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CREATE TABLE table_name_1 (entrant VARCHAR2, points VARCHAR2, engine VARCHAR2, rank VARCHAR2)
| What is the entrant for the audi 3.6l turbo v8 engine and ranked 3rd with 163 points? | SELECT entrant FROM table_name_1 WHERE engine = "audi 3.6l turbo v8" AND rank = "3rd" AND points = 163 | SELECT "entrant" FROM "table_name_1" WHERE "3rd" = "rank" AND "audi 3.6l turbo v8" = "engine" AND "points" = 163 | 0.109375 |
CREATE TABLE table_66790 ("Rank" CLOB, "Goals" CLOB, "Player" CLOB, "Club" CLOB, "Season" CLOB)
| How many goals did the club from Hawthorn score in the 1971 season? | SELECT "Goals" FROM table_66790 WHERE "Club" = 'hawthorn' AND "Season" = '1971' | SELECT "Goals" FROM "table_66790" WHERE "Club" = 'hawthorn' AND "Season" = '1971' | 0.079102 |
CREATE TABLE venue (venueid NUMBER, venuename VARCHAR2)
CREATE TABLE cite (citingpaperid NUMBER, citedpaperid NUMBER)
CREATE TABLE paperkeyphrase (paperid NUMBER, keyphraseid NUMBER)
CREATE TABLE paperdataset (paperid NUMBER, datasetid NUMBER)
CREATE TABLE author (authorid NUMBER, authorname VARCHAR2)
CREATE TABLE paper (paperid NUMBER, title VARCHAR2, venueid NUMBER, year NUMBER, numciting NUMBER, numcitedby NUMBER, journalid NUMBER)
CREATE TABLE paperfield (fieldid NUMBER, paperid NUMBER)
CREATE TABLE writes (paperid NUMBER, authorid NUMBER)
CREATE TABLE field (fieldid NUMBER)
CREATE TABLE journal (journalid NUMBER, journalname VARCHAR2)
CREATE TABLE keyphrase (keyphraseid NUMBER, keyphrasename VARCHAR2)
CREATE TABLE dataset (datasetid NUMBER, datasetname VARCHAR2)
| semantic parsing by li dong | SELECT DISTINCT author.authorid, paper.paperid FROM author, keyphrase, paper, paperkeyphrase, writes WHERE author.authorname = 'li dong' AND keyphrase.keyphrasename = 'semantic parsing' AND paperkeyphrase.keyphraseid = keyphrase.keyphraseid AND paper.paperid = paperkeyphrase.paperid AND writes.authorid = author.authorid AND writes.paperid = paper.paperid | SELECT DISTINCT "author"."authorid", "paper"."paperid" FROM "author" JOIN "writes" ON "author"."authorid" = "writes"."authorid" JOIN "paper" ON "paper"."paperid" = "writes"."paperid" JOIN "paperkeyphrase" ON "paper"."paperid" = "paperkeyphrase"."paperid" JOIN "keyphrase" ON "keyphrase"."keyphraseid" = "paperkeyphrase"."keyphraseid" AND "keyphrase"."keyphrasename" = 'semantic parsing' WHERE "author"."authorname" = 'li dong' | 0.416016 |
CREATE TABLE table_6613 ("Title" CLOB, "Year" FLOAT, "Platform ( s ) " CLOB, "Director" CLOB, "Producer" CLOB)
| What 3ds game did Naohiko Aoyama direct? | SELECT "Title" FROM table_6613 WHERE "Platform(s)" = '3ds' AND "Director" = 'naohiko aoyama' | SELECT "Title" FROM "table_6613" WHERE "Director" = 'naohiko aoyama' AND "Platform(s)" = '3ds' | 0.091797 |
CREATE TABLE table_30480 ("Parent unit" CLOB, "Geschwader Base" CLOB, "Unit ( Gruppe/Staffel ) " CLOB, "Aircraft Type" CLOB, "Commanding Officer" CLOB)
| Name the aircraft type for furstenau/vorden | SELECT "Aircraft Type" FROM table_30480 WHERE "Geschwader Base" = 'Furstenau/Vorden' | SELECT "Aircraft Type" FROM "table_30480" WHERE "Geschwader Base" = 'Furstenau/Vorden' | 0.083984 |
CREATE TABLE table_19304764_2 (recognised_seats NUMBER)
| Name the least recognised seats | SELECT MIN(recognised_seats) FROM table_19304764_2 | SELECT MIN("recognised_seats") FROM "table_19304764_2" | 0.052734 |
CREATE TABLE table_11383 ("Home team" CLOB, "Home team score" CLOB, "Away team" CLOB, "Away team score" CLOB, "Venue" CLOB, "Crowd" FLOAT, "Date" CLOB)
| What is the home score with Away team score of 3.7 (25)? | SELECT "Home team score" FROM table_11383 WHERE "Away team score" = '3.7 (25)' | SELECT "Home team score" FROM "table_11383" WHERE "Away team score" = '3.7 (25)' | 0.078125 |
CREATE TABLE table_name_79 (country VARCHAR2, director VARCHAR2)
| Which Country has the Director Chen Kaige? | SELECT country FROM table_name_79 WHERE director = "chen kaige" | SELECT "country" FROM "table_name_79" WHERE "chen kaige" = "director" | 0.067383 |
CREATE TABLE table_19393 ("No. in series" FLOAT, "Title" CLOB, "Directed by" CLOB, "Written by" CLOB, "Original air date" CLOB, "Production code" FLOAT)
| What was the production code of the episode that was written by michael dante dimartino and directed by lauren macmullan? | SELECT "Production code" FROM table_19393 WHERE "Written by" = 'Michael Dante DiMartino' AND "Directed by" = 'Lauren MacMullan' | SELECT "Production code" FROM "table_19393" WHERE "Directed by" = 'Lauren MacMullan' AND "Written by" = 'Michael Dante DiMartino' | 0.125977 |
CREATE TABLE table_name_4 (tournament VARCHAR2)
| Which tournament's 2001 and 2008 were a when 2010 was qf? | SELECT tournament FROM table_name_4 WHERE 2001 = "a" AND 2008 = "a" AND 2010 = "qf" | SELECT "tournament" FROM "table_name_4" WHERE "a" = 2001 AND "a" = 2008 AND "qf" = 2010 | 0.084961 |
CREATE TABLE table_name_73 (result VARCHAR2, home_away VARCHAR2, opponent VARCHAR2)
| What is the result when you play at home against Pride | SELECT result FROM table_name_73 WHERE home_away = "home" AND opponent = "pride" | SELECT "result" FROM "table_name_73" WHERE "home" = "home_away" AND "opponent" = "pride" | 0.085938 |
CREATE TABLE table_37727 ("Favorite professional sport" CLOB, "2005" CLOB, "2008" CLOB, "2011" CLOB, "2012" CLOB)
| What is listed for the 2005 that has a 2012 of 4.2%? | SELECT "2005" FROM table_37727 WHERE "2012" = '4.2%' | SELECT "2005" FROM "table_37727" WHERE "2012" = '4.2%' | 0.052734 |
CREATE TABLE table_28176 ("Episode" FLOAT, "Reward" CLOB, "Leader Battle" CLOB, "Immunity" CLOB, "Individual Immunity" CLOB, "Eliminated" CLOB, "Vote" CLOB, "Finish" CLOB)
| Name the finish for 4-4 | SELECT "Finish" FROM table_28176 WHERE "Vote" = '4-4' | SELECT "Finish" FROM "table_28176" WHERE "Vote" = '4-4' | 0.053711 |
CREATE TABLE diagnosis (diagnosisid NUMBER, patientunitstayid NUMBER, diagnosisname CLOB, diagnosistime TIME, icd9code CLOB)
CREATE TABLE treatment (treatmentid NUMBER, patientunitstayid NUMBER, treatmentname CLOB, treatmenttime TIME)
CREATE TABLE 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 allergy (allergyid NUMBER, patientunitstayid NUMBER, drugname CLOB, allergyname CLOB, allergytime TIME)
CREATE TABLE lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime TIME)
CREATE TABLE microlab (microlabid NUMBER, patientunitstayid NUMBER, culturesite CLOB, organism CLOB, culturetakentime TIME)
CREATE TABLE patient (uniquepid CLOB, patienthealthsystemstayid NUMBER, patientunitstayid NUMBER, gender CLOB, age CLOB, ethnicity CLOB, hospitalid NUMBER, wardid NUMBER, admissionheight NUMBER, admissionweight NUMBER, dischargeweight NUMBER, hospitaladmittime TIME, hospitaladmitsource CLOB, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus CLOB)
CREATE TABLE cost (costid NUMBER, uniquepid CLOB, patienthealthsystemstayid NUMBER, eventtype CLOB, eventid NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE intakeoutput (intakeoutputid NUMBER, patientunitstayid NUMBER, cellpath CLOB, celllabel CLOB, cellvaluenumeric NUMBER, intakeoutputtime TIME)
| has patient 002-39247 received a magnesium lab until 91 months ago? | SELECT COUNT(*) > 0 FROM lab WHERE lab.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '002-39247')) AND lab.labname = 'magnesium' AND DATETIME(lab.labresulttime) <= DATETIME(CURRENT_TIME(), '-91 month') | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '002-39247' GROUP BY "patienthealthsystemstayid"), "_u_1" AS (SELECT "patient"."patientunitstayid" FROM "patient" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "patient"."patienthealthsystemstayid" WHERE NOT "_u_0"."" IS NULL GROUP BY "patientunitstayid") SELECT COUNT(*) > 0 FROM "lab" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "lab"."patientunitstayid" WHERE "lab"."labname" = 'magnesium' AND DATETIME("lab"."labresulttime") <= DATETIME(CURRENT_TIME(), '-91 month') AND NOT "_u_1"."" IS NULL | 0.575195 |
CREATE TABLE table_name_50 (director VARCHAR2, year VARCHAR2)
| Name the director for 1957 | SELECT director FROM table_name_50 WHERE year = 1957 | SELECT "director" FROM "table_name_50" WHERE "year" = 1957 | 0.056641 |
CREATE TABLE table_2817196_1 (points NUMBER)
| What is the largest number of points in a season? | SELECT MAX(points) FROM table_2817196_1 | SELECT MAX("points") FROM "table_2817196_1" | 0.041992 |
CREATE TABLE table_name_87 (player VARCHAR2, position VARCHAR2, round VARCHAR2)
| Which player was defensive back after round 3? | SELECT player FROM table_name_87 WHERE position = "defensive back" AND round > 3 | SELECT "player" FROM "table_name_87" WHERE "defensive back" = "position" AND "round" > 3 | 0.085938 |
CREATE TABLE TagSynonyms (Id NUMBER, SourceTagName CLOB, TargetTagName CLOB, CreationDate TIME, OwnerUserId NUMBER, AutoRenameCount NUMBER, LastAutoRename TIME, Score NUMBER, ApprovedByUserId NUMBER, ApprovalDate TIME)
CREATE TABLE Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
CREATE TABLE 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 Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount NUMBER)
CREATE TABLE ReviewTaskTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE ReviewTaskResultTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment 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 VoteTypes (Id NUMBER, Name CLOB)
CREATE TABLE PostTypes (Id NUMBER, Name CLOB)
CREATE TABLE ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
CREATE TABLE SuggestedEditVotes (Id NUMBER, SuggestedEditId NUMBER, UserId NUMBER, VoteTypeId NUMBER, CreationDate TIME, TargetUserId NUMBER, TargetRepChange NUMBER)
CREATE TABLE PostHistoryTypes (Id NUMBER, Name CLOB)
CREATE TABLE PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId NUMBER)
CREATE TABLE ReviewTaskStates (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 PostTags (PostId NUMBER, TagId NUMBER)
CREATE TABLE PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
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 PostHistory (Id NUMBER, PostHistoryTypeId NUMBER, PostId NUMBER, RevisionGUID other, CreationDate TIME, UserId NUMBER, UserDisplayName CLOB, Comment CLOB, Text CLOB, ContentLicense CLOB)
CREATE TABLE Users (Id NUMBER, Reputation NUMBER, CreationDate TIME, DisplayName CLOB, LastAccessDate TIME, WebsiteUrl CLOB, Location CLOB, AboutMe CLOB, Views NUMBER, UpVotes NUMBER, DownVotes NUMBER, ProfileImageUrl CLOB, EmailHash CLOB, AccountId NUMBER)
CREATE TABLE CloseAsOffTopicReasonTypes (Id NUMBER, IsUniversal BOOLEAN, InputTitle CLOB, MarkdownInputGuidance CLOB, MarkdownPostOwnerGuidance CLOB, MarkdownPrivilegedUserGuidance CLOB, MarkdownConcensusDescription CLOB, CreationDate TIME, CreationModeratorId NUMBER, ApprovalDate TIME, ApprovalModeratorId NUMBER, DeactivationDate TIME, DeactivationModeratorId NUMBER)
CREATE TABLE PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId NUMBER)
CREATE TABLE Comments (Id NUMBER, PostId NUMBER, Score NUMBER, Text CLOB, CreationDate TIME, UserDisplayName CLOB, UserId NUMBER, ContentLicense CLOB)
CREATE TABLE ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId NUMBER)
CREATE TABLE FlagTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE CloseReasonTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
| Top percentile by Tag , Country and User. | SELECT STR(NTILE(100) OVER (ORDER BY SUM(answers.Score) DESC), 3) + '%' AS "top", ROW_NUMBER() OVER (ORDER BY SUM(answers.Score) DESC) AS "ranking", Users.Id AS "user_link", SUM(answers.Score) AS "total_score" FROM Tags JOIN PostTags ON Tags.Id = PostTags.TagId AND Tags.TagName = '##TagName##' JOIN Posts AS questions ON questions.Id = PostTags.PostId AND questions.CommunityOwnedDate IS NULL JOIN Posts AS answers ON answers.ParentId = questions.Id AND answers.Score != 0 AND NOT answers.OwnerUserId IS NULL AND answers.CommunityOwnedDate IS NULL JOIN Users ON answers.OwnerUserId = Users.Id WHERE LOWER(Location) LIKE LOWER('%##CountryName##%') GROUP BY Users.Id LIMIT 51 | SELECT STR(NTILE(100) OVER (ORDER BY SUM("answers"."Score") DESC), 3) + '%' AS "top", ROW_NUMBER() OVER (ORDER BY SUM("answers"."Score") DESC) AS "ranking", "Users"."Id" AS "user_link", SUM("answers"."Score") AS "total_score" FROM "Tags" JOIN "PostTags" ON "PostTags"."TagId" = "Tags"."Id" AND "Tags"."TagName" = '##TagName##' JOIN "Posts" "questions" ON "PostTags"."PostId" = "questions"."Id" AND "questions"."CommunityOwnedDate" IS NULL JOIN "Posts" "answers" ON "answers"."CommunityOwnedDate" IS NULL AND "answers"."ParentId" = "questions"."Id" AND "answers"."Score" <> 0 AND NOT "answers"."OwnerUserId" IS NULL JOIN "Users" ON "Users"."Id" = "answers"."OwnerUserId" WHERE LOWER("Location") LIKE LOWER('%##CountryName##%') GROUP BY "Users"."Id" FETCH FIRST 51 ROWS ONLY | 0.753906 |
CREATE TABLE table_25664518_4 (viewers__millions_ VARCHAR2)
| Who were the 3rd couple that were viewed by 4.89 million viewers? | SELECT 3 AS rd_couple FROM table_25664518_4 WHERE viewers__millions_ = "4.89" | SELECT 3 AS "rd_couple" FROM "table_25664518_4" WHERE "4.89" = "viewers__millions_" | 0.081055 |
CREATE TABLE locations (LOCATION_ID NUMBER, STREET_ADDRESS VARCHAR2, POSTAL_CODE VARCHAR2, CITY VARCHAR2, STATE_PROVINCE VARCHAR2, COUNTRY_ID VARCHAR2)
CREATE TABLE jobs (JOB_ID VARCHAR2, JOB_TITLE VARCHAR2, MIN_SALARY NUMBER, MAX_SALARY NUMBER)
CREATE TABLE job_history (EMPLOYEE_ID NUMBER, START_DATE DATE, END_DATE DATE, JOB_ID VARCHAR2, DEPARTMENT_ID NUMBER)
CREATE TABLE countries (COUNTRY_ID VARCHAR2, COUNTRY_NAME VARCHAR2, REGION_ID NUMBER)
CREATE TABLE regions (REGION_ID NUMBER, REGION_NAME VARCHAR2)
CREATE TABLE departments (DEPARTMENT_ID NUMBER, DEPARTMENT_NAME VARCHAR2, MANAGER_ID NUMBER, LOCATION_ID NUMBER)
CREATE TABLE employees (EMPLOYEE_ID NUMBER, FIRST_NAME VARCHAR2, LAST_NAME VARCHAR2, EMAIL VARCHAR2, PHONE_NUMBER VARCHAR2, HIRE_DATE DATE, JOB_ID VARCHAR2, SALARY NUMBER, COMMISSION_PCT NUMBER, MANAGER_ID NUMBER, DEPARTMENT_ID NUMBER)
| For those employees who did not have any job in the past, visualize a bar chart about the distribution of hire_date and the sum of salary bin hire_date by time, sort total number in ascending order. | SELECT HIRE_DATE, SUM(SALARY) FROM employees WHERE NOT EMPLOYEE_ID IN (SELECT EMPLOYEE_ID FROM job_history) ORDER BY SUM(SALARY) | SELECT "HIRE_DATE", SUM("SALARY") FROM "employees" WHERE NOT "EMPLOYEE_ID" IN (SELECT "EMPLOYEE_ID" FROM "job_history") ORDER BY SUM("SALARY") | 0.138672 |
CREATE TABLE table_40224 ("Date" CLOB, "Tournament" CLOB, "Winning score" CLOB, "Margin of victory" CLOB, "Runner ( s ) -up" CLOB)
| What is Date, when Tournament is Alfred Dunhill Championship 1? | SELECT "Date" FROM table_40224 WHERE "Tournament" = 'alfred dunhill championship 1' | SELECT "Date" FROM "table_40224" WHERE "Tournament" = 'alfred dunhill championship 1' | 0.083008 |
CREATE TABLE table_23308178_4 (record VARCHAR2, date VARCHAR2)
| What was the record on October 17? | SELECT record FROM table_23308178_4 WHERE date = "October 17" | SELECT "record" FROM "table_23308178_4" WHERE "October 17" = "date" | 0.06543 |
CREATE TABLE table_26774 ("Conference" CLOB, "Regular Season Winner" CLOB, "Conference Player of the Year" CLOB, "Conference Tournament" CLOB, "Tournament Venue ( City ) " CLOB, "Tournament Winner" CLOB)
| In what city did oklahoma win the tournament. | SELECT "Tournament Venue (City)" FROM table_26774 WHERE "Tournament Winner" = 'Oklahoma' | SELECT "Tournament Venue (City)" FROM "table_26774" WHERE "Tournament Winner" = 'Oklahoma' | 0.087891 |
CREATE TABLE table_name_14 (touchdowns NUMBER, player VARCHAR2, yards VARCHAR2)
| What is the lowest Touchdowns, when Player is Andrew Glover, and when Yards is greater than 281? | SELECT MIN(touchdowns) FROM table_name_14 WHERE player = "andrew glover" AND yards > 281 | SELECT MIN("touchdowns") FROM "table_name_14" WHERE "andrew glover" = "player" AND "yards" > 281 | 0.09375 |
CREATE TABLE table_name_6 (losses NUMBER, conceded VARCHAR2, wins VARCHAR2)
| How many loses does the team have that conceded 25 and won more than 6 games? | SELECT SUM(losses) FROM table_name_6 WHERE conceded = 25 AND wins > 6 | SELECT SUM("losses") FROM "table_name_6" WHERE "conceded" = 25 AND "wins" > 6 | 0.075195 |
CREATE TABLE table_name_66 (date VARCHAR2, meet VARCHAR2, time VARCHAR2)
| On what Date was the Meet of 2007 Pan American Games with a Time of 1:07.78? | SELECT date FROM table_name_66 WHERE meet = "2007 pan american games" AND time = "1:07.78" | SELECT "date" FROM "table_name_66" WHERE "1:07.78" = "time" AND "2007 pan american games" = "meet" | 0.095703 |
CREATE TABLE table_1894 ("Position" FLOAT, "Sail Number" CLOB, "Yacht" CLOB, "State/Country" CLOB, "Yacht Type" CLOB, "LOA ( Metres ) " CLOB, "Skipper" CLOB, "Elapsed Time d:hh:mm:ss" CLOB)
| When 17.07 is the loa (metres) what is the type of yacht? | SELECT "Yacht Type" FROM table_1894 WHERE "LOA (Metres)" = '17.07' | SELECT "Yacht Type" FROM "table_1894" WHERE "LOA (Metres)" = '17.07' | 0.066406 |
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 diagnosis (diagnosisid NUMBER, patientunitstayid NUMBER, diagnosisname CLOB, diagnosistime TIME, icd9code CLOB)
CREATE TABLE medication (medicationid NUMBER, patientunitstayid NUMBER, drugname CLOB, dosage CLOB, routeadmin CLOB, drugstarttime TIME, drugstoptime TIME)
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 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)
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)
| what is the monthly minimum dose of propofol given to patient 022-78423 since 3 months ago? | SELECT MIN(intakeoutput.cellvaluenumeric) FROM intakeoutput WHERE intakeoutput.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '022-78423')) AND intakeoutput.celllabel = 'propofol' AND intakeoutput.cellpath LIKE '%intake%' AND DATETIME(intakeoutput.intakeoutputtime) >= DATETIME(CURRENT_TIME(), '-3 month') GROUP BY STRFTIME('%y-%m', intakeoutput.intakeoutputtime) | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '022-78423' 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 MIN("intakeoutput"."cellvaluenumeric") FROM "intakeoutput" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "intakeoutput"."patientunitstayid" WHERE "intakeoutput"."celllabel" = 'propofol' AND "intakeoutput"."cellpath" LIKE '%intake%' AND DATETIME("intakeoutput"."intakeoutputtime") >= DATETIME(CURRENT_TIME(), '-3 month') AND NOT "_u_1"."" IS NULL GROUP BY STRFTIME('%y-%m', "intakeoutput"."intakeoutputtime") | 0.744141 |
CREATE TABLE table_name_87 (date VARCHAR2, tournament VARCHAR2)
| What is Date, when Tournament is Alfred Dunhill Championship 1? | SELECT date FROM table_name_87 WHERE tournament = "alfred dunhill championship 1" | SELECT "date" FROM "table_name_87" WHERE "alfred dunhill championship 1" = "tournament" | 0.084961 |
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 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)
| how many patients on sc route of drug administration were born before the year 2041? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.dob_year < "2041" AND prescriptions.route = "SC" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "prescriptions" ON "SC" = "prescriptions"."route" AND "demographic"."hadm_id" = "prescriptions"."hadm_id" WHERE "2041" > "demographic"."dob_year" | 0.213867 |
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 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)
| how many divorced patients have celo-vessicle fistula primary disease? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.marital_status = "DIVORCED" AND demographic.diagnosis = "CELO-VESSICLE FISTULA" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "CELO-VESSICLE FISTULA" = "demographic"."diagnosis" AND "DIVORCED" = "demographic"."marital_status" | 0.169922 |
CREATE TABLE table_22258 ("#" FLOAT, "Cover Date" CLOB, "Story Title" CLOB, "Writer/s" CLOB, "Artist/s" CLOB, "Letterer/s" CLOB, "Colourist/s" CLOB, "Editor/s" CLOB, "Comments" CLOB)
| What is the comment on the issue dated 14 March 1987? | SELECT "Comments" FROM table_22258 WHERE "Cover Date" = '14 March 1987' | SELECT "Comments" FROM "table_22258" WHERE "Cover Date" = '14 March 1987' | 0.071289 |
CREATE TABLE lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime TIME)
CREATE TABLE allergy (allergyid NUMBER, patientunitstayid NUMBER, drugname CLOB, allergyname CLOB, allergytime TIME)
CREATE TABLE treatment (treatmentid NUMBER, patientunitstayid NUMBER, treatmentname CLOB, treatmenttime TIME)
CREATE TABLE 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 cost (costid NUMBER, uniquepid CLOB, patienthealthsystemstayid NUMBER, eventtype CLOB, eventid NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE intakeoutput (intakeoutputid NUMBER, patientunitstayid NUMBER, cellpath CLOB, celllabel CLOB, cellvaluenumeric NUMBER, intakeoutputtime TIME)
CREATE TABLE diagnosis (diagnosisid NUMBER, patientunitstayid NUMBER, diagnosisname CLOB, diagnosistime TIME, icd9code 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 medication (medicationid NUMBER, patientunitstayid NUMBER, drugname CLOB, dosage CLOB, routeadmin CLOB, drugstarttime TIME, drugstoptime TIME)
| what is the yearly average amount of output amt-chest tube a that patient 005-48105 had since 07/20/2105? | SELECT AVG(intakeoutput.cellvaluenumeric) FROM intakeoutput WHERE intakeoutput.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '005-48105')) AND intakeoutput.celllabel = 'output amt-chest tube a' AND intakeoutput.cellpath LIKE '%output%' AND STRFTIME('%y-%m-%d', intakeoutput.intakeoutputtime) >= '2105-07-20' GROUP BY STRFTIME('%y', intakeoutput.intakeoutputtime) | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '005-48105' 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 AVG("intakeoutput"."cellvaluenumeric") FROM "intakeoutput" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "intakeoutput"."patientunitstayid" WHERE "intakeoutput"."celllabel" = 'output amt-chest tube a' AND "intakeoutput"."cellpath" LIKE '%output%' AND NOT "_u_1"."" IS NULL AND STRFTIME('%y-%m-%d', "intakeoutput"."intakeoutputtime") >= '2105-07-20' GROUP BY STRFTIME('%y', "intakeoutput"."intakeoutputtime") | 0.744141 |
CREATE TABLE table_name_13 (rating___percentage_ NUMBER, channel VARCHAR2, share___percentage_ VARCHAR2)
| Name the average rating % for shandong satellite tv and share % less than 1.74 | SELECT AVG(rating___percentage_) FROM table_name_13 WHERE channel = "shandong satellite tv" AND share___percentage_ < 1.74 | SELECT AVG("rating___percentage_") FROM "table_name_13" WHERE "channel" = "shandong satellite tv" AND "share___percentage_" < 1.74 | 0.126953 |
CREATE TABLE book (Book_ID NUMBER, Title CLOB, Issues FLOAT, Writer CLOB)
CREATE TABLE publication (Publication_ID NUMBER, Book_ID NUMBER, Publisher CLOB, Publication_Date CLOB, Price FLOAT)
| A bar chart showing the number of publication dates of books. | SELECT Publication_Date, COUNT(Publication_Date) FROM publication GROUP BY Publication_Date | SELECT "Publication_Date", COUNT("Publication_Date") FROM "publication" GROUP BY "Publication_Date" | 0.09668 |
CREATE TABLE table_2679061_2 (pick__number NUMBER, nhl_team VARCHAR2, college_junior_club_team VARCHAR2)
| what is the pick # when the nhl team is montreal canadiens and the college/junior/club team is trois-rivi res draveurs (qmjhl)? | SELECT MIN(pick__number) FROM table_2679061_2 WHERE nhl_team = "Montreal Canadiens" AND college_junior_club_team = "Trois-Rivières Draveurs (QMJHL)" | SELECT MIN("pick__number") FROM "table_2679061_2" WHERE "Montreal Canadiens" = "nhl_team" AND "Trois-Rivières Draveurs (QMJHL)" = "college_junior_club_team" | 0.152344 |
CREATE TABLE table_29391888_1 (season__number VARCHAR2, production_code VARCHAR2)
| What is the season # for the production code 3.89? | SELECT season__number FROM table_29391888_1 WHERE production_code = "3.89" | SELECT "season__number" FROM "table_29391888_1" WHERE "3.89" = "production_code" | 0.078125 |
CREATE TABLE table_name_11 (quantity VARCHAR2, type VARCHAR2)
| How much Quantity has a Type of 1 c1 h2t? | SELECT COUNT(quantity) FROM table_name_11 WHERE type = "1′c1′ h2t" | SELECT COUNT("quantity") FROM "table_name_11" WHERE "1′c1′ h2t" = "type" | 0.070313 |
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 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 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_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title 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 d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
CREATE TABLE diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
CREATE TABLE patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod 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 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 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 inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
| calculate the number of patients who have stayed in the 54 ward since 2 years ago. | SELECT COUNT(DISTINCT admissions.subject_id) FROM admissions WHERE admissions.hadm_id IN (SELECT transfers.hadm_id FROM transfers WHERE transfers.wardid = 54 AND DATETIME(transfers.intime) >= DATETIME(CURRENT_TIME(), '-2 year')) | WITH "_u_0" AS (SELECT "transfers"."hadm_id" FROM "transfers" WHERE "transfers"."wardid" = 54 AND DATETIME("transfers"."intime") >= DATETIME(CURRENT_TIME(), '-2 year') GROUP BY "hadm_id") SELECT COUNT(DISTINCT "admissions"."subject_id") FROM "admissions" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "admissions"."hadm_id" WHERE NOT "_u_0"."" IS NULL | 0.335938 |
CREATE TABLE table_6901 ("Year" CLOB, "Playoff round" CLOB, "Venue" CLOB, "Winner" CLOB, "Result" CLOB, "Loser" CLOB)
| What team was the loser when the result was 119 113? | SELECT "Loser" FROM table_6901 WHERE "Result" = '119–113' | SELECT "Loser" FROM "table_6901" WHERE "Result" = '119–113' | 0.057617 |
CREATE TABLE ground_service (city_code CLOB, airport_code CLOB, transport_type CLOB, ground_fare NUMBER)
CREATE TABLE class_of_service (booking_class VARCHAR2, rank NUMBER, class_description CLOB)
CREATE TABLE state (state_code CLOB, state_name CLOB, country_name CLOB)
CREATE TABLE flight_fare (flight_id NUMBER, fare_id NUMBER)
CREATE TABLE flight_leg (flight_id NUMBER, leg_number NUMBER, leg_flight NUMBER)
CREATE TABLE food_service (meal_code CLOB, meal_number NUMBER, compartment CLOB, meal_description VARCHAR2)
CREATE TABLE equipment_sequence (aircraft_code_sequence VARCHAR2, aircraft_code VARCHAR2)
CREATE TABLE airline (airline_code VARCHAR2, airline_name CLOB, note CLOB)
CREATE TABLE date_day (month_number NUMBER, day_number NUMBER, year NUMBER, day_name VARCHAR2)
CREATE TABLE dual_carrier (main_airline VARCHAR2, low_flight_number NUMBER, high_flight_number NUMBER, dual_airline VARCHAR2, service_name CLOB)
CREATE TABLE 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 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 code_description (code VARCHAR2, description CLOB)
CREATE TABLE airport_service (city_code VARCHAR2, airport_code VARCHAR2, miles_distant NUMBER, direction VARCHAR2, minutes_distant 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 city (city_code VARCHAR2, city_name VARCHAR2, state_code VARCHAR2, country_name VARCHAR2, time_zone_code VARCHAR2)
CREATE TABLE compartment_class (compartment VARCHAR2, class_type 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 days (days_code VARCHAR2, day_name 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_interval (period CLOB, begin_time NUMBER, end_time NUMBER)
CREATE TABLE time_zone (time_zone_code CLOB, time_zone_name CLOB, hours_from_gmt NUMBER)
CREATE TABLE month (month_number NUMBER, month_name 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)
| what flights from MINNEAPOLIS to PITTSBURGH | 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 = 'MINNEAPOLIS' AND CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'PITTSBURGH' 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" = 'MINNEAPOLIS' 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" = 'PITTSBURGH' | 0.489258 |
CREATE TABLE table_23563 ("English Name" CLOB, "Simplified" CLOB, "Traditional" CLOB, "Pinyin" CLOB, "Foochow" CLOB, "Area" FLOAT, "Population" FLOAT, "Density" FLOAT)
| Name the traditional for area 544 | SELECT "Traditional" FROM table_23563 WHERE "Area" = '544' | SELECT "Traditional" FROM "table_23563" WHERE "Area" = '544' | 0.058594 |
CREATE TABLE table_6349 ("Country" CLOB, "Gold" FLOAT, "Silver" FLOAT, "Bronze" FLOAT, "Total" FLOAT)
| What is the total when the gold of 0, and a bronze larger than 1? | SELECT MAX("Total") FROM table_6349 WHERE "Gold" = '0' AND "Bronze" > '1' | SELECT MAX("Total") FROM "table_6349" WHERE "Bronze" > '1' AND "Gold" = '0' | 0.073242 |
CREATE TABLE table_name_31 (written_by VARCHAR2, originalairdate VARCHAR2)
| What is Written By, when Originalairdate is 25 April 1993? | SELECT written_by FROM table_name_31 WHERE originalairdate = "25 april 1993" | SELECT "written_by" FROM "table_name_31" WHERE "25 april 1993" = "originalairdate" | 0.080078 |
CREATE TABLE program (program_id NUMBER, name VARCHAR2, college VARCHAR2, introduction VARCHAR2)
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 ta (campus_job_id NUMBER, student_id NUMBER, location VARCHAR2)
CREATE TABLE program_course (program_id NUMBER, course_id NUMBER, workload NUMBER, category VARCHAR2)
CREATE TABLE comment_instructor (instructor_id NUMBER, student_id NUMBER, score NUMBER, comment_text 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 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 offering_instructor (offering_instructor_id NUMBER, offering_id NUMBER, instructor_id NUMBER)
CREATE TABLE gsi (course_offering_id NUMBER, student_id NUMBER)
CREATE TABLE semester (semester_id NUMBER, semester VARCHAR2, year 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 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 requirement (requirement_id NUMBER, requirement VARCHAR2, college VARCHAR2)
CREATE TABLE program_requirement (program_id NUMBER, category VARCHAR2, min_credit NUMBER, additional_req 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_prerequisite (pre_course_id NUMBER, course_id NUMBER)
CREATE TABLE instructor (instructor_id NUMBER, name VARCHAR2, uniqname VARCHAR2)
| What classes has Dr. Steven Heeringa taught ? | SELECT DISTINCT course.department, course.name, course.number FROM course, course_offering, instructor, offering_instructor WHERE course_offering.semester < (SELECT SEMESTERalias0.semester_id FROM semester AS SEMESTERalias0 WHERE SEMESTERalias0.semester = 'WN' AND SEMESTERalias0.year = 2016) AND course.course_id = course_offering.course_id AND instructor.name LIKE '%Steven Heeringa%' AND offering_instructor.instructor_id = instructor.instructor_id AND offering_instructor.offering_id = course_offering.offering_id | SELECT DISTINCT "course"."department", "course"."name", "course"."number" FROM "course" JOIN "course_offering" ON "course"."course_id" = "course_offering"."course_id" JOIN "semester" "SEMESTERalias0" ON "SEMESTERalias0"."semester" = 'WN' AND "SEMESTERalias0"."semester_id" > "course_offering"."semester" AND "SEMESTERalias0"."year" = 2016 JOIN "offering_instructor" ON "course_offering"."offering_id" = "offering_instructor"."offering_id" JOIN "instructor" ON "instructor"."instructor_id" = "offering_instructor"."instructor_id" AND "instructor"."name" LIKE '%Steven Heeringa%' | 0.563477 |
CREATE TABLE PostTags (PostId NUMBER, TagId NUMBER)
CREATE TABLE ReviewTaskTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate 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 Comments (Id NUMBER, PostId NUMBER, Score NUMBER, Text CLOB, CreationDate TIME, UserDisplayName CLOB, UserId NUMBER, ContentLicense CLOB)
CREATE TABLE ReviewTaskStates (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 PostHistoryTypes (Id NUMBER, Name CLOB)
CREATE TABLE PostsWithDeleted (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE SuggestedEditVotes (Id NUMBER, SuggestedEditId NUMBER, UserId NUMBER, VoteTypeId NUMBER, CreationDate TIME, TargetUserId NUMBER, TargetRepChange 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 PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId 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 ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId NUMBER)
CREATE TABLE Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
CREATE TABLE ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment CLOB)
CREATE TABLE PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId NUMBER)
CREATE TABLE VoteTypes (Id NUMBER, Name 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 ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
CREATE TABLE CloseReasonTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE ReviewTaskResultTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE FlagTypes (Id NUMBER, Name CLOB, Description 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 Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount NUMBER)
CREATE TABLE PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
CREATE TABLE CloseAsOffTopicReasonTypes (Id NUMBER, IsUniversal BOOLEAN, InputTitle CLOB, MarkdownInputGuidance CLOB, MarkdownPostOwnerGuidance CLOB, MarkdownPrivilegedUserGuidance CLOB, MarkdownConcensusDescription CLOB, CreationDate TIME, CreationModeratorId NUMBER, ApprovalDate TIME, ApprovalModeratorId NUMBER, DeactivationDate TIME, DeactivationModeratorId NUMBER)
CREATE TABLE Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
| Reputa o m dia do Stack Overflow. | SELECT AVG(Users.Reputation) FROM Users | SELECT AVG("Users"."Reputation") FROM "Users" | 0.043945 |
CREATE TABLE table_34178 ("Ranking" FLOAT, "Nationality" CLOB, "Name" CLOB, "Goals" FLOAT, "Years" CLOB)
| Name the years for spain with 215 goals | SELECT "Years" FROM table_34178 WHERE "Nationality" = 'spain' AND "Goals" = '215' | SELECT "Years" FROM "table_34178" WHERE "Goals" = '215' AND "Nationality" = 'spain' | 0.081055 |
CREATE TABLE vocals (songid VARCHAR2)
CREATE TABLE songs (songid VARCHAR2)
| How many songs have a lead vocal? | SELECT COUNT(DISTINCT title) FROM vocals AS T1 JOIN songs AS T2 ON T1.songid = T2.songid WHERE TYPE = "lead" | SELECT COUNT(DISTINCT "title") FROM "vocals" "T1" JOIN "songs" "T2" ON "T1"."songid" = "T2"."songid" WHERE "TYPE" = "lead" | 0.119141 |
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)
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)
| what is minimum age of patients whose marital status is divorced and primary disease is overdose? | SELECT MIN(demographic.age) FROM demographic WHERE demographic.marital_status = "DIVORCED" AND demographic.diagnosis = "OVERDOSE" | SELECT MIN("demographic"."age") FROM "demographic" WHERE "DIVORCED" = "demographic"."marital_status" AND "OVERDOSE" = "demographic"."diagnosis" | 0.139648 |
CREATE TABLE resultsdata15 (sample_pk NUMBER, commod CLOB, commtype CLOB, lab CLOB, pestcode CLOB, testclass CLOB, concen NUMBER, lod NUMBER, conunit CLOB, confmethod CLOB, confmethod2 CLOB, annotate CLOB, quantitate CLOB, mean CLOB, extract CLOB, determin CLOB)
CREATE TABLE sampledata15 (sample_pk NUMBER, state CLOB, year CLOB, month CLOB, day CLOB, site CLOB, commod CLOB, source_id CLOB, variety CLOB, origin CLOB, country CLOB, disttype CLOB, commtype CLOB, claim CLOB, quantity NUMBER, growst CLOB, packst CLOB, distst CLOB)
| What's the code for confirmation for the latest sample? | SELECT confmethod FROM resultsdata15 AS T2 JOIN sampledata15 AS T1 ON T1.sample_pk = T2.sample_pk ORDER BY year, month, day DESC LIMIT 1 | SELECT "confmethod" FROM "resultsdata15" "T2" JOIN "sampledata15" "T1" ON "T1"."sample_pk" = "T2"."sample_pk" ORDER BY "year", "month", "day" DESC FETCH FIRST 1 ROWS ONLY | 0.166016 |
CREATE TABLE table_name_57 (launched VARCHAR2, builder VARCHAR2)
| what is the launched date when the builder is john brown, clydebank? | SELECT launched FROM table_name_57 WHERE builder = "john brown, clydebank" | SELECT "launched" FROM "table_name_57" WHERE "builder" = "john brown, clydebank" | 0.078125 |
CREATE TABLE table_name_88 (driver VARCHAR2, laps VARCHAR2, grid VARCHAR2)
| Which driver had a grid of 18 with 68 laps? | SELECT driver FROM table_name_88 WHERE laps = "68" AND grid = "18" | SELECT "driver" FROM "table_name_88" WHERE "18" = "grid" AND "68" = "laps" | 0.072266 |
CREATE TABLE table_name_85 (home_team VARCHAR2, attendance VARCHAR2)
| What is the home team at the game with an Attendance of 2,029? | SELECT home_team FROM table_name_85 WHERE attendance = "2,029" | SELECT "home_team" FROM "table_name_85" WHERE "2,029" = "attendance" | 0.066406 |
CREATE TABLE table_9171 ("Date" CLOB, "Venue" CLOB, "Score" CLOB, "Result" CLOB, "Competition" CLOB)
| What was the venue when the result was 3-2? | SELECT "Venue" FROM table_9171 WHERE "Result" = '3-2' | SELECT "Venue" FROM "table_9171" WHERE "Result" = '3-2' | 0.053711 |
CREATE TABLE table_75203 ("Rank" FLOAT, "Nation" CLOB, "Gold" FLOAT, "Silver" FLOAT, "Bronze" FLOAT, "Total" FLOAT)
| What is the rank of the team with 0 gold and less than 0 silvers? | SELECT SUM("Rank") FROM table_75203 WHERE "Gold" = '0' AND "Silver" < '0' | SELECT SUM("Rank") FROM "table_75203" WHERE "Gold" = '0' AND "Silver" < '0' | 0.073242 |
CREATE TABLE compartment_class (compartment VARCHAR2, class_type VARCHAR2)
CREATE TABLE time_interval (period CLOB, begin_time NUMBER, end_time NUMBER)
CREATE TABLE class_of_service (booking_class VARCHAR2, rank NUMBER, class_description CLOB)
CREATE TABLE time_zone (time_zone_code CLOB, time_zone_name CLOB, hours_from_gmt NUMBER)
CREATE TABLE days (days_code VARCHAR2, day_name VARCHAR2)
CREATE TABLE state (state_code CLOB, state_name CLOB, country_name CLOB)
CREATE TABLE flight_fare (flight_id NUMBER, fare_id NUMBER)
CREATE TABLE airport_service (city_code VARCHAR2, airport_code VARCHAR2, miles_distant NUMBER, direction VARCHAR2, minutes_distant NUMBER)
CREATE TABLE equipment_sequence (aircraft_code_sequence VARCHAR2, aircraft_code VARCHAR2)
CREATE TABLE month (month_number NUMBER, month_name CLOB)
CREATE TABLE aircraft (aircraft_code VARCHAR2, aircraft_description VARCHAR2, manufacturer VARCHAR2, basic_type VARCHAR2, engines NUMBER, propulsion VARCHAR2, wide_body VARCHAR2, wing_span NUMBER, length NUMBER, weight NUMBER, capacity NUMBER, pay_load NUMBER, cruising_speed NUMBER, range_miles NUMBER, pressurized VARCHAR2)
CREATE TABLE 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 ground_service (city_code CLOB, airport_code CLOB, transport_type CLOB, ground_fare 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 code_description (code VARCHAR2, description 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 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 dual_carrier (main_airline VARCHAR2, low_flight_number NUMBER, high_flight_number NUMBER, dual_airline VARCHAR2, service_name CLOB)
CREATE TABLE airline (airline_code VARCHAR2, airline_name CLOB, note CLOB)
CREATE TABLE date_day (month_number NUMBER, day_number NUMBER, year NUMBER, day_name 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 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 city (city_code VARCHAR2, city_name VARCHAR2, state_code VARCHAR2, country_name VARCHAR2, time_zone_code VARCHAR2)
CREATE TABLE flight_leg (flight_id NUMBER, leg_number NUMBER, leg_flight NUMBER)
| show me flights to SAN FRANCISCO from PHILADELPHIA stopping in DALLAS | SELECT DISTINCT flight.flight_id FROM airport_service AS AIRPORT_SERVICE_0, airport_service AS AIRPORT_SERVICE_1, airport_service AS AIRPORT_SERVICE_2, city AS CITY_0, city AS CITY_1, city AS CITY_2, flight, flight_stop WHERE (CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'SAN FRANCISCO' AND CITY_2.city_code = AIRPORT_SERVICE_2.city_code AND CITY_2.city_name = 'DALLAS' AND flight_stop.stop_airport = AIRPORT_SERVICE_2.airport_code AND flight.flight_id = flight_stop.flight_id AND flight.to_airport = AIRPORT_SERVICE_1.airport_code) AND CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'PHILADELPHIA' AND flight.from_airport = AIRPORT_SERVICE_0.airport_code | SELECT DISTINCT "flight"."flight_id" FROM "airport_service" "AIRPORT_SERVICE_0" JOIN "city" "CITY_0" ON "AIRPORT_SERVICE_0"."city_code" = "CITY_0"."city_code" AND "CITY_0"."city_name" = 'PHILADELPHIA' JOIN "flight" ON "AIRPORT_SERVICE_0"."airport_code" = "flight"."from_airport" JOIN "airport_service" "AIRPORT_SERVICE_1" ON "AIRPORT_SERVICE_1"."airport_code" = "flight"."to_airport" JOIN "flight_stop" ON "flight"."flight_id" = "flight_stop"."flight_id" JOIN "airport_service" "AIRPORT_SERVICE_2" ON "AIRPORT_SERVICE_2"."airport_code" = "flight_stop"."stop_airport" JOIN "city" "CITY_1" ON "AIRPORT_SERVICE_1"."city_code" = "CITY_1"."city_code" AND "CITY_1"."city_name" = 'SAN FRANCISCO' JOIN "city" "CITY_2" ON "AIRPORT_SERVICE_2"."city_code" = "CITY_2"."city_code" AND "CITY_2"."city_name" = 'DALLAS' | 0.78418 |
CREATE TABLE classroom (building CLOB, room_number CLOB, capacity NUMBER)
CREATE TABLE section (course_id CLOB, sec_id CLOB, semester CLOB, year NUMBER, building CLOB, room_number CLOB, time_slot_id CLOB)
CREATE TABLE advisor (s_id CLOB, i_id CLOB)
CREATE TABLE student (id CLOB, name CLOB, dept_name CLOB, tot_cred NUMBER)
CREATE TABLE prereq (course_id CLOB, prereq_id CLOB)
CREATE TABLE course (course_id CLOB, title CLOB, dept_name CLOB, credits NUMBER)
CREATE TABLE instructor (id CLOB, name CLOB, dept_name CLOB, salary NUMBER)
CREATE TABLE takes (id CLOB, course_id CLOB, sec_id CLOB, semester CLOB, year NUMBER, grade CLOB)
CREATE TABLE time_slot (time_slot_id CLOB, day CLOB, start_hr NUMBER, start_min NUMBER, end_hr NUMBER, end_min NUMBER)
CREATE TABLE department (dept_name CLOB, building CLOB, budget NUMBER)
CREATE TABLE teaches (id CLOB, course_id CLOB, sec_id CLOB, semester CLOB, year NUMBER)
| What are the titles of courses that are offered in more than one department? | SELECT title FROM course GROUP BY title HAVING COUNT(*) > 1 | SELECT "title" FROM "course" GROUP BY "title" HAVING COUNT(*) > 1 | 0.063477 |
CREATE TABLE table_80169 ("Representative" CLOB, "Years" CLOB, "State" CLOB, "Party" CLOB, "Lifespan" CLOB)
| What is the lifespan of Joseph Vance, a democratic-republican from Ohio? | SELECT "Lifespan" FROM table_80169 WHERE "State" = 'ohio' AND "Representative" = 'joseph vance' AND "Party" = 'democratic-republican' | SELECT "Lifespan" FROM "table_80169" WHERE "Party" = 'democratic-republican' AND "Representative" = 'joseph vance' AND "State" = 'ohio' | 0.131836 |
CREATE TABLE table_69200 ("Venue" CLOB, "City" CLOB, "Tickets Sold / Available" CLOB, "Gross Revenue ( 1982 ) " CLOB, "Gross Revenue ( 2011 ) " CLOB)
| What is the venue in the city of Brussels, Belgium? | SELECT "Venue" FROM table_69200 WHERE "City" = 'brussels, belgium' | SELECT "Venue" FROM "table_69200" WHERE "City" = 'brussels, belgium' | 0.066406 |
CREATE TABLE buildings (Stories VARCHAR2, Height VARCHAR2)
| Find the stories of the building with the largest height. | SELECT Stories FROM buildings ORDER BY Height DESC LIMIT 1 | SELECT "Stories" FROM "buildings" ORDER BY "Height" DESC FETCH FIRST 1 ROWS ONLY | 0.078125 |
CREATE TABLE race (race_id NUMBER, name CLOB, class CLOB, date CLOB, track_id CLOB)
CREATE TABLE track (track_id NUMBER, name CLOB, location CLOB, seating NUMBER, year_opened NUMBER)
| What is the minimum, maximum, and average seating for all tracks. | SELECT MIN(seating), MAX(seating), AVG(seating) FROM track | SELECT MIN("seating"), MAX("seating"), AVG("seating") FROM "track" | 0.064453 |
CREATE TABLE Performers_in_Bookings (Order_ID NUMBER, Performer_ID NUMBER)
CREATE TABLE Stores (Store_ID VARCHAR2, Address_ID NUMBER, Marketing_Region_Code CHAR, Store_Name VARCHAR2, Store_Phone VARCHAR2, Store_Email_Address VARCHAR2, Other_Details VARCHAR2)
CREATE TABLE Performers (Performer_ID NUMBER, Address_ID NUMBER, Customer_Name VARCHAR2, Customer_Phone VARCHAR2, Customer_Email_Address VARCHAR2, Other_Details VARCHAR2)
CREATE TABLE Bookings (Booking_ID NUMBER, Customer_ID NUMBER, Workshop_Group_ID VARCHAR2, Status_Code CHAR, Store_ID NUMBER, Order_Date DATETIME, Planned_Delivery_Date DATETIME, Actual_Delivery_Date DATETIME, Other_Order_Details VARCHAR2)
CREATE TABLE Bookings_Services (Order_ID NUMBER, Product_ID NUMBER)
CREATE TABLE Marketing_Regions (Marketing_Region_Code CHAR, Marketing_Region_Name VARCHAR2, Marketing_Region_Descriptrion VARCHAR2, Other_Details VARCHAR2)
CREATE TABLE Ref_Service_Types (Service_Type_Code CHAR, Parent_Service_Type_Code CHAR, Service_Type_Description VARCHAR2)
CREATE TABLE Services (Service_ID NUMBER, Service_Type_Code CHAR, Workshop_Group_ID NUMBER, Product_Description VARCHAR2, Product_Name VARCHAR2, Product_Price NUMBER, Other_Product_Service_Details VARCHAR2)
CREATE TABLE Ref_Payment_Methods (payment_method_code CHAR, payment_method_description VARCHAR2)
CREATE TABLE Invoices (Invoice_ID NUMBER, Order_ID NUMBER, payment_method_code CHAR, Product_ID NUMBER, Order_Quantity VARCHAR2, Other_Item_Details VARCHAR2, Order_Item_ID NUMBER)
CREATE TABLE Customer_Orders (Order_ID NUMBER, Customer_ID NUMBER, Store_ID NUMBER, Order_Date DATETIME, Planned_Delivery_Date DATETIME, Actual_Delivery_Date DATETIME, Other_Order_Details VARCHAR2)
CREATE TABLE Clients (Client_ID NUMBER, Address_ID NUMBER, Customer_Email_Address VARCHAR2, Customer_Name VARCHAR2, Customer_Phone VARCHAR2, Other_Details VARCHAR2)
CREATE TABLE Products (Product_ID VARCHAR2, Product_Name VARCHAR2, Product_Price NUMBER, Product_Description VARCHAR2, Other_Product_Service_Details VARCHAR2)
CREATE TABLE Customers (Customer_ID VARCHAR2, Address_ID NUMBER, Customer_Name VARCHAR2, Customer_Phone VARCHAR2, Customer_Email_Address VARCHAR2, Other_Details VARCHAR2)
CREATE TABLE Addresses (Address_ID VARCHAR2, Line_1 VARCHAR2, Line_2 VARCHAR2, City_Town VARCHAR2, State_County VARCHAR2, Other_Details VARCHAR2)
CREATE TABLE Order_Items (Order_Item_ID NUMBER, Order_ID NUMBER, Product_ID NUMBER, Order_Quantity VARCHAR2, Other_Item_Details VARCHAR2)
CREATE TABLE Drama_Workshop_Groups (Workshop_Group_ID NUMBER, Address_ID NUMBER, Currency_Code CHAR, Marketing_Region_Code CHAR, Store_Name VARCHAR2, Store_Phone VARCHAR2, Store_Email_Address VARCHAR2, Other_Details VARCHAR2)
CREATE TABLE Invoice_Items (Invoice_Item_ID NUMBER, Invoice_ID NUMBER, Order_ID NUMBER, Order_Item_ID NUMBER, Product_ID NUMBER, Order_Quantity NUMBER, Other_Item_Details VARCHAR2)
| How many drama workshop groups are there in each city? Return both the city and the count with a bar chart, and order in ascending by the x-axis. | SELECT City_Town, COUNT(*) FROM Addresses AS T1 JOIN Drama_Workshop_Groups AS T2 ON T1.Address_ID = T2.Address_ID GROUP BY T1.City_Town ORDER BY City_Town | SELECT "City_Town", COUNT(*) FROM "Addresses" "T1" JOIN "Drama_Workshop_Groups" "T2" ON "T1"."Address_ID" = "T2"."Address_ID" GROUP BY "T1"."City_Town" ORDER BY "City_Town" | 0.167969 |
CREATE TABLE table_name_18 (natural_wood_keyboard VARCHAR2, model VARCHAR2)
| Which is Natural Wood Keyboard with a Model of clps306? | SELECT natural_wood_keyboard FROM table_name_18 WHERE model = "clps306" | SELECT "natural_wood_keyboard" FROM "table_name_18" WHERE "clps306" = "model" | 0.075195 |
CREATE TABLE table_18052353_4 (treasurer VARCHAR2, year VARCHAR2)
| Who was treasurer in 2008? | SELECT treasurer FROM table_18052353_4 WHERE year = "2008" | SELECT "treasurer" FROM "table_18052353_4" WHERE "2008" = "year" | 0.0625 |
CREATE TABLE table_11734041_11 (position VARCHAR2, years_for_rockets VARCHAR2)
| What is the position for the player that played in 2006? | SELECT position FROM table_11734041_11 WHERE years_for_rockets = "2006" | SELECT "position" FROM "table_11734041_11" WHERE "2006" = "years_for_rockets" | 0.075195 |
CREATE TABLE table_61876 ("Colliery" CLOB, "Location" CLOB, "Date" CLOB, "Year" FLOAT, "Death toll" FLOAT, "cause" CLOB)
| Which Year has a Location of dinas on 13 january? | SELECT "Year" FROM table_61876 WHERE "Location" = 'dinas' AND "Date" = '13 january' | SELECT "Year" FROM "table_61876" WHERE "Date" = '13 january' AND "Location" = 'dinas' | 0.083008 |
CREATE TABLE table_41879 ("Aces" FLOAT, "Player" CLOB, "Opponent" CLOB, "Event" CLOB, "Sets" FLOAT)
| How many Sets did Gary Muller have? | SELECT COUNT("Sets") FROM table_41879 WHERE "Player" = 'gary muller' | SELECT COUNT("Sets") FROM "table_41879" WHERE "Player" = 'gary muller' | 0.068359 |
CREATE TABLE table_33276 ("Club" CLOB, "Played" FLOAT, "Lost" FLOAT, "Drawn" FLOAT, "Against" FLOAT, "Diff." FLOAT, "Points" FLOAT)
| What is the total difference for teams that played less than 6 games? | SELECT SUM("Diff.") FROM table_33276 WHERE "Played" < '6' | SELECT SUM("Diff.") FROM "table_33276" WHERE "Played" < '6' | 0.057617 |
CREATE TABLE table_23123 ("Pick #" FLOAT, "Player" CLOB, "Position" CLOB, "Nationality" CLOB, "NHL team" CLOB, "College/junior/club team" CLOB)
| Name the nhl times for jeff jacques | SELECT "NHL team" FROM table_23123 WHERE "Player" = 'Jeff Jacques' | SELECT "NHL team" FROM "table_23123" WHERE "Player" = 'Jeff Jacques' | 0.066406 |
CREATE TABLE table_name_24 (make VARCHAR2, drivers VARCHAR2)
| What is the make of the vehicle for driver Hisashi Wada? | SELECT make FROM table_name_24 WHERE drivers = "hisashi wada" | SELECT "make" FROM "table_name_24" WHERE "drivers" = "hisashi wada" | 0.06543 |
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 gsi (course_offering_id NUMBER, student_id NUMBER)
CREATE TABLE course_offering (offering_id NUMBER, course_id NUMBER, semester NUMBER, section_number NUMBER, start_time TIME, end_time TIME, monday VARCHAR2, tuesday VARCHAR2, wednesday VARCHAR2, thursday VARCHAR2, friday VARCHAR2, saturday VARCHAR2, sunday VARCHAR2, has_final_project VARCHAR2, has_final_exam VARCHAR2, textbook VARCHAR2, class_address VARCHAR2, allow_audit VARCHAR2)
CREATE TABLE offering_instructor (offering_instructor_id NUMBER, offering_id NUMBER, instructor_id NUMBER)
CREATE TABLE area (course_id NUMBER, area VARCHAR2)
CREATE TABLE program_course (program_id NUMBER, course_id NUMBER, workload NUMBER, category VARCHAR2)
CREATE TABLE instructor (instructor_id NUMBER, name VARCHAR2, uniqname VARCHAR2)
CREATE TABLE program (program_id NUMBER, name VARCHAR2, college VARCHAR2, introduction VARCHAR2)
CREATE TABLE requirement (requirement_id NUMBER, requirement VARCHAR2, college VARCHAR2)
CREATE TABLE student (student_id NUMBER, lastname VARCHAR2, firstname VARCHAR2, program_id NUMBER, declare_major VARCHAR2, total_credit NUMBER, total_gpa FLOAT, entered_as VARCHAR2, admit_term NUMBER, predicted_graduation_semester NUMBER, degree VARCHAR2, minor VARCHAR2, internship VARCHAR2)
CREATE TABLE program_requirement (program_id NUMBER, category VARCHAR2, min_credit NUMBER, additional_req VARCHAR2)
CREATE TABLE course_prerequisite (pre_course_id NUMBER, course_id NUMBER)
CREATE TABLE student_record (student_id NUMBER, course_id NUMBER, semester NUMBER, grade VARCHAR2, how VARCHAR2, transfer_source VARCHAR2, earn_credit VARCHAR2, repeat_term VARCHAR2, test_id VARCHAR2)
CREATE TABLE jobs (job_id NUMBER, job_title VARCHAR2, description VARCHAR2, requirement VARCHAR2, city VARCHAR2, state VARCHAR2, country VARCHAR2, zip NUMBER)
CREATE TABLE course_tags_count (course_id NUMBER, clear_grading NUMBER, pop_quiz NUMBER, group_projects NUMBER, inspirational NUMBER, long_lectures NUMBER, extra_credit NUMBER, few_tests NUMBER, good_feedback NUMBER, tough_tests NUMBER, heavy_papers NUMBER, cares_for_students NUMBER, heavy_assignments NUMBER, respected NUMBER, participation NUMBER, heavy_reading NUMBER, tough_grader NUMBER, hilarious NUMBER, would_take_again NUMBER, good_lecture NUMBER, no_skip NUMBER)
CREATE TABLE ta (campus_job_id NUMBER, student_id NUMBER, location VARCHAR2)
CREATE TABLE comment_instructor (instructor_id NUMBER, student_id NUMBER, score NUMBER, comment_text VARCHAR2)
CREATE TABLE semester (semester_id NUMBER, semester VARCHAR2, year NUMBER)
| Is Prof. Petra Kuppers going to be teaching 281 next semester ? | SELECT COUNT(*) > 0 FROM course, course_offering, instructor, offering_instructor, semester WHERE course.course_id = course_offering.course_id AND course.department = 'EECS' AND course.number = 281 AND instructor.name LIKE '%Petra Kuppers%' AND offering_instructor.instructor_id = instructor.instructor_id AND offering_instructor.offering_id = course_offering.offering_id AND semester.semester = 'FA' AND semester.semester_id = course_offering.semester AND semester.year = 2016 | SELECT COUNT(*) > 0 FROM "course" JOIN "course_offering" ON "course"."course_id" = "course_offering"."course_id" JOIN "offering_instructor" ON "course_offering"."offering_id" = "offering_instructor"."offering_id" JOIN "semester" ON "course_offering"."semester" = "semester"."semester_id" AND "semester"."semester" = 'FA' AND "semester"."year" = 2016 JOIN "instructor" ON "instructor"."instructor_id" = "offering_instructor"."instructor_id" AND "instructor"."name" LIKE '%Petra Kuppers%' WHERE "course"."department" = 'EECS' AND "course"."number" = 281 | 0.538086 |
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 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 code_description (code VARCHAR2, description CLOB)
CREATE TABLE flight_fare (flight_id NUMBER, fare_id NUMBER)
CREATE TABLE class_of_service (booking_class VARCHAR2, rank NUMBER, class_description CLOB)
CREATE TABLE airport_service (city_code VARCHAR2, airport_code VARCHAR2, miles_distant NUMBER, direction VARCHAR2, minutes_distant NUMBER)
CREATE TABLE days (days_code VARCHAR2, day_name 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_interval (period CLOB, begin_time NUMBER, end_time NUMBER)
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 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 month (month_number NUMBER, month_name CLOB)
CREATE TABLE dual_carrier (main_airline VARCHAR2, low_flight_number NUMBER, high_flight_number NUMBER, dual_airline VARCHAR2, service_name CLOB)
CREATE TABLE time_zone (time_zone_code CLOB, time_zone_name CLOB, hours_from_gmt NUMBER)
CREATE TABLE city (city_code VARCHAR2, city_name VARCHAR2, state_code VARCHAR2, country_name VARCHAR2, time_zone_code VARCHAR2)
CREATE TABLE state (state_code CLOB, state_name CLOB, country_name 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 equipment_sequence (aircraft_code_sequence VARCHAR2, aircraft_code VARCHAR2)
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 airline (airline_code VARCHAR2, airline_name CLOB, note 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 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 date_day (month_number NUMBER, day_number NUMBER, year NUMBER, day_name VARCHAR2)
| now i need flights leaving DENVER in the afternoon on wednesday and arriving in SAN FRANCISCO | 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, date_day, days, flight WHERE ((CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'SAN FRANCISCO' AND date_day.day_number = 23 AND date_day.month_number = 4 AND date_day.year = 1991 AND days.day_name = date_day.day_name AND flight.flight_days = days.days_code AND flight.to_airport = AIRPORT_SERVICE_1.airport_code) AND CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'DENVER' AND flight.from_airport = AIRPORT_SERVICE_0.airport_code) AND flight.departure_time BETWEEN 1200 AND 1800 | SELECT DISTINCT "flight"."flight_id" FROM "airport_service" "AIRPORT_SERVICE_0" JOIN "date_day" ON "date_day"."day_number" = 23 AND "date_day"."month_number" = 4 AND "date_day"."year" = 1991 JOIN "city" "CITY_0" ON "AIRPORT_SERVICE_0"."city_code" = "CITY_0"."city_code" AND "CITY_0"."city_name" = 'DENVER' JOIN "days" ON "date_day"."day_name" = "days"."day_name" JOIN "flight" ON "AIRPORT_SERVICE_0"."airport_code" = "flight"."from_airport" AND "days"."days_code" = "flight"."flight_days" AND "flight"."departure_time" <= 1800 AND "flight"."departure_time" >= 1200 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 FRANCISCO' | 0.772461 |
CREATE TABLE table_1454 ("Official #" FLOAT, "TF1 #" FLOAT, "French title" CLOB, "English title" CLOB, "Air date ( France ) " CLOB, "Original Beechwood Bunny Tale / Source material" CLOB)
| Name the air date france for 'la p che au tr sor | SELECT "Air date (France)" FROM table_1454 WHERE "French title" = 'La pêche au trésor' | SELECT "Air date (France)" FROM "table_1454" WHERE "French title" = 'La pêche au trésor' | 0.085938 |
CREATE TABLE table_12098 ("Place" CLOB, "Player" CLOB, "Country" CLOB, "Score" CLOB, "To par" CLOB)
| What is the country of the player with a 70-71-68=209 score? | SELECT "Country" FROM table_12098 WHERE "Score" = '70-71-68=209' | SELECT "Country" FROM "table_12098" WHERE "Score" = '70-71-68=209' | 0.064453 |
CREATE TABLE table_name_22 (defending_forces VARCHAR2, population VARCHAR2)
| What defending forces have a population of 650? | SELECT defending_forces FROM table_name_22 WHERE population = "650" | SELECT "defending_forces" FROM "table_name_22" WHERE "650" = "population" | 0.071289 |
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label 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 patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod 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 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 microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
CREATE TABLE d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
CREATE TABLE d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto 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 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 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 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)
| how many patients received the packed cell transfusion since 2104 after the percu nephrostm w/o frag within the same month? | SELECT COUNT(DISTINCT t1.subject_id) FROM (SELECT admissions.subject_id, procedures_icd.charttime FROM procedures_icd JOIN admissions ON procedures_icd.hadm_id = admissions.hadm_id WHERE procedures_icd.icd9_code = (SELECT d_icd_procedures.icd9_code FROM d_icd_procedures WHERE d_icd_procedures.short_title = 'percu nephrostm w/o frag') AND STRFTIME('%y', procedures_icd.charttime) >= '2104') AS t1 JOIN (SELECT admissions.subject_id, procedures_icd.charttime FROM procedures_icd JOIN admissions ON procedures_icd.hadm_id = admissions.hadm_id WHERE procedures_icd.icd9_code = (SELECT d_icd_procedures.icd9_code FROM d_icd_procedures WHERE d_icd_procedures.short_title = 'packed cell transfusion') AND STRFTIME('%y', procedures_icd.charttime) >= '2104') AS t2 ON t1.subject_id = t2.subject_id WHERE t1.charttime < t2.charttime AND DATETIME(t1.charttime, 'start of month') = DATETIME(t2.charttime, 'start of month') | WITH "t2" AS (SELECT "admissions"."subject_id", "procedures_icd"."charttime" FROM "procedures_icd" JOIN "d_icd_procedures" ON "d_icd_procedures"."icd9_code" = "procedures_icd"."icd9_code" AND "d_icd_procedures"."short_title" = 'packed cell transfusion' JOIN "admissions" ON "admissions"."hadm_id" = "procedures_icd"."hadm_id" WHERE STRFTIME('%y', "procedures_icd"."charttime") >= '2104') SELECT COUNT(DISTINCT "admissions"."subject_id") FROM "procedures_icd" JOIN "d_icd_procedures" ON "d_icd_procedures"."icd9_code" = "procedures_icd"."icd9_code" AND "d_icd_procedures"."short_title" = 'percu nephrostm w/o frag' JOIN "admissions" ON "admissions"."hadm_id" = "procedures_icd"."hadm_id" JOIN "t2" "t2" ON "admissions"."subject_id" = "t2"."subject_id" AND "procedures_icd"."charttime" < "t2"."charttime" AND DATETIME("procedures_icd"."charttime", 'start of month') = DATETIME("t2"."charttime", 'start of month') WHERE STRFTIME('%y', "procedures_icd"."charttime") >= '2104' | 0.948242 |
CREATE TABLE table_10026563_1 (ended_time_as_senior_g8_leader VARCHAR2, person VARCHAR2)
| When did Jacques Chirac stop being a G8 leader? | SELECT ended_time_as_senior_g8_leader FROM table_10026563_1 WHERE person = "Jacques Chirac" | SELECT "ended_time_as_senior_g8_leader" FROM "table_10026563_1" WHERE "Jacques Chirac" = "person" | 0.094727 |
CREATE TABLE table_64519 ("Country" CLOB, "Athlete" CLOB, "Technical" FLOAT, "Free" FLOAT, "Total" FLOAT)
| What is the technical number for Jiang Tingting & Jiang Wenwen, and the total was more than 96.334? | SELECT MAX("Technical") FROM table_64519 WHERE "Athlete" = 'jiang tingting & jiang wenwen' AND "Total" > '96.334' | SELECT MAX("Technical") FROM "table_64519" WHERE "Athlete" = 'jiang tingting & jiang wenwen' AND "Total" > '96.334' | 0.112305 |
CREATE TABLE table_name_75 (date VARCHAR2, home_team VARCHAR2)
| What date did Collingwood play as the home team? | SELECT date FROM table_name_75 WHERE home_team = "collingwood" | SELECT "date" FROM "table_name_75" WHERE "collingwood" = "home_team" | 0.066406 |
CREATE TABLE table_63612 ("Place" CLOB, "Player" CLOB, "Country" CLOB, "Score" CLOB, "To par" CLOB, "Money ( \\u00a3 ) " CLOB)
| Which Score has a To par of +1 in sweden? | SELECT "Score" FROM table_63612 WHERE "To par" = '+1' AND "Country" = 'sweden' | SELECT "Score" FROM "table_63612" WHERE "Country" = 'sweden' AND "To par" = '+1' | 0.078125 |
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)
CREATE TABLE Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
CREATE TABLE PostHistoryTypes (Id NUMBER, Name CLOB)
CREATE TABLE VoteTypes (Id NUMBER, Name CLOB)
CREATE TABLE ReviewTaskStates (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 PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
CREATE TABLE ReviewTaskResultTypes (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 ReviewTaskTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId NUMBER)
CREATE TABLE CloseReasonTypes (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 Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount NUMBER)
CREATE TABLE PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
CREATE TABLE 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 PostTypes (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 Comments (Id NUMBER, PostId NUMBER, Score NUMBER, Text CLOB, CreationDate TIME, UserDisplayName CLOB, UserId NUMBER, ContentLicense CLOB)
CREATE TABLE ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
CREATE TABLE PostHistory (Id NUMBER, PostHistoryTypeId NUMBER, PostId NUMBER, RevisionGUID other, CreationDate TIME, UserId NUMBER, UserDisplayName CLOB, Comment CLOB, Text CLOB, ContentLicense CLOB)
CREATE TABLE 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 TagSynonyms (Id NUMBER, SourceTagName CLOB, TargetTagName CLOB, CreationDate TIME, OwnerUserId NUMBER, AutoRenameCount NUMBER, LastAutoRename TIME, Score NUMBER, ApprovedByUserId NUMBER, ApprovalDate TIME)
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 ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment CLOB)
CREATE TABLE PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId NUMBER)
| All Users Ranked by Total Votes and Percent DVs. | SELECT u.Id AS "user_link", (u.UpVotes + u.DownVotes) AS "Total Votes", CASE WHEN ((u.UpVotes + u.DownVotes) > 0) THEN ROUND(CAST(u.DownVotes AS FLOAT) / (u.UpVotes + u.DownVotes) * 100, 4) ELSE 0 END AS "% DV" FROM Users AS u WHERE (u.Reputation >= 125 OR u.DownVotes > 0) AND u.Id != -1 ORDER BY 'Total Votes' DESC, '% DV' DESC | SELECT "u"."Id" AS "user_link", "u"."UpVotes" + "u"."DownVotes" AS "Total Votes", CASE WHEN ("u"."UpVotes" + "u"."DownVotes") > 0 THEN ROUND(CAST("u"."DownVotes" AS FLOAT) / NULLIF(("u"."UpVotes" + "u"."DownVotes"), 0) * 100, 4) ELSE 0 END AS "% DV" FROM "Users" "u" WHERE ("u"."DownVotes" > 0 OR "u"."Reputation" >= 125) AND "u"."Id" <> -1 ORDER BY 'Total Votes' DESC, '% DV' DESC | 0.37207 |
CREATE TABLE inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount 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 procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
CREATE TABLE 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 d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
CREATE TABLE labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
CREATE TABLE 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 diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
CREATE TABLE d_icd_procedures (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 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 transfers (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, eventtype CLOB, careunit CLOB, wardid NUMBER, intime TIME, outtime TIME)
| when was the last time that patient 19981 was given a hemoglobin lab test in 02/last year? | SELECT labevents.charttime FROM labevents WHERE labevents.itemid IN (SELECT d_labitems.itemid FROM d_labitems WHERE d_labitems.label = 'hemoglobin') AND labevents.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 19981) AND DATETIME(labevents.charttime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year') AND STRFTIME('%m', labevents.charttime) = '02' ORDER BY labevents.charttime DESC LIMIT 1 | WITH "_u_0" AS (SELECT "d_labitems"."itemid" FROM "d_labitems" WHERE "d_labitems"."label" = 'hemoglobin' GROUP BY "itemid"), "_u_1" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 19981 GROUP BY "hadm_id") SELECT "labevents"."charttime" FROM "labevents" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "labevents"."itemid" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "labevents"."hadm_id" WHERE DATETIME("labevents"."charttime", 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year') AND NOT "_u_0"."" IS NULL AND NOT "_u_1"."" IS NULL AND STRFTIME('%m', "labevents"."charttime") = '02' ORDER BY "labevents"."charttime" DESC FETCH FIRST 1 ROWS ONLY | 0.672852 |
CREATE TABLE table_name_45 (event VARCHAR2, prize VARCHAR2)
| What was the Event for the prize of 850,000? | SELECT event FROM table_name_45 WHERE prize = "€850,000" | SELECT "event" FROM "table_name_45" WHERE "prize" = "€850,000" | 0.060547 |
CREATE TABLE table_48451 ("Game" FLOAT, "February" FLOAT, "Opponent" CLOB, "Score" CLOB, "Record" CLOB)
| What is the earliest February date with a record of 37-13-4 in a game earlier than 54? | SELECT MIN("February") FROM table_48451 WHERE "Record" = '37-13-4' AND "Game" < '54' | SELECT MIN("February") FROM "table_48451" WHERE "Game" < '54' AND "Record" = '37-13-4' | 0.083984 |
CREATE TABLE table_34339 ("Pick #" FLOAT, "Round" CLOB, "Player" CLOB, "Position" CLOB, "College" CLOB)
| For Pick #323, which round is it? | SELECT "Round" FROM table_34339 WHERE "Pick #" = '323' | SELECT "Round" FROM "table_34339" WHERE "Pick #" = '323' | 0.054688 |
CREATE TABLE table_23664 ("Player" CLOB, "Played" FLOAT, "Sets Won" FLOAT, "Sets Lost" FLOAT, "Legs Won" FLOAT, "Legs Lost" FLOAT, "100+" FLOAT, "140+" FLOAT, "180s" FLOAT, "High Checkout" FLOAT, "3-dart Average" CLOB)
| How many games did the player with 3-dart average of 66.86 play? | SELECT "Played" FROM table_23664 WHERE "3-dart Average" = '66.86' | SELECT "Played" FROM "table_23664" WHERE "3-dart Average" = '66.86' | 0.06543 |
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 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 comment_instructor (instructor_id NUMBER, student_id NUMBER, score NUMBER, comment_text 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 requirement (requirement_id NUMBER, requirement VARCHAR2, college VARCHAR2)
CREATE TABLE gsi (course_offering_id NUMBER, student_id NUMBER)
CREATE TABLE program_requirement (program_id NUMBER, category VARCHAR2, min_credit NUMBER, additional_req 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 ta (campus_job_id NUMBER, student_id NUMBER, location VARCHAR2)
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)
CREATE TABLE semester (semester_id NUMBER, semester VARCHAR2, year NUMBER)
CREATE TABLE area (course_id NUMBER, area VARCHAR2)
CREATE TABLE instructor (instructor_id NUMBER, name VARCHAR2, uniqname VARCHAR2)
| Which courses in Intro Engineering will allow me to satisfy the Core requirement ? | SELECT DISTINCT course.department, course.name, course.number FROM course INNER JOIN area ON course.course_id = area.course_id INNER JOIN program_course ON program_course.course_id = course.course_id WHERE (area.area LIKE '%Intro Engineering%' OR course.description LIKE '%Intro Engineering%' OR course.name LIKE '%Intro Engineering%') AND program_course.category LIKE '%Core%' | SELECT DISTINCT "course"."department", "course"."name", "course"."number" FROM "course" JOIN "area" ON ("area"."area" LIKE '%Intro Engineering%' OR "course"."description" LIKE '%Intro Engineering%' OR "course"."name" LIKE '%Intro Engineering%') AND "area"."course_id" = "course"."course_id" JOIN "program_course" ON "course"."course_id" = "program_course"."course_id" AND "program_course"."category" LIKE '%Core%' | 0.40332 |
CREATE TABLE table_68995 ("Pos." CLOB, "Player" CLOB, "Team" CLOB, "Height" CLOB, "Weight" FLOAT)
| How much does Jonathan Bender weigh? | SELECT "Weight" FROM table_68995 WHERE "Player" = 'jonathan bender' | SELECT "Weight" FROM "table_68995" WHERE "Player" = 'jonathan bender' | 0.067383 |
CREATE TABLE job_history (EMPLOYEE_ID NUMBER, START_DATE DATE, END_DATE DATE, JOB_ID VARCHAR2, DEPARTMENT_ID NUMBER)
CREATE TABLE countries (COUNTRY_ID VARCHAR2, COUNTRY_NAME VARCHAR2, REGION_ID NUMBER)
CREATE TABLE locations (LOCATION_ID NUMBER, STREET_ADDRESS VARCHAR2, POSTAL_CODE VARCHAR2, CITY VARCHAR2, STATE_PROVINCE VARCHAR2, COUNTRY_ID VARCHAR2)
CREATE TABLE regions (REGION_ID NUMBER, REGION_NAME VARCHAR2)
CREATE TABLE employees (EMPLOYEE_ID NUMBER, FIRST_NAME VARCHAR2, LAST_NAME VARCHAR2, EMAIL VARCHAR2, PHONE_NUMBER VARCHAR2, HIRE_DATE DATE, JOB_ID VARCHAR2, SALARY NUMBER, COMMISSION_PCT NUMBER, MANAGER_ID NUMBER, DEPARTMENT_ID NUMBER)
CREATE TABLE departments (DEPARTMENT_ID NUMBER, DEPARTMENT_NAME VARCHAR2, MANAGER_ID NUMBER, LOCATION_ID NUMBER)
CREATE TABLE jobs (JOB_ID VARCHAR2, JOB_TITLE VARCHAR2, MIN_SALARY NUMBER, MAX_SALARY NUMBER)
| For those employees who did not have any job in the past, find hire_date and the average of department_id bin hire_date by weekday, and visualize them by a bar chart, and could you display by the Y-axis in ascending? | SELECT HIRE_DATE, AVG(DEPARTMENT_ID) FROM employees WHERE NOT EMPLOYEE_ID IN (SELECT EMPLOYEE_ID FROM job_history) ORDER BY AVG(DEPARTMENT_ID) | SELECT "HIRE_DATE", AVG("DEPARTMENT_ID") FROM "employees" WHERE NOT "EMPLOYEE_ID" IN (SELECT "EMPLOYEE_ID" FROM "job_history") ORDER BY AVG("DEPARTMENT_ID") | 0.152344 |
CREATE TABLE loan (loan_id CLOB, loan_type CLOB, cust_id CLOB, branch_id CLOB, amount NUMBER)
CREATE TABLE bank (branch_id NUMBER, bname CLOB, no_of_customers NUMBER, city CLOB, state CLOB)
CREATE TABLE customer (cust_id CLOB, cust_name CLOB, acc_type CLOB, acc_bal NUMBER, no_of_loans NUMBER, credit_score NUMBER, branch_id NUMBER, state CLOB)
| What are the states, account types, and credit scores for customers who have 0 loans? | SELECT state, acc_type, credit_score FROM customer WHERE no_of_loans = 0 | SELECT "state", "acc_type", "credit_score" FROM "customer" WHERE "no_of_loans" = 0 | 0.080078 |
CREATE TABLE table_36424 ("Date" CLOB, "Opponent" CLOB, "Score" CLOB, "Loss" CLOB, "Save" CLOB, "Record" CLOB)
| Who had a save on September 2? | SELECT "Save" FROM table_36424 WHERE "Date" = 'september 2' | SELECT "Save" FROM "table_36424" WHERE "Date" = 'september 2' | 0.05957 |
CREATE TABLE table_44820 ("Player" CLOB, "Nationality" CLOB, "Position" CLOB, "Years for Grizzlies" CLOB, "School/Club Team" CLOB)
| What is the Nationality of the 1998-2000 Years for Grizzlies? | SELECT "Nationality" FROM table_44820 WHERE "Years for Grizzlies" = '1998-2000' | SELECT "Nationality" FROM "table_44820" WHERE "Years for Grizzlies" = '1998-2000' | 0.079102 |
CREATE TABLE table_name_76 (fastest_lap VARCHAR2, winning_driver VARCHAR2)
| What is the fastest lap of the race where Giuseppe Farina was the winning driver? | SELECT fastest_lap FROM table_name_76 WHERE winning_driver = "giuseppe farina" | SELECT "fastest_lap" FROM "table_name_76" WHERE "giuseppe farina" = "winning_driver" | 0.082031 |
CREATE TABLE table_44011 ("Date" CLOB, "Series" CLOB, "Circuit" CLOB, "City / State" CLOB, "Winner" CLOB, "Team" CLOB)
| What city had a series of atcc round 1? | SELECT "City / State" FROM table_44011 WHERE "Series" = 'atcc round 1' | SELECT "City / State" FROM "table_44011" WHERE "Series" = 'atcc round 1' | 0.070313 |
CREATE TABLE table_27713030_8 (score VARCHAR2, team VARCHAR2)
| What was the team's score against detroit? | SELECT score FROM table_27713030_8 WHERE team = "Detroit" | SELECT "score" FROM "table_27713030_8" WHERE "Detroit" = "team" | 0.061523 |
CREATE TABLE table_name_29 (jianshu NUMBER, athlete VARCHAR2)
| What is the lowest Jianshu number for Liu Yang ( hkg )? | SELECT MIN(jianshu) FROM table_name_29 WHERE athlete = "liu yang ( hkg )" | SELECT MIN("jianshu") FROM "table_name_29" WHERE "athlete" = "liu yang ( hkg )" | 0.077148 |
CREATE TABLE table_203_798 (id NUMBER, "party" CLOB, "votes" CLOB, "%" NUMBER, "swing" NUMBER, "seats" NUMBER, "change" NUMBER)
| what party had the least number of seats ? | SELECT "party" FROM table_203_798 ORDER BY "seats" LIMIT 1 | SELECT "party" FROM "table_203_798" ORDER BY "seats" FETCH FIRST 1 ROWS ONLY | 0.074219 |
CREATE TABLE table_203_376 (id NUMBER, "no." NUMBER, "name" CLOB, "term of office" CLOB, "president ( s ) served under" CLOB)
| how many directors served more than 3 years ? | SELECT COUNT("name") FROM table_203_376 WHERE "term of office" - "term of office" > 3 | SELECT COUNT("name") FROM "table_203_376" WHERE "term of office" - "term of office" > 3 | 0.084961 |
CREATE TABLE table_10812938_3 (player VARCHAR2, college VARCHAR2)
| Which player went to college at Laval? | SELECT player FROM table_10812938_3 WHERE college = "Laval" | SELECT "player" FROM "table_10812938_3" WHERE "Laval" = "college" | 0.063477 |
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE 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)
| what is admission type and discharge location of subject id 17570? | SELECT demographic.admission_type, demographic.discharge_location FROM demographic WHERE demographic.subject_id = "17570" | SELECT "demographic"."admission_type", "demographic"."discharge_location" FROM "demographic" WHERE "17570" = "demographic"."subject_id" | 0.131836 |
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