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CREATE TABLE patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
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 procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
CREATE TABLE 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 outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value 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_icd_procedures (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 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 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)
| among the patients aged 20s , what was the top three most frequent diagnosis? | SELECT d_icd_diagnoses.short_title FROM d_icd_diagnoses WHERE d_icd_diagnoses.icd9_code IN (SELECT t1.icd9_code FROM (SELECT diagnoses_icd.icd9_code, DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS c1 FROM diagnoses_icd WHERE diagnoses_icd.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.age BETWEEN 20 AND 29) GROUP BY diagnoses_icd.icd9_code) AS t1 WHERE t1.c1 <= 3) | WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."age" <= 29 AND "admissions"."age" >= 20 GROUP BY "hadm_id"), "t1" AS (SELECT "diagnoses_icd"."icd9_code", DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS "c1" FROM "diagnoses_icd" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "diagnoses_icd"."hadm_id" WHERE NOT "_u_0"."" IS NULL GROUP BY "diagnoses_icd"."icd9_code"), "_u_1" AS (SELECT "t1"."icd9_code" FROM "t1" "t1" WHERE "t1"."c1" <= 3 GROUP BY "icd9_code") SELECT "d_icd_diagnoses"."short_title" FROM "d_icd_diagnoses" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "d_icd_diagnoses"."icd9_code" WHERE NOT "_u_1"."" IS NULL | 0.629883 |
CREATE TABLE table_name_45 (percentage_democrats VARCHAR2, democratic_seat_plurality VARCHAR2, democratic__republican VARCHAR2)
| What is the percentage democrats with democratic plurality of -3, and 2/5 democrat/republican? | SELECT percentage_democrats FROM table_name_45 WHERE democratic_seat_plurality = "-3" AND democratic__republican = "2/5" | SELECT "percentage_democrats" FROM "table_name_45" WHERE "-3" = "democratic_seat_plurality" AND "2/5" = "democratic__republican" | 0.125 |
CREATE TABLE table_38671 ("Locale" CLOB, "Skip" CLOB, "Ends Won" FLOAT, "Ends Lost" FLOAT, "Blank Ends" FLOAT, "Stolen Ends" FLOAT, "Shot Pct." CLOB)
| How many Ends Won have Blank Ends smaller than 14, and a Locale of manitoba, and Stolen Ends larger than 13? | SELECT SUM("Ends Won") FROM table_38671 WHERE "Blank Ends" < '14' AND "Locale" = 'manitoba' AND "Stolen Ends" > '13' | SELECT SUM("Ends Won") FROM "table_38671" WHERE "Blank Ends" < '14' AND "Locale" = 'manitoba' AND "Stolen Ends" > '13' | 0.115234 |
CREATE TABLE table_60190 ("Election" CLOB, "First member" CLOB, "1st Party" CLOB, "Second member" CLOB, "2nd Party" CLOB)
| What is 2nd Party, when Election is '1865'? | SELECT "2nd Party" FROM table_60190 WHERE "Election" = '1865' | SELECT "2nd Party" FROM "table_60190" WHERE "Election" = '1865' | 0.061523 |
CREATE TABLE table_23995075_2 (teams_that_have_been_eliminated VARCHAR2, teams_started VARCHAR2)
| How many teams eliminated when 11 teams started? | SELECT teams_that_have_been_eliminated FROM table_23995075_2 WHERE teams_started = "11" | SELECT "teams_that_have_been_eliminated" FROM "table_23995075_2" WHERE "11" = "teams_started" | 0.09082 |
CREATE TABLE table_15962 ("Song" CLOB, "Mobiles" FLOAT, "Northern Ireland" FLOAT, "Northern England" FLOAT, "Scotland" FLOAT, "Southern England" FLOAT, "Wales" FLOAT, "Total" FLOAT)
| How many votes did Wales cast when Northern England cast 6? | SELECT MIN("Wales") FROM table_15962 WHERE "Northern England" = '6' | SELECT MIN("Wales") FROM "table_15962" WHERE "Northern England" = '6' | 0.067383 |
CREATE TABLE table_35475 ("Year" FLOAT, "Date" CLOB, "Venue" CLOB, "Champion" CLOB, "Country" CLOB, "Score" FLOAT, "To par" CLOB, "Margin of victory" CLOB, "Purse ( $ ) " FLOAT, "Winner's share ( $ ) " FLOAT)
| At what venue is the margin of victory 7 strokes? | SELECT "Venue" FROM table_35475 WHERE "Margin of victory" = '7 strokes' | SELECT "Venue" FROM "table_35475" WHERE "Margin of victory" = '7 strokes' | 0.071289 |
CREATE TABLE table_18650 ("District" CLOB, "Incumbent" CLOB, "Party" CLOB, "First elected" FLOAT, "Result" CLOB, "Candidates" CLOB)
| Who are the candidates in the race where Wright Patman is the incumbent? | SELECT "Candidates" FROM table_18650 WHERE "Incumbent" = 'Wright Patman' | SELECT "Candidates" FROM "table_18650" WHERE "Incumbent" = 'Wright Patman' | 0.072266 |
CREATE TABLE table_78100 ("Rank" FLOAT, "Nation" CLOB, "Gold" FLOAT, "Silver" FLOAT, "Bronze" FLOAT, "Total" FLOAT)
| What is the total number of bronze a team with more than 0 silver, a total of 7 medals, and less than 1 gold medal has? | SELECT COUNT("Bronze") FROM table_78100 WHERE "Silver" > '0' AND "Total" = '7' AND "Gold" < '1' | SELECT COUNT("Bronze") FROM "table_78100" WHERE "Gold" < '1' AND "Silver" > '0' AND "Total" = '7' | 0.094727 |
CREATE TABLE job_history (EMPLOYEE_ID NUMBER, START_DATE DATE, END_DATE DATE, JOB_ID VARCHAR2, DEPARTMENT_ID NUMBER)
CREATE TABLE locations (LOCATION_ID NUMBER, STREET_ADDRESS VARCHAR2, POSTAL_CODE VARCHAR2, CITY VARCHAR2, STATE_PROVINCE VARCHAR2, COUNTRY_ID VARCHAR2)
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 departments (DEPARTMENT_ID NUMBER, DEPARTMENT_NAME VARCHAR2, MANAGER_ID NUMBER, LOCATION_ID NUMBER)
CREATE TABLE employees (EMPLOYEE_ID NUMBER, FIRST_NAME VARCHAR2, LAST_NAME VARCHAR2, EMAIL VARCHAR2, PHONE_NUMBER VARCHAR2, HIRE_DATE DATE, JOB_ID VARCHAR2, SALARY NUMBER, COMMISSION_PCT NUMBER, MANAGER_ID NUMBER, DEPARTMENT_ID NUMBER)
CREATE TABLE countries (COUNTRY_ID VARCHAR2, COUNTRY_NAME VARCHAR2, REGION_ID NUMBER)
| For those employees who do not work in departments with managers that have ids between 100 and 200, give me the comparison about commission_pct over the phone_number , could you rank from low to high by the Y-axis? | SELECT PHONE_NUMBER, COMMISSION_PCT FROM employees WHERE NOT DEPARTMENT_ID IN (SELECT DEPARTMENT_ID FROM departments WHERE MANAGER_ID BETWEEN 100 AND 200) ORDER BY COMMISSION_PCT | SELECT "PHONE_NUMBER", "COMMISSION_PCT" FROM "employees" WHERE NOT "DEPARTMENT_ID" IN (SELECT "DEPARTMENT_ID" FROM "departments" WHERE "MANAGER_ID" <= 200 AND "MANAGER_ID" >= 100) ORDER BY "COMMISSION_PCT" | 0.200195 |
CREATE TABLE repair (repair_ID NUMBER, name CLOB, Launch_Date CLOB, Notes CLOB)
CREATE TABLE repair_assignment (technician_id NUMBER, repair_ID NUMBER, Machine_ID NUMBER)
CREATE TABLE machine (Machine_ID NUMBER, Making_Year NUMBER, Class CLOB, Team CLOB, Machine_series CLOB, value_points FLOAT, quality_rank NUMBER)
CREATE TABLE technician (technician_id FLOAT, Name CLOB, Team CLOB, Starting_Year FLOAT, Age NUMBER)
| Show names of technicians and the number of machines they are assigned to repair Visualize by bar chart, and I want to display in desc by the Y. | SELECT Name, COUNT(*) FROM repair_assignment AS T1 JOIN technician AS T2 ON T1.technician_id = T2.technician_id GROUP BY T2.Name ORDER BY COUNT(*) DESC | SELECT "Name", COUNT(*) FROM "repair_assignment" "T1" JOIN "technician" "T2" ON "T1"."technician_id" = "T2"."technician_id" GROUP BY "T2"."Name" ORDER BY COUNT(*) DESC | 0.163086 |
CREATE TABLE Manufacturers (Code NUMBER, Name VARCHAR2, Headquarter VARCHAR2, Founder VARCHAR2, Revenue FLOAT)
CREATE TABLE Products (Code NUMBER, Name VARCHAR2, Price NUMBER, Manufacturer NUMBER)
| For those records from the products and each product's manufacturer, find name and the average of revenue , and group by attribute name, and visualize them by a bar chart, list in descending by the y axis please. | SELECT T1.Name, T2.Revenue FROM Products AS T1 JOIN Manufacturers AS T2 ON T1.Manufacturer = T2.Code GROUP BY T1.Name ORDER BY T2.Revenue DESC | SELECT "T1"."Name", "T2"."Revenue" FROM "Products" "T1" JOIN "Manufacturers" "T2" ON "T1"."Manufacturer" = "T2"."Code" GROUP BY "T1"."Name" ORDER BY "T2"."Revenue" DESC | 0.164063 |
CREATE TABLE table_name_40 (grid NUMBER, team VARCHAR2, laps VARCHAR2)
| What is the average grid number for paul cruickshank racing with less than 27 laps? | SELECT AVG(grid) FROM table_name_40 WHERE team = "paul cruickshank racing" AND laps < 27 | SELECT AVG("grid") FROM "table_name_40" WHERE "laps" < 27 AND "paul cruickshank racing" = "team" | 0.09375 |
CREATE TABLE table_46009 ("Nat." CLOB, "Name" CLOB, "Since" CLOB, "App ( L/C/E ) " CLOB, "Goals ( L/C/E ) " CLOB, "Ends" FLOAT, "Transfer fee" CLOB)
| What are the fewest ends with an App(L/C/E) of 51 (44/6/1)? | SELECT MIN("Ends") FROM table_46009 WHERE "App(L/C/E)" = '51 (44/6/1)' | SELECT MIN("Ends") FROM "table_46009" WHERE "App(L/C/E)" = '51 (44/6/1)' | 0.070313 |
CREATE TABLE table_name_79 (opponent VARCHAR2, time VARCHAR2)
| Which opponent has a time of 1:50? | SELECT opponent FROM table_name_79 WHERE time = "1:50" | SELECT "opponent" FROM "table_name_79" WHERE "1:50" = "time" | 0.058594 |
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 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)
| which type of drug is colchicine? | SELECT prescriptions.drug_type FROM prescriptions WHERE prescriptions.drug = "Colchicine" | SELECT "prescriptions"."drug_type" FROM "prescriptions" WHERE "Colchicine" = "prescriptions"."drug" | 0.09668 |
CREATE TABLE compartment_class (compartment VARCHAR2, class_type VARCHAR2)
CREATE TABLE equipment_sequence (aircraft_code_sequence VARCHAR2, aircraft_code VARCHAR2)
CREATE TABLE city (city_code VARCHAR2, city_name VARCHAR2, state_code VARCHAR2, country_name VARCHAR2, time_zone_code VARCHAR2)
CREATE TABLE airport_service (city_code VARCHAR2, airport_code VARCHAR2, miles_distant NUMBER, direction VARCHAR2, minutes_distant NUMBER)
CREATE TABLE code_description (code VARCHAR2, description CLOB)
CREATE TABLE state (state_code CLOB, state_name CLOB, country_name 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 food_service (meal_code CLOB, meal_number NUMBER, compartment CLOB, meal_description 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 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_leg (flight_id NUMBER, leg_number NUMBER, leg_flight NUMBER)
CREATE TABLE dual_carrier (main_airline VARCHAR2, low_flight_number NUMBER, high_flight_number NUMBER, dual_airline VARCHAR2, service_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 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 date_day (month_number NUMBER, day_number NUMBER, year NUMBER, day_name VARCHAR2)
CREATE TABLE time_interval (period CLOB, begin_time NUMBER, end_time NUMBER)
CREATE TABLE airline (airline_code VARCHAR2, airline_name CLOB, note CLOB)
CREATE TABLE month (month_number NUMBER, month_name CLOB)
CREATE TABLE class_of_service (booking_class VARCHAR2, rank NUMBER, class_description CLOB)
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 flight_fare (flight_id NUMBER, fare_id 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)
| i need a cheap flight from BALTIMORE to SAN FRANCISCO | 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, fare, flight, flight_fare WHERE ((CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'BALTIMORE' AND flight.from_airport = AIRPORT_SERVICE_0.airport_code) AND CITY_2.city_code = AIRPORT_SERVICE_2.city_code AND CITY_2.city_name = 'SAN FRANCISCO' AND flight.to_airport = AIRPORT_SERVICE_2.airport_code) AND fare.one_direction_cost = (SELECT MIN(FAREalias1.one_direction_cost) FROM airport_service AS AIRPORT_SERVICEalias3, airport_service AS AIRPORT_SERVICEalias4, airport_service AS AIRPORT_SERVICEalias5, city AS CITYalias3, city AS CITYalias4, city AS CITYalias5, fare AS FAREalias1, flight AS FLIGHTalias1, flight_fare AS FLIGHT_FAREalias1 WHERE CITYalias3.city_code = AIRPORT_SERVICEalias3.city_code AND CITYalias3.city_name = 'BALTIMORE' AND CITYalias5.city_code = AIRPORT_SERVICEalias5.city_code AND CITYalias5.city_name = 'SAN FRANCISCO' AND FLIGHT_FAREalias1.fare_id = FAREalias1.fare_id AND FLIGHTalias1.flight_id = FLIGHT_FAREalias1.flight_id AND FLIGHTalias1.from_airport = AIRPORT_SERVICEalias3.airport_code AND FLIGHTalias1.to_airport = AIRPORT_SERVICEalias5.airport_code) AND flight_fare.fare_id = fare.fare_id AND flight.flight_id = flight_fare.flight_id | WITH "_u_0" AS (SELECT MIN("FAREalias1"."one_direction_cost") FROM "airport_service" "AIRPORT_SERVICEalias3" CROSS JOIN "airport_service" "AIRPORT_SERVICEalias4" CROSS JOIN "city" "CITYalias4" JOIN "city" "CITYalias3" ON "AIRPORT_SERVICEalias3"."city_code" = "CITYalias3"."city_code" AND "CITYalias3"."city_name" = 'BALTIMORE' JOIN "flight" "FLIGHTalias1" ON "AIRPORT_SERVICEalias3"."airport_code" = "FLIGHTalias1"."from_airport" JOIN "airport_service" "AIRPORT_SERVICEalias5" ON "AIRPORT_SERVICEalias5"."airport_code" = "FLIGHTalias1"."to_airport" JOIN "flight_fare" "FLIGHT_FAREalias1" ON "FLIGHT_FAREalias1"."flight_id" = "FLIGHTalias1"."flight_id" JOIN "city" "CITYalias5" ON "AIRPORT_SERVICEalias5"."city_code" = "CITYalias5"."city_code" AND "CITYalias5"."city_name" = 'SAN FRANCISCO' JOIN "fare" "FAREalias1" ON "FAREalias1"."fare_id" = "FLIGHT_FAREalias1"."fare_id") SELECT DISTINCT "flight"."flight_id" FROM "airport_service" "AIRPORT_SERVICE_0" CROSS JOIN "airport_service" "AIRPORT_SERVICE_1" CROSS JOIN "city" "CITY_1" JOIN "city" "CITY_0" ON "AIRPORT_SERVICE_0"."city_code" = "CITY_0"."city_code" AND "CITY_0"."city_name" = 'BALTIMORE' JOIN "flight" ON "AIRPORT_SERVICE_0"."airport_code" = "flight"."from_airport" JOIN "airport_service" "AIRPORT_SERVICE_2" ON "AIRPORT_SERVICE_2"."airport_code" = "flight"."to_airport" JOIN "flight_fare" ON "flight"."flight_id" = "flight_fare"."flight_id" JOIN "city" "CITY_2" ON "AIRPORT_SERVICE_2"."city_code" = "CITY_2"."city_code" AND "CITY_2"."city_name" = 'SAN FRANCISCO' JOIN "fare" ON "fare"."fare_id" = "flight_fare"."fare_id" JOIN "_u_0" "_u_0" ON "_u_0"."" = "fare"."one_direction_cost" | 1.604492 |
CREATE TABLE table_40250 ("Position" FLOAT, "Team" CLOB, "Points" FLOAT, "Played" FLOAT, "Drawn" FLOAT, "Lost" FLOAT, "Against" FLOAT, "Difference" CLOB)
| How many Against have a Team of hespanha, and Points smaller than 30? | SELECT COUNT("Against") FROM table_40250 WHERE "Team" = 'hespanha' AND "Points" < '30' | SELECT COUNT("Against") FROM "table_40250" WHERE "Points" < '30' AND "Team" = 'hespanha' | 0.085938 |
CREATE TABLE job_history (EMPLOYEE_ID NUMBER, START_DATE DATE, END_DATE DATE, JOB_ID VARCHAR2, DEPARTMENT_ID NUMBER)
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 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 departments (DEPARTMENT_ID NUMBER, DEPARTMENT_NAME VARCHAR2, MANAGER_ID NUMBER, LOCATION_ID NUMBER)
| What is the average salary for each job title Show bar chart, and order by the JOB_TITLE in desc. | SELECT JOB_TITLE, AVG(SALARY) FROM employees AS T1 JOIN jobs AS T2 ON T1.JOB_ID = T2.JOB_ID GROUP BY T2.JOB_TITLE ORDER BY JOB_TITLE DESC | SELECT "JOB_TITLE", AVG("SALARY") FROM "employees" "T1" JOIN "jobs" "T2" ON "T1"."JOB_ID" = "T2"."JOB_ID" GROUP BY "T2"."JOB_TITLE" ORDER BY "JOB_TITLE" DESC | 0.15332 |
CREATE TABLE table_50099 ("Player" CLOB, "Nationality" CLOB, "Position" CLOB, "Years for Grizzlies" CLOB, "School/Club Team" CLOB)
| What was the nationality of a point guard position in 1999-2001? | SELECT "Nationality" FROM table_50099 WHERE "Position" = 'point guard' AND "Years for Grizzlies" = '1999-2001' | SELECT "Nationality" FROM "table_50099" WHERE "Position" = 'point guard' AND "Years for Grizzlies" = '1999-2001' | 0.109375 |
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)
| Draw a scatter chart about the correlation between Team_ID and School_ID , and group by attribute All_Games. | SELECT Team_ID, School_ID FROM basketball_match GROUP BY All_Games | SELECT "Team_ID", "School_ID" FROM "basketball_match" GROUP BY "All_Games" | 0.072266 |
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 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)
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 treatment (treatmentid NUMBER, patientunitstayid NUMBER, treatmentname CLOB, treatmenttime 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 lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime TIME)
CREATE TABLE allergy (allergyid NUMBER, patientunitstayid NUMBER, drugname CLOB, allergyname CLOB, allergytime TIME)
| what is the maximum hospital cost that involves a procedure called vasodilating agent - iv since 3 years ago. | SELECT MAX(t1.c1) FROM (SELECT SUM(cost.cost) AS c1 FROM cost WHERE cost.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.patientunitstayid IN (SELECT treatment.patientunitstayid FROM treatment WHERE treatment.treatmentname = 'vasodilating agent - iv')) AND DATETIME(cost.chargetime) >= DATETIME(CURRENT_TIME(), '-3 year') GROUP BY cost.patienthealthsystemstayid) AS t1 | WITH "_u_0" AS (SELECT "treatment"."patientunitstayid" FROM "treatment" WHERE "treatment"."treatmentname" = 'vasodilating agent - iv' GROUP BY "patientunitstayid"), "_u_1" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "patient"."patientunitstayid" WHERE NOT "_u_0"."" IS NULL GROUP BY "patienthealthsystemstayid"), "t1" AS (SELECT SUM("cost"."cost") AS "c1" FROM "cost" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "cost"."patienthealthsystemstayid" WHERE DATETIME("cost"."chargetime") >= DATETIME(CURRENT_TIME(), '-3 year') AND NOT "_u_1"."" IS NULL GROUP BY "cost"."patienthealthsystemstayid") SELECT MAX("t1"."c1") FROM "t1" "t1" | 0.666992 |
CREATE TABLE payments (payment_id NUMBER, settlement_id NUMBER, payment_method_code CLOB, date_payment_made TIME, amount_payment NUMBER)
CREATE TABLE claims (claim_id NUMBER, policy_id NUMBER, date_claim_made TIME, date_claim_settled TIME, amount_claimed NUMBER, amount_settled NUMBER)
CREATE TABLE customer_policies (policy_id NUMBER, customer_id NUMBER, policy_type_code CLOB, start_date TIME, end_date TIME)
CREATE TABLE settlements (settlement_id NUMBER, claim_id NUMBER, date_claim_made TIME, date_claim_settled TIME, amount_claimed NUMBER, amount_settled NUMBER, customer_policy_id NUMBER)
CREATE TABLE customers (customer_id NUMBER, customer_details CLOB)
| Which kind of policy type was chosen by the most customers? | SELECT policy_type_code FROM customer_policies GROUP BY policy_type_code ORDER BY COUNT(*) DESC LIMIT 1 | SELECT "policy_type_code" FROM "customer_policies" GROUP BY "policy_type_code" ORDER BY COUNT(*) DESC FETCH FIRST 1 ROWS ONLY | 0.12207 |
CREATE TABLE table_13428 ("Name" CLOB, "Type" CLOB, "Relation" CLOB, "Length" CLOB, "Year" FLOAT)
| Which Relation has a Type of tv, and a Name of ohanami? | SELECT "Relation" FROM table_13428 WHERE "Type" = 'tv' AND "Name" = 'ohanami' | SELECT "Relation" FROM "table_13428" WHERE "Name" = 'ohanami' AND "Type" = 'tv' | 0.077148 |
CREATE TABLE mountain (mountain_id NUMBER, name CLOB, height NUMBER, prominence NUMBER, range CLOB, country CLOB)
CREATE TABLE climber (climber_id NUMBER, name CLOB, country CLOB, time CLOB, points NUMBER, mountain_id NUMBER)
| Which range contains the most mountains? | SELECT range FROM mountain GROUP BY range ORDER BY COUNT(*) DESC LIMIT 1 | SELECT "range" FROM "mountain" GROUP BY "range" ORDER BY COUNT(*) DESC FETCH FIRST 1 ROWS ONLY | 0.091797 |
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 demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
| What is the total number of alzheimer's disease patients insured by the government? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.insurance = "Government" AND diagnoses.long_title = "Alzheimer's disease" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "Alzheimer's disease" = "diagnoses"."long_title" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" WHERE "Government" = "demographic"."insurance" | 0.230469 |
CREATE TABLE table_20142629_2 (_3_cylinder VARCHAR2, stanier VARCHAR2, fowler VARCHAR2)
| When the Fowler is 16, what is the number of cylinders? | SELECT COUNT(stanier), _3_cylinder FROM table_20142629_2 WHERE fowler = 16 | SELECT COUNT("stanier"), "_3_cylinder" FROM "table_20142629_2" WHERE "fowler" = 16 | 0.080078 |
CREATE TABLE table_53596 ("Competition" CLOB, "Current position / round" CLOB, "Final position / round" CLOB, "First match" CLOB, "Last match" CLOB)
| Which competition had a final position/round of 2? | SELECT "Competition" FROM table_53596 WHERE "Final position / round" = '2' | SELECT "Competition" FROM "table_53596" WHERE "Final position / round" = '2' | 0.074219 |
CREATE TABLE table_2175685_1 (miles__km_ VARCHAR2, average_speed__mph_ VARCHAR2)
| How many miles (km) were driven when the average speed (mph) was 103.145? | SELECT miles__km_ FROM table_2175685_1 WHERE average_speed__mph_ = "103.145" | SELECT "miles__km_" FROM "table_2175685_1" WHERE "103.145" = "average_speed__mph_" | 0.080078 |
CREATE TABLE table_203_717 (id NUMBER, "number" NUMBER, "year built" NUMBER, "livery" CLOB, "current status" CLOB, "notes" CLOB)
| how many cars were created before 1960 ? | SELECT COUNT(*) FROM table_203_717 WHERE "year built" < 1960 | SELECT COUNT(*) FROM "table_203_717" WHERE "year built" < 1960 | 0.060547 |
CREATE TABLE table_name_40 (year NUMBER, director VARCHAR2, english_title VARCHAR2)
| What is the submission Year of the Film The Dark Side of the Moon directed by Erik Clausen? | SELECT SUM(year) FROM table_name_40 WHERE director = "erik clausen" AND english_title = "the dark side of the moon" | SELECT SUM("year") FROM "table_name_40" WHERE "director" = "erik clausen" AND "english_title" = "the dark side of the moon" | 0.120117 |
CREATE TABLE table_203_467 (id NUMBER, "year" NUMBER, "numer of jamaicans\ granted british\ citizenship" NUMBER, "naturalisation\ by residence" NUMBER, "naturalisation\ by marriage" NUMBER, "registration\ of a minor child" NUMBER, "registration\ by other means" NUMBER)
| what is the total number of jamaicans granted british citizenship in 2008 ? | SELECT "numer of jamaicans\ngranted british\ncitizenship" FROM table_203_467 WHERE "year" = 2008 | SELECT "numer of jamaicans\ngranted british\ncitizenship" FROM "table_203_467" WHERE "year" = 2008 | 0.095703 |
CREATE TABLE table_203_603 (id NUMBER, "service" CLOB, "service id" CLOB, "bit rate" CLOB, "audio channels" CLOB, "description" CLOB, "analogue availability" CLOB)
| name the only indie/alternative/rock music radio station broadcasted by mxr yorkshire . | SELECT "service" FROM table_203_603 WHERE "description" = 'indie / alternative / rock music' | SELECT "service" FROM "table_203_603" WHERE "description" = 'indie / alternative / rock music' | 0.091797 |
CREATE TABLE jobs (JOB_ID VARCHAR2, JOB_TITLE VARCHAR2, MIN_SALARY NUMBER, MAX_SALARY NUMBER)
CREATE TABLE regions (REGION_ID NUMBER, REGION_NAME VARCHAR2)
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 job_history (EMPLOYEE_ID NUMBER, START_DATE DATE, END_DATE DATE, JOB_ID VARCHAR2, DEPARTMENT_ID NUMBER)
CREATE TABLE departments (DEPARTMENT_ID NUMBER, DEPARTMENT_NAME VARCHAR2, MANAGER_ID NUMBER, LOCATION_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 all employees who have the letters D or S in their first name, show me about the change of manager_id over hire_date in a line chart, and rank x axis from high to low order. | SELECT HIRE_DATE, MANAGER_ID FROM employees WHERE FIRST_NAME LIKE '%D%' OR FIRST_NAME LIKE '%S%' ORDER BY HIRE_DATE DESC | SELECT "HIRE_DATE", "MANAGER_ID" FROM "employees" WHERE "FIRST_NAME" LIKE '%D%' OR "FIRST_NAME" LIKE '%S%' ORDER BY "HIRE_DATE" DESC | 0.128906 |
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 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 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 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 treatment (treatmentid NUMBER, patientunitstayid NUMBER, treatmentname CLOB, treatmenttime TIME)
| what lab test until 6 months ago was given to patient 002-19168 for the last time? | SELECT lab.labname FROM lab WHERE lab.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '002-19168')) AND DATETIME(lab.labresulttime) <= DATETIME(CURRENT_TIME(), '-6 month') ORDER BY lab.labresulttime DESC LIMIT 1 | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '002-19168' 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 "lab"."labname" FROM "lab" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "lab"."patientunitstayid" WHERE DATETIME("lab"."labresulttime") <= DATETIME(CURRENT_TIME(), '-6 month') AND NOT "_u_1"."" IS NULL ORDER BY "lab"."labresulttime" DESC FETCH FIRST 1 ROWS ONLY | 0.602539 |
CREATE TABLE table_37683 ("Name" CLOB, "Status" CLOB, "Population" FLOAT, "District" CLOB, "Former local authority" CLOB)
| What district is the parish who had the South Cambridgeshire rural district as the former local authority? | SELECT "District" FROM table_37683 WHERE "Former local authority" = 'south cambridgeshire rural district' | SELECT "District" FROM "table_37683" WHERE "Former local authority" = 'south cambridgeshire rural district' | 0.104492 |
CREATE TABLE table_22756 ("Name" CLOB, "Country" CLOB, "Seasons" CLOB, "Championship Titles" CLOB, "Race entries ( Starts ) " CLOB, "Poles" FLOAT, "Wins" FLOAT, "Podiums" FLOAT, "Fastest Laps" FLOAT, "Points" CLOB)
| Name the country for hideki noda category:articles with hcards | SELECT "Country" FROM table_22756 WHERE "Name" = 'Hideki Noda Category:Articles with hCards' | SELECT "Country" FROM "table_22756" WHERE "Name" = 'Hideki Noda Category:Articles with hCards' | 0.091797 |
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 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 prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
| find out the number of patients less than 79 years who have been diagnosed with wheelchair dependence. | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.age < "79" AND diagnoses.short_title = "Wheelchair dependence" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "Wheelchair dependence" = "diagnoses"."short_title" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" WHERE "79" > "demographic"."age" | 0.219727 |
CREATE TABLE table_name_91 (wins NUMBER, hampden_fl VARCHAR2)
| How many wins did South Warrambool have? | SELECT AVG(wins) FROM table_name_91 WHERE hampden_fl = "south warrambool" | SELECT AVG("wins") FROM "table_name_91" WHERE "hampden_fl" = "south warrambool" | 0.077148 |
CREATE TABLE table_2622469_1 (starts VARCHAR2, avg_finish VARCHAR2)
| How many different starts had an average finish of 17.9? | SELECT COUNT(starts) FROM table_2622469_1 WHERE avg_finish = "17.9" | SELECT COUNT("starts") FROM "table_2622469_1" WHERE "17.9" = "avg_finish" | 0.071289 |
CREATE TABLE table_18102421_2 (us_viewers__millions_ VARCHAR2, directed_by VARCHAR2)
| How many millions of U.S. viewers watched the episode directed by Allison Liddi-Brown? | SELECT us_viewers__millions_ FROM table_18102421_2 WHERE directed_by = "Allison Liddi-Brown" | SELECT "us_viewers__millions_" FROM "table_18102421_2" WHERE "Allison Liddi-Brown" = "directed_by" | 0.095703 |
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 CloseReasonTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
CREATE TABLE SuggestedEditVotes (Id NUMBER, SuggestedEditId NUMBER, UserId NUMBER, VoteTypeId NUMBER, CreationDate TIME, TargetUserId NUMBER, TargetRepChange NUMBER)
CREATE TABLE PostTags (PostId NUMBER, TagId 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 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 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 ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId 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 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 ReviewTaskTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostHistoryTypes (Id NUMBER, Name CLOB)
CREATE TABLE ReviewTaskStates (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE FlagTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
CREATE TABLE PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId NUMBER)
CREATE TABLE PostTypes (Id NUMBER, Name CLOB)
CREATE TABLE VoteTypes (Id NUMBER, Name CLOB)
CREATE TABLE Comments (Id NUMBER, PostId NUMBER, Score NUMBER, Text CLOB, CreationDate TIME, UserDisplayName CLOB, UserId NUMBER, ContentLicense CLOB)
CREATE TABLE PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId NUMBER)
CREATE TABLE PendingFlags (Id NUMBER, FlagTypeId NUMBER, PostId NUMBER, CreationDate TIME, CloseReasonTypeId NUMBER, CloseAsOffTopicReasonTypeId NUMBER, DuplicateOfQuestionId NUMBER, BelongsOnBaseHostAddress CLOB)
CREATE TABLE Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId 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 Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
| Users ranked by number of badges (all kinds). | SELECT UserLink AS "user_link", Rep, NumBadges, COUNT(*) AS "numquestions" FROM (SELECT * FROM (SELECT Users.Id AS "userlink", Users.Reputation AS "rep", COUNT(*) AS "numbadges" FROM Users INNER JOIN Badges ON Users.Id = Badges.UserId WHERE Badges.Class = 1 GROUP BY Users.Id, Users.Reputation) AS UserByBadge ORDER BY NumBadges DESC LIMIT 100) AS UserByQuestion INNER JOIN Posts ON Posts.OwnerUserId = UserLink WHERE Posts.PostTypeId = 1 GROUP BY UserLink, Rep, NumBadges ORDER BY NumBadges DESC | WITH "UserByBadge" AS (SELECT MAX(1) AS "_" FROM "Users" JOIN "Badges" ON "Badges"."Class" = 1 AND "Badges"."UserId" = "Users"."Id" GROUP BY "Users"."Id", "Users"."Reputation"), "UserByQuestion" AS (SELECT 1 AS "_" FROM "UserByBadge" "UserByBadge" ORDER BY "NumBadges" DESC FETCH FIRST 100 ROWS ONLY) SELECT "UserLink" AS "user_link", "Rep", "NumBadges", COUNT(*) AS "numquestions" FROM "UserByQuestion" "UserByQuestion" JOIN "Posts" ON "Posts"."OwnerUserId" = "UserLink" AND "Posts"."PostTypeId" = 1 GROUP BY "UserLink", "Rep", "NumBadges" ORDER BY "NumBadges" DESC | 0.552734 |
CREATE TABLE table_name_29 (floors NUMBER, metres VARCHAR2, feet VARCHAR2, name VARCHAR2)
| What's the lowest Floors with Feet that's larger htan 262, has a Name of Standard Bank Building, and Metres that's larger htan 138.8? | SELECT MIN(floors) FROM table_name_29 WHERE feet > 262 AND name = "standard bank building" AND metres > 138.8 | SELECT MIN("floors") FROM "table_name_29" WHERE "feet" > 262 AND "metres" > 138.8 AND "name" = "standard bank building" | 0.116211 |
CREATE TABLE table_19252 ("Year ( Ceremony ) " CLOB, "Video game" CLOB, "Publisher ( s ) " CLOB, "Platform ( s ) [A ]" CLOB, "Result" CLOB)
| Name the total number of publishers for flushed away | SELECT COUNT("Publisher(s)") FROM table_19252 WHERE "Video game" = 'Flushed Away' | SELECT COUNT("Publisher(s)") FROM "table_19252" WHERE "Video game" = 'Flushed Away' | 0.081055 |
CREATE TABLE table_10495 ("Date" CLOB, "Champion" CLOB, "2nd Place" CLOB, "Score" CLOB, "Stadium" CLOB)
| Which Stadium was played in when Seven Six was second place? | SELECT "Stadium" FROM table_10495 WHERE "2nd Place" = 'seven six' | SELECT "Stadium" FROM "table_10495" WHERE "2nd Place" = 'seven six' | 0.06543 |
CREATE TABLE PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
CREATE TABLE PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId 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 PostTags (PostId NUMBER, TagId NUMBER)
CREATE TABLE ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment 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 PostTypes (Id NUMBER, Name CLOB)
CREATE TABLE FlagTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE ReviewTaskResultTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE ReviewTaskStates (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 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 PendingFlags (Id NUMBER, FlagTypeId NUMBER, PostId NUMBER, CreationDate TIME, CloseReasonTypeId NUMBER, CloseAsOffTopicReasonTypeId NUMBER, DuplicateOfQuestionId NUMBER, BelongsOnBaseHostAddress CLOB)
CREATE TABLE SuggestedEditVotes (Id NUMBER, SuggestedEditId NUMBER, UserId NUMBER, VoteTypeId NUMBER, CreationDate TIME, TargetUserId NUMBER, TargetRepChange NUMBER)
CREATE TABLE Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount NUMBER)
CREATE TABLE Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
CREATE TABLE PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId NUMBER)
CREATE TABLE ReviewTaskTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Posts (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE CloseAsOffTopicReasonTypes (Id NUMBER, IsUniversal BOOLEAN, InputTitle CLOB, MarkdownInputGuidance CLOB, MarkdownPostOwnerGuidance CLOB, MarkdownPrivilegedUserGuidance CLOB, MarkdownConcensusDescription CLOB, CreationDate TIME, CreationModeratorId NUMBER, ApprovalDate TIME, ApprovalModeratorId NUMBER, DeactivationDate TIME, DeactivationModeratorId NUMBER)
CREATE TABLE Users (Id NUMBER, Reputation NUMBER, CreationDate TIME, DisplayName CLOB, LastAccessDate TIME, WebsiteUrl CLOB, Location CLOB, AboutMe CLOB, Views NUMBER, UpVotes NUMBER, DownVotes NUMBER, ProfileImageUrl CLOB, EmailHash CLOB, AccountId NUMBER)
CREATE TABLE PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
CREATE TABLE PostHistoryTypes (Id NUMBER, Name 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 ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId NUMBER)
CREATE TABLE CloseReasonTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE VoteTypes (Id NUMBER, Name CLOB)
CREATE TABLE ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
CREATE TABLE Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
| people who answered the same question. | SELECT p1.OwnerUserId, p2.OwnerUserId FROM Posts AS p1 JOIN Posts AS p2 ON p1.ParentId = p2.ParentId WHERE p1.OwnerUserId < p2.OwnerUserId AND p1.PostTypeId = 2 AND p2.PostTypeId = 2 | SELECT "p1"."OwnerUserId", "p2"."OwnerUserId" FROM "Posts" "p1" JOIN "Posts" "p2" ON "p1"."OwnerUserId" < "p2"."OwnerUserId" AND "p1"."ParentId" = "p2"."ParentId" AND "p2"."PostTypeId" = 2 WHERE "p1"."PostTypeId" = 2 | 0.210938 |
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 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 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 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_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto 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 chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE d_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_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 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)
| what is the average total cost of a hospital visit that includes partial ostectomy nec in the last year? | SELECT AVG(t1.c1) FROM (SELECT SUM(cost.cost) AS c1 FROM cost WHERE cost.hadm_id IN (SELECT procedures_icd.hadm_id FROM procedures_icd WHERE procedures_icd.icd9_code = (SELECT d_icd_procedures.icd9_code FROM d_icd_procedures WHERE d_icd_procedures.short_title = 'partial ostectomy nec')) AND DATETIME(cost.chargetime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year') GROUP BY cost.hadm_id) AS t1 | WITH "_u_1" AS (SELECT "procedures_icd"."hadm_id" FROM "procedures_icd" JOIN "d_icd_procedures" ON "d_icd_procedures"."icd9_code" = "procedures_icd"."icd9_code" AND "d_icd_procedures"."short_title" = 'partial ostectomy nec' GROUP BY "hadm_id"), "t1" AS (SELECT SUM("cost"."cost") AS "c1" FROM "cost" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "cost"."hadm_id" WHERE DATETIME("cost"."chargetime", 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year') AND NOT "_u_1"."" IS NULL GROUP BY "cost"."hadm_id") SELECT AVG("t1"."c1") FROM "t1" "t1" | 0.540039 |
CREATE TABLE table_name_51 (co_driver VARCHAR2, laps VARCHAR2, year VARCHAR2)
| Who is the co-driver in 1999 with more than 32 laps? | SELECT co_driver FROM table_name_51 WHERE laps > 32 AND year = 1999 | SELECT "co_driver" FROM "table_name_51" WHERE "laps" > 32 AND "year" = 1999 | 0.073242 |
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)
| count the number of patients whose death status is 1 and primary disease is acidosis? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.expire_flag = "1" AND demographic.diagnosis = "ACIDOSIS" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "1" = "demographic"."expire_flag" AND "ACIDOSIS" = "demographic"."diagnosis" | 0.147461 |
CREATE TABLE phone (Name CLOB, Phone_ID NUMBER, Memory_in_G NUMBER, Carrier CLOB, Price FLOAT)
CREATE TABLE phone_market (Market_ID NUMBER, Phone_ID CLOB, Num_of_stock NUMBER)
CREATE TABLE market (Market_ID NUMBER, District CLOB, Num_of_employees NUMBER, Num_of_shops FLOAT, Ranking NUMBER)
| A bar chart about what are the memories and carriers of phones?, sort x-axis from low to high order please. | SELECT Carrier, AVG(Memory_in_G) FROM phone GROUP BY Carrier ORDER BY Carrier | SELECT "Carrier", AVG("Memory_in_G") FROM "phone" GROUP BY "Carrier" ORDER BY "Carrier" | 0.084961 |
CREATE TABLE table_name_67 (sequence_length__aa_ NUMBER, common_name VARCHAR2, divergence_from_human_lineage__mya_ VARCHAR2)
| What is the sequence length (aa) of the protein with the common name Purple Sea Urchin and a divergence from human lineage less than 742.9? | SELECT SUM(sequence_length__aa_) FROM table_name_67 WHERE common_name = "purple sea urchin" AND divergence_from_human_lineage__mya_ < 742.9 | SELECT SUM("sequence_length__aa_") FROM "table_name_67" WHERE "common_name" = "purple sea urchin" AND "divergence_from_human_lineage__mya_" < 742.9 | 0.143555 |
CREATE TABLE table_79436 ("Round" FLOAT, "Pick" FLOAT, "Player" CLOB, "Position" CLOB, "School" CLOB)
| From what school was the player drafted in round 3? | SELECT "School" FROM table_79436 WHERE "Round" = '3' | SELECT "School" FROM "table_79436" WHERE "Round" = '3' | 0.052734 |
CREATE TABLE CLASS (CLASS_CODE VARCHAR2, CRS_CODE VARCHAR2, CLASS_SECTION VARCHAR2, CLASS_TIME VARCHAR2, CLASS_ROOM VARCHAR2, PROF_NUM NUMBER)
CREATE TABLE PROFESSOR (EMP_NUM NUMBER, DEPT_CODE VARCHAR2, PROF_OFFICE VARCHAR2, PROF_EXTENSION VARCHAR2, PROF_HIGH_DEGREE VARCHAR2)
CREATE TABLE COURSE (CRS_CODE VARCHAR2, DEPT_CODE VARCHAR2, CRS_DESCRIPTION VARCHAR2, CRS_CREDIT FLOAT)
CREATE TABLE EMPLOYEE (EMP_NUM NUMBER, EMP_LNAME VARCHAR2, EMP_FNAME VARCHAR2, EMP_INITIAL VARCHAR2, EMP_JOBCODE VARCHAR2, EMP_HIREDATE DATETIME, EMP_DOB DATETIME)
CREATE TABLE STUDENT (STU_NUM NUMBER, STU_LNAME VARCHAR2, STU_FNAME VARCHAR2, STU_INIT VARCHAR2, STU_DOB DATETIME, STU_HRS NUMBER, STU_CLASS VARCHAR2, STU_GPA FLOAT, STU_TRANSFER NUMBER, DEPT_CODE VARCHAR2, STU_PHONE VARCHAR2, PROF_NUM NUMBER)
CREATE TABLE DEPARTMENT (DEPT_CODE VARCHAR2, DEPT_NAME VARCHAR2, SCHOOL_CODE VARCHAR2, EMP_NUM NUMBER, DEPT_ADDRESS VARCHAR2, DEPT_EXTENSION VARCHAR2)
CREATE TABLE ENROLL (CLASS_CODE VARCHAR2, STU_NUM NUMBER, ENROLL_GRADE VARCHAR2)
| Pie. what is the first name and GPA of every student that has a GPA lower than average? | SELECT STU_FNAME, SUM(STU_GPA) FROM STUDENT WHERE STU_GPA < (SELECT AVG(STU_GPA) FROM STUDENT) GROUP BY STU_FNAME | SELECT "STU_FNAME", SUM("STU_GPA") FROM "STUDENT" WHERE "STU_GPA" < (SELECT AVG("STU_GPA") FROM "STUDENT") GROUP BY "STU_FNAME" | 0.124023 |
CREATE TABLE table_name_67 (rank NUMBER, date VARCHAR2, attendance VARCHAR2)
| What's the rank for February 11, 2012 with less than 18,735 in attendance? | SELECT AVG(rank) FROM table_name_67 WHERE date = "february 11, 2012" AND attendance < 18 OFFSET 735 | SELECT AVG("rank") FROM "table_name_67" WHERE "attendance" < 18 AND "date" = "february 11, 2012" OFFSET 735 ROWS | 0.109375 |
CREATE TABLE table_203_824 (id NUMBER, "pick #" NUMBER, "player" CLOB, "position" CLOB, "nationality" CLOB, "nhl team" CLOB, "college/junior/club team" CLOB)
| which nationality is both scott birnie and bob mormina ? | SELECT "nationality" FROM table_203_824 WHERE "player" = 'scott birnie' | SELECT "nationality" FROM "table_203_824" WHERE "player" = 'scott birnie' | 0.071289 |
CREATE TABLE table_6594 ("Locomotive" CLOB, "Delivered as" CLOB, "Entered service" CLOB, "Owner" CLOB, "Status" CLOB)
| What is the Delivered as name of the H3 Locomotive? | SELECT "Delivered as" FROM table_6594 WHERE "Locomotive" = 'h3' | SELECT "Delivered as" FROM "table_6594" WHERE "Locomotive" = 'h3' | 0.063477 |
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 lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime TIME)
CREATE TABLE treatment (treatmentid NUMBER, patientunitstayid NUMBER, treatmentname CLOB, treatmenttime TIME)
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 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 allergy (allergyid NUMBER, patientunitstayid NUMBER, drugname CLOB, allergyname CLOB, allergytime TIME)
CREATE TABLE vitalperiodic (vitalperiodicid NUMBER, patientunitstayid NUMBER, temperature NUMBER, sao2 NUMBER, heartrate NUMBER, respiration NUMBER, systemicsystolic NUMBER, systemicdiastolic NUMBER, systemicmean NUMBER, observationtime TIME)
CREATE TABLE cost (costid NUMBER, uniquepid CLOB, patienthealthsystemstayid NUMBER, eventtype CLOB, eventid NUMBER, chargetime TIME, cost NUMBER)
| count the number of patients who had the intake of per iv flush: wrist r 18 gauge. | SELECT COUNT(DISTINCT patient.uniquepid) FROM patient WHERE patient.patientunitstayid IN (SELECT intakeoutput.patientunitstayid FROM intakeoutput WHERE intakeoutput.celllabel = 'per iv flush: wrist r 18 gauge' AND intakeoutput.cellpath LIKE '%input%') | WITH "_u_0" AS (SELECT "intakeoutput"."patientunitstayid" FROM "intakeoutput" WHERE "intakeoutput"."celllabel" = 'per iv flush: wrist r 18 gauge' AND "intakeoutput"."cellpath" LIKE '%input%' GROUP BY "patientunitstayid") SELECT COUNT(DISTINCT "patient"."uniquepid") FROM "patient" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "patient"."patientunitstayid" WHERE NOT "_u_0"."" IS NULL | 0.368164 |
CREATE TABLE Rooms (RoomId CLOB, roomName CLOB, beds NUMBER, bedType CLOB, maxOccupancy NUMBER, basePrice NUMBER, decor CLOB)
CREATE TABLE Reservations (Code NUMBER, Room CLOB, CheckIn CLOB, CheckOut CLOB, Rate FLOAT, LastName CLOB, FirstName CLOB, Adults NUMBER, Kids NUMBER)
| Return the room and number of reservations made for each of the rooms to draw a bar chart, I want to order in asc by the y axis. | SELECT Room, COUNT(*) FROM Reservations AS T1 JOIN Rooms AS T2 ON T1.Room = T2.RoomId GROUP BY T1.Room ORDER BY COUNT(*) | SELECT "Room", COUNT(*) FROM "Reservations" "T1" JOIN "Rooms" "T2" ON "T1"."Room" = "T2"."RoomId" GROUP BY "T1"."Room" ORDER BY COUNT(*) | 0.132813 |
CREATE TABLE table_14117 ("Title" CLOB, "Series" CLOB, "Director" CLOB, "Production Number" CLOB, "Release date" CLOB, "reissue?" CLOB)
| What is the title of the production with a number of 1039? | SELECT "Title" FROM table_14117 WHERE "Production Number" = '1039' | SELECT "Title" FROM "table_14117" WHERE "Production Number" = '1039' | 0.066406 |
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)
| Count the number of inpatient hospital admission patients who have neoplasm of uncertain behavior of other lymphatic and hematopoietic tissues/bone marrow transplant as their primary disease. | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.admission_location = "TRANSFER FROM HOSP/EXTRAM" AND demographic.diagnosis = "NEOPLASM OF UNCERTAIN BEHAVIOR OF OTHER LYMPHATIC AND HEMATOPOIETIC TISSUES\BONE MARROW TRANSPLANT" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "NEOPLASM OF UNCERTAIN BEHAVIOR OF OTHER LYMPHATIC AND HEMATOPOIETIC TISSUES\BONE MARROW TRANSPLANT" = "demographic"."diagnosis" AND "TRANSFER FROM HOSP/EXTRAM" = "demographic"."admission_location" | 0.265625 |
CREATE TABLE coach (coach_id NUMBER, coach_name CLOB, gender CLOB, club_id NUMBER, rank NUMBER)
CREATE TABLE club (club_id NUMBER, club_name CLOB, region CLOB, start_year NUMBER)
CREATE TABLE player_coach (player_id NUMBER, coach_id NUMBER, starting_year NUMBER)
CREATE TABLE player (player_id NUMBER, sponsor_name CLOB, player_name CLOB, gender CLOB, residence CLOB, occupation CLOB, votes NUMBER, rank CLOB)
CREATE TABLE match_result (rank NUMBER, club_id NUMBER, gold NUMBER, big_silver NUMBER, small_silver NUMBER, bronze NUMBER, points NUMBER)
| Show different occupations along with the number of players in each occupation. | SELECT occupation, COUNT(*) FROM player GROUP BY occupation | SELECT "occupation", COUNT(*) FROM "player" GROUP BY "occupation" | 0.063477 |
CREATE TABLE table_53127 ("Year" FLOAT, "Award Ceremony" CLOB, "Category" CLOB, "Nominee" CLOB, "Result" CLOB)
| Which Nominee has a Category of outstanding musical? | SELECT "Nominee" FROM table_53127 WHERE "Category" = 'outstanding musical' | SELECT "Nominee" FROM "table_53127" WHERE "Category" = 'outstanding musical' | 0.074219 |
CREATE TABLE table_name_44 (country VARCHAR2, opponent VARCHAR2)
| What country had an opponent of Sampdoria? | SELECT country FROM table_name_44 WHERE opponent = "sampdoria" | SELECT "country" FROM "table_name_44" WHERE "opponent" = "sampdoria" | 0.066406 |
CREATE TABLE table_56202 ("Year" CLOB, "Date" CLOB, "Venue" CLOB, "Winner" CLOB, "Country" CLOB, "Score" CLOB, "To par" CLOB, "Margin of victory" CLOB, "Runner ( s ) -up" CLOB, "Winner's share ( \\u20ac ) " CLOB)
| I want the country for score of 274 and runner-up of virginie lagoutte-cl ment | SELECT "Country" FROM table_56202 WHERE "Score" = '274' AND "Runner(s)-up" = 'virginie lagoutte-clément' | SELECT "Country" FROM "table_56202" WHERE "Runner(s)-up" = 'virginie lagoutte-clément' AND "Score" = '274' | 0.103516 |
CREATE TABLE table_18254488_2 (uefa_champions_league NUMBER)
| What is the highest amount of uefa champion leagues? | SELECT MAX(uefa_champions_league) FROM table_18254488_2 | SELECT MAX("uefa_champions_league") FROM "table_18254488_2" | 0.057617 |
CREATE TABLE table_203_491 (id NUMBER, "year" NUMBER, "title" CLOB, "us hot 100" NUMBER, "us modern rock" NUMBER, "us mainstream rock" NUMBER, "album" CLOB)
| what is the first single listed ? | SELECT "title" FROM table_203_491 WHERE id = 1 | SELECT "title" FROM "table_203_491" WHERE "id" = 1 | 0.048828 |
CREATE TABLE table_203_424 (id NUMBER, "year" NUMBER, "starts" NUMBER, "wins" NUMBER, "top 5" NUMBER, "top 10" NUMBER, "poles" NUMBER, "avg. start" NUMBER, "avg. finish" NUMBER, "winnings" CLOB, "position" CLOB, "team ( s ) " CLOB)
| what is the difference between his greatest amount of yearly winnings and his least ? | SELECT MAX("winnings") - MIN("winnings") FROM table_203_424 | SELECT MAX("winnings") - MIN("winnings") FROM "table_203_424" | 0.05957 |
CREATE TABLE table_203_77 (id NUMBER, "album title" CLOB, "format" CLOB, "year" NUMBER, "original label" CLOB, "chart positions" CLOB)
| what album title came next after get lost ? | SELECT "album title" FROM table_203_77 WHERE id = (SELECT id FROM table_203_77 WHERE "album title" = 'get lost') + 1 | SELECT "album title" FROM "table_203_77" WHERE "id" = (SELECT "id" FROM "table_203_77" WHERE "album title" = 'get lost') + 1 | 0.121094 |
CREATE TABLE mountain (id NUMBER, name CLOB, Height FLOAT, Prominence FLOAT, Range CLOB, Country CLOB)
CREATE TABLE photos (id NUMBER, camera_lens_id NUMBER, mountain_id NUMBER, color CLOB, name CLOB)
CREATE TABLE camera_lens (id NUMBER, brand CLOB, name CLOB, focal_length_mm FLOAT, max_aperture FLOAT)
| Draw a bar chart for what is the name of each camera lens and the number of photos taken by it? Order the result by the count of photos. | SELECT T1.name, COUNT(*) FROM camera_lens AS T1 JOIN photos AS T2 ON T1.id = T2.camera_lens_id GROUP BY T1.id ORDER BY COUNT(*) | SELECT "T1"."name", COUNT(*) FROM "camera_lens" "T1" JOIN "photos" "T2" ON "T1"."id" = "T2"."camera_lens_id" GROUP BY "T1"."id" ORDER BY COUNT(*) | 0.141602 |
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 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 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 lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime TIME)
CREATE TABLE diagnosis (diagnosisid NUMBER, patientunitstayid NUMBER, diagnosisname CLOB, diagnosistime TIME, icd9code CLOB)
CREATE TABLE medication (medicationid NUMBER, patientunitstayid NUMBER, drugname CLOB, dosage CLOB, routeadmin CLOB, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE allergy (allergyid NUMBER, patientunitstayid NUMBER, drugname CLOB, allergyname CLOB, allergytime TIME)
| how many days has it been since the last time patient 011-55642's procedure during the current hospital encounter? | SELECT 1 * (STRFTIME('%j', CURRENT_TIME()) - STRFTIME('%j', 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 = '011-55642' AND patient.hospitaldischargetime IS NULL)) ORDER BY treatment.treatmenttime DESC LIMIT 1 | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."hospitaldischargetime" IS NULL AND "patient"."uniquepid" = '011-55642' 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 1 * (STRFTIME('%j', CURRENT_TIME()) - STRFTIME('%j', "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" DESC FETCH FIRST 1 ROWS ONLY | 0.65625 |
CREATE TABLE table_23285849_8 (record VARCHAR2, score VARCHAR2)
| Name the record for l 106 116 (ot) | SELECT record FROM table_23285849_8 WHERE score = "L 106–116 (OT)" | SELECT "record" FROM "table_23285849_8" WHERE "L 106–116 (OT)" = "score" | 0.070313 |
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)
CREATE TABLE employees (EMPLOYEE_ID NUMBER, FIRST_NAME VARCHAR2, LAST_NAME VARCHAR2, EMAIL VARCHAR2, PHONE_NUMBER VARCHAR2, HIRE_DATE DATE, JOB_ID VARCHAR2, SALARY NUMBER, COMMISSION_PCT NUMBER, MANAGER_ID NUMBER, DEPARTMENT_ID NUMBER)
CREATE TABLE regions (REGION_ID NUMBER, REGION_NAME VARCHAR2)
CREATE TABLE locations (LOCATION_ID NUMBER, STREET_ADDRESS VARCHAR2, POSTAL_CODE VARCHAR2, CITY VARCHAR2, STATE_PROVINCE VARCHAR2, COUNTRY_ID VARCHAR2)
CREATE TABLE job_history (EMPLOYEE_ID NUMBER, START_DATE DATE, END_DATE DATE, JOB_ID VARCHAR2, DEPARTMENT_ID NUMBER)
CREATE TABLE departments (DEPARTMENT_ID NUMBER, DEPARTMENT_NAME VARCHAR2, MANAGER_ID NUMBER, LOCATION_ID NUMBER)
| For those employees who did not have any job in the past, draw a bar chart about the distribution of job_id and the sum of salary , and group by attribute job_id, could you sort by the Y in ascending please? | SELECT JOB_ID, SUM(SALARY) FROM employees WHERE NOT EMPLOYEE_ID IN (SELECT EMPLOYEE_ID FROM job_history) GROUP BY JOB_ID ORDER BY SUM(SALARY) | SELECT "JOB_ID", SUM("SALARY") FROM "employees" WHERE NOT "EMPLOYEE_ID" IN (SELECT "EMPLOYEE_ID" FROM "job_history") GROUP BY "JOB_ID" ORDER BY SUM("SALARY") | 0.15332 |
CREATE TABLE table_56746 ("Home team" CLOB, "Home team score" CLOB, "Away team" CLOB, "Away team score" CLOB, "Venue" CLOB, "Crowd" FLOAT, "Date" CLOB)
| What away team played when the crowd was over 27,463 people? | SELECT "Away team" FROM table_56746 WHERE "Crowd" > '27,463' | SELECT "Away team" FROM "table_56746" WHERE "Crowd" > '27,463' | 0.060547 |
CREATE TABLE table_64742 ("Rank" FLOAT, "Name" CLOB, "Height ft ( m ) " CLOB, "Floors" FLOAT, "Year" FLOAT)
| What is the name before 1954 with more than 15 floors? | SELECT "Name" FROM table_64742 WHERE "Year" < '1954' AND "Floors" > '15' | SELECT "Name" FROM "table_64742" WHERE "Floors" > '15' AND "Year" < '1954' | 0.072266 |
CREATE TABLE Products (Code NUMBER, Name VARCHAR2, Price NUMBER, Manufacturer NUMBER)
CREATE TABLE Manufacturers (Code NUMBER, Name VARCHAR2, Headquarter VARCHAR2, Founder VARCHAR2, Revenue FLOAT)
| For those records from the products and each product's manufacturer, give me the comparison about the average of code over the name , and group by attribute name, I want to list from high to low by the total number. | SELECT T1.Name, T1.Code FROM Products AS T1 JOIN Manufacturers AS T2 ON T1.Manufacturer = T2.Code GROUP BY T1.Name ORDER BY T1.Code DESC | SELECT "T1"."Name", "T1"."Code" FROM "Products" "T1" JOIN "Manufacturers" "T2" ON "T1"."Manufacturer" = "T2"."Code" GROUP BY "T1"."Name" ORDER BY "T1"."Code" DESC | 0.158203 |
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 d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
CREATE TABLE diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
CREATE TABLE prescriptions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, startdate TIME, enddate TIME, drug CLOB, dose_val_rx CLOB, dose_unit_rx CLOB, route CLOB)
CREATE TABLE 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 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 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 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 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)
| count the number of patients who were diagnosed with sec hyperparathyrd-renal until 3 years ago and did not return to the hospital within 2 months. | SELECT (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 = 'sec hyperparathyrd-renal') AND DATETIME(diagnoses_icd.charttime) <= DATETIME(CURRENT_TIME(), '-3 year')) AS t1) - (SELECT COUNT(DISTINCT t2.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 = 'sec hyperparathyrd-renal') AND DATETIME(diagnoses_icd.charttime) <= DATETIME(CURRENT_TIME(), '-3 year')) AS t2 JOIN admissions ON t2.subject_id = admissions.subject_id WHERE t2.charttime < admissions.admittime AND DATETIME(admissions.admittime) <= DATETIME(CURRENT_TIME(), '-3 year') AND DATETIME(admissions.admittime) BETWEEN DATETIME(t2.charttime) AND DATETIME(t2.charttime, '+2 month')) | WITH "_u_0" AS (SELECT "d_icd_diagnoses"."icd9_code" FROM "d_icd_diagnoses" WHERE "d_icd_diagnoses"."short_title" = 'sec hyperparathyrd-renal') SELECT (SELECT COUNT(DISTINCT "admissions"."subject_id") FROM "diagnoses_icd" JOIN "_u_0" "_u_0" ON "_u_0"."icd9_code" = "diagnoses_icd"."icd9_code" JOIN "admissions" ON "admissions"."hadm_id" = "diagnoses_icd"."hadm_id" WHERE DATETIME("diagnoses_icd"."charttime") <= DATETIME(CURRENT_TIME(), '-3 year')) - (SELECT COUNT(DISTINCT "admissions_2"."subject_id") FROM "diagnoses_icd" JOIN "_u_0" "_u_2" ON "_u_2"."icd9_code" = "diagnoses_icd"."icd9_code" JOIN "admissions" "admissions_2" ON "admissions_2"."hadm_id" = "diagnoses_icd"."hadm_id" JOIN "admissions" ON "admissions"."admittime" > "diagnoses_icd"."charttime" AND "admissions"."subject_id" = "admissions_2"."subject_id" AND DATETIME("admissions"."admittime") <= DATETIME("diagnoses_icd"."charttime", '+2 month') AND DATETIME("admissions"."admittime") <= DATETIME(CURRENT_TIME(), '-3 year') AND DATETIME("admissions"."admittime") >= DATETIME("diagnoses_icd"."charttime") WHERE DATETIME("diagnoses_icd"."charttime") <= DATETIME(CURRENT_TIME(), '-3 year')) | 1.125977 |
CREATE TABLE requirement (requirement_id NUMBER, requirement VARCHAR2, college VARCHAR2)
CREATE TABLE comment_instructor (instructor_id NUMBER, student_id NUMBER, score NUMBER, comment_text 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 ta (campus_job_id NUMBER, student_id NUMBER, location VARCHAR2)
CREATE TABLE instructor (instructor_id NUMBER, name VARCHAR2, uniqname VARCHAR2)
CREATE TABLE course_prerequisite (pre_course_id NUMBER, course_id NUMBER)
CREATE TABLE program (program_id NUMBER, name VARCHAR2, college VARCHAR2, introduction VARCHAR2)
CREATE TABLE semester (semester_id NUMBER, semester VARCHAR2, year NUMBER)
CREATE TABLE area (course_id NUMBER, area VARCHAR2)
CREATE TABLE jobs (job_id NUMBER, job_title VARCHAR2, description VARCHAR2, requirement VARCHAR2, city VARCHAR2, state VARCHAR2, country VARCHAR2, zip NUMBER)
CREATE TABLE program_course (program_id NUMBER, course_id NUMBER, workload NUMBER, category VARCHAR2)
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 gsi (course_offering_id NUMBER, student_id NUMBER)
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 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_requirement (program_id NUMBER, category VARCHAR2, min_credit NUMBER, additional_req 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)
| There are labs in how many upper level classes ? | SELECT COUNT(DISTINCT course.course_id) FROM course INNER JOIN program_course ON program_course.course_id = course.course_id WHERE course.has_lab = 'Y' AND program_course.category LIKE '%ULCS%' | SELECT COUNT(DISTINCT "course"."course_id") FROM "course" JOIN "program_course" ON "course"."course_id" = "program_course"."course_id" AND "program_course"."category" LIKE '%ULCS%' WHERE "course"."has_lab" = 'Y' | 0.206055 |
CREATE TABLE table_28437 ("Sd" FLOAT, "Rk" FLOAT, "Player" CLOB, "Points" FLOAT, "Points defending" FLOAT, "Points won" FLOAT, "New points" FLOAT, "Status" CLOB)
| how many time was points 6675? | SELECT COUNT("Points won") FROM table_28437 WHERE "Points" = '6675' | SELECT COUNT("Points won") FROM "table_28437" WHERE "Points" = '6675' | 0.067383 |
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 dual_carrier (main_airline VARCHAR2, low_flight_number NUMBER, high_flight_number NUMBER, dual_airline VARCHAR2, service_name CLOB)
CREATE TABLE city (city_code VARCHAR2, city_name VARCHAR2, state_code VARCHAR2, country_name VARCHAR2, time_zone_code VARCHAR2)
CREATE TABLE flight_leg (flight_id NUMBER, leg_number NUMBER, leg_flight NUMBER)
CREATE TABLE state (state_code CLOB, state_name CLOB, country_name CLOB)
CREATE TABLE days (days_code VARCHAR2, day_name 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 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 time_zone (time_zone_code CLOB, time_zone_name CLOB, hours_from_gmt NUMBER)
CREATE TABLE month (month_number NUMBER, month_name CLOB)
CREATE TABLE equipment_sequence (aircraft_code_sequence VARCHAR2, aircraft_code VARCHAR2)
CREATE TABLE airport (airport_code VARCHAR2, airport_name CLOB, airport_location CLOB, state_code VARCHAR2, country_name VARCHAR2, time_zone_code VARCHAR2, minimum_connect_time NUMBER)
CREATE TABLE flight_fare (flight_id NUMBER, fare_id NUMBER)
CREATE TABLE fare (fare_id NUMBER, from_airport VARCHAR2, to_airport VARCHAR2, fare_basis_code CLOB, fare_airline CLOB, restriction_code CLOB, one_direction_cost NUMBER, round_trip_cost NUMBER, round_trip_required VARCHAR2)
CREATE TABLE 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 airline (airline_code VARCHAR2, airline_name CLOB, note CLOB)
CREATE TABLE date_day (month_number NUMBER, day_number NUMBER, year NUMBER, day_name 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 compartment_class (compartment VARCHAR2, class_type VARCHAR2)
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 code_description (code VARCHAR2, description 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)
| show me the flights on TW to ATLANTA in the morning | SELECT DISTINCT flight.flight_id FROM airport_service, city, flight WHERE ((flight.arrival_time <= 1200 AND flight.arrival_time >= 0) AND city.city_code = airport_service.city_code AND city.city_name = 'ATLANTA' AND flight.to_airport = airport_service.airport_code) AND flight.airline_code = 'TW' | SELECT DISTINCT "flight"."flight_id" FROM "airport_service" JOIN "city" ON "airport_service"."city_code" = "city"."city_code" AND "city"."city_name" = 'ATLANTA' JOIN "flight" ON "airport_service"."airport_code" = "flight"."to_airport" AND "flight"."airline_code" = 'TW' AND "flight"."arrival_time" <= 1200 AND "flight"."arrival_time" >= 0 | 0.330078 |
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)
| count the number of patients whose admission year is less than 2179 and procedure long title is (aorto)coronary bypass of one coronary artery? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.admityear < "2179" AND procedures.long_title = "(Aorto)coronary bypass of one coronary artery" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "procedures" ON "(Aorto)coronary bypass of one coronary artery" = "procedures"."long_title" AND "demographic"."hadm_id" = "procedures"."hadm_id" WHERE "2179" > "demographic"."admityear" | 0.25293 |
CREATE TABLE table_27280 ("Episode #" FLOAT, "Production Count" FLOAT, "Original Airdate" CLOB, "Prod. Code" CLOB, "Title" CLOB, "Viewing Figures Millions" CLOB)
| What are the original air date(s) for episodes with production code ipea343l? | SELECT "Original Airdate" FROM table_27280 WHERE "Prod. Code" = 'IPEA343L' | SELECT "Original Airdate" FROM "table_27280" WHERE "Prod. Code" = 'IPEA343L' | 0.074219 |
CREATE TABLE table_name_11 (sport VARCHAR2, league VARCHAR2, venue VARCHAR2)
| Which Sport has a League of continental basketball league, and a Venue of avalon middle school? | SELECT sport FROM table_name_11 WHERE league = "continental basketball league" AND venue = "avalon middle school" | SELECT "sport" FROM "table_name_11" WHERE "avalon middle school" = "venue" AND "continental basketball league" = "league" | 0.118164 |
CREATE TABLE table_name_35 (money___$__ VARCHAR2, score VARCHAR2)
| What is Money ( $ ), when Score is '75-71-72-70=288'? | SELECT money___$__ FROM table_name_35 WHERE score = 75 - 71 - 72 - 70 = 288 | SELECT "money___$__" FROM "table_name_35" WHERE "score" = FALSE | 0.061523 |
CREATE TABLE table_name_69 (away_team VARCHAR2, venue VARCHAR2)
| Who played in lake oval while away? | SELECT away_team FROM table_name_69 WHERE venue = "lake oval" | SELECT "away_team" FROM "table_name_69" WHERE "lake oval" = "venue" | 0.06543 |
CREATE TABLE table_204_473 (id NUMBER, "pos" CLOB, "no" NUMBER, "driver" CLOB, "constructor" CLOB, "laps" NUMBER, "time/retired" CLOB, "grid" NUMBER, "points" NUMBER)
| who scored the most points ? | SELECT "driver" FROM table_204_473 ORDER BY "points" DESC LIMIT 1 | SELECT "driver" FROM "table_204_473" ORDER BY "points" DESC FETCH FIRST 1 ROWS ONLY | 0.081055 |
CREATE TABLE table_name_37 (surface VARCHAR2, opponent VARCHAR2)
| What is the surface of the tournament with Sascha Kloer as the opponent? | SELECT surface FROM table_name_37 WHERE opponent = "sascha kloer" | SELECT "surface" FROM "table_name_37" WHERE "opponent" = "sascha kloer" | 0.069336 |
CREATE TABLE table_18903 ("Rnd" FLOAT, "Circuit" CLOB, "GTO Winning Team" CLOB, "GTU Winning Team" CLOB, "TO Winning Team" CLOB, "TU Winning Team" CLOB, "Results" CLOB)
| Who is GTU Winning Team's #27 Don Lindley's TO Winning Team? | SELECT "TO Winning Team" FROM table_18903 WHERE "GTU Winning Team" = '#27 Don Lindley' | SELECT "TO Winning Team" FROM "table_18903" WHERE "GTU Winning Team" = '#27 Don Lindley' | 0.085938 |
CREATE TABLE employees (EMPLOYEE_ID NUMBER, FIRST_NAME VARCHAR2, LAST_NAME VARCHAR2, EMAIL VARCHAR2, PHONE_NUMBER VARCHAR2, HIRE_DATE DATE, JOB_ID VARCHAR2, SALARY NUMBER, COMMISSION_PCT NUMBER, MANAGER_ID NUMBER, DEPARTMENT_ID NUMBER)
CREATE TABLE regions (REGION_ID NUMBER, REGION_NAME VARCHAR2)
CREATE TABLE departments (DEPARTMENT_ID NUMBER, DEPARTMENT_NAME VARCHAR2, MANAGER_ID NUMBER, LOCATION_ID NUMBER)
CREATE TABLE jobs (JOB_ID VARCHAR2, JOB_TITLE VARCHAR2, MIN_SALARY NUMBER, MAX_SALARY NUMBER)
CREATE TABLE job_history (EMPLOYEE_ID NUMBER, START_DATE DATE, END_DATE DATE, JOB_ID VARCHAR2, DEPARTMENT_ID NUMBER)
CREATE TABLE countries (COUNTRY_ID VARCHAR2, COUNTRY_NAME VARCHAR2, REGION_ID NUMBER)
CREATE TABLE locations (LOCATION_ID NUMBER, STREET_ADDRESS VARCHAR2, POSTAL_CODE VARCHAR2, CITY VARCHAR2, STATE_PROVINCE VARCHAR2, COUNTRY_ID VARCHAR2)
| For those employees who do not work in departments with managers that have ids between 100 and 200, draw a bar chart about the distribution of email and department_id , I want to list Y-axis from high to low order please. | SELECT EMAIL, DEPARTMENT_ID FROM employees WHERE NOT DEPARTMENT_ID IN (SELECT DEPARTMENT_ID FROM departments WHERE MANAGER_ID BETWEEN 100 AND 200) ORDER BY DEPARTMENT_ID DESC | SELECT "EMAIL", "DEPARTMENT_ID" FROM "employees" WHERE NOT "DEPARTMENT_ID" IN (SELECT "DEPARTMENT_ID" FROM "departments" WHERE "MANAGER_ID" <= 200 AND "MANAGER_ID" >= 100) ORDER BY "DEPARTMENT_ID" DESC | 0.196289 |
CREATE TABLE airport_service (city_code VARCHAR2, airport_code VARCHAR2, miles_distant NUMBER, direction VARCHAR2, minutes_distant NUMBER)
CREATE TABLE days (days_code VARCHAR2, day_name VARCHAR2)
CREATE TABLE airline (airline_code VARCHAR2, airline_name CLOB, note CLOB)
CREATE TABLE equipment_sequence (aircraft_code_sequence VARCHAR2, aircraft_code VARCHAR2)
CREATE TABLE dual_carrier (main_airline VARCHAR2, low_flight_number NUMBER, high_flight_number NUMBER, dual_airline VARCHAR2, service_name CLOB)
CREATE TABLE flight_stop (flight_id NUMBER, stop_number NUMBER, stop_days CLOB, stop_airport CLOB, arrival_time NUMBER, arrival_airline CLOB, arrival_flight_number NUMBER, departure_time NUMBER, departure_airline CLOB, departure_flight_number NUMBER, stop_time NUMBER)
CREATE TABLE restriction (restriction_code CLOB, advance_purchase NUMBER, stopovers CLOB, saturday_stay_required CLOB, minimum_stay NUMBER, maximum_stay NUMBER, application CLOB, no_discounts CLOB)
CREATE TABLE fare (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 code_description (code VARCHAR2, description CLOB)
CREATE TABLE flight_leg (flight_id NUMBER, leg_number NUMBER, leg_flight NUMBER)
CREATE TABLE aircraft (aircraft_code VARCHAR2, aircraft_description VARCHAR2, manufacturer VARCHAR2, basic_type VARCHAR2, engines NUMBER, propulsion VARCHAR2, wide_body VARCHAR2, wing_span NUMBER, length NUMBER, weight NUMBER, capacity NUMBER, pay_load NUMBER, cruising_speed NUMBER, range_miles NUMBER, pressurized VARCHAR2)
CREATE TABLE 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 month (month_number NUMBER, month_name CLOB)
CREATE TABLE state (state_code CLOB, state_name CLOB, country_name CLOB)
CREATE TABLE ground_service (city_code CLOB, airport_code CLOB, transport_type CLOB, ground_fare NUMBER)
CREATE TABLE time_interval (period CLOB, begin_time NUMBER, end_time 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 food_service (meal_code CLOB, meal_number NUMBER, compartment CLOB, meal_description VARCHAR2)
CREATE TABLE date_day (month_number NUMBER, day_number NUMBER, year NUMBER, day_name VARCHAR2)
CREATE TABLE flight_fare (flight_id NUMBER, fare_id NUMBER)
CREATE TABLE class_of_service (booking_class VARCHAR2, rank NUMBER, class_description CLOB)
CREATE TABLE compartment_class (compartment VARCHAR2, class_type VARCHAR2)
CREATE TABLE time_zone (time_zone_code CLOB, time_zone_name CLOB, hours_from_gmt 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 city (city_code VARCHAR2, city_name VARCHAR2, state_code VARCHAR2, country_name VARCHAR2, time_zone_code VARCHAR2)
| please list the flights from PITTSBURGH to BALTIMORE arriving 5 7 | SELECT DISTINCT flight.flight_id FROM airport_service AS AIRPORT_SERVICE_0, airport_service AS AIRPORT_SERVICE_1, city AS CITY_0, city AS CITY_1, date_day, days, flight, state WHERE (CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'BALTIMORE' AND date_day.day_number = 6 AND date_day.month_number = 5 AND date_day.year = 1991 AND days.day_name = date_day.day_name AND flight.flight_days = days.days_code AND flight.to_airport = AIRPORT_SERVICE_1.airport_code) AND CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'PITTSBURGH' AND flight.from_airport = AIRPORT_SERVICE_0.airport_code AND state.state_code = CITY_0.state_code AND state.state_name = 'state_name0' | SELECT DISTINCT "flight"."flight_id" FROM "airport_service" "AIRPORT_SERVICE_0" JOIN "date_day" ON "date_day"."day_number" = 6 AND "date_day"."month_number" = 5 AND "date_day"."year" = 1991 JOIN "city" "CITY_0" ON "AIRPORT_SERVICE_0"."city_code" = "CITY_0"."city_code" AND "CITY_0"."city_name" = 'PITTSBURGH' JOIN "days" ON "date_day"."day_name" = "days"."day_name" JOIN "flight" ON "AIRPORT_SERVICE_0"."airport_code" = "flight"."from_airport" AND "days"."days_code" = "flight"."flight_days" JOIN "state" ON "CITY_0"."state_code" = "state"."state_code" AND "state"."state_name" = 'state_name0' JOIN "airport_service" "AIRPORT_SERVICE_1" ON "AIRPORT_SERVICE_1"."airport_code" = "flight"."to_airport" JOIN "city" "CITY_1" ON "AIRPORT_SERVICE_1"."city_code" = "CITY_1"."city_code" AND "CITY_1"."city_name" = 'BALTIMORE' | 0.796875 |
CREATE TABLE table_3005450_1 (station VARCHAR2, metlink_code VARCHAR2)
| what is the name of the station where the metlink code is mata? | SELECT station FROM table_3005450_1 WHERE metlink_code = "MATA" | SELECT "station" FROM "table_3005450_1" WHERE "MATA" = "metlink_code" | 0.067383 |
CREATE TABLE table_142573_1 (clock_rate__mhz_ VARCHAR2, bandwidth__mb_s_ VARCHAR2)
| Name the number of clock rate mhz when bandwidth mb/s is 2400 | SELECT COUNT(clock_rate__mhz_) FROM table_142573_1 WHERE bandwidth__mb_s_ = 2400 | SELECT COUNT("clock_rate__mhz_") FROM "table_142573_1" WHERE "bandwidth__mb_s_" = 2400 | 0.083984 |
CREATE TABLE table_name_46 (source VARCHAR2, undecided VARCHAR2)
| Which Source has a Undecided of 2%? | SELECT source FROM table_name_46 WHERE undecided = "2%" | SELECT "source" FROM "table_name_46" WHERE "2%" = "undecided" | 0.05957 |
CREATE TABLE employees (EMPLOYEE_ID NUMBER, FIRST_NAME VARCHAR2, LAST_NAME VARCHAR2, EMAIL VARCHAR2, PHONE_NUMBER VARCHAR2, HIRE_DATE DATE, JOB_ID VARCHAR2, SALARY NUMBER, COMMISSION_PCT NUMBER, MANAGER_ID NUMBER, DEPARTMENT_ID NUMBER)
CREATE TABLE regions (REGION_ID NUMBER, REGION_NAME VARCHAR2)
CREATE TABLE jobs (JOB_ID VARCHAR2, JOB_TITLE VARCHAR2, MIN_SALARY NUMBER, MAX_SALARY NUMBER)
CREATE TABLE departments (DEPARTMENT_ID NUMBER, DEPARTMENT_NAME VARCHAR2, MANAGER_ID NUMBER, LOCATION_ID 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 locations (LOCATION_ID NUMBER, STREET_ADDRESS VARCHAR2, POSTAL_CODE VARCHAR2, CITY VARCHAR2, STATE_PROVINCE VARCHAR2, COUNTRY_ID VARCHAR2)
| For those employees who do not work in departments with managers that have ids between 100 and 200, return a bar chart about the distribution of hire_date and the average of department_id bin hire_date by weekday. | SELECT HIRE_DATE, AVG(DEPARTMENT_ID) FROM employees WHERE NOT DEPARTMENT_ID IN (SELECT DEPARTMENT_ID FROM departments WHERE MANAGER_ID BETWEEN 100 AND 200) | SELECT "HIRE_DATE", AVG("DEPARTMENT_ID") FROM "employees" WHERE NOT "DEPARTMENT_ID" IN (SELECT "DEPARTMENT_ID" FROM "departments" WHERE "MANAGER_ID" <= 200 AND "MANAGER_ID" >= 100) | 0.175781 |
CREATE TABLE PostTags (PostId NUMBER, TagId NUMBER)
CREATE TABLE ReviewTaskTypes (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 PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId NUMBER)
CREATE TABLE PostTypes (Id NUMBER, Name CLOB)
CREATE TABLE Posts (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE 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 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 VoteTypes (Id NUMBER, Name CLOB)
CREATE TABLE PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
CREATE TABLE Comments (Id NUMBER, PostId NUMBER, Score NUMBER, Text CLOB, CreationDate TIME, UserDisplayName CLOB, UserId NUMBER, ContentLicense 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 TagSynonyms (Id NUMBER, SourceTagName CLOB, TargetTagName CLOB, CreationDate TIME, OwnerUserId NUMBER, AutoRenameCount NUMBER, LastAutoRename TIME, Score NUMBER, ApprovedByUserId NUMBER, ApprovalDate TIME)
CREATE TABLE ReviewTaskResultTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId 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 PendingFlags (Id NUMBER, FlagTypeId NUMBER, PostId NUMBER, CreationDate TIME, CloseReasonTypeId NUMBER, CloseAsOffTopicReasonTypeId NUMBER, DuplicateOfQuestionId NUMBER, BelongsOnBaseHostAddress CLOB)
CREATE TABLE ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId NUMBER)
CREATE TABLE ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment CLOB)
CREATE TABLE Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
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 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 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)
| Users with Tags Score excluding undesirable tag. | SELECT DISTINCT u.Id AS "user_link", CONCAT('https://stackoverflow.com/users/', u.Id) AS "profile_link", u.DisplayName, 'Tag:' + t.TagName, SUM(a.Score) AS "tag_score", COUNT(*) AS "answer_count" FROM Users AS u INNER JOIN Posts AS a ON a.OwnerUserId = u.Id INNER JOIN Posts AS q ON a.ParentId = q.Id INNER JOIN PostTags AS pt ON pt.PostId = q.Id INNER JOIN Tags AS t ON t.Id = pt.TagId WHERE a.CommunityOwnedDate IS NULL AND UPPER(t.TagName) = UPPER('##TagName##') AND UPPER(u.Location) LIKE UPPER('%##Location##%') GROUP BY u.Id, u.DisplayName, t.TagName HAVING SUM(a.Score) > COUNT(*) ORDER BY SUM(a.Score) DESC | SELECT DISTINCT "u"."Id" AS "user_link", CONCAT('https://stackoverflow.com/users/', "u"."Id") AS "profile_link", "u"."DisplayName", 'Tag:' + "t"."TagName", SUM("a"."Score") AS "tag_score", COUNT(*) AS "answer_count" FROM "Users" "u" JOIN "Posts" "a" ON "a"."CommunityOwnedDate" IS NULL AND "a"."OwnerUserId" = "u"."Id" JOIN "Posts" "q" ON "a"."ParentId" = "q"."Id" JOIN "PostTags" "pt" ON "pt"."PostId" = "q"."Id" JOIN "Tags" "t" ON "pt"."TagId" = "t"."Id" AND UPPER("t"."TagName") = UPPER('##TagName##') WHERE UPPER("u"."Location") LIKE UPPER('%##Location##%') GROUP BY "u"."Id", "u"."DisplayName", "t"."TagName" HAVING COUNT(*) < SUM("a"."Score") ORDER BY SUM("a"."Score") DESC | 0.663086 |
CREATE TABLE table_name_36 (height VARCHAR2, hometown VARCHAR2)
| What is the height of the player from Elizabeth, NJ? | SELECT height FROM table_name_36 WHERE hometown = "elizabeth, nj" | SELECT "height" FROM "table_name_36" WHERE "elizabeth, nj" = "hometown" | 0.069336 |
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)
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 lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
| count the number of patients whose lab test abnormal status is abnormal and lab test name is triiodothyronine (t3)? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE lab.flag = "abnormal" AND lab.label = "Triiodothyronine (T3)" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "lab" ON "Triiodothyronine (T3)" = "lab"."label" AND "abnormal" = "lab"."flag" AND "demographic"."hadm_id" = "lab"."hadm_id" | 0.193359 |
CREATE TABLE table_18329 ("District" CLOB, "Incumbent" CLOB, "Party" CLOB, "First elected" FLOAT, "Result" CLOB, "Candidates" CLOB)
| Who were the candidates when Shirley Chisholm was the incumbent? | SELECT "Candidates" FROM table_18329 WHERE "Incumbent" = 'Shirley Chisholm' | SELECT "Candidates" FROM "table_18329" WHERE "Incumbent" = 'Shirley Chisholm' | 0.075195 |
CREATE TABLE diagnosis (diagnosisid NUMBER, patientunitstayid NUMBER, diagnosisname CLOB, diagnosistime TIME, icd9code CLOB)
CREATE TABLE treatment (treatmentid NUMBER, patientunitstayid NUMBER, treatmentname CLOB, treatmenttime TIME)
CREATE TABLE 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 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 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 allergy (allergyid NUMBER, patientunitstayid NUMBER, drugname CLOB, allergyname CLOB, allergytime TIME)
CREATE TABLE lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime TIME)
CREATE TABLE medication (medicationid NUMBER, patientunitstayid NUMBER, drugname CLOB, dosage CLOB, routeadmin CLOB, drugstarttime TIME, drugstoptime TIME)
| in 2105, has patient 012-31116 been diagnosed with any illness? | SELECT COUNT(*) > 0 FROM diagnosis WHERE diagnosis.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '012-31116')) AND STRFTIME('%y', diagnosis.diagnosistime) = '2105' | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '012-31116' 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(*) > 0 FROM "diagnosis" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "diagnosis"."patientunitstayid" WHERE NOT "_u_1"."" IS NULL AND STRFTIME('%y', "diagnosis"."diagnosistime") = '2105' | 0.53418 |
CREATE TABLE drivers (forename VARCHAR2, surname VARCHAR2, driverid VARCHAR2)
CREATE TABLE laptimes (driverid VARCHAR2, milliseconds NUMBER)
| List the forename and surname of all distinct drivers who once had laptime less than 93000 milliseconds? | SELECT DISTINCT T1.forename, T1.surname FROM drivers AS T1 JOIN laptimes AS T2 ON T1.driverid = T2.driverid WHERE T2.milliseconds < 93000 | SELECT DISTINCT "T1"."forename", "T1"."surname" FROM "drivers" "T1" JOIN "laptimes" "T2" ON "T1"."driverid" = "T2"."driverid" AND "T2"."milliseconds" < 93000 | 0.15332 |
CREATE TABLE table_67930 ("Year" CLOB, "League" CLOB, "Reg. Season" CLOB, "Playoffs" CLOB, "Avg. attendance \\u2020" CLOB)
| What regular season had an average attendance of 1,242? | SELECT "Reg. Season" FROM table_67930 WHERE "Avg. attendance \u2020" = '1,242' | SELECT "Reg. Season" FROM "table_67930" WHERE "Avg. attendance \u2020" = '1,242' | 0.078125 |
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