CLOB, "Score" CLOB, "High points" CLOB, "High rebounds" CLOB, "High assists" CLOB, "Location Attendance" CLOB, "Record" CLOB)
| What is the total number of high points on January 21? | SELECT COUNT("High points") FROM table_21537 WHERE "Date" = 'January 21' | SELECT COUNT("High points") FROM "table_21537" WHERE "Date" = 'January 21' | 0.072266 |
CREATE TABLE table_name_98 (result VARCHAR2, category VARCHAR2)
| What is the result for the best orchestrations category? | SELECT result FROM table_name_98 WHERE category = "best orchestrations" | SELECT "result" FROM "table_name_98" WHERE "best orchestrations" = "category" | 0.075195 |
CREATE TABLE departments (DEPARTMENT_ID NUMBER, DEPARTMENT_NAME VARCHAR2, MANAGER_ID NUMBER, LOCATION_ID NUMBER)
CREATE TABLE jobs (JOB_ID VARCHAR2, JOB_TITLE VARCHAR2, MIN_SALARY NUMBER, MAX_SALARY NUMBER)
CREATE TABLE job_history (EMPLOYEE_ID NUMBER, START_DATE DATE, END_DATE DATE, JOB_ID VARCHAR2, DEPARTMENT_ID NUMBER)
CREATE TABLE countries (COUNTRY_ID VARCHAR2, COUNTRY_NAME VARCHAR2, REGION_ID NUMBER)
CREATE TABLE employees (EMPLOYEE_ID NUMBER, FIRST_NAME VARCHAR2, LAST_NAME VARCHAR2, EMAIL VARCHAR2, PHONE_NUMBER VARCHAR2, HIRE_DATE DATE, JOB_ID VARCHAR2, SALARY NUMBER, COMMISSION_PCT NUMBER, MANAGER_ID NUMBER, DEPARTMENT_ID NUMBER)
CREATE TABLE regions (REGION_ID NUMBER, REGION_NAME VARCHAR2)
CREATE TABLE locations (LOCATION_ID NUMBER, STREET_ADDRESS VARCHAR2, POSTAL_CODE VARCHAR2, CITY VARCHAR2, STATE_PROVINCE VARCHAR2, COUNTRY_ID VARCHAR2)
| For those employees who was hired before 2002-06-21, for employee_id, hire_date, visualize the trend, and I want to order X in asc order. | SELECT HIRE_DATE, EMPLOYEE_ID FROM employees WHERE HIRE_DATE < '2002-06-21' ORDER BY HIRE_DATE | SELECT "HIRE_DATE", "EMPLOYEE_ID" FROM "employees" WHERE "HIRE_DATE" < '2002-06-21' ORDER BY "HIRE_DATE" | 0.101563 |
CREATE TABLE table_name_40 (outgoing_manager VARCHAR2, replaced_by VARCHAR2)
| I want the outgoing manager for craig brewster | SELECT outgoing_manager FROM table_name_40 WHERE replaced_by = "craig brewster" | SELECT "outgoing_manager" FROM "table_name_40" WHERE "craig brewster" = "replaced_by" | 0.083008 |
CREATE TABLE table_11063 ("Name" CLOB, "Bodyweight" FLOAT, "Snatch" FLOAT, "Clean & jerk" FLOAT, "Total ( kg ) " FLOAT)
| Which name had a bodyweight bigger than 89.64, a total (kg) bigger than 310, a clean and jerk less than 207.5, and a snatch that is bigger than 165? | SELECT "Name" FROM table_11063 WHERE "Bodyweight" > '89.64' AND "Total (kg)" > '310' AND "Clean & jerk" < '207.5' AND "Snatch" > '165' | SELECT "Name" FROM "table_11063" WHERE "Bodyweight" > '89.64' AND "Clean & jerk" < '207.5' AND "Snatch" > '165' AND "Total (kg)" > '310' | 0.132813 |
CREATE TABLE volume (Volume_ID NUMBER, Volume_Issue CLOB, Issue_Date CLOB, Weeks_on_Top FLOAT, Song CLOB, Artist_ID NUMBER)
CREATE TABLE artist (Artist_ID NUMBER, Artist CLOB, Age NUMBER, Famous_Title CLOB, Famous_Release_date CLOB)
CREATE TABLE music_festival (ID NUMBER, Music_Festival CLOB, Date_of_ceremony CLOB, Category CLOB, Volume NUMBER, Result CLOB)
| Return the number of the categories of music festivals that have the result 'Awarded', and show by the names in asc. | SELECT Category, COUNT(Category) FROM music_festival WHERE Result = "Awarded" GROUP BY Category ORDER BY Category | SELECT "Category", COUNT("Category") FROM "music_festival" WHERE "Awarded" = "Result" GROUP BY "Category" ORDER BY "Category" | 0.12207 |
CREATE TABLE table_14003020_5 (team VARCHAR2, stadium VARCHAR2)
| what's the team with stadium being glebe park | SELECT team FROM table_14003020_5 WHERE stadium = "Glebe Park" | SELECT "team" FROM "table_14003020_5" WHERE "Glebe Park" = "stadium" | 0.066406 |
CREATE TABLE table_name_80 (c_span_2009 VARCHAR2, times_2008 VARCHAR2)
| what is c-span 2009 when times 2008** is 08? | SELECT c_span_2009 FROM table_name_80 WHERE times_2008 * * = "08" | SELECT "c_span_2009" FROM "table_name_80" WHERE "08" = "times_2008" * * | 0.069336 |
CREATE TABLE table_32891 ("Home team" CLOB, "Home team score" CLOB, "Away team" CLOB, "Away team score" CLOB, "Venue" CLOB, "Crowd" FLOAT, "Date" CLOB)
| What is the home side's score at western oval? | SELECT "Home team score" FROM table_32891 WHERE "Venue" = 'western oval' | SELECT "Home team score" FROM "table_32891" WHERE "Venue" = 'western oval' | 0.072266 |
CREATE TABLE table_38909 ("Date" CLOB, "Visitor" CLOB, "Score" CLOB, "Home" CLOB, "Record" CLOB)
| What is the Home on december 10? | SELECT "Home" FROM table_38909 WHERE "Date" = 'december 10' | SELECT "Home" FROM "table_38909" WHERE "Date" = 'december 10' | 0.05957 |
CREATE TABLE table_79685 ("Call sign" CLOB, "Frequency MHz" FLOAT, "City of license" CLOB, "ERP W" FLOAT, "Class" CLOB, "FCC info" CLOB)
| What is the total frequency mhz of the kgrj call sign, which has an erp w greater than 21,500? | SELECT COUNT("Frequency MHz") FROM table_79685 WHERE "Call sign" = 'kgrj' AND "ERP W" > '21,500' | SELECT COUNT("Frequency MHz") FROM "table_79685" WHERE "Call sign" = 'kgrj' AND "ERP W" > '21,500' | 0.095703 |
CREATE TABLE table_43294 ("Date" CLOB, "Time" CLOB, "Channel" CLOB, "Running Time" CLOB, "Notes" CLOB)
| Which channel was on 28 December 2008? | SELECT "Channel" FROM table_43294 WHERE "Date" = '28 december 2008' | SELECT "Channel" FROM "table_43294" WHERE "Date" = '28 december 2008' | 0.067383 |
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
| count the number of patients whose diagnoses short title is chr syst/diastl hrt fail and drug type is additive? | 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 = "Chr syst/diastl hrt fail" AND prescriptions.drug_type = "ADDITIVE" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "Chr syst/diastl hrt fail" = "diagnoses"."short_title" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" JOIN "prescriptions" ON "ADDITIVE" = "prescriptions"."drug_type" AND "demographic"."hadm_id" = "prescriptions"."hadm_id" | 0.308594 |
CREATE TABLE comment_instructor (instructor_id NUMBER, student_id NUMBER, score NUMBER, comment_text VARCHAR2)
CREATE TABLE course_prerequisite (pre_course_id NUMBER, course_id NUMBER)
CREATE TABLE jobs (job_id NUMBER, job_title VARCHAR2, description VARCHAR2, requirement VARCHAR2, city VARCHAR2, state VARCHAR2, country VARCHAR2, zip NUMBER)
CREATE TABLE student_record (student_id NUMBER, course_id NUMBER, semester NUMBER, grade VARCHAR2, how VARCHAR2, transfer_source VARCHAR2, earn_credit VARCHAR2, repeat_term VARCHAR2, test_id VARCHAR2)
CREATE TABLE course_tags_count (course_id NUMBER, clear_grading NUMBER, pop_quiz NUMBER, group_projects NUMBER, inspirational NUMBER, long_lectures NUMBER, extra_credit NUMBER, few_tests NUMBER, good_feedback NUMBER, tough_tests NUMBER, heavy_papers NUMBER, cares_for_students NUMBER, heavy_assignments NUMBER, respected NUMBER, participation NUMBER, heavy_reading NUMBER, tough_grader NUMBER, hilarious NUMBER, would_take_again NUMBER, good_lecture NUMBER, no_skip NUMBER)
CREATE TABLE course_offering (offering_id NUMBER, course_id NUMBER, semester NUMBER, section_number NUMBER, start_time TIME, end_time TIME, monday VARCHAR2, tuesday VARCHAR2, wednesday VARCHAR2, thursday VARCHAR2, friday VARCHAR2, saturday VARCHAR2, sunday VARCHAR2, has_final_project VARCHAR2, has_final_exam VARCHAR2, textbook VARCHAR2, class_address VARCHAR2, allow_audit VARCHAR2)
CREATE TABLE offering_instructor (offering_instructor_id NUMBER, offering_id NUMBER, instructor_id NUMBER)
CREATE TABLE gsi (course_offering_id NUMBER, student_id NUMBER)
CREATE TABLE program_course (program_id NUMBER, course_id NUMBER, workload NUMBER, category VARCHAR2)
CREATE TABLE instructor (instructor_id NUMBER, name VARCHAR2, uniqname VARCHAR2)
CREATE TABLE program (program_id NUMBER, name VARCHAR2, college VARCHAR2, introduction VARCHAR2)
CREATE TABLE requirement (requirement_id NUMBER, requirement VARCHAR2, college VARCHAR2)
CREATE TABLE program_requirement (program_id NUMBER, category VARCHAR2, min_credit NUMBER, additional_req VARCHAR2)
CREATE TABLE course (course_id NUMBER, name VARCHAR2, department VARCHAR2, number VARCHAR2, credits VARCHAR2, advisory_requirement VARCHAR2, enforced_requirement VARCHAR2, description VARCHAR2, num_semesters NUMBER, num_enrolled NUMBER, has_discussion VARCHAR2, has_lab VARCHAR2, has_projects VARCHAR2, has_exams VARCHAR2, num_reviews NUMBER, clarity_score NUMBER, easiness_score NUMBER, helpfulness_score NUMBER)
CREATE TABLE semester (semester_id NUMBER, semester VARCHAR2, year NUMBER)
CREATE TABLE student (student_id NUMBER, lastname VARCHAR2, firstname VARCHAR2, program_id NUMBER, declare_major VARCHAR2, total_credit NUMBER, total_gpa FLOAT, entered_as VARCHAR2, admit_term NUMBER, predicted_graduation_semester NUMBER, degree VARCHAR2, minor VARCHAR2, internship VARCHAR2)
CREATE TABLE ta (campus_job_id NUMBER, student_id NUMBER, location VARCHAR2)
CREATE TABLE area (course_id NUMBER, area VARCHAR2)
| What are the offerings of upper level electives for CS majors ? | SELECT DISTINCT course.department, course.name, course.number FROM course, program_course WHERE program_course.category LIKE '%ULCS%' AND program_course.course_id = course.course_id | SELECT DISTINCT "course"."department", "course"."name", "course"."number" FROM "course" JOIN "program_course" ON "course"."course_id" = "program_course"."course_id" AND "program_course"."category" LIKE '%ULCS%' | 0.205078 |
CREATE TABLE labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
CREATE TABLE microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
CREATE TABLE prescriptions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, startdate TIME, enddate TIME, drug CLOB, dose_val_rx CLOB, dose_unit_rx CLOB, route CLOB)
CREATE TABLE d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
CREATE TABLE transfers (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, eventtype CLOB, careunit CLOB, wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE admissions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, admittime TIME, dischtime TIME, admission_type CLOB, admission_location CLOB, discharge_location CLOB, insurance CLOB, language CLOB, marital_status CLOB, ethnicity CLOB, age NUMBER)
CREATE TABLE chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE icustays (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, first_careunit CLOB, last_careunit CLOB, first_wardid NUMBER, last_wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
CREATE TABLE diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
CREATE TABLE inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
| tell me the name of the specimen test that patient 73362 had first received since 124 months ago? | SELECT microbiologyevents.spec_type_desc FROM microbiologyevents WHERE microbiologyevents.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 73362) AND DATETIME(microbiologyevents.charttime) >= DATETIME(CURRENT_TIME(), '-124 month') ORDER BY microbiologyevents.charttime LIMIT 1 | WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 73362 GROUP BY "hadm_id") SELECT "microbiologyevents"."spec_type_desc" FROM "microbiologyevents" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "microbiologyevents"."hadm_id" WHERE DATETIME("microbiologyevents"."charttime") >= DATETIME(CURRENT_TIME(), '-124 month') AND NOT "_u_0"."" IS NULL ORDER BY "microbiologyevents"."charttime" FETCH FIRST 1 ROWS ONLY | 0.436523 |
CREATE TABLE table_13105 ("Player" CLOB, "Height" FLOAT, "Position" CLOB, "Year born ( Age ) " CLOB, "Current Club" CLOB)
| What is the Position of the Player with a Height of 2.11? | SELECT "Position" FROM table_13105 WHERE "Height" = '2.11' | SELECT "Position" FROM "table_13105" WHERE "Height" = '2.11' | 0.058594 |
CREATE TABLE table_72599 ("Tournament" CLOB, "Country" CLOB, "Location" CLOB, "Current Venue" CLOB, "Began" FLOAT, "Court surface" CLOB)
| Which tournaments current venue is the Madrid Arena? | SELECT "Tournament" FROM table_72599 WHERE "Current Venue" = 'Madrid Arena' | SELECT "Tournament" FROM "table_72599" WHERE "Current Venue" = 'Madrid Arena' | 0.075195 |
CREATE TABLE table_26258348_4 (winning_constructor VARCHAR2, fastest_lap VARCHAR2)
| How many winning constructor catagories are there when Mark Webber had the fastest lap? | SELECT COUNT(winning_constructor) FROM table_26258348_4 WHERE fastest_lap = "Mark Webber" | SELECT COUNT("winning_constructor") FROM "table_26258348_4" WHERE "Mark Webber" = "fastest_lap" | 0.092773 |
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
| what is subject name and primary disease of subject id 7578? | SELECT demographic.name, demographic.diagnosis FROM demographic WHERE demographic.subject_id = "7578" | SELECT "demographic"."name", "demographic"."diagnosis" FROM "demographic" WHERE "7578" = "demographic"."subject_id" | 0.112305 |
CREATE TABLE table_78543 ("Tujunga" CLOB, "La Crescenta- Montrose" CLOB, "Glendale" CLOB, "La Ca\\u00f1ada Flintridge" CLOB, "Pasadena" CLOB)
| What is the percentage of La Canada Flintridge when Tujunga is 7%? | SELECT "La Ca\u00f1ada Flintridge" FROM table_78543 WHERE "Tujunga" = '7%' | SELECT "La Ca\u00f1ada Flintridge" FROM "table_78543" WHERE "Tujunga" = '7%' | 0.074219 |
CREATE TABLE table_22915134_2 (ignition_timing VARCHAR2, graphical VARCHAR2)
| When 1-1-0-0-1-1-0-0- is the graphical how many ignition timings are there? | SELECT COUNT(ignition_timing) FROM table_22915134_2 WHERE graphical = "1-1-0-0-1-1-0-0-" | SELECT COUNT("ignition_timing") FROM "table_22915134_2" WHERE "1-1-0-0-1-1-0-0-" = "graphical" | 0.091797 |
CREATE TABLE table_name_56 (centerfold_model VARCHAR2, cover_model VARCHAR2)
| Who was the Centerfold Model when the Cover Model was Julie Lynn Cialini? | SELECT centerfold_model FROM table_name_56 WHERE cover_model = "julie lynn cialini" | SELECT "centerfold_model" FROM "table_name_56" WHERE "cover_model" = "julie lynn cialini" | 0.086914 |
CREATE TABLE table_45775 ("Rank" CLOB, "Figures" CLOB, "Player" CLOB, "Opponent" CLOB, "Venue" CLOB, "Season" CLOB)
| What is Player, when Figures is source: . last updated: 28 june 2007.? | SELECT "Player" FROM table_45775 WHERE "Figures" = 'source: . last updated: 28 june 2007.' | SELECT "Player" FROM "table_45775" WHERE "Figures" = 'source: . last updated: 28 june 2007.' | 0.089844 |
CREATE TABLE table_12470 ("Year" FLOAT, "Tournaments played" FLOAT, "Cuts made*" FLOAT, "Wins" FLOAT, "Top 10s" FLOAT, "Best finish" CLOB, "Earnings ( $ ) " CLOB, "Scoring average" FLOAT)
| What was the average scoring the the top 10s is 4? | SELECT AVG("Scoring average") FROM table_12470 WHERE "Top 10s" = '4' | SELECT AVG("Scoring average") FROM "table_12470" WHERE "Top 10s" = '4' | 0.068359 |
CREATE TABLE table_name_66 (bronze NUMBER, gold NUMBER)
| What largest bronze number has a gold number that is bigger than 1? | SELECT MAX(bronze) FROM table_name_66 WHERE gold > 1 | SELECT MAX("bronze") FROM "table_name_66" WHERE "gold" > 1 | 0.056641 |
CREATE TABLE inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
CREATE TABLE d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
CREATE TABLE d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
CREATE TABLE procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
CREATE TABLE cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
CREATE TABLE prescriptions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, startdate TIME, enddate TIME, drug CLOB, dose_val_rx CLOB, dose_unit_rx CLOB, route CLOB)
CREATE TABLE labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE icustays (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, first_careunit CLOB, last_careunit CLOB, first_wardid NUMBER, last_wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
CREATE TABLE admissions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, admittime TIME, dischtime TIME, admission_type CLOB, admission_location CLOB, discharge_location CLOB, insurance CLOB, language CLOB, marital_status CLOB, ethnicity CLOB, age NUMBER)
CREATE TABLE transfers (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, eventtype CLOB, careunit CLOB, wardid NUMBER, intime TIME, outtime TIME)
| when was patient 4368's last intake on 05/24/2105? | SELECT inputevents_cv.charttime FROM inputevents_cv WHERE inputevents_cv.icustay_id IN (SELECT icustays.icustay_id FROM icustays WHERE icustays.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 4368)) AND STRFTIME('%y-%m-%d', inputevents_cv.charttime) = '2105-05-24' ORDER BY inputevents_cv.charttime DESC LIMIT 1 | WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 4368 GROUP BY "hadm_id"), "_u_1" AS (SELECT "icustays"."icustay_id" FROM "icustays" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "icustays"."hadm_id" WHERE NOT "_u_0"."" IS NULL GROUP BY "icustay_id") SELECT "inputevents_cv"."charttime" FROM "inputevents_cv" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "inputevents_cv"."icustay_id" WHERE NOT "_u_1"."" IS NULL AND STRFTIME('%y-%m-%d', "inputevents_cv"."charttime") = '2105-05-24' ORDER BY "inputevents_cv"."charttime" DESC FETCH FIRST 1 ROWS ONLY | 0.570313 |
CREATE TABLE table_50009 ("Tie no" CLOB, "Home team" CLOB, "Score" CLOB, "Away team" CLOB, "Date" CLOB)
| What date was Leeds United the away team? | SELECT "Date" FROM table_50009 WHERE "Away team" = 'leeds united' | SELECT "Date" FROM "table_50009" WHERE "Away team" = 'leeds united' | 0.06543 |
CREATE TABLE table_26240046_1 (first_appearance VARCHAR2, season_4 VARCHAR2)
| What episode was the first appearance of the character who appears 7 times in season 4? | SELECT first_appearance FROM table_26240046_1 WHERE season_4 = 7 | SELECT "first_appearance" FROM "table_26240046_1" WHERE "season_4" = 7 | 0.068359 |
CREATE TABLE cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
CREATE TABLE admissions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, admittime TIME, dischtime TIME, admission_type CLOB, admission_location CLOB, discharge_location CLOB, insurance CLOB, language CLOB, marital_status CLOB, ethnicity CLOB, age NUMBER)
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
CREATE TABLE patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
CREATE TABLE prescriptions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, startdate TIME, enddate TIME, drug CLOB, dose_val_rx CLOB, dose_unit_rx CLOB, route CLOB)
CREATE TABLE diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
CREATE TABLE outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
CREATE TABLE inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
CREATE TABLE labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE icustays (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, first_careunit CLOB, last_careunit CLOB, first_wardid NUMBER, last_wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE transfers (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, eventtype CLOB, careunit CLOB, wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
| what was the total amount of br milk fs po that patient 13329 has been taking on the first intensive care unit visit? | SELECT SUM(inputevents_cv.amount) FROM inputevents_cv WHERE inputevents_cv.icustay_id IN (SELECT icustays.icustay_id FROM icustays WHERE icustays.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 13329) AND NOT icustays.outtime IS NULL ORDER BY icustays.intime LIMIT 1) AND inputevents_cv.itemid IN (SELECT d_items.itemid FROM d_items WHERE d_items.label = 'br milk fs po' AND d_items.linksto = 'inputevents_cv') | WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 13329 GROUP BY "hadm_id"), "_u_1" AS (SELECT "icustays"."icustay_id" FROM "icustays" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "icustays"."hadm_id" WHERE NOT "_u_0"."" IS NULL AND NOT "icustays"."outtime" IS NULL GROUP BY "icustay_id" ORDER BY "icustays"."intime" FETCH FIRST 1 ROWS ONLY), "_u_2" AS (SELECT "d_items"."itemid" FROM "d_items" WHERE "d_items"."label" = 'br milk fs po' AND "d_items"."linksto" = 'inputevents_cv' GROUP BY "itemid") SELECT SUM("inputevents_cv"."amount") FROM "inputevents_cv" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "inputevents_cv"."icustay_id" LEFT JOIN "_u_2" "_u_2" ON "_u_2"."" = "inputevents_cv"."itemid" WHERE NOT "_u_1"."" IS NULL AND NOT "_u_2"."" IS NULL | 0.769531 |
CREATE TABLE candidate (Candidate_ID NUMBER, People_ID NUMBER, Poll_Source CLOB, Date CLOB, Support_rate FLOAT, Consider_rate FLOAT, Oppose_rate FLOAT, Unsure_rate FLOAT)
CREATE TABLE people (People_ID NUMBER, Sex CLOB, Name CLOB, Date_of_Birth CLOB, Height FLOAT, Weight FLOAT)
| Find Name and Height , and visualize them by a bar chart, and could you order x-axis from high to low order please? | SELECT Name, Height FROM people ORDER BY Name DESC | SELECT "Name", "Height" FROM "people" ORDER BY "Name" DESC | 0.056641 |
CREATE TABLE writes (paperid NUMBER, authorid NUMBER)
CREATE TABLE journal (journalid NUMBER, journalname VARCHAR2)
CREATE TABLE keyphrase (keyphraseid NUMBER, keyphrasename VARCHAR2)
CREATE TABLE paper (paperid NUMBER, title VARCHAR2, venueid NUMBER, year NUMBER, numciting NUMBER, numcitedby NUMBER, journalid NUMBER)
CREATE TABLE cite (citingpaperid NUMBER, citedpaperid NUMBER)
CREATE TABLE paperkeyphrase (paperid NUMBER, keyphraseid NUMBER)
CREATE TABLE field (fieldid NUMBER)
CREATE TABLE author (authorid NUMBER, authorname VARCHAR2)
CREATE TABLE paperdataset (paperid NUMBER, datasetid NUMBER)
CREATE TABLE paperfield (fieldid NUMBER, paperid NUMBER)
CREATE TABLE venue (venueid NUMBER, venuename VARCHAR2)
CREATE TABLE dataset (datasetid NUMBER, datasetname VARCHAR2)
| keyphrases used by yejin choi | SELECT DISTINCT keyphrase.keyphraseid FROM author, keyphrase, paper, paperkeyphrase, writes WHERE author.authorname = 'yejin choi' AND paperkeyphrase.keyphraseid = keyphrase.keyphraseid AND paper.paperid = paperkeyphrase.paperid AND writes.authorid = author.authorid AND writes.paperid = paper.paperid | SELECT DISTINCT "keyphrase"."keyphraseid" FROM "author" JOIN "writes" ON "author"."authorid" = "writes"."authorid" JOIN "paper" ON "paper"."paperid" = "writes"."paperid" JOIN "paperkeyphrase" ON "paper"."paperid" = "paperkeyphrase"."paperid" JOIN "keyphrase" ON "keyphrase"."keyphraseid" = "paperkeyphrase"."keyphraseid" WHERE "author"."authorname" = 'yejin choi' | 0.354492 |
CREATE TABLE table_74880 ("District" CLOB, "Incumbent" CLOB, "Party" CLOB, "First elected" FLOAT, "Result" CLOB)
| What's the highest First Elected with a Result of Re-elected and DIstrict of California 5? | SELECT MAX("First elected") FROM table_74880 WHERE "Result" = 're-elected' AND "District" = 'california 5' | SELECT MAX("First elected") FROM "table_74880" WHERE "District" = 'california 5' AND "Result" = 're-elected' | 0.105469 |
CREATE TABLE company (headquarters VARCHAR2)
| List all headquarters and the number of companies in each headquarter. | SELECT headquarters, COUNT(*) FROM company GROUP BY headquarters | SELECT "headquarters", COUNT(*) FROM "company" GROUP BY "headquarters" | 0.068359 |
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
| what is the procedure done for Jerry Deberry? | SELECT procedures.long_title FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.name = "Jerry Deberry" | SELECT "procedures"."long_title" FROM "demographic" JOIN "procedures" ON "demographic"."hadm_id" = "procedures"."hadm_id" WHERE "Jerry Deberry" = "demographic"."name" | 0.162109 |
CREATE TABLE table_203_485 (id NUMBER, "year" CLOB, "show" CLOB, "role" CLOB, "notes" CLOB)
| which television show was gauri in for the longest amount of time ? | SELECT "show" FROM table_203_485 ORDER BY "year" - "year" DESC LIMIT 1 | SELECT "show" FROM "table_203_485" ORDER BY "year" - "year" DESC FETCH FIRST 1 ROWS ONLY | 0.085938 |
CREATE TABLE Flight (origin VARCHAR2, destination VARCHAR2)
| Show origins of all flights with destination Honolulu. | SELECT origin FROM Flight WHERE destination = "Honolulu" | SELECT "origin" FROM "Flight" WHERE "Honolulu" = "destination" | 0.060547 |
CREATE TABLE table_16275 ("No. in series" FLOAT, "No. in season" FLOAT, "Title" CLOB, "Directed by" CLOB, "Written by" CLOB, "Original air date" CLOB, "U.S. viewers ( millions ) " CLOB)
| How many viewers tuned into the show directed by Matt Earl Beesley? | SELECT "U.S. viewers (millions)" FROM table_16275 WHERE "Directed by" = 'Matt Earl Beesley' | SELECT "U.S. viewers (millions)" FROM "table_16275" WHERE "Directed by" = 'Matt Earl Beesley' | 0.09082 |
CREATE TABLE table_1342370_5 (candidates VARCHAR2, incumbent VARCHAR2)
| What candidates ran in the election that featured harry lane englebright? | SELECT candidates FROM table_1342370_5 WHERE incumbent = "Harry Lane Englebright" | SELECT "candidates" FROM "table_1342370_5" WHERE "Harry Lane Englebright" = "incumbent" | 0.084961 |
CREATE TABLE city (city_code VARCHAR2, city_name VARCHAR2, state_code VARCHAR2, country_name VARCHAR2, time_zone_code VARCHAR2)
CREATE TABLE food_service (meal_code CLOB, meal_number NUMBER, compartment CLOB, meal_description VARCHAR2)
CREATE TABLE flight_fare (flight_id NUMBER, fare_id NUMBER)
CREATE TABLE month (month_number NUMBER, month_name CLOB)
CREATE TABLE flight_leg (flight_id NUMBER, leg_number NUMBER, leg_flight NUMBER)
CREATE TABLE fare (fare_id NUMBER, from_airport VARCHAR2, to_airport VARCHAR2, fare_basis_code CLOB, fare_airline CLOB, restriction_code CLOB, one_direction_cost NUMBER, round_trip_cost NUMBER, round_trip_required VARCHAR2)
CREATE TABLE airline (airline_code VARCHAR2, airline_name CLOB, note CLOB)
CREATE TABLE airport (airport_code VARCHAR2, airport_name CLOB, airport_location CLOB, state_code VARCHAR2, country_name VARCHAR2, time_zone_code VARCHAR2, minimum_connect_time NUMBER)
CREATE TABLE restriction (restriction_code CLOB, advance_purchase NUMBER, stopovers CLOB, saturday_stay_required CLOB, minimum_stay NUMBER, maximum_stay NUMBER, application CLOB, no_discounts CLOB)
CREATE TABLE flight (aircraft_code_sequence CLOB, airline_code VARCHAR2, airline_flight CLOB, arrival_time NUMBER, connections NUMBER, departure_time NUMBER, dual_carrier CLOB, flight_days CLOB, flight_id NUMBER, flight_number NUMBER, from_airport VARCHAR2, meal_code CLOB, stops NUMBER, time_elapsed NUMBER, to_airport VARCHAR2)
CREATE TABLE date_day (month_number NUMBER, day_number NUMBER, year NUMBER, day_name VARCHAR2)
CREATE TABLE code_description (code VARCHAR2, description CLOB)
CREATE TABLE dual_carrier (main_airline VARCHAR2, low_flight_number NUMBER, high_flight_number NUMBER, dual_airline VARCHAR2, service_name CLOB)
CREATE TABLE equipment_sequence (aircraft_code_sequence VARCHAR2, aircraft_code VARCHAR2)
CREATE TABLE aircraft (aircraft_code VARCHAR2, aircraft_description VARCHAR2, manufacturer VARCHAR2, basic_type VARCHAR2, engines NUMBER, propulsion VARCHAR2, wide_body VARCHAR2, wing_span NUMBER, length NUMBER, weight NUMBER, capacity NUMBER, pay_load NUMBER, cruising_speed NUMBER, range_miles NUMBER, pressurized VARCHAR2)
CREATE TABLE days (days_code VARCHAR2, day_name VARCHAR2)
CREATE TABLE state (state_code CLOB, state_name CLOB, country_name CLOB)
CREATE TABLE time_zone (time_zone_code CLOB, time_zone_name CLOB, hours_from_gmt NUMBER)
CREATE TABLE airport_service (city_code VARCHAR2, airport_code VARCHAR2, miles_distant NUMBER, direction VARCHAR2, minutes_distant NUMBER)
CREATE TABLE fare_basis (fare_basis_code CLOB, booking_class CLOB, class_type CLOB, premium CLOB, economy CLOB, discounted CLOB, night CLOB, season CLOB, basis_days CLOB)
CREATE TABLE ground_service (city_code CLOB, airport_code CLOB, transport_type CLOB, ground_fare NUMBER)
CREATE TABLE flight_stop (flight_id NUMBER, stop_number NUMBER, stop_days CLOB, stop_airport CLOB, arrival_time NUMBER, arrival_airline CLOB, arrival_flight_number NUMBER, departure_time NUMBER, departure_airline CLOB, departure_flight_number NUMBER, stop_time NUMBER)
CREATE TABLE class_of_service (booking_class VARCHAR2, rank NUMBER, class_description CLOB)
CREATE TABLE compartment_class (compartment VARCHAR2, class_type VARCHAR2)
CREATE TABLE time_interval (period CLOB, begin_time NUMBER, end_time NUMBER)
| i want to see the cheapest flight from DENVER to PITTSBURGH | SELECT DISTINCT flight.flight_id FROM airport_service AS AIRPORT_SERVICE_0, airport_service AS AIRPORT_SERVICE_1, city AS CITY_0, city AS CITY_1, fare, flight, flight_fare WHERE (CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'DENVER' AND CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'PITTSBURGH' AND flight.from_airport = AIRPORT_SERVICE_0.airport_code AND flight.to_airport = AIRPORT_SERVICE_1.airport_code) AND fare.one_direction_cost = (SELECT MIN(FAREalias1.one_direction_cost) FROM airport_service AS AIRPORT_SERVICEalias2, airport_service AS AIRPORT_SERVICEalias3, city AS CITYalias2, city AS CITYalias3, fare AS FAREalias1, flight AS FLIGHTalias1, flight_fare AS FLIGHT_FAREalias1 WHERE CITYalias2.city_code = AIRPORT_SERVICEalias2.city_code AND CITYalias2.city_name = 'DENVER' AND CITYalias3.city_code = AIRPORT_SERVICEalias3.city_code AND CITYalias3.city_name = 'PITTSBURGH' AND FLIGHT_FAREalias1.fare_id = FAREalias1.fare_id AND FLIGHTalias1.flight_id = FLIGHT_FAREalias1.flight_id AND FLIGHTalias1.from_airport = AIRPORT_SERVICEalias2.airport_code AND FLIGHTalias1.to_airport = AIRPORT_SERVICEalias3.airport_code) AND flight_fare.fare_id = fare.fare_id AND flight.flight_id = flight_fare.flight_id | WITH "_u_0" AS (SELECT MIN("FAREalias1"."one_direction_cost") FROM "airport_service" "AIRPORT_SERVICEalias2" JOIN "city" "CITYalias2" ON "AIRPORT_SERVICEalias2"."city_code" = "CITYalias2"."city_code" AND "CITYalias2"."city_name" = 'DENVER' JOIN "flight" "FLIGHTalias1" ON "AIRPORT_SERVICEalias2"."airport_code" = "FLIGHTalias1"."from_airport" JOIN "airport_service" "AIRPORT_SERVICEalias3" ON "AIRPORT_SERVICEalias3"."airport_code" = "FLIGHTalias1"."to_airport" JOIN "flight_fare" "FLIGHT_FAREalias1" ON "FLIGHT_FAREalias1"."flight_id" = "FLIGHTalias1"."flight_id" JOIN "city" "CITYalias3" ON "AIRPORT_SERVICEalias3"."city_code" = "CITYalias3"."city_code" AND "CITYalias3"."city_name" = 'PITTSBURGH' JOIN "fare" "FAREalias1" ON "FAREalias1"."fare_id" = "FLIGHT_FAREalias1"."fare_id") SELECT DISTINCT "flight"."flight_id" FROM "airport_service" "AIRPORT_SERVICE_0" JOIN "city" "CITY_0" ON "AIRPORT_SERVICE_0"."city_code" = "CITY_0"."city_code" AND "CITY_0"."city_name" = 'DENVER' JOIN "flight" ON "AIRPORT_SERVICE_0"."airport_code" = "flight"."from_airport" JOIN "airport_service" "AIRPORT_SERVICE_1" ON "AIRPORT_SERVICE_1"."airport_code" = "flight"."to_airport" JOIN "flight_fare" ON "flight"."flight_id" = "flight_fare"."flight_id" JOIN "city" "CITY_1" ON "AIRPORT_SERVICE_1"."city_code" = "CITY_1"."city_code" AND "CITY_1"."city_name" = 'PITTSBURGH' JOIN "fare" ON "fare"."fare_id" = "flight_fare"."fare_id" JOIN "_u_0" "_u_0" ON "_u_0"."" = "fare"."one_direction_cost" | 1.436523 |
CREATE TABLE table_70727 ("Artist" CLOB, "Country of origin" CLOB, "Period active" CLOB, "Release-year of first charted record" FLOAT, "Genre" CLOB, "Claimed sales" CLOB)
| What is the Genre, when the Release-year of first charted record is 1968, and when the Country of origin is United States? | SELECT "Genre" FROM table_70727 WHERE "Release-year of first charted record" = '1968' AND "Country of origin" = 'united states' | SELECT "Genre" FROM "table_70727" WHERE "Country of origin" = 'united states' AND "Release-year of first charted record" = '1968' | 0.125977 |
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