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CREATE TABLE table_name_29 (turbo VARCHAR2, release_price___usd__ VARCHAR2)
| What Turbo has the Release price (USD) of $583? | SELECT turbo FROM table_name_29 WHERE release_price___usd__ = "$583" | SELECT "turbo" FROM "table_name_29" WHERE "$583" = "release_price___usd__" | 0.072266 |
CREATE TABLE table_9566 ("Tournament" CLOB, "Surface" CLOB, "Week" CLOB, "Winner" CLOB, "Finalist" CLOB, "Semifinalists" CLOB)
| Which week held a tournament in Rome? | SELECT "Week" FROM table_9566 WHERE "Tournament" = 'rome' | SELECT "Week" FROM "table_9566" WHERE "Tournament" = 'rome' | 0.057617 |
CREATE TABLE table_66871 ("Region" CLOB, "Date" CLOB, "Label" CLOB, "Format" CLOB, "Catalog" CLOB, "Note" CLOB)
| Name the label with catalog of mhcl-20005 | SELECT "Label" FROM table_66871 WHERE "Catalog" = 'mhcl-20005' | SELECT "Label" FROM "table_66871" WHERE "Catalog" = 'mhcl-20005' | 0.0625 |
CREATE TABLE table_61623 ("Tournament" CLOB, "1993" CLOB, "1994" CLOB, "1995" CLOB, "1996" CLOB, "1998" CLOB, "2003" CLOB, "2004" CLOB, "2005" CLOB, "Career" CLOB)
| What is the 1998 value with 2r in 2003? | SELECT "1998" FROM table_61623 WHERE "2003" = '2r' | SELECT "1998" FROM "table_61623" WHERE "2003" = '2r' | 0.050781 |
CREATE TABLE table_33733 ("1st player's choice" CLOB, "2nd player's choice" CLOB, "Probability 1st player wins" CLOB, "Probability 2nd player wins" CLOB, "Probability of a draw" CLOB)
| When the 2nd player's choice is r bb what is the probability the 1st player wins 0.11%? | SELECT "Probability of a draw" FROM table_33733 WHERE "2nd player's choice" = 'r bb' AND "Probability 1st player wins" = '0.11%' | SELECT "Probability of a draw" FROM "table_33733" WHERE "2nd player's choice" = 'r bb' AND "Probability 1st player wins" = '0.11%' | 0.126953 |
CREATE TABLE table_name_51 (games NUMBER, name VARCHAR2)
| What is the average games of Tony Dixon? | SELECT AVG(games) AS ↑ FROM table_name_51 WHERE name = "tony dixon" | SELECT AVG("games") AS "↑" FROM "table_name_51" WHERE "name" = "tony dixon" | 0.073242 |
CREATE TABLE table_20165 ("No. in series" CLOB, "No. in season" CLOB, "Title" CLOB, "Directed by" CLOB, "Written by" CLOB, "Original air date" CLOB, "U.S. viewers ( million ) " CLOB)
| Name the total number of air dates for 102 episode | SELECT COUNT("Original air date") FROM table_20165 WHERE "No. in series" = '102' | SELECT COUNT("Original air date") FROM "table_20165" WHERE "No. in series" = '102' | 0.080078 |
CREATE TABLE program (program_id NUMBER, name VARCHAR2, college VARCHAR2, introduction VARCHAR2)
CREATE TABLE student_record (student_id NUMBER, course_id NUMBER, semester NUMBER, grade VARCHAR2, how VARCHAR2, transfer_source VARCHAR2, earn_credit VARCHAR2, repeat_term VARCHAR2, test_id VARCHAR2)
CREATE TABLE program_course (program_id NUMBER, course_id NUMBER, workload NUMBER, category VARCHAR2)
CREATE TABLE requirement (requirement_id NUMBER, requirement VARCHAR2, college VARCHAR2)
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 jobs (job_id NUMBER, job_title VARCHAR2, description VARCHAR2, requirement VARCHAR2, city VARCHAR2, state VARCHAR2, country VARCHAR2, zip 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 semester (semester_id NUMBER, semester VARCHAR2, year 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 instructor (instructor_id NUMBER, name VARCHAR2, uniqname 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 area (course_id NUMBER, area VARCHAR2)
CREATE TABLE ta (campus_job_id NUMBER, student_id NUMBER, location VARCHAR2)
CREATE TABLE comment_instructor (instructor_id NUMBER, student_id NUMBER, score NUMBER, comment_text VARCHAR2)
CREATE TABLE course_prerequisite (pre_course_id NUMBER, course_id NUMBER)
CREATE TABLE offering_instructor (offering_instructor_id NUMBER, offering_id NUMBER, instructor_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)
| How many of next semester 's classes will be HMP ? | SELECT COUNT(DISTINCT course_offering.course_id) FROM course, course_offering, semester WHERE course.course_id = course_offering.course_id AND course.department = 'HMP' AND semester.semester = 'FA' AND semester.semester_id = course_offering.semester AND semester.year = 2016 | SELECT COUNT(DISTINCT "course_offering"."course_id") FROM "course" JOIN "course_offering" ON "course"."course_id" = "course_offering"."course_id" JOIN "semester" ON "course_offering"."semester" = "semester"."semester_id" AND "semester"."semester" = 'FA' AND "semester"."year" = 2016 WHERE "course"."department" = 'HMP' | 0.310547 |
CREATE TABLE Rating (mID VARCHAR2, stars NUMBER)
CREATE TABLE Movie (title VARCHAR2, director VARCHAR2, mID VARCHAR2)
| What are the titles and directors of the movies whose star is greater than the average stars of the movies directed by James Cameron? | SELECT T2.title, T2.director FROM Rating AS T1 JOIN Movie AS T2 ON T1.mID = T2.mID WHERE T1.stars > (SELECT AVG(T1.stars) FROM Rating AS T1 JOIN Movie AS T2 ON T1.mID = T2.mID WHERE T2.director = "James Cameron") | WITH "_u_0" AS (SELECT AVG("T1"."stars"), "T2"."director" AS "_u_1" FROM "Rating" "T1" JOIN "Movie" "T2" ON "T1"."mID" = "T2"."mID" GROUP BY "T2"."director") SELECT "T2"."title", "T2"."director" FROM "Rating" "T1" LEFT JOIN "_u_0" "_u_0" ON "James Cameron" = "_u_0"."_u_1" JOIN "Movie" "T2" ON "T1"."mID" = "T2"."mID" WHERE "T1"."stars" > "_u_0"."" | 0.339844 |
CREATE TABLE table_32189 ("Home team" CLOB, "Home team score" CLOB, "Away team" CLOB, "Away team score" CLOB, "Venue" CLOB, "Crowd" FLOAT, "Date" CLOB)
| What is the team of Essendon's score in the game where they were the home team? | SELECT "Home team score" FROM table_32189 WHERE "Home team" = 'essendon' | SELECT "Home team score" FROM "table_32189" WHERE "Home team" = 'essendon' | 0.072266 |
CREATE TABLE table_name_79 (total_population__1000_ NUMBER, country VARCHAR2, born_in_a_non_eu_state__1000_ VARCHAR2)
| What is the greatest Total population (1000) from Sweden and born in a non EU state (1000) less than 859? | SELECT MAX(total_population__1000_) FROM table_name_79 WHERE country = "sweden" AND born_in_a_non_eu_state__1000_ < 859 | SELECT MAX("total_population__1000_") FROM "table_name_79" WHERE "born_in_a_non_eu_state__1000_" < 859 AND "country" = "sweden" | 0.124023 |
CREATE TABLE table_name_53 (finalists VARCHAR2, season VARCHAR2)
| Who were the finalists in the 1972 73 season? | SELECT finalists FROM table_name_53 WHERE season = "1972–73" | SELECT "finalists" FROM "table_name_53" WHERE "1972–73" = "season" | 0.064453 |
CREATE TABLE table_203_482 (id NUMBER, "year" NUMBER, "award" CLOB, "result" CLOB, "category" CLOB, "series" CLOB)
| how many awards total was scrubs nominated for ? | SELECT COUNT("award") FROM table_203_482 | SELECT COUNT("award") FROM "table_203_482" | 0.041016 |
CREATE TABLE table_name_33 (away_team VARCHAR2, score VARCHAR2)
| Which Away team has a Score of 4 2? | SELECT away_team FROM table_name_33 WHERE score = "4–2" | SELECT "away_team" FROM "table_name_33" WHERE "4–2" = "score" | 0.05957 |
CREATE TABLE table_3074 ("Country" CLOB, "Skip" CLOB, "W" FLOAT, "L" FLOAT, "PF" FLOAT, "PA" FLOAT, "Ends Won" FLOAT, "Ends Lost" FLOAT, "Blank Ends" FLOAT, "Stolen Ends" FLOAT, "Shot %" CLOB)
| How many ends won were smaller than 46.0? | SELECT MAX("W") FROM table_3074 WHERE "Ends Won" < '46.0' | SELECT MAX("W") FROM "table_3074" WHERE "Ends Won" < '46.0' | 0.057617 |
CREATE TABLE table_name_84 (time VARCHAR2, date VARCHAR2)
| What Time has Date of May 9? | SELECT time FROM table_name_84 WHERE date = "may 9" | SELECT "time" FROM "table_name_84" WHERE "date" = "may 9" | 0.055664 |
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
| give me the number of patients whose admission type is urgent and ethnicity is hispanic/latino - puerto rican? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.admission_type = "URGENT" AND demographic.ethnicity = "HISPANIC/LATINO - PUERTO RICAN" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "HISPANIC/LATINO - PUERTO RICAN" = "demographic"."ethnicity" AND "URGENT" = "demographic"."admission_type" | 0.176758 |
CREATE TABLE table_16943 ("Date" CLOB, "Tournament" CLOB, "Location" CLOB, "Purse ( $ ) " FLOAT, "Winner" CLOB, "Score" CLOB, "1st Prize ( $ ) " FLOAT)
| what is the total number of purse( $ ) where winner is jimmy powell (2) | SELECT COUNT("Purse( $ )") FROM table_16943 WHERE "Winner" = 'Jimmy Powell (2)' | SELECT COUNT("Purse( $ )") FROM "table_16943" WHERE "Winner" = 'Jimmy Powell (2)' | 0.079102 |
CREATE TABLE publication (publication_id NUMBER, book_id NUMBER, publisher CLOB, publication_date CLOB, price NUMBER)
CREATE TABLE book (book_id NUMBER, title CLOB, issues NUMBER, writer CLOB)
| List the writers of the books in ascending alphabetical order. | SELECT writer FROM book ORDER BY writer | SELECT "writer" FROM "book" ORDER BY "writer" | 0.043945 |
CREATE TABLE lots (lot_id NUMBER, investor_id NUMBER, lot_details CLOB)
CREATE TABLE ref_transaction_types (transaction_type_code CLOB, transaction_type_description CLOB)
CREATE TABLE purchases (purchase_transaction_id NUMBER, purchase_details CLOB)
CREATE TABLE transactions_lots (transaction_id NUMBER, lot_id NUMBER)
CREATE TABLE transactions (transaction_id NUMBER, investor_id NUMBER, transaction_type_code CLOB, date_of_transaction TIME, amount_of_transaction NUMBER, share_count CLOB, other_details CLOB)
CREATE TABLE sales (sales_transaction_id NUMBER, sales_details CLOB)
CREATE TABLE investors (investor_id NUMBER, investor_details CLOB)
| Show the description of the transaction type that occurs most frequently. | SELECT T1.transaction_type_description FROM ref_transaction_types AS T1 JOIN transactions AS T2 ON T1.transaction_type_code = T2.transaction_type_code GROUP BY T1.transaction_type_code ORDER BY COUNT(*) DESC LIMIT 1 | SELECT "T1"."transaction_type_description" FROM "ref_transaction_types" "T1" JOIN "transactions" "T2" ON "T1"."transaction_type_code" = "T2"."transaction_type_code" GROUP BY "T1"."transaction_type_code" ORDER BY COUNT(*) DESC FETCH FIRST 1 ROWS ONLY | 0.243164 |
CREATE TABLE table_name_17 (long VARCHAR2, avg_g VARCHAR2)
| What is the long value for the year with an average/game of 160.9? | SELECT long FROM table_name_17 WHERE avg_g = "160.9" | SELECT "long" FROM "table_name_17" WHERE "160.9" = "avg_g" | 0.056641 |
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 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 procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE admissions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, admittime TIME, dischtime TIME, admission_type CLOB, admission_location CLOB, discharge_location CLOB, insurance CLOB, language CLOB, marital_status CLOB, ethnicity CLOB, age NUMBER)
CREATE TABLE diagnoses_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 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 labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
CREATE TABLE outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
CREATE TABLE patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
CREATE TABLE inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
CREATE TABLE 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)
| what were the three most frequent drugs prescribed for patients who were also prescribed with chlorhexidine gluconate at the same time in 2105? | SELECT t3.drug FROM (SELECT t2.drug, DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS c1 FROM (SELECT admissions.subject_id, prescriptions.startdate FROM prescriptions JOIN admissions ON prescriptions.hadm_id = admissions.hadm_id WHERE prescriptions.drug = 'chlorhexidine gluconate' AND STRFTIME('%y', prescriptions.startdate) = '2105') AS t1 JOIN (SELECT admissions.subject_id, prescriptions.drug, prescriptions.startdate FROM prescriptions JOIN admissions ON prescriptions.hadm_id = admissions.hadm_id WHERE STRFTIME('%y', prescriptions.startdate) = '2105') AS t2 ON t1.subject_id = t2.subject_id WHERE DATETIME(t1.startdate) = DATETIME(t2.startdate) GROUP BY t2.drug) AS t3 WHERE t3.c1 <= 3 | WITH "t2" AS (SELECT "admissions"."subject_id", "prescriptions"."drug", "prescriptions"."startdate" FROM "prescriptions" JOIN "admissions" ON "admissions"."hadm_id" = "prescriptions"."hadm_id" WHERE STRFTIME('%y', "prescriptions"."startdate") = '2105'), "t3" AS (SELECT "t2"."drug", DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS "c1" FROM "prescriptions" JOIN "admissions" ON "admissions"."hadm_id" = "prescriptions"."hadm_id" JOIN "t2" "t2" ON "admissions"."subject_id" = "t2"."subject_id" AND DATETIME("prescriptions"."startdate") = DATETIME("t2"."startdate") WHERE "prescriptions"."drug" = 'chlorhexidine gluconate' AND STRFTIME('%y', "prescriptions"."startdate") = '2105' GROUP BY "t2"."drug") SELECT "t3"."drug" FROM "t3" "t3" WHERE "t3"."c1" <= 3 | 0.734375 |
CREATE TABLE table_19229713_6 (us_viewers__million_ VARCHAR2, _number VARCHAR2)
| How many u.s. viewers (million) have the number 16? | SELECT us_viewers__million_ FROM table_19229713_6 WHERE _number = 16 | SELECT "us_viewers__million_" FROM "table_19229713_6" WHERE "_number" = 16 | 0.072266 |
CREATE TABLE table_70327 ("Year" FLOAT, "Award" CLOB, "Category" CLOB, "Nominated Work" CLOB, "Result" CLOB)
| What result in the table is from the year 2012? | SELECT "Result" FROM table_70327 WHERE "Year" = '2012' | SELECT "Result" FROM "table_70327" WHERE "Year" = '2012' | 0.054688 |
CREATE TABLE table_9839 ("Date" CLOB, "Tournament" CLOB, "Winning score" CLOB, "Margin of victory" CLOB, "Runner ( s ) -up" CLOB)
| When was the Jamaica Classic Tournament? | SELECT "Date" FROM table_9839 WHERE "Tournament" = 'the jamaica classic' | SELECT "Date" FROM "table_9839" WHERE "Tournament" = 'the jamaica classic' | 0.072266 |
CREATE TABLE table_60594 ("Rank" FLOAT, "Nation" CLOB, "Gold" FLOAT, "Silver" FLOAT, "Bronze" FLOAT, "Total" FLOAT)
| What is the average total for 0 bronze? | SELECT AVG("Total") FROM table_60594 WHERE "Bronze" < '0' | SELECT AVG("Total") FROM "table_60594" WHERE "Bronze" < '0' | 0.057617 |
CREATE TABLE table_22873 ("Outcome" CLOB, "Year" FLOAT, "Championship" CLOB, "Surface" CLOB, "Partner" CLOB, "Opponents" CLOB, "Score" CLOB)
| Who was her partner at the US Open and they were runner-up? | SELECT "Partner" FROM table_22873 WHERE "Outcome" = 'Runner-up' AND "Championship" = 'US Open' | SELECT "Partner" FROM "table_22873" WHERE "Championship" = 'US Open' AND "Outcome" = 'Runner-up' | 0.09375 |
CREATE TABLE table_name_89 (position VARCHAR2, no_s_ VARCHAR2, years_for_rockets VARCHAR2)
| Name the position for number 11 and years on the rockets for 1989-95 | SELECT position FROM table_name_89 WHERE no_s_ = "11" AND years_for_rockets = "1989-95" | SELECT "position" FROM "table_name_89" WHERE "11" = "no_s_" AND "1989-95" = "years_for_rockets" | 0.092773 |
CREATE TABLE table_51027 ("Club" CLOB, "Played" CLOB, "Drawn" CLOB, "Lost" CLOB, "Points for" CLOB, "Points against" CLOB, "Points difference" CLOB, "Bonus Points" CLOB, "Points" CLOB)
| What is the club had 431 points against them? | SELECT "Club" FROM table_51027 WHERE "Points against" = '431' | SELECT "Club" FROM "table_51027" WHERE "Points against" = '431' | 0.061523 |
CREATE TABLE table_name_27 (current_streak VARCHAR2, last_5_meetings VARCHAR2)
| what is the current streak when the last 5 meetings is osu, 4-1? | SELECT current_streak FROM table_name_27 WHERE last_5_meetings = "osu, 4-1" | SELECT "current_streak" FROM "table_name_27" WHERE "last_5_meetings" = "osu, 4-1" | 0.079102 |
CREATE TABLE table_42015 ("Name" CLOB, "Total" CLOB, "League" CLOB, "Canadian Championship" CLOB, "CONCACAF Champions League" CLOB)
| What name has a CONCACAF Champions League of 2 (0) and also a Canadian Championship of 8 (0)? | SELECT "Name" FROM table_42015 WHERE "CONCACAF Champions League" = '2 (0)' AND "Canadian Championship" = '8 (0)' | SELECT "Name" FROM "table_42015" WHERE "CONCACAF Champions League" = '2 (0)' AND "Canadian Championship" = '8 (0)' | 0.111328 |
CREATE TABLE time_interval (period CLOB, begin_time NUMBER, end_time NUMBER)
CREATE TABLE flight_leg (flight_id NUMBER, leg_number NUMBER, leg_flight NUMBER)
CREATE TABLE airline (airline_code VARCHAR2, airline_name CLOB, note CLOB)
CREATE TABLE ground_service (city_code CLOB, airport_code CLOB, transport_type CLOB, ground_fare NUMBER)
CREATE TABLE class_of_service (booking_class VARCHAR2, rank NUMBER, class_description 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 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 compartment_class (compartment VARCHAR2, class_type VARCHAR2)
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 month (month_number NUMBER, month_name CLOB)
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 state (state_code CLOB, state_name CLOB, country_name CLOB)
CREATE TABLE food_service (meal_code CLOB, meal_number NUMBER, compartment CLOB, meal_description VARCHAR2)
CREATE TABLE city (city_code VARCHAR2, city_name VARCHAR2, state_code VARCHAR2, country_name VARCHAR2, time_zone_code VARCHAR2)
CREATE TABLE time_zone (time_zone_code CLOB, time_zone_name CLOB, hours_from_gmt NUMBER)
CREATE TABLE 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 days (days_code VARCHAR2, day_name VARCHAR2)
CREATE TABLE fare_basis (fare_basis_code CLOB, booking_class CLOB, class_type CLOB, premium CLOB, economy CLOB, discounted CLOB, night CLOB, season CLOB, basis_days CLOB)
CREATE TABLE 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 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 airport_service (city_code VARCHAR2, airport_code VARCHAR2, miles_distant NUMBER, direction VARCHAR2, minutes_distant NUMBER)
| all flights leaving WASHINGTON to SAN FRANCISCO that are FIRST class | SELECT DISTINCT flight.flight_id FROM airport_service AS AIRPORT_SERVICE_0, airport_service AS AIRPORT_SERVICE_1, city AS CITY_0, city AS CITY_1, fare, fare_basis, flight, flight_fare WHERE (CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'SAN FRANCISCO' AND fare_basis.class_type = 'FIRST' AND fare.fare_basis_code = fare_basis.fare_basis_code AND flight_fare.fare_id = fare.fare_id AND flight.flight_id = flight_fare.flight_id AND flight.to_airport = AIRPORT_SERVICE_1.airport_code) AND CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'WASHINGTON' 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" = 'WASHINGTON' JOIN "flight" ON "AIRPORT_SERVICE_0"."airport_code" = "flight"."from_airport" JOIN "airport_service" "AIRPORT_SERVICE_1" ON "AIRPORT_SERVICE_1"."airport_code" = "flight"."to_airport" JOIN "flight_fare" ON "flight"."flight_id" = "flight_fare"."flight_id" JOIN "city" "CITY_1" ON "AIRPORT_SERVICE_1"."city_code" = "CITY_1"."city_code" AND "CITY_1"."city_name" = 'SAN FRANCISCO' JOIN "fare" ON "fare"."fare_id" = "flight_fare"."fare_id" JOIN "fare_basis" ON "fare"."fare_basis_code" = "fare_basis"."fare_basis_code" AND "fare_basis"."class_type" = 'FIRST' | 0.733398 |
CREATE TABLE Department (DNO NUMBER, Division VARCHAR2, DName VARCHAR2, Room VARCHAR2, Building VARCHAR2, DPhone NUMBER)
CREATE TABLE Gradeconversion (lettergrade VARCHAR2, gradepoint FLOAT)
CREATE TABLE Enrolled_in (StuID NUMBER, CID VARCHAR2, Grade VARCHAR2)
CREATE TABLE Student (StuID NUMBER, LName VARCHAR2, Fname VARCHAR2, Age NUMBER, Sex VARCHAR2, Major NUMBER, Advisor NUMBER, city_code VARCHAR2)
CREATE TABLE Member_of (FacID NUMBER, DNO NUMBER, Appt_Type VARCHAR2)
CREATE TABLE Faculty (FacID NUMBER, Lname VARCHAR2, Fname VARCHAR2, Rank VARCHAR2, Sex VARCHAR2, Phone NUMBER, Room VARCHAR2, Building VARCHAR2)
CREATE TABLE Course (CID VARCHAR2, CName VARCHAR2, Credits NUMBER, Instructor NUMBER, Days VARCHAR2, Hours VARCHAR2, DNO NUMBER)
CREATE TABLE Minor_in (StuID NUMBER, DNO NUMBER)
| Give me the comparison about the sum of Instructor over the Days , and group by attribute Days by a bar chart. | SELECT Days, SUM(Instructor) FROM Course GROUP BY Days ORDER BY Credits | SELECT "Days", SUM("Instructor") FROM "Course" GROUP BY "Days" ORDER BY "Credits" | 0.079102 |
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 procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
| how many patients have 0 death status and are diagnosed with hx-skin malignancy nec? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.expire_flag = "0" AND diagnoses.short_title = "Hx-skin malignancy NEC" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "Hx-skin malignancy NEC" = "diagnoses"."short_title" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" WHERE "0" = "demographic"."expire_flag" | 0.227539 |
CREATE TABLE table_35932 ("Year" CLOB, "Model" CLOB, "Length" CLOB, "Width" CLOB, "Fleet Number" CLOB)
| What is fleet number for the year of 19xx? | SELECT "Fleet Number" FROM table_35932 WHERE "Year" = '19xx' | SELECT "Fleet Number" FROM "table_35932" WHERE "Year" = '19xx' | 0.060547 |
CREATE TABLE table_78411 ("Home team" CLOB, "Home team score" CLOB, "Away team" CLOB, "Away team score" CLOB, "Venue" CLOB, "Crowd" FLOAT, "Date" CLOB)
| What did the away team score when the home team was south melbourne? | SELECT "Away team score" FROM table_78411 WHERE "Home team" = 'south melbourne' | SELECT "Away team score" FROM "table_78411" WHERE "Home team" = 'south melbourne' | 0.079102 |
CREATE TABLE injury_accident (game_id NUMBER, id NUMBER, Player CLOB, Injury CLOB, Number_of_matches CLOB, Source CLOB)
CREATE TABLE game (stadium_id NUMBER, id NUMBER, Season NUMBER, Date CLOB, Home_team CLOB, Away_team CLOB, Score CLOB, Competition CLOB)
CREATE TABLE stadium (id NUMBER, name CLOB, Home_Games NUMBER, Average_Attendance FLOAT, Total_Attendance FLOAT, Capacity_Percentage FLOAT)
| List the number of games for each home team and group by away team in a stacked bar chart The x-axis is home team, and I want to list x-axis in descending order. | SELECT Home_team, COUNT(Home_team) FROM game GROUP BY Away_team, Home_team ORDER BY Home_team DESC | SELECT "Home_team", COUNT("Home_team") FROM "game" GROUP BY "Away_team", "Home_team" ORDER BY "Home_team" DESC | 0.107422 |
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 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)
| count the number of patients whose diagnoses short title is status-post ptca and drug route is dialys? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE diagnoses.short_title = "Status-post ptca" AND prescriptions.route = "DIALYS" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "Status-post ptca" = "diagnoses"."short_title" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" JOIN "prescriptions" ON "DIALYS" = "prescriptions"."route" AND "demographic"."hadm_id" = "prescriptions"."hadm_id" | 0.294922 |
CREATE TABLE table_name_58 (subject NUMBER, plural VARCHAR2)
| What is the lowest Subject, when Plural is t der (their)? | SELECT MIN(subject) FROM table_name_58 WHERE plural = "tãder (their)" | SELECT MIN("subject") FROM "table_name_58" WHERE "plural" = "tãder (their)" | 0.073242 |
CREATE TABLE table_70405 ("Year" FLOAT, "Entrant" CLOB, "Chassis" CLOB, "Engine" CLOB, "Points" FLOAT)
| How many years did barclay nordica arrows bmw enter with a bmw str-4 t/c engine with less than 1 point? | SELECT SUM("Year") FROM table_70405 WHERE "Engine" = 'bmw str-4 t/c' AND "Entrant" = 'barclay nordica arrows bmw' AND "Points" < '1' | SELECT SUM("Year") FROM "table_70405" WHERE "Engine" = 'bmw str-4 t/c' AND "Entrant" = 'barclay nordica arrows bmw' AND "Points" < '1' | 0.130859 |
CREATE TABLE table_5851 ("Designation" CLOB, "Car numbers" CLOB, "Manufacturer" CLOB, "Model No." CLOB, "First used" CLOB, "Quantity" FLOAT)
| Which Designation has a Manufacturer of siemens, and a Quantity of 52? | SELECT "Designation" FROM table_5851 WHERE "Manufacturer" = 'siemens' AND "Quantity" = '52' | SELECT "Designation" FROM "table_5851" WHERE "Manufacturer" = 'siemens' AND "Quantity" = '52' | 0.09082 |
CREATE TABLE table_77012 ("Player" CLOB, "Nationality" CLOB, "Jersey Number ( s ) " CLOB, "Position" CLOB, "Years" CLOB, "From" CLOB)
| The player from Alief Elsik Hs has what as a nationality? | SELECT "Nationality" FROM table_77012 WHERE "From" = 'alief elsik hs' | SELECT "Nationality" FROM "table_77012" WHERE "From" = 'alief elsik hs' | 0.069336 |
CREATE TABLE table_2850912_1 (nationality VARCHAR2, nhl_team VARCHAR2)
| What nationality is the draft pick player going to Minnesota North Stars? | SELECT nationality FROM table_2850912_1 WHERE nhl_team = "Minnesota North Stars" | SELECT "nationality" FROM "table_2850912_1" WHERE "Minnesota North Stars" = "nhl_team" | 0.083984 |
CREATE TABLE table_63564 ("Place" CLOB, "Player" CLOB, "Country" CLOB, "Score" CLOB, "To par" CLOB)
| What place was the player who scored 70-69-68=207? | SELECT "Place" FROM table_63564 WHERE "Score" = '70-69-68=207' | SELECT "Place" FROM "table_63564" WHERE "Score" = '70-69-68=207' | 0.0625 |
CREATE TABLE table_55364 ("L&CR No." FLOAT, "Type" CLOB, "Manufacturer" CLOB, "Delivered" CLOB, "Name" CLOB, "Jt. Cttee No." FLOAT, "1845 disposal" CLOB)
| What is the name where the delivered date is 1839/08? | SELECT "Name" FROM table_55364 WHERE "Delivered" = '1839/08' | SELECT "Name" FROM "table_55364" WHERE "Delivered" = '1839/08' | 0.060547 |
CREATE TABLE table_36785 ("Outcome" CLOB, "Date" CLOB, "Tournament" CLOB, "Surface" CLOB, "Opponent" CLOB, "Score" CLOB)
| Which Outcome has an Opponent of wendy turnbull, and a Surface of grass? | SELECT "Outcome" FROM table_36785 WHERE "Opponent" = 'wendy turnbull' AND "Surface" = 'grass' | SELECT "Outcome" FROM "table_36785" WHERE "Opponent" = 'wendy turnbull' AND "Surface" = 'grass' | 0.092773 |
CREATE TABLE table_204_484 (id NUMBER, "song" CLOB, "artists" CLOB, "release" CLOB, "year" NUMBER, "notes" CLOB)
| which artist name appears the most on this chart ? | SELECT "artists" FROM table_204_484 GROUP BY "artists" ORDER BY COUNT(*) DESC LIMIT 1 | SELECT "artists" FROM "table_204_484" GROUP BY "artists" ORDER BY COUNT(*) DESC FETCH FIRST 1 ROWS ONLY | 0.100586 |
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE 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)
| how many patients whose admission year is less than 2151 and lab test fluid is joint fluid? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.admityear < "2151" AND lab.fluid = "Joint Fluid" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "lab" ON "Joint Fluid" = "lab"."fluid" AND "demographic"."hadm_id" = "lab"."hadm_id" WHERE "2151" > "demographic"."admityear" | 0.194336 |
CREATE TABLE table_71987 ("Outcome" CLOB, "Date" CLOB, "Surface" CLOB, "Partner" CLOB, "Opponents" CLOB, "Score" CLOB)
| What was Olga Govortsova's outcome when she played on a grass surface? | SELECT "Outcome" FROM table_71987 WHERE "Surface" = 'grass' | SELECT "Outcome" FROM "table_71987" WHERE "Surface" = 'grass' | 0.05957 |
CREATE TABLE table_name_66 (group VARCHAR2, year VARCHAR2, film_series VARCHAR2)
| Which group nominated Kim in years before 2010 for Thirst? | SELECT group FROM table_name_66 WHERE year < 2010 AND film_series = "thirst" | SELECT "group" FROM "table_name_66" WHERE "film_series" = "thirst" AND "year" < 2010 | 0.082031 |
CREATE TABLE table_name_91 (position VARCHAR2, pick__number VARCHAR2, player VARCHAR2)
| What position does a Keith Shologan, who was picked higher than 6, play? | SELECT position FROM table_name_91 WHERE pick__number < 6 AND player = "keith shologan" | SELECT "position" FROM "table_name_91" WHERE "keith shologan" = "player" AND "pick__number" < 6 | 0.092773 |
CREATE TABLE table_65255 ("Name" CLOB, "Height" CLOB, "Weight" CLOB, "Spike" CLOB, "2008 club" CLOB)
| what is spike when 2008 club is vc nova? | SELECT "Spike" FROM table_65255 WHERE "2008 club" = 'vc nova' | SELECT "Spike" FROM "table_65255" WHERE "2008 club" = 'vc nova' | 0.061523 |
CREATE TABLE table_name_27 (name VARCHAR2, area VARCHAR2, roll VARCHAR2)
| Tell me the name for kelston with roll less than 322 | SELECT name FROM table_name_27 WHERE area = "kelston" AND roll < 322 | SELECT "name" FROM "table_name_27" WHERE "area" = "kelston" AND "roll" < 322 | 0.074219 |
CREATE TABLE table_name_41 (monotone VARCHAR2, clone_independence VARCHAR2, pareto_efficiency VARCHAR2, non_dictatorship VARCHAR2)
| what is the monotone when pareto efficiency is yes, non-dictatorship is yes, and clone independence is yes? | SELECT monotone FROM table_name_41 WHERE pareto_efficiency = "yes" AND non_dictatorship = "yes" AND clone_independence = "yes" | SELECT "monotone" FROM "table_name_41" WHERE "clone_independence" = "yes" AND "non_dictatorship" = "yes" AND "pareto_efficiency" = "yes" | 0.132813 |
CREATE TABLE table_5328 ("Season" CLOB, "Level" FLOAT, "Position" CLOB, "Nationality" CLOB, "Apps" FLOAT, "Goals" FLOAT)
| What is the Position of the Level 3 winner from Saint Kitts and Nevis? | SELECT "Position" FROM table_5328 WHERE "Level" = '3' AND "Nationality" = 'saint kitts and nevis' | SELECT "Position" FROM "table_5328" WHERE "Level" = '3' AND "Nationality" = 'saint kitts and nevis' | 0.09668 |
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)
CREATE TABLE Bookings_Services (Order_ID NUMBER, Product_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 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 Ref_Payment_Methods (payment_method_code CHAR, payment_method_description VARCHAR2)
CREATE TABLE Order_Items (Order_Item_ID NUMBER, Order_ID NUMBER, Product_ID NUMBER, Order_Quantity VARCHAR2, Other_Item_Details VARCHAR2)
CREATE TABLE Marketing_Regions (Marketing_Region_Code CHAR, Marketing_Region_Name VARCHAR2, Marketing_Region_Descriptrion 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 (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 Customers (Customer_ID VARCHAR2, Address_ID NUMBER, Customer_Name VARCHAR2, Customer_Phone VARCHAR2, Customer_Email_Address VARCHAR2, Other_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 Performers (Performer_ID NUMBER, Address_ID NUMBER, Customer_Name VARCHAR2, Customer_Phone VARCHAR2, Customer_Email_Address VARCHAR2, Other_Details VARCHAR2)
CREATE TABLE Performers_in_Bookings (Order_ID NUMBER, Performer_ID NUMBER)
CREATE TABLE Addresses (Address_ID VARCHAR2, Line_1 VARCHAR2, Line_2 VARCHAR2, City_Town VARCHAR2, State_County VARCHAR2, Other_Details VARCHAR2)
CREATE TABLE Clients (Client_ID NUMBER, Address_ID NUMBER, Customer_Email_Address VARCHAR2, Customer_Name VARCHAR2, Customer_Phone 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 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 Ref_Service_Types (Service_Type_Code CHAR, Parent_Service_Type_Code CHAR, Service_Type_Description VARCHAR2)
| Give me a bar chart for mean product price of each product name, I want to sort from high to low by the Y-axis. | SELECT Product_Name, AVG(Product_Price) FROM Products GROUP BY Product_Name ORDER BY AVG(Product_Price) DESC | SELECT "Product_Name", AVG("Product_Price") FROM "Products" GROUP BY "Product_Name" ORDER BY AVG("Product_Price") DESC | 0.115234 |
CREATE TABLE table_204_301 (id NUMBER, "nationality" CLOB, "name" CLOB, "term as a deputy judge" CLOB, "reason for termination" CLOB)
| what is the total number of deputy judges that were post abolished ? | SELECT COUNT("name") FROM table_204_301 WHERE "reason for termination" = 'post abolished' | SELECT COUNT("name") FROM "table_204_301" WHERE "reason for termination" = 'post abolished' | 0.088867 |
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 diagnosis (diagnosisid NUMBER, patientunitstayid NUMBER, diagnosisname CLOB, diagnosistime TIME, icd9code CLOB)
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 intakeoutput (intakeoutputid NUMBER, patientunitstayid NUMBER, cellpath CLOB, celllabel CLOB, cellvaluenumeric NUMBER, intakeoutputtime TIME)
CREATE TABLE patient (uniquepid CLOB, patienthealthsystemstayid NUMBER, patientunitstayid NUMBER, gender CLOB, age CLOB, ethnicity CLOB, hospitalid NUMBER, wardid NUMBER, admissionheight NUMBER, admissionweight NUMBER, dischargeweight NUMBER, hospitaladmittime TIME, hospitaladmitsource CLOB, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus CLOB)
CREATE TABLE medication (medicationid NUMBER, patientunitstayid NUMBER, drugname CLOB, dosage CLOB, routeadmin CLOB, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE treatment (treatmentid NUMBER, patientunitstayid NUMBER, treatmentname CLOB, treatmenttime TIME)
CREATE TABLE lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime TIME)
| how many patients received the neurosurgery consultation after the antibacterials in the same month? | SELECT COUNT(DISTINCT t1.uniquepid) FROM (SELECT patient.uniquepid, treatment.treatmenttime FROM treatment JOIN patient ON treatment.patientunitstayid = patient.patientunitstayid WHERE treatment.treatmentname = 'antibacterials') AS t1 JOIN (SELECT patient.uniquepid, treatment.treatmenttime FROM treatment JOIN patient ON treatment.patientunitstayid = patient.patientunitstayid WHERE treatment.treatmentname = 'neurosurgery consultation') AS t2 WHERE t1.treatmenttime < t2.treatmenttime AND DATETIME(t1.treatmenttime, 'start of month') = DATETIME(t2.treatmenttime, 'start of month') | SELECT COUNT(DISTINCT "patient"."uniquepid") FROM "treatment" JOIN "patient" ON "patient"."patientunitstayid" = "treatment"."patientunitstayid" JOIN "treatment" "treatment_2" ON "treatment"."treatmenttime" < "treatment_2"."treatmenttime" AND "treatment_2"."treatmentname" = 'neurosurgery consultation' AND DATETIME("treatment"."treatmenttime", 'start of month') = DATETIME("treatment_2"."treatmenttime", 'start of month') JOIN "patient" "patient_2" ON "patient_2"."patientunitstayid" = "treatment_2"."patientunitstayid" WHERE "treatment"."treatmentname" = 'antibacterials' | 0.558594 |
CREATE TABLE PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId NUMBER)
CREATE TABLE Posts (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE FlagTypes (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 Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
CREATE TABLE PostTypes (Id NUMBER, Name CLOB)
CREATE TABLE ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
CREATE TABLE PostTags (PostId NUMBER, TagId NUMBER)
CREATE TABLE PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
CREATE TABLE PostHistoryTypes (Id NUMBER, Name CLOB)
CREATE TABLE CloseAsOffTopicReasonTypes (Id NUMBER, IsUniversal BOOLEAN, InputTitle CLOB, MarkdownInputGuidance CLOB, MarkdownPostOwnerGuidance CLOB, MarkdownPrivilegedUserGuidance CLOB, MarkdownConcensusDescription CLOB, CreationDate TIME, CreationModeratorId NUMBER, ApprovalDate TIME, ApprovalModeratorId NUMBER, DeactivationDate TIME, DeactivationModeratorId NUMBER)
CREATE TABLE 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 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 PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId NUMBER)
CREATE TABLE Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
CREATE TABLE ReviewTaskResultTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount 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 VoteTypes (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 CloseReasonTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE ReviewTaskTypes (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 ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId 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 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)
| How many words did I have to write per upvote?. | SELECT Id AS "post_link", LENGTH(Body) * 1.0 / Score AS "letters_per_upvote" FROM Posts WHERE OwnerUserId = '##user##' AND Score > 0 ORDER BY 2 | SELECT "Id" AS "post_link", LENGTH("Body") * 1.0 / NULLIF("Score", 0) AS "letters_per_upvote" FROM "Posts" WHERE "OwnerUserId" = '##user##' AND "Score" > 0 ORDER BY 2 | 0.162109 |
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 patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
CREATE TABLE procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
CREATE TABLE d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
CREATE TABLE transfers (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, eventtype CLOB, careunit CLOB, wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
CREATE TABLE prescriptions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, startdate TIME, enddate TIME, drug CLOB, dose_val_rx CLOB, dose_unit_rx CLOB, route CLOB)
CREATE TABLE diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE 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)
| last year, what are the five most frequently prescribed drugs? | SELECT t1.drug FROM (SELECT prescriptions.drug, DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS c1 FROM prescriptions WHERE DATETIME(prescriptions.startdate, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year') GROUP BY prescriptions.drug) AS t1 WHERE t1.c1 <= 5 | WITH "t1" AS (SELECT "prescriptions"."drug", DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS "c1" FROM "prescriptions" WHERE DATETIME("prescriptions"."startdate", 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year') GROUP BY "prescriptions"."drug") SELECT "t1"."drug" FROM "t1" "t1" WHERE "t1"."c1" <= 5 | 0.3125 |
CREATE TABLE table_70284 ("Year" CLOB, "Start" CLOB, "Qual" CLOB, "Rank" CLOB, "Finish" CLOB, "Laps" FLOAT)
| What is Chitwood's lowest completed number of laps with a qualifying time of 124.619? | SELECT MIN("Laps") FROM table_70284 WHERE "Qual" = '124.619' | SELECT MIN("Laps") FROM "table_70284" WHERE "Qual" = '124.619' | 0.060547 |
CREATE TABLE table_204_789 (id NUMBER, "plant name" CLOB, "location" CLOB, "country" CLOB, "startup date" NUMBER, "capacity ( mmtpa ) " CLOB, "corporation" CLOB)
| what is the only country that started up a plant in 2013 ? | SELECT "country" FROM table_204_789 WHERE "startup date" = 2013 | SELECT "country" FROM "table_204_789" WHERE "startup date" = 2013 | 0.063477 |
CREATE TABLE table_name_57 (rank__number VARCHAR2, attendance VARCHAR2)
| What was the rank# of the opponent when there was 93,829 in attendance? | SELECT rank__number FROM table_name_57 WHERE attendance = "93,829" | SELECT "rank__number" FROM "table_name_57" WHERE "93,829" = "attendance" | 0.070313 |
CREATE TABLE table_name_19 (tournament VARCHAR2, partner VARCHAR2)
| Which Tournament has a Partner of karel nov ek? | SELECT tournament FROM table_name_19 WHERE partner = "karel nováček" | SELECT "tournament" FROM "table_name_19" WHERE "karel nováček" = "partner" | 0.072266 |
CREATE TABLE table_name_10 (games NUMBER, points_difference VARCHAR2, points VARCHAR2)
| Points difference of 18 - 33, and a Points smaller than 4 is the total of what sum of games? | SELECT SUM(games) FROM table_name_10 WHERE points_difference = "18 - 33" AND points < 4 | SELECT SUM("games") FROM "table_name_10" WHERE "18 - 33" = "points_difference" AND "points" < 4 | 0.092773 |
CREATE TABLE table_78056 ("Year" FLOAT, "Manufacturer" CLOB, "Start" FLOAT, "Finish" FLOAT, "Team" CLOB)
| What is the smallest finish time for a race after 1972 with a car manufactured by pontiac? | SELECT MIN("Finish") FROM table_78056 WHERE "Year" > '1972' AND "Manufacturer" = 'pontiac' | SELECT MIN("Finish") FROM "table_78056" WHERE "Manufacturer" = 'pontiac' AND "Year" > '1972' | 0.089844 |
CREATE TABLE table_48483 ("Team 1" CLOB, "Score" CLOB, "Team 2" CLOB, "1st round" CLOB, "2nd round" CLOB)
| What is the 1st round with a 2nd round of 0 - 1, and team 1 sco angers (d1)? | SELECT "1st round" FROM table_48483 WHERE "2nd round" = '0 - 1' AND "Team 1" = 'sco angers (d1)' | SELECT "1st round" FROM "table_48483" WHERE "2nd round" = '0 - 1' AND "Team 1" = 'sco angers (d1)' | 0.095703 |
CREATE TABLE table_17758010_2 (original_air_date VARCHAR2, us_viewers__millions_ VARCHAR2)
| How many original air dates have U.S. Views (millions) of 19.49? | SELECT COUNT(original_air_date) FROM table_17758010_2 WHERE us_viewers__millions_ = "19.49" | SELECT COUNT("original_air_date") FROM "table_17758010_2" WHERE "19.49" = "us_viewers__millions_" | 0.094727 |
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)
| what is the number of patients whose lab test abnormal status is delta and lab test name is white blood cells? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE lab.flag = "delta" AND lab.label = "White Blood Cells" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "lab" ON "White Blood Cells" = "lab"."label" AND "delta" = "lab"."flag" AND "demographic"."hadm_id" = "lab"."hadm_id" | 0.186523 |
CREATE TABLE table_1815 ("No. in series" FLOAT, "No. in season" FLOAT, "Title" CLOB, "Directed by" CLOB, "Written by" CLOB, "Original air date" CLOB, "U.S. viewers ( millions ) " CLOB)
| What was the title of the episode that had 13.82 million U.S. viewers? | SELECT "Title" FROM table_1815 WHERE "U.S. viewers (millions)" = '13.82' | SELECT "Title" FROM "table_1815" WHERE "U.S. viewers (millions)" = '13.82' | 0.072266 |
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 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 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 inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
CREATE TABLE outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
CREATE TABLE chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
CREATE TABLE transfers (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, eventtype CLOB, careunit CLOB, wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
CREATE TABLE d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE 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 labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
| has there been any microbiological test on the influenza a/b by dfa - bronch lavage of patient 11732 since 38 months ago? | SELECT COUNT(*) > 0 FROM microbiologyevents WHERE microbiologyevents.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 11732) AND microbiologyevents.spec_type_desc = 'influenza a/b by dfa - bronch lavage' AND DATETIME(microbiologyevents.charttime) >= DATETIME(CURRENT_TIME(), '-38 month') | WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 11732 GROUP BY "hadm_id") SELECT COUNT(*) > 0 FROM "microbiologyevents" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "microbiologyevents"."hadm_id" WHERE "microbiologyevents"."spec_type_desc" = 'influenza a/b by dfa - bronch lavage' AND DATETIME("microbiologyevents"."charttime") >= DATETIME(CURRENT_TIME(), '-38 month') AND NOT "_u_0"."" IS NULL | 0.427734 |
CREATE TABLE table_name_68 (ap_increase__mv_ VARCHAR2, ap_duration__ms_ VARCHAR2)
| What AP increase has an AP duration of 0.75? | SELECT ap_increase__mv_ FROM table_name_68 WHERE ap_duration__ms_ = "0.75" | SELECT "ap_increase__mv_" FROM "table_name_68" WHERE "0.75" = "ap_duration__ms_" | 0.078125 |
CREATE TABLE table_1175233_1 (communes VARCHAR2, chief_town VARCHAR2)
| How many communes have the chief town as dijon? | SELECT COUNT(communes) FROM table_1175233_1 WHERE chief_town = "Dijon" | SELECT COUNT("communes") FROM "table_1175233_1" WHERE "Dijon" = "chief_town" | 0.074219 |
CREATE TABLE postseason (year NUMBER, round CLOB, team_id_winner CLOB, league_id_winner CLOB, team_id_loser CLOB, league_id_loser CLOB, wins NUMBER, losses NUMBER, ties NUMBER)
CREATE TABLE salary (year NUMBER, team_id CLOB, league_id CLOB, player_id CLOB, salary NUMBER)
CREATE TABLE manager_half (player_id CLOB, year NUMBER, team_id CLOB, league_id CLOB, inseason NUMBER, half NUMBER, g NUMBER, w NUMBER, l NUMBER, rank NUMBER)
CREATE TABLE batting_postseason (year NUMBER, round CLOB, player_id CLOB, team_id CLOB, league_id CLOB, g NUMBER, ab NUMBER, r NUMBER, h NUMBER, double NUMBER, triple NUMBER, hr NUMBER, rbi NUMBER, sb NUMBER, cs NUMBER, bb NUMBER, so NUMBER, ibb NUMBER, hbp NUMBER, sh NUMBER, sf NUMBER, g_idp NUMBER)
CREATE TABLE team_franchise (franchise_id CLOB, franchise_name CLOB, active CLOB, na_assoc CLOB)
CREATE TABLE hall_of_fame (player_id CLOB, yearid NUMBER, votedby CLOB, ballots NUMBER, needed NUMBER, votes NUMBER, inducted CLOB, category CLOB, needed_note CLOB)
CREATE TABLE player_award_vote (award_id CLOB, year NUMBER, league_id CLOB, player_id CLOB, points_won NUMBER, points_max NUMBER, votes_first NUMBER)
CREATE TABLE pitching_postseason (player_id CLOB, year NUMBER, round CLOB, team_id CLOB, league_id CLOB, w NUMBER, l NUMBER, g NUMBER, gs NUMBER, cg NUMBER, sho NUMBER, sv NUMBER, ipouts NUMBER, h NUMBER, er NUMBER, hr NUMBER, bb NUMBER, so NUMBER, baopp CLOB, era NUMBER, ibb NUMBER, wp NUMBER, hbp NUMBER, bk NUMBER, bfp NUMBER, gf NUMBER, r NUMBER, sh NUMBER, sf NUMBER, g_idp NUMBER)
CREATE TABLE manager_award_vote (award_id CLOB, year NUMBER, league_id CLOB, player_id CLOB, points_won NUMBER, points_max NUMBER, votes_first NUMBER)
CREATE TABLE team_half (year NUMBER, league_id CLOB, team_id CLOB, half NUMBER, div_id CLOB, div_win CLOB, rank NUMBER, g NUMBER, w NUMBER, l NUMBER)
CREATE TABLE pitching (player_id CLOB, year NUMBER, stint NUMBER, team_id CLOB, league_id CLOB, w NUMBER, l NUMBER, g NUMBER, gs NUMBER, cg NUMBER, sho NUMBER, sv NUMBER, ipouts NUMBER, h NUMBER, er NUMBER, hr NUMBER, bb NUMBER, so NUMBER, baopp NUMBER, era NUMBER, ibb NUMBER, wp NUMBER, hbp NUMBER, bk NUMBER, bfp NUMBER, gf NUMBER, r NUMBER, sh NUMBER, sf NUMBER, g_idp NUMBER)
CREATE TABLE fielding_postseason (player_id CLOB, year NUMBER, team_id CLOB, league_id CLOB, round CLOB, pos CLOB, g NUMBER, gs NUMBER, inn_outs NUMBER, po NUMBER, a NUMBER, e NUMBER, dp NUMBER, tp NUMBER, pb NUMBER, sb NUMBER, cs NUMBER)
CREATE TABLE manager_award (player_id CLOB, award_id CLOB, year NUMBER, league_id CLOB, tie CLOB, notes NUMBER)
CREATE TABLE player_award (player_id CLOB, award_id CLOB, year NUMBER, league_id CLOB, tie CLOB, notes CLOB)
CREATE TABLE manager (player_id CLOB, year NUMBER, team_id CLOB, league_id CLOB, inseason NUMBER, g NUMBER, w NUMBER, l NUMBER, rank NUMBER, plyr_mgr CLOB)
CREATE TABLE all_star (player_id CLOB, year NUMBER, game_num NUMBER, game_id CLOB, team_id CLOB, league_id CLOB, gp NUMBER, starting_pos NUMBER)
CREATE TABLE fielding (player_id CLOB, year NUMBER, stint NUMBER, team_id CLOB, league_id CLOB, pos CLOB, g NUMBER, gs NUMBER, inn_outs NUMBER, po NUMBER, a NUMBER, e NUMBER, dp NUMBER, pb NUMBER, wp NUMBER, sb NUMBER, cs NUMBER, zr NUMBER)
CREATE TABLE fielding_outfield (player_id CLOB, year NUMBER, stint NUMBER, glf NUMBER, gcf NUMBER, grf NUMBER)
CREATE TABLE team (year NUMBER, league_id CLOB, team_id CLOB, franchise_id CLOB, div_id CLOB, rank NUMBER, g NUMBER, ghome NUMBER, w NUMBER, l NUMBER, div_win CLOB, wc_win CLOB, lg_win CLOB, ws_win CLOB, r NUMBER, ab NUMBER, h NUMBER, double NUMBER, triple NUMBER, hr NUMBER, bb NUMBER, so NUMBER, sb NUMBER, cs NUMBER, hbp NUMBER, sf NUMBER, ra NUMBER, er NUMBER, era NUMBER, cg NUMBER, sho NUMBER, sv NUMBER, ipouts NUMBER, ha NUMBER, hra NUMBER, bba NUMBER, soa NUMBER, e NUMBER, dp NUMBER, fp NUMBER, name CLOB, park CLOB, attendance NUMBER, bpf NUMBER, ppf NUMBER, team_id_br CLOB, team_id_lahman45 CLOB, team_id_retro CLOB)
CREATE TABLE player_college (player_id CLOB, college_id CLOB, year NUMBER)
CREATE TABLE college (college_id CLOB, name_full CLOB, city CLOB, state CLOB, country CLOB)
CREATE TABLE batting (player_id CLOB, year NUMBER, stint NUMBER, team_id CLOB, league_id CLOB, g NUMBER, ab NUMBER, r NUMBER, h NUMBER, double NUMBER, triple NUMBER, hr NUMBER, rbi NUMBER, sb NUMBER, cs NUMBER, bb NUMBER, so NUMBER, ibb NUMBER, hbp NUMBER, sh NUMBER, sf NUMBER, g_idp NUMBER)
CREATE TABLE park (park_id CLOB, park_name CLOB, park_alias CLOB, city CLOB, state CLOB, country CLOB)
CREATE TABLE home_game (year NUMBER, league_id CLOB, team_id CLOB, park_id CLOB, span_first CLOB, span_last CLOB, games NUMBER, openings NUMBER, attendance NUMBER)
CREATE TABLE player (player_id CLOB, birth_year NUMBER, birth_month NUMBER, birth_day NUMBER, birth_country CLOB, birth_state CLOB, birth_city CLOB, death_year NUMBER, death_month NUMBER, death_day NUMBER, death_country CLOB, death_state CLOB, death_city CLOB, name_first CLOB, name_last CLOB, name_given CLOB, weight NUMBER, height NUMBER, bats CLOB, throws CLOB, debut CLOB, final_game CLOB, retro_id CLOB, bbref_id CLOB)
CREATE TABLE appearances (year NUMBER, team_id CLOB, league_id CLOB, player_id CLOB, g_all NUMBER, gs NUMBER, g_batting NUMBER, g_defense NUMBER, g_p NUMBER, g_c NUMBER, g_1b NUMBER, g_2b NUMBER, g_3b NUMBER, g_ss NUMBER, g_lf NUMBER, g_cf NUMBER, g_rf NUMBER, g_of NUMBER, g_dh NUMBER, g_ph NUMBER, g_pr NUMBER)
| Bar graph to show how many yearid from different yearid, list in descending by the Y-axis. | SELECT yearid, COUNT(yearid) FROM hall_of_fame ORDER BY COUNT(yearid) DESC | SELECT "yearid", COUNT("yearid") FROM "hall_of_fame" ORDER BY COUNT("yearid") DESC | 0.080078 |
CREATE TABLE table_name_67 (inflation_index__2000 NUMBER, per_capita_income__as__percentage_of_usa_ VARCHAR2, year VARCHAR2)
| Which Inflation Index (2000=100) has a Per Capita Income (as % of USA) of 10.65, and a Year smaller than 1990? | SELECT MAX(inflation_index__2000) = 100 AS _ FROM table_name_67 WHERE per_capita_income__as__percentage_of_usa_ = 10.65 AND year < 1990 | SELECT MAX("inflation_index__2000") = 100 AS "_" FROM "table_name_67" WHERE "per_capita_income__as__percentage_of_usa_" = 10.65 AND "year" < 1990 | 0.141602 |
CREATE TABLE table_name_4 (promotion VARCHAR2, venue VARCHAR2, event VARCHAR2)
| What is the promotion when the arena was the venue and the event of legends of the arena? | SELECT promotion FROM table_name_4 WHERE venue = "the arena" AND event = "legends of the arena" | SELECT "promotion" FROM "table_name_4" WHERE "event" = "legends of the arena" AND "the arena" = "venue" | 0.100586 |
CREATE TABLE table_27564 ("Facility" CLOB, "Location" CLOB, "Year Opened" CLOB, "Major Facility" CLOB, "Population Gender" CLOB, "Capacity" FLOAT, "Custody Level ( s ) " CLOB)
| Is the facility opened in 1968 a major facility? | SELECT "Major Facility" FROM table_27564 WHERE "Year Opened" = '1968' | SELECT "Major Facility" FROM "table_27564" WHERE "Year Opened" = '1968' | 0.069336 |
CREATE TABLE table_name_49 (agg VARCHAR2, opponent VARCHAR2)
| What was the aggregate total for the match against Koper? | SELECT agg FROM table_name_49 WHERE opponent = "koper" | SELECT "agg" FROM "table_name_49" WHERE "koper" = "opponent" | 0.058594 |
CREATE TABLE table_name_92 (home_team VARCHAR2, venue VARCHAR2)
| What did the home team score at Windy Hill? | SELECT home_team AS score FROM table_name_92 WHERE venue = "windy hill" | SELECT "home_team" AS "score" FROM "table_name_92" WHERE "venue" = "windy hill" | 0.077148 |
CREATE TABLE table_203_630 (id NUMBER, "rank" NUMBER, "nation" CLOB, "gold" NUMBER, "silver" NUMBER, "bronze" NUMBER, "total" NUMBER)
| how many total medals did norway win ? | SELECT "total" FROM table_203_630 WHERE "nation" = 'norway' | SELECT "total" FROM "table_203_630" WHERE "nation" = 'norway' | 0.05957 |
CREATE TABLE player (player_id NUMBER, name CLOB, position CLOB, club_id NUMBER, apps NUMBER, tries NUMBER, goals CLOB, points NUMBER)
CREATE TABLE competition (competition_id NUMBER, year NUMBER, competition_type CLOB, country CLOB)
CREATE TABLE club_rank (rank NUMBER, club_id NUMBER, gold NUMBER, silver NUMBER, bronze NUMBER, total NUMBER)
CREATE TABLE competition_result (competition_id NUMBER, club_id_1 NUMBER, club_id_2 NUMBER, score CLOB)
CREATE TABLE club (club_id NUMBER, name CLOB, region CLOB, start_year CLOB)
| List the position of players and the average number of points of players of each position. | SELECT position, AVG(points) FROM player GROUP BY position | SELECT "position", AVG("points") FROM "player" GROUP BY "position" | 0.064453 |
CREATE TABLE table_56019 ("Name" CLOB, "Bodyweight" FLOAT, "Snatch" FLOAT, "Clean & jerk" FLOAT, "Total ( kg ) " FLOAT)
| What is the highest Bodyweight associated with a Clean & jerk larger than 120, and a Total (kg) of 245? | SELECT MAX("Bodyweight") FROM table_56019 WHERE "Clean & jerk" > '120' AND "Total (kg)" = '245' | SELECT MAX("Bodyweight") FROM "table_56019" WHERE "Clean & jerk" > '120' AND "Total (kg)" = '245' | 0.094727 |
CREATE TABLE table_61276 ("Place" CLOB, "Player" CLOB, "Country" CLOB, "Score" CLOB, "To par" CLOB)
| What is the name of the player with an overall score of 70-69-69=208? | SELECT "Player" FROM table_61276 WHERE "Score" = '70-69-69=208' | SELECT "Player" FROM "table_61276" WHERE "Score" = '70-69-69=208' | 0.063477 |
CREATE TABLE table_25166 ("Rank" FLOAT, "1980-81" CLOB, "1981-82" CLOB, "1982-83" CLOB, "1983-84" CLOB, "1984-85" CLOB)
| What is every entry for 1980-81 when 1983-84 is Caryn McKinney? | SELECT "1980-81" FROM table_25166 WHERE "1983-84" = 'Caryn McKinney' | SELECT "1980-81" FROM "table_25166" WHERE "1983-84" = 'Caryn McKinney' | 0.068359 |
CREATE TABLE student_record (student_id NUMBER, course_id NUMBER, semester NUMBER, grade VARCHAR2, how VARCHAR2, transfer_source VARCHAR2, earn_credit VARCHAR2, repeat_term VARCHAR2, test_id VARCHAR2)
CREATE TABLE offering_instructor (offering_instructor_id NUMBER, offering_id NUMBER, instructor_id NUMBER)
CREATE TABLE 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 instructor (instructor_id NUMBER, name VARCHAR2, uniqname VARCHAR2)
CREATE TABLE course_tags_count (course_id NUMBER, clear_grading NUMBER, pop_quiz NUMBER, group_projects NUMBER, inspirational NUMBER, long_lectures NUMBER, extra_credit NUMBER, few_tests NUMBER, good_feedback NUMBER, tough_tests NUMBER, heavy_papers NUMBER, cares_for_students NUMBER, heavy_assignments NUMBER, respected NUMBER, participation NUMBER, heavy_reading NUMBER, tough_grader NUMBER, hilarious NUMBER, would_take_again NUMBER, good_lecture NUMBER, no_skip NUMBER)
CREATE TABLE 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 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 gsi (course_offering_id NUMBER, student_id NUMBER)
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)
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 jobs (job_id NUMBER, job_title VARCHAR2, description VARCHAR2, requirement VARCHAR2, city VARCHAR2, state VARCHAR2, country VARCHAR2, zip NUMBER)
CREATE TABLE course_prerequisite (pre_course_id NUMBER, course_id NUMBER)
CREATE TABLE course_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)
| Do you know who is teaching PreMajor classes next Winter ? | SELECT DISTINCT instructor.name FROM course INNER JOIN course_offering ON course.course_id = course_offering.course_id INNER JOIN semester ON semester.semester_id = course_offering.semester INNER JOIN program_course ON program_course.course_id = course_offering.course_id INNER JOIN offering_instructor ON offering_instructor.offering_id = course_offering.offering_id INNER JOIN instructor ON offering_instructor.instructor_id = instructor.instructor_id WHERE program_course.category LIKE '%PreMajor%' AND semester.semester = 'Winter' AND semester.year = 2017 | SELECT DISTINCT "instructor"."name" FROM "course" JOIN "course_offering" ON "course"."course_id" = "course_offering"."course_id" JOIN "offering_instructor" ON "course_offering"."offering_id" = "offering_instructor"."offering_id" JOIN "program_course" ON "course_offering"."course_id" = "program_course"."course_id" AND "program_course"."category" LIKE '%PreMajor%' JOIN "semester" ON "course_offering"."semester" = "semester"."semester_id" AND "semester"."semester" = 'Winter' AND "semester"."year" = 2017 JOIN "instructor" ON "instructor"."instructor_id" = "offering_instructor"."instructor_id" | 0.581055 |
CREATE TABLE table_22050544_1 (prize VARCHAR2, elapsed_time VARCHAR2)
| What is the prize for the elapsed time of 10 h 10 min? | SELECT prize FROM table_22050544_1 WHERE elapsed_time = "10 h 10 min" | SELECT "prize" FROM "table_22050544_1" WHERE "10 h 10 min" = "elapsed_time" | 0.073242 |
CREATE TABLE table_13759592_1 (enrollment VARCHAR2, high_school VARCHAR2)
| How many enrollment figures are provided for Roosevelt High School? | SELECT COUNT(enrollment) FROM table_13759592_1 WHERE high_school = "Roosevelt" | SELECT COUNT("enrollment") FROM "table_13759592_1" WHERE "Roosevelt" = "high_school" | 0.082031 |
CREATE TABLE table_train_41 ("id" NUMBER, "pulmonary_embolization" BOOLEAN, "hiv_infection" BOOLEAN, "neutrophil_count" NUMBER, "renal_disease" BOOLEAN, "liver_disease" BOOLEAN, "serum_creatinine" FLOAT, "myocardial_infarction" BOOLEAN, "NOUSE" FLOAT)
| subjects with severe renal impairment ( creatinine clearance less than 30 ml / min ) | SELECT * FROM table_train_41 WHERE renal_disease = 1 OR serum_creatinine < 30 | SELECT * FROM "table_train_41" WHERE "renal_disease" = 1 OR "serum_creatinine" < 30 | 0.081055 |
CREATE TABLE table_13642023_2 (gto_winning_team VARCHAR2, to_winning_team VARCHAR2)
| Who was the GTO winning team when the TO winning team was #84 Camaro? | SELECT gto_winning_team FROM table_13642023_2 WHERE to_winning_team = "#84 Camaro" | SELECT "gto_winning_team" FROM "table_13642023_2" WHERE "#84 Camaro" = "to_winning_team" | 0.085938 |
CREATE TABLE Manufacturers (Code NUMBER, Name VARCHAR2, Headquarter VARCHAR2, Founder VARCHAR2, Revenue FLOAT)
CREATE TABLE Products (Code NUMBER, Name VARCHAR2, Price NUMBER, Manufacturer NUMBER)
| Display a bar chart for how many products are there for each manufacturer? | SELECT T2.Name, COUNT(*) FROM Products AS T1 JOIN Manufacturers AS T2 ON T1.Manufacturer = T2.Code GROUP BY T2.Name | SELECT "T2"."Name", COUNT(*) FROM "Products" "T1" JOIN "Manufacturers" "T2" ON "T1"."Manufacturer" = "T2"."Code" GROUP BY "T2"."Name" | 0.129883 |
CREATE TABLE PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
CREATE TABLE ReviewTaskResultTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE ReviewTaskTypes (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 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 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 PostHistory (Id NUMBER, PostHistoryTypeId NUMBER, PostId NUMBER, RevisionGUID other, CreationDate TIME, UserId NUMBER, UserDisplayName CLOB, Comment CLOB, Text CLOB, ContentLicense CLOB)
CREATE TABLE PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
CREATE TABLE ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment CLOB)
CREATE TABLE PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId NUMBER)
CREATE TABLE Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount NUMBER)
CREATE TABLE CloseReasonTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostTags (PostId NUMBER, TagId 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 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 Comments (Id NUMBER, PostId NUMBER, Score NUMBER, Text CLOB, CreationDate TIME, UserDisplayName CLOB, UserId NUMBER, ContentLicense CLOB)
CREATE TABLE ReviewTaskStates (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId NUMBER)
CREATE TABLE PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId NUMBER)
CREATE TABLE VoteTypes (Id NUMBER, Name CLOB)
CREATE TABLE FlagTypes (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 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 PostHistoryTypes (Id NUMBER, Name CLOB)
CREATE TABLE PostTypes (Id NUMBER, Name CLOB)
CREATE TABLE CloseAsOffTopicReasonTypes (Id NUMBER, IsUniversal BOOLEAN, InputTitle CLOB, MarkdownInputGuidance CLOB, MarkdownPostOwnerGuidance CLOB, MarkdownPrivilegedUserGuidance CLOB, MarkdownConcensusDescription CLOB, CreationDate TIME, CreationModeratorId NUMBER, ApprovalDate TIME, ApprovalModeratorId NUMBER, DeactivationDate TIME, DeactivationModeratorId NUMBER)
CREATE TABLE ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
| Users by tags in DK. | SELECT u.Id AS "user_link", t.TagName, u.Reputation AS rep, u.DisplayName AS UserName FROM Posts AS p INNER JOIN PostTags AS pt ON pt.PostId = p.Id INNER JOIN Tags AS t ON t.Id = pt.TagId INNER JOIN Users AS u ON u.Id = p.OwnerUserId WHERE (u.Location = 'Copenhagen' OR u.Location = 'Denmark') AND (t.TagName = 'python' OR t.TagName = 'docker' OR t.TagName = 'amazon-web-services') AND u.Reputation >= '400' GROUP BY u.Id, u.Reputation, u.DisplayName, t.TagName | SELECT "u"."Id" AS "user_link", "t"."TagName", "u"."Reputation" AS "rep", "u"."DisplayName" AS "UserName" FROM "Posts" "p" JOIN "PostTags" "pt" ON "p"."Id" = "pt"."PostId" JOIN "Users" "u" ON "p"."OwnerUserId" = "u"."Id" AND ("u"."Location" = 'Copenhagen' OR "u"."Location" = 'Denmark') AND "u"."Reputation" >= '400' JOIN "Tags" "t" ON "pt"."TagId" = "t"."Id" AND ("t"."TagName" = 'amazon-web-services' OR "t"."TagName" = 'docker' OR "t"."TagName" = 'python') GROUP BY "u"."Id", "u"."Reputation", "u"."DisplayName", "t"."TagName" | 0.516602 |
CREATE TABLE table_name_36 (clay VARCHAR2, record VARCHAR2, hard VARCHAR2)
| Which clay has a Record of 2 0, and a Hard 1 0? | SELECT clay FROM table_name_36 WHERE record = "2–0" AND hard = "1–0" | SELECT "clay" FROM "table_name_36" WHERE "1–0" = "hard" AND "2–0" = "record" | 0.074219 |
CREATE TABLE station (id NUMBER, name CLOB, lat NUMBER, long NUMBER, dock_count NUMBER, city CLOB, installation_date CLOB)
CREATE TABLE status (station_id NUMBER, bikes_available NUMBER, docks_available NUMBER, time CLOB)
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 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)
| For the top 3 days with the largest max gust speeds, please bin the date into day of the week and then sum the mean humidity to visualize a bar chart. | SELECT date, SUM(mean_humidity) FROM weather ORDER BY max_gust_speed_mph DESC LIMIT 3 | SELECT "date", SUM("mean_humidity") FROM "weather" ORDER BY "max_gust_speed_mph" DESC FETCH FIRST 3 ROWS ONLY | 0.106445 |
CREATE TABLE d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
CREATE TABLE procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE icustays (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, first_careunit CLOB, last_careunit CLOB, first_wardid NUMBER, last_wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
CREATE TABLE admissions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, admittime TIME, dischtime TIME, admission_type CLOB, admission_location CLOB, discharge_location CLOB, insurance CLOB, language CLOB, marital_status CLOB, ethnicity CLOB, age NUMBER)
CREATE TABLE d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
CREATE TABLE prescriptions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, startdate TIME, enddate TIME, drug CLOB, dose_val_rx CLOB, dose_unit_rx CLOB, route CLOB)
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
CREATE TABLE transfers (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, eventtype CLOB, careunit CLOB, wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
CREATE TABLE labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
| how many times potassium chl 20 meq / 1000 ml d5lr has been ordered until 2104? | SELECT COUNT(*) FROM prescriptions WHERE prescriptions.drug = 'potassium chl 20 meq / 1000 ml d5lr' AND STRFTIME('%y', prescriptions.startdate) <= '2104' | SELECT COUNT(*) FROM "prescriptions" WHERE "prescriptions"."drug" = 'potassium chl 20 meq / 1000 ml d5lr' AND STRFTIME('%y', "prescriptions"."startdate") <= '2104' | 0.15918 |
CREATE TABLE table_74063 ("Team" CLOB, "Outgoing manager" CLOB, "Manner of departure" CLOB, "Date of vacancy" CLOB, "Replaced by" CLOB, "Date of appointment" CLOB)
| Which team replaced their manager with Serhat G ller? | SELECT "Team" FROM table_74063 WHERE "Replaced by" = 'Serhat Güller' | SELECT "Team" FROM "table_74063" WHERE "Replaced by" = 'Serhat Güller' | 0.068359 |
CREATE TABLE ReviewTaskStates (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 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 ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment CLOB)
CREATE TABLE ReviewTaskResultTypes (Id NUMBER, Name CLOB, Description CLOB)
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 Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
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 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 PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId 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 PostHistoryTypes (Id NUMBER, Name CLOB)
CREATE TABLE ReviewTaskTypes (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 PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId 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 SuggestedEditVotes (Id NUMBER, SuggestedEditId NUMBER, UserId NUMBER, VoteTypeId NUMBER, CreationDate TIME, TargetUserId NUMBER, TargetRepChange NUMBER)
CREATE TABLE PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
CREATE TABLE Posts (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE CloseReasonTypes (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 VoteTypes (Id NUMBER, Name CLOB)
CREATE TABLE Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId 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 FlagTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostTypes (Id NUMBER, Name CLOB)
CREATE TABLE PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
| Find answers with more score than the accepted answer (order by diff). | SELECT answer.Id AS "post_link", answer.Score AS "Score", acceptedAnswer.Score AS "Score Accepted" FROM Posts AS answer JOIN Posts AS question ON question.Id = answer.ParentId JOIN Posts AS acceptedAnswer ON acceptedAnswer.Id = question.AcceptedAnswerId WHERE NOT question.AcceptedAnswerId IS NULL AND answer.PostTypeId = 2 AND answer.OwnerUserId = '##UserId:int##' AND answer.Id != acceptedAnswer.Id AND answer.Score > acceptedAnswer.Score ORDER BY answer.Score - acceptedAnswer.Score DESC | SELECT "answer"."Id" AS "post_link", "answer"."Score" AS "Score", "acceptedAnswer"."Score" AS "Score Accepted" FROM "Posts" "answer" JOIN "Posts" "question" ON "answer"."ParentId" = "question"."Id" AND NOT "question"."AcceptedAnswerId" IS NULL JOIN "Posts" "acceptedAnswer" ON "acceptedAnswer"."Id" <> "answer"."Id" AND "acceptedAnswer"."Id" = "question"."AcceptedAnswerId" AND "acceptedAnswer"."Score" < "answer"."Score" WHERE "answer"."OwnerUserId" = '##UserId:int##' AND "answer"."PostTypeId" = 2 ORDER BY "answer"."Score" - "acceptedAnswer"."Score" DESC | 0.543945 |
CREATE TABLE table_14655985_1 (player VARCHAR2, college VARCHAR2)
| what's the player with college being penn state | SELECT player FROM table_14655985_1 WHERE college = "Penn State" | SELECT "player" FROM "table_14655985_1" WHERE "Penn State" = "college" | 0.068359 |
CREATE TABLE table_name_51 (gold NUMBER, nation VARCHAR2, total VARCHAR2)
| Japan (JPN) with a total of less than 5, has what average gold medals? | SELECT AVG(gold) FROM table_name_51 WHERE nation = "japan (jpn)" AND total < 5 | SELECT AVG("gold") FROM "table_name_51" WHERE "japan (jpn)" = "nation" AND "total" < 5 | 0.083984 |
CREATE TABLE table_name_70 (date VARCHAR2, visiting_team VARCHAR2, final_score VARCHAR2)
| What is the date the new york giants were the visiting team and the Final Score was 37-34? | SELECT date FROM table_name_70 WHERE visiting_team = "new york giants" AND final_score = "37-34" | SELECT "date" FROM "table_name_70" WHERE "37-34" = "final_score" AND "new york giants" = "visiting_team" | 0.101563 |
CREATE TABLE table_name_49 (location VARCHAR2, score VARCHAR2)
| where has a Score of match reports? | SELECT location FROM table_name_49 WHERE score = "match reports" | SELECT "location" FROM "table_name_49" WHERE "match reports" = "score" | 0.068359 |
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