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CREATE TABLE table_68555 ("Outcome" CLOB, "Date" CLOB, "Tournament" CLOB, "Surface" CLOB, "Opponent" CLOB, "Score" CLOB)
| Which Tournament has a Score of 4-6 6-2 6-1? | SELECT "Tournament" FROM table_68555 WHERE "Score" = '4-6 6-2 6-1' | SELECT "Tournament" FROM "table_68555" WHERE "Score" = '4-6 6-2 6-1' | 0.066406 |
CREATE TABLE table_10361230_1 (overall NUMBER, player_name VARCHAR2)
| What is Bruce Cerone overall? | SELECT MIN(overall) FROM table_10361230_1 WHERE player_name = "Bruce Cerone" | SELECT MIN("overall") FROM "table_10361230_1" WHERE "Bruce Cerone" = "player_name" | 0.080078 |
CREATE TABLE table_28513 ("Institution" CLOB, "Location" CLOB, "Founded" FLOAT, "Type" CLOB, "Enrollment" FLOAT, "Nickname" CLOB, "Joined" CLOB)
| what type was joined in 1902 5? | SELECT "Type" FROM table_28513 WHERE "Joined" = '1902 5' | SELECT "Type" FROM "table_28513" WHERE "Joined" = '1902 5' | 0.056641 |
CREATE TABLE table_name_35 (pick NUMBER, round VARCHAR2, nationality VARCHAR2, college VARCHAR2)
| What is the highest Pick, when Nationality is 'United States', when College is 'New Mexico State', and when Round is greater than 6? | SELECT MAX(pick) FROM table_name_35 WHERE nationality = "united states" AND college = "new mexico state" AND round > 6 | SELECT MAX("pick") FROM "table_name_35" WHERE "college" = "new mexico state" AND "nationality" = "united states" AND "round" > 6 | 0.125 |
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
| how many patients whose admission year is less than 2105 and diagnoses long title is stevens-johnson syndrome-toxic epidermal necrolysis overlap syndrome? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.admityear < "2105" AND diagnoses.long_title = "Stevens-Johnson syndrome-toxic epidermal necrolysis overlap syndrome" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "Stevens-Johnson syndrome-toxic epidermal necrolysis overlap syndrome" = "diagnoses"."long_title" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" WHERE "2105" > "demographic"."admityear" | 0.272461 |
CREATE TABLE table_29842 ("Game" FLOAT, "Date" CLOB, "Team" CLOB, "Score" CLOB, "High points" CLOB, "High rebounds" CLOB, "High assists" CLOB, "Location Attendance" CLOB, "Record" CLOB)
| What was the location and attendance of the game against Dallas? | SELECT "Location Attendance" FROM table_29842 WHERE "Team" = 'Dallas' | SELECT "Location Attendance" FROM "table_29842" WHERE "Team" = 'Dallas' | 0.069336 |
CREATE TABLE table_name_38 (no_of_cities VARCHAR2, voivodeship VARCHAR2)
| Namem the number of cities that contains Voivodeship of elbl g voivodeship | SELECT no_of_cities FROM table_name_38 WHERE voivodeship = "elbląg voivodeship" | SELECT "no_of_cities" FROM "table_name_38" WHERE "elbląg voivodeship" = "voivodeship" | 0.083008 |
CREATE TABLE table_24949975_1 (date VARCHAR2, stadium VARCHAR2, result VARCHAR2)
| What is the date for the game at the tallaght stadium and result was 0 1? | SELECT date FROM table_24949975_1 WHERE stadium = "Tallaght stadium" AND result = "0–1" | SELECT "date" FROM "table_24949975_1" WHERE "0–1" = "result" AND "Tallaght stadium" = "stadium" | 0.092773 |
CREATE TABLE table_name_11 (score VARCHAR2, visitor VARCHAR2, decision VARCHAR2, home VARCHAR2)
| What is the score of the game that had a decision of Parent, home team of Philadelphia, and visitor of Pittsburgh? | SELECT score FROM table_name_11 WHERE decision = "parent" AND home = "philadelphia" AND visitor = "pittsburgh" | SELECT "score" FROM "table_name_11" WHERE "decision" = "parent" AND "home" = "philadelphia" AND "pittsburgh" = "visitor" | 0.117188 |
CREATE TABLE table_name_98 (city_of_license VARCHAR2, call_sign VARCHAR2)
| Which city of license has the Kyli call sign? | SELECT city_of_license FROM table_name_98 WHERE call_sign = "kyli" | SELECT "city_of_license" FROM "table_name_98" WHERE "call_sign" = "kyli" | 0.070313 |
CREATE TABLE Documents (Document_ID NUMBER, Document_Type_Code CHAR, Project_ID NUMBER, Document_Date DATETIME, Document_Name VARCHAR2, Document_Description VARCHAR2, Other_Details VARCHAR2)
CREATE TABLE Statements (Statement_ID NUMBER, Statement_Details VARCHAR2)
CREATE TABLE Documents_with_Expenses (Document_ID NUMBER, Budget_Type_Code CHAR, Document_Details VARCHAR2)
CREATE TABLE Ref_Budget_Codes (Budget_Type_Code CHAR, Budget_Type_Description VARCHAR2)
CREATE TABLE Projects (Project_ID NUMBER, Project_Details VARCHAR2)
CREATE TABLE Ref_Document_Types (Document_Type_Code CHAR, Document_Type_Name VARCHAR2, Document_Type_Description VARCHAR2)
CREATE TABLE Accounts (Account_ID NUMBER, Statement_ID NUMBER, Account_Details VARCHAR2)
| How many documents are created in each day? Bin the document date by year interval and group by document type description with a group line chart, and show in asc by the X. | SELECT Document_Date, COUNT(Document_Date) FROM Ref_Document_Types AS T1 JOIN Documents AS T2 ON T1.Document_Type_Code = T2.Document_Type_Code GROUP BY Document_Type_Description ORDER BY Document_Date | SELECT "Document_Date", COUNT("Document_Date") FROM "Ref_Document_Types" "T1" JOIN "Documents" "T2" ON "T1"."Document_Type_Code" = "T2"."Document_Type_Code" GROUP BY "Document_Type_Description" ORDER BY "Document_Date" | 0.212891 |
CREATE TABLE table_2512935_8 (approximate_sales VARCHAR2, author VARCHAR2)
| What are all approximate sales for the author Laura Ingalls Wilder? | SELECT approximate_sales FROM table_2512935_8 WHERE author = "Laura Ingalls Wilder" | SELECT "approximate_sales" FROM "table_2512935_8" WHERE "Laura Ingalls Wilder" = "author" | 0.086914 |
CREATE TABLE table_37453 ("Team" CLOB, "Driver" CLOB, "Laps" FLOAT, "Time" CLOB, "Grid" FLOAT)
| What is the lowest laps a grid less than 22 with a time of +35.268 has? | SELECT MIN("Laps") FROM table_37453 WHERE "Grid" < '22' AND "Time" = '+35.268' | SELECT MIN("Laps") FROM "table_37453" WHERE "Grid" < '22' AND "Time" = '+35.268' | 0.078125 |
CREATE TABLE table_30103 ("Series #" FLOAT, "Season #" FLOAT, "Title" CLOB, "Written by" CLOB, "Original air date" CLOB, "U.S. viewers ( millions ) " CLOB)
| what is the number of the episode in the season that had 7.19 millions of north american viewers? | SELECT "Season #" FROM table_30103 WHERE "U.S. viewers (millions)" = '7.19' | SELECT "Season #" FROM "table_30103" WHERE "U.S. viewers (millions)" = '7.19' | 0.075195 |
CREATE TABLE table_name_85 (home VARCHAR2, visitor VARCHAR2)
| Who was the home team that played the Lakers? | SELECT home FROM table_name_85 WHERE visitor = "lakers" | SELECT "home" FROM "table_name_85" WHERE "lakers" = "visitor" | 0.05957 |
CREATE TABLE departments (DEPARTMENT_ID NUMBER, DEPARTMENT_NAME VARCHAR2, MANAGER_ID NUMBER, LOCATION_ID NUMBER)
CREATE TABLE locations (LOCATION_ID NUMBER, STREET_ADDRESS VARCHAR2, POSTAL_CODE VARCHAR2, CITY VARCHAR2, STATE_PROVINCE VARCHAR2, COUNTRY_ID VARCHAR2)
CREATE TABLE regions (REGION_ID NUMBER, REGION_NAME VARCHAR2)
CREATE TABLE employees (EMPLOYEE_ID NUMBER, FIRST_NAME VARCHAR2, LAST_NAME VARCHAR2, EMAIL VARCHAR2, PHONE_NUMBER VARCHAR2, HIRE_DATE DATE, JOB_ID VARCHAR2, SALARY NUMBER, COMMISSION_PCT NUMBER, MANAGER_ID NUMBER, DEPARTMENT_ID NUMBER)
CREATE TABLE countries (COUNTRY_ID VARCHAR2, COUNTRY_NAME VARCHAR2, REGION_ID NUMBER)
CREATE TABLE 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)
| You can return a bar chart with employees' first names and their salaries. | SELECT FIRST_NAME, SALARY FROM employees | SELECT "FIRST_NAME", "SALARY" FROM "employees" | 0.044922 |
CREATE TABLE membership_register_branch (member_id NUMBER, branch_id CLOB, register_year CLOB)
CREATE TABLE member (member_id NUMBER, card_number CLOB, name CLOB, hometown CLOB, level NUMBER)
CREATE TABLE purchase (member_id NUMBER, branch_id CLOB, year CLOB, total_pounds NUMBER)
CREATE TABLE branch (branch_id NUMBER, name CLOB, open_year CLOB, address_road CLOB, city CLOB, membership_amount CLOB)
| How many branches where have more than average number of memberships are there? | SELECT COUNT(*) FROM branch WHERE membership_amount > (SELECT AVG(membership_amount) FROM branch) | SELECT COUNT(*) FROM "branch" WHERE "membership_amount" > (SELECT AVG("membership_amount") FROM "branch") | 0.102539 |
CREATE TABLE table_name_26 (game NUMBER, november VARCHAR2)
| what is the game when on november 27? | SELECT SUM(game) FROM table_name_26 WHERE november = 27 | SELECT SUM("game") FROM "table_name_26" WHERE "november" = 27 | 0.05957 |
CREATE TABLE table_name_15 (military_deaths VARCHAR2, military_and_or_civilian_wounded VARCHAR2)
| How many military deaths were there when there were 1,200+ military and/or civilian wounded? | SELECT military_deaths FROM table_name_15 WHERE military_and_or_civilian_wounded = "1,200+" | SELECT "military_deaths" FROM "table_name_15" WHERE "1,200+" = "military_and_or_civilian_wounded" | 0.094727 |
CREATE TABLE table_19179465_1 (bp VARCHAR2, club VARCHAR2)
| What was the B.P. of club Halifax? | SELECT bp FROM table_19179465_1 WHERE club = "Halifax" | SELECT "bp" FROM "table_19179465_1" WHERE "Halifax" = "club" | 0.058594 |
CREATE TABLE microlab (microlabid NUMBER, patientunitstayid NUMBER, culturesite CLOB, organism CLOB, culturetakentime TIME)
CREATE TABLE treatment (treatmentid NUMBER, patientunitstayid NUMBER, treatmentname CLOB, treatmenttime TIME)
CREATE TABLE cost (costid NUMBER, uniquepid CLOB, patienthealthsystemstayid NUMBER, eventtype CLOB, eventid NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE diagnosis (diagnosisid NUMBER, patientunitstayid NUMBER, diagnosisname CLOB, diagnosistime TIME, icd9code CLOB)
CREATE TABLE allergy (allergyid NUMBER, patientunitstayid NUMBER, drugname CLOB, allergyname CLOB, allergytime TIME)
CREATE TABLE patient (uniquepid CLOB, patienthealthsystemstayid NUMBER, patientunitstayid NUMBER, gender CLOB, age CLOB, ethnicity CLOB, hospitalid NUMBER, wardid NUMBER, admissionheight NUMBER, admissionweight NUMBER, dischargeweight NUMBER, hospitaladmittime TIME, hospitaladmitsource CLOB, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus CLOB)
CREATE TABLE 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 lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime TIME)
CREATE TABLE medication (medicationid NUMBER, patientunitstayid NUMBER, drugname CLOB, dosage CLOB, routeadmin CLOB, drugstarttime TIME, drugstoptime TIME)
| what was the last ward identification of patient 015-12508 until 2104? | SELECT patient.wardid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '015-12508') AND STRFTIME('%y', patient.unitadmittime) <= '2104' ORDER BY patient.unitadmittime DESC LIMIT 1 | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '015-12508' GROUP BY "patienthealthsystemstayid") SELECT "patient"."wardid" FROM "patient" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "patient"."patienthealthsystemstayid" WHERE NOT "_u_0"."" IS NULL AND STRFTIME('%y', "patient"."unitadmittime") <= '2104' ORDER BY "patient"."unitadmittime" DESC FETCH FIRST 1 ROWS ONLY | 0.411133 |
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 state (state_code CLOB, state_name CLOB, country_name CLOB)
CREATE TABLE city (city_code VARCHAR2, city_name VARCHAR2, state_code VARCHAR2, country_name VARCHAR2, time_zone_code 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 restriction (restriction_code CLOB, advance_purchase NUMBER, stopovers CLOB, saturday_stay_required CLOB, minimum_stay NUMBER, maximum_stay NUMBER, application CLOB, no_discounts CLOB)
CREATE TABLE dual_carrier (main_airline VARCHAR2, low_flight_number NUMBER, high_flight_number NUMBER, dual_airline VARCHAR2, service_name CLOB)
CREATE TABLE month (month_number NUMBER, month_name CLOB)
CREATE TABLE airline (airline_code VARCHAR2, airline_name CLOB, note CLOB)
CREATE TABLE code_description (code VARCHAR2, description CLOB)
CREATE TABLE food_service (meal_code CLOB, meal_number NUMBER, compartment CLOB, meal_description VARCHAR2)
CREATE TABLE flight_fare (flight_id NUMBER, fare_id NUMBER)
CREATE TABLE class_of_service (booking_class VARCHAR2, rank NUMBER, class_description CLOB)
CREATE TABLE airport (airport_code VARCHAR2, airport_name CLOB, airport_location CLOB, state_code VARCHAR2, country_name VARCHAR2, time_zone_code VARCHAR2, minimum_connect_time NUMBER)
CREATE TABLE 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 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 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 days (days_code VARCHAR2, day_name VARCHAR2)
CREATE TABLE time_zone (time_zone_code CLOB, time_zone_name CLOB, hours_from_gmt NUMBER)
CREATE TABLE aircraft (aircraft_code VARCHAR2, aircraft_description VARCHAR2, manufacturer VARCHAR2, basic_type VARCHAR2, engines NUMBER, propulsion VARCHAR2, wide_body VARCHAR2, wing_span NUMBER, length NUMBER, weight NUMBER, capacity NUMBER, pay_load NUMBER, cruising_speed NUMBER, range_miles NUMBER, pressurized VARCHAR2)
CREATE TABLE airport_service (city_code VARCHAR2, airport_code VARCHAR2, miles_distant NUMBER, direction VARCHAR2, minutes_distant 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 equipment_sequence (aircraft_code_sequence VARCHAR2, aircraft_code VARCHAR2)
CREATE TABLE time_interval (period CLOB, begin_time NUMBER, end_time NUMBER)
| what ground transportation is available at the ATLANTA airport | SELECT DISTINCT ground_service.transport_type FROM airport, airport_service, city, ground_service WHERE airport.airport_code = airport_service.airport_code AND city.city_code = airport_service.city_code AND city.city_name = 'ATLANTA' AND ground_service.airport_code = airport.airport_code | SELECT DISTINCT "ground_service"."transport_type" FROM "airport" JOIN "airport_service" ON "airport"."airport_code" = "airport_service"."airport_code" JOIN "ground_service" ON "airport"."airport_code" = "ground_service"."airport_code" JOIN "city" ON "airport_service"."city_code" = "city"."city_code" AND "city"."city_name" = 'ATLANTA' | 0.327148 |
CREATE TABLE table_204_54 (id NUMBER, "pondicherry assembly" CLOB, "duration" CLOB, "name of m.l.a." CLOB, "party affiliation" CLOB, "election year" NUMBER)
| was v. vaithilingam a member of the indian national congress or the janata party ? | SELECT "party affiliation" FROM table_204_54 WHERE "name of m.l.a." = 'v. vaithilingam' | SELECT "party affiliation" FROM "table_204_54" WHERE "name of m.l.a." = 'v. vaithilingam' | 0.086914 |
CREATE TABLE table_40897 ("Class" CLOB, "Type" CLOB, "Built" CLOB, "Number" FLOAT, "Withdrawn" FLOAT)
| Which class had a number under 4 and was built in 1988? | SELECT "Class" FROM table_40897 WHERE "Number" < '4' AND "Built" = '1988' | SELECT "Class" FROM "table_40897" WHERE "Built" = '1988' AND "Number" < '4' | 0.073242 |
CREATE TABLE table_76204 ("Region" CLOB, "Date" CLOB, "Label" CLOB, "Format" CLOB, "Catalog" CLOB)
| What's the Date for the Region of Europe and has the Catalog of 28765 22392 8? | SELECT "Date" FROM table_76204 WHERE "Region" = 'europe' AND "Catalog" = '28765 22392 8' | SELECT "Date" FROM "table_76204" WHERE "Catalog" = '28765 22392 8' AND "Region" = 'europe' | 0.087891 |
CREATE TABLE table_47542 ("Elector" CLOB, "Nationality" CLOB, "Order" CLOB, "Title" CLOB, "Elevated" CLOB, "Elevator" CLOB)
| What Elector has the Title of Titulus S. Cecilia? | SELECT "Elector" FROM table_47542 WHERE "Title" = 'titulus s. cecilia' | SELECT "Elector" FROM "table_47542" WHERE "Title" = 'titulus s. cecilia' | 0.070313 |
CREATE TABLE table_45361 ("Res." CLOB, "Record" CLOB, "Opponent" CLOB, "Method" CLOB, "Event" CLOB, "Round" FLOAT, "Location" CLOB)
| What is Event, when Method is 'Submission (Armbar)', and when Opponent is 'Jason St. Louis'? | SELECT "Event" FROM table_45361 WHERE "Method" = 'submission (armbar)' AND "Opponent" = 'jason st. louis' | SELECT "Event" FROM "table_45361" WHERE "Method" = 'submission (armbar)' AND "Opponent" = 'jason st. louis' | 0.104492 |
CREATE TABLE event (ID NUMBER, Name CLOB, Stadium_ID NUMBER, Year CLOB)
CREATE TABLE stadium (ID NUMBER, name CLOB, Capacity NUMBER, City CLOB, Country CLOB, Opening_year NUMBER)
CREATE TABLE record (ID NUMBER, Result CLOB, Swimmer_ID NUMBER, Event_ID NUMBER)
CREATE TABLE swimmer (ID NUMBER, name CLOB, Nationality CLOB, meter_100 FLOAT, meter_200 CLOB, meter_300 CLOB, meter_400 CLOB, meter_500 CLOB, meter_600 CLOB, meter_700 CLOB, Time CLOB)
| Give me the comparison about meter_100 over the Time by a bar chart, show in ascending by the total number. | SELECT Time, meter_100 FROM swimmer ORDER BY meter_100 | SELECT "Time", "meter_100" FROM "swimmer" ORDER BY "meter_100" | 0.060547 |
CREATE TABLE keyphrase (keyphraseid NUMBER, keyphrasename VARCHAR2)
CREATE TABLE writes (paperid NUMBER, authorid NUMBER)
CREATE TABLE paper (paperid NUMBER, title VARCHAR2, venueid NUMBER, year NUMBER, numciting NUMBER, numcitedby NUMBER, journalid NUMBER)
CREATE TABLE author (authorid NUMBER, authorname VARCHAR2)
CREATE TABLE paperkeyphrase (paperid NUMBER, keyphraseid NUMBER)
CREATE TABLE field (fieldid NUMBER)
CREATE TABLE journal (journalid NUMBER, journalname VARCHAR2)
CREATE TABLE dataset (datasetid NUMBER, datasetname VARCHAR2)
CREATE TABLE paperdataset (paperid NUMBER, datasetid NUMBER)
CREATE TABLE paperfield (fieldid NUMBER, paperid NUMBER)
CREATE TABLE venue (venueid NUMBER, venuename VARCHAR2)
CREATE TABLE cite (citingpaperid NUMBER, citedpaperid NUMBER)
| Papers authored by Daniel S. Weld | SELECT DISTINCT writes.paperid FROM author, writes WHERE author.authorname = 'Daniel S. Weld' AND writes.authorid = author.authorid | SELECT DISTINCT "writes"."paperid" FROM "author" JOIN "writes" ON "author"."authorid" = "writes"."authorid" WHERE "author"."authorname" = 'Daniel S. Weld' | 0.150391 |
CREATE TABLE basketball_match (Team_ID NUMBER, School_ID NUMBER, Team_Name CLOB, ACC_Regular_Season CLOB, ACC_Percent CLOB, ACC_Home CLOB, ACC_Road CLOB, All_Games CLOB, All_Games_Percent NUMBER, All_Home CLOB, All_Road CLOB, All_Neutral CLOB)
CREATE TABLE university (School_ID NUMBER, School CLOB, Location CLOB, Founded FLOAT, Affiliation CLOB, Enrollment FLOAT, Nickname CLOB, Primary_conference CLOB)
| Return a bar chart about the distribution of All_Neutral and ACC_Percent , rank in asc by the total number. | SELECT All_Neutral, ACC_Percent FROM basketball_match ORDER BY ACC_Percent | SELECT "All_Neutral", "ACC_Percent" FROM "basketball_match" ORDER BY "ACC_Percent" | 0.080078 |
CREATE TABLE table_23449363_1 (round VARCHAR2, new_entries_this_round VARCHAR2)
| Which round had 24 new entries? | SELECT round FROM table_23449363_1 WHERE new_entries_this_round = "24" | SELECT "round" FROM "table_23449363_1" WHERE "24" = "new_entries_this_round" | 0.074219 |
CREATE TABLE table_42526 ("Game" FLOAT, "Date" CLOB, "Team" CLOB, "Score" CLOB, "Location Attendance" CLOB, "Record" CLOB)
| Which Team has a Score of 108-105 (ot)? | SELECT "Team" FROM table_42526 WHERE "Score" = '108-105 (ot)' | SELECT "Team" FROM "table_42526" WHERE "Score" = '108-105 (ot)' | 0.061523 |
CREATE TABLE table_name_68 (boardings_and_deboardings VARCHAR2, city VARCHAR2)
| How many people boarded and de-boarded the Amtrak in Linthicum? | SELECT COUNT(boardings_and_deboardings) FROM table_name_68 WHERE city = "linthicum" | SELECT COUNT("boardings_and_deboardings") FROM "table_name_68" WHERE "city" = "linthicum" | 0.086914 |
CREATE TABLE table_11628 ("Date" CLOB, "Opponent" CLOB, "Score" CLOB, "Loss" CLOB, "Attendance" FLOAT, "Record" CLOB)
| Who was the opponent on June 29? | SELECT "Opponent" FROM table_11628 WHERE "Date" = 'june 29' | SELECT "Opponent" FROM "table_11628" WHERE "Date" = 'june 29' | 0.05957 |
CREATE TABLE table_name_61 (per_capita_income VARCHAR2, median_family_income VARCHAR2)
| What is the per capita income of the county with a median family income of $40,492? | SELECT per_capita_income FROM table_name_61 WHERE median_family_income = "$40,492" | SELECT "per_capita_income" FROM "table_name_61" WHERE "$40,492" = "median_family_income" | 0.085938 |
CREATE TABLE basketball_match (Team_ID NUMBER, School_ID NUMBER, Team_Name CLOB, ACC_Regular_Season CLOB, ACC_Percent CLOB, ACC_Home CLOB, ACC_Road CLOB, All_Games CLOB, All_Games_Percent NUMBER, All_Home CLOB, All_Road CLOB, All_Neutral CLOB)
CREATE TABLE university (School_ID NUMBER, School CLOB, Location CLOB, Founded FLOAT, Affiliation CLOB, Enrollment FLOAT, Nickname CLOB, Primary_conference CLOB)
| Give me a pie chart to reflect the proportion of ACC_Road and the sum of School_ID. | SELECT ACC_Road, SUM(School_ID) FROM basketball_match GROUP BY ACC_Road | SELECT "ACC_Road", SUM("School_ID") FROM "basketball_match" GROUP BY "ACC_Road" | 0.077148 |
CREATE TABLE Comments (Id NUMBER, PostId NUMBER, Score NUMBER, Text CLOB, CreationDate TIME, UserDisplayName CLOB, UserId NUMBER, ContentLicense CLOB)
CREATE TABLE SuggestedEditVotes (Id NUMBER, SuggestedEditId NUMBER, UserId NUMBER, VoteTypeId NUMBER, CreationDate TIME, TargetUserId NUMBER, TargetRepChange NUMBER)
CREATE TABLE PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId NUMBER)
CREATE TABLE PostTypes (Id NUMBER, Name CLOB)
CREATE TABLE ReviewTaskResultTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE VoteTypes (Id NUMBER, Name CLOB)
CREATE TABLE CloseAsOffTopicReasonTypes (Id NUMBER, IsUniversal BOOLEAN, InputTitle CLOB, MarkdownInputGuidance CLOB, MarkdownPostOwnerGuidance CLOB, MarkdownPrivilegedUserGuidance CLOB, MarkdownConcensusDescription CLOB, CreationDate TIME, CreationModeratorId NUMBER, ApprovalDate TIME, ApprovalModeratorId NUMBER, DeactivationDate TIME, DeactivationModeratorId NUMBER)
CREATE TABLE PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
CREATE TABLE PendingFlags (Id NUMBER, FlagTypeId NUMBER, PostId NUMBER, CreationDate TIME, CloseReasonTypeId NUMBER, CloseAsOffTopicReasonTypeId NUMBER, DuplicateOfQuestionId NUMBER, BelongsOnBaseHostAddress CLOB)
CREATE TABLE PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
CREATE TABLE PostHistoryTypes (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 Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
CREATE TABLE ReviewTaskStates (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Users (Id NUMBER, Reputation NUMBER, CreationDate TIME, DisplayName CLOB, LastAccessDate TIME, WebsiteUrl CLOB, Location CLOB, AboutMe CLOB, Views NUMBER, UpVotes NUMBER, DownVotes NUMBER, ProfileImageUrl CLOB, EmailHash CLOB, AccountId NUMBER)
CREATE TABLE 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 PostHistory (Id NUMBER, PostHistoryTypeId NUMBER, PostId NUMBER, RevisionGUID other, CreationDate TIME, UserId NUMBER, UserDisplayName CLOB, Comment CLOB, Text CLOB, ContentLicense CLOB)
CREATE TABLE PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId NUMBER)
CREATE TABLE Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount NUMBER)
CREATE TABLE SuggestedEdits (Id NUMBER, PostId NUMBER, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId NUMBER, Comment CLOB, Text CLOB, Title CLOB, Tags CLOB, RevisionGUID other)
CREATE TABLE CloseReasonTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment CLOB)
CREATE TABLE Posts (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
CREATE TABLE FlagTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
CREATE TABLE ReviewTaskTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId NUMBER)
CREATE TABLE PostTags (PostId NUMBER, TagId NUMBER)
| Posts from user-id with a given tag. | SELECT * FROM Users WHERE Id = 416354 OR DisplayName LIKE 'TaylorOtwell' | SELECT * FROM "Users" WHERE "DisplayName" LIKE 'TaylorOtwell' OR "Id" = 416354 | 0.076172 |
CREATE TABLE PendingFlags (Id NUMBER, FlagTypeId NUMBER, PostId NUMBER, CreationDate TIME, CloseReasonTypeId NUMBER, CloseAsOffTopicReasonTypeId NUMBER, DuplicateOfQuestionId NUMBER, BelongsOnBaseHostAddress CLOB)
CREATE TABLE Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
CREATE TABLE Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
CREATE TABLE FlagTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Comments (Id NUMBER, PostId NUMBER, Score NUMBER, Text CLOB, CreationDate TIME, UserDisplayName CLOB, UserId NUMBER, ContentLicense CLOB)
CREATE TABLE 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 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 ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId NUMBER)
CREATE TABLE PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId NUMBER)
CREATE TABLE ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId 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 ReviewTaskTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId NUMBER)
CREATE TABLE PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
CREATE TABLE ReviewTaskStates (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment 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 PostHistoryTypes (Id NUMBER, Name CLOB)
CREATE TABLE Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount NUMBER)
CREATE TABLE PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId 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 TagSynonyms (Id NUMBER, SourceTagName CLOB, TargetTagName CLOB, CreationDate TIME, OwnerUserId NUMBER, AutoRenameCount NUMBER, LastAutoRename TIME, Score NUMBER, ApprovedByUserId NUMBER, ApprovalDate TIME)
CREATE TABLE VoteTypes (Id NUMBER, Name CLOB)
CREATE TABLE PostsWithDeleted (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE CloseReasonTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostTags (PostId NUMBER, TagId NUMBER)
CREATE TABLE ReviewTaskResultTypes (Id NUMBER, Name CLOB, Description CLOB)
| Average Edits Count based on Comments Count on Question. | SELECT p.CommentCount, COUNT(*) AS eCount, COUNT(DISTINCT p.Id) AS pCount, CAST(COUNT(*) AS FLOAT) / CAST(COUNT(DISTINCT p.Id) AS FLOAT) AS AvgEdits FROM Posts AS p INNER JOIN PostHistory AS h ON h.PostId = p.Id WHERE p.PostTypeId = 1 AND (h.PostHistoryTypeId = 6) GROUP BY CommentCount ORDER BY CommentCount | SELECT "p"."CommentCount", COUNT(*) AS "eCount", COUNT(DISTINCT "p"."Id") AS "pCount", CAST(COUNT(*) AS FLOAT) / NULLIF(CAST(COUNT(DISTINCT "p"."Id") AS FLOAT), 0) AS "AvgEdits" FROM "Posts" "p" JOIN "PostHistory" "h" ON "h"."PostHistoryTypeId" = 6 AND "h"."PostId" = "p"."Id" WHERE "p"."PostTypeId" = 1 GROUP BY "CommentCount" ORDER BY "CommentCount" | 0.342773 |
CREATE TABLE Movie (mID NUMBER, title CLOB, year NUMBER, director CLOB)
CREATE TABLE Reviewer (rID NUMBER, name CLOB)
CREATE TABLE Rating (rID NUMBER, mID NUMBER, stars NUMBER, ratingDate DATE)
| Please give me a bar chart to compare the stars by directors, I want to display by the Y-axis from low to high. | SELECT director, stars FROM Rating AS T1 JOIN Movie AS T2 ON T1.mID = T2.mID ORDER BY stars | SELECT "director", "stars" FROM "Rating" "T1" JOIN "Movie" "T2" ON "T1"."mID" = "T2"."mID" ORDER BY "stars" | 0.104492 |
CREATE TABLE table_56937 ("Rank" FLOAT, "Name" CLOB, "Nation" CLOB, "Points" FLOAT, "Placings" FLOAT)
| What is the highest placing for marie mcneil / robert mccall, with less than 168.58? | SELECT MAX("Placings") FROM table_56937 WHERE "Name" = 'marie mcneil / robert mccall' AND "Points" < '168.58' | SELECT MAX("Placings") FROM "table_56937" WHERE "Name" = 'marie mcneil / robert mccall' AND "Points" < '168.58' | 0.108398 |
CREATE TABLE table_name_73 (laps NUMBER, rank VARCHAR2)
| What is the highest laps of the year when the rank was 14? | SELECT MAX(laps) FROM table_name_73 WHERE rank = "14" | SELECT MAX("laps") FROM "table_name_73" WHERE "14" = "rank" | 0.057617 |
CREATE TABLE lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime 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 treatment (treatmentid NUMBER, patientunitstayid NUMBER, treatmentname CLOB, treatmenttime TIME)
CREATE TABLE allergy (allergyid NUMBER, patientunitstayid NUMBER, drugname CLOB, allergyname CLOB, allergytime TIME)
CREATE TABLE patient (uniquepid CLOB, patienthealthsystemstayid NUMBER, patientunitstayid NUMBER, gender CLOB, age CLOB, ethnicity CLOB, hospitalid NUMBER, wardid NUMBER, admissionheight NUMBER, admissionweight NUMBER, dischargeweight NUMBER, hospitaladmittime TIME, hospitaladmitsource CLOB, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus CLOB)
CREATE TABLE cost (costid NUMBER, uniquepid CLOB, patienthealthsystemstayid NUMBER, eventtype CLOB, eventid NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE medication (medicationid NUMBER, patientunitstayid NUMBER, drugname CLOB, dosage CLOB, routeadmin CLOB, drugstarttime TIME, drugstoptime 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 intakeoutput (intakeoutputid NUMBER, patientunitstayid NUMBER, cellpath CLOB, celllabel CLOB, cellvaluenumeric NUMBER, intakeoutputtime TIME)
| how many times patient 006-50368 the last year visited the hospital. | SELECT COUNT(DISTINCT patient.patienthealthsystemstayid) FROM patient WHERE patient.uniquepid = '006-50368' AND DATETIME(patient.hospitaladmittime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year') | SELECT COUNT(DISTINCT "patient"."patienthealthsystemstayid") FROM "patient" WHERE "patient"."uniquepid" = '006-50368' AND DATETIME("patient"."hospitaladmittime", 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year') | 0.227539 |
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE 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)
| count the number of patients whose death status is 0 and lab test name is vancomycin? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.expire_flag = "0" AND lab.label = "Vancomycin" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "lab" ON "Vancomycin" = "lab"."label" AND "demographic"."hadm_id" = "lab"."hadm_id" WHERE "0" = "demographic"."expire_flag" | 0.192383 |
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
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)
| provide the number of patients whose primary disease is newborn and year of death is less than or equal to 2112? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.diagnosis = "NEWBORN" AND demographic.dod_year <= "2112.0" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "2112.0" >= "demographic"."dod_year" AND "NEWBORN" = "demographic"."diagnosis" | 0.149414 |
CREATE TABLE table_66658 ("Wimmera FL" CLOB, "Wins" FLOAT, "Byes" FLOAT, "Losses" FLOAT, "Draws" FLOAT, "Against" FLOAT)
| How much Against has Losses smaller than 7, and a Wimmera FL of horsham? | SELECT SUM("Against") FROM table_66658 WHERE "Losses" < '7' AND "Wimmera FL" = 'horsham' | SELECT SUM("Against") FROM "table_66658" WHERE "Losses" < '7' AND "Wimmera FL" = 'horsham' | 0.087891 |
CREATE TABLE TRANSACTIONS (investor_id VARCHAR2, share_count NUMBER)
| Show the average share count of transactions each each investor, ordered by average share count. | SELECT investor_id, AVG(share_count) FROM TRANSACTIONS GROUP BY investor_id ORDER BY AVG(share_count) | SELECT "investor_id", AVG("share_count") FROM "TRANSACTIONS" GROUP BY "investor_id" ORDER BY AVG("share_count") | 0.108398 |
CREATE TABLE table_66876 ("Sunday Sunna/S\\u00f3l" CLOB, "Monday Mona/ M\\u00e1ni" CLOB, "Tuesday Tiw/ Tyr" CLOB, "Wednesday Woden / Odin" CLOB, "Thursday Thunor / Thor" CLOB, "Friday Frige or Freya" CLOB, "Saturday Saturn" CLOB)
| Which Monday Mona/Mani also had a Thursday Thunor/Thor of Tongersdei? | SELECT "Monday Mona/ M\u00e1ni" FROM table_66876 WHERE "Thursday Thunor / Thor" = 'tongersdei' | SELECT "Monday Mona/ M\u00e1ni" FROM "table_66876" WHERE "Thursday Thunor / Thor" = 'tongersdei' | 0.09375 |
CREATE TABLE paper (paperid NUMBER, title VARCHAR2, venueid NUMBER, year NUMBER, numciting NUMBER, numcitedby NUMBER, journalid NUMBER)
CREATE TABLE keyphrase (keyphraseid NUMBER, keyphrasename VARCHAR2)
CREATE TABLE cite (citingpaperid NUMBER, citedpaperid NUMBER)
CREATE TABLE journal (journalid NUMBER, journalname VARCHAR2)
CREATE TABLE paperfield (fieldid NUMBER, paperid NUMBER)
CREATE TABLE writes (paperid NUMBER, authorid NUMBER)
CREATE TABLE dataset (datasetid NUMBER, datasetname VARCHAR2)
CREATE TABLE paperdataset (paperid NUMBER, datasetid NUMBER)
CREATE TABLE field (fieldid NUMBER)
CREATE TABLE paperkeyphrase (paperid NUMBER, keyphraseid NUMBER)
CREATE TABLE author (authorid NUMBER, authorname VARCHAR2)
CREATE TABLE venue (venueid NUMBER, venuename VARCHAR2)
| What is the name of Eric C. Kerrigan 's Liquid Automatica paper ? | SELECT DISTINCT paper.title FROM author, keyphrase, paper, paperkeyphrase, venue, writes WHERE author.authorname LIKE 'Eric C. Kerrigan' AND keyphrase.keyphrasename = 'Liquid' AND paperkeyphrase.keyphraseid = keyphrase.keyphraseid AND venue.venueid = paper.venueid AND venue.venuename = 'Automatica' AND writes.authorid = author.authorid AND writes.paperid = paperkeyphrase.paperid AND writes.paperid = paper.paperid | SELECT DISTINCT "paper"."title" FROM "author" JOIN "keyphrase" ON "keyphrase"."keyphrasename" = 'Liquid' JOIN "paperkeyphrase" ON "keyphrase"."keyphraseid" = "paperkeyphrase"."keyphraseid" JOIN "writes" ON "author"."authorid" = "writes"."authorid" AND "paperkeyphrase"."paperid" = "writes"."paperid" JOIN "paper" ON "paper"."paperid" = "writes"."paperid" JOIN "venue" ON "paper"."venueid" = "venue"."venueid" AND "venue"."venuename" = 'Automatica' WHERE "author"."authorname" LIKE 'Eric C. Kerrigan' | 0.487305 |
CREATE TABLE captain (Captain_ID NUMBER, Name CLOB, Ship_ID NUMBER, age CLOB, Class CLOB, Rank CLOB)
CREATE TABLE Ship (Ship_ID NUMBER, Name CLOB, Type CLOB, Built_Year FLOAT, Class CLOB, Flag CLOB)
| Plot how many class by grouped by class as a bar graph | SELECT Class, COUNT(Class) FROM captain GROUP BY Class | SELECT "Class", COUNT("Class") FROM "captain" GROUP BY "Class" | 0.060547 |
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
| what is average age of patients whose primary disease is squamous cell carcinoma oral tongue/sda and days of hospital stay is 5? | SELECT AVG(demographic.age) FROM demographic WHERE demographic.diagnosis = "SQUAMOUS CELL CARCINOMA ORAL TONGUE/SDA" AND demographic.days_stay = "5" | SELECT AVG("demographic"."age") FROM "demographic" WHERE "5" = "demographic"."days_stay" AND "SQUAMOUS CELL CARCINOMA ORAL TONGUE/SDA" = "demographic"."diagnosis" | 0.158203 |
CREATE TABLE Dorm (dormid NUMBER, dorm_name VARCHAR2, student_capacity NUMBER, gender VARCHAR2)
CREATE TABLE Student (StuID NUMBER, LName VARCHAR2, Fname VARCHAR2, Age NUMBER, Sex VARCHAR2, Major NUMBER, Advisor NUMBER, city_code VARCHAR2)
CREATE TABLE Has_amenity (dormid NUMBER, amenid NUMBER)
CREATE TABLE Lives_in (stuid NUMBER, dormid NUMBER, room_number NUMBER)
CREATE TABLE Dorm_amenity (amenid NUMBER, amenity_name VARCHAR2)
| Plot a scatter chart, avg(age) by maximal age. | SELECT AVG(Age), MAX(Age) FROM Student GROUP BY Sex | SELECT AVG("Age"), MAX("Age") FROM "Student" GROUP BY "Sex" | 0.057617 |
CREATE TABLE table_name_32 (image_quality VARCHAR2, date VARCHAR2, multiple_sessions VARCHAR2, authentication VARCHAR2)
| what is the image quality when the multiple sessions is x, the authentication is and the date is may 15, 2007? | SELECT image_quality FROM table_name_32 WHERE multiple_sessions = "x" AND authentication = "✓" AND date = "may 15, 2007" | SELECT "image_quality" FROM "table_name_32" WHERE "authentication" = "✓" AND "date" = "may 15, 2007" AND "multiple_sessions" = "x" | 0.126953 |
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 locations (LOCATION_ID NUMBER, STREET_ADDRESS VARCHAR2, POSTAL_CODE VARCHAR2, CITY VARCHAR2, STATE_PROVINCE VARCHAR2, COUNTRY_ID VARCHAR2)
CREATE TABLE departments (DEPARTMENT_ID NUMBER, DEPARTMENT_NAME VARCHAR2, MANAGER_ID NUMBER, LOCATION_ID NUMBER)
CREATE TABLE employees (EMPLOYEE_ID NUMBER, FIRST_NAME VARCHAR2, LAST_NAME VARCHAR2, EMAIL VARCHAR2, PHONE_NUMBER VARCHAR2, HIRE_DATE DATE, JOB_ID VARCHAR2, SALARY NUMBER, COMMISSION_PCT NUMBER, MANAGER_ID NUMBER, DEPARTMENT_ID NUMBER)
CREATE TABLE job_history (EMPLOYEE_ID NUMBER, START_DATE DATE, END_DATE DATE, JOB_ID VARCHAR2, DEPARTMENT_ID NUMBER)
CREATE TABLE countries (COUNTRY_ID VARCHAR2, COUNTRY_NAME VARCHAR2, REGION_ID NUMBER)
| For all employees who have the letters D or S in their first name, show me about the distribution of hire_date and the sum of salary bin hire_date by time in a bar chart. | SELECT HIRE_DATE, SUM(SALARY) FROM employees WHERE FIRST_NAME LIKE '%D%' OR FIRST_NAME LIKE '%S%' | SELECT "HIRE_DATE", SUM("SALARY") FROM "employees" WHERE "FIRST_NAME" LIKE '%D%' OR "FIRST_NAME" LIKE '%S%' | 0.104492 |
CREATE TABLE table_name_68 (rd_8 NUMBER, team VARCHAR2, position VARCHAR2)
| What is the average value for Rd 8 in a position less than 2 for Audi Sport Australia? | SELECT AVG(rd_8) FROM table_name_68 WHERE team = "audi sport australia" AND position < 2 | SELECT AVG("rd_8") FROM "table_name_68" WHERE "audi sport australia" = "team" AND "position" < 2 | 0.09375 |
CREATE TABLE table_name_7 (result VARCHAR2, year VARCHAR2, location VARCHAR2)
| what is the result for 1970 at yankee stadium? | SELECT result FROM table_name_7 WHERE year = 1970 AND location = "yankee stadium" | SELECT "result" FROM "table_name_7" WHERE "location" = "yankee stadium" AND "year" = 1970 | 0.086914 |
CREATE TABLE table_name_22 (builder VARCHAR2, year_built VARCHAR2)
| what was the builder in 1929 | SELECT builder FROM table_name_22 WHERE year_built = "1929" | SELECT "builder" FROM "table_name_22" WHERE "1929" = "year_built" | 0.063477 |
CREATE TABLE table_203_523 (id NUMBER, "state" CLOB, "swimsuit" NUMBER, "interview" NUMBER, "evening gown" NUMBER, "average" NUMBER, "finalists" NUMBER)
| what is the total number of points scored in the three rounds in kansas ? | SELECT "swimsuit" + "interview" + "evening gown" FROM table_203_523 WHERE "state" = 'kansas' | SELECT "swimsuit" + "interview" + "evening gown" FROM "table_203_523" WHERE "state" = 'kansas' | 0.091797 |
CREATE TABLE entrepreneur (Entrepreneur_ID NUMBER, People_ID NUMBER, Company CLOB, Money_Requested FLOAT, Investor CLOB)
CREATE TABLE people (People_ID NUMBER, Name CLOB, Height FLOAT, Weight FLOAT, Date_of_Birth CLOB)
| Return the number of the dates of birth for entrepreneurs who have either the investor Simon Woodroffe or Peter Jones, and order by the Y in desc. | SELECT Date_of_Birth, COUNT(Date_of_Birth) FROM entrepreneur AS T1 JOIN people AS T2 ON T1.People_ID = T2.People_ID WHERE T1.Investor = "Simon Woodroffe" OR T1.Investor = "Peter Jones" ORDER BY COUNT(Date_of_Birth) DESC | SELECT "Date_of_Birth", COUNT("Date_of_Birth") FROM "entrepreneur" "T1" JOIN "people" "T2" ON "T1"."People_ID" = "T2"."People_ID" WHERE "Peter Jones" = "T1"."Investor" OR "Simon Woodroffe" = "T1"."Investor" ORDER BY COUNT("Date_of_Birth") DESC | 0.237305 |
CREATE TABLE table_name_73 (position VARCHAR2, points VARCHAR2, goals_for VARCHAR2)
| How many positions have Points of 30-8 and more than 25 goals? | SELECT COUNT(position) FROM table_name_73 WHERE points = "30-8" AND goals_for > 25 | SELECT COUNT("position") FROM "table_name_73" WHERE "30-8" = "points" AND "goals_for" > 25 | 0.087891 |
CREATE TABLE table_46335 ("Date" CLOB, "Visitor" CLOB, "Score" CLOB, "Home" CLOB, "Decision" CLOB, "Record" CLOB)
| Who made the decision when atlanta was the home team? | SELECT "Decision" FROM table_46335 WHERE "Home" = 'atlanta' | SELECT "Decision" FROM "table_46335" WHERE "Home" = 'atlanta' | 0.05957 |
CREATE TABLE table_22209 ("Series #" FLOAT, "Season #" FLOAT, "Title" CLOB, "Directed by" CLOB, "Written by" CLOB, "Original air date" CLOB, "U.S. viewers ( millions ) " CLOB)
| How many series had viewers totaling 23.93 million? | SELECT COUNT("Series #") FROM table_22209 WHERE "U.S. viewers (millions)" = '23.93' | SELECT COUNT("Series #") FROM "table_22209" WHERE "U.S. viewers (millions)" = '23.93' | 0.083008 |
CREATE TABLE table_56056 ("Year" FLOAT, "Song Title" CLOB, "Movie" CLOB, "Music Director" CLOB, "Co-Singers" CLOB)
| What was the name of the song in Amma Cheppindi? | SELECT "Song Title" FROM table_56056 WHERE "Movie" = 'amma cheppindi' | SELECT "Song Title" FROM "table_56056" WHERE "Movie" = 'amma cheppindi' | 0.069336 |
CREATE TABLE table_43745 ("Rider" CLOB, "Manufacturer" CLOB, "Laps" FLOAT, "Time" CLOB, "Grid" FLOAT)
| What is the total number of Grid, when Time is +43.191, and when Laps is less than 22? | SELECT COUNT("Grid") FROM table_43745 WHERE "Time" = '+43.191' AND "Laps" < '22' | SELECT COUNT("Grid") FROM "table_43745" WHERE "Laps" < '22' AND "Time" = '+43.191' | 0.080078 |
CREATE TABLE railway (railway_id NUMBER, railway CLOB, builder CLOB, built CLOB, wheels CLOB, location CLOB, objectnumber CLOB)
CREATE TABLE manager (manager_id NUMBER, name CLOB, country CLOB, working_year_starts CLOB, age NUMBER, level NUMBER)
CREATE TABLE railway_manage (railway_id NUMBER, manager_id NUMBER, from_year CLOB)
CREATE TABLE train (train_id NUMBER, train_num CLOB, name CLOB, from CLOB, arrival CLOB, railway_id NUMBER)
| What are the names and arrival times of trains? | SELECT name, arrival FROM train | SELECT "name", "arrival" FROM "train" | 0.036133 |
CREATE TABLE table_name_5 (viewers__in_millions_ VARCHAR2, run_time VARCHAR2)
| On the episode that had a run time of 24:57, how many million viewers were there? | SELECT viewers__in_millions_ FROM table_name_5 WHERE run_time = "24:57" | SELECT "viewers__in_millions_" FROM "table_name_5" WHERE "24:57" = "run_time" | 0.075195 |
CREATE TABLE COURSE (CRS_CODE VARCHAR2, DEPT_CODE VARCHAR2, CRS_DESCRIPTION VARCHAR2, CRS_CREDIT FLOAT)
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)
CREATE TABLE CLASS (CLASS_CODE VARCHAR2, CRS_CODE VARCHAR2, CLASS_SECTION VARCHAR2, CLASS_TIME VARCHAR2, CLASS_ROOM 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 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)
| Bar chart x axis crs code y axis the total number, and rank in asc by the bar please. | SELECT CRS_CODE, COUNT(*) FROM CLASS GROUP BY CRS_CODE ORDER BY CRS_CODE | SELECT "CRS_CODE", COUNT(*) FROM "CLASS" GROUP BY "CRS_CODE" ORDER BY "CRS_CODE" | 0.078125 |
CREATE TABLE table_70987 ("Year" CLOB, "Venue" CLOB, "Winners" CLOB, "2nd place" CLOB, "3rd place" CLOB)
| Who came in 3rd when Matej agar won? | SELECT "3rd place" FROM table_70987 WHERE "Winners" = 'matej žagar' | SELECT "3rd place" FROM "table_70987" WHERE "Winners" = 'matej žagar' | 0.067383 |
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
| what is the number of patients whose age is less than 24 and days of hospital stay is greater than 15? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.age < "24" AND demographic.days_stay > "15" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "15" < "demographic"."days_stay" AND "24" > "demographic"."age" | 0.134766 |
CREATE TABLE table_53308 ("Date" CLOB, "Competition" CLOB, "Venue" CLOB, "Result" CLOB, "Score" CLOB, "Goals" CLOB)
| Where was the game that had a final score of 30-20? | SELECT "Venue" FROM table_53308 WHERE "Score" = '30-20' | SELECT "Venue" FROM "table_53308" WHERE "Score" = '30-20' | 0.055664 |
CREATE TABLE table_69860 ("Name" CLOB, "Years" CLOB, "Gender" CLOB, "Area" CLOB, "Authority" CLOB, "Decile" FLOAT, "Roll" FLOAT)
| What is the average Decile with a state authority and a Name of mapiu school? | SELECT AVG("Decile") FROM table_69860 WHERE "Authority" = 'state' AND "Name" = 'mapiu school' | SELECT AVG("Decile") FROM "table_69860" WHERE "Authority" = 'state' AND "Name" = 'mapiu school' | 0.092773 |
CREATE TABLE labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
CREATE TABLE procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE admissions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, admittime TIME, dischtime TIME, admission_type CLOB, admission_location CLOB, discharge_location CLOB, insurance CLOB, language CLOB, marital_status CLOB, ethnicity CLOB, age NUMBER)
CREATE TABLE diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE 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 inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
CREATE TABLE chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE 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 cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
CREATE TABLE 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 d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title 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 d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
| what are the top three most frequent diagnoses which patients were given within the same month after undergoing non-invasive mech vent since 2105? | SELECT d_icd_diagnoses.short_title FROM d_icd_diagnoses WHERE d_icd_diagnoses.icd9_code IN (SELECT t3.icd9_code FROM (SELECT t2.icd9_code, DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS c1 FROM (SELECT admissions.subject_id, procedures_icd.charttime 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 = 'non-invasive mech vent') AND STRFTIME('%y', procedures_icd.charttime) >= '2105') AS t1 JOIN (SELECT admissions.subject_id, diagnoses_icd.icd9_code, diagnoses_icd.charttime FROM diagnoses_icd JOIN admissions ON diagnoses_icd.hadm_id = admissions.hadm_id WHERE STRFTIME('%y', diagnoses_icd.charttime) >= '2105') AS t2 ON t1.subject_id = t2.subject_id WHERE t1.charttime < t2.charttime AND DATETIME(t1.charttime, 'start of month') = DATETIME(t2.charttime, 'start of month') GROUP BY t2.icd9_code) AS t3 WHERE t3.c1 <= 3) | WITH "t2" AS (SELECT "admissions"."subject_id", "diagnoses_icd"."icd9_code", "diagnoses_icd"."charttime" FROM "diagnoses_icd" JOIN "admissions" ON "admissions"."hadm_id" = "diagnoses_icd"."hadm_id" WHERE STRFTIME('%y', "diagnoses_icd"."charttime") >= '2105'), "t3" AS (SELECT "t2"."icd9_code", DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS "c1" FROM "procedures_icd" JOIN "d_icd_procedures" ON "d_icd_procedures"."icd9_code" = "procedures_icd"."icd9_code" AND "d_icd_procedures"."short_title" = 'non-invasive mech vent' JOIN "admissions" ON "admissions"."hadm_id" = "procedures_icd"."hadm_id" JOIN "t2" "t2" ON "admissions"."subject_id" = "t2"."subject_id" AND "procedures_icd"."charttime" < "t2"."charttime" AND DATETIME("procedures_icd"."charttime", 'start of month') = DATETIME("t2"."charttime", 'start of month') WHERE STRFTIME('%y', "procedures_icd"."charttime") >= '2105' GROUP BY "t2"."icd9_code"), "_u_1" AS (SELECT "t3"."icd9_code" FROM "t3" "t3" WHERE "t3"."c1" <= 3 GROUP BY "icd9_code") SELECT "d_icd_diagnoses"."short_title" FROM "d_icd_diagnoses" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "d_icd_diagnoses"."icd9_code" WHERE NOT "_u_1"."" IS NULL | 1.129883 |
CREATE TABLE table_52184 ("Week" FLOAT, "Date" CLOB, "Opponent" CLOB, "Result" CLOB, "Attendance" FLOAT)
| Name for me the total number in attendance for week before 2 and result of t 24-24 | SELECT COUNT("Attendance") FROM table_52184 WHERE "Result" = 't 24-24' AND "Week" < '2' | SELECT COUNT("Attendance") FROM "table_52184" WHERE "Result" = 't 24-24' AND "Week" < '2' | 0.086914 |
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 cost (costid NUMBER, uniquepid CLOB, patienthealthsystemstayid NUMBER, eventtype CLOB, eventid NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE vitalperiodic (vitalperiodicid NUMBER, patientunitstayid NUMBER, temperature NUMBER, sao2 NUMBER, heartrate NUMBER, respiration NUMBER, systemicsystolic NUMBER, systemicdiastolic NUMBER, systemicmean NUMBER, observationtime TIME)
CREATE TABLE allergy (allergyid NUMBER, patientunitstayid NUMBER, drugname CLOB, allergyname CLOB, allergytime TIME)
CREATE TABLE lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime TIME)
CREATE TABLE 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)
CREATE TABLE medication (medicationid NUMBER, patientunitstayid NUMBER, drugname CLOB, dosage CLOB, routeadmin CLOB, drugstarttime TIME, drugstoptime TIME)
| the last time until 05/2105, when was patient 028-66126 prescribed sodium chloride 0.9 % syringe : 10 ml syringe and bisacodyl at the same time? | SELECT t1.drugstarttime FROM (SELECT patient.uniquepid, medication.drugstarttime FROM medication JOIN patient ON medication.patientunitstayid = patient.patientunitstayid WHERE medication.drugname = 'sodium chloride 0.9 % syringe : 10 ml syringe' AND patient.uniquepid = '028-66126' AND STRFTIME('%y-%m', medication.drugstarttime) <= '2105-05') AS t1 JOIN (SELECT patient.uniquepid, medication.drugstarttime FROM medication JOIN patient ON medication.patientunitstayid = patient.patientunitstayid WHERE medication.drugname = 'bisacodyl' AND patient.uniquepid = '028-66126' AND STRFTIME('%y-%m', medication.drugstarttime) <= '2105-05') AS t2 ON t1.uniquepid = t2.uniquepid WHERE DATETIME(t1.drugstarttime) = DATETIME(t2.drugstarttime) ORDER BY t1.drugstarttime DESC LIMIT 1 | WITH "t2" AS (SELECT "patient"."uniquepid", "medication"."drugstarttime" FROM "medication" JOIN "patient" ON "medication"."patientunitstayid" = "patient"."patientunitstayid" AND "patient"."uniquepid" = '028-66126' WHERE "medication"."drugname" = 'bisacodyl' AND STRFTIME('%y-%m', "medication"."drugstarttime") <= '2105-05') SELECT "medication"."drugstarttime" FROM "medication" JOIN "patient" ON "medication"."patientunitstayid" = "patient"."patientunitstayid" AND "patient"."uniquepid" = '028-66126' JOIN "t2" "t2" ON "patient"."uniquepid" = "t2"."uniquepid" AND DATETIME("medication"."drugstarttime") = DATETIME("t2"."drugstarttime") WHERE "medication"."drugname" = 'sodium chloride 0.9 % syringe : 10 ml syringe' AND STRFTIME('%y-%m', "medication"."drugstarttime") <= '2105-05' ORDER BY "medication"."drugstarttime" DESC FETCH FIRST 1 ROWS ONLY | 0.827148 |
CREATE TABLE instructor (instructor_id NUMBER, name VARCHAR2, uniqname VARCHAR2)
CREATE TABLE course_prerequisite (pre_course_id NUMBER, course_id NUMBER)
CREATE TABLE student (student_id NUMBER, lastname VARCHAR2, firstname VARCHAR2, program_id NUMBER, declare_major VARCHAR2, total_credit NUMBER, total_gpa FLOAT, entered_as VARCHAR2, admit_term NUMBER, predicted_graduation_semester NUMBER, degree VARCHAR2, minor VARCHAR2, internship VARCHAR2)
CREATE TABLE course_tags_count (course_id NUMBER, clear_grading NUMBER, pop_quiz NUMBER, group_projects NUMBER, inspirational NUMBER, long_lectures NUMBER, extra_credit NUMBER, few_tests NUMBER, good_feedback NUMBER, tough_tests NUMBER, heavy_papers NUMBER, cares_for_students NUMBER, heavy_assignments NUMBER, respected NUMBER, participation NUMBER, heavy_reading NUMBER, tough_grader NUMBER, hilarious NUMBER, would_take_again NUMBER, good_lecture NUMBER, no_skip NUMBER)
CREATE TABLE student_record (student_id NUMBER, course_id NUMBER, semester NUMBER, grade VARCHAR2, how VARCHAR2, transfer_source VARCHAR2, earn_credit VARCHAR2, repeat_term VARCHAR2, test_id VARCHAR2)
CREATE TABLE requirement (requirement_id NUMBER, requirement VARCHAR2, college VARCHAR2)
CREATE TABLE course (course_id NUMBER, name VARCHAR2, department VARCHAR2, number VARCHAR2, credits VARCHAR2, advisory_requirement VARCHAR2, enforced_requirement VARCHAR2, description VARCHAR2, num_semesters NUMBER, num_enrolled NUMBER, has_discussion VARCHAR2, has_lab VARCHAR2, has_projects VARCHAR2, has_exams VARCHAR2, num_reviews NUMBER, clarity_score NUMBER, easiness_score NUMBER, helpfulness_score NUMBER)
CREATE TABLE ta (campus_job_id NUMBER, student_id NUMBER, location VARCHAR2)
CREATE TABLE gsi (course_offering_id NUMBER, student_id NUMBER)
CREATE TABLE course_offering (offering_id NUMBER, course_id NUMBER, semester NUMBER, section_number NUMBER, start_time TIME, end_time TIME, monday VARCHAR2, tuesday VARCHAR2, wednesday VARCHAR2, thursday VARCHAR2, friday VARCHAR2, saturday VARCHAR2, sunday VARCHAR2, has_final_project VARCHAR2, has_final_exam VARCHAR2, textbook VARCHAR2, class_address VARCHAR2, allow_audit VARCHAR2)
CREATE TABLE program_requirement (program_id NUMBER, category VARCHAR2, min_credit NUMBER, additional_req VARCHAR2)
CREATE TABLE program_course (program_id NUMBER, course_id NUMBER, workload NUMBER, category VARCHAR2)
CREATE TABLE area (course_id NUMBER, area VARCHAR2)
CREATE TABLE jobs (job_id NUMBER, job_title VARCHAR2, description VARCHAR2, requirement VARCHAR2, city VARCHAR2, state VARCHAR2, country VARCHAR2, zip NUMBER)
CREATE TABLE offering_instructor (offering_instructor_id NUMBER, offering_id NUMBER, instructor_id NUMBER)
CREATE TABLE program (program_id NUMBER, name VARCHAR2, college VARCHAR2, introduction VARCHAR2)
CREATE TABLE comment_instructor (instructor_id NUMBER, student_id NUMBER, score NUMBER, comment_text VARCHAR2)
CREATE TABLE semester (semester_id NUMBER, semester VARCHAR2, year NUMBER)
| Am I able to take 400 -level classes in Fall or Winter term ? | SELECT DISTINCT COURSEalias0.department, COURSEalias0.name, COURSEalias0.number, SEMESTERalias0.semester FROM (SELECT course_id FROM student_record WHERE earn_credit = 'Y' AND student_id = 1) AS DERIVED_TABLEalias0, course AS COURSEalias0, course_offering AS COURSE_OFFERINGalias0, semester AS SEMESTERalias0 WHERE ((SEMESTERalias0.semester = 'FA' AND SEMESTERalias0.year = 2016) OR (SEMESTERalias0.semester = 'WN' AND SEMESTERalias0.year = 2017)) AND COURSEalias0.course_id = COURSE_OFFERINGalias0.course_id AND NOT COURSEalias0.course_id IN (DERIVED_TABLEalias0.course_id) AND NOT COURSEalias0.course_id IN (SELECT DISTINCT COURSE_PREREQUISITEalias0.course_id FROM course_prerequisite AS COURSE_PREREQUISITEalias0 WHERE NOT COURSE_PREREQUISITEalias0.pre_course_id IN (DERIVED_TABLEalias0.course_id)) AND COURSEalias0.department = 'EECS' AND COURSEalias0.number BETWEEN 400 AND 400 + 100 AND SEMESTERalias0.semester_id = COURSE_OFFERINGalias0.semester | SELECT DISTINCT "COURSEalias0"."department", "COURSEalias0"."name", "COURSEalias0"."number", "SEMESTERalias0"."semester" FROM "student_record" JOIN "course" "COURSEalias0" ON "COURSEalias0"."department" = 'EECS' AND "COURSEalias0"."number" <= 500 AND "COURSEalias0"."number" >= 400 AND NOT "COURSEalias0"."course_id" IN ("course_id") AND NOT "COURSEalias0"."course_id" IN (SELECT DISTINCT "COURSE_PREREQUISITEalias0"."course_id" FROM "course_prerequisite" "COURSE_PREREQUISITEalias0" WHERE NOT "COURSE_PREREQUISITEalias0"."pre_course_id" IN ("course_id")) JOIN "course_offering" "COURSE_OFFERINGalias0" ON "COURSE_OFFERINGalias0"."course_id" = "COURSEalias0"."course_id" JOIN "semester" "SEMESTERalias0" ON "COURSE_OFFERINGalias0"."semester" = "SEMESTERalias0"."semester_id" AND ("SEMESTERalias0"."semester" = 'FA' OR "SEMESTERalias0"."semester" = 'WN') AND ("SEMESTERalias0"."semester" = 'FA' OR "SEMESTERalias0"."year" = 2017) AND ("SEMESTERalias0"."semester" = 'WN' OR "SEMESTERalias0"."year" = 2016) AND ("SEMESTERalias0"."year" = 2016 OR "SEMESTERalias0"."year" = 2017) WHERE "earn_credit" = 'Y' AND "student_id" = 1 | 1.094727 |
CREATE TABLE table_name_63 (intercontinental_cup_1999 VARCHAR2, copa_conmebol_1999 VARCHAR2)
| What is the Intercontinental Cup 1999 result for the team with a Copa Conmebol 1999 result of runner-up? | SELECT intercontinental_cup_1999 FROM table_name_63 WHERE copa_conmebol_1999 = "runner-up" | SELECT "intercontinental_cup_1999" FROM "table_name_63" WHERE "copa_conmebol_1999" = "runner-up" | 0.09375 |
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
| among the total number of urgent admissions, how many of them were male patients? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.gender = "M" AND demographic.admission_type = "URGENT" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "M" = "demographic"."gender" AND "URGENT" = "demographic"."admission_type" | 0.145508 |
CREATE TABLE table_76743 ("Location" CLOB, "Country" CLOB, "Type" CLOB, "Wheels" FLOAT, "Configuration" CLOB)
| What is the configuration for the country France, with accounting as the type, and wheels greater than 6? | SELECT "Configuration" FROM table_76743 WHERE "Country" = 'france' AND "Type" = 'accounting' AND "Wheels" > '6' | SELECT "Configuration" FROM "table_76743" WHERE "Country" = 'france' AND "Type" = 'accounting' AND "Wheels" > '6' | 0.110352 |
CREATE TABLE diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
CREATE TABLE procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE 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 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 cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE 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 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 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)
| when has patient 66015 received a prescription for the first time during a month before? | SELECT prescriptions.startdate FROM prescriptions WHERE prescriptions.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 66015) AND DATETIME(prescriptions.startdate, 'start of month') = DATETIME(CURRENT_TIME(), 'start of month', '-1 month') ORDER BY prescriptions.startdate LIMIT 1 | WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 66015 GROUP BY "hadm_id") SELECT "prescriptions"."startdate" FROM "prescriptions" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "prescriptions"."hadm_id" WHERE DATETIME("prescriptions"."startdate", 'start of month') = DATETIME(CURRENT_TIME(), 'start of month', '-1 month') AND NOT "_u_0"."" IS NULL ORDER BY "prescriptions"."startdate" FETCH FIRST 1 ROWS ONLY | 0.439453 |
CREATE TABLE table_16708 ("Rnd" FLOAT, "Race" CLOB, "Date" CLOB, "Location" CLOB, "Pole Position" CLOB, "Fastest Lap" CLOB, "Race Winner" CLOB, "Constructor" CLOB, "Report" CLOB)
| What is the race winer of the portuguese grand prix? | SELECT "Race Winner" FROM table_16708 WHERE "Race" = 'Portuguese Grand Prix' | SELECT "Race Winner" FROM "table_16708" WHERE "Race" = 'Portuguese Grand Prix' | 0.076172 |
CREATE TABLE table_28426 ("Club" CLOB, "Wins" FLOAT, "Losses" FLOAT, "Points For" FLOAT, "Points Against" FLOAT, "Percentage" CLOB, "Points" FLOAT)
| How many points did the Toronto Downtown Dingos score? | SELECT MIN("Points For") FROM table_28426 WHERE "Club" = 'Toronto Downtown Dingos' | SELECT MIN("Points For") FROM "table_28426" WHERE "Club" = 'Toronto Downtown Dingos' | 0.082031 |
CREATE TABLE table_name_37 (loss VARCHAR2, record VARCHAR2)
| Which loss has a Record of 67-51? | SELECT loss FROM table_name_37 WHERE record = "67-51" | SELECT "loss" FROM "table_name_37" WHERE "67-51" = "record" | 0.057617 |
CREATE TABLE airports (apid NUMBER, name CLOB, city CLOB, country CLOB, x NUMBER, y NUMBER, elevation NUMBER, iata CLOB, icao CLOB)
CREATE TABLE routes (rid NUMBER, dst_apid NUMBER, dst_ap CLOB, src_apid NUMBER, src_ap CLOB, alid NUMBER, airline CLOB, codeshare CLOB)
CREATE TABLE airlines (alid NUMBER, name CLOB, iata CLOB, icao CLOB, callsign CLOB, country CLOB, active CLOB)
| Find the number of routes whose destination airports are in Canada. | SELECT COUNT(*) FROM airports AS T1 JOIN routes AS T2 ON T1.apid = T2.dst_apid WHERE country = 'Canada' | SELECT COUNT(*) FROM "airports" "T1" JOIN "routes" "T2" ON "T1"."apid" = "T2"."dst_apid" WHERE "country" = 'Canada' | 0.112305 |
CREATE TABLE table_58477 ("Date" CLOB, "Visitor" CLOB, "Score" CLOB, "Home" CLOB, "Decision" CLOB, "Attendance" FLOAT, "Record" CLOB)
| On October 24, who played at home when there was a decision of Ward? | SELECT "Home" FROM table_58477 WHERE "Decision" = 'ward' AND "Date" = 'october 24' | SELECT "Home" FROM "table_58477" WHERE "Date" = 'october 24' AND "Decision" = 'ward' | 0.082031 |
CREATE TABLE artist (Artist_ID NUMBER, Name CLOB, Country CLOB, Year_Join NUMBER, Age NUMBER)
CREATE TABLE exhibition (Exhibition_ID NUMBER, Year NUMBER, Theme CLOB, Artist_ID NUMBER, Ticket_Price FLOAT)
CREATE TABLE exhibition_record (Exhibition_ID NUMBER, Date CLOB, Attendance NUMBER)
| Bar chart x axis name y axis age | SELECT Name, Age FROM artist | SELECT "Name", "Age" FROM "artist" | 0.033203 |
CREATE TABLE fare_basis (fare_basis_code CLOB, booking_class CLOB, class_type CLOB, premium CLOB, economy CLOB, discounted CLOB, night CLOB, season CLOB, basis_days CLOB)
CREATE TABLE aircraft (aircraft_code VARCHAR2, aircraft_description VARCHAR2, manufacturer VARCHAR2, basic_type VARCHAR2, engines NUMBER, propulsion VARCHAR2, wide_body VARCHAR2, wing_span NUMBER, length NUMBER, weight NUMBER, capacity NUMBER, pay_load NUMBER, cruising_speed NUMBER, range_miles NUMBER, pressurized VARCHAR2)
CREATE TABLE month (month_number NUMBER, month_name CLOB)
CREATE TABLE date_day (month_number NUMBER, day_number NUMBER, year NUMBER, day_name VARCHAR2)
CREATE TABLE dual_carrier (main_airline VARCHAR2, low_flight_number NUMBER, high_flight_number NUMBER, dual_airline VARCHAR2, service_name CLOB)
CREATE TABLE flight_leg (flight_id NUMBER, leg_number NUMBER, leg_flight NUMBER)
CREATE TABLE airport_service (city_code VARCHAR2, airport_code VARCHAR2, miles_distant NUMBER, direction VARCHAR2, minutes_distant NUMBER)
CREATE TABLE flight (aircraft_code_sequence CLOB, airline_code VARCHAR2, airline_flight CLOB, arrival_time NUMBER, connections NUMBER, departure_time NUMBER, dual_carrier CLOB, flight_days CLOB, flight_id NUMBER, flight_number NUMBER, from_airport VARCHAR2, meal_code CLOB, stops NUMBER, time_elapsed NUMBER, to_airport VARCHAR2)
CREATE TABLE 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 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 airport (airport_code VARCHAR2, airport_name CLOB, airport_location CLOB, state_code VARCHAR2, country_name VARCHAR2, time_zone_code VARCHAR2, minimum_connect_time NUMBER)
CREATE TABLE food_service (meal_code CLOB, meal_number NUMBER, compartment CLOB, meal_description VARCHAR2)
CREATE TABLE class_of_service (booking_class VARCHAR2, rank NUMBER, class_description CLOB)
CREATE TABLE equipment_sequence (aircraft_code_sequence VARCHAR2, aircraft_code VARCHAR2)
CREATE TABLE flight_fare (flight_id NUMBER, fare_id NUMBER)
CREATE TABLE code_description (code VARCHAR2, description CLOB)
CREATE TABLE compartment_class (compartment VARCHAR2, class_type VARCHAR2)
CREATE TABLE days (days_code VARCHAR2, day_name VARCHAR2)
CREATE TABLE ground_service (city_code CLOB, airport_code CLOB, transport_type CLOB, ground_fare NUMBER)
CREATE TABLE state (state_code CLOB, state_name CLOB, country_name CLOB)
CREATE TABLE fare (fare_id NUMBER, from_airport VARCHAR2, to_airport VARCHAR2, fare_basis_code CLOB, fare_airline CLOB, restriction_code CLOB, one_direction_cost NUMBER, round_trip_cost NUMBER, round_trip_required VARCHAR2)
CREATE TABLE airline (airline_code VARCHAR2, airline_name CLOB, note CLOB)
CREATE TABLE time_zone (time_zone_code CLOB, time_zone_name CLOB, hours_from_gmt NUMBER)
CREATE TABLE flight_stop (flight_id NUMBER, stop_number NUMBER, stop_days CLOB, stop_airport CLOB, arrival_time NUMBER, arrival_airline CLOB, arrival_flight_number NUMBER, departure_time NUMBER, departure_airline CLOB, departure_flight_number NUMBER, stop_time NUMBER)
| round trip flights between HOUSTON and LAS VEGAS | SELECT DISTINCT flight.flight_id FROM airport_service AS AIRPORT_SERVICE_0, airport_service AS AIRPORT_SERVICE_1, city AS CITY_0, city AS CITY_1, fare, flight, flight_fare WHERE (CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'LAS VEGAS' AND NOT fare.round_trip_cost IS NULL AND flight_fare.fare_id = fare.fare_id AND flight.flight_id = flight_fare.flight_id AND flight.to_airport = AIRPORT_SERVICE_1.airport_code) AND CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'HOUSTON' AND flight.from_airport = AIRPORT_SERVICE_0.airport_code | SELECT DISTINCT "flight"."flight_id" FROM "airport_service" "AIRPORT_SERVICE_0" JOIN "city" "CITY_0" ON "AIRPORT_SERVICE_0"."city_code" = "CITY_0"."city_code" AND "CITY_0"."city_name" = 'HOUSTON' JOIN "flight" ON "AIRPORT_SERVICE_0"."airport_code" = "flight"."from_airport" JOIN "airport_service" "AIRPORT_SERVICE_1" ON "AIRPORT_SERVICE_1"."airport_code" = "flight"."to_airport" JOIN "flight_fare" ON "flight"."flight_id" = "flight_fare"."flight_id" JOIN "city" "CITY_1" ON "AIRPORT_SERVICE_1"."city_code" = "CITY_1"."city_code" AND "CITY_1"."city_name" = 'LAS VEGAS' JOIN "fare" ON "fare"."fare_id" = "flight_fare"."fare_id" AND NOT "fare"."round_trip_cost" IS NULL | 0.650391 |
CREATE TABLE Manufacturers (Code NUMBER, Name VARCHAR2, Headquarter VARCHAR2, Founder VARCHAR2, Revenue FLOAT)
CREATE TABLE Products (Code NUMBER, Name VARCHAR2, Price NUMBER, Manufacturer NUMBER)
| Please tell the names and revenues of the companies with the highest revenues in each headquarter city, I want to display y axis in desc order please. | SELECT Name, MAX(Revenue) FROM Manufacturers GROUP BY Headquarter ORDER BY MAX(Revenue) DESC | SELECT "Name", MAX("Revenue") FROM "Manufacturers" GROUP BY "Headquarter" ORDER BY MAX("Revenue") DESC | 0.099609 |
CREATE TABLE table_622 ("Leg" CLOB, "Stage" CLOB, "Time ( EEST ) " CLOB, "Name" CLOB, "Length" CLOB, "Winner" CLOB, "Time" CLOB, "Avg. spd." CLOB, "Rally leader" CLOB)
| What is the number of leg for ss17 | SELECT COUNT("Leg") FROM table_622 WHERE "Stage" = 'SS17' | SELECT COUNT("Leg") FROM "table_622" WHERE "Stage" = 'SS17' | 0.057617 |
CREATE TABLE table_name_57 (week VARCHAR2, tournament VARCHAR2)
| What week was the tournament at Cincinnati? | SELECT week FROM table_name_57 WHERE tournament = "cincinnati" | SELECT "week" FROM "table_name_57" WHERE "cincinnati" = "tournament" | 0.066406 |
CREATE TABLE table_35107 ("Callsign" CLOB, "Area served" CLOB, "Frequency" CLOB, "Band" CLOB, "Freq currently" CLOB, "Purpose" CLOB)
| What is the frequency for katherine? | SELECT "Frequency" FROM table_35107 WHERE "Area served" = 'katherine' | SELECT "Frequency" FROM "table_35107" WHERE "Area served" = 'katherine' | 0.069336 |
CREATE TABLE table_name_88 (team__number2 VARCHAR2, team__number1 VARCHAR2)
| Who was the team 2 in the game with a team 1 of Liege Basket? | SELECT team__number2 FROM table_name_88 WHERE team__number1 = "liege basket" | SELECT "team__number2" FROM "table_name_88" WHERE "liege basket" = "team__number1" | 0.080078 |
CREATE TABLE table_19872699_1 (builder VARCHAR2, design_firm VARCHAR2)
| Who were the builders of the boat designed by Botin Carkeek? | SELECT builder FROM table_19872699_1 WHERE design_firm = "Botin Carkeek" | SELECT "builder" FROM "table_19872699_1" WHERE "Botin Carkeek" = "design_firm" | 0.076172 |
CREATE TABLE writes (paperid NUMBER, authorid NUMBER)
CREATE TABLE paperfield (fieldid NUMBER, paperid NUMBER)
CREATE TABLE journal (journalid NUMBER, journalname VARCHAR2)
CREATE TABLE keyphrase (keyphraseid NUMBER, keyphrasename VARCHAR2)
CREATE TABLE venue (venueid NUMBER, venuename VARCHAR2)
CREATE TABLE author (authorid NUMBER, authorname VARCHAR2)
CREATE TABLE field (fieldid NUMBER)
CREATE TABLE cite (citingpaperid NUMBER, citedpaperid NUMBER)
CREATE TABLE dataset (datasetid NUMBER, datasetname VARCHAR2)
CREATE TABLE paperdataset (paperid NUMBER, datasetid NUMBER)
CREATE TABLE paper (paperid NUMBER, title VARCHAR2, venueid NUMBER, year NUMBER, numciting NUMBER, numcitedby NUMBER, journalid NUMBER)
CREATE TABLE paperkeyphrase (paperid NUMBER, keyphraseid NUMBER)
| what conferences are related to sensor fusion | SELECT DISTINCT paper.venueid FROM keyphrase, paper, paperkeyphrase WHERE keyphrase.keyphrasename = 'sensor fusion' AND paperkeyphrase.keyphraseid = keyphrase.keyphraseid AND paper.paperid = paperkeyphrase.paperid | SELECT DISTINCT "paper"."venueid" FROM "keyphrase" JOIN "paperkeyphrase" ON "keyphrase"."keyphraseid" = "paperkeyphrase"."keyphraseid" JOIN "paper" ON "paper"."paperid" = "paperkeyphrase"."paperid" WHERE "keyphrase"."keyphrasename" = 'sensor fusion' | 0.243164 |
CREATE TABLE appointment (patient VARCHAR2)
CREATE TABLE patient (ssn VARCHAR2)
| what are name and phone number of patients who had more than one appointment? | SELECT name, phone FROM appointment AS T1 JOIN patient AS T2 ON T1.patient = T2.ssn GROUP BY T1.patient HAVING COUNT(*) > 1 | SELECT "name", "phone" FROM "appointment" "T1" JOIN "patient" "T2" ON "T1"."patient" = "T2"."ssn" GROUP BY "T1"."patient" HAVING COUNT(*) > 1 | 0.137695 |
CREATE TABLE race (Race_ID NUMBER, Name CLOB, Class CLOB, Date CLOB, Track_ID CLOB)
CREATE TABLE track (Track_ID NUMBER, Name CLOB, Location CLOB, Seating FLOAT, Year_Opened FLOAT)
| Give me a bar chart for the total number of each class, and could you sort from high to low by the y-axis please? | SELECT Class, COUNT(*) FROM race GROUP BY Class ORDER BY COUNT(*) DESC | SELECT "Class", COUNT(*) FROM "race" GROUP BY "Class" ORDER BY COUNT(*) DESC | 0.074219 |
CREATE TABLE table_22232 ("Year" FLOAT, "Miss Universe Philippines" CLOB, "Binibining Pilipinas-World" CLOB, "Binibining Pilipinas-International" CLOB, "Binibining Pilipinas-Tourism" CLOB, "First runner-up" CLOB, "Second runner-up" CLOB)
| Who is the second runner up when Janina San Miguel won binibining pilipinas-world? | SELECT COUNT("Second runner-up") FROM table_22232 WHERE "Binibining Pilipinas-World" = 'Janina San Miguel' | SELECT COUNT("Second runner-up") FROM "table_22232" WHERE "Binibining Pilipinas-World" = 'Janina San Miguel' | 0.105469 |
CREATE TABLE Has_amenity (dormid NUMBER, amenid NUMBER)
CREATE TABLE Student (StuID NUMBER, LName VARCHAR2, Fname VARCHAR2, Age NUMBER, Sex VARCHAR2, Major NUMBER, Advisor NUMBER, city_code VARCHAR2)
CREATE TABLE Dorm (dormid NUMBER, dorm_name VARCHAR2, student_capacity NUMBER, gender VARCHAR2)
CREATE TABLE Lives_in (stuid NUMBER, dormid NUMBER, room_number NUMBER)
CREATE TABLE Dorm_amenity (amenid NUMBER, amenity_name VARCHAR2)
| Bar graph to show maximal age from different sex | SELECT Sex, MAX(Age) FROM Student GROUP BY Sex | SELECT "Sex", MAX("Age") FROM "Student" GROUP BY "Sex" | 0.052734 |
CREATE TABLE table_21828 ("Game" FLOAT, "Date" CLOB, "Team" CLOB, "Score" CLOB, "High points" CLOB, "High rebounds" CLOB, "High assists" CLOB, "Location Attendance" CLOB, "Series" CLOB)
| Name the date for series 2-2 | SELECT "Date" FROM table_21828 WHERE "Series" = '2-2' | SELECT "Date" FROM "table_21828" WHERE "Series" = '2-2' | 0.053711 |
CREATE TABLE Undergoes (Patient NUMBER, Procedures NUMBER, Stay NUMBER, DateUndergoes DATETIME, Physician NUMBER, AssistingNurse NUMBER)
CREATE TABLE Block (BlockFloor NUMBER, BlockCode NUMBER)
CREATE TABLE Appointment (AppointmentID NUMBER, Patient NUMBER, PrepNurse NUMBER, Physician NUMBER, Start DATETIME, End DATETIME, ExaminationRoom CLOB)
CREATE TABLE Stay (StayID NUMBER, Patient NUMBER, Room NUMBER, StayStart DATETIME, StayEnd DATETIME)
CREATE TABLE Medication (Code NUMBER, Name VARCHAR2, Brand VARCHAR2, Description VARCHAR2)
CREATE TABLE Patient (SSN NUMBER, Name VARCHAR2, Address VARCHAR2, Phone VARCHAR2, InsuranceID NUMBER, PCP NUMBER)
CREATE TABLE Procedures (Code NUMBER, Name VARCHAR2, Cost FLOAT)
CREATE TABLE Trained_In (Physician NUMBER, Treatment NUMBER, CertificationDate DATETIME, CertificationExpires DATETIME)
CREATE TABLE Room (RoomNumber NUMBER, RoomType VARCHAR2, BlockFloor NUMBER, BlockCode NUMBER, Unavailable BOOLEAN)
CREATE TABLE On_Call (Nurse NUMBER, BlockFloor NUMBER, BlockCode NUMBER, OnCallStart DATETIME, OnCallEnd DATETIME)
CREATE TABLE Department (DepartmentID NUMBER, Name VARCHAR2, Head NUMBER)
CREATE TABLE Prescribes (Physician NUMBER, Patient NUMBER, Medication NUMBER, Date DATETIME, Appointment NUMBER, Dose VARCHAR2)
CREATE TABLE Nurse (EmployeeID NUMBER, Name VARCHAR2, Position VARCHAR2, Registered BOOLEAN, SSN NUMBER)
CREATE TABLE Physician (EmployeeID NUMBER, Name VARCHAR2, Position VARCHAR2, SSN NUMBER)
CREATE TABLE Affiliated_With (Physician NUMBER, Department NUMBER, PrimaryAffiliation BOOLEAN)
| What are the name and primarily affiliated department name of each physician?, sort in descending by the y-axis please. | SELECT T3.Name, COUNT(T3.Name) FROM Physician AS T1 JOIN Affiliated_With AS T2 ON T1.EmployeeID = T2.Physician JOIN Department AS T3 ON T2.Department = T3.DepartmentID WHERE T2.PrimaryAffiliation = 1 GROUP BY T3.Name ORDER BY COUNT(T3.Name) DESC | SELECT "T3"."Name", COUNT("T3"."Name") FROM "Physician" "T1" JOIN "Affiliated_With" "T2" ON "T1"."EmployeeID" = "T2"."Physician" AND "T2"."PrimaryAffiliation" = 1 JOIN "Department" "T3" ON "T2"."Department" = "T3"."DepartmentID" GROUP BY "T3"."Name" ORDER BY COUNT("T3"."Name") DESC | 0.275391 |
CREATE TABLE table_name_52 (opponent VARCHAR2, score VARCHAR2)
| Which Opponent has a Score of 3 6, 5 7? | SELECT opponent FROM table_name_52 WHERE score = "3–6, 5–7" | SELECT "opponent" FROM "table_name_52" WHERE "3–6, 5–7" = "score" | 0.063477 |
CREATE TABLE table_29319 ("No. in series" FLOAT, "No. in season" FLOAT, "Title" CLOB, "Directed by" CLOB, "Written by" CLOB, "Original air date" CLOB, "Production code" CLOB, "U.S. viewers ( million ) " CLOB)
| What original air date has 5.85 u.s. viewers (million)? | SELECT "Original air date" FROM table_29319 WHERE "U.S. viewers (million)" = '5.85' | SELECT "Original air date" FROM "table_29319" WHERE "U.S. viewers (million)" = '5.85' | 0.083008 |
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