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CREATE TABLE table_69533 ("School" CLOB, "Location" CLOB, "Mascot" CLOB, "# / County" CLOB, "Year Joined" FLOAT, "Year Left" FLOAT, "Conference Joined" CLOB)
| What is the Mascot of Brook? | SELECT "Mascot" FROM table_69533 WHERE "Location" = 'brook' | SELECT "Mascot" FROM "table_69533" WHERE "Location" = 'brook' | 0.05957 |
CREATE TABLE table_37863 ("Local Government Area" CLOB, "Principal town" CLOB, "Land Area ( km\\u00b2 ) " FLOAT, "Population 2011 census" FLOAT, "Density" FLOAT)
| What is the lowest density of a town with a 13,708 2011 population census ? | SELECT MIN("Density") FROM table_37863 WHERE "Population 2011 census" = '13,708' | SELECT MIN("Density") FROM "table_37863" WHERE "Population 2011 census" = '13,708' | 0.080078 |
CREATE TABLE table_name_27 (pick__number NUMBER, name VARCHAR2)
| What is the sum of the Pick # Anthony Maddox? | SELECT SUM(pick__number) FROM table_name_27 WHERE name = "anthony maddox" | SELECT SUM("pick__number") FROM "table_name_27" WHERE "anthony maddox" = "name" | 0.077148 |
CREATE TABLE table_name_44 (record VARCHAR2, decision VARCHAR2, date VARCHAR2)
| What is the record for November 26, with the decision made by Prusek? | SELECT record FROM table_name_44 WHERE decision = "prusek" AND date = "november 26" | SELECT "record" FROM "table_name_44" WHERE "date" = "november 26" AND "decision" = "prusek" | 0.088867 |
CREATE TABLE table_29385 ("Player" CLOB, "Team" CLOB, "Matches" FLOAT, "Overs" CLOB, "Wickets" FLOAT, "Average" CLOB, "Economy" CLOB, "BBI" CLOB, "4wi" FLOAT, "5wi" FLOAT)
| Who is the player when the bbi is 5/27? | SELECT "Player" FROM table_29385 WHERE "BBI" = '5/27' | SELECT "Player" FROM "table_29385" WHERE "BBI" = '5/27' | 0.053711 |
CREATE TABLE table_name_75 (year VARCHAR2, country VARCHAR2, individual VARCHAR2)
| How many years was the individual winner from the United States was Tiger Woods? | SELECT COUNT(year) FROM table_name_75 WHERE country = "united states" AND individual = "tiger woods" | SELECT COUNT("year") FROM "table_name_75" WHERE "country" = "united states" AND "individual" = "tiger woods" | 0.105469 |
CREATE TABLE table_58251 ("Date" CLOB, "Opponent" CLOB, "Score" CLOB, "Loss" CLOB, "Attendance" CLOB, "Record" CLOB)
| Which Date has an Attendance of 9,535? | SELECT "Date" FROM table_58251 WHERE "Attendance" = '9,535' | SELECT "Date" FROM "table_58251" WHERE "Attendance" = '9,535' | 0.05957 |
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
| How many patients' procedure long title is thoracentesis and lab test category is hematology? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE procedures.long_title = "Thoracentesis" AND lab."CATEGORY" = "Hematology" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "lab" ON "Hematology" = "lab"."CATEGORY" AND "demographic"."hadm_id" = "lab"."hadm_id" JOIN "procedures" ON "Thoracentesis" = "procedures"."long_title" AND "demographic"."hadm_id" = "procedures"."hadm_id" | 0.271484 |
CREATE TABLE table_40884 ("City" CLOB, "Country" CLOB, "IATA" CLOB, "ICAO" CLOB, "Airport" CLOB)
| What airport is in Sabha? | SELECT "Airport" FROM table_40884 WHERE "City" = 'sabha' | SELECT "Airport" FROM "table_40884" WHERE "City" = 'sabha' | 0.056641 |
CREATE TABLE table_11518 ("Date" CLOB, "Visitor" CLOB, "Score" CLOB, "Home" CLOB, "Leading scorer" CLOB, "Attendance" FLOAT, "Record" CLOB)
| Who was the visiting team when the home team was Seattle? | SELECT "Visitor" FROM table_11518 WHERE "Home" = 'seattle' | SELECT "Visitor" FROM "table_11518" WHERE "Home" = 'seattle' | 0.058594 |
CREATE TABLE table_12078626_1 (success VARCHAR2, date_of_completion VARCHAR2)
| what's the success where date of completion is september 28, 2007 | SELECT success FROM table_12078626_1 WHERE date_of_completion = "September 28, 2007" | SELECT "success" FROM "table_12078626_1" WHERE "September 28, 2007" = "date_of_completion" | 0.087891 |
CREATE TABLE time_zone (time_zone_code CLOB, time_zone_name CLOB, hours_from_gmt NUMBER)
CREATE TABLE airline (airline_code VARCHAR2, airline_name CLOB, note CLOB)
CREATE TABLE flight_leg (flight_id NUMBER, leg_number NUMBER, leg_flight 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 month (month_number NUMBER, month_name CLOB)
CREATE TABLE flight (aircraft_code_sequence CLOB, airline_code VARCHAR2, airline_flight CLOB, arrival_time NUMBER, connections NUMBER, departure_time NUMBER, dual_carrier CLOB, flight_days CLOB, flight_id NUMBER, flight_number NUMBER, from_airport VARCHAR2, meal_code CLOB, stops NUMBER, time_elapsed NUMBER, to_airport VARCHAR2)
CREATE TABLE fare_basis (fare_basis_code CLOB, booking_class CLOB, class_type CLOB, premium CLOB, economy CLOB, discounted CLOB, night CLOB, season CLOB, basis_days CLOB)
CREATE TABLE time_interval (period CLOB, begin_time NUMBER, end_time NUMBER)
CREATE TABLE aircraft (aircraft_code VARCHAR2, aircraft_description VARCHAR2, manufacturer VARCHAR2, basic_type VARCHAR2, engines NUMBER, propulsion VARCHAR2, wide_body VARCHAR2, wing_span NUMBER, length NUMBER, weight NUMBER, capacity NUMBER, pay_load NUMBER, cruising_speed NUMBER, range_miles NUMBER, pressurized VARCHAR2)
CREATE TABLE code_description (code VARCHAR2, 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 dual_carrier (main_airline VARCHAR2, low_flight_number NUMBER, high_flight_number NUMBER, dual_airline VARCHAR2, service_name CLOB)
CREATE TABLE airport_service (city_code VARCHAR2, airport_code VARCHAR2, miles_distant NUMBER, direction VARCHAR2, minutes_distant NUMBER)
CREATE TABLE 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 compartment_class (compartment VARCHAR2, class_type VARCHAR2)
CREATE TABLE city (city_code VARCHAR2, city_name VARCHAR2, state_code VARCHAR2, country_name VARCHAR2, time_zone_code VARCHAR2)
CREATE TABLE ground_service (city_code CLOB, airport_code CLOB, transport_type CLOB, ground_fare NUMBER)
CREATE TABLE date_day (month_number NUMBER, day_number NUMBER, year NUMBER, day_name VARCHAR2)
CREATE TABLE equipment_sequence (aircraft_code_sequence VARCHAR2, aircraft_code VARCHAR2)
CREATE TABLE class_of_service (booking_class VARCHAR2, rank NUMBER, class_description CLOB)
CREATE TABLE days (days_code VARCHAR2, day_name VARCHAR2)
CREATE TABLE food_service (meal_code CLOB, meal_number NUMBER, compartment CLOB, meal_description VARCHAR2)
CREATE TABLE state (state_code CLOB, state_name CLOB, country_name CLOB)
CREATE TABLE flight_fare (flight_id NUMBER, fare_id NUMBER)
CREATE TABLE fare (fare_id NUMBER, from_airport VARCHAR2, to_airport VARCHAR2, fare_basis_code CLOB, fare_airline CLOB, restriction_code CLOB, one_direction_cost NUMBER, round_trip_cost NUMBER, round_trip_required VARCHAR2)
| is there ground transportation from the BOS airport to downtown BOSTON | SELECT DISTINCT ground_service.transport_type FROM airport, airport_service, city AS CITY_0, city AS CITY_1, ground_service WHERE airport.airport_code = airport_service.airport_code AND CITY_0.city_name = 'BOSTON' AND CITY_1.city_code = airport_service.city_code AND CITY_1.city_name = 'BOSTON' AND ground_service.airport_code = airport.airport_code AND ground_service.city_code = CITY_0.city_code | SELECT DISTINCT "ground_service"."transport_type" FROM "airport" JOIN "airport_service" ON "airport"."airport_code" = "airport_service"."airport_code" JOIN "ground_service" ON "airport"."airport_code" = "ground_service"."airport_code" JOIN "city" "CITY_0" ON "CITY_0"."city_code" = "ground_service"."city_code" AND "CITY_0"."city_name" = 'BOSTON' JOIN "city" "CITY_1" ON "CITY_1"."city_code" = "airport_service"."city_code" AND "CITY_1"."city_name" = 'BOSTON' | 0.448242 |
CREATE TABLE table_1140078_2 (report VARCHAR2, race VARCHAR2)
| What is the number of reports for the italian grand prix? | SELECT COUNT(report) FROM table_1140078_2 WHERE race = "Italian Grand Prix" | SELECT COUNT("report") FROM "table_1140078_2" WHERE "Italian Grand Prix" = "race" | 0.079102 |
CREATE TABLE table_18207285_2 (opponents NUMBER, result VARCHAR2, game VARCHAR2)
| How many opponents played 1 game with a result win? | SELECT MAX(opponents) FROM table_18207285_2 WHERE result = "Win" AND game = 1 | SELECT MAX("opponents") FROM "table_18207285_2" WHERE "Win" = "result" AND "game" = 1 | 0.083008 |
CREATE TABLE PostTags (PostId NUMBER, TagId 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 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 SuggestedEdits (Id NUMBER, PostId NUMBER, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId NUMBER, Comment CLOB, Text CLOB, Title CLOB, Tags CLOB, RevisionGUID other)
CREATE TABLE Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
CREATE TABLE CloseReasonTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
CREATE TABLE Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount NUMBER)
CREATE TABLE ReviewTaskStates (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Users (Id NUMBER, Reputation NUMBER, CreationDate TIME, DisplayName CLOB, LastAccessDate TIME, WebsiteUrl CLOB, Location CLOB, AboutMe CLOB, Views NUMBER, UpVotes NUMBER, DownVotes NUMBER, ProfileImageUrl CLOB, EmailHash CLOB, AccountId NUMBER)
CREATE TABLE PostTypes (Id NUMBER, Name CLOB)
CREATE TABLE PostHistory (Id NUMBER, PostHistoryTypeId NUMBER, PostId NUMBER, RevisionGUID other, CreationDate TIME, UserId NUMBER, UserDisplayName CLOB, Comment CLOB, Text CLOB, ContentLicense CLOB)
CREATE TABLE ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment CLOB)
CREATE TABLE PendingFlags (Id NUMBER, FlagTypeId NUMBER, PostId NUMBER, CreationDate TIME, CloseReasonTypeId NUMBER, CloseAsOffTopicReasonTypeId NUMBER, DuplicateOfQuestionId NUMBER, BelongsOnBaseHostAddress CLOB)
CREATE TABLE FlagTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Comments (Id NUMBER, PostId NUMBER, Score NUMBER, Text CLOB, CreationDate TIME, UserDisplayName CLOB, UserId NUMBER, ContentLicense CLOB)
CREATE TABLE ReviewTaskResultTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
CREATE TABLE ReviewTaskTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
CREATE TABLE PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId NUMBER)
CREATE TABLE 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 ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId 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 PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
CREATE TABLE PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId NUMBER)
CREATE TABLE VoteTypes (Id NUMBER, Name CLOB)
| Percentile of users with location. | SELECT (SELECT COUNT(Id) FROM Users WHERE NOT Location IS NULL) * 100.0 / (SELECT COUNT(Id) FROM Users) | SELECT (SELECT COUNT("Id") FROM "Users" WHERE NOT "Location" IS NULL) * 100.0 / NULLIF((SELECT COUNT("Id") FROM "Users"), 0) | 0.121094 |
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
| count the number of patients who are male and their diagnoses icd9 code is 28521. | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.gender = "M" AND diagnoses.icd9_code = "28521" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "28521" = "diagnoses"."icd9_code" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" WHERE "M" = "demographic"."gender" | 0.204102 |
CREATE TABLE table_24861 ("No. in series" FLOAT, "Title" CLOB, "Directed by" CLOB, "Written by" CLOB, "Original air date" CLOB, "Production code" CLOB)
| What is the original air date for the production code of 1.12? | SELECT "Original air date" FROM table_24861 WHERE "Production code" = '1.12' | SELECT "Original air date" FROM "table_24861" WHERE "Production code" = '1.12' | 0.076172 |
CREATE TABLE table_1682026_2 (company VARCHAR2, market_value__billion_$_ VARCHAR2)
| Which company has a market value of 147.4? | SELECT company FROM table_1682026_2 WHERE market_value__billion_$_ = "147.4" | SELECT "company" FROM "table_1682026_2" WHERE "147.4" = "market_value__billion_$_" | 0.080078 |
CREATE TABLE Course_Authors_and_Tutors (author_id NUMBER, author_tutor_ATB VARCHAR2, login_name VARCHAR2, password VARCHAR2, personal_name VARCHAR2, middle_name VARCHAR2, family_name VARCHAR2, gender_mf VARCHAR2, address_line_1 VARCHAR2)
CREATE TABLE Student_Course_Enrolment (registration_id NUMBER, student_id NUMBER, course_id NUMBER, date_of_enrolment DATETIME, date_of_completion DATETIME)
CREATE TABLE Courses (course_id NUMBER, author_id NUMBER, subject_id NUMBER, course_name VARCHAR2, course_description VARCHAR2)
CREATE TABLE Student_Tests_Taken (registration_id NUMBER, date_test_taken DATETIME, test_result VARCHAR2)
CREATE TABLE Students (student_id NUMBER, date_of_registration DATETIME, date_of_latest_logon DATETIME, login_name VARCHAR2, password VARCHAR2, personal_name VARCHAR2, middle_name VARCHAR2, family_name VARCHAR2)
CREATE TABLE Subjects (subject_id NUMBER, subject_name VARCHAR2)
| What is the date of enrollment of the course named 'Spanish', and count them by a bar chart, and rank Y-axis in descending order please. | SELECT date_of_enrolment, COUNT(date_of_enrolment) FROM Courses AS T1 JOIN Student_Course_Enrolment AS T2 ON T1.course_id = T2.course_id WHERE T1.course_name = "Spanish" ORDER BY COUNT(date_of_enrolment) DESC | SELECT "date_of_enrolment", COUNT("date_of_enrolment") FROM "Courses" "T1" JOIN "Student_Course_Enrolment" "T2" ON "T1"."course_id" = "T2"."course_id" WHERE "Spanish" = "T1"."course_name" ORDER BY COUNT("date_of_enrolment") DESC | 0.222656 |
CREATE TABLE table_33511 ("Home team" CLOB, "Home team score" CLOB, "Away team" CLOB, "Away team score" CLOB, "Venue" CLOB, "Crowd" FLOAT, "Date" CLOB)
| What away team scored 14.5 (89)? | SELECT "Away team" FROM table_33511 WHERE "Away team score" = '14.5 (89)' | SELECT "Away team" FROM "table_33511" WHERE "Away team score" = '14.5 (89)' | 0.073242 |
CREATE TABLE table_36956 ("Year" FLOAT, "Competition" CLOB, "Venue" CLOB, "Position" CLOB, "Event" CLOB)
| What is the position of the commonwealth games? | SELECT "Position" FROM table_36956 WHERE "Competition" = 'commonwealth games' | SELECT "Position" FROM "table_36956" WHERE "Competition" = 'commonwealth games' | 0.077148 |
CREATE TABLE Manufacturers (Code NUMBER, Name VARCHAR2, Headquarter VARCHAR2, Founder VARCHAR2, Revenue FLOAT)
CREATE TABLE Products (Code NUMBER, Name VARCHAR2, Price NUMBER, Manufacturer NUMBER)
| What are the names and the accumulated prices of all products in the store Plot them as a bar chart, and could you list from high to low by the X-axis? | SELECT Name, SUM(Price) FROM Products GROUP BY Name ORDER BY Name DESC | SELECT "Name", SUM("Price") FROM "Products" GROUP BY "Name" ORDER BY "Name" DESC | 0.078125 |
CREATE TABLE table_28641 ("Rank by average" FLOAT, "Place" FLOAT, "Couple" CLOB, "Total points" CLOB, "Number of dances" FLOAT, "Average" CLOB)
| What is the least place when the couple is Keiron & Brianne? | SELECT MIN("Place") FROM table_28641 WHERE "Couple" = 'Keiron & Brianne' | SELECT MIN("Place") FROM "table_28641" WHERE "Couple" = 'Keiron & Brianne' | 0.072266 |
CREATE TABLE table_name_5 (home_team VARCHAR2, crowd NUMBER)
| Who was the home team when the attendance was more than 20,283? | SELECT home_team FROM table_name_5 WHERE crowd > 20 OFFSET 283 | SELECT "home_team" FROM "table_name_5" WHERE "crowd" > 20 OFFSET 283 ROWS | 0.071289 |
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 inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
CREATE TABLE admissions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, admittime TIME, dischtime TIME, admission_type CLOB, admission_location CLOB, discharge_location CLOB, insurance CLOB, language CLOB, marital_status CLOB, ethnicity CLOB, age NUMBER)
CREATE TABLE patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
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 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 prescriptions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, startdate TIME, enddate TIME, drug CLOB, dose_val_rx CLOB, dose_unit_rx CLOB, route CLOB)
CREATE TABLE labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
CREATE TABLE d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
CREATE TABLE diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
CREATE TABLE cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
| calculate how many times patient 26612 had a 1000n/s 20gm ca glu intake. | SELECT COUNT(*) FROM inputevents_cv WHERE inputevents_cv.icustay_id IN (SELECT icustays.icustay_id FROM icustays WHERE icustays.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 26612)) AND inputevents_cv.itemid IN (SELECT d_items.itemid FROM d_items WHERE d_items.label = '1000n/s 20gm ca glu' AND d_items.linksto = 'inputevents_cv') | WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 26612 GROUP BY "hadm_id"), "_u_1" AS (SELECT "icustays"."icustay_id" FROM "icustays" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "icustays"."hadm_id" WHERE NOT "_u_0"."" IS NULL GROUP BY "icustay_id"), "_u_2" AS (SELECT "d_items"."itemid" FROM "d_items" WHERE "d_items"."label" = '1000n/s 20gm ca glu' AND "d_items"."linksto" = 'inputevents_cv' GROUP BY "itemid") SELECT COUNT(*) FROM "inputevents_cv" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "inputevents_cv"."icustay_id" LEFT JOIN "_u_2" "_u_2" ON "_u_2"."" = "inputevents_cv"."itemid" WHERE NOT "_u_1"."" IS NULL AND NOT "_u_2"."" IS NULL | 0.666016 |
CREATE TABLE table_name_69 (location VARCHAR2, court_surface VARCHAR2, country VARCHAR2)
| Which location was in China, and played on a hard court? | SELECT location FROM table_name_69 WHERE court_surface = "hard" AND country = "china" | SELECT "location" FROM "table_name_69" WHERE "china" = "country" AND "court_surface" = "hard" | 0.09082 |
CREATE TABLE party (Party_ID NUMBER, Year FLOAT, Party CLOB, Governor CLOB, Lieutenant_Governor CLOB, Comptroller CLOB, Attorney_General CLOB, US_Senate CLOB)
CREATE TABLE election (Election_ID NUMBER, Counties_Represented CLOB, District NUMBER, Delegate CLOB, Party NUMBER, First_Elected FLOAT, Committee CLOB)
CREATE TABLE county (County_Id NUMBER, County_name CLOB, Population FLOAT, Zip_code CLOB)
| Show the proportion of each party in a pie chart. | SELECT T2.Party, COUNT(T2.Party) FROM election AS T1 JOIN party AS T2 ON T1.Party = T2.Party_ID GROUP BY T2.Party | SELECT "T2"."Party", COUNT("T2"."Party") FROM "election" "T1" JOIN "party" "T2" ON "T1"."Party" = "T2"."Party_ID" GROUP BY "T2"."Party" | 0.131836 |
CREATE TABLE movie (mid NUMBER, title CLOB, year NUMBER, director CLOB)
CREATE TABLE reviewer (rid NUMBER, name CLOB)
CREATE TABLE rating (rid NUMBER, mid NUMBER, stars NUMBER, ratingdate TIME)
| What are the names of movies that get 3 star and 4 star? | SELECT T2.title FROM rating AS T1 JOIN movie AS T2 ON T1.mid = T2.mid WHERE T1.stars = 3 INTERSECT SELECT T2.title FROM rating AS T1 JOIN movie AS T2 ON T1.mid = T2.mid WHERE T1.stars = 4 | SELECT "T2"."title" FROM "rating" "T1" JOIN "movie" "T2" ON "T1"."mid" = "T2"."mid" WHERE "T1"."stars" = 3 INTERSECT SELECT "T2"."title" FROM "rating" "T1" JOIN "movie" "T2" ON "T1"."mid" = "T2"."mid" WHERE "T1"."stars" = 4 | 0.217773 |
CREATE TABLE table_name_74 (pick__number NUMBER, position VARCHAR2, cfl_team VARCHAR2)
| Name the Pick # which has a Position of lb, and a CFL Team of winnipeg? | SELECT SUM(pick__number) FROM table_name_74 WHERE position = "lb" AND cfl_team = "winnipeg" | SELECT SUM("pick__number") FROM "table_name_74" WHERE "cfl_team" = "winnipeg" AND "lb" = "position" | 0.09668 |
CREATE TABLE vitalperiodic (vitalperiodicid NUMBER, patientunitstayid NUMBER, temperature NUMBER, sao2 NUMBER, heartrate NUMBER, respiration NUMBER, systemicsystolic NUMBER, systemicdiastolic NUMBER, systemicmean NUMBER, observationtime TIME)
CREATE TABLE microlab (microlabid NUMBER, patientunitstayid NUMBER, culturesite CLOB, organism CLOB, culturetakentime TIME)
CREATE TABLE intakeoutput (intakeoutputid NUMBER, patientunitstayid NUMBER, cellpath CLOB, celllabel CLOB, cellvaluenumeric NUMBER, intakeoutputtime TIME)
CREATE TABLE treatment (treatmentid NUMBER, patientunitstayid NUMBER, treatmentname CLOB, treatmenttime TIME)
CREATE TABLE medication (medicationid NUMBER, patientunitstayid NUMBER, drugname CLOB, dosage CLOB, routeadmin CLOB, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE allergy (allergyid NUMBER, patientunitstayid NUMBER, drugname CLOB, allergyname CLOB, allergytime 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 lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime TIME)
CREATE TABLE diagnosis (diagnosisid NUMBER, patientunitstayid NUMBER, diagnosisname CLOB, diagnosistime TIME, icd9code CLOB)
CREATE TABLE cost (costid NUMBER, uniquepid CLOB, patienthealthsystemstayid NUMBER, eventtype CLOB, eventid NUMBER, chargetime TIME, cost NUMBER)
| what is the minimum number of monthly diagnosed cases of hypercoagulable state - heparin induced thrombocytopenia? | SELECT MIN(t1.c1) FROM (SELECT COUNT(DISTINCT diagnosis.patientunitstayid) AS c1 FROM diagnosis WHERE diagnosis.diagnosisname = 'hypercoagulable state - heparin induced thrombocytopenia' GROUP BY STRFTIME('%y-%m', diagnosis.diagnosistime)) AS t1 | WITH "t1" AS (SELECT COUNT(DISTINCT "diagnosis"."patientunitstayid") AS "c1" FROM "diagnosis" WHERE "diagnosis"."diagnosisname" = 'hypercoagulable state - heparin induced thrombocytopenia' GROUP BY STRFTIME('%y-%m', "diagnosis"."diagnosistime")) SELECT MIN("t1"."c1") FROM "t1" "t1" | 0.275391 |
CREATE TABLE table_68411 ("Res." CLOB, "Record" CLOB, "Opponent" CLOB, "Method" CLOB, "Round" FLOAT, "Time" CLOB, "Location" CLOB)
| Which round did the bout against Jonatas Novaes end in? | SELECT "Round" FROM table_68411 WHERE "Opponent" = 'jonatas novaes' | SELECT "Round" FROM "table_68411" WHERE "Opponent" = 'jonatas novaes' | 0.067383 |
CREATE TABLE table_55547 ("Home team" CLOB, "Home team score" CLOB, "Away team" CLOB, "Away team score" CLOB, "Venue" CLOB, "Crowd" FLOAT, "Date" CLOB)
| Who did Footscray play against when they scored 14.12 (96)? | SELECT "Away team" FROM table_55547 WHERE "Home team score" = '14.12 (96)' | SELECT "Away team" FROM "table_55547" WHERE "Home team score" = '14.12 (96)' | 0.074219 |
CREATE TABLE table_name_55 (tournament VARCHAR2)
| What shows for 2007 at the Olympic Games as tournament. | SELECT 2007 FROM table_name_55 WHERE tournament = "olympic games" | SELECT 2007 FROM "table_name_55" WHERE "olympic games" = "tournament" | 0.067383 |
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
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)
| give the number of patients who have been diagnosed with asthma, unspecified type, unspecified and drug type base. | 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.long_title = "Asthma, unspecified type, unspecified" AND prescriptions.drug_type = "BASE" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "Asthma, unspecified type, unspecified" = "diagnoses"."long_title" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" JOIN "prescriptions" ON "BASE" = "prescriptions"."drug_type" AND "demographic"."hadm_id" = "prescriptions"."hadm_id" | 0.316406 |
CREATE TABLE table_20331 ("No." FLOAT, "Name" CLOB, "Livery" CLOB, "Locomotive type" CLOB, "Wheel Arrangement" CLOB, "Builder" CLOB, "Year built" FLOAT, "Status" CLOB)
| How many locomotives have a livery that is highland railway green | SELECT COUNT("Name") FROM table_20331 WHERE "Livery" = 'Highland Railway green' | SELECT COUNT("Name") FROM "table_20331" WHERE "Livery" = 'Highland Railway green' | 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 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)
| provide me the number of patients on main drug type prescription who have the diagnoses of poisoning by other opiates and related narcotics. | 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 = "Poisoning-opiates NEC" AND prescriptions.drug_type = "MAIN" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "Poisoning-opiates NEC" = "diagnoses"."short_title" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" JOIN "prescriptions" ON "MAIN" = "prescriptions"."drug_type" AND "demographic"."hadm_id" = "prescriptions"."hadm_id" | 0.301758 |
CREATE TABLE regions (REGION_ID NUMBER, REGION_NAME VARCHAR2)
CREATE TABLE employees (EMPLOYEE_ID NUMBER, FIRST_NAME VARCHAR2, LAST_NAME VARCHAR2, EMAIL VARCHAR2, PHONE_NUMBER VARCHAR2, HIRE_DATE DATE, JOB_ID VARCHAR2, SALARY NUMBER, COMMISSION_PCT NUMBER, MANAGER_ID NUMBER, DEPARTMENT_ID NUMBER)
CREATE TABLE jobs (JOB_ID VARCHAR2, JOB_TITLE VARCHAR2, MIN_SALARY NUMBER, MAX_SALARY NUMBER)
CREATE TABLE departments (DEPARTMENT_ID NUMBER, DEPARTMENT_NAME VARCHAR2, MANAGER_ID NUMBER, LOCATION_ID NUMBER)
CREATE TABLE job_history (EMPLOYEE_ID NUMBER, START_DATE DATE, END_DATE DATE, JOB_ID VARCHAR2, DEPARTMENT_ID NUMBER)
CREATE TABLE locations (LOCATION_ID NUMBER, STREET_ADDRESS VARCHAR2, POSTAL_CODE VARCHAR2, CITY VARCHAR2, STATE_PROVINCE VARCHAR2, COUNTRY_ID VARCHAR2)
CREATE TABLE countries (COUNTRY_ID VARCHAR2, COUNTRY_NAME VARCHAR2, REGION_ID NUMBER)
| For those employees whose salary is in the range of 8000 and 12000 and commission is not null or department number does not equal to 40, visualize a bar chart about the distribution of hire_date and the average of manager_id bin hire_date by time. | SELECT HIRE_DATE, AVG(MANAGER_ID) FROM employees WHERE SALARY BETWEEN 8000 AND 12000 AND COMMISSION_PCT <> "null" OR DEPARTMENT_ID <> 40 | SELECT "HIRE_DATE", AVG("MANAGER_ID") FROM "employees" WHERE ("COMMISSION_PCT" <> "null" OR "DEPARTMENT_ID" <> 40) AND ("DEPARTMENT_ID" <> 40 OR "SALARY" <= 12000) AND ("DEPARTMENT_ID" <> 40 OR "SALARY" >= 8000) | 0.206055 |
CREATE TABLE competition (Competition_ID NUMBER, Year FLOAT, Competition_type CLOB, Country CLOB)
CREATE TABLE competition_result (Competition_ID NUMBER, Club_ID_1 NUMBER, Club_ID_2 NUMBER, Score CLOB)
CREATE TABLE club_rank (Rank FLOAT, Club_ID NUMBER, Gold FLOAT, Silver FLOAT, Bronze FLOAT, Total FLOAT)
CREATE TABLE player (Player_ID NUMBER, name CLOB, Position CLOB, Club_ID NUMBER, Apps FLOAT, Tries FLOAT, Goals CLOB, Points FLOAT)
CREATE TABLE club (Club_ID NUMBER, name CLOB, Region CLOB, Start_year CLOB)
| What is the number of types of competition?, sort the number of competition type from high to low order. | SELECT Competition_type, COUNT(Competition_type) FROM competition GROUP BY Competition_type ORDER BY COUNT(Competition_type) DESC | SELECT "Competition_type", COUNT("Competition_type") FROM "competition" GROUP BY "Competition_type" ORDER BY COUNT("Competition_type") DESC | 0.135742 |
CREATE TABLE table_name_32 (date VARCHAR2, attendance NUMBER)
| Which Date has an Attendance larger than 1,858? | SELECT date FROM table_name_32 WHERE attendance > 1 OFFSET 858 | SELECT "date" FROM "table_name_32" WHERE "attendance" > 1 OFFSET 858 ROWS | 0.071289 |
CREATE TABLE table_73934 ("Represents" CLOB, "Contestant" CLOB, "Age" FLOAT, "Height ( cm ) " CLOB, "Height ( ft ) " CLOB, "Hometown" CLOB)
| Name the total number of represents for clary sermina delgado cid | SELECT COUNT("Represents") FROM table_73934 WHERE "Contestant" = 'Clary Sermina Delgado Cid' | SELECT COUNT("Represents") FROM "table_73934" WHERE "Contestant" = 'Clary Sermina Delgado Cid' | 0.091797 |
CREATE TABLE table_12105 ("Name" CLOB, "Circuit" CLOB, "Date" CLOB, "Winning driver" CLOB, "Winning constructor" CLOB, "Report" CLOB)
| What date was the Tigullio Circuit? | SELECT "Date" FROM table_12105 WHERE "Circuit" = 'tigullio' | SELECT "Date" FROM "table_12105" WHERE "Circuit" = 'tigullio' | 0.05957 |
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 outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
CREATE TABLE microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
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_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 prescriptions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, startdate TIME, enddate TIME, drug CLOB, dose_val_rx CLOB, dose_unit_rx CLOB, route CLOB)
CREATE TABLE chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE 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 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 labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
| what was the name of the medicine that was prescribed to patient 8116 in this hospital encounter for the last time? | SELECT prescriptions.drug FROM prescriptions WHERE prescriptions.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 8116 AND admissions.dischtime IS NULL) ORDER BY prescriptions.startdate DESC LIMIT 1 | WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."dischtime" IS NULL AND "admissions"."subject_id" = 8116 GROUP BY "hadm_id") SELECT "prescriptions"."drug" FROM "prescriptions" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "prescriptions"."hadm_id" WHERE NOT "_u_0"."" IS NULL ORDER BY "prescriptions"."startdate" DESC FETCH FIRST 1 ROWS ONLY | 0.360352 |
CREATE TABLE table_203_489 (id NUMBER, "year" NUMBER, "title" CLOB, "system" CLOB, "developer" CLOB, "publisher" CLOB)
| when ghostbusters was released for the nes in 1988 what systems had it previously been released for ? | SELECT "system" FROM table_203_489 WHERE id = (SELECT id FROM table_203_489 WHERE "title" = 'ghostbusters' AND "year" = 1988) - 1 | SELECT "system" FROM "table_203_489" WHERE "id" = (SELECT "id" FROM "table_203_489" WHERE "title" = 'ghostbusters' AND "year" = 1988) - 1 | 0.133789 |
CREATE TABLE table_2676980_4 (seats_in_congress VARCHAR2, electoral_district VARCHAR2)
| What is the number of seats in congress when the electoral district is Ucayali? | SELECT COUNT(seats_in_congress) FROM table_2676980_4 WHERE electoral_district = "Ucayali" | SELECT COUNT("seats_in_congress") FROM "table_2676980_4" WHERE "Ucayali" = "electoral_district" | 0.092773 |
CREATE TABLE table_51933 ("Driver" CLOB, "Constructor" CLOB, "Laps" FLOAT, "Time/Retired" CLOB, "Grid" FLOAT)
| what is the grid when the laps is more than 0, the time/retired is engine and the driver is pedro de la rosa? | SELECT "Grid" FROM table_51933 WHERE "Laps" > '0' AND "Time/Retired" = 'engine' AND "Driver" = 'pedro de la rosa' | SELECT "Grid" FROM "table_51933" WHERE "Driver" = 'pedro de la rosa' AND "Laps" > '0' AND "Time/Retired" = 'engine' | 0.112305 |
CREATE TABLE table_name_14 (tries_for VARCHAR2, tries_against VARCHAR2)
| WHAT TRIES HAVE TRIES AGAINST AT 140? | SELECT tries_for FROM table_name_14 WHERE tries_against = "140" | SELECT "tries_for" FROM "table_name_14" WHERE "140" = "tries_against" | 0.067383 |
CREATE TABLE table_32873 ("Adherents" FLOAT, "Regular Attendees" FLOAT, "% of adherents" CLOB, "Monasteries" FLOAT, "Parishes" FLOAT, "Average Parish Size" FLOAT)
| What is the lowest number of monasteries with over 20 parishes, 210,864 regular attendeeds, and over 799,776 adherents? | SELECT MIN("Monasteries") FROM table_32873 WHERE "Parishes" > '20' AND "Regular Attendees" = '210,864' AND "Adherents" > '799,776' | SELECT MIN("Monasteries") FROM "table_32873" WHERE "Adherents" > '799,776' AND "Parishes" > '20' AND "Regular Attendees" = '210,864' | 0.128906 |
CREATE TABLE table_56156 ("Team" CLOB, "Points" FLOAT, "Played" FLOAT, "Drawn" FLOAT, "Lost" FLOAT, "Against" FLOAT, "Diff" FLOAT)
| What is the lowest number drawn with less than 2 lost? | SELECT MIN("Drawn") FROM table_56156 WHERE "Lost" < '2' | SELECT MIN("Drawn") FROM "table_56156" WHERE "Lost" < '2' | 0.055664 |
CREATE TABLE table_name_71 (visitor VARCHAR2, record VARCHAR2)
| Which Visitor has a Record of 9 12 5? | SELECT visitor FROM table_name_71 WHERE record = "9–12–5" | SELECT "visitor" FROM "table_name_71" WHERE "9–12–5" = "record" | 0.061523 |
CREATE TABLE table_23286158_8 (record VARCHAR2, location_attendance VARCHAR2)
| Name the record for rose garden 20,565 attendance | SELECT record FROM table_23286158_8 WHERE location_attendance = "Rose Garden 20,565" | SELECT "record" FROM "table_23286158_8" WHERE "Rose Garden 20,565" = "location_attendance" | 0.087891 |
CREATE TABLE table_203_306 (id NUMBER, "no." NUMBER, "title" CLOB, "directed by" CLOB, "written by" CLOB, "original air date" CLOB)
| which month aired the most episodes according to this chart ? | SELECT "original air date" FROM table_203_306 GROUP BY "original air date" ORDER BY COUNT(*) DESC LIMIT 1 | SELECT "original air date" FROM "table_203_306" GROUP BY "original air date" ORDER BY COUNT(*) DESC FETCH FIRST 1 ROWS ONLY | 0.120117 |
CREATE TABLE editor (Editor_ID NUMBER, Name CLOB, Age FLOAT)
CREATE TABLE journal_committee (Editor_ID NUMBER, Journal_ID NUMBER, Work_Type CLOB)
CREATE TABLE journal (Journal_ID NUMBER, Date CLOB, Theme CLOB, Sales NUMBER)
| Compare each editors' ages using a bar chart, sort by the Y in asc. | SELECT Name, Age FROM editor ORDER BY Age | SELECT "Name", "Age" FROM "editor" ORDER BY "Age" | 0.047852 |
CREATE TABLE table_26022 ("Series #" FLOAT, "Title" CLOB, "Directed by" CLOB, "Written by" CLOB, "Original air date" CLOB, "U.S. viewers ( in millions ) " CLOB)
| If the amount of U.S. viewers is 2.14 million, who was the episode directed by? | SELECT "Directed by" FROM table_26022 WHERE "U.S. viewers (in millions)" = '2.14' | SELECT "Directed by" FROM "table_26022" WHERE "U.S. viewers (in millions)" = '2.14' | 0.081055 |
CREATE TABLE musical (Musical_ID NUMBER, Name CLOB, Year NUMBER, Award CLOB, Category CLOB, Nominee CLOB, Result CLOB)
CREATE TABLE actor (Actor_ID NUMBER, Name CLOB, Musical_ID NUMBER, Character CLOB, Duration CLOB, age NUMBER)
| Bar chart x axis nominee y axis the total number, and rank in descending by the total number. | SELECT Nominee, COUNT(*) FROM musical GROUP BY Nominee ORDER BY COUNT(*) DESC | SELECT "Nominee", COUNT(*) FROM "musical" GROUP BY "Nominee" ORDER BY COUNT(*) DESC | 0.081055 |
CREATE TABLE table_name_72 (tournament VARCHAR2, winning_score VARCHAR2)
| What tournament had a winning score of 9 (69-71-67=207)? | SELECT tournament FROM table_name_72 WHERE winning_score = –9(69 - 71 - 67 = 207) | SELECT "tournament" FROM "table_name_72" WHERE "winning_score" = –9(FALSE) | 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 microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
CREATE TABLE cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
CREATE TABLE patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
CREATE TABLE 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 procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE 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 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 labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE admissions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, admittime TIME, dischtime TIME, admission_type CLOB, admission_location CLOB, discharge_location CLOB, insurance CLOB, language CLOB, marital_status CLOB, ethnicity CLOB, age NUMBER)
CREATE TABLE icustays (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, first_careunit CLOB, last_careunit CLOB, first_wardid NUMBER, last_wardid NUMBER, intime TIME, outtime TIME)
| the arterial bp [diastolic] of patient 15447 second measured on the current intensive care unit visit is less than the value first measured on the current intensive care unit visit? | SELECT (SELECT chartevents.valuenum FROM chartevents WHERE chartevents.icustay_id IN (SELECT icustays.icustay_id FROM icustays WHERE icustays.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 15447) AND icustays.outtime IS NULL) AND chartevents.itemid IN (SELECT d_items.itemid FROM d_items WHERE d_items.label = 'arterial bp [diastolic]' AND d_items.linksto = 'chartevents') ORDER BY chartevents.charttime LIMIT 1 OFFSET 1) < (SELECT chartevents.valuenum FROM chartevents WHERE chartevents.icustay_id IN (SELECT icustays.icustay_id FROM icustays WHERE icustays.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 15447) AND icustays.outtime IS NULL) AND chartevents.itemid IN (SELECT d_items.itemid FROM d_items WHERE d_items.label = 'arterial bp [diastolic]' AND d_items.linksto = 'chartevents') ORDER BY chartevents.charttime LIMIT 1) | WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 15447 GROUP BY "hadm_id"), "_u_1" AS (SELECT "icustays"."icustay_id" FROM "icustays" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "icustays"."hadm_id" WHERE "icustays"."outtime" IS NULL AND NOT "_u_0"."" IS NULL GROUP BY "icustay_id"), "_u_2" AS (SELECT "d_items"."itemid" FROM "d_items" WHERE "d_items"."label" = 'arterial bp [diastolic]' AND "d_items"."linksto" = 'chartevents' GROUP BY "itemid"), "_u_5" AS (SELECT "icustays"."icustay_id" FROM "icustays" LEFT JOIN "_u_0" "_u_4" ON "_u_4"."" = "icustays"."hadm_id" WHERE "icustays"."outtime" IS NULL AND NOT "_u_4"."" IS NULL GROUP BY "icustay_id") SELECT (SELECT "chartevents"."valuenum" FROM "chartevents" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "chartevents"."icustay_id" LEFT JOIN "_u_2" "_u_2" ON "_u_2"."" = "chartevents"."itemid" WHERE NOT "_u_1"."" IS NULL AND NOT "_u_2"."" IS NULL ORDER BY "chartevents"."charttime" OFFSET 1 ROWS FETCH FIRST 1 ROWS ONLY) < (SELECT "chartevents"."valuenum" FROM "chartevents" LEFT JOIN "_u_5" "_u_5" ON "_u_5"."" = "chartevents"."icustay_id" LEFT JOIN "_u_2" "_u_6" ON "_u_6"."" = "chartevents"."itemid" WHERE NOT "_u_5"."" IS NULL AND NOT "_u_6"."" IS NULL ORDER BY "chartevents"."charttime" FETCH FIRST 1 ROWS ONLY) | 1.273438 |
CREATE TABLE table_79628 ("Date" CLOB, "Opponent" CLOB, "Score" CLOB, "Loss" CLOB, "Attendance" FLOAT, "Record" CLOB, "Arena" CLOB, "Points" FLOAT)
| What is the Attendance at Joe Louis Arena? | SELECT AVG("Attendance") FROM table_79628 WHERE "Arena" = 'joe louis arena' | SELECT AVG("Attendance") FROM "table_79628" WHERE "Arena" = 'joe louis arena' | 0.075195 |
CREATE TABLE table_name_41 (crowd NUMBER, away_team VARCHAR2)
| What was the size of the largest crowd that Essendon played in front of as the away team? | SELECT MAX(crowd) FROM table_name_41 WHERE away_team = "essendon" | SELECT MAX("crowd") FROM "table_name_41" WHERE "away_team" = "essendon" | 0.069336 |
CREATE TABLE table_name_28 (revenue__ NUMBER, team VARCHAR2, rank VARCHAR2)
| What is the average revenue for Bayern Munich with a rank greater than 4? | SELECT AVG(revenue__) AS $m_ FROM table_name_28 WHERE team = "bayern munich" AND rank > 4 | SELECT AVG("revenue__") AS "$m_" FROM "table_name_28" WHERE "bayern munich" = "team" AND "rank" > 4 | 0.09668 |
CREATE TABLE table_204_668 (id NUMBER, "#" NUMBER, "menteri besar" CLOB, "took office" CLOB, "left office" CLOB, "party" CLOB)
| how long did ungku abdul aziz abdul majid serve ? | SELECT "left office" - "took office" FROM table_204_668 WHERE "menteri besar" = 'ungku abdul aziz abdul majid' | SELECT "left office" - "took office" FROM "table_204_668" WHERE "menteri besar" = 'ungku abdul aziz abdul majid' | 0.109375 |
CREATE TABLE table_60026 ("Rank" CLOB, "Bank" CLOB, "Assets ( USD ) Millions" FLOAT, "Market Share" CLOB, "Number of Branches" FLOAT)
| What is the Market Share that has Assets of 25 Million and a rank of 23? | SELECT "Market Share" FROM table_60026 WHERE "Assets (USD) Millions" = '25' AND "Rank" = '23' | SELECT "Market Share" FROM "table_60026" WHERE "Assets (USD) Millions" = '25' AND "Rank" = '23' | 0.092773 |
CREATE TABLE PostTags (PostId NUMBER, TagId NUMBER)
CREATE TABLE Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
CREATE TABLE ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment CLOB)
CREATE TABLE PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
CREATE TABLE ReviewTaskResultTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostHistoryTypes (Id NUMBER, Name CLOB)
CREATE TABLE PostsWithDeleted (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE CloseReasonTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId NUMBER)
CREATE TABLE SuggestedEdits (Id NUMBER, PostId NUMBER, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId NUMBER, Comment CLOB, Text CLOB, Title CLOB, Tags CLOB, RevisionGUID other)
CREATE TABLE SuggestedEditVotes (Id NUMBER, SuggestedEditId NUMBER, UserId NUMBER, VoteTypeId NUMBER, CreationDate TIME, TargetUserId NUMBER, TargetRepChange NUMBER)
CREATE TABLE TagSynonyms (Id NUMBER, SourceTagName CLOB, TargetTagName CLOB, CreationDate TIME, OwnerUserId NUMBER, AutoRenameCount NUMBER, LastAutoRename TIME, Score NUMBER, ApprovedByUserId NUMBER, ApprovalDate TIME)
CREATE TABLE ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
CREATE TABLE Posts (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE Comments (Id NUMBER, PostId NUMBER, Score NUMBER, Text CLOB, CreationDate TIME, UserDisplayName CLOB, UserId NUMBER, ContentLicense CLOB)
CREATE TABLE CloseAsOffTopicReasonTypes (Id NUMBER, IsUniversal BOOLEAN, InputTitle CLOB, MarkdownInputGuidance CLOB, MarkdownPostOwnerGuidance CLOB, MarkdownPrivilegedUserGuidance CLOB, MarkdownConcensusDescription CLOB, CreationDate TIME, CreationModeratorId NUMBER, ApprovalDate TIME, ApprovalModeratorId NUMBER, DeactivationDate TIME, DeactivationModeratorId NUMBER)
CREATE TABLE ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId NUMBER)
CREATE TABLE PostTypes (Id NUMBER, Name CLOB)
CREATE TABLE VoteTypes (Id NUMBER, Name CLOB)
CREATE TABLE PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
CREATE TABLE FlagTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
CREATE TABLE Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount NUMBER)
CREATE TABLE PostHistory (Id NUMBER, PostHistoryTypeId NUMBER, PostId NUMBER, RevisionGUID other, CreationDate TIME, UserId NUMBER, UserDisplayName CLOB, Comment CLOB, Text CLOB, ContentLicense CLOB)
CREATE TABLE PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId NUMBER)
CREATE TABLE PendingFlags (Id NUMBER, FlagTypeId NUMBER, PostId NUMBER, CreationDate TIME, CloseReasonTypeId NUMBER, CloseAsOffTopicReasonTypeId NUMBER, DuplicateOfQuestionId NUMBER, BelongsOnBaseHostAddress CLOB)
CREATE TABLE ReviewTaskTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE ReviewTaskStates (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Users (Id NUMBER, Reputation NUMBER, CreationDate TIME, DisplayName CLOB, LastAccessDate TIME, WebsiteUrl CLOB, Location CLOB, AboutMe CLOB, Views NUMBER, UpVotes NUMBER, DownVotes NUMBER, ProfileImageUrl CLOB, EmailHash CLOB, AccountId NUMBER)
| Top ten lowest scored answers with OwnerUserID. | SELECT 'id' AS "post_link", 'score', 'owneruserid' AS "user_link" FROM Posts WHERE 'posttypeid' = 2 AND 'score' < 0 ORDER BY 'score' LIMIT 10 | SELECT 'id' AS "post_link", 'score', 'owneruserid' AS "user_link" FROM "Posts" WHERE 'posttypeid' = 2 AND 'score' < 0 ORDER BY 'score' FETCH FIRST 10 ROWS ONLY | 0.155273 |
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
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)
| provide the number of patients whose days of hospital stay is greater than 0 and lab test name is phosphate? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.days_stay > "0" AND lab.label = "Phosphate" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "lab" ON "Phosphate" = "lab"."label" AND "demographic"."hadm_id" = "lab"."hadm_id" WHERE "0" < "demographic"."days_stay" | 0.189453 |
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
| for what disease subject id 6983 has been diagnosed for? | SELECT diagnoses.long_title FROM diagnoses WHERE diagnoses.subject_id = "6983" | SELECT "diagnoses"."long_title" FROM "diagnoses" WHERE "6983" = "diagnoses"."subject_id" | 0.085938 |
CREATE TABLE table_16432167_1 (written_by VARCHAR2, production_code VARCHAR2)
| Who wrote the episode with the production code of 942A? | SELECT written_by FROM table_16432167_1 WHERE production_code = "942A" | SELECT "written_by" FROM "table_16432167_1" WHERE "942A" = "production_code" | 0.074219 |
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 aircraft (aircraft_code VARCHAR2, aircraft_description VARCHAR2, manufacturer VARCHAR2, basic_type VARCHAR2, engines NUMBER, propulsion VARCHAR2, wide_body VARCHAR2, wing_span NUMBER, length NUMBER, weight NUMBER, capacity NUMBER, pay_load NUMBER, cruising_speed NUMBER, range_miles NUMBER, pressurized VARCHAR2)
CREATE TABLE flight_fare (flight_id NUMBER, fare_id NUMBER)
CREATE TABLE time_interval (period CLOB, begin_time NUMBER, end_time NUMBER)
CREATE TABLE flight (aircraft_code_sequence CLOB, airline_code VARCHAR2, airline_flight CLOB, arrival_time NUMBER, connections NUMBER, departure_time NUMBER, dual_carrier CLOB, flight_days CLOB, flight_id NUMBER, flight_number NUMBER, from_airport VARCHAR2, meal_code CLOB, stops NUMBER, time_elapsed NUMBER, to_airport VARCHAR2)
CREATE TABLE dual_carrier (main_airline VARCHAR2, low_flight_number NUMBER, high_flight_number NUMBER, dual_airline VARCHAR2, service_name CLOB)
CREATE TABLE days (days_code VARCHAR2, day_name VARCHAR2)
CREATE TABLE ground_service (city_code CLOB, airport_code CLOB, transport_type CLOB, ground_fare NUMBER)
CREATE TABLE airport_service (city_code VARCHAR2, airport_code VARCHAR2, miles_distant NUMBER, direction VARCHAR2, minutes_distant NUMBER)
CREATE TABLE state (state_code CLOB, state_name CLOB, country_name CLOB)
CREATE TABLE flight_leg (flight_id NUMBER, leg_number NUMBER, leg_flight NUMBER)
CREATE TABLE compartment_class (compartment VARCHAR2, class_type VARCHAR2)
CREATE TABLE fare (fare_id NUMBER, from_airport VARCHAR2, to_airport VARCHAR2, fare_basis_code CLOB, fare_airline CLOB, restriction_code CLOB, one_direction_cost NUMBER, round_trip_cost NUMBER, round_trip_required VARCHAR2)
CREATE TABLE airline (airline_code VARCHAR2, airline_name CLOB, note CLOB)
CREATE TABLE date_day (month_number NUMBER, day_number NUMBER, year NUMBER, day_name 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 code_description (code VARCHAR2, description CLOB)
CREATE TABLE flight_stop (flight_id NUMBER, stop_number NUMBER, stop_days CLOB, stop_airport CLOB, arrival_time NUMBER, arrival_airline CLOB, arrival_flight_number NUMBER, departure_time NUMBER, departure_airline CLOB, departure_flight_number NUMBER, stop_time NUMBER)
CREATE TABLE class_of_service (booking_class VARCHAR2, rank NUMBER, class_description CLOB)
CREATE TABLE equipment_sequence (aircraft_code_sequence VARCHAR2, aircraft_code VARCHAR2)
CREATE TABLE month (month_number NUMBER, month_name CLOB)
CREATE TABLE food_service (meal_code CLOB, meal_number NUMBER, compartment CLOB, meal_description VARCHAR2)
CREATE TABLE fare_basis (fare_basis_code CLOB, booking_class CLOB, class_type CLOB, premium CLOB, economy CLOB, discounted CLOB, night CLOB, season CLOB, basis_days CLOB)
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)
| between BOSTON and DENVER i'd like a flight that takes the least amount of stops to get to BOSTON | SELECT DISTINCT flight.flight_id FROM airport_service AS AIRPORT_SERVICE_0, airport_service AS AIRPORT_SERVICE_1, city AS CITY_0, city AS CITY_1, flight WHERE (CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'DENVER' AND CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'BOSTON' AND flight.from_airport = AIRPORT_SERVICE_0.airport_code AND flight.to_airport = AIRPORT_SERVICE_1.airport_code) AND flight.stops = (SELECT MIN(FLIGHTalias1.stops) FROM airport_service AS AIRPORT_SERVICEalias2, airport_service AS AIRPORT_SERVICEalias3, city AS CITYalias2, city AS CITYalias3, flight AS FLIGHTalias1 WHERE CITYalias2.city_code = AIRPORT_SERVICEalias2.city_code AND CITYalias2.city_name = 'DENVER' AND CITYalias3.city_code = AIRPORT_SERVICEalias3.city_code AND CITYalias3.city_name = 'BOSTON' AND FLIGHTalias1.from_airport = AIRPORT_SERVICEalias2.airport_code AND FLIGHTalias1.to_airport = AIRPORT_SERVICEalias3.airport_code) | WITH "_u_0" AS (SELECT MIN("FLIGHTalias1"."stops") FROM "airport_service" "AIRPORT_SERVICEalias2" JOIN "city" "CITYalias2" ON "AIRPORT_SERVICEalias2"."city_code" = "CITYalias2"."city_code" AND "CITYalias2"."city_name" = 'DENVER' JOIN "flight" "FLIGHTalias1" ON "AIRPORT_SERVICEalias2"."airport_code" = "FLIGHTalias1"."from_airport" JOIN "airport_service" "AIRPORT_SERVICEalias3" ON "AIRPORT_SERVICEalias3"."airport_code" = "FLIGHTalias1"."to_airport" JOIN "city" "CITYalias3" ON "AIRPORT_SERVICEalias3"."city_code" = "CITYalias3"."city_code" AND "CITYalias3"."city_name" = 'BOSTON') 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" = 'DENVER' 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 "_u_0" "_u_0" ON "_u_0"."" = "flight"."stops" JOIN "city" "CITY_1" ON "AIRPORT_SERVICE_1"."city_code" = "CITY_1"."city_code" AND "CITY_1"."city_name" = 'BOSTON' | 1.099609 |
CREATE TABLE table_name_48 (position VARCHAR2, college_hall_of_fame VARCHAR2)
| What Position has no College Hall of Fame? | SELECT position FROM table_name_48 WHERE college_hall_of_fame = "no" | SELECT "position" FROM "table_name_48" WHERE "college_hall_of_fame" = "no" | 0.072266 |
CREATE TABLE table_48648 ("Place" CLOB, "Player" CLOB, "Country" CLOB, "Score" CLOB, "To par" CLOB, "Money ( $ ) " FLOAT)
| What player scored 70-73-69-72=284? | SELECT "Player" FROM table_48648 WHERE "Score" = '70-73-69-72=284' | SELECT "Player" FROM "table_48648" WHERE "Score" = '70-73-69-72=284' | 0.066406 |
CREATE TABLE table_name_40 (record VARCHAR2, opponent VARCHAR2, december VARCHAR2, points VARCHAR2)
| What record has a december less than 6, points less than 38, and pittsburgh penguins as the opponent? | SELECT record FROM table_name_40 WHERE december < 6 AND points < 38 AND opponent = "pittsburgh penguins" | SELECT "record" FROM "table_name_40" WHERE "december" < 6 AND "opponent" = "pittsburgh penguins" AND "points" < 38 | 0.111328 |
CREATE TABLE table_name_83 (finish VARCHAR2, country VARCHAR2)
| For the player from Fiji, what was his finish? | SELECT finish FROM table_name_83 WHERE country = "fiji" | SELECT "finish" FROM "table_name_83" WHERE "country" = "fiji" | 0.05957 |
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 transfers (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, eventtype CLOB, careunit CLOB, wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE icustays (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, first_careunit CLOB, last_careunit CLOB, first_wardid NUMBER, last_wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE 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 cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
CREATE TABLE inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
CREATE TABLE patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
CREATE TABLE prescriptions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, startdate TIME, enddate TIME, drug CLOB, dose_val_rx CLOB, dose_unit_rx CLOB, route CLOB)
CREATE TABLE d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
CREATE TABLE outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
CREATE TABLE labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
CREATE TABLE procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
| what is the top four procedure that is most common in 2105? | SELECT d_icd_procedures.short_title FROM d_icd_procedures WHERE d_icd_procedures.icd9_code IN (SELECT t1.icd9_code FROM (SELECT procedures_icd.icd9_code, DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS c1 FROM procedures_icd WHERE STRFTIME('%y', procedures_icd.charttime) = '2105' GROUP BY procedures_icd.icd9_code) AS t1 WHERE t1.c1 <= 4) | WITH "t1" AS (SELECT "procedures_icd"."icd9_code", DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS "c1" FROM "procedures_icd" WHERE STRFTIME('%y', "procedures_icd"."charttime") = '2105' GROUP BY "procedures_icd"."icd9_code"), "_u_0" AS (SELECT "t1"."icd9_code" FROM "t1" "t1" WHERE "t1"."c1" <= 4 GROUP BY "icd9_code") SELECT "d_icd_procedures"."short_title" FROM "d_icd_procedures" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "d_icd_procedures"."icd9_code" WHERE NOT "_u_0"."" IS NULL | 0.466797 |
CREATE TABLE table_203_742 (id NUMBER, "rnd" NUMBER, "date" CLOB, "race name" CLOB, "circuit" CLOB, "city/location" CLOB, "pole position" CLOB, "fastest lap" CLOB, "winning driver" CLOB, "winning team" CLOB, "report" CLOB)
| what was the name of the race that took place before the australian indycar grand prix on march 19th ? | SELECT "race name" FROM table_203_742 WHERE "date" < (SELECT "date" FROM table_203_742 WHERE "race name" = 'australian indycar grand prix') ORDER BY "date" DESC LIMIT 1 | SELECT "race name" FROM "table_203_742" WHERE "date" < (SELECT "date" FROM "table_203_742" WHERE "race name" = 'australian indycar grand prix') ORDER BY "date" DESC FETCH FIRST 1 ROWS ONLY | 0.183594 |
CREATE TABLE table_72144 ("Pick #" FLOAT, "CFL Team" CLOB, "Player" CLOB, "Position" CLOB, "College" CLOB)
| Which player from the 2004 CFL draft attended Wilfrid Laurier? | SELECT "Player" FROM table_72144 WHERE "College" = 'Wilfrid Laurier' | SELECT "Player" FROM "table_72144" WHERE "College" = 'Wilfrid Laurier' | 0.068359 |
CREATE TABLE PendingFlags (Id NUMBER, FlagTypeId NUMBER, PostId NUMBER, CreationDate TIME, CloseReasonTypeId NUMBER, CloseAsOffTopicReasonTypeId NUMBER, DuplicateOfQuestionId NUMBER, BelongsOnBaseHostAddress CLOB)
CREATE TABLE CloseAsOffTopicReasonTypes (Id NUMBER, IsUniversal BOOLEAN, InputTitle CLOB, MarkdownInputGuidance CLOB, MarkdownPostOwnerGuidance CLOB, MarkdownPrivilegedUserGuidance CLOB, MarkdownConcensusDescription CLOB, CreationDate TIME, CreationModeratorId NUMBER, ApprovalDate TIME, ApprovalModeratorId NUMBER, DeactivationDate TIME, DeactivationModeratorId NUMBER)
CREATE TABLE 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 ReviewTaskResultTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE SuggestedEditVotes (Id NUMBER, SuggestedEditId NUMBER, UserId NUMBER, VoteTypeId NUMBER, CreationDate TIME, TargetUserId NUMBER, TargetRepChange NUMBER)
CREATE TABLE PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId NUMBER)
CREATE TABLE Users (Id NUMBER, Reputation NUMBER, CreationDate TIME, DisplayName CLOB, LastAccessDate TIME, WebsiteUrl CLOB, Location CLOB, AboutMe CLOB, Views NUMBER, UpVotes NUMBER, DownVotes NUMBER, ProfileImageUrl CLOB, EmailHash CLOB, AccountId NUMBER)
CREATE TABLE SuggestedEdits (Id NUMBER, PostId NUMBER, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId NUMBER, Comment CLOB, Text CLOB, Title CLOB, Tags CLOB, RevisionGUID other)
CREATE TABLE PostHistory (Id NUMBER, PostHistoryTypeId NUMBER, PostId NUMBER, RevisionGUID other, CreationDate TIME, UserId NUMBER, UserDisplayName CLOB, Comment CLOB, Text CLOB, ContentLicense CLOB)
CREATE TABLE PostTags (PostId NUMBER, TagId NUMBER)
CREATE TABLE CloseReasonTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostsWithDeleted (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
CREATE TABLE PostTypes (Id NUMBER, Name CLOB)
CREATE TABLE Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
CREATE TABLE FlagTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId NUMBER)
CREATE TABLE ReviewTaskStates (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE VoteTypes (Id NUMBER, Name CLOB)
CREATE TABLE PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
CREATE TABLE PostHistoryTypes (Id NUMBER, Name CLOB)
CREATE TABLE PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId NUMBER)
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 Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount NUMBER)
CREATE TABLE Posts (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE Comments (Id NUMBER, PostId NUMBER, Score NUMBER, Text CLOB, CreationDate TIME, UserDisplayName CLOB, UserId NUMBER, ContentLicense CLOB)
CREATE TABLE ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
| Number of Bounties each year. | SELECT COUNT(PostId), YEAR(CreationDate) FROM Votes WHERE NOT BountyAmount IS NULL AND VoteTypeId = 8 GROUP BY YEAR(CreationDate) | SELECT COUNT("PostId"), YEAR("CreationDate") FROM "Votes" WHERE "VoteTypeId" = 8 AND NOT "BountyAmount" IS NULL GROUP BY YEAR("CreationDate") | 0.137695 |
CREATE TABLE table_5348 ("Year" CLOB, "Men's singles" CLOB, "Women's singles" CLOB, "Men's doubles" CLOB, "Women's doubles" CLOB, "Mixed doubles" CLOB)
| In what year did Yvette Porteous play women's singles? | SELECT "Year" FROM table_5348 WHERE "Women's singles" = 'yvette porteous' | SELECT "Year" FROM "table_5348" WHERE "Women's singles" = 'yvette porteous' | 0.073242 |
CREATE TABLE table_204_597 (id NUMBER, "main author" CLOB, "no. of patients" NUMBER, "duration of follow-up years" NUMBER, "linearized rate of infection" CLOB, "actuarial freedom from infective endocarditis" CLOB)
| what is the minimum of follow up years do each author have ? | SELECT MIN("duration of follow-up years") FROM table_204_597 | SELECT MIN("duration of follow-up years") FROM "table_204_597" | 0.060547 |
CREATE TABLE table_48313 ("Wicket" CLOB, "Runs" CLOB, "Batsmen" CLOB, "Opponent" CLOB, "Venue" CLOB, "Season" CLOB)
| Who were the batsmen paired for wicket 7? | SELECT "Batsmen" FROM table_48313 WHERE "Wicket" = '7' | SELECT "Batsmen" FROM "table_48313" WHERE "Wicket" = '7' | 0.054688 |
CREATE TABLE table_26686908_2 (date VARCHAR2, circuit VARCHAR2)
| What is the date for the mount panorama circuit? | SELECT date FROM table_26686908_2 WHERE circuit = "Mount Panorama circuit" | SELECT "date" FROM "table_26686908_2" WHERE "Mount Panorama circuit" = "circuit" | 0.078125 |
CREATE TABLE roller_coaster (Roller_Coaster_ID NUMBER, Name CLOB, Park CLOB, Country_ID NUMBER, Length FLOAT, Height FLOAT, Speed CLOB, Opened CLOB, Status CLOB)
CREATE TABLE country (Country_ID NUMBER, Name CLOB, Population NUMBER, Area NUMBER, Languages CLOB)
| Return a scatter on what are the lengths and heights of roller coasters? | SELECT Length, Height FROM roller_coaster | SELECT "Length", "Height" FROM "roller_coaster" | 0.045898 |
CREATE TABLE table_name_25 (points NUMBER, player VARCHAR2, goals VARCHAR2)
| How many points does Shawn Mceachern with less than 79 goals? | SELECT SUM(points) FROM table_name_25 WHERE player = "shawn mceachern" AND goals < 79 | SELECT SUM("points") FROM "table_name_25" WHERE "goals" < 79 AND "player" = "shawn mceachern" | 0.09082 |
CREATE TABLE table_5762 ("Candidate" CLOB, "Party" CLOB, "Votes" CLOB, "Quotient" CLOB, "Municipality" CLOB)
| Votes of 27,391 has which quotient? | SELECT "Quotient" FROM table_5762 WHERE "Votes" = '27,391' | SELECT "Quotient" FROM "table_5762" WHERE "Votes" = '27,391' | 0.058594 |
CREATE TABLE table_36300 ("Distribution" CLOB, "x86-64" CLOB, "ia64" CLOB, "ppc64" CLOB, "sparc32" CLOB, "hppa" CLOB, "mips" CLOB, "s390" CLOB, "s390x" CLOB, "alpha" CLOB, "m68k" CLOB)
| Which Alpha contains ia64 with discontinued 3.5-3.8 4.1-4.7? | SELECT "alpha" FROM table_36300 WHERE "ia64" = 'discontinued 3.5-3.8 4.1-4.7' | SELECT "alpha" FROM "table_36300" WHERE "ia64" = 'discontinued 3.5-3.8 4.1-4.7' | 0.077148 |
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)
| For patient id 31066, specify the time and location of admission | SELECT demographic.admission_location, demographic.admittime FROM demographic WHERE demographic.subject_id = "31066" | SELECT "demographic"."admission_location", "demographic"."admittime" FROM "demographic" WHERE "31066" = "demographic"."subject_id" | 0.126953 |
CREATE TABLE table_51220 ("Goal" FLOAT, "Date" CLOB, "Score" CLOB, "Result" CLOB, "Competition" CLOB)
| What was the result of the game with 9 goals? | SELECT "Result" FROM table_51220 WHERE "Goal" = '9' | SELECT "Result" FROM "table_51220" WHERE "Goal" = '9' | 0.051758 |
CREATE TABLE table_name_62 (award VARCHAR2, year NUMBER)
| What award did they win before 2005? | SELECT award FROM table_name_62 WHERE year < 2005 | SELECT "award" FROM "table_name_62" WHERE "year" < 2005 | 0.053711 |
CREATE TABLE table_72239 ("#" FLOAT, "Date" CLOB, "Visitor" CLOB, "Score" CLOB, "Home" CLOB, "Leading scorer" CLOB, "Attendance" CLOB, "Record" CLOB, "Streak" CLOB)
| what are all the records with a score is w 98 91 | SELECT "Record" FROM table_72239 WHERE "Score" = 'W 98–91' | SELECT "Record" FROM "table_72239" WHERE "Score" = 'W 98–91' | 0.058594 |
CREATE TABLE table_9495 ("Pick #" FLOAT, "CFL Team" CLOB, "Player" CLOB, "Position" CLOB, "College" CLOB)
| What position does a Keith Shologan, who was picked higher than 6, play? | SELECT "Position" FROM table_9495 WHERE "Pick #" < '6' AND "Player" = 'keith shologan' | SELECT "Position" FROM "table_9495" WHERE "Pick #" < '6' AND "Player" = 'keith shologan' | 0.085938 |
CREATE TABLE table_47523 ("Week" FLOAT, "Date" CLOB, "Opponent" CLOB, "Result" CLOB, "Attendance" CLOB)
| What was the attendance for the game in Week 3? | SELECT "Attendance" FROM table_47523 WHERE "Week" = '3' | SELECT "Attendance" FROM "table_47523" WHERE "Week" = '3' | 0.055664 |
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
| count the number of patients whose admission year is less than 2105? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.admityear < "2105" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "2105" > "demographic"."admityear" | 0.106445 |
CREATE TABLE table_name_56 (attendance NUMBER, home VARCHAR2)
| What was the highest attendance for the Hispano team? | SELECT MAX(attendance) FROM table_name_56 WHERE home = "hispano" | SELECT MAX("attendance") FROM "table_name_56" WHERE "hispano" = "home" | 0.068359 |
CREATE TABLE wrestler (Wrestler_ID NUMBER, Name CLOB, Reign CLOB, Days_held CLOB, Location CLOB, Event CLOB)
CREATE TABLE Elimination (Elimination_ID CLOB, Wrestler_ID CLOB, Team CLOB, Eliminated_By CLOB, Elimination_Move CLOB, Time CLOB)
| Show me the proportion on how many eliminations did each team have? | SELECT Team, COUNT(*) FROM Elimination GROUP BY Team | SELECT "Team", COUNT(*) FROM "Elimination" GROUP BY "Team" | 0.056641 |
CREATE TABLE table_name_92 (date VARCHAR2, opponent_in_the_final VARCHAR2)
| What date has kimberly po nathalie tauziat as the opponent in the final? | SELECT date FROM table_name_92 WHERE opponent_in_the_final = "kimberly po nathalie tauziat" | SELECT "date" FROM "table_name_92" WHERE "kimberly po nathalie tauziat" = "opponent_in_the_final" | 0.094727 |
CREATE TABLE table_name_63 (date VARCHAR2, competition VARCHAR2, result VARCHAR2)
| On What Date is the Competition Semifinal that has a result of 2-1 aet? | SELECT date FROM table_name_63 WHERE competition = "semifinal" AND result = "2-1 aet" | SELECT "date" FROM "table_name_63" WHERE "2-1 aet" = "result" AND "competition" = "semifinal" | 0.09082 |
CREATE TABLE table_name_15 (silver NUMBER, nation VARCHAR2)
| How many silver medals does Cuba have? | SELECT SUM(silver) FROM table_name_15 WHERE nation = "cuba" | SELECT SUM("silver") FROM "table_name_15" WHERE "cuba" = "nation" | 0.063477 |
CREATE TABLE table_name_21 (lane NUMBER, name VARCHAR2)
| What is Elizabeth Simmonds' average lane number? | SELECT AVG(lane) FROM table_name_21 WHERE name = "elizabeth simmonds" | SELECT AVG("lane") FROM "table_name_21" WHERE "elizabeth simmonds" = "name" | 0.073242 |
CREATE TABLE table_104 ("Name of lava dome" CLOB, "Country" CLOB, "Volcanic area" CLOB, "Composition" CLOB, "Last eruption or growth episode" CLOB)
| What is the composition at Valles lava dome? | SELECT "Composition" FROM table_104 WHERE "Name of lava dome" = 'Valles lava dome' | SELECT "Composition" FROM "table_104" WHERE "Name of lava dome" = 'Valles lava dome' | 0.082031 |
CREATE TABLE table_39749 ("Year" CLOB, "Total" FLOAT, "Wins" FLOAT, "Losses" FLOAT, "No result" FLOAT, "% Win" CLOB)
| What is the smallest no result when the year was 2012 and there were more than 10 wins? | SELECT MIN("No result") FROM table_39749 WHERE "Year" = '2012' AND "Wins" > '10' | SELECT MIN("No result") FROM "table_39749" WHERE "Wins" > '10' AND "Year" = '2012' | 0.080078 |
CREATE TABLE table_26327 ("Episode number Production number" CLOB, "Title" CLOB, "Original airing" CLOB, "Rating" CLOB, "Share" FLOAT, "Rating/share ( 18\\u201349 ) " CLOB, "Total viewers ( in millions ) " CLOB)
| What episode had 10.47 total viewers? | SELECT "Title" FROM table_26327 WHERE "Total viewers (in millions)" = '10.47' | SELECT "Title" FROM "table_26327" WHERE "Total viewers (in millions)" = '10.47' | 0.077148 |
CREATE TABLE Manufacturers (Code NUMBER, Name VARCHAR2, Headquarter VARCHAR2, Founder VARCHAR2, Revenue FLOAT)
CREATE TABLE Products (Code NUMBER, Name VARCHAR2, Price NUMBER, Manufacturer NUMBER)
| For those records from the products and each product's manufacturer, a bar chart shows the distribution of headquarter and the average of price , and group by attribute headquarter, could you order by the total number in ascending? | SELECT Headquarter, AVG(Price) FROM Products AS T1 JOIN Manufacturers AS T2 ON T1.Manufacturer = T2.Code GROUP BY Headquarter ORDER BY AVG(Price) | SELECT "Headquarter", AVG("Price") FROM "Products" "T1" JOIN "Manufacturers" "T2" ON "T1"."Manufacturer" = "T2"."Code" GROUP BY "Headquarter" ORDER BY AVG("Price") | 0.15918 |
CREATE TABLE d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
CREATE TABLE patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
CREATE TABLE d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
CREATE TABLE transfers (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, eventtype CLOB, careunit CLOB, wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE icustays (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, first_careunit CLOB, last_careunit CLOB, first_wardid NUMBER, last_wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom 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 outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
CREATE TABLE cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
CREATE TABLE diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE 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 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)
| since 1 year ago, for male patients aged 30s, what are the three most frequent drugs prescribed within 2 months after they have been diagnosed with pneumonia, organism nos? | SELECT t3.drug FROM (SELECT t2.drug, DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS c1 FROM (SELECT admissions.subject_id, diagnoses_icd.charttime FROM diagnoses_icd JOIN admissions ON diagnoses_icd.hadm_id = admissions.hadm_id WHERE diagnoses_icd.icd9_code = (SELECT d_icd_diagnoses.icd9_code FROM d_icd_diagnoses WHERE d_icd_diagnoses.short_title = 'pneumonia, organism nos') AND DATETIME(diagnoses_icd.charttime) >= DATETIME(CURRENT_TIME(), '-1 year')) AS t1 JOIN (SELECT admissions.subject_id, prescriptions.drug, prescriptions.startdate FROM prescriptions JOIN admissions ON prescriptions.hadm_id = admissions.hadm_id WHERE admissions.subject_id IN (SELECT patients.subject_id FROM patients WHERE patients.gender = 'm') AND admissions.age BETWEEN 30 AND 39 AND DATETIME(prescriptions.startdate) >= DATETIME(CURRENT_TIME(), '-1 year')) AS t2 ON t1.subject_id = t2.subject_id WHERE t1.charttime < t2.startdate AND DATETIME(t2.startdate) BETWEEN DATETIME(t1.charttime) AND DATETIME(t1.charttime, '+2 month') GROUP BY t2.drug) AS t3 WHERE t3.c1 <= 3 | WITH "_u_1" AS (SELECT "patients"."subject_id" FROM "patients" WHERE "patients"."gender" = 'm' GROUP BY "subject_id"), "t2" AS (SELECT "admissions"."subject_id", "prescriptions"."drug", "prescriptions"."startdate" FROM "prescriptions" JOIN "admissions" ON "admissions"."age" <= 39 AND "admissions"."age" >= 30 AND "admissions"."hadm_id" = "prescriptions"."hadm_id" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "admissions"."subject_id" WHERE DATETIME("prescriptions"."startdate") >= DATETIME(CURRENT_TIME(), '-1 year') AND NOT "_u_1"."" IS NULL), "t3" AS (SELECT "t2"."drug", DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS "c1" FROM "diagnoses_icd" JOIN "d_icd_diagnoses" ON "d_icd_diagnoses"."icd9_code" = "diagnoses_icd"."icd9_code" AND "d_icd_diagnoses"."short_title" = 'pneumonia, organism nos' JOIN "admissions" ON "admissions"."hadm_id" = "diagnoses_icd"."hadm_id" JOIN "t2" "t2" ON "admissions"."subject_id" = "t2"."subject_id" AND "diagnoses_icd"."charttime" < "t2"."startdate" AND DATETIME("diagnoses_icd"."charttime") <= DATETIME("t2"."startdate") AND DATETIME("diagnoses_icd"."charttime", '+2 month') >= DATETIME("t2"."startdate") WHERE DATETIME("diagnoses_icd"."charttime") >= DATETIME(CURRENT_TIME(), '-1 year') GROUP BY "t2"."drug") SELECT "t3"."drug" FROM "t3" "t3" WHERE "t3"."c1" <= 3 | 1.263672 |
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