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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 inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
CREATE TABLE cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE prescriptions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, startdate TIME, enddate TIME, drug CLOB, dose_val_rx CLOB, dose_unit_rx CLOB, route CLOB)
CREATE TABLE d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
CREATE TABLE patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
CREATE TABLE labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE 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 microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
CREATE TABLE outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
CREATE TABLE 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)
| until 2104, how many patients were prescribed thiamine hcl within 2 months after they had a immobiliz/wound attn nec? | SELECT COUNT(DISTINCT t1.subject_id) FROM (SELECT admissions.subject_id, procedures_icd.charttime FROM procedures_icd JOIN admissions ON procedures_icd.hadm_id = admissions.hadm_id WHERE procedures_icd.icd9_code = (SELECT d_icd_procedures.icd9_code FROM d_icd_procedures WHERE d_icd_procedures.short_title = 'immobiliz/wound attn nec') AND STRFTIME('%y', procedures_icd.charttime) <= '2104') AS t1 JOIN (SELECT admissions.subject_id, prescriptions.startdate FROM prescriptions JOIN admissions ON prescriptions.hadm_id = admissions.hadm_id WHERE prescriptions.drug = 'thiamine hcl' AND STRFTIME('%y', prescriptions.startdate) <= '2104') AS t2 ON t1.subject_id = t2.subject_id WHERE t1.charttime < t2.startdate AND DATETIME(t2.startdate) BETWEEN DATETIME(t1.charttime) AND DATETIME(t1.charttime, '+2 month') | WITH "t2" AS (SELECT "admissions"."subject_id", "prescriptions"."startdate" FROM "prescriptions" JOIN "admissions" ON "admissions"."hadm_id" = "prescriptions"."hadm_id" WHERE "prescriptions"."drug" = 'thiamine hcl' AND STRFTIME('%y', "prescriptions"."startdate") <= '2104') SELECT COUNT(DISTINCT "admissions"."subject_id") FROM "procedures_icd" JOIN "d_icd_procedures" ON "d_icd_procedures"."icd9_code" = "procedures_icd"."icd9_code" AND "d_icd_procedures"."short_title" = 'immobiliz/wound attn nec' JOIN "admissions" ON "admissions"."hadm_id" = "procedures_icd"."hadm_id" JOIN "t2" "t2" ON "admissions"."subject_id" = "t2"."subject_id" AND "procedures_icd"."charttime" < "t2"."startdate" AND DATETIME("procedures_icd"."charttime") <= DATETIME("t2"."startdate") AND DATETIME("procedures_icd"."charttime", '+2 month') >= DATETIME("t2"."startdate") WHERE STRFTIME('%y', "procedures_icd"."charttime") <= '2104' | 0.885742 |
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
| Report the number of patients less than 71 years who had an epithelial cells lab test. | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.age < "71" AND lab.label = "Epithelial Cells" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "lab" ON "Epithelial Cells" = "lab"."label" AND "demographic"."hadm_id" = "lab"."hadm_id" WHERE "71" > "demographic"."age" | 0.191406 |
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 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 treatment (treatmentid NUMBER, patientunitstayid NUMBER, treatmentname CLOB, treatmenttime TIME)
CREATE TABLE vitalperiodic (vitalperiodicid NUMBER, patientunitstayid NUMBER, temperature NUMBER, sao2 NUMBER, heartrate NUMBER, respiration NUMBER, systemicsystolic NUMBER, systemicdiastolic NUMBER, systemicmean NUMBER, observationtime TIME)
CREATE TABLE lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime TIME)
CREATE TABLE allergy (allergyid NUMBER, patientunitstayid NUMBER, drugname CLOB, allergyname CLOB, allergytime TIME)
CREATE TABLE cost (costid NUMBER, uniquepid CLOB, patienthealthsystemstayid NUMBER, eventtype CLOB, eventid NUMBER, chargetime TIME, cost NUMBER)
| how much is the minimum total hospital cost that includes s/p surgical repair of fracture - spine since 2104? | SELECT MIN(t1.c1) FROM (SELECT SUM(cost.cost) AS c1 FROM cost WHERE cost.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.patientunitstayid IN (SELECT diagnosis.patientunitstayid FROM diagnosis WHERE diagnosis.diagnosisname = 's/p surgical repair of fracture - spine')) AND STRFTIME('%y', cost.chargetime) >= '2104' GROUP BY cost.patienthealthsystemstayid) AS t1 | WITH "_u_0" AS (SELECT "diagnosis"."patientunitstayid" FROM "diagnosis" WHERE "diagnosis"."diagnosisname" = 's/p surgical repair of fracture - spine' GROUP BY "patientunitstayid"), "_u_1" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "patient"."patientunitstayid" WHERE NOT "_u_0"."" IS NULL GROUP BY "patienthealthsystemstayid"), "t1" AS (SELECT SUM("cost"."cost") AS "c1" FROM "cost" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "cost"."patienthealthsystemstayid" WHERE NOT "_u_1"."" IS NULL AND STRFTIME('%y', "cost"."chargetime") >= '2104' GROUP BY "cost"."patienthealthsystemstayid") SELECT MIN("t1"."c1") FROM "t1" "t1" | 0.660156 |
CREATE TABLE table_2182562_1 (year VARCHAR2, winnings VARCHAR2)
| What year did the winnings equal $281,945? | SELECT year FROM table_2182562_1 WHERE winnings = "$281,945" | SELECT "year" FROM "table_2182562_1" WHERE "$281,945" = "winnings" | 0.064453 |
CREATE TABLE table_name_13 (away_team VARCHAR2)
| What is the Away team score for Away team North Melbourne? | SELECT away_team AS score FROM table_name_13 WHERE away_team = "north melbourne" | SELECT "away_team" AS "score" FROM "table_name_13" WHERE "away_team" = "north melbourne" | 0.085938 |
CREATE TABLE table_name_56 (winner VARCHAR2, tournament VARCHAR2)
| Who was the winner in the Tournament of Graz-Seiersberg? | SELECT winner FROM table_name_56 WHERE tournament = "graz-seiersberg" | SELECT "winner" FROM "table_name_56" WHERE "graz-seiersberg" = "tournament" | 0.073242 |
CREATE TABLE table_27969432_2 (directed_by VARCHAR2, written_by VARCHAR2)
| Who directed the episode written by karina csolty | SELECT directed_by FROM table_27969432_2 WHERE written_by = "Karina Csolty" | SELECT "directed_by" FROM "table_27969432_2" WHERE "Karina Csolty" = "written_by" | 0.079102 |
CREATE TABLE table_19353 ("Team" CLOB, "Average" CLOB, "Points" FLOAT, "Played" FLOAT, "1987-88" CLOB, "1988-89" CLOB, "1989-90" FLOAT)
| How many points in 89/90 for the team with 55 in 87/88? | SELECT "1989-90" FROM table_19353 WHERE "1987-88" = '55' | SELECT "1989-90" FROM "table_19353" WHERE "1987-88" = '55' | 0.056641 |
CREATE TABLE table_45768 ("Rank" FLOAT, "Name" CLOB, "Country" CLOB, "Wins" FLOAT, "Years" CLOB)
| What is richard virenque's lowest rank? | SELECT MIN("Rank") FROM table_45768 WHERE "Name" = 'richard virenque' | SELECT MIN("Rank") FROM "table_45768" WHERE "Name" = 'richard virenque' | 0.069336 |
CREATE TABLE table_52941 ("State ranked in partisan order" CLOB, "Percentage Democrats" CLOB, "Percentage Republicans" CLOB, "Democratic/ Republican" CLOB, "Democratic seat plurality" CLOB)
| What is the percentage democrats with democratic plurality of -3, and 2/5 democrat/republican? | SELECT "Percentage Democrats" FROM table_52941 WHERE "Democratic seat plurality" = '-3' AND "Democratic/ Republican" = '2/5' | SELECT "Percentage Democrats" FROM "table_52941" WHERE "Democratic seat plurality" = '-3' AND "Democratic/ Republican" = '2/5' | 0.123047 |
CREATE TABLE regions (REGION_ID NUMBER, REGION_NAME VARCHAR2)
CREATE TABLE job_history (EMPLOYEE_ID NUMBER, START_DATE DATE, END_DATE DATE, JOB_ID VARCHAR2, DEPARTMENT_ID NUMBER)
CREATE TABLE countries (COUNTRY_ID VARCHAR2, COUNTRY_NAME VARCHAR2, REGION_ID NUMBER)
CREATE TABLE departments (DEPARTMENT_ID NUMBER, DEPARTMENT_NAME VARCHAR2, MANAGER_ID NUMBER, LOCATION_ID NUMBER)
CREATE TABLE jobs (JOB_ID VARCHAR2, JOB_TITLE VARCHAR2, MIN_SALARY NUMBER, MAX_SALARY NUMBER)
CREATE TABLE employees (EMPLOYEE_ID NUMBER, FIRST_NAME VARCHAR2, LAST_NAME VARCHAR2, EMAIL VARCHAR2, PHONE_NUMBER VARCHAR2, HIRE_DATE DATE, JOB_ID VARCHAR2, SALARY NUMBER, COMMISSION_PCT NUMBER, MANAGER_ID NUMBER, DEPARTMENT_ID NUMBER)
CREATE TABLE locations (LOCATION_ID NUMBER, STREET_ADDRESS VARCHAR2, POSTAL_CODE VARCHAR2, CITY VARCHAR2, STATE_PROVINCE VARCHAR2, COUNTRY_ID VARCHAR2)
| For those employees who do not work in departments with managers that have ids between 100 and 200, show me about the distribution of phone_number and salary in a bar chart, order by the bars in asc. | SELECT PHONE_NUMBER, SALARY FROM employees WHERE NOT DEPARTMENT_ID IN (SELECT DEPARTMENT_ID FROM departments WHERE MANAGER_ID BETWEEN 100 AND 200) ORDER BY PHONE_NUMBER | SELECT "PHONE_NUMBER", "SALARY" FROM "employees" WHERE NOT "DEPARTMENT_ID" IN (SELECT "DEPARTMENT_ID" FROM "departments" WHERE "MANAGER_ID" <= 200 AND "MANAGER_ID" >= 100) ORDER BY "PHONE_NUMBER" | 0.19043 |
CREATE TABLE table_name_79 (lost NUMBER, name VARCHAR2, played VARCHAR2)
| Which Lost is the lowest one that has a Name of esc holzkirchen, and Played smaller than 14? | SELECT MIN(lost) FROM table_name_79 WHERE name = "esc holzkirchen" AND played < 14 | SELECT MIN("lost") FROM "table_name_79" WHERE "esc holzkirchen" = "name" AND "played" < 14 | 0.087891 |
CREATE TABLE transfers (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, eventtype CLOB, careunit CLOB, wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
CREATE TABLE inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount 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 d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
CREATE TABLE d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE icustays (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, first_careunit CLOB, last_careunit CLOB, first_wardid NUMBER, last_wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
CREATE TABLE admissions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, admittime TIME, dischtime TIME, admission_type CLOB, admission_location CLOB, discharge_location CLOB, insurance CLOB, language CLOB, marital_status CLOB, ethnicity CLOB, age NUMBER)
CREATE TABLE patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
CREATE TABLE cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE 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)
| what are the four most commonly conducted specimen tests since 5 years ago? | SELECT t1.spec_type_desc FROM (SELECT microbiologyevents.spec_type_desc, DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS c1 FROM microbiologyevents WHERE DATETIME(microbiologyevents.charttime) >= DATETIME(CURRENT_TIME(), '-5 year') GROUP BY microbiologyevents.spec_type_desc) AS t1 WHERE t1.c1 <= 4 | WITH "t1" AS (SELECT "microbiologyevents"."spec_type_desc", DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS "c1" FROM "microbiologyevents" WHERE DATETIME("microbiologyevents"."charttime") >= DATETIME(CURRENT_TIME(), '-5 year') GROUP BY "microbiologyevents"."spec_type_desc") SELECT "t1"."spec_type_desc" FROM "t1" "t1" WHERE "t1"."c1" <= 4 | 0.329102 |
CREATE TABLE table_64330 ("Year" FLOAT, "1st Place Team" CLOB, "2nd Place Team" CLOB, "3rd Place Team" CLOB, "4th Place Team" CLOB, "Host Location" CLOB)
| What location hosted when the National Cash Register, Dayton, Oh was in 4th place in 1957? | SELECT "Host Location" FROM table_64330 WHERE "4th Place Team" = 'national cash register, dayton, oh' AND "Year" = '1957' | SELECT "Host Location" FROM "table_64330" WHERE "4th Place Team" = 'national cash register, dayton, oh' AND "Year" = '1957' | 0.120117 |
CREATE TABLE table_75042 ("Outcome" CLOB, "Event" CLOB, "Year" CLOB, "Venue" CLOB, "Opponent in the final" CLOB)
| What is the Outcome of the Singles Event in London, England? | SELECT "Outcome" FROM table_75042 WHERE "Event" = 'singles' AND "Venue" = 'london, england' | SELECT "Outcome" FROM "table_75042" WHERE "Event" = 'singles' AND "Venue" = 'london, england' | 0.09082 |
CREATE TABLE table_name_92 (rank NUMBER, nationality VARCHAR2, lane VARCHAR2)
| what is the lowest rank for the netherlands in lane less than 4? | SELECT MIN(rank) FROM table_name_92 WHERE nationality = "netherlands" AND lane < 4 | SELECT MIN("rank") FROM "table_name_92" WHERE "lane" < 4 AND "nationality" = "netherlands" | 0.087891 |
CREATE TABLE table_203_131 (id NUMBER, "pos." NUMBER, "car #" NUMBER, "driver" CLOB, "make" CLOB, "team" CLOB)
| how many chevrolets finished in the top ten ? | SELECT COUNT(*) FROM table_203_131 WHERE "make" = 'chevrolet' | SELECT COUNT(*) FROM "table_203_131" WHERE "make" = 'chevrolet' | 0.061523 |
CREATE TABLE table_79355 ("Tie no" CLOB, "Home team" CLOB, "Score" CLOB, "Away team" CLOB, "Date" CLOB)
| What is the score for the date of 16 december 1978, with a tie no of 9? | SELECT "Score" FROM table_79355 WHERE "Date" = '16 december 1978' AND "Tie no" = '9' | SELECT "Score" FROM "table_79355" WHERE "Date" = '16 december 1978' AND "Tie no" = '9' | 0.083984 |
CREATE TABLE ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
CREATE TABLE ReviewTaskResultTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Users (Id NUMBER, Reputation NUMBER, CreationDate TIME, DisplayName CLOB, LastAccessDate TIME, WebsiteUrl CLOB, Location CLOB, AboutMe CLOB, Views NUMBER, UpVotes NUMBER, DownVotes NUMBER, ProfileImageUrl CLOB, EmailHash CLOB, AccountId NUMBER)
CREATE TABLE ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment CLOB)
CREATE TABLE SuggestedEdits (Id NUMBER, PostId NUMBER, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId NUMBER, Comment CLOB, Text CLOB, Title CLOB, Tags CLOB, RevisionGUID other)
CREATE TABLE PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId NUMBER)
CREATE TABLE PendingFlags (Id NUMBER, FlagTypeId NUMBER, PostId NUMBER, CreationDate TIME, CloseReasonTypeId NUMBER, CloseAsOffTopicReasonTypeId NUMBER, DuplicateOfQuestionId NUMBER, BelongsOnBaseHostAddress CLOB)
CREATE TABLE Posts (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE VoteTypes (Id NUMBER, Name CLOB)
CREATE TABLE PostTypes (Id NUMBER, Name CLOB)
CREATE TABLE TagSynonyms (Id NUMBER, SourceTagName CLOB, TargetTagName CLOB, CreationDate TIME, OwnerUserId NUMBER, AutoRenameCount NUMBER, LastAutoRename TIME, Score NUMBER, ApprovedByUserId NUMBER, ApprovalDate TIME)
CREATE TABLE PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
CREATE TABLE CloseReasonTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE ReviewTaskTypes (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 PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
CREATE TABLE PostHistoryTypes (Id NUMBER, Name 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 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 CloseAsOffTopicReasonTypes (Id NUMBER, IsUniversal BOOLEAN, InputTitle CLOB, MarkdownInputGuidance CLOB, MarkdownPostOwnerGuidance CLOB, MarkdownPrivilegedUserGuidance CLOB, MarkdownConcensusDescription CLOB, CreationDate TIME, CreationModeratorId NUMBER, ApprovalDate TIME, ApprovalModeratorId NUMBER, DeactivationDate TIME, DeactivationModeratorId NUMBER)
CREATE TABLE Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
CREATE TABLE Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
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 Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount NUMBER)
CREATE TABLE ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId NUMBER)
CREATE TABLE PostTags (PostId NUMBER, TagId NUMBER)
CREATE TABLE SuggestedEditVotes (Id NUMBER, SuggestedEditId NUMBER, UserId NUMBER, VoteTypeId NUMBER, CreationDate TIME, TargetUserId NUMBER, TargetRepChange NUMBER)
CREATE TABLE ReviewTaskStates (Id NUMBER, Name CLOB, Description CLOB)
| My 50 Highest Rated Accepted Answers. | SELECT p.Id AS "post_link", COALESCE(p.LastEditDate, p.CreationDate) AS MostRecentChange, (SELECT COUNT(v.Id) FROM Votes AS v INNER JOIN VoteTypes AS vt ON v.VoteTypeId = vt.Id WHERE vt.Name = 'UpMod' AND v.PostId = p.Id) AS UpVotes, (SELECT COUNT(v.Id) FROM Votes AS v INNER JOIN VoteTypes AS vt ON v.VoteTypeId = vt.Id WHERE vt.Name = 'DownMod' AND v.PostId = p.Id) AS DownVotes, p.Score FROM Posts AS p INNER JOIN PostTypes AS pt ON pt.Id = p.PostTypeId INNER JOIN Posts AS p2 ON p.ParentId = p2.Id WHERE pt.Name = 'Answer' AND p.OwnerUserId = @UserId AND p.Id = p2.AcceptedAnswerId ORDER BY p.Score DESC, p.LastEditDate DESC LIMIT 50 | WITH "_u_0" AS (SELECT COUNT("v"."Id"), "v"."PostId" AS "_u_1" FROM "Votes" "v" JOIN "VoteTypes" "vt" ON "v"."VoteTypeId" = "vt"."Id" AND "vt"."Name" = 'UpMod' GROUP BY "v"."PostId"), "_u_2" AS (SELECT COUNT("v"."Id"), "v"."PostId" AS "_u_3" FROM "Votes" "v" JOIN "VoteTypes" "vt" ON "v"."VoteTypeId" = "vt"."Id" AND "vt"."Name" = 'DownMod' GROUP BY "v"."PostId") SELECT "p"."Id" AS "post_link", COALESCE("p"."LastEditDate", "p"."CreationDate") AS "MostRecentChange", COALESCE("_u_0"."", "v"."Id") AS "UpVotes", COALESCE("_u_2"."", "v"."Id") AS "DownVotes", "p"."Score" FROM "Posts" "p" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."_u_1" = "p"."Id" LEFT JOIN "_u_2" "_u_2" ON "_u_2"."_u_3" = "p"."Id" JOIN "Posts" "p2" ON "p"."Id" = "p2"."AcceptedAnswerId" AND "p"."ParentId" = "p2"."Id" JOIN "PostTypes" "pt" ON "p"."PostTypeId" = "pt"."Id" AND "pt"."Name" = 'Answer' WHERE "p"."OwnerUserId" = @UserId ORDER BY "p"."Score" DESC, "p"."LastEditDate" DESC FETCH FIRST 50 ROWS ONLY | 0.945313 |
CREATE TABLE table_14169 ("Model number" CLOB, "sSpec number" CLOB, "Cores" CLOB, "Frequency" CLOB, "Turbo" CLOB, "L2 cache" CLOB, "L3 cache" CLOB, "GPU model" CLOB, "GPU frequency" CLOB, "Socket" CLOB, "I/O bus" CLOB, "Release date" CLOB, "Release price ( USD ) " CLOB)
| What is the model number with a release price of $303, and a sSpec number of sr14q(c0)? | SELECT "Model number" FROM table_14169 WHERE "Release price ( USD )" = '$303' AND "sSpec number" = 'sr14q(c0)' | SELECT "Model number" FROM "table_14169" WHERE "Release price ( USD )" = '$303' AND "sSpec number" = 'sr14q(c0)' | 0.109375 |
CREATE TABLE requirement (requirement_id NUMBER, requirement VARCHAR2, college VARCHAR2)
CREATE TABLE offering_instructor (offering_instructor_id NUMBER, offering_id NUMBER, instructor_id NUMBER)
CREATE TABLE program_requirement (program_id NUMBER, category VARCHAR2, min_credit NUMBER, additional_req VARCHAR2)
CREATE TABLE comment_instructor (instructor_id NUMBER, student_id NUMBER, score NUMBER, comment_text VARCHAR2)
CREATE TABLE course_tags_count (course_id NUMBER, clear_grading NUMBER, pop_quiz NUMBER, group_projects NUMBER, inspirational NUMBER, long_lectures NUMBER, extra_credit NUMBER, few_tests NUMBER, good_feedback NUMBER, tough_tests NUMBER, heavy_papers NUMBER, cares_for_students NUMBER, heavy_assignments NUMBER, respected NUMBER, participation NUMBER, heavy_reading NUMBER, tough_grader NUMBER, hilarious NUMBER, would_take_again NUMBER, good_lecture NUMBER, no_skip NUMBER)
CREATE TABLE student_record (student_id NUMBER, course_id NUMBER, semester NUMBER, grade VARCHAR2, how VARCHAR2, transfer_source VARCHAR2, earn_credit VARCHAR2, repeat_term VARCHAR2, test_id VARCHAR2)
CREATE TABLE student (student_id NUMBER, lastname VARCHAR2, firstname VARCHAR2, program_id NUMBER, declare_major VARCHAR2, total_credit NUMBER, total_gpa FLOAT, entered_as VARCHAR2, admit_term NUMBER, predicted_graduation_semester NUMBER, degree VARCHAR2, minor VARCHAR2, internship VARCHAR2)
CREATE TABLE ta (campus_job_id NUMBER, student_id NUMBER, location VARCHAR2)
CREATE TABLE course (course_id NUMBER, name VARCHAR2, department VARCHAR2, number VARCHAR2, credits VARCHAR2, advisory_requirement VARCHAR2, enforced_requirement VARCHAR2, description VARCHAR2, num_semesters NUMBER, num_enrolled NUMBER, has_discussion VARCHAR2, has_lab VARCHAR2, has_projects VARCHAR2, has_exams VARCHAR2, num_reviews NUMBER, clarity_score NUMBER, easiness_score NUMBER, helpfulness_score NUMBER)
CREATE TABLE gsi (course_offering_id NUMBER, student_id NUMBER)
CREATE TABLE course_offering (offering_id NUMBER, course_id NUMBER, semester NUMBER, section_number NUMBER, start_time TIME, end_time TIME, monday VARCHAR2, tuesday VARCHAR2, wednesday VARCHAR2, thursday VARCHAR2, friday VARCHAR2, saturday VARCHAR2, sunday VARCHAR2, has_final_project VARCHAR2, has_final_exam VARCHAR2, textbook VARCHAR2, class_address VARCHAR2, allow_audit VARCHAR2)
CREATE TABLE course_prerequisite (pre_course_id NUMBER, course_id NUMBER)
CREATE TABLE area (course_id NUMBER, area VARCHAR2)
CREATE TABLE instructor (instructor_id NUMBER, name VARCHAR2, uniqname VARCHAR2)
CREATE TABLE jobs (job_id NUMBER, job_title VARCHAR2, description VARCHAR2, requirement VARCHAR2, city VARCHAR2, state VARCHAR2, country VARCHAR2, zip NUMBER)
CREATE TABLE program (program_id NUMBER, name VARCHAR2, college VARCHAR2, introduction VARCHAR2)
CREATE TABLE semester (semester_id NUMBER, semester VARCHAR2, year NUMBER)
CREATE TABLE program_course (program_id NUMBER, course_id NUMBER, workload NUMBER, category VARCHAR2)
| Lempert teaches which upper level courses ? | SELECT DISTINCT course.department, course.name, course.number FROM course INNER JOIN course_offering ON course.course_id = course_offering.course_id INNER JOIN offering_instructor ON offering_instructor.offering_id = course_offering.offering_id INNER JOIN instructor ON offering_instructor.instructor_id = instructor.instructor_id INNER JOIN program_course ON program_course.course_id = course.course_id WHERE instructor.name LIKE '%Lempert%' AND program_course.category LIKE 'ULCS' | SELECT DISTINCT "course"."department", "course"."name", "course"."number" FROM "course" JOIN "course_offering" ON "course"."course_id" = "course_offering"."course_id" JOIN "program_course" ON "course"."course_id" = "program_course"."course_id" AND "program_course"."category" LIKE 'ULCS' JOIN "offering_instructor" ON "course_offering"."offering_id" = "offering_instructor"."offering_id" JOIN "instructor" ON "instructor"."instructor_id" = "offering_instructor"."instructor_id" AND "instructor"."name" LIKE '%Lempert%' | 0.505859 |
CREATE TABLE table_46059 ("Fin. Pos" CLOB, "Car No." CLOB, "Driver" CLOB, "Team" CLOB, "Laps" CLOB, "Time/Retired" CLOB, "Grid" CLOB, "Laps Led" CLOB, "Points" CLOB)
| What car number had 24 points? | SELECT "Car No." FROM table_46059 WHERE "Points" = '24' | SELECT "Car No." FROM "table_46059" WHERE "Points" = '24' | 0.055664 |
CREATE TABLE table_25863 ("Game" FLOAT, "Date" CLOB, "Team" CLOB, "Score" CLOB, "High points" CLOB, "High rebounds" CLOB, "High assists" CLOB, "Location Attendance" CLOB, "Record" CLOB)
| What was the score for the game against Houston? | SELECT "Score" FROM table_25863 WHERE "Team" = 'Houston' | SELECT "Score" FROM "table_25863" WHERE "Team" = 'Houston' | 0.056641 |
CREATE TABLE table_13983 ("Draw" FLOAT, "Language" CLOB, "Artist" CLOB, "Song" CLOB, "English translation" CLOB, "Place" FLOAT, "Points" FLOAT)
| Where is Croatian spoken? | SELECT "Place" FROM table_13983 WHERE "Language" = 'croatian' | SELECT "Place" FROM "table_13983" WHERE "Language" = 'croatian' | 0.061523 |
CREATE TABLE table_name_62 (country VARCHAR2, money__$_ VARCHAR2)
| What country is the player who earned $9,000 from? | SELECT country FROM table_name_62 WHERE money__$_ = "9,000" | SELECT "country" FROM "table_name_62" WHERE "9,000" = "money__$_" | 0.063477 |
CREATE TABLE table_44722 ("Date" CLOB, "Time" CLOB, "Score" CLOB, "Set 1" CLOB, "Set 2" CLOB, "Set 3" CLOB, "Total" CLOB)
| What was the score for set 3 when set 1 was 14 25? | SELECT "Set 3" FROM table_44722 WHERE "Set 1" = '14–25' | SELECT "Set 3" FROM "table_44722" WHERE "Set 1" = '14–25' | 0.055664 |
CREATE TABLE table_24919 ("School" CLOB, "Location" CLOB, "Team Name" CLOB, "Colors" CLOB, "Varsity Teams" FLOAT, "NJCAA Championships" FLOAT)
| If the varsity team is 6, what is the location? | SELECT "Location" FROM table_24919 WHERE "Varsity Teams" = '6' | SELECT "Location" FROM "table_24919" WHERE "Varsity Teams" = '6' | 0.0625 |
CREATE TABLE ship (ship_id NUMBER, name CLOB, type CLOB, nationality CLOB, tonnage NUMBER)
CREATE TABLE mission (mission_id NUMBER, ship_id NUMBER, code CLOB, launched_year NUMBER, location CLOB, speed_knots NUMBER, fate CLOB)
| Show codes and fates of missions, and names of ships involved. | SELECT T1.code, T1.fate, T2.name FROM mission AS T1 JOIN ship AS T2 ON T1.ship_id = T2.ship_id | SELECT "T1"."code", "T1"."fate", "T2"."name" FROM "mission" "T1" JOIN "ship" "T2" ON "T1"."ship_id" = "T2"."ship_id" | 0.113281 |
CREATE TABLE technician (Starting_Year VARCHAR2, Age VARCHAR2)
| What is the starting year of the oldest technicians? | SELECT Starting_Year FROM technician ORDER BY Age DESC LIMIT 1 | SELECT "Starting_Year" FROM "technician" ORDER BY "Age" DESC FETCH FIRST 1 ROWS ONLY | 0.082031 |
CREATE TABLE table_20967430_3 (written_by VARCHAR2, season VARCHAR2)
| When it is season 10 who are the writers? | SELECT written_by FROM table_20967430_3 WHERE season = 10 | SELECT "written_by" FROM "table_20967430_3" WHERE "season" = 10 | 0.061523 |
CREATE TABLE table_name_24 (rank NUMBER, silver VARCHAR2, bronze VARCHAR2)
| What is the Rank of the Nation with 0 Silver and more than 1 Bronze? | SELECT MAX(rank) FROM table_name_24 WHERE silver < 1 AND bronze > 1 | SELECT MAX("rank") FROM "table_name_24" WHERE "bronze" > 1 AND "silver" < 1 | 0.073242 |
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 prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
| what is the number of patients whose admission year is less than 2146 and diagnoses icd9 code is 3004? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.admityear < "2146" AND diagnoses.icd9_code = "3004" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "3004" = "diagnoses"."icd9_code" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" WHERE "2146" > "demographic"."admityear" | 0.208984 |
CREATE TABLE table_22380 ("Species" CLOB, "Common name" CLOB, "Trinidad" CLOB, "Tobago" CLOB, "Bocas Is." CLOB, "Other" CLOB)
| Name the trinidad for yellow-bellied puffing snake | SELECT "Trinidad" FROM table_22380 WHERE "Common name" = 'Yellow-bellied puffing snake' | SELECT "Trinidad" FROM "table_22380" WHERE "Common name" = 'Yellow-bellied puffing snake' | 0.086914 |
CREATE TABLE table_204_352 (id NUMBER, "pos" CLOB, "no" NUMBER, "rider" CLOB, "manufacturer" CLOB, "laps" NUMBER, "time" CLOB, "grid" NUMBER, "points" NUMBER)
| what is the total number of laps performed by rider imre toth ? | SELECT "laps" FROM table_204_352 WHERE "rider" = 'imre toth' | SELECT "laps" FROM "table_204_352" WHERE "rider" = 'imre toth' | 0.060547 |
CREATE TABLE allergy (allergyid NUMBER, patientunitstayid NUMBER, drugname CLOB, allergyname CLOB, allergytime TIME)
CREATE TABLE treatment (treatmentid NUMBER, patientunitstayid NUMBER, treatmentname CLOB, treatmenttime TIME)
CREATE TABLE cost (costid NUMBER, uniquepid CLOB, patienthealthsystemstayid NUMBER, eventtype CLOB, eventid NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE patient (uniquepid CLOB, patienthealthsystemstayid NUMBER, patientunitstayid NUMBER, gender CLOB, age CLOB, ethnicity CLOB, hospitalid NUMBER, wardid NUMBER, admissionheight NUMBER, admissionweight NUMBER, dischargeweight NUMBER, hospitaladmittime TIME, hospitaladmitsource CLOB, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus CLOB)
CREATE TABLE 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 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 microlab (microlabid NUMBER, patientunitstayid NUMBER, culturesite CLOB, organism CLOB, culturetakentime TIME)
CREATE TABLE vitalperiodic (vitalperiodicid NUMBER, patientunitstayid NUMBER, temperature NUMBER, sao2 NUMBER, heartrate NUMBER, respiration NUMBER, systemicsystolic NUMBER, systemicdiastolic NUMBER, systemicmean NUMBER, observationtime TIME)
| calculate the number of patients who have received a laboratory test for t3 since 5 years ago. | SELECT COUNT(DISTINCT patient.uniquepid) FROM patient WHERE patient.patientunitstayid IN (SELECT lab.patientunitstayid FROM lab WHERE lab.labname = 't3' AND DATETIME(lab.labresulttime) >= DATETIME(CURRENT_TIME(), '-5 year')) | WITH "_u_0" AS (SELECT "lab"."patientunitstayid" FROM "lab" WHERE "lab"."labname" = 't3' AND DATETIME("lab"."labresulttime") >= DATETIME(CURRENT_TIME(), '-5 year') GROUP BY "patientunitstayid") SELECT COUNT(DISTINCT "patient"."uniquepid") FROM "patient" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "patient"."patientunitstayid" WHERE NOT "_u_0"."" IS NULL | 0.341797 |
CREATE TABLE Ref_Address_Types (address_type_code VARCHAR2, address_type_description VARCHAR2)
CREATE TABLE Students (student_id NUMBER, address_id NUMBER, first_name VARCHAR2, middle_name VARCHAR2, last_name VARCHAR2, cell_mobile_number VARCHAR2, email_address VARCHAR2, date_first_rental DATETIME, date_left_university DATETIME, other_student_details VARCHAR2)
CREATE TABLE Detention (detention_id NUMBER, detention_type_code VARCHAR2, teacher_id NUMBER, datetime_detention_start DATETIME, datetime_detention_end DATETIME, detention_summary VARCHAR2, other_details VARCHAR2)
CREATE TABLE Assessment_Notes (notes_id NUMBER, student_id NUMBER, teacher_id NUMBER, date_of_notes DATETIME, text_of_notes VARCHAR2, other_details VARCHAR2)
CREATE TABLE Students_in_Detention (student_id NUMBER, detention_id NUMBER, incident_id NUMBER)
CREATE TABLE Ref_Incident_Type (incident_type_code VARCHAR2, incident_type_description VARCHAR2)
CREATE TABLE Addresses (address_id NUMBER, line_1 VARCHAR2, line_2 VARCHAR2, line_3 VARCHAR2, city VARCHAR2, zip_postcode VARCHAR2, state_province_county VARCHAR2, country VARCHAR2, other_address_details VARCHAR2)
CREATE TABLE Behavior_Incident (incident_id NUMBER, incident_type_code VARCHAR2, student_id NUMBER, date_incident_start DATETIME, date_incident_end DATETIME, incident_summary VARCHAR2, recommendations VARCHAR2, other_details VARCHAR2)
CREATE TABLE Student_Addresses (student_id NUMBER, address_id NUMBER, date_address_from DATETIME, date_address_to DATETIME, monthly_rental NUMBER, other_details VARCHAR2)
CREATE TABLE Ref_Detention_Type (detention_type_code VARCHAR2, detention_type_description VARCHAR2)
CREATE TABLE Teachers (teacher_id NUMBER, address_id NUMBER, first_name VARCHAR2, middle_name VARCHAR2, last_name VARCHAR2, gender VARCHAR2, cell_mobile_number VARCHAR2, email_address VARCHAR2, other_details VARCHAR2)
| Visualize a bar chart about the distribution of date_address_to and the average of monthly_rental , and group by attribute other_details and bin date_address_to by weekday. | SELECT date_address_to, AVG(monthly_rental) FROM Student_Addresses GROUP BY other_details ORDER BY monthly_rental DESC | SELECT "date_address_to", AVG("monthly_rental") FROM "Student_Addresses" GROUP BY "other_details" ORDER BY "monthly_rental" DESC | 0.125 |
CREATE TABLE table_26615 ("Week" FLOAT, "Date" CLOB, "Opponent" CLOB, "Location" CLOB, "Final Score" CLOB, "Attendance" FLOAT, "Record" CLOB)
| Name the date for l 28 15 | SELECT "Date" FROM table_26615 WHERE "Final Score" = 'L 28–15' | SELECT "Date" FROM "table_26615" WHERE "Final Score" = 'L 28–15' | 0.0625 |
CREATE TABLE table_20277 ("Name" CLOB, "Overs Bowled" CLOB, "Maidens" FLOAT, "Runs Conceded" FLOAT, "Wickets" FLOAT, "Extras" FLOAT, "E.R." CLOB)
| Name the least runs conceded for brett lee | SELECT MIN("Runs Conceded") FROM table_20277 WHERE "Name" = 'Brett Lee' | SELECT MIN("Runs Conceded") FROM "table_20277" WHERE "Name" = 'Brett Lee' | 0.071289 |
CREATE TABLE table_16060 ("Round" FLOAT, "Choice" FLOAT, "Overall" FLOAT, "Player name" CLOB, "Position" CLOB, "College" CLOB)
| Overall pick 240 was a pick in which round? | SELECT "Round" FROM table_16060 WHERE "Overall" = '240' | SELECT "Round" FROM "table_16060" WHERE "Overall" = '240' | 0.055664 |
CREATE TABLE Tryout (pID NUMBER, cName VARCHAR2, pPos VARCHAR2, decision VARCHAR2)
CREATE TABLE College (cName VARCHAR2, state VARCHAR2, enr NUMBER)
CREATE TABLE Player (pID NUMBER, pName VARCHAR2, yCard VARCHAR2, HS NUMBER)
| What is the state and enrollment of the colleges where have any students who got accepted in the tryout decision. Show a pie chart. | SELECT state, enr FROM College AS T1 JOIN Tryout AS T2 ON T1.cName = T2.cName WHERE T2.decision = 'yes' | SELECT "state", "enr" FROM "College" "T1" JOIN "Tryout" "T2" ON "T1"."cName" = "T2"."cName" AND "T2"."decision" = 'yes' | 0.116211 |
CREATE TABLE table_name_76 (voltage_center__v_ VARCHAR2, s_spec_number VARCHAR2)
| Which Voltage Center (V) has an S-Spec Number of sk096? | SELECT voltage_center__v_ FROM table_name_76 WHERE s_spec_number = "sk096" | SELECT "voltage_center__v_" FROM "table_name_76" WHERE "s_spec_number" = "sk096" | 0.078125 |
CREATE TABLE player (Player_ID NUMBER, Sponsor_name CLOB, Player_name CLOB, Gender CLOB, Residence CLOB, Occupation CLOB, Votes NUMBER, Rank CLOB)
CREATE TABLE coach (Coach_ID NUMBER, Coach_name CLOB, Gender CLOB, Club_ID NUMBER, Rank NUMBER)
CREATE TABLE club (Club_ID NUMBER, Club_name CLOB, Region CLOB, Start_year NUMBER)
CREATE TABLE match_result (Rank NUMBER, Club_ID NUMBER, Gold NUMBER, Big_Silver NUMBER, Small_Silver NUMBER, Bronze NUMBER, Points NUMBER)
CREATE TABLE player_coach (Player_ID NUMBER, Coach_ID NUMBER, Starting_year NUMBER)
| Bar chart x axis occupation y axis how many occupation | SELECT Occupation, COUNT(Occupation) FROM player GROUP BY Occupation | SELECT "Occupation", COUNT("Occupation") FROM "player" GROUP BY "Occupation" | 0.074219 |
CREATE TABLE table_13399 ("2012" FLOAT, "2011" FLOAT, "2010" FLOAT, "2009" FLOAT, "2008" FLOAT)
| Which 2012 has a 2009 smaller than 3.38? | SELECT AVG("2012") FROM table_13399 WHERE "2009" < '3.38' | SELECT AVG("2012") FROM "table_13399" WHERE "2009" < '3.38' | 0.057617 |
CREATE TABLE table_42372 ("Name" CLOB, "Novelty" CLOB, "Status" CLOB, "Authors" CLOB, "Location" CLOB)
| What is the status of Prenocephale? | SELECT "Status" FROM table_42372 WHERE "Name" = 'prenocephale' | SELECT "Status" FROM "table_42372" WHERE "Name" = 'prenocephale' | 0.0625 |
CREATE TABLE table_820 ("Year" FLOAT, "Winner" CLOB, "Language" CLOB, "Artist" CLOB, "Song" CLOB, "Points" FLOAT, "Margin" FLOAT, "Second place" CLOB, "Date" CLOB, "Venue" CLOB, "Location" CLOB, "Participants" FLOAT)
| how many locations has spain as the winner? | SELECT COUNT("Location") FROM table_820 WHERE "Winner" = 'Spain' | SELECT COUNT("Location") FROM "table_820" WHERE "Winner" = 'Spain' | 0.064453 |
CREATE TABLE table_16425614_3 (english_title VARCHAR2, official__number VARCHAR2)
| What is the English title for the official number 22 episode? | SELECT english_title FROM table_16425614_3 WHERE official__number = 22 | SELECT "english_title" FROM "table_16425614_3" WHERE "official__number" = 22 | 0.074219 |
CREATE TABLE diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
CREATE TABLE 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 icustays (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, first_careunit CLOB, last_careunit CLOB, first_wardid NUMBER, last_wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE 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 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 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 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_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
| tell me the first glucose in patient 40435 in 12/2105? | SELECT labevents.valuenum FROM labevents WHERE labevents.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 40435) AND labevents.itemid IN (SELECT d_labitems.itemid FROM d_labitems WHERE d_labitems.label = 'glucose') AND STRFTIME('%y-%m', labevents.charttime) = '2105-12' ORDER BY labevents.charttime LIMIT 1 | WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 40435 GROUP BY "hadm_id"), "_u_1" AS (SELECT "d_labitems"."itemid" FROM "d_labitems" WHERE "d_labitems"."label" = 'glucose' GROUP BY "itemid") SELECT "labevents"."valuenum" FROM "labevents" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "labevents"."hadm_id" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "labevents"."itemid" WHERE NOT "_u_0"."" IS NULL AND NOT "_u_1"."" IS NULL AND STRFTIME('%y-%m', "labevents"."charttime") = '2105-12' ORDER BY "labevents"."charttime" FETCH FIRST 1 ROWS ONLY | 0.564453 |
CREATE TABLE table_63039 ("Week" FLOAT, "Date" CLOB, "Opponent" CLOB, "Result" CLOB, "Attendance" FLOAT)
| What is the lowest attendance that has l 42-35 as the result, with a week less than 13? | SELECT MIN("Attendance") FROM table_63039 WHERE "Result" = 'l 42-35' AND "Week" < '13' | SELECT MIN("Attendance") FROM "table_63039" WHERE "Result" = 'l 42-35' AND "Week" < '13' | 0.085938 |
CREATE TABLE table_40466 ("Rank by average" CLOB, "Place" CLOB, "Perfect 40s" CLOB, "Total" CLOB, "Number of dances" CLOB, "Season" CLOB, "Average" CLOB)
| What rank by average has 1 dance on season 9? | SELECT "Rank by average" FROM table_40466 WHERE "Number of dances" = '1' AND "Season" = '9' | SELECT "Rank by average" FROM "table_40466" WHERE "Number of dances" = '1' AND "Season" = '9' | 0.09082 |
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)
| A scatter chart shows the correlation between School_ID and All_Games_Percent , and group by attribute ACC_Home. | SELECT School_ID, All_Games_Percent FROM basketball_match GROUP BY ACC_Home | SELECT "School_ID", "All_Games_Percent" FROM "basketball_match" GROUP BY "ACC_Home" | 0.081055 |
CREATE TABLE medicine (id NUMBER, name CLOB, Trade_Name CLOB, FDA_approved CLOB)
CREATE TABLE enzyme (id NUMBER, name CLOB, Location CLOB, Product CLOB, Chromosome CLOB, OMIM NUMBER, Porphyria CLOB)
CREATE TABLE medicine_enzyme_interaction (enzyme_id NUMBER, medicine_id NUMBER, interaction_type CLOB)
| Show me a bar chart for what is the id and trade name of the medicines can interact with at least 3 enzymes?, and I want to show by the x axis from high to low. | SELECT Trade_Name, id FROM medicine AS T1 JOIN medicine_enzyme_interaction AS T2 ON T2.medicine_id = T1.id ORDER BY Trade_Name DESC | SELECT "Trade_Name", "id" FROM "medicine" "T1" JOIN "medicine_enzyme_interaction" "T2" ON "T1"."id" = "T2"."medicine_id" ORDER BY "Trade_Name" DESC | 0.143555 |
CREATE TABLE table_203_452 (id NUMBER, "pos" NUMBER, "no" NUMBER, "driver" CLOB, "team" CLOB, "laps" NUMBER, "time/retired" CLOB, "grid" NUMBER, "points" NUMBER)
| who finished after will power ? | SELECT "driver" FROM table_203_452 WHERE "pos" = (SELECT "pos" FROM table_203_452 WHERE "driver" = 'will power') + 1 | SELECT "driver" FROM "table_203_452" WHERE "pos" = (SELECT "pos" FROM "table_203_452" WHERE "driver" = 'will power') + 1 | 0.117188 |
CREATE TABLE table_59407 ("Year" FLOAT, "Gold" CLOB, "Silver" CLOB, "Bronze" CLOB, "Notes" CLOB)
| What are 2004's notes? | SELECT "Notes" FROM table_59407 WHERE "Year" = '2004' | SELECT "Notes" FROM "table_59407" WHERE "Year" = '2004' | 0.053711 |
CREATE TABLE table_name_54 (media_market_ranking VARCHAR2, metropolitan_area VARCHAR2)
| What is the media market ranking for new york, new york? | SELECT media_market_ranking FROM table_name_54 WHERE metropolitan_area = "new york, new york" | SELECT "media_market_ranking" FROM "table_name_54" WHERE "metropolitan_area" = "new york, new york" | 0.09668 |
CREATE TABLE Products (Code NUMBER, Name VARCHAR2, Price NUMBER, Manufacturer NUMBER)
CREATE TABLE Manufacturers (Code NUMBER, Name VARCHAR2, Headquarter VARCHAR2, Founder VARCHAR2, Revenue FLOAT)
| For those products with a price between 60 and 120, visualize a scatter chart about the correlation between code and manufacturer . | SELECT Code, Manufacturer FROM Products WHERE Price BETWEEN 60 AND 120 | SELECT "Code", "Manufacturer" FROM "Products" WHERE "Price" <= 120 AND "Price" >= 60 | 0.082031 |
CREATE TABLE medication (medicationid NUMBER, patientunitstayid NUMBER, drugname CLOB, dosage CLOB, routeadmin CLOB, drugstarttime TIME, drugstoptime 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 allergy (allergyid NUMBER, patientunitstayid NUMBER, drugname CLOB, allergyname CLOB, allergytime TIME)
CREATE TABLE vitalperiodic (vitalperiodicid NUMBER, patientunitstayid NUMBER, temperature NUMBER, sao2 NUMBER, heartrate NUMBER, respiration NUMBER, systemicsystolic NUMBER, systemicdiastolic NUMBER, systemicmean NUMBER, observationtime TIME)
CREATE TABLE treatment (treatmentid NUMBER, patientunitstayid NUMBER, treatmentname CLOB, treatmenttime TIME)
CREATE TABLE cost (costid NUMBER, uniquepid CLOB, patienthealthsystemstayid NUMBER, eventtype CLOB, eventid NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE 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 microlab (microlabid NUMBER, patientunitstayid NUMBER, culturesite CLOB, organism CLOB, culturetakentime TIME)
CREATE TABLE lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime TIME)
| what are the three most commonly prescribed drugs for patients who were also prescribed merrem at the same time in 2105? | SELECT t3.drugname FROM (SELECT t2.drugname, DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS c1 FROM (SELECT patient.uniquepid, medication.drugstarttime FROM medication JOIN patient ON medication.patientunitstayid = patient.patientunitstayid WHERE medication.drugname = 'merrem' AND STRFTIME('%y', medication.drugstarttime) = '2105') AS t1 JOIN (SELECT patient.uniquepid, medication.drugname, medication.drugstarttime FROM medication JOIN patient ON medication.patientunitstayid = patient.patientunitstayid WHERE STRFTIME('%y', medication.drugstarttime) = '2105') AS t2 ON t1.uniquepid = t2.uniquepid WHERE DATETIME(t1.drugstarttime) = DATETIME(t2.drugstarttime) GROUP BY t2.drugname) AS t3 WHERE t3.c1 <= 3 | WITH "t2" AS (SELECT "patient"."uniquepid", "medication"."drugname", "medication"."drugstarttime" FROM "medication" JOIN "patient" ON "medication"."patientunitstayid" = "patient"."patientunitstayid" WHERE STRFTIME('%y', "medication"."drugstarttime") = '2105'), "t3" AS (SELECT "t2"."drugname", DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS "c1" FROM "medication" JOIN "patient" ON "medication"."patientunitstayid" = "patient"."patientunitstayid" JOIN "t2" "t2" ON "patient"."uniquepid" = "t2"."uniquepid" AND DATETIME("medication"."drugstarttime") = DATETIME("t2"."drugstarttime") WHERE "medication"."drugname" = 'merrem' AND STRFTIME('%y', "medication"."drugstarttime") = '2105' GROUP BY "t2"."drugname") SELECT "t3"."drugname" FROM "t3" "t3" WHERE "t3"."c1" <= 3 | 0.746094 |
CREATE TABLE table_65439 ("Position" CLOB, "Drivers" CLOB, "Entrant" CLOB, "Class" CLOB, "Laps" FLOAT)
| The driver in class A with 125 laps is in what position? | SELECT "Position" FROM table_65439 WHERE "Class" = 'a' AND "Laps" = '125' | SELECT "Position" FROM "table_65439" WHERE "Class" = 'a' AND "Laps" = '125' | 0.073242 |
CREATE TABLE table_203_52 (id NUMBER, "pos" CLOB, "no" NUMBER, "driver" CLOB, "constructor" CLOB, "laps" NUMBER, "time/retired" CLOB, "grid" NUMBER, "points" NUMBER)
| who was the last driver listed to receive points ? | SELECT "driver" FROM table_203_52 ORDER BY "points" LIMIT 1 | SELECT "driver" FROM "table_203_52" ORDER BY "points" FETCH FIRST 1 ROWS ONLY | 0.075195 |
CREATE TABLE table_75191 ("Surname" CLOB, "First" CLOB, "D.O.B." CLOB, "Uni#" FLOAT, "Bats" CLOB, "Throws" CLOB, "Position" CLOB)
| Which Uni # has a Surname of ough? | SELECT "Uni#" FROM table_75191 WHERE "Surname" = 'ough' | SELECT "Uni#" FROM "table_75191" WHERE "Surname" = 'ough' | 0.055664 |
CREATE TABLE dependent (sex VARCHAR2)
| how many female dependents are there? | SELECT COUNT(*) FROM dependent WHERE sex = 'F' | SELECT COUNT(*) FROM "dependent" WHERE "sex" = 'F' | 0.048828 |
CREATE TABLE table_79697 ("Rank" FLOAT, "Name" CLOB, "1st run" CLOB, "2nd run" CLOB, "3rd run" CLOB, "Total" FLOAT)
| Which 3rd run has rank of 8? | SELECT "3rd run" FROM table_79697 WHERE "Rank" = '8' | SELECT "3rd run" FROM "table_79697" WHERE "Rank" = '8' | 0.052734 |
CREATE TABLE table_43018 ("Country" CLOB, "Area ( km\\u00b2 ) " CLOB, "Population ( 2011 est. ) " CLOB, "Population density ( per km\\u00b2 ) " CLOB, "GDP ( PPP ) $M USD" CLOB)
| How much is the population density with a GDP at $188,112? | SELECT "Population density (per km\u00b2)" FROM table_43018 WHERE "GDP (PPP) $M USD" = '$188,112' | SELECT "Population density (per km\u00b2)" FROM "table_43018" WHERE "GDP (PPP) $M USD" = '$188,112' | 0.09668 |
CREATE TABLE days (days_code VARCHAR2, day_name VARCHAR2)
CREATE TABLE ground_service (city_code CLOB, airport_code CLOB, transport_type CLOB, ground_fare NUMBER)
CREATE TABLE flight (aircraft_code_sequence CLOB, airline_code VARCHAR2, airline_flight CLOB, arrival_time NUMBER, connections NUMBER, departure_time NUMBER, dual_carrier CLOB, flight_days CLOB, flight_id NUMBER, flight_number NUMBER, from_airport VARCHAR2, meal_code CLOB, stops NUMBER, time_elapsed NUMBER, to_airport VARCHAR2)
CREATE TABLE equipment_sequence (aircraft_code_sequence VARCHAR2, aircraft_code 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 dual_carrier (main_airline VARCHAR2, low_flight_number NUMBER, high_flight_number NUMBER, dual_airline VARCHAR2, service_name CLOB)
CREATE TABLE month (month_number NUMBER, month_name CLOB)
CREATE TABLE state (state_code CLOB, state_name CLOB, country_name CLOB)
CREATE TABLE airport_service (city_code VARCHAR2, airport_code VARCHAR2, miles_distant NUMBER, direction VARCHAR2, minutes_distant 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 food_service (meal_code CLOB, meal_number NUMBER, compartment CLOB, meal_description VARCHAR2)
CREATE TABLE code_description (code VARCHAR2, description 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 time_zone (time_zone_code CLOB, time_zone_name CLOB, hours_from_gmt NUMBER)
CREATE TABLE date_day (month_number NUMBER, day_number NUMBER, year NUMBER, day_name VARCHAR2)
CREATE TABLE 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 airline (airline_code VARCHAR2, airline_name CLOB, note CLOB)
CREATE TABLE fare_basis (fare_basis_code CLOB, booking_class CLOB, class_type CLOB, premium CLOB, economy CLOB, discounted CLOB, night CLOB, season CLOB, basis_days CLOB)
CREATE TABLE time_interval (period CLOB, begin_time NUMBER, end_time NUMBER)
CREATE TABLE city (city_code VARCHAR2, city_name VARCHAR2, state_code VARCHAR2, country_name VARCHAR2, time_zone_code VARCHAR2)
CREATE TABLE class_of_service (booking_class VARCHAR2, rank NUMBER, class_description CLOB)
CREATE TABLE flight_fare (flight_id NUMBER, fare_id 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 compartment_class (compartment VARCHAR2, class_type VARCHAR2)
| what is your least expensive fare between ATLANTA and BOSTON | SELECT DISTINCT fare.fare_id FROM airport_service AS AIRPORT_SERVICE_0, airport_service AS AIRPORT_SERVICE_1, city AS CITY_0, city AS CITY_1, fare, flight, flight_fare WHERE CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'ATLANTA' AND CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'BOSTON' AND fare.one_direction_cost = (SELECT MIN(FAREalias1.one_direction_cost) FROM airport_service AS AIRPORT_SERVICEalias2, airport_service AS AIRPORT_SERVICEalias3, city AS CITYalias2, city AS CITYalias3, fare AS FAREalias1, flight AS FLIGHTalias1, flight_fare AS FLIGHT_FAREalias1 WHERE CITYalias2.city_code = AIRPORT_SERVICEalias2.city_code AND CITYalias2.city_name = 'ATLANTA' AND CITYalias3.city_code = AIRPORT_SERVICEalias3.city_code AND CITYalias3.city_name = 'BOSTON' AND FLIGHT_FAREalias1.fare_id = FAREalias1.fare_id AND FLIGHTalias1.flight_id = FLIGHT_FAREalias1.flight_id AND FLIGHTalias1.from_airport = AIRPORT_SERVICEalias2.airport_code AND FLIGHTalias1.to_airport = AIRPORT_SERVICEalias3.airport_code) AND flight_fare.fare_id = fare.fare_id AND flight.flight_id = flight_fare.flight_id AND flight.from_airport = AIRPORT_SERVICE_0.airport_code AND flight.to_airport = AIRPORT_SERVICE_1.airport_code | WITH "_u_0" AS (SELECT MIN("FAREalias1"."one_direction_cost") 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 "flight_fare" "FLIGHT_FAREalias1" ON "FLIGHT_FAREalias1"."flight_id" = "FLIGHTalias1"."flight_id" JOIN "city" "CITYalias3" ON "AIRPORT_SERVICEalias3"."city_code" = "CITYalias3"."city_code" AND "CITYalias3"."city_name" = 'BOSTON' JOIN "fare" "FAREalias1" ON "FAREalias1"."fare_id" = "FLIGHT_FAREalias1"."fare_id") SELECT DISTINCT "fare"."fare_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 "flight_fare" ON "flight"."flight_id" = "flight_fare"."flight_id" JOIN "city" "CITY_1" ON "AIRPORT_SERVICE_1"."city_code" = "CITY_1"."city_code" AND "CITY_1"."city_name" = 'BOSTON' JOIN "fare" ON "fare"."fare_id" = "flight_fare"."fare_id" JOIN "_u_0" "_u_0" ON "_u_0"."" = "fare"."one_direction_cost" | 1.426758 |
CREATE TABLE table_68163 ("Year" FLOAT, "Entrant" CLOB, "Chassis" CLOB, "Engine" CLOB, "Points" FLOAT)
| What is the smallest number of points with an Engine of climax v8, and a Year of 1966? | SELECT MIN("Points") FROM table_68163 WHERE "Engine" = 'climax v8' AND "Year" = '1966' | SELECT MIN("Points") FROM "table_68163" WHERE "Engine" = 'climax v8' AND "Year" = '1966' | 0.085938 |
CREATE TABLE table_75912 ("Rank" FLOAT, "Name" CLOB, "Built" FLOAT, "Height" CLOB, "Floors" FLOAT)
| What is the lowest Floors, when Built is greater than 1970, and when Name is NV Building 3? | SELECT MIN("Floors") FROM table_75912 WHERE "Built" > '1970' AND "Name" = 'nv building 3' | SELECT MIN("Floors") FROM "table_75912" WHERE "Built" > '1970' AND "Name" = 'nv building 3' | 0.088867 |
CREATE TABLE table_24862 ("No. in series" FLOAT, "Title" CLOB, "Directed by" CLOB, "Written by" CLOB, "Original air date" CLOB, "Production code" CLOB)
| How many number of series have a production code of 1.11? | SELECT "No. in series" FROM table_24862 WHERE "Production code" = '1.11' | SELECT "No. in series" FROM "table_24862" WHERE "Production code" = '1.11' | 0.072266 |
CREATE TABLE table_name_90 (home_team VARCHAR2, away_team VARCHAR2)
| Who was the home team that played against Collingwood? | SELECT home_team FROM table_name_90 WHERE away_team = "collingwood" | SELECT "home_team" FROM "table_name_90" WHERE "away_team" = "collingwood" | 0.071289 |
CREATE TABLE table_name_92 (away_team VARCHAR2, venue VARCHAR2)
| What was the away score when they played at Brunswick Street Oval? | SELECT away_team AS score FROM table_name_92 WHERE venue = "brunswick street oval" | SELECT "away_team" AS "score" FROM "table_name_92" WHERE "brunswick street oval" = "venue" | 0.087891 |
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
| what is the number of patients whose primary disease is pneumonia and admission year is less than 2151? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.diagnosis = "PNEUMONIA" AND demographic.admityear < "2151" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "2151" > "demographic"."admityear" AND "PNEUMONIA" = "demographic"."diagnosis" | 0.149414 |
CREATE TABLE store (store_id NUMBER, store_name CLOB, type CLOB, area_size NUMBER, number_of_product_category NUMBER, ranking NUMBER)
CREATE TABLE district (district_id NUMBER, district_name CLOB, headquartered_city CLOB, city_population NUMBER, city_area NUMBER)
CREATE TABLE store_district (store_id NUMBER, district_id NUMBER)
CREATE TABLE product (product_id NUMBER, product CLOB, dimensions CLOB, dpi NUMBER, pages_per_minute_color NUMBER, max_page_size CLOB, interface CLOB)
CREATE TABLE store_product (store_id NUMBER, product_id NUMBER)
| Which city is the headquarter of the store named 'Blackville' in? | SELECT t3.headquartered_city FROM store AS t1 JOIN store_district AS t2 ON t1.store_id = t2.store_id JOIN district AS t3 ON t2.district_id = t3.district_id WHERE t1.store_name = "Blackville" | SELECT "t3"."headquartered_city" FROM "store" "t1" JOIN "store_district" "t2" ON "t1"."store_id" = "t2"."store_id" JOIN "district" "t3" ON "t2"."district_id" = "t3"."district_id" WHERE "Blackville" = "t1"."store_name" | 0.211914 |
CREATE TABLE table_67543 ("Member countries" CLOB, "Population" CLOB, "Area ( km\\u00b2 ) " CLOB, "GDP ( billion US$ ) " CLOB, "GDP per capita ( US$ ) " CLOB)
| What is the per-capita GDP of the country with an overall GDP of 80.955? | SELECT "GDP per capita (US$)" FROM table_67543 WHERE "GDP (billion US$)" = '80.955' | SELECT "GDP per capita (US$)" FROM "table_67543" WHERE "GDP (billion US$)" = '80.955' | 0.083008 |
CREATE TABLE table_23248910_6 (high_points VARCHAR2, team VARCHAR2)
| Who scored the highest points and how much against the raptors? | SELECT high_points FROM table_23248910_6 WHERE team = "Raptors" | SELECT "high_points" FROM "table_23248910_6" WHERE "Raptors" = "team" | 0.067383 |
CREATE TABLE table_name_88 (total NUMBER, t_score NUMBER)
| What is the total of the team with a T score less than 6.8? | SELECT SUM(total) FROM table_name_88 WHERE t_score < 6.8 | SELECT SUM("total") FROM "table_name_88" WHERE "t_score" < 6.8 | 0.060547 |
CREATE TABLE ta (campus_job_id NUMBER, student_id NUMBER, location VARCHAR2)
CREATE TABLE course_prerequisite (pre_course_id NUMBER, course_id NUMBER)
CREATE TABLE jobs (job_id NUMBER, job_title VARCHAR2, description VARCHAR2, requirement VARCHAR2, city VARCHAR2, state VARCHAR2, country VARCHAR2, zip NUMBER)
CREATE TABLE student (student_id NUMBER, lastname VARCHAR2, firstname VARCHAR2, program_id NUMBER, declare_major VARCHAR2, total_credit NUMBER, total_gpa FLOAT, entered_as VARCHAR2, admit_term NUMBER, predicted_graduation_semester NUMBER, degree VARCHAR2, minor VARCHAR2, internship VARCHAR2)
CREATE TABLE student_record (student_id NUMBER, course_id NUMBER, semester NUMBER, grade VARCHAR2, how VARCHAR2, transfer_source VARCHAR2, earn_credit VARCHAR2, repeat_term VARCHAR2, test_id VARCHAR2)
CREATE TABLE course_offering (offering_id NUMBER, course_id NUMBER, semester NUMBER, section_number NUMBER, start_time TIME, end_time TIME, monday VARCHAR2, tuesday VARCHAR2, wednesday VARCHAR2, thursday VARCHAR2, friday VARCHAR2, saturday VARCHAR2, sunday VARCHAR2, has_final_project VARCHAR2, has_final_exam VARCHAR2, textbook VARCHAR2, class_address VARCHAR2, allow_audit VARCHAR2)
CREATE TABLE program_requirement (program_id NUMBER, category VARCHAR2, min_credit NUMBER, additional_req VARCHAR2)
CREATE TABLE semester (semester_id NUMBER, semester VARCHAR2, year NUMBER)
CREATE TABLE course (course_id NUMBER, name VARCHAR2, department VARCHAR2, number VARCHAR2, credits VARCHAR2, advisory_requirement VARCHAR2, enforced_requirement VARCHAR2, description VARCHAR2, num_semesters NUMBER, num_enrolled NUMBER, has_discussion VARCHAR2, has_lab VARCHAR2, has_projects VARCHAR2, has_exams VARCHAR2, num_reviews NUMBER, clarity_score NUMBER, easiness_score NUMBER, helpfulness_score NUMBER)
CREATE TABLE program (program_id NUMBER, name VARCHAR2, college VARCHAR2, introduction VARCHAR2)
CREATE TABLE instructor (instructor_id NUMBER, name VARCHAR2, uniqname VARCHAR2)
CREATE TABLE requirement (requirement_id NUMBER, requirement VARCHAR2, college VARCHAR2)
CREATE TABLE offering_instructor (offering_instructor_id NUMBER, offering_id NUMBER, instructor_id NUMBER)
CREATE TABLE gsi (course_offering_id NUMBER, student_id NUMBER)
CREATE TABLE area (course_id NUMBER, area VARCHAR2)
CREATE TABLE program_course (program_id NUMBER, course_id NUMBER, workload NUMBER, category VARCHAR2)
CREATE TABLE comment_instructor (instructor_id NUMBER, student_id NUMBER, score NUMBER, comment_text VARCHAR2)
CREATE TABLE course_tags_count (course_id NUMBER, clear_grading NUMBER, pop_quiz NUMBER, group_projects NUMBER, inspirational NUMBER, long_lectures NUMBER, extra_credit NUMBER, few_tests NUMBER, good_feedback NUMBER, tough_tests NUMBER, heavy_papers NUMBER, cares_for_students NUMBER, heavy_assignments NUMBER, respected NUMBER, participation NUMBER, heavy_reading NUMBER, tough_grader NUMBER, hilarious NUMBER, would_take_again NUMBER, good_lecture NUMBER, no_skip NUMBER)
| What classes will Dr. Yang Zhang be teaching this upcoming semester ? | SELECT DISTINCT course.department, course.name, course.number FROM course, course_offering, instructor, offering_instructor, semester WHERE course.course_id = course_offering.course_id AND instructor.name LIKE '%Yang Zhang%' AND offering_instructor.instructor_id = instructor.instructor_id AND offering_instructor.offering_id = course_offering.offering_id AND semester.semester = 'FA' AND semester.semester_id = course_offering.semester AND semester.year = 2016 | SELECT DISTINCT "course"."department", "course"."name", "course"."number" FROM "course" JOIN "course_offering" ON "course"."course_id" = "course_offering"."course_id" JOIN "offering_instructor" ON "course_offering"."offering_id" = "offering_instructor"."offering_id" JOIN "semester" ON "course_offering"."semester" = "semester"."semester_id" AND "semester"."semester" = 'FA' AND "semester"."year" = 2016 JOIN "instructor" ON "instructor"."instructor_id" = "offering_instructor"."instructor_id" AND "instructor"."name" LIKE '%Yang Zhang%' | 0.524414 |
CREATE TABLE table_204_642 (id NUMBER, "team" CLOB, "domestic tournament" CLOB, "position" CLOB, "appearance" CLOB, "qualified" CLOB)
| the auckland aces and yorkshire carnegie qualified on what date ? | SELECT "qualified" FROM table_204_642 WHERE "team" = 'auckland aces' | SELECT "qualified" FROM "table_204_642" WHERE "team" = 'auckland aces' | 0.068359 |
CREATE TABLE Scientists (SSN NUMBER, Name CHAR)
CREATE TABLE Projects (Code CHAR, Name CHAR, Hours NUMBER)
CREATE TABLE AssignedTo (Scientist NUMBER, Project CHAR)
| Visualize a bar chart for what are the naems of all the projects, and how many scientists were assigned to each of them?, and display by the y-axis in ascending. | SELECT Name, COUNT(*) FROM Projects AS T1 JOIN AssignedTo AS T2 ON T1.Code = T2.Project GROUP BY T1.Name ORDER BY COUNT(*) | SELECT "Name", COUNT(*) FROM "Projects" "T1" JOIN "AssignedTo" "T2" ON "T1"."Code" = "T2"."Project" GROUP BY "T1"."Name" ORDER BY COUNT(*) | 0.134766 |
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 medication (medicationid NUMBER, patientunitstayid NUMBER, drugname CLOB, dosage CLOB, routeadmin CLOB, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE cost (costid NUMBER, uniquepid CLOB, patienthealthsystemstayid NUMBER, eventtype CLOB, eventid NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE 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 allergy (allergyid NUMBER, patientunitstayid NUMBER, drugname CLOB, allergyname CLOB, allergytime TIME)
CREATE TABLE intakeoutput (intakeoutputid NUMBER, patientunitstayid NUMBER, cellpath CLOB, celllabel CLOB, cellvaluenumeric NUMBER, intakeoutputtime TIME)
CREATE TABLE diagnosis (diagnosisid NUMBER, patientunitstayid NUMBER, diagnosisname CLOB, diagnosistime TIME, icd9code CLOB)
| what would be patient 016-38131's monthly maximum weight since 2105? | SELECT MAX(patient.admissionweight) FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '016-38131') AND NOT patient.admissionweight IS NULL AND STRFTIME('%y', patient.unitadmittime) >= '2105' GROUP BY STRFTIME('%y-%m', patient.unitadmittime) | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '016-38131' GROUP BY "patienthealthsystemstayid") SELECT MAX("patient"."admissionweight") FROM "patient" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "patient"."patienthealthsystemstayid" WHERE NOT "_u_0"."" IS NULL AND NOT "patient"."admissionweight" IS NULL AND STRFTIME('%y', "patient"."unitadmittime") >= '2105' GROUP BY STRFTIME('%y-%m', "patient"."unitadmittime") | 0.458008 |
CREATE TABLE Product_Characteristics (product_id NUMBER, characteristic_id NUMBER, product_characteristic_value VARCHAR2)
CREATE TABLE Ref_Colors (color_code VARCHAR2, color_description VARCHAR2)
CREATE TABLE Ref_Characteristic_Types (characteristic_type_code VARCHAR2, characteristic_type_description VARCHAR2)
CREATE TABLE Characteristics (characteristic_id NUMBER, characteristic_type_code VARCHAR2, characteristic_data_type VARCHAR2, characteristic_name VARCHAR2, other_characteristic_details VARCHAR2)
CREATE TABLE Ref_Product_Categories (product_category_code VARCHAR2, product_category_description VARCHAR2, unit_of_measure VARCHAR2)
CREATE TABLE Products (product_id NUMBER, color_code VARCHAR2, product_category_code VARCHAR2, product_name VARCHAR2, typical_buying_price VARCHAR2, typical_selling_price VARCHAR2, product_description VARCHAR2, other_product_details VARCHAR2)
| A bar chart for what are the number of the descriptions of the categories that products with product descriptions that contain the letter t are in?, and display by the y-axis from high to low. | SELECT product_category_description, COUNT(product_category_description) FROM Ref_Product_Categories AS T1 JOIN Products AS T2 ON T1.product_category_code = T2.product_category_code WHERE T2.product_description LIKE '%t%' GROUP BY product_category_description ORDER BY COUNT(product_category_description) DESC | SELECT "product_category_description", COUNT("product_category_description") FROM "Ref_Product_Categories" "T1" JOIN "Products" "T2" ON "T1"."product_category_code" = "T2"."product_category_code" AND "T2"."product_description" LIKE '%t%' GROUP BY "product_category_description" ORDER BY COUNT("product_category_description") DESC | 0.321289 |
CREATE TABLE table_20830 ("Children/Women over 15" FLOAT, "Oblast\\\\Age of women" CLOB, "15 to 17" FLOAT, "18 to 19" FLOAT, "20 to 24" FLOAT, "25 to 29" FLOAT, "30 to 34" FLOAT, "35 to 39" FLOAT, "40 to 44" FLOAT, "45 to 49" FLOAT, "50 to 54" FLOAT, "55 to 59" FLOAT, "60 to 64" FLOAT, "65 to 69" FLOAT, "70+" FLOAT)
| If 70+ is 2554, what is the 25 to 29 amount? | SELECT "25 to 29" FROM table_20830 WHERE "70+" = '2554' | SELECT "25 to 29" FROM "table_20830" WHERE "70+" = '2554' | 0.055664 |
CREATE TABLE table_204_884 (id NUMBER, "medal" CLOB, "name" CLOB, "sport" CLOB, "event" CLOB, "date" CLOB)
| what sport did louis challiot win the same medal as paul chocque in ? | SELECT "sport" FROM table_204_884 WHERE "name" = 'louis chaillot' | SELECT "sport" FROM "table_204_884" WHERE "name" = 'louis chaillot' | 0.06543 |
CREATE TABLE table_14911550_5 (position VARCHAR2, team VARCHAR2)
| In which position is the team Cerro Porte o? | SELECT position FROM table_14911550_5 WHERE team = "Cerro Porteño" | SELECT "position" FROM "table_14911550_5" WHERE "Cerro Porteño" = "team" | 0.070313 |
CREATE TABLE table_name_42 (round NUMBER, overall VARCHAR2)
| Overall of 62 is what average round? | SELECT AVG(round) FROM table_name_42 WHERE overall = 62 | SELECT AVG("round") FROM "table_name_42" WHERE "overall" = 62 | 0.05957 |
CREATE TABLE Activity (actid NUMBER, activity_name VARCHAR2)
CREATE TABLE Faculty_Participates_in (FacID NUMBER, actid NUMBER)
CREATE TABLE Participates_in (stuid NUMBER, actid NUMBER)
CREATE TABLE Student (StuID NUMBER, LName VARCHAR2, Fname VARCHAR2, Age NUMBER, Sex VARCHAR2, Major NUMBER, Advisor NUMBER, city_code VARCHAR2)
CREATE TABLE Faculty (FacID NUMBER, Lname VARCHAR2, Fname VARCHAR2, Rank VARCHAR2, Sex VARCHAR2, Phone NUMBER, Room VARCHAR2, Building VARCHAR2)
| Bar chart of total number by each rank, and I want to display from high to low by the bars. | SELECT Rank, COUNT(Rank) FROM Faculty GROUP BY Rank ORDER BY Rank DESC | SELECT "Rank", COUNT("Rank") FROM "Faculty" GROUP BY "Rank" ORDER BY "Rank" DESC | 0.078125 |
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)
| Return a bar chart about the distribution of Sex and the average of Height , and group by attribute Sex, and rank by the Y in ascending please. | SELECT Sex, AVG(Height) FROM people GROUP BY Sex ORDER BY AVG(Height) | SELECT "Sex", AVG("Height") FROM "people" GROUP BY "Sex" ORDER BY AVG("Height") | 0.077148 |
CREATE TABLE table_4370 ("Year" FLOAT, "Association" CLOB, "Category" CLOB, "Nominated work" CLOB, "Result" CLOB)
| Tell me the nominated work larger than 2011 | SELECT "Nominated work" FROM table_4370 WHERE "Year" > '2011' | SELECT "Nominated work" FROM "table_4370" WHERE "Year" > '2011' | 0.061523 |
CREATE TABLE field (fieldid NUMBER)
CREATE TABLE cite (citingpaperid NUMBER, citedpaperid NUMBER)
CREATE TABLE paperdataset (paperid NUMBER, datasetid NUMBER)
CREATE TABLE dataset (datasetid NUMBER, datasetname VARCHAR2)
CREATE TABLE paperkeyphrase (paperid NUMBER, keyphraseid NUMBER)
CREATE TABLE keyphrase (keyphraseid NUMBER, keyphrasename VARCHAR2)
CREATE TABLE venue (venueid NUMBER, venuename VARCHAR2)
CREATE TABLE paper (paperid NUMBER, title VARCHAR2, venueid NUMBER, year NUMBER, numciting NUMBER, numcitedby NUMBER, journalid NUMBER)
CREATE TABLE writes (paperid NUMBER, authorid NUMBER)
CREATE TABLE author (authorid NUMBER, authorname VARCHAR2)
CREATE TABLE paperfield (fieldid NUMBER, paperid NUMBER)
CREATE TABLE journal (journalid NUMBER, journalname VARCHAR2)
| what datasets did oren etzioni use in his papers ? | SELECT DISTINCT paperdataset.datasetid FROM author, paper, paperdataset, writes WHERE author.authorname = 'oren etzioni' AND paper.paperid = paperdataset.paperid AND writes.authorid = author.authorid AND writes.paperid = paper.paperid | SELECT DISTINCT "paperdataset"."datasetid" FROM "author" JOIN "writes" ON "author"."authorid" = "writes"."authorid" JOIN "paper" ON "paper"."paperid" = "writes"."paperid" JOIN "paperdataset" ON "paper"."paperid" = "paperdataset"."paperid" WHERE "author"."authorname" = 'oren etzioni' | 0.276367 |
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
| how many patients are with death status 0 and procedure icd9 code 9744? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.expire_flag = "0" AND procedures.icd9_code = "9744" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "procedures" ON "9744" = "procedures"."icd9_code" AND "demographic"."hadm_id" = "procedures"."hadm_id" WHERE "0" = "demographic"."expire_flag" | 0.210938 |
CREATE TABLE table_71046 ("Category" CLOB, "Film" CLOB, "Director ( s ) " CLOB, "Country" CLOB, "Nominating Festival" CLOB)
| Name the nominating festival for un cartus de kent si un pachet de cafea | SELECT "Nominating Festival" FROM table_71046 WHERE "Film" = 'un cartus de kent si un pachet de cafea' | SELECT "Nominating Festival" FROM "table_71046" WHERE "Film" = 'un cartus de kent si un pachet de cafea' | 0.101563 |
CREATE TABLE table_name_64 (pick VARCHAR2, round VARCHAR2, position VARCHAR2)
| How many Pick has a Round smaller than 13, and a Position of fullback? | SELECT COUNT(pick) FROM table_name_64 WHERE round < 13 AND position = "fullback" | SELECT COUNT("pick") FROM "table_name_64" WHERE "fullback" = "position" AND "round" < 13 | 0.085938 |
CREATE TABLE table_name_70 (away_team VARCHAR2, venue VARCHAR2)
| What was the score for the away team when they played at lake oval? | SELECT away_team AS score FROM table_name_70 WHERE venue = "lake oval" | SELECT "away_team" AS "score" FROM "table_name_70" WHERE "lake oval" = "venue" | 0.076172 |
CREATE TABLE table_name_3 (tournament VARCHAR2, winning_score VARCHAR2)
| What tournament had a winning score of 27 (64-64-61=189)? | SELECT tournament FROM table_name_3 WHERE winning_score = −27(64 - 64 - 61 = 189) | SELECT "tournament" FROM "table_name_3" WHERE "winning_score" = −27(FALSE) | 0.072266 |
CREATE TABLE table_272865_20 (years_active VARCHAR2, asian_cup_played_as_a_captain VARCHAR2)
| What were the years active where Asian Cup played as a captain is Qatar 1988? | SELECT years_active FROM table_272865_20 WHERE asian_cup_played_as_a_captain = "Qatar 1988" | SELECT "years_active" FROM "table_272865_20" WHERE "Qatar 1988" = "asian_cup_played_as_a_captain" | 0.094727 |
CREATE TABLE table_18047346_4 (iata_code VARCHAR2, passengers VARCHAR2)
| If the passengers are 15,505,566, what is the iata code? | SELECT iata_code FROM table_18047346_4 WHERE passengers = "15,505,566" | SELECT "iata_code" FROM "table_18047346_4" WHERE "15,505,566" = "passengers" | 0.074219 |
CREATE TABLE district (district_id NUMBER, district_name CLOB, headquartered_city CLOB, city_population NUMBER, city_area NUMBER)
CREATE TABLE product (product_id NUMBER, product CLOB, dimensions CLOB, dpi NUMBER, pages_per_minute_color NUMBER, max_page_size CLOB, interface CLOB)
CREATE TABLE store_district (store_id NUMBER, district_id NUMBER)
CREATE TABLE store_product (store_id NUMBER, product_id NUMBER)
CREATE TABLE store (store_id NUMBER, store_name CLOB, type CLOB, area_size NUMBER, number_of_product_category NUMBER, ranking NUMBER)
| What city is the headquarter of the store Blackville? | SELECT t3.headquartered_city FROM store AS t1 JOIN store_district AS t2 ON t1.store_id = t2.store_id JOIN district AS t3 ON t2.district_id = t3.district_id WHERE t1.store_name = "Blackville" | SELECT "t3"."headquartered_city" FROM "store" "t1" JOIN "store_district" "t2" ON "t1"."store_id" = "t2"."store_id" JOIN "district" "t3" ON "t2"."district_id" = "t3"."district_id" WHERE "Blackville" = "t1"."store_name" | 0.211914 |
CREATE TABLE table_name_38 (longitude VARCHAR2, latitude VARCHAR2, geo_id VARCHAR2)
| What is the longitude with a latitude of 48.930222 with a Geo ID smaller than 3806755660? | SELECT COUNT(longitude) FROM table_name_38 WHERE latitude = 48.930222 AND geo_id < 3806755660 | SELECT COUNT("longitude") FROM "table_name_38" WHERE "geo_id" < 3806755660 AND "latitude" = 48.930222 | 0.098633 |
CREATE TABLE table_name_58 (school VARCHAR2, location VARCHAR2)
| what is the school with the location of alexandria? | SELECT school FROM table_name_58 WHERE location = "alexandria" | SELECT "school" FROM "table_name_58" WHERE "alexandria" = "location" | 0.066406 |
CREATE TABLE table_44747 ("Date" CLOB, "Series" CLOB, "Circuit" CLOB, "City / State" CLOB, "Winner" CLOB, "Team" CLOB)
| What is Team, when Circuit is Queensland Raceway, and when Winner is Garth Tander? | SELECT "Team" FROM table_44747 WHERE "Circuit" = 'queensland raceway' AND "Winner" = 'garth tander' | SELECT "Team" FROM "table_44747" WHERE "Circuit" = 'queensland raceway' AND "Winner" = 'garth tander' | 0.098633 |
CREATE TABLE table_56453 ("Power Plant" CLOB, "Producer" CLOB, "Location" CLOB, "State" CLOB, "Total Capacity ( MWe ) " FLOAT)
| What company is the producer at the poolavadi location | SELECT "Producer" FROM table_56453 WHERE "Location" = 'poolavadi' | SELECT "Producer" FROM "table_56453" WHERE "Location" = 'poolavadi' | 0.06543 |
CREATE TABLE table_name_45 (events_won__uk_series_ VARCHAR2, events_won__us_series_ NUMBER)
| How many UK events won for the contestant that won under 1 US event? | SELECT events_won__uk_series_ FROM table_name_45 WHERE events_won__us_series_ < 1 | SELECT "events_won__uk_series_" FROM "table_name_45" WHERE "events_won__us_series_" < 1 | 0.084961 |
CREATE TABLE DEPARTMENT (DEPT_CODE VARCHAR2, DEPT_NAME VARCHAR2, SCHOOL_CODE VARCHAR2, EMP_NUM NUMBER, DEPT_ADDRESS VARCHAR2, DEPT_EXTENSION VARCHAR2)
CREATE TABLE ENROLL (CLASS_CODE VARCHAR2, STU_NUM NUMBER, ENROLL_GRADE VARCHAR2)
CREATE TABLE COURSE (CRS_CODE VARCHAR2, DEPT_CODE VARCHAR2, CRS_DESCRIPTION VARCHAR2, CRS_CREDIT FLOAT)
CREATE TABLE STUDENT (STU_NUM NUMBER, STU_LNAME VARCHAR2, STU_FNAME VARCHAR2, STU_INIT VARCHAR2, STU_DOB DATETIME, STU_HRS NUMBER, STU_CLASS VARCHAR2, STU_GPA FLOAT, STU_TRANSFER NUMBER, DEPT_CODE VARCHAR2, STU_PHONE VARCHAR2, PROF_NUM NUMBER)
CREATE TABLE CLASS (CLASS_CODE VARCHAR2, CRS_CODE VARCHAR2, CLASS_SECTION VARCHAR2, CLASS_TIME VARCHAR2, CLASS_ROOM VARCHAR2, PROF_NUM NUMBER)
CREATE TABLE EMPLOYEE (EMP_NUM NUMBER, EMP_LNAME VARCHAR2, EMP_FNAME VARCHAR2, EMP_INITIAL VARCHAR2, EMP_JOBCODE VARCHAR2, EMP_HIREDATE DATETIME, EMP_DOB DATETIME)
CREATE TABLE PROFESSOR (EMP_NUM NUMBER, DEPT_CODE VARCHAR2, PROF_OFFICE VARCHAR2, PROF_EXTENSION VARCHAR2, PROF_HIGH_DEGREE VARCHAR2)
| how many students are in each department?, and display X from high to low order. | SELECT DEPT_CODE, COUNT(*) FROM STUDENT GROUP BY DEPT_CODE ORDER BY DEPT_CODE DESC | SELECT "DEPT_CODE", COUNT(*) FROM "STUDENT" GROUP BY "DEPT_CODE" ORDER BY "DEPT_CODE" DESC | 0.087891 |
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