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CREATE TABLE table_name_74 (college VARCHAR2, round VARCHAR2, player VARCHAR2)
| WHAT COLLEGE HAS A ROUND LARGER THAN 9, WITH BUTCH WEBSTER? | SELECT college FROM table_name_74 WHERE round > 9 AND player = "butch webster" | SELECT "college" FROM "table_name_74" WHERE "butch webster" = "player" AND "round" > 9 | 0.083984 |
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)
| count the number of patients whose admission type is urgent and drug name is diphenhydramine hcl? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.admission_type = "URGENT" AND prescriptions.drug = "DiphenhydrAMINE HCl" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "prescriptions" ON "DiphenhydrAMINE HCl" = "prescriptions"."drug" AND "demographic"."hadm_id" = "prescriptions"."hadm_id" WHERE "URGENT" = "demographic"."admission_type" | 0.237305 |
CREATE TABLE SuggestedEditVotes (Id NUMBER, SuggestedEditId NUMBER, UserId NUMBER, VoteTypeId NUMBER, CreationDate TIME, TargetUserId NUMBER, TargetRepChange NUMBER)
CREATE TABLE ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment CLOB)
CREATE TABLE Comments (Id NUMBER, PostId NUMBER, Score NUMBER, Text CLOB, CreationDate TIME, UserDisplayName CLOB, UserId NUMBER, ContentLicense CLOB)
CREATE TABLE PostTypes (Id NUMBER, Name CLOB)
CREATE TABLE ReviewTaskStates (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE ReviewTaskTypes (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 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 VoteTypes (Id NUMBER, Name CLOB)
CREATE TABLE SuggestedEdits (Id NUMBER, PostId NUMBER, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId NUMBER, Comment CLOB, Text CLOB, Title CLOB, Tags CLOB, RevisionGUID other)
CREATE TABLE Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
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 PendingFlags (Id NUMBER, FlagTypeId NUMBER, PostId NUMBER, CreationDate TIME, CloseReasonTypeId NUMBER, CloseAsOffTopicReasonTypeId NUMBER, DuplicateOfQuestionId NUMBER, BelongsOnBaseHostAddress CLOB)
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 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 ReviewTaskResultTypes (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 PostTags (PostId NUMBER, TagId NUMBER)
CREATE TABLE ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId NUMBER)
CREATE TABLE PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId NUMBER)
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 Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount 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 ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
CREATE TABLE FlagTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE CloseReasonTypes (Id NUMBER, Name CLOB, Description CLOB)
| getting a simple query done. | SELECT * FROM PostHistoryTypes | SELECT * FROM "PostHistoryTypes" | 0.03125 |
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)
| For each bed type, find the average room price Show bar chart, rank bar in desc order. | SELECT bedType, AVG(basePrice) FROM Rooms GROUP BY bedType ORDER BY bedType DESC | SELECT "bedType", AVG("basePrice") FROM "Rooms" GROUP BY "bedType" ORDER BY "bedType" DESC | 0.087891 |
CREATE TABLE treatment (treatmentid NUMBER, patientunitstayid NUMBER, treatmentname CLOB, treatmenttime TIME)
CREATE TABLE medication (medicationid NUMBER, patientunitstayid NUMBER, drugname CLOB, dosage CLOB, routeadmin CLOB, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE microlab (microlabid NUMBER, patientunitstayid NUMBER, culturesite CLOB, organism CLOB, culturetakentime TIME)
CREATE TABLE diagnosis (diagnosisid NUMBER, patientunitstayid NUMBER, diagnosisname CLOB, diagnosistime TIME, icd9code CLOB)
CREATE TABLE vitalperiodic (vitalperiodicid NUMBER, patientunitstayid NUMBER, temperature NUMBER, sao2 NUMBER, heartrate NUMBER, respiration NUMBER, systemicsystolic NUMBER, systemicdiastolic NUMBER, systemicmean NUMBER, observationtime TIME)
CREATE TABLE allergy (allergyid NUMBER, patientunitstayid NUMBER, drugname CLOB, allergyname CLOB, allergytime TIME)
CREATE TABLE cost (costid NUMBER, uniquepid CLOB, patienthealthsystemstayid NUMBER, eventtype CLOB, eventid NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime TIME)
CREATE TABLE patient (uniquepid CLOB, patienthealthsystemstayid NUMBER, patientunitstayid NUMBER, gender CLOB, age CLOB, ethnicity CLOB, hospitalid NUMBER, wardid NUMBER, admissionheight NUMBER, admissionweight NUMBER, dischargeweight NUMBER, hospitaladmittime TIME, hospitaladmitsource CLOB, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus CLOB)
CREATE TABLE intakeoutput (intakeoutputid NUMBER, patientunitstayid NUMBER, cellpath CLOB, celllabel CLOB, cellvaluenumeric NUMBER, intakeoutputtime TIME)
| what's the name of the procedure that patient 010-19726 got two or more times until 64 months ago? | SELECT t1.treatmentname FROM (SELECT treatment.treatmentname, COUNT(treatment.treatmenttime) AS c1 FROM treatment WHERE treatment.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '010-19726')) AND DATETIME(treatment.treatmenttime) <= DATETIME(CURRENT_TIME(), '-64 month') GROUP BY treatment.treatmentname) AS t1 WHERE t1.c1 >= 2 | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '010-19726' 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"), "t1" AS (SELECT "treatment"."treatmentname", COUNT("treatment"."treatmenttime") AS "c1" FROM "treatment" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "treatment"."patientunitstayid" WHERE DATETIME("treatment"."treatmenttime") <= DATETIME(CURRENT_TIME(), '-64 month') AND NOT "_u_1"."" IS NULL GROUP BY "treatment"."treatmentname") SELECT "t1"."treatmentname" FROM "t1" "t1" WHERE "t1"."c1" >= 2 | 0.726563 |
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
| give the number of patients whose procedure short title is cardiac rhythm conv nec. | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE procedures.short_title = "Cardiac rhythm conv NEC" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "procedures" ON "Cardiac rhythm conv NEC" = "procedures"."short_title" AND "demographic"."hadm_id" = "procedures"."hadm_id" | 0.192383 |
CREATE TABLE table_41797 ("Place" FLOAT, "Scorer" CLOB, "Goals" FLOAT, "Appearances" FLOAT, "Team" CLOB)
| What is the total number of appearances for players from Chaux-de-Fonds with places over 8? | SELECT COUNT("Appearances") FROM table_41797 WHERE "Team" = 'chaux-de-fonds' AND "Place" > '8' | SELECT COUNT("Appearances") FROM "table_41797" WHERE "Place" > '8' AND "Team" = 'chaux-de-fonds' | 0.09375 |
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
| count the number of patients whose year of death is less than or equal to 2126 and drug code is ggac5l? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.dod_year <= "2126.0" AND prescriptions.formulary_drug_cd = "GGAC5L" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "prescriptions" ON "GGAC5L" = "prescriptions"."formulary_drug_cd" AND "demographic"."hadm_id" = "prescriptions"."hadm_id" WHERE "2126.0" >= "demographic"."dod_year" | 0.232422 |
CREATE TABLE table_17640 ("Record" CLOB, "Date and Time" CLOB, "Competition" CLOB, "Home or Away" CLOB, "Opponent" CLOB, "Score" CLOB)
| What records are hit where the opponent is Aylesbury United? | SELECT "Record" FROM table_17640 WHERE "Opponent" = 'Aylesbury United' | SELECT "Record" FROM "table_17640" WHERE "Opponent" = 'Aylesbury United' | 0.070313 |
CREATE TABLE microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
CREATE TABLE outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
CREATE TABLE 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)
CREATE TABLE labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
CREATE TABLE patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
CREATE TABLE diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE prescriptions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, startdate TIME, enddate TIME, drug CLOB, dose_val_rx CLOB, dose_unit_rx CLOB, route CLOB)
CREATE TABLE d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
CREATE TABLE procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE admissions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, admittime TIME, dischtime TIME, admission_type CLOB, admission_location CLOB, discharge_location CLOB, insurance CLOB, language CLOB, marital_status CLOB, ethnicity CLOB, age NUMBER)
CREATE TABLE 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 transfers (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, eventtype CLOB, careunit CLOB, wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
| how many days have it been since patient 2518 was admitted into the hospital? | SELECT 1 * (STRFTIME('%j', CURRENT_TIME()) - STRFTIME('%j', admissions.admittime)) FROM admissions WHERE admissions.subject_id = 2518 AND admissions.dischtime IS NULL | SELECT 1 * (STRFTIME('%j', CURRENT_TIME()) - STRFTIME('%j', "admissions"."admittime")) FROM "admissions" WHERE "admissions"."dischtime" IS NULL AND "admissions"."subject_id" = 2518 | 0.175781 |
CREATE TABLE table_35237 ("Game" FLOAT, "January" FLOAT, "Opponent" CLOB, "Score" CLOB, "Record" CLOB, "Points" FLOAT)
| What's the record for a game past 44 against the Dallas Stars with more than 54 points? | SELECT "Record" FROM table_35237 WHERE "Points" > '54' AND "Game" > '44' AND "Opponent" = 'dallas stars' | SELECT "Record" FROM "table_35237" WHERE "Game" > '44' AND "Opponent" = 'dallas stars' AND "Points" > '54' | 0.103516 |
CREATE TABLE table_18989 ("Country/Region" CLOB, "Local title" CLOB, "Television network" CLOB, "Seasons and winners" CLOB, "Judges" CLOB, "Presenters" CLOB)
| how many local title with televbeingion network being tv nova website | SELECT COUNT("Local title") FROM table_18989 WHERE "Television network" = 'TV Nova Website' | SELECT COUNT("Local title") FROM "table_18989" WHERE "Television network" = 'TV Nova Website' | 0.09082 |
CREATE TABLE table_name_5 (laps NUMBER, bike VARCHAR2, grid VARCHAR2, time VARCHAR2)
| What is the sum of the laps with a grid less than 28, retirement time, and a ducati 1098 f08 bikes? | SELECT SUM(laps) FROM table_name_5 WHERE grid < 28 AND time = "retirement" AND bike = "ducati 1098 f08" | SELECT SUM("laps") FROM "table_name_5" WHERE "bike" = "ducati 1098 f08" AND "grid" < 28 AND "retirement" = "time" | 0.110352 |
CREATE TABLE table_name_1 (auckland VARCHAR2, sydney VARCHAR2, adelaide VARCHAR2, melbourne VARCHAR2)
| Which Auckland has an Adelaide of no, a Melbourne of yes, and a Sydney of yes? | SELECT auckland FROM table_name_1 WHERE adelaide = "no" AND melbourne = "yes" AND sydney = "yes" | SELECT "auckland" FROM "table_name_1" WHERE "adelaide" = "no" AND "melbourne" = "yes" AND "sydney" = "yes" | 0.103516 |
CREATE TABLE table_name_2 (leading_scorer_1 VARCHAR2, leaguecontested VARCHAR2, fa_cup VARCHAR2)
| Which Leading scorer 1 has a League Contested of northern premier league premier division, and an FA Cup of 2q? | SELECT leading_scorer_1 FROM table_name_2 WHERE leaguecontested = "northern premier league premier division" AND fa_cup = "2q" | SELECT "leading_scorer_1" FROM "table_name_2" WHERE "2q" = "fa_cup" AND "leaguecontested" = "northern premier league premier division" | 0.130859 |
CREATE TABLE Employee (name VARCHAR2, eid VARCHAR2)
CREATE TABLE Aircraft (aid VARCHAR2, name VARCHAR2)
CREATE TABLE Certificate (eid VARCHAR2, aid VARCHAR2)
| Show names for all employees who have certificate of Boeing 737-800. | SELECT T1.name FROM Employee AS T1 JOIN Certificate AS T2 ON T1.eid = T2.eid JOIN Aircraft AS T3 ON T3.aid = T2.aid WHERE T3.name = "Boeing 737-800" | SELECT "T1"."name" FROM "Employee" "T1" JOIN "Certificate" "T2" ON "T1"."eid" = "T2"."eid" JOIN "Aircraft" "T3" ON "Boeing 737-800" = "T3"."name" AND "T2"."aid" = "T3"."aid" | 0.168945 |
CREATE TABLE table_6662 ("Date" CLOB, "Opponent" CLOB, "Score" CLOB, "Loss" CLOB, "Attendance" FLOAT, "Record" CLOB)
| What is the attendance number for the record of 17-22? | SELECT "Attendance" FROM table_6662 WHERE "Record" = '17-22' | SELECT "Attendance" FROM "table_6662" WHERE "Record" = '17-22' | 0.060547 |
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
| what is the number of patients whose religion is romanian east. orth and year of birth is less than 2078? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.religion = "ROMANIAN EAST. ORTH" AND demographic.dob_year < "2078" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "2078" > "demographic"."dob_year" AND "ROMANIAN EAST. ORTH" = "demographic"."religion" | 0.157227 |
CREATE TABLE activity (actid NUMBER, activity_name CLOB)
CREATE TABLE faculty_participates_in (facid NUMBER, actid NUMBER)
CREATE TABLE faculty (facid NUMBER, lname CLOB, fname CLOB, rank CLOB, sex CLOB, phone NUMBER, room CLOB, building CLOB)
CREATE TABLE participates_in (stuid NUMBER, actid NUMBER)
CREATE TABLE student (stuid NUMBER, lname CLOB, fname CLOB, age NUMBER, sex CLOB, major NUMBER, advisor NUMBER, city_code CLOB)
| Which students participate in both Canoeing and Kayaking as their activities? Tell me their student ids. | SELECT T1.stuid FROM participates_in AS T1 JOIN activity AS T2 ON T2.actid = T2.actid WHERE T2.activity_name = 'Canoeing' INTERSECT SELECT T1.stuid FROM participates_in AS T1 JOIN activity AS T2 ON T2.actid = T2.actid WHERE T2.activity_name = 'Kayaking' | SELECT "T1"."stuid" FROM "participates_in" "T1" JOIN "activity" "T2" ON "T2"."actid" = "T2"."actid" AND "T2"."activity_name" = 'Canoeing' INTERSECT SELECT "T1"."stuid" FROM "participates_in" "T1" JOIN "activity" "T2" ON "T2"."actid" = "T2"."actid" AND "T2"."activity_name" = 'Kayaking' | 0.27832 |
CREATE TABLE table_name_77 (Id VARCHAR2)
| What is the 1995 when the 1991 is Grand Slams? | SELECT 1995 FROM table_name_77 WHERE 1991 = "grand slams" | SELECT 1995 FROM "table_name_77" WHERE "grand slams" = 1991 | 0.057617 |
CREATE TABLE table_name_8 (network VARCHAR2, genre VARCHAR2)
| Which network's genre is music? | SELECT network FROM table_name_8 WHERE genre = "music" | SELECT "network" FROM "table_name_8" WHERE "genre" = "music" | 0.058594 |
CREATE TABLE table_name_45 (company VARCHAR2, country VARCHAR2, author VARCHAR2)
| What is the company from Greece with author Aeschylus? | SELECT company FROM table_name_45 WHERE country = "greece" AND author = "aeschylus" | SELECT "company" FROM "table_name_45" WHERE "aeschylus" = "author" AND "country" = "greece" | 0.088867 |
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE 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)
| count the number of patients who have died in or before the year 2131 and underwent the procedure infusion of vasopressor agent. | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.dod_year <= "2131.0" AND procedures.long_title = "Infusion of vasopressor agent" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "procedures" ON "Infusion of vasopressor agent" = "procedures"."long_title" AND "demographic"."hadm_id" = "procedures"."hadm_id" WHERE "2131.0" >= "demographic"."dod_year" | 0.239258 |
CREATE TABLE member (Member_ID NUMBER, Name CLOB, Country CLOB, College_ID NUMBER)
CREATE TABLE college (College_ID NUMBER, Name CLOB, Leader_Name CLOB, College_Location CLOB)
CREATE TABLE round (Round_ID NUMBER, Member_ID NUMBER, Decoration_Theme CLOB, Rank_in_Round NUMBER)
| Plot the total number by grouped by country as a bar graph | SELECT Country, COUNT(*) FROM member GROUP BY Country | SELECT "Country", COUNT(*) FROM "member" GROUP BY "Country" | 0.057617 |
CREATE TABLE table_name_2 (gold VARCHAR2, bronze VARCHAR2, rank VARCHAR2)
| Tell me the total number of gold for bronze more than 0 and total more than 100 | SELECT COUNT(gold) FROM table_name_2 WHERE bronze > 0 AND rank = "total" AND "total" > 100 | SELECT COUNT("gold") FROM "table_name_2" WHERE "bronze" > 0 AND "rank" = "total" AND "total" > 100 | 0.095703 |
CREATE TABLE table_name_28 (event VARCHAR2, games VARCHAR2, sport VARCHAR2)
| What wrestling event was participated in during the 2008 Beijing games? | SELECT event FROM table_name_28 WHERE games = "2008 beijing" AND sport = "wrestling" | SELECT "event" FROM "table_name_28" WHERE "2008 beijing" = "games" AND "sport" = "wrestling" | 0.089844 |
CREATE TABLE ground_service (city_code CLOB, airport_code CLOB, transport_type CLOB, ground_fare NUMBER)
CREATE TABLE time_interval (period CLOB, begin_time NUMBER, end_time NUMBER)
CREATE TABLE class_of_service (booking_class VARCHAR2, rank NUMBER, class_description CLOB)
CREATE TABLE city (city_code VARCHAR2, city_name VARCHAR2, state_code VARCHAR2, country_name VARCHAR2, time_zone_code VARCHAR2)
CREATE TABLE flight_stop (flight_id NUMBER, stop_number NUMBER, stop_days CLOB, stop_airport CLOB, arrival_time NUMBER, arrival_airline CLOB, arrival_flight_number NUMBER, departure_time NUMBER, departure_airline CLOB, departure_flight_number NUMBER, stop_time NUMBER)
CREATE TABLE dual_carrier (main_airline VARCHAR2, low_flight_number NUMBER, high_flight_number NUMBER, dual_airline VARCHAR2, service_name CLOB)
CREATE TABLE flight (aircraft_code_sequence CLOB, airline_code VARCHAR2, airline_flight CLOB, arrival_time NUMBER, connections NUMBER, departure_time NUMBER, dual_carrier CLOB, flight_days CLOB, flight_id NUMBER, flight_number NUMBER, from_airport VARCHAR2, meal_code CLOB, stops NUMBER, time_elapsed NUMBER, to_airport VARCHAR2)
CREATE TABLE date_day (month_number NUMBER, day_number NUMBER, year NUMBER, day_name VARCHAR2)
CREATE TABLE compartment_class (compartment VARCHAR2, class_type VARCHAR2)
CREATE TABLE fare_basis (fare_basis_code CLOB, booking_class CLOB, class_type CLOB, premium CLOB, economy CLOB, discounted CLOB, night CLOB, season CLOB, basis_days CLOB)
CREATE TABLE code_description (code VARCHAR2, description CLOB)
CREATE TABLE time_zone (time_zone_code CLOB, time_zone_name CLOB, hours_from_gmt NUMBER)
CREATE TABLE airline (airline_code VARCHAR2, airline_name CLOB, note CLOB)
CREATE TABLE state (state_code CLOB, state_name CLOB, country_name CLOB)
CREATE TABLE flight_fare (flight_id NUMBER, fare_id NUMBER)
CREATE TABLE airport_service (city_code VARCHAR2, airport_code VARCHAR2, miles_distant NUMBER, direction VARCHAR2, minutes_distant NUMBER)
CREATE TABLE food_service (meal_code CLOB, meal_number NUMBER, compartment CLOB, meal_description VARCHAR2)
CREATE TABLE equipment_sequence (aircraft_code_sequence VARCHAR2, aircraft_code VARCHAR2)
CREATE TABLE restriction (restriction_code CLOB, advance_purchase NUMBER, stopovers CLOB, saturday_stay_required CLOB, minimum_stay NUMBER, maximum_stay NUMBER, application CLOB, no_discounts CLOB)
CREATE TABLE flight_leg (flight_id NUMBER, leg_number NUMBER, leg_flight NUMBER)
CREATE TABLE fare (fare_id NUMBER, from_airport VARCHAR2, to_airport VARCHAR2, fare_basis_code CLOB, fare_airline CLOB, restriction_code CLOB, one_direction_cost NUMBER, round_trip_cost NUMBER, round_trip_required VARCHAR2)
CREATE TABLE airport (airport_code VARCHAR2, airport_name CLOB, airport_location CLOB, state_code VARCHAR2, country_name VARCHAR2, time_zone_code VARCHAR2, minimum_connect_time NUMBER)
CREATE TABLE aircraft (aircraft_code VARCHAR2, aircraft_description VARCHAR2, manufacturer VARCHAR2, basic_type VARCHAR2, engines NUMBER, propulsion VARCHAR2, wide_body VARCHAR2, wing_span NUMBER, length NUMBER, weight NUMBER, capacity NUMBER, pay_load NUMBER, cruising_speed NUMBER, range_miles NUMBER, pressurized VARCHAR2)
CREATE TABLE days (days_code VARCHAR2, day_name VARCHAR2)
CREATE TABLE month (month_number NUMBER, month_name CLOB)
| show me all the flights out of BOSTON today | SELECT DISTINCT flight.flight_id FROM airport_service, city, date_day, days, flight WHERE city.city_code = airport_service.city_code AND city.city_name = 'BOSTON' AND date_day.day_number = 13 AND date_day.month_number = 6 AND date_day.year = 1991 AND days.day_name = date_day.day_name AND flight.flight_days = days.days_code AND flight.from_airport = airport_service.airport_code | SELECT DISTINCT "flight"."flight_id" FROM "airport_service" JOIN "date_day" ON "date_day"."day_number" = 13 AND "date_day"."month_number" = 6 AND "date_day"."year" = 1991 JOIN "city" ON "airport_service"."city_code" = "city"."city_code" AND "city"."city_name" = 'BOSTON' JOIN "days" ON "date_day"."day_name" = "days"."day_name" JOIN "flight" ON "airport_service"."airport_code" = "flight"."from_airport" AND "days"."days_code" = "flight"."flight_days" | 0.44043 |
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 ta (campus_job_id NUMBER, student_id NUMBER, location VARCHAR2)
CREATE TABLE offering_instructor (offering_instructor_id NUMBER, offering_id NUMBER, instructor_id NUMBER)
CREATE TABLE course_tags_count (course_id NUMBER, clear_grading NUMBER, pop_quiz NUMBER, group_projects NUMBER, inspirational NUMBER, long_lectures NUMBER, extra_credit NUMBER, few_tests NUMBER, good_feedback NUMBER, tough_tests NUMBER, heavy_papers NUMBER, cares_for_students NUMBER, heavy_assignments NUMBER, respected NUMBER, participation NUMBER, heavy_reading NUMBER, tough_grader NUMBER, hilarious NUMBER, would_take_again NUMBER, good_lecture NUMBER, no_skip NUMBER)
CREATE TABLE student (student_id NUMBER, lastname VARCHAR2, firstname VARCHAR2, program_id NUMBER, declare_major VARCHAR2, total_credit NUMBER, total_gpa FLOAT, entered_as VARCHAR2, admit_term NUMBER, predicted_graduation_semester NUMBER, degree VARCHAR2, minor VARCHAR2, internship VARCHAR2)
CREATE TABLE program_requirement (program_id NUMBER, category VARCHAR2, min_credit NUMBER, additional_req VARCHAR2)
CREATE TABLE course_prerequisite (pre_course_id NUMBER, course_id NUMBER)
CREATE TABLE jobs (job_id NUMBER, job_title VARCHAR2, description VARCHAR2, requirement VARCHAR2, city VARCHAR2, state VARCHAR2, country VARCHAR2, zip NUMBER)
CREATE TABLE area (course_id NUMBER, area VARCHAR2)
CREATE TABLE semester (semester_id NUMBER, semester VARCHAR2, year NUMBER)
CREATE TABLE program (program_id NUMBER, name VARCHAR2, college VARCHAR2, introduction VARCHAR2)
CREATE TABLE instructor (instructor_id NUMBER, name VARCHAR2, uniqname VARCHAR2)
CREATE TABLE 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 gsi (course_offering_id NUMBER, student_id NUMBER)
CREATE TABLE requirement (requirement_id NUMBER, requirement VARCHAR2, college VARCHAR2)
CREATE TABLE program_course (program_id NUMBER, course_id NUMBER, workload NUMBER, category 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 comment_instructor (instructor_id NUMBER, student_id NUMBER, score NUMBER, comment_text VARCHAR2)
| Have I taken any human computer interaction classes ? | SELECT DISTINCT course.department, course.name, course.number FROM course INNER JOIN student_record ON student_record.course_id = course.course_id INNER JOIN area ON student_record.course_id = area.course_id WHERE area.area LIKE '%human computer interaction%' AND student_record.student_id = 1 | SELECT DISTINCT "course"."department", "course"."name", "course"."number" FROM "course" JOIN "student_record" ON "course"."course_id" = "student_record"."course_id" AND "student_record"."student_id" = 1 JOIN "area" ON "area"."area" LIKE '%human computer interaction%' AND "area"."course_id" = "student_record"."course_id" | 0.313477 |
CREATE TABLE table_name_2 (yards NUMBER, game_time VARCHAR2, date VARCHAR2)
| Game time of 2nd quarter (0:00), and a Date of november 8, 1971 has how many average yards? | SELECT AVG(yards) FROM table_name_2 WHERE game_time = "2nd quarter (0:00)" AND date = "november 8, 1971" | SELECT AVG("yards") FROM "table_name_2" WHERE "2nd quarter (0:00)" = "game_time" AND "date" = "november 8, 1971" | 0.109375 |
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 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)
| how many patients with diagnoses icd9 code v4581 have american indian/alaska native ethnic background? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.ethnicity = "AMERICAN INDIAN/ALASKA NATIVE" AND diagnoses.icd9_code = "V4581" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "V4581" = "diagnoses"."icd9_code" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" WHERE "AMERICAN INDIAN/ALASKA NATIVE" = "demographic"."ethnicity" | 0.234375 |
CREATE TABLE table_23106 ("No." FLOAT, "Date" CLOB, "Tournament" CLOB, "Winning score" CLOB, "To par" CLOB, "Margin of victory" CLOB, "Runner ( s ) -up" CLOB)
| What was the margin of victory of Steve Stricker as a runner up? | SELECT "Margin of victory" FROM table_23106 WHERE "Runner(s)-up" = 'Steve Stricker' | SELECT "Margin of victory" FROM "table_23106" WHERE "Runner(s)-up" = 'Steve Stricker' | 0.083008 |
CREATE TABLE table_73972 ("No." FLOAT, "#" FLOAT, "Title" CLOB, "Directed by" CLOB, "Written by" CLOB, "Patient Portrayer" CLOB, "Original air date" CLOB, "Production code" FLOAT)
| Who wrote episode number 28? | SELECT "Written by" FROM table_73972 WHERE "No." = '28' | SELECT "Written by" FROM "table_73972" WHERE "No." = '28' | 0.055664 |
CREATE TABLE jobs (JOB_ID VARCHAR2, JOB_TITLE VARCHAR2, MIN_SALARY NUMBER, MAX_SALARY NUMBER)
CREATE TABLE employees (EMPLOYEE_ID NUMBER, FIRST_NAME VARCHAR2, LAST_NAME VARCHAR2, EMAIL VARCHAR2, PHONE_NUMBER VARCHAR2, HIRE_DATE DATE, JOB_ID VARCHAR2, SALARY NUMBER, COMMISSION_PCT NUMBER, MANAGER_ID NUMBER, DEPARTMENT_ID NUMBER)
CREATE TABLE job_history (EMPLOYEE_ID NUMBER, START_DATE DATE, END_DATE DATE, JOB_ID VARCHAR2, DEPARTMENT_ID NUMBER)
CREATE TABLE locations (LOCATION_ID NUMBER, STREET_ADDRESS VARCHAR2, POSTAL_CODE VARCHAR2, CITY VARCHAR2, STATE_PROVINCE VARCHAR2, COUNTRY_ID VARCHAR2)
CREATE TABLE departments (DEPARTMENT_ID NUMBER, DEPARTMENT_NAME VARCHAR2, MANAGER_ID NUMBER, LOCATION_ID NUMBER)
CREATE TABLE countries (COUNTRY_ID VARCHAR2, COUNTRY_NAME VARCHAR2, REGION_ID NUMBER)
CREATE TABLE regions (REGION_ID NUMBER, REGION_NAME VARCHAR2)
| For all employees who have the letters D or S in their first name, give me the comparison about the sum of department_id over the hire_date bin hire_date by weekday by a bar chart, sort by the sum department id in ascending please. | SELECT HIRE_DATE, SUM(DEPARTMENT_ID) FROM employees WHERE FIRST_NAME LIKE '%D%' OR FIRST_NAME LIKE '%S%' ORDER BY SUM(DEPARTMENT_ID) | SELECT "HIRE_DATE", SUM("DEPARTMENT_ID") FROM "employees" WHERE "FIRST_NAME" LIKE '%D%' OR "FIRST_NAME" LIKE '%S%' ORDER BY SUM("DEPARTMENT_ID") | 0.140625 |
CREATE TABLE table_48580 ("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 SCORE WITH THE TEAM OF INDIANA? | SELECT "Score" FROM table_48580 WHERE "Team" = 'indiana' | SELECT "Score" FROM "table_48580" WHERE "Team" = 'indiana' | 0.056641 |
CREATE TABLE table_45308 ("Date" CLOB, "Ship" CLOB, "Type" CLOB, "Nationality" CLOB, "Tonnage GRT" FLOAT, "Fate" CLOB)
| what is the ship with the date of 28.1.1915? | SELECT "Ship" FROM table_45308 WHERE "Date" = '28.1.1915' | SELECT "Ship" FROM "table_45308" WHERE "Date" = '28.1.1915' | 0.057617 |
CREATE TABLE table_name_2 (tournament VARCHAR2)
| Which 2010 stat featured the tournament of the Olympic Games? | SELECT 2010 FROM table_name_2 WHERE tournament = "olympic games" | SELECT 2010 FROM "table_name_2" WHERE "olympic games" = "tournament" | 0.066406 |
CREATE TABLE table_name_16 (rank VARCHAR2, athlete VARCHAR2, react VARCHAR2)
| How many total Rank listings have Liu Xiaosheng listed as the athlete with a react entry that is smaller than 0.245? | SELECT COUNT(rank) FROM table_name_16 WHERE athlete = "liu xiaosheng" AND react < 0.245 | SELECT COUNT("rank") FROM "table_name_16" WHERE "athlete" = "liu xiaosheng" AND "react" < 0.245 | 0.092773 |
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)
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 who were diagnosed for aftercare for healing traumatic fracture of lower leg and whose lab test fluid was pleural. | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE diagnoses.long_title = "Aftercare for healing traumatic fracture of lower leg" AND lab.fluid = "Pleural" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "Aftercare for healing traumatic fracture of lower leg" = "diagnoses"."long_title" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" JOIN "lab" ON "Pleural" = "lab"."fluid" AND "demographic"."hadm_id" = "lab"."hadm_id" | 0.301758 |
CREATE TABLE table_name_71 (attendance NUMBER, venue VARCHAR2, date VARCHAR2)
| What is the average Attendance, when Venue is 'Candlestick Park', and when Date is 'December 27'? | SELECT AVG(attendance) FROM table_name_71 WHERE venue = "candlestick park" AND date = "december 27" | SELECT AVG("attendance") FROM "table_name_71" WHERE "candlestick park" = "venue" AND "date" = "december 27" | 0.104492 |
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 admissions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, admittime TIME, dischtime TIME, admission_type CLOB, admission_location CLOB, discharge_location CLOB, insurance CLOB, language CLOB, marital_status CLOB, ethnicity CLOB, age NUMBER)
CREATE TABLE d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
CREATE TABLE transfers (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, eventtype CLOB, careunit CLOB, wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
CREATE TABLE 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 outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
CREATE TABLE diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE icustays (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, first_careunit CLOB, last_careunit CLOB, first_wardid NUMBER, last_wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE 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 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 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)
| what are the three most frequently prescribed drugs that were prescribed to female patients aged 30s after being diagnosed with obstructive sleep apnea within the same month? | SELECT t3.drug FROM (SELECT t2.drug, DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS c1 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 = 'obstructive sleep apnea')) AS t1 JOIN (SELECT admissions.subject_id, prescriptions.drug, prescriptions.startdate FROM prescriptions JOIN admissions ON prescriptions.hadm_id = admissions.hadm_id WHERE admissions.subject_id IN (SELECT patients.subject_id FROM patients WHERE patients.gender = 'f') AND admissions.age BETWEEN 30 AND 39) AS t2 ON t1.subject_id = t2.subject_id WHERE t1.charttime < t2.startdate AND DATETIME(t1.charttime, 'start of month') = DATETIME(t2.startdate, 'start of month') GROUP BY t2.drug) AS t3 WHERE t3.c1 <= 3 | WITH "_u_1" AS (SELECT "patients"."subject_id" FROM "patients" WHERE "patients"."gender" = 'f' GROUP BY "subject_id"), "t2" AS (SELECT "admissions"."subject_id", "prescriptions"."drug", "prescriptions"."startdate" FROM "prescriptions" JOIN "admissions" ON "admissions"."age" <= 39 AND "admissions"."age" >= 30 AND "admissions"."hadm_id" = "prescriptions"."hadm_id" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "admissions"."subject_id" WHERE NOT "_u_1"."" IS NULL), "t3" AS (SELECT "t2"."drug", 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" = 'obstructive sleep apnea' JOIN "admissions" ON "admissions"."hadm_id" = "diagnoses_icd"."hadm_id" JOIN "t2" "t2" ON "admissions"."subject_id" = "t2"."subject_id" AND "diagnoses_icd"."charttime" < "t2"."startdate" AND DATETIME("diagnoses_icd"."charttime", 'start of month') = DATETIME("t2"."startdate", 'start of month') GROUP BY "t2"."drug") SELECT "t3"."drug" FROM "t3" "t3" WHERE "t3"."c1" <= 3 | 1.055664 |
CREATE TABLE table_14206 ("Candidate" CLOB, "Background" CLOB, "Original Team" CLOB, "Hometown" CLOB, "Result" CLOB)
| What is the Original Team of the Clothing Company Owner Candidate? | SELECT "Original Team" FROM table_14206 WHERE "Background" = 'clothing company owner' | SELECT "Original Team" FROM "table_14206" WHERE "Background" = 'clothing company owner' | 0.084961 |
CREATE TABLE table_name_53 (condition VARCHAR2, prothrombin_time VARCHAR2, bleeding_time VARCHAR2, partial_thromboplastin_time VARCHAR2)
| Which Condition has a Bleeding time of unaffected, and a Partial thromboplastin time of prolonged, and a Prothrombin time of unaffected? | SELECT condition FROM table_name_53 WHERE bleeding_time = "unaffected" AND partial_thromboplastin_time = "prolonged" AND prothrombin_time = "unaffected" | SELECT "condition" FROM "table_name_53" WHERE "bleeding_time" = "unaffected" AND "partial_thromboplastin_time" = "prolonged" AND "prothrombin_time" = "unaffected" | 0.158203 |
CREATE TABLE table_204_621 (id NUMBER, "no." NUMBER, "date" CLOB, "tournament" CLOB, "winning score" CLOB, "margin\ of victory" CLOB, "runner ( s ) -up" CLOB)
| in which tournament did he have the biggest margin of victory ? | SELECT "tournament" FROM table_204_621 ORDER BY "margin\nof victory" DESC LIMIT 1 | SELECT "tournament" FROM "table_204_621" ORDER BY "margin\nof victory" DESC FETCH FIRST 1 ROWS ONLY | 0.09668 |
CREATE TABLE table_1584 ("Year" FLOAT, "Starts" FLOAT, "Wins" FLOAT, "Top 5" FLOAT, "Top 10" FLOAT, "Poles" FLOAT, "Avg. Start" CLOB, "Avg. Finish" CLOB, "Winnings" CLOB, "Position" CLOB, "Team ( s ) " CLOB)
| Name the most wins where position is 16th | SELECT MAX("Wins") FROM table_1584 WHERE "Position" = '16th' | SELECT MAX("Wins") FROM "table_1584" WHERE "Position" = '16th' | 0.060547 |
CREATE TABLE table_63291 ("Week" FLOAT, "Date" CLOB, "Opponent" CLOB, "Result" CLOB, "Channel" CLOB, "Stadium" CLOB, "Attendance" CLOB)
| Which Channel has an Opponent of washington redskins? | SELECT "Channel" FROM table_63291 WHERE "Opponent" = 'washington redskins' | SELECT "Channel" FROM "table_63291" WHERE "Opponent" = 'washington redskins' | 0.074219 |
CREATE TABLE airports (city VARCHAR2)
| Find the cities which have exactly two airports. | SELECT city FROM airports GROUP BY city HAVING COUNT(*) = 2 | SELECT "city" FROM "airports" GROUP BY "city" HAVING COUNT(*) = 2 | 0.063477 |
CREATE TABLE table_2401326_1 (kerry_number NUMBER, others_number VARCHAR2)
| How many people voted for Kerry in the county where 8 voted for others? | SELECT MIN(kerry_number) FROM table_2401326_1 WHERE others_number = 8 | SELECT MIN("kerry_number") FROM "table_2401326_1" WHERE "others_number" = 8 | 0.073242 |
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE 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)
| number of patients with a private insurance policy who has stayed in the hospital for more than 20 days. | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.insurance = "Private" AND demographic.days_stay > "20" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "20" < "demographic"."days_stay" AND "Private" = "demographic"."insurance" | 0.145508 |
CREATE TABLE table_51723 ("Year" FLOAT, "Team" CLOB, "Chassis" CLOB, "Engine" CLOB, "Points" FLOAT)
| How many points for the cosworth v8 engine after 1985? | SELECT "Points" FROM table_51723 WHERE "Year" > '1985' AND "Engine" = 'cosworth v8' | SELECT "Points" FROM "table_51723" WHERE "Engine" = 'cosworth v8' AND "Year" > '1985' | 0.083008 |
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 record (ID NUMBER, Result CLOB, Swimmer_ID NUMBER, Event_ID NUMBER)
CREATE TABLE stadium (ID NUMBER, name CLOB, Capacity NUMBER, City CLOB, Country CLOB, Opening_year NUMBER)
| Bar chart x axis nationality y axis sum meter 100, order x axis in asc order please. | SELECT Nationality, SUM(meter_100) FROM swimmer GROUP BY Nationality ORDER BY Nationality | SELECT "Nationality", SUM("meter_100") FROM "swimmer" GROUP BY "Nationality" ORDER BY "Nationality" | 0.09668 |
CREATE TABLE airport (airport_code VARCHAR2, airport_name CLOB, airport_location CLOB, state_code VARCHAR2, country_name VARCHAR2, time_zone_code VARCHAR2, minimum_connect_time NUMBER)
CREATE TABLE airport_service (city_code VARCHAR2, airport_code VARCHAR2, miles_distant NUMBER, direction VARCHAR2, minutes_distant NUMBER)
CREATE TABLE compartment_class (compartment VARCHAR2, class_type VARCHAR2)
CREATE TABLE month (month_number NUMBER, month_name CLOB)
CREATE TABLE date_day (month_number NUMBER, day_number NUMBER, year NUMBER, day_name VARCHAR2)
CREATE TABLE ground_service (city_code CLOB, airport_code CLOB, transport_type CLOB, ground_fare NUMBER)
CREATE TABLE equipment_sequence (aircraft_code_sequence VARCHAR2, aircraft_code VARCHAR2)
CREATE TABLE flight_stop (flight_id NUMBER, stop_number NUMBER, stop_days CLOB, stop_airport CLOB, arrival_time NUMBER, arrival_airline CLOB, arrival_flight_number NUMBER, departure_time NUMBER, departure_airline CLOB, departure_flight_number NUMBER, stop_time NUMBER)
CREATE TABLE flight (aircraft_code_sequence CLOB, airline_code VARCHAR2, airline_flight CLOB, arrival_time NUMBER, connections NUMBER, departure_time NUMBER, dual_carrier CLOB, flight_days CLOB, flight_id NUMBER, flight_number NUMBER, from_airport VARCHAR2, meal_code CLOB, stops NUMBER, time_elapsed NUMBER, to_airport VARCHAR2)
CREATE TABLE dual_carrier (main_airline VARCHAR2, low_flight_number NUMBER, high_flight_number NUMBER, dual_airline VARCHAR2, service_name CLOB)
CREATE TABLE restriction (restriction_code CLOB, advance_purchase NUMBER, stopovers CLOB, saturday_stay_required CLOB, minimum_stay NUMBER, maximum_stay NUMBER, application CLOB, no_discounts CLOB)
CREATE TABLE code_description (code VARCHAR2, description CLOB)
CREATE TABLE time_interval (period CLOB, begin_time NUMBER, end_time NUMBER)
CREATE TABLE class_of_service (booking_class VARCHAR2, rank NUMBER, class_description CLOB)
CREATE TABLE fare (fare_id NUMBER, from_airport VARCHAR2, to_airport VARCHAR2, fare_basis_code CLOB, fare_airline CLOB, restriction_code CLOB, one_direction_cost NUMBER, round_trip_cost NUMBER, round_trip_required VARCHAR2)
CREATE TABLE flight_fare (flight_id NUMBER, fare_id NUMBER)
CREATE TABLE food_service (meal_code CLOB, meal_number NUMBER, compartment CLOB, meal_description VARCHAR2)
CREATE TABLE flight_leg (flight_id NUMBER, leg_number NUMBER, leg_flight NUMBER)
CREATE TABLE time_zone (time_zone_code CLOB, time_zone_name CLOB, hours_from_gmt NUMBER)
CREATE TABLE state (state_code CLOB, state_name CLOB, country_name CLOB)
CREATE TABLE city (city_code VARCHAR2, city_name VARCHAR2, state_code VARCHAR2, country_name VARCHAR2, time_zone_code VARCHAR2)
CREATE TABLE days (days_code VARCHAR2, day_name VARCHAR2)
CREATE TABLE fare_basis (fare_basis_code CLOB, booking_class CLOB, class_type CLOB, premium CLOB, economy CLOB, discounted CLOB, night CLOB, season CLOB, basis_days CLOB)
CREATE TABLE airline (airline_code VARCHAR2, airline_name CLOB, note CLOB)
CREATE TABLE aircraft (aircraft_code VARCHAR2, aircraft_description VARCHAR2, manufacturer VARCHAR2, basic_type VARCHAR2, engines NUMBER, propulsion VARCHAR2, wide_body VARCHAR2, wing_span NUMBER, length NUMBER, weight NUMBER, capacity NUMBER, pay_load NUMBER, cruising_speed NUMBER, range_miles NUMBER, pressurized VARCHAR2)
| i want a flight from ONTARIO to CHICAGO | SELECT DISTINCT flight.flight_id FROM airport_service AS AIRPORT_SERVICE_0, airport_service AS AIRPORT_SERVICE_1, city AS CITY_0, city AS CITY_1, flight WHERE CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'ONTARIO' AND CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'CHICAGO' AND flight.from_airport = AIRPORT_SERVICE_0.airport_code AND flight.to_airport = AIRPORT_SERVICE_1.airport_code | SELECT DISTINCT "flight"."flight_id" FROM "airport_service" "AIRPORT_SERVICE_0" JOIN "city" "CITY_0" ON "AIRPORT_SERVICE_0"."city_code" = "CITY_0"."city_code" AND "CITY_0"."city_name" = 'ONTARIO' JOIN "flight" ON "AIRPORT_SERVICE_0"."airport_code" = "flight"."from_airport" JOIN "airport_service" "AIRPORT_SERVICE_1" ON "AIRPORT_SERVICE_1"."airport_code" = "flight"."to_airport" JOIN "city" "CITY_1" ON "AIRPORT_SERVICE_1"."city_code" = "CITY_1"."city_code" AND "CITY_1"."city_name" = 'CHICAGO' | 0.482422 |
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 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)
| how many patients whose diagnoses short title is perforation of intestine and drug route is sl? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE diagnoses.short_title = "Perforation of intestine" AND prescriptions.route = "SL" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "Perforation of intestine" = "diagnoses"."short_title" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" JOIN "prescriptions" ON "SL" = "prescriptions"."route" AND "demographic"."hadm_id" = "prescriptions"."hadm_id" | 0.298828 |
CREATE TABLE table_204_295 (id NUMBER, "model" CLOB, "origin" CLOB, "type" CLOB, "version" CLOB, "in service" NUMBER, "notes" CLOB)
| how many utility vehicles used by the philippine marines have their origin in the united states ? | SELECT COUNT("model") FROM table_204_295 WHERE "origin" = 'united states' | SELECT COUNT("model") FROM "table_204_295" WHERE "origin" = 'united states' | 0.073242 |
CREATE TABLE jobs (JOB_ID VARCHAR2, JOB_TITLE VARCHAR2, MIN_SALARY NUMBER, MAX_SALARY NUMBER)
CREATE TABLE employees (EMPLOYEE_ID NUMBER, FIRST_NAME VARCHAR2, LAST_NAME VARCHAR2, EMAIL VARCHAR2, PHONE_NUMBER VARCHAR2, HIRE_DATE DATE, JOB_ID VARCHAR2, SALARY NUMBER, COMMISSION_PCT NUMBER, MANAGER_ID NUMBER, DEPARTMENT_ID NUMBER)
CREATE TABLE countries (COUNTRY_ID VARCHAR2, COUNTRY_NAME VARCHAR2, REGION_ID NUMBER)
CREATE TABLE job_history (EMPLOYEE_ID NUMBER, START_DATE DATE, END_DATE DATE, JOB_ID VARCHAR2, DEPARTMENT_ID NUMBER)
CREATE TABLE regions (REGION_ID NUMBER, REGION_NAME VARCHAR2)
CREATE TABLE departments (DEPARTMENT_ID NUMBER, DEPARTMENT_NAME VARCHAR2, MANAGER_ID NUMBER, LOCATION_ID NUMBER)
CREATE TABLE locations (LOCATION_ID NUMBER, STREET_ADDRESS VARCHAR2, POSTAL_CODE VARCHAR2, CITY VARCHAR2, STATE_PROVINCE VARCHAR2, COUNTRY_ID VARCHAR2)
| For employees with first names that end with the letter m, groups and count the first name to visualize a bar graph, and could you display in desc by the x-axis? | SELECT FIRST_NAME, COUNT(FIRST_NAME) FROM employees WHERE FIRST_NAME LIKE '%m' GROUP BY FIRST_NAME ORDER BY FIRST_NAME DESC | SELECT "FIRST_NAME", COUNT("FIRST_NAME") FROM "employees" WHERE "FIRST_NAME" LIKE '%m' GROUP BY "FIRST_NAME" ORDER BY "FIRST_NAME" DESC | 0.131836 |
CREATE TABLE table_19930660_1 (winner VARCHAR2, marcus_guest VARCHAR2)
| Name the winner for jason byrne | SELECT winner FROM table_19930660_1 WHERE marcus_guest = "Jason Byrne" | SELECT "winner" FROM "table_19930660_1" WHERE "Jason Byrne" = "marcus_guest" | 0.074219 |
CREATE TABLE table_16425 ("Location" CLOB, "Monday" CLOB, "Tuesday" CLOB, "Wednesday" CLOB, "Thursday" CLOB, "Friday" CLOB, "Saturday" CLOB, "Sunday" CLOB)
| what's the saturday time with wednesday being 10:00-5:00 | SELECT "Saturday" FROM table_16425 WHERE "Wednesday" = '10:00-5:00' | SELECT "Saturday" FROM "table_16425" WHERE "Wednesday" = '10:00-5:00' | 0.067383 |
CREATE TABLE lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime 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)
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 microlab (microlabid NUMBER, patientunitstayid NUMBER, culturesite CLOB, organism CLOB, culturetakentime TIME)
CREATE TABLE patient (uniquepid CLOB, patienthealthsystemstayid NUMBER, patientunitstayid NUMBER, gender CLOB, age CLOB, ethnicity CLOB, hospitalid NUMBER, wardid NUMBER, admissionheight NUMBER, admissionweight NUMBER, dischargeweight NUMBER, hospitaladmittime TIME, hospitaladmitsource CLOB, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus CLOB)
CREATE TABLE vitalperiodic (vitalperiodicid NUMBER, patientunitstayid NUMBER, temperature NUMBER, sao2 NUMBER, heartrate NUMBER, respiration NUMBER, systemicsystolic NUMBER, systemicdiastolic NUMBER, systemicmean NUMBER, observationtime TIME)
CREATE TABLE diagnosis (diagnosisid NUMBER, patientunitstayid NUMBER, diagnosisname CLOB, diagnosistime TIME, icd9code CLOB)
CREATE TABLE intakeoutput (intakeoutputid NUMBER, patientunitstayid NUMBER, cellpath CLOB, celllabel CLOB, cellvaluenumeric NUMBER, intakeoutputtime TIME)
| since 2105, what was the yearly maximum value of the bedside glucose of patient 012-25893? | SELECT MAX(lab.labresult) FROM lab WHERE lab.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '012-25893')) AND lab.labname = 'bedside glucose' AND STRFTIME('%y', lab.labresulttime) >= '2105' GROUP BY STRFTIME('%y', lab.labresulttime) | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '012-25893' GROUP BY "patienthealthsystemstayid"), "_u_1" AS (SELECT "patient"."patientunitstayid" FROM "patient" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "patient"."patienthealthsystemstayid" WHERE NOT "_u_0"."" IS NULL GROUP BY "patientunitstayid") SELECT MAX("lab"."labresult") FROM "lab" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "lab"."patientunitstayid" WHERE "lab"."labname" = 'bedside glucose' AND NOT "_u_1"."" IS NULL AND STRFTIME('%y', "lab"."labresulttime") >= '2105' GROUP BY STRFTIME('%y', "lab"."labresulttime") | 0.612305 |
CREATE TABLE medication (medicationid NUMBER, patientunitstayid NUMBER, drugname CLOB, dosage CLOB, routeadmin CLOB, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE patient (uniquepid CLOB, patienthealthsystemstayid NUMBER, patientunitstayid NUMBER, gender CLOB, age CLOB, ethnicity CLOB, hospitalid NUMBER, wardid NUMBER, admissionheight NUMBER, admissionweight NUMBER, dischargeweight NUMBER, hospitaladmittime TIME, hospitaladmitsource CLOB, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus CLOB)
CREATE TABLE 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 microlab (microlabid NUMBER, patientunitstayid NUMBER, culturesite CLOB, organism CLOB, culturetakentime TIME)
CREATE TABLE diagnosis (diagnosisid NUMBER, patientunitstayid NUMBER, diagnosisname CLOB, diagnosistime TIME, icd9code CLOB)
CREATE TABLE vitalperiodic (vitalperiodicid NUMBER, patientunitstayid NUMBER, temperature NUMBER, sao2 NUMBER, heartrate NUMBER, respiration NUMBER, systemicsystolic NUMBER, systemicdiastolic NUMBER, systemicmean NUMBER, observationtime TIME)
CREATE TABLE intakeoutput (intakeoutputid NUMBER, patientunitstayid NUMBER, cellpath CLOB, celllabel CLOB, cellvaluenumeric NUMBER, intakeoutputtime TIME)
CREATE TABLE treatment (treatmentid NUMBER, patientunitstayid NUMBER, treatmentname CLOB, treatmenttime TIME)
CREATE TABLE lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime TIME)
| until 42 months ago, list the daily average heartrate of patient 015-67291. | SELECT AVG(vitalperiodic.heartrate) FROM vitalperiodic WHERE vitalperiodic.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '015-67291')) AND NOT vitalperiodic.heartrate IS NULL AND DATETIME(vitalperiodic.observationtime) <= DATETIME(CURRENT_TIME(), '-42 month') GROUP BY STRFTIME('%y-%m-%d', vitalperiodic.observationtime) | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '015-67291' GROUP BY "patienthealthsystemstayid"), "_u_1" AS (SELECT "patient"."patientunitstayid" FROM "patient" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "patient"."patienthealthsystemstayid" WHERE NOT "_u_0"."" IS NULL GROUP BY "patientunitstayid") SELECT AVG("vitalperiodic"."heartrate") FROM "vitalperiodic" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "vitalperiodic"."patientunitstayid" WHERE DATETIME("vitalperiodic"."observationtime") <= DATETIME(CURRENT_TIME(), '-42 month') AND NOT "_u_1"."" IS NULL AND NOT "vitalperiodic"."heartrate" IS NULL GROUP BY STRFTIME('%y-%m-%d', "vitalperiodic"."observationtime") | 0.699219 |
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)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
| how many patients whose death status is 1 and primary disease is acute subdural hematoma? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.expire_flag = "1" AND demographic.diagnosis = "ACUTE SUBDURAL HEMATOMA" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "1" = "demographic"."expire_flag" AND "ACUTE SUBDURAL HEMATOMA" = "demographic"."diagnosis" | 0.162109 |
CREATE TABLE departments (DEPARTMENT_ID NUMBER, DEPARTMENT_NAME VARCHAR2, MANAGER_ID NUMBER, LOCATION_ID NUMBER)
CREATE TABLE job_history (EMPLOYEE_ID NUMBER, START_DATE DATE, END_DATE DATE, JOB_ID VARCHAR2, DEPARTMENT_ID NUMBER)
CREATE TABLE jobs (JOB_ID VARCHAR2, JOB_TITLE VARCHAR2, MIN_SALARY NUMBER, MAX_SALARY 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 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)
| Draw a bar chart for what are the department names and how many employees work in each of them? | SELECT DEPARTMENT_NAME, COUNT(*) FROM employees AS T1 JOIN departments AS T2 ON T1.DEPARTMENT_ID = T2.DEPARTMENT_ID GROUP BY DEPARTMENT_NAME | SELECT "DEPARTMENT_NAME", COUNT(*) FROM "employees" "T1" JOIN "departments" "T2" ON "T1"."DEPARTMENT_ID" = "T2"."DEPARTMENT_ID" GROUP BY "DEPARTMENT_NAME" | 0.150391 |
CREATE TABLE table_name_92 (pick__number VARCHAR2, nhl_team VARCHAR2)
| What is the pick# for the California Golden Seals? | SELECT pick__number FROM table_name_92 WHERE nhl_team = "california golden seals" | SELECT "pick__number" FROM "table_name_92" WHERE "california golden seals" = "nhl_team" | 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 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)
| how many patients are diagnosed with primary disease pituitary bleed and born before 2056? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.diagnosis = "PITUITARY BLEED" AND demographic.dob_year < "2056" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "2056" > "demographic"."dob_year" AND "PITUITARY BLEED" = "demographic"."diagnosis" | 0.154297 |
CREATE TABLE table_name_91 (actor VARCHAR2, character VARCHAR2, soap_opera VARCHAR2, duration VARCHAR2)
| What actor has goede tijden, slechte tijden, as the soap opera, 11 years as the duration, with rosa gonzalez as the character? | SELECT actor FROM table_name_91 WHERE soap_opera = "goede tijden, slechte tijden" AND duration = "11 years" AND character = "rosa gonzalez" | SELECT "actor" FROM "table_name_91" WHERE "11 years" = "duration" AND "character" = "rosa gonzalez" AND "goede tijden, slechte tijden" = "soap_opera" | 0.145508 |
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, return a bar chart about the distribution of name and the sum of manufacturer , and group by attribute name. | SELECT T2.Name, T1.Manufacturer FROM Products AS T1 JOIN Manufacturers AS T2 ON T1.Manufacturer = T2.Code GROUP BY T2.Name | SELECT "T2"."Name", "T1"."Manufacturer" FROM "Products" "T1" JOIN "Manufacturers" "T2" ON "T1"."Manufacturer" = "T2"."Code" GROUP BY "T2"."Name" | 0.140625 |
CREATE TABLE course_offering (offering_id NUMBER, course_id NUMBER, semester NUMBER, section_number NUMBER, start_time TIME, end_time TIME, monday VARCHAR2, tuesday VARCHAR2, wednesday VARCHAR2, thursday VARCHAR2, friday VARCHAR2, saturday VARCHAR2, sunday VARCHAR2, has_final_project VARCHAR2, has_final_exam VARCHAR2, textbook VARCHAR2, class_address VARCHAR2, allow_audit VARCHAR2)
CREATE TABLE course (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 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 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_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 gsi (course_offering_id NUMBER, student_id NUMBER)
CREATE TABLE program_requirement (program_id NUMBER, category VARCHAR2, min_credit NUMBER, additional_req VARCHAR2)
CREATE TABLE semester (semester_id NUMBER, semester VARCHAR2, year NUMBER)
CREATE TABLE instructor (instructor_id NUMBER, name VARCHAR2, uniqname VARCHAR2)
CREATE TABLE comment_instructor (instructor_id NUMBER, student_id NUMBER, score NUMBER, comment_text 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 (program_id NUMBER, name VARCHAR2, college VARCHAR2, introduction VARCHAR2)
CREATE TABLE requirement (requirement_id NUMBER, requirement VARCHAR2, college VARCHAR2)
CREATE TABLE area (course_id NUMBER, area VARCHAR2)
CREATE TABLE jobs (job_id NUMBER, job_title VARCHAR2, description VARCHAR2, requirement VARCHAR2, city VARCHAR2, state VARCHAR2, country VARCHAR2, zip NUMBER)
CREATE TABLE program_course (program_id NUMBER, course_id NUMBER, workload NUMBER, category VARCHAR2)
| What are the PreMajor classes ? | SELECT DISTINCT course.department, course.name, course.number FROM course, program, program_course WHERE program_course.category LIKE '%PreMajor%' AND program_course.course_id = course.course_id AND program.name LIKE '%CS-LSA%' AND program.program_id = program_course.program_id | SELECT DISTINCT "course"."department", "course"."name", "course"."number" FROM "course" JOIN "program_course" ON "course"."course_id" = "program_course"."course_id" AND "program_course"."category" LIKE '%PreMajor%' JOIN "program" ON "program"."name" LIKE '%CS-LSA%' AND "program"."program_id" = "program_course"."program_id" | 0.316406 |
CREATE TABLE table_13064 ("Place" CLOB, "Player" CLOB, "Country" CLOB, "Score" CLOB, "To par" FLOAT)
| What country has a 76-71=147 score? | SELECT "Country" FROM table_13064 WHERE "Score" = '76-71=147' | SELECT "Country" FROM "table_13064" WHERE "Score" = '76-71=147' | 0.061523 |
CREATE TABLE stadium (ID NUMBER, name CLOB, Capacity NUMBER, City CLOB, Country CLOB, Opening_year NUMBER)
CREATE TABLE event (ID NUMBER, Name CLOB, Stadium_ID NUMBER, Year CLOB)
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 record (ID NUMBER, Result CLOB, Swimmer_ID NUMBER, Event_ID NUMBER)
| Show me about the distribution of Time and ID in a bar chart, order y axis in asc order. | SELECT Time, ID FROM swimmer ORDER BY ID | SELECT "Time", "ID" FROM "swimmer" ORDER BY "ID" | 0.046875 |
CREATE TABLE table_204_790 (id NUMBER, "year" NUMBER, "nw rank" NUMBER, "venue" CLOB, "opp rank" NUMBER, "opponent" CLOB, "score" CLOB, "w/l" CLOB, "round" CLOB, "notes" CLOB)
| who scored the most points against nw missouri state in a quarterfinal ? | SELECT "opponent" FROM table_204_790 WHERE "round" = 'quarterfinal' ORDER BY "score" DESC LIMIT 1 | SELECT "opponent" FROM "table_204_790" WHERE "round" = 'quarterfinal' ORDER BY "score" DESC FETCH FIRST 1 ROWS ONLY | 0.112305 |
CREATE TABLE table_51861 ("Name" CLOB, "Country" CLOB, "Status" CLOB, "Moving to" CLOB, "Transfer window" CLOB, "Transfer fee" CLOB)
| Name the moving to for fra | SELECT "Moving to" FROM table_51861 WHERE "Country" = 'fra' | SELECT "Moving to" FROM "table_51861" WHERE "Country" = 'fra' | 0.05957 |
CREATE TABLE table_30320 ("Year Location" CLOB, "Mens Singles" CLOB, "Womens Singles" CLOB, "Mens Doubles" CLOB, "Womens Doubles" CLOB)
| How many times was the womens doubles in china? | SELECT COUNT("Mens Singles") FROM table_30320 WHERE "Womens Doubles" = 'China' | SELECT COUNT("Mens Singles") FROM "table_30320" WHERE "Womens Doubles" = 'China' | 0.078125 |
CREATE TABLE table_72512 ("Round" FLOAT, "Pick #" CLOB, "Player" CLOB, "Position" CLOB, "Nationality" CLOB, "College/junior/club team ( league ) " CLOB)
| What is the pick number for round 2? | SELECT "Pick #" FROM table_72512 WHERE "Round" = '2' | SELECT "Pick #" FROM "table_72512" WHERE "Round" = '2' | 0.052734 |
CREATE TABLE table_37268 ("Date" CLOB, "City" CLOB, "Opponent" CLOB, "Results\\u00b9" CLOB, "Type of game" CLOB)
| What type of game was held on December 22? | SELECT "Type of game" FROM table_37268 WHERE "Date" = 'december 22' | SELECT "Type of game" FROM "table_37268" WHERE "Date" = 'december 22' | 0.067383 |
CREATE TABLE course_offering (offering_id NUMBER, course_id NUMBER, semester NUMBER, section_number NUMBER, start_time TIME, end_time TIME, monday VARCHAR2, tuesday VARCHAR2, wednesday VARCHAR2, thursday VARCHAR2, friday VARCHAR2, saturday VARCHAR2, sunday VARCHAR2, has_final_project VARCHAR2, has_final_exam VARCHAR2, textbook VARCHAR2, class_address VARCHAR2, allow_audit VARCHAR2)
CREATE TABLE course (course_id NUMBER, name VARCHAR2, department VARCHAR2, number VARCHAR2, credits VARCHAR2, advisory_requirement VARCHAR2, enforced_requirement VARCHAR2, description VARCHAR2, num_semesters NUMBER, num_enrolled NUMBER, has_discussion VARCHAR2, has_lab VARCHAR2, has_projects VARCHAR2, has_exams VARCHAR2, num_reviews NUMBER, clarity_score NUMBER, easiness_score NUMBER, helpfulness_score NUMBER)
CREATE TABLE program_course (program_id NUMBER, course_id NUMBER, workload NUMBER, category VARCHAR2)
CREATE TABLE comment_instructor (instructor_id NUMBER, student_id NUMBER, score NUMBER, comment_text VARCHAR2)
CREATE TABLE course_tags_count (course_id NUMBER, clear_grading NUMBER, pop_quiz NUMBER, group_projects NUMBER, inspirational NUMBER, long_lectures NUMBER, extra_credit NUMBER, few_tests NUMBER, good_feedback NUMBER, tough_tests NUMBER, heavy_papers NUMBER, cares_for_students NUMBER, heavy_assignments NUMBER, respected NUMBER, participation NUMBER, heavy_reading NUMBER, tough_grader NUMBER, hilarious NUMBER, would_take_again NUMBER, good_lecture NUMBER, no_skip NUMBER)
CREATE TABLE program (program_id NUMBER, name VARCHAR2, college VARCHAR2, introduction VARCHAR2)
CREATE TABLE requirement (requirement_id NUMBER, requirement VARCHAR2, college VARCHAR2)
CREATE TABLE gsi (course_offering_id NUMBER, student_id NUMBER)
CREATE TABLE program_requirement (program_id NUMBER, category VARCHAR2, min_credit NUMBER, additional_req VARCHAR2)
CREATE TABLE course_prerequisite (pre_course_id NUMBER, course_id NUMBER)
CREATE TABLE jobs (job_id NUMBER, job_title VARCHAR2, description VARCHAR2, requirement VARCHAR2, city VARCHAR2, state VARCHAR2, country VARCHAR2, zip NUMBER)
CREATE TABLE 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 student_record (student_id NUMBER, course_id NUMBER, semester NUMBER, grade VARCHAR2, how VARCHAR2, transfer_source VARCHAR2, earn_credit VARCHAR2, repeat_term VARCHAR2, test_id VARCHAR2)
CREATE TABLE student (student_id NUMBER, lastname VARCHAR2, firstname VARCHAR2, program_id NUMBER, declare_major VARCHAR2, total_credit NUMBER, total_gpa FLOAT, entered_as VARCHAR2, admit_term NUMBER, predicted_graduation_semester NUMBER, degree VARCHAR2, minor VARCHAR2, internship VARCHAR2)
CREATE TABLE semester (semester_id NUMBER, semester VARCHAR2, year NUMBER)
CREATE TABLE area (course_id NUMBER, area VARCHAR2)
CREATE TABLE instructor (instructor_id NUMBER, name VARCHAR2, uniqname VARCHAR2)
| What is the easiest class to take to fulfill the Core requirement ? | SELECT DISTINCT course.department, course.name, course.number, program_course.workload, program_course.workload FROM course, program_course WHERE program_course.category LIKE '%Core%' 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 '%Core%') | WITH "_u_0" AS (SELECT MIN("PROGRAM_COURSEalias1"."workload") FROM "program_course" "PROGRAM_COURSEalias1" WHERE "PROGRAM_COURSEalias1"."category" LIKE '%Core%') 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 '%Core%' JOIN "_u_0" "_u_0" ON "_u_0"."" = "program_course"."workload" | 0.480469 |
CREATE TABLE table_69541 ("Date" CLOB, "Opponent" CLOB, "Score" CLOB, "Loss" CLOB, "Record" CLOB)
| Who was the opponent with a Loss of Leal (1 4)? | SELECT "Opponent" FROM table_69541 WHERE "Loss" = 'leal (1–4)' | SELECT "Opponent" FROM "table_69541" WHERE "Loss" = 'leal (1–4)' | 0.0625 |
CREATE TABLE table_62517 ("7:30 am" CLOB, "8:00 am" CLOB, "9:00 am" CLOB, "11:00 am" CLOB, "noon" CLOB, "12:30 pm" CLOB, "1:00 pm" CLOB, "1:30 pm" CLOB, "2:00 pm" CLOB, "3:00 pm" CLOB, "3:30 pm" CLOB, "4:00 pm" CLOB, "5:00 pm" CLOB, "6:30 pm" CLOB)
| What is on at 3:00pm if Port Charles is on at 12:30? | SELECT "3:00 pm" FROM table_62517 WHERE "12:30 pm" = 'port charles' | SELECT "3:00 pm" FROM "table_62517" WHERE "12:30 pm" = 'port charles' | 0.067383 |
CREATE TABLE table_name_55 (rate VARCHAR2, year VARCHAR2)
| What is the rate of 17 years? | SELECT rate FROM table_name_55 WHERE year = "17 years" | SELECT "rate" FROM "table_name_55" WHERE "17 years" = "year" | 0.058594 |
CREATE TABLE customer_addresses (customer_id NUMBER, address_id NUMBER, date_address_from TIME, address_type CLOB, date_address_to TIME)
CREATE TABLE order_items (order_id NUMBER, product_id NUMBER, order_quantity CLOB)
CREATE TABLE customer_contact_channels (customer_id NUMBER, channel_code CLOB, active_from_date TIME, active_to_date TIME, contact_number CLOB)
CREATE TABLE products (product_id NUMBER, product_details CLOB)
CREATE TABLE customer_orders (order_id NUMBER, customer_id NUMBER, order_status CLOB, order_date TIME, order_details CLOB)
CREATE TABLE customers (customer_id NUMBER, payment_method CLOB, customer_name CLOB, date_became_customer TIME, other_customer_details CLOB)
CREATE TABLE addresses (address_id NUMBER, address_content CLOB, city CLOB, zip_postcode CLOB, state_province_county CLOB, country CLOB, other_address_details CLOB)
| What is the total number of products that are in orders with status 'Cancelled'? | SELECT SUM(t2.order_quantity) FROM customer_orders AS t1 JOIN order_items AS t2 ON t1.order_id = t2.order_id WHERE t1.order_status = "Cancelled" | SELECT SUM("t2"."order_quantity") FROM "customer_orders" "t1" JOIN "order_items" "t2" ON "t1"."order_id" = "t2"."order_id" WHERE "Cancelled" = "t1"."order_status" | 0.158203 |
CREATE TABLE table_name_7 (tournament VARCHAR2, date VARCHAR2)
| What tournament was on May 31, 1987? | SELECT tournament FROM table_name_7 WHERE date = "may 31, 1987" | SELECT "tournament" FROM "table_name_7" WHERE "date" = "may 31, 1987" | 0.067383 |
CREATE TABLE campuses (campus VARCHAR2, county VARCHAR2, YEAR VARCHAR2)
| Which university is in Los Angeles county and opened after 1950? | SELECT campus FROM campuses WHERE county = "Los Angeles" AND YEAR > 1950 | SELECT "campus" FROM "campuses" WHERE "Los Angeles" = "county" AND "YEAR" > 1950 | 0.078125 |
CREATE TABLE table_name_38 (overall NUMBER, round VARCHAR2, pick__number VARCHAR2)
| With Round 3 and Pick # over 10, what is the higher Overall number? | SELECT MAX(overall) FROM table_name_38 WHERE round = 3 AND pick__number > 10 | SELECT MAX("overall") FROM "table_name_38" WHERE "pick__number" > 10 AND "round" = 3 | 0.082031 |
CREATE TABLE table_28370 ("Name" CLOB, "GP" FLOAT, "Solo" FLOAT, "Ast" FLOAT, "Total" FLOAT, "TFL-Yds" CLOB, "No-Yds" CLOB, "BrUp" FLOAT, "No.-Yds" CLOB, "Avg" CLOB, "TD" FLOAT, "Long" FLOAT, "Rcv-Yds" CLOB, "FF" FLOAT, "Blkd Kick" FLOAT)
| What is the lowest gp? | SELECT MIN("GP") FROM table_28370 | SELECT MIN("GP") FROM "table_28370" | 0.03418 |
CREATE TABLE table_name_39 (zip_code_prefix_es_ VARCHAR2, county_seat VARCHAR2)
| what is the zip code of boonville | SELECT zip_code_prefix_es_ FROM table_name_39 WHERE county_seat = "boonville" | SELECT "zip_code_prefix_es_" FROM "table_name_39" WHERE "boonville" = "county_seat" | 0.081055 |
CREATE TABLE table_name_82 (score VARCHAR2, opponent VARCHAR2)
| Name the score with opponent of milos raonic | SELECT score FROM table_name_82 WHERE opponent = "milos raonic" | SELECT "score" FROM "table_name_82" WHERE "milos raonic" = "opponent" | 0.067383 |
CREATE TABLE table_8990 ("Side" CLOB, "Group" CLOB, "Inscription" CLOB, "Official history" CLOB, "Identification" CLOB)
| Which side has Ludovico Carracci listed as the identification? | SELECT "Side" FROM table_8990 WHERE "Identification" = 'ludovico carracci' | SELECT "Side" FROM "table_8990" WHERE "Identification" = 'ludovico carracci' | 0.074219 |
CREATE TABLE table_79729 ("Model" CLOB, "engine code ( s ) " CLOB, "engine type" CLOB, "max power@rpm" CLOB, "max torque@rpm" CLOB, "years" CLOB)
| What was the max torque@rpm of the engine which had the model 2.5 and a max power@rpm of ps (kw; hp) @5000? | SELECT "max torque@rpm" FROM table_79729 WHERE "Model" = '2.5' AND "max power@rpm" = 'ps (kw; hp) @5000' | SELECT "max torque@rpm" FROM "table_79729" WHERE "Model" = '2.5' AND "max power@rpm" = 'ps (kw; hp) @5000' | 0.103516 |
CREATE TABLE table_72941 ("No. in series" FLOAT, "No. in season" FLOAT, "Title" CLOB, "Directed by" CLOB, "Written by" CLOB, "Original U.S. air date" CLOB, "Prod. code" FLOAT, "Viewers ( millions ) " CLOB)
| Who was the directed for the episode titled 'twister: part 1'? | SELECT "Directed by" FROM table_72941 WHERE "Title" = 'Twister: Part 1' | SELECT "Directed by" FROM "table_72941" WHERE "Title" = 'Twister: Part 1' | 0.071289 |
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 CloseReasonTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE FlagTypes (Id NUMBER, Name CLOB, Description 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 PostHistoryTypes (Id NUMBER, Name CLOB)
CREATE TABLE SuggestedEdits (Id NUMBER, PostId NUMBER, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId NUMBER, Comment CLOB, Text CLOB, Title CLOB, Tags CLOB, RevisionGUID other)
CREATE TABLE PendingFlags (Id NUMBER, FlagTypeId NUMBER, PostId NUMBER, CreationDate TIME, CloseReasonTypeId NUMBER, CloseAsOffTopicReasonTypeId NUMBER, DuplicateOfQuestionId NUMBER, BelongsOnBaseHostAddress 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 PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
CREATE TABLE PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId NUMBER)
CREATE TABLE ReviewTaskResultTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
CREATE TABLE SuggestedEditVotes (Id NUMBER, SuggestedEditId NUMBER, UserId NUMBER, VoteTypeId NUMBER, CreationDate TIME, TargetUserId NUMBER, TargetRepChange NUMBER)
CREATE TABLE ReviewTaskStates (Id NUMBER, Name CLOB, Description CLOB)
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 ReviewTaskTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostsWithDeleted (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE 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 PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
CREATE TABLE PostTypes (Id NUMBER, Name CLOB)
CREATE TABLE PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId NUMBER)
CREATE TABLE VoteTypes (Id NUMBER, Name CLOB)
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 ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
CREATE TABLE PostTags (PostId NUMBER, TagId NUMBER)
| Top 500 users from Morocco. | SELECT ROW_NUMBER() OVER (ORDER BY Reputation DESC) AS "#", Id AS "user_link", Reputation FROM Users WHERE LOWER(Location) LIKE '%morocco%' ORDER BY Reputation DESC LIMIT 500 | SELECT ROW_NUMBER() OVER (ORDER BY "Reputation" DESC) AS "#", "Id" AS "user_link", "Reputation" FROM "Users" WHERE LOWER("Location") LIKE '%morocco%' ORDER BY "Reputation" DESC FETCH FIRST 500 ROWS ONLY | 0.197266 |
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, give me the comparison about the amount of headquarter over the headquarter , and group by attribute headquarter, and could you order in descending by the Y please? | SELECT Headquarter, COUNT(Headquarter) FROM Products AS T1 JOIN Manufacturers AS T2 ON T1.Manufacturer = T2.Code GROUP BY Headquarter ORDER BY COUNT(Headquarter) DESC | SELECT "Headquarter", COUNT("Headquarter") FROM "Products" "T1" JOIN "Manufacturers" "T2" ON "T1"."Manufacturer" = "T2"."Code" GROUP BY "Headquarter" ORDER BY COUNT("Headquarter") DESC | 0.179688 |
CREATE TABLE table_6380 ("Date" CLOB, "Tournament" CLOB, "Surface" CLOB, "Opponent" CLOB, "Score" CLOB)
| Which tournament had a score of 6 3, 7 6? | SELECT "Tournament" FROM table_6380 WHERE "Score" = '6–3, 7–6' | SELECT "Tournament" FROM "table_6380" WHERE "Score" = '6–3, 7–6' | 0.0625 |
CREATE TABLE table_name_82 (driver VARCHAR2, sponsor VARCHAR2)
| Who drives for the sponsor w.h. bolin? | SELECT driver FROM table_name_82 WHERE sponsor = "w.h. bolin" | SELECT "driver" FROM "table_name_82" WHERE "sponsor" = "w.h. bolin" | 0.06543 |
CREATE TABLE table_2562572_27 (largest_ethnic_group__2002_ VARCHAR2, cyrillic_name_other_names VARCHAR2)
| What are the largest ethnic groups where the cyrillic name and other names is (hungarian: pacs r)? | SELECT largest_ethnic_group__2002_ FROM table_2562572_27 WHERE cyrillic_name_other_names = "Пачир (Hungarian: Pacsér)" | SELECT "largest_ethnic_group__2002_" FROM "table_2562572_27" WHERE "cyrillic_name_other_names" = "Пачир (Hungarian: Pacsér)" | 0.121094 |
CREATE TABLE table_35403 ("Games" FLOAT, "Drawn" FLOAT, "Lost" FLOAT, "Points difference" CLOB, "Points" FLOAT)
| How many Drawn is which has a Games smaller than 6? | SELECT SUM("Drawn") FROM table_35403 WHERE "Games" < '6' | SELECT SUM("Drawn") FROM "table_35403" WHERE "Games" < '6' | 0.056641 |
CREATE TABLE table_24937 ("No. in series" FLOAT, "No. in season" FLOAT, "Title" CLOB, "Directed by" CLOB, "Written by" CLOB, "Original air date" CLOB, "Production code" CLOB, "U.S. viewers ( million ) " CLOB)
| How many directors are there for the episode that had 1.59 million U.S. viewers? | SELECT COUNT("Directed by") FROM table_24937 WHERE "U.S. viewers (million)" = '1.59' | SELECT COUNT("Directed by") FROM "table_24937" WHERE "U.S. viewers (million)" = '1.59' | 0.083984 |
CREATE TABLE table_name_31 (score VARCHAR2, record VARCHAR2)
| What was the Score of the game with a Record of 0-1? | SELECT score FROM table_name_31 WHERE record = "0-1" | SELECT "score" FROM "table_name_31" WHERE "0-1" = "record" | 0.056641 |
CREATE TABLE table_name_48 (race VARCHAR2, course VARCHAR2, jockey VARCHAR2, margin VARCHAR2)
| what is the race when the jockey is frankie dettori, the margin is more than 3 and the course is yarmouth? | SELECT race FROM table_name_48 WHERE jockey = "frankie dettori" AND margin > 3 AND course = "yarmouth" | SELECT "race" FROM "table_name_48" WHERE "course" = "yarmouth" AND "frankie dettori" = "jockey" AND "margin" > 3 | 0.109375 |
CREATE TABLE table_name_88 (winning_constructor VARCHAR2, winning_driver VARCHAR2)
| What was the constructor when riccardo patrese was the winning driver? | SELECT winning_constructor FROM table_name_88 WHERE winning_driver = "riccardo patrese" | SELECT "winning_constructor" FROM "table_name_88" WHERE "riccardo patrese" = "winning_driver" | 0.09082 |
CREATE TABLE table_22904780_1 (original_air_date VARCHAR2, written_by VARCHAR2)
| List the 1st air date for the show where the writers are russel friend & garrett lerner. | SELECT original_air_date FROM table_22904780_1 WHERE written_by = "Russel Friend & Garrett Lerner" | SELECT "original_air_date" FROM "table_22904780_1" WHERE "Russel Friend & Garrett Lerner" = "written_by" | 0.101563 |
CREATE TABLE table_50179 ("Radical ( variants ) " CLOB, "Stroke count" FLOAT, "P\\u012bny\\u012bn" CLOB, "Hiragana - Romaji" CLOB, "Meaning" CLOB, "Frequency" FLOAT, "Examples" CLOB)
| WHAT IS THE STROKE COUNT WITH RADICAL FREQUENCY SMALLER THAN 129? | SELECT AVG("Stroke count") FROM table_50179 WHERE "Radical (variants)" = '皿' AND "Frequency" < '129' | SELECT AVG("Stroke count") FROM "table_50179" WHERE "Frequency" < '129' AND "Radical (variants)" = '皿' | 0.099609 |
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE 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)
| Count the number of patients less than 68 years old who had urine lab test done. | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.age < "68" AND lab.fluid = "Urine" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "lab" ON "Urine" = "lab"."fluid" AND "demographic"."hadm_id" = "lab"."hadm_id" WHERE "68" > "demographic"."age" | 0.180664 |
CREATE TABLE locations (LOCATION_ID NUMBER, STREET_ADDRESS VARCHAR2, POSTAL_CODE VARCHAR2, CITY VARCHAR2, STATE_PROVINCE VARCHAR2, COUNTRY_ID VARCHAR2)
CREATE TABLE regions (REGION_ID NUMBER, REGION_NAME VARCHAR2)
CREATE TABLE countries (COUNTRY_ID VARCHAR2, COUNTRY_NAME VARCHAR2, REGION_ID NUMBER)
CREATE TABLE jobs (JOB_ID VARCHAR2, JOB_TITLE VARCHAR2, MIN_SALARY NUMBER, MAX_SALARY NUMBER)
CREATE TABLE departments (DEPARTMENT_ID NUMBER, DEPARTMENT_NAME VARCHAR2, MANAGER_ID NUMBER, LOCATION_ID NUMBER)
CREATE TABLE job_history (EMPLOYEE_ID NUMBER, START_DATE DATE, END_DATE DATE, JOB_ID VARCHAR2, DEPARTMENT_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)
| Give me a histogram for what are all the employee ids and the names of the countries in which they work?, order by the y axis from high to low. | SELECT COUNTRY_NAME, SUM(EMPLOYEE_ID) FROM employees AS T1 JOIN departments AS T2 ON T1.DEPARTMENT_ID = T2.DEPARTMENT_ID JOIN locations AS T3 ON T2.LOCATION_ID = T3.LOCATION_ID JOIN countries AS T4 ON T3.COUNTRY_ID = T4.COUNTRY_ID GROUP BY COUNTRY_NAME ORDER BY SUM(EMPLOYEE_ID) DESC | SELECT "COUNTRY_NAME", SUM("EMPLOYEE_ID") FROM "employees" "T1" JOIN "departments" "T2" ON "T1"."DEPARTMENT_ID" = "T2"."DEPARTMENT_ID" JOIN "locations" "T3" ON "T2"."LOCATION_ID" = "T3"."LOCATION_ID" JOIN "countries" "T4" ON "T3"."COUNTRY_ID" = "T4"."COUNTRY_ID" GROUP BY "COUNTRY_NAME" ORDER BY SUM("EMPLOYEE_ID") DESC | 0.311523 |
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