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CREATE TABLE table_40835 ("Date" TEXT, "Tournament" TEXT, "Winning score" TEXT, "Margin of victory" TEXT, "Runner ( s ) -up" TEXT)
| In the tournament where Stuart Appleby was the runner-up, what was the margin of victory? | SELECT "Margin of victory" FROM table_40835 WHERE "Runner(s)-up" = 'stuart appleby' | SELECT "Margin of victory" FROM "table_40835" WHERE "Runner(s)-up" = 'stuart appleby' | 0.083008 |
CREATE TABLE election (Delegate VARCHAR, Party VARCHAR)
CREATE TABLE party (Party VARCHAR, Party_ID VARCHAR)
| Show the delegates and the names of the party they belong to. | SELECT T1.Delegate, T2.Party FROM election AS T1 JOIN party AS T2 ON T1.Party = T2.Party_ID | SELECT "T1"."Delegate", "T2"."Party" FROM "election" AS "T1" JOIN "party" AS "T2" ON "T1"."Party" = "T2"."Party_ID" | 0.112305 |
CREATE TABLE table_57386 ("Player" TEXT, "Date of Birth" TEXT, "Batting Style" TEXT, "Bowling Style" TEXT, "First Class Team" TEXT)
| What bowling style does First Class Team, Griqualand West have? | SELECT "Bowling Style" FROM table_57386 WHERE "First Class Team" = 'griqualand west' | SELECT "Bowling Style" FROM "table_57386" WHERE "First Class Team" = 'griqualand west' | 0.083984 |
CREATE TABLE table_55415 ("Edition" TEXT, "Round" TEXT, "Date" TEXT, "Surface" TEXT, "Opponent" TEXT, "Result" TEXT)
| On July 15, 1984 what surface was used? | SELECT "Surface" FROM table_55415 WHERE "Date" = 'july 15, 1984' | SELECT "Surface" FROM "table_55415" WHERE "Date" = 'july 15, 1984' | 0.064453 |
CREATE TABLE table_name_43 (runner_up VARCHAR, year VARCHAR, arena VARCHAR)
| Who was the runner-up at the Broadmoor Arena before 2008? | SELECT runner_up FROM table_name_43 WHERE year < 2008 AND arena = "broadmoor arena" | SELECT "runner_up" FROM "table_name_43" WHERE "arena" = "broadmoor arena" AND "year" < 2008 | 0.088867 |
CREATE TABLE compartment_class (compartment VARCHAR, class_type VARCHAR)
CREATE TABLE time_interval (period TEXT, begin_time INT, end_time INT)
CREATE TABLE class_of_service (booking_class VARCHAR, rank INT, class_description TEXT)
CREATE TABLE city (city_code VARCHAR, city_name VARCHAR, state_code VARCHAR, country_name VARCHAR, time_zone_code VARCHAR)
CREATE TABLE code_description (code VARCHAR, description TEXT)
CREATE TABLE aircraft (aircraft_code VARCHAR, aircraft_description VARCHAR, manufacturer VARCHAR, basic_type VARCHAR, engines INT, propulsion VARCHAR, wide_body VARCHAR, wing_span INT, length INT, weight INT, capacity INT, pay_load INT, cruising_speed INT, range_miles INT, pressurized VARCHAR)
CREATE TABLE flight (aircraft_code_sequence TEXT, airline_code VARCHAR, airline_flight TEXT, arrival_time INT, connections INT, departure_time INT, dual_carrier TEXT, flight_days TEXT, flight_id INT, flight_number INT, from_airport VARCHAR, meal_code TEXT, stops INT, time_elapsed INT, to_airport VARCHAR)
CREATE TABLE date_day (month_number INT, day_number INT, year INT, day_name VARCHAR)
CREATE TABLE state (state_code TEXT, state_name TEXT, country_name TEXT)
CREATE TABLE airline (airline_code VARCHAR, airline_name TEXT, note TEXT)
CREATE TABLE month (month_number INT, month_name TEXT)
CREATE TABLE time_zone (time_zone_code TEXT, time_zone_name TEXT, hours_from_gmt INT)
CREATE TABLE equipment_sequence (aircraft_code_sequence VARCHAR, aircraft_code VARCHAR)
CREATE TABLE dual_carrier (main_airline VARCHAR, low_flight_number INT, high_flight_number INT, dual_airline VARCHAR, service_name TEXT)
CREATE TABLE flight_leg (flight_id INT, leg_number INT, leg_flight INT)
CREATE TABLE flight_fare (flight_id INT, fare_id INT)
CREATE TABLE days (days_code VARCHAR, day_name VARCHAR)
CREATE TABLE ground_service (city_code TEXT, airport_code TEXT, transport_type TEXT, ground_fare INT)
CREATE TABLE airport (airport_code VARCHAR, airport_name TEXT, airport_location TEXT, state_code VARCHAR, country_name VARCHAR, time_zone_code VARCHAR, minimum_connect_time INT)
CREATE TABLE flight_stop (flight_id INT, stop_number INT, stop_days TEXT, stop_airport TEXT, arrival_time INT, arrival_airline TEXT, arrival_flight_number INT, departure_time INT, departure_airline TEXT, departure_flight_number INT, stop_time INT)
CREATE TABLE airport_service (city_code VARCHAR, airport_code VARCHAR, miles_distant INT, direction VARCHAR, minutes_distant INT)
CREATE TABLE food_service (meal_code TEXT, meal_number INT, compartment TEXT, meal_description VARCHAR)
CREATE TABLE fare_basis (fare_basis_code TEXT, booking_class TEXT, class_type TEXT, premium TEXT, economy TEXT, discounted TEXT, night TEXT, season TEXT, basis_days TEXT)
CREATE TABLE restriction (restriction_code TEXT, advance_purchase INT, stopovers TEXT, saturday_stay_required TEXT, minimum_stay INT, maximum_stay INT, application TEXT, no_discounts TEXT)
CREATE TABLE fare (fare_id INT, from_airport VARCHAR, to_airport VARCHAR, fare_basis_code TEXT, fare_airline TEXT, restriction_code TEXT, one_direction_cost INT, round_trip_cost INT, round_trip_required VARCHAR)
| do you fly a 747 from BALTIMORE to SAN FRANCISCO | SELECT DISTINCT flight.flight_id FROM aircraft, airport_service AS AIRPORT_SERVICE_0, airport_service AS AIRPORT_SERVICE_1, city AS CITY_0, city AS CITY_1, equipment_sequence, flight WHERE (aircraft.basic_type = '747' AND CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'SAN FRANCISCO' AND equipment_sequence.aircraft_code = aircraft.aircraft_code AND flight.aircraft_code_sequence = equipment_sequence.aircraft_code_sequence AND flight.to_airport = AIRPORT_SERVICE_1.airport_code) AND CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'BALTIMORE' AND flight.from_airport = AIRPORT_SERVICE_0.airport_code | SELECT DISTINCT "flight"."flight_id" FROM "aircraft" JOIN "equipment_sequence" ON "aircraft"."aircraft_code" = "equipment_sequence"."aircraft_code" JOIN "flight" ON "equipment_sequence"."aircraft_code_sequence" = "flight"."aircraft_code_sequence" JOIN "airport_service" AS "AIRPORT_SERVICE_0" ON "AIRPORT_SERVICE_0"."airport_code" = "flight"."from_airport" JOIN "airport_service" AS "AIRPORT_SERVICE_1" ON "AIRPORT_SERVICE_1"."airport_code" = "flight"."to_airport" JOIN "city" AS "CITY_0" ON "AIRPORT_SERVICE_0"."city_code" = "CITY_0"."city_code" AND "CITY_0"."city_name" = 'BALTIMORE' JOIN "city" AS "CITY_1" ON "AIRPORT_SERVICE_1"."city_code" = "CITY_1"."city_code" AND "CITY_1"."city_name" = 'SAN FRANCISCO' WHERE "aircraft"."basic_type" = '747' | 0.730469 |
CREATE TABLE employees (EMPLOYEE_ID DECIMAL, FIRST_NAME VARCHAR, LAST_NAME VARCHAR, EMAIL VARCHAR, PHONE_NUMBER VARCHAR, HIRE_DATE DATE, JOB_ID VARCHAR, SALARY DECIMAL, COMMISSION_PCT DECIMAL, MANAGER_ID DECIMAL, DEPARTMENT_ID DECIMAL)
CREATE TABLE departments (DEPARTMENT_ID DECIMAL, DEPARTMENT_NAME VARCHAR, MANAGER_ID DECIMAL, LOCATION_ID DECIMAL)
CREATE TABLE regions (REGION_ID DECIMAL, REGION_NAME VARCHAR)
CREATE TABLE locations (LOCATION_ID DECIMAL, STREET_ADDRESS VARCHAR, POSTAL_CODE VARCHAR, CITY VARCHAR, STATE_PROVINCE VARCHAR, COUNTRY_ID VARCHAR)
CREATE TABLE jobs (JOB_ID VARCHAR, JOB_TITLE VARCHAR, MIN_SALARY DECIMAL, MAX_SALARY DECIMAL)
CREATE TABLE job_history (EMPLOYEE_ID DECIMAL, START_DATE DATE, END_DATE DATE, JOB_ID VARCHAR, DEPARTMENT_ID DECIMAL)
CREATE TABLE countries (COUNTRY_ID VARCHAR, COUNTRY_NAME VARCHAR, REGION_ID DECIMAL)
| Compute the number of each type of job ids for employees who make more than the highest-earning employee with title PU_MAN, with a bar chart, and rank by the bars from low to high. | SELECT JOB_ID, COUNT(JOB_ID) FROM employees WHERE SALARY > (SELECT MAX(SALARY) FROM employees WHERE JOB_ID = 'PU_MAN') GROUP BY JOB_ID ORDER BY JOB_ID | SELECT "JOB_ID", COUNT("JOB_ID") FROM "employees" WHERE "SALARY" > (SELECT MAX("SALARY") FROM "employees" WHERE "JOB_ID" = 'PU_MAN') GROUP BY "JOB_ID" ORDER BY "JOB_ID" NULLS FIRST | 0.175781 |
CREATE TABLE PostLinks (Id DECIMAL, CreationDate TIME, PostId DECIMAL, RelatedPostId DECIMAL, LinkTypeId DECIMAL)
CREATE TABLE ReviewTasks (Id DECIMAL, ReviewTaskTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId DECIMAL, PostId DECIMAL, SuggestedEditId DECIMAL, CompletedByReviewTaskId DECIMAL)
CREATE TABLE PostTags (PostId DECIMAL, TagId DECIMAL)
CREATE TABLE PostNoticeTypes (Id DECIMAL, ClassId DECIMAL, Name TEXT, Body TEXT, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId DECIMAL)
CREATE TABLE CloseReasonTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE PostNotices (Id DECIMAL, PostId DECIMAL, PostNoticeTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body TEXT, OwnerUserId DECIMAL, DeletionUserId DECIMAL)
CREATE TABLE ReviewTaskStates (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE TagSynonyms (Id DECIMAL, SourceTagName TEXT, TargetTagName TEXT, CreationDate TIME, OwnerUserId DECIMAL, AutoRenameCount DECIMAL, LastAutoRename TIME, Score DECIMAL, ApprovedByUserId DECIMAL, ApprovalDate TIME)
CREATE TABLE Comments (Id DECIMAL, PostId DECIMAL, Score DECIMAL, Text TEXT, CreationDate TIME, UserDisplayName TEXT, UserId DECIMAL, ContentLicense TEXT)
CREATE TABLE Posts (Id DECIMAL, PostTypeId DECIMAL, AcceptedAnswerId DECIMAL, ParentId DECIMAL, CreationDate TIME, DeletionDate TIME, Score DECIMAL, ViewCount DECIMAL, Body TEXT, OwnerUserId DECIMAL, OwnerDisplayName TEXT, LastEditorUserId DECIMAL, LastEditorDisplayName TEXT, LastEditDate TIME, LastActivityDate TIME, Title TEXT, Tags TEXT, AnswerCount DECIMAL, CommentCount DECIMAL, FavoriteCount DECIMAL, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense TEXT)
CREATE TABLE VoteTypes (Id DECIMAL, Name TEXT)
CREATE TABLE PostFeedback (Id DECIMAL, PostId DECIMAL, IsAnonymous BOOLEAN, VoteTypeId DECIMAL, CreationDate TIME)
CREATE TABLE Badges (Id DECIMAL, UserId DECIMAL, Name TEXT, Date TIME, Class DECIMAL, TagBased BOOLEAN)
CREATE TABLE Tags (Id DECIMAL, TagName TEXT, Count DECIMAL, ExcerptPostId DECIMAL, WikiPostId DECIMAL)
CREATE TABLE Votes (Id DECIMAL, PostId DECIMAL, VoteTypeId DECIMAL, UserId DECIMAL, CreationDate TIME, BountyAmount DECIMAL)
CREATE TABLE ReviewRejectionReasons (Id DECIMAL, Name TEXT, Description TEXT, PostTypeId DECIMAL)
CREATE TABLE ReviewTaskTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE CloseAsOffTopicReasonTypes (Id DECIMAL, IsUniversal BOOLEAN, InputTitle TEXT, MarkdownInputGuidance TEXT, MarkdownPostOwnerGuidance TEXT, MarkdownPrivilegedUserGuidance TEXT, MarkdownConcensusDescription TEXT, CreationDate TIME, CreationModeratorId DECIMAL, ApprovalDate TIME, ApprovalModeratorId DECIMAL, DeactivationDate TIME, DeactivationModeratorId DECIMAL)
CREATE TABLE PostsWithDeleted (Id DECIMAL, PostTypeId DECIMAL, AcceptedAnswerId DECIMAL, ParentId DECIMAL, CreationDate TIME, DeletionDate TIME, Score DECIMAL, ViewCount DECIMAL, Body TEXT, OwnerUserId DECIMAL, OwnerDisplayName TEXT, LastEditorUserId DECIMAL, LastEditorDisplayName TEXT, LastEditDate TIME, LastActivityDate TIME, Title TEXT, Tags TEXT, AnswerCount DECIMAL, CommentCount DECIMAL, FavoriteCount DECIMAL, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense TEXT)
CREATE TABLE SuggestedEditVotes (Id DECIMAL, SuggestedEditId DECIMAL, UserId DECIMAL, VoteTypeId DECIMAL, CreationDate TIME, TargetUserId DECIMAL, TargetRepChange DECIMAL)
CREATE TABLE FlagTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE PendingFlags (Id DECIMAL, FlagTypeId DECIMAL, PostId DECIMAL, CreationDate TIME, CloseReasonTypeId DECIMAL, CloseAsOffTopicReasonTypeId DECIMAL, DuplicateOfQuestionId DECIMAL, BelongsOnBaseHostAddress TEXT)
CREATE TABLE PostTypes (Id DECIMAL, Name TEXT)
CREATE TABLE Users (Id DECIMAL, Reputation DECIMAL, CreationDate TIME, DisplayName TEXT, LastAccessDate TIME, WebsiteUrl TEXT, Location TEXT, AboutMe TEXT, Views DECIMAL, UpVotes DECIMAL, DownVotes DECIMAL, ProfileImageUrl TEXT, EmailHash TEXT, AccountId DECIMAL)
CREATE TABLE PostHistory (Id DECIMAL, PostHistoryTypeId DECIMAL, PostId DECIMAL, RevisionGUID other, CreationDate TIME, UserId DECIMAL, UserDisplayName TEXT, Comment TEXT, Text TEXT, ContentLicense TEXT)
CREATE TABLE SuggestedEdits (Id DECIMAL, PostId DECIMAL, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId DECIMAL, Comment TEXT, Text TEXT, Title TEXT, Tags TEXT, RevisionGUID other)
CREATE TABLE ReviewTaskResults (Id DECIMAL, ReviewTaskId DECIMAL, ReviewTaskResultTypeId DECIMAL, CreationDate TIME, RejectionReasonId DECIMAL, Comment TEXT)
CREATE TABLE PostHistoryTypes (Id DECIMAL, Name TEXT)
CREATE TABLE ReviewTaskResultTypes (Id DECIMAL, Name TEXT, Description TEXT)
| Find Reputable Users By Country And Keyword. | SELECT ROW_NUMBER() OVER (ORDER BY Reputation DESC) AS "#", Id AS "user_link", Reputation FROM Users WHERE LOWER(Location) LIKE LOWER('%##CountryName##%') AND LOWER(AboutMe) LIKE LOWER('%##Keyword##%') AND Reputation >= '##MinReputation##' ORDER BY Reputation DESC | SELECT ROW_NUMBER() OVER (ORDER BY "Reputation" DESC NULLS LAST) AS "#", "Id" AS "user_link", "Reputation" FROM "Users" WHERE "Reputation" >= '##MinReputation##' AND LOWER("AboutMe") LIKE LOWER('%##Keyword##%') AND LOWER("Location") LIKE LOWER('%##CountryName##%') ORDER BY "Reputation" DESC NULLS LAST | 0.294922 |
CREATE TABLE table_68226 ("Date" TEXT, "Time ( CEST ) " FLOAT, "Team #1" TEXT, "Res." TEXT, "Team #2" TEXT, "Round" TEXT, "Spectators" FLOAT)
| Name the spectators for 11 november 2011 | SELECT "Spectators" FROM table_68226 WHERE "Date" = '11 november 2011' | SELECT "Spectators" FROM "table_68226" WHERE "Date" = '11 november 2011' | 0.070313 |
CREATE TABLE table_name_40 (date VARCHAR, opponent VARCHAR, game VARCHAR, location VARCHAR, points VARCHAR)
| Date for scotiabank place with less than 20 points, game larger than 16, and an opponent of montreal canadiens? | SELECT date FROM table_name_40 WHERE location = "scotiabank place" AND points < 20 AND game > 16 AND opponent = "montreal canadiens" | SELECT "date" FROM "table_name_40" WHERE "game" > 16 AND "location" = "scotiabank place" AND "montreal canadiens" = "opponent" AND "points" < 20 | 0.140625 |
CREATE TABLE table_30086 ("\\u2116" FLOAT, "#" FLOAT, "Title" TEXT, "Directed by" TEXT, "Written by" TEXT, "Original air date" TEXT, "Production code" TEXT, "U.S. viewers ( million ) " TEXT)
| How many episode numbers had US viewership of 4.26 million? | SELECT COUNT("\u2116") FROM table_30086 WHERE "U.S. viewers (million)" = '4.26' | SELECT COUNT("\u2116") FROM "table_30086" WHERE "U.S. viewers (million)" = '4.26' | 0.079102 |
CREATE TABLE table_name_89 (cores VARCHAR, part_number_s_ VARCHAR)
| What's the cores with the part number cl8064701477202? | SELECT cores FROM table_name_89 WHERE part_number_s_ = "cl8064701477202" | SELECT "cores" FROM "table_name_89" WHERE "cl8064701477202" = "part_number_s_" | 0.076172 |
CREATE TABLE table_51715 ("Grand Prix" TEXT, "Pole Position" TEXT, "Fastest Lap" TEXT, "Winning Driver" TEXT, "Constructor" TEXT, "Report" TEXT)
| When Michael Schumacher won the race, who had the fastest lap? | SELECT "Fastest Lap" FROM table_51715 WHERE "Winning Driver" = 'michael schumacher' | SELECT "Fastest Lap" FROM "table_51715" WHERE "Winning Driver" = 'michael schumacher' | 0.083008 |
CREATE TABLE departments (DEPARTMENT_ID DECIMAL, DEPARTMENT_NAME VARCHAR, MANAGER_ID DECIMAL, LOCATION_ID DECIMAL)
CREATE TABLE job_history (EMPLOYEE_ID DECIMAL, START_DATE DATE, END_DATE DATE, JOB_ID VARCHAR, DEPARTMENT_ID DECIMAL)
CREATE TABLE locations (LOCATION_ID DECIMAL, STREET_ADDRESS VARCHAR, POSTAL_CODE VARCHAR, CITY VARCHAR, STATE_PROVINCE VARCHAR, COUNTRY_ID VARCHAR)
CREATE TABLE jobs (JOB_ID VARCHAR, JOB_TITLE VARCHAR, MIN_SALARY DECIMAL, MAX_SALARY DECIMAL)
CREATE TABLE employees (EMPLOYEE_ID DECIMAL, FIRST_NAME VARCHAR, LAST_NAME VARCHAR, EMAIL VARCHAR, PHONE_NUMBER VARCHAR, HIRE_DATE DATE, JOB_ID VARCHAR, SALARY DECIMAL, COMMISSION_PCT DECIMAL, MANAGER_ID DECIMAL, DEPARTMENT_ID DECIMAL)
CREATE TABLE countries (COUNTRY_ID VARCHAR, COUNTRY_NAME VARCHAR, REGION_ID DECIMAL)
CREATE TABLE regions (REGION_ID DECIMAL, REGION_NAME VARCHAR)
| For all employees who have the letters D or S in their first name, a bar chart shows the distribution of hire_date and the average of manager_id bin hire_date by time. | SELECT HIRE_DATE, AVG(MANAGER_ID) FROM employees WHERE FIRST_NAME LIKE '%D%' OR FIRST_NAME LIKE '%S%' | SELECT "HIRE_DATE", AVG("MANAGER_ID") FROM "employees" WHERE "FIRST_NAME" LIKE '%D%' OR "FIRST_NAME" LIKE '%S%' | 0.108398 |
CREATE TABLE Rooms (RoomId TEXT, roomName TEXT, beds INT, bedType TEXT, maxOccupancy INT, basePrice INT, decor TEXT)
CREATE TABLE Reservations (Code INT, Room TEXT, CheckIn TEXT, CheckOut TEXT, Rate FLOAT, LastName TEXT, FirstName TEXT, Adults INT, Kids INT)
| A bar chart for what are the number of the name of rooms booked by customers whose first name has 'ROY' in part?, sort by the the number of roomname in ascending please. | SELECT roomName, COUNT(roomName) FROM Reservations AS T1 JOIN Rooms AS T2 ON T1.Room = T2.RoomId WHERE FirstName LIKE '%ROY%' GROUP BY roomName ORDER BY COUNT(roomName) | SELECT "roomName", COUNT("roomName") FROM "Reservations" AS "T1" JOIN "Rooms" AS "T2" ON "T1"."Room" = "T2"."RoomId" WHERE "FirstName" LIKE '%ROY%' GROUP BY "roomName" ORDER BY COUNT("roomName") NULLS FIRST | 0.201172 |
CREATE TABLE table_name_36 (player VARCHAR, to_par VARCHAR)
| What player has +21 as the to par? | SELECT player FROM table_name_36 WHERE to_par = "+21" | SELECT "player" FROM "table_name_36" WHERE "+21" = "to_par" | 0.057617 |
CREATE TABLE table_55034 ("Outcome" TEXT, "Date" TEXT, "Surface" TEXT, "Opponent" TEXT, "Score" TEXT)
| Which date has a Opponent of juan m naco, and a Score of 6 2, 4 6, 7 6 (7 3)? | SELECT "Date" FROM table_55034 WHERE "Opponent" = 'juan mónaco' AND "Score" = '6–2, 4–6, 7–6 (7–3)' | SELECT "Date" FROM "table_55034" WHERE "Opponent" = 'juan mónaco' AND "Score" = '6–2, 4–6, 7–6 (7–3)' | 0.098633 |
CREATE TABLE table_59501 ("Date" TEXT, "Opponents" TEXT, "H / A" TEXT, "Result F \\u2013 A" TEXT, "Attendance" FLOAT)
| What's the total attendance for H/A of A and opponents of wolverhampton wanderers? | SELECT COUNT("Attendance") FROM table_59501 WHERE "H / A" = 'a' AND "Opponents" = 'wolverhampton wanderers' | SELECT COUNT("Attendance") FROM "table_59501" WHERE "H / A" = 'a' AND "Opponents" = 'wolverhampton wanderers' | 0.106445 |
CREATE TABLE table_24465 ("Category" TEXT, "Sub-category" TEXT, "Cab size" TEXT, "Drive wheels" TEXT, "Capacity ( litres ) " TEXT)
| Name the capacity for single cab size 2 medium tanker | SELECT "Capacity (litres)" FROM table_24465 WHERE "Cab size" = 'Single' AND "Category" = '2 Medium tanker' | SELECT "Capacity (litres)" FROM "table_24465" WHERE "Cab size" = 'Single' AND "Category" = '2 Medium tanker' | 0.105469 |
CREATE TABLE table_49928 ("Week" FLOAT, "Date" TEXT, "Opponent" TEXT, "Result" TEXT, "Attendance" FLOAT)
| What was the date of week 8? | SELECT "Date" FROM table_49928 WHERE "Week" = '8' | SELECT "Date" FROM "table_49928" WHERE "Week" = '8' | 0.049805 |
CREATE TABLE table_6669 ("Mission" TEXT, "Resident Country" TEXT, "Local Location" TEXT, "Local Mission" TEXT, "Local Position" TEXT)
| What is the mission for switzerland as a resident County? | SELECT "Mission" FROM table_6669 WHERE "Resident Country" = 'switzerland' | SELECT "Mission" FROM "table_6669" WHERE "Resident Country" = 'switzerland' | 0.073242 |
CREATE TABLE table_6285 ("Rank" TEXT, "Institution" TEXT, "Gold" FLOAT, "Silver" FLOAT, "Bronze" FLOAT)
| What is the average number of silvers for teams ranked 5 with 0 bronze? | SELECT AVG("Silver") FROM table_6285 WHERE "Rank" = '5' AND "Bronze" < '0' | SELECT AVG("Silver") FROM "table_6285" WHERE "Bronze" < '0' AND "Rank" = '5' | 0.074219 |
CREATE TABLE d_icd_diagnoses (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE d_items (row_id DECIMAL, itemid DECIMAL, label TEXT, linksto TEXT)
CREATE TABLE procedures_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE d_icd_procedures (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE admissions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, admittime TIME, dischtime TIME, admission_type TEXT, admission_location TEXT, discharge_location TEXT, insurance TEXT, language TEXT, marital_status TEXT, ethnicity TEXT, age DECIMAL)
CREATE TABLE patients (row_id DECIMAL, subject_id DECIMAL, gender TEXT, dob TIME, dod TIME)
CREATE TABLE chartevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE transfers (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, eventtype TEXT, careunit TEXT, wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE labevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE outputevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, value DECIMAL)
CREATE TABLE cost (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, event_type TEXT, event_id DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE d_labitems (row_id DECIMAL, itemid DECIMAL, label TEXT)
CREATE TABLE prescriptions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, startdate TIME, enddate TIME, drug TEXT, dose_val_rx TEXT, dose_unit_rx TEXT, route TEXT)
CREATE TABLE inputevents_cv (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, amount DECIMAL)
CREATE TABLE icustays (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, first_careunit TEXT, last_careunit TEXT, first_wardid DECIMAL, last_wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE microbiologyevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, charttime TIME, spec_type_desc TEXT, org_name TEXT)
CREATE TABLE diagnoses_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
| indicate the daily maximum amount of sao2 for patient 17953 until 977 days ago. | 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 = 17953)) AND chartevents.itemid IN (SELECT d_items.itemid FROM d_items WHERE d_items.label = 'sao2' AND d_items.linksto = 'chartevents') AND DATETIME(chartevents.charttime) <= DATETIME(CURRENT_TIME(), '-977 day') GROUP BY STRFTIME('%y-%m-%d', chartevents.charttime) | WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 17953 GROUP BY "hadm_id"), "_u_1" AS (SELECT "icustays"."icustay_id" FROM "icustays" LEFT JOIN "_u_0" AS "_u_0" ON "_u_0"."" = "icustays"."hadm_id" WHERE NOT "_u_0"."" IS NULL GROUP BY "icustay_id"), "_u_2" AS (SELECT "d_items"."itemid" FROM "d_items" WHERE "d_items"."label" = 'sao2' AND "d_items"."linksto" = 'chartevents' GROUP BY "itemid") SELECT MAX("chartevents"."valuenum") FROM "chartevents" LEFT JOIN "_u_1" AS "_u_1" ON "_u_1"."" = "chartevents"."icustay_id" LEFT JOIN "_u_2" AS "_u_2" ON "_u_2"."" = "chartevents"."itemid" WHERE DATETIME("chartevents"."charttime") <= DATETIME(CURRENT_TIME(), '-977 day') AND NOT "_u_1"."" IS NULL AND NOT "_u_2"."" IS NULL GROUP BY STRFTIME('%y-%m-%d', "chartevents"."charttime") | 0.802734 |
CREATE TABLE table_76757 ("Episode #" FLOAT, "US air date" TEXT, "Rating" TEXT, "Share" TEXT, "Rating/Share ( 18\\u201349 ) " TEXT, "Viewers ( millions ) " FLOAT)
| What is the rating/share for episode 13? | SELECT "Rating/Share (18\u201349)" FROM table_76757 WHERE "Episode #" = '13' | SELECT "Rating/Share (18\u201349)" FROM "table_76757" WHERE "Episode #" = '13' | 0.076172 |
CREATE TABLE table_name_11 (stages VARCHAR, distance VARCHAR)
| How many stages are in a distance of 2,192 km? | SELECT stages FROM table_name_11 WHERE distance = "2,192 km" | SELECT "stages" FROM "table_name_11" WHERE "2,192 km" = "distance" | 0.064453 |
CREATE TABLE train (train_number VARCHAR, TIME VARCHAR, origin VARCHAR, destination VARCHAR)
| Find the number and time of the train that goes from Chennai to Guruvayur. | SELECT train_number, TIME FROM train WHERE origin = 'Chennai' AND destination = 'Guruvayur' | SELECT "train_number", "TIME" FROM "train" WHERE "destination" = 'Guruvayur' AND "origin" = 'Chennai' | 0.098633 |
CREATE TABLE table_10470082_4 (villains VARCHAR, _number VARCHAR)
| Who is the villain in episode #7? | SELECT villains FROM table_10470082_4 WHERE _number = 7 | SELECT "villains" FROM "table_10470082_4" WHERE "_number" = 7 | 0.05957 |
CREATE TABLE microbiologyevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, charttime TIME, spec_type_desc TEXT, org_name TEXT)
CREATE TABLE inputevents_cv (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, amount DECIMAL)
CREATE TABLE prescriptions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, startdate TIME, enddate TIME, drug TEXT, dose_val_rx TEXT, dose_unit_rx TEXT, route TEXT)
CREATE TABLE procedures_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE d_items (row_id DECIMAL, itemid DECIMAL, label TEXT, linksto TEXT)
CREATE TABLE transfers (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, eventtype TEXT, careunit TEXT, wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE chartevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE d_icd_procedures (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE labevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE diagnoses_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE d_labitems (row_id DECIMAL, itemid DECIMAL, label TEXT)
CREATE TABLE icustays (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, first_careunit TEXT, last_careunit TEXT, first_wardid DECIMAL, last_wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE admissions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, admittime TIME, dischtime TIME, admission_type TEXT, admission_location TEXT, discharge_location TEXT, insurance TEXT, language TEXT, marital_status TEXT, ethnicity TEXT, age DECIMAL)
CREATE TABLE outputevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, value DECIMAL)
CREATE TABLE cost (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, event_type TEXT, event_id DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE patients (row_id DECIMAL, subject_id DECIMAL, gender TEXT, dob TIME, dod TIME)
CREATE TABLE d_icd_diagnoses (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
| during the last hospital encounter, was there any microbiological test record for patient 20165's tissue? | SELECT COUNT(*) > 0 FROM microbiologyevents WHERE microbiologyevents.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 20165 AND NOT admissions.dischtime IS NULL ORDER BY admissions.admittime DESC LIMIT 1) AND microbiologyevents.spec_type_desc = 'tissue' | SELECT COUNT(*) > 0 FROM "microbiologyevents" WHERE "microbiologyevents"."hadm_id" IN (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 20165 AND NOT "admissions"."dischtime" IS NULL ORDER BY "admissions"."admittime" DESC NULLS LAST LIMIT 1) AND "microbiologyevents"."spec_type_desc" = 'tissue' | 0.319336 |
CREATE TABLE table_name_67 (away_team VARCHAR, home_team VARCHAR)
| Who is the away team that played home team Footscray? | SELECT away_team FROM table_name_67 WHERE home_team = "footscray" | SELECT "away_team" FROM "table_name_67" WHERE "footscray" = "home_team" | 0.069336 |
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
| what is the number of patients whose admission year is less than 2144 and lab test name is lipase? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.admityear < "2144" AND lab.label = "Lipase" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "lab" ON "Lipase" = "lab"."label" AND "demographic"."hadm_id" = "lab"."hadm_id" WHERE "2144" > "demographic"."admityear" | 0.189453 |
CREATE TABLE patients (row_id DECIMAL, subject_id DECIMAL, gender TEXT, dob TIME, dod TIME)
CREATE TABLE icustays (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, first_careunit TEXT, last_careunit TEXT, first_wardid DECIMAL, last_wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE outputevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, value DECIMAL)
CREATE TABLE cost (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, event_type TEXT, event_id DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE d_icd_procedures (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE prescriptions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, startdate TIME, enddate TIME, drug TEXT, dose_val_rx TEXT, dose_unit_rx TEXT, route TEXT)
CREATE TABLE microbiologyevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, charttime TIME, spec_type_desc TEXT, org_name TEXT)
CREATE TABLE transfers (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, eventtype TEXT, careunit TEXT, wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE d_labitems (row_id DECIMAL, itemid DECIMAL, label TEXT)
CREATE TABLE labevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE inputevents_cv (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, amount DECIMAL)
CREATE TABLE d_icd_diagnoses (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE admissions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, admittime TIME, dischtime TIME, admission_type TEXT, admission_location TEXT, discharge_location TEXT, insurance TEXT, language TEXT, marital_status TEXT, ethnicity TEXT, age DECIMAL)
CREATE TABLE d_items (row_id DECIMAL, itemid DECIMAL, label TEXT, linksto TEXT)
CREATE TABLE procedures_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE diagnoses_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE chartevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
| since 2100, what were the top three most frequent microbiological tests ordered for patients during the same month after lap abd rep-diaphr hern? | SELECT t3.spec_type_desc FROM (SELECT t2.spec_type_desc, 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 = 'lap abd rep-diaphr hern') AND STRFTIME('%y', procedures_icd.charttime) >= '2100') AS t1 JOIN (SELECT admissions.subject_id, microbiologyevents.spec_type_desc, microbiologyevents.charttime FROM microbiologyevents JOIN admissions ON microbiologyevents.hadm_id = admissions.hadm_id WHERE STRFTIME('%y', microbiologyevents.charttime) >= '2100') 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.spec_type_desc) AS t3 WHERE t3.c1 <= 3 | WITH "t2" AS (SELECT "admissions"."subject_id", "microbiologyevents"."spec_type_desc", "microbiologyevents"."charttime" FROM "microbiologyevents" JOIN "admissions" ON "admissions"."hadm_id" = "microbiologyevents"."hadm_id" WHERE STRFTIME('%y', "microbiologyevents"."charttime") >= '2100'), "t3" AS (SELECT "t2"."spec_type_desc", DENSE_RANK() OVER (ORDER BY COUNT(*) DESC NULLS LAST) 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" = 'lap abd rep-diaphr hern' JOIN "admissions" ON "admissions"."hadm_id" = "procedures_icd"."hadm_id" JOIN "t2" AS "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") >= '2100' GROUP BY "t2"."spec_type_desc") SELECT "t3"."spec_type_desc" FROM "t3" AS "t3" WHERE "t3"."c1" <= 3 | 1.00293 |
CREATE TABLE table_18437 ("District" TEXT, "Incumbent" TEXT, "Party" TEXT, "First elected" FLOAT, "Result" TEXT, "Candidates" TEXT)
| When was Dale Alford first elected in the Arkansas 5 district? | SELECT "First elected" FROM table_18437 WHERE "District" = 'Arkansas 5' | SELECT "First elected" FROM "table_18437" WHERE "District" = 'Arkansas 5' | 0.071289 |
CREATE TABLE lab (labid DECIMAL, patientunitstayid DECIMAL, labname TEXT, labresult DECIMAL, labresulttime TIME)
CREATE TABLE treatment (treatmentid DECIMAL, patientunitstayid DECIMAL, treatmentname TEXT, treatmenttime TIME)
CREATE TABLE vitalperiodic (vitalperiodicid DECIMAL, patientunitstayid DECIMAL, temperature DECIMAL, sao2 DECIMAL, heartrate DECIMAL, respiration DECIMAL, systemicsystolic DECIMAL, systemicdiastolic DECIMAL, systemicmean DECIMAL, observationtime TIME)
CREATE TABLE diagnosis (diagnosisid DECIMAL, patientunitstayid DECIMAL, diagnosisname TEXT, diagnosistime TIME, icd9code TEXT)
CREATE TABLE cost (costid DECIMAL, uniquepid TEXT, patienthealthsystemstayid DECIMAL, eventtype TEXT, eventid DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE microlab (microlabid DECIMAL, patientunitstayid DECIMAL, culturesite TEXT, organism TEXT, culturetakentime TIME)
CREATE TABLE patient (uniquepid TEXT, patienthealthsystemstayid DECIMAL, patientunitstayid DECIMAL, gender TEXT, age TEXT, ethnicity TEXT, hospitalid DECIMAL, wardid DECIMAL, admissionheight DECIMAL, admissionweight DECIMAL, dischargeweight DECIMAL, hospitaladmittime TIME, hospitaladmitsource TEXT, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus TEXT)
CREATE TABLE allergy (allergyid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, allergyname TEXT, allergytime TIME)
CREATE TABLE intakeoutput (intakeoutputid DECIMAL, patientunitstayid DECIMAL, cellpath TEXT, celllabel TEXT, cellvaluenumeric DECIMAL, intakeoutputtime TIME)
CREATE TABLE medication (medicationid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, dosage TEXT, routeadmin TEXT, drugstarttime TIME, drugstoptime TIME)
| how many days since the first time patient 030-42006 was diagnosed in this hospital encounter with bone fracture(s) - thoracic spine? | SELECT 1 * (STRFTIME('%j', CURRENT_TIME()) - STRFTIME('%j', diagnosis.diagnosistime)) FROM diagnosis WHERE diagnosis.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '030-42006' AND patient.hospitaldischargetime IS NULL)) AND diagnosis.diagnosisname = 'bone fracture(s) - thoracic spine' ORDER BY diagnosis.diagnosistime LIMIT 1 | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."hospitaldischargetime" IS NULL AND "patient"."uniquepid" = '030-42006' GROUP BY "patienthealthsystemstayid"), "_u_1" AS (SELECT "patient"."patientunitstayid" FROM "patient" LEFT JOIN "_u_0" AS "_u_0" ON "_u_0"."" = "patient"."patienthealthsystemstayid" WHERE NOT "_u_0"."" IS NULL GROUP BY "patientunitstayid") SELECT 1 * (STRFTIME('%j', CURRENT_TIME()) - STRFTIME('%j', "diagnosis"."diagnosistime")) FROM "diagnosis" LEFT JOIN "_u_1" AS "_u_1" ON "_u_1"."" = "diagnosis"."patientunitstayid" WHERE "diagnosis"."diagnosisname" = 'bone fracture(s) - thoracic spine' AND NOT "_u_1"."" IS NULL ORDER BY "diagnosis"."diagnosistime" NULLS FIRST LIMIT 1 | 0.72168 |
CREATE TABLE table_55542 ("Tournament" TEXT, "Wins" FLOAT, "Top-10" FLOAT, "Top-25" FLOAT, "Events" FLOAT, "Cuts made" FLOAT)
| What is the total number of events with a top-25 less than 0? | SELECT COUNT("Events") FROM table_55542 WHERE "Top-25" < '0' | SELECT COUNT("Events") FROM "table_55542" WHERE "Top-25" < '0' | 0.060547 |
CREATE TABLE table_name_70 (closure_date VARCHAR, region VARCHAR)
| What date was the ensemble in North East England closed? | SELECT closure_date FROM table_name_70 WHERE region = "north east england" | SELECT "closure_date" FROM "table_name_70" WHERE "north east england" = "region" | 0.078125 |
CREATE TABLE table_59244 ("County" TEXT, "Precincts" TEXT, "E. Greenberg" TEXT, "G. Hager" TEXT, "T. Wyka" TEXT)
| Which County has a Precincts of 33/33? | SELECT "County" FROM table_59244 WHERE "Precincts" = '33/33' | SELECT "County" FROM "table_59244" WHERE "Precincts" = '33/33' | 0.060547 |
CREATE TABLE d_icd_diagnoses (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE patients (row_id DECIMAL, subject_id DECIMAL, gender TEXT, dob TIME, dod TIME)
CREATE TABLE prescriptions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, startdate TIME, enddate TIME, drug TEXT, dose_val_rx TEXT, dose_unit_rx TEXT, route TEXT)
CREATE TABLE chartevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE microbiologyevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, charttime TIME, spec_type_desc TEXT, org_name TEXT)
CREATE TABLE d_labitems (row_id DECIMAL, itemid DECIMAL, label TEXT)
CREATE TABLE diagnoses_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE d_items (row_id DECIMAL, itemid DECIMAL, label TEXT, linksto TEXT)
CREATE TABLE inputevents_cv (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, amount DECIMAL)
CREATE TABLE transfers (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, eventtype TEXT, careunit TEXT, wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE procedures_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE admissions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, admittime TIME, dischtime TIME, admission_type TEXT, admission_location TEXT, discharge_location TEXT, insurance TEXT, language TEXT, marital_status TEXT, ethnicity TEXT, age DECIMAL)
CREATE TABLE cost (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, event_type TEXT, event_id DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE icustays (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, first_careunit TEXT, last_careunit TEXT, first_wardid DECIMAL, last_wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE d_icd_procedures (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE outputevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, value DECIMAL)
CREATE TABLE labevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
| what is the last thing patient 10211 had for intake on 04/05/last year? | SELECT d_items.label FROM d_items WHERE d_items.itemid IN (SELECT inputevents_cv.itemid FROM inputevents_cv WHERE inputevents_cv.icustay_id IN (SELECT icustays.icustay_id FROM icustays WHERE icustays.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 10211)) AND DATETIME(inputevents_cv.charttime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year') AND STRFTIME('%m-%d', inputevents_cv.charttime) = '04-05' ORDER BY inputevents_cv.charttime DESC LIMIT 1) | WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 10211 GROUP BY "hadm_id"), "_u_1" AS (SELECT "icustays"."icustay_id" FROM "icustays" LEFT JOIN "_u_0" AS "_u_0" ON "_u_0"."" = "icustays"."hadm_id" WHERE NOT "_u_0"."" IS NULL GROUP BY "icustay_id") SELECT "d_items"."label" FROM "d_items" WHERE "d_items"."itemid" IN (SELECT "inputevents_cv"."itemid" FROM "inputevents_cv" LEFT JOIN "_u_1" AS "_u_1" ON "_u_1"."" = "inputevents_cv"."icustay_id" WHERE DATETIME("inputevents_cv"."charttime", 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year') AND NOT "_u_1"."" IS NULL AND STRFTIME('%m-%d', "inputevents_cv"."charttime") = '04-05' ORDER BY "inputevents_cv"."charttime" DESC NULLS LAST LIMIT 1) | 0.742188 |
CREATE TABLE Reservations (Code INT, Room TEXT, CheckIn TEXT, CheckOut TEXT, Rate FLOAT, LastName TEXT, FirstName TEXT, Adults INT, Kids INT)
CREATE TABLE Rooms (RoomId TEXT, roomName TEXT, beds INT, bedType TEXT, maxOccupancy INT, basePrice INT, decor TEXT)
| A bar chart for finding the number of the name of rooms booked by some customers whose first name contains ROY, and rank from high to low by the y-axis. | SELECT roomName, COUNT(roomName) FROM Reservations AS T1 JOIN Rooms AS T2 ON T1.Room = T2.RoomId WHERE FirstName LIKE '%ROY%' GROUP BY roomName ORDER BY COUNT(roomName) DESC | SELECT "roomName", COUNT("roomName") FROM "Reservations" AS "T1" JOIN "Rooms" AS "T2" ON "T1"."Room" = "T2"."RoomId" WHERE "FirstName" LIKE '%ROY%' GROUP BY "roomName" ORDER BY COUNT("roomName") DESC NULLS LAST | 0.205078 |
CREATE TABLE table_28584 ("District" TEXT, "Incumbent" TEXT, "Party" TEXT, "Elected" FLOAT, "Status" TEXT, "Result" TEXT)
| What is the status in the district with the incumbent Bob Barr? | SELECT "Status" FROM table_28584 WHERE "Incumbent" = 'Bob Barr' | SELECT "Status" FROM "table_28584" WHERE "Incumbent" = 'Bob Barr' | 0.063477 |
CREATE TABLE table_17596418_5 (age VARCHAR, started VARCHAR)
| what ist he total number of ages where the start date is 6 november? | SELECT COUNT(age) FROM table_17596418_5 WHERE started = "6 November" | SELECT COUNT("age") FROM "table_17596418_5" WHERE "6 November" = "started" | 0.072266 |
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
| How many male patients had icd9 code 8842? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.gender = "M" AND procedures.icd9_code = "8842" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "procedures" ON "8842" = "procedures"."icd9_code" AND "demographic"."hadm_id" = "procedures"."hadm_id" WHERE "M" = "demographic"."gender" | 0.206055 |
CREATE TABLE table_43223 ("Card" TEXT, "Weight Class" TEXT, "Round" FLOAT, "Time" TEXT, "Method" TEXT)
| Which method was used in a round greater than 3? | SELECT "Method" FROM table_43223 WHERE "Round" > '3' | SELECT "Method" FROM "table_43223" WHERE "Round" > '3' | 0.052734 |
CREATE TABLE table_name_63 (loss VARCHAR, record VARCHAR)
| What was the loss of the game with a record of 54 42? | SELECT loss FROM table_name_63 WHERE record = "54–42" | SELECT "loss" FROM "table_name_63" WHERE "54–42" = "record" | 0.057617 |
CREATE TABLE ReviewTaskStates (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE PostNotices (Id DECIMAL, PostId DECIMAL, PostNoticeTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body TEXT, OwnerUserId DECIMAL, DeletionUserId DECIMAL)
CREATE TABLE PostTypes (Id DECIMAL, Name TEXT)
CREATE TABLE ReviewTaskResultTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE PendingFlags (Id DECIMAL, FlagTypeId DECIMAL, PostId DECIMAL, CreationDate TIME, CloseReasonTypeId DECIMAL, CloseAsOffTopicReasonTypeId DECIMAL, DuplicateOfQuestionId DECIMAL, BelongsOnBaseHostAddress TEXT)
CREATE TABLE Posts (Id DECIMAL, PostTypeId DECIMAL, AcceptedAnswerId DECIMAL, ParentId DECIMAL, CreationDate TIME, DeletionDate TIME, Score DECIMAL, ViewCount DECIMAL, Body TEXT, OwnerUserId DECIMAL, OwnerDisplayName TEXT, LastEditorUserId DECIMAL, LastEditorDisplayName TEXT, LastEditDate TIME, LastActivityDate TIME, Title TEXT, Tags TEXT, AnswerCount DECIMAL, CommentCount DECIMAL, FavoriteCount DECIMAL, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense TEXT)
CREATE TABLE TagSynonyms (Id DECIMAL, SourceTagName TEXT, TargetTagName TEXT, CreationDate TIME, OwnerUserId DECIMAL, AutoRenameCount DECIMAL, LastAutoRename TIME, Score DECIMAL, ApprovedByUserId DECIMAL, ApprovalDate TIME)
CREATE TABLE ReviewTasks (Id DECIMAL, ReviewTaskTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId DECIMAL, PostId DECIMAL, SuggestedEditId DECIMAL, CompletedByReviewTaskId DECIMAL)
CREATE TABLE PostsWithDeleted (Id DECIMAL, PostTypeId DECIMAL, AcceptedAnswerId DECIMAL, ParentId DECIMAL, CreationDate TIME, DeletionDate TIME, Score DECIMAL, ViewCount DECIMAL, Body TEXT, OwnerUserId DECIMAL, OwnerDisplayName TEXT, LastEditorUserId DECIMAL, LastEditorDisplayName TEXT, LastEditDate TIME, LastActivityDate TIME, Title TEXT, Tags TEXT, AnswerCount DECIMAL, CommentCount DECIMAL, FavoriteCount DECIMAL, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense TEXT)
CREATE TABLE CloseReasonTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE SuggestedEditVotes (Id DECIMAL, SuggestedEditId DECIMAL, UserId DECIMAL, VoteTypeId DECIMAL, CreationDate TIME, TargetUserId DECIMAL, TargetRepChange DECIMAL)
CREATE TABLE PostTags (PostId DECIMAL, TagId DECIMAL)
CREATE TABLE Badges (Id DECIMAL, UserId DECIMAL, Name TEXT, Date TIME, Class DECIMAL, TagBased BOOLEAN)
CREATE TABLE ReviewRejectionReasons (Id DECIMAL, Name TEXT, Description TEXT, PostTypeId DECIMAL)
CREATE TABLE ReviewTaskResults (Id DECIMAL, ReviewTaskId DECIMAL, ReviewTaskResultTypeId DECIMAL, CreationDate TIME, RejectionReasonId DECIMAL, Comment TEXT)
CREATE TABLE Comments (Id DECIMAL, PostId DECIMAL, Score DECIMAL, Text TEXT, CreationDate TIME, UserDisplayName TEXT, UserId DECIMAL, ContentLicense TEXT)
CREATE TABLE PostLinks (Id DECIMAL, CreationDate TIME, PostId DECIMAL, RelatedPostId DECIMAL, LinkTypeId DECIMAL)
CREATE TABLE Votes (Id DECIMAL, PostId DECIMAL, VoteTypeId DECIMAL, UserId DECIMAL, CreationDate TIME, BountyAmount DECIMAL)
CREATE TABLE PostHistory (Id DECIMAL, PostHistoryTypeId DECIMAL, PostId DECIMAL, RevisionGUID other, CreationDate TIME, UserId DECIMAL, UserDisplayName TEXT, Comment TEXT, Text TEXT, ContentLicense TEXT)
CREATE TABLE ReviewTaskTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE VoteTypes (Id DECIMAL, Name TEXT)
CREATE TABLE PostNoticeTypes (Id DECIMAL, ClassId DECIMAL, Name TEXT, Body TEXT, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId DECIMAL)
CREATE TABLE Tags (Id DECIMAL, TagName TEXT, Count DECIMAL, ExcerptPostId DECIMAL, WikiPostId DECIMAL)
CREATE TABLE PostHistoryTypes (Id DECIMAL, Name TEXT)
CREATE TABLE Users (Id DECIMAL, Reputation DECIMAL, CreationDate TIME, DisplayName TEXT, LastAccessDate TIME, WebsiteUrl TEXT, Location TEXT, AboutMe TEXT, Views DECIMAL, UpVotes DECIMAL, DownVotes DECIMAL, ProfileImageUrl TEXT, EmailHash TEXT, AccountId DECIMAL)
CREATE TABLE FlagTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE CloseAsOffTopicReasonTypes (Id DECIMAL, IsUniversal BOOLEAN, InputTitle TEXT, MarkdownInputGuidance TEXT, MarkdownPostOwnerGuidance TEXT, MarkdownPrivilegedUserGuidance TEXT, MarkdownConcensusDescription TEXT, CreationDate TIME, CreationModeratorId DECIMAL, ApprovalDate TIME, ApprovalModeratorId DECIMAL, DeactivationDate TIME, DeactivationModeratorId DECIMAL)
CREATE TABLE SuggestedEdits (Id DECIMAL, PostId DECIMAL, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId DECIMAL, Comment TEXT, Text TEXT, Title TEXT, Tags TEXT, RevisionGUID other)
CREATE TABLE PostFeedback (Id DECIMAL, PostId DECIMAL, IsAnonymous BOOLEAN, VoteTypeId DECIMAL, CreationDate TIME)
| Currently Protected Questions, simple search. | SELECT ph.PostId AS "post_link", ph.CreationDate AS "protected_date", CASE ph.UserId WHEN NULL THEN ph.UserDisplayName ELSE ph.UserId END AS "user_link" FROM PostHistory AS ph WHERE ph.PostHistoryTypeId = 19 ORDER BY ph.PostId, ph.CreationDate | SELECT "ph"."PostId" AS "post_link", "ph"."CreationDate" AS "protected_date", "ph"."UserId" AS "user_link" FROM "PostHistory" AS "ph" WHERE "ph"."PostHistoryTypeId" = 19 ORDER BY "ph"."PostId" NULLS FIRST, "ph"."CreationDate" NULLS FIRST | 0.231445 |
CREATE TABLE labevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE patients (row_id DECIMAL, subject_id DECIMAL, gender TEXT, dob TIME, dod TIME)
CREATE TABLE cost (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, event_type TEXT, event_id DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE outputevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, value DECIMAL)
CREATE TABLE prescriptions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, startdate TIME, enddate TIME, drug TEXT, dose_val_rx TEXT, dose_unit_rx TEXT, route TEXT)
CREATE TABLE icustays (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, first_careunit TEXT, last_careunit TEXT, first_wardid DECIMAL, last_wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE d_labitems (row_id DECIMAL, itemid DECIMAL, label TEXT)
CREATE TABLE chartevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE transfers (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, eventtype TEXT, careunit TEXT, wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE d_icd_procedures (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE inputevents_cv (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, amount DECIMAL)
CREATE TABLE diagnoses_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE procedures_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE microbiologyevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, charttime TIME, spec_type_desc TEXT, org_name TEXT)
CREATE TABLE d_icd_diagnoses (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE d_items (row_id DECIMAL, itemid DECIMAL, label TEXT, linksto TEXT)
CREATE TABLE admissions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, admittime TIME, dischtime TIME, admission_type TEXT, admission_location TEXT, discharge_location TEXT, insurance TEXT, language TEXT, marital_status TEXT, ethnicity TEXT, age DECIMAL)
| what was the first urine out foley output time of patient 53176 today. | SELECT outputevents.charttime FROM outputevents WHERE outputevents.icustay_id IN (SELECT icustays.icustay_id FROM icustays WHERE icustays.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 53176)) AND outputevents.itemid IN (SELECT d_items.itemid FROM d_items WHERE d_items.label = 'urine out foley' AND d_items.linksto = 'outputevents') AND DATETIME(outputevents.charttime, 'start of day') = DATETIME(CURRENT_TIME(), 'start of day', '-0 day') ORDER BY outputevents.charttime LIMIT 1 | WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 53176 GROUP BY "hadm_id"), "_u_1" AS (SELECT "icustays"."icustay_id" FROM "icustays" LEFT JOIN "_u_0" AS "_u_0" ON "_u_0"."" = "icustays"."hadm_id" WHERE NOT "_u_0"."" IS NULL GROUP BY "icustay_id"), "_u_2" AS (SELECT "d_items"."itemid" FROM "d_items" WHERE "d_items"."label" = 'urine out foley' AND "d_items"."linksto" = 'outputevents' GROUP BY "itemid") SELECT "outputevents"."charttime" FROM "outputevents" LEFT JOIN "_u_1" AS "_u_1" ON "_u_1"."" = "outputevents"."icustay_id" LEFT JOIN "_u_2" AS "_u_2" ON "_u_2"."" = "outputevents"."itemid" WHERE DATETIME("outputevents"."charttime", 'start of day') = DATETIME(CURRENT_TIME(), 'start of day', '-0 day') AND NOT "_u_1"."" IS NULL AND NOT "_u_2"."" IS NULL ORDER BY "outputevents"."charttime" NULLS FIRST LIMIT 1 | 0.842773 |
CREATE TABLE table_18412 ("District" TEXT, "Incumbent" TEXT, "Party" TEXT, "First elected" FLOAT, "Result" TEXT, "Candidates" TEXT)
| which section did seymour halpern run in | SELECT "District" FROM table_18412 WHERE "Incumbent" = 'Seymour Halpern' | SELECT "District" FROM "table_18412" WHERE "Incumbent" = 'Seymour Halpern' | 0.072266 |
CREATE TABLE table_58479 ("Driver" TEXT, "Constructor" TEXT, "Laps" FLOAT, "Time/Retired" TEXT, "Grid" FLOAT)
| What is the driver for Grid 8? | SELECT "Driver" FROM table_58479 WHERE "Grid" = '8' | SELECT "Driver" FROM "table_58479" WHERE "Grid" = '8' | 0.051758 |
CREATE TABLE microlab (microlabid DECIMAL, patientunitstayid DECIMAL, culturesite TEXT, organism TEXT, culturetakentime TIME)
CREATE TABLE vitalperiodic (vitalperiodicid DECIMAL, patientunitstayid DECIMAL, temperature DECIMAL, sao2 DECIMAL, heartrate DECIMAL, respiration DECIMAL, systemicsystolic DECIMAL, systemicdiastolic DECIMAL, systemicmean DECIMAL, observationtime TIME)
CREATE TABLE treatment (treatmentid DECIMAL, patientunitstayid DECIMAL, treatmentname TEXT, treatmenttime TIME)
CREATE TABLE lab (labid DECIMAL, patientunitstayid DECIMAL, labname TEXT, labresult DECIMAL, labresulttime TIME)
CREATE TABLE allergy (allergyid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, allergyname TEXT, allergytime TIME)
CREATE TABLE intakeoutput (intakeoutputid DECIMAL, patientunitstayid DECIMAL, cellpath TEXT, celllabel TEXT, cellvaluenumeric DECIMAL, intakeoutputtime TIME)
CREATE TABLE patient (uniquepid TEXT, patienthealthsystemstayid DECIMAL, patientunitstayid DECIMAL, gender TEXT, age TEXT, ethnicity TEXT, hospitalid DECIMAL, wardid DECIMAL, admissionheight DECIMAL, admissionweight DECIMAL, dischargeweight DECIMAL, hospitaladmittime TIME, hospitaladmitsource TEXT, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus TEXT)
CREATE TABLE cost (costid DECIMAL, uniquepid TEXT, patienthealthsystemstayid DECIMAL, eventtype TEXT, eventid DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE diagnosis (diagnosisid DECIMAL, patientunitstayid DECIMAL, diagnosisname TEXT, diagnosistime TIME, icd9code TEXT)
CREATE TABLE medication (medicationid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, dosage TEXT, routeadmin TEXT, drugstarttime TIME, drugstoptime TIME)
| when was last time patient 031-24513 had the minimum sao2 value until 364 days ago? | SELECT vitalperiodic.observationtime FROM vitalperiodic WHERE vitalperiodic.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '031-24513')) AND NOT vitalperiodic.sao2 IS NULL AND DATETIME(vitalperiodic.observationtime) <= DATETIME(CURRENT_TIME(), '-364 day') ORDER BY vitalperiodic.sao2, vitalperiodic.observationtime DESC LIMIT 1 | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '031-24513' GROUP BY "patienthealthsystemstayid"), "_u_1" AS (SELECT "patient"."patientunitstayid" FROM "patient" LEFT JOIN "_u_0" AS "_u_0" ON "_u_0"."" = "patient"."patienthealthsystemstayid" WHERE NOT "_u_0"."" IS NULL GROUP BY "patientunitstayid") SELECT "vitalperiodic"."observationtime" FROM "vitalperiodic" LEFT JOIN "_u_1" AS "_u_1" ON "_u_1"."" = "vitalperiodic"."patientunitstayid" WHERE DATETIME("vitalperiodic"."observationtime") <= DATETIME(CURRENT_TIME(), '-364 day') AND NOT "_u_1"."" IS NULL AND NOT "vitalperiodic"."sao2" IS NULL ORDER BY "vitalperiodic"."sao2" NULLS FIRST, "vitalperiodic"."observationtime" DESC NULLS LAST LIMIT 1 | 0.737305 |
CREATE TABLE table_3135 ("Rank" FLOAT, "Team" TEXT, "Round1" FLOAT, "Round2" FLOAT, "Round3" FLOAT, "Round4" FLOAT, "Total points" FLOAT)
| How many points did the team who had 325 total points have in round 3? | SELECT "Round3" FROM table_3135 WHERE "Total points" = '325' | SELECT "Round3" FROM "table_3135" WHERE "Total points" = '325' | 0.060547 |
CREATE TABLE table_57135 ("Home team" TEXT, "Home team score" TEXT, "Away team" TEXT, "Away team score" TEXT, "Venue" TEXT, "Crowd" FLOAT, "Date" TEXT)
| What was the attendance when the VFL played MCG? | SELECT COUNT("Crowd") FROM table_57135 WHERE "Venue" = 'mcg' | SELECT COUNT("Crowd") FROM "table_57135" WHERE "Venue" = 'mcg' | 0.060547 |
CREATE TABLE table_10294071_1 (total_w_l VARCHAR, player VARCHAR)
| what's the total w l where player is boro jovanovi category:articles with hcards | SELECT total_w_l FROM table_10294071_1 WHERE player = "Boro Jovanović Category:Articles with hCards" | SELECT "total_w_l" FROM "table_10294071_1" WHERE "Boro Jovanović Category:Articles with hCards" = "player" | 0.103516 |
CREATE TABLE table_1341423_20 (candidates VARCHAR, incumbent VARCHAR)
| How many candidates ran in the election where Wayne Gilchrest was the incumbent? | SELECT COUNT(candidates) FROM table_1341423_20 WHERE incumbent = "Wayne Gilchrest" | SELECT COUNT("candidates") FROM "table_1341423_20" WHERE "Wayne Gilchrest" = "incumbent" | 0.085938 |
CREATE TABLE table_name_83 (type VARCHAR, course VARCHAR, date VARCHAR)
| What type has rest day as a course and was on 21 may? | SELECT type FROM table_name_83 WHERE course = "rest day" AND date = "21 may" | SELECT "type" FROM "table_name_83" WHERE "21 may" = "date" AND "course" = "rest day" | 0.082031 |
CREATE TABLE table_73206 ("Season" TEXT, "Series" TEXT, "Team" TEXT, "Races" FLOAT, "Wins" FLOAT, "Poles" FLOAT, "F/Laps" FLOAT, "Podiums" FLOAT, "Points" FLOAT, "Position" TEXT)
| How many points did he win in the race with more than 1.0 poles? | SELECT "Points" FROM table_73206 WHERE "Poles" > '1.0' | SELECT "Points" FROM "table_73206" WHERE "Poles" > '1.0' | 0.054688 |
CREATE TABLE table_35873 ("Team" TEXT, "Players" TEXT, "Placing" FLOAT, "Round Robin W-L" TEXT, "Matches W-L" TEXT, "Sets W-L" TEXT)
| What place did russia finish in? | SELECT COUNT("Placing") FROM table_35873 WHERE "Team" = 'russia' | SELECT COUNT("Placing") FROM "table_35873" WHERE "Team" = 'russia' | 0.064453 |
CREATE TABLE table_56100 ("Driver" TEXT, "Constructor" TEXT, "Laps" FLOAT, "Time/Retired" TEXT, "Grid" FLOAT)
| What is the time/retired for eddie irvine with a grid of greater than 3? | SELECT "Time/Retired" FROM table_56100 WHERE "Grid" > '3' AND "Driver" = 'eddie irvine' | SELECT "Time/Retired" FROM "table_56100" WHERE "Driver" = 'eddie irvine' AND "Grid" > '3' | 0.086914 |
CREATE TABLE Tryout (pID DECIMAL, cName VARCHAR, pPos VARCHAR, decision VARCHAR)
CREATE TABLE Player (pID DECIMAL, pName VARCHAR, yCard VARCHAR, HS DECIMAL)
CREATE TABLE College (cName VARCHAR, state VARCHAR, enr DECIMAL)
| Bar graph to show minimal enr from different cname | SELECT cName, MIN(enr) FROM College GROUP BY state | SELECT "cName", MIN("enr") FROM "College" GROUP BY "state" | 0.056641 |
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
| give me the number of patients whose admission type is elective and admission year is less than 2146? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.admission_type = "ELECTIVE" AND demographic.admityear < "2146" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "2146" > "demographic"."admityear" AND "ELECTIVE" = "demographic"."admission_type" | 0.15332 |
CREATE TABLE table_12036 ("Player" TEXT, "Height" TEXT, "School" TEXT, "Hometown" TEXT, "College" TEXT)
| What college picked someone from The Episcopal Academy? | SELECT "College" FROM table_12036 WHERE "School" = 'episcopal academy' | SELECT "College" FROM "table_12036" WHERE "School" = 'episcopal academy' | 0.070313 |
CREATE TABLE table_62342 ("Rank" TEXT, "Nation" TEXT, "Gold" FLOAT, "Silver" FLOAT, "Bronze" FLOAT, "Total" FLOAT)
| What is the average Silver, when Gold is less than 0? | SELECT AVG("Silver") FROM table_62342 WHERE "Gold" < '0' | SELECT AVG("Silver") FROM "table_62342" WHERE "Gold" < '0' | 0.056641 |
CREATE TABLE outputevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, value DECIMAL)
CREATE TABLE cost (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, event_type TEXT, event_id DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE diagnoses_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE procedures_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE patients (row_id DECIMAL, subject_id DECIMAL, gender TEXT, dob TIME, dod TIME)
CREATE TABLE prescriptions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, startdate TIME, enddate TIME, drug TEXT, dose_val_rx TEXT, dose_unit_rx TEXT, route TEXT)
CREATE TABLE inputevents_cv (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, amount DECIMAL)
CREATE TABLE d_items (row_id DECIMAL, itemid DECIMAL, label TEXT, linksto TEXT)
CREATE TABLE admissions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, admittime TIME, dischtime TIME, admission_type TEXT, admission_location TEXT, discharge_location TEXT, insurance TEXT, language TEXT, marital_status TEXT, ethnicity TEXT, age DECIMAL)
CREATE TABLE microbiologyevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, charttime TIME, spec_type_desc TEXT, org_name TEXT)
CREATE TABLE labevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE transfers (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, eventtype TEXT, careunit TEXT, wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE chartevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE d_labitems (row_id DECIMAL, itemid DECIMAL, label TEXT)
CREATE TABLE d_icd_procedures (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE icustays (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, first_careunit TEXT, last_careunit TEXT, first_wardid DECIMAL, last_wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE d_icd_diagnoses (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
| when was the first time, , that patient 433 was prescribed with a medication through nas route? | SELECT prescriptions.startdate FROM prescriptions WHERE prescriptions.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 433) AND prescriptions.route = 'nas' ORDER BY prescriptions.startdate LIMIT 1 | WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 433 GROUP BY "hadm_id") SELECT "prescriptions"."startdate" FROM "prescriptions" LEFT JOIN "_u_0" AS "_u_0" ON "_u_0"."" = "prescriptions"."hadm_id" WHERE "prescriptions"."route" = 'nas' AND NOT "_u_0"."" IS NULL ORDER BY "prescriptions"."startdate" NULLS FIRST LIMIT 1 | 0.357422 |
CREATE TABLE table_71878 ("Representative" TEXT, "Title" TEXT, "Presentation of Credentials" TEXT, "Termination of Mission" TEXT, "Appointed by" TEXT)
| What is the termination of mission date of the representative with a presentation of credentials date on July 4, 1898? | SELECT "Termination of Mission" FROM table_71878 WHERE "Presentation of Credentials" = 'july 4, 1898' | SELECT "Termination of Mission" FROM "table_71878" WHERE "Presentation of Credentials" = 'july 4, 1898' | 0.100586 |
CREATE TABLE table_name_40 (round INT, player VARCHAR)
| Which round was Joe Taylor selected in? | SELECT SUM(round) FROM table_name_40 WHERE player = "joe taylor" | SELECT SUM("round") FROM "table_name_40" WHERE "joe taylor" = "player" | 0.068359 |
CREATE TABLE table_6013 ("Type" TEXT, "wheelbase" TEXT, "M39 series" TEXT, "M809 series" TEXT, "M939 series" TEXT)
| Name the M809 series for short wheelbase and M939 series of M931/932 | SELECT "M809 series" FROM table_6013 WHERE "wheelbase" = 'short' AND "M939 series" = 'm931/932' | SELECT "M809 series" FROM "table_6013" WHERE "M939 series" = 'm931/932' AND "wheelbase" = 'short' | 0.094727 |
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
| count the number of patients whose primary disease is bowel obstruction and days of hospital stay is greater than 10? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.diagnosis = "BOWEL OBSTRUCTION" AND demographic.days_stay > "10" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "10" < "demographic"."days_stay" AND "BOWEL OBSTRUCTION" = "demographic"."diagnosis" | 0.155273 |
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
| provide the number of patients whose drug code is rosi8 and lab test fluid is urine? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE prescriptions.formulary_drug_cd = "ROSI8" AND lab.fluid = "Urine" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "lab" ON "Urine" = "lab"."fluid" AND "demographic"."hadm_id" = "lab"."hadm_id" JOIN "prescriptions" ON "ROSI8" = "prescriptions"."formulary_drug_cd" AND "demographic"."hadm_id" = "prescriptions"."hadm_id" | 0.271484 |
CREATE TABLE university (School_ID INT, School TEXT, Location TEXT, Founded FLOAT, Affiliation TEXT, Enrollment FLOAT, Nickname TEXT, Primary_conference TEXT)
CREATE TABLE basketball_match (Team_ID INT, School_ID INT, Team_Name TEXT, ACC_Regular_Season TEXT, ACC_Percent TEXT, ACC_Home TEXT, ACC_Road TEXT, All_Games TEXT, All_Games_Percent INT, All_Home TEXT, All_Road TEXT, All_Neutral TEXT)
| Give me the comparison about All_Games_Percent over the All_Neutral . | SELECT All_Neutral, All_Games_Percent FROM basketball_match | SELECT "All_Neutral", "All_Games_Percent" FROM "basketball_match" | 0.063477 |
CREATE TABLE table_202_281 (id DECIMAL, "date" TEXT, "time ( edt ) " DECIMAL, "team #1" TEXT, "res." TEXT, "team #2" TEXT, "round" TEXT, "spectators" DECIMAL)
| which team won the 1994 fifa world cup match with the highest attendance ? | SELECT "team #1" FROM table_202_281 ORDER BY "spectators" DESC LIMIT 1 | SELECT "team #1" FROM "table_202_281" ORDER BY "spectators" DESC NULLS LAST LIMIT 1 | 0.081055 |
CREATE TABLE admissions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, admittime TIME, dischtime TIME, admission_type TEXT, admission_location TEXT, discharge_location TEXT, insurance TEXT, language TEXT, marital_status TEXT, ethnicity TEXT, age DECIMAL)
CREATE TABLE icustays (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, first_careunit TEXT, last_careunit TEXT, first_wardid DECIMAL, last_wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE microbiologyevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, charttime TIME, spec_type_desc TEXT, org_name TEXT)
CREATE TABLE diagnoses_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE inputevents_cv (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, amount DECIMAL)
CREATE TABLE d_items (row_id DECIMAL, itemid DECIMAL, label TEXT, linksto TEXT)
CREATE TABLE d_icd_diagnoses (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE labevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE chartevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE d_labitems (row_id DECIMAL, itemid DECIMAL, label TEXT)
CREATE TABLE transfers (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, eventtype TEXT, careunit TEXT, wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE procedures_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE prescriptions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, startdate TIME, enddate TIME, drug TEXT, dose_val_rx TEXT, dose_unit_rx TEXT, route TEXT)
CREATE TABLE patients (row_id DECIMAL, subject_id DECIMAL, gender TEXT, dob TIME, dod TIME)
CREATE TABLE cost (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, event_type TEXT, event_id DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE d_icd_procedures (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE outputevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, value DECIMAL)
| is the arterial bp [diastolic] of patient 1462 last measured on the last intensive care unit visit greater than second to last measured on the last intensive care unit visit. | SELECT (SELECT chartevents.valuenum FROM chartevents WHERE chartevents.icustay_id IN (SELECT icustays.icustay_id FROM icustays WHERE icustays.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 1462) AND NOT icustays.outtime IS NULL ORDER BY icustays.intime DESC LIMIT 1) AND chartevents.itemid IN (SELECT d_items.itemid FROM d_items WHERE d_items.label = 'arterial bp [diastolic]' AND d_items.linksto = 'chartevents') ORDER BY chartevents.charttime DESC LIMIT 1) > (SELECT chartevents.valuenum FROM chartevents WHERE chartevents.icustay_id IN (SELECT icustays.icustay_id FROM icustays WHERE icustays.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 1462) AND NOT icustays.outtime IS NULL ORDER BY icustays.intime DESC LIMIT 1) AND chartevents.itemid IN (SELECT d_items.itemid FROM d_items WHERE d_items.label = 'arterial bp [diastolic]' AND d_items.linksto = 'chartevents') ORDER BY chartevents.charttime DESC LIMIT 1 OFFSET 1) | WITH "_u_2" AS (SELECT "d_items"."itemid" FROM "d_items" WHERE "d_items"."label" = 'arterial bp [diastolic]' AND "d_items"."linksto" = 'chartevents' GROUP BY "itemid"), "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 1462 GROUP BY "hadm_id") SELECT (SELECT "chartevents"."valuenum" FROM "chartevents" LEFT JOIN "_u_2" AS "_u_2" ON "_u_2"."" = "chartevents"."itemid" WHERE "chartevents"."icustay_id" IN (SELECT "icustays"."icustay_id" FROM "icustays" LEFT JOIN "_u_0" AS "_u_0" ON "_u_0"."" = "icustays"."hadm_id" WHERE NOT "_u_0"."" IS NULL AND NOT "icustays"."outtime" IS NULL ORDER BY "icustays"."intime" DESC NULLS LAST LIMIT 1) AND NOT "_u_2"."" IS NULL ORDER BY "chartevents"."charttime" DESC NULLS LAST LIMIT 1) > (SELECT "chartevents"."valuenum" FROM "chartevents" LEFT JOIN "_u_2" AS "_u_6" ON "_u_6"."" = "chartevents"."itemid" WHERE "chartevents"."icustay_id" IN (SELECT "icustays"."icustay_id" FROM "icustays" LEFT JOIN "_u_0" AS "_u_4" ON "_u_4"."" = "icustays"."hadm_id" WHERE NOT "_u_4"."" IS NULL AND NOT "icustays"."outtime" IS NULL ORDER BY "icustays"."intime" DESC NULLS LAST LIMIT 1) AND NOT "_u_6"."" IS NULL ORDER BY "chartevents"."charttime" DESC NULLS LAST LIMIT 1 OFFSET 1) | 1.212891 |
CREATE TABLE table_25810656_3 (title VARCHAR, no_in_series VARCHAR)
| Name the number of title for number in series being 25 | SELECT COUNT(title) FROM table_25810656_3 WHERE no_in_series = 25 | SELECT COUNT("title") FROM "table_25810656_3" WHERE "no_in_series" = 25 | 0.069336 |
CREATE TABLE Rating (rID INT, mID INT, stars INT, ratingDate DATE)
CREATE TABLE Movie (mID INT, title TEXT, year INT, director TEXT)
CREATE TABLE Reviewer (rID INT, name TEXT)
| Show the director and their lowest rating among all movies in a bar chart. | SELECT director, MIN(T1.stars) FROM Rating AS T1 JOIN Movie AS T2 ON T1.mID = T2.mID GROUP BY director | SELECT "director", MIN("T1"."stars") FROM "Rating" AS "T1" JOIN "Movie" AS "T2" ON "T1"."mID" = "T2"."mID" GROUP BY "director" | 0.123047 |
CREATE TABLE university (School_ID INT, School TEXT, Location TEXT, Founded FLOAT, Affiliation TEXT, Enrollment FLOAT, Nickname TEXT, Primary_conference TEXT)
CREATE TABLE basketball_match (Team_ID INT, School_ID INT, Team_Name TEXT, ACC_Regular_Season TEXT, ACC_Percent TEXT, ACC_Home TEXT, ACC_Road TEXT, All_Games TEXT, All_Games_Percent INT, All_Home TEXT, All_Road TEXT, All_Neutral TEXT)
| Give me the comparison about Team_ID over the All_Games by a bar chart, and list by the Team_ID in descending. | SELECT All_Games, Team_ID FROM basketball_match ORDER BY Team_ID DESC | SELECT "All_Games", "Team_ID" FROM "basketball_match" ORDER BY "Team_ID" DESC NULLS LAST | 0.085938 |
CREATE TABLE table_name_82 (place VARCHAR, player VARCHAR)
| Where is the player Davis Love III? | SELECT place FROM table_name_82 WHERE player = "davis love iii" | SELECT "place" FROM "table_name_82" WHERE "davis love iii" = "player" | 0.067383 |
CREATE TABLE intakeoutput (intakeoutputid DECIMAL, patientunitstayid DECIMAL, cellpath TEXT, celllabel TEXT, cellvaluenumeric DECIMAL, intakeoutputtime TIME)
CREATE TABLE lab (labid DECIMAL, patientunitstayid DECIMAL, labname TEXT, labresult DECIMAL, labresulttime TIME)
CREATE TABLE cost (costid DECIMAL, uniquepid TEXT, patienthealthsystemstayid DECIMAL, eventtype TEXT, eventid DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE vitalperiodic (vitalperiodicid DECIMAL, patientunitstayid DECIMAL, temperature DECIMAL, sao2 DECIMAL, heartrate DECIMAL, respiration DECIMAL, systemicsystolic DECIMAL, systemicdiastolic DECIMAL, systemicmean DECIMAL, observationtime TIME)
CREATE TABLE allergy (allergyid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, allergyname TEXT, allergytime TIME)
CREATE TABLE medication (medicationid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, dosage TEXT, routeadmin TEXT, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE treatment (treatmentid DECIMAL, patientunitstayid DECIMAL, treatmentname TEXT, treatmenttime TIME)
CREATE TABLE diagnosis (diagnosisid DECIMAL, patientunitstayid DECIMAL, diagnosisname TEXT, diagnosistime TIME, icd9code TEXT)
CREATE TABLE microlab (microlabid DECIMAL, patientunitstayid DECIMAL, culturesite TEXT, organism TEXT, culturetakentime TIME)
CREATE TABLE patient (uniquepid TEXT, patienthealthsystemstayid DECIMAL, patientunitstayid DECIMAL, gender TEXT, age TEXT, ethnicity TEXT, hospitalid DECIMAL, wardid DECIMAL, admissionheight DECIMAL, admissionweight DECIMAL, dischargeweight DECIMAL, hospitaladmittime TIME, hospitaladmitsource TEXT, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus TEXT)
| what was the name of the organism found in the microbiology test of the first other of patient 031-3355 on the current hospital visit? | SELECT microlab.organism FROM microlab WHERE microlab.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '031-3355' AND patient.hospitaldischargetime IS NULL)) AND microlab.culturesite = 'other' ORDER BY microlab.culturetakentime LIMIT 1 | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."hospitaldischargetime" IS NULL AND "patient"."uniquepid" = '031-3355' GROUP BY "patienthealthsystemstayid"), "_u_1" AS (SELECT "patient"."patientunitstayid" FROM "patient" LEFT JOIN "_u_0" AS "_u_0" ON "_u_0"."" = "patient"."patienthealthsystemstayid" WHERE NOT "_u_0"."" IS NULL GROUP BY "patientunitstayid") SELECT "microlab"."organism" FROM "microlab" LEFT JOIN "_u_1" AS "_u_1" ON "_u_1"."" = "microlab"."patientunitstayid" WHERE "microlab"."culturesite" = 'other' AND NOT "_u_1"."" IS NULL ORDER BY "microlab"."culturetakentime" NULLS FIRST LIMIT 1 | 0.630859 |
CREATE TABLE table_35391 ("Round" FLOAT, "Pick #" FLOAT, "Overall" FLOAT, "Name" TEXT, "Position" TEXT, "College" TEXT)
| What is the overall number for a pick of #10, from Louisiana Tech, and a round bigger than 3? | SELECT SUM("Overall") FROM table_35391 WHERE "Pick #" = '10' AND "College" = 'louisiana tech' AND "Round" > '3' | SELECT SUM("Overall") FROM "table_35391" WHERE "College" = 'louisiana tech' AND "Pick #" = '10' AND "Round" > '3' | 0.110352 |
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
| how many female patients are admitted under emergency room admit? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.gender = "F" AND demographic.admission_location = "EMERGENCY ROOM ADMIT" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "EMERGENCY ROOM ADMIT" = "demographic"."admission_location" AND "F" = "demographic"."gender" | 0.163086 |
CREATE TABLE table_name_40 (screening_started VARCHAR, screening_completed VARCHAR)
| Name the screening started when it was completed 3 may 2006 | SELECT screening_started FROM table_name_40 WHERE screening_completed = "3 may 2006" | SELECT "screening_started" FROM "table_name_40" WHERE "3 may 2006" = "screening_completed" | 0.087891 |
CREATE TABLE table_name_71 (receipts_per_arrival_2010__col_2___col_1____usd__ VARCHAR, selected_caribbean_and_n_latin_america_countries VARCHAR)
| What is the number of recepits per arrival in 2010 (col 2)/(col 1) USD with colombia (1) as the selected carribean and latin american country? | SELECT receipts_per_arrival_2010__col_2___col_1____usd__ FROM table_name_71 WHERE selected_caribbean_and_n_latin_america_countries = "colombia (1)" | SELECT "receipts_per_arrival_2010__col_2___col_1____usd__" FROM "table_name_71" WHERE "colombia (1)" = "selected_caribbean_and_n_latin_america_countries" | 0.149414 |
CREATE TABLE table_13247 ("National team" TEXT, "Club" TEXT, "Year" TEXT, "Apps" FLOAT, "Goals" FLOAT)
| Which Goals have Apps smaller than 1? | SELECT AVG("Goals") FROM table_13247 WHERE "Apps" < '1' | SELECT AVG("Goals") FROM "table_13247" WHERE "Apps" < '1' | 0.055664 |
CREATE TABLE table_204_988 (id DECIMAL, "responsible minister ( s ) " TEXT, "crown entities" TEXT, "monitoring department ( s ) " TEXT, "category / type" TEXT, "empowering legislation" TEXT)
| which monitoring department is listed the most ? | SELECT "monitoring department(s)" FROM table_204_988 GROUP BY "monitoring department(s)" ORDER BY COUNT(*) DESC LIMIT 1 | SELECT "monitoring department(s)" FROM "table_204_988" GROUP BY "monitoring department(s)" ORDER BY COUNT(*) DESC NULLS LAST LIMIT 1 | 0.128906 |
CREATE TABLE table_62383 ("Week" FLOAT, "Date" TEXT, "Opponent" TEXT, "Result" TEXT, "Attendance" FLOAT)
| What was the attendance on September 11, 1988? | SELECT AVG("Attendance") FROM table_62383 WHERE "Date" = 'september 11, 1988' | SELECT AVG("Attendance") FROM "table_62383" WHERE "Date" = 'september 11, 1988' | 0.077148 |
CREATE TABLE table_68629 ("Nation" TEXT, "Gold" FLOAT, "Silver" FLOAT, "Bronze" FLOAT, "Total" FLOAT)
| Name the least silver when gold is less than 0 | SELECT MIN("Silver") FROM table_68629 WHERE "Gold" < '0' | SELECT MIN("Silver") FROM "table_68629" WHERE "Gold" < '0' | 0.056641 |
CREATE TABLE d_icd_diagnoses (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE inputevents_cv (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, amount DECIMAL)
CREATE TABLE cost (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, event_type TEXT, event_id DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE d_items (row_id DECIMAL, itemid DECIMAL, label TEXT, linksto TEXT)
CREATE TABLE transfers (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, eventtype TEXT, careunit TEXT, wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE chartevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE microbiologyevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, charttime TIME, spec_type_desc TEXT, org_name TEXT)
CREATE TABLE d_icd_procedures (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE labevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE d_labitems (row_id DECIMAL, itemid DECIMAL, label TEXT)
CREATE TABLE prescriptions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, startdate TIME, enddate TIME, drug TEXT, dose_val_rx TEXT, dose_unit_rx TEXT, route TEXT)
CREATE TABLE icustays (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, first_careunit TEXT, last_careunit TEXT, first_wardid DECIMAL, last_wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE admissions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, admittime TIME, dischtime TIME, admission_type TEXT, admission_location TEXT, discharge_location TEXT, insurance TEXT, language TEXT, marital_status TEXT, ethnicity TEXT, age DECIMAL)
CREATE TABLE procedures_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE diagnoses_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE patients (row_id DECIMAL, subject_id DECIMAL, gender TEXT, dob TIME, dod TIME)
CREATE TABLE outputevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, value DECIMAL)
| what was the name of the output which patient 10855 had for the first time on this month/25? | SELECT d_items.label FROM d_items WHERE d_items.itemid IN (SELECT outputevents.itemid FROM outputevents WHERE outputevents.icustay_id IN (SELECT icustays.icustay_id FROM icustays WHERE icustays.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 10855)) AND DATETIME(outputevents.charttime, 'start of month') = DATETIME(CURRENT_TIME(), 'start of month', '-0 month') AND STRFTIME('%d', outputevents.charttime) = '25' ORDER BY outputevents.charttime LIMIT 1) | WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 10855 GROUP BY "hadm_id"), "_u_1" AS (SELECT "icustays"."icustay_id" FROM "icustays" LEFT JOIN "_u_0" AS "_u_0" ON "_u_0"."" = "icustays"."hadm_id" WHERE NOT "_u_0"."" IS NULL GROUP BY "icustay_id") SELECT "d_items"."label" FROM "d_items" WHERE "d_items"."itemid" IN (SELECT "outputevents"."itemid" FROM "outputevents" LEFT JOIN "_u_1" AS "_u_1" ON "_u_1"."" = "outputevents"."icustay_id" WHERE DATETIME("outputevents"."charttime", 'start of month') = DATETIME(CURRENT_TIME(), 'start of month', '-0 month') AND NOT "_u_1"."" IS NULL AND STRFTIME('%d', "outputevents"."charttime") = '25' ORDER BY "outputevents"."charttime" NULLS FIRST LIMIT 1) | 0.723633 |
CREATE TABLE table_56377 ("Date" TEXT, "Visitor" TEXT, "Score" TEXT, "Home" TEXT, "Decision" TEXT, "Attendance" FLOAT, "Record" TEXT)
| What is the record when the visitor was Nashville? | SELECT "Record" FROM table_56377 WHERE "Visitor" = 'nashville' | SELECT "Record" FROM "table_56377" WHERE "Visitor" = 'nashville' | 0.0625 |
CREATE TABLE table_16576 ("Club" TEXT, "Position in 2012\\u201313" TEXT, "First season in top division" TEXT, "Number of seasons in top division" FLOAT, "Number of seasons in the Premier League" FLOAT, "First season of current spell in top division" TEXT, "Top division titles" FLOAT, "Last top division title" TEXT)
| What is the least number of seasons in top division? | SELECT MIN("Number of seasons in top division") FROM table_16576 | SELECT MIN("Number of seasons in top division") FROM "table_16576" | 0.064453 |
CREATE TABLE Manufacturers (Code INT, Name VARCHAR, Headquarter VARCHAR, Founder VARCHAR, Revenue FLOAT)
CREATE TABLE Products (Code INT, Name VARCHAR, Price DECIMAL, Manufacturer INT)
| For those records from the products and each product's manufacturer, draw a bar chart about the distribution of name and the sum of manufacturer , and group by attribute name, list by the bars in descending. | SELECT T2.Name, T1.Manufacturer FROM Products AS T1 JOIN Manufacturers AS T2 ON T1.Manufacturer = T2.Code GROUP BY T2.Name ORDER BY T2.Name DESC | SELECT "T2"."Name", "T1"."Manufacturer" FROM "Products" AS "T1" JOIN "Manufacturers" AS "T2" ON "T1"."Manufacturer" = "T2"."Code" GROUP BY "T2"."Name" ORDER BY "T2"."Name" DESC NULLS LAST | 0.182617 |
CREATE TABLE SuggestedEditVotes (Id DECIMAL, SuggestedEditId DECIMAL, UserId DECIMAL, VoteTypeId DECIMAL, CreationDate TIME, TargetUserId DECIMAL, TargetRepChange DECIMAL)
CREATE TABLE Comments (Id DECIMAL, PostId DECIMAL, Score DECIMAL, Text TEXT, CreationDate TIME, UserDisplayName TEXT, UserId DECIMAL, ContentLicense TEXT)
CREATE TABLE PostTags (PostId DECIMAL, TagId DECIMAL)
CREATE TABLE ReviewTaskResults (Id DECIMAL, ReviewTaskId DECIMAL, ReviewTaskResultTypeId DECIMAL, CreationDate TIME, RejectionReasonId DECIMAL, Comment TEXT)
CREATE TABLE PostHistoryTypes (Id DECIMAL, Name TEXT)
CREATE TABLE FlagTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE ReviewRejectionReasons (Id DECIMAL, Name TEXT, Description TEXT, PostTypeId DECIMAL)
CREATE TABLE PostNoticeTypes (Id DECIMAL, ClassId DECIMAL, Name TEXT, Body TEXT, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId DECIMAL)
CREATE TABLE SuggestedEdits (Id DECIMAL, PostId DECIMAL, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId DECIMAL, Comment TEXT, Text TEXT, Title TEXT, Tags TEXT, RevisionGUID other)
CREATE TABLE Users (Id DECIMAL, Reputation DECIMAL, CreationDate TIME, DisplayName TEXT, LastAccessDate TIME, WebsiteUrl TEXT, Location TEXT, AboutMe TEXT, Views DECIMAL, UpVotes DECIMAL, DownVotes DECIMAL, ProfileImageUrl TEXT, EmailHash TEXT, AccountId DECIMAL)
CREATE TABLE ReviewTaskStates (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE CloseReasonTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE TagSynonyms (Id DECIMAL, SourceTagName TEXT, TargetTagName TEXT, CreationDate TIME, OwnerUserId DECIMAL, AutoRenameCount DECIMAL, LastAutoRename TIME, Score DECIMAL, ApprovedByUserId DECIMAL, ApprovalDate TIME)
CREATE TABLE ReviewTaskResultTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE PostFeedback (Id DECIMAL, PostId DECIMAL, IsAnonymous BOOLEAN, VoteTypeId DECIMAL, CreationDate TIME)
CREATE TABLE CloseAsOffTopicReasonTypes (Id DECIMAL, IsUniversal BOOLEAN, InputTitle TEXT, MarkdownInputGuidance TEXT, MarkdownPostOwnerGuidance TEXT, MarkdownPrivilegedUserGuidance TEXT, MarkdownConcensusDescription TEXT, CreationDate TIME, CreationModeratorId DECIMAL, ApprovalDate TIME, ApprovalModeratorId DECIMAL, DeactivationDate TIME, DeactivationModeratorId DECIMAL)
CREATE TABLE VoteTypes (Id DECIMAL, Name TEXT)
CREATE TABLE ReviewTaskTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE Votes (Id DECIMAL, PostId DECIMAL, VoteTypeId DECIMAL, UserId DECIMAL, CreationDate TIME, BountyAmount DECIMAL)
CREATE TABLE PostsWithDeleted (Id DECIMAL, PostTypeId DECIMAL, AcceptedAnswerId DECIMAL, ParentId DECIMAL, CreationDate TIME, DeletionDate TIME, Score DECIMAL, ViewCount DECIMAL, Body TEXT, OwnerUserId DECIMAL, OwnerDisplayName TEXT, LastEditorUserId DECIMAL, LastEditorDisplayName TEXT, LastEditDate TIME, LastActivityDate TIME, Title TEXT, Tags TEXT, AnswerCount DECIMAL, CommentCount DECIMAL, FavoriteCount DECIMAL, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense TEXT)
CREATE TABLE Badges (Id DECIMAL, UserId DECIMAL, Name TEXT, Date TIME, Class DECIMAL, TagBased BOOLEAN)
CREATE TABLE Posts (Id DECIMAL, PostTypeId DECIMAL, AcceptedAnswerId DECIMAL, ParentId DECIMAL, CreationDate TIME, DeletionDate TIME, Score DECIMAL, ViewCount DECIMAL, Body TEXT, OwnerUserId DECIMAL, OwnerDisplayName TEXT, LastEditorUserId DECIMAL, LastEditorDisplayName TEXT, LastEditDate TIME, LastActivityDate TIME, Title TEXT, Tags TEXT, AnswerCount DECIMAL, CommentCount DECIMAL, FavoriteCount DECIMAL, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense TEXT)
CREATE TABLE PostNotices (Id DECIMAL, PostId DECIMAL, PostNoticeTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body TEXT, OwnerUserId DECIMAL, DeletionUserId DECIMAL)
CREATE TABLE PostHistory (Id DECIMAL, PostHistoryTypeId DECIMAL, PostId DECIMAL, RevisionGUID other, CreationDate TIME, UserId DECIMAL, UserDisplayName TEXT, Comment TEXT, Text TEXT, ContentLicense TEXT)
CREATE TABLE PostLinks (Id DECIMAL, CreationDate TIME, PostId DECIMAL, RelatedPostId DECIMAL, LinkTypeId DECIMAL)
CREATE TABLE ReviewTasks (Id DECIMAL, ReviewTaskTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId DECIMAL, PostId DECIMAL, SuggestedEditId DECIMAL, CompletedByReviewTaskId DECIMAL)
CREATE TABLE PostTypes (Id DECIMAL, Name TEXT)
CREATE TABLE PendingFlags (Id DECIMAL, FlagTypeId DECIMAL, PostId DECIMAL, CreationDate TIME, CloseReasonTypeId DECIMAL, CloseAsOffTopicReasonTypeId DECIMAL, DuplicateOfQuestionId DECIMAL, BelongsOnBaseHostAddress TEXT)
CREATE TABLE Tags (Id DECIMAL, TagName TEXT, Count DECIMAL, ExcerptPostId DECIMAL, WikiPostId DECIMAL)
| SELECT * FROM TAGS ORDER BY Count. | SELECT * FROM Tags ORDER BY Count DESC | SELECT * FROM "Tags" ORDER BY "Count" DESC NULLS LAST | 0.051758 |
CREATE TABLE patient (uniquepid TEXT, patienthealthsystemstayid DECIMAL, patientunitstayid DECIMAL, gender TEXT, age TEXT, ethnicity TEXT, hospitalid DECIMAL, wardid DECIMAL, admissionheight DECIMAL, admissionweight DECIMAL, dischargeweight DECIMAL, hospitaladmittime TIME, hospitaladmitsource TEXT, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus TEXT)
CREATE TABLE microlab (microlabid DECIMAL, patientunitstayid DECIMAL, culturesite TEXT, organism TEXT, culturetakentime TIME)
CREATE TABLE allergy (allergyid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, allergyname TEXT, allergytime TIME)
CREATE TABLE vitalperiodic (vitalperiodicid DECIMAL, patientunitstayid DECIMAL, temperature DECIMAL, sao2 DECIMAL, heartrate DECIMAL, respiration DECIMAL, systemicsystolic DECIMAL, systemicdiastolic DECIMAL, systemicmean DECIMAL, observationtime TIME)
CREATE TABLE intakeoutput (intakeoutputid DECIMAL, patientunitstayid DECIMAL, cellpath TEXT, celllabel TEXT, cellvaluenumeric DECIMAL, intakeoutputtime TIME)
CREATE TABLE diagnosis (diagnosisid DECIMAL, patientunitstayid DECIMAL, diagnosisname TEXT, diagnosistime TIME, icd9code TEXT)
CREATE TABLE lab (labid DECIMAL, patientunitstayid DECIMAL, labname TEXT, labresult DECIMAL, labresulttime TIME)
CREATE TABLE treatment (treatmentid DECIMAL, patientunitstayid DECIMAL, treatmentname TEXT, treatmenttime TIME)
CREATE TABLE cost (costid DECIMAL, uniquepid TEXT, patienthealthsystemstayid DECIMAL, eventtype TEXT, eventid DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE medication (medicationid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, dosage TEXT, routeadmin TEXT, drugstarttime TIME, drugstoptime TIME)
| give me the los of patient 027-22704's last intensive care unit stay. | SELECT STRFTIME('%j', patient.unitdischargetime) - STRFTIME('%j', patient.unitadmittime) FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '027-22704') AND NOT patient.unitadmittime IS NULL ORDER BY patient.unitadmittime DESC LIMIT 1 | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '027-22704' GROUP BY "patienthealthsystemstayid") SELECT STRFTIME('%j', "patient"."unitdischargetime") - STRFTIME('%j', "patient"."unitadmittime") FROM "patient" LEFT JOIN "_u_0" AS "_u_0" ON "_u_0"."" = "patient"."patienthealthsystemstayid" WHERE NOT "_u_0"."" IS NULL AND NOT "patient"."unitadmittime" IS NULL ORDER BY "patient"."unitadmittime" DESC NULLS LAST LIMIT 1 | 0.464844 |
CREATE TABLE tweets (uid VARCHAR)
CREATE TABLE user_profiles (name VARCHAR, uid VARCHAR)
| Find the name of the user who tweeted more than once, and number of tweets tweeted by them. | SELECT T1.name, COUNT(*) FROM user_profiles AS T1 JOIN tweets AS T2 ON T1.uid = T2.uid GROUP BY T2.uid HAVING COUNT(*) > 1 | SELECT "T1"."name", COUNT(*) FROM "user_profiles" AS "T1" JOIN "tweets" AS "T2" ON "T1"."uid" = "T2"."uid" GROUP BY "T2"."uid" HAVING COUNT(*) > 1 | 0.142578 |
CREATE TABLE table_name_75 (silver INT, gold VARCHAR, bronze VARCHAR, rank VARCHAR)
| What is the smallest Silver value associated with teams having more than 0 gold, 0 bronze, and a rank of 14? | SELECT MIN(silver) FROM table_name_75 WHERE bronze = 0 AND rank = 14 AND gold > 0 | SELECT MIN("silver") FROM "table_name_75" WHERE "bronze" = 0 AND "gold" > 0 AND "rank" = 14 | 0.088867 |
CREATE TABLE table_25484 ("Game" FLOAT, "Date" TEXT, "Team" TEXT, "Score" TEXT, "High points" TEXT, "High rebounds" TEXT, "High assists" TEXT, "Location Attendance" TEXT, "Record" TEXT)
| What date was the record 11-67? | SELECT "Date" FROM table_25484 WHERE "Record" = '11-67' | SELECT "Date" FROM "table_25484" WHERE "Record" = '11-67' | 0.055664 |
CREATE TABLE inputevents_cv (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, amount DECIMAL)
CREATE TABLE cost (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, event_type TEXT, event_id DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE patients (row_id DECIMAL, subject_id DECIMAL, gender TEXT, dob TIME, dod TIME)
CREATE TABLE transfers (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, eventtype TEXT, careunit TEXT, wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE chartevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE microbiologyevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, charttime TIME, spec_type_desc TEXT, org_name TEXT)
CREATE TABLE outputevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, value DECIMAL)
CREATE TABLE labevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE prescriptions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, startdate TIME, enddate TIME, drug TEXT, dose_val_rx TEXT, dose_unit_rx TEXT, route TEXT)
CREATE TABLE icustays (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, first_careunit TEXT, last_careunit TEXT, first_wardid DECIMAL, last_wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE d_items (row_id DECIMAL, itemid DECIMAL, label TEXT, linksto TEXT)
CREATE TABLE d_icd_procedures (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE admissions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, admittime TIME, dischtime TIME, admission_type TEXT, admission_location TEXT, discharge_location TEXT, insurance TEXT, language TEXT, marital_status TEXT, ethnicity TEXT, age DECIMAL)
CREATE TABLE procedures_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE d_labitems (row_id DECIMAL, itemid DECIMAL, label TEXT)
CREATE TABLE d_icd_diagnoses (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE diagnoses_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
| how many times until 4 years ago does patient 32592 receive inject/infuse nec? | SELECT COUNT(*) FROM procedures_icd WHERE procedures_icd.icd9_code = (SELECT d_icd_procedures.icd9_code FROM d_icd_procedures WHERE d_icd_procedures.short_title = 'inject/infuse nec') AND procedures_icd.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 32592) AND DATETIME(procedures_icd.charttime) <= DATETIME(CURRENT_TIME(), '-4 year') | WITH "_u_1" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 32592 GROUP BY "hadm_id") SELECT COUNT(*) FROM "procedures_icd" JOIN "d_icd_procedures" ON "d_icd_procedures"."icd9_code" = "procedures_icd"."icd9_code" AND "d_icd_procedures"."short_title" = 'inject/infuse nec' LEFT JOIN "_u_1" AS "_u_1" ON "_u_1"."" = "procedures_icd"."hadm_id" WHERE DATETIME("procedures_icd"."charttime") <= DATETIME(CURRENT_TIME(), '-4 year') AND NOT "_u_1"."" IS NULL | 0.476563 |
CREATE TABLE table_204_262 (id DECIMAL, "rank" DECIMAL, "athlete" TEXT, "time" TEXT, "notes" TEXT, "q" TEXT)
| what was the time of the person who finished first ? | SELECT "time" FROM table_204_262 WHERE "rank" = 1 | SELECT "time" FROM "table_204_262" WHERE "rank" = 1 | 0.049805 |
CREATE TABLE table_name_32 (opponent VARCHAR, date VARCHAR)
| Who was the opponent that played on may 12? | SELECT opponent FROM table_name_32 WHERE date = "may 12" | SELECT "opponent" FROM "table_name_32" WHERE "date" = "may 12" | 0.060547 |
CREATE TABLE Products (Code INT, Name VARCHAR, Price DECIMAL, Manufacturer INT)
CREATE TABLE Manufacturers (Code INT, Name VARCHAR, Headquarter VARCHAR, Founder VARCHAR, Revenue FLOAT)
| For those records from the products and each product's manufacturer, show me about the distribution of name and the average of revenue , and group by attribute name in a bar chart, and could you show x axis in ascending order? | SELECT T1.Name, T2.Revenue FROM Products AS T1 JOIN Manufacturers AS T2 ON T1.Manufacturer = T2.Code GROUP BY T1.Name ORDER BY T1.Name | SELECT "T1"."Name", "T2"."Revenue" FROM "Products" AS "T1" JOIN "Manufacturers" AS "T2" ON "T1"."Manufacturer" = "T2"."Code" GROUP BY "T1"."Name" ORDER BY "T1"."Name" NULLS FIRST | 0.173828 |
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
| what is average age of patients whose gender is m and admission type is urgent? | SELECT AVG(demographic.age) FROM demographic WHERE demographic.gender = "M" AND demographic.admission_type = "URGENT" | SELECT AVG("demographic"."age") FROM "demographic" WHERE "M" = "demographic"."gender" AND "URGENT" = "demographic"."admission_type" | 0.12793 |
CREATE TABLE table_48737 ("Game" FLOAT, "Date" TEXT, "Team" TEXT, "Score" TEXT, "High points" TEXT, "High rebounds" TEXT, "High assists" TEXT, "Location Attendance" TEXT, "Record" TEXT)
| Which Team has a Location Attendance of fedexforum 11,731? | SELECT "Team" FROM table_48737 WHERE "Location Attendance" = 'fedexforum 11,731' | SELECT "Team" FROM "table_48737" WHERE "Location Attendance" = 'fedexforum 11,731' | 0.080078 |
CREATE TABLE table_4379 ("Model" TEXT, "Build year" TEXT, "Top speed ( In operation ) \\uff08km/h\\uff09" FLOAT, "Power output \\uff08kW\\uff09" TEXT, "Builder" TEXT, "Total production" FLOAT)
| Tell me the model for total production of 1347 | SELECT "Model" FROM table_4379 WHERE "Total production" = '1347' | SELECT "Model" FROM "table_4379" WHERE "Total production" = '1347' | 0.064453 |
CREATE TABLE table_name_16 (year INT, project VARCHAR)
| What is the average Year for the project The Untouchables? | SELECT AVG(year) FROM table_name_16 WHERE project = "the untouchables" | SELECT AVG("year") FROM "table_name_16" WHERE "project" = "the untouchables" | 0.074219 |
CREATE TABLE table_44119 ("Rank" FLOAT, "Title" TEXT, "Studio" TEXT, "Director" TEXT, "Gross" TEXT)
| What is the rank of the film directed by Kevin Costner? | SELECT COUNT("Rank") FROM table_44119 WHERE "Director" = 'kevin costner' | SELECT COUNT("Rank") FROM "table_44119" WHERE "Director" = 'kevin costner' | 0.072266 |
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