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CREATE TABLE table_204_49 (id NUMBER, "city" CLOB, "country" CLOB, "iata" CLOB, "icao" CLOB, "airport" CLOB, "commenced" NUMBER, "ended" CLOB)
| which one is last on the chart | SELECT "city" FROM table_204_49 ORDER BY id DESC LIMIT 1 | SELECT "city" FROM "table_204_49" ORDER BY "id" DESC FETCH FIRST 1 ROWS ONLY | 0.074219 |
CREATE TABLE table_name_56 (team__number2 VARCHAR2)
| what's the first leg with gran canaria as team #2? | SELECT 1 AS st_leg FROM table_name_56 WHERE team__number2 = "gran canaria" | SELECT 1 AS "st_leg" FROM "table_name_56" WHERE "gran canaria" = "team__number2" | 0.078125 |
CREATE TABLE table_71458 ("Entrant" CLOB, "Constructor" CLOB, "Chassis" CLOB, "Engine \\u2020" CLOB, "Tyre" CLOB, "Driver" CLOB, "Rounds" CLOB)
| Which constructor made the car with a rb1 chassis and which is driven by David Coulthard? | SELECT "Constructor" FROM table_71458 WHERE "Chassis" = 'rb1' AND "Driver" = 'david coulthard' | SELECT "Constructor" FROM "table_71458" WHERE "Chassis" = 'rb1' AND "Driver" = 'david coulthard' | 0.09375 |
CREATE TABLE instructor (instructor_id NUMBER, name VARCHAR2, uniqname VARCHAR2)
CREATE TABLE course_prerequisite (pre_course_id NUMBER, course_id NUMBER)
CREATE TABLE student (student_id NUMBER, lastname VARCHAR2, firstname VARCHAR2, program_id NUMBER, declare_major VARCHAR2, total_credit NUMBER, total_gpa FLOAT, entered_as VARCHAR2, admit_term NUMBER, predicted_graduation_semester NUMBER, degree VARCHAR2, minor VARCHAR2, internship VARCHAR2)
CREATE TABLE course_tags_count (course_id NUMBER, clear_grading NUMBER, pop_quiz NUMBER, group_projects NUMBER, inspirational NUMBER, long_lectures NUMBER, extra_credit NUMBER, few_tests NUMBER, good_feedback NUMBER, tough_tests NUMBER, heavy_papers NUMBER, cares_for_students NUMBER, heavy_assignments NUMBER, respected NUMBER, participation NUMBER, heavy_reading NUMBER, tough_grader NUMBER, hilarious NUMBER, would_take_again NUMBER, good_lecture NUMBER, no_skip NUMBER)
CREATE TABLE student_record (student_id NUMBER, course_id NUMBER, semester NUMBER, grade VARCHAR2, how VARCHAR2, transfer_source VARCHAR2, earn_credit VARCHAR2, repeat_term VARCHAR2, test_id VARCHAR2)
CREATE TABLE requirement (requirement_id NUMBER, requirement VARCHAR2, college VARCHAR2)
CREATE TABLE course (course_id NUMBER, name VARCHAR2, department VARCHAR2, number VARCHAR2, credits VARCHAR2, advisory_requirement VARCHAR2, enforced_requirement VARCHAR2, description VARCHAR2, num_semesters NUMBER, num_enrolled NUMBER, has_discussion VARCHAR2, has_lab VARCHAR2, has_projects VARCHAR2, has_exams VARCHAR2, num_reviews NUMBER, clarity_score NUMBER, easiness_score NUMBER, helpfulness_score NUMBER)
CREATE TABLE ta (campus_job_id NUMBER, student_id NUMBER, location VARCHAR2)
CREATE TABLE gsi (course_offering_id NUMBER, student_id NUMBER)
CREATE TABLE course_offering (offering_id NUMBER, course_id NUMBER, semester NUMBER, section_number NUMBER, start_time TIME, end_time TIME, monday VARCHAR2, tuesday VARCHAR2, wednesday VARCHAR2, thursday VARCHAR2, friday VARCHAR2, saturday VARCHAR2, sunday VARCHAR2, has_final_project VARCHAR2, has_final_exam VARCHAR2, textbook VARCHAR2, class_address VARCHAR2, allow_audit VARCHAR2)
CREATE TABLE program_requirement (program_id NUMBER, category VARCHAR2, min_credit NUMBER, additional_req VARCHAR2)
CREATE TABLE program_course (program_id NUMBER, course_id NUMBER, workload NUMBER, category VARCHAR2)
CREATE TABLE area (course_id NUMBER, area VARCHAR2)
CREATE TABLE jobs (job_id NUMBER, job_title VARCHAR2, description VARCHAR2, requirement VARCHAR2, city VARCHAR2, state VARCHAR2, country VARCHAR2, zip NUMBER)
CREATE TABLE offering_instructor (offering_instructor_id NUMBER, offering_id NUMBER, instructor_id NUMBER)
CREATE TABLE program (program_id NUMBER, name VARCHAR2, college VARCHAR2, introduction VARCHAR2)
CREATE TABLE comment_instructor (instructor_id NUMBER, student_id NUMBER, score NUMBER, comment_text VARCHAR2)
CREATE TABLE semester (semester_id NUMBER, semester VARCHAR2, year NUMBER)
| Are the JAZZ classes that I have taken amongst the most difficult ones ? | SELECT DISTINCT course.department, course.name, course.number, program_course.workload FROM course INNER JOIN student_record ON student_record.course_id = course.course_id INNER JOIN program_course ON program_course.course_id = course.course_id WHERE course.department = 'JAZZ' AND program_course.workload = (SELECT MAX(PROGRAM_COURSEalias1.workload) FROM program_course AS PROGRAM_COURSEalias1 INNER JOIN course AS COURSEalias1 ON PROGRAM_COURSEalias1.course_id = COURSEalias1.course_id WHERE COURSEalias1.department = 'JAZZ') AND student_record.student_id = 1 | WITH "_u_0" AS (SELECT MAX("PROGRAM_COURSEalias1"."workload") FROM "program_course" "PROGRAM_COURSEalias1" JOIN "course" "COURSEalias1" ON "COURSEalias1"."course_id" = "PROGRAM_COURSEalias1"."course_id" AND "COURSEalias1"."department" = 'JAZZ') SELECT DISTINCT "course"."department", "course"."name", "course"."number", "program_course"."workload" FROM "course" JOIN "program_course" ON "course"."course_id" = "program_course"."course_id" JOIN "student_record" ON "course"."course_id" = "student_record"."course_id" AND "student_record"."student_id" = 1 JOIN "_u_0" "_u_0" ON "_u_0"."" = "program_course"."workload" WHERE "course"."department" = 'JAZZ' | 0.636719 |
CREATE TABLE table_name_9 (player VARCHAR2, pick VARCHAR2)
| Tell me the player for pick of 145 | SELECT player FROM table_name_9 WHERE pick = "145" | SELECT "player" FROM "table_name_9" WHERE "145" = "pick" | 0.054688 |
CREATE TABLE table_25776 ("Game" FLOAT, "Date" CLOB, "Team" CLOB, "Score" CLOB, "High points" CLOB, "High rebounds" CLOB, "High assists" CLOB, "Location Attendance" CLOB, "Record" CLOB)
| Who did the high assists in the game against Portland? | SELECT "High assists" FROM table_25776 WHERE "Team" = 'Portland' | SELECT "High assists" FROM "table_25776" WHERE "Team" = 'Portland' | 0.064453 |
CREATE TABLE table_204_971 (id NUMBER, "m" NUMBER, "date" CLOB, "tournament" CLOB, "round" CLOB, "ground" CLOB, "opponent" CLOB, "score" CLOB, "attendance" NUMBER, "dinamo scorers" CLOB, "report" CLOB)
| how many games were attended by at least 8,000 people ? | SELECT COUNT(*) FROM table_204_971 WHERE "attendance" >= 8000 | SELECT COUNT(*) FROM "table_204_971" WHERE "attendance" >= 8000 | 0.061523 |
CREATE TABLE table_57266 ("Year" FLOAT, "Network" CLOB, "Lap-by-lap" CLOB, "s Color commentator" CLOB, "Pre-Race Host" CLOB, "Ratings" CLOB)
| When the Year is smaller than 2004, and Mike Joy is the Lap-by-lap, what are the Ratings? | SELECT "Ratings" FROM table_57266 WHERE "Year" < '2004' AND "Lap-by-lap" = 'mike joy' | SELECT "Ratings" FROM "table_57266" WHERE "Lap-by-lap" = 'mike joy' AND "Year" < '2004' | 0.084961 |
CREATE TABLE coach (Coach_ID NUMBER, Coach_name CLOB, Gender CLOB, Club_ID NUMBER, Rank NUMBER)
CREATE TABLE player_coach (Player_ID NUMBER, Coach_ID NUMBER, Starting_year NUMBER)
CREATE TABLE player (Player_ID NUMBER, Sponsor_name CLOB, Player_name CLOB, Gender CLOB, Residence CLOB, Occupation CLOB, Votes NUMBER, Rank CLOB)
CREATE TABLE club (Club_ID NUMBER, Club_name CLOB, Region CLOB, Start_year NUMBER)
CREATE TABLE match_result (Rank NUMBER, Club_ID NUMBER, Gold NUMBER, Big_Silver NUMBER, Small_Silver NUMBER, Bronze NUMBER, Points NUMBER)
| Bar chart x axis occupation y axis how many occupation, and rank by the y-axis from low to high. | SELECT Occupation, COUNT(Occupation) FROM player GROUP BY Occupation ORDER BY COUNT(Occupation) | SELECT "Occupation", COUNT("Occupation") FROM "player" GROUP BY "Occupation" ORDER BY COUNT("Occupation") | 0.102539 |
CREATE TABLE payment (payment_date VARCHAR2)
| When did the first payment happen? | SELECT payment_date FROM payment ORDER BY payment_date LIMIT 1 | SELECT "payment_date" FROM "payment" ORDER BY "payment_date" FETCH FIRST 1 ROWS ONLY | 0.082031 |
CREATE TABLE table_8693 ("Place" CLOB, "Player" CLOB, "Country" CLOB, "Score" CLOB, "To par" FLOAT, "Money ( $ ) " FLOAT)
| What is Place, when To Par is less than 15, and when Score is 76-72-75-71=294? | SELECT "Place" FROM table_8693 WHERE "To par" < '15' AND "Score" = '76-72-75-71=294' | SELECT "Place" FROM "table_8693" WHERE "Score" = '76-72-75-71=294' AND "To par" < '15' | 0.083984 |
CREATE TABLE table_name_53 (year VARCHAR2)
| What was the 3rd place value in 2011? | SELECT 3 AS rd_place FROM table_name_53 WHERE year = "2011" | SELECT 3 AS "rd_place" FROM "table_name_53" WHERE "2011" = "year" | 0.063477 |
CREATE TABLE table_name_54 (time VARCHAR2, nationality VARCHAR2)
| What is the time for Russia? | SELECT time FROM table_name_54 WHERE nationality = "russia" | SELECT "time" FROM "table_name_54" WHERE "nationality" = "russia" | 0.063477 |
CREATE TABLE table_name_25 (region VARCHAR2, rank VARCHAR2)
| What region has a 5 rank? | SELECT region FROM table_name_25 WHERE rank = 5 | SELECT "region" FROM "table_name_25" WHERE "rank" = 5 | 0.051758 |
CREATE TABLE table_name_74 (wins NUMBER, goal_difference VARCHAR2, goals_against VARCHAR2, points VARCHAR2)
| What is the highest wins entry with fewer than 51 goals, more than 39 points, and a goal difference smaller than 13? | SELECT MAX(wins) FROM table_name_74 WHERE goals_against < 51 AND points > 39 AND goal_difference < 13 | SELECT MAX("wins") FROM "table_name_74" WHERE "goal_difference" < 13 AND "goals_against" < 51 AND "points" > 39 | 0.108398 |
CREATE TABLE journal_committee (Editor_ID NUMBER, Journal_ID NUMBER, Work_Type CLOB)
CREATE TABLE journal (Journal_ID NUMBER, Date CLOB, Theme CLOB, Sales NUMBER)
CREATE TABLE editor (Editor_ID NUMBER, Name CLOB, Age FLOAT)
| Show the names of editors that are on the committee of journals with sales bigger than 3000, and count them by a pie chart | SELECT Name, COUNT(Name) FROM journal_committee AS T1 JOIN editor AS T2 ON T1.Editor_ID = T2.Editor_ID JOIN journal AS T3 ON T1.Journal_ID = T3.Journal_ID WHERE T3.Sales > 3000 GROUP BY Name | SELECT "Name", COUNT("Name") FROM "journal_committee" "T1" JOIN "editor" "T2" ON "T1"."Editor_ID" = "T2"."Editor_ID" JOIN "journal" "T3" ON "T1"."Journal_ID" = "T3"."Journal_ID" AND "T3"."Sales" > 3000 GROUP BY "Name" | 0.211914 |
CREATE TABLE table_name_75 (time VARCHAR2, release_date VARCHAR2, track VARCHAR2)
| What was the time for tracks before 19 on 8/26/69? | SELECT time FROM table_name_75 WHERE release_date = "8/26/69" AND track < 19 | SELECT "time" FROM "table_name_75" WHERE "8/26/69" = "release_date" AND "track" < 19 | 0.082031 |
CREATE TABLE table_name_48 (position VARCHAR2, year VARCHAR2, name VARCHAR2)
| What Position did the sophomore Darnell Jackson play? | SELECT position FROM table_name_48 WHERE year = "sophomore" AND name = "darnell jackson" | SELECT "position" FROM "table_name_48" WHERE "darnell jackson" = "name" AND "sophomore" = "year" | 0.09375 |
CREATE TABLE table_name_71 (game VARCHAR2, record VARCHAR2)
| What is the Game with a Record of 19-15? | SELECT game FROM table_name_71 WHERE record = "19-15" | SELECT "game" FROM "table_name_71" WHERE "19-15" = "record" | 0.057617 |
CREATE TABLE table_name_48 (date VARCHAR2, stadium VARCHAR2, final_score VARCHAR2)
| What is the date that a game at the Alltel Stadium had a final score of 6-20? | SELECT date FROM table_name_48 WHERE stadium = "alltel stadium" AND final_score = "6-20" | SELECT "date" FROM "table_name_48" WHERE "6-20" = "final_score" AND "alltel stadium" = "stadium" | 0.09375 |
CREATE TABLE table_1566850_9 (cover_model VARCHAR2)
| Who was asked 20 questions in the issue where the cover model is Linda Brava? | SELECT 20 AS _questions FROM table_1566850_9 WHERE cover_model = "Linda Brava" | SELECT 20 AS "_questions" FROM "table_1566850_9" WHERE "Linda Brava" = "cover_model" | 0.082031 |
CREATE TABLE gsi (course_offering_id NUMBER, student_id 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 requirement (requirement_id NUMBER, requirement VARCHAR2, college VARCHAR2)
CREATE TABLE course (course_id NUMBER, name VARCHAR2, department VARCHAR2, number VARCHAR2, credits VARCHAR2, advisory_requirement VARCHAR2, enforced_requirement VARCHAR2, description VARCHAR2, num_semesters NUMBER, num_enrolled NUMBER, has_discussion VARCHAR2, has_lab VARCHAR2, has_projects VARCHAR2, has_exams VARCHAR2, num_reviews NUMBER, clarity_score NUMBER, easiness_score NUMBER, helpfulness_score NUMBER)
CREATE TABLE student (student_id NUMBER, lastname VARCHAR2, firstname VARCHAR2, program_id NUMBER, declare_major VARCHAR2, total_credit NUMBER, total_gpa FLOAT, entered_as VARCHAR2, admit_term NUMBER, predicted_graduation_semester NUMBER, degree VARCHAR2, minor VARCHAR2, internship VARCHAR2)
CREATE TABLE offering_instructor (offering_instructor_id NUMBER, offering_id NUMBER, instructor_id NUMBER)
CREATE TABLE program (program_id NUMBER, name VARCHAR2, college VARCHAR2, introduction VARCHAR2)
CREATE TABLE area (course_id NUMBER, area VARCHAR2)
CREATE TABLE program_requirement (program_id NUMBER, category VARCHAR2, min_credit NUMBER, additional_req VARCHAR2)
CREATE TABLE comment_instructor (instructor_id NUMBER, student_id NUMBER, score NUMBER, comment_text VARCHAR2)
CREATE TABLE course_offering (offering_id NUMBER, course_id NUMBER, semester NUMBER, section_number NUMBER, start_time TIME, end_time TIME, monday VARCHAR2, tuesday VARCHAR2, wednesday VARCHAR2, thursday VARCHAR2, friday VARCHAR2, saturday VARCHAR2, sunday VARCHAR2, has_final_project VARCHAR2, has_final_exam VARCHAR2, textbook VARCHAR2, class_address VARCHAR2, allow_audit VARCHAR2)
CREATE TABLE program_course (program_id NUMBER, course_id NUMBER, workload NUMBER, category VARCHAR2)
CREATE TABLE instructor (instructor_id NUMBER, name VARCHAR2, uniqname VARCHAR2)
CREATE TABLE course_prerequisite (pre_course_id NUMBER, course_id NUMBER)
CREATE TABLE ta (campus_job_id NUMBER, student_id NUMBER, location VARCHAR2)
CREATE TABLE course_tags_count (course_id NUMBER, clear_grading NUMBER, pop_quiz NUMBER, group_projects NUMBER, inspirational NUMBER, long_lectures NUMBER, extra_credit NUMBER, few_tests NUMBER, good_feedback NUMBER, tough_tests NUMBER, heavy_papers NUMBER, cares_for_students NUMBER, heavy_assignments NUMBER, respected NUMBER, participation NUMBER, heavy_reading NUMBER, tough_grader NUMBER, hilarious NUMBER, would_take_again NUMBER, good_lecture NUMBER, no_skip NUMBER)
CREATE TABLE semester (semester_id NUMBER, semester VARCHAR2, year NUMBER)
CREATE TABLE jobs (job_id NUMBER, job_title VARCHAR2, description VARCHAR2, requirement VARCHAR2, city VARCHAR2, state VARCHAR2, country VARCHAR2, zip NUMBER)
| Before taking ELI 312 , which courses should I take ? | SELECT DISTINCT advisory_requirement FROM course WHERE department = 'ELI' AND number = 312 | SELECT DISTINCT "advisory_requirement" FROM "course" WHERE "department" = 'ELI' AND "number" = 312 | 0.095703 |
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
| how many patients are below 47 years of age and followed with procedure icd9 code 9920? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.age < "47" AND procedures.icd9_code = "9920" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "procedures" ON "9920" = "procedures"."icd9_code" AND "demographic"."hadm_id" = "procedures"."hadm_id" WHERE "47" > "demographic"."age" | 0.204102 |
CREATE TABLE table_name_91 (studio_host VARCHAR2, year VARCHAR2, play_by_play VARCHAR2, color_commentator_s_ VARCHAR2)
| Name the studio host for glenn ordway and jerry sichting with year of 1993-94 | SELECT studio_host FROM table_name_91 WHERE play_by_play = "glenn ordway" AND color_commentator_s_ = "jerry sichting" AND year = "1993-94" | SELECT "studio_host" FROM "table_name_91" WHERE "1993-94" = "year" AND "color_commentator_s_" = "jerry sichting" AND "glenn ordway" = "play_by_play" | 0.144531 |
CREATE TABLE table_name_52 (year NUMBER, category VARCHAR2)
| What was the total number of years than had best improved singer ( )? | SELECT SUM(year) FROM table_name_52 WHERE category = "best improved singer (躍進歌手)" | SELECT SUM("year") FROM "table_name_52" WHERE "best improved singer (躍進歌手)" = "category" | 0.085938 |
CREATE TABLE airport_service (city_code VARCHAR2, airport_code VARCHAR2, miles_distant NUMBER, direction VARCHAR2, minutes_distant NUMBER)
CREATE TABLE code_description (code VARCHAR2, description CLOB)
CREATE TABLE 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 equipment_sequence (aircraft_code_sequence VARCHAR2, aircraft_code VARCHAR2)
CREATE TABLE time_zone (time_zone_code CLOB, time_zone_name CLOB, hours_from_gmt NUMBER)
CREATE TABLE aircraft (aircraft_code VARCHAR2, aircraft_description VARCHAR2, manufacturer VARCHAR2, basic_type VARCHAR2, engines NUMBER, propulsion VARCHAR2, wide_body VARCHAR2, wing_span NUMBER, length NUMBER, weight NUMBER, capacity NUMBER, pay_load NUMBER, cruising_speed NUMBER, range_miles NUMBER, pressurized VARCHAR2)
CREATE TABLE date_day (month_number NUMBER, day_number NUMBER, year NUMBER, day_name VARCHAR2)
CREATE TABLE flight_stop (flight_id NUMBER, stop_number NUMBER, stop_days CLOB, stop_airport CLOB, arrival_time NUMBER, arrival_airline CLOB, arrival_flight_number NUMBER, departure_time NUMBER, departure_airline CLOB, departure_flight_number NUMBER, stop_time NUMBER)
CREATE TABLE restriction (restriction_code CLOB, advance_purchase NUMBER, stopovers CLOB, saturday_stay_required CLOB, minimum_stay NUMBER, maximum_stay NUMBER, application CLOB, no_discounts CLOB)
CREATE TABLE flight_fare (flight_id NUMBER, fare_id NUMBER)
CREATE TABLE time_interval (period CLOB, begin_time NUMBER, end_time 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 airline (airline_code VARCHAR2, airline_name CLOB, note CLOB)
CREATE TABLE city (city_code VARCHAR2, city_name VARCHAR2, state_code VARCHAR2, country_name VARCHAR2, time_zone_code VARCHAR2)
CREATE TABLE compartment_class (compartment VARCHAR2, class_type VARCHAR2)
CREATE TABLE days (days_code VARCHAR2, day_name VARCHAR2)
CREATE TABLE flight_leg (flight_id NUMBER, leg_number NUMBER, leg_flight NUMBER)
CREATE TABLE state (state_code CLOB, state_name CLOB, country_name CLOB)
CREATE TABLE dual_carrier (main_airline VARCHAR2, low_flight_number NUMBER, high_flight_number NUMBER, dual_airline VARCHAR2, service_name CLOB)
CREATE TABLE airport (airport_code VARCHAR2, airport_name CLOB, airport_location CLOB, state_code VARCHAR2, country_name VARCHAR2, time_zone_code VARCHAR2, minimum_connect_time NUMBER)
CREATE TABLE class_of_service (booking_class VARCHAR2, rank NUMBER, class_description CLOB)
CREATE TABLE ground_service (city_code CLOB, airport_code CLOB, transport_type CLOB, ground_fare NUMBER)
CREATE TABLE month (month_number NUMBER, month_name CLOB)
CREATE TABLE food_service (meal_code CLOB, meal_number NUMBER, compartment CLOB, meal_description VARCHAR2)
CREATE TABLE fare_basis (fare_basis_code CLOB, booking_class CLOB, class_type CLOB, premium CLOB, economy CLOB, discounted CLOB, night CLOB, season CLOB, basis_days CLOB)
| what flights leave from BOSTON to PITTSBURGH in the morning | 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 = 'BOSTON' AND CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'PITTSBURGH' AND flight.from_airport = AIRPORT_SERVICE_0.airport_code AND flight.to_airport = AIRPORT_SERVICE_1.airport_code) AND flight.departure_time BETWEEN 0 AND 1200 | 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" = 'BOSTON' JOIN "flight" ON "AIRPORT_SERVICE_0"."airport_code" = "flight"."from_airport" AND "flight"."departure_time" <= 1200 AND "flight"."departure_time" >= 0 JOIN "airport_service" "AIRPORT_SERVICE_1" ON "AIRPORT_SERVICE_1"."airport_code" = "flight"."to_airport" JOIN "city" "CITY_1" ON "AIRPORT_SERVICE_1"."city_code" = "CITY_1"."city_code" AND "CITY_1"."city_name" = 'PITTSBURGH' | 0.555664 |
CREATE TABLE table_56983 ("Variant ( with Niqqud ) " CLOB, "without Niqqud" CLOB, "Phonemic Value" CLOB, "Phonetic Realisation" CLOB, "English example" CLOB)
| What is the variant with niqqud for a phonetic realisation of [[[|v]]]? | SELECT "Variant (with Niqqud )" FROM table_56983 WHERE "Phonetic Realisation" = '[[[|v]]]' | SELECT "Variant (with Niqqud )" FROM "table_56983" WHERE "Phonetic Realisation" = '[[[|v]]]' | 0.089844 |
CREATE TABLE table_66705 ("Year" CLOB, "Births ( 000s ) " FLOAT, "Deaths" FLOAT, "Natural Growth" FLOAT, "Total Fertility Rate" CLOB)
| What is the average births that had a death rate of 0.4 | SELECT AVG("Births (000s)") FROM table_66705 WHERE "Deaths" = '0.4' | SELECT AVG("Births (000s)") FROM "table_66705" WHERE "Deaths" = '0.4' | 0.067383 |
CREATE TABLE table_11340432_1 (information VARCHAR2, shadow_ridge VARCHAR2)
| How many informations does Michael Hawkins have? | SELECT COUNT(information) FROM table_11340432_1 WHERE shadow_ridge = "Michael Hawkins" | SELECT COUNT("information") FROM "table_11340432_1" WHERE "Michael Hawkins" = "shadow_ridge" | 0.089844 |
CREATE TABLE table_name_79 (event VARCHAR2, competition VARCHAR2, year VARCHAR2)
| Which Event has a Competition of chicago marathon, and a Year larger than 2004? | SELECT event FROM table_name_79 WHERE competition = "chicago marathon" AND year > 2004 | SELECT "event" FROM "table_name_79" WHERE "chicago marathon" = "competition" AND "year" > 2004 | 0.091797 |
CREATE TABLE member_of_club (stuid NUMBER, clubid NUMBER, position CLOB)
CREATE TABLE student (stuid NUMBER, lname CLOB, fname CLOB, age NUMBER, sex CLOB, major NUMBER, advisor NUMBER, city_code CLOB)
CREATE TABLE club (clubid NUMBER, clubname CLOB, clubdesc CLOB, clublocation CLOB)
| Find the description of the club 'Pen and Paper Gaming'. | SELECT clubdesc FROM club WHERE clubname = "Pen and Paper Gaming" | SELECT "clubdesc" FROM "club" WHERE "Pen and Paper Gaming" = "clubname" | 0.069336 |
CREATE TABLE table_37323 ("District" FLOAT, "Incumbent" CLOB, "2008 Status" CLOB, "Democratic" CLOB, "Republican" CLOB)
| Which Incumbent has a Republican of dan mansell? | SELECT "Incumbent" FROM table_37323 WHERE "Republican" = 'dan mansell' | SELECT "Incumbent" FROM "table_37323" WHERE "Republican" = 'dan mansell' | 0.070313 |
CREATE TABLE class_of_service (booking_class VARCHAR2, rank NUMBER, class_description CLOB)
CREATE TABLE airline (airline_code VARCHAR2, airline_name CLOB, note CLOB)
CREATE TABLE code_description (code VARCHAR2, description CLOB)
CREATE TABLE flight_stop (flight_id NUMBER, stop_number NUMBER, stop_days CLOB, stop_airport CLOB, arrival_time NUMBER, arrival_airline CLOB, arrival_flight_number NUMBER, departure_time NUMBER, departure_airline CLOB, departure_flight_number NUMBER, stop_time NUMBER)
CREATE TABLE 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 equipment_sequence (aircraft_code_sequence VARCHAR2, aircraft_code VARCHAR2)
CREATE TABLE fare (fare_id NUMBER, from_airport VARCHAR2, to_airport VARCHAR2, fare_basis_code CLOB, fare_airline CLOB, restriction_code CLOB, one_direction_cost NUMBER, round_trip_cost NUMBER, round_trip_required VARCHAR2)
CREATE TABLE state (state_code CLOB, state_name CLOB, country_name CLOB)
CREATE TABLE compartment_class (compartment VARCHAR2, class_type 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 airport (airport_code VARCHAR2, airport_name CLOB, airport_location CLOB, state_code VARCHAR2, country_name VARCHAR2, time_zone_code VARCHAR2, minimum_connect_time NUMBER)
CREATE TABLE fare_basis (fare_basis_code CLOB, booking_class CLOB, class_type CLOB, premium CLOB, economy CLOB, discounted CLOB, night CLOB, season CLOB, basis_days CLOB)
CREATE TABLE aircraft (aircraft_code VARCHAR2, aircraft_description VARCHAR2, manufacturer VARCHAR2, basic_type VARCHAR2, engines NUMBER, propulsion VARCHAR2, wide_body VARCHAR2, wing_span NUMBER, length NUMBER, weight NUMBER, capacity NUMBER, pay_load NUMBER, cruising_speed NUMBER, range_miles NUMBER, pressurized VARCHAR2)
CREATE TABLE flight_fare (flight_id NUMBER, fare_id NUMBER)
CREATE TABLE time_zone (time_zone_code CLOB, time_zone_name CLOB, hours_from_gmt NUMBER)
CREATE TABLE city (city_code VARCHAR2, city_name VARCHAR2, state_code VARCHAR2, country_name VARCHAR2, time_zone_code VARCHAR2)
CREATE TABLE ground_service (city_code CLOB, airport_code CLOB, transport_type CLOB, ground_fare NUMBER)
CREATE TABLE month (month_number NUMBER, month_name CLOB)
CREATE TABLE flight_leg (flight_id NUMBER, leg_number NUMBER, leg_flight NUMBER)
CREATE TABLE days (days_code VARCHAR2, day_name VARCHAR2)
CREATE TABLE date_day (month_number NUMBER, day_number NUMBER, year NUMBER, day_name VARCHAR2)
CREATE TABLE dual_carrier (main_airline VARCHAR2, low_flight_number NUMBER, high_flight_number NUMBER, dual_airline VARCHAR2, service_name CLOB)
CREATE TABLE restriction (restriction_code CLOB, advance_purchase NUMBER, stopovers CLOB, saturday_stay_required CLOB, minimum_stay NUMBER, maximum_stay NUMBER, application CLOB, no_discounts CLOB)
CREATE TABLE airport_service (city_code VARCHAR2, airport_code VARCHAR2, miles_distant NUMBER, direction VARCHAR2, minutes_distant NUMBER)
| show flights from SAN FRANCISCO to DENVER on a THURSDAY | 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, days, flight WHERE (CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'DENVER' AND days.day_name = 'THURSDAY' AND flight.flight_days = days.days_code AND flight.to_airport = AIRPORT_SERVICE_1.airport_code) AND CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'SAN FRANCISCO' AND flight.from_airport = AIRPORT_SERVICE_0.airport_code | SELECT DISTINCT "flight"."flight_id" FROM "airport_service" "AIRPORT_SERVICE_0" JOIN "city" "CITY_0" ON "AIRPORT_SERVICE_0"."city_code" = "CITY_0"."city_code" AND "CITY_0"."city_name" = 'SAN FRANCISCO' 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 "days" ON "days"."day_name" = 'THURSDAY' AND "days"."days_code" = "flight"."flight_days" JOIN "city" "CITY_1" ON "AIRPORT_SERVICE_1"."city_code" = "CITY_1"."city_code" AND "CITY_1"."city_name" = 'DENVER' | 0.579102 |
CREATE TABLE table_53113 ("Name" CLOB, "Actual version" CLOB, "System" CLOB, "Platform" CLOB, "License" CLOB)
| Which System's Name is Gemulator? | SELECT "System" FROM table_53113 WHERE "Name" = 'gemulator' | SELECT "System" FROM "table_53113" WHERE "Name" = 'gemulator' | 0.05957 |
CREATE TABLE table_name_60 (event VARCHAR2, opponent VARCHAR2, method VARCHAR2)
| Which event has an Opponent of akihiro gono, and a Method of decision? | SELECT event FROM table_name_60 WHERE opponent = "akihiro gono" AND method = "decision" | SELECT "event" FROM "table_name_60" WHERE "akihiro gono" = "opponent" AND "decision" = "method" | 0.092773 |
CREATE TABLE table_name_18 (date VARCHAR2, away VARCHAR2)
| What was victoria's away date? | SELECT date FROM table_name_18 WHERE away = "victoria" | SELECT "date" FROM "table_name_18" WHERE "away" = "victoria" | 0.058594 |
CREATE TABLE VoteTypes (Id NUMBER, Name CLOB)
CREATE TABLE SuggestedEditVotes (Id NUMBER, SuggestedEditId NUMBER, UserId NUMBER, VoteTypeId NUMBER, CreationDate TIME, TargetUserId NUMBER, TargetRepChange NUMBER)
CREATE TABLE Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
CREATE TABLE PostTags (PostId NUMBER, TagId NUMBER)
CREATE TABLE Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
CREATE TABLE PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId NUMBER)
CREATE TABLE PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
CREATE TABLE PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId NUMBER)
CREATE TABLE Users (Id NUMBER, Reputation NUMBER, CreationDate TIME, DisplayName CLOB, LastAccessDate TIME, WebsiteUrl CLOB, Location CLOB, AboutMe CLOB, Views NUMBER, UpVotes NUMBER, DownVotes NUMBER, ProfileImageUrl CLOB, EmailHash CLOB, AccountId NUMBER)
CREATE TABLE ReviewTaskResultTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE SuggestedEdits (Id NUMBER, PostId NUMBER, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId NUMBER, Comment CLOB, Text CLOB, Title CLOB, Tags CLOB, RevisionGUID other)
CREATE TABLE Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount NUMBER)
CREATE TABLE ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
CREATE TABLE PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
CREATE TABLE PostTypes (Id NUMBER, Name CLOB)
CREATE TABLE PostHistory (Id NUMBER, PostHistoryTypeId NUMBER, PostId NUMBER, RevisionGUID other, CreationDate TIME, UserId NUMBER, UserDisplayName CLOB, Comment CLOB, Text CLOB, ContentLicense CLOB)
CREATE TABLE Posts (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment CLOB)
CREATE TABLE ReviewTaskStates (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PendingFlags (Id NUMBER, FlagTypeId NUMBER, PostId NUMBER, CreationDate TIME, CloseReasonTypeId NUMBER, CloseAsOffTopicReasonTypeId NUMBER, DuplicateOfQuestionId NUMBER, BelongsOnBaseHostAddress CLOB)
CREATE TABLE TagSynonyms (Id NUMBER, SourceTagName CLOB, TargetTagName CLOB, CreationDate TIME, OwnerUserId NUMBER, AutoRenameCount NUMBER, LastAutoRename TIME, Score NUMBER, ApprovedByUserId NUMBER, ApprovalDate TIME)
CREATE TABLE ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId NUMBER)
CREATE TABLE CloseAsOffTopicReasonTypes (Id NUMBER, IsUniversal BOOLEAN, InputTitle CLOB, MarkdownInputGuidance CLOB, MarkdownPostOwnerGuidance CLOB, MarkdownPrivilegedUserGuidance CLOB, MarkdownConcensusDescription CLOB, CreationDate TIME, CreationModeratorId NUMBER, ApprovalDate TIME, ApprovalModeratorId NUMBER, DeactivationDate TIME, DeactivationModeratorId NUMBER)
CREATE TABLE Comments (Id NUMBER, PostId NUMBER, Score NUMBER, Text CLOB, CreationDate TIME, UserDisplayName CLOB, UserId NUMBER, ContentLicense CLOB)
CREATE TABLE FlagTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE CloseReasonTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostsWithDeleted (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE ReviewTaskTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostHistoryTypes (Id NUMBER, Name CLOB)
| PPCG: Many more Q's than A's. | SELECT U.Id, U.DisplayName, Q.Questions, A.Answers FROM Users AS U INNER JOIN (SELECT OwnerUserId, COUNT(*) AS Questions FROM Posts WHERE PostTypeId = 1 GROUP BY OwnerUserId) AS Q ON U.Id = Q.OwnerUserId INNER JOIN (SELECT OwnerUserId, COUNT(*) AS Answers FROM Posts WHERE PostTypeId = 2 GROUP BY OwnerUserId) AS A ON Q.OwnerUserId = A.OwnerUserId AND Q.Questions > 2 * A.Answers ORDER BY U.Id | WITH "Q" AS (SELECT "OwnerUserId", COUNT(*) AS "Questions" FROM "Posts" WHERE "PostTypeId" = 1 GROUP BY "OwnerUserId"), "A" AS (SELECT "OwnerUserId", COUNT(*) AS "Answers" FROM "Posts" WHERE "PostTypeId" = 2 GROUP BY "OwnerUserId") SELECT "U"."Id", "U"."DisplayName", "Q"."Questions", "A"."Answers" FROM "Users" "U" JOIN "Q" "Q" ON "Q"."OwnerUserId" = "U"."Id" JOIN "A" "A" ON "A"."OwnerUserId" = "Q"."OwnerUserId" AND "Q"."Questions" > 2 * "A"."Answers" ORDER BY "U"."Id" | 0.460938 |
CREATE TABLE table_204_917 (id NUMBER, "date" CLOB, "opponent#" CLOB, "rank#" CLOB, "site" CLOB, "result" CLOB, "attendance" NUMBER)
| what was the last game to be attended by fewer than 30,000 people ? | SELECT "date" FROM table_204_917 WHERE "attendance" < 30000 | SELECT "date" FROM "table_204_917" WHERE "attendance" < 30000 | 0.05957 |
CREATE TABLE table_34087 ("Date" CLOB, "Opponent" CLOB, "Result" CLOB, "Score" CLOB, "Record" CLOB, "Streak" CLOB)
| What was the Record during the game with a Score of 113 103? | SELECT "Record" FROM table_34087 WHERE "Score" = '113–103' | SELECT "Record" FROM "table_34087" WHERE "Score" = '113–103' | 0.058594 |
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
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)
| give me the number of patients whose year of death is less than or equal to 2158 and procedure icd9 code is 3607? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.dod_year <= "2158.0" AND procedures.icd9_code = "3607" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "procedures" ON "3607" = "procedures"."icd9_code" AND "demographic"."hadm_id" = "procedures"."hadm_id" WHERE "2158.0" >= "demographic"."dod_year" | 0.213867 |
CREATE TABLE table_2001 ("Season" FLOAT, "Timeslot" CLOB, "Season premiere" CLOB, "Season finale" CLOB, "TV season" CLOB, "Rank" CLOB, "U.S. viewers ( in millions ) " CLOB, "Rating ( adults 18\\u201349 ) " CLOB)
| How many tv series had an adult rating of 1.2? | SELECT COUNT("TV season") FROM table_2001 WHERE "Rating (adults 18\u201349)" = '1.2' | SELECT COUNT("TV season") FROM "table_2001" WHERE "Rating (adults 18\u201349)" = '1.2' | 0.083984 |
CREATE TABLE party (Party_ID NUMBER, Year FLOAT, Party CLOB, Governor CLOB, Lieutenant_Governor CLOB, Comptroller CLOB, Attorney_General CLOB, US_Senate CLOB)
CREATE TABLE county (County_Id NUMBER, County_name CLOB, Population FLOAT, Zip_code CLOB)
CREATE TABLE election (Election_ID NUMBER, Counties_Represented CLOB, District NUMBER, Delegate CLOB, Party NUMBER, First_Elected FLOAT, Committee CLOB)
| For each party, use a bar chart to show the number of its delegates, sort bars in asc order. | SELECT T2.Party, COUNT(T2.Party) FROM election AS T1 JOIN party AS T2 ON T1.Party = T2.Party_ID GROUP BY T2.Party ORDER BY T2.Party | SELECT "T2"."Party", COUNT("T2"."Party") FROM "election" "T1" JOIN "party" "T2" ON "T1"."Party" = "T2"."Party_ID" GROUP BY "T2"."Party" ORDER BY "T2"."Party" | 0.15332 |
CREATE TABLE table_32323 ("Home team" CLOB, "Home team score" CLOB, "Away team" CLOB, "Away team score" CLOB, "Venue" CLOB, "Crowd" FLOAT, "Date" CLOB)
| Who was the away team when the home team scored 16.16 (112)? | SELECT "Away team" FROM table_32323 WHERE "Home team score" = '16.16 (112)' | SELECT "Away team" FROM "table_32323" WHERE "Home team score" = '16.16 (112)' | 0.075195 |
CREATE TABLE CloseReasonTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE ReviewTaskTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE ReviewTaskStates (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
CREATE TABLE Comments (Id NUMBER, PostId NUMBER, Score NUMBER, Text CLOB, CreationDate TIME, UserDisplayName CLOB, UserId NUMBER, ContentLicense CLOB)
CREATE TABLE SuggestedEdits (Id NUMBER, PostId NUMBER, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId NUMBER, Comment CLOB, Text CLOB, Title CLOB, Tags CLOB, RevisionGUID other)
CREATE TABLE VoteTypes (Id NUMBER, Name CLOB)
CREATE TABLE PostHistoryTypes (Id NUMBER, Name CLOB)
CREATE TABLE Posts (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
CREATE TABLE PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
CREATE TABLE Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount NUMBER)
CREATE TABLE FlagTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId NUMBER)
CREATE TABLE PostsWithDeleted (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE ReviewTaskResultTypes (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 PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId NUMBER)
CREATE TABLE ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment CLOB)
CREATE TABLE PendingFlags (Id NUMBER, FlagTypeId NUMBER, PostId NUMBER, CreationDate TIME, CloseReasonTypeId NUMBER, CloseAsOffTopicReasonTypeId NUMBER, DuplicateOfQuestionId NUMBER, BelongsOnBaseHostAddress CLOB)
CREATE TABLE SuggestedEditVotes (Id NUMBER, SuggestedEditId NUMBER, UserId NUMBER, VoteTypeId NUMBER, CreationDate TIME, TargetUserId NUMBER, TargetRepChange NUMBER)
CREATE TABLE 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 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 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 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 PostTypes (Id NUMBER, Name CLOB)
CREATE TABLE Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
| non-positive score Answered questions, edited by OP after closing. | SELECT 'lastactivitydate', Posts.CreationDate, 'lasteditdate' FROM Posts RIGHT JOIN PostFeedback ON 'postfeedback'."postid" = 'posts'."id" WHERE 'posttypeid' = 1 AND 'answercount' > 0 AND 'lasteditoruserid' = 'owneruserid' AND ('posttypeid' = 2 AND Posts.ParentId = 'postfeedback'."postid" AND Posts.CreationDate < 'lasteditdate') | SELECT 'lastactivitydate', "Posts"."CreationDate", 'lasteditdate' FROM "Posts" RIGHT JOIN "PostFeedback" ON 'postfeedback'."postid" = 'posts'."id" WHERE FALSE | 0.154297 |
CREATE TABLE table_name_35 (largest_city VARCHAR2)
| What is the 3rd largest where the largest city is Ardabil? | SELECT 3 AS rd_largest FROM table_name_35 WHERE largest_city = "ardabil" | SELECT 3 AS "rd_largest" FROM "table_name_35" WHERE "ardabil" = "largest_city" | 0.076172 |
CREATE TABLE captain (Captain_ID NUMBER, Name CLOB, Ship_ID NUMBER, age CLOB, Class CLOB, Rank CLOB)
CREATE TABLE Ship (Ship_ID NUMBER, Name CLOB, Type CLOB, Built_Year FLOAT, Class CLOB, Flag CLOB)
| For those ships that do not have a captain, tell me the total number of their classes using a pie chart, show how many class from low to high order please. | SELECT Class, COUNT(Class) FROM Ship WHERE NOT Ship_ID IN (SELECT Ship_ID FROM captain) GROUP BY Class ORDER BY COUNT(Class) | SELECT "Class", COUNT("Class") FROM "Ship" WHERE NOT "Ship_ID" IN (SELECT "Ship_ID" FROM "captain") GROUP BY "Class" ORDER BY COUNT("Class") | 0.136719 |
CREATE TABLE table_3466 ("Player" CLOB, "Number Of Selections" FLOAT, "First Team" FLOAT, "Second Team" FLOAT, "Season MVP" FLOAT, "Final Four MVP" FLOAT)
| what would be final four mvp maximum when first team is 1 | SELECT MAX("Final Four MVP") FROM table_3466 WHERE "First Team" = '1' | SELECT MAX("Final Four MVP") FROM "table_3466" WHERE "First Team" = '1' | 0.069336 |
CREATE TABLE table_49069 ("Week" CLOB, "Date" CLOB, "Opponent" CLOB, "Result" CLOB, "Game site" CLOB, "Record" CLOB)
| What was the score of the game on November 22? | SELECT "Result" FROM table_49069 WHERE "Date" = 'november 22' | SELECT "Result" FROM "table_49069" WHERE "Date" = 'november 22' | 0.061523 |
CREATE TABLE physician (employeeid NUMBER, name CLOB, position CLOB, ssn NUMBER)
CREATE TABLE prescribes (physician NUMBER, patient NUMBER, medication NUMBER, date TIME, appointment NUMBER, dose CLOB)
CREATE TABLE undergoes (patient NUMBER, procedures NUMBER, stay NUMBER, dateundergoes TIME, physician NUMBER, assistingnurse NUMBER)
CREATE TABLE nurse (employeeid NUMBER, name CLOB, position CLOB, registered BOOLEAN, ssn NUMBER)
CREATE TABLE appointment (appointmentid NUMBER, patient NUMBER, prepnurse NUMBER, physician NUMBER, start TIME, end TIME, examinationroom CLOB)
CREATE TABLE room (roomnumber NUMBER, roomtype CLOB, blockfloor NUMBER, blockcode NUMBER, unavailable BOOLEAN)
CREATE TABLE medication (code NUMBER, name CLOB, brand CLOB, description CLOB)
CREATE TABLE on_call (nurse NUMBER, blockfloor NUMBER, blockcode NUMBER, oncallstart TIME, oncallend TIME)
CREATE TABLE stay (stayid NUMBER, patient NUMBER, room NUMBER, staystart TIME, stayend TIME)
CREATE TABLE procedures (code NUMBER, name CLOB, cost NUMBER)
CREATE TABLE patient (ssn NUMBER, name CLOB, address CLOB, phone CLOB, insuranceid NUMBER, pcp NUMBER)
CREATE TABLE department (departmentid NUMBER, name CLOB, head NUMBER)
CREATE TABLE block (blockfloor NUMBER, blockcode NUMBER)
CREATE TABLE affiliated_with (physician NUMBER, department NUMBER, primaryaffiliation BOOLEAN)
CREATE TABLE trained_in (physician NUMBER, treatment NUMBER, certificationdate TIME, certificationexpires TIME)
| How many rooms are located for each block code? | SELECT COUNT(*), T1.blockcode FROM block AS T1 JOIN room AS T2 ON T1.blockfloor = T2.blockfloor AND T1.blockcode = T2.blockcode GROUP BY T1.blockcode | SELECT COUNT(*), "T1"."blockcode" FROM "block" "T1" JOIN "room" "T2" ON "T1"."blockcode" = "T2"."blockcode" AND "T1"."blockfloor" = "T2"."blockfloor" GROUP BY "T1"."blockcode" | 0.170898 |
CREATE TABLE table_1341598_10 (party VARCHAR2, incumbent VARCHAR2)
| What party does incumbent Charles Edward Bennett belong to? | SELECT party FROM table_1341598_10 WHERE incumbent = "Charles Edward Bennett" | SELECT "party" FROM "table_1341598_10" WHERE "Charles Edward Bennett" = "incumbent" | 0.081055 |
CREATE TABLE table_name_30 (to_par NUMBER, country VARCHAR2, place VARCHAR2, score VARCHAR2)
| What is the highest to par of the player from the United States with a t3 place and a 74-73-72-69=288 place? | SELECT MAX(to_par) FROM table_name_30 WHERE country = "united states" AND place = "t3" AND score = 74 - 73 - 72 - 69 = 288 | SELECT MAX("to_par") FROM "table_name_30" WHERE "country" = "united states" AND "place" = "t3" AND "score" = FALSE | 0.111328 |
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 lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime TIME)
CREATE TABLE microlab (microlabid NUMBER, patientunitstayid NUMBER, culturesite CLOB, organism CLOB, culturetakentime TIME)
CREATE TABLE 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 intakeoutput (intakeoutputid NUMBER, patientunitstayid NUMBER, cellpath CLOB, celllabel CLOB, cellvaluenumeric NUMBER, intakeoutputtime 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)
| what is patient 015-35874's daily maximum level of -polys since 6 years ago? | SELECT MAX(lab.labresult) FROM lab WHERE lab.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '015-35874')) AND lab.labname = '-polys' AND DATETIME(lab.labresulttime) >= DATETIME(CURRENT_TIME(), '-6 year') GROUP BY STRFTIME('%y-%m-%d', lab.labresulttime) | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '015-35874' 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 MAX("lab"."labresult") FROM "lab" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "lab"."patientunitstayid" WHERE "lab"."labname" = '-polys' AND DATETIME("lab"."labresulttime") >= DATETIME(CURRENT_TIME(), '-6 year') AND NOT "_u_1"."" IS NULL GROUP BY STRFTIME('%y-%m-%d', "lab"."labresulttime") | 0.631836 |
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 products with a price between 60 and 120, show me about the correlation between code and manufacturer , and group by attribute name in a scatter chart. | SELECT Code, Manufacturer FROM Products WHERE Price BETWEEN 60 AND 120 GROUP BY Name | SELECT "Code", "Manufacturer" FROM "Products" WHERE "Price" <= 120 AND "Price" >= 60 GROUP BY "Name" | 0.097656 |
CREATE TABLE table_name_9 (club VARCHAR2, not_winning_editions VARCHAR2)
| Which Club has a Not winning editions of 1992, 2003? | SELECT club FROM table_name_9 WHERE not_winning_editions = "1992, 2003" | SELECT "club" FROM "table_name_9" WHERE "1992, 2003" = "not_winning_editions" | 0.075195 |
CREATE TABLE table_64621 ("Country" CLOB, "Seasons" CLOB, "Championship Titles" CLOB, "Race entries ( Starts ) " CLOB, "Poles" FLOAT, "Wins" FLOAT, "Podiums" FLOAT, "Fastest Laps" FLOAT, "Points" CLOB)
| What's the fastest laps during the 1995 season having poles & podiums at 0? | SELECT SUM("Fastest Laps") FROM table_64621 WHERE "Poles" = '0' AND "Podiums" = '0' AND "Seasons" = '1995' | SELECT SUM("Fastest Laps") FROM "table_64621" WHERE "Podiums" = '0' AND "Poles" = '0' AND "Seasons" = '1995' | 0.105469 |
CREATE TABLE diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
CREATE TABLE cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost 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 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_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
CREATE TABLE inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
CREATE TABLE prescriptions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, startdate TIME, enddate TIME, drug CLOB, dose_val_rx CLOB, dose_unit_rx CLOB, route CLOB)
CREATE TABLE chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
CREATE TABLE d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
CREATE TABLE d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
CREATE TABLE admissions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, admittime TIME, dischtime TIME, admission_type CLOB, admission_location CLOB, discharge_location CLOB, insurance CLOB, language CLOB, marital_status CLOB, ethnicity CLOB, age NUMBER)
CREATE TABLE procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
| what was the last height of patient 23070 since 11/2101? | SELECT chartevents.valuenum 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 = 23070)) AND chartevents.itemid IN (SELECT d_items.itemid FROM d_items WHERE d_items.label = 'admit ht' AND d_items.linksto = 'chartevents') AND STRFTIME('%y-%m', chartevents.charttime) >= '2101-11' ORDER BY chartevents.charttime DESC LIMIT 1 | WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 23070 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" = 'admit ht' AND "d_items"."linksto" = 'chartevents' GROUP BY "itemid") SELECT "chartevents"."valuenum" 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 NOT "_u_1"."" IS NULL AND NOT "_u_2"."" IS NULL AND STRFTIME('%y-%m', "chartevents"."charttime") >= '2101-11' ORDER BY "chartevents"."charttime" DESC FETCH FIRST 1 ROWS ONLY | 0.782227 |
CREATE TABLE aircraft (aid NUMBER, name CLOB, distance NUMBER)
CREATE TABLE employee (eid NUMBER, name CLOB, salary NUMBER)
CREATE TABLE flight (flno NUMBER, origin CLOB, destination CLOB, distance NUMBER, departure_date TIME, arrival_date TIME, price NUMBER, aid NUMBER)
CREATE TABLE certificate (eid NUMBER, aid NUMBER)
| What are the aircrafts with top 3 shortest lengthes? List their names. | SELECT name FROM aircraft ORDER BY distance LIMIT 3 | SELECT "name" FROM "aircraft" ORDER BY "distance" FETCH FIRST 3 ROWS ONLY | 0.071289 |
CREATE TABLE table_204_302 (id NUMBER, "rank" NUMBER, "nation" CLOB, "gold" NUMBER, "silver" NUMBER, "bronze" NUMBER, "total" NUMBER)
| how many total medals did brazil received ? | SELECT "total" FROM table_204_302 WHERE "nation" = 'brazil' | SELECT "total" FROM "table_204_302" WHERE "nation" = 'brazil' | 0.05957 |
CREATE TABLE table_name_93 (top_25 NUMBER, tournament VARCHAR2, events VARCHAR2)
| What is the top-25 of the U.S. open, which has less than 7 events? | SELECT SUM(top_25) FROM table_name_93 WHERE tournament = "u.s. open" AND events < 7 | SELECT SUM("top_25") FROM "table_name_93" WHERE "events" < 7 AND "tournament" = "u.s. open" | 0.088867 |
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 departments (DEPARTMENT_ID NUMBER, DEPARTMENT_NAME VARCHAR2, MANAGER_ID NUMBER, LOCATION_ID NUMBER)
CREATE TABLE jobs (JOB_ID VARCHAR2, JOB_TITLE VARCHAR2, MIN_SALARY NUMBER, MAX_SALARY NUMBER)
CREATE TABLE job_history (EMPLOYEE_ID NUMBER, START_DATE DATE, END_DATE DATE, JOB_ID VARCHAR2, DEPARTMENT_ID NUMBER)
CREATE TABLE locations (LOCATION_ID NUMBER, STREET_ADDRESS VARCHAR2, POSTAL_CODE VARCHAR2, CITY VARCHAR2, STATE_PROVINCE VARCHAR2, COUNTRY_ID VARCHAR2)
CREATE TABLE regions (REGION_ID NUMBER, REGION_NAME VARCHAR2)
| For all employees who have the letters D or S in their first name, a line chart shows the change of employee_id over hire_date, and could you sort by the X in ascending? | SELECT HIRE_DATE, EMPLOYEE_ID FROM employees WHERE FIRST_NAME LIKE '%D%' OR FIRST_NAME LIKE '%S%' ORDER BY HIRE_DATE | SELECT "HIRE_DATE", "EMPLOYEE_ID" FROM "employees" WHERE "FIRST_NAME" LIKE '%D%' OR "FIRST_NAME" LIKE '%S%' ORDER BY "HIRE_DATE" | 0.125 |
CREATE TABLE table_25394 ("Team" CLOB, "SEC Wins" FLOAT, "SEC Losses" FLOAT, "Percentage" CLOB, "Home Record" CLOB, "Road Record" CLOB, "Overall Record" CLOB)
| Name the number of road record for team ole miss | SELECT COUNT("Road Record") FROM table_25394 WHERE "Team" = 'Ole Miss' | SELECT COUNT("Road Record") FROM "table_25394" WHERE "Team" = 'Ole Miss' | 0.070313 |
CREATE TABLE table_name_63 (date VARCHAR2, record VARCHAR2)
| When was there a record of 13 17 3? | SELECT date FROM table_name_63 WHERE record = "13–17–3" | SELECT "date" FROM "table_name_63" WHERE "13–17–3" = "record" | 0.05957 |
CREATE TABLE table_40532 ("Date" CLOB, "Venue" CLOB, "Score" CLOB, "Result" CLOB, "Competition" CLOB)
| What was the score of the 2014 World Cup Qualification? | SELECT "Score" FROM table_40532 WHERE "Competition" = '2014 world cup qualification' | SELECT "Score" FROM "table_40532" WHERE "Competition" = '2014 world cup qualification' | 0.083984 |
CREATE TABLE table_22514845_2 (race_caller VARCHAR2, trophy_presentation VARCHAR2)
| Name the total number for race caller for bob costas and charlsie cantey | SELECT COUNT(race_caller) FROM table_22514845_2 WHERE trophy_presentation = "Bob Costas and Charlsie Cantey" | SELECT COUNT("race_caller") FROM "table_22514845_2" WHERE "Bob Costas and Charlsie Cantey" = "trophy_presentation" | 0.111328 |
CREATE TABLE table_name_50 (mountain_range VARCHAR2, mountain_peak VARCHAR2)
| what is the mountain range when the mountain peak is mauna kea? | SELECT mountain_range FROM table_name_50 WHERE mountain_peak = "mauna kea" | SELECT "mountain_range" FROM "table_name_50" WHERE "mauna kea" = "mountain_peak" | 0.078125 |
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
| give me the number of patients whose drug name is vitamin b complex? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE prescriptions.drug = "Vitamin B Complex" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "prescriptions" ON "Vitamin B Complex" = "prescriptions"."drug" AND "demographic"."hadm_id" = "prescriptions"."hadm_id" | 0.188477 |
CREATE TABLE table_24507 ("District" CLOB, "Vacator" CLOB, "Reason for change" CLOB, "Successor" CLOB, "Date successor seated" CLOB)
| Name the district for reason for change being died july 4, 1939 | SELECT "District" FROM table_24507 WHERE "Reason for change" = 'Died July 4, 1939' | SELECT "District" FROM "table_24507" WHERE "Reason for change" = 'Died July 4, 1939' | 0.082031 |
CREATE TABLE job_history (EMPLOYEE_ID NUMBER, START_DATE DATE, END_DATE DATE, JOB_ID VARCHAR2, DEPARTMENT_ID NUMBER)
CREATE TABLE regions (REGION_ID NUMBER, REGION_NAME VARCHAR2)
CREATE TABLE employees (EMPLOYEE_ID NUMBER, FIRST_NAME VARCHAR2, LAST_NAME VARCHAR2, EMAIL VARCHAR2, PHONE_NUMBER VARCHAR2, HIRE_DATE DATE, JOB_ID VARCHAR2, SALARY NUMBER, COMMISSION_PCT NUMBER, MANAGER_ID NUMBER, DEPARTMENT_ID NUMBER)
CREATE TABLE countries (COUNTRY_ID VARCHAR2, COUNTRY_NAME VARCHAR2, REGION_ID NUMBER)
CREATE TABLE locations (LOCATION_ID NUMBER, STREET_ADDRESS VARCHAR2, POSTAL_CODE VARCHAR2, CITY VARCHAR2, STATE_PROVINCE VARCHAR2, COUNTRY_ID VARCHAR2)
CREATE TABLE departments (DEPARTMENT_ID NUMBER, DEPARTMENT_NAME VARCHAR2, MANAGER_ID NUMBER, LOCATION_ID NUMBER)
CREATE TABLE jobs (JOB_ID VARCHAR2, JOB_TITLE VARCHAR2, MIN_SALARY NUMBER, MAX_SALARY NUMBER)
| For those employees whose salary is in the range of 8000 and 12000 and commission is not null or department number does not equal to 40, a bar chart shows the distribution of hire_date and the amount of hire_date bin hire_date by weekday, and rank by the total number in descending. | SELECT HIRE_DATE, COUNT(HIRE_DATE) FROM employees WHERE SALARY BETWEEN 8000 AND 12000 AND COMMISSION_PCT <> "null" OR DEPARTMENT_ID <> 40 ORDER BY COUNT(HIRE_DATE) DESC | SELECT "HIRE_DATE", COUNT("HIRE_DATE") FROM "employees" WHERE ("COMMISSION_PCT" <> "null" OR "DEPARTMENT_ID" <> 40) AND ("DEPARTMENT_ID" <> 40 OR "SALARY" <= 12000) AND ("DEPARTMENT_ID" <> 40 OR "SALARY" >= 8000) ORDER BY COUNT("HIRE_DATE") DESC | 0.239258 |
CREATE TABLE table_17715 ("Name of System" CLOB, "Location" CLOB, "Traction Type" CLOB, "Date ( From ) " CLOB, "Date ( To ) " CLOB, "Notes" CLOB)
| how many notes are form the date (from) 14 march 1910? | SELECT COUNT("Notes") FROM table_17715 WHERE "Date (From)" = '14 March 1910' | SELECT COUNT("Notes") FROM "table_17715" WHERE "Date (From)" = '14 March 1910' | 0.076172 |
CREATE TABLE stadium (ID NUMBER, name CLOB, Capacity NUMBER, City CLOB, Country CLOB, Opening_year NUMBER)
CREATE TABLE record (ID NUMBER, Result CLOB, Swimmer_ID NUMBER, Event_ID NUMBER)
CREATE TABLE swimmer (ID NUMBER, name CLOB, Nationality CLOB, meter_100 FLOAT, meter_200 CLOB, meter_300 CLOB, meter_400 CLOB, meter_500 CLOB, meter_600 CLOB, meter_700 CLOB, Time CLOB)
CREATE TABLE event (ID NUMBER, Name CLOB, Stadium_ID NUMBER, Year CLOB)
| Visualize a bar chart about the distribution of meter_400 and meter_100 , and rank by the x axis in descending. | SELECT meter_400, meter_100 FROM swimmer ORDER BY meter_400 DESC | SELECT "meter_400", "meter_100" FROM "swimmer" ORDER BY "meter_400" DESC | 0.070313 |
CREATE TABLE PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId NUMBER)
CREATE TABLE Comments (Id NUMBER, PostId NUMBER, Score NUMBER, Text CLOB, CreationDate TIME, UserDisplayName CLOB, UserId NUMBER, ContentLicense CLOB)
CREATE TABLE PostsWithDeleted (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
CREATE TABLE Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount NUMBER)
CREATE TABLE Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
CREATE TABLE PostTypes (Id NUMBER, Name CLOB)
CREATE TABLE Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
CREATE TABLE ReviewTaskTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Posts (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE PostHistory (Id NUMBER, PostHistoryTypeId NUMBER, PostId NUMBER, RevisionGUID other, CreationDate TIME, UserId NUMBER, UserDisplayName CLOB, Comment CLOB, Text CLOB, ContentLicense CLOB)
CREATE TABLE ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment CLOB)
CREATE TABLE ReviewTaskResultTypes (Id NUMBER, Name CLOB, Description 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 PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId NUMBER)
CREATE TABLE ReviewTaskStates (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId NUMBER)
CREATE TABLE PendingFlags (Id NUMBER, FlagTypeId NUMBER, PostId NUMBER, CreationDate TIME, CloseReasonTypeId NUMBER, CloseAsOffTopicReasonTypeId NUMBER, DuplicateOfQuestionId NUMBER, BelongsOnBaseHostAddress CLOB)
CREATE TABLE PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
CREATE TABLE PostTags (PostId NUMBER, TagId NUMBER)
CREATE TABLE PostHistoryTypes (Id NUMBER, Name 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 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 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 FlagTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE CloseReasonTypes (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)
| Total weight of contributions from a user. | SELECT PostTypeId, SUM(LENGTH(Body)) AS weight FROM Posts WHERE OwnerUserId = '##UserId##' GROUP BY PostTypeId UNION SELECT PostTypeId + 100 AS posttypeid, SUM(LENGTH(Body)) AS weight FROM Posts WHERE OwnerUserId = '##UserId##' AND Score > 0 GROUP BY PostTypeId UNION SELECT 0 AS posttypeid, SUM(LENGTH(Text)) AS weight FROM Comments WHERE UserId = '##UserId##' UNION SELECT 100 AS posttypeid, SUM(LENGTH(Text)) AS weight FROM Comments WHERE UserId = '##UserId##' AND Score > 0 ORDER BY PostTypeId | SELECT "PostTypeId", SUM(LENGTH("Body")) AS "weight" FROM "Posts" WHERE "OwnerUserId" = '##UserId##' GROUP BY "PostTypeId" UNION SELECT "PostTypeId" + 100 AS "posttypeid", SUM(LENGTH("Body")) AS "weight" FROM "Posts" WHERE "OwnerUserId" = '##UserId##' AND "Score" > 0 GROUP BY "PostTypeId" UNION SELECT 0 AS "posttypeid", SUM(LENGTH("Text")) AS "weight" FROM "Comments" WHERE "UserId" = '##UserId##' UNION SELECT 100 AS "posttypeid", SUM(LENGTH("Text")) AS "weight" FROM "Comments" WHERE "Score" > 0 AND "UserId" = '##UserId##' ORDER BY "PostTypeId" | 0.536133 |
CREATE TABLE table_name_91 (second VARCHAR2, third VARCHAR2)
| Which second's third is Jean-Michel Arsenault? | SELECT second FROM table_name_91 WHERE third = "jean-michel arsenault" | SELECT "second" FROM "table_name_91" WHERE "jean-michel arsenault" = "third" | 0.074219 |
CREATE TABLE table_51576 ("Nat." CLOB, "Name" CLOB, "Since" CLOB, "Goals" FLOAT, "Transfer fee" CLOB)
| What is the largest goal number when the transfer fee was 0.8m? | SELECT MAX("Goals") FROM table_51576 WHERE "Transfer fee" = '£0.8m' | SELECT MAX("Goals") FROM "table_51576" WHERE "Transfer fee" = '£0.8m' | 0.067383 |
CREATE TABLE video_games (gameid NUMBER, gname CLOB, gtype CLOB)
CREATE TABLE sportsinfo (stuid NUMBER, sportname CLOB, hoursperweek NUMBER, gamesplayed NUMBER, onscholarship CLOB)
CREATE TABLE student (stuid NUMBER, lname CLOB, fname CLOB, age NUMBER, sex CLOB, major NUMBER, advisor NUMBER, city_code CLOB)
CREATE TABLE plays_games (stuid NUMBER, gameid NUMBER, hours_played NUMBER)
| How many games are played for all students? | SELECT SUM(gamesplayed) FROM sportsinfo | SELECT SUM("gamesplayed") FROM "sportsinfo" | 0.041992 |
CREATE TABLE table_train_247 ("id" NUMBER, "mini_mental_state_examination_mmse" NUMBER, "creatinine_consistently" FLOAT, "creatinine_clearance_cl" FLOAT, "seizure_disorder" BOOLEAN, "age" FLOAT, "NOUSE" FLOAT)
| seizure disorder | SELECT * FROM table_train_247 WHERE seizure_disorder = 1 | SELECT * FROM "table_train_247" WHERE "seizure_disorder" = 1 | 0.058594 |
CREATE TABLE table_22901 ("Series No." FLOAT, "Season No." FLOAT, "Title" CLOB, "Directed by" CLOB, "Written by" CLOB, "Original air date" CLOB, "U.K. viewers ( million ) " CLOB)
| What's the series number of the episode seen by 2.43 million viewers in the UK? | SELECT "Series No." FROM table_22901 WHERE "U.K. viewers (million)" = '2.43' | SELECT "Series No." FROM "table_22901" WHERE "U.K. viewers (million)" = '2.43' | 0.076172 |
CREATE TABLE table_206419_3 (percent_of_capital VARCHAR2, s_b_share VARCHAR2)
| What is the percent of capital for the shareholder that has a s B share of 8256534? | SELECT percent_of_capital FROM table_206419_3 WHERE s_b_share = 8256534 | SELECT "percent_of_capital" FROM "table_206419_3" WHERE "s_b_share" = 8256534 | 0.075195 |
CREATE TABLE table_31385 ("Value" CLOB, "Dimensions" CLOB, "Main Color" CLOB, "Obverse" CLOB, "Reverse" CLOB, "Watermark" CLOB, "Date of issue" CLOB)
| What are the dimensions of the coin with western sea barrage and locks at taedong gang on the reverse side? | SELECT "Dimensions" FROM table_31385 WHERE "Reverse" = 'Western sea barrage and locks at Taedong Gang' | SELECT "Dimensions" FROM "table_31385" WHERE "Reverse" = 'Western sea barrage and locks at Taedong Gang' | 0.101563 |
CREATE TABLE table_2562572_19 (settlement VARCHAR2, population__2011_ VARCHAR2)
| In what settlement is the population 1114? | SELECT settlement FROM table_2562572_19 WHERE population__2011_ = 1114 | SELECT "settlement" FROM "table_2562572_19" WHERE "population__2011_" = 1114 | 0.074219 |
CREATE TABLE student (stuid NUMBER, lname CLOB, fname CLOB, age NUMBER, sex CLOB, major NUMBER, advisor NUMBER, city_code CLOB)
CREATE TABLE member_of (facid NUMBER, dno NUMBER, appt_type CLOB)
CREATE TABLE minor_in (stuid NUMBER, dno NUMBER)
CREATE TABLE gradeconversion (lettergrade CLOB, gradepoint NUMBER)
CREATE TABLE course (cid CLOB, cname CLOB, credits NUMBER, instructor NUMBER, days CLOB, hours CLOB, dno NUMBER)
CREATE TABLE faculty (facid NUMBER, lname CLOB, fname CLOB, rank CLOB, sex CLOB, phone NUMBER, room CLOB, building CLOB)
CREATE TABLE department (dno NUMBER, division CLOB, dname CLOB, room CLOB, building CLOB, dphone NUMBER)
CREATE TABLE enrolled_in (stuid NUMBER, cid CLOB, grade CLOB)
| What are the phones of departments in Room 268? | SELECT dphone FROM department WHERE room = 268 | SELECT "dphone" FROM "department" WHERE "room" = 268 | 0.050781 |
CREATE TABLE table_52303 ("D 49 \\u221a" CLOB, "D 48 \\u221a" CLOB, "D 47 \\u221a" CLOB, "D 46 \\u221a" CLOB, "D 45 \\u221a" CLOB, "D 44 \\u221a" CLOB, "D 43 \\u221a" CLOB, "D 42 \\u221a" CLOB, "D 41 \\u221a" CLOB)
| What is the D 48 with a D 49 with r 9? | SELECT "D 48 \u221a" FROM table_52303 WHERE "D 49 \u221a" = 'r 9' | SELECT "D 48 \u221a" FROM "table_52303" WHERE "D 49 \u221a" = 'r 9' | 0.06543 |
CREATE TABLE gsi (course_offering_id NUMBER, student_id NUMBER)
CREATE TABLE program_requirement (program_id NUMBER, category VARCHAR2, min_credit NUMBER, additional_req VARCHAR2)
CREATE TABLE offering_instructor (offering_instructor_id NUMBER, offering_id NUMBER, instructor_id NUMBER)
CREATE TABLE course_offering (offering_id NUMBER, course_id NUMBER, semester NUMBER, section_number NUMBER, start_time TIME, end_time TIME, monday VARCHAR2, tuesday VARCHAR2, wednesday VARCHAR2, thursday VARCHAR2, friday VARCHAR2, saturday VARCHAR2, sunday VARCHAR2, has_final_project VARCHAR2, has_final_exam VARCHAR2, textbook VARCHAR2, class_address VARCHAR2, allow_audit VARCHAR2)
CREATE TABLE course (course_id NUMBER, name VARCHAR2, department VARCHAR2, number VARCHAR2, credits VARCHAR2, advisory_requirement VARCHAR2, enforced_requirement VARCHAR2, description VARCHAR2, num_semesters NUMBER, num_enrolled NUMBER, has_discussion VARCHAR2, has_lab VARCHAR2, has_projects VARCHAR2, has_exams VARCHAR2, num_reviews NUMBER, clarity_score NUMBER, easiness_score NUMBER, helpfulness_score NUMBER)
CREATE TABLE program (program_id NUMBER, name VARCHAR2, college VARCHAR2, introduction VARCHAR2)
CREATE TABLE jobs (job_id NUMBER, job_title VARCHAR2, description VARCHAR2, requirement VARCHAR2, city VARCHAR2, state VARCHAR2, country VARCHAR2, zip NUMBER)
CREATE TABLE area (course_id NUMBER, area VARCHAR2)
CREATE TABLE student (student_id NUMBER, lastname VARCHAR2, firstname VARCHAR2, program_id NUMBER, declare_major VARCHAR2, total_credit NUMBER, total_gpa FLOAT, entered_as VARCHAR2, admit_term NUMBER, predicted_graduation_semester NUMBER, degree VARCHAR2, minor VARCHAR2, internship VARCHAR2)
CREATE TABLE comment_instructor (instructor_id NUMBER, student_id NUMBER, score NUMBER, comment_text VARCHAR2)
CREATE TABLE course_tags_count (course_id NUMBER, clear_grading NUMBER, pop_quiz NUMBER, group_projects NUMBER, inspirational NUMBER, long_lectures NUMBER, extra_credit NUMBER, few_tests NUMBER, good_feedback NUMBER, tough_tests NUMBER, heavy_papers NUMBER, cares_for_students NUMBER, heavy_assignments NUMBER, respected NUMBER, participation NUMBER, heavy_reading NUMBER, tough_grader NUMBER, hilarious NUMBER, would_take_again NUMBER, good_lecture NUMBER, no_skip NUMBER)
CREATE TABLE 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 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 instructor (instructor_id NUMBER, name VARCHAR2, uniqname VARCHAR2)
CREATE TABLE course_prerequisite (pre_course_id NUMBER, course_id NUMBER)
CREATE TABLE requirement (requirement_id NUMBER, requirement VARCHAR2, college VARCHAR2)
CREATE TABLE semester (semester_id NUMBER, semester VARCHAR2, year NUMBER)
| What courses are the prerequisites to SM 217 ? | SELECT DISTINCT COURSE_0.department, COURSE_0.name, COURSE_0.number FROM course AS COURSE_0, course AS COURSE_1, course_prerequisite WHERE COURSE_0.course_id = course_prerequisite.pre_course_id AND NOT COURSE_0.course_id IN (SELECT STUDENT_RECORDalias0.course_id FROM student_record AS STUDENT_RECORDalias0 WHERE STUDENT_RECORDalias0.student_id = 1) AND COURSE_1.course_id = course_prerequisite.course_id AND COURSE_1.department = 'SM' AND COURSE_1.number = 217 | WITH "_u_0" AS (SELECT "STUDENT_RECORDalias0"."course_id" FROM "student_record" "STUDENT_RECORDalias0" WHERE "STUDENT_RECORDalias0"."student_id" = 1 GROUP BY "course_id") SELECT DISTINCT "COURSE_0"."department", "COURSE_0"."name", "COURSE_0"."number" FROM "course" "COURSE_0" LEFT JOIN "_u_0" "_u_0" ON "COURSE_0"."course_id" = "_u_0"."" JOIN "course_prerequisite" ON "COURSE_0"."course_id" = "course_prerequisite"."pre_course_id" JOIN "course" "COURSE_1" ON "COURSE_1"."course_id" = "course_prerequisite"."course_id" AND "COURSE_1"."department" = 'SM' AND "COURSE_1"."number" = 217 WHERE "_u_0"."" IS NULL | 0.591797 |
CREATE TABLE table_203_352 (id NUMBER, "position" NUMBER, "swara" CLOB, "short name" CLOB, "notation" CLOB, "mnemonic" CLOB)
| list each pair of swaras that share the same position . | SELECT "swara" FROM table_203_352 WHERE "position" IN (SELECT "position" FROM table_203_352 GROUP BY "position" HAVING COUNT(*) > 1) | SELECT "swara" FROM "table_203_352" WHERE "position" IN (SELECT "position" FROM "table_203_352" GROUP BY "position" HAVING COUNT(*) > 1) | 0.132813 |
CREATE TABLE PROFESSOR (EMP_NUM NUMBER, DEPT_CODE VARCHAR2, PROF_OFFICE VARCHAR2, PROF_EXTENSION VARCHAR2, PROF_HIGH_DEGREE VARCHAR2)
CREATE TABLE DEPARTMENT (DEPT_CODE VARCHAR2, DEPT_NAME VARCHAR2, SCHOOL_CODE VARCHAR2, EMP_NUM NUMBER, DEPT_ADDRESS VARCHAR2, DEPT_EXTENSION VARCHAR2)
CREATE TABLE CLASS (CLASS_CODE VARCHAR2, CRS_CODE VARCHAR2, CLASS_SECTION VARCHAR2, CLASS_TIME VARCHAR2, CLASS_ROOM VARCHAR2, PROF_NUM NUMBER)
CREATE TABLE COURSE (CRS_CODE VARCHAR2, DEPT_CODE VARCHAR2, CRS_DESCRIPTION VARCHAR2, CRS_CREDIT FLOAT)
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 ENROLL (CLASS_CODE VARCHAR2, STU_NUM NUMBER, ENROLL_GRADE VARCHAR2)
CREATE TABLE EMPLOYEE (EMP_NUM NUMBER, EMP_LNAME VARCHAR2, EMP_FNAME VARCHAR2, EMP_INITIAL VARCHAR2, EMP_JOBCODE VARCHAR2, EMP_HIREDATE DATETIME, EMP_DOB DATETIME)
| Return a histogram on how many professors have a PhD in each department?, and I want to rank by the X-axis in asc. | SELECT DEPT_CODE, COUNT(*) FROM PROFESSOR WHERE PROF_HIGH_DEGREE = 'Ph.D.' GROUP BY DEPT_CODE ORDER BY DEPT_CODE | SELECT "DEPT_CODE", COUNT(*) FROM "PROFESSOR" WHERE "PROF_HIGH_DEGREE" = 'Ph.D.' GROUP BY "DEPT_CODE" ORDER BY "DEPT_CODE" | 0.119141 |
CREATE TABLE table_name_91 (first_elected VARCHAR2, district VARCHAR2)
| How many values of first elected are for district 16? | SELECT COUNT(first_elected) FROM table_name_91 WHERE district = "16" | SELECT COUNT("first_elected") FROM "table_name_91" WHERE "16" = "district" | 0.072266 |
CREATE TABLE Products (Code NUMBER, Name VARCHAR2, Price NUMBER, Manufacturer NUMBER)
CREATE TABLE Manufacturers (Code NUMBER, Name VARCHAR2, Headquarter VARCHAR2, Founder VARCHAR2, Revenue FLOAT)
| For those records from the products and each product's manufacturer, find founder and the average of manufacturer , and group by attribute founder, and visualize them by a bar chart, list from high to low by the Y-axis. | SELECT Founder, AVG(Manufacturer) FROM Products AS T1 JOIN Manufacturers AS T2 ON T1.Manufacturer = T2.Code GROUP BY Founder ORDER BY AVG(Manufacturer) DESC | SELECT "Founder", AVG("Manufacturer") FROM "Products" "T1" JOIN "Manufacturers" "T2" ON "T1"."Manufacturer" = "T2"."Code" GROUP BY "Founder" ORDER BY AVG("Manufacturer") DESC | 0.169922 |
CREATE TABLE table_160510_5 (m_r_romaja VARCHAR2, region VARCHAR2)
| Name the m r romaja for kwanbuk | SELECT m_r_romaja FROM table_160510_5 WHERE region = "Kwanbuk" | SELECT "m_r_romaja" FROM "table_160510_5" WHERE "Kwanbuk" = "region" | 0.066406 |
CREATE TABLE table_name_2 (heat NUMBER, nationality VARCHAR2, lane VARCHAR2)
| What is the highest heat of the athlete from spain with a lane less than 7? | SELECT MAX(heat) FROM table_name_2 WHERE nationality = "spain" AND lane < 7 | SELECT MAX("heat") FROM "table_name_2" WHERE "lane" < 7 AND "nationality" = "spain" | 0.081055 |
CREATE TABLE table_43010 ("Game" FLOAT, "Date" CLOB, "Team" CLOB, "Score" CLOB, "Location Attendance" CLOB, "Record" CLOB)
| Which Location Attendance has a Game larger than 5? | SELECT "Location Attendance" FROM table_43010 WHERE "Game" > '5' | SELECT "Location Attendance" FROM "table_43010" WHERE "Game" > '5' | 0.064453 |
CREATE TABLE Lots (lot_id NUMBER, investor_id NUMBER, lot_details VARCHAR2)
CREATE TABLE Sales (sales_transaction_id NUMBER, sales_details VARCHAR2)
CREATE TABLE Transactions (transaction_id NUMBER, investor_id NUMBER, transaction_type_code VARCHAR2, date_of_transaction DATETIME, amount_of_transaction NUMBER, share_count VARCHAR2, other_details VARCHAR2)
CREATE TABLE Ref_Transaction_Types (transaction_type_code VARCHAR2, transaction_type_description VARCHAR2)
CREATE TABLE Investors (investor_id NUMBER, Investor_details VARCHAR2)
CREATE TABLE Transactions_Lots (transaction_id NUMBER, lot_id NUMBER)
CREATE TABLE Purchases (purchase_transaction_id NUMBER, purchase_details VARCHAR2)
| Return the number of the lot details of lots that belong to investors with details 'l'?, sort total number in asc order. | SELECT lot_details, COUNT(lot_details) FROM Investors AS T1 JOIN Lots AS T2 ON T1.investor_id = T2.investor_id WHERE T1.Investor_details = "l" GROUP BY lot_details ORDER BY COUNT(lot_details) | SELECT "lot_details", COUNT("lot_details") FROM "Investors" "T1" JOIN "Lots" "T2" ON "T1"."investor_id" = "T2"."investor_id" WHERE "T1"."Investor_details" = "l" GROUP BY "lot_details" ORDER BY COUNT("lot_details") | 0.208008 |
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 area (course_id NUMBER, area VARCHAR2)
CREATE TABLE comment_instructor (instructor_id NUMBER, student_id NUMBER, score NUMBER, comment_text VARCHAR2)
CREATE TABLE program_course (program_id NUMBER, course_id NUMBER, workload NUMBER, category VARCHAR2)
CREATE TABLE program_requirement (program_id NUMBER, category VARCHAR2, min_credit NUMBER, additional_req VARCHAR2)
CREATE TABLE course_tags_count (course_id NUMBER, clear_grading NUMBER, pop_quiz NUMBER, group_projects NUMBER, inspirational NUMBER, long_lectures NUMBER, extra_credit NUMBER, few_tests NUMBER, good_feedback NUMBER, tough_tests NUMBER, heavy_papers NUMBER, cares_for_students NUMBER, heavy_assignments NUMBER, respected NUMBER, participation NUMBER, heavy_reading NUMBER, tough_grader NUMBER, hilarious NUMBER, would_take_again NUMBER, good_lecture NUMBER, no_skip NUMBER)
CREATE TABLE gsi (course_offering_id NUMBER, student_id NUMBER)
CREATE TABLE offering_instructor (offering_instructor_id NUMBER, offering_id NUMBER, instructor_id NUMBER)
CREATE TABLE course_prerequisite (pre_course_id NUMBER, course_id NUMBER)
CREATE TABLE ta (campus_job_id NUMBER, student_id NUMBER, location VARCHAR2)
CREATE TABLE requirement (requirement_id NUMBER, requirement VARCHAR2, college VARCHAR2)
CREATE TABLE program (program_id NUMBER, name VARCHAR2, college VARCHAR2, introduction VARCHAR2)
CREATE TABLE course (course_id NUMBER, name VARCHAR2, department VARCHAR2, number VARCHAR2, credits VARCHAR2, advisory_requirement VARCHAR2, enforced_requirement VARCHAR2, description VARCHAR2, num_semesters NUMBER, num_enrolled NUMBER, has_discussion VARCHAR2, has_lab VARCHAR2, has_projects VARCHAR2, has_exams VARCHAR2, num_reviews NUMBER, clarity_score NUMBER, easiness_score NUMBER, helpfulness_score NUMBER)
CREATE TABLE semester (semester_id NUMBER, semester VARCHAR2, year NUMBER)
CREATE TABLE jobs (job_id NUMBER, job_title VARCHAR2, description VARCHAR2, requirement VARCHAR2, city VARCHAR2, state VARCHAR2, country VARCHAR2, zip NUMBER)
CREATE TABLE course_offering (offering_id NUMBER, course_id NUMBER, semester NUMBER, section_number NUMBER, start_time TIME, end_time TIME, monday VARCHAR2, tuesday VARCHAR2, wednesday VARCHAR2, thursday VARCHAR2, friday VARCHAR2, saturday VARCHAR2, sunday VARCHAR2, has_final_project VARCHAR2, has_final_exam VARCHAR2, textbook VARCHAR2, class_address VARCHAR2, allow_audit VARCHAR2)
CREATE TABLE 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)
| What is MATSCIE 489 ? | SELECT DISTINCT name FROM course WHERE department = 'MATSCIE' AND number = 489 | SELECT DISTINCT "name" FROM "course" WHERE "department" = 'MATSCIE' AND "number" = 489 | 0.083984 |
CREATE TABLE table_name_68 (Id VARCHAR2)
| What is the value for 2007 when 2008 is Q1? | SELECT 2007 FROM table_name_68 WHERE 2008 = "q1" | SELECT 2007 FROM "table_name_68" WHERE "q1" = 2008 | 0.048828 |
CREATE TABLE table_71548 ("Date" CLOB, "Winner" CLOB, "Score" CLOB, "Location" CLOB, "Series" CLOB)
| What is the Score, when the Location is Clemson, SC, when the Winner is Clemson, and when the Date is November 11, 2006? | SELECT "Score" FROM table_71548 WHERE "Location" = 'clemson, sc' AND "Winner" = 'clemson' AND "Date" = 'november 11, 2006' | SELECT "Score" FROM "table_71548" WHERE "Date" = 'november 11, 2006' AND "Location" = 'clemson, sc' AND "Winner" = 'clemson' | 0.121094 |
CREATE TABLE table_204_357 (id NUMBER, "year" NUMBER, "div." CLOB, "pos." CLOB, "cup" CLOB, "top scorer ( league ) " CLOB, "score" NUMBER)
| the number of times alisher kholigov was the top scorer in the league ? | SELECT COUNT(*) FROM table_204_357 WHERE "top scorer (league)" = 'alisher kholiqov' | SELECT COUNT(*) FROM "table_204_357" WHERE "top scorer (league)" = 'alisher kholiqov' | 0.083008 |
CREATE TABLE table_29494 ("Club" CLOB, "Location" CLOB, "Ground" CLOB, "Manager" CLOB, "Titles" FLOAT, "Last title" CLOB)
| Where is the team that is managed by richard barnwell from? | SELECT "Location" FROM table_29494 WHERE "Manager" = 'Richard Barnwell' | SELECT "Location" FROM "table_29494" WHERE "Manager" = 'Richard Barnwell' | 0.071289 |
CREATE TABLE table_name_86 (_percentage_of_seats VARCHAR2, difference VARCHAR2)
| What is the % of seats where the difference is 0.25? | SELECT _percentage_of_seats FROM table_name_86 WHERE difference = "0.25" | SELECT "_percentage_of_seats" FROM "table_name_86" WHERE "0.25" = "difference" | 0.076172 |
CREATE TABLE table_35940 ("Game" FLOAT, "Date" CLOB, "Opponent" CLOB, "Score" CLOB, "Location" CLOB, "Record" CLOB)
| Opponent of @ phoenix suns had what sum of game? | SELECT SUM("Game") FROM table_35940 WHERE "Opponent" = '@ phoenix suns' | SELECT SUM("Game") FROM "table_35940" WHERE "Opponent" = '@ phoenix suns' | 0.071289 |
CREATE TABLE table_15454 ("Date" CLOB, "Home captain" CLOB, "Away captain" CLOB, "Venue" CLOB, "Result" CLOB)
| Which venue has a Date of 20,21,22,23,24 november 1998? | SELECT "Venue" FROM table_15454 WHERE "Date" = '20,21,22,23,24 november 1998' | SELECT "Venue" FROM "table_15454" WHERE "Date" = '20,21,22,23,24 november 1998' | 0.077148 |
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, a scatter chart shows the correlation between price and manufacturer . | SELECT Price, Manufacturer FROM Products AS T1 JOIN Manufacturers AS T2 ON T1.Manufacturer = T2.Code | SELECT "Price", "Manufacturer" FROM "Products" "T1" JOIN "Manufacturers" "T2" ON "T1"."Manufacturer" = "T2"."Code" | 0.111328 |
CREATE TABLE postseason (year VARCHAR2, team_id_winner VARCHAR2)
CREATE TABLE team (team_id_br VARCHAR2, name VARCHAR2)
| What is the number of wins the team Boston Red Stockings got in the postseasons each year in history? | SELECT COUNT(*), T1.year FROM postseason AS T1 JOIN team AS T2 ON T1.team_id_winner = T2.team_id_br WHERE T2.name = 'Boston Red Stockings' GROUP BY T1.year | SELECT COUNT(*), "T1"."year" FROM "postseason" "T1" JOIN "team" "T2" ON "T1"."team_id_winner" = "T2"."team_id_br" AND "T2"."name" = 'Boston Red Stockings' GROUP BY "T1"."year" | 0.170898 |
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