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CREATE TABLE Lessons (staff_id VARCHAR2)
CREATE TABLE Staff (staff_id VARCHAR2, first_name VARCHAR2, last_name VARCHAR2)
| What is average lesson price taught by staff with first name as Janessa and last name as Sawayn? | SELECT AVG(price) FROM Lessons AS T1 JOIN Staff AS T2 ON T1.staff_id = T2.staff_id WHERE T2.first_name = "Janessa" AND T2.last_name = "Sawayn" | SELECT AVG("price") FROM "Lessons" "T1" JOIN "Staff" "T2" ON "Janessa" = "T2"."first_name" AND "Sawayn" = "T2"."last_name" AND "T1"."staff_id" = "T2"."staff_id" | 0.15625 |
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
| what is minimum age of patients whose ethnicity is asian and days of hospital stay is 26? | SELECT MIN(demographic.age) FROM demographic WHERE demographic.ethnicity = "ASIAN" AND demographic.days_stay = "26" | SELECT MIN("demographic"."age") FROM "demographic" WHERE "26" = "demographic"."days_stay" AND "ASIAN" = "demographic"."ethnicity" | 0.125977 |
CREATE TABLE table_57556 ("Runs" CLOB, "Against" CLOB, "City/Country" CLOB, "Venue" CLOB, "Result" CLOB, "Year" CLOB)
| Name the place where adelaide oval is | SELECT "City/Country" FROM table_57556 WHERE "Venue" = 'adelaide oval' | SELECT "City/Country" FROM "table_57556" WHERE "Venue" = 'adelaide oval' | 0.070313 |
CREATE TABLE table_name_1 (mintage VARCHAR2, theme VARCHAR2)
| How many cowboy coins were minted? | SELECT mintage FROM table_name_1 WHERE theme = "cowboy" | SELECT "mintage" FROM "table_name_1" WHERE "cowboy" = "theme" | 0.05957 |
CREATE TABLE table_name_77 (date VARCHAR2, loser VARCHAR2, result VARCHAR2)
| Which date had a loser of New York Giants and a result of 23-17? | SELECT date FROM table_name_77 WHERE loser = "new york giants" AND result = "23-17" | SELECT "date" FROM "table_name_77" WHERE "23-17" = "result" AND "loser" = "new york giants" | 0.088867 |
CREATE TABLE table_19041 ("Episode" CLOB, "Original Air Date" CLOB, "Viewers ( millions ) " CLOB, "Presenter" CLOB, "Location" CLOB)
| Where was held the ceremony for the 12th Pride of Britain Awards? | SELECT "Location" FROM table_19041 WHERE "Episode" = '12th Pride of Britain Awards' | SELECT "Location" FROM "table_19041" WHERE "Episode" = '12th Pride of Britain Awards' | 0.083008 |
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE 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)
| give me the number of patients whose age is less than 48 and diagnoses long title is vascular hamartomas? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.age < "48" AND diagnoses.long_title = "Vascular hamartomas" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "Vascular hamartomas" = "diagnoses"."long_title" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" WHERE "48" > "demographic"."age" | 0.216797 |
CREATE TABLE news_report (journalist_ID NUMBER, Event_ID NUMBER, Work_Type CLOB)
CREATE TABLE event (Event_ID NUMBER, Date CLOB, Venue CLOB, Name CLOB, Event_Attendance NUMBER)
CREATE TABLE journalist (journalist_ID NUMBER, Name CLOB, Nationality CLOB, Age CLOB, Years_working NUMBER)
| Bar chart of sum age from each nationality, and display by the x axis from high to low. | SELECT Nationality, SUM(Age) FROM journalist GROUP BY Nationality ORDER BY Nationality DESC | SELECT "Nationality", SUM("Age") FROM "journalist" GROUP BY "Nationality" ORDER BY "Nationality" DESC | 0.098633 |
CREATE TABLE table_38216 ("Date" CLOB, "Venue" CLOB, "Score" CLOB, "Result" CLOB, "Competition" CLOB)
| Which competition was in Dubai? | SELECT "Competition" FROM table_38216 WHERE "Venue" = 'dubai' | SELECT "Competition" FROM "table_38216" WHERE "Venue" = 'dubai' | 0.061523 |
CREATE TABLE PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
CREATE TABLE PostHistory (Id NUMBER, PostHistoryTypeId NUMBER, PostId NUMBER, RevisionGUID other, CreationDate TIME, UserId NUMBER, UserDisplayName CLOB, Comment CLOB, Text CLOB, ContentLicense CLOB)
CREATE TABLE 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 ReviewTaskStates (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment CLOB)
CREATE TABLE PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId NUMBER)
CREATE TABLE TagSynonyms (Id NUMBER, SourceTagName CLOB, TargetTagName CLOB, CreationDate TIME, OwnerUserId NUMBER, AutoRenameCount NUMBER, LastAutoRename TIME, Score NUMBER, ApprovedByUserId NUMBER, ApprovalDate TIME)
CREATE TABLE PostTags (PostId NUMBER, TagId NUMBER)
CREATE TABLE PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId NUMBER)
CREATE TABLE PostHistoryTypes (Id NUMBER, Name CLOB)
CREATE TABLE Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount NUMBER)
CREATE TABLE ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId NUMBER)
CREATE TABLE CloseReasonTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE ReviewTaskTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE SuggestedEdits (Id NUMBER, PostId NUMBER, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId NUMBER, Comment CLOB, Text CLOB, Title CLOB, Tags CLOB, RevisionGUID other)
CREATE TABLE Comments (Id NUMBER, PostId NUMBER, Score NUMBER, Text CLOB, CreationDate TIME, UserDisplayName CLOB, UserId NUMBER, ContentLicense CLOB)
CREATE TABLE ReviewTaskResultTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE CloseAsOffTopicReasonTypes (Id NUMBER, IsUniversal BOOLEAN, InputTitle CLOB, MarkdownInputGuidance CLOB, MarkdownPostOwnerGuidance CLOB, MarkdownPrivilegedUserGuidance CLOB, MarkdownConcensusDescription CLOB, CreationDate TIME, CreationModeratorId NUMBER, ApprovalDate TIME, ApprovalModeratorId NUMBER, DeactivationDate TIME, DeactivationModeratorId NUMBER)
CREATE TABLE PostTypes (Id NUMBER, Name CLOB)
CREATE TABLE SuggestedEditVotes (Id NUMBER, SuggestedEditId NUMBER, UserId NUMBER, VoteTypeId NUMBER, CreationDate TIME, TargetUserId NUMBER, TargetRepChange NUMBER)
CREATE TABLE Users (Id NUMBER, Reputation NUMBER, CreationDate TIME, DisplayName CLOB, LastAccessDate TIME, WebsiteUrl CLOB, Location CLOB, AboutMe CLOB, Views NUMBER, UpVotes NUMBER, DownVotes NUMBER, ProfileImageUrl CLOB, EmailHash CLOB, AccountId NUMBER)
CREATE TABLE PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
CREATE TABLE ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
CREATE TABLE Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
CREATE TABLE VoteTypes (Id NUMBER, Name CLOB)
CREATE TABLE FlagTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PendingFlags (Id NUMBER, FlagTypeId NUMBER, PostId NUMBER, CreationDate TIME, CloseReasonTypeId NUMBER, CloseAsOffTopicReasonTypeId NUMBER, DuplicateOfQuestionId NUMBER, BelongsOnBaseHostAddress CLOB)
CREATE TABLE Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
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)
| Average Post Score for IPS. | SELECT p.OwnerUserId AS "user_link", COUNT(p.Id) AS "number_of_posts", AVG(p.Score) AS "average_score_per_post" FROM Posts AS p GROUP BY p.OwnerUserId HAVING COUNT(p.Id) > 3 ORDER BY AVG(p.Score) DESC | SELECT "p"."OwnerUserId" AS "user_link", COUNT("p"."Id") AS "number_of_posts", AVG("p"."Score") AS "average_score_per_post" FROM "Posts" "p" GROUP BY "p"."OwnerUserId" HAVING COUNT("p"."Id") > 3 ORDER BY AVG("p"."Score") DESC | 0.219727 |
CREATE TABLE qualifying (qualifyId NUMBER, raceId NUMBER, driverId NUMBER, constructorId NUMBER, number NUMBER, position NUMBER, q1 CLOB, q2 CLOB, q3 CLOB)
CREATE TABLE seasons (year NUMBER, url CLOB)
CREATE TABLE lapTimes (raceId NUMBER, driverId NUMBER, lap NUMBER, position NUMBER, time CLOB, milliseconds NUMBER)
CREATE TABLE constructorStandings (constructorStandingsId NUMBER, raceId NUMBER, constructorId NUMBER, points FLOAT, position NUMBER, positionText CLOB, wins NUMBER)
CREATE TABLE constructors (constructorId NUMBER, constructorRef CLOB, name CLOB, nationality CLOB, url CLOB)
CREATE TABLE results (resultId NUMBER, raceId NUMBER, driverId NUMBER, constructorId NUMBER, number NUMBER, grid NUMBER, position CLOB, positionText CLOB, positionOrder NUMBER, points FLOAT, laps CLOB, time CLOB, milliseconds CLOB, fastestLap CLOB, rank CLOB, fastestLapTime CLOB, fastestLapSpeed CLOB, statusId NUMBER)
CREATE TABLE status (statusId NUMBER, status CLOB)
CREATE TABLE races (raceId NUMBER, year NUMBER, round NUMBER, circuitId NUMBER, name CLOB, date CLOB, time CLOB, url CLOB)
CREATE TABLE constructorResults (constructorResultsId NUMBER, raceId NUMBER, constructorId NUMBER, points FLOAT, status CLOB)
CREATE TABLE driverStandings (driverStandingsId NUMBER, raceId NUMBER, driverId NUMBER, points FLOAT, position NUMBER, positionText CLOB, wins NUMBER)
CREATE TABLE drivers (driverId NUMBER, driverRef CLOB, number CLOB, code CLOB, forename CLOB, surname CLOB, dob CLOB, nationality CLOB, url CLOB)
CREATE TABLE pitStops (raceId NUMBER, driverId NUMBER, stop NUMBER, lap NUMBER, time CLOB, duration CLOB, milliseconds NUMBER)
CREATE TABLE circuits (circuitId NUMBER, circuitRef CLOB, name CLOB, location CLOB, country CLOB, lat FLOAT, lng FLOAT, alt CLOB, url CLOB)
| What are the names of all races held between 2009 and 2011, and count them by a bar chart, and list from low to high by the names. | SELECT name, COUNT(name) FROM races WHERE year BETWEEN 2009 AND 2011 GROUP BY name ORDER BY name | SELECT "name", COUNT("name") FROM "races" WHERE "year" <= 2011 AND "year" >= 2009 GROUP BY "name" ORDER BY "name" | 0.110352 |
CREATE TABLE university (School_ID NUMBER, School CLOB, Location CLOB, Founded FLOAT, Affiliation CLOB, Enrollment FLOAT, Nickname CLOB, Primary_conference CLOB)
CREATE TABLE basketball_match (Team_ID NUMBER, School_ID NUMBER, Team_Name CLOB, ACC_Regular_Season CLOB, ACC_Percent CLOB, ACC_Home CLOB, ACC_Road CLOB, All_Games CLOB, All_Games_Percent NUMBER, All_Home CLOB, All_Road CLOB, All_Neutral CLOB)
| Show me about the distribution of ACC_Road and the average of School_ID , and group by attribute ACC_Road in a bar chart, I want to display Y in desc order. | SELECT ACC_Road, AVG(School_ID) FROM basketball_match GROUP BY ACC_Road ORDER BY AVG(School_ID) DESC | SELECT "ACC_Road", AVG("School_ID") FROM "basketball_match" GROUP BY "ACC_Road" ORDER BY AVG("School_ID") DESC | 0.107422 |
CREATE TABLE table_48617 ("Date" CLOB, "Pos." CLOB, "Player" CLOB, "From club" CLOB, "Transfer fee" CLOB)
| What is Pos., when Player is 'Nigel De Jong'? | SELECT "Pos." FROM table_48617 WHERE "Player" = 'nigel de jong' | SELECT "Pos." FROM "table_48617" WHERE "Player" = 'nigel de jong' | 0.063477 |
CREATE TABLE table_train_72 ("id" NUMBER, "extracorporeal_membrane_oxygenation_ecmo_cannulation" BOOLEAN, "heart_disease" BOOLEAN, "meningitis_or_encephalitis" BOOLEAN, "sepsis" BOOLEAN, "cancer" BOOLEAN, "prisoners" BOOLEAN, "NOUSE" FLOAT)
| history of cardiac arrest. | SELECT * FROM table_train_72 WHERE prisoners = 1 | SELECT * FROM "table_train_72" WHERE "prisoners" = 1 | 0.050781 |
CREATE TABLE table_203_34 (id NUMBER, "season" CLOB, "appearance" NUMBER, "interchange" NUMBER, "tries" NUMBER, "goals" NUMBER, "f/g" NUMBER, "points" NUMBER)
| how many seasons did the teams score above 40 points ? | SELECT COUNT("season") FROM table_203_34 WHERE "points" > 40 | SELECT COUNT("season") FROM "table_203_34" WHERE "points" > 40 | 0.060547 |
CREATE TABLE table_name_97 (money___ VARCHAR2, score VARCHAR2)
| How much is the money ($) when the score is 67-71-72-72=282? | SELECT COUNT(money___) AS $__ FROM table_name_97 WHERE score = 67 - 71 - 72 - 72 = 282 | SELECT COUNT("money___") AS "$__" FROM "table_name_97" WHERE "score" = FALSE | 0.074219 |
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)
| what is the number of patients whose admission type is elective and year of birth is less than 2052? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.admission_type = "ELECTIVE" AND demographic.dob_year < "2052" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "2052" > "demographic"."dob_year" AND "ELECTIVE" = "demographic"."admission_type" | 0.152344 |
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 lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime TIME)
CREATE TABLE medication (medicationid NUMBER, patientunitstayid NUMBER, drugname CLOB, dosage CLOB, routeadmin CLOB, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE cost (costid NUMBER, uniquepid CLOB, patienthealthsystemstayid NUMBER, eventtype CLOB, eventid NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE patient (uniquepid CLOB, patienthealthsystemstayid NUMBER, patientunitstayid NUMBER, gender CLOB, age CLOB, ethnicity CLOB, hospitalid NUMBER, wardid NUMBER, admissionheight NUMBER, admissionweight NUMBER, dischargeweight NUMBER, hospitaladmittime TIME, hospitaladmitsource CLOB, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus CLOB)
CREATE TABLE allergy (allergyid NUMBER, patientunitstayid NUMBER, drugname CLOB, allergyname CLOB, allergytime TIME)
CREATE TABLE diagnosis (diagnosisid NUMBER, patientunitstayid NUMBER, diagnosisname CLOB, diagnosistime TIME, icd9code CLOB)
CREATE TABLE vitalperiodic (vitalperiodicid NUMBER, patientunitstayid NUMBER, temperature NUMBER, sao2 NUMBER, heartrate NUMBER, respiration NUMBER, systemicsystolic NUMBER, systemicdiastolic NUMBER, systemicmean NUMBER, observationtime TIME)
CREATE TABLE intakeoutput (intakeoutputid NUMBER, patientunitstayid NUMBER, cellpath CLOB, celllabel CLOB, cellvaluenumeric NUMBER, intakeoutputtime TIME)
| tell me the difference between the total number of output and the input of patient 022-198713 since 397 days ago? | SELECT (SELECT SUM(intakeoutput.cellvaluenumeric) FROM intakeoutput WHERE intakeoutput.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '022-198713')) AND intakeoutput.cellpath LIKE '%intake%' AND DATETIME(intakeoutput.intakeoutputtime) >= DATETIME(CURRENT_TIME(), '-397 day')) - (SELECT SUM(intakeoutput.cellvaluenumeric) FROM intakeoutput WHERE intakeoutput.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '022-198713')) AND intakeoutput.cellpath LIKE '%output%' AND DATETIME(intakeoutput.intakeoutputtime) >= DATETIME(CURRENT_TIME(), '-397 day')) | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '022-198713' GROUP BY "patienthealthsystemstayid"), "_u_1" AS (SELECT "patient"."patientunitstayid" FROM "patient" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "patient"."patienthealthsystemstayid" WHERE NOT "_u_0"."" IS NULL GROUP BY "patientunitstayid"), "_u_4" AS (SELECT "patient"."patientunitstayid" FROM "patient" LEFT JOIN "_u_0" "_u_3" ON "_u_3"."" = "patient"."patienthealthsystemstayid" WHERE NOT "_u_3"."" IS NULL GROUP BY "patientunitstayid") SELECT (SELECT SUM("intakeoutput"."cellvaluenumeric") FROM "intakeoutput" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "intakeoutput"."patientunitstayid" WHERE "intakeoutput"."cellpath" LIKE '%intake%' AND DATETIME("intakeoutput"."intakeoutputtime") >= DATETIME(CURRENT_TIME(), '-397 day') AND NOT "_u_1"."" IS NULL) - (SELECT SUM("intakeoutput"."cellvaluenumeric") FROM "intakeoutput" LEFT JOIN "_u_4" "_u_4" ON "_u_4"."" = "intakeoutput"."patientunitstayid" WHERE "intakeoutput"."cellpath" LIKE '%output%' AND DATETIME("intakeoutput"."intakeoutputtime") >= DATETIME(CURRENT_TIME(), '-397 day') AND NOT "_u_4"."" IS NULL) | 1.143555 |
CREATE TABLE table_45733 ("Name" CLOB, "Club" CLOB, "Age at debut" CLOB, "Debut round" FLOAT, "Games ( 2008 ) " FLOAT, "Goals ( 2008 ) " FLOAT)
| What is the total number of goals that have games under 11, debut round over 15, and age of 20 years, 71 days? | SELECT COUNT("Goals (2008)") FROM table_45733 WHERE "Games (2008)" < '11' AND "Debut round" > '15' AND "Age at debut" = '20 years, 71 days' | SELECT COUNT("Goals (2008)") FROM "table_45733" WHERE "Age at debut" = '20 years, 71 days' AND "Debut round" > '15' AND "Games (2008)" < '11' | 0.137695 |
CREATE TABLE table_69113 ("City" CLOB, "Jan." CLOB, "Feb." CLOB, "Mar." CLOB, "Apr." CLOB, "Jun." CLOB, "Jul." CLOB, "Aug." CLOB, "Sep." CLOB, "Oct." CLOB, "Nov." CLOB, "Dec." CLOB)
| Name the city with Feb of 66 f / 18.9 c | SELECT "City" FROM table_69113 WHERE "Feb." = '66 °f / 18.9 °c' | SELECT "City" FROM "table_69113" WHERE "Feb." = '66 °f / 18.9 °c' | 0.063477 |
CREATE TABLE table_name_48 (date VARCHAR2, away_team VARCHAR2)
| what is the date when the away team is melbourne? | SELECT date FROM table_name_48 WHERE away_team = "melbourne" | SELECT "date" FROM "table_name_48" WHERE "away_team" = "melbourne" | 0.064453 |
CREATE TABLE table_name_39 (distance VARCHAR2, venue VARCHAR2)
| What is Distance, when Venue is 'Belgrade'? | SELECT distance FROM table_name_39 WHERE venue = "belgrade" | SELECT "distance" FROM "table_name_39" WHERE "belgrade" = "venue" | 0.063477 |
CREATE TABLE table_name_95 (location VARCHAR2, name_in_malay VARCHAR2)
| What is the location of the institution whose name in Malay is kolej kemahiran belia nasional, pontian? | SELECT location FROM table_name_95 WHERE name_in_malay = "kolej kemahiran belia nasional, pontian" | SELECT "location" FROM "table_name_95" WHERE "kolej kemahiran belia nasional, pontian" = "name_in_malay" | 0.101563 |
CREATE TABLE table_name_30 (away_team VARCHAR2, venue VARCHAR2)
| What did the team score while away in moorabbin oval? | SELECT away_team AS score FROM table_name_30 WHERE venue = "moorabbin oval" | SELECT "away_team" AS "score" FROM "table_name_30" WHERE "moorabbin oval" = "venue" | 0.081055 |
CREATE TABLE table_60178 ("Week" CLOB, "Theme" CLOB, "Song Sung" CLOB, "Artist" CLOB, "Status" CLOB)
| Which Artist is listed as having Top 6 in Week | SELECT "Artist" FROM table_60178 WHERE "Week" = 'top 6' | SELECT "Artist" FROM "table_60178" WHERE "Week" = 'top 6' | 0.055664 |
CREATE TABLE table_name_45 (first_pref_votes VARCHAR2, seats VARCHAR2)
| How many First Pref votes have Seats of 1? | SELECT COUNT(first_pref_votes) FROM table_name_45 WHERE seats = "1" | SELECT COUNT("first_pref_votes") FROM "table_name_45" WHERE "1" = "seats" | 0.071289 |
CREATE TABLE table_17271495_1 (driver VARCHAR2, points VARCHAR2)
| Name the drive for points being 13 | SELECT driver FROM table_17271495_1 WHERE points = "13" | SELECT "driver" FROM "table_17271495_1" WHERE "13" = "points" | 0.05957 |
CREATE TABLE table_64494 ("Japanese Title" CLOB, "Romaji Title" CLOB, "TV Station" CLOB, "Episodes" FLOAT, "Average Ratings" CLOB)
| For what Japanese title is there less than 11 episodes and the Romaji title is Regatta~Kimi to Ita Eien~? | SELECT "Japanese Title" FROM table_64494 WHERE "Episodes" < '11' AND "Romaji Title" = 'regatta~kimi to ita eien~' | SELECT "Japanese Title" FROM "table_64494" WHERE "Episodes" < '11' AND "Romaji Title" = 'regatta~kimi to ita eien~' | 0.112305 |
CREATE TABLE table_77820 ("Home team" CLOB, "Home team score" CLOB, "Away team" CLOB, "Away team score" CLOB, "Venue" CLOB, "Crowd" FLOAT, "Date" CLOB)
| Which Away team has a Crowd larger than 14,000, and a Home team of melbourne? | SELECT "Away team" FROM table_77820 WHERE "Crowd" > '14,000' AND "Home team" = 'melbourne' | SELECT "Away team" FROM "table_77820" WHERE "Crowd" > '14,000' AND "Home team" = 'melbourne' | 0.089844 |
CREATE TABLE table_23186738_9 (game NUMBER, date VARCHAR2)
| Name the least game for march 20 | SELECT MIN(game) FROM table_23186738_9 WHERE date = "March 20" | SELECT MIN("game") FROM "table_23186738_9" WHERE "March 20" = "date" | 0.066406 |
CREATE TABLE table_name_8 (attendance VARCHAR2, tie_no VARCHAR2)
| When there was a tie of 16 what was the attendance? | SELECT attendance FROM table_name_8 WHERE tie_no = "16" | SELECT "attendance" FROM "table_name_8" WHERE "16" = "tie_no" | 0.05957 |
CREATE TABLE table_34650 ("Draw" FLOAT, "Singer" CLOB, "Song" CLOB, "Points" FLOAT, "Place" FLOAT)
| What is the total for the place when the singer is Mariza Ikonomi when points are larger than 20? | SELECT COUNT("Place") FROM table_34650 WHERE "Singer" = 'mariza ikonomi' AND "Points" > '20' | SELECT COUNT("Place") FROM "table_34650" WHERE "Points" > '20' AND "Singer" = 'mariza ikonomi' | 0.091797 |
CREATE TABLE table_2820584_3 (partner VARCHAR2, year VARCHAR2)
| How many different partners played in the finale in 1973? | SELECT COUNT(partner) FROM table_2820584_3 WHERE year = 1973 | SELECT COUNT("partner") FROM "table_2820584_3" WHERE "year" = 1973 | 0.064453 |
CREATE TABLE table_2509350_3 (language VARCHAR2, sopachuy_municipality VARCHAR2)
| Name the language for sopachuy 10 | SELECT language FROM table_2509350_3 WHERE sopachuy_municipality = 10 | SELECT "language" FROM "table_2509350_3" WHERE "sopachuy_municipality" = 10 | 0.073242 |
CREATE TABLE table_204_635 (id NUMBER, "round" NUMBER, "selection" NUMBER, "player" CLOB, "position" CLOB, "college" CLOB)
| who was the last draftee to be picked by the team ? | SELECT "player" FROM table_204_635 ORDER BY id DESC LIMIT 1 | SELECT "player" FROM "table_204_635" ORDER BY "id" DESC FETCH FIRST 1 ROWS ONLY | 0.077148 |
CREATE TABLE table_1847523_2 (station VARCHAR2, city_of_license__market VARCHAR2)
| What are all the stations with a license in Cincinnati? | SELECT station FROM table_1847523_2 WHERE city_of_license__market = "Cincinnati" | SELECT "station" FROM "table_1847523_2" WHERE "Cincinnati" = "city_of_license__market" | 0.083984 |
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 transfers (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, eventtype CLOB, careunit CLOB, wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
CREATE TABLE admissions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, admittime TIME, dischtime TIME, admission_type CLOB, admission_location CLOB, discharge_location CLOB, insurance CLOB, language CLOB, marital_status CLOB, ethnicity CLOB, age NUMBER)
CREATE TABLE icustays (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, first_careunit CLOB, last_careunit CLOB, first_wardid NUMBER, last_wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
CREATE TABLE microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
CREATE TABLE patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
CREATE TABLE d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE 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 d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
| what are the five most commonly used procedures for patients who were previously diagnosed with chr blood loss anemia within the same hospital visit during the last year? | SELECT d_icd_procedures.short_title FROM d_icd_procedures WHERE d_icd_procedures.icd9_code IN (SELECT t3.icd9_code FROM (SELECT t2.icd9_code, DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS c1 FROM (SELECT admissions.subject_id, diagnoses_icd.charttime, admissions.hadm_id 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 = 'chr blood loss anemia') AND DATETIME(diagnoses_icd.charttime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year')) AS t1 JOIN (SELECT admissions.subject_id, procedures_icd.icd9_code, procedures_icd.charttime, admissions.hadm_id FROM procedures_icd JOIN admissions ON procedures_icd.hadm_id = admissions.hadm_id WHERE DATETIME(procedures_icd.charttime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year')) AS t2 ON t1.subject_id = t2.subject_id WHERE t1.charttime < t2.charttime AND t1.hadm_id = t2.hadm_id GROUP BY t2.icd9_code) AS t3 WHERE t3.c1 <= 5) | WITH "t2" AS (SELECT "admissions"."subject_id", "procedures_icd"."icd9_code", "procedures_icd"."charttime", "admissions"."hadm_id" FROM "procedures_icd" JOIN "admissions" ON "admissions"."hadm_id" = "procedures_icd"."hadm_id" WHERE DATETIME("procedures_icd"."charttime", 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year')), "t3" AS (SELECT "t2"."icd9_code", DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS "c1" FROM "diagnoses_icd" JOIN "d_icd_diagnoses" ON "d_icd_diagnoses"."icd9_code" = "diagnoses_icd"."icd9_code" AND "d_icd_diagnoses"."short_title" = 'chr blood loss anemia' JOIN "admissions" ON "admissions"."hadm_id" = "diagnoses_icd"."hadm_id" JOIN "t2" "t2" ON "admissions"."hadm_id" = "t2"."hadm_id" AND "admissions"."subject_id" = "t2"."subject_id" AND "diagnoses_icd"."charttime" < "t2"."charttime" WHERE DATETIME("diagnoses_icd"."charttime", 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year') GROUP BY "t2"."icd9_code"), "_u_1" AS (SELECT "t3"."icd9_code" FROM "t3" "t3" WHERE "t3"."c1" <= 5 GROUP BY "icd9_code") SELECT "d_icd_procedures"."short_title" FROM "d_icd_procedures" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "d_icd_procedures"."icd9_code" WHERE NOT "_u_1"."" IS NULL | 1.199219 |
CREATE TABLE table_29692 ("Team" CLOB, "Chairman" CLOB, "Head Coach" CLOB, "Captain" CLOB, "Kitmaker" CLOB, "Shirt sponsor" CLOB)
| How many teams have a head coach named mahdi ali? | SELECT COUNT("Team") FROM table_29692 WHERE "Head Coach" = 'Mahdi Ali' | SELECT COUNT("Team") FROM "table_29692" WHERE "Head Coach" = 'Mahdi Ali' | 0.070313 |
CREATE TABLE table_name_46 (team_1 VARCHAR2, team_2 VARCHAR2)
| What Team 1 has union douala as Team 2? | SELECT team_1 FROM table_name_46 WHERE team_2 = "union douala" | SELECT "team_1" FROM "table_name_46" WHERE "team_2" = "union douala" | 0.066406 |
CREATE TABLE teaches (ID VARCHAR2, course_id VARCHAR2, sec_id VARCHAR2, semester VARCHAR2, year NUMBER)
CREATE TABLE department (dept_name VARCHAR2, building VARCHAR2, budget NUMBER)
CREATE TABLE student (ID VARCHAR2, name VARCHAR2, dept_name VARCHAR2, tot_cred NUMBER)
CREATE TABLE section (course_id VARCHAR2, sec_id VARCHAR2, semester VARCHAR2, year NUMBER, building VARCHAR2, room_number VARCHAR2, time_slot_id VARCHAR2)
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 course (course_id VARCHAR2, title VARCHAR2, dept_name VARCHAR2, credits NUMBER)
CREATE TABLE classroom (building VARCHAR2, room_number VARCHAR2, capacity NUMBER)
CREATE TABLE prereq (course_id VARCHAR2, prereq_id VARCHAR2)
CREATE TABLE takes (ID VARCHAR2, course_id VARCHAR2, sec_id VARCHAR2, semester VARCHAR2, year NUMBER, grade VARCHAR2)
CREATE TABLE instructor (ID VARCHAR2, name VARCHAR2, dept_name VARCHAR2, salary NUMBER)
| Find the number of courses that have more than one prerequisites for each title with a bar chart. | SELECT title, COUNT(title) FROM course AS T1 JOIN prereq AS T2 ON T1.course_id = T2.course_id GROUP BY title | SELECT "title", COUNT("title") FROM "course" "T1" JOIN "prereq" "T2" ON "T1"."course_id" = "T2"."course_id" GROUP BY "title" | 0.121094 |
CREATE TABLE table_76397 ("Tournament" CLOB, "Wins" FLOAT, "Top-5" FLOAT, "Top-10" FLOAT, "Top-25" FLOAT, "Events" FLOAT, "Cuts made" FLOAT)
| what is the average top-5 when the cuts made is more than 34? | SELECT AVG("Top-5") FROM table_76397 WHERE "Cuts made" > '34' | SELECT AVG("Top-5") FROM "table_76397" WHERE "Cuts made" > '34' | 0.061523 |
CREATE TABLE table_21623 ("Series #" FLOAT, "Season #" FLOAT, "Title" CLOB, "Directed by" CLOB, "Written by" CLOB, "Original air date" CLOB)
| What was the number of seasons that was directed by Joanna Kerns? | SELECT COUNT("Season #") FROM table_21623 WHERE "Directed by" = 'Joanna Kerns' | SELECT COUNT("Season #") FROM "table_21623" WHERE "Directed by" = 'Joanna Kerns' | 0.078125 |
CREATE TABLE intakeoutput (intakeoutputid NUMBER, patientunitstayid NUMBER, cellpath CLOB, celllabel CLOB, cellvaluenumeric NUMBER, intakeoutputtime TIME)
CREATE TABLE vitalperiodic (vitalperiodicid NUMBER, patientunitstayid NUMBER, temperature NUMBER, sao2 NUMBER, heartrate NUMBER, respiration NUMBER, systemicsystolic NUMBER, systemicdiastolic NUMBER, systemicmean NUMBER, observationtime TIME)
CREATE TABLE treatment (treatmentid NUMBER, patientunitstayid NUMBER, treatmentname CLOB, treatmenttime TIME)
CREATE TABLE allergy (allergyid NUMBER, patientunitstayid NUMBER, drugname CLOB, allergyname CLOB, allergytime TIME)
CREATE TABLE diagnosis (diagnosisid NUMBER, patientunitstayid NUMBER, diagnosisname CLOB, diagnosistime TIME, icd9code CLOB)
CREATE TABLE cost (costid NUMBER, uniquepid CLOB, patienthealthsystemstayid NUMBER, eventtype CLOB, eventid NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE microlab (microlabid NUMBER, patientunitstayid NUMBER, culturesite CLOB, organism CLOB, culturetakentime TIME)
CREATE TABLE patient (uniquepid CLOB, patienthealthsystemstayid NUMBER, patientunitstayid NUMBER, gender CLOB, age CLOB, ethnicity CLOB, hospitalid NUMBER, wardid NUMBER, admissionheight NUMBER, admissionweight NUMBER, dischargeweight NUMBER, hospitaladmittime TIME, hospitaladmitsource CLOB, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus CLOB)
CREATE TABLE 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)
| what is the minimum total cost of a hospital visit that includes anticonvulsant - gabapentin the last year? | SELECT MIN(t1.c1) FROM (SELECT SUM(cost.cost) AS c1 FROM cost WHERE cost.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.patientunitstayid IN (SELECT treatment.patientunitstayid FROM treatment WHERE treatment.treatmentname = 'anticonvulsant - gabapentin')) AND DATETIME(cost.chargetime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year') GROUP BY cost.patienthealthsystemstayid) AS t1 | WITH "_u_0" AS (SELECT "treatment"."patientunitstayid" FROM "treatment" WHERE "treatment"."treatmentname" = 'anticonvulsant - gabapentin' GROUP BY "patientunitstayid"), "_u_1" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "patient"."patientunitstayid" WHERE NOT "_u_0"."" IS NULL GROUP BY "patienthealthsystemstayid"), "t1" AS (SELECT SUM("cost"."cost") AS "c1" FROM "cost" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "cost"."patienthealthsystemstayid" WHERE DATETIME("cost"."chargetime", 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year') AND NOT "_u_1"."" IS NULL GROUP BY "cost"."patienthealthsystemstayid") SELECT MIN("t1"."c1") FROM "t1" "t1" | 0.703125 |
CREATE TABLE table_name_62 (skip VARCHAR2, third VARCHAR2)
| WHAT IS THE SKIP WITH A THIRD OF DEANNA DOIG? | SELECT skip FROM table_name_62 WHERE third = "deanna doig" | SELECT "skip" FROM "table_name_62" WHERE "deanna doig" = "third" | 0.0625 |
CREATE TABLE table_65873 ("Rank" CLOB, "Nation" CLOB, "Gold" FLOAT, "Silver" FLOAT, "Bronze" FLOAT, "Total" FLOAT)
| What is the least amount of silver when there is less than 0 bronze? | SELECT MIN("Silver") FROM table_65873 WHERE "Bronze" < '0' | SELECT MIN("Silver") FROM "table_65873" WHERE "Bronze" < '0' | 0.058594 |
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 number of patients whose admission type is elective and diagnoses short title is ac posthemorrhag anemia? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.admission_type = "ELECTIVE" AND diagnoses.short_title = "Ac posthemorrhag anemia" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "Ac posthemorrhag anemia" = "diagnoses"."short_title" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" WHERE "ELECTIVE" = "demographic"."admission_type" | 0.238281 |
CREATE TABLE table_name_49 (bumping_blocking VARCHAR2, ankle_tap VARCHAR2, steal_intercept_ball VARCHAR2)
| Which bumping/blocking has a yes for both the ankle tap and steal/intercept ball? | SELECT bumping_blocking FROM table_name_49 WHERE ankle_tap = "yes" AND steal_intercept_ball = "yes" | SELECT "bumping_blocking" FROM "table_name_49" WHERE "ankle_tap" = "yes" AND "steal_intercept_ball" = "yes" | 0.104492 |
CREATE TABLE table_name_43 (governments VARCHAR2, term_start VARCHAR2)
| What governments did the minister with a term start on 24 September 1984 have? | SELECT governments FROM table_name_43 WHERE term_start = "24 september 1984" | SELECT "governments" FROM "table_name_43" WHERE "24 september 1984" = "term_start" | 0.080078 |
CREATE TABLE table_63171 ("Japanese Title" CLOB, "Romaji Title" CLOB, "TV Station" CLOB, "Episodes" FLOAT, "Average Ratings" CLOB)
| Which Romaji Title has 11 Episodes, and a TV Station of fuji tv, and Average Ratings of 14.9%? | SELECT "Romaji Title" FROM table_63171 WHERE "Episodes" = '11' AND "TV Station" = 'fuji tv' AND "Average Ratings" = '14.9%' | SELECT "Romaji Title" FROM "table_63171" WHERE "Average Ratings" = '14.9%' AND "Episodes" = '11' AND "TV Station" = 'fuji tv' | 0.12207 |
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
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)
| how many patients have stayed in the hospital for more than 9 days with the diagnosis icd9 code 311? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.days_stay > "9" AND diagnoses.icd9_code = "311" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "311" = "diagnoses"."icd9_code" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" WHERE "9" < "demographic"."days_stay" | 0.205078 |
CREATE TABLE table_6826 ("Name" CLOB, "Profession" CLOB, "City" CLOB, "Entered the house" CLOB, "Evicted" CLOB)
| When did sla ana peji , who was evicted on day 29, enter the house? | SELECT "Entered the house" FROM table_6826 WHERE "Evicted" = 'day 29' AND "Name" = 'slađana pejić' | SELECT "Entered the house" FROM "table_6826" WHERE "Evicted" = 'day 29' AND "Name" = 'slađana pejić' | 0.097656 |
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 lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
| what is discharge time and diagnoses icd9 code of subject id 42820? | SELECT demographic.dischtime, diagnoses.icd9_code FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.subject_id = "42820" | SELECT "demographic"."dischtime", "diagnoses"."icd9_code" FROM "demographic" JOIN "diagnoses" ON "demographic"."hadm_id" = "diagnoses"."hadm_id" WHERE "42820" = "demographic"."subject_id" | 0.182617 |
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 patient (uniquepid CLOB, patienthealthsystemstayid NUMBER, patientunitstayid NUMBER, gender CLOB, age CLOB, ethnicity CLOB, hospitalid NUMBER, wardid NUMBER, admissionheight NUMBER, admissionweight NUMBER, dischargeweight NUMBER, hospitaladmittime TIME, hospitaladmitsource CLOB, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus CLOB)
CREATE TABLE intakeoutput (intakeoutputid NUMBER, patientunitstayid NUMBER, cellpath CLOB, celllabel CLOB, cellvaluenumeric NUMBER, intakeoutputtime TIME)
CREATE TABLE lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime TIME)
CREATE TABLE diagnosis (diagnosisid NUMBER, patientunitstayid NUMBER, diagnosisname CLOB, diagnosistime TIME, icd9code CLOB)
CREATE TABLE microlab (microlabid NUMBER, patientunitstayid NUMBER, culturesite CLOB, organism CLOB, culturetakentime TIME)
CREATE TABLE treatment (treatmentid NUMBER, patientunitstayid NUMBER, treatmentname CLOB, treatmenttime TIME)
CREATE TABLE allergy (allergyid NUMBER, patientunitstayid NUMBER, drugname CLOB, allergyname CLOB, allergytime TIME)
CREATE TABLE cost (costid NUMBER, uniquepid CLOB, patienthealthsystemstayid NUMBER, eventtype CLOB, eventid NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE medication (medicationid NUMBER, patientunitstayid NUMBER, drugname CLOB, dosage CLOB, routeadmin CLOB, drugstarttime TIME, drugstoptime TIME)
| what percentile is 30.7 mch in a patient of the same age as patient 009-2181 in their first hospital encounter? | SELECT DISTINCT t1.c1 FROM (SELECT lab.labresult, PERCENT_RANK() OVER (ORDER BY lab.labresult) AS c1 FROM lab WHERE lab.labname = 'mch' AND lab.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.age = (SELECT patient.age FROM patient WHERE patient.uniquepid = '009-2181' AND NOT patient.hospitaldischargetime IS NULL ORDER BY patient.hospitaladmittime LIMIT 1))) AS t1 WHERE t1.labresult = 30.7 | WITH "_u_0" AS (SELECT "patient"."age" FROM "patient" WHERE "patient"."uniquepid" = '009-2181' AND NOT "patient"."hospitaldischargetime" IS NULL ORDER BY "patient"."hospitaladmittime" FETCH FIRST 1 ROWS ONLY), "_u_1" AS (SELECT "patient"."patientunitstayid" FROM "patient" JOIN "_u_0" "_u_0" ON "_u_0"."age" = "patient"."age" GROUP BY "patientunitstayid") SELECT DISTINCT PERCENT_RANK() OVER (ORDER BY "lab"."labresult") FROM "lab" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "lab"."patientunitstayid" WHERE "lab"."labname" = 'mch' AND "lab"."labresult" = 30.7 AND NOT "_u_1"."" IS NULL | 0.567383 |
CREATE TABLE ReviewTaskStates (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
CREATE TABLE CloseReasonTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment CLOB)
CREATE TABLE PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId NUMBER)
CREATE TABLE PostTags (PostId NUMBER, TagId 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 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 Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
CREATE TABLE ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId NUMBER)
CREATE TABLE 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 PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
CREATE TABLE Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount NUMBER)
CREATE TABLE Comments (Id NUMBER, PostId NUMBER, Score NUMBER, Text CLOB, CreationDate TIME, UserDisplayName CLOB, UserId NUMBER, 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 PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
CREATE TABLE ReviewTaskResultTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostTypes (Id NUMBER, Name 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 PostHistoryTypes (Id NUMBER, Name CLOB)
CREATE TABLE VoteTypes (Id NUMBER, Name CLOB)
CREATE TABLE FlagTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE TagSynonyms (Id NUMBER, SourceTagName CLOB, TargetTagName CLOB, CreationDate TIME, OwnerUserId NUMBER, AutoRenameCount NUMBER, LastAutoRename TIME, Score NUMBER, ApprovedByUserId NUMBER, ApprovalDate TIME)
CREATE TABLE 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 PendingFlags (Id NUMBER, FlagTypeId NUMBER, PostId NUMBER, CreationDate TIME, CloseReasonTypeId NUMBER, CloseAsOffTopicReasonTypeId NUMBER, DuplicateOfQuestionId NUMBER, BelongsOnBaseHostAddress CLOB)
CREATE TABLE Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
| select * from Users where Users.Reputation > 10. | SELECT * FROM Users WHERE Users.Reputation > 10 | SELECT * FROM "Users" WHERE "Users"."Reputation" > 10 | 0.051758 |
CREATE TABLE table_14724369_1 (directed_by VARCHAR2, written_by VARCHAR2)
| How many people directed the show written by Chris Sheridan? | SELECT COUNT(directed_by) FROM table_14724369_1 WHERE written_by = "Chris Sheridan" | SELECT COUNT("directed_by") FROM "table_14724369_1" WHERE "Chris Sheridan" = "written_by" | 0.086914 |
CREATE TABLE table_name_75 (finish VARCHAR2, year VARCHAR2)
| What is the finish in 1953? | SELECT finish FROM table_name_75 WHERE year = "1953" | SELECT "finish" FROM "table_name_75" WHERE "1953" = "year" | 0.056641 |
CREATE TABLE Rooms (Id VARCHAR2)
| How many rooms are there? | SELECT COUNT(*) FROM Rooms | SELECT COUNT(*) FROM "Rooms" | 0.027344 |
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)
| calculate the minimum age of patients admitted in hospital in or after 2103 who stayed in hospital for 8 days. | SELECT MIN(demographic.age) FROM demographic WHERE demographic.days_stay = "8" AND demographic.admityear >= "2103" | SELECT MIN("demographic"."age") FROM "demographic" WHERE "2103" <= "demographic"."admityear" AND "8" = "demographic"."days_stay" | 0.125 |
CREATE TABLE table_name_32 (lane NUMBER, time VARCHAR2, rank VARCHAR2)
| How many lanes have a Time of 53.61, and a Rank larger than 3? | SELECT SUM(lane) FROM table_name_32 WHERE time = 53.61 AND rank > 3 | SELECT SUM("lane") FROM "table_name_32" WHERE "rank" > 3 AND "time" = 53.61 | 0.073242 |
CREATE TABLE table_name_99 (team_1 VARCHAR2, team_2 VARCHAR2)
| What is team 1 if Renova is team 2? | SELECT team_1 FROM table_name_99 WHERE team_2 = "renova" | SELECT "team_1" FROM "table_name_99" WHERE "renova" = "team_2" | 0.060547 |
CREATE TABLE station (name VARCHAR2, lat VARCHAR2, city VARCHAR2)
| What are the name, latitude, and city of the station with the lowest latitude? | SELECT name, lat, city FROM station ORDER BY lat LIMIT 1 | SELECT "name", "lat", "city" FROM "station" ORDER BY "lat" FETCH FIRST 1 ROWS ONLY | 0.080078 |
CREATE TABLE table_23793770_1 (title VARCHAR2, directed_by VARCHAR2)
| What is the title the episode directed by Allison Liddi-Brown? | SELECT title FROM table_23793770_1 WHERE directed_by = "Allison Liddi-Brown" | SELECT "title" FROM "table_23793770_1" WHERE "Allison Liddi-Brown" = "directed_by" | 0.080078 |
CREATE TABLE microlab (microlabid NUMBER, patientunitstayid NUMBER, culturesite CLOB, organism CLOB, culturetakentime TIME)
CREATE TABLE intakeoutput (intakeoutputid NUMBER, patientunitstayid NUMBER, cellpath CLOB, celllabel CLOB, cellvaluenumeric NUMBER, intakeoutputtime TIME)
CREATE TABLE lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime TIME)
CREATE TABLE allergy (allergyid NUMBER, patientunitstayid NUMBER, drugname CLOB, allergyname CLOB, allergytime TIME)
CREATE TABLE cost (costid NUMBER, uniquepid CLOB, patienthealthsystemstayid NUMBER, eventtype CLOB, eventid NUMBER, chargetime TIME, cost NUMBER)
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 diagnosis (diagnosisid NUMBER, patientunitstayid NUMBER, diagnosisname CLOB, diagnosistime TIME, icd9code CLOB)
CREATE TABLE treatment (treatmentid NUMBER, patientunitstayid NUMBER, treatmentname CLOB, treatmenttime TIME)
CREATE TABLE vitalperiodic (vitalperiodicid NUMBER, patientunitstayid NUMBER, temperature NUMBER, sao2 NUMBER, heartrate NUMBER, respiration NUMBER, systemicsystolic NUMBER, systemicdiastolic NUMBER, systemicmean NUMBER, observationtime TIME)
| tell me the time when patient 027-136480 measured respiration for the last time since 238 days ago? | 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 = '027-136480')) AND NOT vitalperiodic.respiration IS NULL AND DATETIME(vitalperiodic.observationtime) >= DATETIME(CURRENT_TIME(), '-238 day') ORDER BY vitalperiodic.observationtime DESC LIMIT 1 | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '027-136480' 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") >= DATETIME(CURRENT_TIME(), '-238 day') AND NOT "_u_1"."" IS NULL AND NOT "vitalperiodic"."respiration" IS NULL ORDER BY "vitalperiodic"."observationtime" DESC FETCH FIRST 1 ROWS ONLY | 0.708984 |
CREATE TABLE table_35743 ("Name" CLOB, "Location" CLOB, "State" CLOB, "Opened ( closing date if defunct ) " CLOB, "Surface" CLOB, "Length" CLOB)
| What is the Location for the route 66 raceway? | SELECT "Location" FROM table_35743 WHERE "Name" = 'route 66 raceway' | SELECT "Location" FROM "table_35743" WHERE "Name" = 'route 66 raceway' | 0.068359 |
CREATE TABLE table_13665809_2 (season NUMBER, byu_usu_score VARCHAR2)
| what is the maximum season with byu-usu score being 29 7 | SELECT MAX(season) FROM table_13665809_2 WHERE byu_usu_score = "29–7" | SELECT MAX("season") FROM "table_13665809_2" WHERE "29–7" = "byu_usu_score" | 0.073242 |
CREATE TABLE table_name_78 (outcome VARCHAR2, championship VARCHAR2, year VARCHAR2)
| What is Outcome, when Championship is Australian Open, and when Year is before 1994? | SELECT outcome FROM table_name_78 WHERE championship = "australian open" AND year < 1994 | SELECT "outcome" FROM "table_name_78" WHERE "australian open" = "championship" AND "year" < 1994 | 0.09375 |
CREATE TABLE debate_people (Debate_ID NUMBER, Affirmative NUMBER, Negative NUMBER, If_Affirmative_Win BOOLEAN)
CREATE TABLE people (People_ID NUMBER, District CLOB, Name CLOB, Party CLOB, Age NUMBER)
CREATE TABLE debate (Debate_ID NUMBER, Date CLOB, Venue CLOB, Num_of_Audience NUMBER)
| A bar chart showing how many debates are held for each venue, and list how many venue in descending order. | SELECT Venue, COUNT(Venue) FROM debate GROUP BY Venue ORDER BY COUNT(Venue) DESC | SELECT "Venue", COUNT("Venue") FROM "debate" GROUP BY "Venue" ORDER BY COUNT("Venue") DESC | 0.087891 |
CREATE TABLE table_77009 ("Date" CLOB, "City" CLOB, "Event" CLOB, "Winner" CLOB, "Prize" CLOB)
| Who is the winner in the city of lima? | SELECT "Winner" FROM table_77009 WHERE "City" = 'lima' | SELECT "Winner" FROM "table_77009" WHERE "City" = 'lima' | 0.054688 |
CREATE TABLE table_70094 ("Value" CLOB, "Khmer" FLOAT, "Word Form" CLOB, "UNGEGN" CLOB, "ALA-LC" CLOB, "Notes" CLOB)
| What is the Value, when the Notes are literally 'one hundred million'? | SELECT "Value" FROM table_70094 WHERE "Notes" = 'literally "one hundred million' | SELECT "Value" FROM "table_70094" WHERE "Notes" = 'literally "one hundred million' | 0.080078 |
CREATE TABLE table_22337 ("City of license /Market" CLOB, "Station" CLOB, "Channel ( TV / RF ) " CLOB, "Owned Since" FLOAT, "Affiliation" CLOB)
| What are all the stations with a license in Cincinnati? | SELECT "Station" FROM table_22337 WHERE "City of license /Market" = 'Cincinnati' | SELECT "Station" FROM "table_22337" WHERE "City of license /Market" = 'Cincinnati' | 0.080078 |
CREATE TABLE table_204_15 (id NUMBER, "year" NUMBER, "date" CLOB, "venue" CLOB, "city" CLOB, "country" CLOB, "notes" CLOB)
| in the chart is nara before firenze ? | SELECT (SELECT id FROM table_204_15 WHERE "city" = 'nara') < (SELECT id FROM table_204_15 WHERE "city" = 'firenze') | SELECT (SELECT "id" FROM "table_204_15" WHERE "city" = 'firenze') > (SELECT "id" FROM "table_204_15" WHERE "city" = 'nara') | 0.120117 |
CREATE TABLE table_78852 ("Main contestant" CLOB, "Co-contestant ( Yaar vs. Pyaar ) " CLOB, "Date performed" CLOB, "Scores by each individual judge" CLOB, "Total score/week" CLOB, "Position" CLOB, "Status" CLOB)
| What is Tina Sachdev's position? | SELECT "Position" FROM table_78852 WHERE "Co-contestant (Yaar vs. Pyaar)" = 'tina sachdev' | SELECT "Position" FROM "table_78852" WHERE "Co-contestant (Yaar vs. Pyaar)" = 'tina sachdev' | 0.089844 |
CREATE TABLE Student (StuID NUMBER, LName VARCHAR2, Fname VARCHAR2, Age NUMBER, Sex VARCHAR2, Major NUMBER, Advisor NUMBER, city_code VARCHAR2)
CREATE TABLE Lives_in (stuid NUMBER, dormid NUMBER, room_number NUMBER)
CREATE TABLE Dorm_amenity (amenid NUMBER, amenity_name VARCHAR2)
CREATE TABLE Has_amenity (dormid NUMBER, amenid NUMBER)
CREATE TABLE Dorm (dormid NUMBER, dorm_name VARCHAR2, student_capacity NUMBER, gender VARCHAR2)
| What are the first names of all students in Smith Hall, and count them by a bar chart | SELECT Fname, COUNT(Fname) FROM Student AS T1 JOIN Lives_in AS T2 ON T1.stuid = T2.stuid JOIN Dorm AS T3 ON T3.dormid = T2.dormid WHERE T3.dorm_name = 'Smith Hall' GROUP BY Fname | SELECT "Fname", COUNT("Fname") FROM "Student" "T1" JOIN "Lives_in" "T2" ON "T1"."stuid" = "T2"."stuid" JOIN "Dorm" "T3" ON "T2"."dormid" = "T3"."dormid" AND "T3"."dorm_name" = 'Smith Hall' GROUP BY "Fname" | 0.200195 |
CREATE TABLE offering_instructor (offering_instructor_id NUMBER, offering_id NUMBER, instructor_id NUMBER)
CREATE TABLE ta (campus_job_id NUMBER, student_id NUMBER, location VARCHAR2)
CREATE TABLE gsi (course_offering_id NUMBER, student_id NUMBER)
CREATE TABLE program (program_id NUMBER, name VARCHAR2, college VARCHAR2, introduction VARCHAR2)
CREATE TABLE course_prerequisite (pre_course_id NUMBER, course_id NUMBER)
CREATE TABLE semester (semester_id NUMBER, semester VARCHAR2, year 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 (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 jobs (job_id NUMBER, job_title VARCHAR2, description VARCHAR2, requirement VARCHAR2, city VARCHAR2, state VARCHAR2, country VARCHAR2, zip NUMBER)
CREATE TABLE area (course_id NUMBER, area VARCHAR2)
CREATE TABLE program_course (program_id NUMBER, course_id NUMBER, workload NUMBER, category VARCHAR2)
CREATE TABLE comment_instructor (instructor_id NUMBER, student_id NUMBER, score NUMBER, comment_text VARCHAR2)
CREATE TABLE program_requirement (program_id NUMBER, category VARCHAR2, min_credit NUMBER, additional_req VARCHAR2)
CREATE TABLE requirement (requirement_id NUMBER, requirement VARCHAR2, college 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 course_offering (offering_id NUMBER, course_id NUMBER, semester NUMBER, section_number NUMBER, start_time TIME, end_time TIME, monday VARCHAR2, tuesday VARCHAR2, wednesday VARCHAR2, thursday VARCHAR2, friday VARCHAR2, saturday VARCHAR2, sunday VARCHAR2, has_final_project VARCHAR2, has_final_exam VARCHAR2, textbook VARCHAR2, class_address VARCHAR2, allow_audit VARCHAR2)
CREATE TABLE student (student_id NUMBER, lastname VARCHAR2, firstname VARCHAR2, program_id NUMBER, declare_major VARCHAR2, total_credit NUMBER, total_gpa FLOAT, entered_as VARCHAR2, admit_term NUMBER, predicted_graduation_semester NUMBER, degree VARCHAR2, minor VARCHAR2, internship VARCHAR2)
CREATE TABLE instructor (instructor_id NUMBER, name VARCHAR2, uniqname VARCHAR2)
| Which MDE requirement class is the easiest ? | SELECT DISTINCT course.department, course.name, course.number, program_course.workload, program_course.workload FROM course, program_course WHERE program_course.category LIKE '%MDE%' AND program_course.course_id = course.course_id AND program_course.workload = (SELECT MIN(PROGRAM_COURSEalias1.workload) FROM program_course AS PROGRAM_COURSEalias1 WHERE PROGRAM_COURSEalias1.category LIKE '%MDE%') | WITH "_u_0" AS (SELECT MIN("PROGRAM_COURSEalias1"."workload") FROM "program_course" "PROGRAM_COURSEalias1" WHERE "PROGRAM_COURSEalias1"."category" LIKE '%MDE%') SELECT DISTINCT "course"."department", "course"."name", "course"."number", "program_course"."workload", "program_course"."workload" FROM "course" JOIN "program_course" ON "course"."course_id" = "program_course"."course_id" AND "program_course"."category" LIKE '%MDE%' JOIN "_u_0" "_u_0" ON "_u_0"."" = "program_course"."workload" | 0.478516 |
CREATE TABLE table_20683381_3 (electorate VARCHAR2, for___percentage_ VARCHAR2)
| When 27,822 (72.3) is the percentage for how many electorate measurements are there? | SELECT COUNT(electorate) FROM table_20683381_3 WHERE for___percentage_ = "27,822 (72.3)" | SELECT COUNT("electorate") FROM "table_20683381_3" WHERE "27,822 (72.3)" = "for___percentage_" | 0.091797 |
CREATE TABLE table_78592 ("Year" CLOB, "Award" CLOB, "Category" CLOB, "Nominated" CLOB, "Result" CLOB)
| What year was there a nomination for Best Actress at the Kids' Choice Awards Argentina? | SELECT "Year" FROM table_78592 WHERE "Award" = 'kids'' choice awards argentina' AND "Category" = 'best actress' | SELECT "Year" FROM "table_78592" WHERE "Award" = 'kids'' choice awards argentina' AND "Category" = 'best actress' | 0.110352 |
CREATE TABLE table_1920271_3 (partner VARCHAR2, outcome VARCHAR2, championship VARCHAR2)
| Who was her partner at the US Open and they were runner-up? | SELECT partner FROM table_1920271_3 WHERE outcome = "Runner-up" AND championship = "US Open" | SELECT "partner" FROM "table_1920271_3" WHERE "Runner-up" = "outcome" AND "US Open" = "championship" | 0.097656 |
CREATE TABLE microlab (microlabid NUMBER, patientunitstayid NUMBER, culturesite CLOB, organism CLOB, culturetakentime TIME)
CREATE TABLE diagnosis (diagnosisid NUMBER, patientunitstayid NUMBER, diagnosisname CLOB, diagnosistime TIME, icd9code CLOB)
CREATE TABLE lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime TIME)
CREATE TABLE vitalperiodic (vitalperiodicid NUMBER, patientunitstayid NUMBER, temperature NUMBER, sao2 NUMBER, heartrate NUMBER, respiration NUMBER, systemicsystolic NUMBER, systemicdiastolic NUMBER, systemicmean NUMBER, observationtime TIME)
CREATE TABLE allergy (allergyid NUMBER, patientunitstayid NUMBER, drugname CLOB, allergyname CLOB, allergytime TIME)
CREATE TABLE patient (uniquepid CLOB, patienthealthsystemstayid NUMBER, patientunitstayid NUMBER, gender CLOB, age CLOB, ethnicity CLOB, hospitalid NUMBER, wardid NUMBER, admissionheight NUMBER, admissionweight NUMBER, dischargeweight NUMBER, hospitaladmittime TIME, hospitaladmitsource CLOB, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus CLOB)
CREATE TABLE cost (costid NUMBER, uniquepid CLOB, patienthealthsystemstayid NUMBER, eventtype CLOB, eventid NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE 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 intakeoutput (intakeoutputid NUMBER, patientunitstayid NUMBER, cellpath CLOB, celllabel CLOB, cellvaluenumeric NUMBER, intakeoutputtime TIME)
| what were the specimen tests that patient 031-3507 last had in their first hospital visit? | SELECT microlab.culturesite FROM microlab WHERE microlab.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '031-3507' AND NOT patient.hospitaldischargetime IS NULL ORDER BY patient.hospitaladmittime LIMIT 1)) ORDER BY microlab.culturetakentime DESC LIMIT 1 | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '031-3507' AND NOT "patient"."hospitaldischargetime" IS NULL GROUP BY "patienthealthsystemstayid" ORDER BY "patient"."hospitaladmittime" FETCH FIRST 1 ROWS ONLY), "_u_1" AS (SELECT "patient"."patientunitstayid" FROM "patient" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "patient"."patienthealthsystemstayid" WHERE NOT "_u_0"."" IS NULL GROUP BY "patientunitstayid") SELECT "microlab"."culturesite" FROM "microlab" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "microlab"."patientunitstayid" WHERE NOT "_u_1"."" IS NULL ORDER BY "microlab"."culturetakentime" DESC FETCH FIRST 1 ROWS ONLY | 0.664063 |
CREATE TABLE table_72989 ("Year" FLOAT, "Date ( Opening ) " CLOB, "Date ( Closing ) " CLOB, "Opening Film" CLOB, "Number of Screening" CLOB, "Award-Winning Film" CLOB)
| Which award-winning film has a screening number of 50 films 50 televised? | SELECT "Award-Winning Film" FROM table_72989 WHERE "Number of Screening" = '50 films 50 televised' | SELECT "Award-Winning Film" FROM "table_72989" WHERE "Number of Screening" = '50 films 50 televised' | 0.097656 |
CREATE TABLE captain (Captain_ID NUMBER, Name CLOB, Ship_ID NUMBER, age CLOB, Class CLOB, Rank CLOB)
CREATE TABLE Ship (Ship_ID NUMBER, Name CLOB, Type CLOB, Built_Year FLOAT, Class CLOB, Flag CLOB)
| Draw a pie chart for how many captains with younger than 50 are in each rank? | SELECT Rank, COUNT(*) FROM captain WHERE age < 50 GROUP BY Rank | SELECT "Rank", COUNT(*) FROM "captain" WHERE "age" < 50 GROUP BY "Rank" | 0.069336 |
CREATE TABLE table_name_2 (protein_name VARCHAR2, sequence_identity_to_human_protein VARCHAR2)
| What is the protein name of the protein with a sequence identity to human protein of 32%? | SELECT protein_name FROM table_name_2 WHERE sequence_identity_to_human_protein = "32%" | SELECT "protein_name" FROM "table_name_2" WHERE "32%" = "sequence_identity_to_human_protein" | 0.089844 |
CREATE TABLE table_27882867_9 (date VARCHAR2, score VARCHAR2)
| What date was the game score w 104-98? | SELECT date FROM table_27882867_9 WHERE score = "W 104-98" | SELECT "date" FROM "table_27882867_9" WHERE "W 104-98" = "score" | 0.0625 |
CREATE TABLE table_26014 ("Branding" CLOB, "Callsign" CLOB, "Ch. #" CLOB, "Power kW" CLOB, "Station Type" CLOB, "Location ( Transmitter site ) " CLOB)
| When dxcc-tv is the call sign how many station types are there? | SELECT COUNT("Station Type") FROM table_26014 WHERE "Callsign" = 'DXCC-TV' | SELECT COUNT("Station Type") FROM "table_26014" WHERE "Callsign" = 'DXCC-TV' | 0.074219 |
CREATE TABLE table_63808 ("Title" CLOB, "Author" CLOB, "First Issue" CLOB, "Last Issue" CLOB, "Completed?" CLOB)
| What is the First Issue date of Bamboo Blade? | SELECT "First Issue" FROM table_63808 WHERE "Title" = 'bamboo blade' | SELECT "First Issue" FROM "table_63808" WHERE "Title" = 'bamboo blade' | 0.068359 |
CREATE TABLE table_name_29 (remote_camera VARCHAR2)
| Which 3-person dive has 0 as a remote camera? | SELECT 3 AS _person_dive FROM table_name_29 WHERE remote_camera = "0" | SELECT 3 AS "_person_dive" FROM "table_name_29" WHERE "0" = "remote_camera" | 0.073242 |
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 prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
| what is the number of patients whose year of birth is less than 2167 and item id is 51478? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.dob_year < "2167" AND lab.itemid = "51478" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "lab" ON "51478" = "lab"."itemid" AND "demographic"."hadm_id" = "lab"."hadm_id" WHERE "2167" > "demographic"."dob_year" | 0.188477 |
CREATE TABLE table_name_99 (goals_for VARCHAR2, losses NUMBER)
| What is the total number of Goals For, when Losses is greater than 16? | SELECT COUNT(goals_for) FROM table_name_99 WHERE losses > 16 | SELECT COUNT("goals_for") FROM "table_name_99" WHERE "losses" > 16 | 0.064453 |
CREATE TABLE table_203_652 (id NUMBER, "goal" NUMBER, "date" CLOB, "venue" CLOB, "opponent" CLOB, "score" CLOB, "result" CLOB, "competition" CLOB)
| how many competitions had a score of 1-0 at most ? | SELECT COUNT(*) FROM table_203_652 WHERE "score" = '1-0' | SELECT COUNT(*) FROM "table_203_652" WHERE "score" = '1-0' | 0.056641 |
CREATE TABLE table_name_57 (all_bills_sponsored VARCHAR2, bills_originally_cosponsored VARCHAR2, all_amendments_cosponsored VARCHAR2)
| What is the number of bills sponsored associated with over 113 bills originally cosponsored and under 47 amendments cosponsored? | SELECT all_bills_sponsored FROM table_name_57 WHERE bills_originally_cosponsored > 113 AND all_amendments_cosponsored < 47 | SELECT "all_bills_sponsored" FROM "table_name_57" WHERE "all_amendments_cosponsored" < 47 AND "bills_originally_cosponsored" > 113 | 0.126953 |
CREATE TABLE table_name_21 (decision VARCHAR2, home VARCHAR2)
| Who made the decision when toronto was the home team? | SELECT decision FROM table_name_21 WHERE home = "toronto" | SELECT "decision" FROM "table_name_21" WHERE "home" = "toronto" | 0.061523 |
CREATE TABLE journal (Journal_ID NUMBER, Date CLOB, Theme CLOB, Sales NUMBER)
CREATE TABLE journal_committee (Editor_ID NUMBER, Journal_ID NUMBER, Work_Type CLOB)
CREATE TABLE editor (Editor_ID NUMBER, Name CLOB, Age FLOAT)
| Show the names of editors that are on the committee of journals with sales bigger than 3000, and count them by a bar chart | SELECT Name, COUNT(Name) FROM journal_committee AS T1 JOIN editor AS T2 ON T1.Editor_ID = T2.Editor_ID JOIN journal AS T3 ON T1.Journal_ID = T3.Journal_ID WHERE T3.Sales > 3000 GROUP BY Name | SELECT "Name", COUNT("Name") FROM "journal_committee" "T1" JOIN "editor" "T2" ON "T1"."Editor_ID" = "T2"."Editor_ID" JOIN "journal" "T3" ON "T1"."Journal_ID" = "T3"."Journal_ID" AND "T3"."Sales" > 3000 GROUP BY "Name" | 0.211914 |
CREATE TABLE swimmer (ID NUMBER, name CLOB, Nationality CLOB, meter_100 FLOAT, meter_200 CLOB, meter_300 CLOB, meter_400 CLOB, meter_500 CLOB, meter_600 CLOB, meter_700 CLOB, Time CLOB)
CREATE TABLE event (ID NUMBER, Name CLOB, Stadium_ID NUMBER, Year CLOB)
CREATE TABLE stadium (ID NUMBER, name CLOB, Capacity NUMBER, City CLOB, Country CLOB, Opening_year NUMBER)
CREATE TABLE record (ID NUMBER, Result CLOB, Swimmer_ID NUMBER, Event_ID NUMBER)
| Return a bar chart about the distribution of Time and meter_100 , and show meter_100 from high to low order. | SELECT Time, meter_100 FROM swimmer ORDER BY meter_100 DESC | SELECT "Time", "meter_100" FROM "swimmer" ORDER BY "meter_100" DESC | 0.06543 |
CREATE TABLE vitalperiodic (vitalperiodicid NUMBER, patientunitstayid NUMBER, temperature NUMBER, sao2 NUMBER, heartrate NUMBER, respiration NUMBER, systemicsystolic NUMBER, systemicdiastolic NUMBER, systemicmean NUMBER, observationtime TIME)
CREATE TABLE diagnosis (diagnosisid NUMBER, patientunitstayid NUMBER, diagnosisname CLOB, diagnosistime TIME, icd9code CLOB)
CREATE TABLE lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime TIME)
CREATE TABLE treatment (treatmentid NUMBER, patientunitstayid NUMBER, treatmentname CLOB, treatmenttime TIME)
CREATE TABLE medication (medicationid NUMBER, patientunitstayid NUMBER, drugname CLOB, dosage CLOB, routeadmin CLOB, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE microlab (microlabid NUMBER, patientunitstayid NUMBER, culturesite CLOB, organism CLOB, culturetakentime TIME)
CREATE TABLE cost (costid NUMBER, uniquepid CLOB, patienthealthsystemstayid NUMBER, eventtype CLOB, eventid NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE allergy (allergyid NUMBER, patientunitstayid NUMBER, drugname CLOB, allergyname CLOB, allergytime TIME)
CREATE TABLE patient (uniquepid CLOB, patienthealthsystemstayid NUMBER, patientunitstayid NUMBER, gender CLOB, age CLOB, ethnicity CLOB, hospitalid NUMBER, wardid NUMBER, admissionheight NUMBER, admissionweight NUMBER, dischargeweight NUMBER, hospitaladmittime TIME, hospitaladmitsource CLOB, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus CLOB)
CREATE TABLE intakeoutput (intakeoutputid NUMBER, patientunitstayid NUMBER, cellpath CLOB, celllabel CLOB, cellvaluenumeric NUMBER, intakeoutputtime TIME)
| what is the average amount of the total hospital cost which involves viral hepatitis - hepatitis b since 2 years ago? | SELECT AVG(t1.c1) FROM (SELECT SUM(cost.cost) AS c1 FROM cost WHERE cost.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.patientunitstayid IN (SELECT diagnosis.patientunitstayid FROM diagnosis WHERE diagnosis.diagnosisname = 'viral hepatitis - hepatitis b')) AND DATETIME(cost.chargetime) >= DATETIME(CURRENT_TIME(), '-2 year') GROUP BY cost.patienthealthsystemstayid) AS t1 | WITH "_u_0" AS (SELECT "diagnosis"."patientunitstayid" FROM "diagnosis" WHERE "diagnosis"."diagnosisname" = 'viral hepatitis - hepatitis b' GROUP BY "patientunitstayid"), "_u_1" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "patient"."patientunitstayid" WHERE NOT "_u_0"."" IS NULL GROUP BY "patienthealthsystemstayid"), "t1" AS (SELECT SUM("cost"."cost") AS "c1" FROM "cost" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "cost"."patienthealthsystemstayid" WHERE DATETIME("cost"."chargetime") >= DATETIME(CURRENT_TIME(), '-2 year') AND NOT "_u_1"."" IS NULL GROUP BY "cost"."patienthealthsystemstayid") SELECT AVG("t1"."c1") FROM "t1" "t1" | 0.672852 |
CREATE TABLE table_53183 ("Driver" CLOB, "Constructor" CLOB, "Laps" FLOAT, "Time/Retired" CLOB, "Grid" FLOAT)
| How many laps did the grid 1 engine have? | SELECT SUM("Laps") FROM table_53183 WHERE "Time/Retired" = 'engine' AND "Grid" = '1' | SELECT SUM("Laps") FROM "table_53183" WHERE "Grid" = '1' AND "Time/Retired" = 'engine' | 0.083984 |
CREATE TABLE offering_instructor (offering_instructor_id NUMBER, offering_id NUMBER, instructor_id NUMBER)
CREATE TABLE program_course (program_id NUMBER, course_id NUMBER, workload NUMBER, category VARCHAR2)
CREATE TABLE instructor (instructor_id NUMBER, name VARCHAR2, uniqname VARCHAR2)
CREATE TABLE semester (semester_id NUMBER, semester VARCHAR2, year NUMBER)
CREATE TABLE ta (campus_job_id NUMBER, student_id NUMBER, location VARCHAR2)
CREATE TABLE requirement (requirement_id NUMBER, requirement VARCHAR2, college VARCHAR2)
CREATE TABLE 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 course_prerequisite (pre_course_id NUMBER, course_id NUMBER)
CREATE TABLE program_requirement (program_id NUMBER, category VARCHAR2, min_credit NUMBER, additional_req VARCHAR2)
CREATE TABLE area (course_id NUMBER, area 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 jobs (job_id NUMBER, job_title VARCHAR2, description VARCHAR2, requirement VARCHAR2, city VARCHAR2, state VARCHAR2, country VARCHAR2, zip NUMBER)
CREATE TABLE course_tags_count (course_id NUMBER, clear_grading NUMBER, pop_quiz NUMBER, group_projects NUMBER, inspirational NUMBER, long_lectures NUMBER, extra_credit NUMBER, few_tests NUMBER, good_feedback NUMBER, tough_tests NUMBER, heavy_papers NUMBER, cares_for_students NUMBER, heavy_assignments NUMBER, respected NUMBER, participation NUMBER, heavy_reading NUMBER, tough_grader NUMBER, hilarious NUMBER, would_take_again NUMBER, good_lecture NUMBER, no_skip NUMBER)
CREATE TABLE course (course_id NUMBER, name VARCHAR2, department VARCHAR2, number VARCHAR2, credits VARCHAR2, advisory_requirement VARCHAR2, enforced_requirement VARCHAR2, description VARCHAR2, num_semesters NUMBER, num_enrolled NUMBER, has_discussion VARCHAR2, has_lab VARCHAR2, has_projects VARCHAR2, has_exams VARCHAR2, num_reviews NUMBER, clarity_score NUMBER, easiness_score NUMBER, helpfulness_score NUMBER)
CREATE TABLE student_record (student_id NUMBER, course_id NUMBER, semester NUMBER, grade VARCHAR2, how VARCHAR2, transfer_source VARCHAR2, earn_credit VARCHAR2, repeat_term VARCHAR2, test_id VARCHAR2)
CREATE TABLE comment_instructor (instructor_id NUMBER, student_id NUMBER, score NUMBER, comment_text VARCHAR2)
CREATE TABLE program (program_id NUMBER, name VARCHAR2, college VARCHAR2, introduction VARCHAR2)
CREATE TABLE gsi (course_offering_id NUMBER, student_id NUMBER)
| On average , how difficult are the Other classes ? | SELECT AVG(workload) FROM program_course WHERE category LIKE '%Other%' | SELECT AVG("workload") FROM "program_course" WHERE "category" LIKE '%Other%' | 0.074219 |
CREATE TABLE table_25481 ("Game" FLOAT, "Date" CLOB, "Team" CLOB, "Score" CLOB, "High points" CLOB, "High rebounds" CLOB, "High assists" CLOB, "Location Attendance" CLOB, "Record" CLOB)
| what is the total number of high rebounds for minnesota? | SELECT COUNT("High rebounds") FROM table_25481 WHERE "Team" = 'Minnesota' | SELECT COUNT("High rebounds") FROM "table_25481" WHERE "Team" = 'Minnesota' | 0.073242 |
CREATE TABLE table_29293 ("Week #" CLOB, "Theme" CLOB, "Song choice" CLOB, "Original artist" CLOB, "Order #" CLOB, "Result" CLOB)
| how many times is the week # is audition? | SELECT COUNT("Original artist") FROM table_29293 WHERE "Week #" = 'Audition' | SELECT COUNT("Original artist") FROM "table_29293" WHERE "Week #" = 'Audition' | 0.076172 |
CREATE TABLE table_name_43 (opponents VARCHAR2, partner VARCHAR2, date VARCHAR2)
| Tell me the opponents for mashona washington november 21, 2009 | SELECT opponents FROM table_name_43 WHERE partner = "mashona washington" AND date = "november 21, 2009" | SELECT "opponents" FROM "table_name_43" WHERE "date" = "november 21, 2009" AND "mashona washington" = "partner" | 0.108398 |
CREATE TABLE table_69745 ("Date" CLOB, "Visitor" CLOB, "Score" CLOB, "Home" CLOB, "Record" CLOB)
| Who is the visitor on April 5? | SELECT "Visitor" FROM table_69745 WHERE "Date" = 'april 5' | SELECT "Visitor" FROM "table_69745" WHERE "Date" = 'april 5' | 0.058594 |
CREATE TABLE table_name_82 (value VARCHAR2, type VARCHAR2)
| What value has negative infinity? | SELECT value FROM table_name_82 WHERE type = "negative infinity" | SELECT "value" FROM "table_name_82" WHERE "negative infinity" = "type" | 0.068359 |
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