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CREATE TABLE table_1213511_6 (nationality VARCHAR2, nhl_team VARCHAR2)
| What is the nationality of the player from the Detroit Red Wings? | SELECT nationality FROM table_1213511_6 WHERE nhl_team = "Detroit Red Wings" | SELECT "nationality" FROM "table_1213511_6" WHERE "Detroit Red Wings" = "nhl_team" | 0.080078 |
CREATE TABLE table_29391888_1 (production_code VARCHAR2, original_air_date VARCHAR2)
| What is the production code for the episode whose original air date was May15,2000? | SELECT production_code FROM table_29391888_1 WHERE original_air_date = "May15,2000" | SELECT "production_code" FROM "table_29391888_1" WHERE "May15,2000" = "original_air_date" | 0.086914 |
CREATE TABLE table_72741 ("Season" CLOB, "No. of stars" FLOAT, "No. of weeks" FLOAT, "Duration dates" CLOB, "Winner" CLOB, "Second place" CLOB, "Third place" CLOB)
| Who got second place when the winners were rafa mroczek & aneta piotrowska? | SELECT "Second place" FROM table_72741 WHERE "Winner" = 'Rafał Mroczek & Aneta Piotrowska' | SELECT "Second place" FROM "table_72741" WHERE "Winner" = 'Rafał Mroczek & Aneta Piotrowska' | 0.089844 |
CREATE TABLE table_64844 ("City" CLOB, "Region" CLOB, "July" CLOB, "January" CLOB, "Annual Precipitation" CLOB, "Plant Hardiness Zone" CLOB)
| What is the plant hardiness zone in the Northern region where the annual precipitation is 443mm (17.4in)? | SELECT "Plant Hardiness Zone" FROM table_64844 WHERE "Region" = 'northern' AND "Annual Precipitation" = '443mm (17.4in)' | SELECT "Plant Hardiness Zone" FROM "table_64844" WHERE "Annual Precipitation" = '443mm (17.4in)' AND "Region" = 'northern' | 0.119141 |
CREATE TABLE table_46605 ("Res." CLOB, "Record" CLOB, "Opponent" CLOB, "Method" CLOB, "Event" CLOB, "Round" CLOB, "Location" CLOB)
| What was his record at the AFC: Brazil 1 event that went 3 rounds? | SELECT "Record" FROM table_46605 WHERE "Round" = '3' AND "Event" = 'afc: brazil 1' | SELECT "Record" FROM "table_46605" WHERE "Event" = 'afc: brazil 1' AND "Round" = '3' | 0.082031 |
CREATE TABLE table_name_68 (time VARCHAR2, opponent VARCHAR2)
| What time was Opponent Fredson Paix o beaten in? | SELECT time FROM table_name_68 WHERE opponent = "fredson paixão" | SELECT "time" FROM "table_name_68" WHERE "fredson paixão" = "opponent" | 0.068359 |
CREATE TABLE table_name_1 (attendance NUMBER, home VARCHAR2)
| For all games with calgary as home, what is the average number of attendees? | SELECT AVG(attendance) FROM table_name_1 WHERE home = "calgary" | SELECT AVG("attendance") FROM "table_name_1" WHERE "calgary" = "home" | 0.067383 |
CREATE TABLE table_60184 ("Place" CLOB, "Player" CLOB, "Country" CLOB, "Score" CLOB, "To par" CLOB)
| What is the place of the player with a 71-66-64=201 score? | SELECT "Place" FROM table_60184 WHERE "Score" = '71-66-64=201' | SELECT "Place" FROM "table_60184" WHERE "Score" = '71-66-64=201' | 0.0625 |
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 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 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)
| how many patients whose diagnoses icd9 code is 5680? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE diagnoses.icd9_code = "5680" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "5680" = "diagnoses"."icd9_code" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" | 0.168945 |
CREATE TABLE table_14342210_6 (extra_points NUMBER)
| What is the least amount of extra points made in by a player? | SELECT MIN(extra_points) FROM table_14342210_6 | SELECT MIN("extra_points") FROM "table_14342210_6" | 0.048828 |
CREATE TABLE table_name_86 (opponent VARCHAR2, attendance VARCHAR2)
| Who was the opponent when the attendance was 31,002? | SELECT opponent FROM table_name_86 WHERE attendance = "31,002" | SELECT "opponent" FROM "table_name_86" WHERE "31,002" = "attendance" | 0.066406 |
CREATE TABLE book_club (book_club_id NUMBER, year NUMBER, author_or_editor CLOB, book_title CLOB, publisher CLOB, category CLOB, result CLOB)
CREATE TABLE culture_company (company_name CLOB, type CLOB, incorporated_in CLOB, group_equity_shareholding NUMBER, book_club_id CLOB, movie_id CLOB)
CREATE TABLE movie (movie_id NUMBER, title CLOB, year NUMBER, director CLOB, budget_million NUMBER, gross_worldwide NUMBER)
| How many books are there for each publisher? | SELECT publisher, COUNT(*) FROM book_club GROUP BY publisher | SELECT "publisher", COUNT(*) FROM "book_club" GROUP BY "publisher" | 0.064453 |
CREATE TABLE table_name_85 (rank VARCHAR2, country VARCHAR2)
| What is Croatia's rank? | SELECT rank FROM table_name_85 WHERE country = "croatia" | SELECT "rank" FROM "table_name_85" WHERE "country" = "croatia" | 0.060547 |
CREATE TABLE PostHistoryTypes (Id NUMBER, Name CLOB)
CREATE TABLE Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount NUMBER)
CREATE TABLE PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId NUMBER)
CREATE TABLE SuggestedEdits (Id NUMBER, PostId NUMBER, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId NUMBER, Comment CLOB, Text CLOB, Title CLOB, Tags CLOB, RevisionGUID other)
CREATE TABLE PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId NUMBER)
CREATE TABLE ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId NUMBER)
CREATE TABLE CloseReasonTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
CREATE TABLE Users (Id NUMBER, Reputation NUMBER, CreationDate TIME, DisplayName CLOB, LastAccessDate TIME, WebsiteUrl CLOB, Location CLOB, AboutMe CLOB, Views NUMBER, UpVotes NUMBER, DownVotes NUMBER, ProfileImageUrl CLOB, EmailHash CLOB, AccountId NUMBER)
CREATE TABLE ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment CLOB)
CREATE TABLE Comments (Id NUMBER, PostId NUMBER, Score NUMBER, Text CLOB, CreationDate TIME, UserDisplayName CLOB, UserId NUMBER, ContentLicense CLOB)
CREATE TABLE FlagTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE ReviewTaskTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
CREATE TABLE PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
CREATE TABLE VoteTypes (Id NUMBER, Name CLOB)
CREATE TABLE TagSynonyms (Id NUMBER, SourceTagName CLOB, TargetTagName CLOB, CreationDate TIME, OwnerUserId NUMBER, AutoRenameCount NUMBER, LastAutoRename TIME, Score NUMBER, ApprovedByUserId NUMBER, ApprovalDate TIME)
CREATE TABLE PostsWithDeleted (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE PostTags (PostId NUMBER, TagId NUMBER)
CREATE TABLE PostHistory (Id NUMBER, PostHistoryTypeId NUMBER, PostId NUMBER, RevisionGUID other, CreationDate TIME, UserId NUMBER, UserDisplayName CLOB, Comment CLOB, Text CLOB, ContentLicense CLOB)
CREATE TABLE Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
CREATE TABLE Posts (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE SuggestedEditVotes (Id NUMBER, SuggestedEditId NUMBER, UserId NUMBER, VoteTypeId NUMBER, CreationDate TIME, TargetUserId NUMBER, TargetRepChange NUMBER)
CREATE TABLE PostTypes (Id NUMBER, Name CLOB)
CREATE TABLE PendingFlags (Id NUMBER, FlagTypeId NUMBER, PostId NUMBER, CreationDate TIME, CloseReasonTypeId NUMBER, CloseAsOffTopicReasonTypeId NUMBER, DuplicateOfQuestionId NUMBER, BelongsOnBaseHostAddress CLOB)
CREATE TABLE CloseAsOffTopicReasonTypes (Id NUMBER, IsUniversal BOOLEAN, InputTitle CLOB, MarkdownInputGuidance CLOB, MarkdownPostOwnerGuidance CLOB, MarkdownPrivilegedUserGuidance CLOB, MarkdownConcensusDescription CLOB, CreationDate TIME, CreationModeratorId NUMBER, ApprovalDate TIME, ApprovalModeratorId NUMBER, DeactivationDate TIME, DeactivationModeratorId NUMBER)
CREATE TABLE ReviewTaskStates (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
CREATE TABLE ReviewTaskResultTypes (Id NUMBER, Name CLOB, Description CLOB)
| Posts with 'question' in the title. | SELECT Title FROM Posts WHERE PostTypeId = 1 AND LOWER(Title) LIKE ('%question%') AND NOT LOWER(Title) LIKE ('%interview%') | SELECT "Title" FROM "Posts" WHERE "PostTypeId" = 1 AND NOT LOWER("Title") LIKE '%interview%' AND LOWER("Title") LIKE '%question%' | 0.125977 |
CREATE TABLE table_65341 ("Author / Editor / Source" CLOB, "Year of publication" CLOB, "Countries sampled" FLOAT, "World Ranking ( 1 ) " CLOB, "Ranking in Latin America ( 2 ) " FLOAT)
| Who is the Author/Editor/Source for more than 100 countries sampled and has a 35 world ranking? | SELECT "Author / Editor / Source" FROM table_65341 WHERE "World Ranking (1)" = '35' AND "Countries sampled" > '100' | SELECT "Author / Editor / Source" FROM "table_65341" WHERE "Countries sampled" > '100' AND "World Ranking (1)" = '35' | 0.114258 |
CREATE TABLE table_name_20 (years VARCHAR2, state VARCHAR2, lifespan VARCHAR2)
| What years did the Representative from Iowa with a lifespan of 1880 1942 serve? | SELECT years FROM table_name_20 WHERE state = "iowa" AND lifespan = "1880–1942" | SELECT "years" FROM "table_name_20" WHERE "1880–1942" = "lifespan" AND "iowa" = "state" | 0.084961 |
CREATE TABLE table_203_322 (id NUMBER, "club" CLOB, "played" NUMBER, "won" NUMBER, "drawn" NUMBER, "lost" NUMBER, "points for" NUMBER, "points against" NUMBER, "bonus points" NUMBER, "points" NUMBER)
| what is the difference of the number of won games between stade toulousain and ca brive ? | SELECT (SELECT "won" FROM table_203_322 WHERE "club" = 'stade toulousain') - (SELECT "won" FROM table_203_322 WHERE "club" = 'ca brive') | SELECT (SELECT "won" FROM "table_203_322" WHERE "club" = 'stade toulousain') - (SELECT "won" FROM "table_203_322" WHERE "club" = 'ca brive') | 0.136719 |
CREATE TABLE table_204_536 (id NUMBER, "event" CLOB, "bowling center" CLOB, "city" CLOB, "dates" CLOB, "winner" CLOB)
| what was the total number of events held in 1966 ? | SELECT COUNT("event") FROM table_204_536 | SELECT COUNT("event") FROM "table_204_536" | 0.041016 |
CREATE TABLE class_of_service (booking_class VARCHAR2, rank NUMBER, class_description CLOB)
CREATE TABLE time_interval (period CLOB, begin_time NUMBER, end_time NUMBER)
CREATE TABLE city (city_code VARCHAR2, city_name VARCHAR2, state_code VARCHAR2, country_name VARCHAR2, time_zone_code VARCHAR2)
CREATE TABLE time_zone (time_zone_code CLOB, time_zone_name CLOB, hours_from_gmt NUMBER)
CREATE TABLE airline (airline_code VARCHAR2, airline_name CLOB, note 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 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 flight_leg (flight_id NUMBER, leg_number NUMBER, leg_flight NUMBER)
CREATE TABLE date_day (month_number NUMBER, day_number NUMBER, year NUMBER, day_name VARCHAR2)
CREATE TABLE equipment_sequence (aircraft_code_sequence VARCHAR2, aircraft_code VARCHAR2)
CREATE TABLE month (month_number NUMBER, month_name CLOB)
CREATE TABLE code_description (code VARCHAR2, description CLOB)
CREATE TABLE days (days_code VARCHAR2, day_name VARCHAR2)
CREATE TABLE flight_fare (flight_id NUMBER, fare_id 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 aircraft (aircraft_code VARCHAR2, aircraft_description VARCHAR2, manufacturer VARCHAR2, basic_type VARCHAR2, engines NUMBER, propulsion VARCHAR2, wide_body VARCHAR2, wing_span NUMBER, length NUMBER, weight NUMBER, capacity NUMBER, pay_load NUMBER, cruising_speed NUMBER, range_miles NUMBER, pressurized VARCHAR2)
CREATE TABLE flight (aircraft_code_sequence CLOB, airline_code VARCHAR2, airline_flight CLOB, arrival_time NUMBER, connections NUMBER, departure_time NUMBER, dual_carrier CLOB, flight_days CLOB, flight_id NUMBER, flight_number NUMBER, from_airport VARCHAR2, meal_code CLOB, stops NUMBER, time_elapsed NUMBER, to_airport VARCHAR2)
CREATE TABLE fare_basis (fare_basis_code CLOB, booking_class CLOB, class_type CLOB, premium CLOB, economy CLOB, discounted CLOB, night CLOB, season CLOB, basis_days CLOB)
CREATE TABLE fare (fare_id NUMBER, from_airport VARCHAR2, to_airport VARCHAR2, fare_basis_code CLOB, fare_airline CLOB, restriction_code CLOB, one_direction_cost NUMBER, round_trip_cost NUMBER, round_trip_required VARCHAR2)
CREATE TABLE state (state_code CLOB, state_name CLOB, country_name CLOB)
CREATE TABLE compartment_class (compartment VARCHAR2, class_type VARCHAR2)
CREATE TABLE ground_service (city_code CLOB, airport_code CLOB, transport_type CLOB, ground_fare NUMBER)
CREATE TABLE food_service (meal_code CLOB, meal_number NUMBER, compartment CLOB, meal_description VARCHAR2)
CREATE TABLE dual_carrier (main_airline VARCHAR2, low_flight_number NUMBER, high_flight_number NUMBER, dual_airline VARCHAR2, service_name CLOB)
| information on ground transportation in DENVER | SELECT DISTINCT ground_service.transport_type FROM city, ground_service WHERE city.city_name = 'DENVER' AND ground_service.city_code = city.city_code | SELECT DISTINCT "ground_service"."transport_type" FROM "city" JOIN "ground_service" ON "city"."city_code" = "ground_service"."city_code" WHERE "city"."city_name" = 'DENVER' | 0.167969 |
CREATE TABLE table_name_2 (opponent VARCHAR2, event VARCHAR2)
| Which Opponent has an Event of jungle fight 5? | SELECT opponent FROM table_name_2 WHERE event = "jungle fight 5" | SELECT "opponent" FROM "table_name_2" WHERE "event" = "jungle fight 5" | 0.068359 |
CREATE TABLE table_44803 ("Outcome" CLOB, "Date" CLOB, "Tournament" CLOB, "Surface" CLOB, "Opponent" CLOB, "Score" CLOB)
| What is Score, when Date is 10 July 2011? | SELECT "Score" FROM table_44803 WHERE "Date" = '10 july 2011' | SELECT "Score" FROM "table_44803" WHERE "Date" = '10 july 2011' | 0.061523 |
CREATE TABLE event (ID NUMBER, Name CLOB, Stadium_ID NUMBER, Year CLOB)
CREATE TABLE swimmer (ID NUMBER, name CLOB, Nationality CLOB, meter_100 FLOAT, meter_200 CLOB, meter_300 CLOB, meter_400 CLOB, meter_500 CLOB, meter_600 CLOB, meter_700 CLOB, Time CLOB)
CREATE TABLE record (ID NUMBER, Result CLOB, Swimmer_ID NUMBER, Event_ID NUMBER)
CREATE TABLE stadium (ID NUMBER, name CLOB, Capacity NUMBER, City CLOB, Country CLOB, Opening_year NUMBER)
| Draw a bar chart about the distribution of meter_300 and ID , and order y axis in descending order. | SELECT meter_300, ID FROM swimmer ORDER BY ID DESC | SELECT "meter_300", "ID" FROM "swimmer" ORDER BY "ID" DESC | 0.056641 |
CREATE TABLE treatment (treatmentid NUMBER, patientunitstayid NUMBER, treatmentname CLOB, treatmenttime TIME)
CREATE TABLE lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime 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 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 diagnosis (diagnosisid NUMBER, patientunitstayid NUMBER, diagnosisname CLOB, diagnosistime TIME, icd9code CLOB)
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 medication (medicationid NUMBER, patientunitstayid NUMBER, drugname CLOB, dosage CLOB, routeadmin CLOB, drugstarttime TIME, drugstoptime TIME)
| give me the total amount of lr ivf that patient 006-70268 took on 04/13/this year. | SELECT SUM(intakeoutput.cellvaluenumeric) FROM intakeoutput WHERE intakeoutput.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '006-70268')) AND intakeoutput.celllabel = 'lr ivf' AND intakeoutput.cellpath LIKE '%intake%' AND DATETIME(intakeoutput.intakeoutputtime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-0 year') AND STRFTIME('%m-%d', intakeoutput.intakeoutputtime) = '04-13' | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '006-70268' GROUP BY "patienthealthsystemstayid"), "_u_1" AS (SELECT "patient"."patientunitstayid" FROM "patient" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "patient"."patienthealthsystemstayid" WHERE NOT "_u_0"."" IS NULL GROUP BY "patientunitstayid") SELECT SUM("intakeoutput"."cellvaluenumeric") FROM "intakeoutput" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "intakeoutput"."patientunitstayid" WHERE "intakeoutput"."celllabel" = 'lr ivf' AND "intakeoutput"."cellpath" LIKE '%intake%' AND DATETIME("intakeoutput"."intakeoutputtime", 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-0 year') AND NOT "_u_1"."" IS NULL AND STRFTIME('%m-%d', "intakeoutput"."intakeoutputtime") = '04-13' | 0.77832 |
CREATE TABLE Customer_Policies (Policy_ID NUMBER, Customer_ID NUMBER, Policy_Type_Code CHAR, Start_Date DATE, End_Date DATE)
CREATE TABLE Customers (Customer_ID NUMBER, Customer_Details VARCHAR2)
CREATE TABLE Settlements (Settlement_ID NUMBER, Claim_ID NUMBER, Date_Claim_Made DATE, Date_Claim_Settled DATE, Amount_Claimed NUMBER, Amount_Settled NUMBER, Customer_Policy_ID NUMBER)
CREATE TABLE Payments (Payment_ID NUMBER, Settlement_ID NUMBER, Payment_Method_Code VARCHAR2, Date_Payment_Made DATE, Amount_Payment NUMBER)
CREATE TABLE Claims (Claim_ID NUMBER, Policy_ID NUMBER, Date_Claim_Made DATE, Date_Claim_Settled DATE, Amount_Claimed NUMBER, Amount_Settled NUMBER)
| Tell me the trend about the claim dates using a trend line. | SELECT Date_Claim_Settled, COUNT(Date_Claim_Settled) FROM Settlements GROUP BY Date_Claim_Settled | SELECT "Date_Claim_Settled", COUNT("Date_Claim_Settled") FROM "Settlements" GROUP BY "Date_Claim_Settled" | 0.102539 |
CREATE TABLE table_5531 ("Date" CLOB, "Time" CLOB, "Opponent" CLOB, "Score" CLOB, "Loss" CLOB, "Attendance" FLOAT, "Record" CLOB)
| What Time is listed for the Loss of Okajima (1-2)? | SELECT "Time" FROM table_5531 WHERE "Loss" = 'okajima (1-2)' | SELECT "Time" FROM "table_5531" WHERE "Loss" = 'okajima (1-2)' | 0.060547 |
CREATE TABLE finrev_fed_17 (state_code NUMBER, idcensus NUMBER, school_district CLOB, nces_id CLOB, yr_data NUMBER, t_fed_rev NUMBER, c14 NUMBER, c25 NUMBER)
CREATE TABLE ndecoreexcel_math_grade8 (year NUMBER, state CLOB, all_students CLOB, average_scale_score NUMBER)
CREATE TABLE finrev_fed_key_17 (state_code NUMBER, state CLOB)
| State with highest average math score | SELECT state FROM ndecoreexcel_math_grade8 ORDER BY average_scale_score DESC LIMIT 1 | SELECT "state" FROM "ndecoreexcel_math_grade8" ORDER BY "average_scale_score" DESC FETCH FIRST 1 ROWS ONLY | 0.103516 |
CREATE TABLE table_204_3 (id NUMBER, "rank" NUMBER, "name" CLOB, "nationality" CLOB, "time" NUMBER)
| how many competitors were from the united states ? | SELECT COUNT("name") FROM table_204_3 WHERE "nationality" = 'united states' | SELECT COUNT("name") FROM "table_204_3" WHERE "nationality" = 'united states' | 0.075195 |
CREATE TABLE table_26587 ("#" CLOB, "Player" CLOB, "Country" CLOB, "Score" CLOB, "To par" FLOAT, "Winnings ( $ ) " FLOAT, "After" FLOAT, "Before" FLOAT)
| List all before numbers when Geoff Ogilvy was playing. | SELECT "Before" FROM table_26587 WHERE "Player" = 'Geoff Ogilvy' | SELECT "Before" FROM "table_26587" WHERE "Player" = 'Geoff Ogilvy' | 0.064453 |
CREATE TABLE table_18788823_5 (position_in_table VARCHAR2, outgoing_manager VARCHAR2)
| How many times did Keith Downing depart a position? | SELECT COUNT(position_in_table) FROM table_18788823_5 WHERE outgoing_manager = "Keith Downing" | SELECT COUNT("position_in_table") FROM "table_18788823_5" WHERE "Keith Downing" = "outgoing_manager" | 0.097656 |
CREATE TABLE patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
CREATE TABLE d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
CREATE TABLE microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
CREATE TABLE icustays (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, first_careunit CLOB, last_careunit CLOB, first_wardid NUMBER, last_wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE prescriptions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, startdate TIME, enddate TIME, drug CLOB, dose_val_rx CLOB, dose_unit_rx CLOB, route CLOB)
CREATE TABLE chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE admissions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, admittime TIME, dischtime TIME, admission_type CLOB, admission_location CLOB, discharge_location CLOB, insurance CLOB, language CLOB, marital_status CLOB, ethnicity CLOB, age NUMBER)
CREATE TABLE inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
CREATE TABLE d_icd_diagnoses (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 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 procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
| what are the three most commonly prescribed drugs that were prescribed to the patients 40s within the same month after having been diagnosed with prim cardiomyopathy nec until 2 years ago? | SELECT t3.drug FROM (SELECT t2.drug, DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS c1 FROM (SELECT admissions.subject_id, diagnoses_icd.charttime FROM diagnoses_icd JOIN admissions ON diagnoses_icd.hadm_id = admissions.hadm_id WHERE diagnoses_icd.icd9_code = (SELECT d_icd_diagnoses.icd9_code FROM d_icd_diagnoses WHERE d_icd_diagnoses.short_title = 'prim cardiomyopathy nec') AND DATETIME(diagnoses_icd.charttime) <= DATETIME(CURRENT_TIME(), '-2 year')) AS t1 JOIN (SELECT admissions.subject_id, prescriptions.drug, prescriptions.startdate FROM prescriptions JOIN admissions ON prescriptions.hadm_id = admissions.hadm_id WHERE admissions.age BETWEEN 40 AND 49 AND DATETIME(prescriptions.startdate) <= DATETIME(CURRENT_TIME(), '-2 year')) AS t2 ON t1.subject_id = t2.subject_id WHERE t1.charttime < t2.startdate AND DATETIME(t1.charttime, 'start of month') = DATETIME(t2.startdate, 'start of month') GROUP BY t2.drug) AS t3 WHERE t3.c1 <= 3 | WITH "t2" AS (SELECT "admissions"."subject_id", "prescriptions"."drug", "prescriptions"."startdate" FROM "prescriptions" JOIN "admissions" ON "admissions"."age" <= 49 AND "admissions"."age" >= 40 AND "admissions"."hadm_id" = "prescriptions"."hadm_id" WHERE DATETIME("prescriptions"."startdate") <= DATETIME(CURRENT_TIME(), '-2 year')), "t3" AS (SELECT "t2"."drug", DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS "c1" FROM "diagnoses_icd" JOIN "d_icd_diagnoses" ON "d_icd_diagnoses"."icd9_code" = "diagnoses_icd"."icd9_code" AND "d_icd_diagnoses"."short_title" = 'prim cardiomyopathy nec' JOIN "admissions" ON "admissions"."hadm_id" = "diagnoses_icd"."hadm_id" JOIN "t2" "t2" ON "admissions"."subject_id" = "t2"."subject_id" AND "diagnoses_icd"."charttime" < "t2"."startdate" AND DATETIME("diagnoses_icd"."charttime", 'start of month') = DATETIME("t2"."startdate", 'start of month') WHERE DATETIME("diagnoses_icd"."charttime") <= DATETIME(CURRENT_TIME(), '-2 year') GROUP BY "t2"."drug") SELECT "t3"."drug" FROM "t3" "t3" WHERE "t3"."c1" <= 3 | 1.015625 |
CREATE TABLE table_23597 ("Draw" FLOAT, "Artist" CLOB, "Song" CLOB, "Regions" FLOAT, "Studio Audience" FLOAT, "Press Jury" FLOAT, "Oil Rig" FLOAT, "Total Points" FLOAT, "Place" CLOB)
| What's the oil rig of the song that ended on 7th place? | SELECT "Oil Rig" FROM table_23597 WHERE "Place" = '7th' | SELECT "Oil Rig" FROM "table_23597" WHERE "Place" = '7th' | 0.055664 |
CREATE TABLE table_1341598_10 (candidates VARCHAR2, first_elected VARCHAR2)
| Who is the candidate in election where the incumbent was first elected in 1980? | SELECT candidates FROM table_1341598_10 WHERE first_elected = 1980 | SELECT "candidates" FROM "table_1341598_10" WHERE "first_elected" = 1980 | 0.070313 |
CREATE TABLE outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
CREATE TABLE prescriptions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, startdate TIME, enddate TIME, drug CLOB, dose_val_rx CLOB, dose_unit_rx CLOB, route CLOB)
CREATE TABLE inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
CREATE TABLE procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE transfers (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, eventtype CLOB, careunit CLOB, wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
CREATE TABLE 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 microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
CREATE TABLE diagnoses_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 patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
CREATE TABLE 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)
| what is the maximum arterial bp mean of patient 16904 on the first intensive care unit visit? | SELECT MAX(chartevents.valuenum) FROM chartevents WHERE chartevents.icustay_id IN (SELECT icustays.icustay_id FROM icustays WHERE icustays.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 16904) AND NOT icustays.outtime IS NULL ORDER BY icustays.intime LIMIT 1) AND chartevents.itemid IN (SELECT d_items.itemid FROM d_items WHERE d_items.label = 'arterial bp mean' AND d_items.linksto = 'chartevents') | WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 16904 GROUP BY "hadm_id"), "_u_1" AS (SELECT "icustays"."icustay_id" FROM "icustays" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "icustays"."hadm_id" WHERE NOT "_u_0"."" IS NULL AND NOT "icustays"."outtime" IS NULL GROUP BY "icustay_id" ORDER BY "icustays"."intime" FETCH FIRST 1 ROWS ONLY), "_u_2" AS (SELECT "d_items"."itemid" FROM "d_items" WHERE "d_items"."label" = 'arterial bp mean' AND "d_items"."linksto" = 'chartevents' GROUP BY "itemid") SELECT MAX("chartevents"."valuenum") FROM "chartevents" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "chartevents"."icustay_id" LEFT JOIN "_u_2" "_u_2" ON "_u_2"."" = "chartevents"."itemid" WHERE NOT "_u_1"."" IS NULL AND NOT "_u_2"."" IS NULL | 0.759766 |
CREATE TABLE table_name_72 (result VARCHAR2, attendance VARCHAR2)
| Which Result has an Attendance of 60,705? | SELECT result FROM table_name_72 WHERE attendance = "60,705" | SELECT "result" FROM "table_name_72" WHERE "60,705" = "attendance" | 0.064453 |
CREATE TABLE table_64571 ("Rank" FLOAT, "Athlete" CLOB, "Country" CLOB, "Time" CLOB, "Notes" CLOB)
| Who has a time of 7:26.85 and notes of sc/d? | SELECT "Athlete" FROM table_64571 WHERE "Notes" = 'sc/d' AND "Time" = '7:26.85' | SELECT "Athlete" FROM "table_64571" WHERE "Notes" = 'sc/d' AND "Time" = '7:26.85' | 0.079102 |
CREATE TABLE table_52366 ("Home team" CLOB, "Home team score" CLOB, "Away team" CLOB, "Away team score" CLOB, "Venue" CLOB, "Crowd" FLOAT, "Date" CLOB)
| Who was the home team in the game where the away team scored 14.19 (103)? | SELECT "Home team" FROM table_52366 WHERE "Away team score" = '14.19 (103)' | SELECT "Home team" FROM "table_52366" WHERE "Away team score" = '14.19 (103)' | 0.075195 |
CREATE TABLE table_46301 ("Tie no" CLOB, "Home team" CLOB, "Score" CLOB, "Away team" CLOB, "Attendance" CLOB)
| Which tie number had an away team of the Tranmere Rovers? | SELECT "Tie no" FROM table_46301 WHERE "Away team" = 'tranmere rovers' | SELECT "Tie no" FROM "table_46301" WHERE "Away team" = 'tranmere rovers' | 0.070313 |
CREATE TABLE Staff (Name VARCHAR2, Other_Details VARCHAR2)
| Show the names and details of all the staff members. | SELECT Name, Other_Details FROM Staff | SELECT "Name", "Other_Details" FROM "Staff" | 0.041992 |
CREATE TABLE trained_in (physician VARCHAR2, treatment VARCHAR2)
CREATE TABLE procedures (name VARCHAR2, cost NUMBER)
CREATE TABLE physician (employeeid VARCHAR2, name VARCHAR2)
| Find the names of all procedures such that the cost is less than 5000 and physician John Wen was trained in. | SELECT name FROM procedures WHERE cost < 5000 INTERSECT SELECT T3.name FROM physician AS T1 JOIN trained_in AS T2 ON T1.employeeid = T2.physician JOIN procedures AS T3 ON T3.code = T2.treatment WHERE T1.name = "John Wen" | SELECT "name" FROM "procedures" WHERE "cost" < 5000 INTERSECT SELECT "T3"."name" FROM "physician" "T1" JOIN "trained_in" "T2" ON "T1"."employeeid" = "T2"."physician" JOIN "procedures" "T3" ON "T2"."treatment" = "T3"."code" WHERE "John Wen" = "T1"."name" | 0.24707 |
CREATE TABLE table_65402 ("Tournament" CLOB, "2007" CLOB, "2008" CLOB, "2009" CLOB, "2010" CLOB, "2011" CLOB, "2012" CLOB)
| What is the tournament when 2012 is q2? | SELECT "Tournament" FROM table_65402 WHERE "2012" = 'q2' | SELECT "Tournament" FROM "table_65402" WHERE "2012" = 'q2' | 0.056641 |
CREATE TABLE stadium (id NUMBER, name CLOB, home_games NUMBER, average_attendance NUMBER, total_attendance NUMBER, capacity_percentage NUMBER)
CREATE TABLE game (stadium_id NUMBER, id NUMBER, season NUMBER, date CLOB, home_team CLOB, away_team CLOB, score CLOB, competition CLOB)
CREATE TABLE injury_accident (game_id NUMBER, id NUMBER, player CLOB, injury CLOB, number_of_matches CLOB, source CLOB)
| In which season and which stadium did any player have an injury of 'Foot injury' or 'Knee problem'? | SELECT T1.season, T2.name FROM game AS T1 JOIN stadium AS T2 ON T1.stadium_id = T2.id JOIN injury_accident AS T3 ON T1.id = T3.game_id WHERE T3.injury = 'Foot injury' OR T3.injury = 'Knee problem' | SELECT "T1"."season", "T2"."name" FROM "game" "T1" JOIN "stadium" "T2" ON "T1"."stadium_id" = "T2"."id" JOIN "injury_accident" "T3" ON "T1"."id" = "T3"."game_id" AND ("T3"."injury" = 'Foot injury' OR "T3"."injury" = 'Knee problem') | 0.225586 |
CREATE TABLE table_test_27 ("id" NUMBER, "anemia" BOOLEAN, "bleeding" NUMBER, "left_ventricular_ejection_fraction_lvef" NUMBER, "intra_aortic_balloon_pump_iabp" BOOLEAN, "systolic_blood_pressure_sbp" NUMBER, "left_main_stem_coronary_artery_stenosis" NUMBER, "haemoglobin" FLOAT, "renal_disease" BOOLEAN, "creatinine_clearance_cl" FLOAT, "estimated_glomerular_filtration_rate_egfr" NUMBER, "cardiogenic_shock" BOOLEAN, "platelet_count" FLOAT, "iv_pressors" BOOLEAN, "hemodynamic_instability" BOOLEAN, "hypotension" BOOLEAN, "serum_creatinine" FLOAT, "NOUSE" FLOAT)
| history of bleeding disorder | SELECT * FROM table_test_27 WHERE bleeding = 1 | SELECT * FROM "table_test_27" WHERE "bleeding" = 1 | 0.048828 |
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE 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)
| mention the diagnosis long title of diagnosis icd9 code 41512. | SELECT diagnoses.long_title FROM diagnoses WHERE diagnoses.icd9_code = "41512" | SELECT "diagnoses"."long_title" FROM "diagnoses" WHERE "41512" = "diagnoses"."icd9_code" | 0.085938 |
CREATE TABLE table_203_81 (id NUMBER, "date" CLOB, "constituency" CLOB, "gain" CLOB, "loss" CLOB, "note" CLOB)
| for loss , what 's the number of times labor party is listed ? | SELECT COUNT(*) FROM table_203_81 WHERE "loss" = 'labour party' | SELECT COUNT(*) FROM "table_203_81" WHERE "loss" = 'labour party' | 0.063477 |
CREATE TABLE table_62538 ("Year" CLOB, "Arizona" CLOB, "California" CLOB, "Colorado" CLOB, "Nevada" CLOB, "New Mexico" CLOB, "Oklahoma" CLOB, "Texas" CLOB, "Utah" CLOB)
| What's the value for oklahoma when texas is kennedy? | SELECT "Oklahoma" FROM table_62538 WHERE "Texas" = 'kennedy' | SELECT "Oklahoma" FROM "table_62538" WHERE "Texas" = 'kennedy' | 0.060547 |
CREATE TABLE students_in_detention (student_id NUMBER, detention_id NUMBER, incident_id NUMBER)
CREATE TABLE addresses (address_id NUMBER, line_1 CLOB, line_2 CLOB, line_3 CLOB, city CLOB, zip_postcode CLOB, state_province_county CLOB, country CLOB, other_address_details CLOB)
CREATE TABLE ref_address_types (address_type_code CLOB, address_type_description CLOB)
CREATE TABLE assessment_notes (notes_id NUMBER, student_id NUMBER, teacher_id NUMBER, date_of_notes TIME, text_of_notes CLOB, other_details CLOB)
CREATE TABLE students (student_id NUMBER, address_id NUMBER, first_name CLOB, middle_name CLOB, last_name CLOB, cell_mobile_number CLOB, email_address CLOB, date_first_rental TIME, date_left_university TIME, other_student_details CLOB)
CREATE TABLE ref_incident_type (incident_type_code CLOB, incident_type_description CLOB)
CREATE TABLE student_addresses (student_id NUMBER, address_id NUMBER, date_address_from TIME, date_address_to TIME, monthly_rental NUMBER, other_details CLOB)
CREATE TABLE teachers (teacher_id NUMBER, address_id NUMBER, first_name CLOB, middle_name CLOB, last_name CLOB, gender CLOB, cell_mobile_number CLOB, email_address CLOB, other_details CLOB)
CREATE TABLE detention (detention_id NUMBER, detention_type_code CLOB, teacher_id NUMBER, datetime_detention_start TIME, datetime_detention_end TIME, detention_summary CLOB, other_details CLOB)
CREATE TABLE ref_detention_type (detention_type_code CLOB, detention_type_description CLOB)
CREATE TABLE behavior_incident (incident_id NUMBER, incident_type_code CLOB, student_id NUMBER, date_incident_start TIME, date_incident_end TIME, incident_summary CLOB, recommendations CLOB, other_details CLOB)
| List all cities of addresses in alphabetical order. | SELECT city FROM addresses ORDER BY city | SELECT "city" FROM "addresses" ORDER BY "city" | 0.044922 |
CREATE TABLE tryout (pid NUMBER, cname CLOB, ppos CLOB, decision CLOB)
CREATE TABLE player (pid NUMBER, pname CLOB, ycard CLOB, hs NUMBER)
CREATE TABLE college (cname CLOB, state CLOB, enr NUMBER)
| What are the different names of the colleges involved in the tryout in alphabetical order? | SELECT DISTINCT cname FROM tryout ORDER BY cname | SELECT DISTINCT "cname" FROM "tryout" ORDER BY "cname" | 0.052734 |
CREATE TABLE job_history (EMPLOYEE_ID NUMBER, START_DATE DATE, END_DATE DATE, JOB_ID VARCHAR2, DEPARTMENT_ID NUMBER)
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 departments (DEPARTMENT_ID NUMBER, DEPARTMENT_NAME VARCHAR2, MANAGER_ID NUMBER, LOCATION_ID NUMBER)
CREATE TABLE countries (COUNTRY_ID VARCHAR2, COUNTRY_NAME VARCHAR2, REGION_ID NUMBER)
CREATE TABLE locations (LOCATION_ID NUMBER, STREET_ADDRESS VARCHAR2, POSTAL_CODE VARCHAR2, CITY VARCHAR2, STATE_PROVINCE VARCHAR2, COUNTRY_ID VARCHAR2)
CREATE TABLE employees (EMPLOYEE_ID NUMBER, FIRST_NAME VARCHAR2, LAST_NAME VARCHAR2, EMAIL VARCHAR2, PHONE_NUMBER VARCHAR2, HIRE_DATE DATE, JOB_ID VARCHAR2, SALARY NUMBER, COMMISSION_PCT NUMBER, MANAGER_ID NUMBER, DEPARTMENT_ID NUMBER)
| For those employees who do not work in departments with managers that have ids between 100 and 200, show me about the distribution of last_name and salary in a bar chart, and display y-axis in descending order. | SELECT LAST_NAME, SALARY FROM employees WHERE NOT DEPARTMENT_ID IN (SELECT DEPARTMENT_ID FROM departments WHERE MANAGER_ID BETWEEN 100 AND 200) ORDER BY SALARY DESC | SELECT "LAST_NAME", "SALARY" FROM "employees" WHERE NOT "DEPARTMENT_ID" IN (SELECT "DEPARTMENT_ID" FROM "departments" WHERE "MANAGER_ID" <= 200 AND "MANAGER_ID" >= 100) ORDER BY "SALARY" DESC | 0.186523 |
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE 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)
| out of total number of patients on urgent admission, how many of them were asian? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.admission_type = "URGENT" AND demographic.ethnicity = "ASIAN" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "ASIAN" = "demographic"."ethnicity" AND "URGENT" = "demographic"."admission_type" | 0.152344 |
CREATE TABLE table_14903081_1 (tournament VARCHAR2, current_venue VARCHAR2)
| Which tournaments current venue is the Madrid Arena? | SELECT tournament FROM table_14903081_1 WHERE current_venue = "Madrid Arena" | SELECT "tournament" FROM "table_14903081_1" WHERE "Madrid Arena" = "current_venue" | 0.080078 |
CREATE TABLE table_41539 ("Player" CLOB, "Nationality" CLOB, "Position" CLOB, "Years in Orlando" CLOB, "School/Club Team" CLOB)
| What is the team that has forward-center as a position? | SELECT "School/Club Team" FROM table_41539 WHERE "Position" = 'forward-center' | SELECT "School/Club Team" FROM "table_41539" WHERE "Position" = 'forward-center' | 0.078125 |
CREATE TABLE job_history (EMPLOYEE_ID NUMBER, START_DATE DATE, END_DATE DATE, JOB_ID VARCHAR2, DEPARTMENT_ID NUMBER)
CREATE TABLE departments (DEPARTMENT_ID NUMBER, DEPARTMENT_NAME VARCHAR2, MANAGER_ID NUMBER, LOCATION_ID NUMBER)
CREATE TABLE jobs (JOB_ID VARCHAR2, JOB_TITLE VARCHAR2, MIN_SALARY NUMBER, MAX_SALARY NUMBER)
CREATE TABLE 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 regions (REGION_ID NUMBER, REGION_NAME VARCHAR2)
CREATE TABLE employees (EMPLOYEE_ID NUMBER, FIRST_NAME VARCHAR2, LAST_NAME VARCHAR2, EMAIL VARCHAR2, PHONE_NUMBER VARCHAR2, HIRE_DATE DATE, JOB_ID VARCHAR2, SALARY NUMBER, COMMISSION_PCT NUMBER, MANAGER_ID NUMBER, DEPARTMENT_ID NUMBER)
| For those employees who do not work in departments with managers that have ids between 100 and 200, visualize a bar chart about the distribution of phone_number and salary . | SELECT PHONE_NUMBER, SALARY FROM employees WHERE NOT DEPARTMENT_ID IN (SELECT DEPARTMENT_ID FROM departments WHERE MANAGER_ID BETWEEN 100 AND 200) | SELECT "PHONE_NUMBER", "SALARY" FROM "employees" WHERE NOT "DEPARTMENT_ID" IN (SELECT "DEPARTMENT_ID" FROM "departments" WHERE "MANAGER_ID" <= 200 AND "MANAGER_ID" >= 100) | 0.166992 |
CREATE TABLE table_203_27 (id NUMBER, "number" NUMBER, "serial no" NUMBER, "entered service" CLOB, "withdrawn" CLOB, "kilometres travelled" NUMBER)
| what was the most kilometres traveled ? | SELECT MAX("kilometres travelled") FROM table_203_27 | SELECT MAX("kilometres travelled") FROM "table_203_27" | 0.052734 |
CREATE TABLE member (Member_ID CLOB, Name CLOB, Nationality CLOB, Role CLOB)
CREATE TABLE performance (Performance_ID FLOAT, Date CLOB, Host CLOB, Location CLOB, Attendance NUMBER)
CREATE TABLE member_attendance (Member_ID NUMBER, Performance_ID NUMBER, Num_of_Pieces NUMBER)
| Show the dates of performances with attending members whose roles are 'Violin', and count them by a bar chart, and display by the x-axis from low to high. | SELECT Date, COUNT(Date) FROM member_attendance AS T1 JOIN member AS T2 ON T1.Member_ID = T2.Member_ID JOIN performance AS T3 ON T1.Performance_ID = T3.Performance_ID WHERE T2.Role = "Violin" GROUP BY Date ORDER BY Date | SELECT "Date", COUNT("Date") FROM "member_attendance" "T1" JOIN "member" "T2" ON "T1"."Member_ID" = "T2"."Member_ID" AND "T2"."Role" = "Violin" JOIN "performance" "T3" ON "T1"."Performance_ID" = "T3"."Performance_ID" GROUP BY "Date" ORDER BY "Date" | 0.242188 |
CREATE TABLE microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
CREATE TABLE icustays (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, first_careunit CLOB, last_careunit CLOB, first_wardid NUMBER, last_wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE 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 outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
CREATE TABLE transfers (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, eventtype CLOB, careunit CLOB, wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE 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 d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
CREATE TABLE d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE admissions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, admittime TIME, dischtime TIME, admission_type CLOB, admission_location CLOB, discharge_location CLOB, insurance CLOB, language CLOB, marital_status CLOB, ethnicity CLOB, age NUMBER)
CREATE TABLE 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 inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
CREATE TABLE cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
| what is the average amount of the total hospital cost which involves hemochromatosis nec since 4 years ago? | SELECT AVG(t1.c1) FROM (SELECT SUM(cost.cost) AS c1 FROM cost WHERE cost.hadm_id IN (SELECT diagnoses_icd.hadm_id FROM diagnoses_icd WHERE diagnoses_icd.icd9_code = (SELECT d_icd_diagnoses.icd9_code FROM d_icd_diagnoses WHERE d_icd_diagnoses.short_title = 'hemochromatosis nec')) AND DATETIME(cost.chargetime) >= DATETIME(CURRENT_TIME(), '-4 year') GROUP BY cost.hadm_id) AS t1 | WITH "_u_1" AS (SELECT "diagnoses_icd"."hadm_id" FROM "diagnoses_icd" JOIN "d_icd_diagnoses" ON "d_icd_diagnoses"."icd9_code" = "diagnoses_icd"."icd9_code" AND "d_icd_diagnoses"."short_title" = 'hemochromatosis nec' GROUP BY "hadm_id"), "t1" AS (SELECT SUM("cost"."cost") AS "c1" FROM "cost" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "cost"."hadm_id" WHERE DATETIME("cost"."chargetime") >= DATETIME(CURRENT_TIME(), '-4 year') AND NOT "_u_1"."" IS NULL GROUP BY "cost"."hadm_id") SELECT AVG("t1"."c1") FROM "t1" "t1" | 0.5 |
CREATE TABLE table_name_59 (college_junior_club_team VARCHAR2, pick VARCHAR2)
| Which college or team has a pick of 196? | SELECT college_junior_club_team FROM table_name_59 WHERE pick = "196" | SELECT "college_junior_club_team" FROM "table_name_59" WHERE "196" = "pick" | 0.073242 |
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 locations (LOCATION_ID NUMBER, STREET_ADDRESS VARCHAR2, POSTAL_CODE VARCHAR2, CITY VARCHAR2, STATE_PROVINCE VARCHAR2, COUNTRY_ID VARCHAR2)
CREATE TABLE jobs (JOB_ID VARCHAR2, JOB_TITLE VARCHAR2, MIN_SALARY NUMBER, MAX_SALARY NUMBER)
CREATE TABLE departments (DEPARTMENT_ID NUMBER, DEPARTMENT_NAME VARCHAR2, MANAGER_ID NUMBER, LOCATION_ID NUMBER)
CREATE TABLE countries (COUNTRY_ID VARCHAR2, COUNTRY_NAME VARCHAR2, REGION_ID NUMBER)
CREATE TABLE 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)
| For those employees whose salary is in the range of 8000 and 12000 and commission is not null or department number does not equal to 40, visualize a scatter chart about the correlation between salary and commission_pct . | SELECT SALARY, COMMISSION_PCT FROM employees WHERE SALARY BETWEEN 8000 AND 12000 AND COMMISSION_PCT <> "null" OR DEPARTMENT_ID <> 40 | SELECT "SALARY", "COMMISSION_PCT" FROM "employees" WHERE ("COMMISSION_PCT" <> "null" OR "DEPARTMENT_ID" <> 40) AND ("DEPARTMENT_ID" <> 40 OR "SALARY" <= 12000) AND ("DEPARTMENT_ID" <> 40 OR "SALARY" >= 8000) | 0.202148 |
CREATE TABLE Products (product_id NUMBER, parent_product_id NUMBER, production_type_code VARCHAR2, unit_price NUMBER, product_name VARCHAR2, product_color VARCHAR2, product_size VARCHAR2)
CREATE TABLE Orders (order_id NUMBER, customer_id NUMBER, date_order_placed DATETIME, order_details VARCHAR2)
CREATE TABLE Order_Items (order_item_id NUMBER, order_id NUMBER, product_id NUMBER, product_quantity VARCHAR2, other_order_item_details VARCHAR2)
CREATE TABLE Accounts (account_id NUMBER, customer_id NUMBER, date_account_opened DATETIME, account_name VARCHAR2, other_account_details VARCHAR2)
CREATE TABLE Product_Categories (production_type_code VARCHAR2, product_type_description VARCHAR2, vat_rating NUMBER)
CREATE TABLE Financial_Transactions (transaction_id NUMBER, account_id NUMBER, invoice_number NUMBER, transaction_type VARCHAR2, transaction_date DATETIME, transaction_amount NUMBER, transaction_comment VARCHAR2, other_transaction_details VARCHAR2)
CREATE TABLE Customers (customer_id NUMBER, customer_first_name VARCHAR2, customer_middle_initial VARCHAR2, customer_last_name VARCHAR2, gender VARCHAR2, email_address VARCHAR2, login_name VARCHAR2, login_password VARCHAR2, phone_number VARCHAR2, town_city VARCHAR2, state_county_province VARCHAR2, country VARCHAR2)
CREATE TABLE Invoices (invoice_number NUMBER, order_id NUMBER, invoice_date DATETIME)
CREATE TABLE Invoice_Line_Items (order_item_id NUMBER, invoice_number NUMBER, product_id NUMBER, product_title VARCHAR2, product_quantity VARCHAR2, product_price NUMBER, derived_product_cost NUMBER, derived_vat_payable NUMBER, derived_total_cost NUMBER)
| What is the relationship between account name and the number of transactions for each account? Return a scatter chart. | SELECT account_name, COUNT(*) FROM Financial_Transactions AS T1 JOIN Accounts AS T2 ON T1.account_id = T2.account_id GROUP BY T1.account_id | SELECT "account_name", COUNT(*) FROM "Financial_Transactions" "T1" JOIN "Accounts" "T2" ON "T1"."account_id" = "T2"."account_id" GROUP BY "T1"."account_id" | 0.151367 |
CREATE TABLE table_203_195 (id NUMBER, "pump type and source" CLOB, "typical use" CLOB, "35 \\u00b0c\ ( e.g. heated screed floor ) " NUMBER, "45 \\u00b0c\ ( e.g. heated screed floor ) " NUMBER, "55 \\u00b0c\ ( e.g. heated timber floor ) " NUMBER, "65 \\u00b0c\ ( e.g. radiator or dhw ) " NUMBER, "75 \\u00b0c\ ( e.g. radiator and dhw ) " NUMBER, "85 \\u00b0c\ ( e.g. radiator and dhw ) " NUMBER)
| which pump had the top cop variation at 35 degrees celsius ? | SELECT "pump type and source" FROM table_203_195 ORDER BY "35 \u00b0c\n(e.g. heated screed floor)" DESC LIMIT 1 | SELECT "pump type and source" FROM "table_203_195" ORDER BY "35 \u00b0c\n(e.g. heated screed floor)" DESC FETCH FIRST 1 ROWS ONLY | 0.125977 |
CREATE TABLE Invoices (invoice_number NUMBER, order_id NUMBER, invoice_date DATETIME)
CREATE TABLE Financial_Transactions (transaction_id NUMBER, account_id NUMBER, invoice_number NUMBER, transaction_type VARCHAR2, transaction_date DATETIME, transaction_amount NUMBER, transaction_comment VARCHAR2, other_transaction_details VARCHAR2)
CREATE TABLE Invoice_Line_Items (order_item_id NUMBER, invoice_number NUMBER, product_id NUMBER, product_title VARCHAR2, product_quantity VARCHAR2, product_price NUMBER, derived_product_cost NUMBER, derived_vat_payable NUMBER, derived_total_cost NUMBER)
CREATE TABLE Product_Categories (production_type_code VARCHAR2, product_type_description VARCHAR2, vat_rating NUMBER)
CREATE TABLE Products (product_id NUMBER, parent_product_id NUMBER, production_type_code VARCHAR2, unit_price NUMBER, product_name VARCHAR2, product_color VARCHAR2, product_size VARCHAR2)
CREATE TABLE Order_Items (order_item_id NUMBER, order_id NUMBER, product_id NUMBER, product_quantity VARCHAR2, other_order_item_details VARCHAR2)
CREATE TABLE Customers (customer_id NUMBER, customer_first_name VARCHAR2, customer_middle_initial VARCHAR2, customer_last_name VARCHAR2, gender VARCHAR2, email_address VARCHAR2, login_name VARCHAR2, login_password VARCHAR2, phone_number VARCHAR2, town_city VARCHAR2, state_county_province VARCHAR2, country VARCHAR2)
CREATE TABLE Accounts (account_id NUMBER, customer_id NUMBER, date_account_opened DATETIME, account_name VARCHAR2, other_account_details VARCHAR2)
CREATE TABLE Orders (order_id NUMBER, customer_id NUMBER, date_order_placed DATETIME, order_details VARCHAR2)
| Plot a scatter chart, invoice number by the total number . | SELECT invoice_number, COUNT(*) FROM Financial_Transactions GROUP BY invoice_number | SELECT "invoice_number", COUNT(*) FROM "Financial_Transactions" GROUP BY "invoice_number" | 0.086914 |
CREATE TABLE table_14822 ("Team 1" CLOB, "Agg." CLOB, "Team 2" CLOB, "1st leg" CLOB, "2nd leg" CLOB)
| What was the 2nd leg score for Al-Merrikh as team 2? | SELECT "2nd leg" FROM table_14822 WHERE "Team 2" = 'al-merrikh' | SELECT "2nd leg" FROM "table_14822" WHERE "Team 2" = 'al-merrikh' | 0.063477 |
CREATE TABLE table_15734 ("Year" FLOAT, "Entrant" CLOB, "Chassis" CLOB, "Engine" CLOB, "Points" FLOAT)
| What chassis did the BRM V8 engine have? | SELECT "Chassis" FROM table_15734 WHERE "Engine" = 'brm v8' | SELECT "Chassis" FROM "table_15734" WHERE "Engine" = 'brm v8' | 0.05957 |
CREATE TABLE table_name_82 (winning_constructor VARCHAR2, circuit VARCHAR2)
| What Winning constructor has a Circuit of lasarte? | SELECT winning_constructor FROM table_name_82 WHERE circuit = "lasarte" | SELECT "winning_constructor" FROM "table_name_82" WHERE "circuit" = "lasarte" | 0.075195 |
CREATE TABLE table_45527 ("Rider" CLOB, "Manufacturer" CLOB, "Laps" CLOB, "Time/Retired" CLOB, "Grid" CLOB)
| Which manufacturer has 8 laps? | SELECT "Manufacturer" FROM table_45527 WHERE "Laps" = '8' | SELECT "Manufacturer" FROM "table_45527" WHERE "Laps" = '8' | 0.057617 |
CREATE TABLE program_requirement (program_id NUMBER, category VARCHAR2, min_credit NUMBER, additional_req VARCHAR2)
CREATE TABLE student (student_id NUMBER, lastname VARCHAR2, firstname VARCHAR2, program_id NUMBER, declare_major VARCHAR2, total_credit NUMBER, total_gpa FLOAT, entered_as VARCHAR2, admit_term NUMBER, predicted_graduation_semester NUMBER, degree VARCHAR2, minor VARCHAR2, internship VARCHAR2)
CREATE TABLE instructor (instructor_id NUMBER, name VARCHAR2, uniqname VARCHAR2)
CREATE TABLE requirement (requirement_id NUMBER, requirement VARCHAR2, college VARCHAR2)
CREATE TABLE jobs (job_id NUMBER, job_title VARCHAR2, description VARCHAR2, requirement VARCHAR2, city VARCHAR2, state VARCHAR2, country VARCHAR2, zip NUMBER)
CREATE TABLE course (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 course_prerequisite (pre_course_id NUMBER, course_id NUMBER)
CREATE TABLE student_record (student_id NUMBER, course_id NUMBER, semester NUMBER, grade VARCHAR2, how VARCHAR2, transfer_source VARCHAR2, earn_credit VARCHAR2, repeat_term VARCHAR2, test_id VARCHAR2)
CREATE TABLE course_offering (offering_id NUMBER, course_id NUMBER, semester NUMBER, section_number NUMBER, start_time TIME, end_time TIME, monday VARCHAR2, tuesday VARCHAR2, wednesday VARCHAR2, thursday VARCHAR2, friday VARCHAR2, saturday VARCHAR2, sunday VARCHAR2, has_final_project VARCHAR2, has_final_exam VARCHAR2, textbook VARCHAR2, class_address VARCHAR2, allow_audit VARCHAR2)
CREATE TABLE program_course (program_id NUMBER, course_id NUMBER, workload NUMBER, category VARCHAR2)
CREATE TABLE area (course_id NUMBER, area VARCHAR2)
CREATE TABLE program (program_id NUMBER, name VARCHAR2, college VARCHAR2, introduction VARCHAR2)
CREATE TABLE offering_instructor (offering_instructor_id NUMBER, offering_id NUMBER, instructor_id NUMBER)
CREATE TABLE ta (campus_job_id NUMBER, student_id NUMBER, location VARCHAR2)
CREATE TABLE gsi (course_offering_id NUMBER, student_id NUMBER)
CREATE TABLE comment_instructor (instructor_id NUMBER, student_id NUMBER, score NUMBER, comment_text VARCHAR2)
CREATE TABLE semester (semester_id NUMBER, semester VARCHAR2, year NUMBER)
CREATE TABLE 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)
| When Rose Wheeler was taking the HISTORY 473 class , who was teaching it ? | SELECT DISTINCT instructor.name FROM instructor INNER JOIN offering_instructor ON offering_instructor.instructor_id = instructor.instructor_id INNER JOIN student_record ON student_record.offering_id = offering_instructor.offering_id INNER JOIN student ON student.student_id = student_record.student_id INNER JOIN course_offering ON offering_instructor.offering_id = course_offering.offering_id INNER JOIN course ON course.course_id = course_offering.course_id WHERE course.department = 'HISTORY' AND course.number = 473 AND student.firstname LIKE 'Rose' AND student.lastname LIKE 'Wheeler' | SELECT DISTINCT "instructor"."name" FROM "instructor" JOIN "offering_instructor" ON "instructor"."instructor_id" = "offering_instructor"."instructor_id" JOIN "course_offering" ON "course_offering"."offering_id" = "offering_instructor"."offering_id" JOIN "student_record" ON "offering_instructor"."offering_id" = "student_record"."offering_id" JOIN "course" ON "course"."course_id" = "course_offering"."course_id" AND "course"."department" = 'HISTORY' AND "course"."number" = 473 JOIN "student" ON "student"."firstname" LIKE 'Rose' AND "student"."lastname" LIKE 'Wheeler' AND "student"."student_id" = "student_record"."student_id" | 0.614258 |
CREATE TABLE table_62799 ("Player" CLOB, "Matches" CLOB, "Overs" CLOB, "Wickets" CLOB, "Economy Rate" CLOB, "Average" CLOB, "Strike Rate" CLOB)
| What is the overs when the matches are 10? | SELECT "Overs" FROM table_62799 WHERE "Matches" = '10' | SELECT "Overs" FROM "table_62799" WHERE "Matches" = '10' | 0.054688 |
CREATE TABLE election (Vote_Percent NUMBER)
| What are the minimum and maximum vote percents of elections? | SELECT MIN(Vote_Percent), MAX(Vote_Percent) FROM election | SELECT MIN("Vote_Percent"), MAX("Vote_Percent") FROM "election" | 0.061523 |
CREATE TABLE table_10707176_2 (winning_driver VARCHAR2, rnd VARCHAR2)
| How many winning drivers were the for the rnd equalling 5? | SELECT COUNT(winning_driver) FROM table_10707176_2 WHERE rnd = "5" | SELECT COUNT("winning_driver") FROM "table_10707176_2" WHERE "5" = "rnd" | 0.070313 |
CREATE TABLE table_name_78 (pts_game VARCHAR2, games VARCHAR2, name VARCHAR2)
| what is the pts/game for Charlotte barras and the games is 5? | SELECT pts_game FROM table_name_78 WHERE games = 5 AND name = "charlotte barras" | SELECT "pts_game" FROM "table_name_78" WHERE "charlotte barras" = "name" AND "games" = 5 | 0.085938 |
CREATE TABLE table_80291 ("NBR number" FLOAT, "Year" FLOAT, "Original operator" CLOB, "Class" CLOB, "Wheel arrangement" CLOB, "Road number" FLOAT, "Location" CLOB)
| Which original operator is in the 25nc class? | SELECT "Original operator" FROM table_80291 WHERE "Class" = '25nc' | SELECT "Original operator" FROM "table_80291" WHERE "Class" = '25nc' | 0.066406 |
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 d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
CREATE TABLE cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE icustays (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, first_careunit CLOB, last_careunit CLOB, first_wardid NUMBER, last_wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
CREATE TABLE prescriptions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, startdate TIME, enddate TIME, drug CLOB, dose_val_rx CLOB, dose_unit_rx CLOB, route CLOB)
CREATE TABLE d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
CREATE TABLE transfers (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, eventtype CLOB, careunit CLOB, wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE admissions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, admittime TIME, dischtime TIME, admission_type CLOB, admission_location CLOB, discharge_location CLOB, insurance CLOB, language CLOB, marital_status CLOB, ethnicity CLOB, age NUMBER)
CREATE TABLE inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
CREATE TABLE microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
| count the number of patients who have received a coronar arteriogr-2 cath procedure in the same hospital visit after having received a partial ostectomy nec. | SELECT COUNT(DISTINCT t1.subject_id) FROM (SELECT admissions.subject_id, procedures_icd.charttime, admissions.hadm_id FROM procedures_icd JOIN admissions ON procedures_icd.hadm_id = admissions.hadm_id WHERE procedures_icd.icd9_code = (SELECT d_icd_procedures.icd9_code FROM d_icd_procedures WHERE d_icd_procedures.short_title = 'partial ostectomy nec')) AS t1 JOIN (SELECT admissions.subject_id, procedures_icd.charttime, admissions.hadm_id FROM procedures_icd JOIN admissions ON procedures_icd.hadm_id = admissions.hadm_id WHERE procedures_icd.icd9_code = (SELECT d_icd_procedures.icd9_code FROM d_icd_procedures WHERE d_icd_procedures.short_title = 'coronar arteriogr-2 cath')) AS t2 ON t1.subject_id = t2.subject_id WHERE t1.charttime < t2.charttime AND t1.hadm_id = t2.hadm_id | WITH "t2" AS (SELECT "admissions"."subject_id", "procedures_icd"."charttime", "admissions"."hadm_id" FROM "procedures_icd" JOIN "d_icd_procedures" ON "d_icd_procedures"."icd9_code" = "procedures_icd"."icd9_code" AND "d_icd_procedures"."short_title" = 'coronar arteriogr-2 cath' JOIN "admissions" ON "admissions"."hadm_id" = "procedures_icd"."hadm_id") SELECT COUNT(DISTINCT "admissions"."subject_id") FROM "procedures_icd" JOIN "d_icd_procedures" ON "d_icd_procedures"."icd9_code" = "procedures_icd"."icd9_code" AND "d_icd_procedures"."short_title" = 'partial ostectomy nec' JOIN "admissions" ON "admissions"."hadm_id" = "procedures_icd"."hadm_id" JOIN "t2" "t2" ON "admissions"."hadm_id" = "t2"."hadm_id" AND "admissions"."subject_id" = "t2"."subject_id" AND "procedures_icd"."charttime" < "t2"."charttime" | 0.788086 |
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)
CREATE TABLE treatment (treatmentid NUMBER, patientunitstayid NUMBER, treatmentname CLOB, treatmenttime TIME)
CREATE TABLE allergy (allergyid NUMBER, patientunitstayid NUMBER, drugname CLOB, allergyname CLOB, allergytime TIME)
CREATE TABLE lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime TIME)
CREATE TABLE microlab (microlabid NUMBER, patientunitstayid NUMBER, culturesite CLOB, organism CLOB, culturetakentime TIME)
CREATE TABLE vitalperiodic (vitalperiodicid NUMBER, patientunitstayid NUMBER, temperature NUMBER, sao2 NUMBER, heartrate NUMBER, respiration NUMBER, systemicsystolic NUMBER, systemicdiastolic NUMBER, systemicmean NUMBER, observationtime TIME)
CREATE TABLE medication (medicationid NUMBER, patientunitstayid NUMBER, drugname CLOB, dosage CLOB, routeadmin CLOB, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE 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)
| what are the four most commonly given lab tests since 2104 for patients who were previously diagnosed with lower gi bleeding - diverticular during the same month? | SELECT t3.labname FROM (SELECT t2.labname, DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS c1 FROM (SELECT patient.uniquepid, diagnosis.diagnosistime FROM diagnosis JOIN patient ON diagnosis.patientunitstayid = patient.patientunitstayid WHERE diagnosis.diagnosisname = 'lower gi bleeding - diverticular' AND STRFTIME('%y', diagnosis.diagnosistime) >= '2104') AS t1 JOIN (SELECT patient.uniquepid, lab.labname, lab.labresulttime FROM lab JOIN patient ON lab.patientunitstayid = patient.patientunitstayid WHERE STRFTIME('%y', lab.labresulttime) >= '2104') AS t2 ON t1.uniquepid = t2.uniquepid WHERE t1.diagnosistime < t2.labresulttime AND DATETIME(t1.diagnosistime, 'start of month') = DATETIME(t2.labresulttime, 'start of month') GROUP BY t2.labname) AS t3 WHERE t3.c1 <= 4 | WITH "t2" AS (SELECT "patient"."uniquepid", "lab"."labname", "lab"."labresulttime" FROM "lab" JOIN "patient" ON "lab"."patientunitstayid" = "patient"."patientunitstayid" WHERE STRFTIME('%y', "lab"."labresulttime") >= '2104'), "t3" AS (SELECT "t2"."labname", DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS "c1" FROM "diagnosis" JOIN "patient" ON "diagnosis"."patientunitstayid" = "patient"."patientunitstayid" JOIN "t2" "t2" ON "diagnosis"."diagnosistime" < "t2"."labresulttime" AND "patient"."uniquepid" = "t2"."uniquepid" AND DATETIME("diagnosis"."diagnosistime", 'start of month') = DATETIME("t2"."labresulttime", 'start of month') WHERE "diagnosis"."diagnosisname" = 'lower gi bleeding - diverticular' AND STRFTIME('%y', "diagnosis"."diagnosistime") >= '2104' GROUP BY "t2"."labname") SELECT "t3"."labname" FROM "t3" "t3" WHERE "t3"."c1" <= 4 | 0.824219 |
CREATE TABLE table_28343 ("No. in series" CLOB, "No. in season" CLOB, "Title" CLOB, "Animation directors" CLOB, "Written by" CLOB, "Original air date" CLOB)
| How many titles are there for the original air date April 3, 2012? | SELECT COUNT("Title") FROM table_28343 WHERE "Original air date" = 'April 3, 2012' | SELECT COUNT("Title") FROM "table_28343" WHERE "Original air date" = 'April 3, 2012' | 0.082031 |
CREATE TABLE table_23353 ("School" CLOB, "City / Town" CLOB, "Website" CLOB, "Size" FLOAT, "Principal" CLOB, "Grades" CLOB, "IDOE Profile" CLOB)
| What is the name of the school/s in North Manchester? | SELECT "School" FROM table_23353 WHERE "City / Town" = 'North Manchester' | SELECT "School" FROM "table_23353" WHERE "City / Town" = 'North Manchester' | 0.073242 |
CREATE TABLE table_43933 ("Pick #" FLOAT, "CFL Team" CLOB, "Player" CLOB, "Position" CLOB, "College" CLOB)
| What was the pick number for the WR position? | SELECT "Pick #" FROM table_43933 WHERE "Position" = 'wr' | SELECT "Pick #" FROM "table_43933" WHERE "Position" = 'wr' | 0.056641 |
CREATE TABLE csu_fees (campus NUMBER, year NUMBER, campusfee NUMBER)
CREATE TABLE enrollments (campus NUMBER, year NUMBER, totalenrollment_ay NUMBER, fte_ay NUMBER)
CREATE TABLE degrees (year NUMBER, campus NUMBER, degrees NUMBER)
CREATE TABLE faculty (campus NUMBER, year NUMBER, faculty NUMBER)
CREATE TABLE campuses (id NUMBER, campus CLOB, location CLOB, county CLOB, year NUMBER)
CREATE TABLE discipline_enrollments (campus NUMBER, discipline NUMBER, year NUMBER, undergraduate NUMBER, graduate NUMBER)
| What campus has the most faculties in 2003? | SELECT T1.campus FROM campuses AS T1 JOIN faculty AS T2 ON T1.id = T2.campus WHERE T2.year = 2003 ORDER BY T2.faculty DESC LIMIT 1 | SELECT "T1"."campus" FROM "campuses" "T1" JOIN "faculty" "T2" ON "T1"."id" = "T2"."campus" AND "T2"."year" = 2003 ORDER BY "T2"."faculty" DESC FETCH FIRST 1 ROWS ONLY | 0.162109 |
CREATE TABLE table_203_413 (id NUMBER, "rank" CLOB, "city" CLOB, "population" NUMBER, "area\ ( km2 ) " NUMBER, "density\ ( inhabitants/km2 ) " NUMBER, "altitude\ ( mslm ) " NUMBER)
| how many cities do not have lower populations than valenza ? | SELECT COUNT("city") FROM table_203_413 WHERE "city" <> 'valenza' AND "population" >= (SELECT "population" FROM table_203_413 WHERE "city" = 'valenza') | SELECT COUNT("city") FROM "table_203_413" WHERE "city" <> 'valenza' AND "population" >= (SELECT "population" FROM "table_203_413" WHERE "city" = 'valenza') | 0.151367 |
CREATE TABLE table_66819 ("Year" CLOB, "Start" CLOB, "Qual" CLOB, "Rank" CLOB, "Finish" CLOB, "Laps" FLOAT)
| What was the qual when the rank was 2? | SELECT "Qual" FROM table_66819 WHERE "Rank" = '2' | SELECT "Qual" FROM "table_66819" WHERE "Rank" = '2' | 0.049805 |
CREATE TABLE table_20657 ("Year" CLOB, "Total matches" FLOAT, "Total W-L-H" CLOB, "Singles W-L-H" CLOB, "Foursomes W-L-H" CLOB, "Fourballs W-L-H" CLOB, "Points won" CLOB, "Points %" CLOB)
| What was the foursome's record in 2002? | SELECT "Foursomes W-L-H" FROM table_20657 WHERE "Year" = '2002' | SELECT "Foursomes W-L-H" FROM "table_20657" WHERE "Year" = '2002' | 0.063477 |
CREATE TABLE table_35925 ("Year" FLOAT, "Tournament" CLOB, "Venue" CLOB, "Result" CLOB, "Extra" CLOB)
| What tournament has a year prior to 2001? | SELECT "Tournament" FROM table_35925 WHERE "Year" < '2001' | SELECT "Tournament" FROM "table_35925" WHERE "Year" < '2001' | 0.058594 |
CREATE TABLE medication (medicationid NUMBER, patientunitstayid NUMBER, drugname CLOB, dosage CLOB, routeadmin CLOB, drugstarttime TIME, drugstoptime TIME)
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 lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime TIME)
CREATE TABLE cost (costid NUMBER, uniquepid CLOB, patienthealthsystemstayid NUMBER, eventtype CLOB, eventid NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE allergy (allergyid NUMBER, patientunitstayid NUMBER, drugname CLOB, allergyname CLOB, allergytime TIME)
CREATE TABLE treatment (treatmentid NUMBER, patientunitstayid NUMBER, treatmentname CLOB, treatmenttime TIME)
CREATE TABLE microlab (microlabid NUMBER, patientunitstayid NUMBER, culturesite CLOB, organism CLOB, culturetakentime TIME)
CREATE TABLE patient (uniquepid CLOB, patienthealthsystemstayid NUMBER, patientunitstayid NUMBER, gender CLOB, age CLOB, ethnicity CLOB, hospitalid NUMBER, wardid NUMBER, admissionheight NUMBER, admissionweight NUMBER, dischargeweight NUMBER, hospitaladmittime TIME, hospitaladmitsource CLOB, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus CLOB)
CREATE TABLE 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)
| how many times patient 006-76924's urinary catheter output: indwelling/continuous ure output has been produced since 12/02/2100? | SELECT COUNT(*) FROM intakeoutput WHERE intakeoutput.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '006-76924')) AND intakeoutput.cellpath LIKE '%output%' AND intakeoutput.celllabel = 'urinary catheter output: indwelling/continuous ure' AND STRFTIME('%y-%m-%d', intakeoutput.intakeoutputtime) >= '2100-12-02' | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '006-76924' GROUP BY "patienthealthsystemstayid"), "_u_1" AS (SELECT "patient"."patientunitstayid" FROM "patient" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "patient"."patienthealthsystemstayid" WHERE NOT "_u_0"."" IS NULL GROUP BY "patientunitstayid") SELECT COUNT(*) FROM "intakeoutput" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "intakeoutput"."patientunitstayid" WHERE "intakeoutput"."celllabel" = 'urinary catheter output: indwelling/continuous ure' AND "intakeoutput"."cellpath" LIKE '%output%' AND NOT "_u_1"."" IS NULL AND STRFTIME('%y-%m-%d', "intakeoutput"."intakeoutputtime") >= '2100-12-02' | 0.683594 |
CREATE TABLE table_name_66 (erp_w NUMBER, frequency_mhz VARCHAR2)
| What does the ERP W sum equal for 105.1 fm frequency? | SELECT SUM(erp_w) FROM table_name_66 WHERE frequency_mhz = "105.1 fm" | SELECT SUM("erp_w") FROM "table_name_66" WHERE "105.1 fm" = "frequency_mhz" | 0.073242 |
CREATE TABLE COURSE (CRS_CODE VARCHAR2, DEPT_CODE VARCHAR2, CRS_DESCRIPTION VARCHAR2, CRS_CREDIT FLOAT)
CREATE TABLE STUDENT (STU_NUM NUMBER, STU_LNAME VARCHAR2, STU_FNAME VARCHAR2, STU_INIT VARCHAR2, STU_DOB DATETIME, STU_HRS NUMBER, STU_CLASS VARCHAR2, STU_GPA FLOAT, STU_TRANSFER NUMBER, DEPT_CODE VARCHAR2, STU_PHONE VARCHAR2, PROF_NUM NUMBER)
CREATE TABLE DEPARTMENT (DEPT_CODE VARCHAR2, DEPT_NAME VARCHAR2, SCHOOL_CODE VARCHAR2, EMP_NUM NUMBER, DEPT_ADDRESS VARCHAR2, DEPT_EXTENSION VARCHAR2)
CREATE TABLE CLASS (CLASS_CODE VARCHAR2, CRS_CODE VARCHAR2, CLASS_SECTION VARCHAR2, CLASS_TIME VARCHAR2, CLASS_ROOM VARCHAR2, PROF_NUM NUMBER)
CREATE TABLE PROFESSOR (EMP_NUM NUMBER, DEPT_CODE VARCHAR2, PROF_OFFICE VARCHAR2, PROF_EXTENSION VARCHAR2, PROF_HIGH_DEGREE VARCHAR2)
CREATE TABLE ENROLL (CLASS_CODE VARCHAR2, STU_NUM NUMBER, ENROLL_GRADE VARCHAR2)
CREATE TABLE EMPLOYEE (EMP_NUM NUMBER, EMP_LNAME VARCHAR2, EMP_FNAME VARCHAR2, EMP_INITIAL VARCHAR2, EMP_JOBCODE VARCHAR2, EMP_HIREDATE DATETIME, EMP_DOB DATETIME)
| What is the lowest student GPA for every department? Return a bar chart. | SELECT DEPT_CODE, MIN(STU_GPA) FROM STUDENT GROUP BY DEPT_CODE | SELECT "DEPT_CODE", MIN("STU_GPA") FROM "STUDENT" GROUP BY "DEPT_CODE" | 0.068359 |
CREATE TABLE table_39833 ("Name" CLOB, "Height" CLOB, "Position" CLOB, "Year" CLOB, "Home Town" CLOB)
| What is the Name of the Junior from Fayetteville, NC? | SELECT "Name" FROM table_39833 WHERE "Year" = 'junior' AND "Home Town" = 'fayetteville, nc' | SELECT "Name" FROM "table_39833" WHERE "Home Town" = 'fayetteville, nc' AND "Year" = 'junior' | 0.09082 |
CREATE TABLE Comments (Id NUMBER, PostId NUMBER, Score NUMBER, Text CLOB, CreationDate TIME, UserDisplayName CLOB, UserId NUMBER, ContentLicense CLOB)
CREATE TABLE PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId NUMBER)
CREATE TABLE PendingFlags (Id NUMBER, FlagTypeId NUMBER, PostId NUMBER, CreationDate TIME, CloseReasonTypeId NUMBER, CloseAsOffTopicReasonTypeId NUMBER, DuplicateOfQuestionId NUMBER, BelongsOnBaseHostAddress CLOB)
CREATE TABLE PostTypes (Id NUMBER, Name CLOB)
CREATE TABLE Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
CREATE TABLE CloseReasonTypes (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 ReviewTaskTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE VoteTypes (Id NUMBER, Name CLOB)
CREATE TABLE ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId 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 Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount NUMBER)
CREATE TABLE PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
CREATE TABLE ReviewTaskStates (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE 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 TagSynonyms (Id NUMBER, SourceTagName CLOB, TargetTagName CLOB, CreationDate TIME, OwnerUserId NUMBER, AutoRenameCount NUMBER, LastAutoRename TIME, Score NUMBER, ApprovedByUserId NUMBER, ApprovalDate TIME)
CREATE TABLE ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment CLOB)
CREATE TABLE ReviewTaskResultTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
CREATE TABLE Posts (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE SuggestedEdits (Id NUMBER, PostId NUMBER, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId NUMBER, Comment CLOB, Text CLOB, Title CLOB, Tags CLOB, RevisionGUID other)
CREATE TABLE PostHistory (Id NUMBER, PostHistoryTypeId NUMBER, PostId NUMBER, RevisionGUID other, CreationDate TIME, UserId NUMBER, UserDisplayName CLOB, Comment CLOB, Text CLOB, ContentLicense CLOB)
CREATE TABLE Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
CREATE TABLE PostTags (PostId NUMBER, TagId NUMBER)
CREATE TABLE PostHistoryTypes (Id NUMBER, Name 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 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 SuggestedEditVotes (Id NUMBER, SuggestedEditId NUMBER, UserId NUMBER, VoteTypeId NUMBER, CreationDate TIME, TargetUserId NUMBER, TargetRepChange NUMBER)
| Favorites that you haven't posted in. | SELECT Votes.PostId AS "post_link", Votes.CreationDate, COUNT(*) AS "AnswerNo" FROM Votes AS votes JOIN Posts AS questions ON Votes.PostId = questions.Id JOIN Posts AS answers ON Votes.PostId = answers.ParentId WHERE Votes.VoteTypeId = 5 AND Votes.UserId = '##UserId##' GROUP BY Votes.PostId, Votes.CreationDate HAVING SUM(CASE WHEN (answers.OwnerUserId = '##UserId##' OR questions.OwnerUserId = '##UserId##') THEN 1 ELSE 0 END) = 0 ORDER BY Votes.CreationDate DESC | SELECT "Votes"."PostId" AS "post_link", "Votes"."CreationDate", COUNT(*) AS "AnswerNo" FROM "Votes" "votes" JOIN "Posts" "answers" ON "Votes"."PostId" = "answers"."ParentId" JOIN "Posts" "questions" ON "Votes"."PostId" = "questions"."Id" WHERE "Votes"."UserId" = '##UserId##' AND "Votes"."VoteTypeId" = 5 GROUP BY "Votes"."PostId", "Votes"."CreationDate" HAVING SUM(CASE WHEN ("answers"."OwnerUserId" = '##UserId##' OR "questions"."OwnerUserId" = '##UserId##') THEN 1 ELSE 0 END) = 0 ORDER BY "Votes"."CreationDate" DESC | 0.507813 |
CREATE TABLE table_name_61 (translation VARCHAR2, composer VARCHAR2)
| WhatTranslation has a Composer of jacques brel, rod mckuen? | SELECT translation FROM table_name_61 WHERE composer = "jacques brel, rod mckuen" | SELECT "translation" FROM "table_name_61" WHERE "composer" = "jacques brel, rod mckuen" | 0.084961 |
CREATE TABLE table_26020 ("#" FLOAT, "Title" CLOB, "Original airdate" CLOB, "Timeslot" CLOB, "Viewers ( millions ) " CLOB, "Nightly rank" FLOAT, "Weekly rank" FLOAT)
| When did 'Man in the Machine' originally air? | SELECT "Original airdate" FROM table_26020 WHERE "Title" = 'Man in the Machine' | SELECT "Original airdate" FROM "table_26020" WHERE "Title" = 'Man in the Machine' | 0.079102 |
CREATE TABLE PROFESSOR (EMP_NUM NUMBER, DEPT_CODE VARCHAR2, PROF_OFFICE VARCHAR2, PROF_EXTENSION VARCHAR2, PROF_HIGH_DEGREE VARCHAR2)
CREATE TABLE CLASS (CLASS_CODE VARCHAR2, CRS_CODE VARCHAR2, CLASS_SECTION VARCHAR2, CLASS_TIME VARCHAR2, CLASS_ROOM VARCHAR2, PROF_NUM NUMBER)
CREATE TABLE ENROLL (CLASS_CODE VARCHAR2, STU_NUM NUMBER, ENROLL_GRADE VARCHAR2)
CREATE TABLE DEPARTMENT (DEPT_CODE VARCHAR2, DEPT_NAME VARCHAR2, SCHOOL_CODE VARCHAR2, EMP_NUM NUMBER, DEPT_ADDRESS VARCHAR2, DEPT_EXTENSION VARCHAR2)
CREATE TABLE STUDENT (STU_NUM NUMBER, STU_LNAME VARCHAR2, STU_FNAME VARCHAR2, STU_INIT VARCHAR2, STU_DOB DATETIME, STU_HRS NUMBER, STU_CLASS VARCHAR2, STU_GPA FLOAT, STU_TRANSFER NUMBER, DEPT_CODE VARCHAR2, STU_PHONE VARCHAR2, PROF_NUM NUMBER)
CREATE TABLE EMPLOYEE (EMP_NUM NUMBER, EMP_LNAME VARCHAR2, EMP_FNAME VARCHAR2, EMP_INITIAL VARCHAR2, EMP_JOBCODE VARCHAR2, EMP_HIREDATE DATETIME, EMP_DOB DATETIME)
CREATE TABLE COURSE (CRS_CODE VARCHAR2, DEPT_CODE VARCHAR2, CRS_DESCRIPTION VARCHAR2, CRS_CREDIT FLOAT)
| How many courses each teacher taught? Show me a stacked bar chart The x-axis is the instructor's first name and group by course code, and show by the bars from low to high please. | SELECT EMP_FNAME, COUNT(EMP_FNAME) FROM CLASS AS T1 JOIN EMPLOYEE AS T2 ON T1.PROF_NUM = T2.EMP_NUM GROUP BY CRS_CODE, EMP_FNAME ORDER BY EMP_FNAME | SELECT "EMP_FNAME", COUNT("EMP_FNAME") FROM "CLASS" "T1" JOIN "EMPLOYEE" "T2" ON "T1"."PROF_NUM" = "T2"."EMP_NUM" GROUP BY "CRS_CODE", "EMP_FNAME" ORDER BY "EMP_FNAME" | 0.163086 |
CREATE TABLE table_17503169_1 (republican VARCHAR2, incumbent VARCHAR2)
| Who was the republican candidate in the race with incumbent thelma drake? | SELECT republican FROM table_17503169_1 WHERE incumbent = "Thelma Drake" | SELECT "republican" FROM "table_17503169_1" WHERE "Thelma Drake" = "incumbent" | 0.076172 |
CREATE TABLE table_21240 ("Game" FLOAT, "Date" CLOB, "Team" CLOB, "Score" CLOB, "High points" CLOB, "High rebounds" CLOB, "High assists" CLOB, "Location Attendance" CLOB, "Record" CLOB)
| Who did the Trail Blazers play on January 2? | SELECT "Team" FROM table_21240 WHERE "Date" = 'January 2' | SELECT "Team" FROM "table_21240" WHERE "Date" = 'January 2' | 0.057617 |
CREATE TABLE table_6203 ("Tournament" CLOB, "1992" CLOB, "1993" CLOB, "1994" CLOB, "1995" CLOB, "1996" CLOB, "1997" CLOB, "1998" CLOB, "1999" CLOB, "2000" CLOB, "2001" CLOB, "2002" CLOB, "2003" CLOB, "2004" CLOB, "2005" CLOB, "2006" CLOB, "Career SR" CLOB, "Career Win-Loss" CLOB)
| Name the tournament for 2006 of a, 1996 of 1r and 2004 of 1r | SELECT "Tournament" FROM table_6203 WHERE "2006" = 'a' AND "1996" = '1r' AND "2004" = '1r' | SELECT "Tournament" FROM "table_6203" WHERE "1996" = '1r' AND "2004" = '1r' AND "2006" = 'a' | 0.089844 |
CREATE TABLE elimination (elimination_id CLOB, wrestler_id CLOB, team CLOB, eliminated_by CLOB, elimination_move CLOB, time CLOB)
CREATE TABLE wrestler (wrestler_id NUMBER, name CLOB, reign CLOB, days_held CLOB, location CLOB, event CLOB)
| List the names of wrestlers and the teams in elimination in descending order of days held. | SELECT T2.name, T1.team FROM elimination AS T1 JOIN wrestler AS T2 ON T1.wrestler_id = T2.wrestler_id ORDER BY T2.days_held DESC | SELECT "T2"."name", "T1"."team" FROM "elimination" "T1" JOIN "wrestler" "T2" ON "T1"."wrestler_id" = "T2"."wrestler_id" ORDER BY "T2"."days_held" DESC | 0.146484 |
CREATE TABLE table_name_45 (partner VARCHAR2, score VARCHAR2, surface VARCHAR2, outcome VARCHAR2)
| Which Partner with the surface of Clay ended up as a runner-up with a score of 1 6, 6 4, [10 12]? | SELECT partner FROM table_name_45 WHERE surface = "clay" AND outcome = "runner-up" AND score = "1–6, 6–4, [10–12]" | SELECT "partner" FROM "table_name_45" WHERE "1–6, 6–4, [10–12]" = "score" AND "clay" = "surface" AND "outcome" = "runner-up" | 0.121094 |
CREATE TABLE table_5550 ("Outcome" CLOB, "Date" CLOB, "Tournament" CLOB, "Surface" CLOB, "Opponent" CLOB, "Score" CLOB)
| What is the date of the tournament with Alena Tarasova as the opponent? | SELECT "Date" FROM table_5550 WHERE "Opponent" = 'alena tarasova' | SELECT "Date" FROM "table_5550" WHERE "Opponent" = 'alena tarasova' | 0.06543 |
CREATE TABLE table_37733 ("Name" CLOB, "Birth date" CLOB, "Age as of 1 February 2014" CLOB, "Province or Country of birth" CLOB, "Province of residence" CLOB)
| What is the average age as of February 1, 2014 for the supercentenarians born in the United States? | SELECT "Age as of 1 February 2014" FROM table_37733 WHERE "Province or Country of birth" = 'united states' | SELECT "Age as of 1 February 2014" FROM "table_37733" WHERE "Province or Country of birth" = 'united states' | 0.105469 |
CREATE TABLE table_79435 ("Country" CLOB, "Contestant" CLOB, "Height ( cm ) " FLOAT, "Height ( ft ) " CLOB, "Hometown" CLOB)
| What is the hometown of the player from Indonesia? | SELECT "Hometown" FROM table_79435 WHERE "Country" = 'indonesia' | SELECT "Hometown" FROM "table_79435" WHERE "Country" = 'indonesia' | 0.064453 |
CREATE TABLE pilot (Pilot_ID NUMBER, Pilot_name CLOB, Rank NUMBER, Age NUMBER, Nationality CLOB, Position CLOB, Join_Year NUMBER, Team CLOB)
CREATE TABLE pilot_record (Record_ID NUMBER, Pilot_ID NUMBER, Aircraft_ID NUMBER, Date CLOB)
CREATE TABLE aircraft (Aircraft_ID NUMBER, Order_Year NUMBER, Manufacturer CLOB, Model CLOB, Fleet_Series CLOB, Powertrain CLOB, Fuel_Propulsion CLOB)
| I want to know the proportion of the total number for each position. | SELECT Position, COUNT(Position) FROM pilot GROUP BY Position | SELECT "Position", COUNT("Position") FROM "pilot" GROUP BY "Position" | 0.067383 |
CREATE TABLE semester (semester_id NUMBER, semester VARCHAR2, year NUMBER)
CREATE TABLE comment_instructor (instructor_id NUMBER, student_id NUMBER, score NUMBER, comment_text VARCHAR2)
CREATE TABLE program (program_id NUMBER, name VARCHAR2, college VARCHAR2, introduction VARCHAR2)
CREATE TABLE course_prerequisite (pre_course_id NUMBER, course_id NUMBER)
CREATE TABLE gsi (course_offering_id NUMBER, student_id NUMBER)
CREATE TABLE student_record (student_id NUMBER, course_id NUMBER, semester NUMBER, grade VARCHAR2, how VARCHAR2, transfer_source VARCHAR2, earn_credit VARCHAR2, repeat_term VARCHAR2, test_id VARCHAR2)
CREATE TABLE program_course (program_id NUMBER, course_id NUMBER, workload NUMBER, category 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 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 area (course_id NUMBER, area VARCHAR2)
CREATE TABLE program_requirement (program_id NUMBER, category VARCHAR2, min_credit NUMBER, additional_req VARCHAR2)
CREATE TABLE offering_instructor (offering_instructor_id NUMBER, offering_id NUMBER, instructor_id NUMBER)
CREATE TABLE requirement (requirement_id NUMBER, requirement VARCHAR2, college VARCHAR2)
CREATE TABLE student (student_id NUMBER, lastname VARCHAR2, firstname VARCHAR2, program_id NUMBER, declare_major VARCHAR2, total_credit NUMBER, total_gpa FLOAT, entered_as VARCHAR2, admit_term NUMBER, predicted_graduation_semester NUMBER, degree VARCHAR2, minor VARCHAR2, internship VARCHAR2)
CREATE TABLE ta (campus_job_id NUMBER, student_id NUMBER, location VARCHAR2)
CREATE TABLE course_tags_count (course_id NUMBER, clear_grading NUMBER, pop_quiz NUMBER, group_projects NUMBER, inspirational NUMBER, long_lectures NUMBER, extra_credit NUMBER, few_tests NUMBER, good_feedback NUMBER, tough_tests NUMBER, heavy_papers NUMBER, cares_for_students NUMBER, heavy_assignments NUMBER, respected NUMBER, participation NUMBER, heavy_reading NUMBER, tough_grader NUMBER, hilarious NUMBER, would_take_again NUMBER, good_lecture NUMBER, no_skip NUMBER)
CREATE TABLE instructor (instructor_id NUMBER, name VARCHAR2, uniqname VARCHAR2)
| Since I have to leave by 5:00 P.M. to get to work on time every day , what time will 416 and 336 be over ? | SELECT DISTINCT course_offering.end_time, course.number FROM course INNER JOIN course_offering ON course.course_id = course_offering.course_id INNER JOIN semester ON semester.semester_id = course_offering.semester WHERE course.department = 'department0' AND (course.number = 416 OR course.number = 336) AND course_offering.end_time < '17:00:00' AND semester.semester = 'WN' AND semester.year = 2016 | SELECT DISTINCT "course_offering"."end_time", "course"."number" FROM "course" JOIN "course_offering" ON "course"."course_id" = "course_offering"."course_id" AND "course_offering"."end_time" < '17:00:00' JOIN "semester" ON "course_offering"."semester" = "semester"."semester_id" AND "semester"."semester" = 'WN' AND "semester"."year" = 2016 WHERE "course"."department" = 'department0' AND ("course"."number" = 336 OR "course"."number" = 416) | 0.429688 |
CREATE TABLE table_70897 ("Year" CLOB, "Category" CLOB, "Genre" CLOB, "Recording" CLOB, "Result" CLOB)
| Name the category for 2013 | SELECT "Category" FROM table_70897 WHERE "Year" = '2013' | SELECT "Category" FROM "table_70897" WHERE "Year" = '2013' | 0.056641 |
CREATE TABLE table_67331 ("Rank" CLOB, "Country" CLOB, "2009" CLOB, "2010" CLOB, "2011" CLOB)
| what is the ranking for 2010 production of 2,903,000? | SELECT "Rank" FROM table_67331 WHERE "2010" = '2,903,000' | SELECT "Rank" FROM "table_67331" WHERE "2010" = '2,903,000' | 0.057617 |
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