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CREATE TABLE table_71968 ("Call sign" CLOB, "Frequency" CLOB, "City of license" CLOB, "Facility ID" FLOAT, "ERP / Power W" FLOAT, "Height m ( ft ) " CLOB, "Class" CLOB)
| Name the class with call sign of wmhn | SELECT "Class" FROM table_71968 WHERE "Call sign" = 'wmhn' | SELECT "Class" FROM "table_71968" WHERE "Call sign" = 'wmhn' | 0.058594 |
CREATE TABLE table_name_72 (lost NUMBER, points VARCHAR2, place VARCHAR2, goals_scored VARCHAR2)
| what is the least lost when the place is higher than 4, goals scored is 12 and points is more than 4? | SELECT MIN(lost) FROM table_name_72 WHERE place > 4 AND goals_scored = 12 AND points > 4 | SELECT MIN("lost") FROM "table_name_72" WHERE "goals_scored" = 12 AND "place" > 4 AND "points" > 4 | 0.095703 |
CREATE TABLE table_51876 ("D 41" CLOB, "D 42" CLOB, "D 43" CLOB, "D 44" CLOB, "D 45" CLOB, "D 46" CLOB, "R 54" CLOB, "R 53" CLOB, "R 52" CLOB, "R 51" CLOB)
| Name the D 41 which has a D 46 of r 6 | SELECT "D 41" FROM table_51876 WHERE "D 46" = 'r 6' | SELECT "D 41" FROM "table_51876" WHERE "D 46" = 'r 6' | 0.051758 |
CREATE TABLE table_21224 ("Province" CLOB, "Skip" CLOB, "W" FLOAT, "L" FLOAT, "PF" FLOAT, "PA" FLOAT, "Ends Won" FLOAT, "Ends Lost" FLOAT, "Blank Ends" FLOAT, "Stolen Ends" FLOAT, "Shot Pct." FLOAT)
| What is the top Points Allowed? | SELECT MAX("PA") FROM table_21224 | SELECT MAX("PA") FROM "table_21224" | 0.03418 |
CREATE TABLE table_name_12 (reg_season VARCHAR2, year VARCHAR2)
| What was the Rampage's regular season in 1997? | SELECT reg_season FROM table_name_12 WHERE year = 1997 | SELECT "reg_season" FROM "table_name_12" WHERE "year" = 1997 | 0.058594 |
CREATE TABLE table_204_228 (id NUMBER, "year" NUMBER, "title" CLOB, "credit" CLOB, "role" CLOB, "notes" CLOB)
| what is the difference in years between cry wolf and four christmases ? | SELECT ABS((SELECT "year" FROM table_204_228 WHERE "title" = 'cry_wolf') - (SELECT "year" FROM table_204_228 WHERE "title" = 'four christmases')) | SELECT ABS((SELECT "year" FROM "table_204_228" WHERE "title" = 'cry_wolf') - (SELECT "year" FROM "table_204_228" WHERE "title" = 'four christmases')) | 0.145508 |
CREATE TABLE party (Party_ID NUMBER, Year FLOAT, Party CLOB, Governor CLOB, Lieutenant_Governor CLOB, Comptroller CLOB, Attorney_General CLOB, US_Senate CLOB)
CREATE TABLE county (County_Id NUMBER, County_name CLOB, Population FLOAT, Zip_code CLOB)
CREATE TABLE election (Election_ID NUMBER, Counties_Represented CLOB, District NUMBER, Delegate CLOB, Party NUMBER, First_Elected FLOAT, Committee CLOB)
| Use a bar chart to show the number of delegates in each county, and order from low to high by the total number. | SELECT County_name, COUNT(County_name) FROM county AS T1 JOIN election AS T2 ON T1.County_Id = T2.District GROUP BY County_name ORDER BY COUNT(County_name) | SELECT "County_name", COUNT("County_name") FROM "county" "T1" JOIN "election" "T2" ON "T1"."County_Id" = "T2"."District" GROUP BY "County_name" ORDER BY COUNT("County_name") | 0.168945 |
CREATE TABLE exhibition (Exhibition_ID NUMBER, Year NUMBER, Theme CLOB, Artist_ID NUMBER, Ticket_Price FLOAT)
CREATE TABLE artist (Artist_ID NUMBER, Name CLOB, Country CLOB, Year_Join NUMBER, Age NUMBER)
CREATE TABLE exhibition_record (Exhibition_ID NUMBER, Date CLOB, Attendance NUMBER)
| Bin the Year into weekday interval, then group and count by Year, display Y-axis in desc order. | SELECT Year, COUNT(Year) FROM exhibition ORDER BY COUNT(Year) DESC | SELECT "Year", COUNT("Year") FROM "exhibition" ORDER BY COUNT("Year") DESC | 0.072266 |
CREATE TABLE table_name_9 (year VARCHAR2, score VARCHAR2)
| What year saw a score of 8-5? | SELECT year FROM table_name_9 WHERE score = "8-5" | SELECT "year" FROM "table_name_9" WHERE "8-5" = "score" | 0.053711 |
CREATE TABLE table_384 ("District" FLOAT, "County ( s ) Represented" CLOB, "Member Senator" CLOB, "Party" CLOB, "First Elected" FLOAT, "Committee" CLOB)
| How many entries are shown for first elected for district 41? | SELECT COUNT("First Elected") FROM table_384 WHERE "District" = '41' | SELECT COUNT("First Elected") FROM "table_384" WHERE "District" = '41' | 0.068359 |
CREATE TABLE table_50866 ("Tournament" CLOB, "Surface" CLOB, "Week" CLOB, "Winner" CLOB, "Finalist" CLOB, "Semifinalists" CLOB)
| WHich Tournament has a Finalist of marat safin (12)? | SELECT "Tournament" FROM table_50866 WHERE "Finalist" = 'marat safin (12)' | SELECT "Tournament" FROM "table_50866" WHERE "Finalist" = 'marat safin (12)' | 0.074219 |
CREATE TABLE table_1167698_1 (champion VARCHAR2, season VARCHAR2)
| How many champions were there in 2009? | SELECT COUNT(champion) FROM table_1167698_1 WHERE season = "2009" | SELECT COUNT("champion") FROM "table_1167698_1" WHERE "2009" = "season" | 0.069336 |
CREATE TABLE table_204_174 (id NUMBER, "rank" NUMBER, "name" CLOB, "nationality" CLOB, "result" NUMBER, "notes" CLOB)
| how many nationalities are there after rank 5 ? | SELECT COUNT(DISTINCT "nationality") FROM table_204_174 WHERE "rank" > 5 | SELECT COUNT(DISTINCT "nationality") FROM "table_204_174" WHERE "rank" > 5 | 0.072266 |
CREATE TABLE table_17170 ("Player" CLOB, "No. ( s ) " CLOB, "Height in Ft." CLOB, "Position" CLOB, "Years for Rockets" CLOB, "School/Club Team/Country" CLOB)
| What years for the rockets did player ford, alton alton ford play? | SELECT "Years for Rockets" FROM table_17170 WHERE "Player" = 'Ford, Alton Alton Ford' | SELECT "Years for Rockets" FROM "table_17170" WHERE "Player" = 'Ford, Alton Alton Ford' | 0.084961 |
CREATE TABLE basketball_match (Team_ID NUMBER, School_ID NUMBER, Team_Name CLOB, ACC_Regular_Season CLOB, ACC_Percent CLOB, ACC_Home CLOB, ACC_Road CLOB, All_Games CLOB, All_Games_Percent NUMBER, All_Home CLOB, All_Road CLOB, All_Neutral CLOB)
CREATE TABLE university (School_ID NUMBER, School CLOB, Location CLOB, Founded FLOAT, Affiliation CLOB, Enrollment FLOAT, Nickname CLOB, Primary_conference CLOB)
| Return a bar chart about the distribution of All_Road and All_Games_Percent , order from low to high by the total number. | SELECT All_Road, All_Games_Percent FROM basketball_match ORDER BY All_Games_Percent | SELECT "All_Road", "All_Games_Percent" FROM "basketball_match" ORDER BY "All_Games_Percent" | 0.088867 |
CREATE TABLE county_public_safety (Crime_rate NUMBER)
| What are the minimum and maximum crime rate of counties? | SELECT MIN(Crime_rate), MAX(Crime_rate) FROM county_public_safety | SELECT MIN("Crime_rate"), MAX("Crime_rate") FROM "county_public_safety" | 0.069336 |
CREATE TABLE table_name_94 (task_no NUMBER, date_given VARCHAR2)
| What is the task number on January 22, 2010 (day 111)? | SELECT MAX(task_no) FROM table_name_94 WHERE date_given = "january 22, 2010 (day 111)" | SELECT MAX("task_no") FROM "table_name_94" WHERE "date_given" = "january 22, 2010 (day 111)" | 0.089844 |
CREATE TABLE table_name_33 (branding VARCHAR2, call_sign VARCHAR2)
| what is the branding when the call sign is ckua-fm-3? | SELECT branding FROM table_name_33 WHERE call_sign = "ckua-fm-3" | SELECT "branding" FROM "table_name_33" WHERE "call_sign" = "ckua-fm-3" | 0.068359 |
CREATE TABLE table_name_82 (entrant VARCHAR2, year VARCHAR2, points VARCHAR2)
| What Entrant older than 1950 has points smaller than 7? | SELECT entrant FROM table_name_82 WHERE year > 1950 AND points < 7 | SELECT "entrant" FROM "table_name_82" WHERE "points" < 7 AND "year" > 1950 | 0.072266 |
CREATE TABLE table_21648 ("Game" FLOAT, "Date" CLOB, "Opponent" CLOB, "Score" CLOB, "Location" CLOB, "Attendance" FLOAT, "Record" CLOB, "Points" FLOAT)
| How many points were scored when the record was 6-8-6? | SELECT COUNT("Points") FROM table_21648 WHERE "Record" = '6-8-6' | SELECT COUNT("Points") FROM "table_21648" WHERE "Record" = '6-8-6' | 0.064453 |
CREATE TABLE table_2818164_5 (no_in_season VARCHAR2, original_air_date VARCHAR2)
| What episoe number in the season originally aired on February 11, 1988? | SELECT no_in_season FROM table_2818164_5 WHERE original_air_date = "February 11, 1988" | SELECT "no_in_season" FROM "table_2818164_5" WHERE "February 11, 1988" = "original_air_date" | 0.089844 |
CREATE TABLE table_58995 ("Place" CLOB, "Player" CLOB, "Country" CLOB, "Score" CLOB, "To par" FLOAT, "Money ( \\u00a3 ) " CLOB)
| Who is from south africa and has a score of 76-75-73-71=295? | SELECT "Player" FROM table_58995 WHERE "Country" = 'south africa' AND "Score" = '76-75-73-71=295' | SELECT "Player" FROM "table_58995" WHERE "Country" = 'south africa' AND "Score" = '76-75-73-71=295' | 0.09668 |
CREATE TABLE table_34804 ("Date" CLOB, "Tournament" CLOB, "Winning score" CLOB, "Margin of victory" CLOB, "Runner-up" CLOB)
| Which Runner-up has a Winning score of 20 (70-69-64-65=268)? | SELECT "Runner-up" FROM table_34804 WHERE "Winning score" = '−20 (70-69-64-65=268)' | SELECT "Runner-up" FROM "table_34804" WHERE "Winning score" = '−20 (70-69-64-65=268)' | 0.083008 |
CREATE TABLE table_56237 ("Home team" CLOB, "Home team score" CLOB, "Away team" CLOB, "Away team score" CLOB, "Venue" CLOB, "Crowd" FLOAT, "Date" CLOB)
| What day did Footscray play as the home team? | SELECT "Date" FROM table_56237 WHERE "Home team" = 'footscray' | SELECT "Date" FROM "table_56237" WHERE "Home team" = 'footscray' | 0.0625 |
CREATE TABLE Posts (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE PostTags (PostId NUMBER, TagId NUMBER)
CREATE TABLE PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId NUMBER)
CREATE TABLE ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
CREATE TABLE PostTypes (Id NUMBER, Name CLOB)
CREATE TABLE ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId NUMBER)
CREATE TABLE CloseAsOffTopicReasonTypes (Id NUMBER, IsUniversal BOOLEAN, InputTitle CLOB, MarkdownInputGuidance CLOB, MarkdownPostOwnerGuidance CLOB, MarkdownPrivilegedUserGuidance CLOB, MarkdownConcensusDescription CLOB, CreationDate TIME, CreationModeratorId NUMBER, ApprovalDate TIME, ApprovalModeratorId NUMBER, DeactivationDate TIME, DeactivationModeratorId NUMBER)
CREATE TABLE PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
CREATE TABLE Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
CREATE TABLE SuggestedEditVotes (Id NUMBER, SuggestedEditId NUMBER, UserId NUMBER, VoteTypeId NUMBER, CreationDate TIME, TargetUserId NUMBER, TargetRepChange NUMBER)
CREATE TABLE PostHistory (Id NUMBER, PostHistoryTypeId NUMBER, PostId NUMBER, RevisionGUID other, CreationDate TIME, UserId NUMBER, UserDisplayName CLOB, Comment CLOB, Text CLOB, ContentLicense CLOB)
CREATE TABLE ReviewTaskResultTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount NUMBER)
CREATE TABLE FlagTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId NUMBER)
CREATE TABLE ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment CLOB)
CREATE TABLE PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
CREATE TABLE PostHistoryTypes (Id NUMBER, Name CLOB)
CREATE TABLE ReviewTaskStates (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Users (Id NUMBER, Reputation NUMBER, CreationDate TIME, DisplayName CLOB, LastAccessDate TIME, WebsiteUrl CLOB, Location CLOB, AboutMe CLOB, Views NUMBER, UpVotes NUMBER, DownVotes NUMBER, ProfileImageUrl CLOB, EmailHash CLOB, AccountId NUMBER)
CREATE TABLE VoteTypes (Id NUMBER, Name CLOB)
CREATE TABLE ReviewTaskTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE CloseReasonTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
CREATE TABLE PostsWithDeleted (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE TagSynonyms (Id NUMBER, SourceTagName CLOB, TargetTagName CLOB, CreationDate TIME, OwnerUserId NUMBER, AutoRenameCount NUMBER, LastAutoRename TIME, Score NUMBER, ApprovedByUserId NUMBER, ApprovalDate TIME)
CREATE TABLE PendingFlags (Id NUMBER, FlagTypeId NUMBER, PostId NUMBER, CreationDate TIME, CloseReasonTypeId NUMBER, CloseAsOffTopicReasonTypeId NUMBER, DuplicateOfQuestionId NUMBER, BelongsOnBaseHostAddress CLOB)
CREATE TABLE Comments (Id NUMBER, PostId NUMBER, Score NUMBER, Text CLOB, CreationDate TIME, UserDisplayName CLOB, UserId NUMBER, ContentLicense CLOB)
CREATE TABLE SuggestedEdits (Id NUMBER, PostId NUMBER, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId NUMBER, Comment CLOB, Text CLOB, Title CLOB, Tags CLOB, RevisionGUID other)
| Find suggested duplicates that haven't led to question closure in a tag. Locate old dupe suggestions where the flag has timed out | SELECT p.Id AS "post_link", p.CreationDate FROM Comments AS c JOIN Posts AS p ON c.PostId = p.Id JOIN PostTags AS pt ON pt.PostId = p.Id JOIN Tags AS t ON t.Id = pt.TagId WHERE c.Text LIKE '%possible duplicate%' AND p.ClosedDate IS NULL AND p.PostTypeId = 1 AND t.TagName = @Tag ORDER BY p.Id | SELECT "p"."Id" AS "post_link", "p"."CreationDate" FROM "Comments" "c" JOIN "Posts" "p" ON "c"."PostId" = "p"."Id" AND "p"."ClosedDate" IS NULL AND "p"."PostTypeId" = 1 JOIN "PostTags" "pt" ON "p"."Id" = "pt"."PostId" JOIN "Tags" "t" ON "pt"."TagId" = "t"."Id" AND "t"."TagName" = @Tag WHERE "c"."Text" LIKE '%possible duplicate%' ORDER BY "p"."Id" | 0.339844 |
CREATE TABLE table_65471 ("Heat" FLOAT, "Lane" FLOAT, "Name" CLOB, "Nationality" CLOB, "Time" CLOB)
| What is the time of lane 3 in heat 5? | SELECT "Time" FROM table_65471 WHERE "Heat" = '5' AND "Lane" = '3' | SELECT "Time" FROM "table_65471" WHERE "Heat" = '5' AND "Lane" = '3' | 0.066406 |
CREATE TABLE table_203_88 (id NUMBER, "language" CLOB, "number" NUMBER, "percentage ( % ) " NUMBER, "males" NUMBER, "females" NUMBER)
| number of male russian speakers | SELECT "males" FROM table_203_88 WHERE "language" = 'russian' | SELECT "males" FROM "table_203_88" WHERE "language" = 'russian' | 0.061523 |
CREATE TABLE table_17326036_5 (high_rebounds VARCHAR2, date VARCHAR2)
| Who did the most high rebounds in the game played on November 1? | SELECT high_rebounds FROM table_17326036_5 WHERE date = "November 1" | SELECT "high_rebounds" FROM "table_17326036_5" WHERE "November 1" = "date" | 0.072266 |
CREATE TABLE table_name_96 (home_team VARCHAR2, venue VARCHAR2)
| What is the score for the home team when the venue is Junction Oval? | SELECT home_team AS score FROM table_name_96 WHERE venue = "junction oval" | SELECT "home_team" AS "score" FROM "table_name_96" WHERE "junction oval" = "venue" | 0.080078 |
CREATE TABLE table_name_51 (city VARCHAR2, iata VARCHAR2)
| What is the City with an IATA of MUC? | SELECT city FROM table_name_51 WHERE iata = "muc" | SELECT "city" FROM "table_name_51" WHERE "iata" = "muc" | 0.053711 |
CREATE TABLE table_name_57 (year VARCHAR2)
| Which year's label was label? | SELECT year FROM table_name_57 WHERE "label" = "label" | SELECT "year" FROM "table_name_57" WHERE "label" = "label" | 0.056641 |
CREATE TABLE table_21977627_1 (driver VARCHAR2, entrant VARCHAR2)
| How many drivers did Bob Gerard Racing have? | SELECT COUNT(driver) FROM table_21977627_1 WHERE entrant = "Bob Gerard Racing" | SELECT COUNT("driver") FROM "table_21977627_1" WHERE "Bob Gerard Racing" = "entrant" | 0.082031 |
CREATE TABLE time_interval (period CLOB, begin_time NUMBER, end_time NUMBER)
CREATE TABLE restriction (restriction_code CLOB, advance_purchase NUMBER, stopovers CLOB, saturday_stay_required CLOB, minimum_stay NUMBER, maximum_stay NUMBER, application CLOB, no_discounts CLOB)
CREATE TABLE airport_service (city_code VARCHAR2, airport_code VARCHAR2, miles_distant NUMBER, direction VARCHAR2, minutes_distant NUMBER)
CREATE TABLE dual_carrier (main_airline VARCHAR2, low_flight_number NUMBER, high_flight_number NUMBER, dual_airline VARCHAR2, service_name CLOB)
CREATE TABLE fare (fare_id NUMBER, from_airport VARCHAR2, to_airport VARCHAR2, fare_basis_code CLOB, fare_airline CLOB, restriction_code CLOB, one_direction_cost NUMBER, round_trip_cost NUMBER, round_trip_required VARCHAR2)
CREATE TABLE ground_service (city_code CLOB, airport_code CLOB, transport_type CLOB, ground_fare NUMBER)
CREATE TABLE month (month_number NUMBER, month_name CLOB)
CREATE TABLE flight_leg (flight_id NUMBER, leg_number NUMBER, leg_flight NUMBER)
CREATE TABLE fare_basis (fare_basis_code CLOB, booking_class CLOB, class_type CLOB, premium CLOB, economy CLOB, discounted CLOB, night CLOB, season CLOB, basis_days CLOB)
CREATE TABLE days (days_code VARCHAR2, day_name VARCHAR2)
CREATE TABLE equipment_sequence (aircraft_code_sequence VARCHAR2, aircraft_code VARCHAR2)
CREATE TABLE class_of_service (booking_class VARCHAR2, rank NUMBER, class_description CLOB)
CREATE TABLE city (city_code VARCHAR2, city_name VARCHAR2, state_code VARCHAR2, country_name VARCHAR2, time_zone_code VARCHAR2)
CREATE TABLE flight (aircraft_code_sequence CLOB, airline_code VARCHAR2, airline_flight CLOB, arrival_time NUMBER, connections NUMBER, departure_time NUMBER, dual_carrier CLOB, flight_days CLOB, flight_id NUMBER, flight_number NUMBER, from_airport VARCHAR2, meal_code CLOB, stops NUMBER, time_elapsed NUMBER, to_airport VARCHAR2)
CREATE TABLE time_zone (time_zone_code CLOB, time_zone_name CLOB, hours_from_gmt NUMBER)
CREATE TABLE code_description (code VARCHAR2, description CLOB)
CREATE TABLE date_day (month_number NUMBER, day_number NUMBER, year NUMBER, day_name VARCHAR2)
CREATE TABLE airline (airline_code VARCHAR2, airline_name CLOB, note CLOB)
CREATE TABLE compartment_class (compartment VARCHAR2, class_type VARCHAR2)
CREATE TABLE flight_stop (flight_id NUMBER, stop_number NUMBER, stop_days CLOB, stop_airport CLOB, arrival_time NUMBER, arrival_airline CLOB, arrival_flight_number NUMBER, departure_time NUMBER, departure_airline CLOB, departure_flight_number NUMBER, stop_time NUMBER)
CREATE TABLE aircraft (aircraft_code VARCHAR2, aircraft_description VARCHAR2, manufacturer VARCHAR2, basic_type VARCHAR2, engines NUMBER, propulsion VARCHAR2, wide_body VARCHAR2, wing_span NUMBER, length NUMBER, weight NUMBER, capacity NUMBER, pay_load NUMBER, cruising_speed NUMBER, range_miles NUMBER, pressurized VARCHAR2)
CREATE TABLE airport (airport_code VARCHAR2, airport_name CLOB, airport_location CLOB, state_code VARCHAR2, country_name VARCHAR2, time_zone_code VARCHAR2, minimum_connect_time NUMBER)
CREATE TABLE food_service (meal_code CLOB, meal_number NUMBER, compartment CLOB, meal_description VARCHAR2)
CREATE TABLE state (state_code CLOB, state_name CLOB, country_name CLOB)
CREATE TABLE flight_fare (flight_id NUMBER, fare_id NUMBER)
| can you list all flights from TORONTO to SAN DIEGO | SELECT DISTINCT flight.flight_id FROM airport_service AS AIRPORT_SERVICE_0, airport_service AS AIRPORT_SERVICE_1, city AS CITY_0, city AS CITY_1, flight WHERE CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'TORONTO' AND CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'SAN DIEGO' AND flight.from_airport = AIRPORT_SERVICE_0.airport_code AND flight.to_airport = AIRPORT_SERVICE_1.airport_code | SELECT DISTINCT "flight"."flight_id" FROM "airport_service" "AIRPORT_SERVICE_0" JOIN "city" "CITY_0" ON "AIRPORT_SERVICE_0"."city_code" = "CITY_0"."city_code" AND "CITY_0"."city_name" = 'TORONTO' JOIN "flight" ON "AIRPORT_SERVICE_0"."airport_code" = "flight"."from_airport" JOIN "airport_service" "AIRPORT_SERVICE_1" ON "AIRPORT_SERVICE_1"."airport_code" = "flight"."to_airport" JOIN "city" "CITY_1" ON "AIRPORT_SERVICE_1"."city_code" = "CITY_1"."city_code" AND "CITY_1"."city_name" = 'SAN DIEGO' | 0.484375 |
CREATE TABLE table_23803 ("BSE Code" CLOB, "Company" CLOB, "City" CLOB, "GICS Sector" CLOB, "Free float" CLOB, "Index weighting ( %" CLOB)
| Which companies have a free float of 0.2726? | SELECT "Company" FROM table_23803 WHERE "Free float" = '0.2726' | SELECT "Company" FROM "table_23803" WHERE "Free float" = '0.2726' | 0.063477 |
CREATE TABLE event (ID NUMBER, Name CLOB, Stadium_ID NUMBER, Year CLOB)
CREATE TABLE record (ID NUMBER, Result CLOB, Swimmer_ID NUMBER, Event_ID NUMBER)
CREATE TABLE swimmer (ID NUMBER, name CLOB, Nationality CLOB, meter_100 FLOAT, meter_200 CLOB, meter_300 CLOB, meter_400 CLOB, meter_500 CLOB, meter_600 CLOB, meter_700 CLOB, Time CLOB)
CREATE TABLE stadium (ID NUMBER, name CLOB, Capacity NUMBER, City CLOB, Country CLOB, Opening_year NUMBER)
| Show id from each meter 300, order by the bars in descending. | SELECT meter_300, ID FROM swimmer ORDER BY meter_300 DESC | SELECT "meter_300", "ID" FROM "swimmer" ORDER BY "meter_300" DESC | 0.063477 |
CREATE TABLE table_59266 ("Position" FLOAT, "Club" CLOB, "Played" FLOAT, "Points" FLOAT, "Wins" FLOAT, "Draws" FLOAT, "Losses" FLOAT, "Goals for" FLOAT, "Goals against" FLOAT, "Goal Difference" FLOAT)
| What is the total number of played for the entry with a position of less than 1? | SELECT SUM("Played") FROM table_59266 WHERE "Position" < '1' | SELECT SUM("Played") FROM "table_59266" WHERE "Position" < '1' | 0.060547 |
CREATE TABLE table_10975034_2 (position VARCHAR2, player VARCHAR2)
| What position does Christian Leibl-Cote play? | SELECT position FROM table_10975034_2 WHERE player = "Christian Leibl-Cote" | SELECT "position" FROM "table_10975034_2" WHERE "Christian Leibl-Cote" = "player" | 0.079102 |
CREATE TABLE table_203_171 (id NUMBER, "place\ ( posicion ) " NUMBER, "team\ ( equipo ) " CLOB, "played\ ( pj ) " NUMBER, "won\ ( pg ) " NUMBER, "draw\ ( pe ) " NUMBER, "lost\ ( pp ) " NUMBER, "goals scored\ ( gf ) " NUMBER, "goals conceded\ ( gc ) " NUMBER, "+/-\ ( dif. ) " NUMBER, "points\ ( pts. ) " NUMBER)
| who is the top team ? | SELECT "team\n(equipo)" FROM table_203_171 WHERE "place\n(posicion)" = 1 | SELECT "team\n(equipo)" FROM "table_203_171" WHERE "place\n(posicion)" = 1 | 0.072266 |
CREATE TABLE table_name_45 (apparent_magnitude NUMBER, ngc_number NUMBER)
| What is the total of Apparent magnitudes for an NGC number larger than 3293? | SELECT SUM(apparent_magnitude) FROM table_name_45 WHERE ngc_number > 3293 | SELECT SUM("apparent_magnitude") FROM "table_name_45" WHERE "ngc_number" > 3293 | 0.077148 |
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
| provide the number of patients whose death status is 1 and age is less than 67? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.expire_flag = "1" AND demographic.age < "67" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "1" = "demographic"."expire_flag" AND "67" > "demographic"."age" | 0.135742 |
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
| count the number of patients whose days of hospital stay is greater than 1 and procedure long title is biopsy of bone marrow? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.days_stay > "1" AND procedures.long_title = "Biopsy of bone marrow" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "procedures" ON "Biopsy of bone marrow" = "procedures"."long_title" AND "demographic"."hadm_id" = "procedures"."hadm_id" WHERE "1" < "demographic"."days_stay" | 0.226563 |
CREATE TABLE table_name_33 (date VARCHAR2, tie_no VARCHAR2)
| What is Date, when Tie no is '3'? | SELECT date FROM table_name_33 WHERE tie_no = "3" | SELECT "date" FROM "table_name_33" WHERE "3" = "tie_no" | 0.053711 |
CREATE TABLE table_23576576_2 (contestant VARCHAR2, hometown VARCHAR2)
| If the hometown is Omuthiya, what is the contestant name? | SELECT contestant FROM table_23576576_2 WHERE hometown = "Omuthiya" | SELECT "contestant" FROM "table_23576576_2" WHERE "Omuthiya" = "hometown" | 0.071289 |
CREATE TABLE gas_station (Station_ID NUMBER, Open_Year NUMBER, Location CLOB, Manager_Name CLOB, Vice_Manager_Name CLOB, Representative_Name CLOB)
CREATE TABLE station_company (Station_ID NUMBER, Company_ID NUMBER, Rank_of_the_Year NUMBER)
CREATE TABLE company (Company_ID NUMBER, Rank NUMBER, Company CLOB, Headquarters CLOB, Main_Industry CLOB, Sales_billion FLOAT, Profits_billion FLOAT, Assets_billion FLOAT, Market_Value FLOAT)
| Show all main industry and total market value in each industry by a bar chart, show in asc by the y-axis please. | SELECT Main_Industry, SUM(Market_Value) FROM company GROUP BY Main_Industry ORDER BY SUM(Market_Value) | SELECT "Main_Industry", SUM("Market_Value") FROM "company" GROUP BY "Main_Industry" ORDER BY SUM("Market_Value") | 0.109375 |
CREATE TABLE admissions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, admittime TIME, dischtime TIME, admission_type CLOB, admission_location CLOB, discharge_location CLOB, insurance CLOB, language CLOB, marital_status CLOB, ethnicity CLOB, age NUMBER)
CREATE TABLE d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
CREATE TABLE diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
CREATE TABLE d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
CREATE TABLE d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE icustays (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, first_careunit CLOB, last_careunit CLOB, first_wardid NUMBER, last_wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
CREATE TABLE cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE transfers (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, eventtype CLOB, careunit CLOB, wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
CREATE TABLE labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
CREATE TABLE chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE prescriptions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, startdate TIME, enddate TIME, drug CLOB, dose_val_rx CLOB, dose_unit_rx CLOB, route CLOB)
| what is the maximum hospital cost that involves a procedure known as a cl reduct mandible fx until 2104? | SELECT MAX(t1.c1) FROM (SELECT SUM(cost.cost) AS c1 FROM cost WHERE cost.hadm_id IN (SELECT procedures_icd.hadm_id FROM procedures_icd WHERE procedures_icd.icd9_code = (SELECT d_icd_procedures.icd9_code FROM d_icd_procedures WHERE d_icd_procedures.short_title = 'cl reduct mandible fx')) AND STRFTIME('%y', cost.chargetime) <= '2104' GROUP BY cost.hadm_id) AS t1 | WITH "_u_1" AS (SELECT "procedures_icd"."hadm_id" FROM "procedures_icd" JOIN "d_icd_procedures" ON "d_icd_procedures"."icd9_code" = "procedures_icd"."icd9_code" AND "d_icd_procedures"."short_title" = 'cl reduct mandible fx' GROUP BY "hadm_id"), "t1" AS (SELECT SUM("cost"."cost") AS "c1" FROM "cost" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "cost"."hadm_id" WHERE NOT "_u_1"."" IS NULL AND STRFTIME('%y', "cost"."chargetime") <= '2104' GROUP BY "cost"."hadm_id") SELECT MAX("t1"."c1") FROM "t1" "t1" | 0.485352 |
CREATE TABLE stadium (ID NUMBER, name CLOB, Capacity NUMBER, City CLOB, Country CLOB, Opening_year NUMBER)
CREATE TABLE swimmer (ID NUMBER, name CLOB, Nationality CLOB, meter_100 FLOAT, meter_200 CLOB, meter_300 CLOB, meter_400 CLOB, meter_500 CLOB, meter_600 CLOB, meter_700 CLOB, Time CLOB)
CREATE TABLE record (ID NUMBER, Result CLOB, Swimmer_ID NUMBER, Event_ID NUMBER)
CREATE TABLE event (ID NUMBER, Name CLOB, Stadium_ID NUMBER, Year CLOB)
| Give me the comparison about ID over the meter_500 , and show y axis from high to low order. | SELECT meter_500, ID FROM swimmer ORDER BY ID DESC | SELECT "meter_500", "ID" FROM "swimmer" ORDER BY "ID" DESC | 0.056641 |
CREATE TABLE table_name_24 (opponent VARCHAR2, date VARCHAR2)
| Which opponent has a Date of july 27? | SELECT opponent FROM table_name_24 WHERE date = "july 27" | SELECT "opponent" FROM "table_name_24" WHERE "date" = "july 27" | 0.061523 |
CREATE TABLE table_name_90 (semifinalists VARCHAR2, finalist VARCHAR2)
| Who are the semifinalists of the tournament with magnus gustafsson as the finalist? | SELECT semifinalists FROM table_name_90 WHERE finalist = "magnus gustafsson" | SELECT "semifinalists" FROM "table_name_90" WHERE "finalist" = "magnus gustafsson" | 0.080078 |
CREATE TABLE table_14168 ("Model number" CLOB, "sSpec number" CLOB, "Cores" CLOB, "Frequency" CLOB, "Turbo" CLOB, "L2 cache" CLOB, "L3 cache" CLOB, "GPU model" CLOB, "GPU frequency" CLOB, "Socket" CLOB, "I/O bus" CLOB, "Release date" CLOB, "Release price ( USD ) " CLOB)
| What is the cores when the L3 cache is 8 mb, and the frequency is 2.5 ghz? | SELECT "Cores" FROM table_14168 WHERE "L3 cache" = '8 mb' AND "Frequency" = '2.5 ghz' | SELECT "Cores" FROM "table_14168" WHERE "Frequency" = '2.5 ghz' AND "L3 cache" = '8 mb' | 0.084961 |
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
CREATE TABLE d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE icustays (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, first_careunit CLOB, last_careunit CLOB, first_wardid NUMBER, last_wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
CREATE TABLE transfers (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, eventtype CLOB, careunit CLOB, wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE admissions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, admittime TIME, dischtime TIME, admission_type CLOB, admission_location CLOB, discharge_location CLOB, insurance CLOB, language CLOB, marital_status CLOB, ethnicity CLOB, age NUMBER)
CREATE TABLE outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
CREATE TABLE prescriptions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, startdate TIME, enddate TIME, drug CLOB, dose_val_rx CLOB, dose_unit_rx CLOB, route CLOB)
CREATE TABLE patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
CREATE TABLE d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
CREATE TABLE microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
| what is the total bag dose that until 51 months ago patient 27591 has been prescribed? | SELECT SUM(prescriptions.dose_val_rx) FROM prescriptions WHERE prescriptions.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 27591) AND prescriptions.drug = 'bag' AND DATETIME(prescriptions.startdate) <= DATETIME(CURRENT_TIME(), '-51 month') | WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 27591 GROUP BY "hadm_id") SELECT SUM("prescriptions"."dose_val_rx") FROM "prescriptions" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "prescriptions"."hadm_id" WHERE "prescriptions"."drug" = 'bag' AND DATETIME("prescriptions"."startdate") <= DATETIME(CURRENT_TIME(), '-51 month') AND NOT "_u_0"."" IS NULL | 0.387695 |
CREATE TABLE table_name_46 (money___$__ VARCHAR2, player VARCHAR2)
| What is Chris Riley's Money? | SELECT money___$__ FROM table_name_46 WHERE player = "chris riley" | SELECT "money___$__" FROM "table_name_46" WHERE "chris riley" = "player" | 0.070313 |
CREATE TABLE table_name_11 (place VARCHAR2, score VARCHAR2)
| What place did the golfer who had a score of 69-68-69-70=276 finish in? | SELECT place FROM table_name_11 WHERE score = 69 - 68 - 69 - 70 = 276 | SELECT "place" FROM "table_name_11" WHERE "score" = FALSE | 0.055664 |
CREATE TABLE table_name_14 (pick NUMBER, position VARCHAR2, round VARCHAR2)
| What is the average Pick with a Position of pg, and a Round less than 1? | SELECT AVG(pick) FROM table_name_14 WHERE position = "pg" AND round < 1 | SELECT AVG("pick") FROM "table_name_14" WHERE "pg" = "position" AND "round" < 1 | 0.077148 |
CREATE TABLE table_name_39 (gold VARCHAR2, silver VARCHAR2, year VARCHAR2)
| Can you tell me the Gold that has the Silver of south korea, and the Year of 1986? | SELECT gold FROM table_name_39 WHERE silver = "south korea" AND year = 1986 | SELECT "gold" FROM "table_name_39" WHERE "silver" = "south korea" AND "year" = 1986 | 0.081055 |
CREATE TABLE table_name_45 (attendance VARCHAR2, week VARCHAR2, date VARCHAR2)
| What is the attendance number later than week 9 on November 20, 1983? | SELECT COUNT(attendance) FROM table_name_45 WHERE week > 9 AND date = "november 20, 1983" | SELECT COUNT("attendance") FROM "table_name_45" WHERE "date" = "november 20, 1983" AND "week" > 9 | 0.094727 |
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
| find the number of patients born before 1821 who belong to black/african american ethnic background. | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.ethnicity = "BLACK/AFRICAN AMERICAN" AND demographic.dob_year < "1821" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "1821" > "demographic"."dob_year" AND "BLACK/AFRICAN AMERICAN" = "demographic"."ethnicity" | 0.161133 |
CREATE TABLE diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE admissions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, admittime TIME, dischtime TIME, admission_type CLOB, admission_location CLOB, discharge_location CLOB, insurance CLOB, language CLOB, marital_status CLOB, ethnicity CLOB, age NUMBER)
CREATE TABLE icustays (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, first_careunit CLOB, last_careunit CLOB, first_wardid NUMBER, last_wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
CREATE TABLE d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
CREATE TABLE transfers (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, eventtype CLOB, careunit CLOB, wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
CREATE TABLE cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
CREATE TABLE patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
CREATE TABLE labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE prescriptions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, startdate TIME, enddate TIME, drug CLOB, dose_val_rx CLOB, dose_unit_rx CLOB, route CLOB)
CREATE TABLE microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
CREATE TABLE chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
| tell me the name of the organism found in the last blood culture microbiology test on patient 15968 in 08/2100? | SELECT microbiologyevents.org_name FROM microbiologyevents WHERE microbiologyevents.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 15968) AND microbiologyevents.spec_type_desc = 'blood culture' AND NOT microbiologyevents.org_name IS NULL AND STRFTIME('%y-%m', microbiologyevents.charttime) = '2100-08' ORDER BY microbiologyevents.charttime DESC LIMIT 1 | WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 15968 GROUP BY "hadm_id") SELECT "microbiologyevents"."org_name" FROM "microbiologyevents" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "microbiologyevents"."hadm_id" WHERE "microbiologyevents"."spec_type_desc" = 'blood culture' AND NOT "_u_0"."" IS NULL AND NOT "microbiologyevents"."org_name" IS NULL AND STRFTIME('%y-%m', "microbiologyevents"."charttime") = '2100-08' ORDER BY "microbiologyevents"."charttime" DESC FETCH FIRST 1 ROWS ONLY | 0.520508 |
CREATE TABLE Elimination (Elimination_ID CLOB, Wrestler_ID CLOB, Team CLOB, Eliminated_By CLOB, Elimination_Move CLOB, Time CLOB)
CREATE TABLE wrestler (Wrestler_ID NUMBER, Name CLOB, Reign CLOB, Days_held CLOB, Location CLOB, Event CLOB)
| Show the number of teams in elimination in a bar chart, could you display y axis in ascending order? | SELECT Team, COUNT(Team) FROM Elimination GROUP BY Team ORDER BY COUNT(Team) | SELECT "Team", COUNT("Team") FROM "Elimination" GROUP BY "Team" ORDER BY COUNT("Team") | 0.083984 |
CREATE TABLE table_name_37 (total NUMBER, nation VARCHAR2)
| What was the most total medals awarded to Poland? | SELECT MAX(total) FROM table_name_37 WHERE nation = "poland" | SELECT MAX("total") FROM "table_name_37" WHERE "nation" = "poland" | 0.064453 |
CREATE TABLE table_14806 ("Date" CLOB, "Tournament" CLOB, "Winning score" CLOB, "Margin of victory" CLOB, "Runner ( s ) -up" CLOB)
| Name the runner-up for margin of victory of 1 stroke and tournament of legend financial group classic | SELECT "Runner(s)-up" FROM table_14806 WHERE "Margin of victory" = '1 stroke' AND "Tournament" = 'legend financial group classic' | SELECT "Runner(s)-up" FROM "table_14806" WHERE "Margin of victory" = '1 stroke' AND "Tournament" = 'legend financial group classic' | 0.12793 |
CREATE TABLE table_name_74 (fastest_lap VARCHAR2, name VARCHAR2)
| What time was the fastest lap during Stoh's 200 in 1982? | SELECT fastest_lap FROM table_name_74 WHERE name = "stoh's 200" | SELECT "fastest_lap" FROM "table_name_74" WHERE "name" = "stoh's 200" | 0.067383 |
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
| provide the number of patients whose age is less than 85 and diagnoses long title is neurogenic bladder nos? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.age < "85" AND diagnoses.long_title = "Neurogenic bladder NOS" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "Neurogenic bladder NOS" = "diagnoses"."long_title" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" WHERE "85" > "demographic"."age" | 0.219727 |
CREATE TABLE time_zone (time_zone_code CLOB, time_zone_name CLOB, hours_from_gmt NUMBER)
CREATE TABLE date_day (month_number NUMBER, day_number NUMBER, year NUMBER, day_name VARCHAR2)
CREATE TABLE state (state_code CLOB, state_name CLOB, country_name CLOB)
CREATE TABLE airport (airport_code VARCHAR2, airport_name CLOB, airport_location CLOB, state_code VARCHAR2, country_name VARCHAR2, time_zone_code VARCHAR2, minimum_connect_time NUMBER)
CREATE TABLE dual_carrier (main_airline VARCHAR2, low_flight_number NUMBER, high_flight_number NUMBER, dual_airline VARCHAR2, service_name CLOB)
CREATE TABLE code_description (code VARCHAR2, description CLOB)
CREATE TABLE flight_fare (flight_id NUMBER, fare_id NUMBER)
CREATE TABLE ground_service (city_code CLOB, airport_code CLOB, transport_type CLOB, ground_fare NUMBER)
CREATE TABLE equipment_sequence (aircraft_code_sequence VARCHAR2, aircraft_code VARCHAR2)
CREATE TABLE city (city_code VARCHAR2, city_name VARCHAR2, state_code VARCHAR2, country_name VARCHAR2, time_zone_code VARCHAR2)
CREATE TABLE class_of_service (booking_class VARCHAR2, rank NUMBER, class_description CLOB)
CREATE TABLE flight_stop (flight_id NUMBER, stop_number NUMBER, stop_days CLOB, stop_airport CLOB, arrival_time NUMBER, arrival_airline CLOB, arrival_flight_number NUMBER, departure_time NUMBER, departure_airline CLOB, departure_flight_number NUMBER, stop_time NUMBER)
CREATE TABLE food_service (meal_code CLOB, meal_number NUMBER, compartment CLOB, meal_description VARCHAR2)
CREATE TABLE compartment_class (compartment VARCHAR2, class_type VARCHAR2)
CREATE TABLE restriction (restriction_code CLOB, advance_purchase NUMBER, stopovers CLOB, saturday_stay_required CLOB, minimum_stay NUMBER, maximum_stay NUMBER, application CLOB, no_discounts CLOB)
CREATE TABLE fare_basis (fare_basis_code CLOB, booking_class CLOB, class_type CLOB, premium CLOB, economy CLOB, discounted CLOB, night CLOB, season CLOB, basis_days CLOB)
CREATE TABLE airline (airline_code VARCHAR2, airline_name CLOB, note CLOB)
CREATE TABLE airport_service (city_code VARCHAR2, airport_code VARCHAR2, miles_distant NUMBER, direction VARCHAR2, minutes_distant NUMBER)
CREATE TABLE time_interval (period CLOB, begin_time NUMBER, end_time NUMBER)
CREATE TABLE flight (aircraft_code_sequence CLOB, airline_code VARCHAR2, airline_flight CLOB, arrival_time NUMBER, connections NUMBER, departure_time NUMBER, dual_carrier CLOB, flight_days CLOB, flight_id NUMBER, flight_number NUMBER, from_airport VARCHAR2, meal_code CLOB, stops NUMBER, time_elapsed NUMBER, to_airport VARCHAR2)
CREATE TABLE flight_leg (flight_id NUMBER, leg_number NUMBER, leg_flight NUMBER)
CREATE TABLE aircraft (aircraft_code VARCHAR2, aircraft_description VARCHAR2, manufacturer VARCHAR2, basic_type VARCHAR2, engines NUMBER, propulsion VARCHAR2, wide_body VARCHAR2, wing_span NUMBER, length NUMBER, weight NUMBER, capacity NUMBER, pay_load NUMBER, cruising_speed NUMBER, range_miles NUMBER, pressurized VARCHAR2)
CREATE TABLE fare (fare_id NUMBER, from_airport VARCHAR2, to_airport VARCHAR2, fare_basis_code CLOB, fare_airline CLOB, restriction_code CLOB, one_direction_cost NUMBER, round_trip_cost NUMBER, round_trip_required VARCHAR2)
CREATE TABLE month (month_number NUMBER, month_name CLOB)
CREATE TABLE days (days_code VARCHAR2, day_name VARCHAR2)
| DL flights to SAN FRANCISCO please | SELECT DISTINCT flight.flight_id FROM airport_service, city, flight WHERE city.city_code = airport_service.city_code AND city.city_name = 'SAN FRANCISCO' AND flight.airline_code = 'DL' AND flight.to_airport = airport_service.airport_code | SELECT DISTINCT "flight"."flight_id" FROM "airport_service" JOIN "city" ON "airport_service"."city_code" = "city"."city_code" AND "city"."city_name" = 'SAN FRANCISCO' JOIN "flight" ON "airport_service"."airport_code" = "flight"."to_airport" AND "flight"."airline_code" = 'DL' | 0.268555 |
CREATE TABLE table_45129 ("Rank" FLOAT, "Company" CLOB, "Headquarters" CLOB, "Industry" CLOB, "Sales ( billion $ ) " FLOAT, "Profits ( billion $ ) " FLOAT, "Assets ( billion $ ) " FLOAT, "Market Value ( billion $ ) " FLOAT)
| What is the average sales in billions of the company headquartered in France with more than 2,539.1 billion in assets? | SELECT AVG("Sales (billion $)") FROM table_45129 WHERE "Headquarters" = 'france' AND "Assets (billion $)" > '2,539.1' | SELECT AVG("Sales (billion $)") FROM "table_45129" WHERE "Assets (billion $)" > '2,539.1' AND "Headquarters" = 'france' | 0.116211 |
CREATE TABLE table_4775 ("Home team" CLOB, "Home team score" CLOB, "Away team" CLOB, "Away team score" CLOB, "Venue" CLOB, "Crowd" FLOAT, "Date" CLOB)
| The venue of Brunswick Street Oval was used on what date? | SELECT "Date" FROM table_4775 WHERE "Venue" = 'brunswick street oval' | SELECT "Date" FROM "table_4775" WHERE "Venue" = 'brunswick street oval' | 0.069336 |
CREATE TABLE table_name_93 (exponent_field VARCHAR2, exp__biased_ VARCHAR2, value VARCHAR2)
| What's the exponent field that has 255 exp and value of + ? | SELECT exponent_field FROM table_name_93 WHERE exp__biased_ = "255" AND value = "+∞" | SELECT "exponent_field" FROM "table_name_93" WHERE "+∞" = "value" AND "255" = "exp__biased_" | 0.089844 |
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
| provide the number of patients whose age is less than 72 and drug name is pravastatin? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.age < "72" AND prescriptions.drug = "Pravastatin" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "prescriptions" ON "Pravastatin" = "prescriptions"."drug" AND "demographic"."hadm_id" = "prescriptions"."hadm_id" WHERE "72" > "demographic"."age" | 0.214844 |
CREATE TABLE table_32262 ("Week" FLOAT, "Date" CLOB, "Opponent" CLOB, "Result" CLOB, "Attendance" FLOAT)
| What opponent has a Result of w 31 0? | SELECT "Opponent" FROM table_32262 WHERE "Result" = 'w 31–0' | SELECT "Opponent" FROM "table_32262" WHERE "Result" = 'w 31–0' | 0.060547 |
CREATE TABLE table_225093_4 (district VARCHAR2, vacator VARCHAR2)
| Which district has John Culpepper (f) as the vacator? | SELECT district FROM table_225093_4 WHERE vacator = "John Culpepper (F)" | SELECT "district" FROM "table_225093_4" WHERE "John Culpepper (F)" = "vacator" | 0.076172 |
CREATE TABLE table_204_63 (id NUMBER, "round" NUMBER, "circuit" CLOB, "date" CLOB, "pole position" CLOB, "winning driver" CLOB, "winning team" CLOB, "trophy winner" CLOB)
| who had more winning teams , target or azeta ? | SELECT "winning team" FROM table_204_63 WHERE "winning team" IN ('target racing', 'azeta racing') GROUP BY "winning team" ORDER BY COUNT(*) DESC LIMIT 1 | SELECT "winning team" FROM "table_204_63" WHERE "winning team" IN ('target racing', 'azeta racing') GROUP BY "winning team" ORDER BY COUNT(*) DESC FETCH FIRST 1 ROWS ONLY | 0.166016 |
CREATE TABLE gsi (course_offering_id NUMBER, student_id NUMBER)
CREATE TABLE course_prerequisite (pre_course_id NUMBER, course_id NUMBER)
CREATE TABLE instructor (instructor_id NUMBER, name VARCHAR2, uniqname VARCHAR2)
CREATE TABLE semester (semester_id NUMBER, semester VARCHAR2, year NUMBER)
CREATE TABLE requirement (requirement_id NUMBER, requirement VARCHAR2, college VARCHAR2)
CREATE TABLE program_course (program_id NUMBER, course_id NUMBER, workload NUMBER, category VARCHAR2)
CREATE TABLE course_tags_count (course_id NUMBER, clear_grading NUMBER, pop_quiz NUMBER, group_projects NUMBER, inspirational NUMBER, long_lectures NUMBER, extra_credit NUMBER, few_tests NUMBER, good_feedback NUMBER, tough_tests NUMBER, heavy_papers NUMBER, cares_for_students NUMBER, heavy_assignments NUMBER, respected NUMBER, participation NUMBER, heavy_reading NUMBER, tough_grader NUMBER, hilarious NUMBER, would_take_again NUMBER, good_lecture NUMBER, no_skip NUMBER)
CREATE TABLE program (program_id NUMBER, name VARCHAR2, college VARCHAR2, introduction VARCHAR2)
CREATE TABLE student (student_id NUMBER, lastname VARCHAR2, firstname VARCHAR2, program_id NUMBER, declare_major VARCHAR2, total_credit NUMBER, total_gpa FLOAT, entered_as VARCHAR2, admit_term NUMBER, predicted_graduation_semester NUMBER, degree VARCHAR2, minor VARCHAR2, internship VARCHAR2)
CREATE TABLE program_requirement (program_id NUMBER, category VARCHAR2, min_credit NUMBER, additional_req VARCHAR2)
CREATE TABLE comment_instructor (instructor_id NUMBER, student_id NUMBER, score NUMBER, comment_text VARCHAR2)
CREATE TABLE ta (campus_job_id NUMBER, student_id NUMBER, location VARCHAR2)
CREATE TABLE offering_instructor (offering_instructor_id NUMBER, offering_id NUMBER, instructor_id NUMBER)
CREATE TABLE course (course_id NUMBER, name VARCHAR2, department VARCHAR2, number VARCHAR2, credits VARCHAR2, advisory_requirement VARCHAR2, enforced_requirement VARCHAR2, description VARCHAR2, num_semesters NUMBER, num_enrolled NUMBER, has_discussion VARCHAR2, has_lab VARCHAR2, has_projects VARCHAR2, has_exams VARCHAR2, num_reviews NUMBER, clarity_score NUMBER, easiness_score NUMBER, helpfulness_score NUMBER)
CREATE TABLE student_record (student_id NUMBER, course_id NUMBER, semester NUMBER, grade VARCHAR2, how VARCHAR2, transfer_source VARCHAR2, earn_credit VARCHAR2, repeat_term VARCHAR2, test_id VARCHAR2)
CREATE TABLE jobs (job_id NUMBER, job_title VARCHAR2, description VARCHAR2, requirement VARCHAR2, city VARCHAR2, state VARCHAR2, country VARCHAR2, zip NUMBER)
CREATE TABLE course_offering (offering_id NUMBER, course_id NUMBER, semester NUMBER, section_number NUMBER, start_time TIME, end_time TIME, monday VARCHAR2, tuesday VARCHAR2, wednesday VARCHAR2, thursday VARCHAR2, friday VARCHAR2, saturday VARCHAR2, sunday VARCHAR2, has_final_project VARCHAR2, has_final_exam VARCHAR2, textbook VARCHAR2, class_address VARCHAR2, allow_audit VARCHAR2)
CREATE TABLE area (course_id NUMBER, area VARCHAR2)
| Are there sections of BIOMEDE 430 between the hours of 8:00 and 1:00 ? | SELECT DISTINCT course_offering.end_time, course_offering.section_number, course_offering.start_time FROM course, course_offering, semester WHERE course_offering.end_time <= '1:00' AND course_offering.start_time >= '8:00' AND course.course_id = course_offering.course_id AND course.department = 'BIOMEDE' AND course.number = 430 AND semester.semester = 'WN' AND semester.semester_id = course_offering.semester AND semester.year = 2016 | SELECT DISTINCT "course_offering"."end_time", "course_offering"."section_number", "course_offering"."start_time" FROM "course" JOIN "course_offering" ON "course"."course_id" = "course_offering"."course_id" AND "course_offering"."end_time" <= '1:00' AND "course_offering"."start_time" >= '8:00' JOIN "semester" ON "course_offering"."semester" = "semester"."semester_id" AND "semester"."semester" = 'WN' AND "semester"."year" = 2016 WHERE "course"."department" = 'BIOMEDE' AND "course"."number" = 430 | 0.486328 |
CREATE TABLE table_23268 ("Institution" CLOB, "Location" CLOB, "Nickname" CLOB, "Founded" FLOAT, "Type" CLOB, "Enrollment" FLOAT, "Joined" FLOAT)
| What's Babson College's enrollment? | SELECT MAX("Enrollment") FROM table_23268 WHERE "Institution" = 'Babson College' | SELECT MAX("Enrollment") FROM "table_23268" WHERE "Institution" = 'Babson College' | 0.080078 |
CREATE TABLE diagnosis (diagnosisid NUMBER, patientunitstayid NUMBER, diagnosisname CLOB, diagnosistime TIME, icd9code CLOB)
CREATE TABLE microlab (microlabid NUMBER, patientunitstayid NUMBER, culturesite CLOB, organism CLOB, culturetakentime TIME)
CREATE TABLE vitalperiodic (vitalperiodicid NUMBER, patientunitstayid NUMBER, temperature NUMBER, sao2 NUMBER, heartrate NUMBER, respiration NUMBER, systemicsystolic NUMBER, systemicdiastolic NUMBER, systemicmean NUMBER, observationtime TIME)
CREATE TABLE medication (medicationid NUMBER, patientunitstayid NUMBER, drugname CLOB, dosage CLOB, routeadmin CLOB, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE cost (costid NUMBER, uniquepid CLOB, patienthealthsystemstayid NUMBER, eventtype CLOB, eventid NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE patient (uniquepid CLOB, patienthealthsystemstayid NUMBER, patientunitstayid NUMBER, gender CLOB, age CLOB, ethnicity CLOB, hospitalid NUMBER, wardid NUMBER, admissionheight NUMBER, admissionweight NUMBER, dischargeweight NUMBER, hospitaladmittime TIME, hospitaladmitsource CLOB, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus CLOB)
CREATE TABLE allergy (allergyid NUMBER, patientunitstayid NUMBER, drugname CLOB, allergyname CLOB, allergytime TIME)
CREATE TABLE intakeoutput (intakeoutputid NUMBER, patientunitstayid NUMBER, cellpath CLOB, celllabel CLOB, cellvaluenumeric NUMBER, intakeoutputtime TIME)
CREATE TABLE lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime TIME)
CREATE TABLE treatment (treatmentid NUMBER, patientunitstayid NUMBER, treatmentname CLOB, treatmenttime TIME)
| what is the cost of a medication named dextrose 50 % in water (d50w) iv syringe? | SELECT DISTINCT cost.cost FROM cost WHERE cost.eventtype = 'medication' AND cost.eventid IN (SELECT medication.medicationid FROM medication WHERE medication.drugname = 'dextrose 50 % in water (d50w) iv syringe') | WITH "_u_0" AS (SELECT "medication"."medicationid" FROM "medication" WHERE "medication"."drugname" = 'dextrose 50 % in water (d50w) iv syringe' GROUP BY "medicationid") SELECT DISTINCT "cost"."cost" FROM "cost" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "cost"."eventid" WHERE "cost"."eventtype" = 'medication' AND NOT "_u_0"."" IS NULL | 0.324219 |
CREATE TABLE table_44330 ("Round" FLOAT, "Pick" FLOAT, "Player" CLOB, "Nationality" CLOB, "College" CLOB)
| What nationality has a pick greater than 129? | SELECT "Nationality" FROM table_44330 WHERE "Pick" > '129' | SELECT "Nationality" FROM "table_44330" WHERE "Pick" > '129' | 0.058594 |
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
| what is the number of patients whose admission year is less than 2138 and lab test name is folate? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.admityear < "2138" AND lab.label = "Folate" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "lab" ON "Folate" = "lab"."label" AND "demographic"."hadm_id" = "lab"."hadm_id" WHERE "2138" > "demographic"."admityear" | 0.189453 |
CREATE TABLE PendingFlags (Id NUMBER, FlagTypeId NUMBER, PostId NUMBER, CreationDate TIME, CloseReasonTypeId NUMBER, CloseAsOffTopicReasonTypeId NUMBER, DuplicateOfQuestionId NUMBER, BelongsOnBaseHostAddress CLOB)
CREATE TABLE PostsWithDeleted (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE VoteTypes (Id NUMBER, Name CLOB)
CREATE TABLE Posts (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId NUMBER)
CREATE TABLE PostHistoryTypes (Id NUMBER, Name CLOB)
CREATE TABLE SuggestedEditVotes (Id NUMBER, SuggestedEditId NUMBER, UserId NUMBER, VoteTypeId NUMBER, CreationDate TIME, TargetUserId NUMBER, TargetRepChange NUMBER)
CREATE TABLE Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
CREATE TABLE ReviewTaskResultTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId NUMBER)
CREATE TABLE TagSynonyms (Id NUMBER, SourceTagName CLOB, TargetTagName CLOB, CreationDate TIME, OwnerUserId NUMBER, AutoRenameCount NUMBER, LastAutoRename TIME, Score NUMBER, ApprovedByUserId NUMBER, ApprovalDate TIME)
CREATE TABLE Comments (Id NUMBER, PostId NUMBER, Score NUMBER, Text CLOB, CreationDate TIME, UserDisplayName CLOB, UserId NUMBER, ContentLicense CLOB)
CREATE TABLE Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
CREATE TABLE ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment CLOB)
CREATE TABLE Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount NUMBER)
CREATE TABLE FlagTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE SuggestedEdits (Id NUMBER, PostId NUMBER, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId NUMBER, Comment CLOB, Text CLOB, Title CLOB, Tags CLOB, RevisionGUID other)
CREATE TABLE PostHistory (Id NUMBER, PostHistoryTypeId NUMBER, PostId NUMBER, RevisionGUID other, CreationDate TIME, UserId NUMBER, UserDisplayName CLOB, Comment CLOB, Text CLOB, ContentLicense CLOB)
CREATE TABLE ReviewTaskTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
CREATE TABLE ReviewTaskStates (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
CREATE TABLE PostTypes (Id NUMBER, Name CLOB)
CREATE TABLE Users (Id NUMBER, Reputation NUMBER, CreationDate TIME, DisplayName CLOB, LastAccessDate TIME, WebsiteUrl CLOB, Location CLOB, AboutMe CLOB, Views NUMBER, UpVotes NUMBER, DownVotes NUMBER, ProfileImageUrl CLOB, EmailHash CLOB, AccountId NUMBER)
CREATE TABLE PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId NUMBER)
CREATE TABLE CloseAsOffTopicReasonTypes (Id NUMBER, IsUniversal BOOLEAN, InputTitle CLOB, MarkdownInputGuidance CLOB, MarkdownPostOwnerGuidance CLOB, MarkdownPrivilegedUserGuidance CLOB, MarkdownConcensusDescription CLOB, CreationDate TIME, CreationModeratorId NUMBER, ApprovalDate TIME, ApprovalModeratorId NUMBER, DeactivationDate TIME, DeactivationModeratorId NUMBER)
CREATE TABLE CloseReasonTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostTags (PostId NUMBER, TagId NUMBER)
CREATE TABLE PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
| Where are my questions answered with more votes than accepted answer. | SELECT A.Id AS "post_link", A.Score, MAX(OA.Score) AS "other max score", CASE WHEN MAX(OA.Score) - A.Score > 0 THEN '***' END AS "look here" FROM Posts AS Q JOIN Posts AS A ON (A.Id = Q.AcceptedAnswerId) LEFT JOIN Posts AS OA ON (Q.Id = OA.ParentId AND OA.Id != Q.AcceptedAnswerId) WHERE Q.OwnerUserId = '##UserId##' GROUP BY A.Id, A.Score ORDER BY A.Score | SELECT "A"."Id" AS "post_link", "A"."Score", MAX("OA"."Score") AS "other max score", CASE WHEN MAX("OA"."Score") - "A"."Score" > 0 THEN '***' END AS "look here" FROM "Posts" "Q" JOIN "Posts" "A" ON "A"."Id" = "Q"."AcceptedAnswerId" LEFT JOIN "Posts" "OA" ON "OA"."Id" <> "Q"."AcceptedAnswerId" AND "OA"."ParentId" = "Q"."Id" WHERE "Q"."OwnerUserId" = '##UserId##' GROUP BY "A"."Id", "A"."Score" ORDER BY "A"."Score" | 0.405273 |
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
| how many patients whose discharge location is snf and diagnoses long title is schizoaffective disorder, unspecified? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.discharge_location = "SNF" AND diagnoses.long_title = "Schizoaffective disorder, unspecified" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "Schizoaffective disorder, unspecified" = "diagnoses"."long_title" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" WHERE "SNF" = "demographic"."discharge_location" | 0.25 |
CREATE TABLE table_name_85 (hanja VARCHAR2, revised VARCHAR2)
| Tell me the hanja of eum | SELECT hanja FROM table_name_85 WHERE revised = "eum" | SELECT "hanja" FROM "table_name_85" WHERE "eum" = "revised" | 0.057617 |
CREATE TABLE admissions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, admittime TIME, dischtime TIME, admission_type CLOB, admission_location CLOB, discharge_location CLOB, insurance CLOB, language CLOB, marital_status CLOB, ethnicity CLOB, age NUMBER)
CREATE TABLE microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
CREATE TABLE transfers (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, eventtype CLOB, careunit CLOB, wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE prescriptions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, startdate TIME, enddate TIME, drug CLOB, dose_val_rx CLOB, dose_unit_rx CLOB, route CLOB)
CREATE TABLE labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
CREATE TABLE procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
CREATE TABLE patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
CREATE TABLE icustays (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, first_careunit CLOB, last_careunit CLOB, first_wardid NUMBER, last_wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
CREATE TABLE d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
| what's the name of the drug that patient 49036's been prescribed two times in 09/last year? | SELECT t1.drug FROM (SELECT prescriptions.drug, COUNT(prescriptions.startdate) AS c1 FROM prescriptions WHERE prescriptions.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 49036) AND DATETIME(prescriptions.startdate, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year') AND STRFTIME('%m', prescriptions.startdate) = '09' GROUP BY prescriptions.drug) AS t1 WHERE t1.c1 = 2 | WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 49036 GROUP BY "hadm_id"), "t1" AS (SELECT "prescriptions"."drug", COUNT("prescriptions"."startdate") AS "c1" FROM "prescriptions" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "prescriptions"."hadm_id" WHERE DATETIME("prescriptions"."startdate", 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year') AND NOT "_u_0"."" IS NULL AND STRFTIME('%m', "prescriptions"."startdate") = '09' GROUP BY "prescriptions"."drug") SELECT "t1"."drug" FROM "t1" "t1" WHERE "t1"."c1" = 2 | 0.563477 |
CREATE TABLE table_9870 ("Place" CLOB, "Player" CLOB, "Country" CLOB, "Score" CLOB, "To par" CLOB, "Money ( $ ) " CLOB)
| What Country is Gene Littler from? | SELECT "Country" FROM table_9870 WHERE "Player" = 'gene littler' | SELECT "Country" FROM "table_9870" WHERE "Player" = 'gene littler' | 0.064453 |
CREATE TABLE table_18593 ("District" CLOB, "Incumbent" CLOB, "Party" CLOB, "First elected" FLOAT, "Result" CLOB, "Candidates" CLOB)
| Which incumbent was first elected in 1940? | SELECT "Incumbent" FROM table_18593 WHERE "First elected" = '1940' | SELECT "Incumbent" FROM "table_18593" WHERE "First elected" = '1940' | 0.066406 |
CREATE TABLE table_15146 ("Kick Off" CLOB, "Opponents" CLOB, "H / A" CLOB, "Result" CLOB, "Referee" CLOB, "Report" CLOB)
| What is the result of the match with Lugo as the oponent with a H/A of h? | SELECT "Result" FROM table_15146 WHERE "Opponents" = 'lugo' AND "H / A" = 'h' | SELECT "Result" FROM "table_15146" WHERE "H / A" = 'h' AND "Opponents" = 'lugo' | 0.077148 |
CREATE TABLE table_35210 ("Pos." FLOAT, "Car #" FLOAT, "Driver" CLOB, "Make" CLOB, "Team" CLOB)
| Which team has a car # before 99, a Toyota, and is driven by Mike Skinner? | SELECT "Team" FROM table_35210 WHERE "Car #" < '99' AND "Make" = 'toyota' AND "Driver" = 'mike skinner' | SELECT "Team" FROM "table_35210" WHERE "Car #" < '99' AND "Driver" = 'mike skinner' AND "Make" = 'toyota' | 0.102539 |
CREATE TABLE table_name_16 (color_commentator_s_ VARCHAR2, year VARCHAR2)
| Who is the color commentator in 2008? | SELECT color_commentator_s_ FROM table_name_16 WHERE year = 2008 | SELECT "color_commentator_s_" FROM "table_name_16" WHERE "year" = 2008 | 0.068359 |
CREATE TABLE table_name_40 (attendance NUMBER, date VARCHAR2)
| on april 9 what was the attendance? | SELECT AVG(attendance) FROM table_name_40 WHERE date = "april 9" | SELECT AVG("attendance") FROM "table_name_40" WHERE "april 9" = "date" | 0.068359 |
CREATE TABLE customers (customer_id NUMBER, customer_first_name CLOB, customer_last_name CLOB, customer_address CLOB, customer_phone CLOB, customer_email CLOB, other_customer_details CLOB)
CREATE TABLE financial_transactions (transaction_id NUMBER, previous_transaction_id NUMBER, account_id NUMBER, card_id NUMBER, transaction_type CLOB, transaction_date TIME, transaction_amount NUMBER, transaction_comment CLOB, other_transaction_details CLOB)
CREATE TABLE customers_cards (card_id NUMBER, customer_id NUMBER, card_type_code CLOB, card_number CLOB, date_valid_from TIME, date_valid_to TIME, other_card_details CLOB)
CREATE TABLE accounts (account_id NUMBER, customer_id NUMBER, account_name CLOB, other_account_details CLOB)
| Return the id and full name of the customer who has the fewest accounts. | SELECT T1.customer_id, T2.customer_first_name, T2.customer_last_name FROM customers_cards AS T1 JOIN customers AS T2 ON T1.customer_id = T2.customer_id GROUP BY T1.customer_id ORDER BY COUNT(*) LIMIT 1 | SELECT "T1"."customer_id", "T2"."customer_first_name", "T2"."customer_last_name" FROM "customers_cards" "T1" JOIN "customers" "T2" ON "T1"."customer_id" = "T2"."customer_id" GROUP BY "T1"."customer_id" ORDER BY COUNT(*) FETCH FIRST 1 ROWS ONLY | 0.237305 |
CREATE TABLE Movie (mID NUMBER, title CLOB, year NUMBER, director CLOB)
CREATE TABLE Rating (rID NUMBER, mID NUMBER, stars NUMBER, ratingDate DATE)
CREATE TABLE Reviewer (rID NUMBER, name CLOB)
| Visualize the title and their average smallest ratings of the movie using a bar chart. | SELECT T2.title, AVG(MIN(T1.stars)) FROM Rating AS T1 JOIN Movie AS T2 ON T1.mID = T2.mID GROUP BY T2.title | SELECT "T2"."title", AVG(MIN("T1"."stars")) FROM "Rating" "T1" JOIN "Movie" "T2" ON "T1"."mID" = "T2"."mID" GROUP BY "T2"."title" | 0.125977 |
CREATE TABLE table_65654 ("Millewa" CLOB, "Wins" FLOAT, "Byes" FLOAT, "Losses" FLOAT, "Draws" FLOAT, "Against" FLOAT)
| Can you tell me the average Wins that has the Against of 1132, and the Losses smaller than 7? | SELECT AVG("Wins") FROM table_65654 WHERE "Against" = '1132' AND "Losses" < '7' | SELECT AVG("Wins") FROM "table_65654" WHERE "Against" = '1132' AND "Losses" < '7' | 0.079102 |
CREATE TABLE table_66302 ("Heat" FLOAT, "Lane" FLOAT, "Name" CLOB, "Nationality" CLOB, "Time" CLOB)
| What lane number was Hungary and had a heat of 4? | SELECT COUNT("Lane") FROM table_66302 WHERE "Heat" = '4' AND "Nationality" = 'hungary' | SELECT COUNT("Lane") FROM "table_66302" WHERE "Heat" = '4' AND "Nationality" = 'hungary' | 0.085938 |
CREATE TABLE table_10493 ("Date" CLOB, "Champion" CLOB, "2nd Place" CLOB, "Score" CLOB, "Stadium" CLOB)
| What was the score when the Vikings won the championship at Namyangju Stadium? | SELECT "Score" FROM table_10493 WHERE "Champion" = 'vikings' AND "Stadium" = 'namyangju stadium' | SELECT "Score" FROM "table_10493" WHERE "Champion" = 'vikings' AND "Stadium" = 'namyangju stadium' | 0.095703 |
CREATE TABLE table_1213511_3 (position VARCHAR2, nhl_team VARCHAR2)
| What is the position listed for the team the Philadelphia Flyers? | SELECT position FROM table_1213511_3 WHERE nhl_team = "Philadelphia Flyers" | SELECT "position" FROM "table_1213511_3" WHERE "Philadelphia Flyers" = "nhl_team" | 0.079102 |
CREATE TABLE table_55436 ("Date" CLOB, "Opponent" CLOB, "Venue" CLOB, "Result" CLOB, "Attendance" FLOAT)
| What is the lowest Attendance when Middlesbrough played at Venue A? | SELECT MIN("Attendance") FROM table_55436 WHERE "Opponent" = 'middlesbrough' AND "Venue" = 'a' | SELECT MIN("Attendance") FROM "table_55436" WHERE "Opponent" = 'middlesbrough' AND "Venue" = 'a' | 0.09375 |
CREATE TABLE hall_of_fame (player_id CLOB, yearid NUMBER, votedby CLOB, ballots CLOB, needed CLOB, votes CLOB, inducted CLOB, category CLOB, needed_note CLOB)
CREATE TABLE player_award (player_id CLOB, award_id CLOB, year NUMBER, league_id CLOB, tie CLOB, notes CLOB)
CREATE TABLE player (player_id CLOB, birth_year CLOB, birth_month CLOB, birth_day CLOB, birth_country CLOB, birth_state CLOB, birth_city CLOB, death_year CLOB, death_month CLOB, death_day CLOB, death_country CLOB, death_state CLOB, death_city CLOB, name_first CLOB, name_last CLOB, name_given CLOB, weight CLOB)
CREATE TABLE player_award_vote (award_id CLOB, year NUMBER, league_id CLOB, player_id CLOB, points_won NUMBER, points_max NUMBER, votes_first CLOB)
CREATE TABLE salary (year NUMBER, team_id CLOB, league_id CLOB, player_id CLOB, salary NUMBER)
| What are the birth places of players won on hall of fame since 1871? | SELECT T1.birth_country FROM hall_of_fame AS T2 JOIN player AS T1 ON T1.player_id = T2.player_id WHERE T2.inducted = "Y" AND T2.yearid >= 1871 | SELECT "T1"."birth_country" FROM "hall_of_fame" "T2" JOIN "player" "T1" ON "T1"."player_id" = "T2"."player_id" WHERE "T2"."inducted" = "Y" AND "T2"."yearid" >= 1871 | 0.160156 |
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
| get the number of asian patients who have prescription for dorzolamide 2%/timolol 0.5% ophthalmic solution. | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.ethnicity = "ASIAN" AND prescriptions.drug = "Dorzolamide 2%/Timolol 0.5% Ophth." | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "prescriptions" ON "Dorzolamide 2%/Timolol 0.5% Ophth." = "prescriptions"."drug" AND "demographic"."hadm_id" = "prescriptions"."hadm_id" WHERE "ASIAN" = "demographic"."ethnicity" | 0.246094 |
CREATE TABLE table_27961684_1 (institution VARCHAR2, team_name VARCHAR2)
| How many institutes have the team name Spartans? | SELECT COUNT(institution) FROM table_27961684_1 WHERE team_name = "Spartans" | SELECT COUNT("institution") FROM "table_27961684_1" WHERE "Spartans" = "team_name" | 0.080078 |
CREATE TABLE table_204_387 (id NUMBER, "name" CLOB, "country" CLOB, "top rugby league level" CLOB, "top union level" CLOB, "top representation level" CLOB, "rugby league debut" NUMBER, "rugby union debut" NUMBER)
| whose name is listed after lee smith ? | SELECT "name" FROM table_204_387 WHERE id = (SELECT id FROM table_204_387 WHERE "name" = 'lee smith') + 1 | SELECT "name" FROM "table_204_387" WHERE "id" = (SELECT "id" FROM "table_204_387" WHERE "name" = 'lee smith') + 1 | 0.110352 |
CREATE TABLE party_host (party_id NUMBER, host_id NUMBER, is_main_in_charge others)
CREATE TABLE party (party_id NUMBER, party_theme CLOB, location CLOB, first_year CLOB, last_year CLOB, number_of_hosts NUMBER)
CREATE TABLE host (host_id NUMBER, name CLOB, nationality CLOB, age CLOB)
| What are the first year and last year of the parties whose theme is 'Spring' or 'Teqnology'? | SELECT first_year, last_year FROM party WHERE party_theme = "Spring" OR party_theme = "Teqnology" | SELECT "first_year", "last_year" FROM "party" WHERE "Spring" = "party_theme" OR "Teqnology" = "party_theme" | 0.104492 |
CREATE TABLE customers (customer_id NUMBER, customer_name CLOB)
CREATE TABLE available_policies (policy_id NUMBER, policy_type_code CLOB, customer_phone CLOB)
CREATE TABLE services (service_id NUMBER, service_name CLOB)
CREATE TABLE first_notification_of_loss (fnol_id NUMBER, customer_id NUMBER, policy_id NUMBER, service_id NUMBER)
CREATE TABLE settlements (settlement_id NUMBER, claim_id NUMBER, effective_date TIME, settlement_amount NUMBER)
CREATE TABLE claims (claim_id NUMBER, fnol_id NUMBER, effective_date TIME)
CREATE TABLE customers_policies (customer_id NUMBER, policy_id NUMBER, date_opened TIME, date_closed TIME)
| Find all the phone numbers. | SELECT customer_phone FROM available_policies | SELECT "customer_phone" FROM "available_policies" | 0.047852 |
CREATE TABLE Payments (Payment_ID NUMBER, Settlement_ID NUMBER, Payment_Method_Code VARCHAR2, Date_Payment_Made DATE, Amount_Payment NUMBER)
CREATE TABLE Claims (Claim_ID NUMBER, Policy_ID NUMBER, Date_Claim_Made DATE, Date_Claim_Settled DATE, Amount_Claimed NUMBER, Amount_Settled NUMBER)
CREATE TABLE Customer_Policies (Policy_ID NUMBER, Customer_ID NUMBER, Policy_Type_Code CHAR, Start_Date DATE, End_Date DATE)
CREATE TABLE Customers (Customer_ID NUMBER, Customer_Details VARCHAR2)
CREATE TABLE Settlements (Settlement_ID NUMBER, Claim_ID NUMBER, Date_Claim_Made DATE, Date_Claim_Settled DATE, Amount_Claimed NUMBER, Amount_Settled NUMBER, Customer_Policy_ID NUMBER)
| Which Payments were processed with Visa? List the date and the amount using a bar chart, and could you show in desc by the bar please? | SELECT Date_Payment_Made, Amount_Payment FROM Payments WHERE Payment_Method_Code = 'Visa' ORDER BY Date_Payment_Made DESC | SELECT "Date_Payment_Made", "Amount_Payment" FROM "Payments" WHERE "Payment_Method_Code" = 'Visa' ORDER BY "Date_Payment_Made" DESC | 0.12793 |
CREATE TABLE AssignedTo (Scientist NUMBER, Project CHAR)
CREATE TABLE Scientists (SSN NUMBER, Name CHAR)
CREATE TABLE Projects (Code CHAR, Name CHAR, Hours NUMBER)
| Find the name of the project for which a scientist whose name contains Smith is assigned to, and count them by a bar chart, and show by the how many name in descending please. | SELECT T2.Name, COUNT(T2.Name) FROM AssignedTo AS T1 JOIN Projects AS T2 ON T1.Project = T2.Code JOIN Scientists AS T3 ON T1.Scientist = T3.SSN WHERE T3.Name LIKE '%Smith%' GROUP BY T2.Name ORDER BY COUNT(T2.Name) DESC | SELECT "T2"."Name", COUNT("T2"."Name") FROM "AssignedTo" "T1" JOIN "Projects" "T2" ON "T1"."Project" = "T2"."Code" JOIN "Scientists" "T3" ON "T1"."Scientist" = "T3"."SSN" AND "T3"."Name" LIKE '%Smith%' GROUP BY "T2"."Name" ORDER BY COUNT("T2"."Name") DESC | 0.249023 |
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