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CREATE TABLE table_37893 ("Date" CLOB, "Round" CLOB, "Opponents" CLOB, "H / A" CLOB, "Result F \\u2013 A" CLOB)
| When did the game in whalley range take place? | SELECT "Date" FROM table_37893 WHERE "H / A" = 'whalley range' | SELECT "Date" FROM "table_37893" WHERE "H / A" = 'whalley range' | 0.0625 |
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 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 Comments (Id NUMBER, PostId NUMBER, Score NUMBER, Text CLOB, CreationDate TIME, UserDisplayName CLOB, UserId NUMBER, ContentLicense CLOB)
CREATE TABLE FlagTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE ReviewTaskTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE 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 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 ReviewTaskResultTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostTags (PostId NUMBER, TagId NUMBER)
CREATE TABLE PostHistory (Id NUMBER, PostHistoryTypeId NUMBER, PostId NUMBER, RevisionGUID other, CreationDate TIME, UserId NUMBER, UserDisplayName CLOB, Comment CLOB, Text CLOB, ContentLicense CLOB)
CREATE TABLE 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 PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
CREATE TABLE ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
CREATE TABLE CloseReasonTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE SuggestedEdits (Id NUMBER, PostId NUMBER, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId NUMBER, Comment CLOB, Text CLOB, Title CLOB, Tags CLOB, RevisionGUID other)
CREATE TABLE Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
CREATE TABLE PostTypes (Id NUMBER, Name CLOB)
CREATE TABLE ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment CLOB)
CREATE TABLE TagSynonyms (Id NUMBER, SourceTagName CLOB, TargetTagName CLOB, CreationDate TIME, OwnerUserId NUMBER, AutoRenameCount NUMBER, LastAutoRename TIME, Score NUMBER, ApprovedByUserId NUMBER, ApprovalDate TIME)
CREATE TABLE PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
CREATE TABLE Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount NUMBER)
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 PendingFlags (Id NUMBER, FlagTypeId NUMBER, PostId NUMBER, CreationDate TIME, CloseReasonTypeId NUMBER, CloseAsOffTopicReasonTypeId NUMBER, DuplicateOfQuestionId NUMBER, BelongsOnBaseHostAddress CLOB)
CREATE TABLE ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId NUMBER)
| Count questions by Year for andriod testing Tag. | SELECT COUNT(P.Id) AS Posts, YEAR(P.CreationDate) AS Year_Data FROM Posts AS P WHERE P.Tags LIKE '%android-testing%' GROUP BY YEAR(P.CreationDate) | SELECT COUNT("P"."Id") AS "Posts", YEAR("P"."CreationDate") AS "Year_Data" FROM "Posts" "P" WHERE "P"."Tags" LIKE '%android-testing%' GROUP BY YEAR("P"."CreationDate") | 0.163086 |
CREATE TABLE table_name_95 (date VARCHAR2, record VARCHAR2)
| What was the date of the game where the indians record was 37-44? | SELECT date FROM table_name_95 WHERE record = "37-44" | SELECT "date" FROM "table_name_95" WHERE "37-44" = "record" | 0.057617 |
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 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)
| give me the number of patients whose ethnicity is black/cape verdean and primary disease is s/p fall? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.ethnicity = "BLACK/CAPE VERDEAN" AND demographic.diagnosis = "S/P FALL" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "BLACK/CAPE VERDEAN" = "demographic"."ethnicity" AND "S/P FALL" = "demographic"."diagnosis" | 0.162109 |
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)
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 month (month_number NUMBER, month_name CLOB)
CREATE TABLE food_service (meal_code CLOB, meal_number NUMBER, compartment CLOB, meal_description VARCHAR2)
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 time_zone (time_zone_code CLOB, time_zone_name CLOB, hours_from_gmt NUMBER)
CREATE TABLE ground_service (city_code CLOB, airport_code CLOB, transport_type CLOB, ground_fare NUMBER)
CREATE TABLE city (city_code VARCHAR2, city_name VARCHAR2, state_code VARCHAR2, country_name VARCHAR2, time_zone_code VARCHAR2)
CREATE TABLE state (state_code CLOB, state_name CLOB, country_name CLOB)
CREATE TABLE date_day (month_number NUMBER, day_number NUMBER, year NUMBER, day_name VARCHAR2)
CREATE TABLE class_of_service (booking_class VARCHAR2, rank NUMBER, class_description CLOB)
CREATE TABLE compartment_class (compartment VARCHAR2, class_type VARCHAR2)
CREATE TABLE restriction (restriction_code CLOB, advance_purchase NUMBER, stopovers CLOB, saturday_stay_required CLOB, minimum_stay NUMBER, maximum_stay NUMBER, application CLOB, no_discounts CLOB)
CREATE TABLE code_description (code VARCHAR2, description CLOB)
CREATE TABLE equipment_sequence (aircraft_code_sequence VARCHAR2, aircraft_code 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 days (days_code VARCHAR2, day_name VARCHAR2)
CREATE TABLE airline (airline_code VARCHAR2, airline_name CLOB, note CLOB)
CREATE TABLE dual_carrier (main_airline VARCHAR2, low_flight_number NUMBER, high_flight_number NUMBER, dual_airline VARCHAR2, service_name CLOB)
CREATE TABLE 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 airport_service (city_code VARCHAR2, airport_code VARCHAR2, miles_distant NUMBER, direction VARCHAR2, minutes_distant NUMBER)
CREATE TABLE fare_basis (fare_basis_code CLOB, booking_class CLOB, class_type CLOB, premium CLOB, economy CLOB, discounted CLOB, night CLOB, season CLOB, basis_days CLOB)
| okay on monday may thirty first i'd like to go from SAN DIEGO to PHOENIX early in the morning | SELECT DISTINCT flight.flight_id FROM airport_service AS AIRPORT_SERVICE_0, airport_service AS AIRPORT_SERVICE_1, city AS CITY_0, city AS CITY_1, date_day, days, flight WHERE ((CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'PHOENIX' AND date_day.day_number = 21 AND date_day.month_number = 2 AND date_day.year = 1991 AND days.day_name = date_day.day_name AND flight.flight_days = days.days_code AND flight.to_airport = AIRPORT_SERVICE_1.airport_code) AND CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'SAN DIEGO' AND flight.from_airport = AIRPORT_SERVICE_0.airport_code) AND flight.departure_time BETWEEN 0 AND 800 | SELECT DISTINCT "flight"."flight_id" FROM "airport_service" "AIRPORT_SERVICE_0" JOIN "date_day" ON "date_day"."day_number" = 21 AND "date_day"."month_number" = 2 AND "date_day"."year" = 1991 JOIN "city" "CITY_0" ON "AIRPORT_SERVICE_0"."city_code" = "CITY_0"."city_code" AND "CITY_0"."city_name" = 'SAN DIEGO' JOIN "days" ON "date_day"."day_name" = "days"."day_name" JOIN "flight" ON "AIRPORT_SERVICE_0"."airport_code" = "flight"."from_airport" AND "days"."days_code" = "flight"."flight_days" AND "flight"."departure_time" <= 800 AND "flight"."departure_time" >= 0 JOIN "airport_service" "AIRPORT_SERVICE_1" ON "AIRPORT_SERVICE_1"."airport_code" = "flight"."to_airport" JOIN "city" "CITY_1" ON "AIRPORT_SERVICE_1"."city_code" = "CITY_1"."city_code" AND "CITY_1"."city_name" = 'PHOENIX' | 0.765625 |
CREATE TABLE table_2668264_22 (party VARCHAR2, incumbent VARCHAR2)
| What party does joel r. poinsett represent? | SELECT party FROM table_2668264_22 WHERE incumbent = "Joel R. Poinsett" | SELECT "party" FROM "table_2668264_22" WHERE "Joel R. Poinsett" = "incumbent" | 0.075195 |
CREATE TABLE procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
CREATE TABLE 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 cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE admissions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, admittime TIME, dischtime TIME, admission_type CLOB, admission_location CLOB, discharge_location CLOB, insurance CLOB, language CLOB, marital_status CLOB, ethnicity CLOB, age NUMBER)
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
CREATE TABLE d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE prescriptions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, startdate TIME, enddate TIME, drug CLOB, dose_val_rx CLOB, dose_unit_rx CLOB, route CLOB)
CREATE TABLE patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
CREATE TABLE 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 diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE icustays (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, first_careunit CLOB, last_careunit CLOB, first_wardid NUMBER, last_wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
CREATE TABLE d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
CREATE TABLE microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
| on the current hospital encounter how many hours have passed since the first hypertension nos diagnosis of patient 14154? | SELECT 24 * (STRFTIME('%j', CURRENT_TIME()) - STRFTIME('%j', diagnoses_icd.charttime)) FROM diagnoses_icd WHERE diagnoses_icd.icd9_code = (SELECT d_icd_diagnoses.icd9_code FROM d_icd_diagnoses WHERE d_icd_diagnoses.short_title = 'hypertension nos') AND diagnoses_icd.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 14154 AND admissions.dischtime IS NULL) ORDER BY diagnoses_icd.charttime LIMIT 1 | WITH "_u_1" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."dischtime" IS NULL AND "admissions"."subject_id" = 14154 GROUP BY "hadm_id") SELECT 24 * (STRFTIME('%j', CURRENT_TIME()) - STRFTIME('%j', "diagnoses_icd"."charttime")) FROM "diagnoses_icd" JOIN "d_icd_diagnoses" ON "d_icd_diagnoses"."icd9_code" = "diagnoses_icd"."icd9_code" AND "d_icd_diagnoses"."short_title" = 'hypertension nos' LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "diagnoses_icd"."hadm_id" WHERE NOT "_u_1"."" IS NULL ORDER BY "diagnoses_icd"."charttime" FETCH FIRST 1 ROWS ONLY | 0.555664 |
CREATE TABLE table_45009 ("Position" FLOAT, "Name" CLOB, "Played" FLOAT, "Drawn" FLOAT, "Lost" FLOAT, "Points" FLOAT)
| How many games were played by the team with 2 draws, less than 16 points and a position higher than 5? | SELECT COUNT("Played") FROM table_45009 WHERE "Drawn" = '2' AND "Points" < '16' AND "Position" > '5' | SELECT COUNT("Played") FROM "table_45009" WHERE "Drawn" = '2' AND "Points" < '16' AND "Position" > '5' | 0.099609 |
CREATE TABLE table_18564 ("District" CLOB, "Incumbent" CLOB, "Party" CLOB, "First elected" FLOAT, "Result" CLOB, "Candidates" CLOB)
| Which district is associated with the incumbent Carl Vinson? | SELECT "Candidates" FROM table_18564 WHERE "Incumbent" = 'Carl Vinson' | SELECT "Candidates" FROM "table_18564" WHERE "Incumbent" = 'Carl Vinson' | 0.070313 |
CREATE TABLE Rooms (RoomId CLOB, roomName CLOB, beds NUMBER, bedType CLOB, maxOccupancy NUMBER, basePrice NUMBER, decor CLOB)
CREATE TABLE Reservations (Code NUMBER, Room CLOB, CheckIn CLOB, CheckOut CLOB, Rate FLOAT, LastName CLOB, FirstName CLOB, Adults NUMBER, Kids NUMBER)
| Return a bar chart on what are the number of rooms for each bed type? | SELECT bedType, COUNT(*) FROM Rooms GROUP BY bedType | SELECT "bedType", COUNT(*) FROM "Rooms" GROUP BY "bedType" | 0.056641 |
CREATE TABLE table_204_841 (id NUMBER, "no." NUMBER, "temple" CLOB, "honzon ( main image ) " CLOB, "city/town/village" CLOB, "prefecture" CLOB)
| how many temples are in takamatsu ? | SELECT COUNT("temple") FROM table_204_841 WHERE "city/town/village" = 'takamatsu' | SELECT COUNT("temple") FROM "table_204_841" WHERE "city/town/village" = 'takamatsu' | 0.081055 |
CREATE TABLE table_57879 ("Mall name" CLOB, "Location" CLOB, "Retail space Sq. feet/ ( m\\u00b2 ) " CLOB, "Stores" CLOB, "Year opened" FLOAT)
| What is the retail space of the Stony Point Fashion Park Mall? | SELECT "Retail space Sq. feet/(m\u00b2)" FROM table_57879 WHERE "Mall name" = 'stony point fashion park' | SELECT "Retail space Sq. feet/(m\u00b2)" FROM "table_57879" WHERE "Mall name" = 'stony point fashion park' | 0.103516 |
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
| find out the minimum age of black/cape verdean ethnic background patients who stayed in the hospital for 10 days. | SELECT MIN(demographic.age) FROM demographic WHERE demographic.ethnicity = "BLACK/CAPE VERDEAN" AND demographic.days_stay = "10" | SELECT MIN("demographic"."age") FROM "demographic" WHERE "10" = "demographic"."days_stay" AND "BLACK/CAPE VERDEAN" = "demographic"."ethnicity" | 0.138672 |
CREATE TABLE table_68999 ("Engine code" CLOB, "Displacement" CLOB, "Power , Torque@rpm" CLOB, "Redline ( rpm ) " FLOAT, "Year" FLOAT)
| What is the displacement of the engine that has a Redline rpm higher than 4750, from 2005? | SELECT "Displacement" FROM table_68999 WHERE "Redline (rpm)" > '4750' AND "Year" = '2005' | SELECT "Displacement" FROM "table_68999" WHERE "Redline (rpm)" > '4750' AND "Year" = '2005' | 0.088867 |
CREATE TABLE table_76648 ("Target/Approach" CLOB, "Candidate Name" CLOB, "Trial Phase" CLOB, "Trial Start Date" CLOB, "Expected End Date" CLOB)
| What is Expected End Date, when Trial Start Date is Nov 2007? | SELECT "Expected End Date" FROM table_76648 WHERE "Trial Start Date" = 'nov 2007' | SELECT "Expected End Date" FROM "table_76648" WHERE "Trial Start Date" = 'nov 2007' | 0.081055 |
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
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 d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto 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 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 outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value 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 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 cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE d_icd_diagnoses (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 procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime 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 transfers (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, eventtype CLOB, careunit CLOB, wardid NUMBER, intime TIME, outtime TIME)
| in this year patient 3097 has been admitted to the hospital? | SELECT COUNT(*) > 0 FROM admissions WHERE admissions.subject_id = 3097 AND DATETIME(admissions.admittime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-0 year') | SELECT COUNT(*) > 0 FROM "admissions" WHERE "admissions"."subject_id" = 3097 AND DATETIME("admissions"."admittime", 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-0 year') | 0.182617 |
CREATE TABLE table_train_46 ("id" NUMBER, "bleeding" NUMBER, "active_infection" BOOLEAN, "hypotension" BOOLEAN, "burn_injury" NUMBER, "hypertension" BOOLEAN, "age" FLOAT, "NOUSE" FLOAT)
| intracranial bleed or intracranial hypertension during the index hospital admission | SELECT * FROM table_train_46 WHERE bleeding = 1 OR hypertension = 1 | SELECT * FROM "table_train_46" WHERE "bleeding" = 1 OR "hypertension" = 1 | 0.071289 |
CREATE TABLE gymnast (Id VARCHAR2)
| How many gymnasts are there? | SELECT COUNT(*) FROM gymnast | SELECT COUNT(*) FROM "gymnast" | 0.029297 |
CREATE TABLE table_14931 ("Date" CLOB, "Opponent" CLOB, "Score" CLOB, "Loss" CLOB, "Attendance" FLOAT, "Record" CLOB)
| Who was the opponent of the game that 31,293 people attended that had a final score of 9 - 6. | SELECT "Opponent" FROM table_14931 WHERE "Score" = '9 - 6' AND "Attendance" > '31,293' | SELECT "Opponent" FROM "table_14931" WHERE "Attendance" > '31,293' AND "Score" = '9 - 6' | 0.085938 |
CREATE TABLE table_203_710 (id NUMBER, "genre" CLOB, "year" NUMBER, "title" CLOB, "episode" CLOB, "role" CLOB, "notes" CLOB)
| the movie after the ref | SELECT "title" FROM table_203_710 WHERE id = (SELECT id FROM table_203_710 WHERE "title" = 'the ref') + 1 | SELECT "title" FROM "table_203_710" WHERE "id" = (SELECT "id" FROM "table_203_710" WHERE "title" = 'the ref') + 1 | 0.110352 |
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE 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)
| How many patients categorized under a hematology lab test stayed in hospital for more than 4 days? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.days_stay > "4" 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" WHERE "4" < "demographic"."days_stay" | 0.193359 |
CREATE TABLE table_name_18 (lost NUMBER, drawn NUMBER)
| What is the lowest lost from drawn of 1 or greater? | SELECT MIN(lost) FROM table_name_18 WHERE drawn > 1 | SELECT MIN("lost") FROM "table_name_18" WHERE "drawn" > 1 | 0.055664 |
CREATE TABLE table_9493 ("Pick #" FLOAT, "CFL Team" CLOB, "Player" CLOB, "Position" CLOB, "College" CLOB)
| Which team picked a player(s) from South Carolina? | SELECT "CFL Team" FROM table_9493 WHERE "College" = 'south carolina' | SELECT "CFL Team" FROM "table_9493" WHERE "College" = 'south carolina' | 0.068359 |
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 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 PostTags (PostId NUMBER, TagId NUMBER)
CREATE TABLE Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
CREATE TABLE CloseReasonTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE TagSynonyms (Id NUMBER, SourceTagName CLOB, TargetTagName CLOB, CreationDate TIME, OwnerUserId NUMBER, AutoRenameCount NUMBER, LastAutoRename TIME, Score NUMBER, ApprovedByUserId NUMBER, ApprovalDate TIME)
CREATE TABLE PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId NUMBER)
CREATE TABLE Posts (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment CLOB)
CREATE TABLE 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 ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
CREATE TABLE PostTypes (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 PendingFlags (Id NUMBER, FlagTypeId NUMBER, PostId NUMBER, CreationDate TIME, CloseReasonTypeId NUMBER, CloseAsOffTopicReasonTypeId NUMBER, DuplicateOfQuestionId NUMBER, BelongsOnBaseHostAddress CLOB)
CREATE TABLE Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount 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 ReviewTaskTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostHistory (Id NUMBER, PostHistoryTypeId NUMBER, PostId NUMBER, RevisionGUID other, CreationDate TIME, UserId NUMBER, UserDisplayName CLOB, Comment CLOB, Text CLOB, ContentLicense CLOB)
CREATE TABLE Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
CREATE TABLE ReviewTaskStates (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId NUMBER)
CREATE TABLE PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
CREATE TABLE Comments (Id NUMBER, PostId NUMBER, Score NUMBER, Text CLOB, CreationDate TIME, UserDisplayName CLOB, UserId NUMBER, ContentLicense CLOB)
CREATE TABLE SuggestedEditVotes (Id NUMBER, SuggestedEditId NUMBER, UserId NUMBER, VoteTypeId NUMBER, CreationDate TIME, TargetUserId NUMBER, TargetRepChange NUMBER)
CREATE TABLE VoteTypes (Id NUMBER, Name 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)
| Number of new Users per weekday.. | SELECT TIME_TO_STR(CreationDate, '%W') AS "day_of_week", COUNT(*) AS "number_of_new_users" FROM Users GROUP BY TIME_TO_STR(CreationDate, '%W') ORDER BY 'day_of_week' | SELECT TO_CHAR("CreationDate", 'WW') AS "day_of_week", COUNT(*) AS "number_of_new_users" FROM "Users" GROUP BY TO_CHAR("CreationDate", 'WW') ORDER BY 'day_of_week' | 0.15918 |
CREATE TABLE table_15573 ("Date" CLOB, "Visiting Team" CLOB, "Final Score" CLOB, "Host Team" CLOB, "Stadium" CLOB)
| Who was the host team on November 17? | SELECT "Host Team" FROM table_15573 WHERE "Date" = 'november 17' | SELECT "Host Team" FROM "table_15573" WHERE "Date" = 'november 17' | 0.064453 |
CREATE TABLE table_53925 ("Year" FLOAT, "Network" CLOB, "Lap-by-lap" CLOB, "Pit reporters" CLOB, "Host" CLOB)
| What network has lap-by-laps by Bill Flemming, and Pit reporter Chris Economaki? | SELECT "Network" FROM table_53925 WHERE "Lap-by-lap" = 'bill flemming' AND "Pit reporters" = 'chris economaki' | SELECT "Network" FROM "table_53925" WHERE "Lap-by-lap" = 'bill flemming' AND "Pit reporters" = 'chris economaki' | 0.109375 |
CREATE TABLE ReviewTaskStates (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
CREATE TABLE PendingFlags (Id NUMBER, FlagTypeId NUMBER, PostId NUMBER, CreationDate TIME, CloseReasonTypeId NUMBER, CloseAsOffTopicReasonTypeId NUMBER, DuplicateOfQuestionId NUMBER, BelongsOnBaseHostAddress CLOB)
CREATE TABLE Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount 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 ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
CREATE TABLE Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
CREATE TABLE ReviewTaskTypes (Id NUMBER, Name CLOB, Description CLOB)
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 PostHistoryTypes (Id NUMBER, Name CLOB)
CREATE TABLE Posts (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment CLOB)
CREATE TABLE PostTags (PostId NUMBER, TagId NUMBER)
CREATE TABLE VoteTypes (Id NUMBER, Name CLOB)
CREATE TABLE SuggestedEditVotes (Id NUMBER, SuggestedEditId NUMBER, UserId NUMBER, VoteTypeId NUMBER, CreationDate TIME, TargetUserId NUMBER, TargetRepChange NUMBER)
CREATE TABLE Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
CREATE TABLE PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId NUMBER)
CREATE TABLE PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId NUMBER)
CREATE TABLE PostsWithDeleted (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE ReviewTaskResultTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE TagSynonyms (Id NUMBER, SourceTagName CLOB, TargetTagName CLOB, CreationDate TIME, OwnerUserId NUMBER, AutoRenameCount NUMBER, LastAutoRename TIME, Score NUMBER, ApprovedByUserId NUMBER, ApprovalDate TIME)
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 PostTypes (Id NUMBER, Name CLOB)
CREATE TABLE PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
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 CloseReasonTypes (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)
| High-rep users with only 2 posts. | SELECT 'site://users/' + CAST(u.Id AS TEXT) + '|' + CAST(u.DisplayName AS TEXT) AS "user", u.Reputation, COUNT(p.Id) FROM Users AS u, Posts AS p WHERE u.Reputation > 10000 AND u.Id = p.OwnerUserId AND (p.PostTypeId = 1 OR p.PostTypeId = 2) GROUP BY u.Id, u.DisplayName, u.Reputation HAVING COUNT(p.Id) = 2 ORDER BY u.Reputation DESC | SELECT CONCAT(CONCAT(CONCAT('site://users/', CAST("u"."Id" AS CLOB)), '|'), CAST("u"."DisplayName" AS CLOB)) AS "user", "u"."Reputation", COUNT("p"."Id") FROM "Users" "u" JOIN "Posts" "p" ON "p"."OwnerUserId" = "u"."Id" AND ("p"."PostTypeId" = 1 OR "p"."PostTypeId" = 2) WHERE "u"."Reputation" > 10000 GROUP BY "u"."Id", "u"."DisplayName", "u"."Reputation" HAVING COUNT("p"."Id") = 2 ORDER BY "u"."Reputation" DESC | 0.404297 |
CREATE TABLE table_11691 ("Outcome" CLOB, "Date" CLOB, "Tournament" CLOB, "Surface" CLOB, "Opponent in the final" CLOB, "Score in the final" CLOB)
| Which tournament has raffaella reggi listed as the opponent in the final? | SELECT "Tournament" FROM table_11691 WHERE "Opponent in the final" = 'raffaella reggi' | SELECT "Tournament" FROM "table_11691" WHERE "Opponent in the final" = 'raffaella reggi' | 0.085938 |
CREATE TABLE Has_Allergy (StuID NUMBER, Allergy VARCHAR2)
CREATE TABLE Student (StuID NUMBER, LName VARCHAR2, Fname VARCHAR2, Age NUMBER, Sex VARCHAR2, Major NUMBER, Advisor NUMBER, city_code VARCHAR2)
CREATE TABLE Allergy_Type (Allergy VARCHAR2, AllergyType VARCHAR2)
| What are the average ages for male and female students. | SELECT Sex, AVG(Age) FROM Student GROUP BY Sex | SELECT "Sex", AVG("Age") FROM "Student" GROUP BY "Sex" | 0.052734 |
CREATE TABLE jobs (JOB_ID VARCHAR2, JOB_TITLE VARCHAR2, MIN_SALARY NUMBER, MAX_SALARY NUMBER)
CREATE TABLE regions (REGION_ID NUMBER, REGION_NAME VARCHAR2)
CREATE TABLE job_history (EMPLOYEE_ID NUMBER, START_DATE DATE, END_DATE DATE, JOB_ID VARCHAR2, DEPARTMENT_ID NUMBER)
CREATE TABLE countries (COUNTRY_ID VARCHAR2, COUNTRY_NAME VARCHAR2, REGION_ID NUMBER)
CREATE TABLE employees (EMPLOYEE_ID NUMBER, FIRST_NAME VARCHAR2, LAST_NAME VARCHAR2, EMAIL VARCHAR2, PHONE_NUMBER VARCHAR2, HIRE_DATE DATE, JOB_ID VARCHAR2, SALARY NUMBER, COMMISSION_PCT NUMBER, MANAGER_ID NUMBER, DEPARTMENT_ID NUMBER)
CREATE TABLE departments (DEPARTMENT_ID NUMBER, DEPARTMENT_NAME VARCHAR2, MANAGER_ID NUMBER, LOCATION_ID NUMBER)
CREATE TABLE locations (LOCATION_ID NUMBER, STREET_ADDRESS VARCHAR2, POSTAL_CODE VARCHAR2, CITY VARCHAR2, STATE_PROVINCE VARCHAR2, COUNTRY_ID VARCHAR2)
| For those employees who do not work in departments with managers that have ids between 100 and 200, return a line chart about the change of employee_id over hire_date , and rank from high to low by the HIRE_DATE. | SELECT HIRE_DATE, EMPLOYEE_ID FROM employees WHERE NOT DEPARTMENT_ID IN (SELECT DEPARTMENT_ID FROM departments WHERE MANAGER_ID BETWEEN 100 AND 200) ORDER BY HIRE_DATE DESC | SELECT "HIRE_DATE", "EMPLOYEE_ID" FROM "employees" WHERE NOT "DEPARTMENT_ID" IN (SELECT "DEPARTMENT_ID" FROM "departments" WHERE "MANAGER_ID" <= 200 AND "MANAGER_ID" >= 100) ORDER BY "HIRE_DATE" DESC | 0.194336 |
CREATE TABLE royal_family (royal_family_id NUMBER, royal_family_details CLOB)
CREATE TABLE visits (visit_id NUMBER, tourist_attraction_id NUMBER, tourist_id NUMBER, visit_date TIME, visit_details CLOB)
CREATE TABLE locations (location_id NUMBER, location_name CLOB, address CLOB, other_details CLOB)
CREATE TABLE staff (staff_id NUMBER, tourist_attraction_id NUMBER, name CLOB, other_details CLOB)
CREATE TABLE hotels (hotel_id NUMBER, star_rating_code CLOB, pets_allowed_yn CLOB, price_range NUMBER, other_hotel_details CLOB)
CREATE TABLE street_markets (market_id NUMBER, market_details CLOB)
CREATE TABLE shops (shop_id NUMBER, shop_details CLOB)
CREATE TABLE museums (museum_id NUMBER, museum_details CLOB)
CREATE TABLE photos (photo_id NUMBER, tourist_attraction_id NUMBER, name CLOB, description CLOB, filename CLOB, other_details CLOB)
CREATE TABLE visitors (tourist_id NUMBER, tourist_details CLOB)
CREATE TABLE tourist_attractions (tourist_attraction_id NUMBER, attraction_type_code CLOB, location_id NUMBER, how_to_get_there CLOB, name CLOB, description CLOB, opening_hours CLOB, other_details CLOB)
CREATE TABLE ref_attraction_types (attraction_type_code CLOB, attraction_type_description CLOB)
CREATE TABLE features (feature_id NUMBER, feature_details CLOB)
CREATE TABLE ref_hotel_star_ratings (star_rating_code CLOB, star_rating_description CLOB)
CREATE TABLE tourist_attraction_features (tourist_attraction_id NUMBER, feature_id NUMBER)
CREATE TABLE theme_parks (theme_park_id NUMBER, theme_park_details CLOB)
| Which transportation method is used the most often to get to tourist attractions? | SELECT how_to_get_there FROM tourist_attractions GROUP BY how_to_get_there ORDER BY COUNT(*) DESC LIMIT 1 | SELECT "how_to_get_there" FROM "tourist_attractions" GROUP BY "how_to_get_there" ORDER BY COUNT(*) DESC FETCH FIRST 1 ROWS ONLY | 0.124023 |
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE 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 lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
| how many female patients had pneumonia? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.gender = "F" AND demographic.diagnosis = "PNEUMONIA" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "F" = "demographic"."gender" AND "PNEUMONIA" = "demographic"."diagnosis" | 0.143555 |
CREATE TABLE table_79998 ("Year" FLOAT, "English title" CLOB, "Original title" CLOB, "Country" CLOB, "Director ( s ) " CLOB)
| What was the year of Meg ll az Id ? | SELECT "Year" FROM table_79998 WHERE "Original title" = 'megáll az idö' | SELECT "Year" FROM "table_79998" WHERE "Original title" = 'megáll az idö' | 0.071289 |
CREATE TABLE table_10780 ("Player" CLOB, "Height" CLOB, "School" CLOB, "Hometown" CLOB, "College" CLOB, "NBA Draft" CLOB)
| What college did the player from Ames High School attend? | SELECT "College" FROM table_10780 WHERE "School" = 'ames high school' | SELECT "College" FROM "table_10780" WHERE "School" = 'ames high school' | 0.069336 |
CREATE TABLE table_204_636 (id NUMBER, "season" CLOB, "tier" NUMBER, "division" CLOB, "pos." CLOB, "notes" CLOB)
| which tier appears the most ? | SELECT "tier" FROM table_204_636 GROUP BY "tier" ORDER BY COUNT(*) DESC LIMIT 1 | SELECT "tier" FROM "table_204_636" GROUP BY "tier" ORDER BY COUNT(*) DESC FETCH FIRST 1 ROWS ONLY | 0.094727 |
CREATE TABLE Catalog_Contents_Additional_Attributes (catalog_entry_id NUMBER, catalog_level_number NUMBER, attribute_id NUMBER, attribute_value VARCHAR2)
CREATE TABLE Catalog_Contents (catalog_entry_id NUMBER, catalog_level_number NUMBER, parent_entry_id NUMBER, previous_entry_id NUMBER, next_entry_id NUMBER, catalog_entry_name VARCHAR2, product_stock_number VARCHAR2, price_in_dollars DOUBLE PRECISION, price_in_euros DOUBLE PRECISION, price_in_pounds DOUBLE PRECISION, capacity VARCHAR2, length VARCHAR2, height VARCHAR2, width VARCHAR2)
CREATE TABLE Catalogs (catalog_id NUMBER, catalog_name VARCHAR2, catalog_publisher VARCHAR2, date_of_publication DATETIME, date_of_latest_revision DATETIME)
CREATE TABLE Catalog_Structure (catalog_level_number NUMBER, catalog_id NUMBER, catalog_level_name VARCHAR2)
CREATE TABLE Attribute_Definitions (attribute_id NUMBER, attribute_name VARCHAR2, attribute_data_type VARCHAR2)
| Bar chart x axis date of latest revision y axis the number of date of latest revision | SELECT date_of_latest_revision, COUNT(date_of_latest_revision) FROM Catalogs | SELECT "date_of_latest_revision", COUNT("date_of_latest_revision") FROM "Catalogs" | 0.080078 |
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)
CREATE TABLE competition_result (Competition_ID NUMBER, Club_ID_1 NUMBER, Club_ID_2 NUMBER, Score CLOB)
CREATE TABLE competition (Competition_ID NUMBER, Year FLOAT, Competition_type CLOB, Country CLOB)
| How many competitions for each country?, and list in asc by the X-axis. | SELECT Country, COUNT(Country) FROM competition GROUP BY Country ORDER BY Country | SELECT "Country", COUNT("Country") FROM "competition" GROUP BY "Country" ORDER BY "Country" | 0.088867 |
CREATE TABLE table_77588 ("Year" FLOAT, "Utah Mr. Basketball" CLOB, "High school" CLOB, "Class" CLOB, "College" CLOB)
| Where did Tyler Haws, 2009 Utah Mr. Basketball, go to high school? | SELECT "High school" FROM table_77588 WHERE "Utah Mr. Basketball" = 'tyler haws' AND "Year" = '2009' | SELECT "High school" FROM "table_77588" WHERE "Utah Mr. Basketball" = 'tyler haws' AND "Year" = '2009' | 0.099609 |
CREATE TABLE table_41169 ("Date" CLOB, "Visitor" CLOB, "Score" CLOB, "Home" CLOB, "Leading scorer" CLOB, "Record" CLOB)
| Who was the leading scorer against the visiting team Bulls? | SELECT "Leading scorer" FROM table_41169 WHERE "Visitor" = 'bulls' | SELECT "Leading scorer" FROM "table_41169" WHERE "Visitor" = 'bulls' | 0.066406 |
CREATE TABLE table_name_13 (tournament VARCHAR2)
| What is the tournament with a 2006 value of A and a 2011 value of 1r? | SELECT tournament FROM table_name_13 WHERE 2006 = "a" AND 2011 = "1r" | SELECT "tournament" FROM "table_name_13" WHERE "1r" = 2011 AND "a" = 2006 | 0.071289 |
CREATE TABLE table_56632 ("Series" FLOAT, "Year" CLOB, "Winner" CLOB, "Runner-up" CLOB, "Third place" CLOB, "Fourth place" CLOB, "Fifth place" CLOB, "Sixth place" CLOB, "Host" CLOB)
| What series had Joan Tena in sixth place? | SELECT SUM("Series") FROM table_56632 WHERE "Sixth place" = 'joan tena' | SELECT SUM("Series") FROM "table_56632" WHERE "Sixth place" = 'joan tena' | 0.071289 |
CREATE TABLE time_interval (period CLOB, begin_time NUMBER, end_time NUMBER)
CREATE TABLE restriction (restriction_code CLOB, advance_purchase NUMBER, stopovers CLOB, saturday_stay_required CLOB, minimum_stay NUMBER, maximum_stay NUMBER, application CLOB, no_discounts CLOB)
CREATE TABLE airport_service (city_code VARCHAR2, airport_code VARCHAR2, miles_distant NUMBER, direction VARCHAR2, minutes_distant NUMBER)
CREATE TABLE dual_carrier (main_airline VARCHAR2, low_flight_number NUMBER, high_flight_number NUMBER, dual_airline VARCHAR2, service_name CLOB)
CREATE TABLE fare (fare_id NUMBER, from_airport VARCHAR2, to_airport VARCHAR2, fare_basis_code CLOB, fare_airline CLOB, restriction_code CLOB, one_direction_cost NUMBER, round_trip_cost NUMBER, round_trip_required VARCHAR2)
CREATE TABLE ground_service (city_code CLOB, airport_code CLOB, transport_type CLOB, ground_fare NUMBER)
CREATE TABLE month (month_number NUMBER, month_name CLOB)
CREATE TABLE flight_leg (flight_id NUMBER, leg_number NUMBER, leg_flight NUMBER)
CREATE TABLE 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 days (days_code VARCHAR2, 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 city (city_code VARCHAR2, city_name VARCHAR2, state_code VARCHAR2, country_name VARCHAR2, time_zone_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 time_zone (time_zone_code CLOB, time_zone_name CLOB, hours_from_gmt NUMBER)
CREATE TABLE code_description (code VARCHAR2, description CLOB)
CREATE TABLE date_day (month_number NUMBER, day_number NUMBER, year NUMBER, day_name VARCHAR2)
CREATE TABLE airline (airline_code VARCHAR2, airline_name CLOB, note CLOB)
CREATE TABLE compartment_class (compartment VARCHAR2, class_type VARCHAR2)
CREATE TABLE flight_stop (flight_id NUMBER, stop_number NUMBER, stop_days CLOB, stop_airport CLOB, arrival_time NUMBER, arrival_airline CLOB, arrival_flight_number NUMBER, departure_time NUMBER, departure_airline CLOB, departure_flight_number NUMBER, stop_time NUMBER)
CREATE TABLE 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 (airport_code VARCHAR2, airport_name CLOB, airport_location CLOB, state_code VARCHAR2, country_name VARCHAR2, time_zone_code VARCHAR2, minimum_connect_time NUMBER)
CREATE TABLE food_service (meal_code CLOB, meal_number NUMBER, compartment CLOB, meal_description VARCHAR2)
CREATE TABLE state (state_code CLOB, state_name CLOB, country_name CLOB)
CREATE TABLE flight_fare (flight_id NUMBER, fare_id NUMBER)
| i would like a flight between BOSTON and ATLANTA on any day at one in the afternoon | 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_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'ATLANTA' AND flight.departure_time = 1300 AND flight.to_airport = AIRPORT_SERVICE_1.airport_code) AND CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'BOSTON' 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" = 'BOSTON' JOIN "flight" ON "AIRPORT_SERVICE_0"."airport_code" = "flight"."from_airport" AND "flight"."departure_time" = 1300 JOIN "airport_service" "AIRPORT_SERVICE_1" ON "AIRPORT_SERVICE_1"."airport_code" = "flight"."to_airport" JOIN "city" "CITY_1" ON "AIRPORT_SERVICE_1"."city_code" = "CITY_1"."city_code" AND "CITY_1"."city_name" = 'ATLANTA' | 0.517578 |
CREATE TABLE gsi (course_offering_id NUMBER, student_id NUMBER)
CREATE TABLE requirement (requirement_id NUMBER, requirement VARCHAR2, college VARCHAR2)
CREATE TABLE offering_instructor (offering_instructor_id NUMBER, offering_id NUMBER, instructor_id NUMBER)
CREATE TABLE instructor (instructor_id NUMBER, name VARCHAR2, uniqname VARCHAR2)
CREATE TABLE area (course_id NUMBER, area VARCHAR2)
CREATE TABLE course_tags_count (course_id NUMBER, clear_grading NUMBER, pop_quiz NUMBER, group_projects NUMBER, inspirational NUMBER, long_lectures NUMBER, extra_credit NUMBER, few_tests NUMBER, good_feedback NUMBER, tough_tests NUMBER, heavy_papers NUMBER, cares_for_students NUMBER, heavy_assignments NUMBER, respected NUMBER, participation NUMBER, heavy_reading NUMBER, tough_grader NUMBER, hilarious NUMBER, would_take_again NUMBER, good_lecture NUMBER, no_skip NUMBER)
CREATE TABLE student (student_id NUMBER, lastname VARCHAR2, firstname VARCHAR2, program_id NUMBER, declare_major VARCHAR2, total_credit NUMBER, total_gpa FLOAT, entered_as VARCHAR2, admit_term NUMBER, predicted_graduation_semester NUMBER, degree VARCHAR2, minor VARCHAR2, internship VARCHAR2)
CREATE TABLE course_offering (offering_id NUMBER, course_id NUMBER, semester NUMBER, section_number NUMBER, start_time TIME, end_time TIME, monday VARCHAR2, tuesday VARCHAR2, wednesday VARCHAR2, thursday VARCHAR2, friday VARCHAR2, saturday VARCHAR2, sunday VARCHAR2, has_final_project VARCHAR2, has_final_exam VARCHAR2, textbook VARCHAR2, class_address VARCHAR2, allow_audit VARCHAR2)
CREATE TABLE course (course_id NUMBER, name VARCHAR2, department VARCHAR2, number VARCHAR2, credits VARCHAR2, advisory_requirement VARCHAR2, enforced_requirement VARCHAR2, description VARCHAR2, num_semesters NUMBER, num_enrolled NUMBER, has_discussion VARCHAR2, has_lab VARCHAR2, has_projects VARCHAR2, has_exams VARCHAR2, num_reviews NUMBER, clarity_score NUMBER, easiness_score NUMBER, helpfulness_score NUMBER)
CREATE TABLE jobs (job_id NUMBER, job_title VARCHAR2, description VARCHAR2, requirement VARCHAR2, city VARCHAR2, state VARCHAR2, country VARCHAR2, zip NUMBER)
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 semester (semester_id NUMBER, semester VARCHAR2, year NUMBER)
CREATE TABLE ta (campus_job_id NUMBER, student_id NUMBER, location VARCHAR2)
CREATE TABLE course_prerequisite (pre_course_id NUMBER, course_id NUMBER)
CREATE TABLE program_course (program_id NUMBER, course_id NUMBER, workload NUMBER, category VARCHAR2)
CREATE TABLE program_requirement (program_id NUMBER, category VARCHAR2, min_credit NUMBER, additional_req VARCHAR2)
CREATE TABLE comment_instructor (instructor_id NUMBER, student_id NUMBER, score NUMBER, comment_text VARCHAR2)
| Is there a 17 -credit course that is a 400 -level LING course ? | SELECT DISTINCT course.department, course.name, course.number FROM course INNER JOIN program_course ON program_course.course_id = course.course_id INNER JOIN course_offering ON course.course_id = course_offering.course_id INNER JOIN semester ON semester.semester_id = course_offering.semester WHERE program_course.category LIKE '%ULCS%' AND semester.semester = 'FA' AND semester.year = 2016 | SELECT DISTINCT "course"."department", "course"."name", "course"."number" FROM "course" JOIN "course_offering" ON "course"."course_id" = "course_offering"."course_id" JOIN "program_course" ON "course"."course_id" = "program_course"."course_id" AND "program_course"."category" LIKE '%ULCS%' JOIN "semester" ON "course_offering"."semester" = "semester"."semester_id" AND "semester"."semester" = 'FA' AND "semester"."year" = 2016 | 0.416016 |
CREATE TABLE table_61718 ("Romanised name" CLOB, "Chinese name" CLOB, "age at appointment" FLOAT, "Foreign nationality" CLOB, "Portfolio attachment" CLOB, "Govt salary" CLOB)
| What is the Romanised name of the Undersecretary with an education portfolio attachment? | SELECT "Romanised name" FROM table_61718 WHERE "Portfolio attachment" = 'education' | SELECT "Romanised name" FROM "table_61718" WHERE "Portfolio attachment" = 'education' | 0.083008 |
CREATE TABLE table_name_91 (school_club_team VARCHAR2, nationality VARCHAR2, player VARCHAR2)
| What is the School/Club Team with a nationality of United States for Arron Afflalo? | SELECT school_club_team FROM table_name_91 WHERE nationality = "united states" AND player = "arron afflalo" | SELECT "school_club_team" FROM "table_name_91" WHERE "arron afflalo" = "player" AND "nationality" = "united states" | 0.112305 |
CREATE TABLE treatment (treatmentid NUMBER, patientunitstayid NUMBER, treatmentname CLOB, treatmenttime TIME)
CREATE TABLE intakeoutput (intakeoutputid NUMBER, patientunitstayid NUMBER, cellpath CLOB, celllabel CLOB, cellvaluenumeric NUMBER, intakeoutputtime TIME)
CREATE TABLE diagnosis (diagnosisid NUMBER, patientunitstayid NUMBER, diagnosisname CLOB, diagnosistime TIME, icd9code CLOB)
CREATE TABLE vitalperiodic (vitalperiodicid NUMBER, patientunitstayid NUMBER, temperature NUMBER, sao2 NUMBER, heartrate NUMBER, respiration NUMBER, systemicsystolic NUMBER, systemicdiastolic NUMBER, systemicmean NUMBER, observationtime TIME)
CREATE TABLE microlab (microlabid NUMBER, patientunitstayid NUMBER, culturesite CLOB, organism CLOB, culturetakentime TIME)
CREATE TABLE lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime TIME)
CREATE TABLE medication (medicationid NUMBER, patientunitstayid NUMBER, drugname CLOB, dosage CLOB, routeadmin CLOB, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE patient (uniquepid CLOB, patienthealthsystemstayid NUMBER, patientunitstayid NUMBER, gender CLOB, age CLOB, ethnicity CLOB, hospitalid NUMBER, wardid NUMBER, admissionheight NUMBER, admissionweight NUMBER, dischargeweight NUMBER, hospitaladmittime TIME, hospitaladmitsource CLOB, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus CLOB)
CREATE TABLE allergy (allergyid NUMBER, patientunitstayid NUMBER, drugname CLOB, allergyname CLOB, allergytime TIME)
CREATE TABLE cost (costid NUMBER, uniquepid CLOB, patienthealthsystemstayid NUMBER, eventtype CLOB, eventid NUMBER, chargetime TIME, cost NUMBER)
| what is the average total hospital cost that includes a procedure called a immunosuppressives - tacrolimus since 2102? | SELECT AVG(t1.c1) FROM (SELECT SUM(cost.cost) AS c1 FROM cost WHERE cost.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.patientunitstayid IN (SELECT treatment.patientunitstayid FROM treatment WHERE treatment.treatmentname = 'immunosuppressives - tacrolimus')) AND STRFTIME('%y', cost.chargetime) >= '2102' GROUP BY cost.patienthealthsystemstayid) AS t1 | WITH "_u_0" AS (SELECT "treatment"."patientunitstayid" FROM "treatment" WHERE "treatment"."treatmentname" = 'immunosuppressives - tacrolimus' GROUP BY "patientunitstayid"), "_u_1" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "patient"."patientunitstayid" WHERE NOT "_u_0"."" IS NULL GROUP BY "patienthealthsystemstayid"), "t1" AS (SELECT SUM("cost"."cost") AS "c1" FROM "cost" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "cost"."patienthealthsystemstayid" WHERE NOT "_u_1"."" IS NULL AND STRFTIME('%y', "cost"."chargetime") >= '2102' GROUP BY "cost"."patienthealthsystemstayid") SELECT AVG("t1"."c1") FROM "t1" "t1" | 0.652344 |
CREATE TABLE table_2882 ("Rank" FLOAT, "Rider" CLOB, "Mon 24 Aug" CLOB, "Tues 25 Aug" CLOB, "Wed 26 Aug" CLOB, "Thurs 27 Aug" CLOB, "Fri 28 Aug" CLOB, "Sat 29 Aug" CLOB)
| When 3 is the rank what is the time for Saturday August 29th? | SELECT "Sat 29 Aug" FROM table_2882 WHERE "Rank" = '3' | SELECT "Sat 29 Aug" FROM "table_2882" WHERE "Rank" = '3' | 0.054688 |
CREATE TABLE table_67687 ("Club" CLOB, "Played" CLOB, "Drawn" CLOB, "Lost" CLOB, "Points for" CLOB, "Points against" CLOB, "Tries for" CLOB, "Tries against" CLOB, "Try bonus" CLOB, "Losing bonus" CLOB, "Points" CLOB)
| What is the Losing bonus, when the value for Points is 43? | SELECT "Losing bonus" FROM table_67687 WHERE "Points" = '43' | SELECT "Losing bonus" FROM "table_67687" WHERE "Points" = '43' | 0.060547 |
CREATE TABLE table_1404456_1 (area__km_2__ VARCHAR2, population_census_2009 VARCHAR2)
| what's the area (km 2 ) with population census 2009 being 939370 | SELECT area__km_2__ FROM table_1404456_1 WHERE population_census_2009 = 939370 | SELECT "area__km_2__" FROM "table_1404456_1" WHERE "population_census_2009" = 939370 | 0.082031 |
CREATE TABLE university (School_ID NUMBER, School CLOB, Location CLOB, Founded FLOAT, Affiliation CLOB, Enrollment FLOAT, Nickname CLOB, Primary_conference CLOB)
CREATE TABLE basketball_match (Team_ID NUMBER, School_ID NUMBER, Team_Name CLOB, ACC_Regular_Season CLOB, ACC_Percent CLOB, ACC_Home CLOB, ACC_Road CLOB, All_Games CLOB, All_Games_Percent NUMBER, All_Home CLOB, All_Road CLOB, All_Neutral CLOB)
| Draw a scatter chart about the correlation between School_ID and ACC_Percent , and group by attribute All_Neutral. | SELECT School_ID, ACC_Percent FROM basketball_match GROUP BY All_Neutral | SELECT "School_ID", "ACC_Percent" FROM "basketball_match" GROUP BY "All_Neutral" | 0.078125 |
CREATE TABLE table_78878 ("Pick #" FLOAT, "Brand ( to ) " CLOB, "Employee ( Real name ) " CLOB, "Role" CLOB, "Brand ( from ) " CLOB)
| What is the real name of the male wrestler from Raw with a pick # smaller than 6? | SELECT "Employee (Real name)" FROM table_78878 WHERE "Pick #" < '6' AND "Brand (from)" = 'raw' AND "Role" = 'male wrestler' | SELECT "Employee (Real name)" FROM "table_78878" WHERE "Brand (from)" = 'raw' AND "Pick #" < '6' AND "Role" = 'male wrestler' | 0.12207 |
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 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 airport_service (city_code VARCHAR2, airport_code VARCHAR2, miles_distant NUMBER, direction VARCHAR2, minutes_distant NUMBER)
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 time_interval (period CLOB, begin_time NUMBER, end_time NUMBER)
CREATE TABLE ground_service (city_code CLOB, airport_code CLOB, transport_type CLOB, ground_fare NUMBER)
CREATE TABLE airline (airline_code VARCHAR2, airline_name CLOB, note 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 code_description (code VARCHAR2, description 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 flight_fare (flight_id NUMBER, fare_id NUMBER)
CREATE TABLE flight_leg (flight_id NUMBER, leg_number NUMBER, leg_flight NUMBER)
CREATE TABLE time_zone (time_zone_code CLOB, time_zone_name CLOB, hours_from_gmt NUMBER)
CREATE TABLE equipment_sequence (aircraft_code_sequence VARCHAR2, aircraft_code VARCHAR2)
CREATE TABLE date_day (month_number NUMBER, day_number NUMBER, year NUMBER, day_name 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 city (city_code VARCHAR2, city_name VARCHAR2, state_code VARCHAR2, country_name VARCHAR2, time_zone_code VARCHAR2)
CREATE TABLE restriction (restriction_code CLOB, advance_purchase NUMBER, stopovers CLOB, saturday_stay_required CLOB, minimum_stay NUMBER, maximum_stay NUMBER, application CLOB, no_discounts CLOB)
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 class_of_service (booking_class VARCHAR2, rank NUMBER, class_description CLOB)
CREATE TABLE month (month_number NUMBER, month_name CLOB)
CREATE TABLE state (state_code CLOB, state_name CLOB, country_name CLOB)
CREATE TABLE fare_basis (fare_basis_code CLOB, booking_class CLOB, class_type CLOB, premium CLOB, economy CLOB, discounted CLOB, night CLOB, season CLOB, basis_days CLOB)
| i need a flight departing from MILWAUKEE to INDIANAPOLIS leaving monday before 800 | SELECT DISTINCT flight_id FROM flight WHERE (((departure_time < 800 AND flight_days IN (SELECT DAYSalias0.days_code FROM days AS DAYSalias0 WHERE DAYSalias0.day_name IN (SELECT DATE_DAYalias0.day_name FROM date_day AS DATE_DAYalias0 WHERE DATE_DAYalias0.day_number = 21 AND DATE_DAYalias0.month_number = 2 AND DATE_DAYalias0.year = 1991))) AND to_airport IN (SELECT AIRPORT_SERVICEalias1.airport_code FROM airport_service AS AIRPORT_SERVICEalias1 WHERE AIRPORT_SERVICEalias1.city_code IN (SELECT CITYalias1.city_code FROM city AS CITYalias1 WHERE CITYalias1.city_name = 'INDIANAPOLIS'))) AND from_airport IN (SELECT AIRPORT_SERVICEalias0.airport_code FROM airport_service AS AIRPORT_SERVICEalias0 WHERE AIRPORT_SERVICEalias0.city_code IN (SELECT CITYalias0.city_code FROM city AS CITYalias0 WHERE CITYalias0.city_name = 'MILWAUKEE'))) | WITH "_u_0" AS (SELECT "DATE_DAYalias0"."day_name" FROM "date_day" "DATE_DAYalias0" WHERE "DATE_DAYalias0"."day_number" = 21 AND "DATE_DAYalias0"."month_number" = 2 AND "DATE_DAYalias0"."year" = 1991 GROUP BY "day_name"), "_u_1" AS (SELECT "DAYSalias0"."days_code" FROM "days" "DAYSalias0" LEFT JOIN "_u_0" "_u_0" ON "DAYSalias0"."day_name" = "_u_0"."" WHERE NOT "_u_0"."" IS NULL GROUP BY "days_code"), "_u_2" AS (SELECT "CITYalias1"."city_code" FROM "city" "CITYalias1" WHERE "CITYalias1"."city_name" = 'INDIANAPOLIS' GROUP BY "city_code"), "_u_3" AS (SELECT "AIRPORT_SERVICEalias1"."airport_code" FROM "airport_service" "AIRPORT_SERVICEalias1" LEFT JOIN "_u_2" "_u_2" ON "AIRPORT_SERVICEalias1"."city_code" = "_u_2"."" WHERE NOT "_u_2"."" IS NULL GROUP BY "airport_code"), "_u_4" AS (SELECT "CITYalias0"."city_code" FROM "city" "CITYalias0" WHERE "CITYalias0"."city_name" = 'MILWAUKEE' GROUP BY "city_code"), "_u_5" AS (SELECT "AIRPORT_SERVICEalias0"."airport_code" FROM "airport_service" "AIRPORT_SERVICEalias0" LEFT JOIN "_u_4" "_u_4" ON "AIRPORT_SERVICEalias0"."city_code" = "_u_4"."" WHERE NOT "_u_4"."" IS NULL GROUP BY "airport_code") SELECT DISTINCT "flight_id" FROM "flight" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "flight_days" LEFT JOIN "_u_3" "_u_3" ON "_u_3"."" = "to_airport" LEFT JOIN "_u_5" "_u_5" ON "_u_5"."" = "from_airport" WHERE "departure_time" < 800 AND NOT "_u_1"."" IS NULL AND NOT "_u_3"."" IS NULL AND NOT "_u_5"."" IS NULL | 1.416992 |
CREATE TABLE table_77955 ("Home team" CLOB, "Home team score" CLOB, "Away team" CLOB, "Away team score" CLOB, "Venue" CLOB, "Crowd" FLOAT, "Date" CLOB)
| Which home team has an Away team of essendon? | SELECT "Home team score" FROM table_77955 WHERE "Away team" = 'essendon' | SELECT "Home team score" FROM "table_77955" WHERE "Away team" = 'essendon' | 0.072266 |
CREATE TABLE table_71462 ("Region" CLOB, "Date" CLOB, "Label" CLOB, "Format" CLOB, "Catalog" CLOB)
| What label is the ALCA-9197 Catalog? | SELECT "Label" FROM table_71462 WHERE "Catalog" = 'alca-9197' | SELECT "Label" FROM "table_71462" WHERE "Catalog" = 'alca-9197' | 0.061523 |
CREATE TABLE table_11044765_1 (location VARCHAR2, mascot VARCHAR2)
| What city and state is the Lancers mascot located? | SELECT location FROM table_11044765_1 WHERE mascot = "Lancers" | SELECT "location" FROM "table_11044765_1" WHERE "Lancers" = "mascot" | 0.066406 |
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)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
| how many patients whose religion is christian scientist and diagnoses short title is atrial fibrillation? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.religion = "CHRISTIAN SCIENTIST" AND diagnoses.short_title = "Atrial fibrillation" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "Atrial fibrillation" = "diagnoses"."short_title" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" WHERE "CHRISTIAN SCIENTIST" = "demographic"."religion" | 0.239258 |
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 demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
| give me the number of patients whose drug name is alteplase (catheter clearance)? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE prescriptions.drug = "Alteplase (Catheter Clearance)" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "prescriptions" ON "Alteplase (Catheter Clearance)" = "prescriptions"."drug" AND "demographic"."hadm_id" = "prescriptions"."hadm_id" | 0.201172 |
CREATE TABLE Products (Code NUMBER, Name VARCHAR2, Price NUMBER, Manufacturer NUMBER)
CREATE TABLE Manufacturers (Code NUMBER, Name VARCHAR2, Headquarter VARCHAR2, Founder VARCHAR2, Revenue FLOAT)
| For those records from the products and each product's manufacturer, visualize a bar chart about the distribution of name and the sum of revenue , and group by attribute name, and I want to show by the Y-axis in asc. | SELECT T2.Name, T2.Revenue FROM Products AS T1 JOIN Manufacturers AS T2 ON T1.Manufacturer = T2.Code GROUP BY T2.Name ORDER BY T2.Revenue | SELECT "T2"."Name", "T2"."Revenue" FROM "Products" "T1" JOIN "Manufacturers" "T2" ON "T1"."Manufacturer" = "T2"."Code" GROUP BY "T2"."Name" ORDER BY "T2"."Revenue" | 0.15918 |
CREATE TABLE table_71300 ("Rank" FLOAT, "Nation" CLOB, "Gold" FLOAT, "Silver" FLOAT, "Bronze" FLOAT, "Total" FLOAT)
| What is the total number of bronze medals with a total of 4 medals and 1 gold medal? | SELECT COUNT("Bronze") FROM table_71300 WHERE "Total" = '4' AND "Gold" = '1' | SELECT COUNT("Bronze") FROM "table_71300" WHERE "Gold" = '1' AND "Total" = '4' | 0.076172 |
CREATE TABLE table_32728 ("Home team" CLOB, "Home team score" CLOB, "Away team" CLOB, "Away team score" CLOB, "Venue" CLOB, "Crowd" FLOAT, "Date" CLOB)
| What is the home team's score at princes park? | SELECT "Home team score" FROM table_32728 WHERE "Venue" = 'princes park' | SELECT "Home team score" FROM "table_32728" WHERE "Venue" = 'princes park' | 0.072266 |
CREATE TABLE table_204_72 (id NUMBER, "election year" NUMBER, "# of\ constituency votes" NUMBER, "# of\ party list votes" NUMBER, "% of\ party list votes" NUMBER, "# of\ overall seats won" CLOB, "+/-" NUMBER)
| which year had the least amount of overall seats won ? | SELECT "election year" FROM table_204_72 ORDER BY "# of\noverall seats won" LIMIT 1 | SELECT "election year" FROM "table_204_72" ORDER BY "# of\noverall seats won" FETCH FIRST 1 ROWS ONLY | 0.098633 |
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
| what is the number of patients whose diagnoses short title is dmi renl nt st uncntrld and procedure short title is infusion of vasopressor? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE diagnoses.short_title = "DMI renl nt st uncntrld" AND procedures.short_title = "Infusion of vasopressor" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "DMI renl nt st uncntrld" = "diagnoses"."short_title" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" JOIN "procedures" ON "Infusion of vasopressor" = "procedures"."short_title" AND "demographic"."hadm_id" = "procedures"."hadm_id" | 0.31543 |
CREATE TABLE documents (document_id NUMBER, document_type_code CLOB, project_id NUMBER, document_date TIME, document_name CLOB, document_description CLOB, other_details CLOB)
CREATE TABLE ref_document_types (document_type_code CLOB, document_type_name CLOB, document_type_description CLOB)
CREATE TABLE projects (project_id NUMBER, project_details CLOB)
CREATE TABLE ref_budget_codes (budget_type_code CLOB, budget_type_description CLOB)
CREATE TABLE documents_with_expenses (document_id NUMBER, budget_type_code CLOB, document_details CLOB)
CREATE TABLE accounts (account_id NUMBER, statement_id NUMBER, account_details CLOB)
CREATE TABLE statements (statement_id NUMBER, statement_details CLOB)
| Show the number of projects. | SELECT COUNT(*) FROM projects | SELECT COUNT(*) FROM "projects" | 0.030273 |
CREATE TABLE problem_log (problem_log_id NUMBER, assigned_to_staff_id NUMBER, problem_id NUMBER, problem_category_code CLOB, problem_status_code CLOB, log_entry_date TIME, log_entry_description CLOB, log_entry_fix CLOB, other_log_details CLOB)
CREATE TABLE problem_category_codes (problem_category_code CLOB, problem_category_description CLOB)
CREATE TABLE problem_status_codes (problem_status_code CLOB, problem_status_description CLOB)
CREATE TABLE product (product_id NUMBER, product_name CLOB, product_details CLOB)
CREATE TABLE staff (staff_id NUMBER, staff_first_name CLOB, staff_last_name CLOB, other_staff_details CLOB)
CREATE TABLE problems (problem_id NUMBER, product_id NUMBER, closure_authorised_by_staff_id NUMBER, reported_by_staff_id NUMBER, date_problem_reported TIME, date_problem_closed TIME, problem_description CLOB, other_problem_details CLOB)
| Find the first and last name of the staff members who reported problems from the product 'rem' but not 'aut'? | SELECT T3.staff_first_name, T3.staff_last_name FROM problems AS T1 JOIN product AS T2 JOIN staff AS T3 ON T1.product_id = T2.product_id AND T1.reported_by_staff_id = T3.staff_id WHERE T2.product_name = "rem" EXCEPT SELECT T3.staff_first_name, T3.staff_last_name FROM problems AS T1 JOIN product AS T2 JOIN staff AS T3 ON T1.product_id = T2.product_id AND T1.reported_by_staff_id = T3.staff_id WHERE T2.product_name = "aut" | SELECT "T3"."staff_first_name", "T3"."staff_last_name" FROM "problems" "T1" JOIN "product" "T2" ON "T1"."product_id" = "T2"."product_id" AND "T2"."product_name" = "rem" JOIN "staff" "T3" ON "T1"."reported_by_staff_id" = "T3"."staff_id" EXCEPT SELECT "T3"."staff_first_name", "T3"."staff_last_name" FROM "problems" "T1" JOIN "product" "T2" ON "T1"."product_id" = "T2"."product_id" AND "T2"."product_name" = "aut" JOIN "staff" "T3" ON "T1"."reported_by_staff_id" = "T3"."staff_id" | 0.466797 |
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, draw a bar chart about the distribution of founder and the average of code , and group by attribute founder, order in desc by the total number please. | SELECT T2.Founder, T1.Code FROM Products AS T1 JOIN Manufacturers AS T2 ON T1.Manufacturer = T2.Code GROUP BY T2.Founder ORDER BY T1.Code DESC | SELECT "T2"."Founder", "T1"."Code" FROM "Products" "T1" JOIN "Manufacturers" "T2" ON "T1"."Manufacturer" = "T2"."Code" GROUP BY "T2"."Founder" ORDER BY "T1"."Code" DESC | 0.164063 |
CREATE TABLE table_64411 ("Opposing Team" CLOB, "Against" FLOAT, "Date" CLOB, "Venue" CLOB, "Round" CLOB)
| What was the date of the game against Oxford United? | SELECT "Date" FROM table_64411 WHERE "Opposing Team" = 'oxford united' | SELECT "Date" FROM "table_64411" WHERE "Opposing Team" = 'oxford united' | 0.070313 |
CREATE TABLE table_204_162 (id NUMBER, "team" CLOB, "constructor" CLOB, "motorcycle" CLOB, "tyres" CLOB, "no" NUMBER, "rider" CLOB, "rounds" CLOB)
| which motorcycle did garry mccoy use on his team ? | SELECT "motorcycle" FROM table_204_162 WHERE "rider" = 'garry mccoy' | SELECT "motorcycle" FROM "table_204_162" WHERE "rider" = 'garry mccoy' | 0.068359 |
CREATE TABLE Person (age VARCHAR2, job VARCHAR2, name VARCHAR2)
| How old is the doctor named Zach? | SELECT age FROM Person WHERE job = 'doctor' AND name = 'Zach' | SELECT "age" FROM "Person" WHERE "job" = 'doctor' AND "name" = 'Zach' | 0.067383 |
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 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 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 Subjects (subject_id NUMBER, subject_name VARCHAR2)
| Return a histogram on what is the name of each course and the corresponding number of student enrollment? | SELECT course_name, COUNT(*) FROM Courses AS T1 JOIN Student_Course_Enrolment AS T2 ON T1.course_id = T2.course_id GROUP BY T1.course_name | SELECT "course_name", COUNT(*) FROM "Courses" "T1" JOIN "Student_Course_Enrolment" "T2" ON "T1"."course_id" = "T2"."course_id" GROUP BY "T1"."course_name" | 0.150391 |
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)
| what is the maximum age of patients with private insurance who were discharged to location - disc-tran cancer/chldrn h? | SELECT MAX(demographic.age) FROM demographic WHERE demographic.insurance = "Private" AND demographic.discharge_location = "DISC-TRAN CANCER/CHLDRN H" | SELECT MAX("demographic"."age") FROM "demographic" WHERE "DISC-TRAN CANCER/CHLDRN H" = "demographic"."discharge_location" AND "Private" = "demographic"."insurance" | 0.15918 |
CREATE TABLE table_name_83 (name VARCHAR2, overall VARCHAR2, college VARCHAR2)
| What is Name, when Overall is less than 175, and when College is 'Georgia'? | SELECT name FROM table_name_83 WHERE overall < 175 AND college = "georgia" | SELECT "name" FROM "table_name_83" WHERE "college" = "georgia" AND "overall" < 175 | 0.080078 |
CREATE TABLE table_name_99 (race VARCHAR2, location VARCHAR2)
| Who was the winner at spa-francorchamps? | SELECT race AS Winner FROM table_name_99 WHERE location = "spa-francorchamps" | SELECT "race" AS "Winner" FROM "table_name_99" WHERE "location" = "spa-francorchamps" | 0.083008 |
CREATE TABLE table_65112 ("Title" CLOB, "Series" CLOB, "Director" CLOB, "Production Number" CLOB, "Release date" CLOB)
| What is the Series of the Filmography with a Production Number of M-4-15? | SELECT "Series" FROM table_65112 WHERE "Production Number" = 'm-4-15' | SELECT "Series" FROM "table_65112" WHERE "Production Number" = 'm-4-15' | 0.069336 |
CREATE TABLE table_72553 ("Rank" FLOAT, "Place" CLOB, "County" CLOB, "Per Capita Income" CLOB, "Median House- hold Income" CLOB, "Population" FLOAT, "Number of Households" FLOAT)
| Which county has a median household income of $98,090? | SELECT "County" FROM table_72553 WHERE "Median House- hold Income" = '$98,090' | SELECT "County" FROM "table_72553" WHERE "Median House- hold Income" = '$98,090' | 0.078125 |
CREATE TABLE microlab (microlabid NUMBER, patientunitstayid NUMBER, culturesite CLOB, organism CLOB, culturetakentime TIME)
CREATE TABLE allergy (allergyid NUMBER, patientunitstayid NUMBER, drugname CLOB, allergyname CLOB, allergytime TIME)
CREATE TABLE lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime TIME)
CREATE TABLE medication (medicationid NUMBER, patientunitstayid NUMBER, drugname CLOB, dosage CLOB, routeadmin CLOB, drugstarttime TIME, drugstoptime 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 treatment (treatmentid NUMBER, patientunitstayid NUMBER, treatmentname CLOB, treatmenttime TIME)
CREATE TABLE diagnosis (diagnosisid NUMBER, patientunitstayid NUMBER, diagnosisname CLOB, diagnosistime TIME, icd9code CLOB)
CREATE TABLE vitalperiodic (vitalperiodicid NUMBER, patientunitstayid NUMBER, temperature NUMBER, sao2 NUMBER, heartrate NUMBER, respiration NUMBER, systemicsystolic NUMBER, systemicdiastolic NUMBER, systemicmean NUMBER, observationtime TIME)
| had patient 035-11300 been admitted to a hospital in 2105? | SELECT COUNT(*) > 0 FROM patient WHERE patient.uniquepid = '035-11300' AND STRFTIME('%y', patient.hospitaladmittime) = '2105' | SELECT COUNT(*) > 0 FROM "patient" WHERE "patient"."uniquepid" = '035-11300' AND STRFTIME('%y', "patient"."hospitaladmittime") = '2105' | 0.131836 |
CREATE TABLE people (Name VARCHAR2, People_ID VARCHAR2)
CREATE TABLE perpetrator (People_ID VARCHAR2)
| What are the names of perpetrators? | SELECT T1.Name FROM people AS T1 JOIN perpetrator AS T2 ON T1.People_ID = T2.People_ID | SELECT "T1"."Name" FROM "people" "T1" JOIN "perpetrator" "T2" ON "T1"."People_ID" = "T2"."People_ID" | 0.097656 |
CREATE TABLE table_name_98 (fleet_number_s_ VARCHAR2, wheel_arrangement VARCHAR2, class VARCHAR2)
| What is Fleet Number(s), when Wheel Arrangement is '2-6-0', and when Class is 'Z'? | SELECT fleet_number_s_ FROM table_name_98 WHERE wheel_arrangement = "2-6-0" AND class = "z" | SELECT "fleet_number_s_" FROM "table_name_98" WHERE "2-6-0" = "wheel_arrangement" AND "class" = "z" | 0.09668 |
CREATE TABLE table_6953 ("Nation" CLOB, "Skip" CLOB, "Third" CLOB, "Second" CLOB, "Lead" CLOB, "Alternate" CLOB, "Club" CLOB)
| Glenys Bakker was second for which nation? | SELECT "Nation" FROM table_6953 WHERE "Second" = 'glenys bakker' | SELECT "Nation" FROM "table_6953" WHERE "Second" = 'glenys bakker' | 0.064453 |
CREATE TABLE table_name_8 (erp_w VARCHAR2, call_sign VARCHAR2)
| Name the total number of ERP W when the call sign is w217bf | SELECT COUNT(erp_w) FROM table_name_8 WHERE call_sign = "w217bf" | SELECT COUNT("erp_w") FROM "table_name_8" WHERE "call_sign" = "w217bf" | 0.068359 |
CREATE TABLE table_name_85 (party VARCHAR2, member VARCHAR2)
| What party was the member peter howson part of? | SELECT party FROM table_name_85 WHERE member = "peter howson" | SELECT "party" FROM "table_name_85" WHERE "member" = "peter howson" | 0.06543 |
CREATE TABLE table_name_89 (year NUMBER, chassis VARCHAR2)
| What year was the brabham bt46 bt48 bt49 Chassis common? | SELECT AVG(year) FROM table_name_89 WHERE chassis = "brabham bt46 bt48 bt49" | SELECT AVG("year") FROM "table_name_89" WHERE "brabham bt46 bt48 bt49" = "chassis" | 0.080078 |
CREATE TABLE table_name_94 (rank VARCHAR2, total VARCHAR2, silver VARCHAR2)
| Which Rank has a Total larger than 17, and a Silver smaller than 13? | SELECT rank FROM table_name_94 WHERE total > 17 AND silver < 13 | SELECT "rank" FROM "table_name_94" WHERE "silver" < 13 AND "total" > 17 | 0.069336 |
CREATE TABLE camera_lens (id NUMBER, brand CLOB, name CLOB, focal_length_mm FLOAT, max_aperture FLOAT)
CREATE TABLE photos (id NUMBER, camera_lens_id NUMBER, mountain_id NUMBER, color CLOB, name CLOB)
CREATE TABLE mountain (id NUMBER, name CLOB, Height FLOAT, Prominence FLOAT, Range CLOB, Country CLOB)
| What are the number of the names of photos taken with the lens brand 'Sigma' or 'Olympus'?, and show bar from high to low order. | SELECT T1.name, COUNT(T1.name) FROM camera_lens AS T1 JOIN photos AS T2 ON T2.camera_lens_id = T1.id WHERE T1.brand = 'Sigma' OR T1.brand = 'Olympus' GROUP BY T1.name ORDER BY T1.name DESC | SELECT "T1"."name", COUNT("T1"."name") FROM "camera_lens" "T1" JOIN "photos" "T2" ON "T1"."id" = "T2"."camera_lens_id" WHERE "T1"."brand" = 'Olympus' OR "T1"."brand" = 'Sigma' GROUP BY "T1"."name" ORDER BY "T1"."name" DESC | 0.216797 |
CREATE TABLE drivers (forename VARCHAR2)
| List the forenames of all distinct drivers in alphabetical order? | SELECT DISTINCT forename FROM drivers ORDER BY forename | SELECT DISTINCT "forename" FROM "drivers" ORDER BY "forename" | 0.05957 |
CREATE TABLE table_45299 ("Type" CLOB, "Construction period" CLOB, "Cylinder" CLOB, "Capacity" CLOB, "Power" CLOB, "Vmax" CLOB)
| What was the maximum speed of the car with 1.556 cc capacity? | SELECT "Vmax" FROM table_45299 WHERE "Capacity" = '1.556 cc' | SELECT "Vmax" FROM "table_45299" WHERE "Capacity" = '1.556 cc' | 0.060547 |
CREATE TABLE table_204_549 (id NUMBER, "series\ number" CLOB, "key" CLOB, "composed" CLOB, "published" CLOB, "opus no." CLOB, "brown" CLOB, "kobylanska" CLOB, "chominski" CLOB, "dedication" CLOB, "notes" CLOB)
| which is older , 10-13 or 18-21 ? | SELECT "series\nnumber" FROM table_204_549 WHERE "series\nnumber" IN ('10-13', '18-21') ORDER BY "composed" LIMIT 1 | SELECT "series\nnumber" FROM "table_204_549" WHERE "series\nnumber" IN ('10-13', '18-21') ORDER BY "composed" FETCH FIRST 1 ROWS ONLY | 0.129883 |
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 demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
| provide the number of patients whose insurance is medicaid and lab test name is prostate specific antigen? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.insurance = "Medicaid" AND lab.label = "Prostate Specific Antigen" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "lab" ON "Prostate Specific Antigen" = "lab"."label" AND "demographic"."hadm_id" = "lab"."hadm_id" WHERE "Medicaid" = "demographic"."insurance" | 0.211914 |
CREATE TABLE table_name_4 (character VARCHAR2, title_rank VARCHAR2)
| Which character had a title rank of various? | SELECT character FROM table_name_4 WHERE title_rank = "various" | SELECT "character" FROM "table_name_4" WHERE "title_rank" = "various" | 0.067383 |
CREATE TABLE table_name_31 (year NUMBER, issue_price VARCHAR2)
| What was the year that had an issue price of $1,295.95? | SELECT AVG(year) FROM table_name_31 WHERE issue_price = "$1,295.95" | SELECT AVG("year") FROM "table_name_31" WHERE "$1,295.95" = "issue_price" | 0.071289 |
CREATE TABLE departments (DEPARTMENT_ID NUMBER, DEPARTMENT_NAME VARCHAR2, MANAGER_ID NUMBER, LOCATION_ID NUMBER)
CREATE TABLE employees (EMPLOYEE_ID NUMBER, FIRST_NAME VARCHAR2, LAST_NAME VARCHAR2, EMAIL VARCHAR2, PHONE_NUMBER VARCHAR2, HIRE_DATE DATE, JOB_ID VARCHAR2, SALARY NUMBER, COMMISSION_PCT NUMBER, MANAGER_ID NUMBER, DEPARTMENT_ID NUMBER)
CREATE TABLE job_history (EMPLOYEE_ID NUMBER, START_DATE DATE, END_DATE DATE, JOB_ID VARCHAR2, DEPARTMENT_ID NUMBER)
CREATE TABLE regions (REGION_ID NUMBER, REGION_NAME VARCHAR2)
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)
CREATE TABLE jobs (JOB_ID VARCHAR2, JOB_TITLE VARCHAR2, MIN_SALARY NUMBER, MAX_SALARY NUMBER)
| For all employees who have the letters D or S in their first name, return a bar chart about the distribution of hire_date and the sum of department_id bin hire_date by time. | SELECT HIRE_DATE, SUM(DEPARTMENT_ID) FROM employees WHERE FIRST_NAME LIKE '%D%' OR FIRST_NAME LIKE '%S%' | SELECT "HIRE_DATE", SUM("DEPARTMENT_ID") FROM "employees" WHERE "FIRST_NAME" LIKE '%D%' OR "FIRST_NAME" LIKE '%S%' | 0.111328 |
CREATE TABLE table_38425 ("Party" CLOB, "Votes cast" FLOAT, "Percentage" FLOAT, "Seats won" FLOAT, "Percent of seats" FLOAT)
| Which party won less than 21 seats, has 0 percent of seats, and 69757 votes cast? | SELECT "Party" FROM table_38425 WHERE "Seats won" < '21' AND "Percent of seats" = '0' AND "Votes cast" = '69757' | SELECT "Party" FROM "table_38425" WHERE "Percent of seats" = '0' AND "Seats won" < '21' AND "Votes cast" = '69757' | 0.111328 |
CREATE TABLE table_name_61 (opponent VARCHAR2, score VARCHAR2)
| Who was the Opponent in the match with a Score of 6 3, 6 4? | SELECT opponent FROM table_name_61 WHERE score = "6–3, 6–4" | SELECT "opponent" FROM "table_name_61" WHERE "6–3, 6–4" = "score" | 0.063477 |
CREATE TABLE table_name_89 (place VARCHAR2, to_par VARCHAR2, score VARCHAR2)
| What is the Place of the Player with a To par of 10 and a Score of 67-67-66=200? | SELECT place FROM table_name_89 WHERE to_par = "–10" AND score = 67 - 67 - 66 = 200 | SELECT "place" FROM "table_name_89" WHERE "score" = FALSE AND "to_par" = "–10" | 0.076172 |
CREATE TABLE table_203_570 (id NUMBER, "#" NUMBER, "title" CLOB, "tpb isbn" CLOB, "tpb release date" CLOB, "tpb page number" NUMBER, "collected material" CLOB)
| what title appears before the self preservation society ? | SELECT "title" FROM table_203_570 WHERE id = (SELECT id FROM table_203_570 WHERE "title" = 'the self-preservation society') - 1 | SELECT "title" FROM "table_203_570" WHERE "id" = (SELECT "id" FROM "table_203_570" WHERE "title" = 'the self-preservation society') - 1 | 0.131836 |
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE 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 diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
| how many patients whose age is less than 77 and diagnoses long title is abscess of intestine? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.age < "77" AND diagnoses.long_title = "Abscess of intestine" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "Abscess of intestine" = "diagnoses"."long_title" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" WHERE "77" > "demographic"."age" | 0.217773 |
CREATE TABLE table_25177625_1 (height VARCHAR2, position VARCHAR2, year VARCHAR2)
| What was the height of this Freshman with a forward position? | SELECT height FROM table_25177625_1 WHERE position = "Forward" AND year = "Freshman" | SELECT "height" FROM "table_25177625_1" WHERE "Forward" = "position" AND "Freshman" = "year" | 0.089844 |
CREATE TABLE table_11677691_2 (school VARCHAR2, player VARCHAR2)
| WHAT SCHOOL DOES HA'SEAN CLINTON-DIX BELONG TO? | SELECT school FROM table_11677691_2 WHERE player = "Ha'Sean Clinton-Dix" | SELECT "school" FROM "table_11677691_2" WHERE "Ha'Sean Clinton-Dix" = "player" | 0.076172 |
CREATE TABLE VoteTypes (Id NUMBER, Name CLOB)
CREATE TABLE ReviewTaskStates (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostTags (PostId NUMBER, TagId 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 ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
CREATE TABLE SuggestedEditVotes (Id NUMBER, SuggestedEditId NUMBER, UserId NUMBER, VoteTypeId NUMBER, CreationDate TIME, TargetUserId NUMBER, TargetRepChange 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 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 PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
CREATE TABLE PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
CREATE TABLE PostHistoryTypes (Id NUMBER, Name CLOB)
CREATE TABLE ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId NUMBER)
CREATE TABLE Comments (Id NUMBER, PostId NUMBER, Score NUMBER, Text CLOB, CreationDate TIME, UserDisplayName CLOB, UserId NUMBER, ContentLicense CLOB)
CREATE TABLE PendingFlags (Id NUMBER, FlagTypeId NUMBER, PostId NUMBER, CreationDate TIME, CloseReasonTypeId NUMBER, CloseAsOffTopicReasonTypeId NUMBER, DuplicateOfQuestionId NUMBER, BelongsOnBaseHostAddress 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 ReviewTaskTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount NUMBER)
CREATE TABLE FlagTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE 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 TagSynonyms (Id NUMBER, SourceTagName CLOB, TargetTagName CLOB, CreationDate TIME, OwnerUserId NUMBER, AutoRenameCount NUMBER, LastAutoRename TIME, Score NUMBER, ApprovedByUserId NUMBER, ApprovalDate TIME)
CREATE TABLE PostTypes (Id NUMBER, Name CLOB)
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 PostsWithDeleted (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE ReviewTaskResultTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE CloseAsOffTopicReasonTypes (Id NUMBER, IsUniversal BOOLEAN, InputTitle CLOB, MarkdownInputGuidance CLOB, MarkdownPostOwnerGuidance CLOB, MarkdownPrivilegedUserGuidance CLOB, MarkdownConcensusDescription CLOB, CreationDate TIME, CreationModeratorId NUMBER, ApprovalDate TIME, ApprovalModeratorId NUMBER, DeactivationDate TIME, DeactivationModeratorId NUMBER)
CREATE TABLE PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId NUMBER)
| TOP 100 Mejor promedio en respuestas. | SELECT ROW_NUMBER() OVER (ORDER BY (SUM(P.Score) * 1.0) / COUNT(P.Id) DESC) AS "ranking", U.Id AS "user_link", SUM(P.Score) AS "puntaje_total_en_respuestas", COUNT(P.Id) AS "n mero_de_respuestas", ROUND((SUM(P.Score) * 1.0) / COUNT(P.Id), 4) AS "promedio" FROM Posts AS P INNER JOIN Users AS U ON P.OwnerUserId = U.Id WHERE PostTypeId = 2 GROUP BY U.Id HAVING COUNT(P.Id) >= 10 ORDER BY 'promedio' DESC LIMIT 100 | SELECT ROW_NUMBER() OVER (ORDER BY (SUM("P"."Score") * 1.0) / NULLIF(COUNT("P"."Id"), 0) DESC) AS "ranking", "U"."Id" AS "user_link", SUM("P"."Score") AS "puntaje_total_en_respuestas", COUNT("P"."Id") AS "n mero_de_respuestas", ROUND((SUM("P"."Score") * 1.0) / NULLIF(COUNT("P"."Id"), 0), 4) AS "promedio" FROM "Posts" "P" JOIN "Users" "U" ON "P"."OwnerUserId" = "U"."Id" WHERE "PostTypeId" = 2 GROUP BY "U"."Id" HAVING COUNT("P"."Id") >= 10 ORDER BY 'promedio' DESC FETCH FIRST 100 ROWS ONLY | 0.480469 |
CREATE TABLE microlab (microlabid NUMBER, patientunitstayid NUMBER, culturesite CLOB, organism CLOB, culturetakentime 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 lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime TIME)
CREATE TABLE intakeoutput (intakeoutputid NUMBER, patientunitstayid NUMBER, cellpath CLOB, celllabel CLOB, cellvaluenumeric NUMBER, intakeoutputtime TIME)
CREATE TABLE cost (costid NUMBER, uniquepid CLOB, patienthealthsystemstayid NUMBER, eventtype CLOB, eventid NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE vitalperiodic (vitalperiodicid NUMBER, patientunitstayid NUMBER, temperature NUMBER, sao2 NUMBER, heartrate NUMBER, respiration NUMBER, systemicsystolic NUMBER, systemicdiastolic NUMBER, systemicmean NUMBER, observationtime TIME)
CREATE TABLE 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 diagnosis (diagnosisid NUMBER, patientunitstayid NUMBER, diagnosisname CLOB, diagnosistime TIME, icd9code CLOB)
| what is the maximum number of yearly diagnosed cases of valve replacement >= 7 days - mitral since 6 years ago? | SELECT MAX(t1.c1) FROM (SELECT COUNT(DISTINCT diagnosis.patientunitstayid) AS c1 FROM diagnosis WHERE diagnosis.diagnosisname = 'valve replacement >= 7 days - mitral' AND DATETIME(diagnosis.diagnosistime) >= DATETIME(CURRENT_TIME(), '-6 year') GROUP BY STRFTIME('%y', diagnosis.diagnosistime)) AS t1 | WITH "t1" AS (SELECT COUNT(DISTINCT "diagnosis"."patientunitstayid") AS "c1" FROM "diagnosis" WHERE "diagnosis"."diagnosisname" = 'valve replacement >= 7 days - mitral' AND DATETIME("diagnosis"."diagnosistime") >= DATETIME(CURRENT_TIME(), '-6 year') GROUP BY STRFTIME('%y', "diagnosis"."diagnosistime")) SELECT MAX("t1"."c1") FROM "t1" "t1" | 0.332031 |
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 cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE 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 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 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 admissions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, admittime TIME, dischtime TIME, admission_type CLOB, admission_location CLOB, discharge_location CLOB, insurance CLOB, language CLOB, marital_status CLOB, ethnicity CLOB, age NUMBER)
CREATE TABLE chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE 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_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 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)
| patient 98177 was diagnosed for the last time with what? | SELECT d_icd_diagnoses.short_title FROM d_icd_diagnoses WHERE d_icd_diagnoses.icd9_code IN (SELECT diagnoses_icd.icd9_code FROM diagnoses_icd WHERE diagnoses_icd.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 98177) ORDER BY diagnoses_icd.charttime DESC LIMIT 1) | WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 98177 GROUP BY "hadm_id"), "_u_1" AS (SELECT "diagnoses_icd"."icd9_code" FROM "diagnoses_icd" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "diagnoses_icd"."hadm_id" WHERE NOT "_u_0"."" IS NULL GROUP BY "icd9_code" ORDER BY "diagnoses_icd"."charttime" DESC FETCH FIRST 1 ROWS ONLY) SELECT "d_icd_diagnoses"."short_title" FROM "d_icd_diagnoses" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "d_icd_diagnoses"."icd9_code" WHERE NOT "_u_1"."" IS NULL | 0.518555 |
Subsets and Splits