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CREATE TABLE Organizations (organization_details VARCHAR2, organization_id VARCHAR2)
CREATE TABLE Things (thing_id VARCHAR2, type_of_Thing_Code VARCHAR2, organization_id VARCHAR2)
| List the id and type of each thing, and the details of the organization that owns it. | SELECT T1.thing_id, T1.type_of_Thing_Code, T2.organization_details FROM Things AS T1 JOIN Organizations AS T2 ON T1.organization_id = T2.organization_id | SELECT "T1"."thing_id", "T1"."type_of_Thing_Code", "T2"."organization_details" FROM "Things" "T1" JOIN "Organizations" "T2" ON "T1"."organization_id" = "T2"."organization_id" | 0.169922 |
CREATE TABLE table_name_28 (bronze NUMBER, nation VARCHAR2, silver VARCHAR2)
| Which Bronze has a Nation of argentina, and a Silver smaller than 0? | SELECT AVG(bronze) FROM table_name_28 WHERE nation = "argentina" AND silver < 0 | SELECT AVG("bronze") FROM "table_name_28" WHERE "argentina" = "nation" AND "silver" < 0 | 0.084961 |
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)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
| what is the admission time of Kelly Gallardo? | SELECT demographic.admittime FROM demographic WHERE demographic.name = "Kelly Gallardo" | SELECT "demographic"."admittime" FROM "demographic" WHERE "Kelly Gallardo" = "demographic"."name" | 0.094727 |
CREATE TABLE table_name_74 (round VARCHAR2, overall NUMBER)
| When the Overall is under 102, what's the round played? | SELECT round FROM table_name_74 WHERE overall < 102 | SELECT "round" FROM "table_name_74" WHERE "overall" < 102 | 0.055664 |
CREATE TABLE club_rank (rank NUMBER, club_id NUMBER, gold NUMBER, silver NUMBER, bronze NUMBER, total NUMBER)
CREATE TABLE competition (competition_id NUMBER, year NUMBER, competition_type CLOB, country CLOB)
CREATE TABLE competition_result (competition_id NUMBER, club_id_1 NUMBER, club_id_2 NUMBER, score CLOB)
CREATE TABLE player (player_id NUMBER, name CLOB, position CLOB, club_id NUMBER, apps NUMBER, tries NUMBER, goals CLOB, points NUMBER)
CREATE TABLE club (club_id NUMBER, name CLOB, region CLOB, start_year CLOB)
| What are the countries that participated in both friendly and tournament type competitions? | SELECT country FROM competition WHERE competition_type = 'Friendly' INTERSECT SELECT country FROM competition WHERE competition_type = 'Tournament' | SELECT "country" FROM "competition" WHERE "competition_type" = 'Friendly' INTERSECT SELECT "country" FROM "competition" WHERE "competition_type" = 'Tournament' | 0.155273 |
CREATE TABLE Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount NUMBER)
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 Users (Id NUMBER, Reputation NUMBER, CreationDate TIME, DisplayName CLOB, LastAccessDate TIME, WebsiteUrl CLOB, Location CLOB, AboutMe CLOB, Views NUMBER, UpVotes NUMBER, DownVotes NUMBER, ProfileImageUrl CLOB, EmailHash CLOB, AccountId NUMBER)
CREATE TABLE CloseAsOffTopicReasonTypes (Id NUMBER, IsUniversal BOOLEAN, InputTitle CLOB, MarkdownInputGuidance CLOB, MarkdownPostOwnerGuidance CLOB, MarkdownPrivilegedUserGuidance CLOB, MarkdownConcensusDescription CLOB, CreationDate TIME, CreationModeratorId NUMBER, ApprovalDate TIME, ApprovalModeratorId NUMBER, DeactivationDate TIME, DeactivationModeratorId NUMBER)
CREATE TABLE PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
CREATE TABLE SuggestedEdits (Id NUMBER, PostId NUMBER, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId NUMBER, Comment CLOB, Text CLOB, Title CLOB, Tags CLOB, RevisionGUID other)
CREATE TABLE TagSynonyms (Id NUMBER, SourceTagName CLOB, TargetTagName CLOB, CreationDate TIME, OwnerUserId NUMBER, AutoRenameCount NUMBER, LastAutoRename TIME, Score NUMBER, ApprovedByUserId NUMBER, ApprovalDate TIME)
CREATE TABLE 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 PostTags (PostId NUMBER, TagId NUMBER)
CREATE TABLE Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
CREATE TABLE CloseReasonTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Comments (Id NUMBER, PostId NUMBER, Score NUMBER, Text CLOB, CreationDate TIME, UserDisplayName CLOB, UserId NUMBER, ContentLicense CLOB)
CREATE TABLE ReviewTaskStates (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 PostHistory (Id NUMBER, PostHistoryTypeId NUMBER, PostId NUMBER, RevisionGUID other, CreationDate TIME, UserId NUMBER, UserDisplayName CLOB, Comment CLOB, Text CLOB, ContentLicense CLOB)
CREATE TABLE Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
CREATE TABLE 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 Posts (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment CLOB)
CREATE TABLE PostHistoryTypes (Id NUMBER, Name CLOB)
CREATE TABLE PostTypes (Id NUMBER, Name CLOB)
CREATE TABLE ReviewTaskResultTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
CREATE TABLE PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
CREATE TABLE SuggestedEditVotes (Id NUMBER, SuggestedEditId NUMBER, UserId NUMBER, VoteTypeId NUMBER, CreationDate TIME, TargetUserId NUMBER, TargetRepChange NUMBER)
CREATE TABLE VoteTypes (Id NUMBER, Name CLOB)
| Top SO users from istanbul. | SELECT ROW_NUMBER() OVER (ORDER BY Reputation DESC) AS "#", Id AS "user_link", Reputation FROM Users WHERE LOWER(Location) LIKE '%istanbul%' OR UPPER(Location) LIKE '%ISTANBUL%' OR UPPER(Location) LIKE '% STANBUL%' OR Location LIKE '% STANBUL%' AND Reputation >= 1000 ORDER BY Reputation DESC | SELECT ROW_NUMBER() OVER (ORDER BY "Reputation" DESC) AS "#", "Id" AS "user_link", "Reputation" FROM "Users" WHERE ("Location" LIKE '% STANBUL%' OR LOWER("Location") LIKE '%istanbul%' OR UPPER("Location") LIKE '% STANBUL%' OR UPPER("Location") LIKE '%ISTANBUL%') AND "Reputation" >= 1000 ORDER BY "Reputation" DESC | 0.306641 |
CREATE TABLE table_23542 ("Starting price" CLOB, "Number" FLOAT, "Name" CLOB, "Age" FLOAT, "Weight ( st , lb ) " CLOB, "Jockey" CLOB, "Trainer" CLOB, "Owner" CLOB, "Colours" CLOB)
| How much does Point Barrow weight? | SELECT "Weight (st, lb)" FROM table_23542 WHERE "Name" = 'Point Barrow' | SELECT "Weight (st, lb)" FROM "table_23542" WHERE "Name" = 'Point Barrow' | 0.071289 |
CREATE TABLE table_name_26 (tournament VARCHAR2)
| What is the tournament when 2007 is WTA Premier 5 tournaments? | SELECT tournament FROM table_name_26 WHERE 2007 = "wta premier 5 tournaments" | SELECT "tournament" FROM "table_name_26" WHERE "wta premier 5 tournaments" = 2007 | 0.079102 |
CREATE TABLE table_52924 ("Class" CLOB, "Wheels" CLOB, "Date" CLOB, "No. built" FLOAT, "Loco Nos." CLOB)
| On what date was the number of locomotives 421-6? | SELECT "Date" FROM table_52924 WHERE "Loco Nos." = '421-6' | SELECT "Date" FROM "table_52924" WHERE "Loco Nos." = '421-6' | 0.058594 |
CREATE TABLE table_6359 ("Games" FLOAT, "Drawn" FLOAT, "Lost" FLOAT, "Points difference" CLOB, "Points" FLOAT)
| How many of lost have 11 as the points, and a drawn greater than 1? | SELECT COUNT("Lost") FROM table_6359 WHERE "Points" = '11' AND "Drawn" > '1' | SELECT COUNT("Lost") FROM "table_6359" WHERE "Drawn" > '1' AND "Points" = '11' | 0.076172 |
CREATE TABLE table_16714 ("Rnd" FLOAT, "Race" CLOB, "Date" CLOB, "Location" CLOB, "Pole Position" CLOB, "Fastest Lap" CLOB, "Race Winner" CLOB, "Constructor" CLOB, "Report" CLOB)
| what's the report with rnd being 4 | SELECT "Report" FROM table_16714 WHERE "Rnd" = '4' | SELECT "Report" FROM "table_16714" WHERE "Rnd" = '4' | 0.050781 |
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 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 microlab (microlabid NUMBER, patientunitstayid NUMBER, culturesite CLOB, organism CLOB, culturetakentime TIME)
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)
| until 2104 has patient 017-36245 been diagnosed with anything? | SELECT COUNT(*) > 0 FROM diagnosis WHERE diagnosis.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '017-36245')) AND STRFTIME('%y', diagnosis.diagnosistime) <= '2104' | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '017-36245' 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 "diagnosis" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "diagnosis"."patientunitstayid" WHERE NOT "_u_1"."" IS NULL AND STRFTIME('%y', "diagnosis"."diagnosistime") <= '2104' | 0.535156 |
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 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 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 number of patients whose diagnoses short title is surg compl-body syst nec have died? | 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 = "Surg compl-body syst NEC" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "Surg compl-body syst NEC" = "diagnoses"."short_title" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" WHERE "1" = "demographic"."expire_flag" | 0.229492 |
CREATE TABLE table_203_387 (id NUMBER, "parish est" NUMBER, "church" CLOB, "city" CLOB, "current bldg begun" NUMBER, "weekly collections" CLOB, "notes" NUMBER)
| how long has sacred heart basilica been established ? | SELECT present_ref - "parish est" FROM table_203_387 WHERE "church" = 'sacred heart basilica' | SELECT "present_ref" - "parish est" FROM "table_203_387" WHERE "church" = 'sacred heart basilica' | 0.094727 |
CREATE TABLE table_name_96 (grid NUMBER, laps VARCHAR2, points VARCHAR2, driver VARCHAR2)
| Tell me the least Grid with points more than 11 and drivers being s bastien bourdais with laps less than 67 | SELECT MIN(grid) FROM table_name_96 WHERE points > 11 AND driver = "sébastien bourdais" AND laps < 67 | SELECT MIN("grid") FROM "table_name_96" WHERE "driver" = "sébastien bourdais" AND "laps" < 67 AND "points" > 11 | 0.108398 |
CREATE TABLE Projects (Code CHAR, Name CHAR, Hours NUMBER)
CREATE TABLE AssignedTo (Scientist NUMBER, Project CHAR)
CREATE TABLE Scientists (SSN NUMBER, Name CHAR)
| Find the name of the project for which a scientist whose name contains Smith is assigned to, and count them by a bar chart, and I want to rank by the y-axis in asc. | SELECT T2.Name, COUNT(T2.Name) FROM AssignedTo AS T1 JOIN Projects AS T2 ON T1.Project = T2.Code JOIN Scientists AS T3 ON T1.Scientist = T3.SSN WHERE T3.Name LIKE '%Smith%' GROUP BY T2.Name ORDER BY COUNT(T2.Name) | SELECT "T2"."Name", COUNT("T2"."Name") FROM "AssignedTo" "T1" JOIN "Projects" "T2" ON "T1"."Project" = "T2"."Code" JOIN "Scientists" "T3" ON "T1"."Scientist" = "T3"."SSN" AND "T3"."Name" LIKE '%Smith%' GROUP BY "T2"."Name" ORDER BY COUNT("T2"."Name") | 0.244141 |
CREATE TABLE table_name_45 (name VARCHAR2, length VARCHAR2, winner VARCHAR2)
| What is the Name of the Special Stage with a 2.40km length and S. Loeb as Winner? | SELECT name FROM table_name_45 WHERE length = "2.40km" AND winner = "s. loeb" | SELECT "name" FROM "table_name_45" WHERE "2.40km" = "length" AND "s. loeb" = "winner" | 0.083008 |
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 records from the products and each product's manufacturer, visualize a scatter chart about the correlation between price and revenue , and group by attribute founder. | SELECT Price, Revenue FROM Products AS T1 JOIN Manufacturers AS T2 ON T1.Manufacturer = T2.Code GROUP BY Founder | SELECT "Price", "Revenue" FROM "Products" "T1" JOIN "Manufacturers" "T2" ON "T1"."Manufacturer" = "T2"."Code" GROUP BY "Founder" | 0.125 |
CREATE TABLE table_204_312 (id NUMBER, "stage" CLOB, "date" CLOB, "route" CLOB, "terrain" CLOB, "length" CLOB, "winner" CLOB)
| how many number of stages in the tour de france contain stages with mountains ? | SELECT COUNT("stage") FROM table_204_312 WHERE "terrain" = 'stage with mountain(s)' | SELECT COUNT("stage") FROM "table_204_312" WHERE "terrain" = 'stage with mountain(s)' | 0.083008 |
CREATE TABLE table_name_17 (style VARCHAR2, choreographer_s_ VARCHAR2)
| What is Style, when Choreographer(s) is Dave Scott? | SELECT style FROM table_name_17 WHERE choreographer_s_ = "dave scott" | SELECT "style" FROM "table_name_17" WHERE "choreographer_s_" = "dave scott" | 0.073242 |
CREATE TABLE departments (DEPARTMENT_ID NUMBER, DEPARTMENT_NAME VARCHAR2, MANAGER_ID NUMBER, LOCATION_ID NUMBER)
CREATE TABLE countries (COUNTRY_ID VARCHAR2, COUNTRY_NAME VARCHAR2, REGION_ID NUMBER)
CREATE TABLE employees (EMPLOYEE_ID NUMBER, FIRST_NAME VARCHAR2, LAST_NAME VARCHAR2, EMAIL VARCHAR2, PHONE_NUMBER VARCHAR2, HIRE_DATE DATE, JOB_ID VARCHAR2, SALARY NUMBER, COMMISSION_PCT NUMBER, MANAGER_ID NUMBER, DEPARTMENT_ID NUMBER)
CREATE TABLE jobs (JOB_ID VARCHAR2, JOB_TITLE VARCHAR2, MIN_SALARY NUMBER, MAX_SALARY NUMBER)
CREATE TABLE locations (LOCATION_ID NUMBER, STREET_ADDRESS VARCHAR2, POSTAL_CODE VARCHAR2, CITY VARCHAR2, STATE_PROVINCE VARCHAR2, COUNTRY_ID VARCHAR2)
CREATE TABLE regions (REGION_ID NUMBER, REGION_NAME VARCHAR2)
CREATE TABLE job_history (EMPLOYEE_ID NUMBER, START_DATE DATE, END_DATE DATE, JOB_ID VARCHAR2, DEPARTMENT_ID NUMBER)
| For those employees who do not work in departments with managers that have ids between 100 and 200, give me the comparison about commission_pct over the job_id , show by the bar in desc. | SELECT JOB_ID, COMMISSION_PCT FROM employees WHERE NOT DEPARTMENT_ID IN (SELECT DEPARTMENT_ID FROM departments WHERE MANAGER_ID BETWEEN 100 AND 200) ORDER BY JOB_ID DESC | SELECT "JOB_ID", "COMMISSION_PCT" FROM "employees" WHERE NOT "DEPARTMENT_ID" IN (SELECT "DEPARTMENT_ID" FROM "departments" WHERE "MANAGER_ID" <= 200 AND "MANAGER_ID" >= 100) ORDER BY "JOB_ID" DESC | 0.191406 |
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
| provide the number of patients whose ethnicity is black/haitian and diagnoses icd9 code is v4511? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.ethnicity = "BLACK/HAITIAN" AND diagnoses.icd9_code = "V4511" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "V4511" = "diagnoses"."icd9_code" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" WHERE "BLACK/HAITIAN" = "demographic"."ethnicity" | 0.21875 |
CREATE TABLE table_52452 ("Round" FLOAT, "Grand Prix" CLOB, "Pole Position" CLOB, "Fastest Lap" CLOB, "Winning Driver" CLOB, "Winning Constructor" CLOB, "Report" CLOB)
| Who had the fastest lap at the Australian Grand Prix? | SELECT "Fastest Lap" FROM table_52452 WHERE "Grand Prix" = 'australian grand prix' | SELECT "Fastest Lap" FROM "table_52452" WHERE "Grand Prix" = 'australian grand prix' | 0.082031 |
CREATE TABLE table_45374 ("Channel" CLOB, "Play-by-play" CLOB, "Color commentator ( s ) " CLOB, "Studio host" CLOB, "Studio analysts" CLOB)
| Which channel has Joel Meyers as the Play by play commentator? | SELECT "Channel" FROM table_45374 WHERE "Play-by-play" = 'joel meyers' | SELECT "Channel" FROM "table_45374" WHERE "Play-by-play" = 'joel meyers' | 0.070313 |
CREATE TABLE table_name_58 (venue VARCHAR2, home_team VARCHAR2)
| What is Home team Venue for the hawthorn team? | SELECT venue FROM table_name_58 WHERE home_team = "hawthorn" | SELECT "venue" FROM "table_name_58" WHERE "hawthorn" = "home_team" | 0.064453 |
CREATE TABLE table_43665 ("Player" CLOB, "Position" CLOB, "Round" FLOAT, "Pick" FLOAT, "NFL Club" CLOB)
| What is the total round of the tight end position player? | SELECT COUNT("Round") FROM table_43665 WHERE "Position" = 'tight end' | SELECT COUNT("Round") FROM "table_43665" WHERE "Position" = 'tight end' | 0.069336 |
CREATE TABLE appellations (No NUMBER, Appelation CLOB, County CLOB, State CLOB, Area CLOB, isAVA CLOB)
CREATE TABLE grapes (ID NUMBER, Grape CLOB, Color CLOB)
CREATE TABLE wine (No NUMBER, Grape CLOB, Winery CLOB, Appelation CLOB, State CLOB, Name CLOB, Year NUMBER, Price NUMBER, Score NUMBER, Cases NUMBER, Drink CLOB)
| List the number of counties of all appellations in a bar chart, and list by the Y-axis in descending. | SELECT County, COUNT(County) FROM appellations GROUP BY County ORDER BY COUNT(County) DESC | SELECT "County", COUNT("County") FROM "appellations" GROUP BY "County" ORDER BY COUNT("County") DESC | 0.097656 |
CREATE TABLE table_14929574_3 (us_viewers__million_ VARCHAR2, directed_by VARCHAR2)
| How many viewers did the episode directed by David Nutter draw in? | SELECT us_viewers__million_ FROM table_14929574_3 WHERE directed_by = "David Nutter" | SELECT "us_viewers__million_" FROM "table_14929574_3" WHERE "David Nutter" = "directed_by" | 0.087891 |
CREATE TABLE table_1637981_7 (detroit__dtw_ VARCHAR2, lansing__lan_ VARCHAR2)
| When Lansing's fare is $433.59, what is the Detroit fare? | SELECT detroit__dtw_ FROM table_1637981_7 WHERE lansing__lan_ = "$433.59" | SELECT "detroit__dtw_" FROM "table_1637981_7" WHERE "$433.59" = "lansing__lan_" | 0.077148 |
CREATE TABLE table_4837 ("Name" CLOB, "Bullet" CLOB, "Case Length" CLOB, "Base" CLOB, "Neck" CLOB)
| Which Neck has a Bullet of 10.566 (.416), and a Base of 14.78 (.582)? | SELECT "Neck" FROM table_4837 WHERE "Bullet" = '10.566 (.416)' AND "Base" = '14.78 (.582)' | SELECT "Neck" FROM "table_4837" WHERE "Base" = '14.78 (.582)' AND "Bullet" = '10.566 (.416)' | 0.089844 |
CREATE TABLE table_name_87 (wins NUMBER, tournament VARCHAR2, top_5 VARCHAR2)
| What is the average number of Wins in a PGA Championship with a Top-5 less than 2? | SELECT AVG(wins) FROM table_name_87 WHERE tournament = "pga championship" AND top_5 < 2 | SELECT AVG("wins") FROM "table_name_87" WHERE "pga championship" = "tournament" AND "top_5" < 2 | 0.092773 |
CREATE TABLE table_203_486 (id NUMBER, "place" NUMBER, "team" CLOB, "matches" NUMBER, "won" NUMBER, "drawn" NUMBER, "lost" NUMBER, "difference" CLOB, "points" NUMBER)
| what was the number of points won by great britain ? | SELECT "points" FROM table_203_486 WHERE "team" = 'great britain' | SELECT "points" FROM "table_203_486" WHERE "team" = 'great britain' | 0.06543 |
CREATE TABLE PostTypes (Id NUMBER, Name CLOB)
CREATE TABLE PostTags (PostId NUMBER, TagId NUMBER)
CREATE TABLE PostHistoryTypes (Id NUMBER, Name 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 PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId NUMBER)
CREATE TABLE ReviewTaskTypes (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 ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId NUMBER)
CREATE TABLE TagSynonyms (Id NUMBER, SourceTagName CLOB, TargetTagName CLOB, CreationDate TIME, OwnerUserId NUMBER, AutoRenameCount NUMBER, LastAutoRename TIME, Score NUMBER, ApprovedByUserId NUMBER, ApprovalDate TIME)
CREATE TABLE Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount NUMBER)
CREATE TABLE ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
CREATE TABLE ReviewTaskStates (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostHistory (Id NUMBER, PostHistoryTypeId NUMBER, PostId NUMBER, RevisionGUID other, CreationDate TIME, UserId NUMBER, UserDisplayName CLOB, Comment CLOB, Text CLOB, ContentLicense CLOB)
CREATE TABLE Users (Id NUMBER, Reputation NUMBER, CreationDate TIME, DisplayName CLOB, LastAccessDate TIME, WebsiteUrl CLOB, Location CLOB, AboutMe CLOB, Views NUMBER, UpVotes NUMBER, DownVotes NUMBER, ProfileImageUrl CLOB, EmailHash CLOB, AccountId NUMBER)
CREATE TABLE PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
CREATE TABLE FlagTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
CREATE TABLE Comments (Id NUMBER, PostId NUMBER, Score NUMBER, Text CLOB, CreationDate TIME, UserDisplayName CLOB, UserId NUMBER, ContentLicense CLOB)
CREATE TABLE 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 PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
CREATE TABLE VoteTypes (Id NUMBER, Name CLOB)
CREATE TABLE ReviewTaskResultTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Posts (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE SuggestedEdits (Id NUMBER, PostId NUMBER, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId NUMBER, Comment CLOB, Text CLOB, Title CLOB, Tags CLOB, RevisionGUID other)
CREATE TABLE ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment CLOB)
CREATE TABLE CloseReasonTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId NUMBER)
| Get number of questions in a single month. | SELECT COUNT(Id) FROM Posts WHERE PostTypeId = 1 AND CreationDate > '2015-04-01' AND CreationDate < '2015-05-01' | SELECT COUNT("Id") FROM "Posts" WHERE "CreationDate" < '2015-05-01' AND "CreationDate" > '2015-04-01' AND "PostTypeId" = 1 | 0.119141 |
CREATE TABLE table_77902 ("Driver" CLOB, "Constructor" CLOB, "Laps" FLOAT, "Time/Retired" CLOB, "Grid" FLOAT)
| What is the top lap that had a tyre time? | SELECT MAX("Laps") FROM table_77902 WHERE "Time/Retired" = 'tyre' | SELECT MAX("Laps") FROM "table_77902" WHERE "Time/Retired" = 'tyre' | 0.06543 |
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 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_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 d_icd_diagnoses (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 chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom 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 cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
CREATE TABLE diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE prescriptions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, startdate TIME, enddate TIME, drug CLOB, dose_val_rx CLOB, dose_unit_rx CLOB, route CLOB)
CREATE TABLE transfers (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, eventtype CLOB, careunit CLOB, wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
| count the number of patients who are dead after being diagnosed with acq coagul factor defic during the same month. | SELECT COUNT(DISTINCT t2.subject_id) 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 = 'acq coagul factor defic')) AS t1 GROUP BY t1.subject_id HAVING MIN(t1.charttime) = t1.charttime) AS t2 JOIN (SELECT patients.subject_id, admissions.hadm_id, patients.dod FROM admissions JOIN patients ON patients.subject_id = admissions.subject_id WHERE NOT patients.dod IS NULL) AS t3 ON t2.subject_id = t3.subject_id WHERE DATETIME(t2.charttime, 'start of month') = DATETIME(t3.dod, 'start of month') | WITH "t2" 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" = 'acq coagul factor defic' JOIN "admissions" ON "admissions"."hadm_id" = "diagnoses_icd"."hadm_id" GROUP BY "admissions"."subject_id" HAVING "diagnoses_icd"."charttime" = MIN("diagnoses_icd"."charttime")), "t3" AS (SELECT "patients"."subject_id", "patients"."dod" FROM "admissions" JOIN "patients" ON "admissions"."subject_id" = "patients"."subject_id" AND NOT "patients"."dod" IS NULL) SELECT COUNT(DISTINCT "t2"."subject_id") FROM "t2" "t2" JOIN "t3" "t3" ON "t2"."subject_id" = "t3"."subject_id" AND DATETIME("t2"."charttime", 'start of month') = DATETIME("t3"."dod", 'start of month') | 0.789063 |
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE 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)
| provide the number of patients whose age is less than 54 and item id is 51032? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.age < "54" AND lab.itemid = "51032" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "lab" ON "51032" = "lab"."itemid" AND "demographic"."hadm_id" = "lab"."hadm_id" WHERE "54" > "demographic"."age" | 0.181641 |
CREATE TABLE table_20042805_2 (hadeda_ibis VARCHAR2, knobbilled_duck VARCHAR2)
| What is the Hadeda Ibis when the Knobbilled Duck is Pied Crow? | SELECT hadeda_ibis FROM table_20042805_2 WHERE knobbilled_duck = "Pied Crow" | SELECT "hadeda_ibis" FROM "table_20042805_2" WHERE "Pied Crow" = "knobbilled_duck" | 0.080078 |
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE 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 procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
| count the number of patients whose admission location is emergency room admit and procedure short title is closed liver biopsy? | 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 = "Closed liver biopsy" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "procedures" ON "Closed liver biopsy" = "procedures"."short_title" AND "demographic"."hadm_id" = "procedures"."hadm_id" WHERE "EMERGENCY ROOM ADMIT" = "demographic"."admission_location" | 0.25293 |
CREATE TABLE d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
CREATE TABLE outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
CREATE TABLE 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 microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
CREATE TABLE procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE 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_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
CREATE TABLE admissions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, admittime TIME, dischtime TIME, admission_type CLOB, admission_location CLOB, discharge_location CLOB, insurance CLOB, language CLOB, marital_status CLOB, ethnicity CLOB, age NUMBER)
CREATE TABLE 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 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 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)
| count the number of times that patient 73713 was prescribed 5% dextrose in this month. | SELECT COUNT(*) FROM prescriptions WHERE prescriptions.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 73713) AND prescriptions.drug = '5% dextrose' AND DATETIME(prescriptions.startdate, 'start of month') = DATETIME(CURRENT_TIME(), 'start of month', '-0 month') | WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 73713 GROUP BY "hadm_id") SELECT COUNT(*) FROM "prescriptions" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "prescriptions"."hadm_id" WHERE "prescriptions"."drug" = '5% dextrose' AND DATETIME("prescriptions"."startdate", 'start of month') = DATETIME(CURRENT_TIME(), 'start of month', '-0 month') AND NOT "_u_0"."" IS NULL | 0.40332 |
CREATE TABLE table_43422 ("Week" FLOAT, "Date" CLOB, "Opponent" CLOB, "Result" CLOB, "Attendance" CLOB)
| Which Attendance has an Opponent of carolina panthers? | SELECT "Attendance" FROM table_43422 WHERE "Opponent" = 'carolina panthers' | SELECT "Attendance" FROM "table_43422" WHERE "Opponent" = 'carolina panthers' | 0.075195 |
CREATE TABLE table_24370270_10 (final_weight__kg_ VARCHAR2, contestant VARCHAR2)
| What is the final weight for contestant Chris? | SELECT final_weight__kg_ FROM table_24370270_10 WHERE contestant = "Chris" | SELECT "final_weight__kg_" FROM "table_24370270_10" WHERE "Chris" = "contestant" | 0.078125 |
CREATE TABLE ship (TYPE VARCHAR2, Nationality VARCHAR2)
| What are the type and nationality of ships? | SELECT TYPE, Nationality FROM ship | SELECT "TYPE", "Nationality" FROM "ship" | 0.039063 |
CREATE TABLE table_name_26 (to_par VARCHAR2, player VARCHAR2)
| What is Tiger Woods' to par? | SELECT to_par FROM table_name_26 WHERE player = "tiger woods" | SELECT "to_par" FROM "table_name_26" WHERE "player" = "tiger woods" | 0.06543 |
CREATE TABLE table_name_2 (name VARCHAR2, since VARCHAR2, ends VARCHAR2, nat VARCHAR2)
| Which Name has Ends of 30 june 2010, and a Nation of eng, and Since larger than 2007? | SELECT name FROM table_name_2 WHERE ends = "30 june 2010" AND nat = "eng" AND since > 2007 | SELECT "name" FROM "table_name_2" WHERE "30 june 2010" = "ends" AND "eng" = "nat" AND "since" > 2007 | 0.097656 |
CREATE TABLE school_bus (School_ID NUMBER, Driver_ID NUMBER, Years_Working NUMBER, If_full_time BOOLEAN)
CREATE TABLE school (School_ID NUMBER, Grade CLOB, School CLOB, Location CLOB, Type CLOB)
CREATE TABLE driver (Driver_ID NUMBER, Name CLOB, Party CLOB, Home_city CLOB, Age NUMBER)
| Create a bar chart showing the total number across party, and show in asc by the X. | SELECT Party, COUNT(*) FROM driver GROUP BY Party ORDER BY Party | SELECT "Party", COUNT(*) FROM "driver" GROUP BY "Party" ORDER BY "Party" | 0.070313 |
CREATE TABLE prescriptions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, startdate TIME, enddate TIME, drug CLOB, dose_val_rx CLOB, dose_unit_rx CLOB, route CLOB)
CREATE TABLE labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE transfers (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, eventtype CLOB, careunit CLOB, wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
CREATE TABLE patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
CREATE TABLE 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 d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE 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 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 cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
| what is the totality of patient 27591's input until 1567 days ago? | SELECT SUM(inputevents_cv.amount) FROM inputevents_cv WHERE inputevents_cv.icustay_id IN (SELECT icustays.icustay_id FROM icustays WHERE icustays.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 27591)) AND DATETIME(inputevents_cv.charttime) <= DATETIME(CURRENT_TIME(), '-1567 day') | WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 27591 GROUP BY "hadm_id"), "_u_1" AS (SELECT "icustays"."icustay_id" FROM "icustays" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "icustays"."hadm_id" WHERE NOT "_u_0"."" IS NULL GROUP BY "icustay_id") SELECT SUM("inputevents_cv"."amount") FROM "inputevents_cv" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "inputevents_cv"."icustay_id" WHERE DATETIME("inputevents_cv"."charttime") <= DATETIME(CURRENT_TIME(), '-1567 day') AND NOT "_u_1"."" IS NULL | 0.521484 |
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 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 patient (uniquepid CLOB, patienthealthsystemstayid NUMBER, patientunitstayid NUMBER, gender CLOB, age CLOB, ethnicity CLOB, hospitalid NUMBER, wardid NUMBER, admissionheight NUMBER, admissionweight NUMBER, dischargeweight NUMBER, hospitaladmittime TIME, hospitaladmitsource CLOB, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus CLOB)
CREATE TABLE microlab (microlabid NUMBER, patientunitstayid NUMBER, culturesite CLOB, organism CLOB, culturetakentime TIME)
CREATE TABLE treatment (treatmentid NUMBER, patientunitstayid NUMBER, treatmentname CLOB, treatmenttime TIME)
CREATE TABLE 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)
| when was the first time in which patient 030-52327 had the maximum heartrate during yesterday? | SELECT vitalperiodic.observationtime FROM vitalperiodic WHERE vitalperiodic.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '030-52327')) AND NOT vitalperiodic.heartrate IS NULL AND DATETIME(vitalperiodic.observationtime, 'start of day') = DATETIME(CURRENT_TIME(), 'start of day', '-1 day') ORDER BY vitalperiodic.heartrate DESC, vitalperiodic.observationtime LIMIT 1 | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '030-52327' 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 "vitalperiodic"."observationtime" FROM "vitalperiodic" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "vitalperiodic"."patientunitstayid" WHERE DATETIME("vitalperiodic"."observationtime", 'start of day') = DATETIME(CURRENT_TIME(), 'start of day', '-1 day') AND NOT "_u_1"."" IS NULL AND NOT "vitalperiodic"."heartrate" IS NULL ORDER BY "vitalperiodic"."heartrate" DESC, "vitalperiodic"."observationtime" FETCH FIRST 1 ROWS ONLY | 0.762695 |
CREATE TABLE table_47396 ("Rank" FLOAT, "Rider" CLOB, "Team" CLOB, "Time" CLOB, "Speed" CLOB)
| Who was the rider with 120.953 mph speed? | SELECT "Rider" FROM table_47396 WHERE "Speed" = '120.953 mph' | SELECT "Rider" FROM "table_47396" WHERE "Speed" = '120.953 mph' | 0.061523 |
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 TABLE university (School_ID NUMBER, School CLOB, Location CLOB, Founded FLOAT, Affiliation CLOB, Enrollment FLOAT, Nickname CLOB, Primary_conference CLOB)
| Find All_Road and School_ID , and visualize them by a bar chart. | SELECT All_Road, School_ID FROM basketball_match | SELECT "All_Road", "School_ID" FROM "basketball_match" | 0.052734 |
CREATE TABLE table_36077 ("Series Ep." CLOB, "Episode" FLOAT, "Netflix" CLOB, "Segment A" CLOB, "Segment B" CLOB, "Segment C" CLOB, "Segment D" CLOB)
| Which series episode has a Netflix episode of S03E16? | SELECT "Series Ep." FROM table_36077 WHERE "Netflix" = 's03e16' | SELECT "Series Ep." FROM "table_36077" WHERE "Netflix" = 's03e16' | 0.063477 |
CREATE TABLE Customers (amount_outstanding NUMBER)
| What is maximum, minimum and average amount of outstanding of customer? | SELECT MAX(amount_outstanding), MIN(amount_outstanding), AVG(amount_outstanding) FROM Customers | SELECT MAX("amount_outstanding"), MIN("amount_outstanding"), AVG("amount_outstanding") FROM "Customers" | 0.100586 |
CREATE TABLE table_15924 ("Season" CLOB, "Network" CLOB, "Season premiere" CLOB, "Season finale" CLOB, "TV season" CLOB, "Ranking" CLOB, "Viewers ( in millions ) " CLOB)
| What was the ranking of the season finale aired on May 8, 2006? | SELECT "Ranking" FROM table_15924 WHERE "Season finale" = 'May 8, 2006' | SELECT "Ranking" FROM "table_15924" WHERE "Season finale" = 'May 8, 2006' | 0.071289 |
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 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)
| give me the number of emergency hospital admission patients who are taking drug via iv route. | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.admission_type = "EMERGENCY" AND prescriptions.route = "IV" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "prescriptions" ON "IV" = "prescriptions"."route" AND "demographic"."hadm_id" = "prescriptions"."hadm_id" WHERE "EMERGENCY" = "demographic"."admission_type" | 0.224609 |
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
| give me the number of patients whose gender is m and admission year is less than 2137? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.gender = "M" AND demographic.admityear < "2137" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "2137" > "demographic"."admityear" AND "M" = "demographic"."gender" | 0.138672 |
CREATE TABLE table_name_87 (grid VARCHAR2, team VARCHAR2)
| What is the Grid number for the Team from Italy? | SELECT COUNT(grid) FROM table_name_87 WHERE team = "italy" | SELECT COUNT("grid") FROM "table_name_87" WHERE "italy" = "team" | 0.0625 |
CREATE TABLE table_name_65 (rank VARCHAR2, events VARCHAR2)
| What is the rank where the events is 31? | SELECT rank FROM table_name_65 WHERE events = 31 | SELECT "rank" FROM "table_name_65" WHERE "events" = 31 | 0.052734 |
CREATE TABLE table_name_30 (population VARCHAR2, height__m_ VARCHAR2, area___ha__ VARCHAR2)
| What is the Population of the group that has a Height (m) of 15 and an Area (ha) of 00017 17? | SELECT population FROM table_name_30 WHERE height__m_ = 15 AND area___ha__ = "00017 17" | SELECT "population" FROM "table_name_30" WHERE "00017 17" = "area___ha__" AND "height__m_" = 15 | 0.092773 |
CREATE TABLE Reservations (Code NUMBER, Room CLOB, CheckIn CLOB, CheckOut CLOB, Rate FLOAT, LastName CLOB, FirstName CLOB, Adults NUMBER, Kids NUMBER)
CREATE TABLE Rooms (RoomId CLOB, roomName CLOB, beds NUMBER, bedType CLOB, maxOccupancy NUMBER, basePrice NUMBER, decor CLOB)
| How many rooms cost more than 120, for each different decor. Plot them as bar chart. | SELECT decor, COUNT(*) FROM Rooms WHERE basePrice > 120 GROUP BY decor | SELECT "decor", COUNT(*) FROM "Rooms" WHERE "basePrice" > 120 GROUP BY "decor" | 0.076172 |
CREATE TABLE comment_instructor (instructor_id NUMBER, student_id NUMBER, score NUMBER, comment_text VARCHAR2)
CREATE TABLE offering_instructor (offering_instructor_id NUMBER, offering_id NUMBER, instructor_id NUMBER)
CREATE TABLE student_record (student_id NUMBER, course_id NUMBER, semester NUMBER, grade VARCHAR2, how VARCHAR2, transfer_source VARCHAR2, earn_credit VARCHAR2, repeat_term VARCHAR2, test_id VARCHAR2)
CREATE TABLE course_prerequisite (pre_course_id NUMBER, course_id NUMBER)
CREATE TABLE program (program_id NUMBER, name VARCHAR2, college VARCHAR2, introduction 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 program_course (program_id NUMBER, course_id NUMBER, workload NUMBER, category VARCHAR2)
CREATE TABLE requirement (requirement_id NUMBER, requirement VARCHAR2, college VARCHAR2)
CREATE TABLE gsi (course_offering_id NUMBER, student_id NUMBER)
CREATE TABLE semester (semester_id NUMBER, semester VARCHAR2, year 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 area (course_id NUMBER, area VARCHAR2)
CREATE TABLE course_tags_count (course_id NUMBER, clear_grading NUMBER, pop_quiz NUMBER, group_projects NUMBER, inspirational NUMBER, long_lectures NUMBER, extra_credit NUMBER, few_tests NUMBER, good_feedback NUMBER, tough_tests NUMBER, heavy_papers NUMBER, cares_for_students NUMBER, heavy_assignments NUMBER, respected NUMBER, participation NUMBER, heavy_reading NUMBER, tough_grader NUMBER, hilarious NUMBER, would_take_again NUMBER, good_lecture NUMBER, no_skip NUMBER)
CREATE TABLE jobs (job_id NUMBER, job_title VARCHAR2, description VARCHAR2, requirement VARCHAR2, city VARCHAR2, state VARCHAR2, country VARCHAR2, zip NUMBER)
CREATE TABLE instructor (instructor_id NUMBER, name VARCHAR2, uniqname 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 ta (campus_job_id NUMBER, student_id NUMBER, location VARCHAR2)
| In next Winter , what are all the special topics classes ? | SELECT DISTINCT course.department, course.name, course.number FROM course INNER JOIN course_offering ON course.course_id = course_offering.course_id INNER JOIN semester ON semester.semester_id = course_offering.semester WHERE (course.number = 398 OR course.number = 498 OR course.number = 598) AND course.department = 'EECS' AND semester.semester = 'Winter' AND semester.year = 2017 | SELECT DISTINCT "course"."department", "course"."name", "course"."number" FROM "course" JOIN "course_offering" ON "course"."course_id" = "course_offering"."course_id" JOIN "semester" ON "course_offering"."semester" = "semester"."semester_id" AND "semester"."semester" = 'Winter' AND "semester"."year" = 2017 WHERE "course"."department" = 'EECS' AND ("course"."number" = 398 OR "course"."number" = 498 OR "course"."number" = 598) | 0.417969 |
CREATE TABLE table_name_97 (played NUMBER, pd_per_game VARCHAR2, loss VARCHAR2)
| Which Played has a PD per game larger than 6.28, and a Loss smaller than 4? | SELECT MIN(played) FROM table_name_97 WHERE pd_per_game > 6.28 AND loss < 4 | SELECT MIN("played") FROM "table_name_97" WHERE "loss" < 4 AND "pd_per_game" > 6.28 | 0.081055 |
CREATE TABLE table_15319684_1 (against VARCHAR2, team VARCHAR2)
| Name the number of against for portuguesa santista | SELECT COUNT(against) FROM table_15319684_1 WHERE team = "Portuguesa Santista" | SELECT COUNT("against") FROM "table_15319684_1" WHERE "Portuguesa Santista" = "team" | 0.082031 |
CREATE TABLE table_name_93 (league_goals VARCHAR2, fa_cup_goals VARCHAR2, league_apps VARCHAR2)
| How many league goals did the player with 10 league apps and 0 FA cup goals have? | SELECT COUNT(league_goals) FROM table_name_93 WHERE fa_cup_goals = 0 AND league_apps = "10" | SELECT COUNT("league_goals") FROM "table_name_93" WHERE "10" = "league_apps" AND "fa_cup_goals" = 0 | 0.09668 |
CREATE TABLE table_name_38 (game VARCHAR2, score VARCHAR2, points VARCHAR2)
| How many Games have a Score of 2 6, and Points larger than 62? | SELECT COUNT(game) FROM table_name_38 WHERE score = "2–6" AND points > 62 | SELECT COUNT("game") FROM "table_name_38" WHERE "2–6" = "score" AND "points" > 62 | 0.079102 |
CREATE TABLE table_204_530 (id NUMBER, "type" CLOB, "stage" NUMBER, "cyclist" CLOB, "team" CLOB, "reason" CLOB)
| what cyclist is listed next after matteo ? | SELECT "cyclist" FROM table_204_530 WHERE id = (SELECT id FROM table_204_530 WHERE "cyclist" = 'matteo bono') + 1 | SELECT "cyclist" FROM "table_204_530" WHERE "id" = (SELECT "id" FROM "table_204_530" WHERE "cyclist" = 'matteo bono') + 1 | 0.118164 |
CREATE TABLE table_204_608 (id NUMBER, "name" CLOB, "elected party" CLOB, "constituency" CLOB, "elected date" CLOB, "military service" CLOB)
| what is the number of members that served in the royal canadian air force ? | SELECT COUNT("name") FROM table_204_608 WHERE "military service" = 'royal canadian air force' | SELECT COUNT("name") FROM "table_204_608" WHERE "military service" = 'royal canadian air force' | 0.092773 |
CREATE TABLE table_14603212_5 (school_year VARCHAR2, class_aAA VARCHAR2, Argyle VARCHAR2)
| What are the school years where class 'AAA' is argyle? | SELECT school_year FROM table_14603212_5 WHERE class_aAA = Argyle | SELECT "school_year" FROM "table_14603212_5" WHERE "Argyle" = "class_aAA" | 0.071289 |
CREATE TABLE table_203_405 (id NUMBER, "week" NUMBER, "date" CLOB, "opponent" CLOB, "result" CLOB, "attendance" NUMBER)
| how many games did the eagles win after december 1 , 1968 ? | SELECT COUNT(*) FROM table_203_405 WHERE "result" = 'w' AND "date" >= 12 | SELECT COUNT(*) FROM "table_203_405" WHERE "date" >= 12 AND "result" = 'w' | 0.072266 |
CREATE TABLE patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
CREATE TABLE d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
CREATE TABLE microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
CREATE TABLE 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 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 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 cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost 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 inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
CREATE TABLE d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE 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 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 diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
| calculate the number of patients who were tested for blood (toxo) microbiology in this year. | SELECT COUNT(DISTINCT admissions.subject_id) FROM admissions WHERE admissions.hadm_id IN (SELECT microbiologyevents.hadm_id FROM microbiologyevents WHERE microbiologyevents.spec_type_desc = 'blood (toxo)' AND DATETIME(microbiologyevents.charttime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-0 year')) | WITH "_u_0" AS (SELECT "microbiologyevents"."hadm_id" FROM "microbiologyevents" WHERE "microbiologyevents"."spec_type_desc" = 'blood (toxo)' AND DATETIME("microbiologyevents"."charttime", 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-0 year') GROUP BY "hadm_id") SELECT COUNT(DISTINCT "admissions"."subject_id") FROM "admissions" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "admissions"."hadm_id" WHERE NOT "_u_0"."" IS NULL | 0.425781 |
CREATE TABLE table_204_761 (id NUMBER, "rank" NUMBER, "nation" CLOB, "gold" NUMBER, "silver" NUMBER, "bronze" NUMBER, "total" NUMBER)
| which nation has won the most silver medals in the biathlon at the winter paralympics ? | SELECT "nation" FROM table_204_761 ORDER BY "silver" DESC LIMIT 1 | SELECT "nation" FROM "table_204_761" ORDER BY "silver" DESC FETCH FIRST 1 ROWS ONLY | 0.081055 |
CREATE TABLE table_23497 ("Ostrich" CLOB, "Hamerkop" CLOB, "Hadeda Ibis" CLOB, "African Spoonbill" CLOB, "Whitefaced Duck" CLOB, "Knobbilled Duck" CLOB)
| What is the Hadeda Ibis when the Whitefaced Duck is Blacksmith Plover? | SELECT "Hadeda Ibis" FROM table_23497 WHERE "Whitefaced Duck" = 'Blacksmith Plover' | SELECT "Hadeda Ibis" FROM "table_23497" WHERE "Whitefaced Duck" = 'Blacksmith Plover' | 0.083008 |
CREATE TABLE cost (costid NUMBER, uniquepid CLOB, patienthealthsystemstayid NUMBER, eventtype CLOB, eventid NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE vitalperiodic (vitalperiodicid NUMBER, patientunitstayid NUMBER, temperature NUMBER, sao2 NUMBER, heartrate NUMBER, respiration NUMBER, systemicsystolic NUMBER, systemicdiastolic NUMBER, systemicmean NUMBER, observationtime TIME)
CREATE TABLE diagnosis (diagnosisid NUMBER, patientunitstayid NUMBER, diagnosisname CLOB, diagnosistime TIME, icd9code CLOB)
CREATE TABLE 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 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 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 allergy (allergyid NUMBER, patientunitstayid NUMBER, drugname CLOB, allergyname CLOB, allergytime TIME)
CREATE TABLE treatment (treatmentid NUMBER, patientunitstayid NUMBER, treatmentname CLOB, treatmenttime TIME)
| what are the four most common lab tests among the patients aged 50s in 2101? | SELECT t1.labname FROM (SELECT lab.labname, DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS c1 FROM lab WHERE lab.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.age BETWEEN 50 AND 59) AND STRFTIME('%y', lab.labresulttime) = '2101' GROUP BY lab.labname) AS t1 WHERE t1.c1 <= 4 | WITH "_u_0" AS (SELECT "patient"."patientunitstayid" FROM "patient" WHERE "patient"."age" <= 59 AND "patient"."age" >= 50 GROUP BY "patientunitstayid"), "t1" AS (SELECT "lab"."labname", DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS "c1" FROM "lab" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "lab"."patientunitstayid" WHERE NOT "_u_0"."" IS NULL AND STRFTIME('%y', "lab"."labresulttime") = '2101' GROUP BY "lab"."labname") SELECT "t1"."labname" FROM "t1" "t1" WHERE "t1"."c1" <= 4 | 0.463867 |
CREATE TABLE Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
CREATE TABLE PostHistoryTypes (Id NUMBER, Name CLOB)
CREATE TABLE SuggestedEditVotes (Id NUMBER, SuggestedEditId NUMBER, UserId NUMBER, VoteTypeId NUMBER, CreationDate TIME, TargetUserId NUMBER, TargetRepChange NUMBER)
CREATE TABLE PendingFlags (Id NUMBER, FlagTypeId NUMBER, PostId NUMBER, CreationDate TIME, CloseReasonTypeId NUMBER, CloseAsOffTopicReasonTypeId NUMBER, DuplicateOfQuestionId NUMBER, BelongsOnBaseHostAddress CLOB)
CREATE TABLE PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
CREATE TABLE PostTags (PostId NUMBER, TagId 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 ReviewTaskStates (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostTypes (Id NUMBER, Name CLOB)
CREATE TABLE ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId NUMBER)
CREATE TABLE FlagTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
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 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 ReviewTaskResultTypes (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 PostHistory (Id NUMBER, PostHistoryTypeId NUMBER, PostId NUMBER, RevisionGUID other, CreationDate TIME, UserId NUMBER, UserDisplayName CLOB, Comment CLOB, Text CLOB, ContentLicense CLOB)
CREATE TABLE ReviewTaskTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE 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 PostsWithDeleted (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount NUMBER)
CREATE TABLE PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId NUMBER)
CREATE TABLE PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId 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 TagSynonyms (Id NUMBER, SourceTagName CLOB, TargetTagName CLOB, CreationDate TIME, OwnerUserId NUMBER, AutoRenameCount NUMBER, LastAutoRename TIME, Score NUMBER, ApprovedByUserId NUMBER, ApprovalDate TIME)
CREATE TABLE Posts (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE CloseReasonTypes (Id NUMBER, Name CLOB, Description CLOB)
| The lastest questions and answers. | SELECT t1.Id, t1.ParentId, t1.PostTypeId, t1.CreationDate, t1.AcceptedAnswerId, t1.ViewCount, t1.Title, t1.Body, t1.Score, t2.PostTypeId, t2.CreationDate, t2.ViewCount, t2.Title, t2.Body, t2.Score, t1.OwnerUserId, Users.Id, Users.Reputation FROM Posts AS t1 INNER JOIN Posts AS t2 ON t2.Id = t1.ParentId INNER JOIN Users ON t2.OwnerUserId = Users.Id WHERE t2.CreationDate LIKE '%2015%' ORDER BY t2.CreationDate DESC | SELECT "t1"."Id", "t1"."ParentId", "t1"."PostTypeId", "t1"."CreationDate", "t1"."AcceptedAnswerId", "t1"."ViewCount", "t1"."Title", "t1"."Body", "t1"."Score", "t2"."PostTypeId", "t2"."CreationDate", "t2"."ViewCount", "t2"."Title", "t2"."Body", "t2"."Score", "t1"."OwnerUserId", "Users"."Id", "Users"."Reputation" FROM "Posts" "t1" JOIN "Posts" "t2" ON "t1"."ParentId" = "t2"."Id" AND "t2"."CreationDate" LIKE '%2015%' JOIN "Users" ON "Users"."Id" = "t2"."OwnerUserId" ORDER BY "t2"."CreationDate" DESC | 0.489258 |
CREATE TABLE CloseReasonTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Users (Id NUMBER, Reputation NUMBER, CreationDate TIME, DisplayName CLOB, LastAccessDate TIME, WebsiteUrl CLOB, Location CLOB, AboutMe CLOB, Views NUMBER, UpVotes NUMBER, DownVotes NUMBER, ProfileImageUrl CLOB, EmailHash CLOB, AccountId NUMBER)
CREATE TABLE TagSynonyms (Id NUMBER, SourceTagName CLOB, TargetTagName CLOB, CreationDate TIME, OwnerUserId NUMBER, AutoRenameCount NUMBER, LastAutoRename TIME, Score NUMBER, ApprovedByUserId NUMBER, ApprovalDate TIME)
CREATE TABLE ReviewTaskStates (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostTypes (Id NUMBER, Name 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 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 PostHistory (Id NUMBER, PostHistoryTypeId NUMBER, PostId NUMBER, RevisionGUID other, CreationDate TIME, UserId NUMBER, UserDisplayName CLOB, Comment CLOB, Text CLOB, ContentLicense CLOB)
CREATE TABLE Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
CREATE TABLE PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
CREATE TABLE FlagTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId NUMBER)
CREATE TABLE ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
CREATE TABLE ReviewTaskResultTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount NUMBER)
CREATE TABLE PostHistoryTypes (Id NUMBER, Name 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 SuggestedEdits (Id NUMBER, PostId NUMBER, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId NUMBER, Comment CLOB, Text CLOB, Title CLOB, Tags CLOB, RevisionGUID other)
CREATE TABLE PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
CREATE TABLE ReviewTaskTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId NUMBER)
CREATE TABLE PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId NUMBER)
CREATE TABLE VoteTypes (Id NUMBER, Name CLOB)
CREATE TABLE Comments (Id NUMBER, PostId NUMBER, Score NUMBER, Text CLOB, CreationDate TIME, UserDisplayName CLOB, UserId NUMBER, ContentLicense CLOB)
CREATE TABLE PendingFlags (Id NUMBER, FlagTypeId NUMBER, PostId NUMBER, CreationDate TIME, CloseReasonTypeId NUMBER, CloseAsOffTopicReasonTypeId NUMBER, DuplicateOfQuestionId NUMBER, BelongsOnBaseHostAddress CLOB)
CREATE TABLE Posts (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment CLOB)
CREATE TABLE SuggestedEditVotes (Id NUMBER, SuggestedEditId NUMBER, UserId NUMBER, VoteTypeId NUMBER, CreationDate TIME, TargetUserId NUMBER, TargetRepChange NUMBER)
| Who has the most downvotes?. | SELECT DisplayName, DownVotes, UpVotes FROM Users WHERE DownVotes > 1 ORDER BY DownVotes DESC | SELECT "DisplayName", "DownVotes", "UpVotes" FROM "Users" WHERE "DownVotes" > 1 ORDER BY "DownVotes" DESC | 0.102539 |
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)
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 female patients iare of white russian ethnicity? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.gender = "F" AND demographic.ethnicity = "WHITE - RUSSIAN" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "F" = "demographic"."gender" AND "WHITE - RUSSIAN" = "demographic"."ethnicity" | 0.149414 |
CREATE TABLE PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
CREATE TABLE PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
CREATE TABLE SuggestedEdits (Id NUMBER, PostId NUMBER, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId NUMBER, Comment CLOB, Text CLOB, Title CLOB, Tags CLOB, RevisionGUID other)
CREATE TABLE Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
CREATE TABLE ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
CREATE TABLE PostTypes (Id NUMBER, Name CLOB)
CREATE TABLE ReviewTaskStates (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE CloseReasonTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostHistory (Id NUMBER, PostHistoryTypeId NUMBER, PostId NUMBER, RevisionGUID other, CreationDate TIME, UserId NUMBER, UserDisplayName CLOB, Comment CLOB, Text CLOB, ContentLicense CLOB)
CREATE TABLE 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 FlagTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE TagSynonyms (Id NUMBER, SourceTagName CLOB, TargetTagName CLOB, CreationDate TIME, OwnerUserId NUMBER, AutoRenameCount NUMBER, LastAutoRename TIME, Score NUMBER, ApprovedByUserId NUMBER, ApprovalDate TIME)
CREATE TABLE PostHistoryTypes (Id NUMBER, Name CLOB)
CREATE TABLE PostsWithDeleted (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId NUMBER)
CREATE TABLE PendingFlags (Id NUMBER, FlagTypeId NUMBER, PostId NUMBER, CreationDate TIME, CloseReasonTypeId NUMBER, CloseAsOffTopicReasonTypeId NUMBER, DuplicateOfQuestionId NUMBER, BelongsOnBaseHostAddress CLOB)
CREATE TABLE PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId NUMBER)
CREATE TABLE SuggestedEditVotes (Id NUMBER, SuggestedEditId NUMBER, UserId NUMBER, VoteTypeId NUMBER, CreationDate TIME, TargetUserId NUMBER, TargetRepChange NUMBER)
CREATE TABLE VoteTypes (Id NUMBER, Name CLOB)
CREATE TABLE ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId NUMBER)
CREATE TABLE 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 Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId 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 Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount NUMBER)
CREATE TABLE CloseAsOffTopicReasonTypes (Id NUMBER, IsUniversal BOOLEAN, InputTitle CLOB, MarkdownInputGuidance CLOB, MarkdownPostOwnerGuidance CLOB, MarkdownPrivilegedUserGuidance CLOB, MarkdownConcensusDescription CLOB, CreationDate TIME, CreationModeratorId NUMBER, ApprovalDate TIME, ApprovalModeratorId NUMBER, DeactivationDate TIME, DeactivationModeratorId NUMBER)
CREATE TABLE ReviewTaskResultTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE ReviewTaskTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostTags (PostId NUMBER, TagId NUMBER)
| Distribution of question counts over users. | SELECT cnt, COUNT(*) FROM (SELECT OwnerUserId, COUNT(*) AS cnt FROM Posts INNER JOIN Users ON Users.Id = Posts.OwnerUserId WHERE PostTypeId = 1 AND Users.Reputation > 500 GROUP BY OwnerUserId) AS results GROUP BY cnt HAVING cnt < 30000 | WITH "results" AS (SELECT MAX(1) AS "_" FROM "Posts" JOIN "Users" ON "Posts"."OwnerUserId" = "Users"."Id" AND "Users"."Reputation" > 500 WHERE "PostTypeId" = 1 GROUP BY "OwnerUserId") SELECT "cnt", COUNT(*) FROM "results" "results" GROUP BY "cnt" HAVING "cnt" < 30000 | 0.260742 |
CREATE TABLE table_204_98 (id NUMBER, "year" NUMBER, "competition" CLOB, "venue" CLOB, "position" CLOB, "event" CLOB, "notes" CLOB)
| how long did luis jesus take to finish in turin , italy in 1998 ? | SELECT "notes" FROM table_204_98 WHERE "year" = 1998 | SELECT "notes" FROM "table_204_98" WHERE "year" = 1998 | 0.052734 |
CREATE TABLE instructor (ID VARCHAR2, name VARCHAR2, dept_name VARCHAR2, salary NUMBER)
CREATE TABLE department (dept_name VARCHAR2, building VARCHAR2, budget NUMBER)
CREATE TABLE teaches (ID VARCHAR2, course_id VARCHAR2, sec_id VARCHAR2, semester VARCHAR2, year NUMBER)
CREATE TABLE course (course_id VARCHAR2, title VARCHAR2, dept_name VARCHAR2, credits NUMBER)
CREATE TABLE time_slot (time_slot_id VARCHAR2, day VARCHAR2, start_hr NUMBER, start_min NUMBER, end_hr NUMBER, end_min NUMBER)
CREATE TABLE advisor (s_ID VARCHAR2, i_ID VARCHAR2)
CREATE TABLE student (ID VARCHAR2, name VARCHAR2, dept_name VARCHAR2, tot_cred NUMBER)
CREATE TABLE takes (ID VARCHAR2, course_id VARCHAR2, sec_id VARCHAR2, semester VARCHAR2, year NUMBER, grade VARCHAR2)
CREATE TABLE prereq (course_id VARCHAR2, prereq_id VARCHAR2)
CREATE TABLE section (course_id VARCHAR2, sec_id VARCHAR2, semester VARCHAR2, year NUMBER, building VARCHAR2, room_number VARCHAR2, time_slot_id VARCHAR2)
CREATE TABLE classroom (building VARCHAR2, room_number VARCHAR2, capacity NUMBER)
| Return a bar chart about the distribution of dept_name and the sum of salary , and group by attribute dept_name. | SELECT dept_name, SUM(salary) FROM instructor GROUP BY dept_name ORDER BY salary | SELECT "dept_name", SUM("salary") FROM "instructor" GROUP BY "dept_name" ORDER BY "salary" | 0.087891 |
CREATE TABLE table_name_87 (title VARCHAR2, podcast_date VARCHAR2)
| What is the name of the podcast on November 21, 2004? | SELECT title FROM table_name_87 WHERE podcast_date = "november 21, 2004" | SELECT "title" FROM "table_name_87" WHERE "november 21, 2004" = "podcast_date" | 0.076172 |
CREATE TABLE table_35235 ("Date" CLOB, "Venue" CLOB, "Score" CLOB, "Result" CLOB, "Competition" CLOB)
| What was the score of the match on December 19, 2009? | SELECT "Score" FROM table_35235 WHERE "Date" = 'december 19, 2009' | SELECT "Score" FROM "table_35235" WHERE "Date" = 'december 19, 2009' | 0.066406 |
CREATE TABLE table_77432 ("Year" FLOAT, "Starts" FLOAT, "Wins" FLOAT, "Top 5" FLOAT, "Top 10" FLOAT, "Poles" FLOAT, "Avg. Start" FLOAT, "Avg. Finish" FLOAT, "Winnings" CLOB, "Position" CLOB, "Team ( s ) " CLOB)
| How many top 10s belong to the team with a start of 7 and an average finish less than 16.7? | SELECT COUNT("Top 10") FROM table_77432 WHERE "Starts" = '7' AND "Avg. Finish" < '16.7' | SELECT COUNT("Top 10") FROM "table_77432" WHERE "Avg. Finish" < '16.7' AND "Starts" = '7' | 0.086914 |
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
| give me the number of patients whose admission year is less than 2112 and diagnoses long title is retained plastic fragments? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.admityear < "2112" AND diagnoses.long_title = "Retained plastic fragments" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "Retained plastic fragments" = "diagnoses"."long_title" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" WHERE "2112" > "demographic"."admityear" | 0.231445 |
CREATE TABLE table_19189856_1 (performer VARCHAR2, last_performance VARCHAR2)
| who was the performer that did last performance on 04/08/1963 | SELECT performer FROM table_19189856_1 WHERE last_performance = "04/08/1963" | SELECT "performer" FROM "table_19189856_1" WHERE "04/08/1963" = "last_performance" | 0.080078 |
CREATE TABLE table_42608 ("Condition" CLOB, "Prothrombin time" CLOB, "Partial thromboplastin time" CLOB, "Bleeding time" CLOB, "Platelet count" CLOB)
| Which Platelet count has a Partial thromboplastin time of prolonged or unaffected? | SELECT "Platelet count" FROM table_42608 WHERE "Partial thromboplastin time" = 'prolonged or unaffected' | SELECT "Platelet count" FROM "table_42608" WHERE "Partial thromboplastin time" = 'prolonged or unaffected' | 0.103516 |
CREATE TABLE table_name_58 (artist VARCHAR2, draw NUMBER)
| Which artist has a draw greater than 15? | SELECT artist FROM table_name_58 WHERE draw > 15 | SELECT "artist" FROM "table_name_58" WHERE "draw" > 15 | 0.052734 |
CREATE TABLE table_2524 ("Rank" FLOAT, "School" CLOB, "Basic Elements" FLOAT, "Tumbling" FLOAT, "Stunts" CLOB, "Pyramids" CLOB, "Tosses" CLOB, "Deductions" CLOB, "Total" CLOB)
| What is every school with basic elements of 52? | SELECT "School" FROM table_2524 WHERE "Basic Elements" = '52' | SELECT "School" FROM "table_2524" WHERE "Basic Elements" = '52' | 0.061523 |
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
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)
| count the number of patients whose procedure long title is (aorto)coronary bypass of three coronary arteries? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE procedures.long_title = "(Aorto)coronary bypass of three coronary arteries" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "procedures" ON "(Aorto)coronary bypass of three coronary arteries" = "procedures"."long_title" AND "demographic"."hadm_id" = "procedures"."hadm_id" | 0.216797 |
CREATE TABLE table_name_46 (multi_1 VARCHAR2, model_number VARCHAR2)
| What is the multi 1 for the Athlon x2 BE-2400? | SELECT multi_1 FROM table_name_46 WHERE model_number = "athlon x2 be-2400" | SELECT "multi_1" FROM "table_name_46" WHERE "athlon x2 be-2400" = "model_number" | 0.078125 |
CREATE TABLE table_name_74 (lane NUMBER, name VARCHAR2)
| what lane did inna nikitina have? | SELECT MAX(lane) FROM table_name_74 WHERE name = "inna nikitina" | SELECT MAX("lane") FROM "table_name_74" WHERE "inna nikitina" = "name" | 0.068359 |
CREATE TABLE table_2362486_1 (opponents_in_the_final VARCHAR2, score_in_the_final VARCHAR2)
| Who were the opponents in the final where the score was 6 4, 2 6, 6 4, 7 6(3)? | SELECT opponents_in_the_final FROM table_2362486_1 WHERE score_in_the_final = "6–4, 2–6, 6–4, 7–6(3)" | SELECT "opponents_in_the_final" FROM "table_2362486_1" WHERE "6–4, 2–6, 6–4, 7–6(3)" = "score_in_the_final" | 0.104492 |
CREATE TABLE table_name_77 (score VARCHAR2, result VARCHAR2)
| Which item resulted in a score of 4-1? | SELECT score FROM table_name_77 WHERE result = "4-1" | SELECT "score" FROM "table_name_77" WHERE "4-1" = "result" | 0.056641 |
CREATE TABLE table_11100 ("Home team" CLOB, "Home team score" CLOB, "Away team" CLOB, "Away team score" CLOB, "Venue" CLOB, "Crowd" FLOAT, "Date" CLOB)
| When the home team was geelong, what did the away team score? | SELECT "Away team score" FROM table_11100 WHERE "Home team" = 'geelong' | SELECT "Away team score" FROM "table_11100" WHERE "Home team" = 'geelong' | 0.071289 |
CREATE TABLE table_name_72 (venue VARCHAR2, competition VARCHAR2, year VARCHAR2, event VARCHAR2)
| Which Venue has a Year smaller than 2009, and an Event of 3000 m, and a Competition of world youth championships? | SELECT venue FROM table_name_72 WHERE year < 2009 AND event = "3000 m" AND competition = "world youth championships" | SELECT "venue" FROM "table_name_72" WHERE "3000 m" = "event" AND "competition" = "world youth championships" AND "year" < 2009 | 0.123047 |
CREATE TABLE table_11677100_4 (hometown VARCHAR2, school VARCHAR2)
| What town is Brighton High School in? | SELECT hometown FROM table_11677100_4 WHERE school = "Brighton High school" | SELECT "hometown" FROM "table_11677100_4" WHERE "Brighton High school" = "school" | 0.079102 |
CREATE TABLE table_204_288 (id NUMBER, "region" CLOB, "seed" NUMBER, "team" CLOB, "coach" CLOB, "finished" CLOB, "final opponent" CLOB, "score" CLOB)
| how many west teams did final opponent arizona state play ? | SELECT COUNT("team") FROM table_204_288 WHERE "region" = 'west' AND "final opponent" = 'arizona state' | SELECT COUNT("team") FROM "table_204_288" WHERE "final opponent" = 'arizona state' AND "region" = 'west' | 0.101563 |
CREATE TABLE table_20815 ("Pick #" FLOAT, "CFL Team" CLOB, "Player" CLOB, "Position" CLOB, "College" CLOB)
| Which positions had players from Laval college | SELECT "Position" FROM table_20815 WHERE "College" = 'Laval' | SELECT "Position" FROM "table_20815" WHERE "College" = 'Laval' | 0.060547 |
CREATE TABLE table_30172 ("Round" CLOB, "Main date" CLOB, "Number of fixtures" FLOAT, "Clubs" CLOB, "New entries this round" CLOB, "Prize money" CLOB, "Player of the Round" CLOB)
| What is the round when the prize money is 7,500? | SELECT "Round" FROM table_30172 WHERE "Prize money" = '£7,500' | SELECT "Round" FROM "table_30172" WHERE "Prize money" = '£7,500' | 0.0625 |
CREATE TABLE table_52780 ("Place ( Posici\\u00f3n ) " FLOAT, "Team ( Equipo ) " CLOB, "Played ( PJ ) " FLOAT, "Won ( PG ) " FLOAT, "Draw ( PE ) " FLOAT, "Lost ( PP ) " FLOAT, "Goals Scored ( GF ) " FLOAT, "Goals Conceded ( GC ) " FLOAT, "+/- ( Dif. ) " FLOAT, "Points ( Pts. ) " FLOAT)
| What is the points for a team with more than 9 wins and more than 40 goals? | SELECT SUM("Points (Pts.)") FROM table_52780 WHERE "Won (PG)" > '9' AND "Goals Scored (GF)" > '40' | SELECT SUM("Points (Pts.)") FROM "table_52780" WHERE "Goals Scored (GF)" > '40' AND "Won (PG)" > '9' | 0.097656 |
CREATE TABLE table_name_44 (attendance VARCHAR2, date VARCHAR2)
| How many people attended the game on May 10? | SELECT COUNT(attendance) FROM table_name_44 WHERE date = "may 10" | SELECT COUNT("attendance") FROM "table_name_44" WHERE "date" = "may 10" | 0.069336 |
CREATE TABLE table_name_63 (usn_2013 NUMBER, cnn_2011 VARCHAR2, bw_2013 VARCHAR2, forbes_2011 VARCHAR2)
| What is the USN 2013 ranking with a BW 2013 ranking less than 1000, a Forbes 2011 ranking larger than 17, and a CNN 2011 ranking less than 13? | SELECT SUM(usn_2013) FROM table_name_63 WHERE bw_2013 < 1000 AND forbes_2011 > 17 AND cnn_2011 < 13 | SELECT SUM("usn_2013") FROM "table_name_63" WHERE "bw_2013" < 1000 AND "cnn_2011" < 13 AND "forbes_2011" > 17 | 0.106445 |
CREATE TABLE table_name_76 (score_in_the_final VARCHAR2, date VARCHAR2)
| What score in the final has november 3, 2002 as the date? | SELECT score_in_the_final FROM table_name_76 WHERE date = "november 3, 2002" | SELECT "score_in_the_final" FROM "table_name_76" WHERE "date" = "november 3, 2002" | 0.080078 |
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