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CREATE TABLE table_name_6 (year VARCHAR2, wins VARCHAR2, win__percentage VARCHAR2, matches VARCHAR2)
| What year was the Win percentage 50.00%, with more than 14 matches, and wins more than 8? | SELECT year FROM table_name_6 WHERE win__percentage = "50.00%" AND matches > 14 AND wins > 8 | SELECT "year" FROM "table_name_6" WHERE "50.00%" = "win__percentage" AND "matches" > 14 AND "wins" > 8 | 0.099609 |
CREATE TABLE people (People_ID NUMBER, Sex CLOB, Name CLOB, Date_of_Birth CLOB, Height FLOAT, Weight FLOAT)
CREATE TABLE candidate (Candidate_ID NUMBER, People_ID NUMBER, Poll_Source CLOB, Date CLOB, Support_rate FLOAT, Consider_rate FLOAT, Oppose_rate FLOAT, Unsure_rate FLOAT)
| Return a bar chart about the distribution of Sex and the average of Weight , and group by attribute Sex, could you sort by the x axis in descending? | SELECT Sex, AVG(Weight) FROM people GROUP BY Sex ORDER BY Sex DESC | SELECT "Sex", AVG("Weight") FROM "people" GROUP BY "Sex" ORDER BY "Sex" DESC | 0.074219 |
CREATE TABLE patient (uniquepid CLOB, patienthealthsystemstayid NUMBER, patientunitstayid NUMBER, gender CLOB, age CLOB, ethnicity CLOB, hospitalid NUMBER, wardid NUMBER, admissionheight NUMBER, admissionweight NUMBER, dischargeweight NUMBER, hospitaladmittime TIME, hospitaladmitsource CLOB, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus CLOB)
CREATE TABLE lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime TIME)
CREATE TABLE medication (medicationid NUMBER, patientunitstayid NUMBER, drugname CLOB, dosage CLOB, routeadmin CLOB, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE cost (costid NUMBER, uniquepid CLOB, patienthealthsystemstayid NUMBER, eventtype CLOB, eventid NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE intakeoutput (intakeoutputid NUMBER, patientunitstayid NUMBER, cellpath CLOB, celllabel CLOB, cellvaluenumeric NUMBER, intakeoutputtime TIME)
CREATE TABLE vitalperiodic (vitalperiodicid NUMBER, patientunitstayid NUMBER, temperature NUMBER, sao2 NUMBER, heartrate NUMBER, respiration NUMBER, systemicsystolic NUMBER, systemicdiastolic NUMBER, systemicmean NUMBER, observationtime TIME)
CREATE TABLE allergy (allergyid NUMBER, patientunitstayid NUMBER, drugname CLOB, allergyname CLOB, allergytime TIME)
CREATE TABLE treatment (treatmentid NUMBER, patientunitstayid NUMBER, treatmentname CLOB, treatmenttime TIME)
CREATE TABLE microlab (microlabid NUMBER, patientunitstayid NUMBER, culturesite CLOB, organism CLOB, culturetakentime TIME)
CREATE TABLE diagnosis (diagnosisid NUMBER, patientunitstayid NUMBER, diagnosisname CLOB, diagnosistime TIME, icd9code CLOB)
| what number of patients were given neuromuscular blocking agent two or more times until 2103? | SELECT COUNT(DISTINCT t1.uniquepid) FROM (SELECT patient.uniquepid, COUNT(*) AS c1 FROM patient WHERE patient.patientunitstayid = (SELECT treatment.patientunitstayid FROM treatment WHERE treatment.treatmentname = 'neuromuscular blocking agent' AND STRFTIME('%y', treatment.treatmenttime) <= '2103') GROUP BY patient.uniquepid) AS t1 WHERE t1.c1 >= 2 | WITH "t1" AS (SELECT "patient"."uniquepid", COUNT(*) AS "c1" FROM "patient" JOIN "treatment" ON "patient"."patientunitstayid" = "treatment"."patientunitstayid" AND "treatment"."treatmentname" = 'neuromuscular blocking agent' AND STRFTIME('%y', "treatment"."treatmenttime") <= '2103' GROUP BY "patient"."uniquepid") SELECT COUNT(DISTINCT "t1"."uniquepid") FROM "t1" "t1" WHERE "t1"."c1" >= 2 | 0.380859 |
CREATE TABLE table_name_60 (margin_of_victory VARCHAR2, winning_score VARCHAR2)
| What was the margin of victory in the tournament with a winning score of 3 (74-68-72-71=285)? | SELECT margin_of_victory FROM table_name_60 WHERE winning_score = −3(74 - 68 - 72 - 71 = 285) | SELECT "margin_of_victory" FROM "table_name_60" WHERE "winning_score" = −3(FALSE) | 0.079102 |
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)
| Which patients had a quantitative g6pd lab test and were admitted before the year 2114? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.admityear < "2114" AND lab.label = "Quantitative G6PD" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "lab" ON "Quantitative G6PD" = "lab"."label" AND "demographic"."hadm_id" = "lab"."hadm_id" WHERE "2114" > "demographic"."admityear" | 0.200195 |
CREATE TABLE table_29626583_3 (position VARCHAR2, mls_team VARCHAR2)
| What position did the team new york red bulls pick? | SELECT position FROM table_29626583_3 WHERE mls_team = "New York Red Bulls" | SELECT "position" FROM "table_29626583_3" WHERE "New York Red Bulls" = "mls_team" | 0.079102 |
CREATE TABLE table_29785324_5 (district VARCHAR2, constituency_no VARCHAR2)
| What district has 213 constituents? | SELECT COUNT(district) FROM table_29785324_5 WHERE constituency_no = 213 | SELECT COUNT("district") FROM "table_29785324_5" WHERE "constituency_no" = 213 | 0.076172 |
CREATE TABLE job_history (EMPLOYEE_ID NUMBER, START_DATE DATE, END_DATE DATE, JOB_ID VARCHAR2, DEPARTMENT_ID NUMBER)
CREATE TABLE regions (REGION_ID NUMBER, REGION_NAME VARCHAR2)
CREATE TABLE countries (COUNTRY_ID VARCHAR2, COUNTRY_NAME VARCHAR2, REGION_ID NUMBER)
CREATE TABLE departments (DEPARTMENT_ID NUMBER, DEPARTMENT_NAME VARCHAR2, MANAGER_ID NUMBER, LOCATION_ID NUMBER)
CREATE TABLE locations (LOCATION_ID NUMBER, STREET_ADDRESS VARCHAR2, POSTAL_CODE VARCHAR2, CITY VARCHAR2, STATE_PROVINCE VARCHAR2, COUNTRY_ID VARCHAR2)
CREATE TABLE employees (EMPLOYEE_ID NUMBER, FIRST_NAME VARCHAR2, LAST_NAME VARCHAR2, EMAIL VARCHAR2, PHONE_NUMBER VARCHAR2, HIRE_DATE DATE, JOB_ID VARCHAR2, SALARY NUMBER, COMMISSION_PCT NUMBER, MANAGER_ID NUMBER, DEPARTMENT_ID NUMBER)
CREATE TABLE jobs (JOB_ID VARCHAR2, JOB_TITLE VARCHAR2, MIN_SALARY NUMBER, MAX_SALARY NUMBER)
| For those employees whose salary is in the range of 8000 and 12000 and commission is not null or department number does not equal to 40, give me the comparison about the sum of employee_id over the hire_date bin hire_date by time, and list by the sum employee id in ascending please. | SELECT HIRE_DATE, SUM(EMPLOYEE_ID) FROM employees WHERE SALARY BETWEEN 8000 AND 12000 AND COMMISSION_PCT <> "null" OR DEPARTMENT_ID <> 40 ORDER BY SUM(EMPLOYEE_ID) | SELECT "HIRE_DATE", SUM("EMPLOYEE_ID") FROM "employees" WHERE ("COMMISSION_PCT" <> "null" OR "DEPARTMENT_ID" <> 40) AND ("DEPARTMENT_ID" <> 40 OR "SALARY" <= 12000) AND ("DEPARTMENT_ID" <> 40 OR "SALARY" >= 8000) ORDER BY SUM("EMPLOYEE_ID") | 0.234375 |
CREATE TABLE table_10259 ("Rank" FLOAT, "Mountain Pass" CLOB, "State" CLOB, "Elevation" CLOB, "Route" FLOAT)
| What is the route that has a rank higher than 63, and Separation Summit as its mountain pass? | SELECT SUM("Route") FROM table_10259 WHERE "Rank" > '63' AND "Mountain Pass" = 'separation summit' | SELECT SUM("Route") FROM "table_10259" WHERE "Mountain Pass" = 'separation summit' AND "Rank" > '63' | 0.097656 |
CREATE TABLE table_204_117 (id NUMBER, "season" NUMBER, "level" CLOB, "division" CLOB, "section" CLOB, "position" CLOB, "movements" CLOB)
| which year was more successful , 2007 or 2002 ? | SELECT "season" FROM table_204_117 WHERE "season" IN (2007, 2002) ORDER BY "position" LIMIT 1 | SELECT "season" FROM "table_204_117" WHERE "season" IN (2007, 2002) ORDER BY "position" FETCH FIRST 1 ROWS ONLY | 0.108398 |
CREATE TABLE offering_instructor (offering_instructor_id NUMBER, offering_id NUMBER, instructor_id NUMBER)
CREATE TABLE program_requirement (program_id NUMBER, category VARCHAR2, min_credit NUMBER, additional_req VARCHAR2)
CREATE TABLE course_offering (offering_id NUMBER, course_id NUMBER, semester NUMBER, section_number NUMBER, start_time TIME, end_time TIME, monday VARCHAR2, tuesday VARCHAR2, wednesday VARCHAR2, thursday VARCHAR2, friday VARCHAR2, saturday VARCHAR2, sunday VARCHAR2, has_final_project VARCHAR2, has_final_exam VARCHAR2, textbook VARCHAR2, class_address VARCHAR2, allow_audit VARCHAR2)
CREATE TABLE program (program_id NUMBER, name VARCHAR2, college VARCHAR2, introduction VARCHAR2)
CREATE TABLE ta (campus_job_id NUMBER, student_id NUMBER, location VARCHAR2)
CREATE TABLE comment_instructor (instructor_id NUMBER, student_id NUMBER, score NUMBER, comment_text VARCHAR2)
CREATE TABLE instructor (instructor_id NUMBER, name VARCHAR2, uniqname VARCHAR2)
CREATE TABLE course_tags_count (course_id NUMBER, clear_grading NUMBER, pop_quiz NUMBER, group_projects NUMBER, inspirational NUMBER, long_lectures NUMBER, extra_credit NUMBER, few_tests NUMBER, good_feedback NUMBER, tough_tests NUMBER, heavy_papers NUMBER, cares_for_students NUMBER, heavy_assignments NUMBER, respected NUMBER, participation NUMBER, heavy_reading NUMBER, tough_grader NUMBER, hilarious NUMBER, would_take_again NUMBER, good_lecture NUMBER, no_skip NUMBER)
CREATE TABLE course (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 program_course (program_id NUMBER, course_id NUMBER, workload NUMBER, category VARCHAR2)
CREATE TABLE course_prerequisite (pre_course_id NUMBER, course_id NUMBER)
CREATE TABLE semester (semester_id NUMBER, semester VARCHAR2, year NUMBER)
CREATE TABLE gsi (course_offering_id NUMBER, student_id NUMBER)
CREATE TABLE area (course_id NUMBER, area VARCHAR2)
CREATE TABLE student_record (student_id NUMBER, course_id NUMBER, semester NUMBER, grade VARCHAR2, how VARCHAR2, transfer_source VARCHAR2, earn_credit VARCHAR2, repeat_term VARCHAR2, test_id VARCHAR2)
CREATE TABLE 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 requirement (requirement_id NUMBER, requirement VARCHAR2, college VARCHAR2)
CREATE TABLE jobs (job_id NUMBER, job_title VARCHAR2, description VARCHAR2, requirement VARCHAR2, city VARCHAR2, state VARCHAR2, country VARCHAR2, zip NUMBER)
| Next Winter , is Prof. Scott Hershovitz teaching 633 ? | SELECT COUNT(*) > 0 FROM course, course_offering, instructor, offering_instructor, semester WHERE course.course_id = course_offering.course_id AND course.department = 'EECS' AND course.number = 633 AND instructor.name LIKE '%Scott Hershovitz%' AND offering_instructor.instructor_id = instructor.instructor_id AND offering_instructor.offering_id = course_offering.offering_id AND semester.semester = 'Winter' AND semester.semester_id = course_offering.semester AND semester.year = 2017 | SELECT COUNT(*) > 0 FROM "course" JOIN "course_offering" ON "course"."course_id" = "course_offering"."course_id" JOIN "offering_instructor" ON "course_offering"."offering_id" = "offering_instructor"."offering_id" JOIN "semester" ON "course_offering"."semester" = "semester"."semester_id" AND "semester"."semester" = 'Winter' AND "semester"."year" = 2017 JOIN "instructor" ON "instructor"."instructor_id" = "offering_instructor"."instructor_id" AND "instructor"."name" LIKE '%Scott Hershovitz%' WHERE "course"."department" = 'EECS' AND "course"."number" = 633 | 0.544922 |
CREATE TABLE compartment_class (compartment VARCHAR2, class_type VARCHAR2)
CREATE TABLE restriction (restriction_code CLOB, advance_purchase NUMBER, stopovers CLOB, saturday_stay_required CLOB, minimum_stay NUMBER, maximum_stay NUMBER, application CLOB, no_discounts CLOB)
CREATE TABLE city (city_code VARCHAR2, city_name VARCHAR2, state_code VARCHAR2, country_name VARCHAR2, time_zone_code VARCHAR2)
CREATE TABLE airport_service (city_code VARCHAR2, airport_code VARCHAR2, miles_distant NUMBER, direction VARCHAR2, minutes_distant NUMBER)
CREATE TABLE days (days_code VARCHAR2, day_name VARCHAR2)
CREATE TABLE flight_leg (flight_id NUMBER, leg_number NUMBER, leg_flight NUMBER)
CREATE TABLE equipment_sequence (aircraft_code_sequence VARCHAR2, aircraft_code VARCHAR2)
CREATE TABLE flight (aircraft_code_sequence CLOB, airline_code VARCHAR2, airline_flight CLOB, arrival_time NUMBER, connections NUMBER, departure_time NUMBER, dual_carrier CLOB, flight_days CLOB, flight_id NUMBER, flight_number NUMBER, from_airport VARCHAR2, meal_code CLOB, stops NUMBER, time_elapsed NUMBER, to_airport VARCHAR2)
CREATE TABLE date_day (month_number NUMBER, day_number NUMBER, year NUMBER, day_name VARCHAR2)
CREATE TABLE code_description (code VARCHAR2, description CLOB)
CREATE TABLE month (month_number NUMBER, month_name CLOB)
CREATE TABLE food_service (meal_code CLOB, meal_number NUMBER, compartment CLOB, meal_description VARCHAR2)
CREATE TABLE fare (fare_id NUMBER, from_airport VARCHAR2, to_airport VARCHAR2, fare_basis_code CLOB, fare_airline CLOB, restriction_code CLOB, one_direction_cost NUMBER, round_trip_cost NUMBER, round_trip_required VARCHAR2)
CREATE TABLE state (state_code CLOB, state_name CLOB, country_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 dual_carrier (main_airline VARCHAR2, low_flight_number NUMBER, high_flight_number NUMBER, dual_airline VARCHAR2, service_name CLOB)
CREATE TABLE ground_service (city_code CLOB, airport_code CLOB, transport_type CLOB, ground_fare NUMBER)
CREATE TABLE airport (airport_code VARCHAR2, airport_name CLOB, airport_location CLOB, state_code VARCHAR2, country_name VARCHAR2, time_zone_code VARCHAR2, minimum_connect_time NUMBER)
CREATE TABLE time_zone (time_zone_code CLOB, time_zone_name CLOB, hours_from_gmt NUMBER)
CREATE TABLE time_interval (period CLOB, begin_time NUMBER, end_time NUMBER)
CREATE TABLE aircraft (aircraft_code VARCHAR2, aircraft_description VARCHAR2, manufacturer VARCHAR2, basic_type VARCHAR2, engines NUMBER, propulsion VARCHAR2, wide_body VARCHAR2, wing_span NUMBER, length NUMBER, weight NUMBER, capacity NUMBER, pay_load NUMBER, cruising_speed NUMBER, range_miles NUMBER, pressurized VARCHAR2)
CREATE TABLE airline (airline_code VARCHAR2, airline_name CLOB, note CLOB)
CREATE TABLE class_of_service (booking_class VARCHAR2, rank NUMBER, class_description CLOB)
CREATE TABLE flight_fare (flight_id NUMBER, fare_id NUMBER)
CREATE TABLE fare_basis (fare_basis_code CLOB, booking_class CLOB, class_type CLOB, premium CLOB, economy CLOB, discounted CLOB, night CLOB, season CLOB, basis_days CLOB)
| i need flight information between ATLANTA and BOSTON | 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 = 'ATLANTA' AND CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'BOSTON' 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" = 'ATLANTA' 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" = 'BOSTON' | 0.481445 |
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 name and revenue , and group by attribute founder, sort by the X-axis in descending. | SELECT T1.Name, T2.Revenue FROM Products AS T1 JOIN Manufacturers AS T2 ON T1.Manufacturer = T2.Code GROUP BY Founder, T1.Name ORDER BY T1.Name DESC | SELECT "T1"."Name", "T2"."Revenue" FROM "Products" "T1" JOIN "Manufacturers" "T2" ON "T1"."Manufacturer" = "T2"."Code" GROUP BY "Founder", "T1"."Name" ORDER BY "T1"."Name" DESC | 0.171875 |
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 jobs (JOB_ID VARCHAR2, JOB_TITLE VARCHAR2, MIN_SALARY NUMBER, MAX_SALARY NUMBER)
CREATE TABLE countries (COUNTRY_ID VARCHAR2, COUNTRY_NAME VARCHAR2, REGION_ID NUMBER)
CREATE TABLE employees (EMPLOYEE_ID NUMBER, FIRST_NAME VARCHAR2, LAST_NAME VARCHAR2, EMAIL VARCHAR2, PHONE_NUMBER VARCHAR2, HIRE_DATE DATE, JOB_ID VARCHAR2, SALARY NUMBER, COMMISSION_PCT NUMBER, MANAGER_ID NUMBER, DEPARTMENT_ID NUMBER)
CREATE TABLE job_history (EMPLOYEE_ID NUMBER, START_DATE DATE, END_DATE DATE, JOB_ID VARCHAR2, DEPARTMENT_ID NUMBER)
CREATE TABLE regions (REGION_ID NUMBER, REGION_NAME VARCHAR2)
| For those employees who do not work in departments with managers that have ids between 100 and 200, draw a bar chart about the distribution of hire_date and the sum of department_id bin hire_date by weekday, I want to rank from low to high by the Y please. | SELECT HIRE_DATE, SUM(DEPARTMENT_ID) FROM employees WHERE NOT DEPARTMENT_ID IN (SELECT DEPARTMENT_ID FROM departments WHERE MANAGER_ID BETWEEN 100 AND 200) ORDER BY SUM(DEPARTMENT_ID) | SELECT "HIRE_DATE", SUM("DEPARTMENT_ID") FROM "employees" WHERE NOT "DEPARTMENT_ID" IN (SELECT "DEPARTMENT_ID" FROM "departments" WHERE "MANAGER_ID" <= 200 AND "MANAGER_ID" >= 100) ORDER BY SUM("DEPARTMENT_ID") | 0.205078 |
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 patients tested for wbc and other fluids in lab? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE lab.label = "WBC, Other Fluid" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "lab" ON "WBC, Other Fluid" = "lab"."label" AND "demographic"."hadm_id" = "lab"."hadm_id" | 0.15918 |
CREATE TABLE visits_restaurant (stuid NUMBER, resid NUMBER, time TIME, spent NUMBER)
CREATE TABLE restaurant_type (restypeid NUMBER, restypename CLOB, restypedescription CLOB)
CREATE TABLE type_of_restaurant (resid NUMBER, restypeid NUMBER)
CREATE TABLE restaurant (resid NUMBER, resname CLOB, address CLOB, rating NUMBER)
CREATE TABLE student (stuid NUMBER, lname CLOB, fname CLOB, age NUMBER, sex CLOB, major NUMBER, advisor NUMBER, city_code CLOB)
| Which city does student Linda Smith live in? | SELECT city_code FROM student WHERE fname = "Linda" AND lname = "Smith" | SELECT "city_code" FROM "student" WHERE "Linda" = "fname" AND "Smith" = "lname" | 0.077148 |
CREATE TABLE table_24638867_4 (championship VARCHAR2, partner VARCHAR2)
| What championships had a match where Natasha Zvereva played as partner? | SELECT championship FROM table_24638867_4 WHERE partner = "Natasha Zvereva" | SELECT "championship" FROM "table_24638867_4" WHERE "Natasha Zvereva" = "partner" | 0.079102 |
CREATE TABLE countries (COUNTRY_ID VARCHAR2, COUNTRY_NAME VARCHAR2, REGION_ID NUMBER)
CREATE TABLE employees (EMPLOYEE_ID NUMBER, FIRST_NAME VARCHAR2, LAST_NAME VARCHAR2, EMAIL VARCHAR2, PHONE_NUMBER VARCHAR2, HIRE_DATE DATE, JOB_ID VARCHAR2, SALARY NUMBER, COMMISSION_PCT NUMBER, MANAGER_ID NUMBER, DEPARTMENT_ID NUMBER)
CREATE TABLE locations (LOCATION_ID NUMBER, STREET_ADDRESS VARCHAR2, POSTAL_CODE VARCHAR2, CITY VARCHAR2, STATE_PROVINCE VARCHAR2, COUNTRY_ID VARCHAR2)
CREATE TABLE job_history (EMPLOYEE_ID NUMBER, START_DATE DATE, END_DATE DATE, JOB_ID VARCHAR2, DEPARTMENT_ID NUMBER)
CREATE TABLE jobs (JOB_ID VARCHAR2, JOB_TITLE VARCHAR2, MIN_SALARY NUMBER, MAX_SALARY NUMBER)
CREATE TABLE departments (DEPARTMENT_ID NUMBER, DEPARTMENT_NAME VARCHAR2, MANAGER_ID NUMBER, LOCATION_ID NUMBER)
CREATE TABLE regions (REGION_ID NUMBER, REGION_NAME VARCHAR2)
| For those employees who did not have any job in the past, show me about the distribution of hire_date and the sum of employee_id bin hire_date by time in a bar chart, and sort by the y-axis in descending. | SELECT HIRE_DATE, SUM(EMPLOYEE_ID) FROM employees WHERE NOT EMPLOYEE_ID IN (SELECT EMPLOYEE_ID FROM job_history) ORDER BY SUM(EMPLOYEE_ID) DESC | SELECT "HIRE_DATE", SUM("EMPLOYEE_ID") FROM "employees" WHERE NOT "EMPLOYEE_ID" IN (SELECT "EMPLOYEE_ID" FROM "job_history") ORDER BY SUM("EMPLOYEE_ID") DESC | 0.15332 |
CREATE TABLE bridge (architect_id NUMBER, id NUMBER, name CLOB, location CLOB, length_meters FLOAT, length_feet FLOAT)
CREATE TABLE architect (id CLOB, name CLOB, nationality CLOB, gender CLOB)
CREATE TABLE mill (architect_id NUMBER, id NUMBER, location CLOB, name CLOB, type CLOB, built_year NUMBER, notes CLOB)
| Give me a histogram for what are the ids and names of the architects who built at least 3 bridges ? | SELECT T1.name, T1.id FROM architect AS T1 JOIN bridge AS T2 ON T1.id = T2.architect_id | SELECT "T1"."name", "T1"."id" FROM "architect" "T1" JOIN "bridge" "T2" ON "T1"."id" = "T2"."architect_id" | 0.102539 |
CREATE TABLE table_24729 ("Date" CLOB, "Event #" CLOB, "Event" CLOB, "Winner" CLOB, "Prize" CLOB, "Entries" CLOB, "Prize Pool" CLOB, "Elapsed Time" CLOB)
| Event number 38m was held on which date? | SELECT "Date" FROM table_24729 WHERE "Event #" = '38M' | SELECT "Date" FROM "table_24729" WHERE "Event #" = '38M' | 0.054688 |
CREATE TABLE table_203_215 (id NUMBER, "year" NUMBER, "competition" CLOB, "venue" CLOB, "position" CLOB, "event" CLOB, "notes" CLOB)
| what was the least position won ? | SELECT "position" FROM table_203_215 ORDER BY "position" DESC LIMIT 1 | SELECT "position" FROM "table_203_215" ORDER BY "position" DESC FETCH FIRST 1 ROWS ONLY | 0.084961 |
CREATE TABLE table_75357 ("Call sign" CLOB, "Frequency MHz" FLOAT, "City of license" CLOB, "ERP W" FLOAT, "Class" CLOB, "FCC info" CLOB)
| Name the ERP W for frequency of 92.7 | SELECT "ERP W" FROM table_75357 WHERE "Frequency MHz" = '92.7' | SELECT "ERP W" FROM "table_75357" WHERE "Frequency MHz" = '92.7' | 0.0625 |
CREATE TABLE treatment (treatmentid NUMBER, patientunitstayid NUMBER, treatmentname CLOB, treatmenttime TIME)
CREATE TABLE intakeoutput (intakeoutputid NUMBER, patientunitstayid NUMBER, cellpath CLOB, celllabel CLOB, cellvaluenumeric NUMBER, intakeoutputtime TIME)
CREATE TABLE diagnosis (diagnosisid NUMBER, patientunitstayid NUMBER, diagnosisname CLOB, diagnosistime TIME, icd9code CLOB)
CREATE TABLE vitalperiodic (vitalperiodicid NUMBER, patientunitstayid NUMBER, temperature NUMBER, sao2 NUMBER, heartrate NUMBER, respiration NUMBER, systemicsystolic NUMBER, systemicdiastolic NUMBER, systemicmean NUMBER, observationtime TIME)
CREATE TABLE microlab (microlabid NUMBER, patientunitstayid NUMBER, culturesite CLOB, organism CLOB, culturetakentime TIME)
CREATE TABLE allergy (allergyid NUMBER, patientunitstayid NUMBER, drugname CLOB, allergyname CLOB, allergytime TIME)
CREATE TABLE lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime TIME)
CREATE TABLE patient (uniquepid CLOB, patienthealthsystemstayid NUMBER, patientunitstayid NUMBER, gender CLOB, age CLOB, ethnicity CLOB, hospitalid NUMBER, wardid NUMBER, admissionheight NUMBER, admissionweight NUMBER, dischargeweight NUMBER, hospitaladmittime TIME, hospitaladmitsource CLOB, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus CLOB)
CREATE TABLE medication (medicationid NUMBER, patientunitstayid NUMBER, drugname CLOB, dosage CLOB, routeadmin CLOB, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE cost (costid NUMBER, uniquepid CLOB, patienthealthsystemstayid NUMBER, eventtype CLOB, eventid NUMBER, chargetime TIME, cost NUMBER)
| have acetaminophen, 50 ml vial : dextrose 50 % iv soln or acetaminophen (tylenol) tablet 650 mg been ordered in their first hospital visit for patient 022-89058? | SELECT COUNT(*) > 0 FROM medication WHERE medication.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '022-89058' AND NOT patient.hospitaldischargetime IS NULL ORDER BY patient.hospitaladmittime LIMIT 1)) AND medication.drugname IN ('acetaminophen', '50 ml vial : dextrose 50 % iv soln', 'acetaminophen (tylenol) tablet 650 mg') | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '022-89058' AND NOT "patient"."hospitaldischargetime" IS NULL GROUP BY "patienthealthsystemstayid" ORDER BY "patient"."hospitaladmittime" FETCH FIRST 1 ROWS ONLY), "_u_1" AS (SELECT "patient"."patientunitstayid" FROM "patient" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "patient"."patienthealthsystemstayid" WHERE NOT "_u_0"."" IS NULL GROUP BY "patientunitstayid") SELECT COUNT(*) > 0 FROM "medication" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "medication"."patientunitstayid" WHERE "medication"."drugname" IN ('acetaminophen', '50 ml vial : dextrose 50 % iv soln', 'acetaminophen (tylenol) tablet 650 mg') AND NOT "_u_1"."" IS NULL | 0.71582 |
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 airport_service (city_code VARCHAR2, airport_code VARCHAR2, miles_distant NUMBER, direction VARCHAR2, minutes_distant NUMBER)
CREATE TABLE city (city_code VARCHAR2, city_name VARCHAR2, state_code VARCHAR2, country_name VARCHAR2, time_zone_code VARCHAR2)
CREATE TABLE state (state_code CLOB, state_name CLOB, country_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 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 fare_basis (fare_basis_code CLOB, booking_class CLOB, class_type CLOB, premium CLOB, economy CLOB, discounted CLOB, night CLOB, season CLOB, basis_days CLOB)
CREATE TABLE airport (airport_code VARCHAR2, airport_name CLOB, airport_location CLOB, state_code VARCHAR2, country_name VARCHAR2, time_zone_code VARCHAR2, minimum_connect_time NUMBER)
CREATE TABLE flight_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 equipment_sequence (aircraft_code_sequence VARCHAR2, aircraft_code VARCHAR2)
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 food_service (meal_code CLOB, meal_number NUMBER, compartment CLOB, meal_description VARCHAR2)
CREATE TABLE days (days_code VARCHAR2, day_name VARCHAR2)
CREATE TABLE flight_leg (flight_id NUMBER, leg_number NUMBER, leg_flight NUMBER)
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 flight_fare (flight_id NUMBER, fare_id NUMBER)
CREATE TABLE month (month_number NUMBER, month_name CLOB)
CREATE TABLE class_of_service (booking_class VARCHAR2, rank NUMBER, class_description CLOB)
CREATE TABLE time_interval (period CLOB, begin_time NUMBER, end_time NUMBER)
CREATE TABLE restriction (restriction_code CLOB, advance_purchase NUMBER, stopovers CLOB, saturday_stay_required CLOB, minimum_stay NUMBER, maximum_stay NUMBER, application CLOB, no_discounts CLOB)
| i need a list of late afternoon flights from CHICAGO to MILWAUKEE | 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 = 'CHICAGO' AND CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'MILWAUKEE' AND flight.from_airport = AIRPORT_SERVICE_0.airport_code AND flight.to_airport = AIRPORT_SERVICE_1.airport_code) AND flight.departure_time BETWEEN 1600 AND 1800 | 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" = 'CHICAGO' JOIN "flight" ON "AIRPORT_SERVICE_0"."airport_code" = "flight"."from_airport" AND "flight"."departure_time" <= 1800 AND "flight"."departure_time" >= 1600 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" = 'MILWAUKEE' | 0.558594 |
CREATE TABLE airline (airline_code VARCHAR2, airline_name CLOB, note 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 dual_carrier (main_airline VARCHAR2, low_flight_number NUMBER, high_flight_number NUMBER, dual_airline VARCHAR2, service_name CLOB)
CREATE TABLE restriction (restriction_code CLOB, advance_purchase NUMBER, stopovers CLOB, saturday_stay_required CLOB, minimum_stay NUMBER, maximum_stay NUMBER, application CLOB, no_discounts CLOB)
CREATE TABLE days (days_code VARCHAR2, day_name VARCHAR2)
CREATE TABLE fare (fare_id NUMBER, from_airport VARCHAR2, to_airport VARCHAR2, fare_basis_code CLOB, fare_airline CLOB, restriction_code CLOB, one_direction_cost NUMBER, round_trip_cost NUMBER, round_trip_required VARCHAR2)
CREATE TABLE 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 date_day (month_number NUMBER, day_number NUMBER, year NUMBER, day_name VARCHAR2)
CREATE TABLE compartment_class (compartment VARCHAR2, class_type 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 airport_service (city_code VARCHAR2, airport_code VARCHAR2, miles_distant NUMBER, direction VARCHAR2, minutes_distant NUMBER)
CREATE TABLE time_interval (period CLOB, begin_time NUMBER, end_time NUMBER)
CREATE TABLE ground_service (city_code CLOB, airport_code CLOB, transport_type CLOB, ground_fare NUMBER)
CREATE TABLE city (city_code VARCHAR2, city_name VARCHAR2, state_code VARCHAR2, country_name VARCHAR2, time_zone_code VARCHAR2)
CREATE TABLE code_description (code VARCHAR2, description CLOB)
CREATE TABLE equipment_sequence (aircraft_code_sequence VARCHAR2, aircraft_code VARCHAR2)
CREATE TABLE flight_fare (flight_id NUMBER, fare_id NUMBER)
CREATE TABLE food_service (meal_code CLOB, meal_number NUMBER, compartment CLOB, meal_description VARCHAR2)
CREATE TABLE flight_leg (flight_id NUMBER, leg_number NUMBER, leg_flight NUMBER)
CREATE TABLE 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 class_of_service (booking_class VARCHAR2, rank NUMBER, class_description CLOB)
CREATE TABLE flight_stop (flight_id NUMBER, stop_number NUMBER, stop_days CLOB, stop_airport CLOB, arrival_time NUMBER, arrival_airline CLOB, arrival_flight_number NUMBER, departure_time NUMBER, departure_airline CLOB, departure_flight_number NUMBER, stop_time NUMBER)
CREATE TABLE 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 month (month_number NUMBER, month_name CLOB)
| i would like to book a round trip flight from KANSAS CITY to CHICAGO | SELECT DISTINCT flight.flight_id FROM airport_service AS AIRPORT_SERVICE_0, airport_service AS AIRPORT_SERVICE_1, city AS CITY_0, city AS CITY_1, fare, flight, flight_fare WHERE (CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'CHICAGO' AND NOT fare.round_trip_cost IS NULL AND flight_fare.fare_id = fare.fare_id AND flight.flight_id = flight_fare.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 = 'KANSAS CITY' 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" = 'KANSAS CITY' JOIN "flight" ON "AIRPORT_SERVICE_0"."airport_code" = "flight"."from_airport" JOIN "airport_service" "AIRPORT_SERVICE_1" ON "AIRPORT_SERVICE_1"."airport_code" = "flight"."to_airport" JOIN "flight_fare" ON "flight"."flight_id" = "flight_fare"."flight_id" JOIN "city" "CITY_1" ON "AIRPORT_SERVICE_1"."city_code" = "CITY_1"."city_code" AND "CITY_1"."city_name" = 'CHICAGO' JOIN "fare" ON "fare"."fare_id" = "flight_fare"."fare_id" AND NOT "fare"."round_trip_cost" IS NULL | 0.652344 |
CREATE TABLE table_name_28 (opponent VARCHAR2, date VARCHAR2)
| Who was the opponent on september 10, 1979? | SELECT opponent FROM table_name_28 WHERE date = "september 10, 1979" | SELECT "opponent" FROM "table_name_28" WHERE "date" = "september 10, 1979" | 0.072266 |
CREATE TABLE d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
CREATE TABLE prescriptions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, startdate TIME, enddate TIME, drug CLOB, dose_val_rx CLOB, dose_unit_rx CLOB, route CLOB)
CREATE TABLE transfers (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, eventtype CLOB, careunit CLOB, wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
CREATE TABLE diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
CREATE TABLE patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
CREATE TABLE chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
CREATE TABLE admissions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, admittime TIME, dischtime TIME, admission_type CLOB, admission_location CLOB, discharge_location CLOB, insurance CLOB, language CLOB, marital_status CLOB, ethnicity CLOB, age NUMBER)
CREATE TABLE procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
CREATE TABLE 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)
| how many patients died within 2 months after being diagnosed until 4 years ago with alkalosis? | SELECT COUNT(DISTINCT t2.subject_id) FROM (SELECT t1.subject_id, t1.charttime FROM (SELECT admissions.subject_id, diagnoses_icd.charttime FROM diagnoses_icd JOIN admissions ON diagnoses_icd.hadm_id = admissions.hadm_id WHERE diagnoses_icd.icd9_code = (SELECT d_icd_diagnoses.icd9_code FROM d_icd_diagnoses WHERE d_icd_diagnoses.short_title = 'alkalosis')) AS t1 GROUP BY t1.subject_id HAVING MIN(t1.charttime) = t1.charttime AND DATETIME(t1.charttime) <= DATETIME(CURRENT_TIME(), '-4 year')) AS t2 JOIN (SELECT patients.subject_id, admissions.hadm_id, patients.dod FROM admissions JOIN patients ON patients.subject_id = admissions.subject_id WHERE NOT patients.dod IS NULL AND DATETIME(patients.dod) <= DATETIME(CURRENT_TIME(), '-4 year')) AS t3 ON t2.subject_id = t3.subject_id WHERE (DATETIME(t3.dod) BETWEEN DATETIME(t2.charttime) AND DATETIME(t2.charttime, '+2 month')) OR (DATETIME(t2.charttime) BETWEEN DATETIME(t3.dod) AND DATETIME(t3.dod, '+2 month')) | WITH "t2" AS (SELECT "admissions"."subject_id", "diagnoses_icd"."charttime" FROM "diagnoses_icd" JOIN "d_icd_diagnoses" ON "d_icd_diagnoses"."icd9_code" = "diagnoses_icd"."icd9_code" AND "d_icd_diagnoses"."short_title" = 'alkalosis' JOIN "admissions" ON "admissions"."hadm_id" = "diagnoses_icd"."hadm_id" GROUP BY "admissions"."subject_id" HAVING "diagnoses_icd"."charttime" = MIN("diagnoses_icd"."charttime") AND DATETIME("diagnoses_icd"."charttime") <= DATETIME(CURRENT_TIME(), '-4 year')), "t3" AS (SELECT "patients"."subject_id", "patients"."dod" FROM "admissions" JOIN "patients" ON "admissions"."subject_id" = "patients"."subject_id" AND DATETIME("patients"."dod") <= DATETIME(CURRENT_TIME(), '-4 year') AND NOT "patients"."dod" IS NULL) SELECT COUNT(DISTINCT "t2"."subject_id") FROM "t2" "t2" JOIN "t3" "t3" ON "t2"."subject_id" = "t3"."subject_id" AND ((DATETIME("t2"."charttime") <= DATETIME("t3"."dod") AND DATETIME("t2"."charttime", '+2 month') >= DATETIME("t3"."dod")) OR (DATETIME("t2"."charttime") <= DATETIME("t3"."dod", '+2 month') AND DATETIME("t2"."charttime") >= DATETIME("t3"."dod"))) WHERE (DATETIME("t2"."charttime") <= DATETIME("t3"."dod") AND DATETIME("t2"."charttime", '+2 month') >= DATETIME("t3"."dod")) OR (DATETIME("t2"."charttime") <= DATETIME("t3"."dod", '+2 month') AND DATETIME("t2"."charttime") >= DATETIME("t3"."dod")) | 1.321289 |
CREATE TABLE city (White VARCHAR2, County_ID VARCHAR2)
CREATE TABLE county_public_safety (Crime_rate VARCHAR2, County_ID VARCHAR2)
| Show white percentages of cities and the crime rates of counties they are in. | SELECT T1.White, T2.Crime_rate FROM city AS T1 JOIN county_public_safety AS T2 ON T1.County_ID = T2.County_ID | SELECT "T1"."White", "T2"."Crime_rate" FROM "city" "T1" JOIN "county_public_safety" "T2" ON "T1"."County_ID" = "T2"."County_ID" | 0.124023 |
CREATE TABLE classification (id NUMBER, msid NUMBER, gid NUMBER)
CREATE TABLE tags (id NUMBER, msid NUMBER, kid NUMBER)
CREATE TABLE movie (mid NUMBER, title CLOB, release_year NUMBER, title_aka CLOB, budget CLOB)
CREATE TABLE tv_series (sid NUMBER, title CLOB, release_year NUMBER, num_of_seasons NUMBER, num_of_episodes NUMBER, title_aka CLOB, budget CLOB)
CREATE TABLE actor (aid NUMBER, gender CLOB, name CLOB, nationality CLOB, birth_city CLOB, birth_year NUMBER)
CREATE TABLE made_by (id NUMBER, msid NUMBER, pid NUMBER)
CREATE TABLE written_by (id NUMBER, msid NUMBER, wid NUMBER)
CREATE TABLE directed_by (id NUMBER, msid NUMBER, did NUMBER)
CREATE TABLE director (did NUMBER, gender CLOB, name CLOB, nationality CLOB, birth_city CLOB, birth_year NUMBER)
CREATE TABLE genre (gid NUMBER, genre CLOB)
CREATE TABLE writer (wid NUMBER, gender CLOB, name CLOB, nationality CLOB, birth_city CLOB, birth_year NUMBER)
CREATE TABLE copyright (id NUMBER, msid NUMBER, cid NUMBER)
CREATE TABLE cast (id NUMBER, msid NUMBER, aid NUMBER, role CLOB)
CREATE TABLE producer (pid NUMBER, gender CLOB, name CLOB, nationality CLOB, birth_city CLOB, birth_year NUMBER)
CREATE TABLE company (id NUMBER, name CLOB, country_code VARCHAR2)
CREATE TABLE keyword (id NUMBER, keyword CLOB)
| Which actors were born in Tehran | SELECT name FROM actor WHERE birth_city = 'Tehran' | SELECT "name" FROM "actor" WHERE "birth_city" = 'Tehran' | 0.054688 |
CREATE TABLE table_2795 ("Game" FLOAT, "Date" CLOB, "Team" CLOB, "Score" CLOB, "High points" CLOB, "High rebounds" CLOB, "High assists" CLOB, "Location Attendance" CLOB, "Record" CLOB)
| Name the least game for march 20 | SELECT MIN("Game") FROM table_2795 WHERE "Date" = 'March 20' | SELECT MIN("Game") FROM "table_2795" WHERE "Date" = 'March 20' | 0.060547 |
CREATE TABLE table_name_63 (country_name VARCHAR2, numeric_code VARCHAR2, latin_3_letter_code VARCHAR2)
| What is the country's name with a numeric code less than 246 and a Latin 3-letter code of slv? | SELECT country_name FROM table_name_63 WHERE numeric_code < 246 AND latin_3_letter_code = "slv" | SELECT "country_name" FROM "table_name_63" WHERE "latin_3_letter_code" = "slv" AND "numeric_code" < 246 | 0.100586 |
CREATE TABLE table_name_75 (winner VARCHAR2, stage VARCHAR2)
| what is the winner of stage 3 | SELECT winner FROM table_name_75 WHERE stage = 3 | SELECT "winner" FROM "table_name_75" WHERE "stage" = 3 | 0.052734 |
CREATE TABLE table_203_355 (id NUMBER, "year" NUMBER, "total" NUMBER, "romanians" CLOB, "hungarians" CLOB, "roma" CLOB)
| what year had the next highest percentage for roma after 2011 ? | SELECT "year" FROM table_203_355 WHERE "year" <> 2011 ORDER BY "roma" DESC LIMIT 1 | SELECT "year" FROM "table_203_355" WHERE "year" <> 2011 ORDER BY "roma" DESC FETCH FIRST 1 ROWS ONLY | 0.097656 |
CREATE TABLE table_name_51 (college VARCHAR2, pick VARCHAR2)
| What college had the pick of 85? | SELECT college FROM table_name_51 WHERE pick = 85 | SELECT "college" FROM "table_name_51" WHERE "pick" = 85 | 0.053711 |
CREATE TABLE table_78949 ("Place" CLOB, "Player" CLOB, "Country" CLOB, "Score" CLOB, "To par" CLOB)
| Which country placed t9 and had the player jiyai shin? | SELECT "Country" FROM table_78949 WHERE "Place" = 't9' AND "Player" = 'jiyai shin' | SELECT "Country" FROM "table_78949" WHERE "Place" = 't9' AND "Player" = 'jiyai shin' | 0.082031 |
CREATE TABLE PostTags (PostId NUMBER, TagId NUMBER)
CREATE TABLE Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
CREATE TABLE ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment CLOB)
CREATE TABLE PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
CREATE TABLE ReviewTaskResultTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostHistoryTypes (Id NUMBER, Name 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 CloseReasonTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId NUMBER)
CREATE TABLE 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 SuggestedEditVotes (Id NUMBER, SuggestedEditId NUMBER, UserId NUMBER, VoteTypeId NUMBER, CreationDate TIME, TargetUserId NUMBER, TargetRepChange NUMBER)
CREATE TABLE TagSynonyms (Id NUMBER, SourceTagName CLOB, TargetTagName CLOB, CreationDate TIME, OwnerUserId NUMBER, AutoRenameCount NUMBER, LastAutoRename TIME, Score NUMBER, ApprovedByUserId NUMBER, ApprovalDate TIME)
CREATE TABLE ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
CREATE TABLE Posts (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE Comments (Id NUMBER, PostId NUMBER, Score NUMBER, Text CLOB, CreationDate TIME, UserDisplayName CLOB, UserId NUMBER, ContentLicense CLOB)
CREATE TABLE CloseAsOffTopicReasonTypes (Id NUMBER, IsUniversal BOOLEAN, InputTitle CLOB, MarkdownInputGuidance CLOB, MarkdownPostOwnerGuidance CLOB, MarkdownPrivilegedUserGuidance CLOB, MarkdownConcensusDescription CLOB, CreationDate TIME, CreationModeratorId NUMBER, ApprovalDate TIME, ApprovalModeratorId NUMBER, DeactivationDate TIME, DeactivationModeratorId NUMBER)
CREATE TABLE ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId NUMBER)
CREATE TABLE PostTypes (Id NUMBER, Name CLOB)
CREATE TABLE VoteTypes (Id NUMBER, Name CLOB)
CREATE TABLE PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
CREATE TABLE FlagTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
CREATE TABLE Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount NUMBER)
CREATE TABLE PostHistory (Id NUMBER, PostHistoryTypeId NUMBER, PostId NUMBER, RevisionGUID other, CreationDate TIME, UserId NUMBER, UserDisplayName CLOB, Comment CLOB, Text CLOB, ContentLicense CLOB)
CREATE TABLE PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId NUMBER)
CREATE TABLE PendingFlags (Id NUMBER, FlagTypeId NUMBER, PostId NUMBER, CreationDate TIME, CloseReasonTypeId NUMBER, CloseAsOffTopicReasonTypeId NUMBER, DuplicateOfQuestionId NUMBER, BelongsOnBaseHostAddress CLOB)
CREATE TABLE ReviewTaskTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE ReviewTaskStates (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Users (Id NUMBER, Reputation NUMBER, CreationDate TIME, DisplayName CLOB, LastAccessDate TIME, WebsiteUrl CLOB, Location CLOB, AboutMe CLOB, Views NUMBER, UpVotes NUMBER, DownVotes NUMBER, ProfileImageUrl CLOB, EmailHash CLOB, AccountId NUMBER)
| Top SO users from Turkey. | SELECT ROW_NUMBER() OVER (ORDER BY Reputation DESC) AS "#", Id AS "user_id", (CASE WHEN DisplayName LIKE '%arbar%zha%' THEN '|_' + DisplayName + '_|' ELSE DisplayName END) AS DisplayName, Reputation, Location FROM Users WHERE (LOWER(Location) LIKE '%turke%' OR LOWER(Location) LIKE '%t rki%' OR LOWER(Location) LIKE '%turki%') ORDER BY Reputation DESC LIMIT 1500 | SELECT ROW_NUMBER() OVER (ORDER BY "Reputation" DESC) AS "#", "Id" AS "user_id", CASE WHEN "DisplayName" LIKE '%arbar%zha%' THEN '|_' + "DisplayName" + '_|' ELSE "DisplayName" END AS "DisplayName", "Reputation", "Location" FROM "Users" WHERE LOWER("Location") LIKE '%t rki%' OR LOWER("Location") LIKE '%turke%' OR LOWER("Location") LIKE '%turki%' ORDER BY "Reputation" DESC FETCH FIRST 1500 ROWS ONLY | 0.390625 |
CREATE TABLE table_15740666_6 (current_streak VARCHAR2, last_meeting VARCHAR2)
| if they played last on 12/5/1987 what is their record | SELECT current_streak FROM table_15740666_6 WHERE last_meeting = "12/5/1987" | SELECT "current_streak" FROM "table_15740666_6" WHERE "12/5/1987" = "last_meeting" | 0.080078 |
CREATE TABLE table_name_33 (tyres VARCHAR2, year VARCHAR2, engine VARCHAR2)
| What is the tyres with a year earlier than 1961 for a climax l4 engine? | SELECT tyres FROM table_name_33 WHERE year < 1961 AND engine = "climax l4" | SELECT "tyres" FROM "table_name_33" WHERE "climax l4" = "engine" AND "year" < 1961 | 0.080078 |
CREATE TABLE table_25055040_22 (mountains_classification VARCHAR2, most_courageous VARCHAR2)
| Who won the mountains classification when Maarten Tjallingii won most corageous? | SELECT mountains_classification FROM table_25055040_22 WHERE most_courageous = "Maarten Tjallingii" | SELECT "mountains_classification" FROM "table_25055040_22" WHERE "Maarten Tjallingii" = "most_courageous" | 0.102539 |
CREATE TABLE table_40333 ("Sport" CLOB, "Record" CLOB, "Nation \\u2013 athlete ( s ) " CLOB, "Date" CLOB, "Time ( seconds ) " FLOAT)
| What Date has a time of (seconds) 42.172? | SELECT "Date" FROM table_40333 WHERE "Time (seconds)" = '42.172' | SELECT "Date" FROM "table_40333" WHERE "Time (seconds)" = '42.172' | 0.064453 |
CREATE TABLE table_204_496 (id NUMBER, "pos" NUMBER, "no" NUMBER, "driver" CLOB, "team" CLOB, "laps" NUMBER, "time/retired" CLOB, "grid" NUMBER, "points" NUMBER)
| at the 2006 gran premio telmex , how many drivers completed less than 60 laps ? | SELECT COUNT("driver") FROM table_204_496 WHERE "laps" < 60 | SELECT COUNT("driver") FROM "table_204_496" WHERE "laps" < 60 | 0.05957 |
CREATE TABLE table_name_15 (result VARCHAR2, event VARCHAR2, method VARCHAR2)
| Which Result has the Event Strikeforce and the Method, Ko (spinning back fist)? | SELECT result FROM table_name_15 WHERE event = "strikeforce" AND method = "ko (spinning back fist)" | SELECT "result" FROM "table_name_15" WHERE "event" = "strikeforce" AND "ko (spinning back fist)" = "method" | 0.104492 |
CREATE TABLE table_225093_4 (vacator VARCHAR2, date_successor_seated VARCHAR2)
| How many vacators have October 22, 1808 as date successor seated? | SELECT COUNT(vacator) FROM table_225093_4 WHERE date_successor_seated = "October 22, 1808" | SELECT COUNT("vacator") FROM "table_225093_4" WHERE "October 22, 1808" = "date_successor_seated" | 0.09375 |
CREATE TABLE table_47407 ("Nat." CLOB, "Name" CLOB, "Moving to" CLOB, "Type" CLOB, "Transfer window" CLOB, "Transfer fee" CLOB)
| Which Name has a Type of loan, and a Moving to of apollon kalamaria? | SELECT "Name" FROM table_47407 WHERE "Type" = 'loan' AND "Moving to" = 'apollon kalamaria' | SELECT "Name" FROM "table_47407" WHERE "Moving to" = 'apollon kalamaria' AND "Type" = 'loan' | 0.089844 |
CREATE TABLE table_train_154 ("id" NUMBER, "systolic_blood_pressure_sbp" NUMBER, "fpg" FLOAT, "hemoglobin_a1c_hba1c" FLOAT, "creatinine_clearance_cl" FLOAT, "diastolic_blood_pressure_dbp" NUMBER, "NOUSE" FLOAT)
| fpg > 125 mg / dl or < 105 mg / dl at screening blood draw | SELECT * FROM table_train_154 WHERE fpg > 125 OR fpg < 105 | SELECT * FROM "table_train_154" WHERE "fpg" < 105 OR "fpg" > 125 | 0.0625 |
CREATE TABLE climber (Climber_ID NUMBER, Name CLOB, Country CLOB, Time CLOB, Points FLOAT, Mountain_ID NUMBER)
CREATE TABLE mountain (Mountain_ID NUMBER, Name CLOB, Height FLOAT, Prominence FLOAT, Range CLOB, Country CLOB)
| Return the countries of the mountains that have a height larger than 5000, and count them by a bar chart | SELECT Country, COUNT(Country) FROM mountain WHERE Height > 5000 GROUP BY Country | SELECT "Country", COUNT("Country") FROM "mountain" WHERE "Height" > 5000 GROUP BY "Country" | 0.088867 |
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE 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)
| How many patients with elective hospital admissions had the rbc pleural lab test? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.admission_type = "ELECTIVE" AND lab.label = "RBC, Pleural" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "lab" ON "RBC, Pleural" = "lab"."label" AND "demographic"."hadm_id" = "lab"."hadm_id" WHERE "ELECTIVE" = "demographic"."admission_type" | 0.204102 |
CREATE TABLE lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime TIME)
CREATE TABLE vitalperiodic (vitalperiodicid NUMBER, patientunitstayid NUMBER, temperature NUMBER, sao2 NUMBER, heartrate NUMBER, respiration NUMBER, systemicsystolic NUMBER, systemicdiastolic NUMBER, systemicmean NUMBER, observationtime TIME)
CREATE TABLE diagnosis (diagnosisid NUMBER, patientunitstayid NUMBER, diagnosisname CLOB, diagnosistime TIME, icd9code CLOB)
CREATE TABLE medication (medicationid NUMBER, patientunitstayid NUMBER, drugname CLOB, dosage CLOB, routeadmin CLOB, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE patient (uniquepid CLOB, patienthealthsystemstayid NUMBER, patientunitstayid NUMBER, gender CLOB, age CLOB, ethnicity CLOB, hospitalid NUMBER, wardid NUMBER, admissionheight NUMBER, admissionweight NUMBER, dischargeweight NUMBER, hospitaladmittime TIME, hospitaladmitsource CLOB, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus CLOB)
CREATE TABLE microlab (microlabid NUMBER, patientunitstayid NUMBER, culturesite CLOB, organism CLOB, culturetakentime TIME)
CREATE TABLE 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 allergy (allergyid NUMBER, patientunitstayid NUMBER, drugname CLOB, allergyname CLOB, allergytime TIME)
CREATE TABLE treatment (treatmentid NUMBER, patientunitstayid NUMBER, treatmentname CLOB, treatmenttime TIME)
| when has patient 029-8147 visited the hospital for the first time until 4 years ago? | SELECT patient.hospitaladmittime FROM patient WHERE patient.uniquepid = '029-8147' AND DATETIME(patient.hospitaladmittime) <= DATETIME(CURRENT_TIME(), '-4 year') ORDER BY patient.hospitaladmittime LIMIT 1 | SELECT "patient"."hospitaladmittime" FROM "patient" WHERE "patient"."uniquepid" = '029-8147' AND DATETIME("patient"."hospitaladmittime") <= DATETIME(CURRENT_TIME(), '-4 year') ORDER BY "patient"."hospitaladmittime" FETCH FIRST 1 ROWS ONLY | 0.232422 |
CREATE TABLE table_43124 ("Livery" CLOB, "Locomotive type" CLOB, "Wheel Arrangement" CLOB, "Builder" CLOB, "Year built" FLOAT)
| What livery belongs to the steam Locomotive type builder that was building before 1989? | SELECT "Livery" FROM table_43124 WHERE "Year built" < '1989' AND "Locomotive type" = 'steam' | SELECT "Livery" FROM "table_43124" WHERE "Locomotive type" = 'steam' AND "Year built" < '1989' | 0.091797 |
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 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 PostTypes (Id NUMBER, Name CLOB)
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 PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId NUMBER)
CREATE TABLE ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
CREATE TABLE Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount NUMBER)
CREATE TABLE PostTags (PostId NUMBER, TagId NUMBER)
CREATE TABLE PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
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 CloseReasonTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId NUMBER)
CREATE TABLE VoteTypes (Id NUMBER, Name CLOB)
CREATE TABLE PostHistoryTypes (Id NUMBER, Name CLOB)
CREATE TABLE CloseAsOffTopicReasonTypes (Id NUMBER, IsUniversal BOOLEAN, InputTitle CLOB, MarkdownInputGuidance CLOB, MarkdownPostOwnerGuidance CLOB, MarkdownPrivilegedUserGuidance CLOB, MarkdownConcensusDescription CLOB, CreationDate TIME, CreationModeratorId NUMBER, ApprovalDate TIME, ApprovalModeratorId NUMBER, DeactivationDate TIME, DeactivationModeratorId NUMBER)
CREATE TABLE Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
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 PendingFlags (Id NUMBER, FlagTypeId NUMBER, PostId NUMBER, CreationDate TIME, CloseReasonTypeId NUMBER, CloseAsOffTopicReasonTypeId NUMBER, DuplicateOfQuestionId NUMBER, BelongsOnBaseHostAddress CLOB)
CREATE TABLE FlagTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE ReviewTaskStates (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId NUMBER)
CREATE TABLE PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
CREATE TABLE TagSynonyms (Id NUMBER, SourceTagName CLOB, TargetTagName CLOB, CreationDate TIME, OwnerUserId NUMBER, AutoRenameCount NUMBER, LastAutoRename TIME, Score NUMBER, ApprovedByUserId NUMBER, ApprovalDate TIME)
CREATE TABLE Users (Id NUMBER, Reputation NUMBER, CreationDate TIME, DisplayName CLOB, LastAccessDate TIME, WebsiteUrl CLOB, Location CLOB, AboutMe CLOB, Views NUMBER, UpVotes NUMBER, DownVotes NUMBER, ProfileImageUrl CLOB, EmailHash CLOB, AccountId NUMBER)
CREATE TABLE Comments (Id NUMBER, PostId NUMBER, Score NUMBER, Text CLOB, CreationDate TIME, UserDisplayName CLOB, UserId NUMBER, ContentLicense CLOB)
CREATE TABLE ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment CLOB)
| Average questions per 1000 that are unanswered. | SELECT 1000 * (SELECT COUNT(*) FROM Posts WHERE PostTypeId = 1 AND AnswerCount = 0) / (SELECT COUNT(*) FROM Posts WHERE PostTypeId = 1) | WITH "_u_0" AS (SELECT COUNT(*), 1 AS "_u_1", 0 AS "_u_2" FROM "Posts" GROUP BY 1, 0), "_u_3" AS (SELECT COUNT(*), 1 AS "_u_4" FROM "Posts" GROUP BY 1) SELECT 1000 * COALESCE("_u_0"."", *) / NULLIF(COALESCE("_u_3"."", *), 0) LEFT JOIN "_u_0" "_u_0" ON "AnswerCount" = "_u_0"."_u_2" AND "PostTypeId" = "_u_0"."_u_1" LEFT JOIN "_u_3" "_u_3" ON "PostTypeId" = "_u_3"."_u_4" | 0.361328 |
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 locations (LOCATION_ID NUMBER, STREET_ADDRESS VARCHAR2, POSTAL_CODE VARCHAR2, CITY VARCHAR2, STATE_PROVINCE VARCHAR2, COUNTRY_ID VARCHAR2)
CREATE TABLE regions (REGION_ID NUMBER, REGION_NAME VARCHAR2)
CREATE TABLE 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)
CREATE TABLE countries (COUNTRY_ID VARCHAR2, COUNTRY_NAME VARCHAR2, REGION_ID NUMBER)
| For those employees who do not work in departments with managers that have ids between 100 and 200, return a scatter chart about the correlation between employee_id and department_id . | SELECT EMPLOYEE_ID, DEPARTMENT_ID FROM employees WHERE NOT DEPARTMENT_ID IN (SELECT DEPARTMENT_ID FROM departments WHERE MANAGER_ID BETWEEN 100 AND 200) | SELECT "EMPLOYEE_ID", "DEPARTMENT_ID" FROM "employees" WHERE NOT "DEPARTMENT_ID" IN (SELECT "DEPARTMENT_ID" FROM "departments" WHERE "MANAGER_ID" <= 200 AND "MANAGER_ID" >= 100) | 0.172852 |
CREATE TABLE d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
CREATE TABLE 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 diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
CREATE TABLE d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
CREATE TABLE transfers (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, eventtype CLOB, careunit CLOB, wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE icustays (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, first_careunit CLOB, last_careunit CLOB, first_wardid NUMBER, last_wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE 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 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)
| what is the maximum cost of a hospital that involves a drug named acetaminophen w/codeine until 2 years ago? | SELECT MAX(t1.c1) FROM (SELECT SUM(cost.cost) AS c1 FROM cost WHERE cost.hadm_id IN (SELECT prescriptions.hadm_id FROM prescriptions WHERE prescriptions.drug = 'acetaminophen w/codeine') AND DATETIME(cost.chargetime) <= DATETIME(CURRENT_TIME(), '-2 year') GROUP BY cost.hadm_id) AS t1 | WITH "_u_0" AS (SELECT "prescriptions"."hadm_id" FROM "prescriptions" WHERE "prescriptions"."drug" = 'acetaminophen w/codeine' GROUP BY "hadm_id"), "t1" AS (SELECT SUM("cost"."cost") AS "c1" FROM "cost" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "cost"."hadm_id" WHERE DATETIME("cost"."chargetime") <= DATETIME(CURRENT_TIME(), '-2 year') AND NOT "_u_0"."" IS NULL GROUP BY "cost"."hadm_id") SELECT MAX("t1"."c1") FROM "t1" "t1" | 0.413086 |
CREATE TABLE Statements (Statement_ID NUMBER, Statement_Details VARCHAR2)
CREATE TABLE Ref_Budget_Codes (Budget_Type_Code CHAR, Budget_Type_Description VARCHAR2)
CREATE TABLE Documents_with_Expenses (Document_ID NUMBER, Budget_Type_Code CHAR, Document_Details VARCHAR2)
CREATE TABLE Documents (Document_ID NUMBER, Document_Type_Code CHAR, Project_ID NUMBER, Document_Date DATETIME, Document_Name VARCHAR2, Document_Description VARCHAR2, Other_Details VARCHAR2)
CREATE TABLE Accounts (Account_ID NUMBER, Statement_ID NUMBER, Account_Details VARCHAR2)
CREATE TABLE Ref_Document_Types (Document_Type_Code CHAR, Document_Type_Name VARCHAR2, Document_Type_Description VARCHAR2)
CREATE TABLE Projects (Project_ID NUMBER, Project_Details VARCHAR2)
| How many document type for different document type description? Visualize with a bar chart. | SELECT Document_Type_Description, COUNT(Document_Type_Description) FROM Ref_Document_Types GROUP BY Document_Type_Description | SELECT "Document_Type_Description", COUNT("Document_Type_Description") FROM "Ref_Document_Types" GROUP BY "Document_Type_Description" | 0.129883 |
CREATE TABLE county (County_Id NUMBER, County_name CLOB, Population FLOAT, Zip_code CLOB)
CREATE TABLE election (Election_ID NUMBER, Counties_Represented CLOB, District NUMBER, Delegate CLOB, Party NUMBER, First_Elected FLOAT, Committee CLOB)
CREATE TABLE party (Party_ID NUMBER, Year FLOAT, Party CLOB, Governor CLOB, Lieutenant_Governor CLOB, Comptroller CLOB, Attorney_General CLOB, US_Senate CLOB)
| For each party, return the name of the party and the number of delegates from that party Plot them as bar chart, sort in asc by the Y-axis. | SELECT T2.Party, AVG(COUNT(*)) FROM election AS T1 JOIN party AS T2 ON T1.Party = T2.Party_ID GROUP BY T2.Party ORDER BY AVG(COUNT(*)) | SELECT "T2"."Party", AVG(COUNT(*)) FROM "election" "T1" JOIN "party" "T2" ON "T1"."Party" = "T2"."Party_ID" GROUP BY "T2"."Party" ORDER BY AVG(COUNT(*)) | 0.148438 |
CREATE TABLE Settlements (Settlement_ID NUMBER, Claim_ID NUMBER, Date_Claim_Made DATE, Date_Claim_Settled DATE, Amount_Claimed NUMBER, Amount_Settled NUMBER, Customer_Policy_ID NUMBER)
CREATE TABLE Customers (Customer_ID NUMBER, Customer_Details VARCHAR2)
CREATE TABLE Customer_Policies (Policy_ID NUMBER, Customer_ID NUMBER, Policy_Type_Code CHAR, Start_Date DATE, End_Date DATE)
CREATE TABLE Payments (Payment_ID NUMBER, Settlement_ID NUMBER, Payment_Method_Code VARCHAR2, Date_Payment_Made DATE, Amount_Payment NUMBER)
CREATE TABLE Claims (Claim_ID NUMBER, Policy_ID NUMBER, Date_Claim_Made DATE, Date_Claim_Settled DATE, Amount_Claimed NUMBER, Amount_Settled NUMBER)
| Bar graph to show the average of amount payment from different payment method code, and could you rank in ascending by the the average of amount payment please? | SELECT Payment_Method_Code, AVG(Amount_Payment) FROM Payments GROUP BY Payment_Method_Code ORDER BY AVG(Amount_Payment) | SELECT "Payment_Method_Code", AVG("Amount_Payment") FROM "Payments" GROUP BY "Payment_Method_Code" ORDER BY AVG("Amount_Payment") | 0.125977 |
CREATE TABLE table_2654 ("Outcome" CLOB, "Year" FLOAT, "Championship" CLOB, "Surface" CLOB, "Partner" CLOB, "Opponents in the final" CLOB, "Score in the final" CLOB)
| What is the final score if the partner is Woodforde? | SELECT "Score in the final" FROM table_2654 WHERE "Partner" = 'Woodforde' | SELECT "Score in the final" FROM "table_2654" WHERE "Partner" = 'Woodforde' | 0.073242 |
CREATE TABLE table_77840 ("Round" FLOAT, "Player" CLOB, "Position" CLOB, "Nationality" CLOB, "College/Junior/Club Team ( League ) " CLOB)
| What college or league did the round 2 pick with d position come from? | SELECT "College/Junior/Club Team (League)" FROM table_77840 WHERE "Round" = '2' AND "Position" = 'd' | SELECT "College/Junior/Club Team (League)" FROM "table_77840" WHERE "Position" = 'd' AND "Round" = '2' | 0.099609 |
CREATE TABLE program_course (program_id NUMBER, course_id NUMBER, workload NUMBER, category VARCHAR2)
CREATE TABLE offering_instructor (offering_instructor_id NUMBER, offering_id NUMBER, instructor_id NUMBER)
CREATE TABLE program_requirement (program_id NUMBER, category VARCHAR2, min_credit NUMBER, additional_req VARCHAR2)
CREATE TABLE requirement (requirement_id NUMBER, requirement VARCHAR2, college 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_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 gsi (course_offering_id NUMBER, student_id NUMBER)
CREATE TABLE semester (semester_id NUMBER, semester VARCHAR2, year 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 program (program_id NUMBER, name VARCHAR2, college VARCHAR2, introduction VARCHAR2)
CREATE TABLE course_prerequisite (pre_course_id NUMBER, course_id NUMBER)
CREATE TABLE area (course_id NUMBER, area VARCHAR2)
CREATE TABLE student_record (student_id NUMBER, course_id NUMBER, semester NUMBER, grade VARCHAR2, how VARCHAR2, transfer_source VARCHAR2, earn_credit VARCHAR2, repeat_term VARCHAR2, test_id VARCHAR2)
CREATE TABLE course_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 comment_instructor (instructor_id NUMBER, student_id NUMBER, score NUMBER, comment_text VARCHAR2)
CREATE TABLE ta (campus_job_id NUMBER, student_id NUMBER, location VARCHAR2)
CREATE TABLE instructor (instructor_id NUMBER, name VARCHAR2, uniqname VARCHAR2)
CREATE TABLE 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)
| Next semester will Prof. John Vandermeer teach 569 ? | SELECT COUNT(*) > 0 FROM course, course_offering, instructor, offering_instructor, semester WHERE course.course_id = course_offering.course_id AND course.department = 'EECS' AND course.number = 569 AND instructor.name LIKE '%John Vandermeer%' AND offering_instructor.instructor_id = instructor.instructor_id AND offering_instructor.offering_id = course_offering.offering_id AND semester.semester = 'FA' AND semester.semester_id = course_offering.semester AND semester.year = 2016 | SELECT COUNT(*) > 0 FROM "course" JOIN "course_offering" ON "course"."course_id" = "course_offering"."course_id" JOIN "offering_instructor" ON "course_offering"."offering_id" = "offering_instructor"."offering_id" JOIN "semester" ON "course_offering"."semester" = "semester"."semester_id" AND "semester"."semester" = 'FA' AND "semester"."year" = 2016 JOIN "instructor" ON "instructor"."instructor_id" = "offering_instructor"."instructor_id" AND "instructor"."name" LIKE '%John Vandermeer%' WHERE "course"."department" = 'EECS' AND "course"."number" = 569 | 0.540039 |
CREATE TABLE PlaylistTrack (PlaylistId NUMBER, TrackId NUMBER)
CREATE TABLE Customer (CustomerId NUMBER, FirstName VARCHAR2, LastName VARCHAR2, Company VARCHAR2, Address VARCHAR2, City VARCHAR2, State VARCHAR2, Country VARCHAR2, PostalCode VARCHAR2, Phone VARCHAR2, Fax VARCHAR2, Email VARCHAR2, SupportRepId NUMBER)
CREATE TABLE InvoiceLine (InvoiceLineId NUMBER, InvoiceId NUMBER, TrackId NUMBER, UnitPrice NUMBER, Quantity NUMBER)
CREATE TABLE Genre (GenreId NUMBER, Name VARCHAR2)
CREATE TABLE Playlist (PlaylistId NUMBER, Name VARCHAR2)
CREATE TABLE Invoice (InvoiceId NUMBER, CustomerId NUMBER, InvoiceDate DATETIME, BillingAddress VARCHAR2, BillingCity VARCHAR2, BillingState VARCHAR2, BillingCountry VARCHAR2, BillingPostalCode VARCHAR2, Total NUMBER)
CREATE TABLE MediaType (MediaTypeId NUMBER, Name VARCHAR2)
CREATE TABLE Employee (EmployeeId NUMBER, LastName VARCHAR2, FirstName VARCHAR2, Title VARCHAR2, ReportsTo NUMBER, BirthDate DATETIME, HireDate DATETIME, Address VARCHAR2, City VARCHAR2, State VARCHAR2, Country VARCHAR2, PostalCode VARCHAR2, Phone VARCHAR2, Fax VARCHAR2, Email VARCHAR2)
CREATE TABLE Artist (ArtistId NUMBER, Name VARCHAR2)
CREATE TABLE Album (AlbumId NUMBER, Title VARCHAR2, ArtistId NUMBER)
CREATE TABLE Track (TrackId NUMBER, Name VARCHAR2, AlbumId NUMBER, MediaTypeId NUMBER, GenreId NUMBER, Composer VARCHAR2, Milliseconds NUMBER, Bytes NUMBER, UnitPrice NUMBER)
| What are the number of the phone numbers for each employee?, and sort by the x axis in asc please. | SELECT Phone, COUNT(Phone) FROM Employee GROUP BY Phone ORDER BY Phone | SELECT "Phone", COUNT("Phone") FROM "Employee" GROUP BY "Phone" ORDER BY "Phone" | 0.078125 |
CREATE TABLE domain_keyword (did NUMBER, kid NUMBER)
CREATE TABLE conference (cid NUMBER, homepage VARCHAR2, name VARCHAR2)
CREATE TABLE domain (did NUMBER, name VARCHAR2)
CREATE TABLE keyword (keyword VARCHAR2, kid NUMBER)
CREATE TABLE publication (abstract VARCHAR2, cid NUMBER, citation_num NUMBER, jid NUMBER, pid NUMBER, reference_num NUMBER, title VARCHAR2, year NUMBER)
CREATE TABLE cite (cited NUMBER, citing NUMBER)
CREATE TABLE author (aid NUMBER, homepage VARCHAR2, name VARCHAR2, oid NUMBER)
CREATE TABLE domain_publication (did NUMBER, pid NUMBER)
CREATE TABLE publication_keyword (kid NUMBER, pid NUMBER)
CREATE TABLE journal (homepage VARCHAR2, jid NUMBER, name VARCHAR2)
CREATE TABLE organization (continent VARCHAR2, homepage VARCHAR2, name VARCHAR2, oid NUMBER)
CREATE TABLE domain_conference (cid NUMBER, did NUMBER)
CREATE TABLE domain_author (aid NUMBER, did NUMBER)
CREATE TABLE writes (aid NUMBER, pid NUMBER)
CREATE TABLE domain_journal (did NUMBER, jid NUMBER)
| return me the number of journals which have papers by ' H. V. Jagadish ' . | SELECT COUNT(DISTINCT (journal.name)) FROM author, journal, publication, writes WHERE author.name = 'H. V. Jagadish' AND publication.jid = journal.jid AND writes.aid = author.aid AND writes.pid = publication.pid | SELECT COUNT(DISTINCT "journal"."name") FROM "author" CROSS JOIN "journal" JOIN "publication" ON "journal"."jid" = "publication"."jid" JOIN "writes" ON "author"."aid" = "writes"."aid" AND "publication"."pid" = "writes"."pid" WHERE "author"."name" = 'H. V. Jagadish' | 0.258789 |
CREATE TABLE table_name_90 (to_par NUMBER, year_s__won VARCHAR2, total VARCHAR2)
| Which To par is the lowest one that has a Year(s) won of 1962, 1967, 1972, 1980, and a Total larger than 149? | SELECT MIN(to_par) FROM table_name_90 WHERE year_s__won = "1962, 1967, 1972, 1980" AND total > 149 | SELECT MIN("to_par") FROM "table_name_90" WHERE "1962, 1967, 1972, 1980" = "year_s__won" AND "total" > 149 | 0.103516 |
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
| what is the number of patients whose admission location is transfer from hosp/extram and lab test name is magnesium? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.admission_location = "TRANSFER FROM HOSP/EXTRAM" AND lab.label = "Magnesium" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "lab" ON "Magnesium" = "lab"."label" AND "demographic"."hadm_id" = "lab"."hadm_id" WHERE "TRANSFER FROM HOSP/EXTRAM" = "demographic"."admission_location" | 0.22168 |
CREATE TABLE table_name_80 (league_goals NUMBER, total_goals VARCHAR2, league_cup_goals VARCHAR2)
| What was the sum of league goals where the toal was 8 and league cup goals were larger than 0? | SELECT SUM(league_goals) FROM table_name_80 WHERE total_goals = 8 AND league_cup_goals > 0 | SELECT SUM("league_goals") FROM "table_name_80" WHERE "league_cup_goals" > 0 AND "total_goals" = 8 | 0.095703 |
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 prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
| provide the number of patients whose language is russ and discharge location is disch-tran to psych hosp? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.language = "RUSS" AND demographic.discharge_location = "DISCH-TRAN TO PSYCH HOSP" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "DISCH-TRAN TO PSYCH HOSP" = "demographic"."discharge_location" AND "RUSS" = "demographic"."language" | 0.171875 |
CREATE TABLE table_name_56 (date VARCHAR2, attendance VARCHAR2)
| What day had 37,500 attending? | SELECT date FROM table_name_56 WHERE attendance = "37,500" | SELECT "date" FROM "table_name_56" WHERE "37,500" = "attendance" | 0.0625 |
CREATE TABLE table_262560_1 (type VARCHAR2, joined VARCHAR2)
| Name the type that joined 2007 | SELECT type FROM table_262560_1 WHERE joined = 2007 | SELECT "type" FROM "table_262560_1" WHERE "joined" = 2007 | 0.055664 |
CREATE TABLE table_23566 ("English Name" CLOB, "Simplified" CLOB, "Traditional" CLOB, "Pinyin" CLOB, "Foochow" CLOB, "Area" FLOAT, "Population" FLOAT, "Density" FLOAT)
| Name the traditional for | SELECT "Traditional" FROM table_23566 WHERE "Simplified" = '屏南县' | SELECT "Traditional" FROM "table_23566" WHERE "Simplified" = '屏南县' | 0.064453 |
CREATE TABLE table_1498589_1 (archive VARCHAR2, run_time VARCHAR2)
| How many episodes in history have a running time of 24:06? | SELECT COUNT(archive) FROM table_1498589_1 WHERE run_time = "24:06" | SELECT COUNT("archive") FROM "table_1498589_1" WHERE "24:06" = "run_time" | 0.071289 |
CREATE TABLE patient (uniquepid CLOB, patienthealthsystemstayid NUMBER, patientunitstayid NUMBER, gender CLOB, age CLOB, ethnicity CLOB, hospitalid NUMBER, wardid NUMBER, admissionheight NUMBER, admissionweight NUMBER, dischargeweight NUMBER, hospitaladmittime TIME, hospitaladmitsource CLOB, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus CLOB)
CREATE TABLE diagnosis (diagnosisid NUMBER, patientunitstayid NUMBER, diagnosisname CLOB, diagnosistime TIME, icd9code CLOB)
CREATE TABLE cost (costid NUMBER, uniquepid CLOB, patienthealthsystemstayid NUMBER, eventtype CLOB, eventid NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE intakeoutput (intakeoutputid NUMBER, patientunitstayid NUMBER, cellpath CLOB, celllabel CLOB, cellvaluenumeric NUMBER, intakeoutputtime TIME)
CREATE TABLE vitalperiodic (vitalperiodicid NUMBER, patientunitstayid NUMBER, temperature NUMBER, sao2 NUMBER, heartrate NUMBER, respiration NUMBER, systemicsystolic NUMBER, systemicdiastolic NUMBER, systemicmean NUMBER, observationtime TIME)
CREATE TABLE treatment (treatmentid NUMBER, patientunitstayid NUMBER, treatmentname CLOB, treatmenttime TIME)
CREATE TABLE allergy (allergyid NUMBER, patientunitstayid NUMBER, drugname CLOB, allergyname CLOB, allergytime TIME)
CREATE TABLE microlab (microlabid NUMBER, patientunitstayid NUMBER, culturesite CLOB, organism CLOB, culturetakentime TIME)
CREATE TABLE lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime TIME)
CREATE TABLE medication (medicationid NUMBER, patientunitstayid NUMBER, drugname CLOB, dosage CLOB, routeadmin CLOB, drugstarttime TIME, drugstoptime TIME)
| since 113 days ago, list the monthly average sao2 of patient 031-11804. | SELECT AVG(vitalperiodic.sao2) FROM vitalperiodic WHERE vitalperiodic.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '031-11804')) AND NOT vitalperiodic.sao2 IS NULL AND DATETIME(vitalperiodic.observationtime) >= DATETIME(CURRENT_TIME(), '-113 day') GROUP BY STRFTIME('%y-%m', vitalperiodic.observationtime) | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '031-11804' 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 AVG("vitalperiodic"."sao2") FROM "vitalperiodic" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "vitalperiodic"."patientunitstayid" WHERE DATETIME("vitalperiodic"."observationtime") >= DATETIME(CURRENT_TIME(), '-113 day') AND NOT "_u_1"."" IS NULL AND NOT "vitalperiodic"."sao2" IS NULL GROUP BY STRFTIME('%y-%m', "vitalperiodic"."observationtime") | 0.685547 |
CREATE TABLE address (address_id NUMBER, address CLOB, address2 CLOB, district CLOB, city_id NUMBER, postal_code CLOB, phone CLOB, last_update TIME)
CREATE TABLE customer (customer_id NUMBER, store_id NUMBER, first_name CLOB, last_name CLOB, email CLOB, address_id NUMBER, active BOOLEAN, create_date TIME, last_update TIME)
CREATE TABLE rental (rental_id NUMBER, rental_date TIME, inventory_id NUMBER, customer_id NUMBER, return_date TIME, staff_id NUMBER, last_update TIME)
CREATE TABLE category (category_id NUMBER, name CLOB, last_update TIME)
CREATE TABLE country (country_id NUMBER, country CLOB, last_update TIME)
CREATE TABLE film_text (film_id NUMBER, title CLOB, description CLOB)
CREATE TABLE film_actor (actor_id NUMBER, film_id NUMBER, last_update TIME)
CREATE TABLE actor (actor_id NUMBER, first_name CLOB, last_name CLOB, last_update TIME)
CREATE TABLE staff (staff_id NUMBER, first_name CLOB, last_name CLOB, address_id NUMBER, picture others, email CLOB, store_id NUMBER, active BOOLEAN, username CLOB, password CLOB, last_update TIME)
CREATE TABLE inventory (inventory_id NUMBER, film_id NUMBER, store_id NUMBER, last_update TIME)
CREATE TABLE film_category (film_id NUMBER, category_id NUMBER, last_update TIME)
CREATE TABLE store (store_id NUMBER, manager_staff_id NUMBER, address_id NUMBER, last_update TIME)
CREATE TABLE city (city_id NUMBER, city CLOB, country_id NUMBER, last_update TIME)
CREATE TABLE payment (payment_id NUMBER, customer_id NUMBER, staff_id NUMBER, rental_id NUMBER, amount NUMBER, payment_date TIME, last_update TIME)
CREATE TABLE film (film_id NUMBER, title CLOB, description CLOB, release_year TIME, language_id NUMBER, original_language_id NUMBER, rental_duration NUMBER, rental_rate NUMBER, length NUMBER, replacement_cost NUMBER, rating CLOB, special_features CLOB, last_update TIME)
CREATE TABLE language (language_id NUMBER, name CLOB, last_update TIME)
| Which film actor (actress) starred the most films? List his or her first name, last name and actor id. | SELECT T2.first_name, T2.last_name, T2.actor_id FROM film_actor AS T1 JOIN actor AS T2 ON T1.actor_id = T2.actor_id GROUP BY T2.actor_id ORDER BY COUNT(*) DESC LIMIT 1 | SELECT "T2"."first_name", "T2"."last_name", "T2"."actor_id" FROM "film_actor" "T1" JOIN "actor" "T2" ON "T1"."actor_id" = "T2"."actor_id" GROUP BY "T2"."actor_id" ORDER BY COUNT(*) DESC FETCH FIRST 1 ROWS ONLY | 0.204102 |
CREATE TABLE Orders (order_id NUMBER, customer_id NUMBER, date_order_placed DATETIME, order_details VARCHAR2)
CREATE TABLE Financial_Transactions (transaction_id NUMBER, account_id NUMBER, invoice_number NUMBER, transaction_type VARCHAR2, transaction_date DATETIME, transaction_amount NUMBER, transaction_comment VARCHAR2, other_transaction_details VARCHAR2)
CREATE TABLE Invoices (invoice_number NUMBER, order_id NUMBER, invoice_date DATETIME)
CREATE TABLE Customers (customer_id NUMBER, customer_first_name VARCHAR2, customer_middle_initial VARCHAR2, customer_last_name VARCHAR2, gender VARCHAR2, email_address VARCHAR2, login_name VARCHAR2, login_password VARCHAR2, phone_number VARCHAR2, town_city VARCHAR2, state_county_province VARCHAR2, country VARCHAR2)
CREATE TABLE Product_Categories (production_type_code VARCHAR2, product_type_description VARCHAR2, vat_rating NUMBER)
CREATE TABLE Order_Items (order_item_id NUMBER, order_id NUMBER, product_id NUMBER, product_quantity VARCHAR2, other_order_item_details VARCHAR2)
CREATE TABLE Invoice_Line_Items (order_item_id NUMBER, invoice_number NUMBER, product_id NUMBER, product_title VARCHAR2, product_quantity VARCHAR2, product_price NUMBER, derived_product_cost NUMBER, derived_vat_payable NUMBER, derived_total_cost NUMBER)
CREATE TABLE Products (product_id NUMBER, parent_product_id NUMBER, production_type_code VARCHAR2, unit_price NUMBER, product_name VARCHAR2, product_color VARCHAR2, product_size VARCHAR2)
CREATE TABLE Accounts (account_id NUMBER, customer_id NUMBER, date_account_opened DATETIME, account_name VARCHAR2, other_account_details VARCHAR2)
| How many accounts are opened in each year? Show a line chart, order in desc by the X. | SELECT date_account_opened, COUNT(date_account_opened) FROM Accounts ORDER BY date_account_opened DESC | SELECT "date_account_opened", COUNT("date_account_opened") FROM "Accounts" ORDER BY "date_account_opened" DESC | 0.107422 |
CREATE TABLE table_44713 ("Name" CLOB, "Team" CLOB, "Qual 1" CLOB, "Qual 2" CLOB, "Best" CLOB)
| What is the name of the racer with a first-qualifying time of 58.991? | SELECT "Name" FROM table_44713 WHERE "Qual 1" = '58.991' | SELECT "Name" FROM "table_44713" WHERE "Qual 1" = '58.991' | 0.056641 |
CREATE TABLE table_60916 ("Year" CLOB, "Venue" CLOB, "Winner" CLOB, "Runner-up" CLOB, "Score" CLOB)
| What winner has royal st george's golf club as the venue, and 1969 as the year? | SELECT "Winner" FROM table_60916 WHERE "Venue" = 'royal st george''s golf club' AND "Year" = '1969' | SELECT "Winner" FROM "table_60916" WHERE "Venue" = 'royal st george''s golf club' AND "Year" = '1969' | 0.098633 |
CREATE TABLE table_204_683 (id NUMBER, "no." NUMBER, "constituency" CLOB, "winner candidate" CLOB, "party" CLOB, "votes" NUMBER, "margin" NUMBER)
| how many votes were there for the constituency of danta ? | SELECT "votes" FROM table_204_683 WHERE "constituency" = 'danta' | SELECT "votes" FROM "table_204_683" WHERE "constituency" = 'danta' | 0.064453 |
CREATE TABLE table_2985664_8 (strike_rate VARCHAR2, catches_stumpings VARCHAR2)
| What is every strike rate when cathces/stumpings is 13/1? | SELECT strike_rate FROM table_2985664_8 WHERE catches_stumpings = "13/1" | SELECT "strike_rate" FROM "table_2985664_8" WHERE "13/1" = "catches_stumpings" | 0.076172 |
CREATE TABLE table_72952 ("District" CLOB, "Incumbent" CLOB, "Party" CLOB, "First elected" FLOAT, "Results" CLOB, "Candidates" CLOB)
| Which party was elected first in 1998? | SELECT "Party" FROM table_72952 WHERE "First elected" = '1998' | SELECT "Party" FROM "table_72952" WHERE "First elected" = '1998' | 0.0625 |
CREATE TABLE table_name_42 (label VARCHAR2, catalog VARCHAR2)
| What is the Label of the UICI-1069 Catalog? | SELECT label FROM table_name_42 WHERE catalog = "uici-1069" | SELECT "label" FROM "table_name_42" WHERE "catalog" = "uici-1069" | 0.063477 |
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_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 transfers (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, eventtype CLOB, careunit CLOB, wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
CREATE TABLE patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
CREATE TABLE prescriptions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, startdate TIME, enddate TIME, drug CLOB, dose_val_rx CLOB, dose_unit_rx CLOB, route CLOB)
CREATE TABLE labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
CREATE TABLE admissions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, admittime TIME, dischtime TIME, admission_type CLOB, admission_location CLOB, discharge_location CLOB, insurance CLOB, language CLOB, marital_status CLOB, ethnicity CLOB, age NUMBER)
CREATE TABLE icustays (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, first_careunit CLOB, last_careunit CLOB, first_wardid NUMBER, last_wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
CREATE TABLE d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
| what was the highest three diagnosis, which had the highest three year mortality rate? | SELECT d_icd_diagnoses.short_title FROM d_icd_diagnoses WHERE d_icd_diagnoses.icd9_code IN (SELECT t4.icd9_code FROM (SELECT t3.icd9_code, DENSE_RANK() OVER (ORDER BY t3.c1 DESC) AS c2 FROM (SELECT t2.icd9_code, 100 - SUM(CASE WHEN patients.dod IS NULL THEN 1 WHEN STRFTIME('%j', patients.dod) - STRFTIME('%j', t2.charttime) > 3 * 365 THEN 1 ELSE 0 END) * 100 / COUNT(*) AS c1 FROM (SELECT t1.subject_id, t1.icd9_code, t1.charttime FROM (SELECT admissions.subject_id, diagnoses_icd.icd9_code, diagnoses_icd.charttime FROM diagnoses_icd JOIN admissions ON diagnoses_icd.hadm_id = admissions.hadm_id GROUP BY admissions.subject_id, diagnoses_icd.icd9_code HAVING MIN(diagnoses_icd.charttime) = diagnoses_icd.charttime) AS t1 WHERE STRFTIME('%j', CURRENT_TIME()) - STRFTIME('%j', t1.charttime) > 3 * 365) AS t2 JOIN patients ON t2.subject_id = patients.subject_id GROUP BY t2.icd9_code) AS t3) AS t4 WHERE t4.c2 <= 3) | WITH "t1" AS (SELECT "admissions"."subject_id", "diagnoses_icd"."icd9_code", "diagnoses_icd"."charttime" FROM "diagnoses_icd" JOIN "admissions" ON "admissions"."hadm_id" = "diagnoses_icd"."hadm_id" GROUP BY "admissions"."subject_id", "diagnoses_icd"."icd9_code" HAVING "diagnoses_icd"."charttime" = MIN("diagnoses_icd"."charttime")), "t3" AS (SELECT "t1"."icd9_code", 100 - SUM(CASE WHEN "patients"."dod" IS NULL THEN 1 WHEN STRFTIME('%j', "patients"."dod") - STRFTIME('%j', "t1"."charttime") > 1095 THEN 1 ELSE 0 END) * 100 / NULLIF(COUNT(*), 0) AS "c1" FROM "t1" "t1" JOIN "patients" ON "patients"."subject_id" = "t1"."subject_id" WHERE STRFTIME('%j', CURRENT_TIME()) - STRFTIME('%j', "t1"."charttime") > 1095 GROUP BY "t1"."icd9_code"), "t4" AS (SELECT "t3"."icd9_code", DENSE_RANK() OVER (ORDER BY "t3"."c1" DESC) AS "c2" FROM "t3" "t3"), "_u_0" AS (SELECT "t4"."icd9_code" FROM "t4" "t4" WHERE "t4"."c2" <= 3 GROUP BY "icd9_code") SELECT "d_icd_diagnoses"."short_title" FROM "d_icd_diagnoses" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "d_icd_diagnoses"."icd9_code" WHERE NOT "_u_0"."" IS NULL | 1.068359 |
CREATE TABLE table_2001348_1 (closure_for_signature VARCHAR2, field VARCHAR2)
| How many inputs are there in the 'closure for signature' tab under the field 'sea (revised)'? | SELECT COUNT(closure_for_signature) FROM table_2001348_1 WHERE field = "Sea (revised)" | SELECT COUNT("closure_for_signature") FROM "table_2001348_1" WHERE "Sea (revised)" = "field" | 0.089844 |
CREATE TABLE table_name_48 (relegated VARCHAR2, season VARCHAR2)
| What was relegated in the 2006 season? | SELECT relegated FROM table_name_48 WHERE season = "2006" | SELECT "relegated" FROM "table_name_48" WHERE "2006" = "season" | 0.061523 |
CREATE TABLE characteristics (characteristic_id NUMBER, characteristic_type_code CLOB, characteristic_data_type CLOB, characteristic_name CLOB, other_characteristic_details CLOB)
CREATE TABLE products (product_id NUMBER, color_code CLOB, product_category_code CLOB, product_name CLOB, typical_buying_price CLOB, typical_selling_price CLOB, product_description CLOB, other_product_details CLOB)
CREATE TABLE product_characteristics (product_id NUMBER, characteristic_id NUMBER, product_characteristic_value CLOB)
CREATE TABLE ref_product_categories (product_category_code CLOB, product_category_description CLOB, unit_of_measure CLOB)
CREATE TABLE ref_colors (color_code CLOB, color_description CLOB)
CREATE TABLE ref_characteristic_types (characteristic_type_code CLOB, characteristic_type_description CLOB)
| What is the unit of measurement of product named 'cumin'? | SELECT t2.unit_of_measure FROM products AS t1 JOIN ref_product_categories AS t2 ON t1.product_category_code = t2.product_category_code WHERE t1.product_name = "cumin" | SELECT "t2"."unit_of_measure" FROM "products" "t1" JOIN "ref_product_categories" "t2" ON "t1"."product_category_code" = "t2"."product_category_code" WHERE "cumin" = "t1"."product_name" | 0.179688 |
CREATE TABLE table_63949 ("Rank" FLOAT, "Lane" FLOAT, "Name" CLOB, "Nationality" CLOB, "Time" FLOAT)
| What is the time with fewer than 5 lanes for the United States? | SELECT SUM("Time") FROM table_63949 WHERE "Lane" < '5' AND "Nationality" = 'united states' | SELECT SUM("Time") FROM "table_63949" WHERE "Lane" < '5' AND "Nationality" = 'united states' | 0.089844 |
CREATE TABLE table_7708 ("Draw" FLOAT, "Artist" CLOB, "Song" CLOB, "Televote" FLOAT, "Place" FLOAT)
| What draw average has a televote less than 633 and Vilma Voroblevait as artist and the place is greater than 14? | SELECT AVG("Draw") FROM table_7708 WHERE "Televote" < '633' AND "Artist" = 'vilma voroblevaitė' AND "Place" > '14' | SELECT AVG("Draw") FROM "table_7708" WHERE "Artist" = 'vilma voroblevaitė' AND "Place" > '14' AND "Televote" < '633' | 0.113281 |
CREATE TABLE table_11326124_3 (outcome VARCHAR2, round VARCHAR2)
| What was the result of round 2r? | SELECT outcome FROM table_11326124_3 WHERE round = "2R" | SELECT "outcome" FROM "table_11326124_3" WHERE "2R" = "round" | 0.05957 |
CREATE TABLE table_name_69 (ceremony VARCHAR2, nominee VARCHAR2)
| In which ceremony was Jayant nominated for an award? | SELECT ceremony FROM table_name_69 WHERE nominee = "jayant" | SELECT "ceremony" FROM "table_name_69" WHERE "jayant" = "nominee" | 0.063477 |
CREATE TABLE table_name_40 (station_number VARCHAR2, location VARCHAR2)
| What is the station number of the station at Dogsthorpe? | SELECT station_number FROM table_name_40 WHERE location = "dogsthorpe" | SELECT "station_number" FROM "table_name_40" WHERE "dogsthorpe" = "location" | 0.074219 |
CREATE TABLE countries (COUNTRY_ID VARCHAR2, COUNTRY_NAME VARCHAR2, REGION_ID NUMBER)
CREATE TABLE jobs (JOB_ID VARCHAR2, JOB_TITLE VARCHAR2, MIN_SALARY NUMBER, MAX_SALARY NUMBER)
CREATE TABLE employees (EMPLOYEE_ID NUMBER, FIRST_NAME VARCHAR2, LAST_NAME VARCHAR2, EMAIL VARCHAR2, PHONE_NUMBER VARCHAR2, HIRE_DATE DATE, JOB_ID VARCHAR2, SALARY NUMBER, COMMISSION_PCT NUMBER, MANAGER_ID NUMBER, DEPARTMENT_ID NUMBER)
CREATE TABLE 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 regions (REGION_ID NUMBER, REGION_NAME VARCHAR2)
CREATE TABLE locations (LOCATION_ID NUMBER, STREET_ADDRESS VARCHAR2, POSTAL_CODE VARCHAR2, CITY VARCHAR2, STATE_PROVINCE VARCHAR2, COUNTRY_ID VARCHAR2)
| For those employees who did not have any job in the past, find job_id and the sum of employee_id , and group by attribute job_id, and visualize them by a bar chart. | SELECT JOB_ID, SUM(EMPLOYEE_ID) FROM employees WHERE NOT EMPLOYEE_ID IN (SELECT EMPLOYEE_ID FROM job_history) GROUP BY JOB_ID | SELECT "JOB_ID", SUM("EMPLOYEE_ID") FROM "employees" WHERE NOT "EMPLOYEE_ID" IN (SELECT "EMPLOYEE_ID" FROM "job_history") GROUP BY "JOB_ID" | 0.135742 |
CREATE TABLE compartment_class (compartment VARCHAR2, class_type VARCHAR2)
CREATE TABLE time_interval (period CLOB, begin_time NUMBER, end_time NUMBER)
CREATE TABLE class_of_service (booking_class VARCHAR2, rank NUMBER, class_description CLOB)
CREATE TABLE city (city_code VARCHAR2, city_name VARCHAR2, state_code VARCHAR2, country_name VARCHAR2, time_zone_code VARCHAR2)
CREATE TABLE code_description (code VARCHAR2, description CLOB)
CREATE TABLE aircraft (aircraft_code VARCHAR2, aircraft_description VARCHAR2, manufacturer VARCHAR2, basic_type VARCHAR2, engines NUMBER, propulsion VARCHAR2, wide_body VARCHAR2, wing_span NUMBER, length NUMBER, weight NUMBER, capacity NUMBER, pay_load NUMBER, cruising_speed NUMBER, range_miles NUMBER, pressurized VARCHAR2)
CREATE TABLE flight (aircraft_code_sequence CLOB, airline_code VARCHAR2, airline_flight CLOB, arrival_time NUMBER, connections NUMBER, departure_time NUMBER, dual_carrier CLOB, flight_days CLOB, flight_id NUMBER, flight_number NUMBER, from_airport VARCHAR2, meal_code CLOB, stops NUMBER, time_elapsed NUMBER, to_airport VARCHAR2)
CREATE TABLE date_day (month_number NUMBER, day_number NUMBER, year NUMBER, day_name VARCHAR2)
CREATE TABLE state (state_code CLOB, state_name CLOB, country_name CLOB)
CREATE TABLE airline (airline_code VARCHAR2, airline_name CLOB, note CLOB)
CREATE TABLE month (month_number NUMBER, month_name CLOB)
CREATE TABLE time_zone (time_zone_code CLOB, time_zone_name CLOB, hours_from_gmt NUMBER)
CREATE TABLE equipment_sequence (aircraft_code_sequence VARCHAR2, aircraft_code VARCHAR2)
CREATE TABLE dual_carrier (main_airline VARCHAR2, low_flight_number NUMBER, high_flight_number NUMBER, dual_airline VARCHAR2, service_name CLOB)
CREATE TABLE flight_leg (flight_id NUMBER, leg_number NUMBER, leg_flight NUMBER)
CREATE TABLE flight_fare (flight_id NUMBER, fare_id NUMBER)
CREATE TABLE days (days_code VARCHAR2, day_name VARCHAR2)
CREATE TABLE ground_service (city_code CLOB, airport_code CLOB, transport_type CLOB, ground_fare NUMBER)
CREATE TABLE airport (airport_code VARCHAR2, airport_name CLOB, airport_location CLOB, state_code VARCHAR2, country_name VARCHAR2, time_zone_code VARCHAR2, minimum_connect_time NUMBER)
CREATE TABLE flight_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 airport_service (city_code VARCHAR2, airport_code VARCHAR2, miles_distant NUMBER, direction VARCHAR2, minutes_distant NUMBER)
CREATE TABLE food_service (meal_code CLOB, meal_number NUMBER, compartment CLOB, meal_description VARCHAR2)
CREATE TABLE 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 restriction (restriction_code CLOB, advance_purchase NUMBER, stopovers CLOB, saturday_stay_required CLOB, minimum_stay NUMBER, maximum_stay NUMBER, application CLOB, no_discounts CLOB)
CREATE TABLE fare (fare_id NUMBER, from_airport VARCHAR2, to_airport VARCHAR2, fare_basis_code CLOB, fare_airline CLOB, restriction_code CLOB, one_direction_cost NUMBER, round_trip_cost NUMBER, round_trip_required VARCHAR2)
| show all connecting flights from PITTSBURGH to OAKLAND | 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 = 'PITTSBURGH' AND CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'OAKLAND' AND flight.from_airport = AIRPORT_SERVICE_0.airport_code AND flight.to_airport = AIRPORT_SERVICE_1.airport_code) AND flight.connections > 0 | 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"."connections" > 0 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" = 'OAKLAND' | 0.515625 |
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
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)
| Provide the number of patients diagnosed with osteoarthrosis where it was unspecified whether it was generalized or localized at the site who had abnormal lab test status. | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE diagnoses.long_title = "Osteoarthrosis, unspecified whether generalized or localized, site unspecified" AND lab.flag = "abnormal" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "Osteoarthrosis, unspecified whether generalized or localized, site unspecified" = "diagnoses"."long_title" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" JOIN "lab" ON "abnormal" = "lab"."flag" AND "demographic"."hadm_id" = "lab"."hadm_id" | 0.326172 |
CREATE TABLE table_name_19 (nfl_team VARCHAR2, college VARCHAR2)
| WHich team draft the player who went to college in Washington? | SELECT nfl_team FROM table_name_19 WHERE college = "washington" | SELECT "nfl_team" FROM "table_name_19" WHERE "college" = "washington" | 0.067383 |
CREATE TABLE table_name_56 (home_team VARCHAR2, venue VARCHAR2)
| What is the home team score for kardinia park? | SELECT home_team AS score FROM table_name_56 WHERE venue = "kardinia park" | SELECT "home_team" AS "score" FROM "table_name_56" WHERE "kardinia park" = "venue" | 0.080078 |
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
| count the number of patients whose year of birth is less than 2056 and lab test fluid is blood? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.dob_year < "2056" AND lab.fluid = "Blood" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "lab" ON "Blood" = "lab"."fluid" AND "demographic"."hadm_id" = "lab"."hadm_id" WHERE "2056" > "demographic"."dob_year" | 0.1875 |
CREATE TABLE table_13012 ("Country" CLOB, "Builder" CLOB, "Location" CLOB, "Ship" CLOB, "Class / type" CLOB)
| In what country is Aberdeen? | SELECT "Country" FROM table_13012 WHERE "Location" = 'aberdeen' | SELECT "Country" FROM "table_13012" WHERE "Location" = 'aberdeen' | 0.063477 |
CREATE TABLE member (member_id NUMBER, member_name CLOB, party_id CLOB, in_office CLOB)
CREATE TABLE party_events (event_id NUMBER, event_name CLOB, party_id NUMBER, member_in_charge_id NUMBER)
CREATE TABLE region (region_id NUMBER, region_name CLOB, date CLOB, label CLOB, format CLOB, catalogue CLOB)
CREATE TABLE party (party_id NUMBER, minister CLOB, took_office CLOB, left_office CLOB, region_id NUMBER, party_name CLOB)
| Show party names and the number of events for each party. | SELECT T2.party_name, COUNT(*) FROM party_events AS T1 JOIN party AS T2 ON T1.party_id = T2.party_id GROUP BY T1.party_id | SELECT "T2"."party_name", COUNT(*) FROM "party_events" "T1" JOIN "party" "T2" ON "T1"."party_id" = "T2"."party_id" GROUP BY "T1"."party_id" | 0.135742 |
CREATE TABLE table_975 ("Quarter" CLOB, "Android" CLOB, "iOS" CLOB, "Symbian" CLOB, "BlackBerry OS" CLOB, "Linux" CLOB, "Windows Phone" CLOB, "Other" CLOB, "Total" CLOB)
| How many millions of Blackberry OS smartphones were shipped when 10.4 million Symbian smartphones were shipped? | SELECT "BlackBerry OS" FROM table_975 WHERE "Symbian" = '10.4' | SELECT "BlackBerry OS" FROM "table_975" WHERE "Symbian" = '10.4' | 0.0625 |
CREATE TABLE table_name_19 (gold NUMBER, bronze VARCHAR2, total VARCHAR2, nation VARCHAR2)
| What is the average number of gold medals won by Brazil for entries with more than 1 bronze medal but a total smaller than 4? | SELECT AVG(gold) FROM table_name_19 WHERE total < 4 AND nation = "brazil" AND bronze > 1 | SELECT AVG("gold") FROM "table_name_19" WHERE "brazil" = "nation" AND "bronze" > 1 AND "total" < 4 | 0.095703 |
CREATE TABLE table_name_63 (school VARCHAR2, year_left VARCHAR2)
| From what school was the team that left the conference in 1992? | SELECT school FROM table_name_63 WHERE year_left = "1992" | SELECT "school" FROM "table_name_63" WHERE "1992" = "year_left" | 0.061523 |
CREATE TABLE table_69360 ("Week" CLOB, "Theme" CLOB, "Song choice" CLOB, "Original artist" CLOB, "Result" CLOB)
| What week was the Original artist, the police ? | SELECT "Week" FROM table_69360 WHERE "Original artist" = 'the police' | SELECT "Week" FROM "table_69360" WHERE "Original artist" = 'the police' | 0.069336 |
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE 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)
| find the number of female patients who were born before 2184. | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.gender = "F" AND demographic.dob_year < "2184" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "2184" > "demographic"."dob_year" AND "F" = "demographic"."gender" | 0.137695 |
CREATE TABLE table_28146944_2 (title VARCHAR2, no_in_series VARCHAR2)
| What's the title of the episode with series number 36? | SELECT title FROM table_28146944_2 WHERE no_in_series = 36 | SELECT "title" FROM "table_28146944_2" WHERE "no_in_series" = 36 | 0.0625 |
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