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CREATE TABLE table_name_25 (round VARCHAR2, name VARCHAR2)
| How many rounds had a race name of anglia tv trophy? | SELECT COUNT(round) FROM table_name_25 WHERE name = "anglia tv trophy" | SELECT COUNT("round") FROM "table_name_25" WHERE "anglia tv trophy" = "name" | 0.074219 |
CREATE TABLE table_35123 ("Call sign" CLOB, "Frequency MHz" FLOAT, "City of license" CLOB, "ERP W" FLOAT, "Class" CLOB, "FCC info" CLOB)
| What is the ERP W of a Frequency MHz greater than 89.5 in the city of Washburn, Texas? | SELECT "ERP W" FROM table_35123 WHERE "Frequency MHz" > '89.5' AND "City of license" = 'washburn, texas' | SELECT "ERP W" FROM "table_35123" WHERE "City of license" = 'washburn, texas' AND "Frequency MHz" > '89.5' | 0.103516 |
CREATE TABLE table_171236_2 (official_name VARCHAR2, area_km_2 VARCHAR2)
| What's the official name of the place with an Area KM 2 of 295.07 | SELECT official_name FROM table_171236_2 WHERE area_km_2 = "295.07" | SELECT "official_name" FROM "table_171236_2" WHERE "295.07" = "area_km_2" | 0.071289 |
CREATE TABLE table_name_25 (department VARCHAR2, qualification VARCHAR2)
| What department has an m.phil (physics) qualification? | SELECT department FROM table_name_25 WHERE qualification = "m.phil (physics)" | SELECT "department" FROM "table_name_25" WHERE "m.phil (physics)" = "qualification" | 0.081055 |
CREATE TABLE table_20255 ("English country name" CLOB, "Arabic romanised country name" CLOB, "Arabic country name" CLOB, "English capital name" CLOB, "Arabic romanised capital name" CLOB, "Arabic capital name" CLOB)
| what is the arabic capital name wher the english capital name is manama? | SELECT "Arabic capital name" FROM table_20255 WHERE "English capital name" = 'Manama' | SELECT "Arabic capital name" FROM "table_20255" WHERE "English capital name" = 'Manama' | 0.084961 |
CREATE TABLE program (program_id NUMBER, name VARCHAR2, college VARCHAR2, introduction VARCHAR2)
CREATE TABLE student (student_id NUMBER, lastname VARCHAR2, firstname VARCHAR2, program_id NUMBER, declare_major VARCHAR2, total_credit NUMBER, total_gpa FLOAT, entered_as VARCHAR2, admit_term NUMBER, predicted_graduation_semester NUMBER, degree VARCHAR2, minor VARCHAR2, internship VARCHAR2)
CREATE TABLE instructor (instructor_id NUMBER, name VARCHAR2, uniqname VARCHAR2)
CREATE TABLE gsi (course_offering_id NUMBER, student_id NUMBER)
CREATE TABLE requirement (requirement_id NUMBER, requirement VARCHAR2, college VARCHAR2)
CREATE TABLE comment_instructor (instructor_id NUMBER, student_id NUMBER, score NUMBER, comment_text VARCHAR2)
CREATE TABLE program_requirement (program_id NUMBER, category VARCHAR2, min_credit NUMBER, additional_req VARCHAR2)
CREATE TABLE course_prerequisite (pre_course_id NUMBER, course_id 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 area (course_id NUMBER, area 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 semester (semester_id NUMBER, semester VARCHAR2, year NUMBER)
CREATE TABLE offering_instructor (offering_instructor_id NUMBER, offering_id NUMBER, instructor_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 jobs (job_id NUMBER, job_title VARCHAR2, description VARCHAR2, requirement VARCHAR2, city VARCHAR2, state VARCHAR2, country VARCHAR2, zip 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 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)
| What MDE classes are offered next semester ? | SELECT DISTINCT course.department, course.name, course.number FROM course, course_offering, program, program_course, semester WHERE course.course_id = course_offering.course_id AND program_course.category LIKE '%MDE%' AND program_course.course_id = course.course_id AND program.name LIKE '%CS-LSA%' AND program.program_id = program_course.program_id AND semester.semester = 'FA' AND semester.semester_id = course_offering.semester AND semester.year = 2016 | SELECT DISTINCT "course"."department", "course"."name", "course"."number" FROM "course" JOIN "course_offering" ON "course"."course_id" = "course_offering"."course_id" JOIN "program_course" ON "course"."course_id" = "program_course"."course_id" AND "program_course"."category" LIKE '%MDE%' JOIN "program" ON "program"."name" LIKE '%CS-LSA%' AND "program"."program_id" = "program_course"."program_id" JOIN "semester" ON "course_offering"."semester" = "semester"."semester_id" AND "semester"."semester" = 'FA' AND "semester"."year" = 2016 | 0.522461 |
CREATE TABLE table_name_42 (winning_score VARCHAR2, runner_s__up VARCHAR2, margin_of_victory VARCHAR2)
| What was the winning score when the runner-up was Beth Daniel and the margin of victory was 7 strokes? | SELECT winning_score FROM table_name_42 WHERE runner_s__up = "beth daniel" AND margin_of_victory = "7 strokes" | SELECT "winning_score" FROM "table_name_42" WHERE "7 strokes" = "margin_of_victory" AND "beth daniel" = "runner_s__up" | 0.115234 |
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
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)
| Bring me the list of patients less than 79 years old who are diagnosed wth human immunodeficiency virus disease. | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.age < "79" AND diagnoses.short_title = "Human immuno virus dis" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "Human immuno virus dis" = "diagnoses"."short_title" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" WHERE "79" > "demographic"."age" | 0.220703 |
CREATE TABLE table_name_96 (decision VARCHAR2, visitor VARCHAR2, date VARCHAR2)
| What was the decision of the game with Washington as the visitor team on October 13? | SELECT decision FROM table_name_96 WHERE visitor = "washington" AND date = "october 13" | SELECT "decision" FROM "table_name_96" WHERE "date" = "october 13" AND "visitor" = "washington" | 0.092773 |
CREATE TABLE table_20914 ("Central Forest Reserve" CLOB, "Size in km\\u00b2" FLOAT, "Total plant species" FLOAT, "Tree species" FLOAT, "Endemic" FLOAT, "Threatened ( CR , VU , EN ) " FLOAT)
| How many tree species are there when the total plant species is 113? | SELECT COUNT("Tree species") FROM table_20914 WHERE "Total plant species" = '113' | SELECT COUNT("Tree species") FROM "table_20914" WHERE "Total plant species" = '113' | 0.081055 |
CREATE TABLE table_29150 ("Common Name" CLOB, "Genus & Species" CLOB, "NCBI Accession Number" CLOB, "Length ( AA ) " FLOAT, "% Identity to C7orf38" FLOAT, "% Similarity to C7orf38" FLOAT)
| What is the length (AA) of the animal whose NCBI accession number is CAM15594.1? | SELECT MIN("Length (AA)") FROM table_29150 WHERE "NCBI Accession Number" = 'CAM15594.1' | SELECT MIN("Length (AA)") FROM "table_29150" WHERE "NCBI Accession Number" = 'CAM15594.1' | 0.086914 |
CREATE TABLE table_70006 ("Nat." CLOB, "Name" CLOB, "Since" FLOAT, "App ( GS/Sub ) " CLOB, "Goals" FLOAT, "Transfer fee" CLOB)
| Tell what has the App(GS/Sub) of 14 (8/6) | SELECT "Name" FROM table_70006 WHERE "App(GS/Sub)" = '14 (8/6)' | SELECT "Name" FROM "table_70006" WHERE "App(GS/Sub)" = '14 (8/6)' | 0.063477 |
CREATE TABLE Products (Code NUMBER, Name VARCHAR2, Price NUMBER, Manufacturer NUMBER)
CREATE TABLE Manufacturers (Code NUMBER, Name VARCHAR2, Headquarter VARCHAR2, Founder VARCHAR2, Revenue FLOAT)
| For those records from the products and each product's manufacturer, visualize a bar chart about the distribution of name and the average of manufacturer , and group by attribute name, and order y-axis in descending order. | SELECT T1.Name, T1.Manufacturer FROM Products AS T1 JOIN Manufacturers AS T2 ON T1.Manufacturer = T2.Code GROUP BY T1.Name ORDER BY T1.Manufacturer DESC | SELECT "T1"."Name", "T1"."Manufacturer" FROM "Products" "T1" JOIN "Manufacturers" "T2" ON "T1"."Manufacturer" = "T2"."Code" GROUP BY "T1"."Name" ORDER BY "T1"."Manufacturer" DESC | 0.173828 |
CREATE TABLE table_name_79 (snatch NUMBER, total__kg_ NUMBER)
| How much Snatch has a Total (kg) smaller than 257? | SELECT SUM(snatch) FROM table_name_79 WHERE total__kg_ < 257 | SELECT SUM("snatch") FROM "table_name_79" WHERE "total__kg_" < 257 | 0.064453 |
CREATE TABLE table_62948 ("Rank" FLOAT, "Rowers" CLOB, "Country" CLOB, "Time" CLOB, "Notes" CLOB)
| What is the time with FB notes for Canada? | SELECT "Time" FROM table_62948 WHERE "Notes" = 'fb' AND "Country" = 'canada' | SELECT "Time" FROM "table_62948" WHERE "Country" = 'canada' AND "Notes" = 'fb' | 0.076172 |
CREATE TABLE behavior_incident (incident_id NUMBER, incident_type_code CLOB, student_id NUMBER, date_incident_start TIME, date_incident_end TIME, incident_summary CLOB, recommendations CLOB, other_details CLOB)
CREATE TABLE students_in_detention (student_id NUMBER, detention_id NUMBER, incident_id NUMBER)
CREATE TABLE assessment_notes (notes_id NUMBER, student_id NUMBER, teacher_id NUMBER, date_of_notes TIME, text_of_notes CLOB, other_details CLOB)
CREATE TABLE student_addresses (student_id NUMBER, address_id NUMBER, date_address_from TIME, date_address_to TIME, monthly_rental NUMBER, other_details CLOB)
CREATE TABLE ref_address_types (address_type_code CLOB, address_type_description CLOB)
CREATE TABLE ref_detention_type (detention_type_code CLOB, detention_type_description CLOB)
CREATE TABLE addresses (address_id NUMBER, line_1 CLOB, line_2 CLOB, line_3 CLOB, city CLOB, zip_postcode CLOB, state_province_county CLOB, country CLOB, other_address_details CLOB)
CREATE TABLE teachers (teacher_id NUMBER, address_id NUMBER, first_name CLOB, middle_name CLOB, last_name CLOB, gender CLOB, cell_mobile_number CLOB, email_address CLOB, other_details CLOB)
CREATE TABLE students (student_id NUMBER, address_id NUMBER, first_name CLOB, middle_name CLOB, last_name CLOB, cell_mobile_number CLOB, email_address CLOB, date_first_rental TIME, date_left_university TIME, other_student_details CLOB)
CREATE TABLE detention (detention_id NUMBER, detention_type_code CLOB, teacher_id NUMBER, datetime_detention_start TIME, datetime_detention_end TIME, detention_summary CLOB, other_details CLOB)
CREATE TABLE ref_incident_type (incident_type_code CLOB, incident_type_description CLOB)
| How many distinct students have been in detention? | SELECT COUNT(DISTINCT student_id) FROM students_in_detention | SELECT COUNT(DISTINCT "student_id") FROM "students_in_detention" | 0.0625 |
CREATE TABLE table_24334 ("Year" FLOAT, "Date" CLOB, "Driver" CLOB, "Team" CLOB, "Manufacturer" CLOB, "Laps" CLOB, "Miles ( km ) " CLOB, "Race Time" CLOB, "Average Speed ( mph ) " CLOB, "Report" CLOB)
| Name the team for june 20 | SELECT "Team" FROM table_24334 WHERE "Date" = 'June 20' | SELECT "Team" FROM "table_24334" WHERE "Date" = 'June 20' | 0.055664 |
CREATE TABLE table_204_74 (id NUMBER, "#" NUMBER, "title" CLOB, "producers" CLOB, "guest performers" CLOB, "length" CLOB)
| how long is the longest track on the album ? | SELECT MAX("length") FROM table_204_74 | SELECT MAX("length") FROM "table_204_74" | 0.039063 |
CREATE TABLE table_262508_1 (joined VARCHAR2, enrollment VARCHAR2, location VARCHAR2)
| How many joined when the enrollment was 1150 in Sioux City, Iowa? | SELECT joined FROM table_262508_1 WHERE enrollment = 1150 AND location = "Sioux City, Iowa" | SELECT "joined" FROM "table_262508_1" WHERE "Sioux City, Iowa" = "location" AND "enrollment" = 1150 | 0.09668 |
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 cost (costid NUMBER, uniquepid CLOB, patienthealthsystemstayid NUMBER, eventtype CLOB, eventid NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE vitalperiodic (vitalperiodicid NUMBER, patientunitstayid NUMBER, temperature NUMBER, sao2 NUMBER, heartrate NUMBER, respiration NUMBER, systemicsystolic NUMBER, systemicdiastolic NUMBER, systemicmean NUMBER, observationtime TIME)
CREATE TABLE medication (medicationid NUMBER, patientunitstayid NUMBER, drugname CLOB, dosage CLOB, routeadmin CLOB, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE diagnosis (diagnosisid NUMBER, patientunitstayid NUMBER, diagnosisname CLOB, diagnosistime TIME, icd9code CLOB)
CREATE TABLE 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 treatment (treatmentid NUMBER, patientunitstayid NUMBER, treatmentname CLOB, treatmenttime TIME)
CREATE TABLE microlab (microlabid NUMBER, patientunitstayid NUMBER, culturesite CLOB, organism CLOB, culturetakentime TIME)
| had patient 007-6603 been diagnosed as traumatic injury to major vessels - r carotid artery in 2105? | SELECT COUNT(*) > 0 FROM diagnosis WHERE diagnosis.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '007-6603')) AND diagnosis.diagnosisname = 'traumatic injury to major vessels - r carotid artery' AND STRFTIME('%y', diagnosis.diagnosistime) = '2105' | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '007-6603' GROUP BY "patienthealthsystemstayid"), "_u_1" AS (SELECT "patient"."patientunitstayid" FROM "patient" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "patient"."patienthealthsystemstayid" WHERE NOT "_u_0"."" IS NULL GROUP BY "patientunitstayid") SELECT COUNT(*) > 0 FROM "diagnosis" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "diagnosis"."patientunitstayid" WHERE "diagnosis"."diagnosisname" = 'traumatic injury to major vessels - r carotid artery' AND NOT "_u_1"."" IS NULL AND STRFTIME('%y', "diagnosis"."diagnosistime") = '2105' | 0.620117 |
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 lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime TIME)
CREATE TABLE medication (medicationid NUMBER, patientunitstayid NUMBER, drugname CLOB, dosage CLOB, routeadmin CLOB, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE 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 vitalperiodic (vitalperiodicid NUMBER, patientunitstayid NUMBER, temperature NUMBER, sao2 NUMBER, heartrate NUMBER, respiration NUMBER, systemicsystolic NUMBER, systemicdiastolic NUMBER, systemicmean NUMBER, observationtime TIME)
CREATE TABLE microlab (microlabid NUMBER, patientunitstayid NUMBER, culturesite CLOB, organism CLOB, culturetakentime TIME)
CREATE TABLE cost (costid NUMBER, uniquepid CLOB, patienthealthsystemstayid NUMBER, eventtype CLOB, eventid NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE allergy (allergyid NUMBER, patientunitstayid NUMBER, drugname CLOB, allergyname CLOB, allergytime TIME)
CREATE TABLE intakeoutput (intakeoutputid NUMBER, patientunitstayid NUMBER, cellpath CLOB, celllabel CLOB, cellvaluenumeric NUMBER, intakeoutputtime TIME)
| what is the first ward id patient 006-103228 got in their first hospital visit. | SELECT patient.wardid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '006-103228' AND NOT patient.hospitaldischargetime IS NULL ORDER BY patient.hospitaladmittime LIMIT 1) ORDER BY patient.unitadmittime LIMIT 1 | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '006-103228' AND NOT "patient"."hospitaldischargetime" IS NULL GROUP BY "patienthealthsystemstayid" ORDER BY "patient"."hospitaladmittime" FETCH FIRST 1 ROWS ONLY) SELECT "patient"."wardid" FROM "patient" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "patient"."patienthealthsystemstayid" WHERE NOT "_u_0"."" IS NULL ORDER BY "patient"."unitadmittime" FETCH FIRST 1 ROWS ONLY | 0.462891 |
CREATE TABLE table_16323766_3 (evening_gown VARCHAR2, preliminary_average VARCHAR2)
| What was the evening gown score for the one who had a preliminary average of 8.121 (8)? | SELECT evening_gown FROM table_16323766_3 WHERE preliminary_average = "8.121 (8)" | SELECT "evening_gown" FROM "table_16323766_3" WHERE "8.121 (8)" = "preliminary_average" | 0.084961 |
CREATE TABLE repair (repair_ID NUMBER, name CLOB, Launch_Date CLOB, Notes CLOB)
CREATE TABLE repair_assignment (technician_id NUMBER, repair_ID NUMBER, Machine_ID NUMBER)
CREATE TABLE technician (technician_id FLOAT, Name CLOB, Team CLOB, Starting_Year FLOAT, Age NUMBER)
CREATE TABLE machine (Machine_ID NUMBER, Making_Year NUMBER, Class CLOB, Team CLOB, Machine_series CLOB, value_points FLOAT, quality_rank NUMBER)
| Show different teams of technicians and the number of technicians in each team, show by the total number in descending. | SELECT Team, COUNT(*) FROM technician GROUP BY Team ORDER BY COUNT(*) DESC | SELECT "Team", COUNT(*) FROM "technician" GROUP BY "Team" ORDER BY COUNT(*) DESC | 0.078125 |
CREATE TABLE code_description (code VARCHAR2, description 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 food_service (meal_code CLOB, meal_number NUMBER, compartment CLOB, meal_description VARCHAR2)
CREATE TABLE time_interval (period CLOB, begin_time NUMBER, end_time NUMBER)
CREATE TABLE month (month_number NUMBER, month_name CLOB)
CREATE TABLE fare (fare_id NUMBER, from_airport VARCHAR2, to_airport VARCHAR2, fare_basis_code CLOB, fare_airline CLOB, restriction_code CLOB, one_direction_cost NUMBER, round_trip_cost NUMBER, round_trip_required VARCHAR2)
CREATE TABLE airline (airline_code VARCHAR2, airline_name CLOB, note CLOB)
CREATE TABLE equipment_sequence (aircraft_code_sequence VARCHAR2, aircraft_code VARCHAR2)
CREATE TABLE flight_leg (flight_id NUMBER, leg_number NUMBER, leg_flight NUMBER)
CREATE TABLE restriction (restriction_code CLOB, advance_purchase NUMBER, stopovers CLOB, saturday_stay_required CLOB, minimum_stay NUMBER, maximum_stay NUMBER, application CLOB, no_discounts CLOB)
CREATE TABLE state (state_code CLOB, state_name CLOB, country_name CLOB)
CREATE TABLE city (city_code VARCHAR2, city_name VARCHAR2, state_code VARCHAR2, country_name VARCHAR2, time_zone_code 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 ground_service (city_code CLOB, airport_code CLOB, transport_type CLOB, ground_fare 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 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 airport_service (city_code VARCHAR2, airport_code VARCHAR2, miles_distant NUMBER, direction VARCHAR2, minutes_distant NUMBER)
CREATE TABLE date_day (month_number NUMBER, day_number NUMBER, year NUMBER, day_name VARCHAR2)
CREATE TABLE class_of_service (booking_class VARCHAR2, rank NUMBER, class_description CLOB)
CREATE TABLE aircraft (aircraft_code VARCHAR2, aircraft_description VARCHAR2, manufacturer VARCHAR2, basic_type VARCHAR2, engines NUMBER, propulsion VARCHAR2, wide_body VARCHAR2, wing_span NUMBER, length NUMBER, weight NUMBER, capacity NUMBER, pay_load NUMBER, cruising_speed NUMBER, range_miles NUMBER, pressurized VARCHAR2)
CREATE TABLE dual_carrier (main_airline VARCHAR2, low_flight_number NUMBER, high_flight_number NUMBER, dual_airline VARCHAR2, service_name CLOB)
CREATE TABLE 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 compartment_class (compartment VARCHAR2, class_type VARCHAR2)
| show me flights from NEW YORK to MIAMI | 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 = 'NEW YORK' AND CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'MIAMI' AND flight.from_airport = AIRPORT_SERVICE_0.airport_code AND flight.to_airport = AIRPORT_SERVICE_1.airport_code | SELECT DISTINCT "flight"."flight_id" FROM "airport_service" "AIRPORT_SERVICE_0" JOIN "city" "CITY_0" ON "AIRPORT_SERVICE_0"."city_code" = "CITY_0"."city_code" AND "CITY_0"."city_name" = 'NEW YORK' JOIN "flight" ON "AIRPORT_SERVICE_0"."airport_code" = "flight"."from_airport" JOIN "airport_service" "AIRPORT_SERVICE_1" ON "AIRPORT_SERVICE_1"."airport_code" = "flight"."to_airport" JOIN "city" "CITY_1" ON "AIRPORT_SERVICE_1"."city_code" = "CITY_1"."city_code" AND "CITY_1"."city_name" = 'MIAMI' | 0.481445 |
CREATE TABLE table_name_92 (points VARCHAR2, tries_against VARCHAR2)
| When the tries against is 90 how many points are there? | SELECT points FROM table_name_92 WHERE tries_against = "90" | SELECT "points" FROM "table_name_92" WHERE "90" = "tries_against" | 0.063477 |
CREATE TABLE table_80173 ("Election" CLOB, "1st Member" CLOB, "1st Party" CLOB, "2nd Member" CLOB, "2nd Party" CLOB)
| What was the 1st Member when the 1st Party had its representation reduced to one member? | SELECT "1st Member" FROM table_80173 WHERE "1st Party" = 'representation reduced to one member' | SELECT "1st Member" FROM "table_80173" WHERE "1st Party" = 'representation reduced to one member' | 0.094727 |
CREATE TABLE table_name_41 (year NUMBER, result VARCHAR2, award VARCHAR2)
| What year did was the Inside Soap Awards won? | SELECT AVG(year) FROM table_name_41 WHERE result = "won" AND award = "inside soap awards" | SELECT AVG("year") FROM "table_name_41" WHERE "award" = "inside soap awards" AND "result" = "won" | 0.094727 |
CREATE TABLE table_name_31 (payment VARCHAR2, type VARCHAR2, release_date VARCHAR2)
| Which Payment has a Type of 2d, and a Release date of january 2003? | SELECT payment FROM table_name_31 WHERE type = "2d" AND release_date = "january 2003" | SELECT "payment" FROM "table_name_31" WHERE "2d" = "type" AND "january 2003" = "release_date" | 0.09082 |
CREATE TABLE weather (date CLOB, max_temperature_f NUMBER, mean_temperature_f NUMBER, min_temperature_f NUMBER, max_dew_point_f NUMBER, mean_dew_point_f NUMBER, min_dew_point_f NUMBER, max_humidity NUMBER, mean_humidity NUMBER, min_humidity NUMBER, max_sea_level_pressure_inches NUMBER, mean_sea_level_pressure_inches NUMBER, min_sea_level_pressure_inches NUMBER, max_visibility_miles NUMBER, mean_visibility_miles NUMBER, min_visibility_miles NUMBER, max_wind_Speed_mph NUMBER, mean_wind_speed_mph NUMBER, max_gust_speed_mph NUMBER, precipitation_inches NUMBER, cloud_cover NUMBER, events CLOB, wind_dir_degrees NUMBER, zip_code NUMBER)
CREATE TABLE status (station_id NUMBER, bikes_available NUMBER, docks_available NUMBER, time CLOB)
CREATE TABLE trip (id NUMBER, duration NUMBER, start_date CLOB, start_station_name CLOB, start_station_id NUMBER, end_date CLOB, end_station_name CLOB, end_station_id NUMBER, bike_id NUMBER, subscription_type CLOB, zip_code NUMBER)
CREATE TABLE station (id NUMBER, name CLOB, lat NUMBER, long NUMBER, dock_count NUMBER, city CLOB, installation_date CLOB)
| Bar graph to show how many installation date from different installation date | SELECT installation_date, COUNT(installation_date) FROM station | SELECT "installation_date", COUNT("installation_date") FROM "station" | 0.067383 |
CREATE TABLE table_25234 ("Rnd" FLOAT, "Date" CLOB, "Race Name" CLOB, "Length" CLOB, "Track" CLOB, "Location" CLOB, "Pole Position" CLOB, "Winning Driver" CLOB)
| What is the name of the track for the International 500 mile Sweepstakes race? | SELECT "Track" FROM table_25234 WHERE "Race Name" = 'International 500 Mile Sweepstakes' | SELECT "Track" FROM "table_25234" WHERE "Race Name" = 'International 500 Mile Sweepstakes' | 0.087891 |
CREATE TABLE table_51250 ("Year" FLOAT, "Date" CLOB, "Winner" CLOB, "Result" CLOB, "Loser" CLOB, "Attendance" FLOAT, "Location" CLOB)
| what date saw the chicago bears lose in green bay earlier than 1931? | SELECT "Date" FROM table_51250 WHERE "Loser" = 'chicago bears' AND "Location" = 'green bay' AND "Year" < '1931' | SELECT "Date" FROM "table_51250" WHERE "Location" = 'green bay' AND "Loser" = 'chicago bears' AND "Year" < '1931' | 0.110352 |
CREATE TABLE table_24694 ("Position" FLOAT, "Club" CLOB, "Played" FLOAT, "Won" FLOAT, "Drawn" FLOAT, "Lost" FLOAT, "Def." FLOAT, "Pts For" FLOAT, "Pts Agst" FLOAT, "Long" FLOAT, "Points" FLOAT, "Average" CLOB)
| Name the most points agst | SELECT MAX("Pts Agst") FROM table_24694 | SELECT MAX("Pts Agst") FROM "table_24694" | 0.040039 |
CREATE TABLE table_34034 ("Team" CLOB, "Average" FLOAT, "Points" FLOAT, "Played" FLOAT, "1986-87" CLOB, "1987-88" CLOB, "1988-89" FLOAT)
| What's the total of 1988-89 that has a 1986-87 of 38, and Points that's smaller than 109? | SELECT SUM("1988-89") FROM table_34034 WHERE "1986-87" = '38' AND "Points" < '109' | SELECT SUM("1988-89") FROM "table_34034" WHERE "1986-87" = '38' AND "Points" < '109' | 0.082031 |
CREATE TABLE table_55641 ("Player" CLOB, "Position" CLOB, "Date of Birth ( Age ) " CLOB, "Caps" FLOAT, "Club/province" CLOB)
| What position for jj gagiano? | SELECT "Position" FROM table_55641 WHERE "Player" = 'jj gagiano' | SELECT "Position" FROM "table_55641" WHERE "Player" = 'jj gagiano' | 0.064453 |
CREATE TABLE Clients (Client_ID NUMBER, Address_ID NUMBER, Customer_Email_Address VARCHAR2, Customer_Name VARCHAR2, Customer_Phone VARCHAR2, Other_Details VARCHAR2)
CREATE TABLE Order_Items (Order_Item_ID NUMBER, Order_ID NUMBER, Product_ID NUMBER, Order_Quantity VARCHAR2, Other_Item_Details VARCHAR2)
CREATE TABLE Ref_Payment_Methods (payment_method_code CHAR, payment_method_description VARCHAR2)
CREATE TABLE Performers (Performer_ID NUMBER, Address_ID NUMBER, Customer_Name VARCHAR2, Customer_Phone VARCHAR2, Customer_Email_Address VARCHAR2, Other_Details VARCHAR2)
CREATE TABLE Invoice_Items (Invoice_Item_ID NUMBER, Invoice_ID NUMBER, Order_ID NUMBER, Order_Item_ID NUMBER, Product_ID NUMBER, Order_Quantity NUMBER, Other_Item_Details VARCHAR2)
CREATE TABLE Bookings_Services (Order_ID NUMBER, Product_ID NUMBER)
CREATE TABLE Performers_in_Bookings (Order_ID NUMBER, Performer_ID NUMBER)
CREATE TABLE Bookings (Booking_ID NUMBER, Customer_ID NUMBER, Workshop_Group_ID VARCHAR2, Status_Code CHAR, Store_ID NUMBER, Order_Date DATETIME, Planned_Delivery_Date DATETIME, Actual_Delivery_Date DATETIME, Other_Order_Details VARCHAR2)
CREATE TABLE Marketing_Regions (Marketing_Region_Code CHAR, Marketing_Region_Name VARCHAR2, Marketing_Region_Descriptrion VARCHAR2, Other_Details VARCHAR2)
CREATE TABLE Products (Product_ID VARCHAR2, Product_Name VARCHAR2, Product_Price NUMBER, Product_Description VARCHAR2, Other_Product_Service_Details VARCHAR2)
CREATE TABLE Services (Service_ID NUMBER, Service_Type_Code CHAR, Workshop_Group_ID NUMBER, Product_Description VARCHAR2, Product_Name VARCHAR2, Product_Price NUMBER, Other_Product_Service_Details VARCHAR2)
CREATE TABLE Customer_Orders (Order_ID NUMBER, Customer_ID NUMBER, Store_ID NUMBER, Order_Date DATETIME, Planned_Delivery_Date DATETIME, Actual_Delivery_Date DATETIME, Other_Order_Details VARCHAR2)
CREATE TABLE Customers (Customer_ID VARCHAR2, Address_ID NUMBER, Customer_Name VARCHAR2, Customer_Phone VARCHAR2, Customer_Email_Address VARCHAR2, Other_Details VARCHAR2)
CREATE TABLE Invoices (Invoice_ID NUMBER, Order_ID NUMBER, payment_method_code CHAR, Product_ID NUMBER, Order_Quantity VARCHAR2, Other_Item_Details VARCHAR2, Order_Item_ID NUMBER)
CREATE TABLE Stores (Store_ID VARCHAR2, Address_ID NUMBER, Marketing_Region_Code CHAR, Store_Name VARCHAR2, Store_Phone VARCHAR2, Store_Email_Address VARCHAR2, Other_Details VARCHAR2)
CREATE TABLE Ref_Service_Types (Service_Type_Code CHAR, Parent_Service_Type_Code CHAR, Service_Type_Description VARCHAR2)
CREATE TABLE Addresses (Address_ID VARCHAR2, Line_1 VARCHAR2, Line_2 VARCHAR2, City_Town VARCHAR2, State_County VARCHAR2, Other_Details VARCHAR2)
CREATE TABLE Drama_Workshop_Groups (Workshop_Group_ID NUMBER, Address_ID NUMBER, Currency_Code CHAR, Marketing_Region_Code CHAR, Store_Name VARCHAR2, Store_Phone VARCHAR2, Store_Email_Address VARCHAR2, Other_Details VARCHAR2)
| What is the order date of each booking, and count them by a bar chart | SELECT Order_Date, COUNT(Order_Date) FROM Bookings | SELECT "Order_Date", COUNT("Order_Date") FROM "Bookings" | 0.054688 |
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 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)
| provide the number of newborn admission patients who had thyroxine (t4) lab test. | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.admission_type = "NEWBORN" AND lab.label = "Thyroxine (T4)" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "lab" ON "Thyroxine (T4)" = "lab"."label" AND "demographic"."hadm_id" = "lab"."hadm_id" WHERE "NEWBORN" = "demographic"."admission_type" | 0.205078 |
CREATE TABLE table_58334 ("Player" CLOB, "Height" CLOB, "School" CLOB, "Hometown" CLOB, "College" CLOB, "NBA Draft" CLOB)
| Which School is located in Winter Park, FL (Hometown)? | SELECT "School" FROM table_58334 WHERE "Hometown" = 'winter park, fl' | SELECT "School" FROM "table_58334" WHERE "Hometown" = 'winter park, fl' | 0.069336 |
CREATE TABLE table_name_61 (release_date VARCHAR2, subtitles VARCHAR2, publisher VARCHAR2)
| What is the release date that has english as the subtitles, and magna pacific as the publisher? | SELECT release_date FROM table_name_61 WHERE subtitles = "english" AND publisher = "magna pacific" | SELECT "release_date" FROM "table_name_61" WHERE "english" = "subtitles" AND "magna pacific" = "publisher" | 0.103516 |
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
| count the number of patients whose ethnicity is american indian/alaska native and diagnoses long title is unspecified erythematous condition? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.ethnicity = "AMERICAN INDIAN/ALASKA NATIVE" AND diagnoses.long_title = "Unspecified erythematous condition" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "Unspecified erythematous condition" = "diagnoses"."long_title" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" WHERE "AMERICAN INDIAN/ALASKA NATIVE" = "demographic"."ethnicity" | 0.263672 |
CREATE TABLE table_204_140 (id NUMBER, "round" NUMBER, "#" NUMBER, "player" CLOB, "position" CLOB, "nationality" CLOB, "college/junior/club team ( league ) " CLOB)
| how many centers were drafted by the islander 's in the 2006 nhl entry draft ? | SELECT COUNT(*) FROM table_204_140 WHERE "position" = 'center' | SELECT COUNT(*) FROM "table_204_140" WHERE "position" = 'center' | 0.0625 |
CREATE TABLE cost (costid NUMBER, uniquepid CLOB, patienthealthsystemstayid NUMBER, eventtype CLOB, eventid NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE vitalperiodic (vitalperiodicid NUMBER, patientunitstayid NUMBER, temperature NUMBER, sao2 NUMBER, heartrate NUMBER, respiration NUMBER, systemicsystolic NUMBER, systemicdiastolic NUMBER, systemicmean NUMBER, observationtime TIME)
CREATE TABLE allergy (allergyid NUMBER, patientunitstayid NUMBER, drugname CLOB, allergyname CLOB, allergytime TIME)
CREATE TABLE medication (medicationid NUMBER, patientunitstayid NUMBER, drugname CLOB, dosage CLOB, routeadmin CLOB, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE diagnosis (diagnosisid NUMBER, patientunitstayid NUMBER, diagnosisname CLOB, diagnosistime TIME, icd9code CLOB)
CREATE TABLE intakeoutput (intakeoutputid NUMBER, patientunitstayid NUMBER, cellpath CLOB, celllabel CLOB, cellvaluenumeric NUMBER, intakeoutputtime TIME)
CREATE TABLE microlab (microlabid NUMBER, patientunitstayid NUMBER, culturesite CLOB, organism CLOB, culturetakentime TIME)
CREATE TABLE lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime TIME)
CREATE TABLE treatment (treatmentid NUMBER, patientunitstayid NUMBER, treatmentname CLOB, treatmenttime TIME)
CREATE TABLE 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)
| since 27 months ago what was the first time of patient 031-24513's microbiology test? | SELECT microlab.culturetakentime FROM microlab WHERE microlab.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '031-24513')) AND DATETIME(microlab.culturetakentime) >= DATETIME(CURRENT_TIME(), '-27 month') ORDER BY microlab.culturetakentime LIMIT 1 | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '031-24513' 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 "microlab"."culturetakentime" FROM "microlab" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "microlab"."patientunitstayid" WHERE DATETIME("microlab"."culturetakentime") >= DATETIME(CURRENT_TIME(), '-27 month') AND NOT "_u_1"."" IS NULL ORDER BY "microlab"."culturetakentime" FETCH FIRST 1 ROWS ONLY | 0.637695 |
CREATE TABLE table_name_50 (ages VARCHAR2, report VARCHAR2, school VARCHAR2)
| What are the Ages of the Seashell Trust School with Ofsted Report? | SELECT ages FROM table_name_50 WHERE report = "ofsted" AND school = "seashell trust" | SELECT "ages" FROM "table_name_50" WHERE "ofsted" = "report" AND "school" = "seashell trust" | 0.089844 |
CREATE TABLE table_18540104_1 (theme_song_s_ VARCHAR2, romaji_title VARCHAR2)
| What is the theme song for Magarikado no Kanojo? | SELECT theme_song_s_ FROM table_18540104_1 WHERE romaji_title = "Magarikado no Kanojo" | SELECT "theme_song_s_" FROM "table_18540104_1" WHERE "Magarikado no Kanojo" = "romaji_title" | 0.089844 |
CREATE TABLE table_203_584 (id NUMBER, "date" CLOB, "race name" CLOB, "d ( f ) " NUMBER, "course" CLOB, "prize ( \\u00a3 ) " NUMBER, "odds" CLOB, "runners" NUMBER, "place" NUMBER, "margin" NUMBER, "winner/runner-up" CLOB, "time" CLOB, "jockey" CLOB)
| how many times was first place won ? | SELECT COUNT(*) FROM table_203_584 WHERE "place" = 1 | SELECT COUNT(*) FROM "table_203_584" WHERE "place" = 1 | 0.052734 |
CREATE TABLE table_27051 ("No. in series" FLOAT, "No. in season" FLOAT, "Title" CLOB, "Directed by" CLOB, "Written by" CLOB, "Original air date" CLOB, "Production code" FLOAT)
| What was the title of the episode written by Julia Newton in series 48? | SELECT "Title" FROM table_27051 WHERE "Written by" = 'Julia Newton' AND "No. in series" = '48' | SELECT "Title" FROM "table_27051" WHERE "No. in series" = '48' AND "Written by" = 'Julia Newton' | 0.09375 |
CREATE TABLE candidate (Candidate_ID NUMBER, People_ID NUMBER, Poll_Source CLOB, Date CLOB, Support_rate FLOAT, Consider_rate FLOAT, Oppose_rate FLOAT, Unsure_rate FLOAT)
CREATE TABLE people (People_ID NUMBER, Sex CLOB, Name CLOB, Date_of_Birth CLOB, Height FLOAT, Weight FLOAT)
| Visualize a scatter chart about the correlation between People_ID and Weight , and group by attribute Sex. | SELECT People_ID, Weight FROM people GROUP BY Sex | SELECT "People_ID", "Weight" FROM "people" GROUP BY "Sex" | 0.055664 |
CREATE TABLE table_73290 ("Type of Record" CLOB, "Attendance" CLOB, "Date/Year" CLOB, "Stadium" CLOB, "Result/Games" CLOB)
| What was the stadium that had the regular season game? | SELECT "Stadium" FROM table_73290 WHERE "Type of Record" = 'Regular season game' | SELECT "Stadium" FROM "table_73290" WHERE "Type of Record" = 'Regular season game' | 0.080078 |
CREATE TABLE table_27695 ("Game" FLOAT, "Date" CLOB, "Team" CLOB, "Score" CLOB, "High points" CLOB, "High rebounds" CLOB, "High assists" CLOB, "Location Attendance" CLOB, "Record" CLOB)
| How many games were played on november 27? | SELECT COUNT("Record") FROM table_27695 WHERE "Date" = 'November 27' | SELECT COUNT("Record") FROM "table_27695" WHERE "Date" = 'November 27' | 0.068359 |
CREATE TABLE Products (Code NUMBER, Name VARCHAR2, Price NUMBER, Manufacturer NUMBER)
CREATE TABLE Manufacturers (Code NUMBER, Name VARCHAR2, Headquarter VARCHAR2, Founder VARCHAR2, Revenue FLOAT)
| For those records from the products and each product's manufacturer, give me the comparison about the sum of code over the founder , and group by attribute founder. | SELECT T2.Founder, T1.Code FROM Products AS T1 JOIN Manufacturers AS T2 ON T1.Manufacturer = T2.Code GROUP BY T2.Founder | SELECT "T2"."Founder", "T1"."Code" FROM "Products" "T1" JOIN "Manufacturers" "T2" ON "T1"."Manufacturer" = "T2"."Code" GROUP BY "T2"."Founder" | 0.138672 |
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE 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)
| get the number of days of hospital stay and discharge time for subject id 9575. | SELECT demographic.days_stay, demographic.dischtime FROM demographic WHERE demographic.subject_id = "9575" | SELECT "demographic"."days_stay", "demographic"."dischtime" FROM "demographic" WHERE "9575" = "demographic"."subject_id" | 0.117188 |
CREATE TABLE table_59872 ("Name" CLOB, "Pos." CLOB, "Height" CLOB, "Weight" CLOB, "Date of Birth" CLOB, "Club" CLOB)
| What is the Name of the D Player from the Dinamo Moscow Club? | SELECT "Name" FROM table_59872 WHERE "Club" = 'dinamo moscow' AND "Pos." = 'd' | SELECT "Name" FROM "table_59872" WHERE "Club" = 'dinamo moscow' AND "Pos." = 'd' | 0.078125 |
CREATE TABLE table_name_38 (result VARCHAR2, attendance VARCHAR2)
| What was the result of the game that was attended by 80,886 people? | SELECT result FROM table_name_38 WHERE attendance = "80,886" | SELECT "result" FROM "table_name_38" WHERE "80,886" = "attendance" | 0.064453 |
CREATE TABLE table_70660 ("Name" CLOB, "Years" CLOB, "Gender" CLOB, "Area" CLOB, "Authority" CLOB, "Decile" FLOAT, "Roll" FLOAT)
| Where is the coed school with state authority, a Decile larger than 6 and 26 enrolled? | SELECT "Area" FROM table_70660 WHERE "Authority" = 'state' AND "Decile" > '6' AND "Gender" = 'coed' AND "Roll" = '26' | SELECT "Area" FROM "table_70660" WHERE "Authority" = 'state' AND "Decile" > '6' AND "Gender" = 'coed' AND "Roll" = '26' | 0.116211 |
CREATE TABLE table_65389 ("Name" CLOB, "Position" CLOB, "League Apps" CLOB, "League Goals" FLOAT, "FA Cup Apps" CLOB, "FA Cup Goals" FLOAT, "League Cup Apps" CLOB, "League Cup Goals" FLOAT, "FLT Apps" CLOB, "FLT Goals" FLOAT, "Total Apps" CLOB, "Total Goals" FLOAT)
| What is the total number of league goals for Simon Charlton? | SELECT COUNT("League Goals") FROM table_65389 WHERE "Name" = 'simon charlton' | SELECT COUNT("League Goals") FROM "table_65389" WHERE "Name" = 'simon charlton' | 0.077148 |
CREATE TABLE PostHistoryTypes (Id NUMBER, Name CLOB)
CREATE TABLE Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount NUMBER)
CREATE TABLE PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId NUMBER)
CREATE TABLE SuggestedEdits (Id NUMBER, PostId NUMBER, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId NUMBER, Comment CLOB, Text CLOB, Title CLOB, Tags CLOB, RevisionGUID other)
CREATE TABLE PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId NUMBER)
CREATE TABLE ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId NUMBER)
CREATE TABLE CloseReasonTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId 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 ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment CLOB)
CREATE TABLE Comments (Id NUMBER, PostId NUMBER, Score NUMBER, Text CLOB, CreationDate TIME, UserDisplayName CLOB, UserId NUMBER, ContentLicense CLOB)
CREATE TABLE FlagTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE ReviewTaskTypes (Id NUMBER, Name CLOB, Description CLOB)
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 VoteTypes (Id NUMBER, Name CLOB)
CREATE TABLE TagSynonyms (Id NUMBER, SourceTagName CLOB, TargetTagName CLOB, CreationDate TIME, OwnerUserId NUMBER, AutoRenameCount NUMBER, LastAutoRename TIME, Score NUMBER, ApprovedByUserId NUMBER, ApprovalDate TIME)
CREATE TABLE 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 PostTags (PostId NUMBER, TagId NUMBER)
CREATE TABLE PostHistory (Id NUMBER, PostHistoryTypeId NUMBER, PostId NUMBER, RevisionGUID other, CreationDate TIME, UserId NUMBER, UserDisplayName CLOB, Comment CLOB, Text CLOB, ContentLicense CLOB)
CREATE TABLE Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
CREATE TABLE Posts (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE SuggestedEditVotes (Id NUMBER, SuggestedEditId NUMBER, UserId NUMBER, VoteTypeId NUMBER, CreationDate TIME, TargetUserId NUMBER, TargetRepChange NUMBER)
CREATE TABLE PostTypes (Id NUMBER, Name CLOB)
CREATE TABLE PendingFlags (Id NUMBER, FlagTypeId NUMBER, PostId NUMBER, CreationDate TIME, CloseReasonTypeId NUMBER, CloseAsOffTopicReasonTypeId NUMBER, DuplicateOfQuestionId NUMBER, BelongsOnBaseHostAddress CLOB)
CREATE TABLE CloseAsOffTopicReasonTypes (Id NUMBER, IsUniversal BOOLEAN, InputTitle CLOB, MarkdownInputGuidance CLOB, MarkdownPostOwnerGuidance CLOB, MarkdownPrivilegedUserGuidance CLOB, MarkdownConcensusDescription CLOB, CreationDate TIME, CreationModeratorId NUMBER, ApprovalDate TIME, ApprovalModeratorId NUMBER, DeactivationDate TIME, DeactivationModeratorId NUMBER)
CREATE TABLE ReviewTaskStates (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
CREATE TABLE ReviewTaskResultTypes (Id NUMBER, Name CLOB, Description CLOB)
| Count pairs of tags (number of posts with tag1 and tag2, for all tags). Returns counts of pairs of tags, which occur in the same question. | SELECT T1.TagName AS Tag1, T2.TagName AS Tag2, COUNT(*) AS TagPairCount FROM Posts AS P INNER JOIN PostTags AS PT1 ON PT1.PostId = P.Id INNER JOIN PostTags AS PT2 ON PT2.PostId = P.Id INNER JOIN Tags AS T1 ON T1.Id = PT1.TagId INNER JOIN Tags AS T2 ON T2.Id = PT2.TagId WHERE T1.TagName < T2.TagName GROUP BY T1.TagName, T2.TagName HAVING COUNT(*) >= @MinCounts ORDER BY TagPairCount DESC | SELECT "T1"."TagName" AS "Tag1", "T2"."TagName" AS "Tag2", COUNT(*) AS "TagPairCount" FROM "Posts" "P" JOIN "PostTags" "PT1" ON "P"."Id" = "PT1"."PostId" JOIN "PostTags" "PT2" ON "P"."Id" = "PT2"."PostId" JOIN "Tags" "T1" ON "PT1"."TagId" = "T1"."Id" JOIN "Tags" "T2" ON "PT2"."TagId" = "T2"."Id" AND "T1"."TagName" < "T2"."TagName" GROUP BY "T1"."TagName", "T2"."TagName" HAVING COUNT(*) >= @MinCounts ORDER BY "TagPairCount" DESC | 0.420898 |
CREATE TABLE table_1342256_32 (party VARCHAR2, incumbent VARCHAR2)
| Which political party is involved where John J. Delaney is the sitting Representative? | SELECT party FROM table_1342256_32 WHERE incumbent = "John J. Delaney" | SELECT "party" FROM "table_1342256_32" WHERE "John J. Delaney" = "incumbent" | 0.074219 |
CREATE TABLE table_name_57 (opponent VARCHAR2, date VARCHAR2)
| What was the opponent on August 29? | SELECT opponent FROM table_name_57 WHERE date = "august 29" | SELECT "opponent" FROM "table_name_57" WHERE "august 29" = "date" | 0.063477 |
CREATE TABLE admissions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, admittime TIME, dischtime TIME, admission_type CLOB, admission_location CLOB, discharge_location CLOB, insurance CLOB, language CLOB, marital_status CLOB, ethnicity CLOB, age NUMBER)
CREATE TABLE d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
CREATE TABLE patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
CREATE TABLE prescriptions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, startdate TIME, enddate TIME, drug CLOB, dose_val_rx CLOB, dose_unit_rx CLOB, route CLOB)
CREATE TABLE transfers (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, eventtype CLOB, careunit CLOB, wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value 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 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 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 microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
CREATE TABLE cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
| when was the last arterial bp mean of patient 4401 measured today? | SELECT chartevents.charttime FROM chartevents WHERE chartevents.icustay_id IN (SELECT icustays.icustay_id FROM icustays WHERE icustays.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 4401)) AND chartevents.itemid IN (SELECT d_items.itemid FROM d_items WHERE d_items.label = 'arterial bp mean' AND d_items.linksto = 'chartevents') AND DATETIME(chartevents.charttime, 'start of day') = DATETIME(CURRENT_TIME(), 'start of day', '-0 day') ORDER BY chartevents.charttime DESC LIMIT 1 | WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 4401 GROUP BY "hadm_id"), "_u_1" AS (SELECT "icustays"."icustay_id" FROM "icustays" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "icustays"."hadm_id" WHERE NOT "_u_0"."" IS NULL GROUP BY "icustay_id"), "_u_2" AS (SELECT "d_items"."itemid" FROM "d_items" WHERE "d_items"."label" = 'arterial bp mean' AND "d_items"."linksto" = 'chartevents' GROUP BY "itemid") SELECT "chartevents"."charttime" FROM "chartevents" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "chartevents"."icustay_id" LEFT JOIN "_u_2" "_u_2" ON "_u_2"."" = "chartevents"."itemid" WHERE DATETIME("chartevents"."charttime", 'start of day') = DATETIME(CURRENT_TIME(), 'start of day', '-0 day') AND NOT "_u_1"."" IS NULL AND NOT "_u_2"."" IS NULL ORDER BY "chartevents"."charttime" DESC FETCH FIRST 1 ROWS ONLY | 0.835938 |
CREATE TABLE table_name_5 (run_3 NUMBER, run_1 VARCHAR2, run_2 VARCHAR2)
| What is the run 3 of the athlete with a run 1 more than 53.75 and a run 2 less than 52.91? | SELECT SUM(run_3) FROM table_name_5 WHERE run_1 > 53.75 AND run_2 < 52.91 | SELECT SUM("run_3") FROM "table_name_5" WHERE "run_1" > 53.75 AND "run_2" < 52.91 | 0.079102 |
CREATE TABLE table_24192031_2 (geographical_regions VARCHAR2, contestant VARCHAR2)
| What geographical region is contestant laura jim nez ynoa from? | SELECT geographical_regions FROM table_24192031_2 WHERE contestant = "Laura Jiménez Ynoa" | SELECT "geographical_regions" FROM "table_24192031_2" WHERE "Laura Jiménez Ynoa" = "contestant" | 0.092773 |
CREATE TABLE table_name_38 (platform VARCHAR2, actual_version VARCHAR2)
| Which platform has an Actual version of 0.147? | SELECT platform FROM table_name_38 WHERE actual_version = "0.147" | SELECT "platform" FROM "table_name_38" WHERE "0.147" = "actual_version" | 0.069336 |
CREATE TABLE table_67969 ("Event" CLOB, "Time" CLOB, "Nationality" CLOB, "Date" CLOB, "Meet" CLOB, "Location" CLOB)
| On what Date was the Meet of 2007 Pan American Games with a Time of 1:07.78? | SELECT "Date" FROM table_67969 WHERE "Meet" = '2007 pan american games' AND "Time" = '1:07.78' | SELECT "Date" FROM "table_67969" WHERE "Meet" = '2007 pan american games' AND "Time" = '1:07.78' | 0.09375 |
CREATE TABLE time_interval (period CLOB, begin_time NUMBER, end_time NUMBER)
CREATE TABLE code_description (code VARCHAR2, description CLOB)
CREATE TABLE fare_basis (fare_basis_code CLOB, booking_class CLOB, class_type CLOB, premium CLOB, economy CLOB, discounted CLOB, night CLOB, season CLOB, basis_days CLOB)
CREATE TABLE compartment_class (compartment VARCHAR2, class_type VARCHAR2)
CREATE TABLE dual_carrier (main_airline VARCHAR2, low_flight_number NUMBER, high_flight_number NUMBER, dual_airline VARCHAR2, service_name CLOB)
CREATE TABLE month (month_number NUMBER, month_name CLOB)
CREATE TABLE flight_fare (flight_id NUMBER, fare_id 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 airline (airline_code VARCHAR2, airline_name CLOB, note CLOB)
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 city (city_code VARCHAR2, city_name VARCHAR2, state_code VARCHAR2, country_name VARCHAR2, time_zone_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 equipment_sequence (aircraft_code_sequence VARCHAR2, aircraft_code VARCHAR2)
CREATE TABLE flight (aircraft_code_sequence CLOB, airline_code VARCHAR2, airline_flight CLOB, arrival_time NUMBER, connections NUMBER, departure_time NUMBER, dual_carrier CLOB, flight_days CLOB, flight_id NUMBER, flight_number NUMBER, from_airport VARCHAR2, meal_code CLOB, stops NUMBER, time_elapsed NUMBER, to_airport VARCHAR2)
CREATE TABLE date_day (month_number NUMBER, day_number NUMBER, year NUMBER, day_name VARCHAR2)
CREATE TABLE state (state_code CLOB, state_name CLOB, country_name CLOB)
CREATE TABLE time_zone (time_zone_code CLOB, time_zone_name CLOB, hours_from_gmt NUMBER)
CREATE TABLE class_of_service (booking_class VARCHAR2, rank NUMBER, class_description CLOB)
CREATE TABLE days (days_code VARCHAR2, day_name VARCHAR2)
CREATE TABLE airport_service (city_code VARCHAR2, airport_code VARCHAR2, miles_distant NUMBER, direction VARCHAR2, minutes_distant 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 (fare_id NUMBER, from_airport VARCHAR2, to_airport VARCHAR2, fare_basis_code CLOB, fare_airline CLOB, restriction_code CLOB, one_direction_cost NUMBER, round_trip_cost NUMBER, round_trip_required VARCHAR2)
CREATE TABLE airport (airport_code VARCHAR2, airport_name CLOB, airport_location CLOB, state_code VARCHAR2, country_name VARCHAR2, time_zone_code VARCHAR2, minimum_connect_time NUMBER)
CREATE TABLE flight_leg (flight_id NUMBER, leg_number NUMBER, leg_flight NUMBER)
| how many flights arrive at MKE | SELECT COUNT(DISTINCT flight.flight_id) FROM airport, flight WHERE airport.airport_code = 'MKE' AND flight.to_airport = airport.airport_code | SELECT COUNT(DISTINCT "flight"."flight_id") FROM "airport" JOIN "flight" ON "airport"."airport_code" = "flight"."to_airport" WHERE "airport"."airport_code" = 'MKE' | 0.15918 |
CREATE TABLE table_name_67 (district NUMBER, took_office VARCHAR2, senator VARCHAR2)
| What is the sum of District, when Took Office is greater than 1981, and when Senator is Cyndi Taylor Krier? | SELECT SUM(district) FROM table_name_67 WHERE took_office > 1981 AND senator = "cyndi taylor krier" | SELECT SUM("district") FROM "table_name_67" WHERE "cyndi taylor krier" = "senator" AND "took_office" > 1981 | 0.104492 |
CREATE TABLE table_name_49 (injured NUMBER, place VARCHAR2, killed VARCHAR2)
| What is the smallest number of injured in mayurbhanj, odisha and less than 1 killed? | SELECT MIN(injured) FROM table_name_49 WHERE place = "mayurbhanj, odisha" AND killed < 1 | SELECT MIN("injured") FROM "table_name_49" WHERE "killed" < 1 AND "mayurbhanj, odisha" = "place" | 0.09375 |
CREATE TABLE table_37973 ("Tournament" CLOB, "2001" CLOB, "2002" CLOB, "2003" CLOB, "2004" CLOB, "2005" CLOB, "2006" CLOB, "2007" CLOB, "2008" CLOB, "2009" CLOB, "2011" CLOB, "2012" CLOB, "2013" CLOB, "Career SR" CLOB, "Career Win-Loss" CLOB)
| Which 2008 has a Career Win-Loss of 25 40? | SELECT "2008" FROM table_37973 WHERE "Career Win-Loss" = '25–40' | SELECT "2008" FROM "table_37973" WHERE "Career Win-Loss" = '25–40' | 0.064453 |
CREATE TABLE table_75753 ("Election" FLOAT, "Liberal Party" CLOB, "Conservative Party" CLOB, "Labour Party" CLOB, "Independents" CLOB, "Control" CLOB)
| What is the number of Independents elected in the year Labour won 26 (+3) seats? | SELECT "Independents" FROM table_75753 WHERE "Labour Party" = '26 (+3)' | SELECT "Independents" FROM "table_75753" WHERE "Labour Party" = '26 (+3)' | 0.071289 |
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 locations (LOCATION_ID NUMBER, STREET_ADDRESS VARCHAR2, POSTAL_CODE VARCHAR2, CITY VARCHAR2, STATE_PROVINCE VARCHAR2, COUNTRY_ID VARCHAR2)
CREATE TABLE jobs (JOB_ID VARCHAR2, JOB_TITLE VARCHAR2, MIN_SALARY NUMBER, MAX_SALARY NUMBER)
CREATE TABLE regions (REGION_ID NUMBER, REGION_NAME VARCHAR2)
| For those employees who was hired before 2002-06-21, draw a bar chart about the distribution of job_id and the amount of job_id , and group by attribute job_id, and I want to show in ascending by the JOB_ID. | SELECT JOB_ID, COUNT(JOB_ID) FROM employees WHERE HIRE_DATE < '2002-06-21' GROUP BY JOB_ID ORDER BY JOB_ID | SELECT "JOB_ID", COUNT("JOB_ID") FROM "employees" WHERE "HIRE_DATE" < '2002-06-21' GROUP BY "JOB_ID" ORDER BY "JOB_ID" | 0.115234 |
CREATE TABLE table_15959 ("Song" CLOB, "Mobiles" FLOAT, "Northern Ireland" FLOAT, "Northern England" FLOAT, "Scotland" FLOAT, "Southern England" FLOAT, "Wales" FLOAT, "Total" FLOAT)
| What was the lowest number of votes Scotland cast? | SELECT MIN("Scotland") FROM table_15959 | SELECT MIN("Scotland") FROM "table_15959" | 0.040039 |
CREATE TABLE table_name_91 (date VARCHAR2, record VARCHAR2)
| What is the date of the game when the Rockies had a record of 61 66? | SELECT date FROM table_name_91 WHERE record = "61–66" | SELECT "date" FROM "table_name_91" WHERE "61–66" = "record" | 0.057617 |
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 PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId NUMBER)
CREATE TABLE SuggestedEditVotes (Id NUMBER, SuggestedEditId NUMBER, UserId NUMBER, VoteTypeId NUMBER, CreationDate TIME, TargetUserId NUMBER, TargetRepChange NUMBER)
CREATE TABLE ReviewTaskTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostTypes (Id NUMBER, Name CLOB)
CREATE TABLE ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId NUMBER)
CREATE TABLE ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
CREATE TABLE CloseAsOffTopicReasonTypes (Id NUMBER, IsUniversal BOOLEAN, InputTitle CLOB, MarkdownInputGuidance CLOB, MarkdownPostOwnerGuidance CLOB, MarkdownPrivilegedUserGuidance CLOB, MarkdownConcensusDescription CLOB, CreationDate TIME, CreationModeratorId NUMBER, ApprovalDate TIME, ApprovalModeratorId NUMBER, DeactivationDate TIME, DeactivationModeratorId NUMBER)
CREATE TABLE FlagTypes (Id NUMBER, Name CLOB, Description 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 CloseReasonTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostsWithDeleted (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE 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 PostHistoryTypes (Id NUMBER, Name CLOB)
CREATE TABLE PostTags (PostId NUMBER, TagId NUMBER)
CREATE TABLE VoteTypes (Id NUMBER, Name CLOB)
CREATE TABLE Comments (Id NUMBER, PostId NUMBER, Score NUMBER, Text CLOB, CreationDate TIME, UserDisplayName CLOB, UserId NUMBER, ContentLicense CLOB)
CREATE TABLE ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment CLOB)
CREATE TABLE Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
CREATE TABLE PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
CREATE TABLE ReviewTaskStates (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
CREATE TABLE PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId NUMBER)
CREATE TABLE PendingFlags (Id NUMBER, FlagTypeId NUMBER, PostId NUMBER, CreationDate TIME, CloseReasonTypeId NUMBER, CloseAsOffTopicReasonTypeId NUMBER, DuplicateOfQuestionId NUMBER, BelongsOnBaseHostAddress CLOB)
CREATE TABLE Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
CREATE TABLE TagSynonyms (Id NUMBER, SourceTagName CLOB, TargetTagName CLOB, CreationDate TIME, OwnerUserId NUMBER, AutoRenameCount NUMBER, LastAutoRename TIME, Score NUMBER, ApprovedByUserId NUMBER, ApprovalDate TIME)
CREATE TABLE Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount NUMBER)
CREATE TABLE Users (Id NUMBER, Reputation NUMBER, CreationDate TIME, DisplayName CLOB, LastAccessDate TIME, WebsiteUrl CLOB, Location CLOB, AboutMe CLOB, Views NUMBER, UpVotes NUMBER, DownVotes NUMBER, ProfileImageUrl CLOB, EmailHash CLOB, AccountId NUMBER)
| Satisfaction with moderators and system: Amount of new posts deleted by moderators or the system. | SELECT PostNotices.Id, Posts.PostTypeId, PostNotices.CreationDate, PostNotices.DeletionDate, Posts.Score, PostNotices.OwnerUserId, PostNotices.DeletionUserId FROM Posts, PostNotices WHERE NOT PostNotices.DeletionDate IS NULL AND DeletionUserId != PostNotices.OwnerUserId AND YEAR(PostNotices.CreationDate) >= 2012 AND YEAR(PostNotices.CreationDate) < 2019 LIMIT 10000 | SELECT "PostNotices"."Id", "Posts"."PostTypeId", "PostNotices"."CreationDate", "PostNotices"."DeletionDate", "Posts"."Score", "PostNotices"."OwnerUserId", "PostNotices"."DeletionUserId" FROM "Posts" JOIN "PostNotices" ON "DeletionUserId" <> "PostNotices"."OwnerUserId" AND NOT "PostNotices"."DeletionDate" IS NULL AND YEAR("PostNotices"."CreationDate") < 2019 AND YEAR("PostNotices"."CreationDate") >= 2012 FETCH FIRST 10000 ROWS ONLY | 0.423828 |
CREATE TABLE table_50671 ("Place" CLOB, "Player" CLOB, "Country" CLOB, "Score" CLOB, "To Par" CLOB)
| What country id Bob Rosburg from? | SELECT "Country" FROM table_50671 WHERE "Player" = 'bob rosburg' | SELECT "Country" FROM "table_50671" WHERE "Player" = 'bob rosburg' | 0.064453 |
CREATE TABLE PersonFriend (name VARCHAR2, friend VARCHAR2, year NUMBER)
CREATE TABLE Person (name VARCHAR2, age NUMBER, city CLOB, gender CLOB, job CLOB)
| What is the average age for each gender Visualize by bar chart, I want to order by the Y in asc please. | SELECT gender, AVG(age) FROM Person GROUP BY gender ORDER BY AVG(age) | SELECT "gender", AVG("age") FROM "Person" GROUP BY "gender" ORDER BY AVG("age") | 0.077148 |
CREATE TABLE Users (Id NUMBER, Reputation NUMBER, CreationDate TIME, DisplayName CLOB, LastAccessDate TIME, WebsiteUrl CLOB, Location CLOB, AboutMe CLOB, Views NUMBER, UpVotes NUMBER, DownVotes NUMBER, ProfileImageUrl CLOB, EmailHash CLOB, AccountId NUMBER)
CREATE TABLE ReviewTaskResultTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostHistory (Id NUMBER, PostHistoryTypeId NUMBER, PostId NUMBER, RevisionGUID other, CreationDate TIME, UserId NUMBER, UserDisplayName CLOB, Comment CLOB, Text CLOB, ContentLicense CLOB)
CREATE TABLE CloseAsOffTopicReasonTypes (Id NUMBER, IsUniversal BOOLEAN, InputTitle CLOB, MarkdownInputGuidance CLOB, MarkdownPostOwnerGuidance CLOB, MarkdownPrivilegedUserGuidance CLOB, MarkdownConcensusDescription CLOB, CreationDate TIME, CreationModeratorId NUMBER, ApprovalDate TIME, ApprovalModeratorId NUMBER, DeactivationDate TIME, DeactivationModeratorId NUMBER)
CREATE TABLE TagSynonyms (Id NUMBER, SourceTagName CLOB, TargetTagName CLOB, CreationDate TIME, OwnerUserId NUMBER, AutoRenameCount NUMBER, LastAutoRename TIME, Score NUMBER, ApprovedByUserId NUMBER, ApprovalDate TIME)
CREATE TABLE Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
CREATE TABLE Comments (Id NUMBER, PostId NUMBER, Score NUMBER, Text CLOB, CreationDate TIME, UserDisplayName CLOB, UserId NUMBER, ContentLicense CLOB)
CREATE TABLE PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
CREATE TABLE ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId NUMBER)
CREATE TABLE PostTags (PostId NUMBER, TagId NUMBER)
CREATE TABLE PostTypes (Id NUMBER, Name CLOB)
CREATE TABLE FlagTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE ReviewTaskTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Posts (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE PostHistoryTypes (Id NUMBER, Name CLOB)
CREATE TABLE PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId NUMBER)
CREATE TABLE Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount NUMBER)
CREATE TABLE PendingFlags (Id NUMBER, FlagTypeId NUMBER, PostId NUMBER, CreationDate TIME, CloseReasonTypeId NUMBER, CloseAsOffTopicReasonTypeId NUMBER, DuplicateOfQuestionId NUMBER, BelongsOnBaseHostAddress CLOB)
CREATE TABLE VoteTypes (Id NUMBER, Name CLOB)
CREATE TABLE SuggestedEditVotes (Id NUMBER, SuggestedEditId NUMBER, UserId NUMBER, VoteTypeId NUMBER, CreationDate TIME, TargetUserId NUMBER, TargetRepChange NUMBER)
CREATE TABLE 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 PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
CREATE TABLE ReviewTaskStates (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment CLOB)
CREATE TABLE PostsWithDeleted (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId NUMBER)
CREATE TABLE CloseReasonTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
CREATE TABLE ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
| Top 20 users ordered total score for tag and location. | SELECT u.Id AS "user_link", TagName, SUM(Posts.Score) AS Score FROM Tags INNER JOIN PostTags ON PostTags.TagId = Tags.Id INNER JOIN Posts ON Posts.ParentId = PostTags.PostId INNER JOIN Users AS u ON u.Id = Posts.OwnerUserId WHERE LOWER(Location) LIKE LOWER('%##Location##%') AND TagName = '##TagName##' GROUP BY u.Id, TagName ORDER BY 3 DESC LIMIT 20 | SELECT "u"."Id" AS "user_link", "TagName", SUM("Posts"."Score") AS "Score" FROM "Tags" JOIN "PostTags" ON "PostTags"."TagId" = "Tags"."Id" JOIN "Posts" ON "PostTags"."PostId" = "Posts"."ParentId" JOIN "Users" "u" ON "Posts"."OwnerUserId" = "u"."Id" WHERE "TagName" = '##TagName##' AND LOWER("Location") LIKE LOWER('%##Location##%') GROUP BY "u"."Id", "TagName" ORDER BY 3 DESC FETCH FIRST 20 ROWS ONLY | 0.391602 |
CREATE TABLE table_21649285_2 (no VARCHAR2, tournament VARCHAR2)
| How many tournaments were at sime darby lpga malaysia? | SELECT COUNT(no) FROM table_21649285_2 WHERE tournament = "Sime Darby LPGA Malaysia" | SELECT COUNT("no") FROM "table_21649285_2" WHERE "Sime Darby LPGA Malaysia" = "tournament" | 0.087891 |
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 Comments (Id NUMBER, PostId NUMBER, Score NUMBER, Text CLOB, CreationDate TIME, UserDisplayName CLOB, UserId NUMBER, ContentLicense CLOB)
CREATE TABLE PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
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 ReviewTaskResultTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE CloseAsOffTopicReasonTypes (Id NUMBER, IsUniversal BOOLEAN, InputTitle CLOB, MarkdownInputGuidance CLOB, MarkdownPostOwnerGuidance CLOB, MarkdownPrivilegedUserGuidance CLOB, MarkdownConcensusDescription CLOB, CreationDate TIME, CreationModeratorId NUMBER, ApprovalDate TIME, ApprovalModeratorId NUMBER, DeactivationDate TIME, DeactivationModeratorId NUMBER)
CREATE TABLE PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId NUMBER)
CREATE TABLE SuggestedEditVotes (Id NUMBER, SuggestedEditId NUMBER, UserId NUMBER, VoteTypeId NUMBER, CreationDate TIME, TargetUserId NUMBER, TargetRepChange NUMBER)
CREATE TABLE ReviewTaskStates (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 FlagTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment CLOB)
CREATE TABLE Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
CREATE TABLE PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
CREATE TABLE PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId NUMBER)
CREATE TABLE Users (Id NUMBER, Reputation NUMBER, CreationDate TIME, DisplayName CLOB, LastAccessDate TIME, WebsiteUrl CLOB, Location CLOB, AboutMe CLOB, Views NUMBER, UpVotes NUMBER, DownVotes NUMBER, ProfileImageUrl CLOB, EmailHash CLOB, AccountId NUMBER)
CREATE TABLE Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount NUMBER)
CREATE TABLE ReviewTaskTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostTags (PostId NUMBER, TagId NUMBER)
CREATE TABLE PendingFlags (Id NUMBER, FlagTypeId NUMBER, PostId NUMBER, CreationDate TIME, CloseReasonTypeId NUMBER, CloseAsOffTopicReasonTypeId NUMBER, DuplicateOfQuestionId NUMBER, BelongsOnBaseHostAddress CLOB)
CREATE TABLE Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
CREATE TABLE TagSynonyms (Id NUMBER, SourceTagName CLOB, TargetTagName CLOB, CreationDate TIME, OwnerUserId NUMBER, AutoRenameCount NUMBER, LastAutoRename TIME, Score NUMBER, ApprovedByUserId NUMBER, ApprovalDate TIME)
CREATE TABLE ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId NUMBER)
CREATE TABLE SuggestedEdits (Id NUMBER, PostId NUMBER, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId NUMBER, Comment CLOB, Text CLOB, Title CLOB, Tags CLOB, RevisionGUID other)
CREATE TABLE PostTypes (Id NUMBER, Name CLOB)
CREATE TABLE VoteTypes (Id NUMBER, Name CLOB)
CREATE TABLE PostHistoryTypes (Id NUMBER, Name CLOB)
CREATE TABLE ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
CREATE TABLE CloseReasonTypes (Id NUMBER, Name CLOB, Description CLOB)
| Network-wide stats for user account creation after post migration. | SELECT DB_NAME() AS Site, COUNT(*) AS TotalMigrated, COUNT(p.OwnerUserId) AS HaveAccount, SUM(CASE WHEN p.OwnerUserId IS NULL THEN 1 ELSE 0 END) AS NoAccount, SUM(CASE WHEN u.CreationDate > p.CreationDate THEN 1 ELSE 0 END) AS AccountAfterPost, SUM(CASE WHEN u.CreationDate > h.CreationDate THEN 1 ELSE 0 END) AS AccountAfterMigrate FROM PostHistory AS h INNER JOIN Posts AS p ON p.Id = h.PostId LEFT OUTER JOIN Users AS u ON u.Id = p.OwnerUserId WHERE h.PostHistoryTypeId = 36 AND p.PostTypeId = 1 | SELECT DB_NAME() AS "Site", COUNT(*) AS "TotalMigrated", COUNT("p"."OwnerUserId") AS "HaveAccount", SUM(CASE WHEN "p"."OwnerUserId" IS NULL THEN 1 ELSE 0 END) AS "NoAccount", SUM(CASE WHEN "p"."CreationDate" < "u"."CreationDate" THEN 1 ELSE 0 END) AS "AccountAfterPost", SUM(CASE WHEN "h"."CreationDate" < "u"."CreationDate" THEN 1 ELSE 0 END) AS "AccountAfterMigrate" FROM "PostHistory" "h" JOIN "Posts" "p" ON "h"."PostId" = "p"."Id" AND "p"."PostTypeId" = 1 LEFT JOIN "Users" "u" ON "p"."OwnerUserId" = "u"."Id" WHERE "h"."PostHistoryTypeId" = 36 | 0.536133 |
CREATE TABLE table_name_63 (office VARCHAR2, republican_ticket VARCHAR2)
| Which Office has a Republican ticket of daniel h. conway? | SELECT office FROM table_name_63 WHERE republican_ticket = "daniel h. conway" | SELECT "office" FROM "table_name_63" WHERE "daniel h. conway" = "republican_ticket" | 0.081055 |
CREATE TABLE basketball_match (Team_ID NUMBER, School_ID NUMBER, Team_Name CLOB, ACC_Regular_Season CLOB, ACC_Percent CLOB, ACC_Home CLOB, ACC_Road CLOB, All_Games CLOB, All_Games_Percent NUMBER, All_Home CLOB, All_Road CLOB, All_Neutral CLOB)
CREATE TABLE university (School_ID NUMBER, School CLOB, Location CLOB, Founded FLOAT, Affiliation CLOB, Enrollment FLOAT, Nickname CLOB, Primary_conference CLOB)
| Return a bar chart about the distribution of Team_Name and All_Games_Percent , and order by the x axis from high to low. | SELECT Team_Name, All_Games_Percent FROM basketball_match ORDER BY Team_Name DESC | SELECT "Team_Name", "All_Games_Percent" FROM "basketball_match" ORDER BY "Team_Name" DESC | 0.086914 |
CREATE TABLE table_name_26 (gold VARCHAR2, silver VARCHAR2, rank VARCHAR2, total VARCHAR2)
| How many golds for nations ranked below 4, over 5 medals, and under 6 silvers? | SELECT COUNT(gold) FROM table_name_26 WHERE rank > 4 AND total > 5 AND silver < 6 | SELECT COUNT("gold") FROM "table_name_26" WHERE "rank" > 4 AND "silver" < 6 AND "total" > 5 | 0.088867 |
CREATE TABLE table_name_1 (record VARCHAR2, attendance VARCHAR2)
| What is the record of the game with 18,084 in attendance? | SELECT record FROM table_name_1 WHERE attendance = "18,084" | SELECT "record" FROM "table_name_1" WHERE "18,084" = "attendance" | 0.063477 |
CREATE TABLE table_name_30 (father VARCHAR2, date_of_birth VARCHAR2)
| Who is the father that was born on January 2, 1842? | SELECT father FROM table_name_30 WHERE date_of_birth = "january 2, 1842" | SELECT "father" FROM "table_name_30" WHERE "date_of_birth" = "january 2, 1842" | 0.076172 |
CREATE TABLE table_6212 ("Date" CLOB, "Course" CLOB, "Distance" CLOB, "Type" CLOB, "Winner" CLOB)
| What is the distance for the 5 September race? | SELECT "Distance" FROM table_6212 WHERE "Date" = '5 september' | SELECT "Distance" FROM "table_6212" WHERE "Date" = '5 september' | 0.0625 |
CREATE TABLE table_73566 ("Order number" CLOB, "Build date" CLOB, "Serial numbers" CLOB, "Country" CLOB, "Railroad" CLOB, "Numbers" CLOB, "Quantity" FLOAT)
| The order number 713726-713735 has what serial number? | SELECT "Serial numbers" FROM table_73566 WHERE "Order number" = '713726-713735' | SELECT "Serial numbers" FROM "table_73566" WHERE "Order number" = '713726-713735' | 0.079102 |
CREATE TABLE table_train_132 ("id" NUMBER, "loss_of_consciousness" BOOLEAN, "deep_venous_thrombosis" BOOLEAN, "unstable_angina" BOOLEAN, "thromboembolic_vascular_disease" BOOLEAN, "head_injury" BOOLEAN, "stroke" BOOLEAN, "cerebrovascular_disease" BOOLEAN, "mental_retardation" BOOLEAN, "psychiatric_disease" BOOLEAN, "modified_hachinski_ischemia_scale" NUMBER, "systemic_illness" BOOLEAN, "mental_illness" BOOLEAN, "hydrocephalus" BOOLEAN, "mri" BOOLEAN, "psychotic_disorder" BOOLEAN, "pulmonary_embolus" BOOLEAN, "arrythmias" BOOLEAN, "lacunar_infarcts" BOOLEAN, "bipolar_disorder" BOOLEAN, "cva" BOOLEAN, "cardiac_disease" BOOLEAN, "brain_damage" BOOLEAN, "neurological_disease" BOOLEAN, "seizure_disorder" BOOLEAN, "vascular_dementia" BOOLEAN, "organ_failure" BOOLEAN, "parkinson_disease" BOOLEAN, "lewy_body_disease" BOOLEAN, "hypertension" BOOLEAN, "NOUSE" FLOAT)
| significant systemic illness ( including uncontrolled hypertension ) or organ failure. | SELECT * FROM table_train_132 WHERE systemic_illness = 1 OR hypertension = 1 OR organ_failure = 1 | SELECT * FROM "table_train_132" WHERE "hypertension" = 1 OR "organ_failure" = 1 OR "systemic_illness" = 1 | 0.102539 |
CREATE TABLE table_36275 ("Game" FLOAT, "January" FLOAT, "Opponent" CLOB, "Score" CLOB, "Record" CLOB)
| What is the total number in January when the St. Louis Blues had a game smaller than 42? | SELECT COUNT("January") FROM table_36275 WHERE "Opponent" = 'st. louis blues' AND "Game" < '42' | SELECT COUNT("January") FROM "table_36275" WHERE "Game" < '42' AND "Opponent" = 'st. louis blues' | 0.094727 |
CREATE TABLE table_name_84 (poles NUMBER, position VARCHAR2, team VARCHAR2)
| What is the lowest poles of team comtec racing, which has a nc position? | SELECT MIN(poles) FROM table_name_84 WHERE position = "nc" AND team = "comtec racing" | SELECT MIN("poles") FROM "table_name_84" WHERE "comtec racing" = "team" AND "nc" = "position" | 0.09082 |
CREATE TABLE table_24465 ("Category" CLOB, "Sub-category" CLOB, "Cab size" CLOB, "Drive wheels" CLOB, "Capacity ( litres ) " CLOB)
| Name the capacity for single cab size 2 medium tanker | SELECT "Capacity (litres)" FROM table_24465 WHERE "Cab size" = 'Single' AND "Category" = '2 Medium tanker' | SELECT "Capacity (litres)" FROM "table_24465" WHERE "Cab size" = 'Single' AND "Category" = '2 Medium tanker' | 0.105469 |
CREATE TABLE table_20750731_1 (obama_percentage VARCHAR2, mccain_percentage VARCHAR2)
| What was the Obama% when McCain% was 61.2%? | SELECT obama_percentage FROM table_20750731_1 WHERE mccain_percentage = "61.2%" | SELECT "obama_percentage" FROM "table_20750731_1" WHERE "61.2%" = "mccain_percentage" | 0.083008 |
CREATE TABLE table_48828 ("Round" FLOAT, "Pick" FLOAT, "Overall" FLOAT, "Name" CLOB, "Position" CLOB, "College" CLOB)
| How many picks have charley sanders as the name, with a round greater than 22? | SELECT SUM("Pick") FROM table_48828 WHERE "Name" = 'charley sanders' AND "Round" > '22' | SELECT SUM("Pick") FROM "table_48828" WHERE "Name" = 'charley sanders' AND "Round" > '22' | 0.086914 |
CREATE TABLE table_42180 ("Name" CLOB, "Team" CLOB, "Laps" FLOAT, "Time/Retired" CLOB, "Grid" FLOAT)
| What is the highest Grid with a Name that is jamie whincup? | SELECT MAX("Grid") FROM table_42180 WHERE "Name" = 'jamie whincup' | SELECT MAX("Grid") FROM "table_42180" WHERE "Name" = 'jamie whincup' | 0.066406 |
CREATE TABLE table_39832 ("Name" CLOB, "Height" CLOB, "Position" CLOB, "Year" CLOB, "Home Town" CLOB)
| What is the Position of the Player from Temple Hills, MD? | SELECT "Position" FROM table_39832 WHERE "Home Town" = 'temple hills, md' | SELECT "Position" FROM "table_39832" WHERE "Home Town" = 'temple hills, md' | 0.073242 |
CREATE TABLE COURSE (CRS_CODE VARCHAR2, DEPT_CODE VARCHAR2, CRS_DESCRIPTION VARCHAR2, CRS_CREDIT FLOAT)
CREATE TABLE DEPARTMENT (DEPT_CODE VARCHAR2, DEPT_NAME VARCHAR2, SCHOOL_CODE VARCHAR2, EMP_NUM NUMBER, DEPT_ADDRESS VARCHAR2, DEPT_EXTENSION VARCHAR2)
CREATE TABLE STUDENT (STU_NUM NUMBER, STU_LNAME VARCHAR2, STU_FNAME VARCHAR2, STU_INIT VARCHAR2, STU_DOB DATETIME, STU_HRS NUMBER, STU_CLASS VARCHAR2, STU_GPA FLOAT, STU_TRANSFER NUMBER, DEPT_CODE VARCHAR2, STU_PHONE VARCHAR2, PROF_NUM NUMBER)
CREATE TABLE PROFESSOR (EMP_NUM NUMBER, DEPT_CODE VARCHAR2, PROF_OFFICE VARCHAR2, PROF_EXTENSION VARCHAR2, PROF_HIGH_DEGREE VARCHAR2)
CREATE TABLE CLASS (CLASS_CODE VARCHAR2, CRS_CODE VARCHAR2, CLASS_SECTION VARCHAR2, CLASS_TIME VARCHAR2, CLASS_ROOM VARCHAR2, PROF_NUM NUMBER)
CREATE TABLE EMPLOYEE (EMP_NUM NUMBER, EMP_LNAME VARCHAR2, EMP_FNAME VARCHAR2, EMP_INITIAL VARCHAR2, EMP_JOBCODE VARCHAR2, EMP_HIREDATE DATETIME, EMP_DOB DATETIME)
CREATE TABLE ENROLL (CLASS_CODE VARCHAR2, STU_NUM NUMBER, ENROLL_GRADE VARCHAR2)
| What is the date of birth of professors teaching course ACCT-211? Bin the date by year interval in a line chart, and sort by the EMP_DOB in asc please. | SELECT EMP_DOB, COUNT(EMP_DOB) FROM EMPLOYEE AS T1 JOIN CLASS AS T2 ON T1.EMP_NUM = T2.PROF_NUM WHERE CRS_CODE = "ACCT-211" ORDER BY EMP_DOB | SELECT "EMP_DOB", COUNT("EMP_DOB") FROM "EMPLOYEE" "T1" JOIN "CLASS" "T2" ON "T1"."EMP_NUM" = "T2"."PROF_NUM" WHERE "ACCT-211" = "CRS_CODE" ORDER BY "EMP_DOB" | 0.154297 |
CREATE TABLE table_name_58 (oil_pattern VARCHAR2, winner__title__number_ VARCHAR2)
| Which Oil Pattern has a Winner (Title #) of mike wolfe (3)? | SELECT oil_pattern FROM table_name_58 WHERE winner__title__number_ = "mike wolfe (3)" | SELECT "oil_pattern" FROM "table_name_58" WHERE "mike wolfe (3)" = "winner__title__number_" | 0.088867 |
CREATE TABLE table_name_33 (crowd NUMBER, away_team VARCHAR2)
| What is the average crowd size when North Melbourne is the away team? | SELECT AVG(crowd) FROM table_name_33 WHERE away_team = "north melbourne" | SELECT AVG("crowd") FROM "table_name_33" WHERE "away_team" = "north melbourne" | 0.076172 |
CREATE TABLE table_71897 ("Year" FLOAT, "Men's singles" CLOB, "Women's singles" CLOB, "Men's doubles" CLOB, "Women's doubles" CLOB, "Mixed doubles" CLOB)
| What is the year in which Yong Yudianto won the men's singles? | SELECT MIN("Year") FROM table_71897 WHERE "Men's singles" = 'yong yudianto' | SELECT MIN("Year") FROM "table_71897" WHERE "Men's singles" = 'yong yudianto' | 0.075195 |
CREATE TABLE ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
CREATE TABLE ReviewTaskResultTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Users (Id NUMBER, Reputation NUMBER, CreationDate TIME, DisplayName CLOB, LastAccessDate TIME, WebsiteUrl CLOB, Location CLOB, AboutMe CLOB, Views NUMBER, UpVotes NUMBER, DownVotes NUMBER, ProfileImageUrl CLOB, EmailHash CLOB, AccountId NUMBER)
CREATE TABLE ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment 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 PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId NUMBER)
CREATE TABLE PendingFlags (Id NUMBER, FlagTypeId NUMBER, PostId NUMBER, CreationDate TIME, CloseReasonTypeId NUMBER, CloseAsOffTopicReasonTypeId NUMBER, DuplicateOfQuestionId NUMBER, BelongsOnBaseHostAddress CLOB)
CREATE TABLE Posts (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE VoteTypes (Id NUMBER, Name CLOB)
CREATE TABLE PostTypes (Id NUMBER, Name CLOB)
CREATE TABLE TagSynonyms (Id NUMBER, SourceTagName CLOB, TargetTagName CLOB, CreationDate TIME, OwnerUserId NUMBER, AutoRenameCount NUMBER, LastAutoRename TIME, Score NUMBER, ApprovedByUserId NUMBER, ApprovalDate TIME)
CREATE TABLE PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
CREATE TABLE CloseReasonTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE ReviewTaskTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId NUMBER)
CREATE TABLE PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
CREATE TABLE PostHistoryTypes (Id NUMBER, Name CLOB)
CREATE TABLE PostHistory (Id NUMBER, PostHistoryTypeId NUMBER, PostId NUMBER, RevisionGUID other, CreationDate TIME, UserId NUMBER, UserDisplayName CLOB, Comment CLOB, Text CLOB, ContentLicense CLOB)
CREATE TABLE 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 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 Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
CREATE TABLE Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
CREATE TABLE FlagTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Comments (Id NUMBER, PostId NUMBER, Score NUMBER, Text CLOB, CreationDate TIME, UserDisplayName CLOB, UserId NUMBER, ContentLicense CLOB)
CREATE TABLE Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount NUMBER)
CREATE TABLE ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId NUMBER)
CREATE TABLE PostTags (PostId NUMBER, TagId NUMBER)
CREATE TABLE SuggestedEditVotes (Id NUMBER, SuggestedEditId NUMBER, UserId NUMBER, VoteTypeId NUMBER, CreationDate TIME, TargetUserId NUMBER, TargetRepChange NUMBER)
CREATE TABLE ReviewTaskStates (Id NUMBER, Name CLOB, Description CLOB)
| Answers from users whose first answer is in 2015. | SELECT q.Id AS "post_link", a.Id AS "answer_link", a.Score AS "votes", u.CreationDate AS "user_arrival", q.Tags AS "tags" FROM Posts AS a JOIN Users AS u ON a.OwnerUserId = u.Id JOIN Posts AS q ON q.Id = a.ParentId WHERE u.CreationDate >= STR_TO_TIME('1 JAN 2015', '%d %b %Y') AND u.CreationDate < STR_TO_TIME('1 JAN 2016', '%d %b %Y') AND a.Score >= @votes AND (@tag = '' OR q.Tags LIKE '%<' + @tag + '>%') ORDER BY u.CreationDate | SELECT "q"."Id" AS "post_link", "a"."Id" AS "answer_link", "a"."Score" AS "votes", "u"."CreationDate" AS "user_arrival", "q"."Tags" AS "tags" FROM "Posts" "a" JOIN "Posts" "q" ON "a"."ParentId" = "q"."Id" AND ("q"."Tags" LIKE '%<' + @tag + '>%' OR @tag = '') JOIN "Users" "u" ON "a"."OwnerUserId" = "u"."Id" AND "u"."CreationDate" < TO_TIMESTAMP('1 JAN 2016', 'DD MON YYYY') AND "u"."CreationDate" >= TO_TIMESTAMP('1 JAN 2015', 'DD MON YYYY') WHERE "a"."Score" >= @votes ORDER BY "u"."CreationDate" | 0.486328 |
CREATE TABLE table_71109 ("Year" FLOAT, "Title" CLOB, "Role" CLOB, "Cast" CLOB, "Live / Studio" CLOB, "Label" CLOB)
| Is it live or studio before 1983? | SELECT "Live / Studio" FROM table_71109 WHERE "Year" < '1983' | SELECT "Live / Studio" FROM "table_71109" WHERE "Year" < '1983' | 0.061523 |
CREATE TABLE chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
CREATE TABLE cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE transfers (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, eventtype CLOB, careunit CLOB, wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
CREATE TABLE patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
CREATE TABLE prescriptions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, startdate TIME, enddate TIME, drug CLOB, dose_val_rx CLOB, dose_unit_rx CLOB, route CLOB)
CREATE TABLE labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
CREATE TABLE admissions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, admittime TIME, dischtime TIME, admission_type CLOB, admission_location CLOB, discharge_location CLOB, insurance CLOB, language CLOB, marital_status CLOB, ethnicity CLOB, age NUMBER)
CREATE TABLE icustays (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, first_careunit CLOB, last_careunit CLOB, first_wardid NUMBER, last_wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
CREATE TABLE d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
| count the number of medications patient 73713 had been prescribed in the previous month. | SELECT COUNT(*) FROM prescriptions WHERE prescriptions.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 73713) AND DATETIME(prescriptions.startdate, 'start of month') = DATETIME(CURRENT_TIME(), 'start of month', '-1 month') | WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 73713 GROUP BY "hadm_id") SELECT COUNT(*) FROM "prescriptions" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "prescriptions"."hadm_id" WHERE DATETIME("prescriptions"."startdate", 'start of month') = DATETIME(CURRENT_TIME(), 'start of month', '-1 month') AND NOT "_u_0"."" IS NULL | 0.361328 |
CREATE TABLE table_name_78 (score VARCHAR2, high_points VARCHAR2)
| What was the final score for the game in which Carmelo Anthony (26) was the high points scorer? | SELECT score FROM table_name_78 WHERE high_points = "carmelo anthony (26)" | SELECT "score" FROM "table_name_78" WHERE "carmelo anthony (26)" = "high_points" | 0.078125 |
CREATE TABLE table_36931 ("Date" CLOB, "Visitor" CLOB, "Score" CLOB, "Home" CLOB, "Leading scorer" CLOB, "Attendance" FLOAT, "Record" CLOB)
| Which home team was playing on January 13? | SELECT "Home" FROM table_36931 WHERE "Date" = 'january 13' | SELECT "Home" FROM "table_36931" WHERE "Date" = 'january 13' | 0.058594 |
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