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CREATE TABLE table_name_29 (home VARCHAR2, visitor VARCHAR2)
| Name the home with toronto visiting | SELECT home FROM table_name_29 WHERE visitor = "toronto" | SELECT "home" FROM "table_name_29" WHERE "toronto" = "visitor" | 0.060547 |
CREATE TABLE table_name_9 (points NUMBER, club VARCHAR2, goal_difference VARCHAR2)
| Which Points have a Club of cf calvo sotelo, and a Goal Difference larger than -3? | SELECT MAX(points) FROM table_name_9 WHERE club = "cf calvo sotelo" AND goal_difference > -3 | SELECT MAX("points") FROM "table_name_9" WHERE "cf calvo sotelo" = "club" AND "goal_difference" > -3 | 0.097656 |
CREATE TABLE table_204_373 (id NUMBER, "wager" CLOB, "winner" CLOB, "loser" CLOB, "location" CLOB, "date" CLOB)
| number of mocho cota matches held in mexico city in 1983 or 1984 | SELECT COUNT(*) FROM table_204_373 WHERE "location" = 'mexico city' AND "date" IN (1983, 1984) | SELECT COUNT(*) FROM "table_204_373" WHERE "date" IN (1983, 1984) AND "location" = 'mexico city' | 0.09375 |
CREATE TABLE table_67703 ("Outcome" CLOB, "Date" CLOB, "Surface" CLOB, "Opponent in the final" CLOB, "Score in the final" CLOB)
| What was the surface on 23 October 2011? | SELECT "Surface" FROM table_67703 WHERE "Date" = '23 october 2011' | SELECT "Surface" FROM "table_67703" WHERE "Date" = '23 october 2011' | 0.066406 |
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 ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment 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 PendingFlags (Id NUMBER, FlagTypeId NUMBER, PostId NUMBER, CreationDate TIME, CloseReasonTypeId NUMBER, CloseAsOffTopicReasonTypeId NUMBER, DuplicateOfQuestionId NUMBER, BelongsOnBaseHostAddress CLOB)
CREATE TABLE ReviewTaskTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostHistoryTypes (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 PostTypes (Id NUMBER, Name CLOB)
CREATE TABLE Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
CREATE TABLE PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
CREATE TABLE ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId NUMBER)
CREATE TABLE PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
CREATE TABLE PostHistory (Id NUMBER, PostHistoryTypeId NUMBER, PostId NUMBER, RevisionGUID other, CreationDate TIME, UserId NUMBER, UserDisplayName CLOB, Comment CLOB, Text CLOB, ContentLicense CLOB)
CREATE TABLE FlagTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE VoteTypes (Id NUMBER, Name CLOB)
CREATE TABLE CloseReasonTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId NUMBER)
CREATE TABLE ReviewTaskStates (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Posts (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE PostTags (PostId NUMBER, TagId NUMBER)
CREATE TABLE 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 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 PostsWithDeleted (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE SuggestedEditVotes (Id NUMBER, SuggestedEditId NUMBER, UserId NUMBER, VoteTypeId NUMBER, CreationDate TIME, TargetUserId NUMBER, TargetRepChange NUMBER)
CREATE TABLE 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 Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
| Closed Questions By GTE ViewCount. | SELECT COUNT(*) AS TotalCount FROM Posts WHERE NOT ClosedDate IS NULL AND PostTypeId = 1 AND CreationDate >= '##startdate:string##' AND ViewCount >= '##viewcount:int##' | SELECT COUNT(*) AS "TotalCount" FROM "Posts" WHERE "CreationDate" >= '##startdate:string##' AND "PostTypeId" = 1 AND "ViewCount" >= '##viewcount:int##' AND NOT "ClosedDate" IS NULL | 0.175781 |
CREATE TABLE table_52624 ("Home team" CLOB, "Home team score" CLOB, "Away team" CLOB, "Away team score" CLOB, "Venue" CLOB, "Crowd" FLOAT, "Date" CLOB)
| How many people watched when st kilda played at home? | SELECT "Crowd" FROM table_52624 WHERE "Home team" = 'st kilda' | SELECT "Crowd" FROM "table_52624" WHERE "Home team" = 'st kilda' | 0.0625 |
CREATE TABLE department (dept_code VARCHAR2, dept_name VARCHAR2)
CREATE TABLE CLASS (prof_num VARCHAR2)
CREATE TABLE professor (prof_high_degree VARCHAR2, emp_num VARCHAR2, dept_code VARCHAR2)
CREATE TABLE employee (emp_fname VARCHAR2, emp_num VARCHAR2)
| Find the first names and degree of all professors who are teaching some class in Computer Info. Systems department. | SELECT DISTINCT T2.emp_fname, T3.prof_high_degree FROM CLASS AS T1 JOIN employee AS T2 ON T1.prof_num = T2.emp_num JOIN professor AS T3 ON T2.emp_num = T3.emp_num JOIN department AS T4 ON T4.dept_code = T3.dept_code WHERE T4.dept_name = 'Computer Info. Systems' | SELECT DISTINCT "T2"."emp_fname", "T3"."prof_high_degree" FROM "CLASS" "T1" JOIN "employee" "T2" ON "T1"."prof_num" = "T2"."emp_num" JOIN "professor" "T3" ON "T2"."emp_num" = "T3"."emp_num" JOIN "department" "T4" ON "T3"."dept_code" = "T4"."dept_code" AND "T4"."dept_name" = 'Computer Info. Systems' | 0.291992 |
CREATE TABLE table_name_8 (date VARCHAR2, opponent_in_the_final VARCHAR2)
| Tell me the date for johanna konta | SELECT date FROM table_name_8 WHERE opponent_in_the_final = "johanna konta" | SELECT "date" FROM "table_name_8" WHERE "johanna konta" = "opponent_in_the_final" | 0.079102 |
CREATE TABLE table_203_497 (id NUMBER, "rank" NUMBER, "nation" CLOB, "gold" NUMBER, "silver" NUMBER, "bronze" NUMBER, "total" NUMBER)
| what are the total number of bronze medals sri lanka have earned ? | SELECT "bronze" FROM table_203_497 WHERE "nation" = 'sri lanka' | SELECT "bronze" FROM "table_203_497" WHERE "nation" = 'sri lanka' | 0.063477 |
CREATE TABLE table_name_70 (tournament VARCHAR2)
| What is the 2011 Australian Open and a 2010 QF? | SELECT 2011 FROM table_name_70 WHERE tournament = "australian open" AND 2010 = "qf" | SELECT 2011 FROM "table_name_70" WHERE "australian open" = "tournament" AND "qf" = 2010 | 0.084961 |
CREATE TABLE stock (shop_id NUMBER, device_id NUMBER, quantity NUMBER)
CREATE TABLE device (device_id NUMBER, device CLOB, carrier CLOB, package_version CLOB, applications CLOB, software_platform CLOB)
CREATE TABLE shop (shop_id NUMBER, shop_name CLOB, location CLOB, open_date CLOB, open_year NUMBER)
| List the name of the shop with the latest open year. | SELECT shop_name FROM shop ORDER BY open_year DESC LIMIT 1 | SELECT "shop_name" FROM "shop" ORDER BY "open_year" DESC FETCH FIRST 1 ROWS ONLY | 0.078125 |
CREATE TABLE table_24974 ("#" CLOB, "Spacecraft" CLOB, "Spacewalkers" CLOB, "Start ( UTC ) " CLOB, "End ( UTC ) " CLOB, "Duration" CLOB)
| What are the names of the spacewalkers for end (UTC) October 30, 2007 15:53? | SELECT "Spacewalkers" FROM table_24974 WHERE "End (UTC)" = 'October 30, 2007 15:53' | SELECT "Spacewalkers" FROM "table_24974" WHERE "End (UTC)" = 'October 30, 2007 15:53' | 0.083008 |
CREATE TABLE table_65768 ("Nat." CLOB, "Name" CLOB, "Since" CLOB, "Goals" FLOAT, "Ends" FLOAT)
| What is the highest goal for a GEO nat., that ended after 2010? | SELECT MAX("Goals") FROM table_65768 WHERE "Nat." = 'geo' AND "Ends" > '2010' | SELECT MAX("Goals") FROM "table_65768" WHERE "Ends" > '2010' AND "Nat." = 'geo' | 0.077148 |
CREATE TABLE table_73999 ("District" CLOB, "Incumbent" CLOB, "Party" CLOB, "First elected" CLOB, "Result" CLOB, "Candidates" CLOB)
| Name the result for willis alston | SELECT "Result" FROM table_73999 WHERE "Incumbent" = 'Willis Alston' | SELECT "Result" FROM "table_73999" WHERE "Incumbent" = 'Willis Alston' | 0.068359 |
CREATE TABLE table_name_97 (bronze NUMBER, gold VARCHAR2, silver VARCHAR2, rank VARCHAR2)
| How many bronze medals did the nation have that had less than 3 silver, 5 gold and ranked better than 31? | SELECT SUM(bronze) FROM table_name_97 WHERE silver < 3 AND rank < 31 AND gold = 5 | SELECT SUM("bronze") FROM "table_name_97" WHERE "gold" = 5 AND "rank" < 31 AND "silver" < 3 | 0.088867 |
CREATE TABLE table_name_82 (venue VARCHAR2, against NUMBER)
| Which Venue has Against smaller than 6? | SELECT venue FROM table_name_82 WHERE against < 6 | SELECT "venue" FROM "table_name_82" WHERE "against" < 6 | 0.053711 |
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 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 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 treatment (treatmentid NUMBER, patientunitstayid NUMBER, treatmentname CLOB, treatmenttime TIME)
CREATE TABLE patient (uniquepid CLOB, patienthealthsystemstayid NUMBER, patientunitstayid NUMBER, gender CLOB, age CLOB, ethnicity CLOB, hospitalid NUMBER, wardid NUMBER, admissionheight NUMBER, admissionweight NUMBER, dischargeweight NUMBER, hospitaladmittime TIME, hospitaladmitsource CLOB, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus CLOB)
CREATE TABLE cost (costid NUMBER, uniquepid CLOB, patienthealthsystemstayid NUMBER, eventtype CLOB, eventid NUMBER, chargetime TIME, cost NUMBER)
| has a microbiological test been carried out in 12/2105 for patient 025-44495? | SELECT COUNT(*) > 0 FROM microlab WHERE microlab.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '025-44495')) AND STRFTIME('%y-%m', microlab.culturetakentime) = '2105-12' | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '025-44495' 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 "microlab" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "microlab"."patientunitstayid" WHERE NOT "_u_1"."" IS NULL AND STRFTIME('%y-%m', "microlab"."culturetakentime") = '2105-12' | 0.540039 |
CREATE TABLE d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto 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_labitems (row_id NUMBER, itemid NUMBER, label 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 diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE icustays (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, first_careunit CLOB, last_careunit CLOB, first_wardid NUMBER, last_wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
CREATE TABLE outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
CREATE TABLE labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
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 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)
| what is the four year survival rate of a person with mitral valve disorder? | SELECT SUM(CASE WHEN patients.dod IS NULL THEN 1 WHEN STRFTIME('%j', patients.dod) - STRFTIME('%j', t2.charttime) > 4 * 365 THEN 1 ELSE 0 END) * 100 / COUNT(*) FROM (SELECT t1.subject_id, t1.charttime FROM (SELECT admissions.subject_id, diagnoses_icd.charttime FROM diagnoses_icd JOIN admissions ON diagnoses_icd.hadm_id = admissions.hadm_id WHERE diagnoses_icd.icd9_code = (SELECT d_icd_diagnoses.icd9_code FROM d_icd_diagnoses WHERE d_icd_diagnoses.short_title = 'mitral valve disorder') GROUP BY admissions.subject_id HAVING MIN(diagnoses_icd.charttime) = diagnoses_icd.charttime) AS t1 WHERE STRFTIME('%j', CURRENT_TIME()) - STRFTIME('%j', t1.charttime) > 4 * 365) AS t2 JOIN patients ON t2.subject_id = patients.subject_id | WITH "t1" AS (SELECT "admissions"."subject_id", "diagnoses_icd"."charttime" FROM "diagnoses_icd" JOIN "d_icd_diagnoses" ON "d_icd_diagnoses"."icd9_code" = "diagnoses_icd"."icd9_code" AND "d_icd_diagnoses"."short_title" = 'mitral valve disorder' JOIN "admissions" ON "admissions"."hadm_id" = "diagnoses_icd"."hadm_id" GROUP BY "admissions"."subject_id" HAVING "diagnoses_icd"."charttime" = MIN("diagnoses_icd"."charttime")) SELECT SUM(CASE WHEN "patients"."dod" IS NULL THEN 1 WHEN STRFTIME('%j', "patients"."dod") - STRFTIME('%j', "t1"."charttime") > 1460 THEN 1 ELSE 0 END) * 100 / NULLIF(COUNT(*), 0) FROM "t1" "t1" JOIN "patients" ON "patients"."subject_id" = "t1"."subject_id" WHERE STRFTIME('%j', CURRENT_TIME()) - STRFTIME('%j', "t1"."charttime") > 1460 | 0.741211 |
CREATE TABLE track (trackid NUMBER, name CLOB, albumid NUMBER, mediatypeid NUMBER, genreid NUMBER, composer CLOB, milliseconds NUMBER, bytes NUMBER, unitprice NUMBER)
CREATE TABLE album (albumid NUMBER, title CLOB, artistid NUMBER)
CREATE TABLE customer (customerid NUMBER, firstname CLOB, lastname CLOB, company CLOB, address CLOB, city CLOB, state CLOB, country CLOB, postalcode CLOB, phone CLOB, fax CLOB, email CLOB, supportrepid NUMBER)
CREATE TABLE mediatype (mediatypeid NUMBER, name CLOB)
CREATE TABLE playlist (playlistid NUMBER, name CLOB)
CREATE TABLE artist (artistid NUMBER, name CLOB)
CREATE TABLE invoice (invoiceid NUMBER, customerid NUMBER, invoicedate TIME, billingaddress CLOB, billingcity CLOB, billingstate CLOB, billingcountry CLOB, billingpostalcode CLOB, total NUMBER)
CREATE TABLE employee (employeeid NUMBER, lastname CLOB, firstname CLOB, title CLOB, reportsto NUMBER, birthdate TIME, hiredate TIME, address CLOB, city CLOB, state CLOB, country CLOB, postalcode CLOB, phone CLOB, fax CLOB, email CLOB)
CREATE TABLE invoiceline (invoicelineid NUMBER, invoiceid NUMBER, trackid NUMBER, unitprice NUMBER, quantity NUMBER)
CREATE TABLE playlisttrack (playlistid NUMBER, trackid NUMBER)
CREATE TABLE genre (genreid NUMBER, name CLOB)
| What are the names of artists who have not released any albums? | SELECT name FROM artist EXCEPT SELECT T2.name FROM album AS T1 JOIN artist AS T2 ON T1.artistid = T2.artistid | SELECT "name" FROM "artist" EXCEPT SELECT "T2"."name" FROM "album" "T1" JOIN "artist" "T2" ON "T1"."artistid" = "T2"."artistid" | 0.124023 |
CREATE TABLE table_22319599_1 (location VARCHAR2, varsity_teams VARCHAR2)
| If the varsity team is 6, what is the location? | SELECT location FROM table_22319599_1 WHERE varsity_teams = 6 | SELECT "location" FROM "table_22319599_1" WHERE "varsity_teams" = 6 | 0.06543 |
CREATE TABLE cost (costid NUMBER, uniquepid CLOB, patienthealthsystemstayid NUMBER, eventtype CLOB, eventid NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE intakeoutput (intakeoutputid NUMBER, patientunitstayid NUMBER, cellpath CLOB, celllabel CLOB, cellvaluenumeric NUMBER, intakeoutputtime TIME)
CREATE TABLE patient (uniquepid CLOB, patienthealthsystemstayid NUMBER, patientunitstayid NUMBER, gender CLOB, age CLOB, ethnicity CLOB, hospitalid NUMBER, wardid NUMBER, admissionheight NUMBER, admissionweight NUMBER, dischargeweight NUMBER, hospitaladmittime TIME, hospitaladmitsource CLOB, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus CLOB)
CREATE TABLE medication (medicationid NUMBER, patientunitstayid NUMBER, drugname CLOB, dosage CLOB, routeadmin CLOB, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE vitalperiodic (vitalperiodicid NUMBER, patientunitstayid NUMBER, temperature NUMBER, sao2 NUMBER, heartrate NUMBER, respiration NUMBER, systemicsystolic NUMBER, systemicdiastolic NUMBER, systemicmean NUMBER, observationtime TIME)
CREATE TABLE diagnosis (diagnosisid NUMBER, patientunitstayid NUMBER, diagnosisname CLOB, diagnosistime TIME, icd9code CLOB)
CREATE TABLE treatment (treatmentid NUMBER, patientunitstayid NUMBER, treatmentname CLOB, treatmenttime TIME)
CREATE TABLE allergy (allergyid NUMBER, patientunitstayid NUMBER, drugname CLOB, allergyname CLOB, allergytime TIME)
CREATE TABLE lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime TIME)
CREATE TABLE microlab (microlabid NUMBER, patientunitstayid NUMBER, culturesite CLOB, organism CLOB, culturetakentime TIME)
| is the value of bedside glucose of patient 006-167444 measured at 2100-02-25 11:03:00 less than the value measured at 2100-02-25 10:50:00. | SELECT (SELECT lab.labresult FROM lab WHERE lab.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '006-167444')) AND lab.labname = 'bedside glucose' AND lab.labresulttime = '2100-02-25 11:03:00') < (SELECT lab.labresult FROM lab WHERE lab.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '006-167444')) AND lab.labname = 'bedside glucose' AND lab.labresulttime = '2100-02-25 10:50:00') | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '006-167444' 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"), "_u_4" AS (SELECT "patient"."patientunitstayid" FROM "patient" LEFT JOIN "_u_0" "_u_3" ON "_u_3"."" = "patient"."patienthealthsystemstayid" WHERE NOT "_u_3"."" IS NULL GROUP BY "patientunitstayid") SELECT (SELECT "lab"."labresult" FROM "lab" LEFT JOIN "_u_4" "_u_4" ON "_u_4"."" = "lab"."patientunitstayid" WHERE "lab"."labname" = 'bedside glucose' AND "lab"."labresulttime" = '2100-02-25 10:50:00' AND NOT "_u_4"."" IS NULL) > (SELECT "lab"."labresult" FROM "lab" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "lab"."patientunitstayid" WHERE "lab"."labname" = 'bedside glucose' AND "lab"."labresulttime" = '2100-02-25 11:03:00' AND NOT "_u_1"."" IS NULL) | 0.981445 |
CREATE TABLE table_7469 ("Year" FLOAT, "Entrant" CLOB, "Chassis" CLOB, "Engine" CLOB, "Points" FLOAT)
| Which entrant has a Dallara F398 chassis? | SELECT "Entrant" FROM table_7469 WHERE "Chassis" = 'dallara f398' | SELECT "Entrant" FROM "table_7469" WHERE "Chassis" = 'dallara f398' | 0.06543 |
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 procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
| give me the number of patients whose admission type is newborn and discharge location is long term care hospital? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.admission_type = "NEWBORN" AND demographic.discharge_location = "LONG TERM CARE HOSPITAL" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "LONG TERM CARE HOSPITAL" = "demographic"."discharge_location" AND "NEWBORN" = "demographic"."admission_type" | 0.179688 |
CREATE TABLE table_name_7 (to_par VARCHAR2, place VARCHAR2, country VARCHAR2)
| What was Australia's to par when the place was t9? | SELECT to_par FROM table_name_7 WHERE place = "t9" AND country = "australia" | SELECT "to_par" FROM "table_name_7" WHERE "australia" = "country" AND "place" = "t9" | 0.082031 |
CREATE TABLE table_13336122_7 (no_in_season NUMBER, us_viewers__million_ VARCHAR2)
| What's the season number of the episode watched by 0.57 million US viewers? | SELECT MAX(no_in_season) FROM table_13336122_7 WHERE us_viewers__million_ = "0.57" | SELECT MAX("no_in_season") FROM "table_13336122_7" WHERE "0.57" = "us_viewers__million_" | 0.085938 |
CREATE TABLE table_26261072_1 (series__number NUMBER, written_by VARCHAR2, directed_by VARCHAR2)
| Name the least series number written by brenda hampton and directed by burt brinckerhoff | SELECT MIN(series__number) FROM table_26261072_1 WHERE written_by = "Brenda Hampton" AND directed_by = "Burt Brinckerhoff" | SELECT MIN("series__number") FROM "table_26261072_1" WHERE "Brenda Hampton" = "written_by" AND "Burt Brinckerhoff" = "directed_by" | 0.126953 |
CREATE TABLE table_38726 ("Outcome" CLOB, "Date" CLOB, "Tournament" CLOB, "Surface" CLOB, "Partner" CLOB, "Opponents in Final" CLOB, "Score in Final" CLOB)
| What is the final score of the runner-up on 9 February 1992? | SELECT "Score in Final" FROM table_38726 WHERE "Outcome" = 'runner-up' AND "Date" = '9 february 1992' | SELECT "Score in Final" FROM "table_38726" WHERE "Date" = '9 february 1992' AND "Outcome" = 'runner-up' | 0.100586 |
CREATE TABLE table_name_1 (valency_change VARCHAR2, type VARCHAR2)
| WHat is the Valency change of associative type? | SELECT valency_change FROM table_name_1 WHERE type = "associative" | SELECT "valency_change" FROM "table_name_1" WHERE "associative" = "type" | 0.070313 |
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 diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
| what is admission type and diagnoses icd9 code of subject id 62296? | SELECT demographic.admission_type, diagnoses.icd9_code FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.subject_id = "62296" | SELECT "demographic"."admission_type", "diagnoses"."icd9_code" FROM "demographic" JOIN "diagnoses" ON "demographic"."hadm_id" = "diagnoses"."hadm_id" WHERE "62296" = "demographic"."subject_id" | 0.1875 |
CREATE TABLE table_53164 ("Title" CLOB, "Composer ( s ) " CLOB, "Guest performer" CLOB, "Producer ( s ) " CLOB, "Time" CLOB)
| Which guest performer has a track length of 5:49? | SELECT "Guest performer" FROM table_53164 WHERE "Time" = '5:49' | SELECT "Guest performer" FROM "table_53164" WHERE "Time" = '5:49' | 0.063477 |
CREATE TABLE table_name_69 (date VARCHAR2, outcome VARCHAR2, score VARCHAR2)
| Which Date has an Outcome of winner, and a Score of 7 5, 6 4? | SELECT date FROM table_name_69 WHERE outcome = "winner" AND score = "7–5, 6–4" | SELECT "date" FROM "table_name_69" WHERE "7–5, 6–4" = "score" AND "outcome" = "winner" | 0.083984 |
CREATE TABLE table_name_11 (type VARCHAR2, e_coli VARCHAR2)
| What is the type of glycosylase that has an E. coli of Muty? | SELECT type FROM table_name_11 WHERE e_coli = "muty" | SELECT "type" FROM "table_name_11" WHERE "e_coli" = "muty" | 0.056641 |
CREATE TABLE trip (id NUMBER, duration NUMBER, start_date CLOB, start_station_name CLOB, start_station_id NUMBER, end_date CLOB, end_station_name CLOB, end_station_id NUMBER, bike_id NUMBER, subscription_type CLOB, zip_code NUMBER)
CREATE TABLE weather (date CLOB, max_temperature_f NUMBER, mean_temperature_f NUMBER, min_temperature_f NUMBER, max_dew_point_f NUMBER, mean_dew_point_f NUMBER, min_dew_point_f NUMBER, max_humidity NUMBER, mean_humidity NUMBER, min_humidity NUMBER, max_sea_level_pressure_inches NUMBER, mean_sea_level_pressure_inches NUMBER, min_sea_level_pressure_inches NUMBER, max_visibility_miles NUMBER, mean_visibility_miles NUMBER, min_visibility_miles NUMBER, max_wind_speed_mph NUMBER, mean_wind_speed_mph NUMBER, max_gust_speed_mph NUMBER, precipitation_inches NUMBER, cloud_cover NUMBER, events CLOB, wind_dir_degrees NUMBER, zip_code NUMBER)
CREATE TABLE station (id NUMBER, name CLOB, lat NUMBER, long NUMBER, dock_count NUMBER, city CLOB, installation_date CLOB)
CREATE TABLE status (station_id NUMBER, bikes_available NUMBER, docks_available NUMBER, time CLOB)
| List the name and the number of stations for all the cities that have at least 15 stations. | SELECT city, COUNT(*) FROM station GROUP BY city HAVING COUNT(*) >= 15 | SELECT "city", COUNT(*) FROM "station" GROUP BY "city" HAVING COUNT(*) >= 15 | 0.074219 |
CREATE TABLE table_name_66 (position VARCHAR2, debut VARCHAR2)
| What position had a debut in round 6? | SELECT position FROM table_name_66 WHERE debut = "round 6" | SELECT "position" FROM "table_name_66" WHERE "debut" = "round 6" | 0.0625 |
CREATE TABLE results (resultId NUMBER, raceId NUMBER, driverId NUMBER, constructorId NUMBER, number NUMBER, grid NUMBER, position CLOB, positionText CLOB, positionOrder NUMBER, points FLOAT, laps CLOB, time CLOB, milliseconds CLOB, fastestLap CLOB, rank CLOB, fastestLapTime CLOB, fastestLapSpeed CLOB, statusId NUMBER)
CREATE TABLE pitStops (raceId NUMBER, driverId NUMBER, stop NUMBER, lap NUMBER, time CLOB, duration CLOB, milliseconds NUMBER)
CREATE TABLE drivers (driverId NUMBER, driverRef CLOB, number CLOB, code CLOB, forename CLOB, surname CLOB, dob CLOB, nationality CLOB, url CLOB)
CREATE TABLE circuits (circuitId NUMBER, circuitRef CLOB, name CLOB, location CLOB, country CLOB, lat FLOAT, lng FLOAT, alt CLOB, url CLOB)
CREATE TABLE constructorStandings (constructorStandingsId NUMBER, raceId NUMBER, constructorId NUMBER, points FLOAT, position NUMBER, positionText CLOB, wins NUMBER)
CREATE TABLE qualifying (qualifyId NUMBER, raceId NUMBER, driverId NUMBER, constructorId NUMBER, number NUMBER, position NUMBER, q1 CLOB, q2 CLOB, q3 CLOB)
CREATE TABLE driverStandings (driverStandingsId NUMBER, raceId NUMBER, driverId NUMBER, points FLOAT, position NUMBER, positionText CLOB, wins NUMBER)
CREATE TABLE constructorResults (constructorResultsId NUMBER, raceId NUMBER, constructorId NUMBER, points FLOAT, status CLOB)
CREATE TABLE constructors (constructorId NUMBER, constructorRef CLOB, name CLOB, nationality CLOB, url CLOB)
CREATE TABLE seasons (year NUMBER, url CLOB)
CREATE TABLE lapTimes (raceId NUMBER, driverId NUMBER, lap NUMBER, position NUMBER, time CLOB, milliseconds NUMBER)
CREATE TABLE status (statusId NUMBER, status CLOB)
CREATE TABLE races (raceId NUMBER, year NUMBER, round NUMBER, circuitId NUMBER, name CLOB, date CLOB, time CLOB, url CLOB)
| Show me the correlation about what are the numbers of races for each constructor id? | SELECT COUNT(*), constructorId FROM constructorStandings GROUP BY constructorId | SELECT COUNT(*), "constructorId" FROM "constructorStandings" GROUP BY "constructorId" | 0.083008 |
CREATE TABLE table_13370 ("Rank" CLOB, "Nation" CLOB, "Gold" FLOAT, "Silver" FLOAT, "Bronze" FLOAT, "Total" FLOAT)
| What is the total number of totals for nations with 1 silver and more than 1 bronze? | SELECT COUNT("Total") FROM table_13370 WHERE "Bronze" > '1' AND "Silver" = '1' | SELECT COUNT("Total") FROM "table_13370" WHERE "Bronze" > '1' AND "Silver" = '1' | 0.078125 |
CREATE TABLE table_name_88 (democrat VARCHAR2, lead_margin VARCHAR2)
| What is Democrat: Carl Levin, when Lead Margin is 22? | SELECT democrat AS :_carl_levin FROM table_name_88 WHERE lead_margin = 22 | SELECT "democrat" AS :_carl_levin FROM "table_name_88" WHERE "lead_margin" = 22 | 0.077148 |
CREATE TABLE table_name_66 (interview NUMBER, country VARCHAR2, swimsuit VARCHAR2)
| What is the lowest interview score for Missouri, where the swimsuit score was highter than 9.433? | SELECT MIN(interview) FROM table_name_66 WHERE country = "missouri" AND swimsuit > 9.433 | SELECT MIN("interview") FROM "table_name_66" WHERE "country" = "missouri" AND "swimsuit" > 9.433 | 0.09375 |
CREATE TABLE table_40423 ("Season" CLOB, "Conference" CLOB, "Division" CLOB, "Finish" CLOB, "Wins" CLOB, "Losses" CLOB)
| What is the Finish for the 1950 51? season? | SELECT "Finish" FROM table_40423 WHERE "Season" = '1950–51' | SELECT "Finish" FROM "table_40423" WHERE "Season" = '1950–51' | 0.05957 |
CREATE TABLE candidate (Candidate_ID NUMBER, People_ID NUMBER, Poll_Source CLOB, Date CLOB, Support_rate FLOAT, Consider_rate FLOAT, Oppose_rate FLOAT, Unsure_rate FLOAT)
CREATE TABLE people (People_ID NUMBER, Sex CLOB, Name CLOB, Date_of_Birth CLOB, Height FLOAT, Weight FLOAT)
| What is the relationship between People_ID and Height , and group by attribute Sex? | SELECT People_ID, Height FROM people GROUP BY Sex | SELECT "People_ID", "Height" FROM "people" GROUP BY "Sex" | 0.055664 |
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 procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
| count the number of patients whose diagnoses short title is hx of bladder malignancy and drug type is additive? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE diagnoses.short_title = "Hx of bladder malignancy" AND prescriptions.drug_type = "ADDITIVE" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "Hx of bladder malignancy" = "diagnoses"."short_title" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" JOIN "prescriptions" ON "ADDITIVE" = "prescriptions"."drug_type" AND "demographic"."hadm_id" = "prescriptions"."hadm_id" | 0.308594 |
CREATE TABLE table_76526 ("Poll Source" CLOB, "Sample Size" FLOAT, "Margin of Error" FLOAT, "Date" CLOB, "Democrat" CLOB, "Republican" CLOB)
| What was the date of the poll with a sample size of 496 where Republican Mike Huckabee was chosen? | SELECT "Date" FROM table_76526 WHERE "Republican" = 'mike huckabee' AND "Sample Size" = '496' | SELECT "Date" FROM "table_76526" WHERE "Republican" = 'mike huckabee' AND "Sample Size" = '496' | 0.092773 |
CREATE TABLE table_name_27 (score VARCHAR2, tie_no VARCHAR2)
| What was the score of having a tie of 1? | SELECT score FROM table_name_27 WHERE tie_no = "1" | SELECT "score" FROM "table_name_27" WHERE "1" = "tie_no" | 0.054688 |
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
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 admission year is less than 2111 and lab test fluid is ascites? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.admityear < "2111" AND lab.fluid = "Ascites" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "lab" ON "Ascites" = "lab"."fluid" AND "demographic"."hadm_id" = "lab"."hadm_id" WHERE "2111" > "demographic"."admityear" | 0.19043 |
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE 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)
| provide the number of patients whose days of hospital stay is greater than 16 and drug route is id? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.days_stay > "16" AND prescriptions.route = "ID" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "prescriptions" ON "ID" = "prescriptions"."route" AND "demographic"."hadm_id" = "prescriptions"."hadm_id" WHERE "16" < "demographic"."days_stay" | 0.212891 |
CREATE TABLE ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId NUMBER)
CREATE TABLE PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId NUMBER)
CREATE TABLE Posts (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE SuggestedEditVotes (Id NUMBER, SuggestedEditId NUMBER, UserId NUMBER, VoteTypeId NUMBER, CreationDate TIME, TargetUserId NUMBER, TargetRepChange NUMBER)
CREATE TABLE Comments (Id NUMBER, PostId NUMBER, Score NUMBER, Text CLOB, CreationDate TIME, UserDisplayName CLOB, UserId NUMBER, ContentLicense CLOB)
CREATE TABLE TagSynonyms (Id NUMBER, SourceTagName CLOB, TargetTagName CLOB, CreationDate TIME, OwnerUserId NUMBER, AutoRenameCount NUMBER, LastAutoRename TIME, Score NUMBER, ApprovedByUserId NUMBER, ApprovalDate TIME)
CREATE TABLE Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount NUMBER)
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 PostHistory (Id NUMBER, PostHistoryTypeId NUMBER, PostId NUMBER, RevisionGUID other, CreationDate TIME, UserId NUMBER, UserDisplayName CLOB, Comment CLOB, Text CLOB, 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 Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
CREATE TABLE VoteTypes (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 ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
CREATE TABLE ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment CLOB)
CREATE TABLE PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
CREATE TABLE PostTags (PostId NUMBER, TagId NUMBER)
CREATE TABLE ReviewTaskTypes (Id NUMBER, Name CLOB, Description 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 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 PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
CREATE TABLE CloseReasonTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
CREATE TABLE PostTypes (Id NUMBER, Name CLOB)
CREATE TABLE PostHistoryTypes (Id NUMBER, Name CLOB)
CREATE TABLE PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId NUMBER)
CREATE TABLE ReviewTaskResultTypes (Id NUMBER, Name CLOB, Description CLOB)
| Shows the number of questions and most recent question for the top X users since a given date.. Shows the number of questions and most recent question for the top X users since a given date. | WITH TopUsers AS (SELECT Id FROM Users ORDER BY Reputation DESC LIMIT 500) SELECT u.Id AS "user_link", COUNT(*) AS QuestionCount, MAX(CreationDate) AS LastQuestionDate FROM TopUsers AS u INNER JOIN Posts AS p ON p.OwnerUserId = u.Id WHERE p.PostTypeId = 1 AND p.CreationDate >= '##BeginDate##' GROUP BY u.Id | WITH "TopUsers" AS (SELECT "Id" FROM "Users" ORDER BY "Reputation" DESC FETCH FIRST 500 ROWS ONLY) SELECT "u"."Id" AS "user_link", COUNT(*) AS "QuestionCount", MAX("CreationDate") AS "LastQuestionDate" FROM "TopUsers" "u" JOIN "Posts" "p" ON "p"."CreationDate" >= '##BeginDate##' AND "p"."OwnerUserId" = "u"."Id" AND "p"."PostTypeId" = 1 GROUP BY "u"."Id" | 0.34668 |
CREATE TABLE treatment (treatmentid NUMBER, patientunitstayid NUMBER, treatmentname CLOB, treatmenttime 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 diagnosis (diagnosisid NUMBER, patientunitstayid NUMBER, diagnosisname CLOB, diagnosistime TIME, icd9code CLOB)
CREATE TABLE vitalperiodic (vitalperiodicid NUMBER, patientunitstayid NUMBER, temperature NUMBER, sao2 NUMBER, heartrate NUMBER, respiration NUMBER, systemicsystolic NUMBER, systemicdiastolic NUMBER, systemicmean NUMBER, observationtime TIME)
CREATE TABLE allergy (allergyid NUMBER, patientunitstayid NUMBER, drugname CLOB, allergyname CLOB, allergytime 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 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)
| since 207 days ago, list the daily maximum heartrate of patient 007-15837. | SELECT MAX(vitalperiodic.heartrate) FROM vitalperiodic WHERE vitalperiodic.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '007-15837')) AND NOT vitalperiodic.heartrate IS NULL AND DATETIME(vitalperiodic.observationtime) >= DATETIME(CURRENT_TIME(), '-207 day') GROUP BY STRFTIME('%y-%m-%d', vitalperiodic.observationtime) | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '007-15837' 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 MAX("vitalperiodic"."heartrate") FROM "vitalperiodic" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "vitalperiodic"."patientunitstayid" WHERE DATETIME("vitalperiodic"."observationtime") >= DATETIME(CURRENT_TIME(), '-207 day') AND NOT "_u_1"."" IS NULL AND NOT "vitalperiodic"."heartrate" IS NULL GROUP BY STRFTIME('%y-%m-%d', "vitalperiodic"."observationtime") | 0.698242 |
CREATE TABLE Apartment_Facilities (apt_id NUMBER, facility_code CHAR)
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)
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 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_Buildings (building_id NUMBER, building_short_name CHAR, building_full_name VARCHAR2, building_description VARCHAR2, building_address VARCHAR2, building_manager VARCHAR2, building_phone VARCHAR2)
| Show the number of start dates of all the apartment bookings for each weekday with a bar chart, I want to rank from low to high by the y-axis. | SELECT booking_start_date, COUNT(booking_start_date) FROM Apartment_Bookings AS T1 JOIN Apartments AS T2 ON T1.apt_id = T2.apt_id ORDER BY COUNT(booking_start_date) | SELECT "booking_start_date", COUNT("booking_start_date") FROM "Apartment_Bookings" "T1" JOIN "Apartments" "T2" ON "T1"."apt_id" = "T2"."apt_id" ORDER BY COUNT("booking_start_date") | 0.175781 |
CREATE TABLE table_9795 ("Actor" CLOB, "Role" CLOB, "Status" CLOB, "Number Of Episodes" CLOB, "Notes" CLOB)
| What is Number Of Episodes, when Notes is 'Moved to run a farm with boyfriend Jake.'? | SELECT "Number Of Episodes" FROM table_9795 WHERE "Notes" = 'moved to run a farm with boyfriend jake.' | SELECT "Number Of Episodes" FROM "table_9795" WHERE "Notes" = 'moved to run a farm with boyfriend jake.' | 0.101563 |
CREATE TABLE table_25232 ("Rnd" FLOAT, "Date" CLOB, "Race Name" CLOB, "Length" CLOB, "Track" CLOB, "Location" CLOB, "Pole Position" CLOB, "Winning Driver" CLOB)
| How many races are in College Station, Texas and won by Johnny Rutherford? | SELECT COUNT("Race Name") FROM table_25232 WHERE "Location" = 'College Station, Texas' AND "Winning Driver" = 'Johnny Rutherford' | SELECT COUNT("Race Name") FROM "table_25232" WHERE "Location" = 'College Station, Texas' AND "Winning Driver" = 'Johnny Rutherford' | 0.12793 |
CREATE TABLE table_762 ("District" CLOB, "Incumbent" CLOB, "Party" CLOB, "First elected" FLOAT, "Result" CLOB, "Candidates" CLOB)
| What district is incumbent sid simpson from? | SELECT "District" FROM table_762 WHERE "Incumbent" = 'Sid Simpson' | SELECT "District" FROM "table_762" WHERE "Incumbent" = 'Sid Simpson' | 0.066406 |
CREATE TABLE table_name_71 (venue VARCHAR2, year VARCHAR2, position VARCHAR2)
| What venue did he play in before 2008 and finished 14th (q)? | SELECT venue FROM table_name_71 WHERE year < 2008 AND position = "14th (q)" | SELECT "venue" FROM "table_name_71" WHERE "14th (q)" = "position" AND "year" < 2008 | 0.081055 |
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 outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
CREATE TABLE d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
CREATE TABLE microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
CREATE TABLE patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
CREATE TABLE d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE 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)
CREATE TABLE cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost 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 procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
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 labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
| calculate the number of patients diagnosed with malign neopl ovary until 2102. | SELECT COUNT(DISTINCT admissions.subject_id) FROM admissions WHERE admissions.hadm_id IN (SELECT diagnoses_icd.hadm_id FROM diagnoses_icd WHERE diagnoses_icd.icd9_code = (SELECT d_icd_diagnoses.icd9_code FROM d_icd_diagnoses WHERE d_icd_diagnoses.short_title = 'malign neopl ovary') AND STRFTIME('%y', diagnoses_icd.charttime) <= '2102') | WITH "_u_1" AS (SELECT "diagnoses_icd"."hadm_id" FROM "diagnoses_icd" JOIN "d_icd_diagnoses" ON "d_icd_diagnoses"."icd9_code" = "diagnoses_icd"."icd9_code" AND "d_icd_diagnoses"."short_title" = 'malign neopl ovary' WHERE STRFTIME('%y', "diagnoses_icd"."charttime") <= '2102' GROUP BY "hadm_id") SELECT COUNT(DISTINCT "admissions"."subject_id") FROM "admissions" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "admissions"."hadm_id" WHERE NOT "_u_1"."" IS NULL | 0.44043 |
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 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 state (state_code CLOB, state_name CLOB, country_name CLOB)
CREATE TABLE restriction (restriction_code CLOB, advance_purchase NUMBER, stopovers CLOB, saturday_stay_required CLOB, minimum_stay NUMBER, maximum_stay NUMBER, application CLOB, no_discounts CLOB)
CREATE TABLE equipment_sequence (aircraft_code_sequence VARCHAR2, aircraft_code VARCHAR2)
CREATE TABLE flight_fare (flight_id NUMBER, fare_id NUMBER)
CREATE TABLE days (days_code VARCHAR2, day_name VARCHAR2)
CREATE TABLE class_of_service (booking_class VARCHAR2, rank NUMBER, class_description CLOB)
CREATE TABLE flight_stop (flight_id NUMBER, stop_number NUMBER, stop_days CLOB, stop_airport CLOB, arrival_time NUMBER, arrival_airline CLOB, arrival_flight_number NUMBER, departure_time NUMBER, departure_airline CLOB, departure_flight_number NUMBER, stop_time NUMBER)
CREATE TABLE ground_service (city_code CLOB, airport_code CLOB, transport_type CLOB, ground_fare 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 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 month (month_number NUMBER, month_name CLOB)
CREATE TABLE fare (fare_id NUMBER, from_airport VARCHAR2, to_airport VARCHAR2, fare_basis_code CLOB, fare_airline CLOB, restriction_code CLOB, one_direction_cost NUMBER, round_trip_cost NUMBER, round_trip_required VARCHAR2)
CREATE TABLE code_description (code VARCHAR2, description CLOB)
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 food_service (meal_code CLOB, meal_number NUMBER, compartment CLOB, meal_description VARCHAR2)
CREATE TABLE compartment_class (compartment VARCHAR2, class_type VARCHAR2)
CREATE TABLE date_day (month_number NUMBER, day_number NUMBER, year NUMBER, day_name VARCHAR2)
CREATE TABLE airport (airport_code VARCHAR2, airport_name CLOB, airport_location CLOB, state_code VARCHAR2, country_name VARCHAR2, time_zone_code VARCHAR2, minimum_connect_time NUMBER)
CREATE TABLE aircraft (aircraft_code VARCHAR2, aircraft_description VARCHAR2, manufacturer VARCHAR2, basic_type VARCHAR2, engines NUMBER, propulsion VARCHAR2, wide_body VARCHAR2, wing_span NUMBER, length NUMBER, weight NUMBER, capacity NUMBER, pay_load NUMBER, cruising_speed NUMBER, range_miles NUMBER, pressurized VARCHAR2)
CREATE TABLE flight_leg (flight_id NUMBER, leg_number NUMBER, leg_flight NUMBER)
| what is the earliest flight that goes from ATLANTA to WASHINGTON on THURSDAY | SELECT DISTINCT flight.flight_id FROM airport_service AS AIRPORT_SERVICE_0, airport_service AS AIRPORT_SERVICE_1, city AS CITY_0, city AS CITY_1, days, flight WHERE ((CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'WASHINGTON' AND days.day_name = 'THURSDAY' AND flight.flight_days = days.days_code AND flight.to_airport = AIRPORT_SERVICE_1.airport_code) AND CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'ATLANTA' AND flight.from_airport = AIRPORT_SERVICE_0.airport_code) AND flight.departure_time = (SELECT MIN(FLIGHTalias1.departure_time) FROM airport_service AS AIRPORT_SERVICEalias2, airport_service AS AIRPORT_SERVICEalias3, city AS CITYalias2, city AS CITYalias3, days AS DAYSalias1, flight AS FLIGHTalias1 WHERE (CITYalias3.city_code = AIRPORT_SERVICEalias3.city_code AND CITYalias3.city_name = 'WASHINGTON' AND DAYSalias1.day_name = 'THURSDAY' AND FLIGHTalias1.flight_days = DAYSalias1.days_code AND FLIGHTalias1.to_airport = AIRPORT_SERVICEalias3.airport_code) AND CITYalias2.city_code = AIRPORT_SERVICEalias2.city_code AND CITYalias2.city_name = 'ATLANTA' AND FLIGHTalias1.from_airport = AIRPORT_SERVICEalias2.airport_code) | WITH "_u_0" AS (SELECT MIN("FLIGHTalias1"."departure_time") FROM "airport_service" "AIRPORT_SERVICEalias2" JOIN "city" "CITYalias2" ON "AIRPORT_SERVICEalias2"."city_code" = "CITYalias2"."city_code" AND "CITYalias2"."city_name" = 'ATLANTA' JOIN "flight" "FLIGHTalias1" ON "AIRPORT_SERVICEalias2"."airport_code" = "FLIGHTalias1"."from_airport" JOIN "airport_service" "AIRPORT_SERVICEalias3" ON "AIRPORT_SERVICEalias3"."airport_code" = "FLIGHTalias1"."to_airport" JOIN "days" "DAYSalias1" ON "DAYSalias1"."day_name" = 'THURSDAY' AND "DAYSalias1"."days_code" = "FLIGHTalias1"."flight_days" JOIN "city" "CITYalias3" ON "AIRPORT_SERVICEalias3"."city_code" = "CITYalias3"."city_code" AND "CITYalias3"."city_name" = 'WASHINGTON') SELECT DISTINCT "flight"."flight_id" FROM "airport_service" "AIRPORT_SERVICE_0" JOIN "city" "CITY_0" ON "AIRPORT_SERVICE_0"."city_code" = "CITY_0"."city_code" AND "CITY_0"."city_name" = 'ATLANTA' JOIN "flight" ON "AIRPORT_SERVICE_0"."airport_code" = "flight"."from_airport" JOIN "airport_service" "AIRPORT_SERVICE_1" ON "AIRPORT_SERVICE_1"."airport_code" = "flight"."to_airport" JOIN "_u_0" "_u_0" ON "_u_0"."" = "flight"."departure_time" JOIN "days" ON "days"."day_name" = 'THURSDAY' AND "days"."days_code" = "flight"."flight_days" JOIN "city" "CITY_1" ON "AIRPORT_SERVICE_1"."city_code" = "CITY_1"."city_code" AND "CITY_1"."city_name" = 'WASHINGTON' | 1.34082 |
CREATE TABLE table_7983 ("Frequency" CLOB, "Call sign" CLOB, "Branding" CLOB, "Format" CLOB, "Owner" CLOB)
| Which frequency belongs to the beat branding? | SELECT "Frequency" FROM table_7983 WHERE "Branding" = 'the beat' | SELECT "Frequency" FROM "table_7983" WHERE "Branding" = 'the beat' | 0.064453 |
CREATE TABLE cost (costid NUMBER, uniquepid CLOB, patienthealthsystemstayid NUMBER, eventtype CLOB, eventid NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE microlab (microlabid NUMBER, patientunitstayid NUMBER, culturesite CLOB, organism CLOB, culturetakentime TIME)
CREATE TABLE lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime TIME)
CREATE TABLE patient (uniquepid CLOB, patienthealthsystemstayid NUMBER, patientunitstayid NUMBER, gender CLOB, age CLOB, ethnicity CLOB, hospitalid NUMBER, wardid NUMBER, admissionheight NUMBER, admissionweight NUMBER, dischargeweight NUMBER, hospitaladmittime TIME, hospitaladmitsource CLOB, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus CLOB)
CREATE TABLE medication (medicationid NUMBER, patientunitstayid NUMBER, drugname CLOB, dosage CLOB, routeadmin CLOB, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE intakeoutput (intakeoutputid NUMBER, patientunitstayid NUMBER, cellpath CLOB, celllabel CLOB, cellvaluenumeric NUMBER, intakeoutputtime TIME)
CREATE TABLE diagnosis (diagnosisid NUMBER, patientunitstayid NUMBER, diagnosisname CLOB, diagnosistime TIME, icd9code CLOB)
CREATE TABLE vitalperiodic (vitalperiodicid NUMBER, patientunitstayid NUMBER, temperature NUMBER, sao2 NUMBER, heartrate NUMBER, respiration NUMBER, systemicsystolic NUMBER, systemicdiastolic NUMBER, systemicmean NUMBER, observationtime TIME)
CREATE TABLE treatment (treatmentid NUMBER, patientunitstayid NUMBER, treatmentname CLOB, treatmenttime TIME)
CREATE TABLE allergy (allergyid NUMBER, patientunitstayid NUMBER, drugname CLOB, allergyname CLOB, allergytime TIME)
| count the number of patients who are dead after having been diagnosed with cardiogenic shock during the same month since 1 year ago. | SELECT COUNT(DISTINCT t2.uniquepid) FROM (SELECT t1.uniquepid, t1.diagnosistime FROM (SELECT patient.uniquepid, diagnosis.diagnosistime FROM diagnosis JOIN patient ON diagnosis.patientunitstayid = patient.patientunitstayid WHERE diagnosis.diagnosisname = 'cardiogenic shock') AS t1 GROUP BY t1.uniquepid HAVING MIN(t1.diagnosistime) = t1.diagnosistime AND DATETIME(t1.diagnosistime) >= DATETIME(CURRENT_TIME(), '-1 year')) AS t2 JOIN (SELECT patient.uniquepid, patient.patienthealthsystemstayid, patient.hospitaldischargetime FROM patient WHERE patient.hospitaldischargestatus = 'expired') AS t3 ON t2.uniquepid = t3.uniquepid WHERE DATETIME(t2.diagnosistime, 'start of month') = DATETIME(t3.hospitaldischargetime, 'start of month') | WITH "t2" AS (SELECT "patient"."uniquepid", "diagnosis"."diagnosistime" FROM "diagnosis" JOIN "patient" ON "diagnosis"."patientunitstayid" = "patient"."patientunitstayid" WHERE "diagnosis"."diagnosisname" = 'cardiogenic shock' GROUP BY "patient"."uniquepid" HAVING "diagnosis"."diagnosistime" = MIN("diagnosis"."diagnosistime") AND DATETIME("diagnosis"."diagnosistime") >= DATETIME(CURRENT_TIME(), '-1 year')) SELECT COUNT(DISTINCT "t2"."uniquepid") FROM "t2" "t2" JOIN "patient" ON "patient"."hospitaldischargestatus" = 'expired' AND "patient"."uniquepid" = "t2"."uniquepid" AND DATETIME("patient"."hospitaldischargetime", 'start of month') = DATETIME("t2"."diagnosistime", 'start of month') | 0.675781 |
CREATE TABLE table_name_18 (losses NUMBER, wins VARCHAR2, against VARCHAR2, club VARCHAR2)
| What are the least losses of Warrnambool with more than 6 wins and less than 630 against? | SELECT MIN(losses) FROM table_name_18 WHERE against < 630 AND club = "warrnambool" AND wins > 6 | SELECT MIN("losses") FROM "table_name_18" WHERE "against" < 630 AND "club" = "warrnambool" AND "wins" > 6 | 0.102539 |
CREATE TABLE table_name_15 (frequency VARCHAR2, socket VARCHAR2, model_number VARCHAR2)
| Which Frequency has a Socket of socket 370, and a Model Number of c3 1.4a? | SELECT frequency FROM table_name_15 WHERE socket = "socket 370" AND model_number = "c3 1.4a" | SELECT "frequency" FROM "table_name_15" WHERE "c3 1.4a" = "model_number" AND "socket 370" = "socket" | 0.097656 |
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 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 d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
CREATE TABLE prescriptions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, startdate TIME, enddate TIME, drug CLOB, dose_val_rx CLOB, dose_unit_rx CLOB, route CLOB)
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
CREATE TABLE outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
CREATE TABLE labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
CREATE TABLE inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
CREATE TABLE admissions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, admittime TIME, dischtime TIME, admission_type CLOB, admission_location CLOB, discharge_location CLOB, insurance CLOB, language CLOB, marital_status CLOB, ethnicity CLOB, age NUMBER)
CREATE TABLE d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
CREATE TABLE d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
| when did first patient 2238 have the minimum value of fibrinogen, functional in 04/last year? | SELECT labevents.charttime FROM labevents WHERE labevents.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 2238) AND labevents.itemid IN (SELECT d_labitems.itemid FROM d_labitems WHERE d_labitems.label = 'fibrinogen, functional') AND DATETIME(labevents.charttime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year') AND STRFTIME('%m', labevents.charttime) = '04' ORDER BY labevents.valuenum, labevents.charttime LIMIT 1 | WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 2238 GROUP BY "hadm_id"), "_u_1" AS (SELECT "d_labitems"."itemid" FROM "d_labitems" WHERE "d_labitems"."label" = 'fibrinogen, functional' GROUP BY "itemid") SELECT "labevents"."charttime" 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 DATETIME("labevents"."charttime", 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year') AND NOT "_u_0"."" IS NULL AND NOT "_u_1"."" IS NULL AND STRFTIME('%m', "labevents"."charttime") = '04' ORDER BY "labevents"."valuenum", "labevents"."charttime" FETCH FIRST 1 ROWS ONLY | 0.702148 |
CREATE TABLE status (station_id NUMBER, bikes_available NUMBER, docks_available NUMBER, time CLOB)
CREATE TABLE trip (id NUMBER, duration NUMBER, start_date CLOB, start_station_name CLOB, start_station_id NUMBER, end_date CLOB, end_station_name CLOB, end_station_id NUMBER, bike_id NUMBER, subscription_type CLOB, zip_code NUMBER)
CREATE TABLE station (id NUMBER, name CLOB, lat NUMBER, long NUMBER, dock_count NUMBER, city CLOB, installation_date CLOB)
CREATE TABLE weather (date CLOB, max_temperature_f NUMBER, mean_temperature_f NUMBER, min_temperature_f NUMBER, max_dew_point_f NUMBER, mean_dew_point_f NUMBER, min_dew_point_f NUMBER, max_humidity NUMBER, mean_humidity NUMBER, min_humidity NUMBER, max_sea_level_pressure_inches NUMBER, mean_sea_level_pressure_inches NUMBER, min_sea_level_pressure_inches NUMBER, max_visibility_miles NUMBER, mean_visibility_miles NUMBER, min_visibility_miles NUMBER, max_wind_speed_mph NUMBER, mean_wind_speed_mph NUMBER, max_gust_speed_mph NUMBER, precipitation_inches NUMBER, cloud_cover NUMBER, events CLOB, wind_dir_degrees NUMBER, zip_code NUMBER)
| What are the ids of stations that have latitude above 37.4 and never had bike availability below 7? | SELECT id FROM station WHERE lat > 37.4 EXCEPT SELECT station_id FROM status GROUP BY station_id HAVING MIN(bikes_available) < 7 | SELECT "id" FROM "station" WHERE "lat" > 37.4 EXCEPT SELECT "station_id" FROM "status" GROUP BY "station_id" HAVING MIN("bikes_available") < 7 | 0.138672 |
CREATE TABLE table_55310 ("Village ( German ) " CLOB, "Village ( Slovenian ) " CLOB, "Number of peoople 1991" FLOAT, "Percent of Slovenes 1991" CLOB, "Percent of Slovenes 1951" CLOB)
| What percentage of Slovenes lived in the village of Roach in 1951? | SELECT "Percent of Slovenes 1951" FROM table_55310 WHERE "Village (German)" = 'roach' | SELECT "Percent of Slovenes 1951" FROM "table_55310" WHERE "Village (German)" = 'roach' | 0.084961 |
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 code_description (code VARCHAR2, description CLOB)
CREATE TABLE month (month_number NUMBER, month_name CLOB)
CREATE TABLE airline (airline_code VARCHAR2, airline_name CLOB, note CLOB)
CREATE TABLE equipment_sequence (aircraft_code_sequence VARCHAR2, aircraft_code VARCHAR2)
CREATE TABLE dual_carrier (main_airline VARCHAR2, low_flight_number NUMBER, high_flight_number NUMBER, dual_airline VARCHAR2, service_name CLOB)
CREATE TABLE time_zone (time_zone_code CLOB, time_zone_name CLOB, hours_from_gmt NUMBER)
CREATE TABLE time_interval (period CLOB, begin_time NUMBER, end_time NUMBER)
CREATE TABLE ground_service (city_code CLOB, airport_code CLOB, transport_type CLOB, ground_fare 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 flight_leg (flight_id NUMBER, leg_number NUMBER, leg_flight NUMBER)
CREATE TABLE date_day (month_number NUMBER, day_number NUMBER, year NUMBER, day_name 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 flight (aircraft_code_sequence CLOB, airline_code VARCHAR2, airline_flight CLOB, arrival_time NUMBER, connections NUMBER, departure_time NUMBER, dual_carrier CLOB, flight_days CLOB, flight_id NUMBER, flight_number NUMBER, from_airport VARCHAR2, meal_code CLOB, stops NUMBER, time_elapsed NUMBER, to_airport VARCHAR2)
CREATE TABLE compartment_class (compartment VARCHAR2, class_type VARCHAR2)
CREATE TABLE 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 food_service (meal_code CLOB, meal_number NUMBER, compartment CLOB, meal_description VARCHAR2)
CREATE TABLE airport_service (city_code VARCHAR2, airport_code VARCHAR2, miles_distant NUMBER, direction VARCHAR2, minutes_distant NUMBER)
CREATE TABLE flight_fare (flight_id NUMBER, fare_id NUMBER)
CREATE TABLE class_of_service (booking_class VARCHAR2, rank NUMBER, class_description CLOB)
CREATE TABLE city (city_code VARCHAR2, city_name VARCHAR2, state_code VARCHAR2, country_name VARCHAR2, time_zone_code VARCHAR2)
CREATE TABLE state (state_code CLOB, state_name CLOB, country_name CLOB)
CREATE TABLE fare (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 airport (airport_code VARCHAR2, airport_name CLOB, airport_location CLOB, state_code VARCHAR2, country_name VARCHAR2, time_zone_code VARCHAR2, minimum_connect_time NUMBER)
| show me the flights from PITTSBURGH to DALLAS | SELECT DISTINCT flight.flight_id FROM airport_service AS AIRPORT_SERVICE_0, airport_service AS AIRPORT_SERVICE_1, city AS CITY_0, city AS CITY_1, flight WHERE CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'PITTSBURGH' AND CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'DALLAS' AND flight.from_airport = AIRPORT_SERVICE_0.airport_code AND flight.to_airport = AIRPORT_SERVICE_1.airport_code | SELECT DISTINCT "flight"."flight_id" FROM "airport_service" "AIRPORT_SERVICE_0" JOIN "city" "CITY_0" ON "AIRPORT_SERVICE_0"."city_code" = "CITY_0"."city_code" AND "CITY_0"."city_name" = 'PITTSBURGH' JOIN "flight" ON "AIRPORT_SERVICE_0"."airport_code" = "flight"."from_airport" JOIN "airport_service" "AIRPORT_SERVICE_1" ON "AIRPORT_SERVICE_1"."airport_code" = "flight"."to_airport" JOIN "city" "CITY_1" ON "AIRPORT_SERVICE_1"."city_code" = "CITY_1"."city_code" AND "CITY_1"."city_name" = 'DALLAS' | 0.484375 |
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE 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 number of patients whose admission location is emergency room admit and procedure short title is coronar arteriogr-1 cath? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.admission_location = "EMERGENCY ROOM ADMIT" AND procedures.short_title = "Coronar arteriogr-1 cath" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "procedures" ON "Coronar arteriogr-1 cath" = "procedures"."short_title" AND "demographic"."hadm_id" = "procedures"."hadm_id" WHERE "EMERGENCY ROOM ADMIT" = "demographic"."admission_location" | 0.257813 |
CREATE TABLE table_32706 ("Week" FLOAT, "Date" CLOB, "Opponent" CLOB, "Result" CLOB, "Record" CLOB, "Attendance" CLOB)
| Which opponent had an attendance of 40,070? | SELECT "Opponent" FROM table_32706 WHERE "Attendance" = '40,070' | SELECT "Opponent" FROM "table_32706" WHERE "Attendance" = '40,070' | 0.064453 |
CREATE TABLE table_31144 ("Season" FLOAT, "Winner" CLOB, "Runner-up" CLOB, "Third place" CLOB, "Fourth place" CLOB)
| How many seasons did Otsuka Pharmaceuticals come in third? | SELECT COUNT("Season") FROM table_31144 WHERE "Third place" = 'Otsuka Pharmaceuticals' | SELECT COUNT("Season") FROM "table_31144" WHERE "Third place" = 'Otsuka Pharmaceuticals' | 0.085938 |
CREATE TABLE table_41981 ("Rank" FLOAT, "Nation" CLOB, "Gold" FLOAT, "Silver" FLOAT, "Bronze" FLOAT, "Total" FLOAT)
| Which Total has a Silver larger than 8, and a Bronze of 20, and a Gold smaller than 20? | SELECT COUNT("Total") FROM table_41981 WHERE "Silver" > '8' AND "Bronze" = '20' AND "Gold" < '20' | SELECT COUNT("Total") FROM "table_41981" WHERE "Bronze" = '20' AND "Gold" < '20' AND "Silver" > '8' | 0.09668 |
CREATE TABLE table_name_25 (home_team VARCHAR2, away_team VARCHAR2)
| Which Home team has an Away team of collingwood? | SELECT home_team FROM table_name_25 WHERE away_team = "collingwood" | SELECT "home_team" FROM "table_name_25" WHERE "away_team" = "collingwood" | 0.071289 |
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)
| Plot a scatter chart, sum(number of platforms) by sum total passengers. | SELECT SUM(Number_of_Platforms), SUM(Total_Passengers) FROM station GROUP BY Location | SELECT SUM("Number_of_Platforms"), SUM("Total_Passengers") FROM "station" GROUP BY "Location" | 0.09082 |
CREATE TABLE diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
CREATE TABLE patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
CREATE TABLE chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
CREATE TABLE labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE icustays (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, first_careunit CLOB, last_careunit CLOB, first_wardid NUMBER, last_wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
CREATE TABLE procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE transfers (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, eventtype CLOB, careunit CLOB, wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
CREATE TABLE admissions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, admittime TIME, dischtime TIME, admission_type CLOB, admission_location CLOB, discharge_location CLOB, insurance CLOB, language CLOB, marital_status CLOB, ethnicity CLOB, age NUMBER)
CREATE TABLE 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_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
| has patient 25628 received a albumin lab in 01/this year? | SELECT COUNT(*) > 0 FROM labevents WHERE labevents.itemid IN (SELECT d_labitems.itemid FROM d_labitems WHERE d_labitems.label = 'albumin') AND labevents.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 25628) AND DATETIME(labevents.charttime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-0 year') AND STRFTIME('%m', labevents.charttime) = '01' | WITH "_u_0" AS (SELECT "d_labitems"."itemid" FROM "d_labitems" WHERE "d_labitems"."label" = 'albumin' GROUP BY "itemid"), "_u_1" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 25628 GROUP BY "hadm_id") SELECT COUNT(*) > 0 FROM "labevents" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "labevents"."itemid" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "labevents"."hadm_id" WHERE DATETIME("labevents"."charttime", 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-0 year') AND NOT "_u_0"."" IS NULL AND NOT "_u_1"."" IS NULL AND STRFTIME('%m', "labevents"."charttime") = '01' | 0.598633 |
CREATE TABLE table_68991 ("Year" FLOAT, "Entrant" CLOB, "Chassis" CLOB, "Engine" CLOB, "Points" FLOAT)
| What is the most points when the chassis was Jaguar R3 later than 2002? | SELECT MAX("Points") FROM table_68991 WHERE "Chassis" = 'jaguar r3' AND "Year" > '2002' | SELECT MAX("Points") FROM "table_68991" WHERE "Chassis" = 'jaguar r3' AND "Year" > '2002' | 0.086914 |
CREATE TABLE table_44471 ("Rank" CLOB, "s Wicket" CLOB, "Player" CLOB, "Matches" CLOB, "Average" CLOB)
| Which player has a s wicket at 48? | SELECT "Player" FROM table_44471 WHERE "s Wicket" = '48' | SELECT "Player" FROM "table_44471" WHERE "s Wicket" = '48' | 0.056641 |
CREATE TABLE table_name_79 (date VARCHAR2, winner VARCHAR2)
| What is the Date, when the Winner is Aaron Gustavson? | SELECT date FROM table_name_79 WHERE winner = "aaron gustavson" | SELECT "date" FROM "table_name_79" WHERE "aaron gustavson" = "winner" | 0.067383 |
CREATE TABLE outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
CREATE TABLE d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
CREATE TABLE admissions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, admittime TIME, dischtime TIME, admission_type CLOB, admission_location CLOB, discharge_location CLOB, insurance CLOB, language CLOB, marital_status CLOB, ethnicity CLOB, age NUMBER)
CREATE TABLE d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label 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 chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE prescriptions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, startdate TIME, enddate TIME, drug CLOB, dose_val_rx CLOB, dose_unit_rx CLOB, route CLOB)
CREATE TABLE diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
CREATE TABLE microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
CREATE TABLE transfers (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, eventtype CLOB, careunit CLOB, wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
| provide me with the top three diagnoses that had the highest one year mortality rate. | SELECT d_icd_diagnoses.short_title FROM d_icd_diagnoses WHERE d_icd_diagnoses.icd9_code IN (SELECT t4.icd9_code FROM (SELECT t3.icd9_code, DENSE_RANK() OVER (ORDER BY t3.c1 DESC) AS c2 FROM (SELECT t2.icd9_code, 100 - SUM(CASE WHEN patients.dod IS NULL THEN 1 WHEN STRFTIME('%j', patients.dod) - STRFTIME('%j', t2.charttime) > 1 * 365 THEN 1 ELSE 0 END) * 100 / COUNT(*) AS c1 FROM (SELECT t1.subject_id, t1.icd9_code, t1.charttime FROM (SELECT admissions.subject_id, diagnoses_icd.icd9_code, diagnoses_icd.charttime FROM diagnoses_icd JOIN admissions ON diagnoses_icd.hadm_id = admissions.hadm_id GROUP BY admissions.subject_id, diagnoses_icd.icd9_code HAVING MIN(diagnoses_icd.charttime) = diagnoses_icd.charttime) AS t1 WHERE STRFTIME('%j', CURRENT_TIME()) - STRFTIME('%j', t1.charttime) > 1 * 365) AS t2 JOIN patients ON t2.subject_id = patients.subject_id GROUP BY t2.icd9_code) AS t3) AS t4 WHERE t4.c2 <= 3) | WITH "t1" AS (SELECT "admissions"."subject_id", "diagnoses_icd"."icd9_code", "diagnoses_icd"."charttime" FROM "diagnoses_icd" JOIN "admissions" ON "admissions"."hadm_id" = "diagnoses_icd"."hadm_id" GROUP BY "admissions"."subject_id", "diagnoses_icd"."icd9_code" HAVING "diagnoses_icd"."charttime" = MIN("diagnoses_icd"."charttime")), "t3" AS (SELECT "t1"."icd9_code", 100 - SUM(CASE WHEN "patients"."dod" IS NULL THEN 1 WHEN STRFTIME('%j', "patients"."dod") - STRFTIME('%j', "t1"."charttime") > 365 THEN 1 ELSE 0 END) * 100 / NULLIF(COUNT(*), 0) AS "c1" FROM "t1" "t1" JOIN "patients" ON "patients"."subject_id" = "t1"."subject_id" WHERE STRFTIME('%j', CURRENT_TIME()) - STRFTIME('%j', "t1"."charttime") > 365 GROUP BY "t1"."icd9_code"), "t4" AS (SELECT "t3"."icd9_code", DENSE_RANK() OVER (ORDER BY "t3"."c1" DESC) AS "c2" FROM "t3" "t3"), "_u_0" AS (SELECT "t4"."icd9_code" FROM "t4" "t4" WHERE "t4"."c2" <= 3 GROUP BY "icd9_code") SELECT "d_icd_diagnoses"."short_title" FROM "d_icd_diagnoses" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "d_icd_diagnoses"."icd9_code" WHERE NOT "_u_0"."" IS NULL | 1.066406 |
CREATE TABLE table_74129 ("Game" FLOAT, "November" FLOAT, "Opponent" CLOB, "Score" CLOB, "Location/Attendance" CLOB, "Record" CLOB, "Points" FLOAT)
| What is the highest entry in November for the game 20? | SELECT MAX("November") FROM table_74129 WHERE "Game" = '20' | SELECT MAX("November") FROM "table_74129" WHERE "Game" = '20' | 0.05957 |
CREATE TABLE microlab (microlabid NUMBER, patientunitstayid NUMBER, culturesite CLOB, organism CLOB, culturetakentime TIME)
CREATE TABLE patient (uniquepid CLOB, patienthealthsystemstayid NUMBER, patientunitstayid NUMBER, gender CLOB, age CLOB, ethnicity CLOB, hospitalid NUMBER, wardid NUMBER, admissionheight NUMBER, admissionweight NUMBER, dischargeweight NUMBER, hospitaladmittime TIME, hospitaladmitsource CLOB, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus CLOB)
CREATE TABLE vitalperiodic (vitalperiodicid NUMBER, patientunitstayid NUMBER, temperature NUMBER, sao2 NUMBER, heartrate NUMBER, respiration NUMBER, systemicsystolic NUMBER, systemicdiastolic NUMBER, systemicmean NUMBER, observationtime TIME)
CREATE TABLE medication (medicationid NUMBER, patientunitstayid NUMBER, drugname CLOB, dosage CLOB, routeadmin CLOB, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime TIME)
CREATE TABLE treatment (treatmentid NUMBER, patientunitstayid NUMBER, treatmentname CLOB, treatmenttime TIME)
CREATE TABLE intakeoutput (intakeoutputid NUMBER, patientunitstayid NUMBER, cellpath CLOB, celllabel CLOB, cellvaluenumeric NUMBER, intakeoutputtime TIME)
CREATE TABLE allergy (allergyid NUMBER, patientunitstayid NUMBER, drugname CLOB, allergyname CLOB, allergytime TIME)
CREATE TABLE diagnosis (diagnosisid NUMBER, patientunitstayid NUMBER, diagnosisname CLOB, diagnosistime TIME, icd9code CLOB)
CREATE TABLE cost (costid NUMBER, uniquepid CLOB, patienthealthsystemstayid NUMBER, eventtype CLOB, eventid NUMBER, chargetime TIME, cost NUMBER)
| what was the yearly average intake of d5w of patient 030-51920? | SELECT AVG(intakeoutput.cellvaluenumeric) FROM intakeoutput WHERE intakeoutput.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '030-51920')) AND intakeoutput.celllabel = 'd5w' AND intakeoutput.cellpath LIKE '%intake%' GROUP BY STRFTIME('%y', intakeoutput.intakeoutputtime) | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '030-51920' GROUP BY "patienthealthsystemstayid"), "_u_1" AS (SELECT "patient"."patientunitstayid" FROM "patient" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "patient"."patienthealthsystemstayid" WHERE NOT "_u_0"."" IS NULL GROUP BY "patientunitstayid") SELECT AVG("intakeoutput"."cellvaluenumeric") FROM "intakeoutput" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "intakeoutput"."patientunitstayid" WHERE "intakeoutput"."celllabel" = 'd5w' AND "intakeoutput"."cellpath" LIKE '%intake%' AND NOT "_u_1"."" IS NULL GROUP BY STRFTIME('%y', "intakeoutput"."intakeoutputtime") | 0.650391 |
CREATE TABLE table_45724 ("Year" FLOAT, "Category" CLOB, "President" CLOB, "Nominee" CLOB, "Film" CLOB, "Result" CLOB)
| What was the category of Richard Nixon as President in a year prior to 2009? | SELECT "Category" FROM table_45724 WHERE "President" = 'richard nixon' AND "Year" < '2009' | SELECT "Category" FROM "table_45724" WHERE "President" = 'richard nixon' AND "Year" < '2009' | 0.089844 |
CREATE TABLE table_28418916_3 (opponents_head_coach VARCHAR2, fbs_opponent VARCHAR2)
| How many head coaches did Kent state golden flashes have? | SELECT COUNT(opponents_head_coach) FROM table_28418916_3 WHERE fbs_opponent = "Kent State Golden Flashes" | SELECT COUNT("opponents_head_coach") FROM "table_28418916_3" WHERE "Kent State Golden Flashes" = "fbs_opponent" | 0.108398 |
CREATE TABLE table_59230 ("District" CLOB, "Incumbent" CLOB, "Party" CLOB, "First elected" FLOAT, "Results" CLOB)
| What is District, when Incumbent is 'Richard Neal'? | SELECT "District" FROM table_59230 WHERE "Incumbent" = 'richard neal' | SELECT "District" FROM "table_59230" WHERE "Incumbent" = 'richard neal' | 0.069336 |
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE 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)
| how many patients died and were diagnosed with proteus infection nos? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.expire_flag = "1" AND diagnoses.short_title = "Proteus infection NOS" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "Proteus infection NOS" = "diagnoses"."short_title" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" WHERE "1" = "demographic"."expire_flag" | 0.226563 |
CREATE TABLE table_25230 ("Stage" FLOAT, "Winner" CLOB, "General classification" CLOB, "Points classification" CLOB, "Mountains classification" CLOB, "Young rider classification" CLOB, "Team classification" CLOB, "Combativity award" CLOB)
| What is the total number of team classifications when the young rider classification leader was Salvatore Commesso and the combativity award winner was Jacky Durand? | SELECT COUNT("Team classification") FROM table_25230 WHERE "Young rider classification" = 'Salvatore Commesso' AND "Combativity award" = 'Jacky Durand' | SELECT COUNT("Team classification") FROM "table_25230" WHERE "Combativity award" = 'Jacky Durand' AND "Young rider classification" = 'Salvatore Commesso' | 0.149414 |
CREATE TABLE Department_Stores (dept_store_id NUMBER, dept_store_chain_id NUMBER, store_name VARCHAR2, store_address VARCHAR2, store_phone VARCHAR2, store_email VARCHAR2)
CREATE TABLE Departments (department_id NUMBER, dept_store_id NUMBER, department_name VARCHAR2)
CREATE TABLE Customer_Orders (order_id NUMBER, customer_id NUMBER, order_status_code VARCHAR2, order_date DATETIME)
CREATE TABLE Department_Store_Chain (dept_store_chain_id NUMBER, dept_store_chain_name VARCHAR2)
CREATE TABLE Addresses (address_id NUMBER, address_details VARCHAR2)
CREATE TABLE Staff (staff_id NUMBER, staff_gender VARCHAR2, staff_name VARCHAR2)
CREATE TABLE Customer_Addresses (customer_id NUMBER, address_id NUMBER, date_from DATETIME, date_to DATETIME)
CREATE TABLE Suppliers (supplier_id NUMBER, supplier_name VARCHAR2, supplier_phone VARCHAR2)
CREATE TABLE Staff_Department_Assignments (staff_id NUMBER, department_id NUMBER, date_assigned_from DATETIME, job_title_code VARCHAR2, date_assigned_to DATETIME)
CREATE TABLE Order_Items (order_item_id NUMBER, order_id NUMBER, product_id NUMBER)
CREATE TABLE Customers (customer_id NUMBER, payment_method_code VARCHAR2, customer_code VARCHAR2, customer_name VARCHAR2, customer_address VARCHAR2, customer_phone VARCHAR2, customer_email VARCHAR2)
CREATE TABLE Product_Suppliers (product_id NUMBER, supplier_id NUMBER, date_supplied_from DATETIME, date_supplied_to DATETIME, total_amount_purchased VARCHAR2, total_value_purchased NUMBER)
CREATE TABLE Supplier_Addresses (supplier_id NUMBER, address_id NUMBER, date_from DATETIME, date_to DATETIME)
CREATE TABLE Products (product_id NUMBER, product_type_code VARCHAR2, product_name VARCHAR2, product_price NUMBER)
| Show the price of each product supplied by supplier id 3 in a bar chart. | SELECT product_name, product_price FROM Product_Suppliers AS T1 JOIN Products AS T2 ON T1.product_id = T2.product_id WHERE T1.supplier_id = 3 | SELECT "product_name", "product_price" FROM "Product_Suppliers" "T1" JOIN "Products" "T2" ON "T1"."product_id" = "T2"."product_id" WHERE "T1"."supplier_id" = 3 | 0.155273 |
CREATE TABLE table_12252 ("Round" FLOAT, "Date" CLOB, "Event" CLOB, "Circuit" CLOB, "Winning Driver" CLOB, "Winning Team" CLOB)
| Which Winning Driver has a Circuit of circuit zandvoort? | SELECT "Winning Driver" FROM table_12252 WHERE "Circuit" = 'circuit zandvoort' | SELECT "Winning Driver" FROM "table_12252" WHERE "Circuit" = 'circuit zandvoort' | 0.078125 |
CREATE TABLE table_train_233 ("id" NUMBER, "serum_bicarbonate" NUMBER, "language" CLOB, "hemoglobin_a1c_hba1c" FLOAT, "creatinine_clearance_cl" FLOAT, "admission_blood_glucose" NUMBER, "urine_albumin" NUMBER, "ketoacidosis" BOOLEAN, "age" FLOAT, "NOUSE" FLOAT)
| subjects must have an admission blood glucose > 140 mg and < 400 mg / dl and no evidence of ketoacidosis ( serum bicarbonate < 18 meq / l | SELECT * FROM table_train_233 WHERE admission_blood_glucose > 140 AND admission_blood_glucose < 400 AND (ketoacidosis = 0 OR serum_bicarbonate > 18) | SELECT * FROM "table_train_233" WHERE "admission_blood_glucose" < 400 AND "admission_blood_glucose" > 140 AND ("ketoacidosis" = 0 OR "serum_bicarbonate" > 18) | 0.154297 |
CREATE TABLE university (School_ID NUMBER, School CLOB, Location CLOB, Founded FLOAT, Affiliation CLOB, Enrollment FLOAT, Nickname CLOB, Primary_conference CLOB)
CREATE TABLE basketball_match (Team_ID NUMBER, School_ID NUMBER, Team_Name CLOB, ACC_Regular_Season CLOB, ACC_Percent CLOB, ACC_Home CLOB, ACC_Road CLOB, All_Games CLOB, All_Games_Percent NUMBER, All_Home CLOB, All_Road CLOB, All_Neutral CLOB)
| Create a bar chart showing all_games_percent across all neutral, I want to show bar in asc order. | SELECT All_Neutral, All_Games_Percent FROM basketball_match ORDER BY All_Neutral | SELECT "All_Neutral", "All_Games_Percent" FROM "basketball_match" ORDER BY "All_Neutral" | 0.085938 |
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 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 transfers (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, eventtype CLOB, careunit CLOB, wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
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 chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_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 labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
CREATE TABLE d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE prescriptions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, startdate TIME, enddate TIME, drug CLOB, dose_val_rx CLOB, dose_unit_rx CLOB, route CLOB)
CREATE TABLE microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
CREATE TABLE cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost 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 outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
CREATE TABLE diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
| how many medications were prescribed to patient 17505 in 05/2101? | SELECT COUNT(*) FROM prescriptions WHERE prescriptions.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 17505) AND STRFTIME('%y-%m', prescriptions.startdate) = '2101-05' | WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 17505 GROUP BY "hadm_id") SELECT COUNT(*) FROM "prescriptions" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "prescriptions"."hadm_id" WHERE NOT "_u_0"."" IS NULL AND STRFTIME('%y-%m', "prescriptions"."startdate") = '2101-05' | 0.308594 |
CREATE TABLE review (a_id NUMBER, u_id NUMBER, i_id NUMBER, rating NUMBER, rank NUMBER)
CREATE TABLE useracct (u_id NUMBER, name VARCHAR2)
CREATE TABLE trust (source_u_id NUMBER, target_u_id NUMBER, trust NUMBER)
CREATE TABLE item (i_id NUMBER, title VARCHAR2)
| Find each target user's name and average trust score Visualize by bar chart, I want to show by the x axis in ascending. | SELECT name, AVG(trust) FROM useracct AS T1 JOIN trust AS T2 ON T1.u_id = T2.target_u_id GROUP BY T2.target_u_id ORDER BY name | SELECT "name", AVG("trust") FROM "useracct" "T1" JOIN "trust" "T2" ON "T1"."u_id" = "T2"."target_u_id" GROUP BY "T2"."target_u_id" ORDER BY "name" | 0.142578 |
CREATE TABLE table_name_18 (position VARCHAR2, round VARCHAR2, name VARCHAR2)
| Akin Ayodele drafted before round 7 plays what position? | SELECT position FROM table_name_18 WHERE round < 7 AND name = "akin ayodele" | SELECT "position" FROM "table_name_18" WHERE "akin ayodele" = "name" AND "round" < 7 | 0.082031 |
CREATE TABLE flight_leg (flight_id NUMBER, leg_number NUMBER, leg_flight NUMBER)
CREATE TABLE restriction (restriction_code CLOB, advance_purchase NUMBER, stopovers CLOB, saturday_stay_required CLOB, minimum_stay NUMBER, maximum_stay NUMBER, application CLOB, no_discounts CLOB)
CREATE TABLE city (city_code VARCHAR2, city_name VARCHAR2, state_code VARCHAR2, country_name VARCHAR2, time_zone_code VARCHAR2)
CREATE TABLE food_service (meal_code CLOB, meal_number NUMBER, compartment CLOB, meal_description VARCHAR2)
CREATE TABLE fare_basis (fare_basis_code CLOB, booking_class CLOB, class_type CLOB, premium CLOB, economy CLOB, discounted CLOB, night CLOB, season CLOB, basis_days CLOB)
CREATE TABLE ground_service (city_code CLOB, airport_code CLOB, transport_type CLOB, ground_fare NUMBER)
CREATE TABLE flight_stop (flight_id NUMBER, stop_number NUMBER, stop_days CLOB, stop_airport CLOB, arrival_time NUMBER, arrival_airline CLOB, arrival_flight_number NUMBER, departure_time NUMBER, departure_airline CLOB, departure_flight_number NUMBER, stop_time NUMBER)
CREATE TABLE 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 month (month_number NUMBER, month_name CLOB)
CREATE TABLE code_description (code VARCHAR2, description CLOB)
CREATE TABLE days (days_code VARCHAR2, day_name VARCHAR2)
CREATE TABLE airline (airline_code VARCHAR2, airline_name CLOB, note CLOB)
CREATE TABLE compartment_class (compartment VARCHAR2, class_type VARCHAR2)
CREATE TABLE flight_fare (flight_id NUMBER, fare_id NUMBER)
CREATE TABLE class_of_service (booking_class VARCHAR2, rank NUMBER, class_description CLOB)
CREATE TABLE time_zone (time_zone_code CLOB, time_zone_name CLOB, hours_from_gmt NUMBER)
CREATE TABLE equipment_sequence (aircraft_code_sequence VARCHAR2, aircraft_code VARCHAR2)
CREATE TABLE dual_carrier (main_airline VARCHAR2, low_flight_number NUMBER, high_flight_number NUMBER, dual_airline VARCHAR2, service_name CLOB)
CREATE TABLE aircraft (aircraft_code VARCHAR2, aircraft_description VARCHAR2, manufacturer VARCHAR2, basic_type VARCHAR2, engines NUMBER, propulsion VARCHAR2, wide_body VARCHAR2, wing_span NUMBER, length NUMBER, weight NUMBER, capacity NUMBER, pay_load NUMBER, cruising_speed NUMBER, range_miles NUMBER, pressurized VARCHAR2)
CREATE TABLE date_day (month_number NUMBER, day_number NUMBER, year NUMBER, day_name VARCHAR2)
CREATE TABLE time_interval (period CLOB, begin_time NUMBER, end_time NUMBER)
CREATE TABLE fare (fare_id NUMBER, from_airport VARCHAR2, to_airport VARCHAR2, fare_basis_code CLOB, fare_airline CLOB, restriction_code CLOB, one_direction_cost NUMBER, round_trip_cost NUMBER, round_trip_required VARCHAR2)
CREATE TABLE airport_service (city_code VARCHAR2, airport_code VARCHAR2, miles_distant NUMBER, direction VARCHAR2, minutes_distant NUMBER)
CREATE TABLE flight (aircraft_code_sequence CLOB, airline_code VARCHAR2, airline_flight CLOB, arrival_time NUMBER, connections NUMBER, departure_time NUMBER, dual_carrier CLOB, flight_days CLOB, flight_id NUMBER, flight_number NUMBER, from_airport VARCHAR2, meal_code CLOB, stops NUMBER, time_elapsed NUMBER, to_airport VARCHAR2)
CREATE TABLE state (state_code CLOB, state_name CLOB, country_name CLOB)
| i need a flight on AC from TORONTO to SAN DIEGO with a layover in WASHINGTON | SELECT DISTINCT flight.flight_id FROM airport_service AS AIRPORT_SERVICE_0, airport_service AS AIRPORT_SERVICE_1, airport_service AS AIRPORT_SERVICE_2, city AS CITY_0, city AS CITY_1, city AS CITY_2, flight, flight_stop WHERE ((CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'SAN DIEGO' AND CITY_2.city_code = AIRPORT_SERVICE_2.city_code AND CITY_2.city_name = 'WASHINGTON' AND CITY_2.state_code = 'DC' AND flight_stop.stop_airport = AIRPORT_SERVICE_2.airport_code AND flight.flight_id = flight_stop.flight_id AND flight.to_airport = AIRPORT_SERVICE_1.airport_code) AND CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'TORONTO' AND flight.from_airport = AIRPORT_SERVICE_0.airport_code) AND flight.airline_code = 'AC' | SELECT DISTINCT "flight"."flight_id" FROM "airport_service" "AIRPORT_SERVICE_0" JOIN "city" "CITY_0" ON "AIRPORT_SERVICE_0"."city_code" = "CITY_0"."city_code" AND "CITY_0"."city_name" = 'TORONTO' JOIN "flight" ON "AIRPORT_SERVICE_0"."airport_code" = "flight"."from_airport" AND "flight"."airline_code" = 'AC' JOIN "airport_service" "AIRPORT_SERVICE_1" ON "AIRPORT_SERVICE_1"."airport_code" = "flight"."to_airport" JOIN "flight_stop" ON "flight"."flight_id" = "flight_stop"."flight_id" JOIN "airport_service" "AIRPORT_SERVICE_2" ON "AIRPORT_SERVICE_2"."airport_code" = "flight_stop"."stop_airport" JOIN "city" "CITY_1" ON "AIRPORT_SERVICE_1"."city_code" = "CITY_1"."city_code" AND "CITY_1"."city_name" = 'SAN DIEGO' JOIN "city" "CITY_2" ON "AIRPORT_SERVICE_2"."city_code" = "CITY_2"."city_code" AND "CITY_2"."city_name" = 'WASHINGTON' AND "CITY_2"."state_code" = 'DC' | 0.845703 |
CREATE TABLE table_66990 ("Riding" CLOB, "Candidate's Name" CLOB, "Gender" CLOB, "Residence" CLOB, "Occupation" CLOB, "Votes" FLOAT, "Rank" CLOB)
| where is harold j. ludwig riding when the votes are more than 484? | SELECT "Riding" FROM table_66990 WHERE "Votes" > '484' AND "Candidate's Name" = 'harold j. ludwig' | SELECT "Riding" FROM "table_66990" WHERE "Candidate's Name" = 'harold j. ludwig' AND "Votes" > '484' | 0.097656 |
CREATE TABLE table_37238 ("Round" FLOAT, "Date" CLOB, "Grand Prix" CLOB, "Circuit" CLOB, "125cc winner" CLOB, "250cc winner" CLOB, "MotoGP winner" CLOB, "Report" CLOB)
| Which MotoGP winner has a 250cc winner of marco simoncelli, and a Round of 15? | SELECT "MotoGP winner" FROM table_37238 WHERE "250cc winner" = 'marco simoncelli' AND "Round" = '15' | SELECT "MotoGP winner" FROM "table_37238" WHERE "250cc winner" = 'marco simoncelli' AND "Round" = '15' | 0.099609 |
CREATE TABLE table_14747043_1 (class_a VARCHAR2, class_aA VARCHAR2, Marion VARCHAR2)
| Which is the class A when Marion was the class AA | SELECT class_a FROM table_14747043_1 WHERE class_aA = Marion | SELECT "class_a" FROM "table_14747043_1" WHERE "Marion" = "class_aA" | 0.066406 |
CREATE TABLE table_1757 ("No. in series" FLOAT, "No. in season" FLOAT, "Title" CLOB, "Directed by" CLOB, "Written by" CLOB, "Original air date" CLOB, "U.S. viewers ( millions ) " CLOB)
| How many original air dates have U.S. Views (millions) of 19.49? | SELECT COUNT("Original air date") FROM table_1757 WHERE "U.S. viewers (millions)" = '19.49' | SELECT COUNT("Original air date") FROM "table_1757" WHERE "U.S. viewers (millions)" = '19.49' | 0.09082 |
CREATE TABLE regions (region_id NUMBER, region_name CLOB)
CREATE TABLE countries (country_id CLOB, country_name CLOB, region_id NUMBER)
CREATE TABLE job_history (employee_id NUMBER, start_date TIME, end_date TIME, job_id CLOB, department_id NUMBER)
CREATE TABLE departments (department_id NUMBER, department_name CLOB, manager_id NUMBER, location_id NUMBER)
CREATE TABLE employees (employee_id NUMBER, first_name CLOB, last_name CLOB, email CLOB, phone_number CLOB, hire_date TIME, job_id CLOB, salary NUMBER, commission_pct NUMBER, manager_id NUMBER, department_id NUMBER)
CREATE TABLE locations (location_id NUMBER, street_address CLOB, postal_code CLOB, city CLOB, state_province CLOB, country_id CLOB)
CREATE TABLE jobs (job_id CLOB, job_title CLOB, min_salary NUMBER, max_salary NUMBER)
| What are the full names and department ids for the lowest paid employees across all departments. | SELECT first_name, last_name, department_id FROM employees WHERE salary IN (SELECT MIN(salary) FROM employees GROUP BY department_id) | SELECT "first_name", "last_name", "department_id" FROM "employees" WHERE "salary" IN (SELECT MIN("salary") FROM "employees" GROUP BY "department_id") | 0.145508 |
CREATE TABLE table_name_12 (match_report VARCHAR2, date VARCHAR2)
| What is the match report of the match on 20 August? | SELECT match_report FROM table_name_12 WHERE date = "20 august" | SELECT "match_report" FROM "table_name_12" WHERE "20 august" = "date" | 0.067383 |
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 Users (Id NUMBER, Reputation NUMBER, CreationDate TIME, DisplayName CLOB, LastAccessDate TIME, WebsiteUrl CLOB, Location CLOB, AboutMe CLOB, Views NUMBER, UpVotes NUMBER, DownVotes NUMBER, ProfileImageUrl CLOB, EmailHash CLOB, AccountId NUMBER)
CREATE TABLE PostTags (PostId NUMBER, TagId NUMBER)
CREATE TABLE ReviewTaskStates (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
CREATE TABLE ReviewTaskTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment CLOB)
CREATE TABLE PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
CREATE TABLE 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 Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
CREATE TABLE ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId NUMBER)
CREATE TABLE VoteTypes (Id NUMBER, Name CLOB)
CREATE TABLE PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId NUMBER)
CREATE TABLE PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId NUMBER)
CREATE TABLE PostHistory (Id NUMBER, PostHistoryTypeId NUMBER, PostId NUMBER, RevisionGUID other, CreationDate TIME, UserId NUMBER, UserDisplayName CLOB, Comment CLOB, Text CLOB, ContentLicense CLOB)
CREATE TABLE Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
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 PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
CREATE TABLE FlagTypes (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 SuggestedEditVotes (Id NUMBER, SuggestedEditId NUMBER, UserId NUMBER, VoteTypeId NUMBER, CreationDate TIME, TargetUserId NUMBER, TargetRepChange NUMBER)
CREATE TABLE PostHistoryTypes (Id NUMBER, Name CLOB)
CREATE TABLE CloseReasonTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE CloseAsOffTopicReasonTypes (Id NUMBER, IsUniversal BOOLEAN, InputTitle CLOB, MarkdownInputGuidance CLOB, MarkdownPostOwnerGuidance CLOB, MarkdownPrivilegedUserGuidance CLOB, MarkdownConcensusDescription CLOB, CreationDate TIME, CreationModeratorId NUMBER, ApprovalDate TIME, ApprovalModeratorId NUMBER, DeactivationDate TIME, DeactivationModeratorId NUMBER)
CREATE TABLE ReviewTaskResultTypes (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 Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount NUMBER)
CREATE TABLE PostTypes (Id NUMBER, Name CLOB)
CREATE TABLE PendingFlags (Id NUMBER, FlagTypeId NUMBER, PostId NUMBER, CreationDate TIME, CloseReasonTypeId NUMBER, CloseAsOffTopicReasonTypeId NUMBER, DuplicateOfQuestionId NUMBER, BelongsOnBaseHostAddress CLOB)
| Most common mutual questioner - answerer pairs. | WITH Raw AS (SELECT Q.OwnerUserId AS QId, A.OwnerUserId AS AId, COUNT(*) AS Count FROM Posts AS Q, Posts AS A WHERE A.ParentId = Q.Id AND A.OwnerUserId > 0 AND Q.OwnerUserId > 0 AND A.OwnerUserId != Q.OwnerUserId AND Q.CommunityOwnedDate IS NULL AND A.CommunityOwnedDate IS NULL GROUP BY Q.OwnerUserId, A.OwnerUserId) SELECT Hin.QId AS "user_link", Hin.AId AS "user_link", Hin.Count AS HinCount, Her.Count AS HerCount FROM Raw AS Hin, Raw AS Her WHERE Hin.AId = Her.QId AND Hin.QId = Her.AId AND Hin.QId > Hin.AId ORDER BY CASE WHEN Hin.Count > Her.Count THEN Her.Count ELSE Hin.Count END DESC, Hin.QId, Hin.AId | WITH "Raw" AS (SELECT "Q"."OwnerUserId" AS "QId", "A"."OwnerUserId" AS "AId", COUNT(*) AS "Count" FROM "Posts" "Q" JOIN "Posts" "A" ON "A"."CommunityOwnedDate" IS NULL AND "A"."OwnerUserId" <> "Q"."OwnerUserId" AND "A"."OwnerUserId" > 0 AND "A"."ParentId" = "Q"."Id" WHERE "Q"."CommunityOwnedDate" IS NULL AND "Q"."OwnerUserId" > 0 GROUP BY "Q"."OwnerUserId", "A"."OwnerUserId") SELECT "Hin"."QId" AS "user_link", "Hin"."AId" AS "user_link", "Hin"."Count" AS "HinCount", "Her"."Count" AS "HerCount" FROM "Raw" "Hin" JOIN "Raw" "Her" ON "Her"."AId" = "Hin"."QId" AND "Her"."QId" = "Hin"."AId" WHERE "Hin"."AId" < "Hin"."QId" ORDER BY CASE WHEN "Her"."Count" < "Hin"."Count" THEN "Her"."Count" ELSE "Hin"."Count" END DESC, "Hin"."QId", "Hin"."AId" | 0.727539 |
CREATE TABLE table_204_330 (id NUMBER, "finished" CLOB, "horse" CLOB, "jockey" CLOB, "trainer" CLOB, "owner" CLOB, "time / behind" CLOB)
| name the horse that finished three spots before outbound . | SELECT "horse" FROM table_204_330 WHERE "finished" = (SELECT "finished" FROM table_204_330 WHERE "horse" = 'outbound') - 3 | SELECT "horse" FROM "table_204_330" WHERE "finished" = (SELECT "finished" FROM "table_204_330" WHERE "horse" = 'outbound') - 3 | 0.123047 |
CREATE TABLE ReviewTaskResultTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE CloseAsOffTopicReasonTypes (Id NUMBER, IsUniversal BOOLEAN, InputTitle CLOB, MarkdownInputGuidance CLOB, MarkdownPostOwnerGuidance CLOB, MarkdownPrivilegedUserGuidance CLOB, MarkdownConcensusDescription CLOB, CreationDate TIME, CreationModeratorId NUMBER, ApprovalDate TIME, ApprovalModeratorId NUMBER, DeactivationDate TIME, DeactivationModeratorId NUMBER)
CREATE TABLE PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
CREATE TABLE FlagTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
CREATE TABLE CloseReasonTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostTypes (Id NUMBER, Name CLOB)
CREATE TABLE PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
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 SuggestedEditVotes (Id NUMBER, SuggestedEditId NUMBER, UserId NUMBER, VoteTypeId NUMBER, CreationDate TIME, TargetUserId NUMBER, TargetRepChange NUMBER)
CREATE TABLE ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment CLOB)
CREATE TABLE VoteTypes (Id NUMBER, Name CLOB)
CREATE TABLE ReviewTaskStates (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PendingFlags (Id NUMBER, FlagTypeId NUMBER, PostId NUMBER, CreationDate TIME, CloseReasonTypeId NUMBER, CloseAsOffTopicReasonTypeId NUMBER, DuplicateOfQuestionId NUMBER, BelongsOnBaseHostAddress CLOB)
CREATE TABLE Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount NUMBER)
CREATE TABLE PostsWithDeleted (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE Comments (Id NUMBER, PostId NUMBER, Score NUMBER, Text CLOB, CreationDate TIME, UserDisplayName CLOB, UserId NUMBER, ContentLicense CLOB)
CREATE TABLE Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
CREATE TABLE ReviewTaskTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
CREATE TABLE PostTags (PostId NUMBER, TagId NUMBER)
CREATE TABLE PostHistory (Id NUMBER, PostHistoryTypeId NUMBER, PostId NUMBER, RevisionGUID other, CreationDate TIME, UserId NUMBER, UserDisplayName CLOB, Comment CLOB, Text CLOB, ContentLicense CLOB)
CREATE TABLE 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 PostHistoryTypes (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 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 PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId NUMBER)
CREATE TABLE ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId NUMBER)
CREATE TABLE PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId NUMBER)
| How many votes do I receive per answer?. On average, how many upvotes do I receive for each answer I give? | WITH VotesOnPosts AS (SELECT v.Id AS VoteId, p.Id AS PostId, p.PostTypeId AS PostTypeId, p.OwnerUserId AS UserId, vt.Name AS VoteTypeName FROM Votes AS v INNER JOIN Posts AS p ON v.PostId = p.Id INNER JOIN VoteTypes AS vt ON v.VoteTypeId = vt.Id), Answers AS (SELECT OwnerUserId AS UserId, Id AS PostId FROM Posts WHERE PostTypeId = 2), Counts AS (SELECT (SELECT COUNT(*) FROM VotesOnPosts WHERE VoteTypeName = 'UpMod' AND UserId = @UserID AND PostTypeId = 2) AS TotalUpVotes, (SELECT COUNT(*) FROM Answers WHERE UserId = @UserID) AS TotalAnswers) SELECT TotalUpVotes, TotalAnswers, (CAST(TotalUpVotes AS FLOAT) / TotalAnswers) AS VotesPerAnswer FROM Counts | WITH "Counts" AS (SELECT MAX(1) AS "_"), "_u_0" AS (SELECT ARRAY_AGG(1) AS "_", 2 AS "_u_1" FROM "Posts" GROUP BY 2) SELECT "TotalUpVotes", "TotalAnswers", CAST("TotalUpVotes" AS FLOAT) / NULLIF("TotalAnswers", 0) AS "VotesPerAnswer" FROM "Counts" LEFT JOIN "_u_0" "_u_0" ON "PostTypeId" = "_u_0"."_u_1" | 0.295898 |
CREATE TABLE table_16205 ("No. in series" FLOAT, "No. in season" FLOAT, "Title" CLOB, "Directed by" CLOB, "Written by" CLOB, "Original air date" CLOB)
| How many episodes were titles 'voicemail'? | SELECT COUNT("Directed by") FROM table_16205 WHERE "Title" = 'Voicemail' | SELECT COUNT("Directed by") FROM "table_16205" WHERE "Title" = 'Voicemail' | 0.072266 |
CREATE TABLE table_74789 ("Place" FLOAT, "Rider" CLOB, "Country" CLOB, "Machine" CLOB, "Speed" CLOB, "Time" CLOB, "Points" FLOAT)
| Which place has points larger than 1, a bmw machine, and a time of 1:18.47.6? | SELECT MIN("Place") FROM table_74789 WHERE "Points" > '1' AND "Machine" = 'bmw' AND "Time" = '1:18.47.6' | SELECT MIN("Place") FROM "table_74789" WHERE "Machine" = 'bmw' AND "Points" > '1' AND "Time" = '1:18.47.6' | 0.103516 |
CREATE TABLE authors (authid VARCHAR2, fname VARCHAR2, lname VARCHAR2)
CREATE TABLE papers (paperid VARCHAR2)
CREATE TABLE authorship (authid VARCHAR2, paperid VARCHAR2)
| How many papers have 'Atsushi Ohori' published? | SELECT COUNT(*) FROM authors AS t1 JOIN authorship AS t2 ON t1.authid = t2.authid JOIN papers AS t3 ON t2.paperid = t3.paperid WHERE t1.fname = "Atsushi" AND t1.lname = "Ohori" | SELECT COUNT(*) FROM "authors" "t1" JOIN "authorship" "t2" ON "t1"."authid" = "t2"."authid" JOIN "papers" "t3" ON "t2"."paperid" = "t3"."paperid" WHERE "Atsushi" = "t1"."fname" AND "Ohori" = "t1"."lname" | 0.198242 |
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