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CREATE TABLE People (person_id NUMBER, first_name VARCHAR2, middle_name VARCHAR2, last_name VARCHAR2, cell_mobile_number VARCHAR2, email_address VARCHAR2, login_name VARCHAR2, password VARCHAR2)
CREATE TABLE Student_Course_Attendance (student_id NUMBER, course_id NUMBER, date_of_attendance DATETIME)
CREATE TABLE Addresses (address_id NUMBER, line_1 VARCHAR2, line_2 VARCHAR2, city VARCHAR2, zip_postcode CHAR, state_province_county VARCHAR2, country VARCHAR2)
CREATE TABLE Student_Course_Registrations (student_id NUMBER, course_id NUMBER, registration_date DATETIME)
CREATE TABLE Candidate_Assessments (candidate_id NUMBER, qualification CHAR, assessment_date DATETIME, asessment_outcome_code CHAR)
CREATE TABLE Candidates (candidate_id NUMBER, candidate_details VARCHAR2)
CREATE TABLE Courses (course_id VARCHAR2, course_name VARCHAR2, course_description VARCHAR2, other_details VARCHAR2)
CREATE TABLE People_Addresses (person_address_id NUMBER, person_id NUMBER, address_id NUMBER, date_from DATETIME, date_to DATETIME)
CREATE TABLE Students (student_id NUMBER, student_details VARCHAR2)
| Give me a pie chart show the proportion of the number of course names in the course table. | SELECT course_name, COUNT(course_name) FROM Courses GROUP BY course_name | SELECT "course_name", COUNT("course_name") FROM "Courses" GROUP BY "course_name" | 0.078125 |
CREATE TABLE table_name_32 (country VARCHAR2, money___$__ VARCHAR2, player VARCHAR2)
| Which country is Pete Cooper, who made $816, from? | SELECT country FROM table_name_32 WHERE money___$__ = 816 AND player = "pete cooper" | SELECT "country" FROM "table_name_32" WHERE "money___$__" = 816 AND "pete cooper" = "player" | 0.089844 |
CREATE TABLE table_24747844_2 (cuts_made NUMBER, player VARCHAR2)
| What is the minimum number of cuts made for Hunter Mahan? | SELECT MIN(cuts_made) FROM table_24747844_2 WHERE player = "Hunter Mahan" | SELECT MIN("cuts_made") FROM "table_24747844_2" WHERE "Hunter Mahan" = "player" | 0.077148 |
CREATE TABLE microlab (microlabid NUMBER, patientunitstayid NUMBER, culturesite CLOB, organism CLOB, culturetakentime TIME)
CREATE TABLE diagnosis (diagnosisid NUMBER, patientunitstayid NUMBER, diagnosisname CLOB, diagnosistime TIME, icd9code CLOB)
CREATE TABLE 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 vitalperiodic (vitalperiodicid NUMBER, patientunitstayid NUMBER, temperature NUMBER, sao2 NUMBER, heartrate NUMBER, respiration NUMBER, systemicsystolic NUMBER, systemicdiastolic NUMBER, systemicmean NUMBER, observationtime TIME)
CREATE TABLE treatment (treatmentid NUMBER, patientunitstayid NUMBER, treatmentname CLOB, treatmenttime TIME)
CREATE TABLE lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime TIME)
CREATE TABLE medication (medicationid NUMBER, patientunitstayid NUMBER, drugname CLOB, dosage CLOB, routeadmin CLOB, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE intakeoutput (intakeoutputid NUMBER, patientunitstayid NUMBER, cellpath CLOB, celllabel CLOB, cellvaluenumeric NUMBER, intakeoutputtime TIME)
CREATE TABLE allergy (allergyid NUMBER, patientunitstayid NUMBER, drugname CLOB, allergyname CLOB, allergytime TIME)
| what was the last esophagitis diagnosis time of patient 030-77189 on their first hospital encounter? | SELECT 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 = '030-77189' AND NOT patient.hospitaldischargetime IS NULL ORDER BY patient.hospitaladmittime LIMIT 1)) AND diagnosis.diagnosisname = 'esophagitis' ORDER BY diagnosis.diagnosistime DESC LIMIT 1 | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '030-77189' AND NOT "patient"."hospitaldischargetime" IS NULL GROUP BY "patienthealthsystemstayid" ORDER BY "patient"."hospitaladmittime" FETCH FIRST 1 ROWS ONLY), "_u_1" AS (SELECT "patient"."patientunitstayid" FROM "patient" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "patient"."patienthealthsystemstayid" WHERE NOT "_u_0"."" IS NULL GROUP BY "patientunitstayid") SELECT "diagnosis"."diagnosistime" FROM "diagnosis" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "diagnosis"."patientunitstayid" WHERE "diagnosis"."diagnosisname" = 'esophagitis' AND NOT "_u_1"."" IS NULL ORDER BY "diagnosis"."diagnosistime" DESC FETCH FIRST 1 ROWS ONLY | 0.714844 |
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 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 microlab (microlabid NUMBER, patientunitstayid NUMBER, culturesite CLOB, organism CLOB, culturetakentime TIME)
CREATE TABLE treatment (treatmentid NUMBER, patientunitstayid NUMBER, treatmentname CLOB, treatmenttime TIME)
CREATE TABLE cost (costid NUMBER, uniquepid CLOB, patienthealthsystemstayid NUMBER, eventtype CLOB, eventid NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE allergy (allergyid NUMBER, patientunitstayid NUMBER, drugname CLOB, allergyname CLOB, allergytime TIME)
CREATE TABLE medication (medicationid NUMBER, patientunitstayid NUMBER, drugname CLOB, dosage CLOB, routeadmin CLOB, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE diagnosis (diagnosisid NUMBER, patientunitstayid NUMBER, diagnosisname CLOB, diagnosistime TIME, icd9code CLOB)
CREATE TABLE intakeoutput (intakeoutputid NUMBER, patientunitstayid NUMBER, cellpath CLOB, celllabel CLOB, cellvaluenumeric NUMBER, intakeoutputtime TIME)
CREATE TABLE lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime TIME)
| what's the cost for a t4 laboratory test? | SELECT DISTINCT cost.cost FROM cost WHERE cost.eventtype = 'lab' AND cost.eventid IN (SELECT lab.labid FROM lab WHERE lab.labname = 't4') | WITH "_u_0" AS (SELECT "lab"."labid" FROM "lab" WHERE "lab"."labname" = 't4' GROUP BY "labid") SELECT DISTINCT "cost"."cost" FROM "cost" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "cost"."eventid" WHERE "cost"."eventtype" = 'lab' AND NOT "_u_0"."" IS NULL | 0.245117 |
CREATE TABLE table_name_71 (party VARCHAR2, results_2004 VARCHAR2)
| Who had 0.00% in 2004? | SELECT party FROM table_name_71 WHERE results_2004 = "0.00%" | SELECT "party" FROM "table_name_71" WHERE "0.00%" = "results_2004" | 0.064453 |
CREATE TABLE table_name_62 (venue VARCHAR2, away_team VARCHAR2)
| Where did Geelong play as the away team? | SELECT venue FROM table_name_62 WHERE away_team = "geelong" | SELECT "venue" FROM "table_name_62" WHERE "away_team" = "geelong" | 0.063477 |
CREATE TABLE table_1342218_5 (district VARCHAR2, result VARCHAR2, incumbent VARCHAR2)
| Which district has the incumbent Wilbur Mills and a re-elected result? | SELECT district FROM table_1342218_5 WHERE result = "Re-elected" AND incumbent = "Wilbur Mills" | SELECT "district" FROM "table_1342218_5" WHERE "Re-elected" = "result" AND "Wilbur Mills" = "incumbent" | 0.100586 |
CREATE TABLE table_name_98 (duration VARCHAR2, soap_opera VARCHAR2, actor VARCHAR2)
| What's the duration of the Archers with Norman Painting as an actor? | SELECT duration FROM table_name_98 WHERE soap_opera = "the archers" AND actor = "norman painting" | SELECT "duration" FROM "table_name_98" WHERE "actor" = "norman painting" AND "soap_opera" = "the archers" | 0.102539 |
CREATE TABLE table_7129 ("Television service" CLOB, "Country" CLOB, "Language" CLOB, "Content" CLOB, "HDTV" CLOB, "Package/Option" CLOB)
| What is the HDTV when the content is general television? | SELECT "HDTV" FROM table_7129 WHERE "Content" = 'general television' | SELECT "HDTV" FROM "table_7129" WHERE "Content" = 'general television' | 0.068359 |
CREATE TABLE table_41758 ("Driver" CLOB, "Wins" FLOAT, "Starts" FLOAT, "Sprint" FLOAT, "Feature" FLOAT)
| How many features did Adam Carroll win 6 times when the start was larger than 32? | SELECT COUNT("Feature") FROM table_41758 WHERE "Wins" = '6' AND "Driver" = 'adam carroll' AND "Starts" > '32' | SELECT COUNT("Feature") FROM "table_41758" WHERE "Driver" = 'adam carroll' AND "Starts" > '32' AND "Wins" = '6' | 0.108398 |
CREATE TABLE table_name_98 (game VARCHAR2, result VARCHAR2)
| What game had the result of 112-100? | SELECT game FROM table_name_98 WHERE result = "112-100" | SELECT "game" FROM "table_name_98" WHERE "112-100" = "result" | 0.05957 |
CREATE TABLE table_2160215_1 (original_japanese VARCHAR2, english___manga_uk__ VARCHAR2)
| Who was the original Japanese cast if Sean Barrett acted on the English (Manga UK) version? | SELECT original_japanese FROM table_2160215_1 WHERE english___manga_uk__ = "Sean Barrett" | SELECT "original_japanese" FROM "table_2160215_1" WHERE "Sean Barrett" = "english___manga_uk__" | 0.092773 |
CREATE TABLE table_204_881 (id NUMBER, "round" NUMBER, "date" CLOB, "score" CLOB, "opponent" CLOB, "opponent's score" CLOB, "result" CLOB, "venue" CLOB, "attendance" NUMBER, "best on ground" CLOB, "team" CLOB)
| who was the opponent after hawthorn ? | SELECT "opponent" FROM table_204_881 WHERE id = (SELECT id FROM table_204_881 WHERE "opponent" = 'hawthorn') + 1 | SELECT "opponent" FROM "table_204_881" WHERE "id" = (SELECT "id" FROM "table_204_881" WHERE "opponent" = 'hawthorn') + 1 | 0.117188 |
CREATE TABLE table_204_258 (id NUMBER, "location" CLOB, "frequency" NUMBER, "call sign" CLOB, "network" CLOB, "call sign meaning" CLOB)
| how many more news and classical stations are there than roots , rock and jazz stations ? | SELECT (SELECT COUNT(*) FROM table_204_258 WHERE "network" = 'news and classical') - (SELECT COUNT(*) FROM table_204_258 WHERE "network" = 'roots, rock, and jazz') | WITH "_u_0" AS (SELECT COUNT(*), 'news and classical' AS "_u_1" FROM "table_204_258" GROUP BY 'news and classical'), "_u_2" AS (SELECT COUNT(*), 'roots, rock, and jazz' AS "_u_3" FROM "table_204_258" GROUP BY 'roots, rock, and jazz') SELECT COALESCE("_u_0"."", *) - COALESCE("_u_2"."", *) LEFT JOIN "_u_0" "_u_0" ON "_u_0"."_u_1" = "network" LEFT JOIN "_u_2" "_u_2" ON "_u_2"."_u_3" = "network" | 0.384766 |
CREATE TABLE table_name_44 (catalog VARCHAR2, date VARCHAR2)
| Which catalog has a date of 24 march 2006? | SELECT catalog FROM table_name_44 WHERE date = "24 march 2006" | SELECT "catalog" FROM "table_name_44" WHERE "24 march 2006" = "date" | 0.066406 |
CREATE TABLE table_24405 ("Team name" CLOB, "Races" FLOAT, "Won" FLOAT, "RR1 Pts." FLOAT, "RR2 Pts." FLOAT, "RR3 Pts." FLOAT, "RR4 Pts." CLOB, "Total Pts." FLOAT, "Ranking" FLOAT)
| When spanish challenge is the team name what are the rr1 points? | SELECT "RR1 Pts." FROM table_24405 WHERE "Team name" = 'Spanish Challenge' | SELECT "RR1 Pts." FROM "table_24405" WHERE "Team name" = 'Spanish Challenge' | 0.074219 |
CREATE TABLE table_32883 ("Driver" CLOB, "Constructor" CLOB, "Laps" FLOAT, "Time/Retired" CLOB, "Grid" FLOAT)
| What is the time/retired for grid 8? | SELECT "Time/Retired" FROM table_32883 WHERE "Grid" = '8' | SELECT "Time/Retired" FROM "table_32883" WHERE "Grid" = '8' | 0.057617 |
CREATE TABLE table_200_1 (id NUMBER, "year" NUMBER, "title" CLOB, "role" CLOB, "notes" CLOB)
| what year was the film polio water released ? | SELECT "year" FROM table_200_1 WHERE "title" = 'polio water' | SELECT "year" FROM "table_200_1" WHERE "title" = 'polio water' | 0.060547 |
CREATE TABLE table_18994 ("Abbr." CLOB, "Name" CLOB, "Picture Coding Types" CLOB, "Chroma Format" CLOB, "Aspect Ratios" CLOB, "Scalable modes" CLOB, "Intra DC Precision" CLOB)
| how many chroma format with name being high profile | SELECT COUNT("Chroma Format") FROM table_18994 WHERE "Name" = 'High profile' | SELECT COUNT("Chroma Format") FROM "table_18994" WHERE "Name" = 'High profile' | 0.076172 |
CREATE TABLE table_30479 ("No. in series" FLOAT, "No. in season" FLOAT, "Title" CLOB, "Directed by" CLOB, "Written by" CLOB, "Original air date" CLOB, "Production code" FLOAT, "U.S. viewers ( millions ) " CLOB)
| What air date had 1.01 million U.S. viewers? | SELECT "Original air date" FROM table_30479 WHERE "U.S. viewers (millions)" = '1.01' | SELECT "Original air date" FROM "table_30479" WHERE "U.S. viewers (millions)" = '1.01' | 0.083984 |
CREATE TABLE table_70821 ("Club" CLOB, "Played" CLOB, "Drawn" CLOB, "Lost" CLOB, "Try BP" CLOB, "Losing BP" CLOB)
| Name the Drawn for Ystrad Rhondda RFC and has Played of 22. | SELECT "Drawn" FROM table_70821 WHERE "Played" = '22' AND "Club" = 'ystrad rhondda rfc' | SELECT "Drawn" FROM "table_70821" WHERE "Club" = 'ystrad rhondda rfc' AND "Played" = '22' | 0.086914 |
CREATE TABLE table_name_54 (rowers VARCHAR2, country VARCHAR2)
| Who are the rowers for Australia? | SELECT rowers FROM table_name_54 WHERE country = "australia" | SELECT "rowers" FROM "table_name_54" WHERE "australia" = "country" | 0.064453 |
CREATE TABLE table_name_14 (Id VARCHAR2)
| Tell me the 2007 for 2010 olympic games | SELECT 2007 FROM table_name_14 WHERE 2010 = "olympic games" | SELECT 2007 FROM "table_name_14" WHERE "olympic games" = 2010 | 0.05957 |
CREATE TABLE treatment (treatmentid NUMBER, patientunitstayid NUMBER, treatmentname CLOB, treatmenttime TIME)
CREATE TABLE allergy (allergyid NUMBER, patientunitstayid NUMBER, drugname CLOB, allergyname CLOB, allergytime TIME)
CREATE TABLE lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime TIME)
CREATE TABLE diagnosis (diagnosisid NUMBER, patientunitstayid NUMBER, diagnosisname CLOB, diagnosistime TIME, icd9code CLOB)
CREATE TABLE intakeoutput (intakeoutputid NUMBER, patientunitstayid NUMBER, cellpath CLOB, celllabel CLOB, cellvaluenumeric NUMBER, intakeoutputtime TIME)
CREATE TABLE microlab (microlabid NUMBER, patientunitstayid NUMBER, culturesite CLOB, organism CLOB, culturetakentime TIME)
CREATE TABLE patient (uniquepid CLOB, patienthealthsystemstayid NUMBER, patientunitstayid NUMBER, gender CLOB, age CLOB, ethnicity CLOB, hospitalid NUMBER, wardid NUMBER, admissionheight NUMBER, admissionweight NUMBER, dischargeweight NUMBER, hospitaladmittime TIME, hospitaladmitsource CLOB, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus CLOB)
CREATE TABLE medication (medicationid NUMBER, patientunitstayid NUMBER, drugname CLOB, dosage CLOB, routeadmin CLOB, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE vitalperiodic (vitalperiodicid NUMBER, patientunitstayid NUMBER, temperature NUMBER, sao2 NUMBER, heartrate NUMBER, respiration NUMBER, systemicsystolic NUMBER, systemicdiastolic NUMBER, systemicmean NUMBER, observationtime TIME)
CREATE TABLE cost (costid NUMBER, uniquepid CLOB, patienthealthsystemstayid NUMBER, eventtype CLOB, eventid NUMBER, chargetime TIME, cost NUMBER)
| when was patient 016-25367 last diagnosed with alcohol withdrawal? | SELECT 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 = '016-25367')) AND diagnosis.diagnosisname = 'alcohol withdrawal' ORDER BY diagnosis.diagnosistime DESC LIMIT 1 | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '016-25367' GROUP BY "patienthealthsystemstayid"), "_u_1" AS (SELECT "patient"."patientunitstayid" FROM "patient" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "patient"."patienthealthsystemstayid" WHERE NOT "_u_0"."" IS NULL GROUP BY "patientunitstayid") SELECT "diagnosis"."diagnosistime" FROM "diagnosis" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "diagnosis"."patientunitstayid" WHERE "diagnosis"."diagnosisname" = 'alcohol withdrawal' AND NOT "_u_1"."" IS NULL ORDER BY "diagnosis"."diagnosistime" DESC FETCH FIRST 1 ROWS ONLY | 0.611328 |
CREATE TABLE table_38958 ("Player" CLOB, "Touchdowns" FLOAT, "Extra points" FLOAT, "Field goals" FLOAT, "Points" FLOAT)
| Which Extra points is the lowest one that has a Player of ross kidston, and Points smaller than 5? | SELECT MIN("Extra points") FROM table_38958 WHERE "Player" = 'ross kidston' AND "Points" < '5' | SELECT MIN("Extra points") FROM "table_38958" WHERE "Player" = 'ross kidston' AND "Points" < '5' | 0.09375 |
CREATE TABLE table_10650711_1 (nfl_team VARCHAR2, player VARCHAR2)
| what's the nfl team where player is clifford charlton | SELECT nfl_team FROM table_10650711_1 WHERE player = "Clifford Charlton" | SELECT "nfl_team" FROM "table_10650711_1" WHERE "Clifford Charlton" = "player" | 0.076172 |
CREATE TABLE table_name_47 (tournament VARCHAR2)
| What tournament has a 2003 of a? | SELECT tournament FROM table_name_47 WHERE 2003 = "a" | SELECT "tournament" FROM "table_name_47" WHERE "a" = 2003 | 0.055664 |
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 PostHistory (Id NUMBER, PostHistoryTypeId NUMBER, PostId NUMBER, RevisionGUID other, CreationDate TIME, UserId NUMBER, UserDisplayName CLOB, Comment CLOB, Text CLOB, ContentLicense CLOB)
CREATE TABLE PostTypes (Id NUMBER, Name CLOB)
CREATE TABLE ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId NUMBER)
CREATE TABLE Posts (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment CLOB)
CREATE TABLE PostHistoryTypes (Id NUMBER, Name CLOB)
CREATE TABLE Users (Id NUMBER, Reputation NUMBER, CreationDate TIME, DisplayName CLOB, LastAccessDate TIME, WebsiteUrl CLOB, Location CLOB, AboutMe CLOB, Views NUMBER, UpVotes NUMBER, DownVotes NUMBER, ProfileImageUrl CLOB, EmailHash CLOB, AccountId NUMBER)
CREATE TABLE PostTags (PostId NUMBER, TagId NUMBER)
CREATE TABLE SuggestedEdits (Id NUMBER, PostId NUMBER, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId NUMBER, Comment CLOB, Text CLOB, Title CLOB, Tags CLOB, RevisionGUID other)
CREATE TABLE Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
CREATE TABLE VoteTypes (Id NUMBER, Name CLOB)
CREATE TABLE ReviewTaskTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE FlagTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE ReviewTaskStates (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE CloseAsOffTopicReasonTypes (Id NUMBER, IsUniversal BOOLEAN, InputTitle CLOB, MarkdownInputGuidance CLOB, MarkdownPostOwnerGuidance CLOB, MarkdownPrivilegedUserGuidance CLOB, MarkdownConcensusDescription CLOB, CreationDate TIME, CreationModeratorId NUMBER, ApprovalDate TIME, ApprovalModeratorId NUMBER, DeactivationDate TIME, DeactivationModeratorId NUMBER)
CREATE TABLE PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
CREATE TABLE PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
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 SuggestedEditVotes (Id NUMBER, SuggestedEditId NUMBER, UserId NUMBER, VoteTypeId NUMBER, CreationDate TIME, TargetUserId NUMBER, TargetRepChange NUMBER)
CREATE TABLE ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
CREATE TABLE PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId NUMBER)
CREATE TABLE Comments (Id NUMBER, PostId NUMBER, Score NUMBER, Text CLOB, CreationDate TIME, UserDisplayName CLOB, UserId NUMBER, ContentLicense CLOB)
CREATE TABLE PendingFlags (Id NUMBER, FlagTypeId NUMBER, PostId NUMBER, CreationDate TIME, CloseReasonTypeId NUMBER, CloseAsOffTopicReasonTypeId NUMBER, DuplicateOfQuestionId NUMBER, BelongsOnBaseHostAddress CLOB)
CREATE TABLE PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId NUMBER)
CREATE TABLE PostsWithDeleted (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE ReviewTaskResultTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount NUMBER)
| My comments on posts edited by owner after comment ('It's-a me!' hat). https://winterbash2018.stackexchange.com/itsa-me | SELECT Comment.Id AS "comment_link", MAX(Comment.Score) AS "score", MAX(Post.Id) AS "post_link", MAX(Type.Name) AS "type", MAX(Post.OwnerUserId) AS "user_link", MAX(Post.CreationDate) AS "posted", MAX(Comment.CreationDate) AS "commented", MIN(Edit.CreationDate) AS "edited" FROM Comments AS Comment JOIN Posts AS Post ON Post.Id = Comment.PostId JOIN PostHistory AS Edit ON Edit.PostId = Post.Id LEFT JOIN PostTypes AS Type ON Type.Id = Post.PostTypeId WHERE Comment.UserId = '##UserId:int##' AND Post.OwnerUserId != '##UserId:int##' AND Edit.CreationDate > Comment.CreationDate AND Edit.UserId = Post.OwnerUserId AND Edit.PostHistoryTypeId IN (4, 5, 6) GROUP BY Comment.Id ORDER BY Comment.Id | SELECT "Comment"."Id" AS "comment_link", MAX("Comment"."Score") AS "score", MAX("Post"."Id") AS "post_link", MAX("Type"."Name") AS "type", MAX("Post"."OwnerUserId") AS "user_link", MAX("Post"."CreationDate") AS "posted", MAX("Comment"."CreationDate") AS "commented", MIN("Edit"."CreationDate") AS "edited" FROM "Comments" "Comment" JOIN "Posts" "Post" ON "Comment"."PostId" = "Post"."Id" AND "Post"."OwnerUserId" <> '##UserId:int##' JOIN "PostHistory" "Edit" ON "Comment"."CreationDate" < "Edit"."CreationDate" AND "Edit"."PostHistoryTypeId" IN (4, 5, 6) AND "Edit"."PostId" = "Post"."Id" AND "Edit"."UserId" = "Post"."OwnerUserId" LEFT JOIN "PostTypes" "Type" ON "Post"."PostTypeId" = "Type"."Id" WHERE "Comment"."UserId" = '##UserId:int##' GROUP BY "Comment"."Id" ORDER BY "Comment"."Id" | 0.770508 |
CREATE TABLE lapTimes (raceId NUMBER, driverId NUMBER, lap NUMBER, position NUMBER, time CLOB, milliseconds NUMBER)
CREATE TABLE results (resultId NUMBER, raceId NUMBER, driverId NUMBER, constructorId NUMBER, number NUMBER, grid NUMBER, position CLOB, positionText CLOB, positionOrder NUMBER, points FLOAT, laps CLOB, time CLOB, milliseconds CLOB, fastestLap CLOB, rank CLOB, fastestLapTime CLOB, fastestLapSpeed CLOB, statusId NUMBER)
CREATE TABLE status (statusId NUMBER, status CLOB)
CREATE TABLE constructorStandings (constructorStandingsId NUMBER, raceId NUMBER, constructorId NUMBER, points FLOAT, position NUMBER, positionText CLOB, wins NUMBER)
CREATE TABLE seasons (year NUMBER, url CLOB)
CREATE TABLE qualifying (qualifyId NUMBER, raceId NUMBER, driverId NUMBER, constructorId NUMBER, number NUMBER, position NUMBER, q1 CLOB, q2 CLOB, q3 CLOB)
CREATE TABLE circuits (circuitId NUMBER, circuitRef CLOB, name CLOB, location CLOB, country CLOB, lat FLOAT, lng FLOAT, alt CLOB, url CLOB)
CREATE TABLE driverStandings (driverStandingsId NUMBER, raceId NUMBER, driverId NUMBER, points FLOAT, position NUMBER, positionText CLOB, wins NUMBER)
CREATE TABLE drivers (driverId NUMBER, driverRef CLOB, number CLOB, code CLOB, forename CLOB, surname CLOB, dob CLOB, nationality CLOB, url CLOB)
CREATE TABLE races (raceId NUMBER, year NUMBER, round NUMBER, circuitId NUMBER, name CLOB, date CLOB, time CLOB, url CLOB)
CREATE TABLE constructorResults (constructorResultsId NUMBER, raceId NUMBER, constructorId NUMBER, points FLOAT, status CLOB)
CREATE TABLE constructors (constructorId NUMBER, constructorRef CLOB, name CLOB, nationality CLOB, url CLOB)
CREATE TABLE pitStops (raceId NUMBER, driverId NUMBER, stop NUMBER, lap NUMBER, time CLOB, duration CLOB, milliseconds NUMBER)
| What are the number of the names of all races held between 2009 and 2011?, display by the y-axis from high to low. | SELECT name, COUNT(name) FROM races WHERE year BETWEEN 2009 AND 2011 GROUP BY name ORDER BY COUNT(name) DESC | SELECT "name", COUNT("name") FROM "races" WHERE "year" <= 2011 AND "year" >= 2009 GROUP BY "name" ORDER BY COUNT("name") DESC | 0.12207 |
CREATE TABLE table_139 ("1921" CLOB, "party" CLOB, "Manhattan" CLOB, "The Bronx" CLOB, "Brooklyn" CLOB, "Queens" CLOB, "Richmond [Staten Is.]" CLOB, "Total" FLOAT, "%" CLOB)
| How many parties received 29.9% of the vote in Manhattan? | SELECT COUNT("party") FROM table_139 WHERE "Manhattan" = '29.9%' | SELECT COUNT("party") FROM "table_139" WHERE "Manhattan" = '29.9%' | 0.064453 |
CREATE TABLE catalogs (catalog_id NUMBER, catalog_name CLOB, catalog_publisher CLOB, date_of_publication TIME, date_of_latest_revision TIME)
CREATE TABLE catalog_contents (catalog_entry_id NUMBER, catalog_level_number NUMBER, parent_entry_id NUMBER, previous_entry_id NUMBER, next_entry_id NUMBER, catalog_entry_name CLOB, product_stock_number CLOB, price_in_dollars NUMBER, price_in_euros NUMBER, price_in_pounds NUMBER, capacity CLOB, length CLOB, height CLOB, width CLOB)
CREATE TABLE catalog_structure (catalog_level_number NUMBER, catalog_id NUMBER, catalog_level_name CLOB)
CREATE TABLE catalog_contents_additional_attributes (catalog_entry_id NUMBER, catalog_level_number NUMBER, attribute_id NUMBER, attribute_value CLOB)
CREATE TABLE attribute_definitions (attribute_id NUMBER, attribute_name CLOB, attribute_data_type CLOB)
| Which catalog contents have length below 3 or above 5? Find the catalog entry names. | SELECT catalog_entry_name FROM catalog_contents WHERE length < 3 OR width > 5 | SELECT "catalog_entry_name" FROM "catalog_contents" WHERE "length" < 3 OR "width" > 5 | 0.083008 |
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)
| what is the number of patients whose admission year is less than 2184 and procedure short title is left heart cardiac cath? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.admityear < "2184" AND procedures.short_title = "Left heart cardiac cath" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "procedures" ON "Left heart cardiac cath" = "procedures"."short_title" AND "demographic"."hadm_id" = "procedures"."hadm_id" WHERE "2184" > "demographic"."admityear" | 0.232422 |
CREATE TABLE table_62218 ("Name" CLOB, "Years" CLOB, "MLS Cup" FLOAT, "U.S. Open Cup" FLOAT, "CONCACAF" FLOAT, "Other" FLOAT, "Total" FLOAT)
| What is the highest value for Other that has CONCACAF value of 0 a U.S. Open Cup larger than 0? | SELECT MAX("Other") FROM table_62218 WHERE "U.S. Open Cup" > '0' AND "CONCACAF" = '0' | SELECT MAX("Other") FROM "table_62218" WHERE "CONCACAF" = '0' AND "U.S. Open Cup" > '0' | 0.084961 |
CREATE TABLE job_history (EMPLOYEE_ID NUMBER, START_DATE DATE, END_DATE DATE, JOB_ID VARCHAR2, DEPARTMENT_ID NUMBER)
CREATE TABLE departments (DEPARTMENT_ID NUMBER, DEPARTMENT_NAME VARCHAR2, MANAGER_ID NUMBER, LOCATION_ID NUMBER)
CREATE TABLE regions (REGION_ID NUMBER, REGION_NAME VARCHAR2)
CREATE TABLE employees (EMPLOYEE_ID NUMBER, FIRST_NAME VARCHAR2, LAST_NAME VARCHAR2, EMAIL VARCHAR2, PHONE_NUMBER VARCHAR2, HIRE_DATE DATE, JOB_ID VARCHAR2, SALARY NUMBER, COMMISSION_PCT NUMBER, MANAGER_ID NUMBER, DEPARTMENT_ID NUMBER)
CREATE TABLE locations (LOCATION_ID NUMBER, STREET_ADDRESS VARCHAR2, POSTAL_CODE VARCHAR2, CITY VARCHAR2, STATE_PROVINCE VARCHAR2, COUNTRY_ID VARCHAR2)
CREATE TABLE countries (COUNTRY_ID VARCHAR2, COUNTRY_NAME VARCHAR2, REGION_ID NUMBER)
CREATE TABLE jobs (JOB_ID VARCHAR2, JOB_TITLE VARCHAR2, MIN_SALARY NUMBER, MAX_SALARY NUMBER)
| For those employees who do not work in departments with managers that have ids between 100 and 200, visualize a bar chart about the distribution of job_id and manager_id , and could you list in asc by the MANAGER_ID? | SELECT JOB_ID, MANAGER_ID FROM employees WHERE NOT DEPARTMENT_ID IN (SELECT DEPARTMENT_ID FROM departments WHERE MANAGER_ID BETWEEN 100 AND 200) ORDER BY MANAGER_ID | SELECT "JOB_ID", "MANAGER_ID" FROM "employees" WHERE NOT "DEPARTMENT_ID" IN (SELECT "DEPARTMENT_ID" FROM "departments" WHERE "MANAGER_ID" <= 200 AND "MANAGER_ID" >= 100) ORDER BY "MANAGER_ID" | 0.186523 |
CREATE TABLE table_38472 ("Storm name" CLOB, "Dates active" CLOB, "Max 1-min wind mph ( km/h ) " CLOB, "Min. press. ( mbar ) " CLOB, "Damage ( millions USD ) " CLOB, "Deaths" CLOB)
| What is the cost of 972 Min Press caused 52 death? | SELECT "Damage (millions USD )" FROM table_38472 WHERE "Min. press. ( mbar )" = '972' AND "Deaths" = '52' | SELECT "Damage (millions USD )" FROM "table_38472" WHERE "Deaths" = '52' AND "Min. press. ( mbar )" = '972' | 0.104492 |
CREATE TABLE table_15736385_1 (engine VARCHAR2, team VARCHAR2)
| What engine does Galles Racing use? | SELECT engine FROM table_15736385_1 WHERE team = "Galles Racing" | SELECT "engine" FROM "table_15736385_1" WHERE "Galles Racing" = "team" | 0.068359 |
CREATE TABLE table_name_59 (game_site VARCHAR2, week VARCHAR2)
| Where did they have the divisional playoffs? | SELECT game_site FROM table_name_59 WHERE week = "divisional playoffs" | SELECT "game_site" FROM "table_name_59" WHERE "divisional playoffs" = "week" | 0.074219 |
CREATE TABLE table_34787 ("Pick #" CLOB, "Player" CLOB, "Position" CLOB, "Nationality" CLOB, "NHL team" CLOB, "College/junior/club team" CLOB)
| To which college/junior/club team did the player that was Pick 12 belong? | SELECT "College/junior/club team" FROM table_34787 WHERE "Pick #" = '12' | SELECT "College/junior/club team" FROM "table_34787" WHERE "Pick #" = '12' | 0.072266 |
CREATE TABLE table_75443 ("Game" FLOAT, "December" FLOAT, "Opponent" CLOB, "Score" CLOB, "Record" CLOB, "Points" FLOAT)
| Which Game has a Score of 4 1? | SELECT SUM("Game") FROM table_75443 WHERE "Score" = '4–1' | SELECT SUM("Game") FROM "table_75443" WHERE "Score" = '4–1' | 0.057617 |
CREATE TABLE table_24533 ("No. in total" CLOB, "No. in series" CLOB, "Title" CLOB, "Directed by" CLOB, "Written by" CLOB, "Original air date" CLOB)
| What number in series is 'Diamonds'? | SELECT "No. in series" FROM table_24533 WHERE "Title" = 'Diamonds' | SELECT "No. in series" FROM "table_24533" WHERE "Title" = 'Diamonds' | 0.066406 |
CREATE TABLE table_name_92 (top_25 VARCHAR2, top_10 VARCHAR2, cuts_made VARCHAR2)
| What is the total number of top-25 with a top-10 bigger than 2 and less than 29 cuts? | SELECT COUNT(top_25) FROM table_name_92 WHERE top_10 > 2 AND cuts_made < 29 | SELECT COUNT("top_25") FROM "table_name_92" WHERE "cuts_made" < 29 AND "top_10" > 2 | 0.081055 |
CREATE TABLE table_59017 ("Pick" FLOAT, "Player" CLOB, "Team" CLOB, "Position" CLOB, "Hometown/School" CLOB)
| What is Team, when Position is 'LHP', and when Pick is '23'? | SELECT "Team" FROM table_59017 WHERE "Position" = 'lhp' AND "Pick" = '23' | SELECT "Team" FROM "table_59017" WHERE "Pick" = '23' AND "Position" = 'lhp' | 0.073242 |
CREATE TABLE patient (uniquepid CLOB, patienthealthsystemstayid NUMBER, patientunitstayid NUMBER, gender CLOB, age CLOB, ethnicity CLOB, hospitalid NUMBER, wardid NUMBER, admissionheight NUMBER, admissionweight NUMBER, dischargeweight NUMBER, hospitaladmittime TIME, hospitaladmitsource CLOB, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus CLOB)
CREATE TABLE diagnosis (diagnosisid NUMBER, patientunitstayid NUMBER, diagnosisname CLOB, diagnosistime TIME, icd9code CLOB)
CREATE TABLE cost (costid NUMBER, uniquepid CLOB, patienthealthsystemstayid NUMBER, eventtype CLOB, eventid NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime TIME)
CREATE TABLE vitalperiodic (vitalperiodicid NUMBER, patientunitstayid NUMBER, temperature NUMBER, sao2 NUMBER, heartrate NUMBER, respiration NUMBER, systemicsystolic NUMBER, systemicdiastolic NUMBER, systemicmean NUMBER, observationtime TIME)
CREATE TABLE intakeoutput (intakeoutputid NUMBER, patientunitstayid NUMBER, cellpath CLOB, celllabel CLOB, cellvaluenumeric NUMBER, intakeoutputtime TIME)
CREATE TABLE medication (medicationid NUMBER, patientunitstayid NUMBER, drugname CLOB, dosage CLOB, routeadmin CLOB, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE treatment (treatmentid NUMBER, patientunitstayid NUMBER, treatmentname CLOB, treatmenttime TIME)
CREATE TABLE microlab (microlabid NUMBER, patientunitstayid NUMBER, culturesite CLOB, organism CLOB, culturetakentime TIME)
CREATE TABLE allergy (allergyid NUMBER, patientunitstayid NUMBER, drugname CLOB, allergyname CLOB, allergytime TIME)
| how many patients have had a sputum, expectorated microbiology test performed in 2104? | SELECT COUNT(DISTINCT patient.uniquepid) FROM patient WHERE patient.patientunitstayid IN (SELECT microlab.patientunitstayid FROM microlab WHERE microlab.culturesite = 'sputum, expectorated' AND STRFTIME('%y', microlab.culturetakentime) = '2104') | WITH "_u_0" AS (SELECT "microlab"."patientunitstayid" FROM "microlab" WHERE "microlab"."culturesite" = 'sputum, expectorated' AND STRFTIME('%y', "microlab"."culturetakentime") = '2104' GROUP BY "patientunitstayid") SELECT COUNT(DISTINCT "patient"."uniquepid") FROM "patient" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "patient"."patientunitstayid" WHERE NOT "_u_0"."" IS NULL | 0.362305 |
CREATE TABLE table_203_43 (id NUMBER, "polling firm" CLOB, "month" CLOB, "link" CLOB, "favor" NUMBER, "oppose" NUMBER)
| how many zogby international polls took place in the month of august ? | SELECT COUNT("polling firm") FROM table_203_43 WHERE "polling firm" = 'zogby international' AND "month" = 8 | SELECT COUNT("polling firm") FROM "table_203_43" WHERE "month" = 8 AND "polling firm" = 'zogby international' | 0.106445 |
CREATE TABLE table_name_51 (runner_up VARCHAR2, total VARCHAR2)
| What is the runner-up when the total is 5? | SELECT runner_up FROM table_name_51 WHERE total = 5 | SELECT "runner_up" FROM "table_name_51" WHERE "total" = 5 | 0.055664 |
CREATE TABLE flight_leg (flight_id NUMBER, leg_number NUMBER, leg_flight NUMBER)
CREATE TABLE ground_service (city_code CLOB, airport_code CLOB, transport_type CLOB, ground_fare NUMBER)
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 date_day (month_number NUMBER, day_number NUMBER, year NUMBER, day_name VARCHAR2)
CREATE TABLE days (days_code VARCHAR2, day_name VARCHAR2)
CREATE TABLE dual_carrier (main_airline VARCHAR2, low_flight_number NUMBER, high_flight_number NUMBER, dual_airline VARCHAR2, service_name CLOB)
CREATE TABLE 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 airport_service (city_code VARCHAR2, airport_code VARCHAR2, miles_distant NUMBER, direction VARCHAR2, minutes_distant NUMBER)
CREATE TABLE flight (aircraft_code_sequence CLOB, airline_code VARCHAR2, airline_flight CLOB, arrival_time NUMBER, connections NUMBER, departure_time NUMBER, dual_carrier CLOB, flight_days CLOB, flight_id NUMBER, flight_number NUMBER, from_airport VARCHAR2, meal_code CLOB, stops NUMBER, time_elapsed NUMBER, to_airport VARCHAR2)
CREATE TABLE compartment_class (compartment VARCHAR2, class_type VARCHAR2)
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 month (month_number NUMBER, month_name CLOB)
CREATE TABLE flight_fare (flight_id NUMBER, fare_id 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_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 time_zone (time_zone_code CLOB, time_zone_name CLOB, hours_from_gmt NUMBER)
CREATE TABLE fare (fare_id NUMBER, from_airport VARCHAR2, to_airport VARCHAR2, fare_basis_code CLOB, fare_airline CLOB, restriction_code CLOB, one_direction_cost NUMBER, round_trip_cost NUMBER, round_trip_required VARCHAR2)
CREATE TABLE flight_stop (flight_id NUMBER, stop_number NUMBER, stop_days CLOB, stop_airport CLOB, arrival_time NUMBER, arrival_airline CLOB, arrival_flight_number NUMBER, departure_time NUMBER, departure_airline CLOB, departure_flight_number NUMBER, stop_time NUMBER)
CREATE TABLE equipment_sequence (aircraft_code_sequence VARCHAR2, aircraft_code VARCHAR2)
CREATE TABLE airline (airline_code VARCHAR2, airline_name CLOB, note CLOB)
CREATE TABLE restriction (restriction_code CLOB, advance_purchase NUMBER, stopovers CLOB, saturday_stay_required CLOB, minimum_stay NUMBER, maximum_stay NUMBER, application CLOB, no_discounts CLOB)
CREATE TABLE time_interval (period CLOB, begin_time NUMBER, end_time NUMBER)
CREATE TABLE code_description (code VARCHAR2, description CLOB)
| which airlines serve DENVER | SELECT DISTINCT airline.airline_code FROM airline, airport_service, city, flight WHERE city.city_code = airport_service.city_code AND city.city_name = 'DENVER' AND flight.airline_code = airline.airline_code AND flight.from_airport = airport_service.airport_code | SELECT DISTINCT "airline"."airline_code" FROM "airline" JOIN "flight" ON "airline"."airline_code" = "flight"."airline_code" JOIN "airport_service" ON "airport_service"."airport_code" = "flight"."from_airport" JOIN "city" ON "airport_service"."city_code" = "city"."city_code" AND "city"."city_name" = 'DENVER' | 0.300781 |
CREATE TABLE Lives_in (stuid NUMBER, dormid NUMBER, room_number NUMBER)
CREATE TABLE Dorm (dormid NUMBER, dorm_name VARCHAR2, student_capacity NUMBER, gender VARCHAR2)
CREATE TABLE Dorm_amenity (amenid NUMBER, amenity_name VARCHAR2)
CREATE TABLE Has_amenity (dormid NUMBER, amenid NUMBER)
CREATE TABLE Student (StuID NUMBER, LName VARCHAR2, Fname VARCHAR2, Age NUMBER, Sex VARCHAR2, Major NUMBER, Advisor NUMBER, city_code VARCHAR2)
| Find the average age of students living in each dorm and the name of dorm Plot them as bar chart, sort y axis in ascending order. | SELECT dorm_name, AVG(T1.Age) FROM Student AS T1 JOIN Lives_in AS T2 ON T1.stuid = T2.stuid JOIN Dorm AS T3 ON T3.dormid = T2.dormid GROUP BY T3.dorm_name ORDER BY AVG(T1.Age) | SELECT "dorm_name", AVG("T1"."Age") FROM "Student" "T1" JOIN "Lives_in" "T2" ON "T1"."stuid" = "T2"."stuid" JOIN "Dorm" "T3" ON "T2"."dormid" = "T3"."dormid" GROUP BY "T3"."dorm_name" ORDER BY AVG("T1"."Age") | 0.203125 |
CREATE TABLE Staff (Staff_ID NUMBER, Tourist_Attraction_ID NUMBER, Name VARCHAR2, Other_Details VARCHAR2)
CREATE TABLE Locations (Location_ID NUMBER, Location_Name VARCHAR2, Address VARCHAR2, Other_Details VARCHAR2)
CREATE TABLE Visits (Visit_ID NUMBER, Tourist_Attraction_ID NUMBER, Tourist_ID NUMBER, Visit_Date DATETIME, Visit_Details VARCHAR2)
CREATE TABLE Theme_Parks (Theme_Park_ID NUMBER, Theme_Park_Details VARCHAR2)
CREATE TABLE Tourist_Attraction_Features (Tourist_Attraction_ID NUMBER, Feature_ID NUMBER)
CREATE TABLE Ref_Attraction_Types (Attraction_Type_Code CHAR, Attraction_Type_Description VARCHAR2)
CREATE TABLE Features (Feature_ID NUMBER, Feature_Details VARCHAR2)
CREATE TABLE Royal_Family (Royal_Family_ID NUMBER, Royal_Family_Details VARCHAR2)
CREATE TABLE Museums (Museum_ID NUMBER, Museum_Details VARCHAR2)
CREATE TABLE Hotels (hotel_id NUMBER, star_rating_code CHAR, pets_allowed_yn CHAR, price_range FLOAT, other_hotel_details VARCHAR2)
CREATE TABLE Street_Markets (Market_ID NUMBER, Market_Details VARCHAR2)
CREATE TABLE Tourist_Attractions (Tourist_Attraction_ID NUMBER, Attraction_Type_Code CHAR, Location_ID NUMBER, How_to_Get_There VARCHAR2, Name VARCHAR2, Description VARCHAR2, Opening_Hours VARCHAR2, Other_Details VARCHAR2)
CREATE TABLE Ref_Hotel_Star_Ratings (star_rating_code CHAR, star_rating_description VARCHAR2)
CREATE TABLE Shops (Shop_ID NUMBER, Shop_Details VARCHAR2)
CREATE TABLE Photos (Photo_ID NUMBER, Tourist_Attraction_ID NUMBER, Name VARCHAR2, Description VARCHAR2, Filename VARCHAR2, Other_Details VARCHAR2)
CREATE TABLE Visitors (Tourist_ID NUMBER, Tourist_Details VARCHAR2)
| Plot the total number by grouped by how to get there as a bar graph, and show from low to high by the total number. | SELECT How_to_Get_There, COUNT(*) FROM Tourist_Attractions GROUP BY How_to_Get_There ORDER BY COUNT(*) | SELECT "How_to_Get_There", COUNT(*) FROM "Tourist_Attractions" GROUP BY "How_to_Get_There" ORDER BY COUNT(*) | 0.105469 |
CREATE TABLE table_51198 ("Call sign" CLOB, "Frequency MHz" FLOAT, "City of license" CLOB, "ERP W" FLOAT, "Class" CLOB, "FCC info" CLOB)
| What is the total Frequency MHz Port Charlotte, Florida, which has an ERP W larger than 10, has? | SELECT COUNT("Frequency MHz") FROM table_51198 WHERE "City of license" = 'port charlotte, florida' AND "ERP W" > '10' | SELECT COUNT("Frequency MHz") FROM "table_51198" WHERE "City of license" = 'port charlotte, florida' AND "ERP W" > '10' | 0.116211 |
CREATE TABLE table_2501754_3 (original_airdate VARCHAR2, prod_code VARCHAR2)
| List the 1st air date for the episode with a iceb786e production code. | SELECT original_airdate FROM table_2501754_3 WHERE prod_code = "ICEB786E" | SELECT "original_airdate" FROM "table_2501754_3" WHERE "ICEB786E" = "prod_code" | 0.077148 |
CREATE TABLE table_45888 ("Date" CLOB, "Opponent" CLOB, "Venue" CLOB, "Result" CLOB, "Attendance" FLOAT)
| In what venue was the event held on 14 February 2009? | SELECT "Venue" FROM table_45888 WHERE "Date" = '14 february 2009' | SELECT "Venue" FROM "table_45888" WHERE "Date" = '14 february 2009' | 0.06543 |
CREATE TABLE Ref_Transaction_Types (transaction_type_code VARCHAR2, transaction_type_description VARCHAR2)
CREATE TABLE Purchases (purchase_transaction_id NUMBER, purchase_details VARCHAR2)
CREATE TABLE Lots (lot_id NUMBER, investor_id NUMBER, lot_details VARCHAR2)
CREATE TABLE Transactions_Lots (transaction_id NUMBER, lot_id NUMBER)
CREATE TABLE Investors (investor_id NUMBER, Investor_details VARCHAR2)
CREATE TABLE Sales (sales_transaction_id NUMBER, sales_details VARCHAR2)
CREATE TABLE Transactions (transaction_id NUMBER, investor_id NUMBER, transaction_type_code VARCHAR2, date_of_transaction DATETIME, amount_of_transaction NUMBER, share_count VARCHAR2, other_details VARCHAR2)
| Show the ids and details of the investors who have at least two transactions with type code 'SALE' by a bar chart, rank in descending by the bar. | SELECT T1.Investor_details, T1.investor_id FROM Investors AS T1 JOIN Transactions AS T2 ON T1.investor_id = T2.investor_id WHERE T2.transaction_type_code = "SALE" ORDER BY T1.Investor_details DESC | SELECT "T1"."Investor_details", "T1"."investor_id" FROM "Investors" "T1" JOIN "Transactions" "T2" ON "SALE" = "T2"."transaction_type_code" AND "T1"."investor_id" = "T2"."investor_id" ORDER BY "T1"."Investor_details" DESC | 0.214844 |
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 PendingFlags (Id NUMBER, FlagTypeId NUMBER, PostId NUMBER, CreationDate TIME, CloseReasonTypeId NUMBER, CloseAsOffTopicReasonTypeId NUMBER, DuplicateOfQuestionId NUMBER, BelongsOnBaseHostAddress CLOB)
CREATE TABLE VoteTypes (Id NUMBER, Name CLOB)
CREATE TABLE ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment CLOB)
CREATE TABLE ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId NUMBER)
CREATE TABLE PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
CREATE TABLE PostTypes (Id NUMBER, Name 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 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 PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId NUMBER)
CREATE TABLE TagSynonyms (Id NUMBER, SourceTagName CLOB, TargetTagName CLOB, CreationDate TIME, OwnerUserId NUMBER, AutoRenameCount NUMBER, LastAutoRename TIME, Score NUMBER, ApprovedByUserId NUMBER, ApprovalDate TIME)
CREATE TABLE ReviewTaskTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE SuggestedEditVotes (Id NUMBER, SuggestedEditId NUMBER, UserId NUMBER, VoteTypeId NUMBER, CreationDate TIME, TargetUserId NUMBER, TargetRepChange NUMBER)
CREATE TABLE PostTags (PostId NUMBER, TagId NUMBER)
CREATE TABLE ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
CREATE TABLE PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
CREATE TABLE ReviewTaskStates (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostHistoryTypes (Id NUMBER, Name CLOB)
CREATE TABLE CloseReasonTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostHistory (Id NUMBER, PostHistoryTypeId NUMBER, PostId NUMBER, RevisionGUID other, CreationDate TIME, UserId NUMBER, UserDisplayName CLOB, Comment CLOB, Text CLOB, ContentLicense CLOB)
CREATE TABLE Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
CREATE TABLE Comments (Id NUMBER, PostId NUMBER, Score NUMBER, Text CLOB, CreationDate TIME, UserDisplayName CLOB, UserId NUMBER, ContentLicense CLOB)
CREATE TABLE Posts (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE 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 Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
CREATE TABLE PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId NUMBER)
CREATE TABLE FlagTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE CloseAsOffTopicReasonTypes (Id NUMBER, IsUniversal BOOLEAN, InputTitle CLOB, MarkdownInputGuidance CLOB, MarkdownPostOwnerGuidance CLOB, MarkdownPrivilegedUserGuidance CLOB, MarkdownConcensusDescription CLOB, CreationDate TIME, CreationModeratorId NUMBER, ApprovalDate TIME, ApprovalModeratorId NUMBER, DeactivationDate TIME, DeactivationModeratorId NUMBER)
| Top 450 SO Users from India. | SELECT ROW_NUMBER() OVER (ORDER BY Reputation DESC) AS "#", Id AS "user_link", Reputation, Location FROM Users WHERE LOWER(Location) LIKE '%kerala' ORDER BY Reputation DESC LIMIT 450 | SELECT ROW_NUMBER() OVER (ORDER BY "Reputation" DESC) AS "#", "Id" AS "user_link", "Reputation", "Location" FROM "Users" WHERE LOWER("Location") LIKE '%kerala' ORDER BY "Reputation" DESC FETCH FIRST 450 ROWS ONLY | 0.207031 |
CREATE TABLE table_name_42 (draws NUMBER, against VARCHAR2, wins VARCHAR2)
| What is the lowest Draws, when Against is '1547', and when Wins is greater than 3? | SELECT MIN(draws) FROM table_name_42 WHERE against = 1547 AND wins > 3 | SELECT MIN("draws") FROM "table_name_42" WHERE "against" = 1547 AND "wins" > 3 | 0.076172 |
CREATE TABLE table_name_31 (pick__number VARCHAR2, round VARCHAR2)
| What is the pick number for the player(s) drafted in round 8? | SELECT pick__number FROM table_name_31 WHERE round = "round 8" | SELECT "pick__number" FROM "table_name_31" WHERE "round 8" = "round" | 0.066406 |
CREATE TABLE table_name_91 (indoor_track VARCHAR2, tennis VARCHAR2, golf VARCHAR2)
| What is the indoor track status for the school that has yes for tennis and no for golf? | SELECT indoor_track FROM table_name_91 WHERE tennis = "yes" AND golf = "no" | SELECT "indoor_track" FROM "table_name_91" WHERE "golf" = "no" AND "tennis" = "yes" | 0.081055 |
CREATE TABLE table_name_76 (attendance NUMBER, opponent VARCHAR2)
| WHAT IS THE HIGHEST ATTENDANCE FOR THE PHOENIX COYOTES? | SELECT MAX(attendance) FROM table_name_76 WHERE opponent = "phoenix coyotes" | SELECT MAX("attendance") FROM "table_name_76" WHERE "opponent" = "phoenix coyotes" | 0.080078 |
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
| what is the number of patients whose diagnoses long title is acute glomerulonephritis with other specified pathological lesion in kidney and drug route is iv drip? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE diagnoses.long_title = "Acute glomerulonephritis with other specified pathological lesion in kidney" AND prescriptions.route = "IV DRIP" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "Acute glomerulonephritis with other specified pathological lesion in kidney" = "diagnoses"."long_title" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" JOIN "prescriptions" ON "IV DRIP" = "prescriptions"."route" AND "demographic"."hadm_id" = "prescriptions"."hadm_id" | 0.352539 |
CREATE TABLE table_2308381_1 (avg_start VARCHAR2, avg_finish VARCHAR2)
| Name the avg start for avg finish being 24.2 | SELECT avg_start FROM table_2308381_1 WHERE avg_finish = "24.2" | SELECT "avg_start" FROM "table_2308381_1" WHERE "24.2" = "avg_finish" | 0.067383 |
CREATE TABLE employee (eid NUMBER, name VARCHAR2, salary NUMBER)
CREATE TABLE certificate (eid NUMBER, aid NUMBER)
CREATE TABLE aircraft (aid NUMBER, name VARCHAR2, distance NUMBER)
CREATE TABLE flight (flno NUMBER, origin VARCHAR2, destination VARCHAR2, distance NUMBER, departure_date DATE, arrival_date DATE, price NUMBER, aid NUMBER)
| Visualize a bar chart for what is the name of each aircraft and how many flights does each one complete?, and rank in asc by the bar. | SELECT name, COUNT(*) FROM flight AS T1 JOIN aircraft AS T2 ON T1.aid = T2.aid GROUP BY T1.aid ORDER BY name | SELECT "name", COUNT(*) FROM "flight" "T1" JOIN "aircraft" "T2" ON "T1"."aid" = "T2"."aid" GROUP BY "T1"."aid" ORDER BY "name" | 0.123047 |
CREATE TABLE Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
CREATE TABLE PostHistory (Id NUMBER, PostHistoryTypeId NUMBER, PostId NUMBER, RevisionGUID other, CreationDate TIME, UserId NUMBER, UserDisplayName CLOB, Comment CLOB, Text CLOB, ContentLicense CLOB)
CREATE TABLE PostTypes (Id NUMBER, Name CLOB)
CREATE TABLE SuggestedEditVotes (Id NUMBER, SuggestedEditId NUMBER, UserId NUMBER, VoteTypeId NUMBER, CreationDate TIME, TargetUserId NUMBER, TargetRepChange NUMBER)
CREATE TABLE ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment CLOB)
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 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 PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId NUMBER)
CREATE TABLE CloseReasonTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE ReviewTaskTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Comments (Id NUMBER, PostId NUMBER, Score NUMBER, Text CLOB, CreationDate TIME, UserDisplayName CLOB, UserId NUMBER, ContentLicense CLOB)
CREATE TABLE ReviewTaskResultTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PendingFlags (Id NUMBER, FlagTypeId NUMBER, PostId NUMBER, CreationDate TIME, CloseReasonTypeId NUMBER, CloseAsOffTopicReasonTypeId NUMBER, DuplicateOfQuestionId NUMBER, BelongsOnBaseHostAddress CLOB)
CREATE TABLE CloseAsOffTopicReasonTypes (Id NUMBER, IsUniversal BOOLEAN, InputTitle CLOB, MarkdownInputGuidance CLOB, MarkdownPostOwnerGuidance CLOB, MarkdownPrivilegedUserGuidance CLOB, MarkdownConcensusDescription CLOB, CreationDate TIME, CreationModeratorId NUMBER, ApprovalDate TIME, ApprovalModeratorId NUMBER, DeactivationDate TIME, DeactivationModeratorId NUMBER)
CREATE TABLE 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 PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
CREATE TABLE ReviewTaskStates (Id NUMBER, Name CLOB, Description 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 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 PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId 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 Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount NUMBER)
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 PostTags (PostId NUMBER, TagId NUMBER)
CREATE TABLE Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
CREATE TABLE ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
CREATE TABLE VoteTypes (Id NUMBER, Name CLOB)
| Edits I approved and that ended up being rejected. | SELECT se.Id AS "suggested_edit_link", p.Id AS "post_link" FROM SuggestedEdits AS se, SuggestedEditVotes AS sev, Posts AS p WHERE se.Id = sev.SuggestedEditId AND se.PostId = p.Id AND sev.UserId = '##UserId##' AND sev.VoteTypeId = 2 AND NOT se.RejectionDate IS NULL ORDER BY sev.CreationDate | SELECT "se"."Id" AS "suggested_edit_link", "p"."Id" AS "post_link" FROM "SuggestedEdits" "se" JOIN "Posts" "p" ON "p"."Id" = "se"."PostId" JOIN "SuggestedEditVotes" "sev" ON "se"."Id" = "sev"."SuggestedEditId" AND "sev"."UserId" = '##UserId##' AND "sev"."VoteTypeId" = 2 WHERE NOT "se"."RejectionDate" IS NULL ORDER BY "sev"."CreationDate" | 0.331055 |
CREATE TABLE table_204_433 (id NUMBER, "rank" NUMBER, "name" CLOB, "nationality" CLOB, "time" CLOB)
| who finished before nate boyle for the united states ? | SELECT "name" FROM table_204_433 WHERE id = (SELECT id FROM table_204_433 WHERE "name" = 'nate boyle') - 1 | SELECT "name" FROM "table_204_433" WHERE "id" = (SELECT "id" FROM "table_204_433" WHERE "name" = 'nate boyle') - 1 | 0.111328 |
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
| how many patients whose admission year is less than 2120 and lab test name is monos? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.admityear < "2120" AND lab.label = "Monos" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "lab" ON "Monos" = "lab"."label" AND "demographic"."hadm_id" = "lab"."hadm_id" WHERE "2120" > "demographic"."admityear" | 0.188477 |
CREATE TABLE instructor (instructor_id NUMBER, name VARCHAR2, uniqname VARCHAR2)
CREATE TABLE gsi (course_offering_id NUMBER, student_id NUMBER)
CREATE TABLE requirement (requirement_id NUMBER, requirement VARCHAR2, college VARCHAR2)
CREATE TABLE program (program_id NUMBER, name VARCHAR2, college VARCHAR2, introduction VARCHAR2)
CREATE TABLE course_prerequisite (pre_course_id NUMBER, course_id NUMBER)
CREATE TABLE jobs (job_id NUMBER, job_title VARCHAR2, description VARCHAR2, requirement VARCHAR2, city VARCHAR2, state VARCHAR2, country VARCHAR2, zip NUMBER)
CREATE TABLE offering_instructor (offering_instructor_id NUMBER, offering_id NUMBER, instructor_id NUMBER)
CREATE TABLE course_offering (offering_id NUMBER, course_id NUMBER, semester NUMBER, section_number NUMBER, start_time TIME, end_time TIME, monday VARCHAR2, tuesday VARCHAR2, wednesday VARCHAR2, thursday VARCHAR2, friday VARCHAR2, saturday VARCHAR2, sunday VARCHAR2, has_final_project VARCHAR2, has_final_exam VARCHAR2, textbook VARCHAR2, class_address VARCHAR2, allow_audit VARCHAR2)
CREATE TABLE program_requirement (program_id NUMBER, category VARCHAR2, min_credit NUMBER, additional_req VARCHAR2)
CREATE TABLE 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 program_course (program_id NUMBER, course_id NUMBER, workload NUMBER, category VARCHAR2)
CREATE TABLE area (course_id NUMBER, area VARCHAR2)
CREATE TABLE course_tags_count (course_id NUMBER, clear_grading NUMBER, pop_quiz NUMBER, group_projects NUMBER, inspirational NUMBER, long_lectures NUMBER, extra_credit NUMBER, few_tests NUMBER, good_feedback NUMBER, tough_tests NUMBER, heavy_papers NUMBER, cares_for_students NUMBER, heavy_assignments NUMBER, respected NUMBER, participation NUMBER, heavy_reading NUMBER, tough_grader NUMBER, hilarious NUMBER, would_take_again NUMBER, good_lecture NUMBER, no_skip NUMBER)
CREATE TABLE 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 semester (semester_id NUMBER, semester VARCHAR2, year 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 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)
| Name the simple class I can join to cover the MDE requirement . | SELECT DISTINCT course.department, course.name, course.number, program_course.workload, program_course.workload FROM course, program_course WHERE program_course.category LIKE '%MDE%' AND program_course.course_id = course.course_id AND program_course.workload = (SELECT MIN(PROGRAM_COURSEalias1.workload) FROM program_course AS PROGRAM_COURSEalias1 WHERE PROGRAM_COURSEalias1.category LIKE '%MDE%') | WITH "_u_0" AS (SELECT MIN("PROGRAM_COURSEalias1"."workload") FROM "program_course" "PROGRAM_COURSEalias1" WHERE "PROGRAM_COURSEalias1"."category" LIKE '%MDE%') SELECT DISTINCT "course"."department", "course"."name", "course"."number", "program_course"."workload", "program_course"."workload" FROM "course" JOIN "program_course" ON "course"."course_id" = "program_course"."course_id" AND "program_course"."category" LIKE '%MDE%' JOIN "_u_0" "_u_0" ON "_u_0"."" = "program_course"."workload" | 0.478516 |
CREATE TABLE table_17006 ("Abbreviation" CLOB, "Voivodeship" CLOB, "Capital" CLOB, "Area km\\u00b2 ( 1998 ) " CLOB, "Population ( 1980 ) " CLOB, "No. of cities" FLOAT, "No. of communes" FLOAT)
| How big (in km2) is the voivodenship also known by the abbreviation KN? | SELECT "Area km\u00b2 (1998)" FROM table_17006 WHERE "Abbreviation" = 'kn' | SELECT "Area km\u00b2 (1998)" FROM "table_17006" WHERE "Abbreviation" = 'kn' | 0.074219 |
CREATE TABLE table_39113 ("Tournament" CLOB, "1998" CLOB, "2000" CLOB, "2001" CLOB, "2002" CLOB, "2003" CLOB, "2004" CLOB, "2005" CLOB, "2006" CLOB, "2007" CLOB, "2008" CLOB, "2009" CLOB, "2010" CLOB, "2011" CLOB, "2012" CLOB, "2013" CLOB)
| 2007 of 8 4 is involved in what 2002? | SELECT "2002" FROM table_39113 WHERE "2007" = '8–4' | SELECT "2002" FROM "table_39113" WHERE "2007" = '8–4' | 0.051758 |
CREATE TABLE table_80099 ("Week" FLOAT, "Date" CLOB, "Opponent" CLOB, "Result" CLOB, "Game site" CLOB, "Record" CLOB, "Attendance" CLOB)
| Who was the opponent when the Seattle Seahawks had a record of 8-7? | SELECT "Opponent" FROM table_80099 WHERE "Record" = '8-7' | SELECT "Opponent" FROM "table_80099" WHERE "Record" = '8-7' | 0.057617 |
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 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 lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
| What is the total number of patients suffering from malig neo brain nec that have government insurance? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.insurance = "Government" AND diagnoses.short_title = "Malig neo brain NEC" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "Malig neo brain NEC" = "diagnoses"."short_title" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" WHERE "Government" = "demographic"."insurance" | 0.231445 |
CREATE TABLE table_30121082_1 (civil_parish VARCHAR2, townland VARCHAR2)
| What are the civil parishes of the Loughmarsh townland? | SELECT civil_parish FROM table_30121082_1 WHERE townland = "Loughmarsh" | SELECT "civil_parish" FROM "table_30121082_1" WHERE "Loughmarsh" = "townland" | 0.075195 |
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 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)
| out of the total number of patients diagnosed with icd9 code 42781, how many of them remained admitted in hospital for more than 13 days? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.days_stay > "13" AND diagnoses.icd9_code = "42781" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "42781" = "diagnoses"."icd9_code" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" WHERE "13" < "demographic"."days_stay" | 0.208008 |
CREATE TABLE table_name_77 (venue VARCHAR2, competition VARCHAR2)
| What is the venue of the 1990 Asian games? | SELECT venue FROM table_name_77 WHERE competition = "1990 asian games" | SELECT "venue" FROM "table_name_77" WHERE "1990 asian games" = "competition" | 0.074219 |
CREATE TABLE table_61958 ("President" CLOB, "Treasurer" CLOB, "Secretary" CLOB, "Social AO" CLOB, "Academic AO" CLOB, "Internal CO" CLOB, "External CO" CLOB)
| What Social AO has an External CO of simonas savickas, and an Internal CO of pieter kuijsten? | SELECT "Social AO" FROM table_61958 WHERE "External CO" = 'simonas savickas' AND "Internal CO" = 'pieter kuijsten' | SELECT "Social AO" FROM "table_61958" WHERE "External CO" = 'simonas savickas' AND "Internal CO" = 'pieter kuijsten' | 0.113281 |
CREATE TABLE table_name_5 (open_2nd_viii VARCHAR2, u15_6th_quad VARCHAR2, u16_1st_viii VARCHAR2)
| Which Open 2nd VIII had a U15 6th Quad of BGS and a U16 1st VII of TSS? | SELECT open_2nd_viii FROM table_name_5 WHERE u15_6th_quad = "bgs" AND u16_1st_viii = "tss" | SELECT "open_2nd_viii" FROM "table_name_5" WHERE "bgs" = "u15_6th_quad" AND "tss" = "u16_1st_viii" | 0.095703 |
CREATE TABLE weather (date CLOB, max_temperature_f NUMBER, mean_temperature_f NUMBER, min_temperature_f NUMBER, max_dew_point_f NUMBER, mean_dew_point_f NUMBER, min_dew_point_f NUMBER, max_humidity NUMBER, mean_humidity NUMBER, min_humidity NUMBER, max_sea_level_pressure_inches NUMBER, mean_sea_level_pressure_inches NUMBER, min_sea_level_pressure_inches NUMBER, max_visibility_miles NUMBER, mean_visibility_miles NUMBER, min_visibility_miles NUMBER, max_wind_speed_mph NUMBER, mean_wind_speed_mph NUMBER, max_gust_speed_mph NUMBER, precipitation_inches NUMBER, cloud_cover NUMBER, events CLOB, wind_dir_degrees NUMBER, zip_code NUMBER)
CREATE TABLE status (station_id NUMBER, bikes_available NUMBER, docks_available NUMBER, time CLOB)
CREATE TABLE trip (id NUMBER, duration NUMBER, start_date CLOB, start_station_name CLOB, start_station_id NUMBER, end_date CLOB, end_station_name CLOB, end_station_id NUMBER, bike_id NUMBER, subscription_type CLOB, zip_code NUMBER)
CREATE TABLE station (id NUMBER, name CLOB, lat NUMBER, long NUMBER, dock_count NUMBER, city CLOB, installation_date CLOB)
| What are the different ids and names of the stations that have had more than 12 bikes available? | SELECT DISTINCT T1.id, T1.name FROM station AS T1 JOIN status AS T2 ON T1.id = T2.station_id WHERE T2.bikes_available > 12 | SELECT DISTINCT "T1"."id", "T1"."name" FROM "station" "T1" JOIN "status" "T2" ON "T1"."id" = "T2"."station_id" AND "T2"."bikes_available" > 12 | 0.138672 |
CREATE TABLE table_12348 ("Player" CLOB, "Round" FLOAT, "Pick" FLOAT, "Position" CLOB, "NFL Club" CLOB)
| What was the position of the player picked at 243? | SELECT "Position" FROM table_12348 WHERE "Pick" > '243' | SELECT "Position" FROM "table_12348" WHERE "Pick" > '243' | 0.055664 |
CREATE TABLE table_name_24 (total NUMBER, rank VARCHAR2, gold VARCHAR2, bronze VARCHAR2)
| What is the highest metal total when there are 2 Gold medals, 0 Bronze metals, and the rank is smaller than 2? | SELECT MAX(total) FROM table_name_24 WHERE gold = 2 AND bronze = 0 AND rank < 2 | SELECT MAX("total") FROM "table_name_24" WHERE "bronze" = 0 AND "gold" = 2 AND "rank" < 2 | 0.086914 |
CREATE TABLE table_54672 ("Home team" CLOB, "Home team score" CLOB, "Away team" CLOB, "Away team score" CLOB, "Venue" CLOB, "Crowd" FLOAT, "Date" CLOB)
| How large was the crowd when Carlton was the away team? | SELECT COUNT("Crowd") FROM table_54672 WHERE "Away team" = 'carlton' | SELECT COUNT("Crowd") FROM "table_54672" WHERE "Away team" = 'carlton' | 0.068359 |
CREATE TABLE Allergy_Type (Allergy VARCHAR2, AllergyType VARCHAR2)
CREATE TABLE Student (StuID NUMBER, LName VARCHAR2, Fname VARCHAR2, Age NUMBER, Sex VARCHAR2, Major NUMBER, Advisor NUMBER, city_code VARCHAR2)
CREATE TABLE Has_Allergy (StuID NUMBER, Allergy VARCHAR2)
| Pie. what are the average ages for male and female students? | SELECT Sex, AVG(Age) FROM Student GROUP BY Sex | SELECT "Sex", AVG("Age") FROM "Student" GROUP BY "Sex" | 0.052734 |
CREATE TABLE table_34205 ("Year" CLOB, "Flagship Station" CLOB, "Play-by-play" CLOB, "Color commentator ( s ) " CLOB, "Studio host" CLOB)
| Year of 2006-07 had what studio host? | SELECT "Studio host" FROM table_34205 WHERE "Year" = '2006-07' | SELECT "Studio host" FROM "table_34205" WHERE "Year" = '2006-07' | 0.0625 |
CREATE TABLE table_59209 ("Player" CLOB, "Country" CLOB, "Year ( s ) won" CLOB, "Total" FLOAT, "To par" FLOAT)
| What is the total for player karrie webb? | SELECT COUNT("Total") FROM table_59209 WHERE "Player" = 'karrie webb' | SELECT COUNT("Total") FROM "table_59209" WHERE "Player" = 'karrie webb' | 0.069336 |
CREATE TABLE table_2051288_1 (_2000_ VARCHAR2, population__may NUMBER, location VARCHAR2, barangay VARCHAR2)
| What was the population of the coastal location Isio in May of 2000? | SELECT MIN(population__may), _2000_ FROM table_2051288_1 WHERE location = "coastal" AND barangay = "Isio" | SELECT MIN("population__may"), "_2000_" FROM "table_2051288_1" WHERE "Isio" = "barangay" AND "coastal" = "location" | 0.112305 |
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 cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE transfers (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, eventtype CLOB, careunit CLOB, wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE prescriptions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, startdate TIME, enddate TIME, drug CLOB, dose_val_rx CLOB, dose_unit_rx CLOB, route CLOB)
CREATE TABLE admissions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, admittime TIME, dischtime TIME, admission_type CLOB, admission_location CLOB, discharge_location CLOB, insurance CLOB, language CLOB, marital_status CLOB, ethnicity CLOB, age NUMBER)
CREATE TABLE d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
CREATE TABLE patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
CREATE TABLE d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
CREATE TABLE microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
CREATE TABLE outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
CREATE TABLE labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE icustays (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, first_careunit CLOB, last_careunit CLOB, first_wardid NUMBER, last_wardid NUMBER, intime TIME, outtime TIME)
| when did patient 52736 get a insulin prescription for the last time in the first hospital visit? | SELECT prescriptions.startdate FROM prescriptions WHERE prescriptions.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 52736 AND NOT admissions.dischtime IS NULL ORDER BY admissions.admittime LIMIT 1) AND prescriptions.drug = 'insulin' ORDER BY prescriptions.startdate DESC LIMIT 1 | WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 52736 AND NOT "admissions"."dischtime" IS NULL GROUP BY "hadm_id" ORDER BY "admissions"."admittime" FETCH FIRST 1 ROWS ONLY) SELECT "prescriptions"."startdate" FROM "prescriptions" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "prescriptions"."hadm_id" WHERE "prescriptions"."drug" = 'insulin' AND NOT "_u_0"."" IS NULL ORDER BY "prescriptions"."startdate" DESC FETCH FIRST 1 ROWS ONLY | 0.464844 |
CREATE TABLE table_72825 ("Rank" FLOAT, "Company" CLOB, "Headquarters" CLOB, "Industry" CLOB, "Sales ( billion $ ) " CLOB, "Profits ( billion $ ) " CLOB, "Assets ( billion $ ) " CLOB, "Market Value ( billion $ ) " CLOB)
| What is the highest rank of a company that has 1,715.8 billion in assets? | SELECT MAX("Rank") FROM table_72825 WHERE "Assets (billion $)" = '1,715.8' | SELECT MAX("Rank") FROM "table_72825" WHERE "Assets (billion $)" = '1,715.8' | 0.074219 |
CREATE TABLE table_45443 ("Round" FLOAT, "Race Name" CLOB, "Pole position" CLOB, "Winning driver" CLOB, "Winning Team" CLOB)
| Which race was in round 6? | SELECT "Race Name" FROM table_45443 WHERE "Round" = '6' | SELECT "Race Name" FROM "table_45443" WHERE "Round" = '6' | 0.055664 |
CREATE TABLE table_name_40 (team VARCHAR2, score VARCHAR2)
| Which Team has a Score of 89-123? | SELECT team FROM table_name_40 WHERE score = "89-123" | SELECT "team" FROM "table_name_40" WHERE "89-123" = "score" | 0.057617 |
CREATE TABLE university (School_ID NUMBER, School CLOB, Location CLOB, Founded FLOAT, Affiliation CLOB, Enrollment FLOAT, Nickname CLOB, Primary_conference CLOB)
CREATE TABLE basketball_match (Team_ID NUMBER, School_ID NUMBER, Team_Name CLOB, ACC_Regular_Season CLOB, ACC_Percent CLOB, ACC_Home CLOB, ACC_Road CLOB, All_Games CLOB, All_Games_Percent NUMBER, All_Home CLOB, All_Road CLOB, All_Neutral CLOB)
| Compute the total total number of enrollment across affiliation as a pie chart. | SELECT Affiliation, SUM(Enrollment) FROM university GROUP BY Affiliation | SELECT "Affiliation", SUM("Enrollment") FROM "university" GROUP BY "Affiliation" | 0.078125 |
CREATE TABLE table_name_37 (bronze NUMBER, gold VARCHAR2, nation VARCHAR2)
| what is the least bronze when gold is more than 0 for russia? | SELECT MIN(bronze) FROM table_name_37 WHERE gold > 0 AND nation = "russia" | SELECT MIN("bronze") FROM "table_name_37" WHERE "gold" > 0 AND "nation" = "russia" | 0.080078 |
CREATE TABLE Student (StuID NUMBER, LName VARCHAR2, Fname VARCHAR2, Age NUMBER, Sex VARCHAR2, Major NUMBER, Advisor NUMBER, city_code VARCHAR2)
CREATE TABLE Allergy_Type (Allergy VARCHAR2, AllergyType VARCHAR2)
CREATE TABLE Has_Allergy (StuID NUMBER, Allergy VARCHAR2)
| A bar chart about how many students live in each city?, I want to rank by the x axis in asc. | SELECT city_code, COUNT(*) FROM Student GROUP BY city_code ORDER BY city_code | SELECT "city_code", COUNT(*) FROM "Student" GROUP BY "city_code" ORDER BY "city_code" | 0.083008 |
CREATE TABLE table_41988 ("Tie no" CLOB, "Home team" CLOB, "Score" CLOB, "Away team" CLOB, "Date" CLOB)
| What date has 6 as the tie no.? | SELECT "Date" FROM table_41988 WHERE "Tie no" = '6' | SELECT "Date" FROM "table_41988" WHERE "Tie no" = '6' | 0.051758 |
CREATE TABLE field (fieldid NUMBER)
CREATE TABLE cite (citingpaperid NUMBER, citedpaperid NUMBER)
CREATE TABLE paperdataset (paperid NUMBER, datasetid NUMBER)
CREATE TABLE dataset (datasetid NUMBER, datasetname VARCHAR2)
CREATE TABLE paperkeyphrase (paperid NUMBER, keyphraseid NUMBER)
CREATE TABLE keyphrase (keyphraseid NUMBER, keyphrasename VARCHAR2)
CREATE TABLE venue (venueid NUMBER, venuename VARCHAR2)
CREATE TABLE paper (paperid NUMBER, title VARCHAR2, venueid NUMBER, year NUMBER, numciting NUMBER, numcitedby NUMBER, journalid NUMBER)
CREATE TABLE writes (paperid NUMBER, authorid NUMBER)
CREATE TABLE author (authorid NUMBER, authorname VARCHAR2)
CREATE TABLE paperfield (fieldid NUMBER, paperid NUMBER)
CREATE TABLE journal (journalid NUMBER, journalname VARCHAR2)
| papers about semantic parsing | SELECT DISTINCT paper.paperid FROM keyphrase, paper, paperkeyphrase WHERE keyphrase.keyphrasename = 'semantic parsing' AND paperkeyphrase.keyphraseid = keyphrase.keyphraseid AND paper.paperid = paperkeyphrase.paperid | SELECT DISTINCT "paper"."paperid" FROM "keyphrase" JOIN "paperkeyphrase" ON "keyphrase"."keyphraseid" = "paperkeyphrase"."keyphraseid" JOIN "paper" ON "paper"."paperid" = "paperkeyphrase"."paperid" WHERE "keyphrase"."keyphrasename" = 'semantic parsing' | 0.246094 |
CREATE TABLE table_11190568_7 (date_of_vacancy VARCHAR2, outgoing_manager VARCHAR2)
| When are the vacancy dates for outgoing manager Damien Fox? | SELECT date_of_vacancy FROM table_11190568_7 WHERE outgoing_manager = "Damien Fox" | SELECT "date_of_vacancy" FROM "table_11190568_7" WHERE "Damien Fox" = "outgoing_manager" | 0.085938 |
CREATE TABLE table_5214 ("Week" FLOAT, "Date" CLOB, "Opponent" CLOB, "Result" CLOB, "Record" CLOB, "Venue" CLOB, "Attendance" CLOB)
| Result of w 16-10* o.t. had what attendance? | SELECT "Attendance" FROM table_5214 WHERE "Result" = 'w 16-10* o.t.' | SELECT "Attendance" FROM "table_5214" WHERE "Result" = 'w 16-10* o.t.' | 0.068359 |
CREATE TABLE table_48249 ("Res." CLOB, "Record" CLOB, "Opponent" CLOB, "Method" CLOB, "Event" CLOB, "Round" FLOAT, "Time" CLOB, "Location" CLOB)
| What is the highest Round that lasted 1:44? | SELECT MAX("Round") FROM table_48249 WHERE "Time" = '1:44' | SELECT MAX("Round") FROM "table_48249" WHERE "Time" = '1:44' | 0.058594 |
CREATE TABLE table_name_95 (record VARCHAR2, score VARCHAR2)
| What is the record for the w 100-99 score? | SELECT record FROM table_name_95 WHERE score = "w 100-99" | SELECT "record" FROM "table_name_95" WHERE "score" = "w 100-99" | 0.061523 |
CREATE TABLE table_204_722 (id NUMBER, "season" CLOB, "series" CLOB, "team" CLOB, "races" NUMBER, "wins" NUMBER, "poles" NUMBER, "f/lap" NUMBER, "podiums" NUMBER, "points" NUMBER, "position" CLOB)
| what teams has the top amount of points ? | SELECT "team" FROM table_204_722 ORDER BY "points" DESC LIMIT 1 | SELECT "team" FROM "table_204_722" ORDER BY "points" DESC FETCH FIRST 1 ROWS ONLY | 0.079102 |
CREATE TABLE table_106367_2 (general_election VARCHAR2, result VARCHAR2, _percentage_of_popular_vote VARCHAR2)
| Which general election had a pq majority and a 44.75% of the popular vote? | SELECT general_election FROM table_106367_2 WHERE result = "PQ majority" AND _percentage_of_popular_vote = "44.75%" | SELECT "general_election" FROM "table_106367_2" WHERE "44.75%" = "_percentage_of_popular_vote" AND "PQ majority" = "result" | 0.120117 |
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 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)
| get me the long title and short title of procedure for procedure icd9 code 5361. | SELECT procedures.short_title, procedures.long_title FROM procedures WHERE procedures.icd9_code = "5361" | SELECT "procedures"."short_title", "procedures"."long_title" FROM "procedures" WHERE "5361" = "procedures"."icd9_code" | 0.115234 |
CREATE TABLE table_18671 ("District" CLOB, "Incumbent" CLOB, "Party" CLOB, "First elected" FLOAT, "Result" CLOB, "Candidates" CLOB)
| what are all the party with district being kansas 1 | SELECT "Party" FROM table_18671 WHERE "District" = 'Kansas 1' | SELECT "Party" FROM "table_18671" WHERE "District" = 'Kansas 1' | 0.061523 |
CREATE TABLE microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
CREATE TABLE outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
CREATE TABLE cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE icustays (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, first_careunit CLOB, last_careunit CLOB, first_wardid NUMBER, last_wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom 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 patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
CREATE TABLE diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE prescriptions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, startdate TIME, enddate TIME, drug CLOB, dose_val_rx CLOB, dose_unit_rx CLOB, route CLOB)
CREATE TABLE d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
CREATE TABLE procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE admissions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, admittime TIME, dischtime TIME, admission_type CLOB, admission_location CLOB, discharge_location CLOB, insurance CLOB, language CLOB, marital_status CLOB, ethnicity CLOB, age NUMBER)
CREATE TABLE d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE 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_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
| how many days have passed since first time during this hospital encounter patient 13054 stayed in the ward 57? | SELECT 1 * (STRFTIME('%j', CURRENT_TIME()) - STRFTIME('%j', transfers.intime)) FROM transfers WHERE transfers.icustay_id IN (SELECT icustays.icustay_id FROM icustays WHERE icustays.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 13054 AND admissions.dischtime IS NULL)) AND transfers.wardid = 57 ORDER BY transfers.intime LIMIT 1 | WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."dischtime" IS NULL AND "admissions"."subject_id" = 13054 GROUP BY "hadm_id"), "_u_1" AS (SELECT "icustays"."icustay_id" FROM "icustays" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "icustays"."hadm_id" WHERE NOT "_u_0"."" IS NULL GROUP BY "icustay_id") SELECT 1 * (STRFTIME('%j', CURRENT_TIME()) - STRFTIME('%j', "transfers"."intime")) FROM "transfers" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "transfers"."icustay_id" WHERE "transfers"."wardid" = 57 AND NOT "_u_1"."" IS NULL ORDER BY "transfers"."intime" FETCH FIRST 1 ROWS ONLY | 0.591797 |
Subsets and Splits