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CREATE TABLE actor (Actor_ID NUMBER, Name CLOB, Musical_ID NUMBER, Character CLOB, Duration CLOB, age NUMBER)
CREATE TABLE musical (Musical_ID NUMBER, Name CLOB, Year NUMBER, Award CLOB, Category CLOB, Nominee CLOB, Result CLOB)
| Show the musical nominee with award 'Bob Fosse' or 'Cleavant Derricks', and count them by a bar chart, display by the x-axis in asc please. | SELECT Nominee, COUNT(Nominee) FROM musical WHERE Award = "Tony Award" OR Award = "Cleavant Derricks" GROUP BY Nominee ORDER BY Nominee | SELECT "Nominee", COUNT("Nominee") FROM "musical" WHERE "Award" = "Cleavant Derricks" OR "Award" = "Tony Award" GROUP BY "Nominee" ORDER BY "Nominee" | 0.145508 |
CREATE TABLE table_55978 ("School" CLOB, "Location" CLOB, "Enrolment" FLOAT, "Founded" FLOAT, "Denomination" CLOB, "Boys/Girls" CLOB, "Day/Boarding" CLOB, "School Colors" CLOB)
| WHere is the friends' school? | SELECT "Location" FROM table_55978 WHERE "School" = 'the friends'' school' | SELECT "Location" FROM "table_55978" WHERE "School" = 'the friends'' school' | 0.074219 |
CREATE TABLE club (club_id NUMBER, name CLOB, region CLOB, start_year CLOB)
CREATE TABLE competition (competition_id NUMBER, year NUMBER, competition_type CLOB, country CLOB)
CREATE TABLE club_rank (rank NUMBER, club_id NUMBER, gold NUMBER, silver NUMBER, bronze NUMBER, total NUMBER)
CREATE TABLE player (player_id NUMBER, name CLOB, position CLOB, club_id NUMBER, apps NUMBER, tries NUMBER, goals CLOB, points NUMBER)
CREATE TABLE competition_result (competition_id NUMBER, club_id_1 NUMBER, club_id_2 NUMBER, score CLOB)
| What are the names and players of all the clubs? | SELECT T1.name, T2.player_id FROM club AS T1 JOIN player AS T2 ON T1.club_id = T2.club_id | SELECT "T1"."name", "T2"."player_id" FROM "club" "T1" JOIN "player" "T2" ON "T1"."club_id" = "T2"."club_id" | 0.104492 |
CREATE TABLE table_name_43 (province VARCHAR2, _community VARCHAR2, contestant VARCHAR2)
| What is the province with a contestant of tatiana vargas rosales? | SELECT province, _community FROM table_name_43 WHERE contestant = "tatiana vargas rosales" | SELECT "province", "_community" FROM "table_name_43" WHERE "contestant" = "tatiana vargas rosales" | 0.095703 |
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 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 code_description (code VARCHAR2, description CLOB)
CREATE TABLE month (month_number NUMBER, month_name CLOB)
CREATE TABLE airport (airport_code VARCHAR2, airport_name CLOB, airport_location CLOB, state_code VARCHAR2, country_name VARCHAR2, time_zone_code VARCHAR2, minimum_connect_time NUMBER)
CREATE TABLE 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 dual_carrier (main_airline VARCHAR2, low_flight_number NUMBER, high_flight_number NUMBER, dual_airline VARCHAR2, service_name CLOB)
CREATE TABLE compartment_class (compartment VARCHAR2, class_type VARCHAR2)
CREATE TABLE date_day (month_number NUMBER, day_number NUMBER, year NUMBER, day_name VARCHAR2)
CREATE TABLE class_of_service (booking_class VARCHAR2, rank NUMBER, class_description CLOB)
CREATE TABLE ground_service (city_code CLOB, airport_code CLOB, transport_type CLOB, ground_fare NUMBER)
CREATE TABLE state (state_code CLOB, state_name CLOB, country_name CLOB)
CREATE TABLE airline (airline_code VARCHAR2, airline_name CLOB, note CLOB)
CREATE TABLE time_zone (time_zone_code CLOB, time_zone_name CLOB, hours_from_gmt NUMBER)
CREATE TABLE city (city_code VARCHAR2, city_name VARCHAR2, state_code VARCHAR2, country_name VARCHAR2, time_zone_code VARCHAR2)
CREATE TABLE equipment_sequence (aircraft_code_sequence VARCHAR2, aircraft_code VARCHAR2)
CREATE TABLE flight_fare (flight_id NUMBER, fare_id NUMBER)
CREATE TABLE time_interval (period CLOB, begin_time NUMBER, end_time NUMBER)
CREATE TABLE days (days_code VARCHAR2, 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 airport_service (city_code VARCHAR2, airport_code VARCHAR2, miles_distant NUMBER, direction VARCHAR2, minutes_distant NUMBER)
CREATE TABLE flight_leg (flight_id NUMBER, leg_number NUMBER, leg_flight NUMBER)
CREATE TABLE food_service (meal_code CLOB, meal_number NUMBER, compartment CLOB, meal_description VARCHAR2)
CREATE TABLE aircraft (aircraft_code VARCHAR2, aircraft_description VARCHAR2, manufacturer VARCHAR2, basic_type VARCHAR2, engines NUMBER, propulsion VARCHAR2, wide_body VARCHAR2, wing_span NUMBER, length NUMBER, weight NUMBER, capacity NUMBER, pay_load NUMBER, cruising_speed NUMBER, range_miles NUMBER, pressurized VARCHAR2)
CREATE TABLE 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)
| list flights from PHILADELPHIA to SAN FRANCISCO via DALLAS | SELECT DISTINCT flight.flight_id FROM airport_service AS AIRPORT_SERVICE_0, airport_service AS AIRPORT_SERVICE_1, airport_service AS AIRPORT_SERVICE_2, city AS CITY_0, city AS CITY_1, city AS CITY_2, flight, flight_stop WHERE (CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'SAN FRANCISCO' AND CITY_2.city_code = AIRPORT_SERVICE_2.city_code AND CITY_2.city_name = 'DALLAS' AND flight_stop.stop_airport = AIRPORT_SERVICE_2.airport_code AND flight.flight_id = flight_stop.flight_id AND flight.to_airport = AIRPORT_SERVICE_1.airport_code) AND CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'PHILADELPHIA' AND flight.from_airport = AIRPORT_SERVICE_0.airport_code | SELECT DISTINCT "flight"."flight_id" FROM "airport_service" "AIRPORT_SERVICE_0" JOIN "city" "CITY_0" ON "AIRPORT_SERVICE_0"."city_code" = "CITY_0"."city_code" AND "CITY_0"."city_name" = 'PHILADELPHIA' JOIN "flight" ON "AIRPORT_SERVICE_0"."airport_code" = "flight"."from_airport" JOIN "airport_service" "AIRPORT_SERVICE_1" ON "AIRPORT_SERVICE_1"."airport_code" = "flight"."to_airport" JOIN "flight_stop" ON "flight"."flight_id" = "flight_stop"."flight_id" JOIN "airport_service" "AIRPORT_SERVICE_2" ON "AIRPORT_SERVICE_2"."airport_code" = "flight_stop"."stop_airport" JOIN "city" "CITY_1" ON "AIRPORT_SERVICE_1"."city_code" = "CITY_1"."city_code" AND "CITY_1"."city_name" = 'SAN FRANCISCO' JOIN "city" "CITY_2" ON "AIRPORT_SERVICE_2"."city_code" = "CITY_2"."city_code" AND "CITY_2"."city_name" = 'DALLAS' | 0.78418 |
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 prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE 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)
| what is average age of patients whose primary disease is gangrene and admission year is greater than or equal to 2164? | SELECT AVG(demographic.age) FROM demographic WHERE demographic.diagnosis = "GANGRENE" AND demographic.admityear >= "2164" | SELECT AVG("demographic"."age") FROM "demographic" WHERE "2164" <= "demographic"."admityear" AND "GANGRENE" = "demographic"."diagnosis" | 0.131836 |
CREATE TABLE table_17323529_5 (score VARCHAR2, location_attendance VARCHAR2)
| Name the total number of score for staples center 13,266 | SELECT COUNT(score) FROM table_17323529_5 WHERE location_attendance = "Staples Center 13,266" | SELECT COUNT("score") FROM "table_17323529_5" WHERE "Staples Center 13,266" = "location_attendance" | 0.09668 |
CREATE TABLE table_22904780_1 (title VARCHAR2, us_viewers__million_ VARCHAR2)
| List the number of shows that had 12.04 million viewers in the united states | SELECT COUNT(title) FROM table_22904780_1 WHERE us_viewers__million_ = "12.04" | SELECT COUNT("title") FROM "table_22904780_1" WHERE "12.04" = "us_viewers__million_" | 0.082031 |
CREATE TABLE table_name_83 (attendance VARCHAR2, date VARCHAR2)
| How many were in Attendance on the Date May 29? | SELECT COUNT(attendance) FROM table_name_83 WHERE date = "may 29" | SELECT COUNT("attendance") FROM "table_name_83" WHERE "date" = "may 29" | 0.069336 |
CREATE TABLE table_train_99 ("id" NUMBER, "mini_mental_state_examination_mmse" NUMBER, "language" CLOB, "renal_disease" BOOLEAN, "hepatic_disease" BOOLEAN, "allergy_to_formoterol" BOOLEAN, "geriatric_depression_scale_gds" NUMBER, "NOUSE" FLOAT)
| known hypersensitivity or prior exposure to formoterol. | SELECT * FROM table_train_99 WHERE allergy_to_formoterol = 1 | SELECT * FROM "table_train_99" WHERE "allergy_to_formoterol" = 1 | 0.0625 |
CREATE TABLE table_15201 ("Tournament" CLOB, "2007" CLOB, "2008" CLOB, "2009" CLOB, "2010" CLOB, "2011" CLOB, "2012" CLOB)
| Name the tournament for 2012 grand slam tournaments | SELECT "Tournament" FROM table_15201 WHERE "2012" = 'grand slam tournaments' | SELECT "Tournament" FROM "table_15201" WHERE "2012" = 'grand slam tournaments' | 0.076172 |
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 cost (costid NUMBER, uniquepid CLOB, patienthealthsystemstayid NUMBER, eventtype CLOB, eventid NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE allergy (allergyid NUMBER, patientunitstayid NUMBER, drugname CLOB, allergyname CLOB, allergytime TIME)
CREATE TABLE microlab (microlabid NUMBER, patientunitstayid NUMBER, culturesite CLOB, organism CLOB, culturetakentime 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 intakeoutput (intakeoutputid NUMBER, patientunitstayid NUMBER, cellpath CLOB, celllabel CLOB, cellvaluenumeric NUMBER, intakeoutputtime TIME)
CREATE TABLE treatment (treatmentid NUMBER, patientunitstayid NUMBER, treatmentname CLOB, treatmenttime TIME)
CREATE TABLE lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime TIME)
| had patient 006-80884 ever had some output (ml)-closed/suction drain right pleural 19 fr.'s on the current intensive care unit visit? | SELECT COUNT(*) > 0 FROM intakeoutput WHERE intakeoutput.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '006-80884') AND patient.unitdischargetime IS NULL) AND intakeoutput.cellpath LIKE '%output%' AND intakeoutput.celllabel = 'output (ml)-closed/suction drain right pleural 19 fr.' | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '006-80884' 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 COUNT(*) > 0 FROM "intakeoutput" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "intakeoutput"."patientunitstayid" WHERE "intakeoutput"."celllabel" = 'output (ml)-closed/suction drain right pleural 19 fr.' AND "intakeoutput"."cellpath" LIKE '%output%' AND NOT "_u_1"."" IS NULL | 0.657227 |
CREATE TABLE assignedto (scientist NUMBER, project CLOB)
CREATE TABLE projects (code CLOB, name CLOB, hours NUMBER)
CREATE TABLE scientists (ssn NUMBER, name CLOB)
| What are the names of projects that require between 100 and 300 hours? | SELECT name FROM projects WHERE hours BETWEEN 100 AND 300 | SELECT "name" FROM "projects" WHERE "hours" <= 300 AND "hours" >= 100 | 0.067383 |
CREATE TABLE table_204_655 (id NUMBER, "year" NUMBER, "winner" CLOB, "album" CLOB, "other finalists" CLOB)
| who was the most recent winner ? | SELECT "winner" FROM table_204_655 ORDER BY "year" DESC LIMIT 1 | SELECT "winner" FROM "table_204_655" ORDER BY "year" DESC FETCH FIRST 1 ROWS ONLY | 0.079102 |
CREATE TABLE table_65969 ("Country" CLOB, "1951" FLOAT, "1952" FLOAT, "1953" FLOAT, "1954" FLOAT, "1955" FLOAT, "1956" FLOAT, "1957" FLOAT, "1958" FLOAT, "1959" FLOAT)
| What is the 1957 number when the 1955 is smaller than 0.63, and 1952 is larger than 0.22? | SELECT COUNT("1957") FROM table_65969 WHERE "1955" < '0.63' AND "1952" > '0.22' | SELECT COUNT("1957") FROM "table_65969" WHERE "1952" > '0.22' AND "1955" < '0.63' | 0.079102 |
CREATE TABLE table_204_914 (id NUMBER, "year" NUMBER, "team" CLOB, "games" NUMBER, "attempts" NUMBER, "yards" NUMBER, "ypc" NUMBER, "long" NUMBER, "tds" NUMBER)
| did he score more tds with the los angeles rams or with indianapolis colts ? | SELECT "team" FROM table_204_914 WHERE "team" IN ('los angeles rams', 'indianapolis colts') GROUP BY "team" ORDER BY SUM("tds") DESC LIMIT 1 | SELECT "team" FROM "table_204_914" WHERE "team" IN ('los angeles rams', 'indianapolis colts') GROUP BY "team" ORDER BY SUM("tds") DESC FETCH FIRST 1 ROWS ONLY | 0.154297 |
CREATE TABLE table_29289213_1 (australian_cast VARCHAR2, _2012 VARCHAR2, character VARCHAR2)
| Who played Lily Cahill in the Australian 2012 production? | SELECT australian_cast, _2012 FROM table_29289213_1 WHERE character = "Lily Cahill" | SELECT "australian_cast", "_2012" FROM "table_29289213_1" WHERE "Lily Cahill" = "character" | 0.088867 |
CREATE TABLE table_57770 ("Home team" CLOB, "Home team score" CLOB, "Away team" CLOB, "Away team score" CLOB, "Venue" CLOB, "Crowd" FLOAT, "Date" CLOB)
| Which Away team plays at the Venue vfl park? | SELECT "Away team" FROM table_57770 WHERE "Venue" = 'vfl park' | SELECT "Away team" FROM "table_57770" WHERE "Venue" = 'vfl park' | 0.0625 |
CREATE TABLE table_35055 ("Round" FLOAT, "Player" CLOB, "Position" CLOB, "Nationality" CLOB, "College/Junior/Club Team" CLOB)
| Which round was Brian Elder taken in? | SELECT MIN("Round") FROM table_35055 WHERE "Player" = 'brian elder' | SELECT MIN("Round") FROM "table_35055" WHERE "Player" = 'brian elder' | 0.067383 |
CREATE TABLE Reviewer (rID NUMBER, name CLOB)
CREATE TABLE Movie (mID NUMBER, title CLOB, year NUMBER, director CLOB)
CREATE TABLE Rating (rID NUMBER, mID NUMBER, stars NUMBER, ratingDate DATE)
| Draw a bar chart for what is the average number of stars that each reviewer awards for a movie?, could you display in ascending by the X-axis? | SELECT name, AVG(T1.stars) FROM Rating AS T1 JOIN Reviewer AS T2 ON T1.rID = T2.rID GROUP BY T2.name ORDER BY name | SELECT "name", AVG("T1"."stars") FROM "Rating" "T1" JOIN "Reviewer" "T2" ON "T1"."rID" = "T2"."rID" GROUP BY "T2"."name" ORDER BY "name" | 0.132813 |
CREATE TABLE table_name_6 (school VARCHAR2, round VARCHAR2)
| What school did draft pick from round 3 go to? | SELECT school FROM table_name_6 WHERE round = 3 | SELECT "school" FROM "table_name_6" WHERE "round" = 3 | 0.051758 |
CREATE TABLE table_name_59 (wins NUMBER, against VARCHAR2, losses VARCHAR2)
| How many wins for the team with more than 1282 against and fewer than 14 losses? | SELECT MIN(wins) FROM table_name_59 WHERE against > 1282 AND losses < 14 | SELECT MIN("wins") FROM "table_name_59" WHERE "against" > 1282 AND "losses" < 14 | 0.078125 |
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)
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 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 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)
CREATE TABLE medication (medicationid NUMBER, patientunitstayid NUMBER, drugname CLOB, dosage CLOB, routeadmin CLOB, drugstarttime TIME, drugstoptime TIME)
| when did patient 015-21757 first have maximum sao2 on 11/18/last year? | SELECT vitalperiodic.observationtime FROM vitalperiodic WHERE vitalperiodic.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '015-21757')) AND NOT vitalperiodic.sao2 IS NULL AND DATETIME(vitalperiodic.observationtime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year') AND STRFTIME('%m-%d', vitalperiodic.observationtime) = '11-18' ORDER BY vitalperiodic.sao2 DESC, vitalperiodic.observationtime LIMIT 1 | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '015-21757' 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 "vitalperiodic"."observationtime" FROM "vitalperiodic" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "vitalperiodic"."patientunitstayid" WHERE DATETIME("vitalperiodic"."observationtime", 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year') AND NOT "_u_1"."" IS NULL AND NOT "vitalperiodic"."sao2" IS NULL AND STRFTIME('%m-%d', "vitalperiodic"."observationtime") = '11-18' ORDER BY "vitalperiodic"."sao2" DESC, "vitalperiodic"."observationtime" FETCH FIRST 1 ROWS ONLY | 0.821289 |
CREATE TABLE table_19381 ("Country" CLOB, "Local Name" CLOB, "Host" CLOB, "Channel" CLOB, "Year Aired" CLOB, "Top Prize" CLOB)
| Which Country is the show aired on Fox? | SELECT "Country" FROM table_19381 WHERE "Channel" = 'Fox' | SELECT "Country" FROM "table_19381" WHERE "Channel" = 'Fox' | 0.057617 |
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)
| Show me acc_percent by all road in a histogram, show from high to low by the X please. | SELECT All_Road, ACC_Percent FROM basketball_match ORDER BY All_Road DESC | SELECT "All_Road", "ACC_Percent" FROM "basketball_match" ORDER BY "All_Road" DESC | 0.079102 |
CREATE TABLE type_of_restaurant (resid NUMBER, restypeid NUMBER)
CREATE TABLE restaurant (resid NUMBER, resname CLOB, address CLOB, rating NUMBER)
CREATE TABLE restaurant_type (restypeid NUMBER, restypename CLOB, restypedescription CLOB)
CREATE TABLE visits_restaurant (stuid NUMBER, resid NUMBER, time TIME, spent NUMBER)
CREATE TABLE student (stuid NUMBER, lname CLOB, fname CLOB, age NUMBER, sex CLOB, major NUMBER, advisor NUMBER, city_code CLOB)
| How many times has the student Linda Smith visited Subway? | SELECT COUNT(*) FROM student JOIN visits_restaurant ON student.stuid = visits_restaurant.stuid JOIN restaurant ON visits_restaurant.resid = restaurant.resid WHERE student.fname = "Linda" AND student.lname = "Smith" AND restaurant.resname = "Subway" | SELECT COUNT(*) FROM "student" JOIN "visits_restaurant" ON "student"."stuid" = "visits_restaurant"."stuid" JOIN "restaurant" ON "Subway" = "restaurant"."resname" AND "restaurant"."resid" = "visits_restaurant"."resid" WHERE "Linda" = "student"."fname" AND "Smith" = "student"."lname" | 0.275391 |
CREATE TABLE table_26897 ("Team" CLOB, "Truck ( s ) " CLOB, "#" FLOAT, "Driver ( s ) " CLOB, "Primary Sponsor ( s ) " CLOB, "Listed Owner ( s ) " CLOB, "Crew Chief" CLOB)
| Name the crew chief for rhonda thorson | SELECT "Crew Chief" FROM table_26897 WHERE "Listed Owner(s)" = 'Rhonda Thorson' | SELECT "Crew Chief" FROM "table_26897" WHERE "Listed Owner(s)" = 'Rhonda Thorson' | 0.079102 |
CREATE TABLE department (dept_code CLOB, dept_name CLOB, school_code CLOB, emp_num NUMBER, dept_address CLOB, dept_extension CLOB)
CREATE TABLE professor (emp_num NUMBER, dept_code CLOB, prof_office CLOB, prof_extension CLOB, prof_high_degree CLOB)
CREATE TABLE employee (emp_num NUMBER, emp_lname CLOB, emp_fname CLOB, emp_initial CLOB, emp_jobcode CLOB, emp_hiredate TIME, emp_dob TIME)
CREATE TABLE class (class_code CLOB, crs_code CLOB, class_section CLOB, class_time CLOB, class_room CLOB, prof_num NUMBER)
CREATE TABLE enroll (class_code CLOB, stu_num NUMBER, enroll_grade CLOB)
CREATE TABLE course (crs_code CLOB, dept_code CLOB, crs_description CLOB, crs_credit NUMBER)
CREATE TABLE student (stu_num NUMBER, stu_lname CLOB, stu_fname CLOB, stu_init CLOB, stu_dob TIME, stu_hrs NUMBER, stu_class CLOB, stu_gpa NUMBER, stu_transfer NUMBER, dept_code CLOB, stu_phone CLOB, prof_num NUMBER)
| What is the last name of the student who received an A in the class with the code 10018? | SELECT T1.stu_lname FROM student AS T1 JOIN enroll AS T2 ON T1.stu_num = T2.stu_num WHERE T2.enroll_grade = 'A' AND T2.class_code = 10018 | SELECT "T1"."stu_lname" FROM "student" "T1" JOIN "enroll" "T2" ON "T1"."stu_num" = "T2"."stu_num" AND "T2"."class_code" = 10018 AND "T2"."enroll_grade" = 'A' | 0.15332 |
CREATE TABLE table_65875 ("World record" CLOB, "Snatch" CLOB, "Andrei Rybakou ( BLR ) " CLOB, "187kg" CLOB, "Chiang Mai , Thailand" CLOB)
| Which world record has a 187kg of 392kg? | SELECT "World record" FROM table_65875 WHERE "187kg" = '392kg' | SELECT "World record" FROM "table_65875" WHERE "187kg" = '392kg' | 0.0625 |
CREATE TABLE table_204_371 (id NUMBER, "team" CLOB, "competition" CLOB, "category" CLOB, "appearances\ start" NUMBER, "appearances\ sub" NUMBER, "goals" NUMBER, "team record" CLOB)
| what was yoichiro kakitani 's first major competition ? | SELECT "competition" FROM table_204_371 ORDER BY id LIMIT 1 | SELECT "competition" FROM "table_204_371" ORDER BY "id" FETCH FIRST 1 ROWS ONLY | 0.077148 |
CREATE TABLE table_64104 ("School" CLOB, "Location" CLOB, "Mascot" CLOB, "Size" FLOAT, "IHSAA Class" CLOB, "# / County" CLOB, "Year Joined" FLOAT, "Previous Conference" CLOB)
| What's the size of Centerville in 89 Wayne county with an IHSAA class of AA in the year before 1974? | SELECT "Size" FROM table_64104 WHERE "Year Joined" < '1974' AND "IHSAA Class" = 'aa' AND "# / County" = '89 wayne' AND "School" = 'centerville' | SELECT "Size" FROM "table_64104" WHERE "# / County" = '89 wayne' AND "IHSAA Class" = 'aa' AND "School" = 'centerville' AND "Year Joined" < '1974' | 0.141602 |
CREATE TABLE table_name_25 (drawn NUMBER, games NUMBER)
| What is the fewest ties the team had with fewer than 7 games? | SELECT MIN(drawn) FROM table_name_25 WHERE games < 7 | SELECT MIN("drawn") FROM "table_name_25" WHERE "games" < 7 | 0.056641 |
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
| Specify the total number of patients who had suture bladder lacerat and a death status of unspecified | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.expire_flag = "0" AND procedures.short_title = "Suture bladder lacerat" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "procedures" ON "Suture bladder lacerat" = "procedures"."short_title" AND "demographic"."hadm_id" = "procedures"."hadm_id" WHERE "0" = "demographic"."expire_flag" | 0.230469 |
CREATE TABLE table_204_68 (id NUMBER, "name" CLOB, "profession" CLOB, "hometown" CLOB, "term expires" NUMBER, "office" CLOB)
| total number of members from lawton and oklahoma city | SELECT COUNT("name") FROM table_204_68 WHERE "hometown" IN ('lawton', 'oklahoma city') | SELECT COUNT("name") FROM "table_204_68" WHERE "hometown" IN ('lawton', 'oklahoma city') | 0.085938 |
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE 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 diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
| give me the number of patients whose primary disease is liver transplant and days of hospital stay is greater than 8? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.diagnosis = "LIVER TRANSPLANT" AND demographic.days_stay > "8" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "8" < "demographic"."days_stay" AND "LIVER TRANSPLANT" = "demographic"."diagnosis" | 0.15332 |
CREATE TABLE table_name_29 (date VARCHAR2, score_in_final VARCHAR2)
| What date was the score 6 7(9), 6 2, (10 7)? | SELECT date FROM table_name_29 WHERE score_in_final = "6–7(9), 6–2, (10–7)" | SELECT "date" FROM "table_name_29" WHERE "6–7(9), 6–2, (10–7)" = "score_in_final" | 0.079102 |
CREATE TABLE table_name_31 (post NUMBER, jockey VARCHAR2)
| What is the lowest post number for calvin borel? | SELECT MIN(post) FROM table_name_31 WHERE jockey = "calvin borel" | SELECT MIN("post") FROM "table_name_31" WHERE "calvin borel" = "jockey" | 0.069336 |
CREATE TABLE d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
CREATE TABLE chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
CREATE TABLE d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
CREATE TABLE d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE icustays (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, first_careunit CLOB, last_careunit CLOB, first_wardid NUMBER, last_wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE transfers (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, eventtype CLOB, careunit CLOB, wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
CREATE TABLE labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE prescriptions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, startdate TIME, enddate TIME, drug CLOB, dose_val_rx CLOB, dose_unit_rx CLOB, route CLOB)
CREATE TABLE admissions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, admittime TIME, dischtime TIME, admission_type CLOB, admission_location CLOB, discharge_location CLOB, insurance CLOB, language CLOB, marital_status CLOB, ethnicity CLOB, age NUMBER)
CREATE TABLE cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
CREATE TABLE microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
CREATE TABLE procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
| what was the first value of an mch lab test in patient 17953? | SELECT labevents.valuenum FROM labevents WHERE labevents.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 17953) AND labevents.itemid IN (SELECT d_labitems.itemid FROM d_labitems WHERE d_labitems.label = 'mch') ORDER BY labevents.charttime LIMIT 1 | WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 17953 GROUP BY "hadm_id"), "_u_1" AS (SELECT "d_labitems"."itemid" FROM "d_labitems" WHERE "d_labitems"."label" = 'mch' GROUP BY "itemid") SELECT "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 ORDER BY "labevents"."charttime" FETCH FIRST 1 ROWS ONLY | 0.50293 |
CREATE TABLE table_38107 ("Orbital regime" CLOB, "Launches" FLOAT, "Successes" FLOAT, "Failures" FLOAT, "Accidentally Achieved" FLOAT)
| What is the total failures of heliocentric orbit orbital regimes and launches less than 1? | SELECT SUM("Failures") FROM table_38107 WHERE "Orbital regime" = 'heliocentric orbit' AND "Launches" < '1' | SELECT SUM("Failures") FROM "table_38107" WHERE "Launches" < '1' AND "Orbital regime" = 'heliocentric orbit' | 0.105469 |
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE 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 diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
| how many female patients were born before the year 2080? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.gender = "F" AND demographic.dob_year < "2080" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "2080" > "demographic"."dob_year" AND "F" = "demographic"."gender" | 0.137695 |
CREATE TABLE table_204_524 (id NUMBER, "season" CLOB, "tier" NUMBER, "division" CLOB, "place" CLOB)
| what is the only season they were in 19th place ? | SELECT "season" FROM table_204_524 WHERE "place" = 19 | SELECT "season" FROM "table_204_524" WHERE "place" = 19 | 0.053711 |
CREATE TABLE table_5503 ("Week" FLOAT, "Date" CLOB, "Opponent" CLOB, "Result" CLOB, "Attendance" FLOAT)
| Who was the opponent on November 11, 1951? | SELECT "Opponent" FROM table_5503 WHERE "Date" = 'november 11, 1951' | SELECT "Opponent" FROM "table_5503" WHERE "Date" = 'november 11, 1951' | 0.068359 |
CREATE TABLE table_8868 ("Place" CLOB, "Player" CLOB, "Country" CLOB, "Score" CLOB, "To par" CLOB, "Money ( $ ) " FLOAT)
| Where did Calvin Peete of the United States place? | SELECT "Place" FROM table_8868 WHERE "Country" = 'united states' AND "Player" = 'calvin peete' | SELECT "Place" FROM "table_8868" WHERE "Country" = 'united states' AND "Player" = 'calvin peete' | 0.09375 |
CREATE TABLE table_name_83 (venue VARCHAR2, away_team VARCHAR2)
| Where did South Melbourne play? | SELECT venue FROM table_name_83 WHERE away_team = "south melbourne" | SELECT "venue" FROM "table_name_83" WHERE "away_team" = "south melbourne" | 0.071289 |
CREATE TABLE table_65441 ("Position" CLOB, "Drivers" CLOB, "Entrant" CLOB, "Class" CLOB, "Laps" FLOAT)
| For what class is the laps 66? | SELECT "Class" FROM table_65441 WHERE "Laps" = '66' | SELECT "Class" FROM "table_65441" WHERE "Laps" = '66' | 0.051758 |
CREATE TABLE table_71855 ("Team 1" CLOB, "Agg." CLOB, "Team 2" CLOB, "1st leg" CLOB, "2nd leg" CLOB)
| Which 2nd leg has a 1st leg of 1-1 and is Team 1 djoliba ac? | SELECT "2nd leg" FROM table_71855 WHERE "1st leg" = '1-1' AND "Team 1" = 'djoliba ac' | SELECT "2nd leg" FROM "table_71855" WHERE "1st leg" = '1-1' AND "Team 1" = 'djoliba ac' | 0.084961 |
CREATE TABLE table_name_39 (series VARCHAR2, editor VARCHAR2, albums VARCHAR2)
| Which series with a total of 27 albums did Dargaud edit? | SELECT series FROM table_name_39 WHERE editor = "dargaud" AND albums = "27" | SELECT "series" FROM "table_name_39" WHERE "27" = "albums" AND "dargaud" = "editor" | 0.081055 |
CREATE TABLE table_3188 ("Episode #" FLOAT, "Production Count" FLOAT, "Original Airdate" CLOB, "Prod. Code" CLOB, "Title" CLOB, "Viewing figures millions" CLOB)
| How many millions of people watched the episode with a production code of icec483x? | SELECT "Viewing figures millions" FROM table_3188 WHERE "Prod. Code" = 'ICEC483X' | SELECT "Viewing figures millions" FROM "table_3188" WHERE "Prod. Code" = 'ICEC483X' | 0.081055 |
CREATE TABLE table_name_14 (opponent VARCHAR2, record VARCHAR2)
| Which opponent led to a 6-3 record? | SELECT opponent FROM table_name_14 WHERE record = "6-3" | SELECT "opponent" FROM "table_name_14" WHERE "6-3" = "record" | 0.05957 |
CREATE TABLE flight_leg (flight_id NUMBER, leg_number NUMBER, leg_flight NUMBER)
CREATE TABLE fare (fare_id NUMBER, from_airport VARCHAR2, to_airport VARCHAR2, fare_basis_code CLOB, fare_airline CLOB, restriction_code CLOB, one_direction_cost NUMBER, round_trip_cost NUMBER, round_trip_required VARCHAR2)
CREATE TABLE month (month_number NUMBER, month_name CLOB)
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 code_description (code VARCHAR2, description CLOB)
CREATE TABLE dual_carrier (main_airline VARCHAR2, low_flight_number NUMBER, high_flight_number NUMBER, dual_airline VARCHAR2, service_name CLOB)
CREATE TABLE time_interval (period CLOB, begin_time NUMBER, end_time NUMBER)
CREATE TABLE fare_basis (fare_basis_code CLOB, booking_class CLOB, class_type CLOB, premium CLOB, economy CLOB, discounted CLOB, night CLOB, season CLOB, basis_days CLOB)
CREATE TABLE flight_fare (flight_id NUMBER, fare_id NUMBER)
CREATE TABLE state (state_code CLOB, state_name CLOB, country_name CLOB)
CREATE TABLE airport (airport_code VARCHAR2, airport_name CLOB, airport_location CLOB, state_code VARCHAR2, country_name VARCHAR2, time_zone_code VARCHAR2, minimum_connect_time NUMBER)
CREATE TABLE 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 city (city_code VARCHAR2, city_name VARCHAR2, state_code VARCHAR2, country_name VARCHAR2, time_zone_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 airline (airline_code VARCHAR2, airline_name CLOB, note CLOB)
CREATE TABLE class_of_service (booking_class VARCHAR2, rank NUMBER, class_description CLOB)
CREATE TABLE days (days_code VARCHAR2, day_name VARCHAR2)
CREATE TABLE time_zone (time_zone_code CLOB, time_zone_name CLOB, hours_from_gmt NUMBER)
CREATE TABLE flight_stop (flight_id NUMBER, stop_number NUMBER, stop_days CLOB, stop_airport CLOB, arrival_time NUMBER, arrival_airline CLOB, arrival_flight_number NUMBER, departure_time NUMBER, departure_airline CLOB, departure_flight_number NUMBER, stop_time NUMBER)
CREATE TABLE compartment_class (compartment VARCHAR2, class_type VARCHAR2)
CREATE TABLE ground_service (city_code CLOB, airport_code CLOB, transport_type CLOB, ground_fare NUMBER)
CREATE TABLE airport_service (city_code VARCHAR2, airport_code VARCHAR2, miles_distant NUMBER, direction VARCHAR2, minutes_distant NUMBER)
CREATE TABLE food_service (meal_code CLOB, meal_number NUMBER, compartment CLOB, meal_description VARCHAR2)
CREATE TABLE equipment_sequence (aircraft_code_sequence VARCHAR2, aircraft_code VARCHAR2)
CREATE TABLE date_day (month_number NUMBER, day_number NUMBER, year NUMBER, day_name VARCHAR2)
| how many UA flights are there from SAN FRANCISCO please | SELECT COUNT(DISTINCT flight.flight_id) FROM airport_service, city, flight WHERE city.city_code = airport_service.city_code AND city.city_name = 'SAN FRANCISCO' AND flight.airline_code = 'UA' AND flight.from_airport = airport_service.airport_code | SELECT COUNT(DISTINCT "flight"."flight_id") FROM "airport_service" JOIN "city" ON "airport_service"."city_code" = "city"."city_code" AND "city"."city_name" = 'SAN FRANCISCO' JOIN "flight" ON "airport_service"."airport_code" = "flight"."from_airport" AND "flight"."airline_code" = 'UA' | 0.277344 |
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 prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
| which patients had open and other left hemicolectomy? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE procedures.short_title = "Opn lft hemicolectmy NEC" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "procedures" ON "Opn lft hemicolectmy NEC" = "procedures"."short_title" AND "demographic"."hadm_id" = "procedures"."hadm_id" | 0.193359 |
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
| get the number of patients with base type drug prescription who have diagnoses icd9 code 6959. | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE diagnoses.icd9_code = "6959" AND prescriptions.drug_type = "BASE" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "6959" = "diagnoses"."icd9_code" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" JOIN "prescriptions" ON "BASE" = "prescriptions"."drug_type" AND "demographic"."hadm_id" = "prescriptions"."hadm_id" | 0.283203 |
CREATE TABLE table_9029 ("Date" CLOB, "Time" CLOB, "ACC Team" CLOB, "Big Ten Team" CLOB, "Location" CLOB, "Television" CLOB, "Attendance" FLOAT, "Winner" CLOB, "Challenge Leader" CLOB)
| Who is the challenge leader that played on 9:30 pm on Wed., Nov. 28? | SELECT "Challenge Leader" FROM table_9029 WHERE "Time" = '9:30 pm' AND "Date" = 'wed., nov. 28' | SELECT "Challenge Leader" FROM "table_9029" WHERE "Date" = 'wed., nov. 28' AND "Time" = '9:30 pm' | 0.094727 |
CREATE TABLE status (station_id NUMBER, bikes_available NUMBER, docks_available NUMBER, time CLOB)
CREATE TABLE station (id NUMBER, name CLOB, lat NUMBER, long NUMBER, dock_count NUMBER, city CLOB, installation_date CLOB)
CREATE TABLE trip (id NUMBER, duration NUMBER, start_date CLOB, start_station_name CLOB, start_station_id NUMBER, end_date CLOB, end_station_name CLOB, end_station_id NUMBER, bike_id NUMBER, subscription_type CLOB, zip_code NUMBER)
CREATE TABLE weather (date CLOB, max_temperature_f NUMBER, mean_temperature_f NUMBER, min_temperature_f NUMBER, max_dew_point_f NUMBER, mean_dew_point_f NUMBER, min_dew_point_f NUMBER, max_humidity NUMBER, mean_humidity NUMBER, min_humidity NUMBER, max_sea_level_pressure_inches NUMBER, mean_sea_level_pressure_inches NUMBER, min_sea_level_pressure_inches NUMBER, max_visibility_miles NUMBER, mean_visibility_miles NUMBER, min_visibility_miles NUMBER, max_wind_speed_mph NUMBER, mean_wind_speed_mph NUMBER, max_gust_speed_mph NUMBER, precipitation_inches NUMBER, cloud_cover NUMBER, events CLOB, wind_dir_degrees NUMBER, zip_code NUMBER)
| For each end station id, what is its name, latitude, and minimum duration for trips ended there? | SELECT T1.name, T1.lat, MIN(T2.duration) FROM station AS T1 JOIN trip AS T2 ON T1.id = T2.end_station_id GROUP BY T2.end_station_id | SELECT "T1"."name", "T1"."lat", MIN("T2"."duration") FROM "station" "T1" JOIN "trip" "T2" ON "T1"."id" = "T2"."end_station_id" GROUP BY "T2"."end_station_id" | 0.15332 |
CREATE TABLE table_22444 ("Position" FLOAT, "Team" CLOB, "Played" FLOAT, "Wins" FLOAT, "Draws" FLOAT, "Losses" FLOAT, "Scored" FLOAT, "Conceded" FLOAT, "Points" FLOAT)
| How many points when the score is 14? | SELECT MIN("Points") FROM table_22444 WHERE "Scored" = '14' | SELECT MIN("Points") FROM "table_22444" WHERE "Scored" = '14' | 0.05957 |
CREATE TABLE table_16865 ("Player" CLOB, "No." CLOB, "Nationality" CLOB, "Position" CLOB, "Years for Jazz" CLOB, "School/Club Team" CLOB)
| Which player is no. 53? | SELECT "Player" FROM table_16865 WHERE "No." = '53' | SELECT "Player" FROM "table_16865" WHERE "No." = '53' | 0.051758 |
CREATE TABLE table_3942 ("Finish" FLOAT, "Start" FLOAT, "Car" FLOAT, "Driver" CLOB, "Make" CLOB, "Sponsor" CLOB, "Pts/bns" CLOB, "Laps" FLOAT, "Status" CLOB, "Winnings" FLOAT)
| What car make was sponsored by Aflac? | SELECT "Make" FROM table_3942 WHERE "Sponsor" = 'Aflac' | SELECT "Make" FROM "table_3942" WHERE "Sponsor" = 'Aflac' | 0.055664 |
CREATE TABLE ReviewTaskTypes (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 Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount NUMBER)
CREATE TABLE Users (Id NUMBER, Reputation NUMBER, CreationDate TIME, DisplayName CLOB, LastAccessDate TIME, WebsiteUrl CLOB, Location CLOB, AboutMe CLOB, Views NUMBER, UpVotes NUMBER, DownVotes NUMBER, ProfileImageUrl CLOB, EmailHash CLOB, AccountId NUMBER)
CREATE TABLE PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId NUMBER)
CREATE TABLE ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
CREATE TABLE PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
CREATE TABLE ReviewTaskStates (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId NUMBER)
CREATE TABLE Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
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 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 FlagTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE SuggestedEdits (Id NUMBER, PostId NUMBER, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId NUMBER, Comment CLOB, Text CLOB, Title CLOB, Tags CLOB, RevisionGUID other)
CREATE TABLE PostTypes (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 ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId NUMBER)
CREATE TABLE VoteTypes (Id NUMBER, Name CLOB)
CREATE TABLE ReviewTaskResultTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
CREATE TABLE Comments (Id NUMBER, PostId NUMBER, Score NUMBER, Text CLOB, CreationDate TIME, UserDisplayName CLOB, UserId NUMBER, ContentLicense CLOB)
CREATE TABLE Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
CREATE TABLE PostHistoryTypes (Id NUMBER, Name CLOB)
CREATE TABLE PostTags (PostId NUMBER, TagId NUMBER)
CREATE TABLE SuggestedEditVotes (Id NUMBER, SuggestedEditId NUMBER, UserId NUMBER, VoteTypeId NUMBER, CreationDate TIME, TargetUserId NUMBER, TargetRepChange 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 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 CloseReasonTypes (Id NUMBER, Name CLOB, Description CLOB)
| select top 10 * from posts. | SELECT * FROM Posts LIMIT 10 | SELECT * FROM "Posts" FETCH FIRST 10 ROWS ONLY | 0.044922 |
CREATE TABLE table_42008 ("Member State" CLOB, "Population in millions" FLOAT, "Population % of EU" CLOB, "Area km 2" FLOAT, "Area % of EU" CLOB, "Pop. density People/km 2" FLOAT)
| What is the total number of area km2 with a 4.2 population in millions and is a member state of the Czech Republic? | SELECT COUNT("Area km 2") FROM table_42008 WHERE "Population in millions" > '4.2' AND "Member State" = 'czech republic' | SELECT COUNT("Area km 2") FROM "table_42008" WHERE "Member State" = 'czech republic' AND "Population in millions" > '4.2' | 0.118164 |
CREATE TABLE table_53833 ("Year" CLOB, "Winner" CLOB, "Jockey" CLOB, "Trainer" CLOB, "Owner" CLOB, "Distance" CLOB, "Time" CLOB, "Purse" CLOB)
| What year did jockey Ramon Dominguez have a distance of 1-1/16? | SELECT "Year" FROM table_53833 WHERE "Distance" = '1-1/16' AND "Jockey" = 'ramon dominguez' | SELECT "Year" FROM "table_53833" WHERE "Distance" = '1-1/16' AND "Jockey" = 'ramon dominguez' | 0.09082 |
CREATE TABLE table_60646 ("Date" CLOB, "Opponent" CLOB, "Score" CLOB, "Decision" CLOB, "Attendance" FLOAT, "Record" CLOB)
| For the game ending with a record of 31-43-2, what was the decision? | SELECT "Decision" FROM table_60646 WHERE "Record" = '31-43-2' | SELECT "Decision" FROM "table_60646" WHERE "Record" = '31-43-2' | 0.061523 |
CREATE TABLE table_54532 ("Pts Rank" CLOB, "Club" CLOB, "Appearances vs Seasons" CLOB, "Appearances Percetages" CLOB, "PPG Rank" CLOB)
| What is the points ranking of Chicago Fire? | SELECT "Pts Rank" FROM table_54532 WHERE "Club" = 'chicago fire' | SELECT "Pts Rank" FROM "table_54532" WHERE "Club" = 'chicago fire' | 0.064453 |
CREATE TABLE table_73860 ("Constituency" CLOB, "Candidate" CLOB, "Affiliation" CLOB, "Votes -cast" FLOAT, "Result - %" CLOB, "Loss/gain" CLOB)
| Who as the candidate when the result - % was 2.9%? | SELECT "Candidate" FROM table_73860 WHERE "Result - %" = '2.9%' | SELECT "Candidate" FROM "table_73860" WHERE "Result - %" = '2.9%' | 0.063477 |
CREATE TABLE table_38266 ("Driver" CLOB, "Season" CLOB, "Entries" FLOAT, "Front row starts" FLOAT, "Percentage" CLOB)
| What were the total number of entries in 2001 that had a front row smaller than 13? | SELECT COUNT("Entries") FROM table_38266 WHERE "Season" = '2001' AND "Front row starts" < '13' | SELECT COUNT("Entries") FROM "table_38266" WHERE "Front row starts" < '13' AND "Season" = '2001' | 0.09375 |
CREATE TABLE table_19804 ("#" FLOAT, "Episode" CLOB, "Writer" CLOB, "Director" CLOB, "Original air date" CLOB, "Viewing figure" CLOB)
| Who is the director of the episode at entry number 13? | SELECT "Director" FROM table_19804 WHERE "#" = '13' | SELECT "Director" FROM "table_19804" WHERE "#" = '13' | 0.051758 |
CREATE TABLE table_56758 ("Round" FLOAT, "Pick" FLOAT, "Name" CLOB, "Position" CLOB, "School" CLOB)
| What pick had a wide receiver named johnny holloway? | SELECT "Pick" FROM table_56758 WHERE "Position" = 'wide receiver' AND "Name" = 'johnny holloway' | SELECT "Pick" FROM "table_56758" WHERE "Name" = 'johnny holloway' AND "Position" = 'wide receiver' | 0.095703 |
CREATE TABLE table_name_19 (home_team VARCHAR2, away_team VARCHAR2)
| Which home teams had Geelong as the away team? | SELECT home_team FROM table_name_19 WHERE away_team = "geelong" | SELECT "home_team" FROM "table_name_19" WHERE "away_team" = "geelong" | 0.067383 |
CREATE TABLE table_58192 ("Home team" CLOB, "Home team score" CLOB, "Away team" CLOB, "Away team score" CLOB, "Venue" CLOB, "Crowd" FLOAT, "Date" CLOB)
| Which home team played against Geelong? | SELECT "Home team" FROM table_58192 WHERE "Away team" = 'geelong' | SELECT "Home team" FROM "table_58192" WHERE "Away team" = 'geelong' | 0.06543 |
CREATE TABLE table_2618152_1 (production_code VARCHAR2, original_air_date VARCHAR2)
| The episode with the original air date January 6, 1999, has what production code? | SELECT production_code FROM table_2618152_1 WHERE original_air_date = "January 6, 1999" | SELECT "production_code" FROM "table_2618152_1" WHERE "January 6, 1999" = "original_air_date" | 0.09082 |
CREATE TABLE table_name_78 (result VARCHAR2, actor VARCHAR2, year VARCHAR2, category VARCHAR2)
| What is the result of Samantha Morton being up for best supporting actress in a year later than 1989? | SELECT result FROM table_name_78 WHERE year > 1989 AND category = "best supporting actress" AND actor = "samantha morton" | SELECT "result" FROM "table_name_78" WHERE "actor" = "samantha morton" AND "best supporting actress" = "category" AND "year" > 1989 | 0.12793 |
CREATE TABLE table_12142298_2 (rightfielder VARCHAR2, starting_pitcher VARCHAR2)
| Who was the RF when the SP was vicente padilla? | SELECT rightfielder FROM table_12142298_2 WHERE starting_pitcher = "Vicente Padilla" | SELECT "rightfielder" FROM "table_12142298_2" WHERE "Vicente Padilla" = "starting_pitcher" | 0.087891 |
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 patients from hispanic/latino ethnic origin had open incis hern-grft nec? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.ethnicity = "HISPANIC/LATINO - PUERTO RICAN" AND procedures.short_title = "Open incis hern-grft NEC" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "procedures" ON "Open incis hern-grft NEC" = "procedures"."short_title" AND "demographic"."hadm_id" = "procedures"."hadm_id" WHERE "HISPANIC/LATINO - PUERTO RICAN" = "demographic"."ethnicity" | 0.258789 |
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 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 d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
CREATE TABLE d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title 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 patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
CREATE TABLE chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE 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 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 admissions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, admittime TIME, dischtime TIME, admission_type CLOB, admission_location CLOB, discharge_location CLOB, insurance CLOB, language CLOB, marital_status CLOB, ethnicity CLOB, age NUMBER)
CREATE TABLE cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE 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)
| in their first hospital visit, has patient 59941 received a aortocoronary bypass diagnosis? | SELECT COUNT(*) > 0 FROM diagnoses_icd WHERE diagnoses_icd.icd9_code = (SELECT d_icd_diagnoses.icd9_code FROM d_icd_diagnoses WHERE d_icd_diagnoses.short_title = 'aortocoronary bypass') AND diagnoses_icd.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 59941 AND NOT admissions.dischtime IS NULL ORDER BY admissions.admittime LIMIT 1) | WITH "_u_1" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 59941 AND NOT "admissions"."dischtime" IS NULL GROUP BY "hadm_id" ORDER BY "admissions"."admittime" FETCH FIRST 1 ROWS ONLY) SELECT COUNT(*) > 0 FROM "diagnoses_icd" JOIN "d_icd_diagnoses" ON "d_icd_diagnoses"."icd9_code" = "diagnoses_icd"."icd9_code" AND "d_icd_diagnoses"."short_title" = 'aortocoronary bypass' LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "diagnoses_icd"."hadm_id" WHERE NOT "_u_1"."" IS NULL | 0.491211 |
CREATE TABLE table_12455 ("Week" FLOAT, "Date" CLOB, "Opponent" CLOB, "Result" CLOB, "Game site" CLOB, "Record" CLOB, "Attendance" FLOAT)
| What is the lowest attendance on October 3, 1965? | SELECT MIN("Attendance") FROM table_12455 WHERE "Date" = 'october 3, 1965' | SELECT MIN("Attendance") FROM "table_12455" WHERE "Date" = 'october 3, 1965' | 0.074219 |
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 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)
| give me the number of patients whose primary disease is liver transplant and procedure short title is skin & subq dx proc nec? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.diagnosis = "LIVER TRANSPLANT" AND procedures.short_title = "Skin & subq dx proc NEC" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "procedures" ON "Skin & subq dx proc NEC" = "procedures"."short_title" AND "demographic"."hadm_id" = "procedures"."hadm_id" WHERE "LIVER TRANSPLANT" = "demographic"."diagnosis" | 0.244141 |
CREATE TABLE workshop (Workshop_ID NUMBER, Date CLOB, Venue CLOB, Name CLOB)
CREATE TABLE submission (Submission_ID NUMBER, Scores FLOAT, Author CLOB, College CLOB)
CREATE TABLE Acceptance (Submission_ID NUMBER, Workshop_ID NUMBER, Result CLOB)
| How many workshops did each author submit to? Return the author name and the number of workshops in a bar chart, and could you display by the X in asc? | SELECT Author, COUNT(DISTINCT T1.Workshop_ID) FROM Acceptance AS T1 JOIN submission AS T2 ON T1.Submission_ID = T2.Submission_ID ORDER BY Author | SELECT "Author", COUNT(DISTINCT "T1"."Workshop_ID") FROM "Acceptance" "T1" JOIN "submission" "T2" ON "T1"."Submission_ID" = "T2"."Submission_ID" ORDER BY "Author" | 0.158203 |
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 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 intakeoutput (intakeoutputid NUMBER, patientunitstayid NUMBER, cellpath CLOB, celllabel CLOB, cellvaluenumeric NUMBER, intakeoutputtime 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 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 cost (costid NUMBER, uniquepid CLOB, patienthealthsystemstayid NUMBER, eventtype CLOB, eventid NUMBER, chargetime TIME, cost NUMBER)
| how many times has patient 005-9883 got an enteral tube intake: nasoduodenal nostril, r until 03/13/2101? | SELECT COUNT(*) FROM intakeoutput WHERE intakeoutput.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '005-9883')) AND intakeoutput.cellpath LIKE '%intake%' AND intakeoutput.celllabel = 'enteral tube intake: nasoduodenal nostril, r' AND STRFTIME('%y-%m-%d', intakeoutput.intakeoutputtime) <= '2101-03-13' | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '005-9883' GROUP BY "patienthealthsystemstayid"), "_u_1" AS (SELECT "patient"."patientunitstayid" FROM "patient" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "patient"."patienthealthsystemstayid" WHERE NOT "_u_0"."" IS NULL GROUP BY "patientunitstayid") SELECT COUNT(*) FROM "intakeoutput" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "intakeoutput"."patientunitstayid" WHERE "intakeoutput"."celllabel" = 'enteral tube intake: nasoduodenal nostril, r' AND "intakeoutput"."cellpath" LIKE '%intake%' AND NOT "_u_1"."" IS NULL AND STRFTIME('%y-%m-%d', "intakeoutput"."intakeoutputtime") <= '2101-03-13' | 0.676758 |
CREATE TABLE table_16636344_1 (playoffs VARCHAR2, year VARCHAR2)
| What was the team's playoff status in 2011? | SELECT playoffs FROM table_16636344_1 WHERE year = "2011" | SELECT "playoffs" FROM "table_16636344_1" WHERE "2011" = "year" | 0.061523 |
CREATE TABLE table_65461 ("Pick" FLOAT, "Team" CLOB, "Player" CLOB, "Position" CLOB, "College" CLOB)
| What pick number did the linebacker from the denver broncos get? | SELECT "Pick" FROM table_65461 WHERE "Position" = 'linebacker' AND "Team" = 'denver broncos' | SELECT "Pick" FROM "table_65461" WHERE "Position" = 'linebacker' AND "Team" = 'denver broncos' | 0.091797 |
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
CREATE TABLE d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE 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 chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE 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 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 cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost 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 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_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto 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 name of the intake that patient 1784 first had today? | SELECT d_items.label FROM d_items WHERE d_items.itemid IN (SELECT inputevents_cv.itemid FROM inputevents_cv WHERE inputevents_cv.icustay_id IN (SELECT icustays.icustay_id FROM icustays WHERE icustays.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 1784)) AND DATETIME(inputevents_cv.charttime, 'start of day') = DATETIME(CURRENT_TIME(), 'start of day', '-0 day') ORDER BY inputevents_cv.charttime LIMIT 1) | WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 1784 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 "inputevents_cv"."itemid" FROM "inputevents_cv" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "inputevents_cv"."icustay_id" WHERE DATETIME("inputevents_cv"."charttime", 'start of day') = DATETIME(CURRENT_TIME(), 'start of day', '-0 day') AND NOT "_u_1"."" IS NULL GROUP BY "itemid" ORDER BY "inputevents_cv"."charttime" FETCH FIRST 1 ROWS ONLY) SELECT "d_items"."label" FROM "d_items" LEFT JOIN "_u_2" "_u_2" ON "_u_2"."" = "d_items"."itemid" WHERE NOT "_u_2"."" IS NULL | 0.756836 |
CREATE TABLE table_50052 ("Place" CLOB, "Player" CLOB, "Country" CLOB, "Score" CLOB, "To par" CLOB)
| What was the score in Spain T3? | SELECT "Score" FROM table_50052 WHERE "Place" = 't3' AND "Country" = 'spain' | SELECT "Score" FROM "table_50052" WHERE "Country" = 'spain' AND "Place" = 't3' | 0.076172 |
CREATE TABLE table_19417244_2 (directed_by VARCHAR2, us_viewers__millions_ VARCHAR2)
| who directed the episode that have 14.59 million viewers | SELECT directed_by FROM table_19417244_2 WHERE us_viewers__millions_ = "14.59" | SELECT "directed_by" FROM "table_19417244_2" WHERE "14.59" = "us_viewers__millions_" | 0.082031 |
CREATE TABLE departments (DEPARTMENT_ID NUMBER, DEPARTMENT_NAME VARCHAR2, MANAGER_ID NUMBER, LOCATION_ID NUMBER)
CREATE TABLE regions (REGION_ID NUMBER, REGION_NAME VARCHAR2)
CREATE TABLE locations (LOCATION_ID NUMBER, STREET_ADDRESS VARCHAR2, POSTAL_CODE VARCHAR2, CITY VARCHAR2, STATE_PROVINCE VARCHAR2, COUNTRY_ID VARCHAR2)
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 job_history (EMPLOYEE_ID NUMBER, START_DATE DATE, END_DATE DATE, JOB_ID VARCHAR2, DEPARTMENT_ID NUMBER)
CREATE TABLE countries (COUNTRY_ID VARCHAR2, COUNTRY_NAME VARCHAR2, REGION_ID NUMBER)
CREATE TABLE jobs (JOB_ID VARCHAR2, JOB_TITLE VARCHAR2, MIN_SALARY NUMBER, MAX_SALARY NUMBER)
| For those employees who was hired before 2002-06-21, return a bar chart about the distribution of hire_date and the average of salary bin hire_date by weekday, and list in ascending by the mean salary. | SELECT HIRE_DATE, AVG(SALARY) FROM employees WHERE HIRE_DATE < '2002-06-21' ORDER BY AVG(SALARY) | SELECT "HIRE_DATE", AVG("SALARY") FROM "employees" WHERE "HIRE_DATE" < '2002-06-21' ORDER BY AVG("SALARY") | 0.103516 |
CREATE TABLE table_52851 ("Rank" FLOAT, "Name" CLOB, "Nation" CLOB, "Points" FLOAT, "Places" CLOB)
| What nation has 187.84 points? | SELECT "Nation" FROM table_52851 WHERE "Points" = '187.84' | SELECT "Nation" FROM "table_52851" WHERE "Points" = '187.84' | 0.058594 |
CREATE TABLE departments (DEPARTMENT_ID NUMBER, DEPARTMENT_NAME VARCHAR2, MANAGER_ID NUMBER, LOCATION_ID NUMBER)
CREATE TABLE regions (REGION_ID NUMBER, REGION_NAME VARCHAR2)
CREATE TABLE locations (LOCATION_ID NUMBER, STREET_ADDRESS VARCHAR2, POSTAL_CODE VARCHAR2, CITY VARCHAR2, STATE_PROVINCE VARCHAR2, COUNTRY_ID VARCHAR2)
CREATE TABLE jobs (JOB_ID VARCHAR2, JOB_TITLE VARCHAR2, MIN_SALARY NUMBER, MAX_SALARY NUMBER)
CREATE TABLE countries (COUNTRY_ID VARCHAR2, COUNTRY_NAME VARCHAR2, REGION_ID NUMBER)
CREATE TABLE job_history (EMPLOYEE_ID NUMBER, START_DATE DATE, END_DATE DATE, JOB_ID VARCHAR2, DEPARTMENT_ID NUMBER)
CREATE TABLE employees (EMPLOYEE_ID NUMBER, FIRST_NAME VARCHAR2, LAST_NAME VARCHAR2, EMAIL VARCHAR2, PHONE_NUMBER VARCHAR2, HIRE_DATE DATE, JOB_ID VARCHAR2, SALARY NUMBER, COMMISSION_PCT NUMBER, MANAGER_ID NUMBER, DEPARTMENT_ID NUMBER)
| For those employees who did not have any job in the past, give me the comparison about the sum of manager_id over the job_id , and group by attribute job_id by a bar chart, I want to sort by the names from high to low. | SELECT JOB_ID, SUM(MANAGER_ID) FROM employees WHERE NOT EMPLOYEE_ID IN (SELECT EMPLOYEE_ID FROM job_history) GROUP BY JOB_ID ORDER BY JOB_ID DESC | SELECT "JOB_ID", SUM("MANAGER_ID") FROM "employees" WHERE NOT "EMPLOYEE_ID" IN (SELECT "EMPLOYEE_ID" FROM "job_history") GROUP BY "JOB_ID" ORDER BY "JOB_ID" DESC | 0.157227 |
CREATE TABLE table_1676073_13 (lost VARCHAR2, points_for VARCHAR2)
| How many losses does the club with 539 points for have? | SELECT lost FROM table_1676073_13 WHERE points_for = "539" | SELECT "lost" FROM "table_1676073_13" WHERE "539" = "points_for" | 0.0625 |
CREATE TABLE course_prerequisite (pre_course_id NUMBER, course_id NUMBER)
CREATE TABLE program_requirement (program_id NUMBER, category VARCHAR2, min_credit NUMBER, additional_req VARCHAR2)
CREATE TABLE area (course_id NUMBER, area VARCHAR2)
CREATE TABLE comment_instructor (instructor_id NUMBER, student_id NUMBER, score NUMBER, comment_text VARCHAR2)
CREATE TABLE jobs (job_id NUMBER, job_title VARCHAR2, description VARCHAR2, requirement VARCHAR2, city VARCHAR2, state VARCHAR2, country VARCHAR2, zip NUMBER)
CREATE TABLE gsi (course_offering_id NUMBER, student_id NUMBER)
CREATE TABLE instructor (instructor_id NUMBER, name VARCHAR2, uniqname 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 ta (campus_job_id NUMBER, student_id NUMBER, location VARCHAR2)
CREATE TABLE semester (semester_id NUMBER, semester VARCHAR2, year NUMBER)
CREATE TABLE program_course (program_id NUMBER, course_id NUMBER, workload NUMBER, category VARCHAR2)
CREATE TABLE program (program_id NUMBER, name VARCHAR2, college VARCHAR2, introduction VARCHAR2)
CREATE TABLE requirement (requirement_id NUMBER, requirement VARCHAR2, college VARCHAR2)
CREATE TABLE offering_instructor (offering_instructor_id NUMBER, offering_id NUMBER, instructor_id NUMBER)
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 student_record (student_id NUMBER, course_id NUMBER, semester NUMBER, grade VARCHAR2, how VARCHAR2, transfer_source VARCHAR2, earn_credit VARCHAR2, repeat_term VARCHAR2, test_id VARCHAR2)
CREATE TABLE course_tags_count (course_id NUMBER, clear_grading NUMBER, pop_quiz NUMBER, group_projects NUMBER, inspirational NUMBER, long_lectures NUMBER, extra_credit NUMBER, few_tests NUMBER, good_feedback NUMBER, tough_tests NUMBER, heavy_papers NUMBER, cares_for_students NUMBER, heavy_assignments NUMBER, respected NUMBER, participation NUMBER, heavy_reading NUMBER, tough_grader NUMBER, hilarious NUMBER, would_take_again NUMBER, good_lecture NUMBER, no_skip NUMBER)
| To fulfill the MDE requirement , what 's the easiest class to take ? | SELECT DISTINCT course.department, course.name, course.number, program_course.workload, program_course.workload FROM course, program_course WHERE program_course.category LIKE '%MDE%' AND program_course.course_id = course.course_id AND program_course.workload = (SELECT MIN(PROGRAM_COURSEalias1.workload) FROM program_course AS PROGRAM_COURSEalias1 WHERE PROGRAM_COURSEalias1.category LIKE '%MDE%') | WITH "_u_0" AS (SELECT MIN("PROGRAM_COURSEalias1"."workload") FROM "program_course" "PROGRAM_COURSEalias1" WHERE "PROGRAM_COURSEalias1"."category" LIKE '%MDE%') SELECT DISTINCT "course"."department", "course"."name", "course"."number", "program_course"."workload", "program_course"."workload" FROM "course" JOIN "program_course" ON "course"."course_id" = "program_course"."course_id" AND "program_course"."category" LIKE '%MDE%' JOIN "_u_0" "_u_0" ON "_u_0"."" = "program_course"."workload" | 0.478516 |
CREATE TABLE table_61023 ("Place" CLOB, "Player" CLOB, "Country" CLOB, "Score" CLOB, "To par" CLOB)
| Which Player has a To par of 5, and a Country of england? | SELECT "Player" FROM table_61023 WHERE "To par" = '–5' AND "Country" = 'england' | SELECT "Player" FROM "table_61023" WHERE "Country" = 'england' AND "To par" = '–5' | 0.080078 |
CREATE TABLE table_204_812 (id NUMBER, "#" NUMBER, "prime minister" CLOB, "date of birth" CLOB, "start date\ of ( first ) term" CLOB, "age at beginning\ of ( first ) term" CLOB, "end date\ of ( final ) term" CLOB, "total time in\ office" CLOB, "date of death" CLOB, "lifespan" CLOB)
| was kevin rudd prime minister before or after tony abbott ? | SELECT (SELECT "start date\nof (first) term" FROM table_204_812 WHERE "prime minister" = 'kevin rudd') < (SELECT "start date\nof (first) term" FROM table_204_812 WHERE "prime minister" = 'tony abbott') | SELECT (SELECT "start date\nof (first) term" FROM "table_204_812" WHERE "prime minister" = 'kevin rudd') < (SELECT "start date\nof (first) term" FROM "table_204_812" WHERE "prime minister" = 'tony abbott') | 0.200195 |
CREATE TABLE table_78875 ("Team" CLOB, "Average" FLOAT, "Points" FLOAT, "Played" FLOAT, "1989-90" CLOB, "1990-91" CLOB, "1991-1992" FLOAT)
| How much Average has a 1989-90 of 36, and a Team of talleres de c rdoba, and a Played smaller than 114? | SELECT COUNT("Average") FROM table_78875 WHERE "1989-90" = '36' AND "Team" = 'talleres de córdoba' AND "Played" < '114' | SELECT COUNT("Average") FROM "table_78875" WHERE "1989-90" = '36' AND "Played" < '114' AND "Team" = 'talleres de córdoba' | 0.118164 |
CREATE TABLE table_35448 ("Date" CLOB, "Visitor" CLOB, "Score" CLOB, "Home" CLOB, "Record" CLOB)
| What was the score for the game on February 29? | SELECT "Score" FROM table_35448 WHERE "Date" = 'february 29' | SELECT "Score" FROM "table_35448" WHERE "Date" = 'february 29' | 0.060547 |
CREATE TABLE table_name_94 (tournament VARCHAR2)
| What is the 2009 entry for the row that has a 2007 entry of A and a tournament entry of US Open? | SELECT 2009 FROM table_name_94 WHERE 2007 = "a" AND tournament = "us open" | SELECT 2009 FROM "table_name_94" WHERE "a" = 2007 AND "tournament" = "us open" | 0.076172 |
CREATE TABLE table_1231892_4 (production_code VARCHAR2, us_air_date VARCHAR2)
| what's the total number of episodes with a US air date of january 15, 2005? | SELECT COUNT(production_code) FROM table_1231892_4 WHERE us_air_date = "January 15, 2005" | SELECT COUNT("production_code") FROM "table_1231892_4" WHERE "January 15, 2005" = "us_air_date" | 0.092773 |
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
CREATE TABLE diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE 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 admissions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, admittime TIME, dischtime TIME, admission_type CLOB, admission_location CLOB, discharge_location CLOB, insurance CLOB, language CLOB, marital_status CLOB, ethnicity CLOB, age NUMBER)
CREATE TABLE microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
CREATE TABLE 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 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 prescriptions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, startdate TIME, enddate TIME, drug CLOB, dose_val_rx CLOB, dose_unit_rx CLOB, route CLOB)
CREATE TABLE labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE 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)
CREATE TABLE procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime 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 patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
CREATE TABLE chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
| indicate the daily maximum volume of pacu gastric that patient 25723 has had on the first icu visit. | SELECT MAX(outputevents.value) FROM outputevents WHERE outputevents.icustay_id IN (SELECT icustays.icustay_id FROM icustays WHERE icustays.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 25723) AND NOT icustays.outtime IS NULL ORDER BY icustays.intime LIMIT 1) AND outputevents.itemid IN (SELECT d_items.itemid FROM d_items WHERE d_items.label = 'pacu gastric' AND d_items.linksto = 'outputevents') GROUP BY STRFTIME('%y-%m-%d', outputevents.charttime) | WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 25723 GROUP BY "hadm_id"), "_u_1" AS (SELECT "icustays"."icustay_id" FROM "icustays" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "icustays"."hadm_id" WHERE NOT "_u_0"."" IS NULL AND NOT "icustays"."outtime" IS NULL GROUP BY "icustay_id" ORDER BY "icustays"."intime" FETCH FIRST 1 ROWS ONLY), "_u_2" AS (SELECT "d_items"."itemid" FROM "d_items" WHERE "d_items"."label" = 'pacu gastric' AND "d_items"."linksto" = 'outputevents' GROUP BY "itemid") SELECT MAX("outputevents"."value") FROM "outputevents" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "outputevents"."icustay_id" LEFT JOIN "_u_2" "_u_2" ON "_u_2"."" = "outputevents"."itemid" WHERE NOT "_u_1"."" IS NULL AND NOT "_u_2"."" IS NULL GROUP BY STRFTIME('%y-%m-%d', "outputevents"."charttime") | 0.814453 |
CREATE TABLE table_26176081_29 (name VARCHAR2, tfl_yds VARCHAR2)
| What is the name when tfl-yds is 2-2? | SELECT name FROM table_26176081_29 WHERE tfl_yds = "2-2" | SELECT "name" FROM "table_26176081_29" WHERE "2-2" = "tfl_yds" | 0.060547 |
CREATE TABLE Documents_with_Expenses (Document_ID NUMBER, Budget_Type_Code CHAR, Document_Details VARCHAR2)
CREATE TABLE Projects (Project_ID NUMBER, Project_Details VARCHAR2)
CREATE TABLE Accounts (Account_ID NUMBER, Statement_ID NUMBER, Account_Details VARCHAR2)
CREATE TABLE Ref_Budget_Codes (Budget_Type_Code CHAR, Budget_Type_Description VARCHAR2)
CREATE TABLE Documents (Document_ID NUMBER, Document_Type_Code CHAR, Project_ID NUMBER, Document_Date DATETIME, Document_Name VARCHAR2, Document_Description VARCHAR2, Other_Details VARCHAR2)
CREATE TABLE Ref_Document_Types (Document_Type_Code CHAR, Document_Type_Name VARCHAR2, Document_Type_Description VARCHAR2)
CREATE TABLE Statements (Statement_ID NUMBER, Statement_Details VARCHAR2)
| Bar chart x axis document name y axis the number of document name, and could you show in desc by the Y-axis please? | SELECT Document_Name, COUNT(Document_Name) FROM Documents GROUP BY Document_Name ORDER BY COUNT(Document_Name) DESC | SELECT "Document_Name", COUNT("Document_Name") FROM "Documents" GROUP BY "Document_Name" ORDER BY COUNT("Document_Name") DESC | 0.12207 |
CREATE TABLE table_51111 ("Rank" CLOB, "Nation" CLOB, "Gold" FLOAT, "Silver" FLOAT, "Bronze" FLOAT, "Total" FLOAT)
| What kind of Silver has a Rank of 3, and a Gold smaller than 2? | SELECT COUNT("Silver") FROM table_51111 WHERE "Rank" = '3' AND "Gold" < '2' | SELECT COUNT("Silver") FROM "table_51111" WHERE "Gold" < '2' AND "Rank" = '3' | 0.075195 |
CREATE TABLE table_name_61 (lost VARCHAR2, highest_ranking VARCHAR2)
| What is the total number of Lost for the Highest Ranking of ? | SELECT COUNT(lost) FROM table_name_61 WHERE highest_ranking = "– –" | SELECT COUNT("lost") FROM "table_name_61" WHERE "highest_ranking" = "– –" | 0.071289 |
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
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)
| how many patients underwent abn react-renal dialysis and have abnormal lab test status? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE diagnoses.short_title = "Abn react-renal dialysis" AND lab.flag = "abnormal" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "Abn react-renal dialysis" = "diagnoses"."short_title" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" JOIN "lab" ON "abnormal" = "lab"."flag" AND "demographic"."hadm_id" = "lab"."hadm_id" | 0.274414 |
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
| provide the number of patients whose age is less than 76 and days of hospital stay is greater than 27? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.age < "76" AND demographic.days_stay > "27" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "27" < "demographic"."days_stay" AND "76" > "demographic"."age" | 0.134766 |
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