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CREATE TABLE broadcast (Channel_ID NUMBER, Program_ID NUMBER, Time_of_day CLOB)
CREATE TABLE channel (Channel_ID NUMBER, Name CLOB, Owner CLOB, Share_in_percent FLOAT, Rating_in_percent FLOAT)
CREATE TABLE broadcast_share (Channel_ID NUMBER, Program_ID NUMBER, Date CLOB, Share_in_percent FLOAT)
CREATE TABLE program (Program_ID NUMBER, Name CLOB, Origin CLOB, Launch FLOAT, Owner CLOB)
| Count the number of programs broadcast for each time section of a day in a bar chart, sort Y in descending order. | SELECT Time_of_day, COUNT(*) FROM broadcast GROUP BY Time_of_day ORDER BY COUNT(*) DESC | SELECT "Time_of_day", COUNT(*) FROM "broadcast" GROUP BY "Time_of_day" ORDER BY COUNT(*) DESC | 0.09082 |
CREATE TABLE table_70066 ("Date" CLOB, "Opponent" CLOB, "Score" CLOB, "Loss" CLOB, "Record" CLOB)
| Name the loss when the record is 76-81 | SELECT "Loss" FROM table_70066 WHERE "Record" = '76-81' | SELECT "Loss" FROM "table_70066" WHERE "Record" = '76-81' | 0.055664 |
CREATE TABLE Subjects (subject_id NUMBER, subject_name VARCHAR2)
CREATE TABLE Student_Course_Enrolment (registration_id NUMBER, student_id NUMBER, course_id NUMBER, date_of_enrolment DATETIME, date_of_completion DATETIME)
CREATE TABLE Course_Authors_and_Tutors (author_id NUMBER, author_tutor_ATB VARCHAR2, login_name VARCHAR2, password VARCHAR2, personal_name VARCHAR2, middle_name VARCHAR2, family_name VARCHAR2, gender_mf VARCHAR2, address_line_1 VARCHAR2)
CREATE TABLE Students (student_id NUMBER, date_of_registration DATETIME, date_of_latest_logon DATETIME, login_name VARCHAR2, password VARCHAR2, personal_name VARCHAR2, middle_name VARCHAR2, family_name VARCHAR2)
CREATE TABLE Student_Tests_Taken (registration_id NUMBER, date_test_taken DATETIME, test_result VARCHAR2)
CREATE TABLE Courses (course_id NUMBER, author_id NUMBER, subject_id NUMBER, course_name VARCHAR2, course_description VARCHAR2)
| Find the number of the the date of enrollment of the 'Spanish' course. | SELECT date_of_enrolment, COUNT(date_of_enrolment) FROM Courses AS T1 JOIN Student_Course_Enrolment AS T2 ON T1.course_id = T2.course_id WHERE T1.course_name = "Spanish" | SELECT "date_of_enrolment", COUNT("date_of_enrolment") FROM "Courses" "T1" JOIN "Student_Course_Enrolment" "T2" ON "T1"."course_id" = "T2"."course_id" WHERE "Spanish" = "T1"."course_name" | 0.182617 |
CREATE TABLE table_name_62 (league_cup_goals NUMBER, name VARCHAR2, fa_cup_goals VARCHAR2)
| What is the most league cup goals for David Beresford having less than 0 FA Cup Goals? | SELECT MAX(league_cup_goals) FROM table_name_62 WHERE name = "david beresford" AND fa_cup_goals < 0 | SELECT MAX("league_cup_goals") FROM "table_name_62" WHERE "david beresford" = "name" AND "fa_cup_goals" < 0 | 0.104492 |
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 d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE prescriptions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, startdate TIME, enddate TIME, drug CLOB, dose_val_rx CLOB, dose_unit_rx CLOB, route CLOB)
CREATE TABLE microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
CREATE TABLE admissions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, admittime TIME, dischtime TIME, admission_type CLOB, admission_location CLOB, discharge_location CLOB, insurance CLOB, language CLOB, marital_status CLOB, ethnicity CLOB, age NUMBER)
CREATE TABLE outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
CREATE TABLE patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
CREATE TABLE diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE d_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_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 icustays (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, first_careunit CLOB, last_careunit CLOB, first_wardid NUMBER, last_wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
CREATE TABLE labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
| tell me the top five procedures that were the most common the previous year. | SELECT d_icd_procedures.short_title FROM d_icd_procedures WHERE d_icd_procedures.icd9_code IN (SELECT t1.icd9_code FROM (SELECT procedures_icd.icd9_code, DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS c1 FROM procedures_icd WHERE DATETIME(procedures_icd.charttime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year') GROUP BY procedures_icd.icd9_code) AS t1 WHERE t1.c1 <= 5) | WITH "t1" AS (SELECT "procedures_icd"."icd9_code", DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS "c1" FROM "procedures_icd" WHERE DATETIME("procedures_icd"."charttime", 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year') GROUP BY "procedures_icd"."icd9_code"), "_u_0" AS (SELECT "t1"."icd9_code" FROM "t1" "t1" WHERE "t1"."c1" <= 5 GROUP BY "icd9_code") SELECT "d_icd_procedures"."short_title" FROM "d_icd_procedures" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "d_icd_procedures"."icd9_code" WHERE NOT "_u_0"."" IS NULL | 0.522461 |
CREATE TABLE table_24728 ("School" CLOB, "Location" CLOB, "Enrolment" FLOAT, "Founded" FLOAT, "Denomination" CLOB, "Boys/Girls" CLOB, "Day/Boarding" CLOB, "School Colors" CLOB)
| What is every denomination for the school Seymour college? | SELECT "Denomination" FROM table_24728 WHERE "School" = 'Seymour College' | SELECT "Denomination" FROM "table_24728" WHERE "School" = 'Seymour College' | 0.073242 |
CREATE TABLE procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE icustays (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, first_careunit CLOB, last_careunit CLOB, first_wardid NUMBER, last_wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
CREATE TABLE chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
CREATE TABLE transfers (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, eventtype CLOB, careunit CLOB, wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
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 cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE prescriptions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, startdate TIME, enddate TIME, drug CLOB, dose_val_rx CLOB, dose_unit_rx CLOB, route CLOB)
CREATE TABLE admissions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, admittime TIME, dischtime TIME, admission_type CLOB, admission_location CLOB, discharge_location CLOB, insurance CLOB, language CLOB, marital_status CLOB, ethnicity CLOB, age NUMBER)
CREATE TABLE patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
| when was patient 14990's arterial bp mean the last time measured greater than 72.0 on 10/09/last year? | SELECT chartevents.charttime FROM chartevents WHERE chartevents.icustay_id IN (SELECT icustays.icustay_id FROM icustays WHERE icustays.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 14990)) AND chartevents.itemid IN (SELECT d_items.itemid FROM d_items WHERE d_items.label = 'arterial bp mean' AND d_items.linksto = 'chartevents') AND chartevents.valuenum > 72.0 AND DATETIME(chartevents.charttime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year') AND STRFTIME('%m-%d', chartevents.charttime) = '10-09' ORDER BY chartevents.charttime DESC LIMIT 1 | WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 14990 GROUP BY "hadm_id"), "_u_1" AS (SELECT "icustays"."icustay_id" FROM "icustays" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "icustays"."hadm_id" WHERE NOT "_u_0"."" IS NULL GROUP BY "icustay_id"), "_u_2" AS (SELECT "d_items"."itemid" FROM "d_items" WHERE "d_items"."label" = 'arterial bp mean' AND "d_items"."linksto" = 'chartevents' GROUP BY "itemid") SELECT "chartevents"."charttime" FROM "chartevents" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "chartevents"."icustay_id" LEFT JOIN "_u_2" "_u_2" ON "_u_2"."" = "chartevents"."itemid" WHERE "chartevents"."valuenum" > 72.0 AND DATETIME("chartevents"."charttime", 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year') AND NOT "_u_1"."" IS NULL AND NOT "_u_2"."" IS NULL AND STRFTIME('%m-%d', "chartevents"."charttime") = '10-09' ORDER BY "chartevents"."charttime" DESC FETCH FIRST 1 ROWS ONLY | 0.932617 |
CREATE TABLE table_name_48 (points NUMBER, year VARCHAR2, goals VARCHAR2)
| What are the lowest points with 2013 as the year, and goals less than 0? | SELECT MIN(points) FROM table_name_48 WHERE year = "2013" AND goals < 0 | SELECT MIN("points") FROM "table_name_48" WHERE "2013" = "year" AND "goals" < 0 | 0.077148 |
CREATE TABLE gradeconversion (lettergrade CLOB, gradepoint NUMBER)
CREATE TABLE student (stuid NUMBER, lname CLOB, fname CLOB, age NUMBER, sex CLOB, major NUMBER, advisor NUMBER, city_code CLOB)
CREATE TABLE course (cid CLOB, cname CLOB, credits NUMBER, instructor NUMBER, days CLOB, hours CLOB, dno NUMBER)
CREATE TABLE department (dno NUMBER, division CLOB, dname CLOB, room CLOB, building CLOB, dphone NUMBER)
CREATE TABLE enrolled_in (stuid NUMBER, cid CLOB, grade CLOB)
CREATE TABLE minor_in (stuid NUMBER, dno NUMBER)
CREATE TABLE faculty (facid NUMBER, lname CLOB, fname CLOB, rank CLOB, sex CLOB, phone NUMBER, room CLOB, building CLOB)
CREATE TABLE member_of (facid NUMBER, dno NUMBER, appt_type CLOB)
| Find the department name that is in Building 'Mergenthaler'. | SELECT dname FROM department WHERE building = "Mergenthaler" | SELECT "dname" FROM "department" WHERE "Mergenthaler" = "building" | 0.064453 |
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 departments (DEPARTMENT_ID NUMBER, DEPARTMENT_NAME VARCHAR2, MANAGER_ID NUMBER, LOCATION_ID NUMBER)
CREATE TABLE job_history (EMPLOYEE_ID NUMBER, START_DATE DATE, END_DATE DATE, JOB_ID VARCHAR2, DEPARTMENT_ID NUMBER)
CREATE TABLE employees (EMPLOYEE_ID NUMBER, FIRST_NAME VARCHAR2, LAST_NAME VARCHAR2, EMAIL VARCHAR2, PHONE_NUMBER VARCHAR2, HIRE_DATE DATE, JOB_ID VARCHAR2, SALARY NUMBER, COMMISSION_PCT NUMBER, MANAGER_ID NUMBER, DEPARTMENT_ID NUMBER)
CREATE TABLE jobs (JOB_ID VARCHAR2, JOB_TITLE VARCHAR2, MIN_SALARY NUMBER, MAX_SALARY NUMBER)
| 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 job_id and salary , order y-axis from high to low order. | SELECT JOB_ID, SALARY FROM employees WHERE NOT DEPARTMENT_ID IN (SELECT DEPARTMENT_ID FROM departments WHERE MANAGER_ID BETWEEN 100 AND 200) ORDER BY SALARY DESC | SELECT "JOB_ID", "SALARY" FROM "employees" WHERE NOT "DEPARTMENT_ID" IN (SELECT "DEPARTMENT_ID" FROM "departments" WHERE "MANAGER_ID" <= 200 AND "MANAGER_ID" >= 100) ORDER BY "SALARY" DESC | 0.183594 |
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 month (month_number NUMBER, month_name CLOB)
CREATE TABLE airline (airline_code VARCHAR2, airline_name CLOB, note CLOB)
CREATE TABLE flight (aircraft_code_sequence CLOB, airline_code VARCHAR2, airline_flight CLOB, arrival_time NUMBER, connections NUMBER, departure_time NUMBER, dual_carrier CLOB, flight_days CLOB, flight_id NUMBER, flight_number NUMBER, from_airport VARCHAR2, meal_code CLOB, stops NUMBER, time_elapsed NUMBER, to_airport VARCHAR2)
CREATE TABLE ground_service (city_code CLOB, airport_code CLOB, transport_type CLOB, ground_fare 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 class_of_service (booking_class VARCHAR2, rank NUMBER, class_description CLOB)
CREATE TABLE state (state_code CLOB, state_name CLOB, country_name CLOB)
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 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 code_description (code VARCHAR2, 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 time_interval (period CLOB, begin_time NUMBER, end_time NUMBER)
CREATE TABLE days (days_code VARCHAR2, day_name 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 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 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 flight_fare (flight_id NUMBER, fare_id NUMBER)
CREATE TABLE flight_leg (flight_id NUMBER, leg_number NUMBER, leg_flight 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 time_zone (time_zone_code CLOB, time_zone_name CLOB, hours_from_gmt NUMBER)
| all flights from PITTSBURGH to DALLAS round trip after 12pm less than 100 | SELECT DISTINCT flight.flight_id FROM airport_service AS AIRPORT_SERVICE_0, airport_service AS AIRPORT_SERVICE_1, city AS CITY_0, city AS CITY_1, fare AS FARE_0, fare AS FARE_1, flight, flight_fare AS FLIGHT_FARE_0, flight_fare AS FLIGHT_FARE_1 WHERE ((FARE_1.round_trip_cost < 100 AND FLIGHT_FARE_1.fare_id = FARE_1.fare_id AND flight.departure_time > 1200 AND flight.flight_id = FLIGHT_FARE_1.flight_id) AND CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'DALLAS' 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 FARE_0.round_trip_cost < 100 AND FLIGHT_FARE_0.fare_id = FARE_0.fare_id AND flight.flight_id = FLIGHT_FARE_0.flight_id AND flight.from_airport = AIRPORT_SERVICE_0.airport_code | SELECT DISTINCT "flight"."flight_id" FROM "airport_service" "AIRPORT_SERVICE_0" JOIN "city" "CITY_0" ON "AIRPORT_SERVICE_0"."city_code" = "CITY_0"."city_code" AND "CITY_0"."city_name" = 'PITTSBURGH' JOIN "flight" ON "AIRPORT_SERVICE_0"."airport_code" = "flight"."from_airport" AND "flight"."departure_time" > 1200 JOIN "airport_service" "AIRPORT_SERVICE_1" ON "AIRPORT_SERVICE_1"."airport_code" = "flight"."to_airport" JOIN "flight_fare" "FLIGHT_FARE_0" ON "FLIGHT_FARE_0"."flight_id" = "flight"."flight_id" JOIN "flight_fare" "FLIGHT_FARE_1" ON "FLIGHT_FARE_1"."flight_id" = "flight"."flight_id" JOIN "city" "CITY_1" ON "AIRPORT_SERVICE_1"."city_code" = "CITY_1"."city_code" AND "CITY_1"."city_name" = 'DALLAS' JOIN "fare" "FARE_0" ON "FARE_0"."fare_id" = "FLIGHT_FARE_0"."fare_id" AND "FARE_0"."round_trip_cost" < 100 JOIN "fare" "FARE_1" ON "FARE_1"."fare_id" = "FLIGHT_FARE_1"."fare_id" AND "FARE_1"."round_trip_cost" < 100 | 0.905273 |
CREATE TABLE table_57668 ("Game" FLOAT, "Date" CLOB, "Team" CLOB, "Score" CLOB, "High points" CLOB, "High rebounds" CLOB, "High assists" CLOB, "Location Attendance" CLOB, "Record" CLOB)
| What is the attendance of the location where New Orleans's team plays? | SELECT "Location Attendance" FROM table_57668 WHERE "Team" = 'new orleans' | SELECT "Location Attendance" FROM "table_57668" WHERE "Team" = 'new orleans' | 0.074219 |
CREATE TABLE table_31841 ("Week" CLOB, "Date" CLOB, "Opponent" CLOB, "Time" CLOB, "Game Site" CLOB, "Result/Score" CLOB, "Record" CLOB)
| Tell me the time for buffalo bills | SELECT "Time" FROM table_31841 WHERE "Opponent" = 'buffalo bills' | SELECT "Time" FROM "table_31841" WHERE "Opponent" = 'buffalo bills' | 0.06543 |
CREATE TABLE table_27270 ("English" CLOB, "Slovianski" CLOB, "\\u0421\\u043b\\u043e\\u0432\\u0458\\u0430\\u043d\\u0441\\u043a\\u0438" CLOB, "Russian" CLOB, "Ukrainian" CLOB, "Belarusian" CLOB, "Polish" CLOB, "Czech" CLOB, "Slovak" CLOB, "Upper Sorbian" CLOB, "Slovene" CLOB, "Croatian" CLOB, "Serbian" CLOB, "Macedonian" CLOB, "Bulgarian" CLOB)
| What is every value for Russian when value for Bulgarian is , ? | SELECT "Russian" FROM table_27270 WHERE "Bulgarian" = 'пес, куче' | SELECT "Russian" FROM "table_27270" WHERE "Bulgarian" = 'пес, куче' | 0.06543 |
CREATE TABLE table_12284476_8 (denomination VARCHAR2, year VARCHAR2, reverse VARCHAR2)
| what's the denomination with year being 2008 and reverse being football | SELECT denomination FROM table_12284476_8 WHERE year = 2008 AND reverse = "Football" | SELECT "denomination" FROM "table_12284476_8" WHERE "Football" = "reverse" AND "year" = 2008 | 0.089844 |
CREATE TABLE table_name_21 (skip VARCHAR2, second VARCHAR2)
| Which Skip has a Second of vicki adams? | SELECT skip FROM table_name_21 WHERE second = "vicki adams" | SELECT "skip" FROM "table_name_21" WHERE "second" = "vicki adams" | 0.063477 |
CREATE TABLE table_10795 ("Date" CLOB, "Opponent" CLOB, "Score" CLOB, "Loss" CLOB, "Attendance" FLOAT, "Record" CLOB)
| What was the attendance for the game where the score was 0-6? | SELECT "Attendance" FROM table_10795 WHERE "Score" = '0-6' | SELECT "Attendance" FROM "table_10795" WHERE "Score" = '0-6' | 0.058594 |
CREATE TABLE table_name_73 (man_of_the_match VARCHAR2, result VARCHAR2)
| What is the Man of the Match of the Competition with a Result of lost 2-5? | SELECT man_of_the_match FROM table_name_73 WHERE result = "lost 2-5" | SELECT "man_of_the_match" FROM "table_name_73" WHERE "lost 2-5" = "result" | 0.072266 |
CREATE TABLE table_66583 ("Latest stable release" CLOB, "Developer" CLOB, "3D support?" CLOB, "Runs on POSIX style systems ?" CLOB, "Runs on Windows?" CLOB, "User Interface Language ( s ) " CLOB)
| Which Runs on POSIX style systems has a Developer of and or? | SELECT "Runs on POSIX style systems ?" FROM table_66583 WHERE "Developer" = 'andéor' | SELECT "Runs on POSIX style systems ?" FROM "table_66583" WHERE "Developer" = 'andéor' | 0.083984 |
CREATE TABLE table_50659 ("Fin. Pos" CLOB, "Car No." CLOB, "Driver" CLOB, "Team" CLOB, "Laps" CLOB, "Time/Retired" CLOB, "Grid" CLOB, "Laps Led" CLOB, "Points" CLOB)
| What is the grid of driver tomas scheckter from vision racing team? | SELECT "Grid" FROM table_50659 WHERE "Team" = 'vision racing' AND "Driver" = 'tomas scheckter' | SELECT "Grid" FROM "table_50659" WHERE "Driver" = 'tomas scheckter' AND "Team" = 'vision racing' | 0.09375 |
CREATE TABLE table_name_25 (call_sign VARCHAR2, format VARCHAR2)
| What is the call sign of the Classic Country Music station? | SELECT call_sign FROM table_name_25 WHERE format = "classic country" | SELECT "call_sign" FROM "table_name_25" WHERE "classic country" = "format" | 0.072266 |
CREATE TABLE icustays (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, first_careunit CLOB, last_careunit CLOB, first_wardid NUMBER, last_wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE transfers (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, eventtype CLOB, careunit CLOB, wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_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 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_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
CREATE TABLE outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
CREATE TABLE microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
CREATE TABLE labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE admissions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, admittime TIME, dischtime TIME, admission_type CLOB, admission_location CLOB, discharge_location CLOB, insurance CLOB, language CLOB, marital_status CLOB, ethnicity CLOB, age NUMBER)
CREATE TABLE patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod 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)
| count the number of times patient 4288 had been prescribed azathioprine sodium since 1 year ago? | SELECT COUNT(*) FROM prescriptions WHERE prescriptions.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 4288) AND prescriptions.drug = 'azathioprine sodium' AND DATETIME(prescriptions.startdate) >= DATETIME(CURRENT_TIME(), '-1 year') | WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 4288 GROUP BY "hadm_id") SELECT COUNT(*) FROM "prescriptions" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "prescriptions"."hadm_id" WHERE "prescriptions"."drug" = 'azathioprine sodium' AND DATETIME("prescriptions"."startdate") >= DATETIME(CURRENT_TIME(), '-1 year') AND NOT "_u_0"."" IS NULL | 0.375 |
CREATE TABLE table_name_57 (position VARCHAR2, years VARCHAR2)
| What position was played by the player during 1986 1991 1997 1999? | SELECT position FROM table_name_57 WHERE years = "1986 – 1991 1997 – 1999" | SELECT "position" FROM "table_name_57" WHERE "1986 – 1991 1997 – 1999" = "years" | 0.078125 |
CREATE TABLE table_52415 ("Home team" CLOB, "Home team score" CLOB, "Away team" CLOB, "Away team score" CLOB, "Venue" CLOB, "Crowd" FLOAT, "Date" CLOB)
| What is the Home team score for the Venue named Glenferrie Oval? | SELECT "Home team score" FROM table_52415 WHERE "Venue" = 'glenferrie oval' | SELECT "Home team score" FROM "table_52415" WHERE "Venue" = 'glenferrie oval' | 0.075195 |
CREATE TABLE table_19048 ("SUBJECT" CLOB, "FRESHMAN ( Grade 7 ) " CLOB, "SOPHOMORE ( Grade 8 ) " CLOB, "JUNIOR ( 3rd Year ) " CLOB, "SENIOR ( 4th Year ) " CLOB)
| How many classes between senior and junior year for world history | SELECT COUNT("SENIOR (4th Year)") FROM table_19048 WHERE "JUNIOR (3rd Year)" = 'World History' | SELECT COUNT("SENIOR (4th Year)") FROM "table_19048" WHERE "JUNIOR (3rd Year)" = 'World History' | 0.09375 |
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 prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
| how many patients whose insurance is private and procedure icd9 code is 3799? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.insurance = "Private" AND procedures.icd9_code = "3799" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "procedures" ON "3799" = "procedures"."icd9_code" AND "demographic"."hadm_id" = "procedures"."hadm_id" WHERE "Private" = "demographic"."insurance" | 0.214844 |
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 procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
| how many patients are below 50 years of age and diagnosed with coronary atherosclerosis of native coronary artery? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.age < "50" AND diagnoses.long_title = "Coronary atherosclerosis of native coronary artery" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "Coronary atherosclerosis of native coronary artery" = "diagnoses"."long_title" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" WHERE "50" > "demographic"."age" | 0.24707 |
CREATE TABLE table_19651669_1 (finalist VARCHAR2, final_venue VARCHAR2)
| Who was the finalist when the final venue was Varese? | SELECT finalist FROM table_19651669_1 WHERE final_venue = "Varese" | SELECT "finalist" FROM "table_19651669_1" WHERE "Varese" = "final_venue" | 0.070313 |
CREATE TABLE host (host_id NUMBER, name CLOB, nationality CLOB, age CLOB)
CREATE TABLE party (party_id NUMBER, party_theme CLOB, location CLOB, first_year CLOB, last_year CLOB, number_of_hosts NUMBER)
CREATE TABLE party_host (party_id NUMBER, host_id NUMBER, is_main_in_charge others)
| Show the locations of parties and the names of the party hosts in ascending order of the age of the host. | SELECT T3.location, T2.name FROM party_host AS T1 JOIN host AS T2 ON T1.host_id = T2.host_id JOIN party AS T3 ON T1.party_id = T3.party_id ORDER BY T2.age | SELECT "T3"."location", "T2"."name" FROM "party_host" "T1" JOIN "host" "T2" ON "T1"."host_id" = "T2"."host_id" JOIN "party" "T3" ON "T1"."party_id" = "T3"."party_id" ORDER BY "T2"."age" | 0.180664 |
CREATE TABLE diagnosis (diagnosisid NUMBER, patientunitstayid NUMBER, diagnosisname CLOB, diagnosistime TIME, icd9code CLOB)
CREATE TABLE allergy (allergyid NUMBER, patientunitstayid NUMBER, drugname CLOB, allergyname CLOB, allergytime TIME)
CREATE TABLE medication (medicationid NUMBER, patientunitstayid NUMBER, drugname CLOB, dosage CLOB, routeadmin CLOB, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE vitalperiodic (vitalperiodicid NUMBER, patientunitstayid NUMBER, temperature NUMBER, sao2 NUMBER, heartrate NUMBER, respiration NUMBER, systemicsystolic NUMBER, systemicdiastolic NUMBER, systemicmean NUMBER, observationtime TIME)
CREATE TABLE patient (uniquepid CLOB, patienthealthsystemstayid NUMBER, patientunitstayid NUMBER, gender CLOB, age CLOB, ethnicity CLOB, hospitalid NUMBER, wardid NUMBER, admissionheight NUMBER, admissionweight NUMBER, dischargeweight NUMBER, hospitaladmittime TIME, hospitaladmitsource CLOB, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus CLOB)
CREATE TABLE intakeoutput (intakeoutputid NUMBER, patientunitstayid NUMBER, cellpath CLOB, celllabel CLOB, cellvaluenumeric NUMBER, intakeoutputtime TIME)
CREATE TABLE cost (costid NUMBER, uniquepid CLOB, patienthealthsystemstayid NUMBER, eventtype CLOB, eventid NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE treatment (treatmentid NUMBER, patientunitstayid NUMBER, treatmentname CLOB, treatmenttime TIME)
CREATE TABLE microlab (microlabid NUMBER, patientunitstayid NUMBER, culturesite CLOB, organism CLOB, culturetakentime TIME)
CREATE TABLE lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime TIME)
| how much does it cost for -bands lab tests? | SELECT DISTINCT cost.cost FROM cost WHERE cost.eventtype = 'lab' AND cost.eventid IN (SELECT lab.labid FROM lab WHERE lab.labname = '-bands') | WITH "_u_0" AS (SELECT "lab"."labid" FROM "lab" WHERE "lab"."labname" = '-bands' GROUP BY "labid") SELECT DISTINCT "cost"."cost" FROM "cost" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "cost"."eventid" WHERE "cost"."eventtype" = 'lab' AND NOT "_u_0"."" IS NULL | 0.249023 |
CREATE TABLE table_name_71 (location VARCHAR2, floors VARCHAR2, building VARCHAR2)
| Which Location has Floors smaller than 27, and a Building of 150 elgin? | SELECT location FROM table_name_71 WHERE floors < 27 AND building = "150 elgin" | SELECT "location" FROM "table_name_71" WHERE "150 elgin" = "building" AND "floors" < 27 | 0.084961 |
CREATE TABLE diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE 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 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 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 inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
CREATE TABLE prescriptions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, startdate TIME, enddate TIME, drug CLOB, dose_val_rx CLOB, dose_unit_rx CLOB, route CLOB)
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
CREATE TABLE icustays (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, first_careunit CLOB, last_careunit CLOB, first_wardid NUMBER, last_wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE transfers (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, eventtype CLOB, careunit CLOB, wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
CREATE TABLE labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
| was patient 7112's arterial bp [diastolic] on this month/30 less than 59.0? | SELECT COUNT(*) > 0 FROM chartevents WHERE chartevents.icustay_id IN (SELECT icustays.icustay_id FROM icustays WHERE icustays.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 7112)) AND chartevents.itemid IN (SELECT d_items.itemid FROM d_items WHERE d_items.label = 'arterial bp [diastolic]' AND d_items.linksto = 'chartevents') AND chartevents.valuenum < 59.0 AND DATETIME(chartevents.charttime, 'start of month') = DATETIME(CURRENT_TIME(), 'start of month', '-0 month') AND STRFTIME('%d', chartevents.charttime) = '30' | WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 7112 GROUP BY "hadm_id"), "_u_1" AS (SELECT "icustays"."icustay_id" FROM "icustays" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "icustays"."hadm_id" WHERE NOT "_u_0"."" IS NULL GROUP BY "icustay_id"), "_u_2" AS (SELECT "d_items"."itemid" FROM "d_items" WHERE "d_items"."label" = 'arterial bp [diastolic]' AND "d_items"."linksto" = 'chartevents' GROUP BY "itemid") SELECT COUNT(*) > 0 FROM "chartevents" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "chartevents"."icustay_id" LEFT JOIN "_u_2" "_u_2" ON "_u_2"."" = "chartevents"."itemid" WHERE "chartevents"."valuenum" < 59.0 AND DATETIME("chartevents"."charttime", 'start of month') = DATETIME(CURRENT_TIME(), 'start of month', '-0 month') AND NOT "_u_1"."" IS NULL AND NOT "_u_2"."" IS NULL AND STRFTIME('%d', "chartevents"."charttime") = '30' | 0.860352 |
CREATE TABLE table_66291 ("Proto-Germanic" CLOB, "West Germanic" CLOB, "Old English" CLOB, "German" CLOB, "Dutch" CLOB)
| What's the Proto-Germanic when the German is /t/? | SELECT "Proto-Germanic" FROM table_66291 WHERE "German" = '/t/' | SELECT "Proto-Germanic" FROM "table_66291" WHERE "German" = '/t/' | 0.063477 |
CREATE TABLE table_name_9 (round VARCHAR2, home VARCHAR2, result VARCHAR2)
| What round had a home of FC augsburg with the result of 3-0? | SELECT round FROM table_name_9 WHERE home = "fc augsburg" AND result = "3-0" | SELECT "round" FROM "table_name_9" WHERE "3-0" = "result" AND "fc augsburg" = "home" | 0.082031 |
CREATE TABLE Courses (course_id NUMBER, author_id NUMBER, subject_id NUMBER, course_name VARCHAR2, course_description VARCHAR2)
CREATE TABLE Students (student_id NUMBER, date_of_registration DATETIME, date_of_latest_logon DATETIME, login_name VARCHAR2, password VARCHAR2, personal_name VARCHAR2, middle_name VARCHAR2, family_name VARCHAR2)
CREATE TABLE Student_Tests_Taken (registration_id NUMBER, date_test_taken DATETIME, test_result VARCHAR2)
CREATE TABLE Subjects (subject_id NUMBER, subject_name VARCHAR2)
CREATE TABLE Student_Course_Enrolment (registration_id NUMBER, student_id NUMBER, course_id NUMBER, date_of_enrolment DATETIME, date_of_completion DATETIME)
CREATE TABLE Course_Authors_and_Tutors (author_id NUMBER, author_tutor_ATB VARCHAR2, login_name VARCHAR2, password VARCHAR2, personal_name VARCHAR2, middle_name VARCHAR2, family_name VARCHAR2, gender_mf VARCHAR2, address_line_1 VARCHAR2)
| Return a bar chart about the distribution of login_name and author_id . | SELECT login_name, author_id FROM Course_Authors_and_Tutors ORDER BY personal_name | SELECT "login_name", "author_id" FROM "Course_Authors_and_Tutors" ORDER BY "personal_name" | 0.087891 |
CREATE TABLE table_58915 ("Date" CLOB, "Series" CLOB, "Circuit" CLOB, "City / State" CLOB, "Winner" CLOB, "Team" CLOB)
| What Date had a Series of ATCC Round 6? | SELECT "Date" FROM table_58915 WHERE "Series" = 'atcc round 6' | SELECT "Date" FROM "table_58915" WHERE "Series" = 'atcc round 6' | 0.0625 |
CREATE TABLE table_28112 ("Series #" FLOAT, "Season #" FLOAT, "Title" CLOB, "Director" CLOB, "Writer ( s ) " CLOB, "Airdate" CLOB)
| Who was the writer of the episode that originally aired on October 14, 1968? | SELECT "Writer(s)" FROM table_28112 WHERE "Airdate" = 'October 14, 1968' | SELECT "Writer(s)" FROM "table_28112" WHERE "Airdate" = 'October 14, 1968' | 0.072266 |
CREATE TABLE table_name_46 (date VARCHAR2, year VARCHAR2, location VARCHAR2)
| What is the Date, when the Year is after 1978, and when the Location is Memorial Stadium (Baltimore)? | SELECT date FROM table_name_46 WHERE year > 1978 AND location = "memorial stadium (baltimore)" | SELECT "date" FROM "table_name_46" WHERE "location" = "memorial stadium (baltimore)" AND "year" > 1978 | 0.099609 |
CREATE TABLE restriction (restriction_code CLOB, advance_purchase NUMBER, stopovers CLOB, saturday_stay_required CLOB, minimum_stay NUMBER, maximum_stay NUMBER, application CLOB, no_discounts CLOB)
CREATE TABLE flight (aircraft_code_sequence CLOB, airline_code VARCHAR2, airline_flight CLOB, arrival_time NUMBER, connections NUMBER, departure_time NUMBER, dual_carrier CLOB, flight_days CLOB, flight_id NUMBER, flight_number NUMBER, from_airport VARCHAR2, meal_code CLOB, stops NUMBER, time_elapsed NUMBER, to_airport VARCHAR2)
CREATE TABLE 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 time_interval (period CLOB, begin_time NUMBER, end_time NUMBER)
CREATE TABLE flight_stop (flight_id NUMBER, stop_number NUMBER, stop_days CLOB, stop_airport CLOB, arrival_time NUMBER, arrival_airline CLOB, arrival_flight_number NUMBER, departure_time NUMBER, departure_airline CLOB, departure_flight_number NUMBER, stop_time NUMBER)
CREATE TABLE date_day (month_number NUMBER, day_number NUMBER, year NUMBER, day_name VARCHAR2)
CREATE TABLE class_of_service (booking_class VARCHAR2, rank NUMBER, class_description CLOB)
CREATE TABLE compartment_class (compartment VARCHAR2, class_type 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_fare (flight_id NUMBER, fare_id NUMBER)
CREATE TABLE state (state_code CLOB, state_name CLOB, country_name CLOB)
CREATE TABLE time_zone (time_zone_code CLOB, time_zone_name CLOB, hours_from_gmt NUMBER)
CREATE TABLE ground_service (city_code CLOB, airport_code CLOB, transport_type CLOB, ground_fare NUMBER)
CREATE TABLE flight_leg (flight_id NUMBER, leg_number NUMBER, leg_flight NUMBER)
CREATE TABLE food_service (meal_code CLOB, meal_number NUMBER, compartment CLOB, meal_description VARCHAR2)
CREATE TABLE equipment_sequence (aircraft_code_sequence VARCHAR2, aircraft_code VARCHAR2)
CREATE TABLE airport_service (city_code VARCHAR2, airport_code VARCHAR2, miles_distant NUMBER, direction VARCHAR2, minutes_distant NUMBER)
CREATE TABLE month (month_number NUMBER, month_name 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 airline (airline_code VARCHAR2, airline_name CLOB, note 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 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)
CREATE TABLE days (days_code VARCHAR2, day_name VARCHAR2)
| i would like a TW flight from ATLANTA to SAN FRANCISCO with a stopover in DENVER | SELECT DISTINCT flight.flight_id FROM airport_service AS AIRPORT_SERVICE_0, airport_service AS AIRPORT_SERVICE_1, airport_service AS AIRPORT_SERVICE_2, city AS CITY_0, city AS CITY_1, city AS CITY_2, flight, flight_stop WHERE ((CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'SAN FRANCISCO' AND CITY_2.city_code = AIRPORT_SERVICE_2.city_code AND CITY_2.city_name = 'DENVER' AND flight_stop.stop_airport = AIRPORT_SERVICE_2.airport_code AND flight.flight_id = flight_stop.flight_id AND flight.to_airport = AIRPORT_SERVICE_1.airport_code) AND CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'ATLANTA' AND flight.from_airport = AIRPORT_SERVICE_0.airport_code) AND flight.airline_code = 'TW' | SELECT DISTINCT "flight"."flight_id" FROM "airport_service" "AIRPORT_SERVICE_0" JOIN "city" "CITY_0" ON "AIRPORT_SERVICE_0"."city_code" = "CITY_0"."city_code" AND "CITY_0"."city_name" = 'ATLANTA' JOIN "flight" ON "AIRPORT_SERVICE_0"."airport_code" = "flight"."from_airport" AND "flight"."airline_code" = 'TW' JOIN "airport_service" "AIRPORT_SERVICE_1" ON "AIRPORT_SERVICE_1"."airport_code" = "flight"."to_airport" JOIN "flight_stop" ON "flight"."flight_id" = "flight_stop"."flight_id" JOIN "airport_service" "AIRPORT_SERVICE_2" ON "AIRPORT_SERVICE_2"."airport_code" = "flight_stop"."stop_airport" JOIN "city" "CITY_1" ON "AIRPORT_SERVICE_1"."city_code" = "CITY_1"."city_code" AND "CITY_1"."city_name" = 'SAN FRANCISCO' JOIN "city" "CITY_2" ON "AIRPORT_SERVICE_2"."city_code" = "CITY_2"."city_code" AND "CITY_2"."city_name" = 'DENVER' | 0.813477 |
CREATE TABLE table_74918 ("Race" CLOB, "Class ( es ) " CLOB, "Length/Duration" CLOB, "Circuit" CLOB, "Date" CLOB)
| What is the length and duration of the race on April 19? | SELECT "Length/Duration" FROM table_74918 WHERE "Date" = 'april 19' | SELECT "Length/Duration" FROM "table_74918" WHERE "Date" = 'april 19' | 0.067383 |
CREATE TABLE table_16724844_1 (mens_u20 VARCHAR2, womens_40 VARCHAR2)
| How many times was the mens u20 recorded when the Womens 40 were Sydney Scorpions def North Queensland Cyclones? | SELECT COUNT(mens_u20) FROM table_16724844_1 WHERE womens_40 = "Sydney Scorpions def North Queensland Cyclones" | SELECT COUNT("mens_u20") FROM "table_16724844_1" WHERE "Sydney Scorpions def North Queensland Cyclones" = "womens_40" | 0.114258 |
CREATE TABLE web_client_accelerator (id NUMBER, name CLOB, operating_system CLOB, client CLOB, connection CLOB)
CREATE TABLE browser (id NUMBER, name CLOB, market_share NUMBER)
CREATE TABLE accelerator_compatible_browser (accelerator_id NUMBER, browser_id NUMBER, compatible_since_year NUMBER)
| What is the id and market share of the browser Safari? | SELECT id, market_share FROM browser WHERE name = 'Safari' | SELECT "id", "market_share" FROM "browser" WHERE "name" = 'Safari' | 0.064453 |
CREATE TABLE table_name_66 (opponent VARCHAR2, october VARCHAR2)
| Which Opponent is on October of 29? | SELECT opponent FROM table_name_66 WHERE october = 29 | SELECT "opponent" FROM "table_name_66" WHERE "october" = 29 | 0.057617 |
CREATE TABLE VoteTypes (Id NUMBER, Name CLOB)
CREATE TABLE SuggestedEditVotes (Id NUMBER, SuggestedEditId NUMBER, UserId NUMBER, VoteTypeId NUMBER, CreationDate TIME, TargetUserId NUMBER, TargetRepChange NUMBER)
CREATE TABLE Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
CREATE TABLE PostTags (PostId NUMBER, TagId NUMBER)
CREATE TABLE Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
CREATE TABLE PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId NUMBER)
CREATE TABLE PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
CREATE TABLE PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId NUMBER)
CREATE TABLE 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 ReviewTaskResultTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE SuggestedEdits (Id NUMBER, PostId NUMBER, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId NUMBER, Comment CLOB, Text CLOB, Title CLOB, Tags CLOB, RevisionGUID other)
CREATE TABLE Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount NUMBER)
CREATE TABLE ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
CREATE TABLE PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
CREATE TABLE PostTypes (Id NUMBER, Name CLOB)
CREATE TABLE PostHistory (Id NUMBER, PostHistoryTypeId NUMBER, PostId NUMBER, RevisionGUID other, CreationDate TIME, UserId NUMBER, UserDisplayName CLOB, Comment CLOB, Text CLOB, ContentLicense CLOB)
CREATE TABLE 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 ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment CLOB)
CREATE TABLE ReviewTaskStates (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PendingFlags (Id NUMBER, FlagTypeId NUMBER, PostId NUMBER, CreationDate TIME, CloseReasonTypeId NUMBER, CloseAsOffTopicReasonTypeId NUMBER, DuplicateOfQuestionId NUMBER, BelongsOnBaseHostAddress CLOB)
CREATE TABLE 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 CloseAsOffTopicReasonTypes (Id NUMBER, IsUniversal BOOLEAN, InputTitle CLOB, MarkdownInputGuidance CLOB, MarkdownPostOwnerGuidance CLOB, MarkdownPrivilegedUserGuidance CLOB, MarkdownConcensusDescription CLOB, CreationDate TIME, CreationModeratorId NUMBER, ApprovalDate TIME, ApprovalModeratorId NUMBER, DeactivationDate TIME, DeactivationModeratorId NUMBER)
CREATE TABLE Comments (Id NUMBER, PostId NUMBER, Score NUMBER, Text CLOB, CreationDate TIME, UserDisplayName CLOB, UserId NUMBER, ContentLicense CLOB)
CREATE TABLE FlagTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE CloseReasonTypes (Id NUMBER, Name CLOB, Description 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 ReviewTaskTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostHistoryTypes (Id NUMBER, Name CLOB)
| How many points have I earned from 'long-tail' questions and answers?. | SELECT * FROM Posts WHERE (PostTypeId = 1 OR PostTypeId = 2) AND OwnerUserId = 3195 | SELECT * FROM "Posts" WHERE "OwnerUserId" = 3195 AND ("PostTypeId" = 1 OR "PostTypeId" = 2) | 0.088867 |
CREATE TABLE railway_manage (railway_id NUMBER, manager_id NUMBER, from_year CLOB)
CREATE TABLE train (train_id NUMBER, train_num CLOB, name CLOB, from CLOB, arrival CLOB, railway_id NUMBER)
CREATE TABLE railway (railway_id NUMBER, railway CLOB, builder CLOB, built CLOB, wheels CLOB, location CLOB, objectnumber CLOB)
CREATE TABLE manager (manager_id NUMBER, name CLOB, country CLOB, working_year_starts CLOB, age NUMBER, level NUMBER)
| List the object number of railways that do not have any trains. | SELECT objectnumber FROM railway WHERE NOT railway_id IN (SELECT railway_id FROM train) | SELECT "objectnumber" FROM "railway" WHERE NOT "railway_id" IN (SELECT "railway_id" FROM "train") | 0.094727 |
CREATE TABLE table_73975 ("No. in series" FLOAT, "No. in season" FLOAT, "Title" CLOB, "Directed by" CLOB, "Written by" CLOB, "Original air date" CLOB, "U.S. viewers ( millions ) " CLOB)
| What number(s) in the series was written by bo crese? | SELECT "No. in series" FROM table_73975 WHERE "Written by" = 'Bo Crese' | SELECT "No. in series" FROM "table_73975" WHERE "Written by" = 'Bo Crese' | 0.071289 |
CREATE TABLE table_80329 ("Member" CLOB, "Party" CLOB, "Electorate" CLOB, "State" CLOB, "Term in office" CLOB)
| To what party does Ralph Jacobi belong? | SELECT "Party" FROM table_80329 WHERE "Member" = 'ralph jacobi' | SELECT "Party" FROM "table_80329" WHERE "Member" = 'ralph jacobi' | 0.063477 |
CREATE TABLE table_name_90 (date VARCHAR2, game VARCHAR2)
| Which Date has a Game of game 3? | SELECT date FROM table_name_90 WHERE game = "game 3" | SELECT "date" FROM "table_name_90" WHERE "game 3" = "game" | 0.056641 |
CREATE TABLE ship (ship_id NUMBER, name CLOB, type CLOB, built_year NUMBER, class CLOB, flag CLOB)
CREATE TABLE captain (captain_id NUMBER, name CLOB, ship_id NUMBER, age CLOB, class CLOB, rank CLOB)
| Find the name and flag of ships that are not steered by any captain with Midshipman rank. | SELECT name, flag FROM ship WHERE NOT ship_id IN (SELECT ship_id FROM captain WHERE rank = 'Midshipman') | SELECT "name", "flag" FROM "ship" WHERE NOT "ship_id" IN (SELECT "ship_id" FROM "captain" WHERE "rank" = 'Midshipman') | 0.115234 |
CREATE TABLE table_name_6 (character VARCHAR2, category VARCHAR2, year VARCHAR2)
| In 2004 who was favourite maa? | SELECT character FROM table_name_6 WHERE category = "favourite maa" AND year = 2004 | SELECT "character" FROM "table_name_6" WHERE "category" = "favourite maa" AND "year" = 2004 | 0.088867 |
CREATE TABLE table_name_16 (location VARCHAR2, event VARCHAR2, time VARCHAR2)
| Where was Extreme Challenge 63 with a time of 2:00 held? | SELECT location FROM table_name_16 WHERE event = "extreme challenge 63" AND time = "2:00" | SELECT "location" FROM "table_name_16" WHERE "2:00" = "time" AND "event" = "extreme challenge 63" | 0.094727 |
CREATE TABLE table_75811 ("Member State sorted by GDP" CLOB, "GDP in s billion of USD ( 2012 ) " FLOAT, "GDP % of EU ( 2012 ) " CLOB, "Annual change % of GDP ( 2012 ) " CLOB, "GDP per capita in PPP US$ ( 2012 ) " FLOAT, "Public Debt % of GDP ( 2013 Q1 ) " FLOAT, "Deficit ( - ) / Surplus ( + ) % of GDP ( 2012 ) " CLOB, "Inflation % Annual ( 2012 ) " FLOAT, "Unemp. % 2013 M7" FLOAT)
| What is the largest inflation % annual in 2012 of the country with a public debt % of GDP in 2013 Q1 greater than 88.2 and a GDP % of EU in 2012 of 2.9%? | SELECT MAX("Inflation % Annual (2012)") FROM table_75811 WHERE "Public Debt % of GDP (2013 Q1)" > '88.2' AND "GDP % of EU (2012)" = '2.9%' | SELECT MAX("Inflation % Annual (2012)") FROM "table_75811" WHERE "GDP % of EU (2012)" = '2.9%' AND "Public Debt % of GDP (2013 Q1)" > '88.2' | 0.136719 |
CREATE TABLE table_name_17 (result VARCHAR2, score VARCHAR2, venue VARCHAR2, date VARCHAR2)
| What was the result at dakar , senegal, on 3 september 2011, and with a Score of 2 0? | SELECT result FROM table_name_17 WHERE venue = "dakar , senegal" AND date = "3 september 2011" AND score = "2–0" | SELECT "result" FROM "table_name_17" WHERE "2–0" = "score" AND "3 september 2011" = "date" AND "dakar , senegal" = "venue" | 0.119141 |
CREATE TABLE table_5385 ("Round" FLOAT, "Pick #" FLOAT, "Overall" FLOAT, "Name" CLOB, "Position" CLOB, "College" CLOB)
| Before round 7, what is the greatest Pick # for a player that plays defensive tackle? | SELECT MAX("Pick #") FROM table_5385 WHERE "Position" = 'defensive tackle' AND "Round" < '7' | SELECT MAX("Pick #") FROM "table_5385" WHERE "Position" = 'defensive tackle' AND "Round" < '7' | 0.091797 |
CREATE TABLE microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
CREATE TABLE patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
CREATE TABLE inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
CREATE TABLE prescriptions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, startdate TIME, enddate TIME, drug CLOB, dose_val_rx CLOB, dose_unit_rx CLOB, route CLOB)
CREATE TABLE diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE transfers (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, eventtype CLOB, careunit CLOB, wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
CREATE TABLE cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE 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_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 outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
CREATE TABLE admissions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, admittime TIME, dischtime TIME, admission_type CLOB, admission_location CLOB, discharge_location CLOB, insurance CLOB, language CLOB, marital_status CLOB, ethnicity CLOB, age NUMBER)
CREATE TABLE icustays (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, first_careunit CLOB, last_careunit CLOB, first_wardid NUMBER, last_wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
| how many adrenal exploration nos treatments have been performed until 2102? | SELECT COUNT(*) FROM procedures_icd WHERE procedures_icd.icd9_code = (SELECT d_icd_procedures.icd9_code FROM d_icd_procedures WHERE d_icd_procedures.short_title = 'adrenal exploration nos') AND STRFTIME('%y', procedures_icd.charttime) <= '2102' | SELECT COUNT(*) FROM "procedures_icd" JOIN "d_icd_procedures" ON "d_icd_procedures"."icd9_code" = "procedures_icd"."icd9_code" AND "d_icd_procedures"."short_title" = 'adrenal exploration nos' WHERE STRFTIME('%y', "procedures_icd"."charttime") <= '2102' | 0.246094 |
CREATE TABLE table_33462 ("Network" CLOB, "Origin of Programming" CLOB, "Language" CLOB, "Genre" CLOB, "Service" CLOB)
| Where does the network Star Cricket originate? | SELECT "Origin of Programming" FROM table_33462 WHERE "Genre" = 'cricket' AND "Network" = 'star cricket' | SELECT "Origin of Programming" FROM "table_33462" WHERE "Genre" = 'cricket' AND "Network" = 'star cricket' | 0.103516 |
CREATE TABLE table_name_34 (attendance VARCHAR2, tie_no VARCHAR2)
| What is the attendance of tie no. 23? | SELECT attendance FROM table_name_34 WHERE tie_no = "23" | SELECT "attendance" FROM "table_name_34" WHERE "23" = "tie_no" | 0.060547 |
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
| what is age and date of birth of subject name paul edwards? | SELECT demographic.age, demographic.dob FROM demographic WHERE demographic.name = "Paul Edwards" | SELECT "demographic"."age", "demographic"."dob" FROM "demographic" WHERE "Paul Edwards" = "demographic"."name" | 0.107422 |
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 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)
| what is the number of patients whose ethnicity is black/african american and year of birth is less than 2052? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.ethnicity = "BLACK/AFRICAN AMERICAN" AND demographic.dob_year < "2052" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "2052" > "demographic"."dob_year" AND "BLACK/AFRICAN AMERICAN" = "demographic"."ethnicity" | 0.161133 |
CREATE TABLE table_name_91 (points_against VARCHAR2, tries_against VARCHAR2, played VARCHAR2, points VARCHAR2)
| Name the points against when tries against is 51 and points is 52 with played of 22 | SELECT points_against FROM table_name_91 WHERE played = "22" AND points = "52" AND tries_against = "51" | SELECT "points_against" FROM "table_name_91" WHERE "22" = "played" AND "51" = "tries_against" AND "52" = "points" | 0.110352 |
CREATE TABLE table_2454550_1 (track VARCHAR2, date VARCHAR2)
| On what tra k was the march 19 race held? | SELECT track FROM table_2454550_1 WHERE date = "March 19" | SELECT "track" FROM "table_2454550_1" WHERE "March 19" = "date" | 0.061523 |
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
| how many patients aged below 80 year had done the lab test ascites? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.age < "80" AND lab.fluid = "Ascites" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "lab" ON "Ascites" = "lab"."fluid" AND "demographic"."hadm_id" = "lab"."hadm_id" WHERE "80" > "demographic"."age" | 0.182617 |
CREATE TABLE table_21542 ("Game" FLOAT, "Date" CLOB, "Team" CLOB, "Score" CLOB, "High points" CLOB, "High rebounds" CLOB, "High assists" CLOB, "Location Attendance" CLOB, "Record" CLOB)
| How many games occur on the date December 12? | SELECT COUNT("Game") FROM table_21542 WHERE "Date" = 'December 12' | SELECT COUNT("Game") FROM "table_21542" WHERE "Date" = 'December 12' | 0.066406 |
CREATE TABLE table_203_339 (id NUMBER, "year" CLOB, "car" NUMBER, "start" NUMBER, "qual" NUMBER, "rank" NUMBER, "finish" NUMBER, "laps" NUMBER, "led" NUMBER, "retired" CLOB)
| what car achieved the highest qual ? | SELECT "car" FROM table_203_339 ORDER BY "qual" DESC LIMIT 1 | SELECT "car" FROM "table_203_339" ORDER BY "qual" DESC FETCH FIRST 1 ROWS ONLY | 0.076172 |
CREATE TABLE table_name_89 (time NUMBER, year VARCHAR2, event VARCHAR2)
| What is the greatest Time with a Year of 1991, and Event of 4x100 m relay? | SELECT MAX(time) FROM table_name_89 WHERE year = 1991 AND event = "4x100 m relay" | SELECT MAX("time") FROM "table_name_89" WHERE "4x100 m relay" = "event" AND "year" = 1991 | 0.086914 |
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE 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)
| How many of the patients born before the year 2098 had operations on chordae tendineae? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.dob_year < "2098" AND procedures.long_title = "Operations on chordae tendineae" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "procedures" ON "Operations on chordae tendineae" = "procedures"."long_title" AND "demographic"."hadm_id" = "procedures"."hadm_id" WHERE "2098" > "demographic"."dob_year" | 0.238281 |
CREATE TABLE semester (semester_id NUMBER, semester VARCHAR2, year NUMBER)
CREATE TABLE course_tags_count (course_id NUMBER, clear_grading NUMBER, pop_quiz NUMBER, group_projects NUMBER, inspirational NUMBER, long_lectures NUMBER, extra_credit NUMBER, few_tests NUMBER, good_feedback NUMBER, tough_tests NUMBER, heavy_papers NUMBER, cares_for_students NUMBER, heavy_assignments NUMBER, respected NUMBER, participation NUMBER, heavy_reading NUMBER, tough_grader NUMBER, hilarious NUMBER, would_take_again NUMBER, good_lecture NUMBER, no_skip NUMBER)
CREATE TABLE requirement (requirement_id NUMBER, requirement VARCHAR2, college VARCHAR2)
CREATE TABLE area (course_id NUMBER, area 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 offering_instructor (offering_instructor_id NUMBER, offering_id NUMBER, instructor_id NUMBER)
CREATE TABLE instructor (instructor_id NUMBER, name VARCHAR2, uniqname VARCHAR2)
CREATE TABLE jobs (job_id NUMBER, job_title VARCHAR2, description VARCHAR2, requirement VARCHAR2, city VARCHAR2, state VARCHAR2, country VARCHAR2, zip NUMBER)
CREATE TABLE course_prerequisite (pre_course_id NUMBER, course_id NUMBER)
CREATE TABLE course (course_id NUMBER, name VARCHAR2, department VARCHAR2, number VARCHAR2, credits VARCHAR2, advisory_requirement VARCHAR2, enforced_requirement VARCHAR2, description VARCHAR2, num_semesters NUMBER, num_enrolled NUMBER, has_discussion VARCHAR2, has_lab VARCHAR2, has_projects VARCHAR2, has_exams VARCHAR2, num_reviews NUMBER, clarity_score NUMBER, easiness_score NUMBER, helpfulness_score NUMBER)
CREATE TABLE student_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 comment_instructor (instructor_id NUMBER, student_id NUMBER, score NUMBER, comment_text VARCHAR2)
CREATE TABLE program_requirement (program_id NUMBER, category VARCHAR2, min_credit NUMBER, additional_req VARCHAR2)
CREATE TABLE gsi (course_offering_id NUMBER, student_id 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 ta (campus_job_id NUMBER, student_id NUMBER, location VARCHAR2)
CREATE TABLE program_course (program_id NUMBER, course_id NUMBER, workload NUMBER, category VARCHAR2)
CREATE TABLE program (program_id NUMBER, name VARCHAR2, college VARCHAR2, introduction VARCHAR2)
| Between EECS 540 and EECS 628 ; which is the easiest ? | SELECT DISTINCT course.number FROM course INNER JOIN program_course ON program_course.course_id = course.course_id WHERE (course.number = 540 OR course.number = 628) AND program_course.workload = (SELECT MIN(PROGRAM_COURSEalias1.workload) FROM program_course AS PROGRAM_COURSEalias1 INNER JOIN course AS COURSEalias1 ON PROGRAM_COURSEalias1.course_id = COURSEalias1.course_id WHERE (COURSEalias1.number = 540 OR COURSEalias1.number = 628) AND COURSEalias1.department = 'EECS') | WITH "_u_0" AS (SELECT MIN("PROGRAM_COURSEalias1"."workload") FROM "program_course" "PROGRAM_COURSEalias1" JOIN "course" "COURSEalias1" ON "COURSEalias1"."course_id" = "PROGRAM_COURSEalias1"."course_id" AND "COURSEalias1"."department" = 'EECS' AND ("COURSEalias1"."number" = 540 OR "COURSEalias1"."number" = 628)) SELECT DISTINCT "course"."number" FROM "course" JOIN "program_course" ON "course"."course_id" = "program_course"."course_id" JOIN "_u_0" "_u_0" ON "_u_0"."" = "program_course"."workload" WHERE "course"."number" = 540 OR "course"."number" = 628 | 0.543945 |
CREATE TABLE procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE admissions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, admittime TIME, dischtime TIME, admission_type CLOB, admission_location CLOB, discharge_location CLOB, insurance CLOB, language CLOB, marital_status CLOB, ethnicity CLOB, age NUMBER)
CREATE TABLE d_icd_procedures (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 microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
CREATE TABLE d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
CREATE TABLE inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
CREATE TABLE transfers (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, eventtype CLOB, careunit CLOB, wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
CREATE TABLE d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE 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 cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
CREATE TABLE outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
| has patient 83466 been treated with a excise lg intestine les during the previous year? | SELECT COUNT(*) > 0 FROM procedures_icd WHERE procedures_icd.icd9_code = (SELECT d_icd_procedures.icd9_code FROM d_icd_procedures WHERE d_icd_procedures.short_title = 'excise lg intestine les') AND procedures_icd.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 83466) AND DATETIME(procedures_icd.charttime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year') | WITH "_u_1" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 83466 GROUP BY "hadm_id") SELECT COUNT(*) > 0 FROM "procedures_icd" JOIN "d_icd_procedures" ON "d_icd_procedures"."icd9_code" = "procedures_icd"."icd9_code" AND "d_icd_procedures"."short_title" = 'excise lg intestine les' LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "procedures_icd"."hadm_id" WHERE DATETIME("procedures_icd"."charttime", 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year') AND NOT "_u_1"."" IS NULL | 0.515625 |
CREATE TABLE flight_fare (flight_id NUMBER, fare_id NUMBER)
CREATE TABLE airline (airline_code VARCHAR2, airline_name CLOB, note CLOB)
CREATE TABLE class_of_service (booking_class VARCHAR2, rank NUMBER, class_description CLOB)
CREATE TABLE time_zone (time_zone_code CLOB, time_zone_name CLOB, hours_from_gmt NUMBER)
CREATE TABLE state (state_code CLOB, state_name CLOB, country_name CLOB)
CREATE TABLE compartment_class (compartment VARCHAR2, class_type 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 food_service (meal_code CLOB, meal_number NUMBER, compartment CLOB, meal_description VARCHAR2)
CREATE TABLE restriction (restriction_code CLOB, advance_purchase NUMBER, stopovers CLOB, saturday_stay_required CLOB, minimum_stay NUMBER, maximum_stay NUMBER, application CLOB, no_discounts CLOB)
CREATE TABLE days (days_code VARCHAR2, day_name VARCHAR2)
CREATE TABLE fare_basis (fare_basis_code CLOB, booking_class CLOB, class_type CLOB, premium CLOB, economy CLOB, discounted CLOB, night CLOB, season CLOB, basis_days CLOB)
CREATE TABLE month (month_number NUMBER, month_name CLOB)
CREATE TABLE airport (airport_code VARCHAR2, airport_name CLOB, airport_location CLOB, state_code VARCHAR2, country_name VARCHAR2, time_zone_code VARCHAR2, minimum_connect_time NUMBER)
CREATE TABLE fare (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 date_day (month_number NUMBER, day_number NUMBER, year NUMBER, day_name VARCHAR2)
CREATE TABLE airport_service (city_code VARCHAR2, airport_code VARCHAR2, miles_distant NUMBER, direction VARCHAR2, minutes_distant NUMBER)
CREATE TABLE ground_service (city_code CLOB, airport_code CLOB, transport_type CLOB, ground_fare NUMBER)
CREATE TABLE equipment_sequence (aircraft_code_sequence VARCHAR2, aircraft_code VARCHAR2)
CREATE TABLE aircraft (aircraft_code VARCHAR2, aircraft_description VARCHAR2, manufacturer VARCHAR2, basic_type VARCHAR2, engines NUMBER, propulsion VARCHAR2, wide_body VARCHAR2, wing_span NUMBER, length NUMBER, weight NUMBER, capacity NUMBER, pay_load NUMBER, cruising_speed NUMBER, range_miles NUMBER, pressurized VARCHAR2)
CREATE TABLE city (city_code VARCHAR2, city_name VARCHAR2, state_code VARCHAR2, country_name VARCHAR2, time_zone_code VARCHAR2)
CREATE TABLE flight (aircraft_code_sequence CLOB, airline_code VARCHAR2, airline_flight CLOB, arrival_time NUMBER, connections NUMBER, departure_time NUMBER, dual_carrier CLOB, flight_days CLOB, flight_id NUMBER, flight_number NUMBER, from_airport VARCHAR2, meal_code CLOB, stops NUMBER, time_elapsed NUMBER, to_airport VARCHAR2)
CREATE TABLE 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 code_description (code VARCHAR2, description CLOB)
| flights from CINCINNATI to SALT LAKE CITY | SELECT DISTINCT flight.flight_id FROM airport_service AS AIRPORT_SERVICE_0, airport_service AS AIRPORT_SERVICE_1, city AS CITY_0, city AS CITY_1, flight WHERE CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'CINCINNATI' AND CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'SALT LAKE CITY' AND flight.from_airport = AIRPORT_SERVICE_0.airport_code AND flight.to_airport = AIRPORT_SERVICE_1.airport_code | SELECT DISTINCT "flight"."flight_id" FROM "airport_service" "AIRPORT_SERVICE_0" JOIN "city" "CITY_0" ON "AIRPORT_SERVICE_0"."city_code" = "CITY_0"."city_code" AND "CITY_0"."city_name" = 'CINCINNATI' JOIN "flight" ON "AIRPORT_SERVICE_0"."airport_code" = "flight"."from_airport" JOIN "airport_service" "AIRPORT_SERVICE_1" ON "AIRPORT_SERVICE_1"."airport_code" = "flight"."to_airport" JOIN "city" "CITY_1" ON "AIRPORT_SERVICE_1"."city_code" = "CITY_1"."city_code" AND "CITY_1"."city_name" = 'SALT LAKE CITY' | 0.492188 |
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 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)
| what is drug code of subject name jerry deberry? | SELECT prescriptions.formulary_drug_cd FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.name = "Jerry Deberry" | SELECT "prescriptions"."formulary_drug_cd" FROM "demographic" JOIN "prescriptions" ON "demographic"."hadm_id" = "prescriptions"."hadm_id" WHERE "Jerry Deberry" = "demographic"."name" | 0.177734 |
CREATE TABLE table_73451 ("No." FLOAT, "Title" CLOB, "Directed by" CLOB, "Written by" CLOB, "Original air date" CLOB, "Production code" CLOB, "Viewers ( in millions ) " CLOB)
| How many millions of people viewed 'Father's Day'? | SELECT "Viewers (in millions)" FROM table_73451 WHERE "Title" = 'Father''s Day' | SELECT "Viewers (in millions)" FROM "table_73451" WHERE "Title" = 'Father''s Day' | 0.079102 |
CREATE TABLE table_23118 ("Fleet #" CLOB, "Year" FLOAT, "Manufacture" CLOB, "Model" CLOB, "Length ( ft ) " FLOAT, "Engine" CLOB, "Transmission" CLOB)
| What is the fleet number when the length (ft) is 30? | SELECT "Fleet #" FROM table_23118 WHERE "Length (ft)" = '30' | SELECT "Fleet #" FROM "table_23118" WHERE "Length (ft)" = '30' | 0.060547 |
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE 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)
| count the number of married patients who underwent dx ultrasound heart. | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.marital_status = "MARRIED" AND procedures.short_title = "Dx ultrasound-heart" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "procedures" ON "Dx ultrasound-heart" = "procedures"."short_title" AND "demographic"."hadm_id" = "procedures"."hadm_id" WHERE "MARRIED" = "demographic"."marital_status" | 0.236328 |
CREATE TABLE table_name_91 (record VARCHAR2, method VARCHAR2, res VARCHAR2)
| What's the record for the match when the res was a win and the method was a decision? | SELECT record FROM table_name_91 WHERE method = "decision" AND res = "win" | SELECT "record" FROM "table_name_91" WHERE "decision" = "method" AND "res" = "win" | 0.080078 |
CREATE TABLE table_25622 ("Player" CLOB, "Class Year" FLOAT, "Position" CLOB, "Teams" CLOB, "Career" CLOB, "Highlight ( s ) " CLOB)
| What class year was the player who played for Buffalo from? | SELECT MIN("Class Year") FROM table_25622 WHERE "Teams" = 'Buffalo' | SELECT MIN("Class Year") FROM "table_25622" WHERE "Teams" = 'Buffalo' | 0.067383 |
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, draw a bar chart about the distribution of founder and the average of code , and group by attribute founder, and could you order by the X-axis in desc? | SELECT T2.Founder, T1.Code FROM Products AS T1 JOIN Manufacturers AS T2 ON T1.Manufacturer = T2.Code GROUP BY T2.Founder ORDER BY T2.Founder DESC | SELECT "T2"."Founder", "T1"."Code" FROM "Products" "T1" JOIN "Manufacturers" "T2" ON "T1"."Manufacturer" = "T2"."Code" GROUP BY "T2"."Founder" ORDER BY "T2"."Founder" DESC | 0.166992 |
CREATE TABLE table_65356 ("Pick" FLOAT, "Player" CLOB, "Country of origin*" CLOB, "PBA team" CLOB, "College" CLOB)
| What is the pba team for the player who went to santo tomas college? | SELECT "PBA team" FROM table_65356 WHERE "College" = 'santo tomas' | SELECT "PBA team" FROM "table_65356" WHERE "College" = 'santo tomas' | 0.066406 |
CREATE TABLE table_8496 ("Club" CLOB, "Played" CLOB, "Drawn" CLOB, "Lost" CLOB, "Points for" CLOB, "Points against" CLOB, "Points difference" CLOB, "Points" CLOB)
| What is the number of draws for the team with a points difference of -210? | SELECT "Drawn" FROM table_8496 WHERE "Points difference" = '-210' | SELECT "Drawn" FROM "table_8496" WHERE "Points difference" = '-210' | 0.06543 |
CREATE TABLE table_name_93 (different_holders NUMBER, country VARCHAR2, giro_wins VARCHAR2)
| what is the least different holders when the country is ireland and giro wins is less than 1? | SELECT MIN(different_holders) FROM table_name_93 WHERE country = "ireland" AND giro_wins < 1 | SELECT MIN("different_holders") FROM "table_name_93" WHERE "country" = "ireland" AND "giro_wins" < 1 | 0.097656 |
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 medication (medicationid NUMBER, patientunitstayid NUMBER, drugname CLOB, dosage CLOB, routeadmin CLOB, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE diagnosis (diagnosisid NUMBER, patientunitstayid NUMBER, diagnosisname CLOB, diagnosistime TIME, icd9code CLOB)
CREATE TABLE intakeoutput (intakeoutputid NUMBER, patientunitstayid NUMBER, cellpath CLOB, celllabel CLOB, cellvaluenumeric NUMBER, intakeoutputtime TIME)
CREATE TABLE treatment (treatmentid NUMBER, patientunitstayid NUMBER, treatmentname CLOB, treatmenttime TIME)
CREATE TABLE allergy (allergyid NUMBER, patientunitstayid NUMBER, drugname CLOB, allergyname CLOB, allergytime TIME)
CREATE TABLE patient (uniquepid CLOB, patienthealthsystemstayid NUMBER, patientunitstayid NUMBER, gender CLOB, age CLOB, ethnicity CLOB, hospitalid NUMBER, wardid NUMBER, admissionheight NUMBER, admissionweight NUMBER, dischargeweight NUMBER, hospitaladmittime TIME, hospitaladmitsource CLOB, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus CLOB)
CREATE TABLE cost (costid NUMBER, uniquepid CLOB, patienthealthsystemstayid NUMBER, eventtype CLOB, eventid NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime TIME)
| when did patient 006-105495 receive a laboratory test for the first time in this hospital encounter? | SELECT lab.labresulttime FROM lab WHERE lab.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '006-105495' AND patient.hospitaldischargetime IS NULL)) ORDER BY lab.labresulttime LIMIT 1 | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."hospitaldischargetime" IS NULL AND "patient"."uniquepid" = '006-105495' 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"."labresulttime" FROM "lab" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "lab"."patientunitstayid" WHERE NOT "_u_1"."" IS NULL ORDER BY "lab"."labresulttime" FETCH FIRST 1 ROWS ONLY | 0.575195 |
CREATE TABLE table_name_40 (year NUMBER, opponent VARCHAR2)
| What is the sum of Year, when Opponent is #3 UCONN? | SELECT SUM(year) FROM table_name_40 WHERE opponent = "#3 uconn" | SELECT SUM("year") FROM "table_name_40" WHERE "#3 uconn" = "opponent" | 0.067383 |
CREATE TABLE table_72530 ("Player" CLOB, "Position" CLOB, "Starter" CLOB, "Touchdowns" FLOAT, "Extra points" FLOAT, "Field goals" FLOAT, "Points" FLOAT)
| Name the most touchdowns for becker | SELECT MAX("Touchdowns") FROM table_72530 WHERE "Player" = 'Becker' | SELECT MAX("Touchdowns") FROM "table_72530" WHERE "Player" = 'Becker' | 0.067383 |
CREATE TABLE table_name_29 (away_team VARCHAR2, venue VARCHAR2)
| In the match as corio oval, who was the away team? | SELECT away_team FROM table_name_29 WHERE venue = "corio oval" | SELECT "away_team" FROM "table_name_29" WHERE "corio oval" = "venue" | 0.066406 |
CREATE TABLE table_17505751_5 (Champions VARCHAR2, position VARCHAR2, league VARCHAR2)
| In the Champions league is the forward position smaller than 6.0 | SELECT COUNT(Champions) AS league FROM table_17505751_5 WHERE position = "Forward" AND league < 6.0 | SELECT COUNT("Champions") AS "league" FROM "table_17505751_5" WHERE "Forward" = "position" AND "league" < 6.0 | 0.106445 |
CREATE TABLE table_68197 ("Year" FLOAT, "English title" CLOB, "Original title" CLOB, "Country" CLOB, "Director'" CLOB)
| What is the original title of the film directed by Cristian Mungiu? | SELECT "Original title" FROM table_68197 WHERE "Director'" = 'cristian mungiu' | SELECT "Original title" FROM "table_68197" WHERE "Director'" = 'cristian mungiu' | 0.078125 |
CREATE TABLE table_60224 ("Crude oil name \\\\Rightarrow Location \\\\Rightarrow" CLOB, "Barrow Island Australia" FLOAT, "Mutineer-Exeter Australia" FLOAT, "CPC Blend Kazakhstan" FLOAT, "Draugen North Sea" FLOAT)
| What is the highest CPC blend Kazakhstan number when Barrow Island Australia is smaller than 12? | SELECT MAX("CPC Blend Kazakhstan") FROM table_60224 WHERE "Barrow Island Australia" < '12' | SELECT MAX("CPC Blend Kazakhstan") FROM "table_60224" WHERE "Barrow Island Australia" < '12' | 0.089844 |
CREATE TABLE PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
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 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 PostHistoryTypes (Id NUMBER, Name CLOB)
CREATE TABLE PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
CREATE TABLE ReviewTaskTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE CloseReasonTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE FlagTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE ReviewTaskStates (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE ReviewTaskResultTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Posts (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE VoteTypes (Id NUMBER, Name CLOB)
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 PostTags (PostId NUMBER, TagId NUMBER)
CREATE TABLE Users (Id NUMBER, Reputation NUMBER, CreationDate TIME, DisplayName CLOB, LastAccessDate TIME, WebsiteUrl CLOB, Location CLOB, AboutMe CLOB, Views NUMBER, UpVotes NUMBER, DownVotes NUMBER, ProfileImageUrl CLOB, EmailHash CLOB, AccountId NUMBER)
CREATE TABLE PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId NUMBER)
CREATE TABLE 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 ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId NUMBER)
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 TagSynonyms (Id NUMBER, SourceTagName CLOB, TargetTagName CLOB, CreationDate TIME, OwnerUserId NUMBER, AutoRenameCount NUMBER, LastAutoRename TIME, Score NUMBER, ApprovedByUserId NUMBER, ApprovalDate TIME)
CREATE TABLE Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
CREATE TABLE SuggestedEditVotes (Id NUMBER, SuggestedEditId NUMBER, UserId NUMBER, VoteTypeId NUMBER, CreationDate TIME, TargetUserId NUMBER, TargetRepChange 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 Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
CREATE TABLE PostHistory (Id NUMBER, PostHistoryTypeId NUMBER, PostId NUMBER, RevisionGUID other, CreationDate TIME, UserId NUMBER, UserDisplayName CLOB, Comment CLOB, Text CLOB, ContentLicense CLOB)
| Counts closed questions with score < 0, score = 0 and score > 0 in the last month. | SELECT COUNT(*) AS "Total count", SUM(CASE WHEN Score < 0 THEN 1 END) AS "Count with score < 0", SUM(CASE WHEN Score = 0 THEN 1 END) AS "Count with score = 0", SUM(CASE WHEN Score > 0 THEN 1 END) AS "Count with score > 0" FROM Posts JOIN PostHistory AS ph ON Posts.Id = ph.PostId WHERE PostTypeId = 1 AND NOT ClosedDate IS NULL AND PostHistoryTypeId = 10 AND ph.Comment != '101' AND Posts.CreationDate >= DATEADD(month, -1, GETDATE()) | SELECT COUNT(*) AS "Total count", SUM(CASE WHEN "Score" < 0 THEN 1 END) AS "Count with score < 0", SUM(CASE WHEN "Score" = 0 THEN 1 END) AS "Count with score = 0", SUM(CASE WHEN "Score" > 0 THEN 1 END) AS "Count with score > 0" FROM "Posts" JOIN "PostHistory" "ph" ON "Posts"."Id" = "ph"."PostId" AND "ph"."Comment" <> '101' WHERE "PostHistoryTypeId" = 10 AND "PostTypeId" = 1 AND "Posts"."CreationDate" >= DATEADD("month", -1, GETDATE()) AND NOT "ClosedDate" IS NULL | 0.456055 |
CREATE TABLE table_14656147_2 (attendance VARCHAR2, opponent VARCHAR2)
| type the attendance for playing with tampa bay buccaneers? | SELECT attendance FROM table_14656147_2 WHERE opponent = "Tampa Bay Buccaneers" | SELECT "attendance" FROM "table_14656147_2" WHERE "Tampa Bay Buccaneers" = "opponent" | 0.083008 |
CREATE TABLE table_name_51 (city_of_license VARCHAR2, frequency VARCHAR2)
| What is the City of license with a 88.7 fm frequency | SELECT city_of_license FROM table_name_51 WHERE frequency = "88.7 fm" | SELECT "city_of_license" FROM "table_name_51" WHERE "88.7 fm" = "frequency" | 0.073242 |
CREATE TABLE table_name_85 (place VARCHAR2, to_par VARCHAR2)
| What is the place number for the player with a To Par score of 'E'? | SELECT place FROM table_name_85 WHERE to_par = "e" | SELECT "place" FROM "table_name_85" WHERE "e" = "to_par" | 0.054688 |
CREATE TABLE table_19924 ("Series Ep." CLOB, "Episode" FLOAT, "Segment A" CLOB, "Segment B" CLOB, "Segment C" CLOB, "Segment D" CLOB)
| What is the segment A on episode 237? | SELECT "Segment A" FROM table_19924 WHERE "Episode" = '237' | SELECT "Segment A" FROM "table_19924" WHERE "Episode" = '237' | 0.05957 |
CREATE TABLE table_8860 ("Round" FLOAT, "Pick" FLOAT, "Overall" FLOAT, "Name" CLOB, "Position" CLOB, "College" CLOB)
| WHAT WAS THE OVERALL NUMBER WITH A POSITON OF DB, AND ROUND GREATER THAN 8? | SELECT COUNT("Overall") FROM table_8860 WHERE "Position" = 'db' AND "Round" > '8' | SELECT COUNT("Overall") FROM "table_8860" WHERE "Position" = 'db' AND "Round" > '8' | 0.081055 |
CREATE TABLE table_50466 ("Municipality" CLOB, "Inhabitants" FLOAT, "Mayor" CLOB, "Party" CLOB, "Election" FLOAT)
| In what Election year were there less than 16,170 Inhabitants? | SELECT COUNT("Election") FROM table_50466 WHERE "Inhabitants" < '16,170' | SELECT COUNT("Election") FROM "table_50466" WHERE "Inhabitants" < '16,170' | 0.072266 |
CREATE TABLE table_27700375_11 (high_rebounds VARCHAR2, team VARCHAR2)
| Name the high rebounds for charlotte | SELECT high_rebounds FROM table_27700375_11 WHERE team = "Charlotte" | SELECT "high_rebounds" FROM "table_27700375_11" WHERE "Charlotte" = "team" | 0.072266 |
CREATE TABLE table_name_50 (high_rebounds VARCHAR2, high_assists VARCHAR2)
| What is High Rebounds, when High Assists is 'Jason Kidd (13)'? | SELECT high_rebounds FROM table_name_50 WHERE high_assists = "jason kidd (13)" | SELECT "high_rebounds" FROM "table_name_50" WHERE "high_assists" = "jason kidd (13)" | 0.082031 |
CREATE TABLE table_name_33 (district VARCHAR2, party VARCHAR2, first_elected VARCHAR2)
| In which district is the incumbent a republican first elected in 1998? | SELECT district FROM table_name_33 WHERE party = "republican" AND first_elected = 1998 | SELECT "district" FROM "table_name_33" WHERE "first_elected" = 1998 AND "party" = "republican" | 0.091797 |
CREATE TABLE table_name_69 (year NUMBER, venue VARCHAR2)
| When is the earliest year the venue is in gothenburg, sweden? | SELECT MIN(year) FROM table_name_69 WHERE venue = "gothenburg, sweden" | SELECT MIN("year") FROM "table_name_69" WHERE "gothenburg, sweden" = "venue" | 0.074219 |
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
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)
| What is the marital status of Kenneth Koeller? | SELECT demographic.marital_status FROM demographic WHERE demographic.name = "Kenneth Koeller" | SELECT "demographic"."marital_status" FROM "demographic" WHERE "Kenneth Koeller" = "demographic"."name" | 0.100586 |
CREATE TABLE tourist_attraction_features (tourist_attraction_id NUMBER, feature_id NUMBER)
CREATE TABLE visits (visit_id NUMBER, tourist_attraction_id NUMBER, tourist_id NUMBER, visit_date TIME, visit_details CLOB)
CREATE TABLE shops (shop_id NUMBER, shop_details CLOB)
CREATE TABLE theme_parks (theme_park_id NUMBER, theme_park_details CLOB)
CREATE TABLE tourist_attractions (tourist_attraction_id NUMBER, attraction_type_code CLOB, location_id NUMBER, how_to_get_there CLOB, name CLOB, description CLOB, opening_hours CLOB, other_details CLOB)
CREATE TABLE hotels (hotel_id NUMBER, star_rating_code CLOB, pets_allowed_yn CLOB, price_range NUMBER, other_hotel_details CLOB)
CREATE TABLE street_markets (market_id NUMBER, market_details CLOB)
CREATE TABLE ref_hotel_star_ratings (star_rating_code CLOB, star_rating_description CLOB)
CREATE TABLE features (feature_id NUMBER, feature_details CLOB)
CREATE TABLE museums (museum_id NUMBER, museum_details CLOB)
CREATE TABLE ref_attraction_types (attraction_type_code CLOB, attraction_type_description CLOB)
CREATE TABLE locations (location_id NUMBER, location_name CLOB, address CLOB, other_details CLOB)
CREATE TABLE photos (photo_id NUMBER, tourist_attraction_id NUMBER, name CLOB, description CLOB, filename CLOB, other_details CLOB)
CREATE TABLE royal_family (royal_family_id NUMBER, royal_family_details CLOB)
CREATE TABLE staff (staff_id NUMBER, tourist_attraction_id NUMBER, name CLOB, other_details CLOB)
CREATE TABLE visitors (tourist_id NUMBER, tourist_details CLOB)
| What are the details of the three most expensive hotels? | SELECT other_hotel_details FROM hotels ORDER BY price_range DESC LIMIT 3 | SELECT "other_hotel_details" FROM "hotels" ORDER BY "price_range" DESC FETCH FIRST 3 ROWS ONLY | 0.091797 |
CREATE TABLE table_name_50 (year NUMBER, play VARCHAR2, recipient VARCHAR2)
| Name the average year for much ado about nothing and recipient of ray virta | SELECT AVG(year) FROM table_name_50 WHERE play = "much ado about nothing" AND recipient = "ray virta" | SELECT AVG("year") FROM "table_name_50" WHERE "much ado about nothing" = "play" AND "ray virta" = "recipient" | 0.106445 |
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