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CREATE TABLE table_name_61 (rank NUMBER, athlete VARCHAR2, time VARCHAR2)
| What is the sum rank of Solomon Bayoh when his time was smaller than 22.16? | SELECT SUM(rank) FROM table_name_61 WHERE athlete = "solomon bayoh" AND time < 22.16 | SELECT SUM("rank") FROM "table_name_61" WHERE "athlete" = "solomon bayoh" AND "time" < 22.16 | 0.089844 |
CREATE TABLE table_56791 ("Debut year" FLOAT, "Player" CLOB, "Date of birth" CLOB, "Games" FLOAT, "Goals" FLOAT, "Years at club" CLOB)
| How many games for keith j. miller, who debuted after 1974 with less than 1 goal? | SELECT AVG("Games") FROM table_56791 WHERE "Goals" < '1' AND "Player" = 'keith j. miller' AND "Debut year" > '1974' | SELECT AVG("Games") FROM "table_56791" WHERE "Debut year" > '1974' AND "Goals" < '1' AND "Player" = 'keith j. miller' | 0.114258 |
CREATE TABLE table_name_52 (goals_for NUMBER, rank VARCHAR2)
| How many goals on average are there for rank 3? | SELECT AVG(goals_for) FROM table_name_52 WHERE rank = 3 | SELECT AVG("goals_for") FROM "table_name_52" WHERE "rank" = 3 | 0.05957 |
CREATE TABLE table_2508633_11 (college VARCHAR2, nfl_team VARCHAR2)
| How many colleges have the NFL Team Buffalo Bills? | SELECT COUNT(college) FROM table_2508633_11 WHERE nfl_team = "Buffalo Bills" | SELECT COUNT("college") FROM "table_2508633_11" WHERE "Buffalo Bills" = "nfl_team" | 0.080078 |
CREATE TABLE table_204_789 (id NUMBER, "plant name" CLOB, "location" CLOB, "country" CLOB, "startup date" NUMBER, "capacity ( mmtpa ) " CLOB, "corporation" CLOB)
| which plant is the oldest ? | SELECT "plant name" FROM table_204_789 ORDER BY "startup date" LIMIT 1 | SELECT "plant name" FROM "table_204_789" ORDER BY "startup date" FETCH FIRST 1 ROWS ONLY | 0.085938 |
CREATE TABLE table_name_66 (current_status VARCHAR2, livery VARCHAR2)
| What's the Current Status of Livery of the Network South-East? | SELECT current_status FROM table_name_66 WHERE livery = "network south-east" | SELECT "current_status" FROM "table_name_66" WHERE "livery" = "network south-east" | 0.080078 |
CREATE TABLE table_58913 ("Season" CLOB, "League" CLOB, "Teams" CLOB, "Home" CLOB, "Away" CLOB)
| What away has 1-4 as the home? | SELECT "Away" FROM table_58913 WHERE "Home" = '1-4' | SELECT "Away" FROM "table_58913" WHERE "Home" = '1-4' | 0.051758 |
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 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)
| provide the number of patients who had hematology lab test category and are diagnosed with unspecified obesity. | 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 = "Obesity, unspecified" AND lab."CATEGORY" = "Hematology" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "Obesity, unspecified" = "diagnoses"."long_title" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" JOIN "lab" ON "Hematology" = "lab"."CATEGORY" AND "demographic"."hadm_id" = "lab"."hadm_id" | 0.275391 |
CREATE TABLE table_name_47 (points NUMBER, year NUMBER)
| What is the total points before 1963? | SELECT SUM(points) FROM table_name_47 WHERE year < 1963 | SELECT SUM("points") FROM "table_name_47" WHERE "year" < 1963 | 0.05957 |
CREATE TABLE table_71686 ("Year" CLOB, "Start" CLOB, "Qual" CLOB, "Rank" CLOB, "Finish" CLOB, "Laps" FLOAT)
| What qual had a finish of 16 in 1968? | SELECT "Qual" FROM table_71686 WHERE "Finish" = '16' AND "Year" = '1968' | SELECT "Qual" FROM "table_71686" WHERE "Finish" = '16' AND "Year" = '1968' | 0.072266 |
CREATE TABLE table_15807 ("Name" CLOB, "Starting Point" CLOB, "Terminus" CLOB, "Operates" CLOB, "Direction" CLOB)
| Which route has a terminus of pine Forest? | SELECT "Name" FROM table_15807 WHERE "Terminus" = 'pine forest' | SELECT "Name" FROM "table_15807" WHERE "Terminus" = 'pine forest' | 0.063477 |
CREATE TABLE Apartments (apt_id NUMBER, building_id NUMBER, apt_type_code CHAR, apt_number CHAR, bathroom_count NUMBER, bedroom_count NUMBER, room_count CHAR)
CREATE TABLE Apartment_Bookings (apt_booking_id NUMBER, apt_id NUMBER, guest_id NUMBER, booking_status_code CHAR, booking_start_date DATETIME, booking_end_date DATETIME)
CREATE TABLE Guests (guest_id NUMBER, gender_code CHAR, guest_first_name VARCHAR2, guest_last_name VARCHAR2, date_of_birth DATETIME)
CREATE TABLE Apartment_Facilities (apt_id NUMBER, facility_code CHAR)
CREATE TABLE View_Unit_Status (apt_id NUMBER, apt_booking_id NUMBER, status_date DATETIME, available_yn BIT)
CREATE TABLE Apartment_Buildings (building_id NUMBER, building_short_name CHAR, building_full_name VARCHAR2, building_description VARCHAR2, building_address VARCHAR2, building_manager VARCHAR2, building_phone VARCHAR2)
| What are dates of birth of all the guests whose gender is 'Male', and count them by a bar chart, and list by the y axis in descending. | SELECT date_of_birth, COUNT(date_of_birth) FROM Guests WHERE gender_code = "Male" ORDER BY COUNT(date_of_birth) DESC | SELECT "date_of_birth", COUNT("date_of_birth") FROM "Guests" WHERE "Male" = "gender_code" ORDER BY COUNT("date_of_birth") DESC | 0.123047 |
CREATE TABLE table_51760 ("Year" FLOAT, "Competition" CLOB, "Venue" CLOB, "Position" CLOB, "Event" CLOB)
| what is the year that the position was 1st in paris? | SELECT "Year" FROM table_51760 WHERE "Position" = '1st' AND "Venue" = 'paris' | SELECT "Year" FROM "table_51760" WHERE "Position" = '1st' AND "Venue" = 'paris' | 0.077148 |
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
| how many patients whose procedure icd9 code is 3950? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE procedures.icd9_code = "3950" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "procedures" ON "3950" = "procedures"."icd9_code" AND "demographic"."hadm_id" = "procedures"."hadm_id" | 0.171875 |
CREATE TABLE table_203_214 (id NUMBER, "member" CLOB, "party" CLOB, "electorate" CLOB, "state" CLOB, "first elected" CLOB)
| which party was elected the least ? | SELECT "party" FROM table_203_214 GROUP BY "party" ORDER BY COUNT(*) LIMIT 1 | SELECT "party" FROM "table_203_214" GROUP BY "party" ORDER BY COUNT(*) FETCH FIRST 1 ROWS ONLY | 0.091797 |
CREATE TABLE ta (campus_job_id NUMBER, student_id NUMBER, location VARCHAR2)
CREATE TABLE gsi (course_offering_id NUMBER, student_id NUMBER)
CREATE TABLE student (student_id NUMBER, lastname VARCHAR2, firstname VARCHAR2, program_id NUMBER, declare_major VARCHAR2, total_credit NUMBER, total_gpa FLOAT, entered_as VARCHAR2, admit_term NUMBER, predicted_graduation_semester NUMBER, degree VARCHAR2, minor VARCHAR2, internship VARCHAR2)
CREATE TABLE 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 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_course (program_id NUMBER, course_id NUMBER, workload NUMBER, category VARCHAR2)
CREATE TABLE jobs (job_id NUMBER, job_title VARCHAR2, description VARCHAR2, requirement VARCHAR2, city VARCHAR2, state VARCHAR2, country VARCHAR2, zip NUMBER)
CREATE TABLE comment_instructor (instructor_id NUMBER, student_id NUMBER, score NUMBER, comment_text VARCHAR2)
CREATE TABLE requirement (requirement_id NUMBER, requirement VARCHAR2, college 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 (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 semester (semester_id NUMBER, semester VARCHAR2, year NUMBER)
CREATE TABLE program (program_id NUMBER, name VARCHAR2, college VARCHAR2, introduction VARCHAR2)
CREATE TABLE area (course_id NUMBER, area VARCHAR2)
CREATE TABLE course_prerequisite (pre_course_id NUMBER, course_id NUMBER)
CREATE TABLE offering_instructor (offering_instructor_id NUMBER, offering_id NUMBER, instructor_id NUMBER)
| To satisfy the Core requirement , which courses can I take in Special Psychological Processes ? | SELECT DISTINCT course.department, course.name, course.number FROM course INNER JOIN area ON course.course_id = area.course_id INNER JOIN program_course ON program_course.course_id = course.course_id WHERE (area.area LIKE '%Special Psychological Processes%' OR course.description LIKE '%Special Psychological Processes%' OR course.name LIKE '%Special Psychological Processes%') AND program_course.category LIKE '%Core%' | SELECT DISTINCT "course"."department", "course"."name", "course"."number" FROM "course" JOIN "area" ON ("area"."area" LIKE '%Special Psychological Processes%' OR "course"."description" LIKE '%Special Psychological Processes%' OR "course"."name" LIKE '%Special Psychological Processes%') AND "area"."course_id" = "course"."course_id" JOIN "program_course" ON "course"."course_id" = "program_course"."course_id" AND "program_course"."category" LIKE '%Core%' | 0.444336 |
CREATE TABLE table_51959 ("Train No." CLOB, "Train Name" CLOB, "Origin" CLOB, "Destination" CLOB, "Frequency" CLOB)
| What is number of the train that originated in Secunderabad Junction? | SELECT "Train No." FROM table_51959 WHERE "Origin" = 'secunderabad junction' | SELECT "Train No." FROM "table_51959" WHERE "Origin" = 'secunderabad junction' | 0.076172 |
CREATE TABLE Accounts (Account_ID NUMBER, Statement_ID NUMBER, Account_Details VARCHAR2)
CREATE TABLE Projects (Project_ID NUMBER, Project_Details VARCHAR2)
CREATE TABLE Ref_Document_Types (Document_Type_Code CHAR, Document_Type_Name VARCHAR2, Document_Type_Description VARCHAR2)
CREATE TABLE Documents_with_Expenses (Document_ID NUMBER, Budget_Type_Code CHAR, Document_Details VARCHAR2)
CREATE TABLE Statements (Statement_ID NUMBER, Statement_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 Ref_Budget_Codes (Budget_Type_Code CHAR, Budget_Type_Description VARCHAR2)
| Show me a pie chart for how many documents are there of each type? | SELECT Document_Type_Code, COUNT(*) FROM Documents GROUP BY Document_Type_Code | SELECT "Document_Type_Code", COUNT(*) FROM "Documents" GROUP BY "Document_Type_Code" | 0.082031 |
CREATE TABLE table_59361 ("Year" FLOAT, "Date" CLOB, "Home Team" CLOB, "Result" CLOB, "Visiting Team" CLOB, "Venue" CLOB, "Attendance" FLOAT)
| What is Result, when Date is 'November 22'? | SELECT "Result" FROM table_59361 WHERE "Date" = 'november 22' | SELECT "Result" FROM "table_59361" WHERE "Date" = 'november 22' | 0.061523 |
CREATE TABLE diagnosis (diagnosisid NUMBER, patientunitstayid NUMBER, diagnosisname CLOB, diagnosistime TIME, icd9code CLOB)
CREATE TABLE patient (uniquepid CLOB, patienthealthsystemstayid NUMBER, patientunitstayid NUMBER, gender CLOB, age CLOB, ethnicity CLOB, hospitalid NUMBER, wardid NUMBER, admissionheight NUMBER, admissionweight NUMBER, dischargeweight NUMBER, hospitaladmittime TIME, hospitaladmitsource CLOB, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus CLOB)
CREATE TABLE allergy (allergyid NUMBER, patientunitstayid NUMBER, drugname CLOB, allergyname CLOB, allergytime TIME)
CREATE TABLE cost (costid NUMBER, uniquepid CLOB, patienthealthsystemstayid NUMBER, eventtype CLOB, eventid NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE treatment (treatmentid NUMBER, patientunitstayid NUMBER, treatmentname CLOB, treatmenttime TIME)
CREATE TABLE medication (medicationid NUMBER, patientunitstayid NUMBER, drugname CLOB, dosage CLOB, routeadmin CLOB, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE vitalperiodic (vitalperiodicid NUMBER, patientunitstayid NUMBER, temperature NUMBER, sao2 NUMBER, heartrate NUMBER, respiration NUMBER, systemicsystolic NUMBER, systemicdiastolic NUMBER, systemicmean NUMBER, observationtime TIME)
CREATE TABLE lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime TIME)
CREATE TABLE microlab (microlabid NUMBER, patientunitstayid NUMBER, culturesite CLOB, organism CLOB, culturetakentime TIME)
CREATE TABLE intakeoutput (intakeoutputid NUMBER, patientunitstayid NUMBER, cellpath CLOB, celllabel CLOB, cellvaluenumeric NUMBER, intakeoutputtime TIME)
| count the number of patients who had been discharged until 2100. | SELECT COUNT(DISTINCT patient.uniquepid) FROM patient WHERE NOT patient.hospitaldischargetime IS NULL AND STRFTIME('%y', patient.hospitaldischargetime) <= '2100' | SELECT COUNT(DISTINCT "patient"."uniquepid") FROM "patient" WHERE NOT "patient"."hospitaldischargetime" IS NULL AND STRFTIME('%y', "patient"."hospitaldischargetime") <= '2100' | 0.170898 |
CREATE TABLE table_58003 ("Game" FLOAT, "Date" CLOB, "Team" CLOB, "Score" CLOB, "High points" CLOB, "High rebounds" CLOB, "High assists" CLOB, "Location Attendance" CLOB, "Record" CLOB)
| Which team was played against on the game where Earl Watson (6) had the highest assists on January 19? | SELECT "Team" FROM table_58003 WHERE "High assists" = 'earl watson (6)' AND "Date" = 'january 19' | SELECT "Team" FROM "table_58003" WHERE "Date" = 'january 19' AND "High assists" = 'earl watson (6)' | 0.09668 |
CREATE TABLE table_65789 ("Rank" FLOAT, "Summit" CLOB, "Country" CLOB, "Island" CLOB, "Col ( m ) " FLOAT)
| What's the lowest Col ranked less than 6 with an Island of Moloka i? | SELECT MIN("Col (m)") FROM table_65789 WHERE "Island" = 'island of molokaʻi' AND "Rank" < '6' | SELECT MIN("Col (m)") FROM "table_65789" WHERE "Island" = 'island of molokaʻi' AND "Rank" < '6' | 0.092773 |
CREATE TABLE On_Call (Nurse NUMBER, BlockFloor NUMBER, BlockCode NUMBER, OnCallStart DATETIME, OnCallEnd DATETIME)
CREATE TABLE Prescribes (Physician NUMBER, Patient NUMBER, Medication NUMBER, Date DATETIME, Appointment NUMBER, Dose VARCHAR2)
CREATE TABLE Appointment (AppointmentID NUMBER, Patient NUMBER, PrepNurse NUMBER, Physician NUMBER, Start DATETIME, End DATETIME, ExaminationRoom CLOB)
CREATE TABLE Trained_In (Physician NUMBER, Treatment NUMBER, CertificationDate DATETIME, CertificationExpires DATETIME)
CREATE TABLE Medication (Code NUMBER, Name VARCHAR2, Brand VARCHAR2, Description VARCHAR2)
CREATE TABLE Department (DepartmentID NUMBER, Name VARCHAR2, Head NUMBER)
CREATE TABLE Physician (EmployeeID NUMBER, Name VARCHAR2, Position VARCHAR2, SSN NUMBER)
CREATE TABLE Nurse (EmployeeID NUMBER, Name VARCHAR2, Position VARCHAR2, Registered BOOLEAN, SSN NUMBER)
CREATE TABLE Stay (StayID NUMBER, Patient NUMBER, Room NUMBER, StayStart DATETIME, StayEnd DATETIME)
CREATE TABLE Affiliated_With (Physician NUMBER, Department NUMBER, PrimaryAffiliation BOOLEAN)
CREATE TABLE Procedures (Code NUMBER, Name VARCHAR2, Cost FLOAT)
CREATE TABLE Block (BlockFloor NUMBER, BlockCode NUMBER)
CREATE TABLE Room (RoomNumber NUMBER, RoomType VARCHAR2, BlockFloor NUMBER, BlockCode NUMBER, Unavailable BOOLEAN)
CREATE TABLE Patient (SSN NUMBER, Name VARCHAR2, Address VARCHAR2, Phone VARCHAR2, InsuranceID NUMBER, PCP NUMBER)
CREATE TABLE Undergoes (Patient NUMBER, Procedures NUMBER, Stay NUMBER, DateUndergoes DATETIME, Physician NUMBER, AssistingNurse NUMBER)
| Give me a bar chart showing how many physicians for each department name they primarily affiliated in, display in desc by the names. | SELECT T3.Name, COUNT(T3.Name) FROM Physician AS T1 JOIN Affiliated_With AS T2 ON T1.EmployeeID = T2.Physician JOIN Department AS T3 ON T2.Department = T3.DepartmentID WHERE T2.PrimaryAffiliation = 1 GROUP BY T3.Name ORDER BY T3.Name DESC | SELECT "T3"."Name", COUNT("T3"."Name") FROM "Physician" "T1" JOIN "Affiliated_With" "T2" ON "T1"."EmployeeID" = "T2"."Physician" AND "T2"."PrimaryAffiliation" = 1 JOIN "Department" "T3" ON "T2"."Department" = "T3"."DepartmentID" GROUP BY "T3"."Name" ORDER BY "T3"."Name" DESC | 0.268555 |
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
| Give me the number of patients less than 62 years of age diagnosed with calculus of bile duct without mention of cholecystitis with obstruction. | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.age < "62" AND diagnoses.short_title = "Choledochlith NOS w obst" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "Choledochlith NOS w obst" = "diagnoses"."short_title" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" WHERE "62" > "demographic"."age" | 0.222656 |
CREATE TABLE flight_fare (flight_id NUMBER, fare_id NUMBER)
CREATE TABLE date_day (month_number NUMBER, day_number NUMBER, year NUMBER, day_name VARCHAR2)
CREATE TABLE airport_service (city_code VARCHAR2, airport_code VARCHAR2, miles_distant NUMBER, direction VARCHAR2, minutes_distant NUMBER)
CREATE TABLE state (state_code CLOB, state_name CLOB, country_name CLOB)
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 flight_stop (flight_id NUMBER, stop_number NUMBER, stop_days CLOB, stop_airport CLOB, arrival_time NUMBER, arrival_airline CLOB, arrival_flight_number NUMBER, departure_time NUMBER, departure_airline CLOB, departure_flight_number NUMBER, stop_time NUMBER)
CREATE TABLE compartment_class (compartment VARCHAR2, class_type VARCHAR2)
CREATE TABLE airline (airline_code VARCHAR2, airline_name CLOB, note CLOB)
CREATE TABLE dual_carrier (main_airline VARCHAR2, low_flight_number NUMBER, high_flight_number NUMBER, dual_airline VARCHAR2, service_name CLOB)
CREATE TABLE days (days_code VARCHAR2, day_name 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_leg (flight_id NUMBER, leg_number NUMBER, leg_flight NUMBER)
CREATE TABLE month (month_number NUMBER, month_name CLOB)
CREATE TABLE airport (airport_code VARCHAR2, airport_name CLOB, airport_location CLOB, state_code VARCHAR2, country_name VARCHAR2, time_zone_code VARCHAR2, minimum_connect_time NUMBER)
CREATE TABLE fare (fare_id NUMBER, from_airport VARCHAR2, to_airport VARCHAR2, fare_basis_code CLOB, fare_airline CLOB, restriction_code CLOB, one_direction_cost NUMBER, round_trip_cost NUMBER, round_trip_required VARCHAR2)
CREATE TABLE food_service (meal_code CLOB, meal_number NUMBER, compartment CLOB, meal_description VARCHAR2)
CREATE TABLE ground_service (city_code CLOB, airport_code CLOB, transport_type CLOB, ground_fare NUMBER)
CREATE TABLE fare_basis (fare_basis_code CLOB, booking_class CLOB, class_type CLOB, premium CLOB, economy CLOB, discounted CLOB, night CLOB, season CLOB, basis_days CLOB)
CREATE TABLE time_zone (time_zone_code CLOB, time_zone_name CLOB, hours_from_gmt NUMBER)
CREATE TABLE 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 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)
| what flights are available from PITTSBURGH to BOSTON on wednesday of next week | SELECT DISTINCT flight.flight_id FROM airport_service AS AIRPORT_SERVICE_0, airport_service AS AIRPORT_SERVICE_1, city AS CITY_0, city AS CITY_1, date_day, days, flight WHERE (CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'BOSTON' AND date_day.day_number = 23 AND date_day.month_number = 4 AND date_day.year = 1991 AND days.day_name = date_day.day_name AND flight.flight_days = days.days_code AND flight.to_airport = AIRPORT_SERVICE_1.airport_code) AND CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'PITTSBURGH' AND flight.from_airport = AIRPORT_SERVICE_0.airport_code | SELECT DISTINCT "flight"."flight_id" FROM "airport_service" "AIRPORT_SERVICE_0" JOIN "date_day" ON "date_day"."day_number" = 23 AND "date_day"."month_number" = 4 AND "date_day"."year" = 1991 JOIN "city" "CITY_0" ON "AIRPORT_SERVICE_0"."city_code" = "CITY_0"."city_code" AND "CITY_0"."city_name" = 'PITTSBURGH' JOIN "days" ON "date_day"."day_name" = "days"."day_name" JOIN "flight" ON "AIRPORT_SERVICE_0"."airport_code" = "flight"."from_airport" AND "days"."days_code" = "flight"."flight_days" JOIN "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' | 0.695313 |
CREATE TABLE PostHistoryTypes (Id NUMBER, Name CLOB)
CREATE TABLE Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount NUMBER)
CREATE TABLE ReviewTaskTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostsWithDeleted (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId NUMBER)
CREATE TABLE VoteTypes (Id NUMBER, Name CLOB)
CREATE TABLE ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
CREATE TABLE FlagTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Posts (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE 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 Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
CREATE TABLE PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
CREATE TABLE PostTypes (Id NUMBER, Name CLOB)
CREATE TABLE CloseReasonTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE ReviewTaskStates (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE CloseAsOffTopicReasonTypes (Id NUMBER, IsUniversal BOOLEAN, InputTitle CLOB, MarkdownInputGuidance CLOB, MarkdownPostOwnerGuidance CLOB, MarkdownPrivilegedUserGuidance CLOB, MarkdownConcensusDescription CLOB, CreationDate TIME, CreationModeratorId NUMBER, ApprovalDate TIME, ApprovalModeratorId NUMBER, DeactivationDate TIME, DeactivationModeratorId NUMBER)
CREATE TABLE PendingFlags (Id NUMBER, FlagTypeId NUMBER, PostId NUMBER, CreationDate TIME, CloseReasonTypeId NUMBER, CloseAsOffTopicReasonTypeId NUMBER, DuplicateOfQuestionId NUMBER, BelongsOnBaseHostAddress CLOB)
CREATE TABLE PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId NUMBER)
CREATE TABLE Comments (Id NUMBER, PostId NUMBER, Score NUMBER, Text CLOB, CreationDate TIME, UserDisplayName CLOB, UserId NUMBER, ContentLicense CLOB)
CREATE TABLE PostHistory (Id NUMBER, PostHistoryTypeId NUMBER, PostId NUMBER, RevisionGUID other, CreationDate TIME, UserId NUMBER, UserDisplayName CLOB, Comment CLOB, Text CLOB, ContentLicense CLOB)
CREATE TABLE Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
CREATE TABLE SuggestedEditVotes (Id NUMBER, SuggestedEditId NUMBER, UserId NUMBER, VoteTypeId NUMBER, CreationDate TIME, TargetUserId NUMBER, TargetRepChange NUMBER)
CREATE TABLE Users (Id NUMBER, Reputation NUMBER, CreationDate TIME, DisplayName CLOB, LastAccessDate TIME, WebsiteUrl CLOB, Location CLOB, AboutMe CLOB, Views NUMBER, UpVotes NUMBER, DownVotes NUMBER, ProfileImageUrl CLOB, EmailHash CLOB, AccountId NUMBER)
CREATE TABLE PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
CREATE TABLE PostTags (PostId NUMBER, TagId NUMBER)
CREATE TABLE ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment CLOB)
CREATE TABLE ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId NUMBER)
CREATE TABLE TagSynonyms (Id NUMBER, SourceTagName CLOB, TargetTagName CLOB, CreationDate TIME, OwnerUserId NUMBER, AutoRenameCount NUMBER, LastAutoRename TIME, Score NUMBER, ApprovedByUserId NUMBER, ApprovalDate TIME)
| MVP - Pull Contribution (Based on User ID). | SELECT U.DisplayName AS "name", TIME_TO_STR(P.CreationDate, '%YEAR') AS "year", SUM(CASE WHEN P.PostTypeId = 2 THEN 1 ELSE 0 END) AS "number_of_answers", COUNT(P.Id) AS "number_of_posts", CAST(SUM(P.Score) AS FLOAT(6, 2)) / COUNT(P.Id) AS "average_score", MAX(P.Score) AS "max_score", SUM(CASE WHEN P.PostTypeId = 2 THEN parent.ViewCount ELSE 0 END) AS "views_of_answers" FROM Posts AS P INNER JOIN Users AS U ON U.Id = P.OwnerUserId LEFT OUTER JOIN Posts AS parent ON parent.Id = P.ParentId WHERE P.OwnerUserId = '##UserId##' AND P.CreationDate >= '##asOf##' GROUP BY U.DisplayName, TIME_TO_STR(P.CreationDate, '%YEAR') | SELECT "U"."DisplayName" AS "name", TO_CHAR("P"."CreationDate", 'YYYYEAR') AS "year", SUM(CASE WHEN "P"."PostTypeId" = 2 THEN 1 ELSE 0 END) AS "number_of_answers", COUNT("P"."Id") AS "number_of_posts", CAST(SUM("P"."Score") AS FLOAT(6, 2)) / NULLIF(COUNT("P"."Id"), 0) AS "average_score", MAX("P"."Score") AS "max_score", SUM(CASE WHEN "P"."PostTypeId" = 2 THEN "parent"."ViewCount" ELSE 0 END) AS "views_of_answers" FROM "Posts" "P" JOIN "Users" "U" ON "P"."OwnerUserId" = "U"."Id" LEFT JOIN "Posts" "parent" ON "P"."ParentId" = "parent"."Id" WHERE "P"."CreationDate" >= '##asOf##' AND "P"."OwnerUserId" = '##UserId##' GROUP BY "U"."DisplayName", TO_CHAR("P"."CreationDate", 'YYYYEAR') | 0.669922 |
CREATE TABLE table_name_20 (mascot VARCHAR2, location VARCHAR2)
| What is bedford's mascot? | SELECT mascot FROM table_name_20 WHERE location = "bedford" | SELECT "mascot" FROM "table_name_20" WHERE "bedford" = "location" | 0.063477 |
CREATE TABLE table_30501 ("No." FLOAT, "Title" CLOB, "Directed by" CLOB, "Written by" CLOB, "U.S. viewers ( million ) " CLOB, "Original air date" CLOB, "Production code" FLOAT)
| what is the number of the episode in the season whose production code is 101? | SELECT COUNT("No.") FROM table_30501 WHERE "Production code" = '101' | SELECT COUNT("No.") FROM "table_30501" WHERE "Production code" = '101' | 0.068359 |
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 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 state (state_code CLOB, state_name CLOB, country_name CLOB)
CREATE TABLE ground_service (city_code CLOB, airport_code CLOB, transport_type CLOB, ground_fare NUMBER)
CREATE TABLE compartment_class (compartment VARCHAR2, class_type VARCHAR2)
CREATE TABLE flight_leg (flight_id NUMBER, leg_number NUMBER, leg_flight NUMBER)
CREATE TABLE city (city_code VARCHAR2, city_name VARCHAR2, state_code VARCHAR2, country_name VARCHAR2, time_zone_code VARCHAR2)
CREATE TABLE time_zone (time_zone_code CLOB, time_zone_name CLOB, hours_from_gmt NUMBER)
CREATE TABLE airport (airport_code VARCHAR2, airport_name CLOB, airport_location CLOB, state_code VARCHAR2, country_name VARCHAR2, time_zone_code VARCHAR2, minimum_connect_time NUMBER)
CREATE TABLE code_description (code VARCHAR2, description CLOB)
CREATE TABLE airline (airline_code VARCHAR2, airline_name CLOB, note CLOB)
CREATE TABLE dual_carrier (main_airline VARCHAR2, low_flight_number NUMBER, high_flight_number NUMBER, dual_airline VARCHAR2, service_name CLOB)
CREATE TABLE days (days_code VARCHAR2, day_name VARCHAR2)
CREATE TABLE date_day (month_number NUMBER, day_number NUMBER, year NUMBER, day_name VARCHAR2)
CREATE TABLE flight_fare (flight_id NUMBER, fare_id NUMBER)
CREATE TABLE flight (aircraft_code_sequence CLOB, airline_code VARCHAR2, airline_flight CLOB, arrival_time NUMBER, connections NUMBER, departure_time NUMBER, dual_carrier CLOB, flight_days CLOB, flight_id NUMBER, flight_number NUMBER, from_airport VARCHAR2, meal_code CLOB, stops NUMBER, time_elapsed NUMBER, to_airport VARCHAR2)
CREATE TABLE airport_service (city_code VARCHAR2, airport_code VARCHAR2, miles_distant NUMBER, direction VARCHAR2, minutes_distant NUMBER)
CREATE TABLE month (month_number NUMBER, month_name CLOB)
CREATE TABLE class_of_service (booking_class VARCHAR2, rank NUMBER, class_description CLOB)
CREATE TABLE equipment_sequence (aircraft_code_sequence VARCHAR2, aircraft_code VARCHAR2)
CREATE TABLE flight_stop (flight_id NUMBER, stop_number NUMBER, stop_days CLOB, stop_airport CLOB, arrival_time NUMBER, arrival_airline CLOB, arrival_flight_number NUMBER, departure_time NUMBER, departure_airline CLOB, departure_flight_number NUMBER, stop_time NUMBER)
CREATE TABLE time_interval (period CLOB, begin_time NUMBER, end_time NUMBER)
CREATE TABLE fare (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 restriction (restriction_code CLOB, advance_purchase NUMBER, stopovers CLOB, saturday_stay_required CLOB, minimum_stay NUMBER, maximum_stay NUMBER, application CLOB, no_discounts CLOB)
| ground transportation between airport and downtown in BOS | SELECT DISTINCT ground_service.transport_type FROM airport, airport_service, city AS CITY_0, city AS CITY_1, ground_service WHERE airport.airport_code = airport_service.airport_code AND CITY_0.city_name = 'BOSTON' AND CITY_1.city_code = airport_service.city_code AND CITY_1.city_name = 'BOSTON' AND ground_service.airport_code = airport.airport_code AND ground_service.city_code = CITY_0.city_code | SELECT DISTINCT "ground_service"."transport_type" FROM "airport" JOIN "airport_service" ON "airport"."airport_code" = "airport_service"."airport_code" JOIN "ground_service" ON "airport"."airport_code" = "ground_service"."airport_code" JOIN "city" "CITY_0" ON "CITY_0"."city_code" = "ground_service"."city_code" AND "CITY_0"."city_name" = 'BOSTON' JOIN "city" "CITY_1" ON "CITY_1"."city_code" = "airport_service"."city_code" AND "CITY_1"."city_name" = 'BOSTON' | 0.448242 |
CREATE TABLE table_1205 ("Year" FLOAT, "Dates" CLOB, "Venue" CLOB, "Champion" CLOB, "Country" CLOB, "Score" FLOAT, "To par" CLOB, "Margin of victory" CLOB, "Runner ( s ) -up" CLOB, "Purse ( $ ) " FLOAT, "Winners share ( $ ) " FLOAT)
| Which countries won by 9 strokes? | SELECT "Country" FROM table_1205 WHERE "Margin of victory" = '9 strokes' | SELECT "Country" FROM "table_1205" WHERE "Margin of victory" = '9 strokes' | 0.072266 |
CREATE TABLE table_11677691_11 (position VARCHAR2, player VARCHAR2)
| How many positions does Greg Bryant play? | SELECT COUNT(position) FROM table_11677691_11 WHERE player = "Greg Bryant" | SELECT COUNT("position") FROM "table_11677691_11" WHERE "Greg Bryant" = "player" | 0.078125 |
CREATE TABLE table_203_573 (id NUMBER, "name" CLOB, "rank - 2000" NUMBER, "number" NUMBER, "country of origin" CLOB, "england - 2001" CLOB)
| what is the number of last names listed that have an english origin ? | SELECT COUNT("name") FROM table_203_573 WHERE "country of origin" = 'england' | SELECT COUNT("name") FROM "table_203_573" WHERE "country of origin" = 'england' | 0.077148 |
CREATE TABLE table_name_22 (away_team VARCHAR2, home_team VARCHAR2)
| What team played South Melbourne at their home game? | SELECT away_team FROM table_name_22 WHERE home_team = "south melbourne" | SELECT "away_team" FROM "table_name_22" WHERE "home_team" = "south melbourne" | 0.075195 |
CREATE TABLE table_61386 ("Draft" FLOAT, "Round" FLOAT, "Pick" FLOAT, "Player" CLOB, "Nationality" CLOB)
| What is the total number of rounds of the player with a pick of 20? | SELECT COUNT("Round") FROM table_61386 WHERE "Pick" = '20' | SELECT COUNT("Round") FROM "table_61386" WHERE "Pick" = '20' | 0.058594 |
CREATE TABLE diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
CREATE TABLE inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
CREATE TABLE 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 chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE transfers (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, eventtype CLOB, careunit CLOB, wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE prescriptions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, startdate TIME, enddate TIME, drug CLOB, dose_val_rx CLOB, dose_unit_rx CLOB, route CLOB)
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
CREATE TABLE outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
CREATE TABLE d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
CREATE TABLE microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
CREATE TABLE d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE icustays (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, first_careunit CLOB, last_careunit CLOB, first_wardid NUMBER, last_wardid NUMBER, intime TIME, outtime TIME)
| what is the name of the drug prescription that patient 64519 received within the same hospital visit after being diagnosed with preterm nec 2000-2499g? | SELECT t2.drug FROM (SELECT admissions.subject_id, diagnoses_icd.charttime, admissions.hadm_id FROM diagnoses_icd JOIN admissions ON diagnoses_icd.hadm_id = admissions.hadm_id WHERE admissions.subject_id = 64519 AND diagnoses_icd.icd9_code = (SELECT d_icd_diagnoses.icd9_code FROM d_icd_diagnoses WHERE d_icd_diagnoses.short_title = 'preterm nec 2000-2499g')) AS t1 JOIN (SELECT admissions.subject_id, prescriptions.drug, prescriptions.startdate, admissions.hadm_id FROM prescriptions JOIN admissions ON prescriptions.hadm_id = admissions.hadm_id WHERE admissions.subject_id = 64519) AS t2 ON t1.subject_id = t2.subject_id WHERE t1.charttime < t2.startdate AND t1.hadm_id = t2.hadm_id | WITH "t2" AS (SELECT "admissions"."subject_id", "prescriptions"."drug", "prescriptions"."startdate", "admissions"."hadm_id" FROM "prescriptions" JOIN "admissions" ON "admissions"."hadm_id" = "prescriptions"."hadm_id" AND "admissions"."subject_id" = 64519) SELECT "t2"."drug" FROM "diagnoses_icd" JOIN "d_icd_diagnoses" ON "d_icd_diagnoses"."icd9_code" = "diagnoses_icd"."icd9_code" AND "d_icd_diagnoses"."short_title" = 'preterm nec 2000-2499g' JOIN "admissions" ON "admissions"."hadm_id" = "diagnoses_icd"."hadm_id" AND "admissions"."subject_id" = 64519 JOIN "t2" "t2" ON "admissions"."hadm_id" = "t2"."hadm_id" AND "admissions"."subject_id" = "t2"."subject_id" AND "diagnoses_icd"."charttime" < "t2"."startdate" | 0.696289 |
CREATE TABLE table_15405904_1 (won NUMBER, team VARCHAR2)
| When the team is ypiranga-sp what is the number of won games? | SELECT MIN(won) FROM table_15405904_1 WHERE team = "Ypiranga-SP" | SELECT MIN("won") FROM "table_15405904_1" WHERE "Ypiranga-SP" = "team" | 0.068359 |
CREATE TABLE table_14937957_1 (martial_art_style VARCHAR2, city VARCHAR2)
| Which martial arts style was shown in Rio de Janeiro? | SELECT martial_art_style FROM table_14937957_1 WHERE city = "Rio de Janeiro" | SELECT "martial_art_style" FROM "table_14937957_1" WHERE "Rio de Janeiro" = "city" | 0.080078 |
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
| what is days of hospital stay of subject name paul edwards? | SELECT demographic.days_stay FROM demographic WHERE demographic.name = "Paul Edwards" | SELECT "demographic"."days_stay" FROM "demographic" WHERE "Paul Edwards" = "demographic"."name" | 0.092773 |
CREATE TABLE treatment (treatmentid NUMBER, patientunitstayid NUMBER, treatmentname CLOB, treatmenttime TIME)
CREATE TABLE diagnosis (diagnosisid NUMBER, patientunitstayid NUMBER, diagnosisname CLOB, diagnosistime TIME, icd9code CLOB)
CREATE TABLE 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 intakeoutput (intakeoutputid NUMBER, patientunitstayid NUMBER, cellpath CLOB, celllabel CLOB, cellvaluenumeric NUMBER, intakeoutputtime TIME)
CREATE TABLE lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime TIME)
CREATE TABLE 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 microlab (microlabid NUMBER, patientunitstayid NUMBER, culturesite CLOB, organism CLOB, culturetakentime TIME)
CREATE TABLE cost (costid NUMBER, uniquepid CLOB, patienthealthsystemstayid NUMBER, eventtype CLOB, eventid NUMBER, chargetime TIME, cost NUMBER)
| how many patients had received a electrolyte administration - calcium procedure two times during the last year? | 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 = 'electrolyte administration - calcium' AND DATETIME(treatment.treatmenttime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year')) 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" = 'electrolyte administration - calcium' AND DATETIME("treatment"."treatmenttime", 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year') GROUP BY "patient"."uniquepid") SELECT COUNT(DISTINCT "t1"."uniquepid") FROM "t1" "t1" WHERE "t1"."c1" = 2 | 0.442383 |
CREATE TABLE table_32527 ("Date" CLOB, "Tournament" CLOB, "Surface" CLOB, "Partner" CLOB, "Opponents in the final" CLOB, "Score" CLOB)
| What was the score when Mark parterned with lorenzo manta? | SELECT "Score" FROM table_32527 WHERE "Partner" = 'lorenzo manta' | SELECT "Score" FROM "table_32527" WHERE "Partner" = 'lorenzo manta' | 0.06543 |
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
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)
| count the number of patients whose age is less than 56 and drug code is sw100mlg? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.age < "56" AND prescriptions.formulary_drug_cd = "SW100MLG" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "prescriptions" ON "SW100MLG" = "prescriptions"."formulary_drug_cd" AND "demographic"."hadm_id" = "prescriptions"."hadm_id" WHERE "56" > "demographic"."age" | 0.224609 |
CREATE TABLE table_25548505_1 (title VARCHAR2, directed_by VARCHAR2)
| What is the title of the episode directed by Linda Mendoza? | SELECT title FROM table_25548505_1 WHERE directed_by = "Linda Mendoza" | SELECT "title" FROM "table_25548505_1" WHERE "Linda Mendoza" = "directed_by" | 0.074219 |
CREATE TABLE table_name_83 (country VARCHAR2, team VARCHAR2)
| What country is Relax-Gam from? | SELECT country FROM table_name_83 WHERE team = "relax-gam" | SELECT "country" FROM "table_name_83" WHERE "relax-gam" = "team" | 0.0625 |
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
| tell me the icu stay id of the patient with patient id 2560. | SELECT prescriptions.icustay_id FROM prescriptions WHERE prescriptions.subject_id = "2560" | SELECT "prescriptions"."icustay_id" FROM "prescriptions" WHERE "2560" = "prescriptions"."subject_id" | 0.097656 |
CREATE TABLE table_17931 ("Club" CLOB, "Australian Marquee" CLOB, "International Marquee" CLOB, "Junior Marquee player" CLOB, "Captain" CLOB, "Vice-Captain" CLOB)
| Name the international marquee for shane stefanutto | SELECT "International Marquee" FROM table_17931 WHERE "Vice-Captain" = 'Shane Stefanutto' | SELECT "International Marquee" FROM "table_17931" WHERE "Vice-Captain" = 'Shane Stefanutto' | 0.088867 |
CREATE TABLE table_5229 ("Year" FLOAT, "Entrant" CLOB, "Chassis" CLOB, "Engine" CLOB, "Tyres" CLOB, "Points" FLOAT)
| For a year earlier than 1991 and a reynard 91d chassis, what's the highest points? | SELECT MAX("Points") FROM table_5229 WHERE "Chassis" = 'reynard 91d' AND "Year" < '1991' | SELECT MAX("Points") FROM "table_5229" WHERE "Chassis" = 'reynard 91d' AND "Year" < '1991' | 0.087891 |
CREATE TABLE table_name_80 (tournament VARCHAR2)
| Which 2010 has a Tournament of australian open? | SELECT 2010 FROM table_name_80 WHERE tournament = "australian open" | SELECT 2010 FROM "table_name_80" WHERE "australian open" = "tournament" | 0.069336 |
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 patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
CREATE TABLE cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
CREATE TABLE chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
CREATE TABLE microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
CREATE TABLE outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
CREATE TABLE d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
CREATE TABLE 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 prescriptions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, startdate TIME, enddate TIME, drug CLOB, dose_val_rx CLOB, dose_unit_rx CLOB, route CLOB)
CREATE TABLE d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE transfers (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, eventtype CLOB, careunit CLOB, wardid NUMBER, intime TIME, outtime TIME)
| when was the first lap gastric restric proc done for patient 4718 until 3 years ago? | SELECT procedures_icd.charttime FROM procedures_icd WHERE procedures_icd.icd9_code = (SELECT d_icd_procedures.icd9_code FROM d_icd_procedures WHERE d_icd_procedures.short_title = 'lap gastric restric proc') AND procedures_icd.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 4718) AND DATETIME(procedures_icd.charttime) <= DATETIME(CURRENT_TIME(), '-3 year') ORDER BY procedures_icd.charttime LIMIT 1 | WITH "_u_1" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 4718 GROUP BY "hadm_id") SELECT "procedures_icd"."charttime" FROM "procedures_icd" JOIN "d_icd_procedures" ON "d_icd_procedures"."icd9_code" = "procedures_icd"."icd9_code" AND "d_icd_procedures"."short_title" = 'lap gastric restric proc' LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "procedures_icd"."hadm_id" WHERE DATETIME("procedures_icd"."charttime") <= DATETIME(CURRENT_TIME(), '-3 year') AND NOT "_u_1"."" IS NULL ORDER BY "procedures_icd"."charttime" FETCH FIRST 1 ROWS ONLY | 0.55957 |
CREATE TABLE table_20436 ("Result" CLOB, "Date" CLOB, "Race" CLOB, "Venue" CLOB, "Group" CLOB, "Distance" CLOB, "Weight ( kg ) " CLOB, "Time" CLOB, "Jockey" CLOB, "Winner/2nd" CLOB)
| Which horse won with a time of 1:35.98 and what was their position? | SELECT "Winner/2nd" FROM table_20436 WHERE "Time" = '1:35.98' | SELECT "Winner/2nd" FROM "table_20436" WHERE "Time" = '1:35.98' | 0.061523 |
CREATE TABLE table_name_56 (decision VARCHAR2, visitor VARCHAR2)
| What was the decision of the Lightning game when the Canadiens were the away team? | SELECT decision FROM table_name_56 WHERE visitor = "canadiens" | SELECT "decision" FROM "table_name_56" WHERE "canadiens" = "visitor" | 0.066406 |
CREATE TABLE table_1341865_37 (party VARCHAR2, incumbent VARCHAR2)
| To which party does Frank T. Bow belong? | SELECT party FROM table_1341865_37 WHERE incumbent = "Frank T. Bow" | SELECT "party" FROM "table_1341865_37" WHERE "Frank T. Bow" = "incumbent" | 0.071289 |
CREATE TABLE code_description (code VARCHAR2, description CLOB)
CREATE TABLE days (days_code VARCHAR2, day_name VARCHAR2)
CREATE TABLE time_zone (time_zone_code CLOB, time_zone_name CLOB, hours_from_gmt NUMBER)
CREATE TABLE 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 airline (airline_code VARCHAR2, airline_name CLOB, note CLOB)
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 airport (airport_code VARCHAR2, airport_name CLOB, airport_location CLOB, state_code VARCHAR2, country_name VARCHAR2, time_zone_code VARCHAR2, minimum_connect_time NUMBER)
CREATE TABLE aircraft (aircraft_code VARCHAR2, aircraft_description VARCHAR2, manufacturer VARCHAR2, basic_type VARCHAR2, engines NUMBER, propulsion VARCHAR2, wide_body VARCHAR2, wing_span NUMBER, length NUMBER, weight NUMBER, capacity NUMBER, pay_load NUMBER, cruising_speed NUMBER, range_miles NUMBER, pressurized VARCHAR2)
CREATE TABLE 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 equipment_sequence (aircraft_code_sequence VARCHAR2, aircraft_code VARCHAR2)
CREATE TABLE state (state_code CLOB, state_name CLOB, country_name CLOB)
CREATE TABLE time_interval (period CLOB, begin_time NUMBER, end_time NUMBER)
CREATE TABLE date_day (month_number NUMBER, day_number NUMBER, year NUMBER, day_name VARCHAR2)
CREATE TABLE dual_carrier (main_airline VARCHAR2, low_flight_number NUMBER, high_flight_number NUMBER, dual_airline VARCHAR2, service_name CLOB)
CREATE TABLE month (month_number NUMBER, month_name CLOB)
CREATE TABLE flight_fare (flight_id NUMBER, fare_id NUMBER)
CREATE TABLE airport_service (city_code VARCHAR2, airport_code VARCHAR2, miles_distant NUMBER, direction VARCHAR2, minutes_distant NUMBER)
CREATE TABLE flight_leg (flight_id NUMBER, leg_number NUMBER, leg_flight NUMBER)
CREATE TABLE compartment_class (compartment VARCHAR2, class_type VARCHAR2)
CREATE TABLE ground_service (city_code CLOB, airport_code CLOB, transport_type CLOB, ground_fare NUMBER)
CREATE TABLE 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_basis (fare_basis_code CLOB, booking_class CLOB, class_type CLOB, premium CLOB, economy CLOB, discounted CLOB, night CLOB, season CLOB, basis_days CLOB)
CREATE TABLE flight_stop (flight_id NUMBER, stop_number NUMBER, stop_days CLOB, stop_airport CLOB, arrival_time NUMBER, arrival_airline CLOB, arrival_flight_number NUMBER, departure_time NUMBER, departure_airline CLOB, departure_flight_number NUMBER, stop_time NUMBER)
| list nonstop flights on sunday from NEW YORK to LAS VEGAS and list nonstop flights on sunday from MEMPHIS to LAS VEGAS | SELECT DISTINCT flight.flight_id FROM airport_service AS AIRPORT_SERVICE_0, airport_service AS AIRPORT_SERVICE_1, airport_service AS AIRPORT_SERVICE_2, city AS CITY_0, city AS CITY_1, city AS CITY_2, date_day, days, flight WHERE ((CITY_2.city_code = AIRPORT_SERVICE_2.city_code AND CITY_2.city_name = 'LAS VEGAS' AND date_day.day_number = 27 AND date_day.month_number = 8 AND date_day.year = 1991 AND days.day_name = date_day.day_name AND flight.flight_days = days.days_code AND flight.to_airport = AIRPORT_SERVICE_2.airport_code) AND ((flight.from_airport = AIRPORT_SERVICE_0.airport_code AND CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'NEW YORK') OR (flight.from_airport = AIRPORT_SERVICE_1.airport_code AND CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'MEMPHIS'))) AND flight.stops = 0 | SELECT DISTINCT "flight"."flight_id" FROM "airport_service" "AIRPORT_SERVICE_0" CROSS JOIN "city" "CITY_1" JOIN "date_day" ON "date_day"."day_number" = 27 AND "date_day"."month_number" = 8 AND "date_day"."year" = 1991 JOIN "city" "CITY_0" ON ("AIRPORT_SERVICE_0"."city_code" = "CITY_0"."city_code" OR "CITY_1"."city_name" = 'MEMPHIS') AND ("CITY_0"."city_name" = 'NEW YORK' OR "CITY_1"."city_name" = 'MEMPHIS') JOIN "days" ON "date_day"."day_name" = "days"."day_name" JOIN "flight" ON ("AIRPORT_SERVICE_0"."airport_code" = "flight"."from_airport" OR "CITY_1"."city_name" = 'MEMPHIS') AND "days"."days_code" = "flight"."flight_days" AND "flight"."stops" = 0 JOIN "airport_service" "AIRPORT_SERVICE_1" ON ("AIRPORT_SERVICE_0"."airport_code" = "flight"."from_airport" OR "AIRPORT_SERVICE_1"."airport_code" = "flight"."from_airport") AND ("AIRPORT_SERVICE_0"."airport_code" = "flight"."from_airport" OR "AIRPORT_SERVICE_1"."city_code" = "CITY_1"."city_code") AND ("AIRPORT_SERVICE_0"."city_code" = "CITY_0"."city_code" OR "AIRPORT_SERVICE_1"."airport_code" = "flight"."from_airport") AND ("AIRPORT_SERVICE_0"."city_code" = "CITY_0"."city_code" OR "AIRPORT_SERVICE_1"."city_code" = "CITY_1"."city_code") AND ("AIRPORT_SERVICE_1"."airport_code" = "flight"."from_airport" OR "CITY_0"."city_name" = 'NEW YORK') AND ("AIRPORT_SERVICE_1"."city_code" = "CITY_1"."city_code" OR "CITY_0"."city_name" = 'NEW YORK') JOIN "airport_service" "AIRPORT_SERVICE_2" ON "AIRPORT_SERVICE_2"."airport_code" = "flight"."to_airport" JOIN "city" "CITY_2" ON "AIRPORT_SERVICE_2"."city_code" = "CITY_2"."city_code" AND "CITY_2"."city_name" = 'LAS VEGAS' | 1.584961 |
CREATE TABLE table_name_9 (player VARCHAR2, country VARCHAR2, place VARCHAR2)
| What player has The United States as the country, with t2 as the place? | SELECT player FROM table_name_9 WHERE country = "united states" AND place = "t2" | SELECT "player" FROM "table_name_9" WHERE "country" = "united states" AND "place" = "t2" | 0.085938 |
CREATE TABLE writes (paperid NUMBER, authorid NUMBER)
CREATE TABLE paper (paperid NUMBER, title VARCHAR2, venueid NUMBER, year NUMBER, numciting NUMBER, numcitedby NUMBER, journalid NUMBER)
CREATE TABLE field (fieldid NUMBER)
CREATE TABLE venue (venueid NUMBER, venuename VARCHAR2)
CREATE TABLE cite (citingpaperid NUMBER, citedpaperid NUMBER)
CREATE TABLE author (authorid NUMBER, authorname VARCHAR2)
CREATE TABLE keyphrase (keyphraseid NUMBER, keyphrasename VARCHAR2)
CREATE TABLE paperfield (fieldid NUMBER, paperid NUMBER)
CREATE TABLE dataset (datasetid NUMBER, datasetname VARCHAR2)
CREATE TABLE journal (journalid NUMBER, journalname VARCHAR2)
CREATE TABLE paperdataset (paperid NUMBER, datasetid NUMBER)
CREATE TABLE paperkeyphrase (paperid NUMBER, keyphraseid NUMBER)
| semantic parsing papers | SELECT DISTINCT paper.paperid FROM keyphrase, paper, paperkeyphrase WHERE keyphrase.keyphrasename = 'semantic parsing' AND paperkeyphrase.keyphraseid = keyphrase.keyphraseid AND paper.paperid = paperkeyphrase.paperid | SELECT DISTINCT "paper"."paperid" FROM "keyphrase" JOIN "paperkeyphrase" ON "keyphrase"."keyphraseid" = "paperkeyphrase"."keyphraseid" JOIN "paper" ON "paper"."paperid" = "paperkeyphrase"."paperid" WHERE "keyphrase"."keyphrasename" = 'semantic parsing' | 0.246094 |
CREATE TABLE table_name_1 (team_1 VARCHAR2)
| What's the 1st leg score when Team 1 was Gor Mahia? | SELECT 1 AS st_leg FROM table_name_1 WHERE team_1 = "gor mahia" | SELECT 1 AS "st_leg" FROM "table_name_1" WHERE "gor mahia" = "team_1" | 0.067383 |
CREATE TABLE semester (semester_id NUMBER, semester VARCHAR2, year NUMBER)
CREATE TABLE student (student_id NUMBER, lastname VARCHAR2, firstname VARCHAR2, program_id NUMBER, declare_major VARCHAR2, total_credit NUMBER, total_gpa FLOAT, entered_as VARCHAR2, admit_term NUMBER, predicted_graduation_semester NUMBER, degree VARCHAR2, minor VARCHAR2, internship VARCHAR2)
CREATE TABLE instructor (instructor_id NUMBER, name VARCHAR2, uniqname 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 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 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 course_prerequisite (pre_course_id NUMBER, course_id NUMBER)
CREATE TABLE program_course (program_id NUMBER, course_id NUMBER, workload NUMBER, category 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 offering_instructor (offering_instructor_id NUMBER, offering_id NUMBER, instructor_id NUMBER)
CREATE TABLE gsi (course_offering_id NUMBER, student_id NUMBER)
CREATE TABLE area (course_id NUMBER, area VARCHAR2)
CREATE TABLE course (course_id NUMBER, name VARCHAR2, department VARCHAR2, number VARCHAR2, credits VARCHAR2, advisory_requirement VARCHAR2, enforced_requirement VARCHAR2, description VARCHAR2, num_semesters NUMBER, num_enrolled NUMBER, has_discussion VARCHAR2, has_lab VARCHAR2, has_projects VARCHAR2, has_exams VARCHAR2, num_reviews NUMBER, clarity_score NUMBER, easiness_score NUMBER, helpfulness_score NUMBER)
CREATE TABLE program (program_id NUMBER, name VARCHAR2, college VARCHAR2, introduction VARCHAR2)
CREATE TABLE requirement (requirement_id NUMBER, requirement VARCHAR2, college VARCHAR2)
CREATE TABLE program_requirement (program_id NUMBER, category VARCHAR2, min_credit NUMBER, additional_req VARCHAR2)
| DENTHYG 220 had who for GSIs last semester ? | SELECT DISTINCT student.firstname, student.lastname FROM course INNER JOIN course_offering ON course.course_id = course_offering.course_id INNER JOIN gsi ON gsi.course_offering_id = course_offering.offering_id INNER JOIN student ON student.student_id = gsi.student_id INNER JOIN semester ON semester.semester_id = course_offering.semester WHERE course.department = 'DENTHYG' AND course.number = 220 AND semester.semester = 'FA' AND semester.year = 2015 | SELECT DISTINCT "student"."firstname", "student"."lastname" FROM "course" JOIN "course_offering" ON "course"."course_id" = "course_offering"."course_id" JOIN "gsi" ON "course_offering"."offering_id" = "gsi"."course_offering_id" JOIN "semester" ON "course_offering"."semester" = "semester"."semester_id" AND "semester"."semester" = 'FA' AND "semester"."year" = 2015 JOIN "student" ON "gsi"."student_id" = "student"."student_id" WHERE "course"."department" = 'DENTHYG' AND "course"."number" = 220 | 0.482422 |
CREATE TABLE table_59066 ("Shooter" CLOB, "Event" CLOB, "Rank points" CLOB, "Score points" CLOB, "Total" CLOB)
| What is the event where there are 10 score points? | SELECT "Event" FROM table_59066 WHERE "Score points" = '10' | SELECT "Event" FROM "table_59066" WHERE "Score points" = '10' | 0.05957 |
CREATE TABLE inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
CREATE TABLE cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE admissions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, admittime TIME, dischtime TIME, admission_type CLOB, admission_location CLOB, discharge_location CLOB, insurance CLOB, language CLOB, marital_status CLOB, ethnicity CLOB, age NUMBER)
CREATE TABLE d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
CREATE TABLE 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 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)
CREATE TABLE labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
CREATE TABLE diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE icustays (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, first_careunit CLOB, last_careunit CLOB, first_wardid NUMBER, last_wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE prescriptions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, startdate TIME, enddate TIME, drug CLOB, dose_val_rx CLOB, dose_unit_rx CLOB, route CLOB)
CREATE TABLE patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
CREATE TABLE procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
| what were the four most commonly given diagnoses for patients that had previously received a other pleural incision within 2 months, since 2102? | SELECT d_icd_diagnoses.short_title FROM d_icd_diagnoses WHERE d_icd_diagnoses.icd9_code IN (SELECT t3.icd9_code FROM (SELECT t2.icd9_code, DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS c1 FROM (SELECT admissions.subject_id, procedures_icd.charttime FROM procedures_icd JOIN admissions ON procedures_icd.hadm_id = admissions.hadm_id WHERE procedures_icd.icd9_code = (SELECT d_icd_procedures.icd9_code FROM d_icd_procedures WHERE d_icd_procedures.short_title = 'other pleural incision') AND STRFTIME('%y', procedures_icd.charttime) >= '2102') AS t1 JOIN (SELECT admissions.subject_id, diagnoses_icd.icd9_code, diagnoses_icd.charttime FROM diagnoses_icd JOIN admissions ON diagnoses_icd.hadm_id = admissions.hadm_id WHERE STRFTIME('%y', diagnoses_icd.charttime) >= '2102') AS t2 ON t1.subject_id = t2.subject_id WHERE t1.charttime < t2.charttime AND DATETIME(t2.charttime) BETWEEN DATETIME(t1.charttime) AND DATETIME(t1.charttime, '+2 month') GROUP BY t2.icd9_code) AS t3 WHERE t3.c1 <= 4) | WITH "t2" 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" WHERE STRFTIME('%y', "diagnoses_icd"."charttime") >= '2102'), "t3" AS (SELECT "t2"."icd9_code", DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS "c1" FROM "procedures_icd" JOIN "d_icd_procedures" ON "d_icd_procedures"."icd9_code" = "procedures_icd"."icd9_code" AND "d_icd_procedures"."short_title" = 'other pleural incision' JOIN "admissions" ON "admissions"."hadm_id" = "procedures_icd"."hadm_id" JOIN "t2" "t2" ON "admissions"."subject_id" = "t2"."subject_id" AND "procedures_icd"."charttime" < "t2"."charttime" AND DATETIME("procedures_icd"."charttime") <= DATETIME("t2"."charttime") AND DATETIME("procedures_icd"."charttime", '+2 month') >= DATETIME("t2"."charttime") WHERE STRFTIME('%y', "procedures_icd"."charttime") >= '2102' GROUP BY "t2"."icd9_code"), "_u_1" AS (SELECT "t3"."icd9_code" FROM "t3" "t3" WHERE "t3"."c1" <= 4 GROUP BY "icd9_code") SELECT "d_icd_diagnoses"."short_title" FROM "d_icd_diagnoses" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "d_icd_diagnoses"."icd9_code" WHERE NOT "_u_1"."" IS NULL | 1.178711 |
CREATE TABLE table_name_69 (height VARCHAR2, name VARCHAR2)
| How tall is Dylan Postl? | SELECT height FROM table_name_69 WHERE name = "dylan postl" | SELECT "height" FROM "table_name_69" WHERE "dylan postl" = "name" | 0.063477 |
CREATE TABLE table_train_107 ("id" NUMBER, "systolic_blood_pressure_sbp" NUMBER, "body_weight" FLOAT, "modified_hachinski_ischemia_scale" NUMBER, "diastolic_blood_pressure_dbp" NUMBER, "body_mass_index_bmi" FLOAT, "clinical_dementia_rating_cdr" FLOAT, "NOUSE" FLOAT)
| modified hachinski less than or equal to 4 | SELECT * FROM table_train_107 WHERE modified_hachinski_ischemia_scale <= 4 | SELECT * FROM "table_train_107" WHERE "modified_hachinski_ischemia_scale" <= 4 | 0.076172 |
CREATE TABLE appellations (No NUMBER, Appelation CLOB, County CLOB, State CLOB, Area CLOB, isAVA CLOB)
CREATE TABLE wine (No NUMBER, Grape CLOB, Winery CLOB, Appelation CLOB, State CLOB, Name CLOB, Year NUMBER, Price NUMBER, Score NUMBER, Cases NUMBER, Drink CLOB)
CREATE TABLE grapes (ID NUMBER, Grape CLOB, Color CLOB)
| Give me a bar chart for the number of area of each area | SELECT Area, COUNT(Area) FROM appellations GROUP BY Area | SELECT "Area", COUNT("Area") FROM "appellations" GROUP BY "Area" | 0.0625 |
CREATE TABLE Claims (Claim_ID NUMBER, Policy_ID NUMBER, Date_Claim_Made DATE, Date_Claim_Settled DATE, Amount_Claimed NUMBER, Amount_Settled NUMBER)
CREATE TABLE Customer_Policies (Policy_ID NUMBER, Customer_ID NUMBER, Policy_Type_Code CHAR, Start_Date DATE, End_Date DATE)
CREATE TABLE Customers (Customer_ID NUMBER, Customer_Details VARCHAR2)
CREATE TABLE Payments (Payment_ID NUMBER, Settlement_ID NUMBER, Payment_Method_Code VARCHAR2, Date_Payment_Made DATE, Amount_Payment NUMBER)
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)
| Which Payments were processed with Visa? List the date and the amount using a bar chart, list by the x axis from low to high please. | SELECT Date_Payment_Made, Amount_Payment FROM Payments WHERE Payment_Method_Code = 'Visa' ORDER BY Date_Payment_Made | SELECT "Date_Payment_Made", "Amount_Payment" FROM "Payments" WHERE "Payment_Method_Code" = 'Visa' ORDER BY "Date_Payment_Made" | 0.123047 |
CREATE TABLE table_19463 ("Rnd" FLOAT, "Race Name" CLOB, "Circuit" CLOB, "City/Location" CLOB, "Date" CLOB, "Pole position" CLOB, "Fastest lap" CLOB, "Winning driver" CLOB, "Winning team" CLOB, "Report" CLOB)
| how many winning team with circuit being road america | SELECT COUNT("Winning team") FROM table_19463 WHERE "Circuit" = 'Road America' | SELECT COUNT("Winning team") FROM "table_19463" WHERE "Circuit" = 'Road America' | 0.078125 |
CREATE TABLE table_55637 ("Home team" CLOB, "Home team score" CLOB, "Away team" CLOB, "Away team score" CLOB, "Venue" CLOB, "Crowd" FLOAT, "Date" CLOB)
| What size was the biggest crowd that watched the home team Hawthorn play? | SELECT MAX("Crowd") FROM table_55637 WHERE "Home team" = 'hawthorn' | SELECT MAX("Crowd") FROM "table_55637" WHERE "Home team" = 'hawthorn' | 0.067383 |
CREATE TABLE microlab (microlabid NUMBER, patientunitstayid NUMBER, culturesite CLOB, organism CLOB, culturetakentime TIME)
CREATE TABLE vitalperiodic (vitalperiodicid NUMBER, patientunitstayid NUMBER, temperature NUMBER, sao2 NUMBER, heartrate NUMBER, respiration NUMBER, systemicsystolic NUMBER, systemicdiastolic NUMBER, systemicmean NUMBER, observationtime TIME)
CREATE TABLE medication (medicationid NUMBER, patientunitstayid NUMBER, drugname CLOB, dosage CLOB, routeadmin CLOB, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE allergy (allergyid NUMBER, patientunitstayid NUMBER, drugname CLOB, allergyname CLOB, allergytime TIME)
CREATE TABLE diagnosis (diagnosisid NUMBER, patientunitstayid NUMBER, diagnosisname CLOB, diagnosistime TIME, icd9code CLOB)
CREATE TABLE 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 treatment (treatmentid NUMBER, patientunitstayid NUMBER, treatmentname CLOB, treatmenttime TIME)
CREATE TABLE intakeoutput (intakeoutputid NUMBER, patientunitstayid NUMBER, cellpath CLOB, celllabel CLOB, cellvaluenumeric NUMBER, intakeoutputtime TIME)
CREATE TABLE cost (costid NUMBER, uniquepid CLOB, patienthealthsystemstayid NUMBER, eventtype CLOB, eventid NUMBER, chargetime TIME, cost NUMBER)
| when was patient 028-70851 being prescribed with a medication for the first time until 12/2101? | SELECT medication.drugstarttime FROM medication WHERE medication.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '028-70851')) AND STRFTIME('%y-%m', medication.drugstarttime) <= '2101-12' ORDER BY medication.drugstarttime LIMIT 1 | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '028-70851' 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 "medication"."drugstarttime" FROM "medication" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "medication"."patientunitstayid" WHERE NOT "_u_1"."" IS NULL AND STRFTIME('%y-%m', "medication"."drugstarttime") <= '2101-12' ORDER BY "medication"."drugstarttime" FETCH FIRST 1 ROWS ONLY | 0.620117 |
CREATE TABLE table_16743 ("Race Name" CLOB, "Circuit" CLOB, "Date" CLOB, "Winning driver" CLOB, "Constructor" CLOB, "Report" CLOB)
| What race was held at Oulton Park? | SELECT "Race Name" FROM table_16743 WHERE "Circuit" = 'Oulton Park' | SELECT "Race Name" FROM "table_16743" WHERE "Circuit" = 'Oulton Park' | 0.067383 |
CREATE TABLE table_21720 ("Class" CLOB, "Part 1" CLOB, "Part 2" CLOB, "Part 3" CLOB, "Part 4" CLOB, "Verb meaning" CLOB)
| What class is the verb wich its part 4 is frosinn | SELECT "Class" FROM table_21720 WHERE "Part 4" = 'frosinn' | SELECT "Class" FROM "table_21720" WHERE "Part 4" = 'frosinn' | 0.058594 |
CREATE TABLE table_73436 ("Game" FLOAT, "Date" CLOB, "Opponent" CLOB, "Result" CLOB, "Cowboys points" FLOAT, "Opponents" FLOAT, "Record" CLOB)
| When did the Cowboys score 13 points in 1966? | SELECT "Date" FROM table_73436 WHERE "Cowboys points" = '13' | SELECT "Date" FROM "table_73436" WHERE "Cowboys points" = '13' | 0.060547 |
CREATE TABLE scientists (name VARCHAR2, SSN VARCHAR2)
CREATE TABLE projects (name VARCHAR2, code VARCHAR2, hours NUMBER)
CREATE TABLE assignedto (project VARCHAR2, scientist VARCHAR2)
| Find name of the project that needs the least amount of time to finish and the name of scientists who worked on it. | SELECT T2.name, T3.name FROM assignedto AS T1 JOIN projects AS T2 ON T1.project = T2.code JOIN scientists AS T3 ON T1.scientist = T3.SSN WHERE T2.hours = (SELECT MIN(hours) FROM projects) | SELECT "T2"."name", "T3"."name" FROM "assignedto" "T1" JOIN "projects" "T2" ON "T1"."project" = "T2"."code" AND "T2"."hours" = (SELECT MIN("hours") FROM "projects") JOIN "scientists" "T3" ON "T1"."scientist" = "T3"."SSN" | 0.214844 |
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 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 jobs (JOB_ID VARCHAR2, JOB_TITLE VARCHAR2, MIN_SALARY NUMBER, MAX_SALARY NUMBER)
CREATE TABLE regions (REGION_ID NUMBER, REGION_NAME VARCHAR2)
| For those employees who was hired before 2002-06-21, find hire_date and the amount of hire_date bin hire_date by weekday, and visualize them by a bar chart, order y-axis from high to low order. | SELECT HIRE_DATE, COUNT(HIRE_DATE) FROM employees WHERE HIRE_DATE < '2002-06-21' ORDER BY COUNT(HIRE_DATE) DESC | SELECT "HIRE_DATE", COUNT("HIRE_DATE") FROM "employees" WHERE "HIRE_DATE" < '2002-06-21' ORDER BY COUNT("HIRE_DATE") DESC | 0.118164 |
CREATE TABLE table_23925 ("Name" CLOB, "#" FLOAT, "Height" CLOB, "Weight" FLOAT, "Position" CLOB, "Year" CLOB, "Home Town" CLOB, "High School" CLOB)
| What is the high school for the player who's hometown is Blue Island, Il? | SELECT "High School" FROM table_23925 WHERE "Home Town" = 'Blue Island, IL' | SELECT "High School" FROM "table_23925" WHERE "Home Town" = 'Blue Island, IL' | 0.075195 |
CREATE TABLE table_78146 ("Date" CLOB, "Tournament" CLOB, "Location" CLOB, "Purse ( $ ) " FLOAT, "Winner" CLOB, "Score" CLOB, "1st Prize ( $ ) " FLOAT)
| What is the purse for the tournament with a winning score of 212 (-4), and a 1st prize of under $105,000? | SELECT MIN("Purse( $ )") FROM table_78146 WHERE "Score" = '212 (-4)' AND "1st Prize( $ )" < '105,000' | SELECT MIN("Purse( $ )") FROM "table_78146" WHERE "1st Prize( $ )" < '105,000' AND "Score" = '212 (-4)' | 0.100586 |
CREATE TABLE table_12893 ("Game" FLOAT, "Date" CLOB, "Opponent" CLOB, "Score" CLOB, "Location/Attendance" CLOB, "Record" CLOB, "Streak" CLOB)
| Which Streak has a Score of 98 109? | SELECT "Streak" FROM table_12893 WHERE "Score" = '98–109' | SELECT "Streak" FROM "table_12893" WHERE "Score" = '98–109' | 0.057617 |
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 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 offering_instructor (offering_instructor_id NUMBER, offering_id NUMBER, instructor_id NUMBER)
CREATE TABLE student (student_id NUMBER, lastname VARCHAR2, firstname VARCHAR2, program_id NUMBER, declare_major VARCHAR2, total_credit NUMBER, total_gpa FLOAT, entered_as VARCHAR2, admit_term NUMBER, predicted_graduation_semester NUMBER, degree VARCHAR2, minor VARCHAR2, internship VARCHAR2)
CREATE TABLE ta (campus_job_id NUMBER, student_id NUMBER, location VARCHAR2)
CREATE TABLE program_course (program_id NUMBER, course_id NUMBER, workload NUMBER, category VARCHAR2)
CREATE TABLE gsi (course_offering_id NUMBER, student_id NUMBER)
CREATE TABLE course (course_id NUMBER, name VARCHAR2, department VARCHAR2, number VARCHAR2, credits VARCHAR2, advisory_requirement VARCHAR2, enforced_requirement VARCHAR2, description VARCHAR2, num_semesters NUMBER, num_enrolled NUMBER, has_discussion VARCHAR2, has_lab VARCHAR2, has_projects VARCHAR2, has_exams VARCHAR2, num_reviews NUMBER, clarity_score NUMBER, easiness_score NUMBER, helpfulness_score NUMBER)
CREATE TABLE jobs (job_id NUMBER, job_title VARCHAR2, description VARCHAR2, requirement VARCHAR2, city VARCHAR2, state VARCHAR2, country VARCHAR2, zip NUMBER)
CREATE TABLE course_prerequisite (pre_course_id NUMBER, course_id NUMBER)
CREATE TABLE requirement (requirement_id NUMBER, requirement VARCHAR2, college VARCHAR2)
CREATE TABLE semester (semester_id NUMBER, semester VARCHAR2, year 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 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 area (course_id NUMBER, area VARCHAR2)
| Who exactly teaches courses that would satisfy my Core program requirement ? | SELECT DISTINCT instructor.name FROM instructor INNER JOIN offering_instructor ON offering_instructor.instructor_id = instructor.instructor_id INNER JOIN course_offering ON offering_instructor.offering_id = course_offering.offering_id INNER JOIN program_course ON program_course.course_id = course_offering.course_id INNER JOIN program ON program.program_id = program_course.program_id WHERE program.name LIKE '%Core%' | SELECT DISTINCT "instructor"."name" FROM "instructor" JOIN "offering_instructor" ON "instructor"."instructor_id" = "offering_instructor"."instructor_id" JOIN "course_offering" ON "course_offering"."offering_id" = "offering_instructor"."offering_id" JOIN "program_course" ON "course_offering"."course_id" = "program_course"."course_id" JOIN "program" ON "program"."name" LIKE '%Core%' AND "program"."program_id" = "program_course"."program_id" | 0.431641 |
CREATE TABLE d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE icustays (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, first_careunit CLOB, last_careunit CLOB, first_wardid NUMBER, last_wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE transfers (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, eventtype CLOB, careunit CLOB, wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE prescriptions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, startdate TIME, enddate TIME, drug CLOB, dose_val_rx CLOB, dose_unit_rx CLOB, route CLOB)
CREATE TABLE 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 microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
CREATE TABLE admissions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, admittime TIME, dischtime TIME, admission_type CLOB, admission_location CLOB, discharge_location CLOB, insurance CLOB, language CLOB, marital_status CLOB, ethnicity CLOB, age NUMBER)
CREATE TABLE outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
CREATE TABLE cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE 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 labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
| tell me patient 20801's minimum potassium, whole blood value in 10/2102? | SELECT MIN(labevents.valuenum) FROM labevents WHERE labevents.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 20801) AND labevents.itemid IN (SELECT d_labitems.itemid FROM d_labitems WHERE d_labitems.label = 'potassium, whole blood') AND STRFTIME('%y-%m', labevents.charttime) = '2102-10' | WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 20801 GROUP BY "hadm_id"), "_u_1" AS (SELECT "d_labitems"."itemid" FROM "d_labitems" WHERE "d_labitems"."label" = 'potassium, whole blood' GROUP BY "itemid") SELECT MIN("labevents"."valuenum") FROM "labevents" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "labevents"."hadm_id" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "labevents"."itemid" WHERE NOT "_u_0"."" IS NULL AND NOT "_u_1"."" IS NULL AND STRFTIME('%y-%m', "labevents"."charttime") = '2102-10' | 0.52832 |
CREATE TABLE table_59404 ("State" CLOB, "Born/Died" CLOB, "Active service" CLOB, "Chief Judge" CLOB, "Senior status" CLOB, "Appointed by" CLOB, "Reason for termination" CLOB)
| Which Reason for termination has Appointed by of eisenhower category:articles with hcards? | SELECT "Reason for termination" FROM table_59404 WHERE "Appointed by" = 'eisenhower category:articles with hcards' | SELECT "Reason for termination" FROM "table_59404" WHERE "Appointed by" = 'eisenhower category:articles with hcards' | 0.113281 |
CREATE TABLE has_allergy (stuid NUMBER, allergy CLOB)
CREATE TABLE allergy_type (allergy CLOB, allergytype CLOB)
CREATE TABLE student (stuid NUMBER, lname CLOB, fname CLOB, age NUMBER, sex CLOB, major NUMBER, advisor NUMBER, city_code CLOB)
| Show all ages and corresponding number of students. | SELECT age, COUNT(*) FROM student GROUP BY age | SELECT "age", COUNT(*) FROM "student" GROUP BY "age" | 0.050781 |
CREATE TABLE employees (first_name VARCHAR2, last_name VARCHAR2, hire_date VARCHAR2, department_id VARCHAR2)
| display the employee name ( first name and last name ) and hire date for all employees in the same department as Clara. | SELECT first_name, last_name, hire_date FROM employees WHERE department_id = (SELECT department_id FROM employees WHERE first_name = "Clara") | SELECT "first_name", "last_name", "hire_date" FROM "employees" WHERE "department_id" = (SELECT "department_id" FROM "employees" WHERE "Clara" = "first_name") | 0.15332 |
CREATE TABLE table_test_11 ("id" NUMBER, "left_ventricular_ejection_fraction_lvef" NUMBER, "systolic_blood_pressure_sbp" NUMBER, "tachycardia" NUMBER, "bradycardia" NUMBER, "renal_disease" BOOLEAN, "allergy_to_aspirin" BOOLEAN, "temperature" FLOAT, "creatinine_clearance_cl" FLOAT, "diastolic_blood_pressure_dbp" NUMBER, "hypotension" BOOLEAN, "serum_creatinine" FLOAT, "hypertension" BOOLEAN, "NOUSE" FLOAT)
| known lvef < 45 % | SELECT * FROM table_test_11 WHERE left_ventricular_ejection_fraction_lvef < 45 | SELECT * FROM "table_test_11" WHERE "left_ventricular_ejection_fraction_lvef" < 45 | 0.080078 |
CREATE TABLE days (days_code VARCHAR2, day_name VARCHAR2)
CREATE TABLE flight_leg (flight_id NUMBER, leg_number NUMBER, leg_flight NUMBER)
CREATE TABLE code_description (code VARCHAR2, description CLOB)
CREATE TABLE state (state_code CLOB, state_name CLOB, country_name CLOB)
CREATE TABLE date_day (month_number NUMBER, day_number NUMBER, year NUMBER, day_name VARCHAR2)
CREATE TABLE fare (fare_id NUMBER, from_airport VARCHAR2, to_airport VARCHAR2, fare_basis_code CLOB, fare_airline CLOB, restriction_code CLOB, one_direction_cost NUMBER, round_trip_cost NUMBER, round_trip_required VARCHAR2)
CREATE TABLE month (month_number NUMBER, month_name CLOB)
CREATE TABLE 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 time_interval (period CLOB, begin_time NUMBER, end_time NUMBER)
CREATE TABLE airline (airline_code VARCHAR2, airline_name CLOB, note CLOB)
CREATE TABLE airport_service (city_code VARCHAR2, airport_code VARCHAR2, miles_distant NUMBER, direction VARCHAR2, minutes_distant NUMBER)
CREATE TABLE class_of_service (booking_class VARCHAR2, rank NUMBER, class_description CLOB)
CREATE TABLE compartment_class (compartment VARCHAR2, class_type VARCHAR2)
CREATE TABLE 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 flight_fare (flight_id NUMBER, fare_id NUMBER)
CREATE TABLE ground_service (city_code CLOB, airport_code CLOB, transport_type CLOB, ground_fare NUMBER)
CREATE TABLE equipment_sequence (aircraft_code_sequence VARCHAR2, aircraft_code VARCHAR2)
CREATE TABLE city (city_code VARCHAR2, city_name VARCHAR2, state_code VARCHAR2, country_name VARCHAR2, time_zone_code VARCHAR2)
CREATE TABLE food_service (meal_code CLOB, meal_number NUMBER, compartment CLOB, meal_description VARCHAR2)
CREATE TABLE dual_carrier (main_airline VARCHAR2, low_flight_number NUMBER, high_flight_number NUMBER, dual_airline VARCHAR2, service_name CLOB)
CREATE TABLE time_zone (time_zone_code CLOB, time_zone_name CLOB, hours_from_gmt 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 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 restriction (restriction_code CLOB, advance_purchase NUMBER, stopovers CLOB, saturday_stay_required CLOB, minimum_stay NUMBER, maximum_stay NUMBER, application CLOB, no_discounts CLOB)
| list the AA flights from DALLAS to SAN FRANCISCO | 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 = 'SAN FRANCISCO' AND CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'DALLAS' AND flight.to_airport = AIRPORT_SERVICE_0.airport_code AND flight.from_airport = AIRPORT_SERVICE_1.airport_code) AND flight.airline_code = 'AA' | 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" = 'SAN FRANCISCO' JOIN "flight" ON "AIRPORT_SERVICE_0"."airport_code" = "flight"."to_airport" AND "flight"."airline_code" = 'AA' JOIN "airport_service" "AIRPORT_SERVICE_1" ON "AIRPORT_SERVICE_1"."airport_code" = "flight"."from_airport" JOIN "city" "CITY_1" ON "AIRPORT_SERVICE_1"."city_code" = "CITY_1"."city_code" AND "CITY_1"."city_name" = 'DALLAS' | 0.521484 |
CREATE TABLE table_name_13 (surface VARCHAR2, opponent VARCHAR2)
| WHich Surface has an Opponent of gustavo kuerten? | SELECT surface FROM table_name_13 WHERE opponent = "gustavo kuerten" | SELECT "surface" FROM "table_name_13" WHERE "gustavo kuerten" = "opponent" | 0.072266 |
CREATE TABLE table_78292 ("Disaster" CLOB, "Year" CLOB, "Countries Affected" CLOB, "Scale of Disaster" CLOB, "People Assisted" CLOB, "Nature of Help" CLOB)
| In the disaster in which 1,000 people were helped, what was the nature of help? | SELECT "Nature of Help" FROM table_78292 WHERE "People Assisted" = '1,000' | SELECT "Nature of Help" FROM "table_78292" WHERE "People Assisted" = '1,000' | 0.074219 |
CREATE TABLE table_9378 ("Game" FLOAT, "Date" CLOB, "Team" CLOB, "Score" CLOB, "High points" CLOB, "High assists" CLOB, "Location Attendance" CLOB, "Record" CLOB)
| How many games were on December 5? | SELECT SUM("Game") FROM table_9378 WHERE "Date" = 'december 5' | SELECT SUM("Game") FROM "table_9378" WHERE "Date" = 'december 5' | 0.0625 |
CREATE TABLE table_73271 ("English Name" CLOB, "Simplified" CLOB, "Traditional" CLOB, "Pinyin" CLOB, "Area" FLOAT, "Population" FLOAT, "Density" FLOAT)
| How many figures are there for density for Yucheng County? | SELECT COUNT("Density") FROM table_73271 WHERE "English Name" = 'Yucheng County' | SELECT COUNT("Density") FROM "table_73271" WHERE "English Name" = 'Yucheng County' | 0.080078 |
CREATE TABLE table_50802 ("Tie no" CLOB, "Home team" CLOB, "Score" CLOB, "Away team" CLOB, "Attendance" CLOB)
| What was the tie for the Crystal Palace team? | SELECT "Tie no" FROM table_50802 WHERE "Home team" = 'crystal palace' | SELECT "Tie no" FROM "table_50802" WHERE "Home team" = 'crystal palace' | 0.069336 |
CREATE TABLE table_11291 ("Team" CLOB, "Games Played" FLOAT, "Wins" FLOAT, "Losses" FLOAT, "Ties" FLOAT, "Goals For" FLOAT, "Goals Against" FLOAT)
| What is the sum of wins when the goals for number was bigger than 35, the team was the Montreal Hockey Club, and the number of losses was less than 2? | SELECT COUNT("Wins") FROM table_11291 WHERE "Goals For" > '35' AND "Team" = 'montreal hockey club' AND "Losses" < '2' | SELECT COUNT("Wins") FROM "table_11291" WHERE "Goals For" > '35' AND "Losses" < '2' AND "Team" = 'montreal hockey club' | 0.116211 |
CREATE TABLE table_10661 ("Round" FLOAT, "Overall" CLOB, "Player" CLOB, "Position" CLOB, "Nationality" CLOB, "Club team" CLOB)
| The Position of Centre is what Player? | SELECT "Player" FROM table_10661 WHERE "Position" = 'centre' | SELECT "Player" FROM "table_10661" WHERE "Position" = 'centre' | 0.060547 |
CREATE TABLE table_29489 ("No." FLOAT, "Title" CLOB, "Directed by" CLOB, "Written by" CLOB, "Original air date" CLOB, "Production code" CLOB, "U.S. viewers ( million ) " CLOB)
| Name who directed when the viewers is 5.86 | SELECT "Directed by" FROM table_29489 WHERE "U.S. viewers (million)" = '5.86' | SELECT "Directed by" FROM "table_29489" WHERE "U.S. viewers (million)" = '5.86' | 0.077148 |
CREATE TABLE table_37551 ("Date" CLOB, "City" CLOB, "Opponent" CLOB, "Results\\u00b9" CLOB, "Type of game" CLOB)
| What type of game was played in Ljubljana? | SELECT "Type of game" FROM table_37551 WHERE "City" = 'ljubljana' | SELECT "Type of game" FROM "table_37551" WHERE "City" = 'ljubljana' | 0.06543 |
CREATE TABLE table_name_58 (lost VARCHAR2, drawn VARCHAR2, points_against VARCHAR2)
| What is the lost number for the team with 2 drawn games, and 572 points against? | SELECT lost FROM table_name_58 WHERE drawn = "2" AND points_against = "572" | SELECT "lost" FROM "table_name_58" WHERE "2" = "drawn" AND "572" = "points_against" | 0.081055 |
CREATE TABLE table_11604804_5 (founded NUMBER, nickname VARCHAR2)
| What is the founding of parsu cimmarons? | SELECT MIN(founded) FROM table_11604804_5 WHERE nickname = "ParSU Cimmarons" | SELECT MIN("founded") FROM "table_11604804_5" WHERE "ParSU Cimmarons" = "nickname" | 0.080078 |
CREATE TABLE table_203_277 (id NUMBER, "entered" NUMBER, "wrestler" CLOB, "place" CLOB, "eliminated by" CLOB, "time" CLOB)
| alex shelly and robert roode had the same time as which other wrestler ? | SELECT "wrestler" FROM table_203_277 WHERE "wrestler" <> 'alex shelley' AND "wrestler" <> 'robert roode' AND "time" = (SELECT "time" FROM table_203_277 WHERE "wrestler" = 'robert roode') | SELECT "wrestler" FROM "table_203_277" WHERE "time" = (SELECT "time" FROM "table_203_277" WHERE "wrestler" = 'robert roode') AND "wrestler" <> 'alex shelley' AND "wrestler" <> 'robert roode' | 0.185547 |
CREATE TABLE microlab (microlabid NUMBER, patientunitstayid NUMBER, culturesite CLOB, organism CLOB, culturetakentime TIME)
CREATE TABLE vitalperiodic (vitalperiodicid NUMBER, patientunitstayid NUMBER, temperature NUMBER, sao2 NUMBER, heartrate NUMBER, respiration NUMBER, systemicsystolic NUMBER, systemicdiastolic NUMBER, systemicmean NUMBER, observationtime TIME)
CREATE TABLE medication (medicationid NUMBER, patientunitstayid NUMBER, drugname CLOB, dosage CLOB, routeadmin CLOB, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE allergy (allergyid NUMBER, patientunitstayid NUMBER, drugname CLOB, allergyname CLOB, allergytime TIME)
CREATE TABLE diagnosis (diagnosisid NUMBER, patientunitstayid NUMBER, diagnosisname CLOB, diagnosistime TIME, icd9code CLOB)
CREATE TABLE 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 treatment (treatmentid NUMBER, patientunitstayid NUMBER, treatmentname CLOB, treatmenttime TIME)
CREATE TABLE intakeoutput (intakeoutputid NUMBER, patientunitstayid NUMBER, cellpath CLOB, celllabel CLOB, cellvaluenumeric NUMBER, intakeoutputtime TIME)
CREATE TABLE cost (costid NUMBER, uniquepid CLOB, patienthealthsystemstayid NUMBER, eventtype CLOB, eventid NUMBER, chargetime TIME, cost NUMBER)
| what is the average total cost for the hospital involving a procedure called implantation of rvad since 2100? | SELECT AVG(t1.c1) FROM (SELECT SUM(cost.cost) AS c1 FROM cost WHERE cost.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.patientunitstayid IN (SELECT treatment.patientunitstayid FROM treatment WHERE treatment.treatmentname = 'implantation of rvad')) AND STRFTIME('%y', cost.chargetime) >= '2100' GROUP BY cost.patienthealthsystemstayid) AS t1 | WITH "_u_0" AS (SELECT "treatment"."patientunitstayid" FROM "treatment" WHERE "treatment"."treatmentname" = 'implantation of rvad' GROUP BY "patientunitstayid"), "_u_1" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "patient"."patientunitstayid" WHERE NOT "_u_0"."" IS NULL GROUP BY "patienthealthsystemstayid"), "t1" AS (SELECT SUM("cost"."cost") AS "c1" FROM "cost" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "cost"."patienthealthsystemstayid" WHERE NOT "_u_1"."" IS NULL AND STRFTIME('%y', "cost"."chargetime") >= '2100' GROUP BY "cost"."patienthealthsystemstayid") SELECT AVG("t1"."c1") FROM "t1" "t1" | 0.641602 |
CREATE TABLE table_18060 ("Country" CLOB, "Population" FLOAT, "Native American" CLOB, "Whites" CLOB, "s Mestizo" CLOB, "es Mulatto" CLOB, "Blacks" CLOB, "s Zambo" CLOB, "Asians" CLOB)
| what's the s mestizo with asians being 0.2% and whites being 74.8% | SELECT "s Mestizo" FROM table_18060 WHERE "Asians" = '0.2%' AND "Whites" = '74.8%' | SELECT "s Mestizo" FROM "table_18060" WHERE "Asians" = '0.2%' AND "Whites" = '74.8%' | 0.082031 |
CREATE TABLE table_79446 ("Year" FLOAT, "Program" CLOB, "Role" CLOB, "Episode" CLOB, "First aired" CLOB)
| What's the episode of Batman? | SELECT "Episode" FROM table_79446 WHERE "Program" = 'batman' | SELECT "Episode" FROM "table_79446" WHERE "Program" = 'batman' | 0.060547 |
CREATE TABLE table_61908 ("Place" CLOB, "Player" CLOB, "Country" CLOB, "Score" CLOB, "To par" CLOB)
| What place is the player with score of 70-68-70=208 from? | SELECT "Place" FROM table_61908 WHERE "Score" = '70-68-70=208' | SELECT "Place" FROM "table_61908" WHERE "Score" = '70-68-70=208' | 0.0625 |
CREATE TABLE table_48100 ("Rider" CLOB, "Manufacturer" CLOB, "Laps" FLOAT, "Time/Retired" CLOB, "Grid" FLOAT)
| How many Laps have a Time/Retired of +1:42.517, and a Grid larger than 33? | SELECT COUNT("Laps") FROM table_48100 WHERE "Time/Retired" = '+1:42.517' AND "Grid" > '33' | SELECT COUNT("Laps") FROM "table_48100" WHERE "Grid" > '33' AND "Time/Retired" = '+1:42.517' | 0.089844 |
CREATE TABLE table_70455 ("Year" FLOAT, "Chassis" CLOB, "Engine" CLOB, "Tyres" CLOB, "Points" FLOAT)
| Name the year for points less than 20 and chassis of dallara 3087 | SELECT "Year" FROM table_70455 WHERE "Points" < '20' AND "Chassis" = 'dallara 3087' | SELECT "Year" FROM "table_70455" WHERE "Chassis" = 'dallara 3087' AND "Points" < '20' | 0.083008 |
CREATE TABLE table_name_25 (year VARCHAR2, displacement_cc VARCHAR2, type VARCHAR2, engine VARCHAR2)
| What year was the Grand Prix with an i8 engine and a cc displacement of 1500? | SELECT year FROM table_name_25 WHERE type = "grand prix" AND engine = "i8" AND displacement_cc = "1500" | SELECT "year" FROM "table_name_25" WHERE "1500" = "displacement_cc" AND "engine" = "i8" AND "grand prix" = "type" | 0.110352 |
CREATE TABLE table_45222 ("Official Name" CLOB, "Status" CLOB, "Area km 2" FLOAT, "Population" FLOAT, "Census Ranking" CLOB)
| What is the Population of the Town with a Census Ranking of 1,379 of 5,008 and an Area km 2 smaller than 8.35? | SELECT MAX("Population") FROM table_45222 WHERE "Status" = 'town' AND "Census Ranking" = '1,379 of 5,008' AND "Area km 2" < '8.35' | SELECT MAX("Population") FROM "table_45222" WHERE "Area km 2" < '8.35' AND "Census Ranking" = '1,379 of 5,008' AND "Status" = 'town' | 0.128906 |
Subsets and Splits