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CREATE TABLE table_21160 ("Municipality" CLOB, "Income Class" CLOB, "District" CLOB, "Population ( 2010 ) " FLOAT, "Area ( km\\u00b2 ) " FLOAT)
| what is the income class for area 75? | SELECT "Income Class" FROM table_21160 WHERE "Area (km\u00b2)" = '75' | SELECT "Income Class" FROM "table_21160" WHERE "Area (km\u00b2)" = '75' | 0.069336 |
CREATE TABLE table_8735 ("Game" FLOAT, "Date" CLOB, "Opponent" CLOB, "Score" CLOB, "Location" CLOB, "Attendance" FLOAT, "Record" CLOB, "Points" FLOAT)
| What is Date, when Points is 13, and when Location is RBC Center? | SELECT "Date" FROM table_8735 WHERE "Points" = '13' AND "Location" = 'rbc center' | SELECT "Date" FROM "table_8735" WHERE "Location" = 'rbc center' AND "Points" = '13' | 0.081055 |
CREATE TABLE farm_competition (Competition_ID NUMBER, Year NUMBER, Theme CLOB, Host_city_ID NUMBER, Hosts CLOB)
CREATE TABLE city (City_ID NUMBER, Official_Name CLOB, Status CLOB, Area_km_2 FLOAT, Population FLOAT, Census_Ranking CLOB)
CREATE TABLE farm (Farm_ID NUMBER, Year NUMBER, Total_Horses FLOAT, Working_Horses FLOAT, Total_Cattle FLOAT, Oxen FLOAT, Bulls FLOAT, Cows FLOAT, Pigs FLOAT, Sheep_and_Goats FLOAT)
CREATE TABLE competition_record (Competition_ID NUMBER, Farm_ID NUMBER, Rank NUMBER)
| Show how many competitions are held in each year with a line chart, and could you order by the x-axis in asc? | SELECT Year, COUNT(Year) FROM city AS T1 JOIN farm_competition AS T2 ON T1.City_ID = T2.Host_city_ID ORDER BY Year | SELECT "Year", COUNT("Year") FROM "city" "T1" JOIN "farm_competition" "T2" ON "T1"."City_ID" = "T2"."Host_city_ID" ORDER BY "Year" | 0.126953 |
CREATE TABLE PendingFlags (Id NUMBER, FlagTypeId NUMBER, PostId NUMBER, CreationDate TIME, CloseReasonTypeId NUMBER, CloseAsOffTopicReasonTypeId NUMBER, DuplicateOfQuestionId NUMBER, BelongsOnBaseHostAddress CLOB)
CREATE TABLE PostsWithDeleted (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE VoteTypes (Id NUMBER, Name CLOB)
CREATE TABLE Posts (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId NUMBER)
CREATE TABLE PostHistoryTypes (Id NUMBER, Name CLOB)
CREATE TABLE SuggestedEditVotes (Id NUMBER, SuggestedEditId NUMBER, UserId NUMBER, VoteTypeId NUMBER, CreationDate TIME, TargetUserId NUMBER, TargetRepChange NUMBER)
CREATE TABLE Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
CREATE TABLE ReviewTaskResultTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId NUMBER)
CREATE TABLE TagSynonyms (Id NUMBER, SourceTagName CLOB, TargetTagName CLOB, CreationDate TIME, OwnerUserId NUMBER, AutoRenameCount NUMBER, LastAutoRename TIME, Score NUMBER, ApprovedByUserId NUMBER, ApprovalDate TIME)
CREATE TABLE Comments (Id NUMBER, PostId NUMBER, Score NUMBER, Text CLOB, CreationDate TIME, UserDisplayName CLOB, UserId NUMBER, ContentLicense CLOB)
CREATE TABLE Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
CREATE TABLE ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment CLOB)
CREATE TABLE Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount NUMBER)
CREATE TABLE FlagTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE SuggestedEdits (Id NUMBER, PostId NUMBER, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId NUMBER, Comment CLOB, Text CLOB, Title CLOB, Tags CLOB, RevisionGUID other)
CREATE TABLE PostHistory (Id NUMBER, PostHistoryTypeId NUMBER, PostId NUMBER, RevisionGUID other, CreationDate TIME, UserId NUMBER, UserDisplayName CLOB, Comment CLOB, Text CLOB, ContentLicense CLOB)
CREATE TABLE ReviewTaskTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
CREATE TABLE ReviewTaskStates (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
CREATE TABLE PostTypes (Id NUMBER, Name CLOB)
CREATE TABLE Users (Id NUMBER, Reputation NUMBER, CreationDate TIME, DisplayName CLOB, LastAccessDate TIME, WebsiteUrl CLOB, Location CLOB, AboutMe CLOB, Views NUMBER, UpVotes NUMBER, DownVotes NUMBER, ProfileImageUrl CLOB, EmailHash CLOB, AccountId NUMBER)
CREATE TABLE PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId NUMBER)
CREATE TABLE CloseAsOffTopicReasonTypes (Id NUMBER, IsUniversal BOOLEAN, InputTitle CLOB, MarkdownInputGuidance CLOB, MarkdownPostOwnerGuidance CLOB, MarkdownPrivilegedUserGuidance CLOB, MarkdownConcensusDescription CLOB, CreationDate TIME, CreationModeratorId NUMBER, ApprovalDate TIME, ApprovalModeratorId NUMBER, DeactivationDate TIME, DeactivationModeratorId NUMBER)
CREATE TABLE CloseReasonTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostTags (PostId NUMBER, TagId NUMBER)
CREATE TABLE PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
| Show all names of vote types. | SELECT Id, Name FROM VoteTypes | SELECT "Id", "Name" FROM "VoteTypes" | 0.035156 |
CREATE TABLE table_44623 ("Poll Source" CLOB, "Sample Size" FLOAT, "Margin of Error" FLOAT, "Date" CLOB, "Democrat" CLOB, "Republican" CLOB)
| What was the sample size for polling on May 2-7, 2007 for Hillary Clinton? | SELECT "Sample Size" FROM table_44623 WHERE "Date" = 'may 2-7, 2007' AND "Democrat" = 'hillary clinton' | SELECT "Sample Size" FROM "table_44623" WHERE "Date" = 'may 2-7, 2007' AND "Democrat" = 'hillary clinton' | 0.102539 |
CREATE TABLE table_867 ("Draft Year" FLOAT, "Player" CLOB, "Position" CLOB, "Round" FLOAT, "Overall" FLOAT, "NFL Team" CLOB)
| What numer pick in the draft for jerry hill? | SELECT COUNT("Overall") FROM table_867 WHERE "Player" = 'Jerry Hill' | SELECT COUNT("Overall") FROM "table_867" WHERE "Player" = 'Jerry Hill' | 0.068359 |
CREATE TABLE table_1744 ("Official Name" CLOB, "Status" CLOB, "Area km 2" CLOB, "Population" FLOAT, "Census Ranking" CLOB)
| What is the census ranking for the Perth parish? | SELECT "Census Ranking" FROM table_1744 WHERE "Official Name" = 'Perth' | SELECT "Census Ranking" FROM "table_1744" WHERE "Official Name" = 'Perth' | 0.071289 |
CREATE TABLE station_company (Station_ID NUMBER, Company_ID NUMBER, Rank_of_the_Year NUMBER)
CREATE TABLE company (Company_ID NUMBER, Rank NUMBER, Company CLOB, Headquarters CLOB, Main_Industry CLOB, Sales_billion FLOAT, Profits_billion FLOAT, Assets_billion FLOAT, Market_Value FLOAT)
CREATE TABLE gas_station (Station_ID NUMBER, Open_Year NUMBER, Location CLOB, Manager_Name CLOB, Vice_Manager_Name CLOB, Representative_Name CLOB)
| How many gas stations dors each manager have? Plot a bar chart, list bars in descending order. | SELECT Manager_Name, COUNT(Manager_Name) FROM gas_station GROUP BY Manager_Name ORDER BY Manager_Name DESC | SELECT "Manager_Name", COUNT("Manager_Name") FROM "gas_station" GROUP BY "Manager_Name" ORDER BY "Manager_Name" DESC | 0.113281 |
CREATE TABLE table_75166 ("Rank" FLOAT, "Rider" CLOB, "Team" CLOB, "Speed" CLOB, "Time" CLOB)
| What is the rank for the team with a Time of 1:12.40.28? | SELECT SUM("Rank") FROM table_75166 WHERE "Time" = '1:12.40.28' | SELECT SUM("Rank") FROM "table_75166" WHERE "Time" = '1:12.40.28' | 0.063477 |
CREATE TABLE table_name_79 (evening_gown VARCHAR2, preliminaries VARCHAR2, state VARCHAR2)
| What is the evening gown score of the contestant from the District of Columbia with preliminaries smaller than 8.647? | SELECT COUNT(evening_gown) FROM table_name_79 WHERE preliminaries < 8.647 AND state = "district of columbia" | SELECT COUNT("evening_gown") FROM "table_name_79" WHERE "district of columbia" = "state" AND "preliminaries" < 8.647 | 0.113281 |
CREATE TABLE table_3614 ("District" CLOB, "Incumbent" CLOB, "Party" CLOB, "First elected" CLOB, "Result" CLOB, "Candidates" CLOB)
| Name the district for hugh glasgow | SELECT "District" FROM table_3614 WHERE "Incumbent" = 'Hugh Glasgow' | SELECT "District" FROM "table_3614" WHERE "Incumbent" = 'Hugh Glasgow' | 0.068359 |
CREATE TABLE table_203_715 (id NUMBER, "year" NUMBER, "competition" CLOB, "venue" CLOB, "position" CLOB, "notes" CLOB)
| what was the first year where the position was higher than 3rd place ? | SELECT MIN("year") FROM table_203_715 WHERE "position" < 3 | SELECT MIN("year") FROM "table_203_715" WHERE "position" < 3 | 0.058594 |
CREATE TABLE PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
CREATE TABLE ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
CREATE TABLE PostHistoryTypes (Id NUMBER, Name CLOB)
CREATE TABLE FlagTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId 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 PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId 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 Comments (Id NUMBER, PostId NUMBER, Score NUMBER, Text CLOB, CreationDate TIME, UserDisplayName CLOB, UserId NUMBER, ContentLicense CLOB)
CREATE TABLE PendingFlags (Id NUMBER, FlagTypeId NUMBER, PostId NUMBER, CreationDate TIME, CloseReasonTypeId NUMBER, CloseAsOffTopicReasonTypeId NUMBER, DuplicateOfQuestionId NUMBER, BelongsOnBaseHostAddress CLOB)
CREATE TABLE 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 VoteTypes (Id NUMBER, Name CLOB)
CREATE TABLE ReviewTaskTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE ReviewTaskResultTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE ReviewTaskStates (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId NUMBER)
CREATE TABLE CloseReasonTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostHistory (Id NUMBER, PostHistoryTypeId NUMBER, PostId NUMBER, RevisionGUID other, CreationDate TIME, UserId NUMBER, UserDisplayName CLOB, Comment CLOB, Text CLOB, ContentLicense CLOB)
CREATE TABLE Posts (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE SuggestedEditVotes (Id NUMBER, SuggestedEditId NUMBER, UserId NUMBER, VoteTypeId NUMBER, CreationDate TIME, TargetUserId NUMBER, TargetRepChange NUMBER)
CREATE TABLE 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 PostTypes (Id NUMBER, Name CLOB)
CREATE TABLE TagSynonyms (Id NUMBER, SourceTagName CLOB, TargetTagName CLOB, CreationDate TIME, OwnerUserId NUMBER, AutoRenameCount NUMBER, LastAutoRename TIME, Score NUMBER, ApprovedByUserId NUMBER, ApprovalDate TIME)
CREATE TABLE PostTags (PostId NUMBER, TagId NUMBER)
CREATE TABLE PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId NUMBER)
CREATE TABLE Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount NUMBER)
CREATE TABLE ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment CLOB)
CREATE TABLE ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId NUMBER)
CREATE TABLE Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
| FB questions with low scoring answers and no accepted answer. | SELECT q.Id AS "post_link", q.CreationDate, COUNT(a.Id) AS answers, MAX(a.Score) AS max_score FROM Posts AS q LEFT JOIN Posts AS a ON a.ParentId = q.Id WHERE q.PostTypeId = 1 AND q.AcceptedAnswerId IS NULL AND q.Tags LIKE '%fantastic-beasts%' AND q.DeletionDate IS NULL AND q.ClosedDate IS NULL GROUP BY q.Id, q.CreationDate HAVING MAX(a.Score) < 10 ORDER BY max_score, CreationDate | SELECT "q"."Id" AS "post_link", "q"."CreationDate", COUNT("a"."Id") AS "answers", MAX("a"."Score") AS "max_score" FROM "Posts" "q" LEFT JOIN "Posts" "a" ON "a"."ParentId" = "q"."Id" WHERE "q"."AcceptedAnswerId" IS NULL AND "q"."ClosedDate" IS NULL AND "q"."DeletionDate" IS NULL AND "q"."PostTypeId" = 1 AND "q"."Tags" LIKE '%fantastic-beasts%' GROUP BY "q"."Id", "q"."CreationDate" HAVING MAX("a"."Score") < 10 ORDER BY "max_score", "CreationDate" | 0.4375 |
CREATE TABLE table_31270 ("Pick #" FLOAT, "MLS team" CLOB, "Player" CLOB, "Position" CLOB, "Affiliation" CLOB)
| Which team has a midfielder of konrad warzycha? | SELECT "MLS team" FROM table_31270 WHERE "Position" = 'Midfielder' AND "Player" = 'Konrad Warzycha' | SELECT "MLS team" FROM "table_31270" WHERE "Player" = 'Konrad Warzycha' AND "Position" = 'Midfielder' | 0.098633 |
CREATE TABLE region (region_id NUMBER, region_code CLOB, region_name CLOB)
CREATE TABLE storm (storm_id NUMBER, name CLOB, dates_active CLOB, max_speed NUMBER, damage_millions_usd NUMBER, number_deaths NUMBER)
CREATE TABLE affected_region (region_id NUMBER, storm_id NUMBER, number_city_affected NUMBER)
| What are the names of storms that both affected two or more regions and affected a total of 10 or more cities? | SELECT T1.name FROM storm AS T1 JOIN affected_region AS T2 ON T1.storm_id = T2.storm_id GROUP BY T1.storm_id HAVING COUNT(*) >= 2 INTERSECT SELECT T1.name FROM storm AS T1 JOIN affected_region AS T2 ON T1.storm_id = T2.storm_id GROUP BY T1.storm_id HAVING SUM(T2.number_city_affected) >= 10 | SELECT "T1"."name" FROM "storm" "T1" JOIN "affected_region" "T2" ON "T1"."storm_id" = "T2"."storm_id" GROUP BY "T1"."storm_id" HAVING COUNT(*) >= 2 INTERSECT SELECT "T1"."name" FROM "storm" "T1" JOIN "affected_region" "T2" ON "T1"."storm_id" = "T2"."storm_id" GROUP BY "T1"."storm_id" HAVING SUM("T2"."number_city_affected") >= 10 | 0.322266 |
CREATE TABLE patient (uniquepid CLOB, patienthealthsystemstayid NUMBER, patientunitstayid NUMBER, gender CLOB, age CLOB, ethnicity CLOB, hospitalid NUMBER, wardid NUMBER, admissionheight NUMBER, admissionweight NUMBER, dischargeweight NUMBER, hospitaladmittime TIME, hospitaladmitsource CLOB, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus CLOB)
CREATE TABLE intakeoutput (intakeoutputid NUMBER, patientunitstayid NUMBER, cellpath CLOB, celllabel CLOB, cellvaluenumeric NUMBER, intakeoutputtime TIME)
CREATE TABLE 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 cost (costid NUMBER, uniquepid CLOB, patienthealthsystemstayid NUMBER, eventtype CLOB, eventid NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime TIME)
CREATE TABLE allergy (allergyid NUMBER, patientunitstayid NUMBER, drugname CLOB, allergyname CLOB, allergytime TIME)
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)
| has patient 022-142620 had any medication until 08/2105? | SELECT COUNT(*) > 0 FROM medication WHERE medication.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '022-142620')) AND STRFTIME('%y-%m', medication.drugstarttime) <= '2105-08' | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '022-142620' 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 "medication" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "medication"."patientunitstayid" WHERE NOT "_u_1"."" IS NULL AND STRFTIME('%y-%m', "medication"."drugstarttime") <= '2105-08' | 0.544922 |
CREATE TABLE table_65374 ("Name" CLOB, "Team" CLOB, "Qual 1" CLOB, "Qual 2" CLOB, "Best" CLOB)
| Which Qual 1 has a Qual 2 of 58.861? | SELECT "Qual 1" FROM table_65374 WHERE "Qual 2" = '58.861' | SELECT "Qual 1" FROM "table_65374" WHERE "Qual 2" = '58.861' | 0.058594 |
CREATE TABLE table_name_28 (club VARCHAR2, runners_up VARCHAR2, last_final_won VARCHAR2)
| What club has over 1 runners-up and last won the final in 2010? | SELECT club FROM table_name_28 WHERE runners_up > 1 AND last_final_won = "2010" | SELECT "club" FROM "table_name_28" WHERE "2010" = "last_final_won" AND "runners_up" > 1 | 0.084961 |
CREATE TABLE table_17001658_5 (high_assists VARCHAR2, team VARCHAR2)
| Who had the most assists and how many did they have in the game against Miami? | SELECT high_assists FROM table_17001658_5 WHERE team = "Miami" | SELECT "high_assists" FROM "table_17001658_5" WHERE "Miami" = "team" | 0.066406 |
CREATE TABLE table_2076522_2 (accreditation VARCHAR2, school VARCHAR2)
| What is the accrediation for united tribes technical college? | SELECT accreditation FROM table_2076522_2 WHERE school = "United Tribes Technical College" | SELECT "accreditation" FROM "table_2076522_2" WHERE "United Tribes Technical College" = "school" | 0.09375 |
CREATE TABLE table_203_173 (id NUMBER, "year ( s ) " CLOB, "serial name" CLOB, "role" CLOB, "co-star" CLOB, "note ( s ) " CLOB, "channel" CLOB)
| how many times did kelkar play himself ? | SELECT COUNT(*) FROM table_203_173 WHERE "role" = 'himself' | SELECT COUNT(*) FROM "table_203_173" WHERE "role" = 'himself' | 0.05957 |
CREATE TABLE table_32272 ("Home team" CLOB, "Home team score" CLOB, "Away team" CLOB, "Away team score" CLOB, "Venue" CLOB, "Crowd" FLOAT, "Date" CLOB)
| What date did the home team score 12.7 (79)? | SELECT "Date" FROM table_32272 WHERE "Home team score" = '12.7 (79)' | SELECT "Date" FROM "table_32272" WHERE "Home team score" = '12.7 (79)' | 0.068359 |
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE 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)
| count the number of patients whose age is less than 80 and drug name is oseltamivir? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.age < "80" AND prescriptions.drug = "Oseltamivir" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "prescriptions" ON "Oseltamivir" = "prescriptions"."drug" AND "demographic"."hadm_id" = "prescriptions"."hadm_id" WHERE "80" > "demographic"."age" | 0.214844 |
CREATE TABLE table_70499 ("Team 1" CLOB, "Agg." CLOB, "Team 2" CLOB, "1st leg" CLOB, "2nd leg" CLOB)
| What was the 2nd leg score of the aggregate score of 4-9? | SELECT "2nd leg" FROM table_70499 WHERE "Agg." = '4-9' | SELECT "2nd leg" FROM "table_70499" WHERE "Agg." = '4-9' | 0.054688 |
CREATE TABLE COURSE (CRS_CODE VARCHAR2, DEPT_CODE VARCHAR2, CRS_DESCRIPTION VARCHAR2, CRS_CREDIT FLOAT)
CREATE TABLE PROFESSOR (EMP_NUM NUMBER, DEPT_CODE VARCHAR2, PROF_OFFICE VARCHAR2, PROF_EXTENSION VARCHAR2, PROF_HIGH_DEGREE VARCHAR2)
CREATE TABLE ENROLL (CLASS_CODE VARCHAR2, STU_NUM NUMBER, ENROLL_GRADE VARCHAR2)
CREATE TABLE CLASS (CLASS_CODE VARCHAR2, CRS_CODE VARCHAR2, CLASS_SECTION VARCHAR2, CLASS_TIME VARCHAR2, CLASS_ROOM VARCHAR2, PROF_NUM NUMBER)
CREATE TABLE DEPARTMENT (DEPT_CODE VARCHAR2, DEPT_NAME VARCHAR2, SCHOOL_CODE VARCHAR2, EMP_NUM NUMBER, DEPT_ADDRESS VARCHAR2, DEPT_EXTENSION VARCHAR2)
CREATE TABLE EMPLOYEE (EMP_NUM NUMBER, EMP_LNAME VARCHAR2, EMP_FNAME VARCHAR2, EMP_INITIAL VARCHAR2, EMP_JOBCODE VARCHAR2, EMP_HIREDATE DATETIME, EMP_DOB DATETIME)
CREATE TABLE STUDENT (STU_NUM NUMBER, STU_LNAME VARCHAR2, STU_FNAME VARCHAR2, STU_INIT VARCHAR2, STU_DOB DATETIME, STU_HRS NUMBER, STU_CLASS VARCHAR2, STU_GPA FLOAT, STU_TRANSFER NUMBER, DEPT_CODE VARCHAR2, STU_PHONE VARCHAR2, PROF_NUM NUMBER)
| how many credits does the department offer?, and could you order by the X in ascending? | SELECT DEPT_CODE, SUM(CRS_CREDIT) FROM COURSE GROUP BY DEPT_CODE ORDER BY DEPT_CODE | SELECT "DEPT_CODE", SUM("CRS_CREDIT") FROM "COURSE" GROUP BY "DEPT_CODE" ORDER BY "DEPT_CODE" | 0.09082 |
CREATE TABLE table_name_7 (runners_up VARCHAR2, club VARCHAR2)
| Who were the runners-up for the FC Viktoria Plze club? | SELECT runners_up FROM table_name_7 WHERE club = "fc viktoria plzeň" | SELECT "runners_up" FROM "table_name_7" WHERE "club" = "fc viktoria plzeň" | 0.072266 |
CREATE TABLE table_22544 ("Rank" CLOB, "Country" CLOB, "Jerseys" FLOAT, "Vuelta Wins" FLOAT, "Points" FLOAT, "KoM" FLOAT, "Combo" FLOAT, "Most recent cyclist" CLOB, "Most recent date" CLOB, "Different holders" FLOAT)
| When 155 is the jersey what is the highest amount of different holders? | SELECT MAX("Different holders") FROM table_22544 WHERE "Jerseys" = '155' | SELECT MAX("Different holders") FROM "table_22544" WHERE "Jerseys" = '155' | 0.072266 |
CREATE TABLE table_15887683_16 (hdtv VARCHAR2, television_service VARCHAR2)
| How many values of HDTV apply when television service is elite shopping tv? | SELECT COUNT(hdtv) FROM table_15887683_16 WHERE television_service = "Elite Shopping TV" | SELECT COUNT("hdtv") FROM "table_15887683_16" WHERE "Elite Shopping TV" = "television_service" | 0.091797 |
CREATE TABLE table_34432 ("Tournament" CLOB, "2003" CLOB, "2004" CLOB, "2005" CLOB, "2006" CLOB, "2007" CLOB, "2008" CLOB, "2009" CLOB, "2010" CLOB, "2011" CLOB, "2012" CLOB, "2013" CLOB, "Win %" FLOAT)
| Which 2008 has a 2005 of 13 3? | SELECT "2008" FROM table_34432 WHERE "2005" = '13–3' | SELECT "2008" FROM "table_34432" WHERE "2005" = '13–3' | 0.052734 |
CREATE TABLE table_29586 ("Represent" FLOAT, "Contestant" CLOB, "Age" FLOAT, "Sizes" CLOB, "Height" CLOB, "Hometown" CLOB, "Agency" CLOB)
| where is the participant marelissa him from | SELECT "Hometown" FROM table_29586 WHERE "Contestant" = 'Marelissa Him' | SELECT "Hometown" FROM "table_29586" WHERE "Contestant" = 'Marelissa Him' | 0.071289 |
CREATE TABLE table_50148 ("Tie no" CLOB, "Home team" CLOB, "Score" CLOB, "Away team" CLOB, "Date" CLOB)
| For Tie #2, who was the home team? | SELECT "Home team" FROM table_50148 WHERE "Tie no" = '2' | SELECT "Home team" FROM "table_50148" WHERE "Tie no" = '2' | 0.056641 |
CREATE TABLE table_74968 ("Condition" CLOB, "Prothrombin time" CLOB, "Partial thromboplastin time" CLOB, "Bleeding time" CLOB, "Platelet count" CLOB)
| Which Prothrombin time has a Platelet count of unaffected, and a Bleeding time of unaffected, and a Partial thromboplastin time of normal or mildly prolonged? | SELECT "Prothrombin time" FROM table_74968 WHERE "Platelet count" = 'unaffected' AND "Bleeding time" = 'unaffected' AND "Partial thromboplastin time" = 'normal or mildly prolonged' | SELECT "Prothrombin time" FROM "table_74968" WHERE "Bleeding time" = 'unaffected' AND "Partial thromboplastin time" = 'normal or mildly prolonged' AND "Platelet count" = 'unaffected' | 0.177734 |
CREATE TABLE flight (aircraft_code_sequence CLOB, airline_code VARCHAR2, airline_flight CLOB, arrival_time NUMBER, connections NUMBER, departure_time NUMBER, dual_carrier CLOB, flight_days CLOB, flight_id NUMBER, flight_number NUMBER, from_airport VARCHAR2, meal_code CLOB, stops NUMBER, time_elapsed NUMBER, to_airport VARCHAR2)
CREATE TABLE flight_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 airport_service (city_code VARCHAR2, airport_code VARCHAR2, miles_distant NUMBER, direction VARCHAR2, minutes_distant NUMBER)
CREATE TABLE code_description (code VARCHAR2, description CLOB)
CREATE TABLE flight_leg (flight_id NUMBER, leg_number NUMBER, leg_flight NUMBER)
CREATE TABLE aircraft (aircraft_code VARCHAR2, aircraft_description VARCHAR2, manufacturer VARCHAR2, basic_type VARCHAR2, engines NUMBER, propulsion VARCHAR2, wide_body VARCHAR2, wing_span NUMBER, length NUMBER, weight NUMBER, capacity NUMBER, pay_load NUMBER, cruising_speed NUMBER, range_miles NUMBER, pressurized VARCHAR2)
CREATE TABLE ground_service (city_code CLOB, airport_code CLOB, transport_type CLOB, ground_fare NUMBER)
CREATE TABLE state (state_code CLOB, state_name CLOB, country_name CLOB)
CREATE TABLE month (month_number NUMBER, month_name CLOB)
CREATE TABLE flight_fare (flight_id NUMBER, fare_id NUMBER)
CREATE TABLE airline (airline_code VARCHAR2, airline_name CLOB, note CLOB)
CREATE TABLE compartment_class (compartment VARCHAR2, class_type VARCHAR2)
CREATE TABLE city (city_code VARCHAR2, city_name VARCHAR2, state_code VARCHAR2, country_name VARCHAR2, time_zone_code VARCHAR2)
CREATE TABLE time_interval (period CLOB, begin_time NUMBER, end_time NUMBER)
CREATE TABLE food_service (meal_code CLOB, meal_number NUMBER, compartment CLOB, meal_description VARCHAR2)
CREATE TABLE class_of_service (booking_class VARCHAR2, rank NUMBER, class_description CLOB)
CREATE TABLE dual_carrier (main_airline VARCHAR2, low_flight_number NUMBER, high_flight_number NUMBER, dual_airline VARCHAR2, service_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 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 equipment_sequence (aircraft_code_sequence VARCHAR2, aircraft_code 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 date_day (month_number NUMBER, day_number NUMBER, year NUMBER, day_name VARCHAR2)
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 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)
| i want to depart WASHINGTON 4 20 to ATLANTA least expensive fare | SELECT DISTINCT flight.flight_id FROM airport_service AS AIRPORT_SERVICE_0, airport_service AS AIRPORT_SERVICE_1, airport_service AS AIRPORT_SERVICE_2, airport_service AS AIRPORT_SERVICE_3, city AS CITY_0, city AS CITY_1, city AS CITY_2, city AS CITY_3, date_day AS DATE_DAY_0, date_day AS DATE_DAY_1, days AS DAYS_0, days AS DAYS_1, fare, fare_basis, flight, flight_fare WHERE ((((CITY_3.city_code = AIRPORT_SERVICE_3.city_code AND CITY_3.city_name = 'ATLANTA' AND DATE_DAY_1.day_number = 20 AND DATE_DAY_1.month_number = 4 AND DATE_DAY_1.year = 1991 AND DAYS_1.day_name = DATE_DAY_1.day_name AND fare_basis.basis_days = DAYS_1.days_code AND fare.fare_basis_code = fare_basis.fare_basis_code AND fare.to_airport = AIRPORT_SERVICE_3.airport_code) AND CITY_2.city_code = AIRPORT_SERVICE_2.city_code AND CITY_2.city_name = 'WASHINGTON' AND fare.from_airport = AIRPORT_SERVICE_2.airport_code) AND DATE_DAY_0.day_number = 20 AND DATE_DAY_0.month_number = 4 AND DATE_DAY_0.year = 1991 AND DAYS_0.day_name = DATE_DAY_0.day_name AND fare.one_direction_cost = (SELECT MIN(FAREalias1.one_direction_cost) FROM airport_service AS AIRPORT_SERVICEalias4, airport_service AS AIRPORT_SERVICEalias5, city AS CITYalias4, city AS CITYalias5, date_day AS DATE_DAYalias2, days AS DAYSalias2, fare AS FAREalias1, fare_basis AS FARE_BASISalias1 WHERE (CITYalias5.city_code = AIRPORT_SERVICEalias5.city_code AND CITYalias5.city_name = 'ATLANTA' AND DATE_DAYalias2.day_number = 20 AND DATE_DAYalias2.month_number = 4 AND DATE_DAYalias2.year = 1991 AND DAYSalias2.day_name = DATE_DAYalias2.day_name AND FARE_BASISalias1.basis_days = DAYSalias2.days_code AND FAREalias1.fare_basis_code = FARE_BASISalias1.fare_basis_code AND FAREalias1.to_airport = AIRPORT_SERVICEalias5.airport_code) AND CITYalias4.city_code = AIRPORT_SERVICEalias4.city_code AND CITYalias4.city_name = 'WASHINGTON' AND FAREalias1.from_airport = AIRPORT_SERVICEalias4.airport_code) AND flight_fare.fare_id = fare.fare_id AND flight.flight_days = DAYS_0.days_code AND flight.flight_id = flight_fare.flight_id) AND CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'ATLANTA' AND flight.to_airport = AIRPORT_SERVICE_1.airport_code) AND CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'WASHINGTON' AND flight.from_airport = AIRPORT_SERVICE_0.airport_code | WITH "_u_0" AS (SELECT MIN("FAREalias1"."one_direction_cost") FROM "airport_service" "AIRPORT_SERVICEalias4" JOIN "date_day" "DATE_DAYalias2" ON "DATE_DAYalias2"."day_number" = 20 AND "DATE_DAYalias2"."month_number" = 4 AND "DATE_DAYalias2"."year" = 1991 JOIN "city" "CITYalias4" ON "AIRPORT_SERVICEalias4"."city_code" = "CITYalias4"."city_code" AND "CITYalias4"."city_name" = 'WASHINGTON' JOIN "days" "DAYSalias2" ON "DATE_DAYalias2"."day_name" = "DAYSalias2"."day_name" JOIN "fare" "FAREalias1" ON "AIRPORT_SERVICEalias4"."airport_code" = "FAREalias1"."from_airport" JOIN "airport_service" "AIRPORT_SERVICEalias5" ON "AIRPORT_SERVICEalias5"."airport_code" = "FAREalias1"."to_airport" JOIN "fare_basis" "FARE_BASISalias1" ON "DAYSalias2"."days_code" = "FARE_BASISalias1"."basis_days" AND "FARE_BASISalias1"."fare_basis_code" = "FAREalias1"."fare_basis_code" JOIN "city" "CITYalias5" ON "AIRPORT_SERVICEalias5"."city_code" = "CITYalias5"."city_code" AND "CITYalias5"."city_name" = 'ATLANTA') SELECT DISTINCT "flight"."flight_id" FROM "airport_service" "AIRPORT_SERVICE_0" CROSS JOIN "airport_service" "AIRPORT_SERVICE_3" JOIN "date_day" "DATE_DAY_0" ON "DATE_DAY_0"."day_number" = 20 AND "DATE_DAY_0"."month_number" = 4 AND "DATE_DAY_0"."year" = 1991 JOIN "date_day" "DATE_DAY_1" ON "DATE_DAY_1"."day_number" = 20 AND "DATE_DAY_1"."month_number" = 4 AND "DATE_DAY_1"."year" = 1991 JOIN "city" "CITY_0" ON "AIRPORT_SERVICE_0"."city_code" = "CITY_0"."city_code" AND "CITY_0"."city_name" = 'WASHINGTON' JOIN "city" "CITY_3" ON "AIRPORT_SERVICE_3"."city_code" = "CITY_3"."city_code" AND "CITY_3"."city_name" = 'ATLANTA' JOIN "days" "DAYS_0" ON "DATE_DAY_0"."day_name" = "DAYS_0"."day_name" JOIN "days" "DAYS_1" ON "DATE_DAY_1"."day_name" = "DAYS_1"."day_name" JOIN "fare" ON "AIRPORT_SERVICE_3"."airport_code" = "fare"."to_airport" JOIN "airport_service" "AIRPORT_SERVICE_2" ON "AIRPORT_SERVICE_2"."airport_code" = "fare"."from_airport" JOIN "_u_0" "_u_0" ON "_u_0"."" = "fare"."one_direction_cost" JOIN "fare_basis" ON "DAYS_1"."days_code" = "fare_basis"."basis_days" AND "fare"."fare_basis_code" = "fare_basis"."fare_basis_code" JOIN "flight" ON "AIRPORT_SERVICE_0"."airport_code" = "flight"."from_airport" AND "DAYS_0"."days_code" = "flight"."flight_days" JOIN "airport_service" "AIRPORT_SERVICE_1" ON "AIRPORT_SERVICE_1"."airport_code" = "flight"."to_airport" JOIN "city" "CITY_2" ON "AIRPORT_SERVICE_2"."city_code" = "CITY_2"."city_code" AND "CITY_2"."city_name" = 'WASHINGTON' JOIN "flight_fare" ON "fare"."fare_id" = "flight_fare"."fare_id" AND "flight"."flight_id" = "flight_fare"."flight_id" JOIN "city" "CITY_1" ON "AIRPORT_SERVICE_1"."city_code" = "CITY_1"."city_code" AND "CITY_1"."city_name" = 'ATLANTA' | 2.648438 |
CREATE TABLE table_27893892_2 (attendance NUMBER, date VARCHAR2)
| what was the participation for saturday, may 12 | SELECT MAX(attendance) FROM table_27893892_2 WHERE date = "Saturday, May 12" | SELECT MAX("attendance") FROM "table_27893892_2" WHERE "Saturday, May 12" = "date" | 0.080078 |
CREATE TABLE table_29135051_2 (guest_s_ VARCHAR2, ratings VARCHAR2)
| Name the guest for 1.64m ratings | SELECT guest_s_ FROM table_29135051_2 WHERE ratings = "1.64m" | SELECT "guest_s_" FROM "table_29135051_2" WHERE "1.64m" = "ratings" | 0.06543 |
CREATE TABLE table_6408 ("Feature" CLOB, "GT Force" CLOB, "Driving Force EX" CLOB, "Driving Force Pro" CLOB, "Driving Force GT" CLOB, "G25 Racing Wheel" CLOB, "G27 Racing Wheel" CLOB)
| GT Force of no, and a Driving Force Pro of no, and a G27 Racing Wheel of no has what driving force gt? | SELECT "Driving Force GT" FROM table_6408 WHERE "GT Force" = 'no' AND "Driving Force Pro" = 'no' AND "G27 Racing Wheel" = 'no' | SELECT "Driving Force GT" FROM "table_6408" WHERE "Driving Force Pro" = 'no' AND "G27 Racing Wheel" = 'no' AND "GT Force" = 'no' | 0.125 |
CREATE TABLE locations (LOCATION_ID NUMBER, STREET_ADDRESS VARCHAR2, POSTAL_CODE VARCHAR2, CITY VARCHAR2, STATE_PROVINCE VARCHAR2, COUNTRY_ID VARCHAR2)
CREATE TABLE job_history (EMPLOYEE_ID NUMBER, START_DATE DATE, END_DATE DATE, JOB_ID VARCHAR2, DEPARTMENT_ID NUMBER)
CREATE TABLE departments (DEPARTMENT_ID NUMBER, DEPARTMENT_NAME VARCHAR2, MANAGER_ID NUMBER, LOCATION_ID NUMBER)
CREATE TABLE countries (COUNTRY_ID VARCHAR2, COUNTRY_NAME VARCHAR2, REGION_ID NUMBER)
CREATE TABLE regions (REGION_ID NUMBER, REGION_NAME VARCHAR2)
CREATE TABLE employees (EMPLOYEE_ID NUMBER, FIRST_NAME VARCHAR2, LAST_NAME VARCHAR2, EMAIL VARCHAR2, PHONE_NUMBER VARCHAR2, HIRE_DATE DATE, JOB_ID VARCHAR2, SALARY NUMBER, COMMISSION_PCT NUMBER, MANAGER_ID NUMBER, DEPARTMENT_ID NUMBER)
CREATE TABLE jobs (JOB_ID VARCHAR2, JOB_TITLE VARCHAR2, MIN_SALARY NUMBER, MAX_SALARY NUMBER)
| For those employees who do not work in departments with managers that have ids between 100 and 200, give me the comparison about the average of manager_id over the hire_date bin hire_date by time. | SELECT HIRE_DATE, AVG(MANAGER_ID) FROM employees WHERE NOT DEPARTMENT_ID IN (SELECT DEPARTMENT_ID FROM departments WHERE MANAGER_ID BETWEEN 100 AND 200) | SELECT "HIRE_DATE", AVG("MANAGER_ID") FROM "employees" WHERE NOT "DEPARTMENT_ID" IN (SELECT "DEPARTMENT_ID" FROM "departments" WHERE "MANAGER_ID" <= 200 AND "MANAGER_ID" >= 100) | 0.172852 |
CREATE TABLE table_64144 ("Name" CLOB, "Championship" FLOAT, "League Cup" FLOAT, "FA Cup" FLOAT, "Total" FLOAT)
| Which Name has a Championship larger than 2, and a Total larger than 4, and an FA Cup larger than 0? | SELECT "Name" FROM table_64144 WHERE "Championship" > '2' AND "Total" > '4' AND "FA Cup" > '0' | SELECT "Name" FROM "table_64144" WHERE "Championship" > '2' AND "FA Cup" > '0' AND "Total" > '4' | 0.09375 |
CREATE TABLE table_43350 ("Rank" FLOAT, "Nation" CLOB, "Gold" FLOAT, "Silver" FLOAT, "Bronze" FLOAT, "Total" FLOAT)
| What is the lowest gold when there are 0 bronze and the total is less than 2, and silver is less than 0? | SELECT MIN("Gold") FROM table_43350 WHERE "Bronze" = '0' AND "Total" < '2' AND "Silver" < '0' | SELECT MIN("Gold") FROM "table_43350" WHERE "Bronze" = '0' AND "Silver" < '0' AND "Total" < '2' | 0.092773 |
CREATE TABLE table_52311 ("Name" CLOB, "Years" CLOB, "Gender" CLOB, "Area" CLOB, "Authority" CLOB, "Decile" FLOAT, "Roll" FLOAT)
| What is the name of the school in Hillcrest? | SELECT "Name" FROM table_52311 WHERE "Area" = 'hillcrest' | SELECT "Name" FROM "table_52311" WHERE "Area" = 'hillcrest' | 0.057617 |
CREATE TABLE table_72945 ("Player" CLOB, "Team" CLOB, "Matches" FLOAT, "Overs" CLOB, "Runs" FLOAT, "Wickets" FLOAT, "Best" CLOB, "Econ" CLOB, "S/Rate" CLOB, "4/inns" FLOAT, "5+/inns" FLOAT, "Average" CLOB)
| Name the matches for wickets 17 | SELECT "Matches" FROM table_72945 WHERE "Wickets" = '17' | SELECT "Matches" FROM "table_72945" WHERE "Wickets" = '17' | 0.056641 |
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
CREATE TABLE procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
CREATE TABLE microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
CREATE TABLE prescriptions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, startdate TIME, enddate TIME, drug CLOB, dose_val_rx CLOB, dose_unit_rx CLOB, route CLOB)
CREATE TABLE labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value 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 admissions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, admittime TIME, dischtime TIME, admission_type CLOB, admission_location CLOB, discharge_location CLOB, insurance CLOB, language CLOB, marital_status CLOB, ethnicity CLOB, age NUMBER)
CREATE TABLE inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
CREATE TABLE 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 diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
CREATE TABLE chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
| what's the change in creatinine in patient 32606 last measured on the last hospital visit compared to the value first measured on the last hospital visit? | SELECT (SELECT labevents.valuenum FROM labevents WHERE labevents.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 32606 AND NOT admissions.dischtime IS NULL ORDER BY admissions.admittime DESC LIMIT 1) AND labevents.itemid IN (SELECT d_labitems.itemid FROM d_labitems WHERE d_labitems.label = 'creatinine') ORDER BY labevents.charttime DESC LIMIT 1) - (SELECT labevents.valuenum FROM labevents WHERE labevents.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 32606 AND NOT admissions.dischtime IS NULL ORDER BY admissions.admittime DESC LIMIT 1) AND labevents.itemid IN (SELECT d_labitems.itemid FROM d_labitems WHERE d_labitems.label = 'creatinine') ORDER BY labevents.charttime LIMIT 1) | WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 32606 AND NOT "admissions"."dischtime" IS NULL GROUP BY "hadm_id" ORDER BY "admissions"."admittime" DESC FETCH FIRST 1 ROWS ONLY), "_u_1" AS (SELECT "d_labitems"."itemid" FROM "d_labitems" WHERE "d_labitems"."label" = 'creatinine' GROUP BY "itemid") SELECT (SELECT "labevents"."valuenum" FROM "labevents" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "labevents"."hadm_id" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "labevents"."itemid" WHERE NOT "_u_0"."" IS NULL AND NOT "_u_1"."" IS NULL ORDER BY "labevents"."charttime" DESC FETCH FIRST 1 ROWS ONLY) - (SELECT "labevents"."valuenum" FROM "labevents" LEFT JOIN "_u_0" "_u_3" ON "_u_3"."" = "labevents"."hadm_id" LEFT JOIN "_u_1" "_u_4" ON "_u_4"."" = "labevents"."itemid" WHERE NOT "_u_3"."" IS NULL AND NOT "_u_4"."" IS NULL ORDER BY "labevents"."charttime" FETCH FIRST 1 ROWS ONLY) | 0.901367 |
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)
| provide the number of patients whose marital status is divorced and primary disease is celo-vessicle fistula? | 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_58270 ("Home team" CLOB, "Home team score" CLOB, "Away team" CLOB, "Away team score" CLOB, "Venue" CLOB, "Crowd" FLOAT, "Date" CLOB)
| Tell me the away team for venue of western oval | SELECT "Away team" FROM table_58270 WHERE "Venue" = 'western oval' | SELECT "Away team" FROM "table_58270" WHERE "Venue" = 'western oval' | 0.066406 |
CREATE TABLE date_day (month_number NUMBER, day_number NUMBER, year NUMBER, day_name VARCHAR2)
CREATE TABLE month (month_number NUMBER, month_name CLOB)
CREATE TABLE state (state_code CLOB, state_name CLOB, country_name CLOB)
CREATE TABLE code_description (code VARCHAR2, description CLOB)
CREATE TABLE airport (airport_code VARCHAR2, airport_name CLOB, airport_location CLOB, state_code VARCHAR2, country_name VARCHAR2, time_zone_code VARCHAR2, minimum_connect_time NUMBER)
CREATE TABLE class_of_service (booking_class VARCHAR2, rank NUMBER, class_description CLOB)
CREATE TABLE food_service (meal_code CLOB, meal_number NUMBER, compartment CLOB, meal_description 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 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 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 ground_service (city_code CLOB, airport_code CLOB, transport_type CLOB, ground_fare NUMBER)
CREATE TABLE flight_fare (flight_id NUMBER, fare_id NUMBER)
CREATE TABLE fare_basis (fare_basis_code CLOB, booking_class CLOB, class_type CLOB, premium CLOB, economy CLOB, discounted CLOB, night CLOB, season CLOB, basis_days CLOB)
CREATE TABLE fare (fare_id NUMBER, from_airport VARCHAR2, to_airport VARCHAR2, fare_basis_code CLOB, fare_airline CLOB, restriction_code CLOB, one_direction_cost NUMBER, round_trip_cost NUMBER, round_trip_required VARCHAR2)
CREATE TABLE airline (airline_code VARCHAR2, airline_name CLOB, note CLOB)
CREATE TABLE city (city_code VARCHAR2, city_name VARCHAR2, state_code VARCHAR2, country_name VARCHAR2, time_zone_code VARCHAR2)
CREATE TABLE time_zone (time_zone_code CLOB, time_zone_name CLOB, hours_from_gmt NUMBER)
CREATE TABLE airport_service (city_code VARCHAR2, airport_code VARCHAR2, miles_distant NUMBER, direction VARCHAR2, minutes_distant NUMBER)
CREATE TABLE dual_carrier (main_airline VARCHAR2, low_flight_number NUMBER, high_flight_number NUMBER, dual_airline VARCHAR2, service_name CLOB)
CREATE TABLE time_interval (period CLOB, begin_time NUMBER, end_time NUMBER)
CREATE TABLE compartment_class (compartment VARCHAR2, class_type VARCHAR2)
CREATE TABLE days (days_code VARCHAR2, day_name 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_leg (flight_id NUMBER, leg_number NUMBER, leg_flight NUMBER)
CREATE TABLE equipment_sequence (aircraft_code_sequence VARCHAR2, aircraft_code VARCHAR2)
| what kind of ground transportation is available in ATLANTA | SELECT DISTINCT ground_service.transport_type FROM city, ground_service WHERE city.city_name = 'ATLANTA' AND ground_service.city_code = city.city_code | SELECT DISTINCT "ground_service"."transport_type" FROM "city" JOIN "ground_service" ON "city"."city_code" = "ground_service"."city_code" WHERE "city"."city_name" = 'ATLANTA' | 0.168945 |
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
| what is the maximum age of patients who posses self pay insurance and diagnosed with primary disease gangrene? | SELECT MAX(demographic.age) FROM demographic WHERE demographic.insurance = "Self Pay" AND demographic.diagnosis = "GANGRENE" | SELECT MAX("demographic"."age") FROM "demographic" WHERE "GANGRENE" = "demographic"."diagnosis" AND "Self Pay" = "demographic"."insurance" | 0.134766 |
CREATE TABLE train (id NUMBER, train_number NUMBER, name CLOB, origin CLOB, destination CLOB, time CLOB, interval CLOB)
CREATE TABLE route (train_id NUMBER, station_id NUMBER)
CREATE TABLE weekly_weather (station_id NUMBER, day_of_week CLOB, high_temperature NUMBER, low_temperature NUMBER, precipitation NUMBER, wind_speed_mph NUMBER)
CREATE TABLE station (id NUMBER, network_name CLOB, services CLOB, local_authority CLOB)
| Find the number and time of the train that goes from Chennai to Guruvayur. | SELECT train_number, time FROM train WHERE origin = 'Chennai' AND destination = 'Guruvayur' | SELECT "train_number", "time" FROM "train" WHERE "destination" = 'Guruvayur' AND "origin" = 'Chennai' | 0.098633 |
CREATE TABLE table_203_735 (id NUMBER, "rd" NUMBER, "pick" NUMBER, "player" CLOB, "position" CLOB, "school" CLOB)
| was chuck bednarik or frank tripucka the first draft pick ? | SELECT "player" FROM table_203_735 WHERE "pick" = 1 | SELECT "player" FROM "table_203_735" WHERE "pick" = 1 | 0.051758 |
CREATE TABLE patient (uniquepid CLOB, patienthealthsystemstayid NUMBER, patientunitstayid NUMBER, gender CLOB, age CLOB, ethnicity CLOB, hospitalid NUMBER, wardid NUMBER, admissionheight NUMBER, admissionweight NUMBER, dischargeweight NUMBER, hospitaladmittime TIME, hospitaladmitsource CLOB, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus CLOB)
CREATE TABLE medication (medicationid NUMBER, patientunitstayid NUMBER, drugname CLOB, dosage CLOB, routeadmin CLOB, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime TIME)
CREATE TABLE vitalperiodic (vitalperiodicid NUMBER, patientunitstayid NUMBER, temperature NUMBER, sao2 NUMBER, heartrate NUMBER, respiration NUMBER, systemicsystolic NUMBER, systemicdiastolic NUMBER, systemicmean NUMBER, observationtime TIME)
CREATE TABLE treatment (treatmentid NUMBER, patientunitstayid NUMBER, treatmentname CLOB, treatmenttime TIME)
CREATE TABLE cost (costid NUMBER, uniquepid CLOB, patienthealthsystemstayid NUMBER, eventtype CLOB, eventid NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE allergy (allergyid NUMBER, patientunitstayid NUMBER, drugname CLOB, allergyname CLOB, allergytime TIME)
CREATE TABLE diagnosis (diagnosisid NUMBER, patientunitstayid NUMBER, diagnosisname CLOB, diagnosistime TIME, icd9code CLOB)
CREATE TABLE microlab (microlabid NUMBER, patientunitstayid NUMBER, culturesite CLOB, organism CLOB, culturetakentime TIME)
CREATE TABLE intakeoutput (intakeoutputid NUMBER, patientunitstayid NUMBER, cellpath CLOB, celllabel CLOB, cellvaluenumeric NUMBER, intakeoutputtime TIME)
| what was the name of the organism that was found during the first bronchial lavage test of patient 031-19622 until 50 months ago? | SELECT microlab.organism FROM microlab WHERE microlab.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '031-19622')) AND microlab.culturesite = 'bronchial lavage' AND DATETIME(microlab.culturetakentime) <= DATETIME(CURRENT_TIME(), '-50 month') ORDER BY microlab.culturetakentime LIMIT 1 | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '031-19622' 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 "microlab"."organism" FROM "microlab" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "microlab"."patientunitstayid" WHERE "microlab"."culturesite" = 'bronchial lavage' AND DATETIME("microlab"."culturetakentime") <= DATETIME(CURRENT_TIME(), '-50 month') AND NOT "_u_1"."" IS NULL ORDER BY "microlab"."culturetakentime" FETCH FIRST 1 ROWS ONLY | 0.678711 |
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 diagnosis (diagnosisid NUMBER, patientunitstayid NUMBER, diagnosisname CLOB, diagnosistime TIME, icd9code CLOB)
CREATE TABLE intakeoutput (intakeoutputid NUMBER, patientunitstayid NUMBER, cellpath CLOB, celllabel CLOB, cellvaluenumeric NUMBER, intakeoutputtime TIME)
CREATE TABLE 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 vitalperiodic (vitalperiodicid NUMBER, patientunitstayid NUMBER, temperature NUMBER, sao2 NUMBER, heartrate NUMBER, respiration NUMBER, systemicsystolic NUMBER, systemicdiastolic NUMBER, systemicmean NUMBER, observationtime TIME)
CREATE TABLE treatment (treatmentid NUMBER, patientunitstayid NUMBER, treatmentname CLOB, treatmenttime TIME)
CREATE TABLE lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime TIME)
CREATE TABLE microlab (microlabid NUMBER, patientunitstayid NUMBER, culturesite CLOB, organism CLOB, culturetakentime TIME)
| what were the top five most common procedures that were followed within 2 months for patients who were diagnosed with cerebral subdural hematoma this year? | SELECT t3.treatmentname FROM (SELECT t2.treatmentname, DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS c1 FROM (SELECT patient.uniquepid, diagnosis.diagnosistime FROM diagnosis JOIN patient ON diagnosis.patientunitstayid = patient.patientunitstayid WHERE diagnosis.diagnosisname = 'cerebral subdural hematoma' AND DATETIME(diagnosis.diagnosistime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-0 year')) AS t1 JOIN (SELECT patient.uniquepid, treatment.treatmentname, treatment.treatmenttime FROM treatment JOIN patient ON treatment.patientunitstayid = patient.patientunitstayid WHERE DATETIME(treatment.treatmenttime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-0 year')) AS t2 ON t1.uniquepid = t2.uniquepid WHERE t1.diagnosistime < t2.treatmenttime AND DATETIME(t2.treatmenttime) BETWEEN DATETIME(t1.diagnosistime) AND DATETIME(t1.diagnosistime, '+2 month') GROUP BY t2.treatmentname) AS t3 WHERE t3.c1 <= 5 | WITH "t2" AS (SELECT "patient"."uniquepid", "treatment"."treatmentname", "treatment"."treatmenttime" FROM "treatment" JOIN "patient" ON "patient"."patientunitstayid" = "treatment"."patientunitstayid" WHERE DATETIME("treatment"."treatmenttime", 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-0 year')), "t3" AS (SELECT "t2"."treatmentname", DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS "c1" FROM "diagnosis" JOIN "patient" ON "diagnosis"."patientunitstayid" = "patient"."patientunitstayid" JOIN "t2" "t2" ON "diagnosis"."diagnosistime" < "t2"."treatmenttime" AND "patient"."uniquepid" = "t2"."uniquepid" AND DATETIME("diagnosis"."diagnosistime") <= DATETIME("t2"."treatmenttime") AND DATETIME("diagnosis"."diagnosistime", '+2 month') >= DATETIME("t2"."treatmenttime") WHERE "diagnosis"."diagnosisname" = 'cerebral subdural hematoma' AND DATETIME("diagnosis"."diagnosistime", 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-0 year') GROUP BY "t2"."treatmentname") SELECT "t3"."treatmentname" FROM "t3" "t3" WHERE "t3"."c1" <= 5 | 1.032227 |
CREATE TABLE table_28243323_1 (basis_for_team_song VARCHAR2, club_name VARCHAR2)
| How many team songs does fremantle have? | SELECT COUNT(basis_for_team_song) FROM table_28243323_1 WHERE club_name = "Fremantle" | SELECT COUNT("basis_for_team_song") FROM "table_28243323_1" WHERE "Fremantle" = "club_name" | 0.088867 |
CREATE TABLE table_11677691_11 (school VARCHAR2, player VARCHAR2)
| How many schools did Derrick Green attend? | SELECT COUNT(school) FROM table_11677691_11 WHERE player = "Derrick Green" | SELECT COUNT("school") FROM "table_11677691_11" WHERE "Derrick Green" = "player" | 0.078125 |
CREATE TABLE Allergy_Type (Allergy VARCHAR2, AllergyType VARCHAR2)
CREATE TABLE Student (StuID NUMBER, LName VARCHAR2, Fname VARCHAR2, Age NUMBER, Sex VARCHAR2, Major NUMBER, Advisor NUMBER, city_code VARCHAR2)
CREATE TABLE Has_Allergy (StuID NUMBER, Allergy VARCHAR2)
| Plot the total number by grouped by city code as a bar graph | SELECT city_code, COUNT(*) FROM Student GROUP BY city_code | SELECT "city_code", COUNT(*) FROM "Student" GROUP BY "city_code" | 0.0625 |
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
| what is the number of patients whose discharge location is home health care and procedure long title is open biopsy of liver? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.discharge_location = "HOME HEALTH CARE" AND procedures.long_title = "Open biopsy of liver" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "procedures" ON "Open biopsy of liver" = "procedures"."long_title" AND "demographic"."hadm_id" = "procedures"."hadm_id" WHERE "HOME HEALTH CARE" = "demographic"."discharge_location" | 0.249023 |
CREATE TABLE table_134987_3 (name VARCHAR2, city_of_license VARCHAR2, format VARCHAR2)
| What is the name of Rapid City's Adult Contemporary station? | SELECT name FROM table_134987_3 WHERE city_of_license = "Rapid City" AND format = "Adult Contemporary" | SELECT "name" FROM "table_134987_3" WHERE "Adult Contemporary" = "format" AND "Rapid City" = "city_of_license" | 0.107422 |
CREATE TABLE Detention (detention_id NUMBER, detention_type_code VARCHAR2, teacher_id NUMBER, datetime_detention_start DATETIME, datetime_detention_end DATETIME, detention_summary VARCHAR2, other_details VARCHAR2)
CREATE TABLE Students_in_Detention (student_id NUMBER, detention_id NUMBER, incident_id NUMBER)
CREATE TABLE Ref_Address_Types (address_type_code VARCHAR2, address_type_description VARCHAR2)
CREATE TABLE Students (student_id NUMBER, address_id NUMBER, first_name VARCHAR2, middle_name VARCHAR2, last_name VARCHAR2, cell_mobile_number VARCHAR2, email_address VARCHAR2, date_first_rental DATETIME, date_left_university DATETIME, other_student_details VARCHAR2)
CREATE TABLE Ref_Incident_Type (incident_type_code VARCHAR2, incident_type_description VARCHAR2)
CREATE TABLE Assessment_Notes (notes_id NUMBER, student_id NUMBER, teacher_id NUMBER, date_of_notes DATETIME, text_of_notes VARCHAR2, other_details VARCHAR2)
CREATE TABLE Ref_Detention_Type (detention_type_code VARCHAR2, detention_type_description VARCHAR2)
CREATE TABLE Addresses (address_id NUMBER, line_1 VARCHAR2, line_2 VARCHAR2, line_3 VARCHAR2, city VARCHAR2, zip_postcode VARCHAR2, state_province_county VARCHAR2, country VARCHAR2, other_address_details VARCHAR2)
CREATE TABLE Student_Addresses (student_id NUMBER, address_id NUMBER, date_address_from DATETIME, date_address_to DATETIME, monthly_rental NUMBER, other_details VARCHAR2)
CREATE TABLE Behavior_Incident (incident_id NUMBER, incident_type_code VARCHAR2, student_id NUMBER, date_incident_start DATETIME, date_incident_end DATETIME, incident_summary VARCHAR2, recommendations VARCHAR2, other_details VARCHAR2)
CREATE TABLE Teachers (teacher_id NUMBER, address_id NUMBER, first_name VARCHAR2, middle_name VARCHAR2, last_name VARCHAR2, gender VARCHAR2, cell_mobile_number VARCHAR2, email_address VARCHAR2, other_details VARCHAR2)
| Give me a pie chart to reflect the proportion of other_details and the amount of other_details. | SELECT other_details, COUNT(other_details) FROM Student_Addresses GROUP BY other_details ORDER BY monthly_rental DESC | SELECT "other_details", COUNT("other_details") FROM "Student_Addresses" GROUP BY "other_details" ORDER BY "monthly_rental" DESC | 0.124023 |
CREATE TABLE table_name_46 (h___a VARCHAR2, date VARCHAR2)
| What is the H/A on 5 August 1990? | SELECT h___a FROM table_name_46 WHERE date = "5 august 1990" | SELECT "h___a" FROM "table_name_46" WHERE "5 august 1990" = "date" | 0.064453 |
CREATE TABLE Financial_transactions (transaction_type VARCHAR2, transaction_amount NUMBER)
| What is the transaction type that has processed the greatest total amount in transactions? | SELECT transaction_type FROM Financial_transactions GROUP BY transaction_type ORDER BY SUM(transaction_amount) DESC LIMIT 1 | SELECT "transaction_type" FROM "Financial_transactions" GROUP BY "transaction_type" ORDER BY SUM("transaction_amount") DESC FETCH FIRST 1 ROWS ONLY | 0.143555 |
CREATE TABLE table_204_568 (id NUMBER, "pennant" CLOB, "name" CLOB, "hull builder" CLOB, "ordered" CLOB, "laid down" CLOB, "launched" CLOB, "accepted into service" CLOB, "commissioned" CLOB, "est. building cost" CLOB, "fate" CLOB)
| what is the last name listed on this chart ? | SELECT "name" FROM table_204_568 ORDER BY id DESC LIMIT 1 | SELECT "name" FROM "table_204_568" ORDER BY "id" DESC FETCH FIRST 1 ROWS ONLY | 0.075195 |
CREATE TABLE table_name_45 (field_goals NUMBER, extra_points VARCHAR2, touchdowns VARCHAR2, player VARCHAR2)
| How many Field goals have Touchdowns smaller than 3, and a Player of willis ward, and an Extra points smaller than 0? | SELECT SUM(field_goals) FROM table_name_45 WHERE touchdowns < 3 AND player = "willis ward" AND extra_points < 0 | SELECT SUM("field_goals") FROM "table_name_45" WHERE "extra_points" < 0 AND "player" = "willis ward" AND "touchdowns" < 3 | 0.118164 |
CREATE TABLE table_name_44 (points_for VARCHAR2, tries_against VARCHAR2)
| What is the Points for number of the team with a 10 Tries against number? | SELECT points_for FROM table_name_44 WHERE tries_against = "10" | SELECT "points_for" FROM "table_name_44" WHERE "10" = "tries_against" | 0.067383 |
CREATE TABLE patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod 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 microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
CREATE TABLE procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
CREATE TABLE prescriptions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, startdate TIME, enddate TIME, drug CLOB, dose_val_rx CLOB, dose_unit_rx CLOB, route CLOB)
CREATE TABLE d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
CREATE TABLE transfers (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, eventtype CLOB, careunit CLOB, wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE 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 labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
CREATE TABLE inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
CREATE TABLE d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE 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)
| what is the drug that has been prescribed patient 14467 for two or more times in this month? | SELECT t1.drug FROM (SELECT prescriptions.drug, COUNT(prescriptions.startdate) AS c1 FROM prescriptions WHERE prescriptions.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 14467) AND DATETIME(prescriptions.startdate, 'start of month') = DATETIME(CURRENT_TIME(), 'start of month', '-0 month') GROUP BY prescriptions.drug) AS t1 WHERE t1.c1 >= 2 | WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 14467 GROUP BY "hadm_id"), "t1" AS (SELECT "prescriptions"."drug", COUNT("prescriptions"."startdate") AS "c1" FROM "prescriptions" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "prescriptions"."hadm_id" WHERE DATETIME("prescriptions"."startdate", 'start of month') = DATETIME(CURRENT_TIME(), 'start of month', '-0 month') AND NOT "_u_0"."" IS NULL GROUP BY "prescriptions"."drug") SELECT "t1"."drug" FROM "t1" "t1" WHERE "t1"."c1" >= 2 | 0.513672 |
CREATE TABLE employees (EMPLOYEE_ID NUMBER, FIRST_NAME VARCHAR2, LAST_NAME VARCHAR2, EMAIL VARCHAR2, PHONE_NUMBER VARCHAR2, HIRE_DATE DATE, JOB_ID VARCHAR2, SALARY NUMBER, COMMISSION_PCT NUMBER, MANAGER_ID NUMBER, DEPARTMENT_ID NUMBER)
CREATE TABLE locations (LOCATION_ID NUMBER, STREET_ADDRESS VARCHAR2, POSTAL_CODE VARCHAR2, CITY VARCHAR2, STATE_PROVINCE VARCHAR2, COUNTRY_ID VARCHAR2)
CREATE TABLE regions (REGION_ID NUMBER, REGION_NAME VARCHAR2)
CREATE TABLE countries (COUNTRY_ID VARCHAR2, COUNTRY_NAME VARCHAR2, REGION_ID NUMBER)
CREATE TABLE jobs (JOB_ID VARCHAR2, JOB_TITLE VARCHAR2, MIN_SALARY NUMBER, MAX_SALARY NUMBER)
CREATE TABLE job_history (EMPLOYEE_ID NUMBER, START_DATE DATE, END_DATE DATE, JOB_ID VARCHAR2, DEPARTMENT_ID NUMBER)
CREATE TABLE departments (DEPARTMENT_ID NUMBER, DEPARTMENT_NAME VARCHAR2, MANAGER_ID NUMBER, LOCATION_ID NUMBER)
| For those employees whose salary is in the range of 8000 and 12000 and commission is not null or department number does not equal to 40, show me about the distribution of job_id and the sum of employee_id , and group by attribute job_id in a bar chart. | SELECT JOB_ID, SUM(EMPLOYEE_ID) FROM employees WHERE SALARY BETWEEN 8000 AND 12000 AND COMMISSION_PCT <> "null" OR DEPARTMENT_ID <> 40 GROUP BY JOB_ID | SELECT "JOB_ID", SUM("EMPLOYEE_ID") FROM "employees" WHERE ("COMMISSION_PCT" <> "null" OR "DEPARTMENT_ID" <> 40) AND ("DEPARTMENT_ID" <> 40 OR "SALARY" <= 12000) AND ("DEPARTMENT_ID" <> 40 OR "SALARY" >= 8000) GROUP BY "JOB_ID" | 0.22168 |
CREATE TABLE table_74486 ("Rank" CLOB, "Nation" CLOB, "Gold" FLOAT, "Silver" FLOAT, "Bronze" FLOAT, "Total" FLOAT)
| Tell me the lowest gold for rank of 6 and total less than 2 | SELECT MIN("Gold") FROM table_74486 WHERE "Rank" = '6' AND "Total" < '2' | SELECT MIN("Gold") FROM "table_74486" WHERE "Rank" = '6' AND "Total" < '2' | 0.072266 |
CREATE TABLE table_name_99 (points NUMBER, difference VARCHAR2, against VARCHAR2)
| What is the average number of points for a difference of 55 and an against less than 47? | SELECT AVG(points) FROM table_name_99 WHERE difference = "55" AND against < 47 | SELECT AVG("points") FROM "table_name_99" WHERE "55" = "difference" AND "against" < 47 | 0.083984 |
CREATE TABLE table_224672_2 (term_ended VARCHAR2, term_began VARCHAR2)
| When did the term end that began December 4, 1978? | SELECT term_ended FROM table_224672_2 WHERE term_began = "December 4, 1978" | SELECT "term_ended" FROM "table_224672_2" WHERE "December 4, 1978" = "term_began" | 0.079102 |
CREATE TABLE course (course_id NUMBER, name VARCHAR2, department VARCHAR2, number VARCHAR2, credits VARCHAR2, advisory_requirement VARCHAR2, enforced_requirement VARCHAR2, description VARCHAR2, num_semesters NUMBER, num_enrolled NUMBER, has_discussion VARCHAR2, has_lab VARCHAR2, has_projects VARCHAR2, has_exams VARCHAR2, num_reviews NUMBER, clarity_score NUMBER, easiness_score NUMBER, helpfulness_score NUMBER)
CREATE TABLE student_record (student_id NUMBER, course_id NUMBER, semester NUMBER, grade VARCHAR2, how VARCHAR2, transfer_source VARCHAR2, earn_credit VARCHAR2, repeat_term VARCHAR2, test_id VARCHAR2)
CREATE TABLE course_prerequisite (pre_course_id NUMBER, course_id NUMBER)
CREATE TABLE semester (semester_id NUMBER, semester VARCHAR2, year NUMBER)
CREATE TABLE ta (campus_job_id NUMBER, student_id NUMBER, location VARCHAR2)
CREATE TABLE requirement (requirement_id NUMBER, requirement VARCHAR2, college VARCHAR2)
CREATE TABLE jobs (job_id NUMBER, job_title VARCHAR2, description VARCHAR2, requirement VARCHAR2, city VARCHAR2, state VARCHAR2, country VARCHAR2, zip NUMBER)
CREATE TABLE offering_instructor (offering_instructor_id NUMBER, offering_id NUMBER, instructor_id NUMBER)
CREATE TABLE gsi (course_offering_id NUMBER, student_id 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 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 comment_instructor (instructor_id NUMBER, student_id NUMBER, score NUMBER, comment_text VARCHAR2)
CREATE TABLE area (course_id NUMBER, area VARCHAR2)
CREATE TABLE program_requirement (program_id NUMBER, category VARCHAR2, min_credit NUMBER, additional_req VARCHAR2)
CREATE TABLE program_course (program_id NUMBER, course_id NUMBER, workload NUMBER, category VARCHAR2)
CREATE TABLE 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 (program_id NUMBER, name VARCHAR2, college VARCHAR2, introduction VARCHAR2)
CREATE TABLE instructor (instructor_id NUMBER, name VARCHAR2, uniqname VARCHAR2)
| What are the courses that I should take before POLSCI 604 ? | SELECT DISTINCT COURSE_0.department, COURSE_0.name, COURSE_0.number FROM course AS COURSE_0, course AS COURSE_1, course_prerequisite WHERE COURSE_0.course_id = course_prerequisite.pre_course_id AND NOT COURSE_0.course_id IN (SELECT STUDENT_RECORDalias0.course_id FROM student_record AS STUDENT_RECORDalias0 WHERE STUDENT_RECORDalias0.student_id = 1) AND COURSE_1.course_id = course_prerequisite.course_id AND COURSE_1.department = 'POLSCI' AND COURSE_1.number = 604 | WITH "_u_0" AS (SELECT "STUDENT_RECORDalias0"."course_id" FROM "student_record" "STUDENT_RECORDalias0" WHERE "STUDENT_RECORDalias0"."student_id" = 1 GROUP BY "course_id") SELECT DISTINCT "COURSE_0"."department", "COURSE_0"."name", "COURSE_0"."number" FROM "course" "COURSE_0" LEFT JOIN "_u_0" "_u_0" ON "COURSE_0"."course_id" = "_u_0"."" JOIN "course_prerequisite" ON "COURSE_0"."course_id" = "course_prerequisite"."pre_course_id" JOIN "course" "COURSE_1" ON "COURSE_1"."course_id" = "course_prerequisite"."course_id" AND "COURSE_1"."department" = 'POLSCI' AND "COURSE_1"."number" = 604 WHERE "_u_0"."" IS NULL | 0.595703 |
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 ta (campus_job_id NUMBER, student_id NUMBER, location VARCHAR2)
CREATE TABLE semester (semester_id NUMBER, semester VARCHAR2, year NUMBER)
CREATE TABLE jobs (job_id NUMBER, job_title VARCHAR2, description VARCHAR2, requirement VARCHAR2, city VARCHAR2, state VARCHAR2, country VARCHAR2, zip NUMBER)
CREATE TABLE requirement (requirement_id NUMBER, requirement VARCHAR2, college VARCHAR2)
CREATE TABLE offering_instructor (offering_instructor_id NUMBER, offering_id NUMBER, instructor_id NUMBER)
CREATE TABLE comment_instructor (instructor_id NUMBER, student_id NUMBER, score NUMBER, comment_text VARCHAR2)
CREATE TABLE program_course (program_id NUMBER, course_id NUMBER, workload NUMBER, category VARCHAR2)
CREATE TABLE course_prerequisite (pre_course_id NUMBER, course_id NUMBER)
CREATE TABLE course (course_id NUMBER, name VARCHAR2, department VARCHAR2, number VARCHAR2, credits VARCHAR2, advisory_requirement VARCHAR2, enforced_requirement VARCHAR2, description VARCHAR2, num_semesters NUMBER, num_enrolled NUMBER, has_discussion VARCHAR2, has_lab VARCHAR2, has_projects VARCHAR2, has_exams VARCHAR2, num_reviews NUMBER, clarity_score NUMBER, easiness_score NUMBER, helpfulness_score NUMBER)
CREATE TABLE program_requirement (program_id NUMBER, category VARCHAR2, min_credit NUMBER, additional_req VARCHAR2)
CREATE TABLE course_offering (offering_id NUMBER, course_id NUMBER, semester NUMBER, section_number NUMBER, start_time TIME, end_time TIME, monday VARCHAR2, tuesday VARCHAR2, wednesday VARCHAR2, thursday VARCHAR2, friday VARCHAR2, saturday VARCHAR2, sunday VARCHAR2, has_final_project VARCHAR2, has_final_exam VARCHAR2, textbook VARCHAR2, class_address VARCHAR2, allow_audit VARCHAR2)
CREATE TABLE area (course_id NUMBER, area VARCHAR2)
CREATE TABLE gsi (course_offering_id NUMBER, student_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 instructor (instructor_id NUMBER, name VARCHAR2, uniqname 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)
| What classes in the upper-level have projects but no exams . | SELECT DISTINCT course.department, course.name, course.number FROM course INNER JOIN program_course ON program_course.course_id = course.course_id WHERE course.has_exams = 'N' AND course.has_projects = 'Y' AND program_course.category LIKE 'ULCS' | SELECT DISTINCT "course"."department", "course"."name", "course"."number" FROM "course" JOIN "program_course" ON "course"."course_id" = "program_course"."course_id" AND "program_course"."category" LIKE 'ULCS' WHERE "course"."has_exams" = 'N' AND "course"."has_projects" = 'Y' | 0.268555 |
CREATE TABLE table_45798 ("Game" FLOAT, "Date" CLOB, "Team" CLOB, "Score" CLOB, "Record" CLOB, "Streak" CLOB)
| Which Date has a Score of 112 118? | SELECT "Date" FROM table_45798 WHERE "Score" = '112–118' | SELECT "Date" FROM "table_45798" WHERE "Score" = '112–118' | 0.056641 |
CREATE TABLE table_27616663_1 (theme VARCHAR2, original_artist VARCHAR2)
| What was the theme when original artist Rosana's song was performed? | SELECT theme FROM table_27616663_1 WHERE original_artist = "Rosana" | SELECT "theme" FROM "table_27616663_1" WHERE "Rosana" = "original_artist" | 0.071289 |
CREATE TABLE area (course_id NUMBER, area VARCHAR2)
CREATE TABLE program_requirement (program_id NUMBER, category VARCHAR2, min_credit NUMBER, additional_req 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 semester (semester_id NUMBER, semester VARCHAR2, year NUMBER)
CREATE TABLE instructor (instructor_id NUMBER, name VARCHAR2, uniqname VARCHAR2)
CREATE TABLE program_course (program_id NUMBER, course_id NUMBER, workload NUMBER, category 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 jobs (job_id NUMBER, job_title VARCHAR2, description VARCHAR2, requirement VARCHAR2, city VARCHAR2, state VARCHAR2, country VARCHAR2, zip NUMBER)
CREATE TABLE comment_instructor (instructor_id NUMBER, student_id NUMBER, score NUMBER, comment_text 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 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 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 ta (campus_job_id NUMBER, student_id NUMBER, location VARCHAR2)
CREATE TABLE course_prerequisite (pre_course_id NUMBER, course_id NUMBER)
CREATE TABLE course (course_id NUMBER, name VARCHAR2, department VARCHAR2, number VARCHAR2, credits VARCHAR2, advisory_requirement VARCHAR2, enforced_requirement VARCHAR2, description VARCHAR2, num_semesters NUMBER, num_enrolled NUMBER, has_discussion VARCHAR2, has_lab VARCHAR2, has_projects VARCHAR2, has_exams VARCHAR2, num_reviews NUMBER, clarity_score NUMBER, easiness_score NUMBER, helpfulness_score NUMBER)
CREATE TABLE requirement (requirement_id NUMBER, requirement VARCHAR2, college VARCHAR2)
CREATE TABLE program (program_id NUMBER, name VARCHAR2, college VARCHAR2, introduction VARCHAR2)
| Of all the courses on Advanced Statistical Methods , which have no prerequisites ? | SELECT DISTINCT course.department, course.name, course.number FROM course INNER JOIN area ON course.course_id = area.course_id WHERE (area.area LIKE '%Advanced Statistical Methods%' OR course.description LIKE '%Advanced Statistical Methods%' OR course.name LIKE '%Advanced Statistical Methods%') AND course.enforced_requirement = 'N / A' | SELECT DISTINCT "course"."department", "course"."name", "course"."number" FROM "course" JOIN "area" ON ("area"."area" LIKE '%Advanced Statistical Methods%' OR "course"."description" LIKE '%Advanced Statistical Methods%' OR "course"."name" LIKE '%Advanced Statistical Methods%') AND "area"."course_id" = "course"."course_id" WHERE "course"."enforced_requirement" = 'N / A' | 0.362305 |
CREATE TABLE table_70547 ("Week" FLOAT, "Date" CLOB, "Opponent" CLOB, "Result" CLOB, "Game site" CLOB, "Record" CLOB, "GameCenter" CLOB, "TV Time" CLOB, "Attendance" CLOB)
| Name the gamecenter that has attendance of 65,212 | SELECT "GameCenter" FROM table_70547 WHERE "Attendance" = '65,212' | SELECT "GameCenter" FROM "table_70547" WHERE "Attendance" = '65,212' | 0.066406 |
CREATE TABLE table_name_35 (score VARCHAR2, team VARCHAR2)
| What is the Score with a Team with @ houston? | SELECT score FROM table_name_35 WHERE team = "@ houston" | SELECT "score" FROM "table_name_35" WHERE "@ houston" = "team" | 0.060547 |
CREATE TABLE table_48050 ("Month" CLOB, "Births" CLOB, "Deaths" CLOB, "Rate ( % ) " CLOB, "Sort restore" FLOAT)
| What is the number of sort values associated with 389 births? | SELECT COUNT("Sort restore") FROM table_48050 WHERE "Births" = '389' | SELECT COUNT("Sort restore") FROM "table_48050" WHERE "Births" = '389' | 0.068359 |
CREATE TABLE table_name_99 (result VARCHAR2, attendance VARCHAR2)
| Which Result has an Attendance of bye? | SELECT result FROM table_name_99 WHERE attendance = "bye" | SELECT "result" FROM "table_name_99" WHERE "attendance" = "bye" | 0.061523 |
CREATE TABLE table_10815352_1 (total_attendance NUMBER, sport VARCHAR2, league VARCHAR2)
| What's the minimum total attendance of the Premier League association football? | SELECT MIN(total_attendance) FROM table_10815352_1 WHERE sport = "Association football" AND league = "Premier league" | SELECT MIN("total_attendance") FROM "table_10815352_1" WHERE "Association football" = "sport" AND "Premier league" = "league" | 0.12207 |
CREATE TABLE table_name_92 (player VARCHAR2, team VARCHAR2)
| Who plays for the chicago bulls? | SELECT player FROM table_name_92 WHERE team = "chicago bulls" | SELECT "player" FROM "table_name_92" WHERE "chicago bulls" = "team" | 0.06543 |
CREATE TABLE cost (costid NUMBER, uniquepid CLOB, patienthealthsystemstayid NUMBER, eventtype CLOB, eventid NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE vitalperiodic (vitalperiodicid NUMBER, patientunitstayid NUMBER, temperature NUMBER, sao2 NUMBER, heartrate NUMBER, respiration NUMBER, systemicsystolic NUMBER, systemicdiastolic NUMBER, systemicmean NUMBER, observationtime TIME)
CREATE TABLE diagnosis (diagnosisid NUMBER, patientunitstayid NUMBER, diagnosisname CLOB, diagnosistime TIME, icd9code CLOB)
CREATE TABLE lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime TIME)
CREATE TABLE medication (medicationid NUMBER, patientunitstayid NUMBER, drugname CLOB, dosage CLOB, routeadmin CLOB, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE microlab (microlabid NUMBER, patientunitstayid NUMBER, culturesite CLOB, organism CLOB, culturetakentime TIME)
CREATE TABLE treatment (treatmentid NUMBER, patientunitstayid NUMBER, treatmentname CLOB, treatmenttime TIME)
CREATE TABLE allergy (allergyid NUMBER, patientunitstayid NUMBER, drugname CLOB, allergyname CLOB, allergytime TIME)
CREATE TABLE intakeoutput (intakeoutputid NUMBER, patientunitstayid NUMBER, cellpath CLOB, celllabel CLOB, cellvaluenumeric NUMBER, intakeoutputtime 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)
| how many people died after being diagnosed with acute coronary syndrome - acute myocardial infarction (no st elevation) during the same hospital visit since 2102? | SELECT COUNT(DISTINCT t2.uniquepid) FROM (SELECT t1.uniquepid, t1.diagnosistime, t1.patienthealthsystemstayid FROM (SELECT patient.uniquepid, diagnosis.diagnosistime, patient.patienthealthsystemstayid FROM diagnosis JOIN patient ON diagnosis.patientunitstayid = patient.patientunitstayid WHERE diagnosis.diagnosisname = 'acute coronary syndrome - acute myocardial infarction (no st elevation)') AS t1 GROUP BY t1.uniquepid HAVING MIN(t1.diagnosistime) = t1.diagnosistime AND STRFTIME('%y', t1.diagnosistime) >= '2102') AS t2 JOIN (SELECT patient.uniquepid, patient.patienthealthsystemstayid, patient.hospitaldischargetime FROM patient WHERE patient.hospitaldischargestatus = 'expired') AS t3 ON t2.uniquepid = t3.uniquepid WHERE t2.patienthealthsystemstayid = t3.patienthealthsystemstayid | WITH "t2" AS (SELECT "patient"."uniquepid", "patient"."patienthealthsystemstayid" FROM "diagnosis" JOIN "patient" ON "diagnosis"."patientunitstayid" = "patient"."patientunitstayid" WHERE "diagnosis"."diagnosisname" = 'acute coronary syndrome - acute myocardial infarction (no st elevation)' GROUP BY "patient"."uniquepid" HAVING "diagnosis"."diagnosistime" = MIN("diagnosis"."diagnosistime") AND STRFTIME('%y', "diagnosis"."diagnosistime") >= '2102') SELECT COUNT(DISTINCT "t2"."uniquepid") FROM "t2" "t2" JOIN "patient" ON "patient"."hospitaldischargestatus" = 'expired' AND "patient"."patienthealthsystemstayid" = "t2"."patienthealthsystemstayid" AND "patient"."uniquepid" = "t2"."uniquepid" | 0.676758 |
CREATE TABLE table_35849 ("Name" CLOB, "Hanzi" CLOB, "Hanyu Pinyin" CLOB, "Population ( 2010-11-01 ) " CLOB, "Area ( km\\u00b2 ) " CLOB, "Density ( /km\\u00b2 ) " CLOB)
| What is the Pinyin for ? | SELECT "Hanyu Pinyin" FROM table_35849 WHERE "Hanzi" = '依兰县' | SELECT "Hanyu Pinyin" FROM "table_35849" WHERE "Hanzi" = '依兰县' | 0.060547 |
CREATE TABLE table_68960 ("Episode" CLOB, "Song choice" CLOB, "Original artist" CLOB, "Order #" CLOB, "Result" CLOB)
| What was the result of the singer with the top 8? | SELECT "Result" FROM table_68960 WHERE "Episode" = 'top 8' | SELECT "Result" FROM "table_68960" WHERE "Episode" = 'top 8' | 0.058594 |
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 diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
| what is average age of patients whose admission type is emergency and year of death is less than 2148? | SELECT AVG(demographic.age) FROM demographic WHERE demographic.admission_type = "EMERGENCY" AND demographic.dod_year < "2148.0" | SELECT AVG("demographic"."age") FROM "demographic" WHERE "2148.0" > "demographic"."dod_year" AND "EMERGENCY" = "demographic"."admission_type" | 0.137695 |
CREATE TABLE table_41117 ("Issue" CLOB, "Date" CLOB, "Title" CLOB, "Story" CLOB, "Color" CLOB)
| What is the title of the story published on October 19, 2011? | SELECT "Story" FROM table_41117 WHERE "Date" = 'october 19, 2011' | SELECT "Story" FROM "table_41117" WHERE "Date" = 'october 19, 2011' | 0.06543 |
CREATE TABLE table_204_772 (id NUMBER, "team" CLOB, "county" CLOB, "wins" NUMBER, "years won" NUMBER)
| what team comes before confey | SELECT "team" FROM table_204_772 WHERE id = (SELECT id FROM table_204_772 WHERE "team" = 'confey') - 1 | SELECT "team" FROM "table_204_772" WHERE "id" = (SELECT "id" FROM "table_204_772" WHERE "team" = 'confey') - 1 | 0.107422 |
CREATE TABLE table_name_89 (record VARCHAR2, date VARCHAR2)
| Name the record on june 22 | SELECT record FROM table_name_89 WHERE date = "june 22" | SELECT "record" FROM "table_name_89" WHERE "date" = "june 22" | 0.05957 |
CREATE TABLE table_name_40 (time VARCHAR2, rider VARCHAR2, grid VARCHAR2, laps VARCHAR2)
| What is the time of Max Biaggi with more than 2 grids, 20 laps? | SELECT time FROM table_name_40 WHERE grid > 2 AND laps = 20 AND rider = "max biaggi" | SELECT "time" FROM "table_name_40" WHERE "grid" > 2 AND "laps" = 20 AND "max biaggi" = "rider" | 0.091797 |
CREATE TABLE diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE admissions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, admittime TIME, dischtime TIME, admission_type CLOB, admission_location CLOB, discharge_location CLOB, insurance CLOB, language CLOB, marital_status CLOB, ethnicity CLOB, age NUMBER)
CREATE TABLE d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE transfers (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, eventtype CLOB, careunit CLOB, wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
CREATE TABLE d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label 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 cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE 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 patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
CREATE TABLE outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
CREATE TABLE labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
| what is the number of times patient 14035 had a d10w intake? | SELECT COUNT(*) FROM inputevents_cv WHERE inputevents_cv.icustay_id IN (SELECT icustays.icustay_id FROM icustays WHERE icustays.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 14035)) AND inputevents_cv.itemid IN (SELECT d_items.itemid FROM d_items WHERE d_items.label = 'd10w' AND d_items.linksto = 'inputevents_cv') | WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 14035 GROUP BY "hadm_id"), "_u_1" AS (SELECT "icustays"."icustay_id" FROM "icustays" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "icustays"."hadm_id" WHERE NOT "_u_0"."" IS NULL GROUP BY "icustay_id"), "_u_2" AS (SELECT "d_items"."itemid" FROM "d_items" WHERE "d_items"."label" = 'd10w' AND "d_items"."linksto" = 'inputevents_cv' GROUP BY "itemid") SELECT COUNT(*) FROM "inputevents_cv" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "inputevents_cv"."icustay_id" LEFT JOIN "_u_2" "_u_2" ON "_u_2"."" = "inputevents_cv"."itemid" WHERE NOT "_u_1"."" IS NULL AND NOT "_u_2"."" IS NULL | 0.651367 |
CREATE TABLE Apartment_Facilities (apt_id NUMBER, facility_code CHAR)
CREATE TABLE Apartment_Buildings (building_id NUMBER, building_short_name CHAR, building_full_name VARCHAR2, building_description VARCHAR2, building_address VARCHAR2, building_manager VARCHAR2, building_phone VARCHAR2)
CREATE TABLE View_Unit_Status (apt_id NUMBER, apt_booking_id NUMBER, status_date DATETIME, available_yn BIT)
CREATE TABLE Guests (guest_id NUMBER, gender_code CHAR, guest_first_name VARCHAR2, guest_last_name VARCHAR2, date_of_birth DATETIME)
CREATE TABLE Apartment_Bookings (apt_booking_id NUMBER, apt_id NUMBER, guest_id NUMBER, booking_status_code CHAR, booking_start_date DATETIME, booking_end_date DATETIME)
CREATE TABLE Apartments (apt_id NUMBER, building_id NUMBER, apt_type_code CHAR, apt_number CHAR, bathroom_count NUMBER, bedroom_count NUMBER, room_count CHAR)
| What are dates of birth of all the guests whose gender is 'Male', and count them by a line chart, list date_of_birth in asc order. | SELECT date_of_birth, COUNT(date_of_birth) FROM Guests WHERE gender_code = "Male" ORDER BY date_of_birth | SELECT "date_of_birth", COUNT("date_of_birth") FROM "Guests" WHERE "Male" = "gender_code" ORDER BY "date_of_birth" | 0.111328 |
CREATE TABLE departments (DEPARTMENT_ID NUMBER, DEPARTMENT_NAME VARCHAR2, MANAGER_ID NUMBER, LOCATION_ID NUMBER)
CREATE TABLE locations (LOCATION_ID NUMBER, STREET_ADDRESS VARCHAR2, POSTAL_CODE VARCHAR2, CITY VARCHAR2, STATE_PROVINCE VARCHAR2, COUNTRY_ID VARCHAR2)
CREATE TABLE 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 jobs (JOB_ID VARCHAR2, JOB_TITLE VARCHAR2, MIN_SALARY NUMBER, MAX_SALARY NUMBER)
CREATE TABLE regions (REGION_ID NUMBER, REGION_NAME VARCHAR2)
CREATE TABLE job_history (EMPLOYEE_ID NUMBER, START_DATE DATE, END_DATE DATE, JOB_ID VARCHAR2, DEPARTMENT_ID NUMBER)
CREATE TABLE countries (COUNTRY_ID VARCHAR2, COUNTRY_NAME VARCHAR2, REGION_ID NUMBER)
| For those employees who do not work in departments with managers that have ids between 100 and 200, draw a line chart about the change of manager_id over hire_date , I want to rank by the X in ascending. | SELECT HIRE_DATE, MANAGER_ID FROM employees WHERE NOT DEPARTMENT_ID IN (SELECT DEPARTMENT_ID FROM departments WHERE MANAGER_ID BETWEEN 100 AND 200) ORDER BY HIRE_DATE | SELECT "HIRE_DATE", "MANAGER_ID" FROM "employees" WHERE NOT "DEPARTMENT_ID" IN (SELECT "DEPARTMENT_ID" FROM "departments" WHERE "MANAGER_ID" <= 200 AND "MANAGER_ID" >= 100) ORDER BY "HIRE_DATE" | 0.188477 |
CREATE TABLE table_31284 ("Film Festival" CLOB, "Date of ceremony" CLOB, "Category" CLOB, "Participants/Recipients" CLOB, "Result" CLOB)
| What was the result when competing in the Opening NIght Film category? | SELECT "Result" FROM table_31284 WHERE "Category" = 'Opening Night Film' | SELECT "Result" FROM "table_31284" WHERE "Category" = 'Opening Night Film' | 0.072266 |
CREATE TABLE table_dev_32 ("id" NUMBER, "post_challenge_capillary_glucose" NUMBER, "gender" CLOB, "blood_donation" BOOLEAN, "untreated_hyperlipidemia" BOOLEAN, "hemoglobin_a1c_hba1c" FLOAT, "hematocrit_hct" FLOAT, "fasting_triglycerides" NUMBER, "fasting_blood_glucose_fbg" FLOAT, "fasting_plasma_glucose" NUMBER, "fasting_ldl_cholesterol" NUMBER, "dietary_modification" BOOLEAN, "baseline_hemoglobin_hgb" FLOAT, "body_mass_index_bmi" FLOAT, "metformin" BOOLEAN, "NOUSE" FLOAT)
| baseline hemoglobin < 10.5 g / dl in female , or < 12.5 g / dl in male . blood donation within 30 days of the study | SELECT * FROM table_dev_32 WHERE (baseline_hemoglobin_hgb < 10.5 AND gender = 'female') OR (baseline_hemoglobin_hgb < 12.5 AND gender = 'male') AND blood_donation = 1 | SELECT * FROM "table_dev_32" WHERE ("baseline_hemoglobin_hgb" < 10.5 OR "gender" = 'male') AND "baseline_hemoglobin_hgb" < 12.5 AND "blood_donation" = 1 AND ("gender" = 'female' OR "gender" = 'male') | 0.194336 |
CREATE TABLE table_6079 ("Image" CLOB, "Father" CLOB, "Birth" CLOB, "Ceased to be Duchess" CLOB, "Death" CLOB, "Husband" CLOB)
| Which duchess was born on 9 october 1574? | SELECT "Ceased to be Duchess" FROM table_6079 WHERE "Birth" = '9 october 1574' | SELECT "Ceased to be Duchess" FROM "table_6079" WHERE "Birth" = '9 october 1574' | 0.078125 |
CREATE TABLE table_name_71 (enrollment NUMBER, location VARCHAR2)
| What's the most enrollment in Hamilton? | SELECT MAX(enrollment) FROM table_name_71 WHERE location = "hamilton" | SELECT MAX("enrollment") FROM "table_name_71" WHERE "hamilton" = "location" | 0.073242 |
CREATE TABLE table_3272 ("Form ( to sing ) " CLOB, "Latin" CLOB, "Nuorese Sardinian" CLOB, "Spanish" CLOB, "Brazilian Portuguese" CLOB, "Central Catalan" CLOB, "Romanian" CLOB, "French" CLOB)
| What is the form ('to sing') when brazilian portuguese is [k t mus]? | SELECT "Form (to sing)" FROM table_3272 WHERE "Brazilian Portuguese" = '[kɐ̃ˈtẽmus]' | SELECT "Form (to sing)" FROM "table_3272" WHERE "Brazilian Portuguese" = '[kɐ̃ˈtẽmus]' | 0.083984 |
CREATE TABLE table_46342 ("Title" CLOB, "Release date" CLOB, "Format" CLOB, "Code" CLOB, "UK Singles Chart" CLOB, "US Modern Rock" CLOB, "Album" CLOB)
| What is the format of code 9 40231-2 (us only)? | SELECT "Format" FROM table_46342 WHERE "Code" = '9 40231-2 (us only)' | SELECT "Format" FROM "table_46342" WHERE "Code" = '9 40231-2 (us only)' | 0.069336 |
CREATE TABLE train_station (Train_ID NUMBER, Station_ID NUMBER)
CREATE TABLE train (Train_ID NUMBER, Name CLOB, Time CLOB, Service CLOB)
CREATE TABLE station (Station_ID NUMBER, Name CLOB, Annual_entry_exit FLOAT, Annual_interchanges FLOAT, Total_Passengers FLOAT, Location CLOB, Main_Services CLOB, Number_of_Platforms NUMBER)
| How many locations? Draw a bar chart, and list by the X-axis in ascending. | SELECT Location, COUNT(Location) FROM station GROUP BY Location ORDER BY Location | SELECT "Location", COUNT("Location") FROM "station" GROUP BY "Location" ORDER BY "Location" | 0.088867 |
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 ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
CREATE TABLE Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount NUMBER)
CREATE TABLE PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId 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 PostHistoryTypes (Id NUMBER, Name CLOB)
CREATE TABLE ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment CLOB)
CREATE TABLE Users (Id NUMBER, Reputation NUMBER, CreationDate TIME, DisplayName CLOB, LastAccessDate TIME, WebsiteUrl CLOB, Location CLOB, AboutMe CLOB, Views NUMBER, UpVotes NUMBER, DownVotes NUMBER, ProfileImageUrl CLOB, EmailHash CLOB, AccountId NUMBER)
CREATE TABLE PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
CREATE TABLE CloseReasonTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Comments (Id NUMBER, PostId NUMBER, Score NUMBER, Text CLOB, CreationDate TIME, UserDisplayName CLOB, UserId NUMBER, ContentLicense CLOB)
CREATE TABLE 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 ReviewTaskResultTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
CREATE TABLE VoteTypes (Id NUMBER, Name CLOB)
CREATE TABLE Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
CREATE TABLE PostTags (PostId NUMBER, TagId NUMBER)
CREATE TABLE TagSynonyms (Id NUMBER, SourceTagName CLOB, TargetTagName CLOB, CreationDate TIME, OwnerUserId NUMBER, AutoRenameCount NUMBER, LastAutoRename TIME, Score NUMBER, ApprovedByUserId NUMBER, ApprovalDate TIME)
CREATE TABLE PostTypes (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 ReviewTaskStates (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE ReviewTaskTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE FlagTypes (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 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 SuggestedEditVotes (Id NUMBER, SuggestedEditId NUMBER, UserId NUMBER, VoteTypeId NUMBER, CreationDate TIME, TargetUserId NUMBER, TargetRepChange NUMBER)
CREATE TABLE ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId NUMBER)
CREATE TABLE Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
| Upvotes per Question/Answer for postgresql tag. | SELECT DATEADD(month, DATEDIFF(month, 0, CreationDate), 0) AS StartOfMonth, COUNT(DISTINCT Posts.Id) AS Questions, COUNT(*) AS UpVotes, ROUND(COUNT(*) / CAST(COUNT(DISTINCT Posts.Id) AS DECIMAL), 2) AS UpVotesPerQuestion, ROUND(SUM(CASE WHEN Votes.PostId IS NULL THEN 1 ELSE 0 END) / CAST(COUNT(DISTINCT Posts.Id) AS DECIMAL), 2) AS PostsWithoutVotes FROM Tags JOIN PostTags ON PostTags.TagId = Tags.Id JOIN Posts ON Posts.ParentId = PostTags.PostId LEFT JOIN Votes ON Votes.PostId = Posts.Id AND VoteTypeId = 2 WHERE TagName = 'postgresql' GROUP BY DATEADD(month, DATEDIFF(month, 0, CreationDate), 0) ORDER BY DATEADD(month, DATEDIFF(month, 0, CreationDate), 0) | SELECT DATEADD("month", DATEDIFF(CAST("month" AS DATETIME), CAST(0 AS DATETIME), CREATIONDATE), 0) AS "StartOfMonth", COUNT(DISTINCT "Posts"."Id") AS "Questions", COUNT(*) AS "UpVotes", ROUND(COUNT(*) / NULLIF(CAST(COUNT(DISTINCT "Posts"."Id") AS NUMBER), 0), 2) AS "UpVotesPerQuestion", ROUND(SUM(CASE WHEN "Votes"."PostId" IS NULL THEN 1 ELSE 0 END) / NULLIF(CAST(COUNT(DISTINCT "Posts"."Id") AS NUMBER), 0), 2) AS "PostsWithoutVotes" FROM "Tags" JOIN "PostTags" ON "PostTags"."TagId" = "Tags"."Id" JOIN "Posts" ON "PostTags"."PostId" = "Posts"."ParentId" LEFT JOIN "Votes" ON "Posts"."Id" = "Votes"."PostId" AND "VoteTypeId" = 2 WHERE "TagName" = 'postgresql' GROUP BY DATEADD("month", DATEDIFF(CAST("month" AS DATETIME), CAST(0 AS DATETIME), CREATIONDATE), 0) ORDER BY DATEADD("month", DATEDIFF(CAST("month" AS DATETIME), CAST(0 AS DATETIME), CREATIONDATE), 0) | 0.84375 |
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
| count the number of patients whose gender is m and ethnicity is white - russian? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.gender = "M" AND demographic.ethnicity = "WHITE - RUSSIAN" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "M" = "demographic"."gender" AND "WHITE - RUSSIAN" = "demographic"."ethnicity" | 0.149414 |
CREATE TABLE table_16441561_5 (player VARCHAR2, position VARCHAR2)
| Which player played DB | SELECT player FROM table_16441561_5 WHERE position = "DB" | SELECT "player" FROM "table_16441561_5" WHERE "DB" = "position" | 0.061523 |
CREATE TABLE table_56364 ("Class" CLOB, "Ships in class" CLOB, "Pennant Number" FLOAT, "Unit" CLOB, "Builder" CLOB, "Commissioned" CLOB)
| What is the highest pennant number with ships in pori class? | SELECT MAX("Pennant Number") FROM table_56364 WHERE "Ships in class" = 'pori' | SELECT MAX("Pennant Number") FROM "table_56364" WHERE "Ships in class" = 'pori' | 0.077148 |
CREATE TABLE table_name_33 (reverse VARCHAR2, color VARCHAR2)
| What reverse has a color of green? | SELECT reverse FROM table_name_33 WHERE color = "green" | SELECT "reverse" FROM "table_name_33" WHERE "color" = "green" | 0.05957 |
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