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CREATE TABLE table_name_65 (avg VARCHAR2, yards VARCHAR2)
| Tell me the average for 1 yards | SELECT avg FROM table_name_65 WHERE yards = "1" | SELECT "avg" FROM "table_name_65" WHERE "1" = "yards" | 0.051758 |
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)
| what were the three specimen tests that were most frequently given to patients that were previously diagnosed with constrictiv pericarditis within the same hospital visit the last year? | SELECT t3.spec_type_desc FROM (SELECT t2.spec_type_desc, DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS c1 FROM (SELECT admissions.subject_id, diagnoses_icd.charttime, admissions.hadm_id 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 = 'constrictiv pericarditis') AND DATETIME(diagnoses_icd.charttime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year')) AS t1 JOIN (SELECT admissions.subject_id, microbiologyevents.spec_type_desc, microbiologyevents.charttime, admissions.hadm_id FROM microbiologyevents JOIN admissions ON microbiologyevents.hadm_id = admissions.hadm_id WHERE DATETIME(microbiologyevents.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 t1.hadm_id = t2.hadm_id GROUP BY t2.spec_type_desc) AS t3 WHERE t3.c1 <= 3 | WITH "t2" AS (SELECT "admissions"."subject_id", "microbiologyevents"."spec_type_desc", "microbiologyevents"."charttime", "admissions"."hadm_id" FROM "microbiologyevents" JOIN "admissions" ON "admissions"."hadm_id" = "microbiologyevents"."hadm_id" WHERE DATETIME("microbiologyevents"."charttime", 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year')), "t3" AS (SELECT "t2"."spec_type_desc", DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS "c1" FROM "diagnoses_icd" JOIN "d_icd_diagnoses" ON "d_icd_diagnoses"."icd9_code" = "diagnoses_icd"."icd9_code" AND "d_icd_diagnoses"."short_title" = 'constrictiv pericarditis' JOIN "admissions" ON "admissions"."hadm_id" = "diagnoses_icd"."hadm_id" JOIN "t2" "t2" ON "admissions"."hadm_id" = "t2"."hadm_id" AND "admissions"."subject_id" = "t2"."subject_id" AND "diagnoses_icd"."charttime" < "t2"."charttime" WHERE DATETIME("diagnoses_icd"."charttime", 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year') GROUP BY "t2"."spec_type_desc") SELECT "t3"."spec_type_desc" FROM "t3" "t3" WHERE "t3"."c1" <= 3 | 1.049805 |
CREATE TABLE entrepreneur (Entrepreneur_ID NUMBER, People_ID NUMBER, Company CLOB, Money_Requested FLOAT, Investor CLOB)
CREATE TABLE people (People_ID NUMBER, Name CLOB, Height FLOAT, Weight FLOAT, Date_of_Birth CLOB)
| A line chart for returning the number of the dates of birth for entrepreneurs who have either the investor Simon Woodroffe or Peter Jones, sort X in ascending order. | SELECT Date_of_Birth, COUNT(Date_of_Birth) FROM entrepreneur AS T1 JOIN people AS T2 ON T1.People_ID = T2.People_ID WHERE T1.Investor = "Simon Woodroffe" OR T1.Investor = "Peter Jones" ORDER BY Date_of_Birth | SELECT "Date_of_Birth", COUNT("Date_of_Birth") FROM "entrepreneur" "T1" JOIN "people" "T2" ON "T1"."People_ID" = "T2"."People_ID" WHERE "Peter Jones" = "T1"."Investor" OR "Simon Woodroffe" = "T1"."Investor" ORDER BY "Date_of_Birth" | 0.225586 |
CREATE TABLE diagnoses (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 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)
| How many white patients are on the drug neo*iv*gentamicin? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.ethnicity = "WHITE" AND prescriptions.drug = "NEO*IV*Gentamicin" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "prescriptions" ON "NEO*IV*Gentamicin" = "prescriptions"."drug" AND "demographic"."hadm_id" = "prescriptions"."hadm_id" WHERE "WHITE" = "demographic"."ethnicity" | 0.229492 |
CREATE TABLE table_49030 ("Season" FLOAT, "Level" CLOB, "Division" CLOB, "Administration" CLOB, "Position" CLOB)
| What is the most recent year with a finish in 2nd position? | SELECT MAX("Season") FROM table_49030 WHERE "Position" = '2nd' | SELECT MAX("Season") FROM "table_49030" WHERE "Position" = '2nd' | 0.0625 |
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 inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount 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 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 d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto 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 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 patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
CREATE TABLE cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
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_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 labevents (row_id NUMBER, subject_id NUMBER, hadm_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 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)
| had patient 13838's arterial bp [systolic] normal been until 596 days ago? | SELECT COUNT(*) > 0 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 = 13838)) AND chartevents.itemid IN (SELECT d_items.itemid FROM d_items WHERE d_items.label = 'arterial bp [systolic]' AND d_items.linksto = 'chartevents') AND chartevents.valuenum BETWEEN systolic_bp_lower AND systolic_bp_upper AND DATETIME(chartevents.charttime) <= DATETIME(CURRENT_TIME(), '-596 day') | WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 13838 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" = 'arterial bp [systolic]' AND "d_items"."linksto" = 'chartevents' GROUP BY "itemid") SELECT COUNT(*) > 0 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" <= "systolic_bp_upper" AND "chartevents"."valuenum" >= "systolic_bp_lower" AND DATETIME("chartevents"."charttime") <= DATETIME(CURRENT_TIME(), '-596 day') AND NOT "_u_1"."" IS NULL AND NOT "_u_2"."" IS NULL | 0.84082 |
CREATE TABLE table_204_604 (id NUMBER, "year" NUMBER, "date" CLOB, "driver" CLOB, "team" CLOB, "manufacturer" CLOB, "race distance\ laps" NUMBER, "race distance\ miles ( km ) " CLOB, "race time" CLOB, "average speed\ ( mph ) " NUMBER, "report" CLOB)
| how many total cars did chevrolet manufacture ? | SELECT COUNT(*) FROM table_204_604 WHERE "manufacturer" = 'chevrolet' | SELECT COUNT(*) FROM "table_204_604" WHERE "manufacturer" = 'chevrolet' | 0.069336 |
CREATE TABLE airline (airline_code VARCHAR2, airline_name CLOB, note CLOB)
CREATE TABLE dual_carrier (main_airline VARCHAR2, low_flight_number NUMBER, high_flight_number NUMBER, dual_airline VARCHAR2, service_name CLOB)
CREATE TABLE food_service (meal_code CLOB, meal_number NUMBER, compartment CLOB, meal_description VARCHAR2)
CREATE TABLE flight_leg (flight_id NUMBER, leg_number NUMBER, leg_flight NUMBER)
CREATE TABLE days (days_code VARCHAR2, day_name VARCHAR2)
CREATE TABLE time_interval (period CLOB, begin_time NUMBER, end_time NUMBER)
CREATE TABLE equipment_sequence (aircraft_code_sequence VARCHAR2, aircraft_code VARCHAR2)
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 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 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 compartment_class (compartment VARCHAR2, class_type VARCHAR2)
CREATE TABLE city (city_code VARCHAR2, city_name VARCHAR2, state_code VARCHAR2, country_name VARCHAR2, time_zone_code VARCHAR2)
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 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 class_of_service (booking_class VARCHAR2, rank NUMBER, class_description CLOB)
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_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 code_description (code VARCHAR2, description CLOB)
CREATE TABLE airport_service (city_code VARCHAR2, airport_code VARCHAR2, miles_distant NUMBER, direction VARCHAR2, minutes_distant NUMBER)
CREATE TABLE flight_fare (flight_id NUMBER, fare_id NUMBER)
CREATE TABLE state (state_code CLOB, state_name CLOB, country_name CLOB)
| please list all flights on UA out of DENVER before 1200 | SELECT DISTINCT flight.flight_id FROM airport_service, city, flight WHERE (city.city_code = airport_service.city_code AND city.city_name = 'DENVER' AND flight.departure_time < 1200 AND flight.from_airport = airport_service.airport_code) AND flight.airline_code = 'UA' | SELECT DISTINCT "flight"."flight_id" FROM "airport_service" JOIN "city" ON "airport_service"."city_code" = "city"."city_code" AND "city"."city_name" = 'DENVER' JOIN "flight" ON "airport_service"."airport_code" = "flight"."from_airport" AND "flight"."airline_code" = 'UA' AND "flight"."departure_time" < 1200 | 0.299805 |
CREATE TABLE reservations (code NUMBER, room CLOB, checkin CLOB, checkout CLOB, rate NUMBER, lastname CLOB, firstname CLOB, adults NUMBER, kids NUMBER)
CREATE TABLE rooms (roomid CLOB, roomname CLOB, beds NUMBER, bedtype CLOB, maxoccupancy NUMBER, baseprice NUMBER, decor CLOB)
| What is the name of the room that can accommodate the most people? | SELECT roomname FROM rooms ORDER BY maxoccupancy DESC LIMIT 1 | SELECT "roomname" FROM "rooms" ORDER BY "maxoccupancy" DESC FETCH FIRST 1 ROWS ONLY | 0.081055 |
CREATE TABLE allergy (allergyid NUMBER, patientunitstayid NUMBER, drugname CLOB, allergyname CLOB, allergytime 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 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 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 vitalperiodic (vitalperiodicid NUMBER, patientunitstayid NUMBER, temperature NUMBER, sao2 NUMBER, heartrate NUMBER, respiration NUMBER, systemicsystolic NUMBER, systemicdiastolic NUMBER, systemicmean NUMBER, observationtime TIME)
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 cost (costid NUMBER, uniquepid CLOB, patienthealthsystemstayid NUMBER, eventtype CLOB, eventid NUMBER, chargetime TIME, cost NUMBER)
| what did patient 012-37411 last have as output on the current icu visit? | SELECT intakeoutput.celllabel FROM intakeoutput WHERE intakeoutput.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '012-37411') AND patient.unitdischargetime IS NULL) AND intakeoutput.cellpath LIKE '%output%' ORDER BY intakeoutput.intakeoutputtime DESC LIMIT 1 | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '012-37411' GROUP BY "patienthealthsystemstayid"), "_u_1" AS (SELECT "patient"."patientunitstayid" FROM "patient" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "patient"."patienthealthsystemstayid" WHERE "patient"."unitdischargetime" IS NULL AND NOT "_u_0"."" IS NULL GROUP BY "patientunitstayid") SELECT "intakeoutput"."celllabel" FROM "intakeoutput" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "intakeoutput"."patientunitstayid" WHERE "intakeoutput"."cellpath" LIKE '%output%' AND NOT "_u_1"."" IS NULL ORDER BY "intakeoutput"."intakeoutputtime" DESC FETCH FIRST 1 ROWS ONLY | 0.654297 |
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 treatment (treatmentid NUMBER, patientunitstayid NUMBER, treatmentname CLOB, treatmenttime 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 allergy (allergyid NUMBER, patientunitstayid NUMBER, drugname CLOB, allergyname CLOB, allergytime TIME)
CREATE TABLE diagnosis (diagnosisid NUMBER, patientunitstayid NUMBER, diagnosisname CLOB, diagnosistime TIME, icd9code CLOB)
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 medication (medicationid NUMBER, patientunitstayid NUMBER, drugname CLOB, dosage CLOB, routeadmin CLOB, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE cost (costid NUMBER, uniquepid CLOB, patienthealthsystemstayid NUMBER, eventtype CLOB, eventid NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE intakeoutput (intakeoutputid NUMBER, patientunitstayid NUMBER, cellpath CLOB, celllabel CLOB, cellvaluenumeric NUMBER, intakeoutputtime TIME)
| when did patient 015-52724 first have a procedure in the current hospital visit? | SELECT treatment.treatmenttime FROM treatment WHERE treatment.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '015-52724' AND patient.hospitaldischargetime IS NULL)) ORDER BY treatment.treatmenttime LIMIT 1 | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."hospitaldischargetime" IS NULL AND "patient"."uniquepid" = '015-52724' 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 "treatment"."treatmenttime" FROM "treatment" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "treatment"."patientunitstayid" WHERE NOT "_u_1"."" IS NULL ORDER BY "treatment"."treatmenttime" FETCH FIRST 1 ROWS ONLY | 0.597656 |
CREATE TABLE table_37600 ("Rank" FLOAT, "Airport" CLOB, "Code ( IATA/ICAO ) " CLOB, "Total Cargo ( Metric Tonnes ) " FLOAT, "% Change" CLOB)
| What's the average total cargo in metric tonnes that has an 11.8% Change? | SELECT AVG("Total Cargo (Metric Tonnes)") FROM table_37600 WHERE "% Change" = '11.8%' | SELECT AVG("Total Cargo (Metric Tonnes)") FROM "table_37600" WHERE "% Change" = '11.8%' | 0.084961 |
CREATE TABLE table_26590 ("#" FLOAT, "Player" CLOB, "Country" CLOB, "Points" FLOAT, "Reset points" FLOAT, "Events" FLOAT)
| Name the player for 22 events | SELECT "Player" FROM table_26590 WHERE "Events" = '22' | SELECT "Player" FROM "table_26590" WHERE "Events" = '22' | 0.054688 |
CREATE TABLE Minor_in (StuID NUMBER, DNO NUMBER)
CREATE TABLE Enrolled_in (StuID NUMBER, CID VARCHAR2, Grade VARCHAR2)
CREATE TABLE Course (CID VARCHAR2, CName VARCHAR2, Credits NUMBER, Instructor NUMBER, Days VARCHAR2, Hours VARCHAR2, DNO NUMBER)
CREATE TABLE Faculty (FacID NUMBER, Lname VARCHAR2, Fname VARCHAR2, Rank VARCHAR2, Sex VARCHAR2, Phone NUMBER, Room VARCHAR2, Building VARCHAR2)
CREATE TABLE Student (StuID NUMBER, LName VARCHAR2, Fname VARCHAR2, Age NUMBER, Sex VARCHAR2, Major NUMBER, Advisor NUMBER, city_code VARCHAR2)
CREATE TABLE Member_of (FacID NUMBER, DNO NUMBER, Appt_Type VARCHAR2)
CREATE TABLE Department (DNO NUMBER, Division VARCHAR2, DName VARCHAR2, Room VARCHAR2, Building VARCHAR2, DPhone NUMBER)
CREATE TABLE Gradeconversion (lettergrade VARCHAR2, gradepoint FLOAT)
| Visualize a scatter chart about the correlation between Credits and DNO . | SELECT Credits, DNO FROM Course ORDER BY Credits | SELECT "Credits", "DNO" FROM "Course" ORDER BY "Credits" | 0.054688 |
CREATE TABLE table_31482 ("Country" CLOB, "Number of Troops" FLOAT, "% of Total Troops" CLOB, "Troops per one million population" CLOB, "Troops per $1 billion ( USD ) GDP" CLOB)
| Name the total number of troops per one million being 2.76 | SELECT COUNT("Troops per one million population") FROM table_31482 WHERE "Troops per $1 billion ( USD ) GDP" = '2.76' | SELECT COUNT("Troops per one million population") FROM "table_31482" WHERE "Troops per $1 billion ( USD ) GDP" = '2.76' | 0.116211 |
CREATE TABLE event (ID NUMBER, Name CLOB, Stadium_ID NUMBER, Year CLOB)
CREATE TABLE record (ID NUMBER, Result CLOB, Swimmer_ID NUMBER, Event_ID NUMBER)
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 stadium (ID NUMBER, name CLOB, Capacity NUMBER, City CLOB, Country CLOB, Opening_year NUMBER)
| Return a bar chart about the distribution of Nationality and the amount of Nationality , and group by attribute Nationality, list by the bars in desc. | SELECT Nationality, COUNT(Nationality) FROM swimmer GROUP BY Nationality ORDER BY Nationality DESC | SELECT "Nationality", COUNT("Nationality") FROM "swimmer" GROUP BY "Nationality" ORDER BY "Nationality" DESC | 0.105469 |
CREATE TABLE table_name_45 (series_ep VARCHAR2, netflix VARCHAR2)
| Which series episode has a netflix figure of s04e21? | SELECT series_ep FROM table_name_45 WHERE netflix = "s04e21" | SELECT "series_ep" FROM "table_name_45" WHERE "netflix" = "s04e21" | 0.064453 |
CREATE TABLE table_26721 ("Pitcher" CLOB, "Strikeouts" FLOAT, "Season" FLOAT, "Team" CLOB, "League" CLOB, "Overall Rank" FLOAT)
| Name the most season for old hoss radbourn | SELECT MAX("Season") FROM table_26721 WHERE "Pitcher" = 'Old Hoss Radbourn' | SELECT MAX("Season") FROM "table_26721" WHERE "Pitcher" = 'Old Hoss Radbourn' | 0.075195 |
CREATE TABLE Employees (role_code VARCHAR2)
| What is the role code with the largest number of employees? | SELECT role_code FROM Employees GROUP BY role_code ORDER BY COUNT(*) DESC LIMIT 1 | SELECT "role_code" FROM "Employees" GROUP BY "role_code" ORDER BY COUNT(*) DESC FETCH FIRST 1 ROWS ONLY | 0.100586 |
CREATE TABLE table_26240 ("Episode Title" CLOB, "Song ( s ) Title" CLOB, "Writer" CLOB, "Singer ( s ) " CLOB, "Album ( s ) " CLOB)
| What album was the song My Chariot on? | SELECT "Album(s)" FROM table_26240 WHERE "Song(s) Title" = 'My Chariot' | SELECT "Album(s)" FROM "table_26240" WHERE "Song(s) Title" = 'My Chariot' | 0.071289 |
CREATE TABLE university (School_ID NUMBER, School CLOB, Location CLOB, Founded FLOAT, Affiliation CLOB, Enrollment FLOAT, Nickname CLOB, Primary_conference CLOB)
CREATE TABLE basketball_match (Team_ID NUMBER, School_ID NUMBER, Team_Name CLOB, ACC_Regular_Season CLOB, ACC_Percent CLOB, ACC_Home CLOB, ACC_Road CLOB, All_Games CLOB, All_Games_Percent NUMBER, All_Home CLOB, All_Road CLOB, All_Neutral CLOB)
| A bar chart shows the distribution of All_Games and Team_ID , order by the bars from low to high please. | SELECT All_Games, Team_ID FROM basketball_match ORDER BY All_Games | SELECT "All_Games", "Team_ID" FROM "basketball_match" ORDER BY "All_Games" | 0.072266 |
CREATE TABLE table_36199 ("Coach" CLOB, "Years" CLOB, "Wins" FLOAT, "Losses" FLOAT, "Ties" FLOAT)
| What years did the person coach who had more than 1 tie, mess than 311 wins and 174 losses? | SELECT "Years" FROM table_36199 WHERE "Ties" > '1' AND "Wins" < '311' AND "Losses" = '174' | SELECT "Years" FROM "table_36199" WHERE "Losses" = '174' AND "Ties" > '1' AND "Wins" < '311' | 0.089844 |
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 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 lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
| what is age and procedure long title of subject id 2560? | SELECT demographic.age, procedures.long_title FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.subject_id = "2560" | SELECT "demographic"."age", "procedures"."long_title" FROM "demographic" JOIN "procedures" ON "demographic"."hadm_id" = "procedures"."hadm_id" WHERE "2560" = "demographic"."subject_id" | 0.179688 |
CREATE TABLE table_77577 ("Superlative" CLOB, "Actor" CLOB, "Record Set" CLOB, "Year" FLOAT, "Notes" CLOB)
| What is the earliest year for ordinary people to appear in the notes? | SELECT MIN("Year") FROM table_77577 WHERE "Notes" = 'ordinary people' | SELECT MIN("Year") FROM "table_77577" WHERE "Notes" = 'ordinary people' | 0.069336 |
CREATE TABLE table_33103 ("Position" FLOAT, "Club" CLOB, "Played" FLOAT, "Wins" FLOAT, "Draws" FLOAT, "Losses" FLOAT, "Goals for" FLOAT, "Goals against" FLOAT, "Points" FLOAT, "Goal Difference" FLOAT)
| What is the average amount of goals that have a goal difference or 8 and the losses are smaller than 12? | SELECT AVG("Goals for") FROM table_33103 WHERE "Goal Difference" = '8' AND "Losses" < '12' | SELECT AVG("Goals for") FROM "table_33103" WHERE "Goal Difference" = '8' AND "Losses" < '12' | 0.089844 |
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 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 patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
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 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)
CREATE TABLE d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto 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 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 d_icd_procedures (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 d_labitems (row_id NUMBER, itemid NUMBER, label 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)
| how many patients were prescribed with ciprofloxacin iv within the same month during a year before after diagnosis of ileostomy status? | 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 = 'ileostomy status') AND DATETIME(diagnoses_icd.charttime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year')) AS t1 JOIN (SELECT admissions.subject_id, prescriptions.startdate FROM prescriptions JOIN admissions ON prescriptions.hadm_id = admissions.hadm_id WHERE prescriptions.drug = 'ciprofloxacin iv' AND DATETIME(prescriptions.startdate, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year')) AS t2 ON t1.subject_id = t2.subject_id WHERE t1.charttime < t2.startdate AND DATETIME(t1.charttime, 'start of month') = DATETIME(t2.startdate, 'start of month') | WITH "t2" AS (SELECT "admissions"."subject_id", "prescriptions"."startdate" FROM "prescriptions" JOIN "admissions" ON "admissions"."hadm_id" = "prescriptions"."hadm_id" WHERE "prescriptions"."drug" = 'ciprofloxacin iv' AND DATETIME("prescriptions"."startdate", '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" = 'ileostomy status' 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"."startdate" AND DATETIME("diagnoses_icd"."charttime", 'start of month') = DATETIME("t2"."startdate", 'start of month') WHERE DATETIME("diagnoses_icd"."charttime", 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year') | 0.933594 |
CREATE TABLE table_name_67 (away_team VARCHAR2)
| In the game where Melbourne was the away team, what did they score? | SELECT away_team AS score FROM table_name_67 WHERE away_team = "melbourne" | SELECT "away_team" AS "score" FROM "table_name_67" WHERE "away_team" = "melbourne" | 0.080078 |
CREATE TABLE table_name_97 (team VARCHAR2, game VARCHAR2)
| What is the Team in Game 41? | SELECT team FROM table_name_97 WHERE game = 41 | SELECT "team" FROM "table_name_97" WHERE "game" = 41 | 0.050781 |
CREATE TABLE VoteTypes (Id NUMBER, Name CLOB)
CREATE TABLE PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId NUMBER)
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 PendingFlags (Id NUMBER, FlagTypeId NUMBER, PostId NUMBER, CreationDate TIME, CloseReasonTypeId NUMBER, CloseAsOffTopicReasonTypeId NUMBER, DuplicateOfQuestionId NUMBER, BelongsOnBaseHostAddress CLOB)
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 ReviewTaskTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Comments (Id NUMBER, PostId NUMBER, Score NUMBER, Text CLOB, CreationDate TIME, UserDisplayName CLOB, UserId NUMBER, ContentLicense CLOB)
CREATE TABLE PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId NUMBER)
CREATE TABLE Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
CREATE TABLE FlagTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostTags (PostId NUMBER, TagId NUMBER)
CREATE TABLE Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
CREATE TABLE ReviewTaskStates (Id NUMBER, Name CLOB, Description CLOB)
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 SuggestedEdits (Id NUMBER, PostId NUMBER, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId NUMBER, Comment CLOB, Text CLOB, Title CLOB, Tags CLOB, RevisionGUID other)
CREATE TABLE ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId NUMBER)
CREATE TABLE PostTypes (Id NUMBER, Name CLOB)
CREATE TABLE SuggestedEditVotes (Id NUMBER, SuggestedEditId NUMBER, UserId NUMBER, VoteTypeId NUMBER, CreationDate TIME, TargetUserId NUMBER, TargetRepChange NUMBER)
CREATE TABLE CloseReasonTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount NUMBER)
CREATE TABLE ReviewTaskResultTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
CREATE TABLE PostHistoryTypes (Id NUMBER, Name CLOB)
CREATE TABLE PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
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 PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
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 ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment 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)
| Microsoft C++ Top 10000 Questions by View Count. Microsoft C++ Top 10000 Questions by View Count | SELECT Posts.Id AS "post_link", Posts.ViewCount, Posts.Body, Posts.LastActivityDate, Posts.Tags FROM Posts JOIN PostTags ON Posts.Id = PostTags.PostId JOIN Tags ON PostTags.TagId = Tags.Id WHERE Tags.TagName LIKE '%microsoft%' ORDER BY Posts.ViewCount DESC LIMIT 10000 | SELECT "Posts"."Id" AS "post_link", "Posts"."ViewCount", "Posts"."Body", "Posts"."LastActivityDate", "Posts"."Tags" FROM "Posts" JOIN "PostTags" ON "PostTags"."PostId" = "Posts"."Id" JOIN "Tags" ON "PostTags"."TagId" = "Tags"."Id" AND "Tags"."TagName" LIKE '%microsoft%' ORDER BY "Posts"."ViewCount" DESC FETCH FIRST 10000 ROWS ONLY | 0.324219 |
CREATE TABLE table_18200 ("District" CLOB, "Incumbent" CLOB, "Party" CLOB, "First elected" FLOAT, "Status" CLOB, "Opponent" CLOB)
| What party is Sanford Bishop a member of? | SELECT "Party" FROM table_18200 WHERE "Incumbent" = 'Sanford Bishop' | SELECT "Party" FROM "table_18200" WHERE "Incumbent" = 'Sanford Bishop' | 0.068359 |
CREATE TABLE table_name_59 (total_rebounds NUMBER, player VARCHAR2)
| What was Peter Woolfolk's Total Rebound average? | SELECT SUM(total_rebounds) FROM table_name_59 WHERE player = "peter woolfolk" | SELECT SUM("total_rebounds") FROM "table_name_59" WHERE "peter woolfolk" = "player" | 0.081055 |
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 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)
| how many patients marital status is single and are tested with albumin in lab? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.marital_status = "MARRIED" AND lab.label = "Albumin" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "lab" ON "Albumin" = "lab"."label" AND "demographic"."hadm_id" = "lab"."hadm_id" WHERE "MARRIED" = "demographic"."marital_status" | 0.198242 |
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 Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount NUMBER)
CREATE TABLE PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
CREATE TABLE PendingFlags (Id NUMBER, FlagTypeId NUMBER, PostId NUMBER, CreationDate TIME, CloseReasonTypeId NUMBER, CloseAsOffTopicReasonTypeId NUMBER, DuplicateOfQuestionId NUMBER, BelongsOnBaseHostAddress CLOB)
CREATE TABLE PostHistoryTypes (Id NUMBER, Name 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 Comments (Id NUMBER, PostId NUMBER, Score NUMBER, Text CLOB, CreationDate TIME, UserDisplayName CLOB, UserId NUMBER, ContentLicense CLOB)
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 Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
CREATE TABLE PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId NUMBER)
CREATE TABLE ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment CLOB)
CREATE TABLE ReviewTaskStates (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE SuggestedEditVotes (Id NUMBER, SuggestedEditId NUMBER, UserId NUMBER, VoteTypeId NUMBER, CreationDate TIME, TargetUserId NUMBER, TargetRepChange NUMBER)
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 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 PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
CREATE TABLE PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId NUMBER)
CREATE TABLE VoteTypes (Id NUMBER, Name CLOB)
CREATE TABLE ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId NUMBER)
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)
CREATE TABLE ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
CREATE TABLE FlagTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE ReviewTaskResultTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE CloseReasonTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostTags (PostId NUMBER, TagId NUMBER)
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 PostTypes (Id NUMBER, Name CLOB)
CREATE TABLE ReviewTaskTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
| Python vs. R (Number of Questions per Month). | SELECT DATEADD(MONTH, DATEDIFF(MONTH, 0, creationDate), 0) AS Month, Tags.TagName, COUNT(Posts.Id) AS Questions FROM Posts LEFT JOIN PostTags ON Posts.Id = PostTags.PostId LEFT JOIN Tags ON PostTags.TagId = Tags.Id WHERE Posts.PostTypeId = 1 AND (PostTags.TagId = 4452 OR PostTags.TagId = 16) GROUP BY DATEADD(MONTH, DATEDIFF(MONTH, 0, creationDate), 0), Tags.TagName ORDER BY DATEADD(MONTH, DATEDIFF(MONTH, 0, creationDate), 0) DESC, Tags.TagName | SELECT DATEADD("MONTH", DATEDIFF(CAST("MONTH" AS DATETIME), CAST(0 AS DATETIME), CREATIONDATE), 0) AS "Month", "Tags"."TagName", COUNT("Posts"."Id") AS "Questions" FROM "Posts" LEFT JOIN "PostTags" ON "PostTags"."PostId" = "Posts"."Id" LEFT JOIN "Tags" ON "PostTags"."TagId" = "Tags"."Id" WHERE ("PostTags"."TagId" = 16 OR "PostTags"."TagId" = 4452) AND "Posts"."PostTypeId" = 1 GROUP BY DATEADD("MONTH", DATEDIFF(CAST("MONTH" AS DATETIME), CAST(0 AS DATETIME), CREATIONDATE), 0), "Tags"."TagName" ORDER BY DATEADD("MONTH", DATEDIFF(CAST("MONTH" AS DATETIME), CAST(0 AS DATETIME), CREATIONDATE), 0) DESC, "Tags"."TagName" | 0.606445 |
CREATE TABLE PostTags (PostId NUMBER, TagId NUMBER)
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 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 SuggestedEdits (Id NUMBER, PostId NUMBER, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId NUMBER, Comment CLOB, Text CLOB, Title CLOB, Tags CLOB, RevisionGUID other)
CREATE TABLE Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
CREATE TABLE CloseReasonTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
CREATE TABLE Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount NUMBER)
CREATE TABLE ReviewTaskStates (Id NUMBER, Name CLOB, Description CLOB)
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 PostTypes (Id NUMBER, Name 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 ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment CLOB)
CREATE TABLE PendingFlags (Id NUMBER, FlagTypeId NUMBER, PostId NUMBER, CreationDate TIME, CloseReasonTypeId NUMBER, CloseAsOffTopicReasonTypeId NUMBER, DuplicateOfQuestionId NUMBER, BelongsOnBaseHostAddress CLOB)
CREATE TABLE FlagTypes (Id NUMBER, Name CLOB, Description CLOB)
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 ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
CREATE TABLE ReviewTaskTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
CREATE TABLE PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId 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 SuggestedEditVotes (Id NUMBER, SuggestedEditId NUMBER, UserId NUMBER, VoteTypeId NUMBER, CreationDate TIME, TargetUserId NUMBER, TargetRepChange NUMBER)
CREATE TABLE ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId NUMBER)
CREATE TABLE PostHistoryTypes (Id NUMBER, Name 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 PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
CREATE TABLE PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId NUMBER)
CREATE TABLE VoteTypes (Id NUMBER, Name CLOB)
| find a revision id for all posts. | SELECT ROW_NUMBER() OVER (PARTITION BY PostId ORDER BY CreationDate) AS revid, PostId, RevisionGUID FROM (SELECT DISTINCT PostId, RevisionGUID, CreationDate FROM PostHistory WHERE PostHistoryTypeId < 10) AS allrevs | WITH "allrevs" AS (SELECT DISTINCT "PostId", "RevisionGUID", "CreationDate" FROM "PostHistory" WHERE "PostHistoryTypeId" < 10) SELECT ROW_NUMBER() OVER (PARTITION BY "PostId" ORDER BY "CreationDate") AS "revid", "PostId", "RevisionGUID" FROM "allrevs" "allrevs" | 0.254883 |
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 medication (medicationid NUMBER, patientunitstayid NUMBER, drugname CLOB, dosage CLOB, routeadmin CLOB, drugstarttime TIME, drugstoptime 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 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 cost (costid NUMBER, uniquepid CLOB, patienthealthsystemstayid NUMBER, eventtype CLOB, eventid NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE treatment (treatmentid NUMBER, patientunitstayid NUMBER, treatmentname CLOB, treatmenttime TIME)
CREATE TABLE microlab (microlabid NUMBER, patientunitstayid NUMBER, culturesite CLOB, organism CLOB, culturetakentime TIME)
CREATE TABLE lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime TIME)
| how many patients received mechanical ventilation during the same month after having been diagnosed with hypothyroidism, since 2105? | SELECT COUNT(DISTINCT t1.uniquepid) FROM (SELECT patient.uniquepid, diagnosis.diagnosistime FROM diagnosis JOIN patient ON diagnosis.patientunitstayid = patient.patientunitstayid WHERE diagnosis.diagnosisname = 'hypothyroidism' AND STRFTIME('%y', diagnosis.diagnosistime) >= '2105') AS t1 JOIN (SELECT patient.uniquepid, treatment.treatmenttime FROM treatment JOIN patient ON treatment.patientunitstayid = patient.patientunitstayid WHERE treatment.treatmentname = 'mechanical ventilation' AND STRFTIME('%y', treatment.treatmenttime) >= '2105') AS t2 WHERE t1.diagnosistime < t2.treatmenttime AND DATETIME(t1.diagnosistime, 'start of month') = DATETIME(t2.treatmenttime, 'start of month') | SELECT COUNT(DISTINCT "patient"."uniquepid") FROM "diagnosis" JOIN "patient" ON "diagnosis"."patientunitstayid" = "patient"."patientunitstayid" JOIN "treatment" ON "diagnosis"."diagnosistime" < "treatment"."treatmenttime" AND "treatment"."treatmentname" = 'mechanical ventilation' AND DATETIME("diagnosis"."diagnosistime", 'start of month') = DATETIME("treatment"."treatmenttime", 'start of month') AND STRFTIME('%y', "treatment"."treatmenttime") >= '2105' JOIN "patient" "patient_2" ON "patient_2"."patientunitstayid" = "treatment"."patientunitstayid" WHERE "diagnosis"."diagnosisname" = 'hypothyroidism' AND STRFTIME('%y', "diagnosis"."diagnosistime") >= '2105' | 0.647461 |
CREATE TABLE table_203_56 (id NUMBER, "star" CLOB, "start\ year" NUMBER, "end\ year" NUMBER, "maximum\ year" NUMBER, "maximum\ magnitude" NUMBER, "distance at\ maximum ( ly ) " NUMBER, "current\ distance" NUMBER, "current\ magnitude" NUMBER)
| how many stars do not have a current magnitude greater than zero ? | SELECT COUNT("star") FROM table_203_56 WHERE "current\nmagnitude" <= 0 | SELECT COUNT("star") FROM "table_203_56" WHERE "current\nmagnitude" <= 0 | 0.070313 |
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid 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)
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)
| how many widow patients have lab test item id 51069? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.marital_status = "WIDOWED" AND lab.itemid = "51069" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "lab" ON "51069" = "lab"."itemid" AND "demographic"."hadm_id" = "lab"."hadm_id" WHERE "WIDOWED" = "demographic"."marital_status" | 0.197266 |
CREATE TABLE restaurant_type (restypeid NUMBER, restypename CLOB, restypedescription CLOB)
CREATE TABLE visits_restaurant (stuid NUMBER, resid NUMBER, time TIME, spent NUMBER)
CREATE TABLE type_of_restaurant (resid NUMBER, restypeid NUMBER)
CREATE TABLE student (stuid NUMBER, lname CLOB, fname CLOB, age NUMBER, sex CLOB, major NUMBER, advisor NUMBER, city_code CLOB)
CREATE TABLE restaurant (resid NUMBER, resname CLOB, address CLOB, rating NUMBER)
| What is the rating of the restaurant Subway? | SELECT rating FROM restaurant WHERE resname = "Subway" | SELECT "rating" FROM "restaurant" WHERE "Subway" = "resname" | 0.058594 |
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 microlab (microlabid NUMBER, patientunitstayid NUMBER, culturesite CLOB, organism CLOB, culturetakentime TIME)
CREATE TABLE lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime 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 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)
CREATE TABLE diagnosis (diagnosisid NUMBER, patientunitstayid NUMBER, diagnosisname CLOB, diagnosistime TIME, icd9code CLOB)
CREATE TABLE vitalperiodic (vitalperiodicid NUMBER, patientunitstayid NUMBER, temperature NUMBER, sao2 NUMBER, heartrate NUMBER, respiration NUMBER, systemicsystolic NUMBER, systemicdiastolic NUMBER, systemicmean NUMBER, observationtime TIME)
| what was the name of the intake that patient 016-38131 had last had on 12/30/this year. | SELECT intakeoutput.celllabel FROM intakeoutput WHERE intakeoutput.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '016-38131')) AND intakeoutput.cellpath LIKE '%intake%' AND DATETIME(intakeoutput.intakeoutputtime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-0 year') AND STRFTIME('%m-%d', intakeoutput.intakeoutputtime) = '12-30' ORDER BY intakeoutput.intakeoutputtime DESC LIMIT 1 | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '016-38131' 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 "intakeoutput"."celllabel" FROM "intakeoutput" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "intakeoutput"."patientunitstayid" WHERE "intakeoutput"."cellpath" LIKE '%intake%' AND DATETIME("intakeoutput"."intakeoutputtime", 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-0 year') AND NOT "_u_1"."" IS NULL AND STRFTIME('%m-%d', "intakeoutput"."intakeoutputtime") = '12-30' ORDER BY "intakeoutput"."intakeoutputtime" DESC FETCH FIRST 1 ROWS ONLY | 0.795898 |
CREATE TABLE table_26986076_2 (sat_29_aug VARCHAR2, fri_27_aug VARCHAR2)
| how many time is fri 27 aug 19' 38.87 115.219mph? | SELECT COUNT(sat_29_aug) FROM table_26986076_2 WHERE fri_27_aug = "19' 38.87 115.219mph" | SELECT COUNT("sat_29_aug") FROM "table_26986076_2" WHERE "19' 38.87 115.219mph" = "fri_27_aug" | 0.091797 |
CREATE TABLE table_name_52 (drawn NUMBER, points VARCHAR2, lost VARCHAR2)
| What is the smallest number of drawn games when there are fewer than 4 points and more than 4 lost games? | SELECT MIN(drawn) FROM table_name_52 WHERE points < 4 AND lost > 4 | SELECT MIN("drawn") FROM "table_name_52" WHERE "lost" > 4 AND "points" < 4 | 0.072266 |
CREATE TABLE table_train_135 ("id" NUMBER, "loss_of_consciousness" BOOLEAN, "systolic_blood_pressure_sbp" NUMBER, "head_injury" BOOLEAN, "heart_disease" BOOLEAN, "stroke" BOOLEAN, "renal_disease" BOOLEAN, "hepatic_disease" BOOLEAN, "hydrocephalus" BOOLEAN, "peptic_ulcer_disease" BOOLEAN, "blood_glucose" NUMBER, "diastolic_blood_pressure_dbp" NUMBER, "liver_disease" BOOLEAN, "gastrointestinal_disease" BOOLEAN, "allergy_to_drug" BOOLEAN, "neurological_disease" BOOLEAN, "seizure_disorder" BOOLEAN, "alcohol_abuse" BOOLEAN, "parkinson_disease" BOOLEAN, "drug_abuse" BOOLEAN, "myocardial_infarction" BOOLEAN, "NOUSE" FLOAT)
| acute or poorly controlled medical illness: blood pressure > 180 mmhg systolic or 100 mmhg diastolic; myocardial infarction within 6 months; uncompensated congestive heart failure ( nyha class iii or iv ) , severe renal, hepatic or gastrointestinal disease that could alter drug pharmacokinetics; blood glucose > 180 mg / dl on repeated testing at entry into study or need for insulin therapy | SELECT * FROM table_train_135 WHERE systolic_blood_pressure_sbp > 180 OR diastolic_blood_pressure_dbp > 100 OR myocardial_infarction = 1 OR heart_disease = 1 OR renal_disease = 1 OR hepatic_disease = 1 OR gastrointestinal_disease = 1 OR blood_glucose > 180 | SELECT * FROM "table_train_135" WHERE "blood_glucose" > 180 OR "diastolic_blood_pressure_dbp" > 100 OR "gastrointestinal_disease" = 1 OR "heart_disease" = 1 OR "hepatic_disease" = 1 OR "myocardial_infarction" = 1 OR "renal_disease" = 1 OR "systolic_blood_pressure_sbp" > 180 | 0.267578 |
CREATE TABLE table_61635 ("Date" CLOB, "Opponent" CLOB, "Score" CLOB, "Loss" CLOB, "Attendance" FLOAT, "Record" CLOB, "Arena" CLOB, "Points" FLOAT)
| What is the Date of the game when the Record is 32 31 6? | SELECT "Date" FROM table_61635 WHERE "Record" = '32–31–6' | SELECT "Date" FROM "table_61635" WHERE "Record" = '32–31–6' | 0.057617 |
CREATE TABLE table_1341973_3 (candidates VARCHAR2, incumbent VARCHAR2)
| Which candidates were in the election where Frank W. Boykin was an incumbent? | SELECT candidates FROM table_1341973_3 WHERE incumbent = "Frank W. Boykin" | SELECT "candidates" FROM "table_1341973_3" WHERE "Frank W. Boykin" = "incumbent" | 0.078125 |
CREATE TABLE table_204_174 (id NUMBER, "rank" NUMBER, "name" CLOB, "nationality" CLOB, "result" NUMBER, "notes" CLOB)
| how many names are there ? | SELECT COUNT("name") FROM table_204_174 | SELECT COUNT("name") FROM "table_204_174" | 0.040039 |
CREATE TABLE university (School_ID NUMBER, School CLOB, Location CLOB, Founded FLOAT, Affiliation CLOB, Enrollment FLOAT, Nickname CLOB, Primary_conference CLOB)
CREATE TABLE basketball_match (Team_ID NUMBER, School_ID NUMBER, Team_Name CLOB, ACC_Regular_Season CLOB, ACC_Percent CLOB, ACC_Home CLOB, ACC_Road CLOB, All_Games CLOB, All_Games_Percent NUMBER, All_Home CLOB, All_Road CLOB, All_Neutral CLOB)
| Show me about the distribution of ACC_Road and School_ID , and group by attribute ACC_Home in a bar chart, and show Y-axis in descending order. | SELECT ACC_Road, School_ID FROM basketball_match GROUP BY ACC_Home, ACC_Road ORDER BY School_ID DESC | SELECT "ACC_Road", "School_ID" FROM "basketball_match" GROUP BY "ACC_Home", "ACC_Road" ORDER BY "School_ID" DESC | 0.109375 |
CREATE TABLE table_57211 ("Year" CLOB, "Champion" CLOB, "Score" CLOB, "Runner-Up" CLOB, "Location" CLOB, "Semi-Finalist #1" CLOB, "Semi-Finalist #2" CLOB)
| Who was the runner-up at the South Florida Semi-Finalist #1? | SELECT "Runner-Up" FROM table_57211 WHERE "Semi-Finalist #1" = 'south florida' | SELECT "Runner-Up" FROM "table_57211" WHERE "Semi-Finalist #1" = 'south florida' | 0.078125 |
CREATE TABLE table_203_460 (id NUMBER, "player" CLOB, "played" NUMBER, "legs won" NUMBER, "legs lost" NUMBER, "lwat" NUMBER, "100+" NUMBER, "140+" NUMBER, "180s" NUMBER, "high checkout" NUMBER, "3-dart average" NUMBER)
| mark walsh 's average is above/below 93 ? | SELECT (SELECT "3-dart average" FROM table_203_460 WHERE "player" = 'mark walsh') > 93 | SELECT (SELECT "3-dart average" FROM "table_203_460" WHERE "player" = 'mark walsh') > 93 | 0.085938 |
CREATE TABLE table_name_19 (rank VARCHAR2, country VARCHAR2)
| What is the total number of rank for the country of greece? | SELECT COUNT(rank) FROM table_name_19 WHERE country = "greece" | SELECT COUNT("rank") FROM "table_name_19" WHERE "country" = "greece" | 0.066406 |
CREATE TABLE table_name_53 (song VARCHAR2, artist_s_ VARCHAR2, work_done VARCHAR2, year VARCHAR2)
| Which 2006 Cobra Starship song has work done of guest vocals? | SELECT song FROM table_name_53 WHERE work_done = "guest vocals" AND year = 2006 AND artist_s_ = "cobra starship" | SELECT "song" FROM "table_name_53" WHERE "artist_s_" = "cobra starship" AND "guest vocals" = "work_done" AND "year" = 2006 | 0.119141 |
CREATE TABLE people (People_ID NUMBER, Name CLOB, Height FLOAT, Weight FLOAT, Date_of_Birth CLOB)
CREATE TABLE entrepreneur (Entrepreneur_ID NUMBER, People_ID NUMBER, Company CLOB, Money_Requested FLOAT, Investor CLOB)
| Return a pie on what are the investors of entrepreneurs and the corresponding number of entrepreneurs invested by each investor? | SELECT Investor, COUNT(*) FROM entrepreneur GROUP BY Investor | SELECT "Investor", COUNT(*) FROM "entrepreneur" GROUP BY "Investor" | 0.06543 |
CREATE TABLE table_32978 ("Name" CLOB, "Type" CLOB, "Planned Release" CLOB, "CC License" CLOB, "Sources available" CLOB, "Open Source Movie" CLOB)
| What different types are there with a CC License of by-nc-sa 2.5? | SELECT "Type" FROM table_32978 WHERE "CC License" = 'by-nc-sa 2.5' | SELECT "Type" FROM "table_32978" WHERE "CC License" = 'by-nc-sa 2.5' | 0.066406 |
CREATE TABLE table_15001753_1 (year VARCHAR2, mens_doubles VARCHAR2)
| How many years did aivaras kvedarauskas juozas spelveris participate in the men's doubles? | SELECT COUNT(year) FROM table_15001753_1 WHERE mens_doubles = "Aivaras Kvedarauskas Juozas Spelveris" | SELECT COUNT("year") FROM "table_15001753_1" WHERE "Aivaras Kvedarauskas Juozas Spelveris" = "mens_doubles" | 0.104492 |
CREATE TABLE table_204_642 (id NUMBER, "team" CLOB, "domestic tournament" CLOB, "position" CLOB, "appearance" CLOB, "qualified" CLOB)
| what is the total number of teams that qualified ? | SELECT COUNT("team") FROM table_204_642 | SELECT COUNT("team") FROM "table_204_642" | 0.040039 |
CREATE TABLE table_name_4 (player VARCHAR2, score VARCHAR2)
| Name the player with score of 74-68-71=213 | SELECT player FROM table_name_4 WHERE score = 74 - 68 - 71 = 213 | SELECT "player" FROM "table_name_4" WHERE "score" = FALSE | 0.055664 |
CREATE TABLE journal (journalid NUMBER, journalname VARCHAR2)
CREATE TABLE venue (venueid NUMBER, venuename VARCHAR2)
CREATE TABLE paper (paperid NUMBER, title VARCHAR2, venueid NUMBER, year NUMBER, numciting NUMBER, numcitedby NUMBER, journalid NUMBER)
CREATE TABLE paperdataset (paperid NUMBER, datasetid NUMBER)
CREATE TABLE paperkeyphrase (paperid NUMBER, keyphraseid NUMBER)
CREATE TABLE writes (paperid NUMBER, authorid NUMBER)
CREATE TABLE cite (citingpaperid NUMBER, citedpaperid NUMBER)
CREATE TABLE paperfield (fieldid NUMBER, paperid NUMBER)
CREATE TABLE dataset (datasetid NUMBER, datasetname VARCHAR2)
CREATE TABLE field (fieldid NUMBER)
CREATE TABLE keyphrase (keyphraseid NUMBER, keyphrasename VARCHAR2)
CREATE TABLE author (authorid NUMBER, authorname VARCHAR2)
| What papers were published during the conference ACL 2016 ? | SELECT DISTINCT paper.paperid FROM paper, venue WHERE paper.year = 2016 AND venue.venueid = paper.venueid AND venue.venuename = 'ACL' | SELECT DISTINCT "paper"."paperid" FROM "paper" JOIN "venue" ON "paper"."venueid" = "venue"."venueid" AND "venue"."venuename" = 'ACL' WHERE "paper"."year" = 2016 | 0.15625 |
CREATE TABLE Reservations (Code NUMBER, Room CLOB, CheckIn CLOB, CheckOut CLOB, Rate FLOAT, LastName CLOB, FirstName CLOB, Adults NUMBER, Kids NUMBER)
CREATE TABLE Rooms (RoomId CLOB, roomName CLOB, beds NUMBER, bedType CLOB, maxOccupancy NUMBER, basePrice NUMBER, decor CLOB)
| For each room, find its name and the number of times reservations were made for it, you can use the data to draw a bar chart, could you display by the the total number in desc please? | SELECT roomName, COUNT(*) FROM Reservations AS T1 JOIN Rooms AS T2 ON T1.Room = T2.RoomId GROUP BY T1.Room ORDER BY COUNT(*) DESC | SELECT "roomName", COUNT(*) FROM "Reservations" "T1" JOIN "Rooms" "T2" ON "T1"."Room" = "T2"."RoomId" GROUP BY "T1"."Room" ORDER BY COUNT(*) DESC | 0.141602 |
CREATE TABLE table_name_85 (week VARCHAR2, venue VARCHAR2)
| What week was the game played at Mile High Stadium? | SELECT week FROM table_name_85 WHERE venue = "mile high stadium" | SELECT "week" FROM "table_name_85" WHERE "mile high stadium" = "venue" | 0.068359 |
CREATE TABLE table_12210 ("Res." CLOB, "Record" CLOB, "Opponent" CLOB, "Method" CLOB, "Event" CLOB, "Round" FLOAT, "Time" CLOB, "Location" CLOB)
| What is the time where the record is 10-1? | SELECT "Time" FROM table_12210 WHERE "Record" = '10-1' | SELECT "Time" FROM "table_12210" WHERE "Record" = '10-1' | 0.054688 |
CREATE TABLE table_16387653_1 (home_team VARCHAR2)
| What to Footscray score at home? | SELECT home_team AS score FROM table_16387653_1 WHERE home_team = "Footscray" | SELECT "home_team" AS "score" FROM "table_16387653_1" WHERE "Footscray" = "home_team" | 0.083008 |
CREATE TABLE table_name_21 (circuit VARCHAR2, winning_driver VARCHAR2, round VARCHAR2)
| What circuit did Rupert Keegan win in round 8? | SELECT circuit FROM table_name_21 WHERE winning_driver = "rupert keegan" AND round = 8 | SELECT "circuit" FROM "table_name_21" WHERE "round" = 8 AND "rupert keegan" = "winning_driver" | 0.091797 |
CREATE TABLE Manufacturers (Code NUMBER, Name VARCHAR2, Headquarter VARCHAR2, Founder VARCHAR2, Revenue FLOAT)
CREATE TABLE Products (Code NUMBER, Name VARCHAR2, Price NUMBER, Manufacturer NUMBER)
| How many different products are produced in each headquarter city Visualize by bar chart, show x-axis from high to low order. | SELECT Headquarter, COUNT(DISTINCT T1.Name) FROM Products AS T1 JOIN Manufacturers AS T2 ON T1.Manufacturer = T2.Code ORDER BY Headquarter DESC | SELECT "Headquarter", COUNT(DISTINCT "T1"."Name") FROM "Products" "T1" JOIN "Manufacturers" "T2" ON "T1"."Manufacturer" = "T2"."Code" ORDER BY "Headquarter" DESC | 0.157227 |
CREATE TABLE gsi (course_offering_id NUMBER, student_id 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 requirement (requirement_id NUMBER, requirement VARCHAR2, college 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 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 offering_instructor (offering_instructor_id NUMBER, offering_id NUMBER, instructor_id NUMBER)
CREATE TABLE program (program_id NUMBER, name VARCHAR2, college VARCHAR2, introduction VARCHAR2)
CREATE TABLE area (course_id NUMBER, area VARCHAR2)
CREATE TABLE program_requirement (program_id NUMBER, category VARCHAR2, min_credit NUMBER, additional_req VARCHAR2)
CREATE TABLE comment_instructor (instructor_id NUMBER, student_id NUMBER, score NUMBER, comment_text VARCHAR2)
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 program_course (program_id NUMBER, course_id NUMBER, workload NUMBER, category VARCHAR2)
CREATE TABLE instructor (instructor_id NUMBER, name VARCHAR2, uniqname VARCHAR2)
CREATE TABLE course_prerequisite (pre_course_id NUMBER, course_id NUMBER)
CREATE TABLE ta (campus_job_id NUMBER, student_id NUMBER, location 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 semester (semester_id NUMBER, semester VARCHAR2, year NUMBER)
CREATE TABLE jobs (job_id NUMBER, job_title VARCHAR2, description VARCHAR2, requirement VARCHAR2, city VARCHAR2, state VARCHAR2, country VARCHAR2, zip NUMBER)
| In the past what classes has Dr. Jasmine Zheng taught ? | SELECT DISTINCT course.department, course.name, course.number FROM course, course_offering, instructor, offering_instructor WHERE course_offering.semester < (SELECT SEMESTERalias0.semester_id FROM semester AS SEMESTERalias0 WHERE SEMESTERalias0.semester = 'WN' AND SEMESTERalias0.year = 2016) AND course.course_id = course_offering.course_id AND instructor.name LIKE '%Jasmine Zheng%' AND offering_instructor.instructor_id = instructor.instructor_id AND offering_instructor.offering_id = course_offering.offering_id | SELECT DISTINCT "course"."department", "course"."name", "course"."number" FROM "course" JOIN "course_offering" ON "course"."course_id" = "course_offering"."course_id" JOIN "semester" "SEMESTERalias0" ON "SEMESTERalias0"."semester" = 'WN' AND "SEMESTERalias0"."semester_id" > "course_offering"."semester" AND "SEMESTERalias0"."year" = 2016 JOIN "offering_instructor" ON "course_offering"."offering_id" = "offering_instructor"."offering_id" JOIN "instructor" ON "instructor"."instructor_id" = "offering_instructor"."instructor_id" AND "instructor"."name" LIKE '%Jasmine Zheng%' | 0.561523 |
CREATE TABLE table_name_59 (console VARCHAR2, arcade VARCHAR2)
| What is the Console when Space Invaders is the Arcade? | SELECT console FROM table_name_59 WHERE arcade = "space invaders" | SELECT "console" FROM "table_name_59" WHERE "arcade" = "space invaders" | 0.069336 |
CREATE TABLE table_name_55 (british VARCHAR2, letter VARCHAR2)
| What is the British letter with o /o /? | SELECT british FROM table_name_55 WHERE letter = "o /oʊ/" | SELECT "british" FROM "table_name_55" WHERE "letter" = "o /oʊ/" | 0.061523 |
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 lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid 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 procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
| how many patients admitted before the year 2125 have lab test item id number 50970? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.admityear < "2125" AND lab.itemid = "50970" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "lab" ON "50970" = "lab"."itemid" AND "demographic"."hadm_id" = "lab"."hadm_id" WHERE "2125" > "demographic"."admityear" | 0.189453 |
CREATE TABLE table_name_3 (date VARCHAR2, team_record VARCHAR2)
| What is the Date, when the Team Record is 2-0? | SELECT date FROM table_name_3 WHERE team_record = "2-0" | SELECT "date" FROM "table_name_3" WHERE "2-0" = "team_record" | 0.05957 |
CREATE TABLE lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime 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 intakeoutput (intakeoutputid NUMBER, patientunitstayid NUMBER, cellpath CLOB, celllabel CLOB, cellvaluenumeric NUMBER, intakeoutputtime TIME)
CREATE TABLE microlab (microlabid NUMBER, patientunitstayid NUMBER, culturesite CLOB, organism CLOB, culturetakentime TIME)
CREATE TABLE medication (medicationid NUMBER, patientunitstayid NUMBER, drugname CLOB, dosage CLOB, routeadmin CLOB, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE cost (costid NUMBER, uniquepid CLOB, patienthealthsystemstayid NUMBER, eventtype CLOB, eventid NUMBER, chargetime TIME, cost NUMBER)
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 treatment (treatmentid NUMBER, patientunitstayid NUMBER, treatmentname CLOB, treatmenttime TIME)
CREATE TABLE allergy (allergyid NUMBER, patientunitstayid NUMBER, drugname CLOB, allergyname CLOB, allergytime TIME)
CREATE TABLE diagnosis (diagnosisid NUMBER, patientunitstayid NUMBER, diagnosisname CLOB, diagnosistime TIME, icd9code CLOB)
| list the top four most frequent medications that patients have been prescribed in the same hospital encounter after being diagnosed with upper urinary tract infection since 2100. | SELECT t3.drugname FROM (SELECT t2.drugname, DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS c1 FROM (SELECT patient.uniquepid, diagnosis.diagnosistime, patient.patienthealthsystemstayid FROM diagnosis JOIN patient ON diagnosis.patientunitstayid = patient.patientunitstayid WHERE diagnosis.diagnosisname = 'upper urinary tract infection' AND STRFTIME('%y', diagnosis.diagnosistime) >= '2100') AS t1 JOIN (SELECT patient.uniquepid, medication.drugname, medication.drugstarttime, patient.patienthealthsystemstayid FROM medication JOIN patient ON medication.patientunitstayid = patient.patientunitstayid WHERE STRFTIME('%y', medication.drugstarttime) >= '2100') AS t2 ON t1.uniquepid = t2.uniquepid WHERE t1.diagnosistime < t2.drugstarttime AND t1.patienthealthsystemstayid = t2.patienthealthsystemstayid GROUP BY t2.drugname) AS t3 WHERE t3.c1 <= 4 | WITH "t2" AS (SELECT "patient"."uniquepid", "medication"."drugname", "medication"."drugstarttime", "patient"."patienthealthsystemstayid" FROM "medication" JOIN "patient" ON "medication"."patientunitstayid" = "patient"."patientunitstayid" WHERE STRFTIME('%y', "medication"."drugstarttime") >= '2100'), "t3" AS (SELECT "t2"."drugname", DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS "c1" FROM "diagnosis" JOIN "patient" ON "diagnosis"."patientunitstayid" = "patient"."patientunitstayid" JOIN "t2" "t2" ON "diagnosis"."diagnosistime" < "t2"."drugstarttime" AND "patient"."patienthealthsystemstayid" = "t2"."patienthealthsystemstayid" AND "patient"."uniquepid" = "t2"."uniquepid" WHERE "diagnosis"."diagnosisname" = 'upper urinary tract infection' AND STRFTIME('%y', "diagnosis"."diagnosistime") >= '2100' GROUP BY "t2"."drugname") SELECT "t3"."drugname" FROM "t3" "t3" WHERE "t3"."c1" <= 4 | 0.864258 |
CREATE TABLE basketball_match (Team_ID NUMBER, School_ID NUMBER, Team_Name CLOB, ACC_Regular_Season CLOB, ACC_Percent CLOB, ACC_Home CLOB, ACC_Road CLOB, All_Games CLOB, All_Games_Percent NUMBER, All_Home CLOB, All_Road CLOB, All_Neutral CLOB)
CREATE TABLE university (School_ID NUMBER, School CLOB, Location CLOB, Founded FLOAT, Affiliation CLOB, Enrollment FLOAT, Nickname CLOB, Primary_conference CLOB)
| Bar chart x axis acc road y axis how many acc road, and could you sort from high to low by the names? | SELECT ACC_Road, COUNT(ACC_Road) FROM basketball_match GROUP BY ACC_Road ORDER BY ACC_Road DESC | SELECT "ACC_Road", COUNT("ACC_Road") FROM "basketball_match" GROUP BY "ACC_Road" ORDER BY "ACC_Road" DESC | 0.102539 |
CREATE TABLE table_64060 ("Date" CLOB, "Tournament" CLOB, "Surface" CLOB, "Partner" CLOB, "Opponent in Final" CLOB, "Score" CLOB)
| What date had Alexander Krasnorutskiy as a partner with a score of 6 3, 4 6, 6 2? | SELECT "Date" FROM table_64060 WHERE "Partner" = 'alexander krasnorutskiy' AND "Score" = '6–3, 4–6, 6–2' | SELECT "Date" FROM "table_64060" WHERE "Partner" = 'alexander krasnorutskiy' AND "Score" = '6–3, 4–6, 6–2' | 0.103516 |
CREATE TABLE table_8308 ("Place" CLOB, "Player" CLOB, "Country" CLOB, "Score" CLOB, "To par" CLOB, "Money ( $ ) " FLOAT)
| What was the score when the match was in the country of Scotland? | SELECT "Score" FROM table_8308 WHERE "Country" = 'scotland' | SELECT "Score" FROM "table_8308" WHERE "Country" = 'scotland' | 0.05957 |
CREATE TABLE table_name_88 (surplus_deficit_ VARCHAR2, _percentage_gdp VARCHAR2, expenditure VARCHAR2, year VARCHAR2)
| Which Surplus(Deficit) has an Expenditure larger than 45.8, and a Year smaller than 2011, and a % GDP of (0.9%)? | SELECT surplus_deficit_ FROM table_name_88 WHERE expenditure > 45.8 AND year < 2011 AND _percentage_gdp = "(0.9%)" | SELECT "surplus_deficit_" FROM "table_name_88" WHERE "(0.9%)" = "_percentage_gdp" AND "expenditure" > 45.8 AND "year" < 2011 | 0.121094 |
CREATE TABLE lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime TIME)
CREATE TABLE medication (medicationid NUMBER, patientunitstayid NUMBER, drugname CLOB, dosage CLOB, routeadmin CLOB, drugstarttime TIME, drugstoptime 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 treatment (treatmentid NUMBER, patientunitstayid NUMBER, treatmentname CLOB, treatmenttime TIME)
CREATE TABLE diagnosis (diagnosisid NUMBER, patientunitstayid NUMBER, diagnosisname CLOB, diagnosistime TIME, icd9code CLOB)
CREATE TABLE cost (costid NUMBER, uniquepid CLOB, patienthealthsystemstayid NUMBER, eventtype CLOB, eventid NUMBER, chargetime TIME, cost NUMBER)
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 microlab (microlabid NUMBER, patientunitstayid NUMBER, culturesite CLOB, organism CLOB, culturetakentime TIME)
| how many patients were diagnosed with acute copd exacerbation within 2 months after being diagnosed with valvular stenosis - aortic since 2103. | SELECT COUNT(DISTINCT t1.uniquepid) FROM (SELECT patient.uniquepid, diagnosis.diagnosistime FROM diagnosis JOIN patient ON diagnosis.patientunitstayid = patient.patientunitstayid WHERE diagnosis.diagnosisname = 'acute copd exacerbation' AND STRFTIME('%y', diagnosis.diagnosistime) >= '2103') AS t1 JOIN (SELECT patient.uniquepid, diagnosis.diagnosistime FROM diagnosis JOIN patient ON diagnosis.patientunitstayid = patient.patientunitstayid WHERE diagnosis.diagnosisname = 'valvular stenosis - aortic' AND STRFTIME('%y', diagnosis.diagnosistime) >= '2103') AS t2 WHERE t1.diagnosistime < t2.diagnosistime AND DATETIME(t2.diagnosistime) BETWEEN DATETIME(t1.diagnosistime) AND DATETIME(t1.diagnosistime, '+2 month') | SELECT COUNT(DISTINCT "patient"."uniquepid") FROM "diagnosis" JOIN "patient" ON "diagnosis"."patientunitstayid" = "patient"."patientunitstayid" JOIN "diagnosis" "diagnosis_2" ON "diagnosis"."diagnosistime" < "diagnosis_2"."diagnosistime" AND "diagnosis_2"."diagnosisname" = 'valvular stenosis - aortic' AND DATETIME("diagnosis"."diagnosistime") <= DATETIME("diagnosis_2"."diagnosistime") AND DATETIME("diagnosis"."diagnosistime", '+2 month') >= DATETIME("diagnosis_2"."diagnosistime") AND STRFTIME('%y', "diagnosis_2"."diagnosistime") >= '2103' JOIN "patient" "patient_2" ON "diagnosis_2"."patientunitstayid" = "patient_2"."patientunitstayid" WHERE "diagnosis"."diagnosisname" = 'acute copd exacerbation' AND STRFTIME('%y', "diagnosis"."diagnosistime") >= '2103' | 0.744141 |
CREATE TABLE table_46665 ("Country" CLOB, "Preliminary" FLOAT, "Interview" FLOAT, "Swimsuit" FLOAT, "Evening Gown" FLOAT, "Average" FLOAT)
| What is the lowest average score where the evening gown score was 8.811? | SELECT MIN("Average") FROM table_46665 WHERE "Evening Gown" = '8.811' | SELECT MIN("Average") FROM "table_46665" WHERE "Evening Gown" = '8.811' | 0.069336 |
CREATE TABLE procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title 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 outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value 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 d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
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 microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name 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 d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto 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 inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
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 chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
| when was the first time patient 30171 got a lab test until 05/2105 for bicarbonate? | SELECT labevents.charttime FROM labevents WHERE labevents.itemid IN (SELECT d_labitems.itemid FROM d_labitems WHERE d_labitems.label = 'bicarbonate') AND labevents.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 30171) AND STRFTIME('%y-%m', labevents.charttime) <= '2105-05' ORDER BY labevents.charttime LIMIT 1 | WITH "_u_0" AS (SELECT "d_labitems"."itemid" FROM "d_labitems" WHERE "d_labitems"."label" = 'bicarbonate' GROUP BY "itemid"), "_u_1" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 30171 GROUP BY "hadm_id") SELECT "labevents"."charttime" FROM "labevents" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "labevents"."itemid" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "labevents"."hadm_id" WHERE NOT "_u_0"."" IS NULL AND NOT "_u_1"."" IS NULL AND STRFTIME('%y-%m', "labevents"."charttime") <= '2105-05' ORDER BY "labevents"."charttime" FETCH FIRST 1 ROWS ONLY | 0.570313 |
CREATE TABLE table_50638 ("Res." CLOB, "Record" CLOB, "Opponent" CLOB, "Method" CLOB, "Round" CLOB, "Location" CLOB)
| What was the location of the fight when Gassaway fought kevin knabjian? | SELECT "Location" FROM table_50638 WHERE "Opponent" = 'kevin knabjian' | SELECT "Location" FROM "table_50638" WHERE "Opponent" = 'kevin knabjian' | 0.070313 |
CREATE TABLE table_name_82 (country VARCHAR2, play VARCHAR2)
| Which Country is the Play Electra and Orestes, The Trial from? | SELECT country FROM table_name_82 WHERE play = "electra and orestes, the trial" | SELECT "country" FROM "table_name_82" WHERE "electra and orestes, the trial" = "play" | 0.083008 |
CREATE TABLE pitstops (raceid NUMBER, driverid NUMBER, stop NUMBER, lap NUMBER, time CLOB, duration CLOB, milliseconds NUMBER)
CREATE TABLE qualifying (qualifyid NUMBER, raceid NUMBER, driverid NUMBER, constructorid NUMBER, number NUMBER, position NUMBER, q1 CLOB, q2 CLOB, q3 CLOB)
CREATE TABLE circuits (circuitid NUMBER, circuitref CLOB, name CLOB, location CLOB, country CLOB, lat NUMBER, lng NUMBER, alt NUMBER, url CLOB)
CREATE TABLE races (raceid NUMBER, year NUMBER, round NUMBER, circuitid NUMBER, name CLOB, date CLOB, time CLOB, url CLOB)
CREATE TABLE status (statusid NUMBER, status CLOB)
CREATE TABLE constructorstandings (constructorstandingsid NUMBER, raceid NUMBER, constructorid NUMBER, points NUMBER, position NUMBER, positiontext CLOB, wins NUMBER)
CREATE TABLE laptimes (raceid NUMBER, driverid NUMBER, lap NUMBER, position NUMBER, time CLOB, milliseconds NUMBER)
CREATE TABLE constructorresults (constructorresultsid NUMBER, raceid NUMBER, constructorid NUMBER, points NUMBER, status NUMBER)
CREATE TABLE seasons (year NUMBER, url CLOB)
CREATE TABLE driverstandings (driverstandingsid NUMBER, raceid NUMBER, driverid NUMBER, points NUMBER, position NUMBER, positiontext CLOB, wins NUMBER)
CREATE TABLE constructors (constructorid NUMBER, constructorref CLOB, name CLOB, nationality CLOB, url CLOB)
CREATE TABLE results (resultid NUMBER, raceid NUMBER, driverid NUMBER, constructorid NUMBER, number NUMBER, grid NUMBER, position NUMBER, positiontext CLOB, positionorder NUMBER, points NUMBER, laps NUMBER, time CLOB, milliseconds NUMBER, fastestlap NUMBER, rank NUMBER, fastestlaptime CLOB, fastestlapspeed CLOB, statusid NUMBER)
CREATE TABLE drivers (driverid NUMBER, driverref CLOB, number NUMBER, code CLOB, forename CLOB, surname CLOB, dob CLOB, nationality CLOB, url CLOB)
| What are the first names of the different drivers who won in position 1 as driver standing and had more than 20 points? | SELECT DISTINCT T1.forename FROM drivers AS T1 JOIN driverstandings AS T2 ON T1.driverid = T2.driverid WHERE T2.position = 1 AND T2.wins = 1 AND T2.points > 20 | SELECT DISTINCT "T1"."forename" FROM "drivers" "T1" JOIN "driverstandings" "T2" ON "T1"."driverid" = "T2"."driverid" AND "T2"."points" > 20 AND "T2"."position" = 1 AND "T2"."wins" = 1 | 0.178711 |
CREATE TABLE table_23296 ("#" FLOAT, "Player" CLOB, "Age" FLOAT, "Australian Open" FLOAT, "French Open" FLOAT, "Wimbledon" FLOAT, "US Open" FLOAT)
| Who won the French Open in 1999? | SELECT "Player" FROM table_23296 WHERE "French Open" = '1999' | SELECT "Player" FROM "table_23296" WHERE "French Open" = '1999' | 0.061523 |
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 d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto 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 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 inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount 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)
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 diagnoses_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 microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
| what is the daily average amount of albumin of patient 19175? | SELECT AVG(labevents.valuenum) FROM labevents WHERE labevents.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 19175) AND labevents.itemid IN (SELECT d_labitems.itemid FROM d_labitems WHERE d_labitems.label = 'albumin') GROUP BY STRFTIME('%y-%m-%d', labevents.charttime) | WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 19175 GROUP BY "hadm_id"), "_u_1" AS (SELECT "d_labitems"."itemid" FROM "d_labitems" WHERE "d_labitems"."label" = 'albumin' GROUP BY "itemid") SELECT AVG("labevents"."valuenum") FROM "labevents" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "labevents"."hadm_id" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "labevents"."itemid" WHERE NOT "_u_0"."" IS NULL AND NOT "_u_1"."" IS NULL GROUP BY STRFTIME('%y-%m-%d', "labevents"."charttime") | 0.509766 |
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 Comments (Id NUMBER, PostId NUMBER, Score NUMBER, Text CLOB, CreationDate TIME, UserDisplayName CLOB, UserId NUMBER, ContentLicense CLOB)
CREATE TABLE PostHistoryTypes (Id NUMBER, Name CLOB)
CREATE TABLE ReviewTaskStates (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
CREATE TABLE Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount NUMBER)
CREATE TABLE ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment CLOB)
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 VoteTypes (Id NUMBER, Name CLOB)
CREATE TABLE PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId NUMBER)
CREATE TABLE PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
CREATE TABLE Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
CREATE TABLE CloseReasonTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE SuggestedEditVotes (Id NUMBER, SuggestedEditId NUMBER, UserId NUMBER, VoteTypeId NUMBER, CreationDate TIME, TargetUserId NUMBER, TargetRepChange NUMBER)
CREATE TABLE PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId NUMBER)
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)
CREATE TABLE FlagTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PendingFlags (Id NUMBER, FlagTypeId NUMBER, PostId NUMBER, CreationDate TIME, CloseReasonTypeId NUMBER, CloseAsOffTopicReasonTypeId NUMBER, DuplicateOfQuestionId NUMBER, BelongsOnBaseHostAddress CLOB)
CREATE TABLE PostTypes (Id NUMBER, Name CLOB)
CREATE TABLE PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId 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 PostHistory (Id NUMBER, PostHistoryTypeId NUMBER, PostId NUMBER, RevisionGUID other, CreationDate TIME, UserId NUMBER, UserDisplayName CLOB, Comment CLOB, Text CLOB, ContentLicense CLOB)
CREATE TABLE ReviewTaskTypes (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 PostTags (PostId NUMBER, TagId NUMBER)
CREATE TABLE ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
CREATE TABLE ReviewTaskResultTypes (Id NUMBER, Name CLOB, Description 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 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)
| Posts tagged with tag that contain the tag as title prefix. | SELECT Id AS "post_link", Tags, Score, AnswerCount AS Answers FROM Posts WHERE STR_POSITION(Tags, @tag) > 0 AND LOWER(Title) LIKE REPLACE(@tag, '-', ' ') + '%' AND ClosedDate IS NULL ORDER BY Score DESC | SELECT "Id" AS "post_link", "Tags", "Score", "AnswerCount" AS "Answers" FROM "Posts" WHERE "ClosedDate" IS NULL AND LOWER("Title") LIKE REPLACE(@tag, '-', ' ') + '%' AND STR_POSITION("Tags", @tag) > 0 ORDER BY "Score" DESC | 0.216797 |
CREATE TABLE job_history (EMPLOYEE_ID NUMBER, START_DATE DATE, END_DATE DATE, JOB_ID VARCHAR2, DEPARTMENT_ID NUMBER)
CREATE TABLE regions (REGION_ID NUMBER, REGION_NAME VARCHAR2)
CREATE TABLE jobs (JOB_ID VARCHAR2, JOB_TITLE VARCHAR2, MIN_SALARY NUMBER, MAX_SALARY 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 countries (COUNTRY_ID VARCHAR2, COUNTRY_NAME VARCHAR2, REGION_ID NUMBER)
CREATE TABLE locations (LOCATION_ID NUMBER, STREET_ADDRESS VARCHAR2, POSTAL_CODE VARCHAR2, CITY VARCHAR2, STATE_PROVINCE VARCHAR2, COUNTRY_ID VARCHAR2)
CREATE TABLE departments (DEPARTMENT_ID NUMBER, DEPARTMENT_NAME VARCHAR2, MANAGER_ID NUMBER, LOCATION_ID NUMBER)
| For those employees whose salary is in the range of 8000 and 12000 and commission is not null or department number does not equal to 40, a bar chart shows the distribution of job_id and the sum of employee_id , and group by attribute job_id, list by the Y-axis from high to low please. | SELECT JOB_ID, SUM(EMPLOYEE_ID) FROM employees WHERE SALARY BETWEEN 8000 AND 12000 AND COMMISSION_PCT <> "null" OR DEPARTMENT_ID <> 40 GROUP BY JOB_ID ORDER BY SUM(EMPLOYEE_ID) DESC | SELECT "JOB_ID", SUM("EMPLOYEE_ID") FROM "employees" WHERE ("COMMISSION_PCT" <> "null" OR "DEPARTMENT_ID" <> 40) AND ("DEPARTMENT_ID" <> 40 OR "SALARY" <= 12000) AND ("DEPARTMENT_ID" <> 40 OR "SALARY" >= 8000) GROUP BY "JOB_ID" ORDER BY SUM("EMPLOYEE_ID") DESC | 0.253906 |
CREATE TABLE table_7949 ("Date" CLOB, "Tournament" CLOB, "Surface" CLOB, "Partnering" CLOB, "Opponents in the final" CLOB, "Score" CLOB)
| What is Surface, when Opponents In The Final is 'Christophe Rochus Olivier Rochus'? | SELECT "Surface" FROM table_7949 WHERE "Opponents in the final" = 'christophe rochus olivier rochus' | SELECT "Surface" FROM "table_7949" WHERE "Opponents in the final" = 'christophe rochus olivier rochus' | 0.099609 |
CREATE TABLE table_35295 ("Round" FLOAT, "Player" CLOB, "Nationality" CLOB, "NHL team" CLOB, "College/Junior/Club Team ( League ) " CLOB)
| How many Rounds have a Nationality of canada, and a College/Junior/Club Team (League) of fort mcmurray oil barons (ajhl)? | SELECT COUNT("Round") FROM table_35295 WHERE "Nationality" = 'canada' AND "College/Junior/Club Team (League)" = 'fort mcmurray oil barons (ajhl)' | SELECT COUNT("Round") FROM "table_35295" WHERE "College/Junior/Club Team (League)" = 'fort mcmurray oil barons (ajhl)' AND "Nationality" = 'canada' | 0.143555 |
CREATE TABLE d_icd_procedures (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 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 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 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 microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
CREATE TABLE outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value 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)
CREATE TABLE d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom 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 patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod 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 d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
| calculate the duration of hospital stay of patient 23760's last hospital stay. | SELECT STRFTIME('%j', admissions.dischtime) - STRFTIME('%j', admissions.admittime) FROM admissions WHERE admissions.subject_id = 23760 AND NOT admissions.dischtime IS NULL ORDER BY admissions.admittime DESC LIMIT 1 | SELECT STRFTIME('%j', "admissions"."dischtime") - STRFTIME('%j', "admissions"."admittime") FROM "admissions" WHERE "admissions"."subject_id" = 23760 AND NOT "admissions"."dischtime" IS NULL ORDER BY "admissions"."admittime" DESC FETCH FIRST 1 ROWS ONLY | 0.246094 |
CREATE TABLE table_23840623_4 (epa_rated_combined_fuel_economy VARCHAR2, operating_mode VARCHAR2, dirty_electric_grid_rocky_mountains__denver_ VARCHAR2)
| What is the epa rated combined fuel economy for the all-electric vehicle with dirty electric grid rocky mountains (denver) of 330 g/mi (205 g/km)? | SELECT epa_rated_combined_fuel_economy FROM table_23840623_4 WHERE operating_mode = "All-electric" AND dirty_electric_grid_rocky_mountains__denver_ = "330 g/mi (205 g/km)" | SELECT "epa_rated_combined_fuel_economy" FROM "table_23840623_4" WHERE "330 g/mi (205 g/km)" = "dirty_electric_grid_rocky_mountains__denver_" AND "All-electric" = "operating_mode" | 0.174805 |
CREATE TABLE Agreements (Document_ID NUMBER, Event_ID NUMBER)
CREATE TABLE Addresses (Address_ID NUMBER, address_details VARCHAR2)
CREATE TABLE Assets (Asset_ID NUMBER, Other_Details VARCHAR2)
CREATE TABLE Products (Product_ID NUMBER, Product_Type_Code CHAR, Product_Name VARCHAR2, Product_Price NUMBER)
CREATE TABLE Products_in_Events (Product_in_Event_ID NUMBER, Event_ID NUMBER, Product_ID NUMBER)
CREATE TABLE Parties (Party_ID NUMBER, Party_Details VARCHAR2)
CREATE TABLE Locations (Location_ID NUMBER, Other_Details VARCHAR2)
CREATE TABLE Events (Event_ID NUMBER, Address_ID NUMBER, Channel_ID NUMBER, Event_Type_Code CHAR, Finance_ID NUMBER, Location_ID NUMBER)
CREATE TABLE Assets_in_Events (Asset_ID NUMBER, Event_ID NUMBER)
CREATE TABLE Parties_in_Events (Party_ID NUMBER, Event_ID NUMBER, Role_Code CHAR)
CREATE TABLE Channels (Channel_ID NUMBER, Other_Details VARCHAR2)
CREATE TABLE Finances (Finance_ID NUMBER, Other_Details VARCHAR2)
| Bar chart x axis product type code y axis the number of product type code, and rank by the Y-axis in ascending. | SELECT Product_Type_Code, COUNT(Product_Type_Code) FROM Products GROUP BY Product_Type_Code ORDER BY COUNT(Product_Type_Code) | SELECT "Product_Type_Code", COUNT("Product_Type_Code") FROM "Products" GROUP BY "Product_Type_Code" ORDER BY COUNT("Product_Type_Code") | 0.131836 |
CREATE TABLE table_name_63 (production_cost VARCHAR2, producer VARCHAR2)
| What is the production cost when the producer is raintree pictures? | SELECT production_cost FROM table_name_63 WHERE producer = "raintree pictures" | SELECT "production_cost" FROM "table_name_63" WHERE "producer" = "raintree pictures" | 0.082031 |
CREATE TABLE table_20462111_1 (date VARCHAR2)
| Who got the 3rd place in the cup on 01.02.2009? | SELECT 3 AS rd_place FROM table_20462111_1 WHERE date = "01.02.2009" | SELECT 3 AS "rd_place" FROM "table_20462111_1" WHERE "01.02.2009" = "date" | 0.072266 |
CREATE TABLE table_38152 ("Congress" CLOB, "Bill number ( s ) " CLOB, "Date introduced" CLOB, "Sponsor ( s ) " CLOB, "# of cosponsors" FLOAT)
| How many cosponsors have a Date introduced of may 22, 2008? | SELECT COUNT("# of cosponsors") FROM table_38152 WHERE "Date introduced" = 'may 22, 2008' | SELECT COUNT("# of cosponsors") FROM "table_38152" WHERE "Date introduced" = 'may 22, 2008' | 0.088867 |
CREATE TABLE table_72620 ("English gloss" CLOB, "Santee-Sisseton" CLOB, "Yankton-Yanktonai" CLOB, "Northern Lakota" CLOB, "Southern Lakota" CLOB)
| Name the santee sisseton for wi h a | SELECT "Santee-Sisseton" FROM table_72620 WHERE "Yankton-Yanktonai" = 'wičháša' | SELECT "Santee-Sisseton" FROM "table_72620" WHERE "Yankton-Yanktonai" = 'wičháša' | 0.079102 |
CREATE TABLE table_name_97 (winning_score VARCHAR2, date VARCHAR2)
| For the tournament played on Jul 4, 1982, what was the winning score? | SELECT winning_score FROM table_name_97 WHERE date = "jul 4, 1982" | SELECT "winning_score" FROM "table_name_97" WHERE "date" = "jul 4, 1982" | 0.070313 |
CREATE TABLE table_name_79 (country VARCHAR2, population__2011_est_ VARCHAR2)
| Which country has a population of 3,221,216? | SELECT country FROM table_name_79 WHERE population__2011_est_ = "3,221,216" | SELECT "country" FROM "table_name_79" WHERE "3,221,216" = "population__2011_est_" | 0.079102 |
CREATE TABLE table_27958 ("meas. num." FLOAT, "passed" CLOB, "YES votes" FLOAT, "NO votes" FLOAT, "% YES" CLOB, "Const. Amd.?" CLOB, "type" CLOB, "description" CLOB)
| What is the measure number for the bill described as obscenity and sexual conduct bill? | SELECT "meas. num." FROM table_27958 WHERE "description" = 'Obscenity and sexual conduct bill' | SELECT "meas. num." FROM "table_27958" WHERE "description" = 'Obscenity and sexual conduct bill' | 0.09375 |
CREATE TABLE table_name_11 (february NUMBER, record VARCHAR2, game VARCHAR2)
| What is the average February that has 18-26-10 as the record, with a game less than 54? | SELECT AVG(february) FROM table_name_11 WHERE record = "18-26-10" AND game < 54 | SELECT AVG("february") FROM "table_name_11" WHERE "18-26-10" = "record" AND "game" < 54 | 0.084961 |
CREATE TABLE table_name_63 (result VARCHAR2, week VARCHAR2)
| Can you tell me the Result that has the Week of 5? | SELECT result FROM table_name_63 WHERE week = 5 | SELECT "result" FROM "table_name_63" WHERE "week" = 5 | 0.051758 |
CREATE TABLE table_train_137 ("id" NUMBER, "hbv" BOOLEAN, "systolic_blood_pressure_sbp" NUMBER, "hemoglobin_a1c_hba1c" FLOAT, "substance_dependence" BOOLEAN, "hcv" BOOLEAN, "schizophrenia" BOOLEAN, "neutrophil_count" NUMBER, "renal_disease" BOOLEAN, "creatinine_clearance_cl" FLOAT, "platelet_count" FLOAT, "diastolic_greater_than" NUMBER, "pulse_rate" NUMBER, "bipolar_disorder" BOOLEAN, "delusional_disorder" BOOLEAN, "serum_creatinine" FLOAT, "alcohol_abuse" BOOLEAN, "primary_psychotic_disorder" BOOLEAN, "bilirubin" FLOAT, "schizoaffective_disorder" BOOLEAN, "NOUSE" FLOAT)
| subject has a history of primary psychotic disorder ( e.g. schizophrenia, schizoaffective disorder, delusional disorder ) or bipolar disorder. | SELECT * FROM table_train_137 WHERE primary_psychotic_disorder = 1 OR schizophrenia = 1 OR schizoaffective_disorder = 1 OR delusional_disorder = 1 OR bipolar_disorder = 1 | SELECT * FROM "table_train_137" WHERE "bipolar_disorder" = 1 OR "delusional_disorder" = 1 OR "primary_psychotic_disorder" = 1 OR "schizoaffective_disorder" = 1 OR "schizophrenia" = 1 | 0.177734 |
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 intakeoutput (intakeoutputid NUMBER, patientunitstayid NUMBER, cellpath CLOB, celllabel CLOB, cellvaluenumeric NUMBER, intakeoutputtime TIME)
CREATE TABLE diagnosis (diagnosisid NUMBER, patientunitstayid NUMBER, diagnosisname CLOB, diagnosistime TIME, icd9code CLOB)
CREATE TABLE medication (medicationid NUMBER, patientunitstayid NUMBER, drugname CLOB, dosage CLOB, routeadmin CLOB, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE cost (costid NUMBER, uniquepid CLOB, patienthealthsystemstayid NUMBER, eventtype CLOB, eventid NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE microlab (microlabid NUMBER, patientunitstayid NUMBER, culturesite CLOB, organism CLOB, culturetakentime 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 vitalperiodic (vitalperiodicid NUMBER, patientunitstayid NUMBER, temperature NUMBER, sao2 NUMBER, heartrate NUMBER, respiration NUMBER, systemicsystolic NUMBER, systemicdiastolic NUMBER, systemicmean NUMBER, observationtime TIME)
CREATE TABLE lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime TIME)
| for patients who were diagnosed in this year with stroke, what were the top three most common drugs that followed in the same hospital encounter? | SELECT t3.drugname FROM (SELECT t2.drugname, DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS c1 FROM (SELECT patient.uniquepid, diagnosis.diagnosistime, patient.patienthealthsystemstayid FROM diagnosis JOIN patient ON diagnosis.patientunitstayid = patient.patientunitstayid WHERE diagnosis.diagnosisname = 'stroke' AND DATETIME(diagnosis.diagnosistime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-0 year')) AS t1 JOIN (SELECT patient.uniquepid, medication.drugname, medication.drugstarttime, patient.patienthealthsystemstayid FROM medication JOIN patient ON medication.patientunitstayid = patient.patientunitstayid WHERE DATETIME(medication.drugstarttime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-0 year')) AS t2 ON t1.uniquepid = t2.uniquepid WHERE t1.diagnosistime < t2.drugstarttime AND t1.patienthealthsystemstayid = t2.patienthealthsystemstayid GROUP BY t2.drugname) AS t3 WHERE t3.c1 <= 3 | WITH "t2" AS (SELECT "patient"."uniquepid", "medication"."drugname", "medication"."drugstarttime", "patient"."patienthealthsystemstayid" FROM "medication" JOIN "patient" ON "medication"."patientunitstayid" = "patient"."patientunitstayid" WHERE DATETIME("medication"."drugstarttime", 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-0 year')), "t3" AS (SELECT "t2"."drugname", DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS "c1" FROM "diagnosis" JOIN "patient" ON "diagnosis"."patientunitstayid" = "patient"."patientunitstayid" JOIN "t2" "t2" ON "diagnosis"."diagnosistime" < "t2"."drugstarttime" AND "patient"."patienthealthsystemstayid" = "t2"."patienthealthsystemstayid" AND "patient"."uniquepid" = "t2"."uniquepid" WHERE "diagnosis"."diagnosisname" = 'stroke' AND DATETIME("diagnosis"."diagnosistime", 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-0 year') GROUP BY "t2"."drugname") SELECT "t3"."drugname" FROM "t3" "t3" WHERE "t3"."c1" <= 3 | 0.951172 |
CREATE TABLE table_42312 ("Country" CLOB, "Automobile Name" CLOB, "Manufacturer" CLOB, "Engine Make/Capacity" CLOB, "Year" CLOB)
| What country had the car with the Jawa 350cc engine? | SELECT "Country" FROM table_42312 WHERE "Engine Make/Capacity" = 'jawa 350cc' | SELECT "Country" FROM "table_42312" WHERE "Engine Make/Capacity" = 'jawa 350cc' | 0.077148 |
CREATE TABLE diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime 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 d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
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 inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
CREATE TABLE outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value 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)
CREATE TABLE patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
CREATE TABLE d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto 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 d_labitems (row_id NUMBER, itemid NUMBER, label 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 microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name 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 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)
| ab nos w compl nos-inc what does it stand for? | SELECT d_icd_diagnoses.long_title FROM d_icd_diagnoses WHERE d_icd_diagnoses.short_title = 'ab nos w compl nos-inc' UNION SELECT d_icd_procedures.long_title FROM d_icd_procedures WHERE d_icd_procedures.short_title = 'ab nos w compl nos-inc' | SELECT "d_icd_diagnoses"."long_title" FROM "d_icd_diagnoses" WHERE "d_icd_diagnoses"."short_title" = 'ab nos w compl nos-inc' UNION SELECT "d_icd_procedures"."long_title" FROM "d_icd_procedures" WHERE "d_icd_procedures"."short_title" = 'ab nos w compl nos-inc' | 0.253906 |
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