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CREATE TABLE table_1942366_9 (high VARCHAR2, low VARCHAR2)
| What's the C_{high} when the C_{low} value is 250.5? | SELECT STRUCT(high) FROM table_1942366_9 WHERE STRUCT(low) = "250.5" | SELECT STRUCT("high") FROM "table_1942366_9" WHERE "250.5" = STRUCT("low") | 0.072266 |
CREATE TABLE table_11020 ("Year" FLOAT, "Award" CLOB, "Category" CLOB, "Work" CLOB, "Result" CLOB)
| What type of award is the theatre world award? | SELECT "Award" FROM table_11020 WHERE "Category" = 'theatre world award' | SELECT "Award" FROM "table_11020" WHERE "Category" = 'theatre world award' | 0.072266 |
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)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
| how many female patients are diagnosed with icd9 code 2948? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.gender = "F" AND diagnoses.icd9_code = "2948" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "2948" = "diagnoses"."icd9_code" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" WHERE "F" = "demographic"."gender" | 0.203125 |
CREATE TABLE table_63899 ("Frequency" CLOB, "Call sign" CLOB, "Branding" CLOB, "Format" CLOB, "Owner" CLOB)
| What's the call sign for Jack FM? | SELECT "Call sign" FROM table_63899 WHERE "Branding" = 'jack fm' | SELECT "Call sign" FROM "table_63899" WHERE "Branding" = 'jack fm' | 0.064453 |
CREATE TABLE table_67929 ("Wins" FLOAT, "Draws" FLOAT, "Losses" FLOAT, "Goal difference" CLOB, "Total" FLOAT)
| What is the lowest number of draws that have a goal difference of 0:2 and wins greater than 0? | SELECT MIN("Draws") FROM table_67929 WHERE "Goal difference" = '0:2' AND "Wins" > '0' | SELECT MIN("Draws") FROM "table_67929" WHERE "Goal difference" = '0:2' AND "Wins" > '0' | 0.084961 |
CREATE TABLE table_19624708_1 (handicap__st_lb_ VARCHAR2, horse VARCHAR2)
| Which handicap has the horse knowhere? | SELECT handicap__st_lb_ FROM table_19624708_1 WHERE horse = "Knowhere" | SELECT "handicap__st_lb_" FROM "table_19624708_1" WHERE "Knowhere" = "horse" | 0.074219 |
CREATE TABLE table_10713 ("Result" CLOB, "Record" CLOB, "Opponent" CLOB, "Method" CLOB, "Round" FLOAT, "Time" CLOB, "Location" CLOB)
| How long was his fight against kim kyoung-suk? | SELECT "Time" FROM table_10713 WHERE "Opponent" = 'kim kyoung-suk' | SELECT "Time" FROM "table_10713" WHERE "Opponent" = 'kim kyoung-suk' | 0.066406 |
CREATE TABLE table_1353096_2 (station VARCHAR2, city_of_license_market VARCHAR2)
| Which station has a license in Fort Collins, Colorado? | SELECT station FROM table_1353096_2 WHERE city_of_license_market = "Fort Collins, Colorado" | SELECT "station" FROM "table_1353096_2" WHERE "Fort Collins, Colorado" = "city_of_license_market" | 0.094727 |
CREATE TABLE table_name_61 (record VARCHAR2, points VARCHAR2, opponent VARCHAR2)
| What is the record when they play the canucks and have under 98 points? | SELECT record FROM table_name_61 WHERE points < 98 AND opponent = "canucks" | SELECT "record" FROM "table_name_61" WHERE "canucks" = "opponent" AND "points" < 98 | 0.081055 |
CREATE TABLE table_69459 ("Rider" CLOB, "Year" FLOAT, "Final Position - Giro" FLOAT, "Final Position - Tour" FLOAT, "Final Position - Vuelta" FLOAT)
| What is the earliest year of Valdimir Poelnikov, who has a final position-tour bigger than 72, a final position-vuelta less than 77, and a final position-giro less than 57? | SELECT MIN("Year") FROM table_69459 WHERE "Final Position - Tour" > '72' AND "Final Position - Vuelta" < '77' AND "Final Position - Giro" < '57' AND "Rider" = 'valdimir poelnikov' | SELECT MIN("Year") FROM "table_69459" WHERE "Final Position - Giro" < '57' AND "Final Position - Tour" > '72' AND "Final Position - Vuelta" < '77' AND "Rider" = 'valdimir poelnikov' | 0.176758 |
CREATE TABLE Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount NUMBER)
CREATE TABLE Comments (Id NUMBER, PostId NUMBER, Score NUMBER, Text CLOB, CreationDate TIME, UserDisplayName CLOB, UserId NUMBER, ContentLicense CLOB)
CREATE TABLE PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
CREATE TABLE PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId NUMBER)
CREATE TABLE SuggestedEdits (Id NUMBER, PostId NUMBER, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId NUMBER, Comment CLOB, Text CLOB, Title CLOB, Tags CLOB, RevisionGUID other)
CREATE TABLE FlagTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId NUMBER)
CREATE TABLE CloseReasonTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PendingFlags (Id NUMBER, FlagTypeId NUMBER, PostId NUMBER, CreationDate TIME, CloseReasonTypeId NUMBER, CloseAsOffTopicReasonTypeId NUMBER, DuplicateOfQuestionId NUMBER, BelongsOnBaseHostAddress CLOB)
CREATE TABLE PostsWithDeleted (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE CloseAsOffTopicReasonTypes (Id NUMBER, IsUniversal BOOLEAN, InputTitle CLOB, MarkdownInputGuidance CLOB, MarkdownPostOwnerGuidance CLOB, MarkdownPrivilegedUserGuidance CLOB, MarkdownConcensusDescription CLOB, CreationDate TIME, CreationModeratorId NUMBER, ApprovalDate TIME, ApprovalModeratorId NUMBER, DeactivationDate TIME, DeactivationModeratorId NUMBER)
CREATE TABLE ReviewTaskTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
CREATE TABLE PostTypes (Id NUMBER, Name 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 ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment 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 Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
CREATE TABLE SuggestedEditVotes (Id NUMBER, SuggestedEditId NUMBER, UserId NUMBER, VoteTypeId NUMBER, CreationDate TIME, TargetUserId NUMBER, TargetRepChange NUMBER)
CREATE TABLE PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
CREATE TABLE Posts (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE PostTags (PostId NUMBER, TagId NUMBER)
CREATE TABLE VoteTypes (Id NUMBER, Name CLOB)
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 PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId NUMBER)
CREATE TABLE PostHistoryTypes (Id NUMBER, Name CLOB)
CREATE TABLE ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
| SO - Total Posts by Database Server Per Month - SQL Server. | SELECT CONCAT(YEAR(P.CreationDate), '-', MONTH(P.CreationDate)) AS YearMonth, 'SQLServer' AS TagName, COUNT(*) AS PostCount FROM Posts AS P INNER JOIN PostTags AS PT ON (P.Id = PT.PostId) INNER JOIN Tags AS T ON (PT.TagId = T.Id) WHERE T.TagName LIKE 'sql-server%' GROUP BY YEAR(P.CreationDate), MONTH(P.CreationDate) ORDER BY YEAR(P.CreationDate) DESC, MONTH(P.CreationDate) DESC | SELECT CONCAT(YEAR("P"."CreationDate"), '-', MONTH("P"."CreationDate")) AS "YearMonth", 'SQLServer' AS "TagName", COUNT(*) AS "PostCount" FROM "Posts" "P" JOIN "PostTags" "PT" ON "P"."Id" = "PT"."PostId" JOIN "Tags" "T" ON "PT"."TagId" = "T"."Id" AND "T"."TagName" LIKE 'sql-server%' GROUP BY YEAR("P"."CreationDate"), MONTH("P"."CreationDate") ORDER BY YEAR("P"."CreationDate") DESC, MONTH("P"."CreationDate") DESC | 0.405273 |
CREATE TABLE table_20278716_2 (county VARCHAR2, others__number VARCHAR2)
| What county had 915 third party voters? | SELECT county FROM table_20278716_2 WHERE others__number = 915 | SELECT "county" FROM "table_20278716_2" WHERE "others__number" = 915 | 0.066406 |
CREATE TABLE table_name_84 (date VARCHAR2, game VARCHAR2)
| What date has 1 for the game? | SELECT date FROM table_name_84 WHERE game = 1 | SELECT "date" FROM "table_name_84" WHERE "game" = 1 | 0.049805 |
CREATE TABLE table_12752 ("Season" FLOAT, "Winners" CLOB, "Total wins" FLOAT, "Runners-up" CLOB, "Third-place" CLOB, "Number of clubs" FLOAT)
| What is the sum of the number of clubs in seasons before 1992 with more than 3 total wins? | SELECT SUM("Number of clubs") FROM table_12752 WHERE "Season" < '1992' AND "Total wins" > '3' | SELECT SUM("Number of clubs") FROM "table_12752" WHERE "Season" < '1992' AND "Total wins" > '3' | 0.092773 |
CREATE TABLE table_203_509 (id NUMBER, "year" NUMBER, "laetare medalist" CLOB, "position" CLOB)
| how many lawyers have won the award between 1883 and 2014 ? | SELECT COUNT(*) FROM table_203_509 WHERE "position" = 'lawyer' AND "year" >= 1883 AND "year" <= 2014 | SELECT COUNT(*) FROM "table_203_509" WHERE "position" = 'lawyer' AND "year" <= 2014 AND "year" >= 1883 | 0.099609 |
CREATE TABLE table_name_99 (stuffit VARCHAR2, bzip2 VARCHAR2, lha_lzh VARCHAR2)
| What is the stuffit that has bzip and LHA/LZH of no? | SELECT stuffit FROM table_name_99 WHERE bzip2 = "no" AND lha_lzh = "no" | SELECT "stuffit" FROM "table_name_99" WHERE "bzip2" = "no" AND "lha_lzh" = "no" | 0.077148 |
CREATE TABLE table_1473672_4 (college_junior_club_team VARCHAR2, pick__number VARCHAR2)
| Name the college/junior club team for pick number 63 | SELECT college_junior_club_team FROM table_1473672_4 WHERE pick__number = 63 | SELECT "college_junior_club_team" FROM "table_1473672_4" WHERE "pick__number" = 63 | 0.080078 |
CREATE TABLE table_name_77 (year NUMBER, co_drivers VARCHAR2)
| What is the earliest year that had a co-driver of Roger Enever? | SELECT MIN(year) FROM table_name_77 WHERE co_drivers = "roger enever" | SELECT MIN("year") FROM "table_name_77" WHERE "co_drivers" = "roger enever" | 0.073242 |
CREATE TABLE table_name_43 (graphics VARCHAR2, vram VARCHAR2)
| Which graphics spec has a VRAM spec of 512MB? | SELECT graphics FROM table_name_43 WHERE vram = "512mb" | SELECT "graphics" FROM "table_name_43" WHERE "512mb" = "vram" | 0.05957 |
CREATE TABLE table_name_51 (gold NUMBER, total VARCHAR2, silver VARCHAR2, rank VARCHAR2)
| What is the sum of gold medals won by teams that won fewer than 3 silver medals, more than 1 total medal, and rank 10? | SELECT SUM(gold) FROM table_name_51 WHERE silver < 3 AND rank = "10" AND total > 1 | SELECT SUM("gold") FROM "table_name_51" WHERE "10" = "rank" AND "silver" < 3 AND "total" > 1 | 0.089844 |
CREATE TABLE Apartment_Buildings (building_id NUMBER, building_short_name CHAR, building_full_name VARCHAR2, building_description VARCHAR2, building_address VARCHAR2, building_manager VARCHAR2, building_phone VARCHAR2)
CREATE TABLE View_Unit_Status (apt_id NUMBER, apt_booking_id NUMBER, status_date DATETIME, available_yn BIT)
CREATE TABLE Apartments (apt_id NUMBER, building_id NUMBER, apt_type_code CHAR, apt_number CHAR, bathroom_count NUMBER, bedroom_count NUMBER, room_count CHAR)
CREATE TABLE Apartment_Bookings (apt_booking_id NUMBER, apt_id NUMBER, guest_id NUMBER, booking_status_code CHAR, booking_start_date DATETIME, booking_end_date DATETIME)
CREATE TABLE Guests (guest_id NUMBER, gender_code CHAR, guest_first_name VARCHAR2, guest_last_name VARCHAR2, date_of_birth DATETIME)
CREATE TABLE Apartment_Facilities (apt_id NUMBER, facility_code CHAR)
| Show the number of apartment bookings for each year and bin booking start date by year interval in a bar chart, list from low to high by the y axis. | SELECT booking_start_date, COUNT(booking_start_date) FROM Apartment_Bookings AS T1 JOIN Guests AS T2 ON T1.guest_id = T2.guest_id ORDER BY COUNT(booking_start_date) | SELECT "booking_start_date", COUNT("booking_start_date") FROM "Apartment_Bookings" "T1" JOIN "Guests" "T2" ON "T1"."guest_id" = "T2"."guest_id" ORDER BY COUNT("booking_start_date") | 0.175781 |
CREATE TABLE table_19426 ("State/UT Code" FLOAT, "India/State/UT" CLOB, "Literate Persons ( % ) " CLOB, "Males ( % ) " CLOB, "Females ( % ) " CLOB)
| What is the percentage of all the literate people where females are 73.17? | SELECT "Literate Persons (%)" FROM table_19426 WHERE "Females (%)" = '73.17' | SELECT "Literate Persons (%)" FROM "table_19426" WHERE "Females (%)" = '73.17' | 0.076172 |
CREATE TABLE table_name_12 (crew_chief VARCHAR2, owner_s_ VARCHAR2, driver_s_ VARCHAR2)
| What crew chief has an owner name Jack Roush and driver Greg Biffle? | SELECT crew_chief FROM table_name_12 WHERE owner_s_ = "jack roush" AND driver_s_ = "greg biffle" | SELECT "crew_chief" FROM "table_name_12" WHERE "driver_s_" = "greg biffle" AND "jack roush" = "owner_s_" | 0.101563 |
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 requirement (requirement_id NUMBER, requirement VARCHAR2, college VARCHAR2)
CREATE TABLE program (program_id NUMBER, name VARCHAR2, college VARCHAR2, introduction 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 program_course (program_id NUMBER, course_id NUMBER, workload NUMBER, category VARCHAR2)
CREATE TABLE ta (campus_job_id NUMBER, student_id NUMBER, location VARCHAR2)
CREATE TABLE jobs (job_id NUMBER, job_title VARCHAR2, description VARCHAR2, requirement VARCHAR2, city VARCHAR2, state VARCHAR2, country VARCHAR2, zip 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 course_prerequisite (pre_course_id NUMBER, course_id NUMBER)
CREATE TABLE area (course_id NUMBER, area 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 instructor (instructor_id NUMBER, name VARCHAR2, uniqname VARCHAR2)
CREATE TABLE semester (semester_id NUMBER, semester VARCHAR2, year NUMBER)
CREATE TABLE student_record (student_id NUMBER, course_id NUMBER, semester NUMBER, grade VARCHAR2, how VARCHAR2, transfer_source VARCHAR2, earn_credit VARCHAR2, repeat_term VARCHAR2, test_id VARCHAR2)
CREATE TABLE comment_instructor (instructor_id NUMBER, student_id NUMBER, score NUMBER, comment_text VARCHAR2)
CREATE TABLE course_offering (offering_id NUMBER, course_id NUMBER, semester NUMBER, section_number NUMBER, start_time TIME, end_time TIME, monday VARCHAR2, tuesday VARCHAR2, wednesday VARCHAR2, thursday VARCHAR2, friday VARCHAR2, saturday VARCHAR2, sunday VARCHAR2, has_final_project VARCHAR2, has_final_exam VARCHAR2, textbook VARCHAR2, class_address VARCHAR2, allow_audit VARCHAR2)
| Can you list all of Prof. Megan Gilster 's clases , past , future and current ? | SELECT DISTINCT course.department, course.name, course.number FROM course, course_offering, instructor, offering_instructor WHERE course.course_id = course_offering.course_id AND instructor.name LIKE '%Megan Gilster%' AND offering_instructor.instructor_id = instructor.instructor_id AND offering_instructor.offering_id = course_offering.offering_id | SELECT DISTINCT "course"."department", "course"."name", "course"."number" FROM "course" JOIN "course_offering" ON "course"."course_id" = "course_offering"."course_id" JOIN "offering_instructor" ON "course_offering"."offering_id" = "offering_instructor"."offering_id" JOIN "instructor" ON "instructor"."instructor_id" = "offering_instructor"."instructor_id" AND "instructor"."name" LIKE '%Megan Gilster%' | 0.393555 |
CREATE TABLE cost (costid NUMBER, uniquepid CLOB, patienthealthsystemstayid NUMBER, eventtype CLOB, eventid NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE diagnosis (diagnosisid NUMBER, patientunitstayid NUMBER, diagnosisname CLOB, diagnosistime TIME, icd9code CLOB)
CREATE TABLE medication (medicationid NUMBER, patientunitstayid NUMBER, drugname CLOB, dosage CLOB, routeadmin CLOB, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE allergy (allergyid NUMBER, patientunitstayid NUMBER, drugname CLOB, allergyname CLOB, allergytime TIME)
CREATE TABLE lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime TIME)
CREATE TABLE microlab (microlabid NUMBER, patientunitstayid NUMBER, culturesite CLOB, organism CLOB, culturetakentime TIME)
CREATE TABLE vitalperiodic (vitalperiodicid NUMBER, patientunitstayid NUMBER, temperature NUMBER, sao2 NUMBER, heartrate NUMBER, respiration NUMBER, systemicsystolic NUMBER, systemicdiastolic NUMBER, systemicmean NUMBER, observationtime TIME)
CREATE TABLE treatment (treatmentid NUMBER, patientunitstayid NUMBER, treatmentname CLOB, treatmenttime TIME)
CREATE TABLE intakeoutput (intakeoutputid NUMBER, patientunitstayid NUMBER, cellpath CLOB, celllabel CLOB, cellvaluenumeric NUMBER, intakeoutputtime TIME)
CREATE TABLE patient (uniquepid CLOB, patienthealthsystemstayid NUMBER, patientunitstayid NUMBER, gender CLOB, age CLOB, ethnicity CLOB, hospitalid NUMBER, wardid NUMBER, admissionheight NUMBER, admissionweight NUMBER, dischargeweight NUMBER, hospitaladmittime TIME, hospitaladmitsource CLOB, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus CLOB)
| tell me, what were the three most common procedures during a year before? | SELECT t1.treatmentname FROM (SELECT treatment.treatmentname, DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS c1 FROM treatment WHERE DATETIME(treatment.treatmenttime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year') GROUP BY treatment.treatmentname) AS t1 WHERE t1.c1 <= 3 | WITH "t1" AS (SELECT "treatment"."treatmentname", DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS "c1" FROM "treatment" WHERE DATETIME("treatment"."treatmenttime", 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year') GROUP BY "treatment"."treatmentname") SELECT "t1"."treatmentname" FROM "t1" "t1" WHERE "t1"."c1" <= 3 | 0.327148 |
CREATE TABLE table_17590 ("Year" FLOAT, "Mens singles" CLOB, "Womens singles" CLOB, "Mens doubles" CLOB, "Womens doubles" CLOB, "Mixed doubles" CLOB)
| When did Chetan Anand win his first men's single? | SELECT MIN("Year") FROM table_17590 WHERE "Mens singles" = 'Chetan Anand' | SELECT MIN("Year") FROM "table_17590" WHERE "Mens singles" = 'Chetan Anand' | 0.073242 |
CREATE TABLE Addresses (Address_ID NUMBER, address_details VARCHAR2)
CREATE TABLE Locations (Location_ID NUMBER, Other_Details VARCHAR2)
CREATE TABLE Parties_in_Events (Party_ID NUMBER, Event_ID NUMBER, Role_Code CHAR)
CREATE TABLE Products_in_Events (Product_in_Event_ID NUMBER, Event_ID NUMBER, Product_ID NUMBER)
CREATE TABLE Assets (Asset_ID NUMBER, Other_Details VARCHAR2)
CREATE TABLE Products (Product_ID NUMBER, Product_Type_Code CHAR, Product_Name VARCHAR2, Product_Price NUMBER)
CREATE TABLE Parties (Party_ID NUMBER, Party_Details VARCHAR2)
CREATE TABLE Channels (Channel_ID NUMBER, Other_Details VARCHAR2)
CREATE TABLE Agreements (Document_ID NUMBER, Event_ID NUMBER)
CREATE TABLE Finances (Finance_ID NUMBER, Other_Details VARCHAR2)
CREATE TABLE Events (Event_ID NUMBER, Address_ID NUMBER, Channel_ID NUMBER, Event_Type_Code CHAR, Finance_ID NUMBER, Location_ID NUMBER)
CREATE TABLE Assets_in_Events (Asset_ID NUMBER, Event_ID NUMBER)
| Give me a bar chart for the total number of each product type code, sort by the x-axis in asc. | SELECT Product_Type_Code, COUNT(*) FROM Products GROUP BY Product_Type_Code ORDER BY Product_Type_Code | SELECT "Product_Type_Code", COUNT(*) FROM "Products" GROUP BY "Product_Type_Code" ORDER BY "Product_Type_Code" | 0.107422 |
CREATE TABLE table_name_65 (nationality VARCHAR2, school_club_team VARCHAR2)
| What is the nationality of school/club team of barton cc (ks)? | SELECT nationality FROM table_name_65 WHERE school_club_team = "barton cc (ks)" | SELECT "nationality" FROM "table_name_65" WHERE "barton cc (ks)" = "school_club_team" | 0.083008 |
CREATE TABLE artist (artist_name VARCHAR2, country VARCHAR2, gender VARCHAR2, preferred_genre VARCHAR2)
CREATE TABLE genre (g_name VARCHAR2, rating VARCHAR2, most_popular_in VARCHAR2)
CREATE TABLE song (song_name VARCHAR2, artist_name VARCHAR2, country VARCHAR2, f_id NUMBER, genre_is VARCHAR2, rating NUMBER, languages VARCHAR2, releasedate DATE, resolution NUMBER)
CREATE TABLE files (f_id NUMBER, artist_name VARCHAR2, file_size VARCHAR2, duration VARCHAR2, formats VARCHAR2)
| How many songs were released for each format. Show bar chart. | SELECT formats, COUNT(*) FROM files GROUP BY formats | SELECT "formats", COUNT(*) FROM "files" GROUP BY "formats" | 0.056641 |
CREATE TABLE table_name_51 (bronze NUMBER, silver VARCHAR2, gold VARCHAR2)
| What is the number of bronze that silver is smaller than 1 and gold bigger than 0? | SELECT AVG(bronze) FROM table_name_51 WHERE silver < 1 AND gold > 0 | SELECT AVG("bronze") FROM "table_name_51" WHERE "gold" > 0 AND "silver" < 1 | 0.073242 |
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 drug type is base and lab test name is folate? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE prescriptions.drug_type = "BASE" AND lab.label = "Folate" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "lab" ON "Folate" = "lab"."label" AND "demographic"."hadm_id" = "lab"."hadm_id" JOIN "prescriptions" ON "BASE" = "prescriptions"."drug_type" AND "demographic"."hadm_id" = "prescriptions"."hadm_id" | 0.263672 |
CREATE TABLE semester (semester_id NUMBER, semester VARCHAR2, year NUMBER)
CREATE TABLE course_offering (offering_id NUMBER, course_id NUMBER, semester NUMBER, section_number NUMBER, start_time TIME, end_time TIME, monday VARCHAR2, tuesday VARCHAR2, wednesday VARCHAR2, thursday VARCHAR2, friday VARCHAR2, saturday VARCHAR2, sunday VARCHAR2, has_final_project VARCHAR2, has_final_exam VARCHAR2, textbook VARCHAR2, class_address VARCHAR2, allow_audit VARCHAR2)
CREATE TABLE program_requirement (program_id NUMBER, category VARCHAR2, min_credit NUMBER, additional_req VARCHAR2)
CREATE TABLE comment_instructor (instructor_id NUMBER, student_id NUMBER, score NUMBER, comment_text VARCHAR2)
CREATE TABLE 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 program_course (program_id NUMBER, course_id NUMBER, workload NUMBER, category VARCHAR2)
CREATE TABLE gsi (course_offering_id NUMBER, student_id NUMBER)
CREATE TABLE course_prerequisite (pre_course_id NUMBER, course_id NUMBER)
CREATE TABLE course (course_id NUMBER, name VARCHAR2, department VARCHAR2, number VARCHAR2, credits VARCHAR2, advisory_requirement VARCHAR2, enforced_requirement VARCHAR2, description VARCHAR2, num_semesters NUMBER, num_enrolled NUMBER, has_discussion VARCHAR2, has_lab VARCHAR2, has_projects VARCHAR2, has_exams VARCHAR2, num_reviews NUMBER, clarity_score NUMBER, easiness_score NUMBER, helpfulness_score NUMBER)
CREATE TABLE 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 requirement (requirement_id NUMBER, requirement VARCHAR2, college VARCHAR2)
CREATE TABLE course_tags_count (course_id NUMBER, clear_grading NUMBER, pop_quiz NUMBER, group_projects NUMBER, inspirational NUMBER, long_lectures NUMBER, extra_credit NUMBER, few_tests NUMBER, good_feedback NUMBER, tough_tests NUMBER, heavy_papers NUMBER, cares_for_students NUMBER, heavy_assignments NUMBER, respected NUMBER, participation NUMBER, heavy_reading NUMBER, tough_grader NUMBER, hilarious NUMBER, would_take_again NUMBER, good_lecture NUMBER, no_skip NUMBER)
CREATE TABLE program (program_id NUMBER, name VARCHAR2, college VARCHAR2, introduction VARCHAR2)
CREATE TABLE area (course_id NUMBER, area 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 jobs (job_id NUMBER, job_title VARCHAR2, description VARCHAR2, requirement VARCHAR2, city VARCHAR2, state VARCHAR2, country VARCHAR2, zip NUMBER)
| Are Prof. Claudia Kedar 's classes always on Friday ? | SELECT COUNT(*) = 0 FROM course INNER JOIN course_offering ON course.course_id = course_offering.course_id INNER JOIN offering_instructor ON offering_instructor.offering_id = course_offering.offering_id INNER JOIN instructor ON offering_instructor.instructor_id = instructor.instructor_id WHERE course_offering.friday = 'N' AND instructor.name LIKE '%Claudia Kedar%' | SELECT COUNT(*) = 0 FROM "course" JOIN "course_offering" ON "course"."course_id" = "course_offering"."course_id" AND "course_offering"."friday" = 'N' JOIN "offering_instructor" ON "course_offering"."offering_id" = "offering_instructor"."offering_id" JOIN "instructor" ON "instructor"."instructor_id" = "offering_instructor"."instructor_id" AND "instructor"."name" LIKE '%Claudia Kedar%' | 0.376953 |
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 ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment CLOB)
CREATE TABLE ReviewTaskResultTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE SuggestedEditVotes (Id NUMBER, SuggestedEditId NUMBER, UserId NUMBER, VoteTypeId NUMBER, CreationDate TIME, TargetUserId NUMBER, TargetRepChange NUMBER)
CREATE TABLE PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId 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 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 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 CloseReasonTypes (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 Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
CREATE TABLE PostTypes (Id NUMBER, Name CLOB)
CREATE TABLE Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
CREATE TABLE FlagTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId NUMBER)
CREATE TABLE ReviewTaskStates (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE VoteTypes (Id NUMBER, Name CLOB)
CREATE TABLE PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
CREATE TABLE PostHistoryTypes (Id NUMBER, Name CLOB)
CREATE TABLE PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId NUMBER)
CREATE TABLE ReviewTaskTypes (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 Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount 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 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)
| Questions with low score answers (from high rep users). Tries locating hidden gems by searching for answers by high rep users which has low score. To help decide score level it also lists max and average score on that question. It does however _not_ list the user, as we don't want to actually focus on the users when looking for hidden gems, but more to revisit and up-vote worthy answers. | SELECT u.Id AS "user_link", a.Id AS "post_link", a.CreationDate, a.Score, q.MaxAns, q.AvgAns, q.Tags FROM Posts AS a JOIN Users AS u ON a.OwnerUserId = u.Id JOIN (SELECT q.Id, q.Tags, AVG(a.Score) AS AvgAns, MAX(a.Score) AS MaxAns FROM Posts AS q JOIN Posts AS a ON a.ParentId = q.Id WHERE q.AcceptedAnswerId IS NULL GROUP BY q.Id, q.Tags) AS q ON a.ParentId = q.Id WHERE (u.Reputation > @reputationLimit) AND a.Score <= @lowScoreLimit AND (@tag = '' OR q.Tags LIKE '%' + @tag + '%') ORDER BY a.CreationDate DESC LIMIT 100 | WITH "q" AS (SELECT "q"."Id", "q"."Tags", AVG("a"."Score") AS "AvgAns", MAX("a"."Score") AS "MaxAns" FROM "Posts" "q" JOIN "Posts" "a" ON "a"."ParentId" = "q"."Id" WHERE "q"."AcceptedAnswerId" IS NULL GROUP BY "q"."Id", "q"."Tags") SELECT "u"."Id" AS "user_link", "a"."Id" AS "post_link", "a"."CreationDate", "a"."Score", "q"."MaxAns", "q"."AvgAns", "q"."Tags" FROM "Posts" "a" JOIN "q" "q" ON "a"."ParentId" = "q"."Id" AND ("q"."Tags" LIKE '%' + @tag + '%' OR @tag = '') JOIN "Users" "u" ON "a"."OwnerUserId" = "u"."Id" AND "u"."Reputation" > @reputationLimit WHERE "a"."Score" <= @lowScoreLimit ORDER BY "a"."CreationDate" DESC FETCH FIRST 100 ROWS ONLY | 0.639648 |
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 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)
| what is the number of patients whose admission location is phys referral/normal deli and with admission year before 2177? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.admission_location = "PHYS REFERRAL/NORMAL DELI" AND demographic.admityear < "2177" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "2177" > "demographic"."admityear" AND "PHYS REFERRAL/NORMAL DELI" = "demographic"."admission_location" | 0.173828 |
CREATE TABLE table_15680 ("Year" FLOAT, "Entrant" CLOB, "Chassis" CLOB, "Engine" CLOB, "Points" FLOAT)
| Which entrant before 1965 scored more than 0 point with the lotus 25 chassis? | SELECT "Entrant" FROM table_15680 WHERE "Year" < '1965' AND "Points" > '0' AND "Chassis" = 'lotus 25' | SELECT "Entrant" FROM "table_15680" WHERE "Chassis" = 'lotus 25' AND "Points" > '0' AND "Year" < '1965' | 0.100586 |
CREATE TABLE table_204_824 (id NUMBER, "no." NUMBER, "train no:" CLOB, "origin" CLOB, "destination" CLOB, "train name" CLOB)
| how many trains are passenger ? | SELECT COUNT(*) FROM table_204_824 WHERE "train name" = 'passenger' | SELECT COUNT(*) FROM "table_204_824" WHERE "train name" = 'passenger' | 0.067383 |
CREATE TABLE table_78045 ("Player" CLOB, "Rec." FLOAT, "Yards" FLOAT, "Avg." FLOAT, "TD's" FLOAT, "Long" FLOAT)
| How many TDs are there were the long is smaller than 23? | SELECT MIN("TD's") FROM table_78045 WHERE "Long" < '23' | SELECT MIN("TD's") FROM "table_78045" WHERE "Long" < '23' | 0.055664 |
CREATE TABLE table_43888 ("Year" FLOAT, "Category" CLOB, "Genre" CLOB, "Title" CLOB, "Result" CLOB)
| WHAT IS THE YEAR OF FLOETIC? | SELECT SUM("Year") FROM table_43888 WHERE "Title" = 'floetic' | SELECT SUM("Year") FROM "table_43888" WHERE "Title" = 'floetic' | 0.061523 |
CREATE TABLE dataset (datasetid NUMBER, datasetname VARCHAR2)
CREATE TABLE journal (journalid NUMBER, journalname VARCHAR2)
CREATE TABLE paperdataset (paperid NUMBER, datasetid NUMBER)
CREATE TABLE paper (paperid NUMBER, title VARCHAR2, venueid NUMBER, year NUMBER, numciting NUMBER, numcitedby NUMBER, journalid NUMBER)
CREATE TABLE paperfield (fieldid NUMBER, paperid NUMBER)
CREATE TABLE paperkeyphrase (paperid NUMBER, keyphraseid NUMBER)
CREATE TABLE writes (paperid NUMBER, authorid NUMBER)
CREATE TABLE cite (citingpaperid NUMBER, citedpaperid NUMBER)
CREATE TABLE author (authorid NUMBER, authorname VARCHAR2)
CREATE TABLE keyphrase (keyphraseid NUMBER, keyphrasename VARCHAR2)
CREATE TABLE venue (venueid NUMBER, venuename VARCHAR2)
CREATE TABLE field (fieldid NUMBER)
| papers published at EMNLP 2010 | SELECT DISTINCT paper.paperid FROM paper, venue WHERE paper.year = 2010 AND venue.venueid = paper.venueid AND venue.venuename = 'EMNLP' | SELECT DISTINCT "paper"."paperid" FROM "paper" JOIN "venue" ON "paper"."venueid" = "venue"."venueid" AND "venue"."venuename" = 'EMNLP' WHERE "paper"."year" = 2010 | 0.158203 |
CREATE TABLE table_278229_1 (commandery VARCHAR2)
| When gaoliang is the commandery what is the commandery capital? | SELECT commandery AS capital FROM table_278229_1 WHERE commandery = "Gaoliang 高涼" | SELECT "commandery" AS "capital" FROM "table_278229_1" WHERE "Gaoliang 高涼" = "commandery" | 0.086914 |
CREATE TABLE d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
CREATE TABLE microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
CREATE TABLE inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
CREATE TABLE 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 prescriptions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, startdate TIME, enddate TIME, drug CLOB, dose_val_rx CLOB, dose_unit_rx CLOB, route CLOB)
CREATE TABLE chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE admissions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, admittime TIME, dischtime TIME, admission_type CLOB, admission_location CLOB, discharge_location CLOB, insurance CLOB, language CLOB, marital_status CLOB, ethnicity CLOB, age NUMBER)
CREATE TABLE diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE icustays (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, first_careunit CLOB, last_careunit CLOB, first_wardid NUMBER, last_wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
CREATE TABLE procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
| show the total amount of patient 14413's output on 06/15/2105. | SELECT SUM(outputevents.value) FROM outputevents WHERE outputevents.icustay_id IN (SELECT icustays.icustay_id FROM icustays WHERE icustays.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 14413)) AND STRFTIME('%y-%m-%d', outputevents.charttime) = '2105-06-15' | WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 14413 GROUP BY "hadm_id"), "_u_1" AS (SELECT "icustays"."icustay_id" FROM "icustays" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "icustays"."hadm_id" WHERE NOT "_u_0"."" IS NULL GROUP BY "icustay_id") SELECT SUM("outputevents"."value") FROM "outputevents" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "outputevents"."icustay_id" WHERE NOT "_u_1"."" IS NULL AND STRFTIME('%y-%m-%d', "outputevents"."charttime") = '2105-06-15' | 0.499023 |
CREATE TABLE table_name_1 (rounds NUMBER, champion VARCHAR2)
| What are the rounds for champion New Zealand (130 points)? | SELECT AVG(rounds) FROM table_name_1 WHERE champion = "new zealand (130 points)" | SELECT AVG("rounds") FROM "table_name_1" WHERE "champion" = "new zealand (130 points)" | 0.083984 |
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 chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
CREATE TABLE d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
CREATE TABLE patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
CREATE TABLE outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
CREATE TABLE diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE prescriptions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, startdate TIME, enddate TIME, drug CLOB, dose_val_rx CLOB, dose_unit_rx CLOB, route CLOB)
CREATE TABLE transfers (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, eventtype CLOB, careunit CLOB, wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE 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 procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
CREATE TABLE icustays (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, first_careunit CLOB, last_careunit CLOB, first_wardid NUMBER, last_wardid NUMBER, intime TIME, outtime TIME)
| until 2104, how many patients with patent ductus arteriosus were diagnosed within 2 months after being diagnosed with lack of coordination? | SELECT COUNT(DISTINCT t1.subject_id) 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 = 'patent ductus arteriosus') AND STRFTIME('%y', diagnoses_icd.charttime) <= '2104') AS t1 JOIN (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 = 'lack of coordination') AND STRFTIME('%y', diagnoses_icd.charttime) <= '2104') AS t2 ON t1.subject_id = t2.subject_id WHERE t1.charttime < t2.charttime AND DATETIME(t2.charttime) BETWEEN DATETIME(t1.charttime) AND DATETIME(t1.charttime, '+2 month') | WITH "t2" AS (SELECT "admissions"."subject_id", "diagnoses_icd"."charttime" FROM "diagnoses_icd" JOIN "d_icd_diagnoses" ON "d_icd_diagnoses"."icd9_code" = "diagnoses_icd"."icd9_code" AND "d_icd_diagnoses"."short_title" = 'lack of coordination' JOIN "admissions" ON "admissions"."hadm_id" = "diagnoses_icd"."hadm_id" WHERE STRFTIME('%y', "diagnoses_icd"."charttime") <= '2104') SELECT COUNT(DISTINCT "admissions"."subject_id") FROM "diagnoses_icd" JOIN "d_icd_diagnoses" ON "d_icd_diagnoses"."icd9_code" = "diagnoses_icd"."icd9_code" AND "d_icd_diagnoses"."short_title" = 'patent ductus arteriosus' 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"."charttime" AND DATETIME("diagnoses_icd"."charttime") <= DATETIME("t2"."charttime") AND DATETIME("diagnoses_icd"."charttime", '+2 month') >= DATETIME("t2"."charttime") WHERE STRFTIME('%y', "diagnoses_icd"."charttime") <= '2104' | 0.976563 |
CREATE TABLE table_name_92 (rating NUMBER, rank__timeslot_ VARCHAR2, rank__night_ VARCHAR2)
| what is the rating when the rank (timeslot) is less than 3 and the rank (night) is less than 8? | SELECT SUM(rating) FROM table_name_92 WHERE rank__timeslot_ < 3 AND rank__night_ < 8 | SELECT SUM("rating") FROM "table_name_92" WHERE "rank__night_" < 8 AND "rank__timeslot_" < 3 | 0.089844 |
CREATE TABLE actor (actor_id NUMBER, first_name CLOB, last_name CLOB, last_update TIME)
CREATE TABLE city (city_id NUMBER, city CLOB, country_id NUMBER, last_update TIME)
CREATE TABLE film_category (film_id NUMBER, category_id NUMBER, last_update TIME)
CREATE TABLE film (film_id NUMBER, title CLOB, description CLOB, release_year TIME, language_id NUMBER, original_language_id NUMBER, rental_duration NUMBER, rental_rate NUMBER, length NUMBER, replacement_cost NUMBER, rating CLOB, special_features CLOB, last_update TIME)
CREATE TABLE store (store_id NUMBER, manager_staff_id NUMBER, address_id NUMBER, last_update TIME)
CREATE TABLE film_actor (actor_id NUMBER, film_id NUMBER, last_update TIME)
CREATE TABLE customer (customer_id NUMBER, store_id NUMBER, first_name CLOB, last_name CLOB, email CLOB, address_id NUMBER, active BOOLEAN, create_date TIME, last_update TIME)
CREATE TABLE film_text (film_id NUMBER, title CLOB, description CLOB)
CREATE TABLE address (address_id NUMBER, address CLOB, address2 CLOB, district CLOB, city_id NUMBER, postal_code CLOB, phone CLOB, last_update TIME)
CREATE TABLE category (category_id NUMBER, name CLOB, last_update TIME)
CREATE TABLE rental (rental_id NUMBER, rental_date TIME, inventory_id NUMBER, customer_id NUMBER, return_date TIME, staff_id NUMBER, last_update TIME)
CREATE TABLE country (country_id NUMBER, country CLOB, last_update TIME)
CREATE TABLE staff (staff_id NUMBER, first_name CLOB, last_name CLOB, address_id NUMBER, picture others, email CLOB, store_id NUMBER, active BOOLEAN, username CLOB, password CLOB, last_update TIME)
CREATE TABLE language (language_id NUMBER, name CLOB, last_update TIME)
CREATE TABLE inventory (inventory_id NUMBER, film_id NUMBER, store_id NUMBER, last_update TIME)
CREATE TABLE payment (payment_id NUMBER, customer_id NUMBER, staff_id NUMBER, rental_id NUMBER, amount NUMBER, payment_date TIME, last_update TIME)
| How many addresses are in the district of California? | SELECT COUNT(*) FROM address WHERE district = 'California' | SELECT COUNT(*) FROM "address" WHERE "district" = 'California' | 0.060547 |
CREATE TABLE table_38296 ("Rank" FLOAT, "Name" CLOB, "Nationality" CLOB, "1st ( m ) " FLOAT, "2nd ( m ) " FLOAT, "Points" FLOAT, "Overall WC points ( Rank ) " CLOB)
| What is the lowest points that has 135 as 2nd (m)? | SELECT MIN("Points") FROM table_38296 WHERE "2nd (m)" = '135' | SELECT MIN("Points") FROM "table_38296" WHERE "2nd (m)" = '135' | 0.061523 |
CREATE TABLE basketball_match (Team_ID NUMBER, School_ID NUMBER, Team_Name CLOB, ACC_Regular_Season CLOB, ACC_Percent CLOB, ACC_Home CLOB, ACC_Road CLOB, All_Games CLOB, All_Games_Percent NUMBER, All_Home CLOB, All_Road CLOB, All_Neutral CLOB)
CREATE TABLE university (School_ID NUMBER, School CLOB, Location CLOB, Founded FLOAT, Affiliation CLOB, Enrollment FLOAT, Nickname CLOB, Primary_conference CLOB)
| Visualize a pie chart about the proportion of All_Neutral and School_ID. | SELECT All_Neutral, School_ID FROM basketball_match | SELECT "All_Neutral", "School_ID" FROM "basketball_match" | 0.055664 |
CREATE TABLE table_2602958_3 (director VARCHAR2, prod_code VARCHAR2)
| Who directed the episode with production code 227451? | SELECT director FROM table_2602958_3 WHERE prod_code = 227451 | SELECT "director" FROM "table_2602958_3" WHERE "prod_code" = 227451 | 0.06543 |
CREATE TABLE table_25060 ("Name" CLOB, "#" FLOAT, "Position" CLOB, "Height" CLOB, "Weight" FLOAT, "Year" CLOB, "Home Town" CLOB, "High School" CLOB)
| What was rickie winslow's number? | SELECT MAX("#") FROM table_25060 WHERE "Name" = 'Rickie Winslow' | SELECT MAX("#") FROM "table_25060" WHERE "Name" = 'Rickie Winslow' | 0.064453 |
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
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)
| Find out the short title of the procedure for procedure icd9 code 3613. | SELECT procedures.short_title FROM procedures WHERE procedures.icd9_code = "3613" | SELECT "procedures"."short_title" FROM "procedures" WHERE "3613" = "procedures"."icd9_code" | 0.088867 |
CREATE TABLE table_name_31 (annual_change VARCHAR2, rank VARCHAR2, capacity_in_use VARCHAR2)
| In which yearly change was there a capacity of 78.4% and a rank smaller than 3? | SELECT annual_change FROM table_name_31 WHERE rank < 3 AND capacity_in_use = "78.4%" | SELECT "annual_change" FROM "table_name_31" WHERE "78.4%" = "capacity_in_use" AND "rank" < 3 | 0.089844 |
CREATE TABLE table_47510 ("Team A" CLOB, "Team C" CLOB, "Team D" CLOB, "Team E" CLOB, "Team F" CLOB)
| Who is team f when Aida Gagaring is team A? | SELECT "Team F" FROM table_47510 WHERE "Team A" = 'aida gagaring' | SELECT "Team F" FROM "table_47510" WHERE "Team A" = 'aida gagaring' | 0.06543 |
CREATE TABLE table_name_42 (date VARCHAR2, opponents VARCHAR2, league_position VARCHAR2)
| What is the date of the game against Chelsea when the league position is 14th? | SELECT date FROM table_name_42 WHERE opponents = "chelsea" AND league_position = "14th" | SELECT "date" FROM "table_name_42" WHERE "14th" = "league_position" AND "chelsea" = "opponents" | 0.092773 |
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 prescriptions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, startdate TIME, enddate TIME, drug CLOB, dose_val_rx CLOB, dose_unit_rx CLOB, route CLOB)
CREATE TABLE chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE admissions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, admittime TIME, dischtime TIME, admission_type CLOB, admission_location CLOB, discharge_location CLOB, insurance CLOB, language CLOB, marital_status CLOB, ethnicity CLOB, age NUMBER)
CREATE TABLE transfers (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, eventtype CLOB, careunit CLOB, wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
CREATE TABLE patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
CREATE TABLE microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
CREATE TABLE d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
CREATE TABLE inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
CREATE TABLE labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
CREATE TABLE d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
| until 2102 what were the four most common lab tests? | SELECT d_labitems.label FROM d_labitems WHERE d_labitems.itemid IN (SELECT t1.itemid FROM (SELECT labevents.itemid, DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS c1 FROM labevents WHERE STRFTIME('%y', labevents.charttime) <= '2102' GROUP BY labevents.itemid) AS t1 WHERE t1.c1 <= 4) | WITH "t1" AS (SELECT "labevents"."itemid", DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS "c1" FROM "labevents" WHERE STRFTIME('%y', "labevents"."charttime") <= '2102' GROUP BY "labevents"."itemid"), "_u_0" AS (SELECT "t1"."itemid" FROM "t1" "t1" WHERE "t1"."c1" <= 4 GROUP BY "itemid") SELECT "d_labitems"."label" FROM "d_labitems" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "d_labitems"."itemid" WHERE NOT "_u_0"."" IS NULL | 0.410156 |
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 patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
CREATE TABLE procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
CREATE TABLE labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
CREATE TABLE d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE icustays (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, first_careunit CLOB, last_careunit CLOB, first_wardid NUMBER, last_wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
CREATE TABLE microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
CREATE TABLE prescriptions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, startdate TIME, enddate TIME, drug CLOB, dose_val_rx CLOB, dose_unit_rx CLOB, route CLOB)
CREATE TABLE admissions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, admittime TIME, dischtime TIME, admission_type CLOB, admission_location CLOB, discharge_location CLOB, insurance CLOB, language CLOB, marital_status CLOB, ethnicity CLOB, age NUMBER)
CREATE TABLE d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE transfers (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, eventtype CLOB, careunit CLOB, wardid NUMBER, intime TIME, outtime TIME)
| when did patient 73595 receive the revise sm bowel anastom for the first time until 3 years ago? | SELECT procedures_icd.charttime FROM procedures_icd WHERE procedures_icd.icd9_code = (SELECT d_icd_procedures.icd9_code FROM d_icd_procedures WHERE d_icd_procedures.short_title = 'revise sm bowel anastom') AND procedures_icd.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 73595) AND DATETIME(procedures_icd.charttime) <= DATETIME(CURRENT_TIME(), '-3 year') ORDER BY procedures_icd.charttime LIMIT 1 | WITH "_u_1" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 73595 GROUP BY "hadm_id") SELECT "procedures_icd"."charttime" FROM "procedures_icd" JOIN "d_icd_procedures" ON "d_icd_procedures"."icd9_code" = "procedures_icd"."icd9_code" AND "d_icd_procedures"."short_title" = 'revise sm bowel anastom' LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "procedures_icd"."hadm_id" WHERE DATETIME("procedures_icd"."charttime") <= DATETIME(CURRENT_TIME(), '-3 year') AND NOT "_u_1"."" IS NULL ORDER BY "procedures_icd"."charttime" FETCH FIRST 1 ROWS ONLY | 0.55957 |
CREATE TABLE table_204_16 (id NUMBER, "name" CLOB, "place" CLOB, "map ref" CLOB, "date" CLOB, "notes" CLOB, "image" CLOB)
| how many buildings are there total ? | SELECT COUNT("name") FROM table_204_16 | SELECT COUNT("name") FROM "table_204_16" | 0.039063 |
CREATE TABLE table_57371 ("Week" FLOAT, "Date" CLOB, "Opponent" CLOB, "Result" CLOB, "Attendance" CLOB)
| Who is the listed opponent in Week 2? | SELECT "Opponent" FROM table_57371 WHERE "Week" = '2' | SELECT "Opponent" FROM "table_57371" WHERE "Week" = '2' | 0.053711 |
CREATE TABLE table_42791 ("Name" CLOB, "Innings" FLOAT, "Runs Scored" FLOAT, "Balls Faced" FLOAT, "Average" FLOAT, "S.R." FLOAT)
| Which average S.R. has an Average of 39.13 and Balls Faced larger than 318? | SELECT AVG("S.R.") FROM table_42791 WHERE "Average" = '39.13' AND "Balls Faced" > '318' | SELECT AVG("S.R.") FROM "table_42791" WHERE "Average" = '39.13' AND "Balls Faced" > '318' | 0.086914 |
CREATE TABLE table_41575 ("Rank" CLOB, "s Wicket" CLOB, "Player" CLOB, "Matches" CLOB, "Season" CLOB)
| In what Season was Colin Miller (TAS) the Player? | SELECT "Season" FROM table_41575 WHERE "Player" = 'colin miller (tas)' | SELECT "Season" FROM "table_41575" WHERE "Player" = 'colin miller (tas)' | 0.070313 |
CREATE TABLE table_21824695_8 (team VARCHAR2, match_played VARCHAR2)
| Which team has a match played of 10 4? | SELECT team FROM table_21824695_8 WHERE match_played = "10 4" | SELECT "team" FROM "table_21824695_8" WHERE "10 4" = "match_played" | 0.06543 |
CREATE TABLE table_203_621 (id NUMBER, "player" CLOB, "games played" NUMBER, "minutes played" NUMBER, "minutes played per game" NUMBER, "rebounds" NUMBER, "rebounds per game" NUMBER, "assists" NUMBER, "assists per game" NUMBER, "field goal %" NUMBER, "free throw %" NUMBER, "3-point %" NUMBER, "points" NUMBER, "points per game" NUMBER)
| give the number of players covered by the table . | SELECT COUNT("player") FROM table_203_621 | SELECT COUNT("player") FROM "table_203_621" | 0.041992 |
CREATE TABLE table_15162479_8 (nominee VARCHAR2, net_vote VARCHAR2)
| What nominees had a net vote of 34.46%? | SELECT nominee FROM table_15162479_8 WHERE net_vote = "34.46%" | SELECT "nominee" FROM "table_15162479_8" WHERE "34.46%" = "net_vote" | 0.066406 |
CREATE TABLE table_name_33 (to_par VARCHAR2, place VARCHAR2, score VARCHAR2)
| What is the To par of the T5 Place Player with a Score of 71-68-76=215? | SELECT to_par FROM table_name_33 WHERE place = "t5" AND score = 71 - 68 - 76 = 215 | SELECT "to_par" FROM "table_name_33" WHERE "place" = "t5" AND "score" = FALSE | 0.075195 |
CREATE TABLE table_name_62 (position VARCHAR2, round VARCHAR2, team VARCHAR2)
| What was the position of the team Minneapolis Lakers during round T? | SELECT position FROM table_name_62 WHERE round = "t" AND team = "minneapolis lakers" | SELECT "position" FROM "table_name_62" WHERE "minneapolis lakers" = "team" AND "round" = "t" | 0.089844 |
CREATE TABLE table_2794 ("Game" FLOAT, "Date" CLOB, "Team" CLOB, "Score" CLOB, "High points" CLOB, "High rebounds" CLOB, "High assists" CLOB, "Location Attendance" CLOB, "Record" CLOB)
| Name the score for chicago | SELECT "Score" FROM table_2794 WHERE "Team" = 'Chicago' | SELECT "Score" FROM "table_2794" WHERE "Team" = 'Chicago' | 0.055664 |
CREATE TABLE table_name_75 (ties NUMBER, years VARCHAR2, pct VARCHAR2)
| How many Ties have Years of 1919 1925, and a Pct larger than 0.734? | SELECT SUM(ties) FROM table_name_75 WHERE years = "1919–1925" AND pct > 0.734 | SELECT SUM("ties") FROM "table_name_75" WHERE "1919–1925" = "years" AND "pct" > 0.734 | 0.083008 |
CREATE TABLE Customers (email_address VARCHAR2, date_of_birth VARCHAR2, first_name VARCHAR2)
| List email address and birthday of customer whose first name as Carole. | SELECT email_address, date_of_birth FROM Customers WHERE first_name = "Carole" | SELECT "email_address", "date_of_birth" FROM "Customers" WHERE "Carole" = "first_name" | 0.083984 |
CREATE TABLE table_15197 ("Name" CLOB, "Hair Color:" CLOB, "Eye Color:" CLOB, "Release Date" CLOB, "Retired?" CLOB)
| What is the release date for gold hair color? | SELECT "Release Date" FROM table_15197 WHERE "Hair Color:" = 'gold' | SELECT "Release Date" FROM "table_15197" WHERE "Hair Color:" = 'gold' | 0.067383 |
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
| provide the number of patients whose age is less than 62 and item id is 51382? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.age < "62" AND lab.itemid = "51382" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "lab" ON "51382" = "lab"."itemid" AND "demographic"."hadm_id" = "lab"."hadm_id" WHERE "62" > "demographic"."age" | 0.181641 |
CREATE TABLE table_name_8 (gold VARCHAR2, bronze VARCHAR2, total VARCHAR2)
| How many golds were there in a game that has 17 bronze and a total of 31? | SELECT gold FROM table_name_8 WHERE bronze = "17" AND total = "31" | SELECT "gold" FROM "table_name_8" WHERE "17" = "bronze" AND "31" = "total" | 0.072266 |
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 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)
| how many male patients were there with pituitary bleed as the primary disease? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.gender = "M" AND demographic.diagnosis = "PITUITARY BLEED" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "M" = "demographic"."gender" AND "PITUITARY BLEED" = "demographic"."diagnosis" | 0.149414 |
CREATE TABLE table_35547 ("School" CLOB, "Location" CLOB, "Mascot" CLOB, "Enrollment" FLOAT, "IHSAA Class" CLOB, "IHSAA Football Class" CLOB, "# / County" CLOB)
| Name the # country for new palestine | SELECT "# / County" FROM table_35547 WHERE "School" = 'new palestine' | SELECT "# / County" FROM "table_35547" WHERE "School" = 'new palestine' | 0.069336 |
CREATE TABLE CLASS (CLASS_CODE VARCHAR2, CRS_CODE VARCHAR2, CLASS_SECTION VARCHAR2, CLASS_TIME VARCHAR2, CLASS_ROOM VARCHAR2, PROF_NUM NUMBER)
CREATE TABLE EMPLOYEE (EMP_NUM NUMBER, EMP_LNAME VARCHAR2, EMP_FNAME VARCHAR2, EMP_INITIAL VARCHAR2, EMP_JOBCODE VARCHAR2, EMP_HIREDATE DATETIME, EMP_DOB DATETIME)
CREATE TABLE COURSE (CRS_CODE VARCHAR2, DEPT_CODE VARCHAR2, CRS_DESCRIPTION VARCHAR2, CRS_CREDIT FLOAT)
CREATE TABLE ENROLL (CLASS_CODE VARCHAR2, STU_NUM NUMBER, ENROLL_GRADE VARCHAR2)
CREATE TABLE STUDENT (STU_NUM NUMBER, STU_LNAME VARCHAR2, STU_FNAME VARCHAR2, STU_INIT VARCHAR2, STU_DOB DATETIME, STU_HRS NUMBER, STU_CLASS VARCHAR2, STU_GPA FLOAT, STU_TRANSFER NUMBER, DEPT_CODE VARCHAR2, STU_PHONE VARCHAR2, PROF_NUM NUMBER)
CREATE TABLE DEPARTMENT (DEPT_CODE VARCHAR2, DEPT_NAME VARCHAR2, SCHOOL_CODE VARCHAR2, EMP_NUM NUMBER, DEPT_ADDRESS VARCHAR2, DEPT_EXTENSION VARCHAR2)
CREATE TABLE PROFESSOR (EMP_NUM NUMBER, DEPT_CODE VARCHAR2, PROF_OFFICE VARCHAR2, PROF_EXTENSION VARCHAR2, PROF_HIGH_DEGREE VARCHAR2)
| Show the number of courses each instructor taught with a bar chart grouping by course code, could you display by the bars from high to low please? | SELECT CRS_CODE, COUNT(CRS_CODE) FROM CLASS AS T1 JOIN EMPLOYEE AS T2 ON T1.PROF_NUM = T2.EMP_NUM GROUP BY CRS_CODE ORDER BY CRS_CODE DESC | SELECT "CRS_CODE", COUNT("CRS_CODE") FROM "CLASS" "T1" JOIN "EMPLOYEE" "T2" ON "T1"."PROF_NUM" = "T2"."EMP_NUM" GROUP BY "CRS_CODE" ORDER BY "CRS_CODE" DESC | 0.152344 |
CREATE TABLE table_47619 ("Portfolio" CLOB, "Minister" CLOB, "Took office" CLOB, "Left office" CLOB, "Party" CLOB)
| What is Minister, when Party is 'AN'? | SELECT "Minister" FROM table_47619 WHERE "Party" = 'an' | SELECT "Minister" FROM "table_47619" WHERE "Party" = 'an' | 0.055664 |
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 treatment (treatmentid NUMBER, patientunitstayid NUMBER, treatmentname CLOB, treatmenttime 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 diagnosis (diagnosisid NUMBER, patientunitstayid NUMBER, diagnosisname CLOB, diagnosistime TIME, icd9code CLOB)
CREATE TABLE medication (medicationid NUMBER, patientunitstayid NUMBER, drugname CLOB, dosage CLOB, routeadmin CLOB, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE vitalperiodic (vitalperiodicid NUMBER, patientunitstayid NUMBER, temperature NUMBER, sao2 NUMBER, heartrate NUMBER, respiration NUMBER, systemicsystolic NUMBER, systemicdiastolic NUMBER, systemicmean NUMBER, observationtime TIME)
CREATE TABLE intakeoutput (intakeoutputid NUMBER, patientunitstayid NUMBER, cellpath CLOB, celllabel CLOB, cellvaluenumeric NUMBER, intakeoutputtime TIME)
| when is the first time that patient 022-178583 has the minimum sao2 value on 07/23/2105? | SELECT vitalperiodic.observationtime FROM vitalperiodic WHERE vitalperiodic.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '022-178583')) AND NOT vitalperiodic.sao2 IS NULL AND STRFTIME('%y-%m-%d', vitalperiodic.observationtime) = '2105-07-23' ORDER BY vitalperiodic.sao2, vitalperiodic.observationtime LIMIT 1 | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '022-178583' GROUP BY "patienthealthsystemstayid"), "_u_1" AS (SELECT "patient"."patientunitstayid" FROM "patient" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "patient"."patienthealthsystemstayid" WHERE NOT "_u_0"."" IS NULL GROUP BY "patientunitstayid") SELECT "vitalperiodic"."observationtime" FROM "vitalperiodic" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "vitalperiodic"."patientunitstayid" WHERE NOT "_u_1"."" IS NULL AND NOT "vitalperiodic"."sao2" IS NULL AND STRFTIME('%y-%m-%d', "vitalperiodic"."observationtime") = '2105-07-23' ORDER BY "vitalperiodic"."sao2", "vitalperiodic"."observationtime" FETCH FIRST 1 ROWS ONLY | 0.708008 |
CREATE TABLE table_name_92 (date VARCHAR2, opponent VARCHAR2)
| On which date was the opponent lamine ouahab? | SELECT date FROM table_name_92 WHERE opponent = "lamine ouahab" | SELECT "date" FROM "table_name_92" WHERE "lamine ouahab" = "opponent" | 0.067383 |
CREATE TABLE table_name_21 (date VARCHAR2, away_team VARCHAR2)
| What was the date that featured a game against Gold Coast Blaze? | SELECT date FROM table_name_21 WHERE away_team = "gold coast blaze" | SELECT "date" FROM "table_name_21" WHERE "away_team" = "gold coast blaze" | 0.071289 |
CREATE TABLE people (person_id NUMBER, first_name CLOB, middle_name CLOB, last_name CLOB, cell_mobile_number CLOB, email_address CLOB, login_name CLOB, password CLOB)
CREATE TABLE students (student_id NUMBER, student_details CLOB)
CREATE TABLE addresses (address_id NUMBER, line_1 CLOB, line_2 CLOB, city CLOB, zip_postcode CLOB, state_province_county CLOB, country CLOB)
CREATE TABLE student_course_attendance (student_id NUMBER, course_id NUMBER, date_of_attendance TIME)
CREATE TABLE candidates (candidate_id NUMBER, candidate_details CLOB)
CREATE TABLE candidate_assessments (candidate_id NUMBER, qualification CLOB, assessment_date TIME, asessment_outcome_code CLOB)
CREATE TABLE people_addresses (person_address_id NUMBER, person_id NUMBER, address_id NUMBER, date_from TIME, date_to TIME)
CREATE TABLE courses (course_id CLOB, course_name CLOB, course_description CLOB, other_details CLOB)
CREATE TABLE student_course_registrations (student_id NUMBER, course_id NUMBER, registration_date TIME)
| For every student who is registered for some course, how many courses are they registered for? | SELECT T1.student_id, COUNT(*) FROM students AS T1 JOIN student_course_registrations AS T2 ON T1.student_id = T2.student_id GROUP BY T1.student_id | SELECT "T1"."student_id", COUNT(*) FROM "students" "T1" JOIN "student_course_registrations" "T2" ON "T1"."student_id" = "T2"."student_id" GROUP BY "T1"."student_id" | 0.160156 |
CREATE TABLE department (dept_code CLOB, dept_name CLOB, school_code CLOB, emp_num NUMBER, dept_address CLOB, dept_extension CLOB)
CREATE TABLE employee (emp_num NUMBER, emp_lname CLOB, emp_fname CLOB, emp_initial CLOB, emp_jobcode CLOB, emp_hiredate TIME, emp_dob TIME)
CREATE TABLE course (crs_code CLOB, dept_code CLOB, crs_description CLOB, crs_credit NUMBER)
CREATE TABLE student (stu_num NUMBER, stu_lname CLOB, stu_fname CLOB, stu_init CLOB, stu_dob TIME, stu_hrs NUMBER, stu_class CLOB, stu_gpa NUMBER, stu_transfer NUMBER, dept_code CLOB, stu_phone CLOB, prof_num NUMBER)
CREATE TABLE enroll (class_code CLOB, stu_num NUMBER, enroll_grade CLOB)
CREATE TABLE class (class_code CLOB, crs_code CLOB, class_section CLOB, class_time CLOB, class_room CLOB, prof_num NUMBER)
CREATE TABLE professor (emp_num NUMBER, dept_code CLOB, prof_office CLOB, prof_extension CLOB, prof_high_degree CLOB)
| list names of all departments ordered by their names. | SELECT dept_name FROM department ORDER BY dept_name | SELECT "dept_name" FROM "department" ORDER BY "dept_name" | 0.055664 |
CREATE TABLE table_train_58 ("id" NUMBER, "pregnancy_or_lactation" BOOLEAN, "white_blood_cell_count_wbc" NUMBER, "systolic_blood_pressure_sbp" NUMBER, "temperature" FLOAT, "surgery" BOOLEAN, "antibiotic_treatment" BOOLEAN, "heart_rate" NUMBER, "allergy_to_vitamin_c" BOOLEAN, "paco2" FLOAT, "immature_form" NUMBER, "mental_status" BOOLEAN, "respiratory_rate" NUMBER, "NOUSE" FLOAT)
| cardiovascular surgery patients receiving prophylactic peri operative antibiotics | SELECT * FROM table_train_58 WHERE surgery = 1 AND antibiotic_treatment = 1 | SELECT * FROM "table_train_58" WHERE "antibiotic_treatment" = 1 AND "surgery" = 1 | 0.079102 |
CREATE TABLE lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime TIME)
CREATE TABLE allergy (allergyid NUMBER, patientunitstayid NUMBER, drugname CLOB, allergyname CLOB, allergytime TIME)
CREATE TABLE patient (uniquepid CLOB, patienthealthsystemstayid NUMBER, patientunitstayid NUMBER, gender CLOB, age CLOB, ethnicity CLOB, hospitalid NUMBER, wardid NUMBER, admissionheight NUMBER, admissionweight NUMBER, dischargeweight NUMBER, hospitaladmittime TIME, hospitaladmitsource CLOB, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus CLOB)
CREATE TABLE medication (medicationid NUMBER, patientunitstayid NUMBER, drugname CLOB, dosage CLOB, routeadmin CLOB, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE cost (costid NUMBER, uniquepid CLOB, patienthealthsystemstayid NUMBER, eventtype CLOB, eventid NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE microlab (microlabid NUMBER, patientunitstayid NUMBER, culturesite CLOB, organism CLOB, culturetakentime TIME)
CREATE TABLE vitalperiodic (vitalperiodicid NUMBER, patientunitstayid NUMBER, temperature NUMBER, sao2 NUMBER, heartrate NUMBER, respiration NUMBER, systemicsystolic NUMBER, systemicdiastolic NUMBER, systemicmean NUMBER, observationtime TIME)
CREATE TABLE treatment (treatmentid NUMBER, patientunitstayid NUMBER, treatmentname CLOB, treatmenttime TIME)
CREATE TABLE 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)
| have dopamine ever been prescribed to patient 006-133605 in their current hospital visit? | SELECT COUNT(*) > 0 FROM medication WHERE medication.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '006-133605' AND patient.hospitaldischargetime IS NULL)) AND medication.drugname = 'dopamine' | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."hospitaldischargetime" IS NULL AND "patient"."uniquepid" = '006-133605' GROUP BY "patienthealthsystemstayid"), "_u_1" AS (SELECT "patient"."patientunitstayid" FROM "patient" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "patient"."patienthealthsystemstayid" WHERE NOT "_u_0"."" IS NULL GROUP BY "patientunitstayid") SELECT COUNT(*) > 0 FROM "medication" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "medication"."patientunitstayid" WHERE "medication"."drugname" = 'dopamine' AND NOT "_u_1"."" IS NULL | 0.566406 |
CREATE TABLE table_204_711 (id NUMBER, "dance" CLOB, "best dancer ( s ) " CLOB, "best score" NUMBER, "worst dancer ( s ) " CLOB, "worst score" NUMBER)
| how many dances at most scored at least 35 ? | SELECT COUNT("dance") FROM table_204_711 WHERE "best score" >= 35 | SELECT COUNT("dance") FROM "table_204_711" WHERE "best score" >= 35 | 0.06543 |
CREATE TABLE table_name_67 (win__number VARCHAR2, season VARCHAR2)
| How many wins were there in 2004-05? | SELECT win__number FROM table_name_67 WHERE season = "2004-05" | SELECT "win__number" FROM "table_name_67" WHERE "2004-05" = "season" | 0.066406 |
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE 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 lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
| Let me know the gender and health insurance of the patient with patient id 9575. | SELECT demographic.gender, demographic.insurance FROM demographic WHERE demographic.subject_id = "9575" | SELECT "demographic"."gender", "demographic"."insurance" FROM "demographic" WHERE "9575" = "demographic"."subject_id" | 0.114258 |
CREATE TABLE ReviewTaskStates (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE SuggestedEdits (Id NUMBER, PostId NUMBER, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId NUMBER, Comment CLOB, Text CLOB, Title CLOB, Tags CLOB, RevisionGUID other)
CREATE TABLE CloseAsOffTopicReasonTypes (Id NUMBER, IsUniversal BOOLEAN, InputTitle CLOB, MarkdownInputGuidance CLOB, MarkdownPostOwnerGuidance CLOB, MarkdownPrivilegedUserGuidance CLOB, MarkdownConcensusDescription CLOB, CreationDate TIME, CreationModeratorId NUMBER, ApprovalDate TIME, ApprovalModeratorId NUMBER, DeactivationDate TIME, DeactivationModeratorId NUMBER)
CREATE TABLE PostTypes (Id NUMBER, Name CLOB)
CREATE TABLE PostTags (PostId NUMBER, TagId 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 ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment CLOB)
CREATE TABLE PostHistoryTypes (Id NUMBER, Name CLOB)
CREATE TABLE PendingFlags (Id NUMBER, FlagTypeId NUMBER, PostId NUMBER, CreationDate TIME, CloseReasonTypeId NUMBER, CloseAsOffTopicReasonTypeId NUMBER, DuplicateOfQuestionId NUMBER, BelongsOnBaseHostAddress CLOB)
CREATE TABLE Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount NUMBER)
CREATE TABLE SuggestedEditVotes (Id NUMBER, SuggestedEditId NUMBER, UserId NUMBER, VoteTypeId NUMBER, CreationDate TIME, TargetUserId NUMBER, TargetRepChange NUMBER)
CREATE TABLE PostHistory (Id NUMBER, PostHistoryTypeId NUMBER, PostId NUMBER, RevisionGUID other, CreationDate TIME, UserId NUMBER, UserDisplayName CLOB, Comment CLOB, Text CLOB, ContentLicense CLOB)
CREATE TABLE TagSynonyms (Id NUMBER, SourceTagName CLOB, TargetTagName CLOB, CreationDate TIME, OwnerUserId NUMBER, AutoRenameCount NUMBER, LastAutoRename TIME, Score NUMBER, ApprovedByUserId NUMBER, ApprovalDate TIME)
CREATE TABLE ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId NUMBER)
CREATE TABLE PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
CREATE TABLE Posts (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId NUMBER)
CREATE TABLE PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId NUMBER)
CREATE TABLE FlagTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
CREATE TABLE ReviewTaskTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
CREATE TABLE PostsWithDeleted (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE ReviewTaskResultTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
CREATE TABLE Comments (Id NUMBER, PostId NUMBER, Score NUMBER, Text CLOB, CreationDate TIME, UserDisplayName CLOB, UserId NUMBER, ContentLicense CLOB)
CREATE TABLE CloseReasonTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
CREATE TABLE VoteTypes (Id NUMBER, Name CLOB)
| Test for Language Percentages over Time. | SELECT Name, YEAR(p.CreationDate) AS Year, MONTH(p.CreationDate) AS Month, COUNT(*) AS Posts, p.CommentCount AS CommentCount, p.Id AS ID FROM Posts AS p CROSS JOIN (VALUES ('C')) AS Language(Name) WHERE (SUBSTRING(p.Body, 0, STR_POSITION(p.Body, CHAR(10))) LIKE '%_>,\_' + name + ',_:\%') GROUP BY Name, YEAR(p.CreationDate), MONTH(p.CreationDate), p.CommentCount, p.Id | SELECT "Name", YEAR("p"."CreationDate") AS "Year", MONTH("p"."CreationDate") AS "Month", COUNT(*) AS "Posts", "p"."CommentCount" AS "CommentCount", "p"."Id" AS "ID" FROM "Posts" "p" CROSS JOIN (VALUES ('C')) AS "Language"("Name") WHERE SUBSTR("p"."Body", 0, STR_POSITION("p"."Body", CHR(10))) LIKE '%_>,\_' + "name" + ',_:\%' GROUP BY "Name", YEAR("p"."CreationDate"), MONTH("p"."CreationDate"), "p"."CommentCount", "p"."Id" | 0.414063 |
CREATE TABLE table_19365 ("Application" CLOB, "Version" CLOB, "Cmdlets" CLOB, "Provider" CLOB, "Management GUI" CLOB)
| Which providers use version 2008? | SELECT "Provider" FROM table_19365 WHERE "Version" = '2008' | SELECT "Provider" FROM "table_19365" WHERE "Version" = '2008' | 0.05957 |
CREATE TABLE Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
CREATE TABLE SuggestedEdits (Id NUMBER, PostId NUMBER, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId NUMBER, Comment CLOB, Text CLOB, Title CLOB, Tags CLOB, RevisionGUID other)
CREATE TABLE PostHistory (Id NUMBER, PostHistoryTypeId NUMBER, PostId NUMBER, RevisionGUID other, CreationDate TIME, UserId NUMBER, UserDisplayName CLOB, Comment CLOB, Text CLOB, ContentLicense CLOB)
CREATE TABLE ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment CLOB)
CREATE TABLE PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
CREATE TABLE ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId NUMBER)
CREATE TABLE CloseReasonTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE ReviewTaskStates (Id NUMBER, Name CLOB, Description 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 PostTags (PostId NUMBER, TagId NUMBER)
CREATE TABLE ReviewTaskResultTypes (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 Comments (Id NUMBER, PostId NUMBER, Score NUMBER, Text CLOB, CreationDate TIME, UserDisplayName CLOB, UserId NUMBER, ContentLicense CLOB)
CREATE TABLE ReviewTaskTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE FlagTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostTypes (Id NUMBER, Name CLOB)
CREATE TABLE PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId NUMBER)
CREATE TABLE TagSynonyms (Id NUMBER, SourceTagName CLOB, TargetTagName CLOB, CreationDate TIME, OwnerUserId NUMBER, AutoRenameCount NUMBER, LastAutoRename TIME, Score NUMBER, ApprovedByUserId NUMBER, ApprovalDate TIME)
CREATE TABLE SuggestedEditVotes (Id NUMBER, SuggestedEditId NUMBER, UserId NUMBER, VoteTypeId NUMBER, CreationDate TIME, TargetUserId NUMBER, TargetRepChange NUMBER)
CREATE TABLE ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
CREATE TABLE Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount NUMBER)
CREATE TABLE Posts (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE VoteTypes (Id NUMBER, Name CLOB)
CREATE TABLE Users (Id NUMBER, Reputation NUMBER, CreationDate TIME, DisplayName CLOB, LastAccessDate TIME, WebsiteUrl CLOB, Location CLOB, AboutMe CLOB, Views NUMBER, UpVotes NUMBER, DownVotes NUMBER, ProfileImageUrl CLOB, EmailHash CLOB, AccountId NUMBER)
CREATE TABLE CloseAsOffTopicReasonTypes (Id NUMBER, IsUniversal BOOLEAN, InputTitle CLOB, MarkdownInputGuidance CLOB, MarkdownPostOwnerGuidance CLOB, MarkdownPrivilegedUserGuidance CLOB, MarkdownConcensusDescription CLOB, CreationDate TIME, CreationModeratorId NUMBER, ApprovalDate TIME, ApprovalModeratorId NUMBER, DeactivationDate TIME, DeactivationModeratorId NUMBER)
CREATE TABLE PendingFlags (Id NUMBER, FlagTypeId NUMBER, PostId NUMBER, CreationDate TIME, CloseReasonTypeId NUMBER, CloseAsOffTopicReasonTypeId NUMBER, DuplicateOfQuestionId NUMBER, BelongsOnBaseHostAddress CLOB)
CREATE TABLE PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId NUMBER)
CREATE TABLE PostHistoryTypes (Id NUMBER, Name CLOB)
| Anonymous and Registered votes per user. | SELECT COUNT(VoteTypeId) AS Downvotes, Posts.Id AS "post_link" FROM PostFeedback LEFT JOIN Posts ON PostId = Posts.Id WHERE VoteTypeId = 3 GROUP BY Posts.Id ORDER BY Downvotes DESC | SELECT COUNT("VoteTypeId") AS "Downvotes", "Posts"."Id" AS "post_link" FROM "PostFeedback" LEFT JOIN "Posts" ON "PostId" = "Posts"."Id" WHERE "VoteTypeId" = 3 GROUP BY "Posts"."Id" ORDER BY "Downvotes" DESC | 0.201172 |
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)
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)
| what is the number of patients whose admission type is urgent and lab test name is asparate aminotransferase (ast)? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.admission_type = "URGENT" AND lab.label = "Asparate Aminotransferase (AST)" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "lab" ON "Asparate Aminotransferase (AST)" = "lab"."label" AND "demographic"."hadm_id" = "lab"."hadm_id" WHERE "URGENT" = "demographic"."admission_type" | 0.220703 |
CREATE TABLE table_56977 ("Rank" FLOAT, "Name" CLOB, "Nation" CLOB, "SP+FS" FLOAT, "Points" FLOAT, "Placings" FLOAT)
| What is the total number for Rank with 185.16 points and a SP+FS value greater than 5? | SELECT COUNT("Rank") FROM table_56977 WHERE "Points" = '185.16' AND "SP+FS" > '5' | SELECT COUNT("Rank") FROM "table_56977" WHERE "Points" = '185.16' AND "SP+FS" > '5' | 0.081055 |
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)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
| provide the number of patients whose admission type is urgent and diagnoses icd9 code is 41400? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.admission_type = "URGENT" AND diagnoses.icd9_code = "41400" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "41400" = "diagnoses"."icd9_code" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" WHERE "URGENT" = "demographic"."admission_type" | 0.216797 |
CREATE TABLE table_name_67 (japanese_title VARCHAR2, average_ratings VARCHAR2)
| What Japanese title had average ratings at 9.1%? | SELECT japanese_title FROM table_name_67 WHERE average_ratings = "9.1%" | SELECT "japanese_title" FROM "table_name_67" WHERE "9.1%" = "average_ratings" | 0.075195 |
CREATE TABLE table_58194 ("Home team" CLOB, "Home team score" CLOB, "Away team" CLOB, "Away team score" CLOB, "Venue" CLOB, "Crowd" FLOAT, "Date" CLOB)
| How large was the crowd when North Melbourne played as the away team? | SELECT "Crowd" FROM table_58194 WHERE "Away team" = 'north melbourne' | SELECT "Crowd" FROM "table_58194" WHERE "Away team" = 'north melbourne' | 0.069336 |
CREATE TABLE microlab (microlabid NUMBER, patientunitstayid NUMBER, culturesite CLOB, organism CLOB, culturetakentime TIME)
CREATE TABLE intakeoutput (intakeoutputid NUMBER, patientunitstayid NUMBER, cellpath CLOB, celllabel CLOB, cellvaluenumeric NUMBER, intakeoutputtime TIME)
CREATE TABLE allergy (allergyid NUMBER, patientunitstayid NUMBER, drugname CLOB, allergyname CLOB, allergytime TIME)
CREATE TABLE diagnosis (diagnosisid NUMBER, patientunitstayid NUMBER, diagnosisname CLOB, diagnosistime TIME, icd9code CLOB)
CREATE TABLE 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 patient (uniquepid CLOB, patienthealthsystemstayid NUMBER, patientunitstayid NUMBER, gender CLOB, age CLOB, ethnicity CLOB, hospitalid NUMBER, wardid NUMBER, admissionheight NUMBER, admissionweight NUMBER, dischargeweight NUMBER, hospitaladmittime TIME, hospitaladmitsource CLOB, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus CLOB)
CREATE TABLE lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime TIME)
CREATE TABLE vitalperiodic (vitalperiodicid NUMBER, patientunitstayid NUMBER, temperature NUMBER, sao2 NUMBER, heartrate NUMBER, respiration NUMBER, systemicsystolic NUMBER, systemicdiastolic NUMBER, systemicmean NUMBER, observationtime TIME)
CREATE TABLE cost (costid NUMBER, uniquepid CLOB, patienthealthsystemstayid NUMBER, eventtype CLOB, eventid NUMBER, chargetime TIME, cost NUMBER)
| what is the name of the drug which patient 004-29334 was allergic to since 03/2104? | SELECT allergy.drugname FROM allergy WHERE allergy.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '004-29334')) AND STRFTIME('%y-%m', allergy.allergytime) >= '2104-03' | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '004-29334' 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 "allergy"."drugname" FROM "allergy" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "allergy"."patientunitstayid" WHERE NOT "_u_1"."" IS NULL AND STRFTIME('%y-%m', "allergy"."allergytime") >= '2104-03' | 0.541016 |
CREATE TABLE d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
CREATE TABLE cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_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 patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
CREATE TABLE diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE procedures_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 labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE admissions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, admittime TIME, dischtime TIME, admission_type CLOB, admission_location CLOB, discharge_location CLOB, insurance CLOB, language CLOB, marital_status CLOB, ethnicity CLOB, age NUMBER)
CREATE TABLE d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
CREATE TABLE d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
CREATE TABLE 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 transfers (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, eventtype CLOB, careunit CLOB, wardid NUMBER, intime TIME, outtime TIME)
| was the ns prescribed to patient 27739 in 11/2103? | SELECT COUNT(*) > 0 FROM prescriptions WHERE prescriptions.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 27739) AND prescriptions.drug = 'ns' AND STRFTIME('%y-%m', prescriptions.startdate) = '2103-11' | WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 27739 GROUP BY "hadm_id") SELECT COUNT(*) > 0 FROM "prescriptions" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "prescriptions"."hadm_id" WHERE "prescriptions"."drug" = 'ns' AND NOT "_u_0"."" IS NULL AND STRFTIME('%y-%m', "prescriptions"."startdate") = '2103-11' | 0.345703 |
CREATE TABLE table_255812_1 (city___municipality VARCHAR2, mayor VARCHAR2)
| What are all the metropolis / municipality where mayor is helen c. De castro | SELECT city___municipality FROM table_255812_1 WHERE mayor = "Helen C. De Castro" | SELECT "city___municipality" FROM "table_255812_1" WHERE "Helen C. De Castro" = "mayor" | 0.084961 |
CREATE TABLE table_78893 ("Position" FLOAT, "Team" CLOB, "Played" FLOAT, "Drawn" FLOAT, "Lost" FLOAT, "Goals For" FLOAT, "Goals Against" FLOAT, "Goal Difference" CLOB, "Points 1" CLOB)
| What is the highest goals entry with drawn larger than 6 and goals against 85? | SELECT MAX("Goals For") FROM table_78893 WHERE "Goals Against" = '85' AND "Drawn" > '6' | SELECT MAX("Goals For") FROM "table_78893" WHERE "Drawn" > '6' AND "Goals Against" = '85' | 0.086914 |
CREATE TABLE diagnosis (diagnosisid NUMBER, patientunitstayid NUMBER, diagnosisname CLOB, diagnosistime TIME, icd9code CLOB)
CREATE TABLE patient (uniquepid CLOB, patienthealthsystemstayid NUMBER, patientunitstayid NUMBER, gender CLOB, age CLOB, ethnicity CLOB, hospitalid NUMBER, wardid NUMBER, admissionheight NUMBER, admissionweight NUMBER, dischargeweight NUMBER, hospitaladmittime TIME, hospitaladmitsource CLOB, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus CLOB)
CREATE TABLE 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 vitalperiodic (vitalperiodicid NUMBER, patientunitstayid NUMBER, temperature NUMBER, sao2 NUMBER, heartrate NUMBER, respiration NUMBER, systemicsystolic NUMBER, systemicdiastolic NUMBER, systemicmean NUMBER, observationtime TIME)
CREATE TABLE treatment (treatmentid NUMBER, patientunitstayid NUMBER, treatmentname CLOB, treatmenttime TIME)
CREATE TABLE intakeoutput (intakeoutputid NUMBER, patientunitstayid NUMBER, cellpath CLOB, celllabel CLOB, cellvaluenumeric NUMBER, intakeoutputtime TIME)
CREATE TABLE lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime TIME)
CREATE TABLE medication (medicationid NUMBER, patientunitstayid NUMBER, drugname CLOB, dosage CLOB, routeadmin CLOB, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE cost (costid NUMBER, uniquepid CLOB, patienthealthsystemstayid NUMBER, eventtype CLOB, eventid NUMBER, chargetime TIME, cost NUMBER)
| on the first intensive care unit visit the sao2 of patient 022-151182 was ever greater than 97.0? | SELECT COUNT(*) > 0 FROM vitalperiodic WHERE vitalperiodic.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '022-151182') AND NOT patient.unitdischargetime IS NULL ORDER BY patient.unitadmittime LIMIT 1) AND vitalperiodic.sao2 > 97.0 AND NOT vitalperiodic.sao2 IS NULL | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '022-151182' 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 AND NOT "patient"."unitdischargetime" IS NULL GROUP BY "patientunitstayid" ORDER BY "patient"."unitadmittime" FETCH FIRST 1 ROWS ONLY) SELECT COUNT(*) > 0 FROM "vitalperiodic" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "vitalperiodic"."patientunitstayid" WHERE "vitalperiodic"."sao2" > 97.0 AND NOT "_u_1"."" IS NULL AND NOT "vitalperiodic"."sao2" IS NULL | 0.661133 |
CREATE TABLE table_name_47 (record VARCHAR2, game VARCHAR2, result VARCHAR2, streak VARCHAR2)
| Which Record has a Result of win, and a Streak of won 1, and a Game of 47? | SELECT record FROM table_name_47 WHERE result = "win" AND streak = "won 1" AND game = 47 | SELECT "record" FROM "table_name_47" WHERE "game" = 47 AND "result" = "win" AND "streak" = "won 1" | 0.095703 |
CREATE TABLE vitalperiodic (vitalperiodicid NUMBER, patientunitstayid NUMBER, temperature NUMBER, sao2 NUMBER, heartrate NUMBER, respiration NUMBER, systemicsystolic NUMBER, systemicdiastolic NUMBER, systemicmean NUMBER, observationtime TIME)
CREATE TABLE medication (medicationid NUMBER, patientunitstayid NUMBER, drugname CLOB, dosage CLOB, routeadmin CLOB, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE intakeoutput (intakeoutputid NUMBER, patientunitstayid NUMBER, cellpath CLOB, celllabel CLOB, cellvaluenumeric NUMBER, intakeoutputtime TIME)
CREATE TABLE diagnosis (diagnosisid NUMBER, patientunitstayid NUMBER, diagnosisname CLOB, diagnosistime TIME, icd9code CLOB)
CREATE TABLE lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime TIME)
CREATE TABLE microlab (microlabid NUMBER, patientunitstayid NUMBER, culturesite CLOB, organism CLOB, culturetakentime TIME)
CREATE TABLE allergy (allergyid NUMBER, patientunitstayid NUMBER, drugname CLOB, allergyname CLOB, allergytime TIME)
CREATE TABLE patient (uniquepid CLOB, patienthealthsystemstayid NUMBER, patientunitstayid NUMBER, gender CLOB, age CLOB, ethnicity CLOB, hospitalid NUMBER, wardid NUMBER, admissionheight NUMBER, admissionweight NUMBER, dischargeweight NUMBER, hospitaladmittime TIME, hospitaladmitsource CLOB, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus CLOB)
CREATE TABLE cost (costid NUMBER, uniquepid CLOB, patienthealthsystemstayid NUMBER, eventtype CLOB, eventid NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE treatment (treatmentid NUMBER, patientunitstayid NUMBER, treatmentname CLOB, treatmenttime TIME)
| count the number of times patient 035-3496 had had a output y (ml)-chest tube y - a #1 right b #2 mid output since 133 months ago. | SELECT COUNT(*) FROM intakeoutput WHERE intakeoutput.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '035-3496')) AND intakeoutput.cellpath LIKE '%output%' AND intakeoutput.celllabel = 'output y (ml)-chest tube y - a #1 right b #2 mid' AND DATETIME(intakeoutput.intakeoutputtime) >= DATETIME(CURRENT_TIME(), '-133 month') | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '035-3496' GROUP BY "patienthealthsystemstayid"), "_u_1" AS (SELECT "patient"."patientunitstayid" FROM "patient" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "patient"."patienthealthsystemstayid" WHERE NOT "_u_0"."" IS NULL GROUP BY "patientunitstayid") SELECT COUNT(*) FROM "intakeoutput" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "intakeoutput"."patientunitstayid" WHERE "intakeoutput"."celllabel" = 'output y (ml)-chest tube y - a #1 right b #2 mid' AND "intakeoutput"."cellpath" LIKE '%output%' AND DATETIME("intakeoutput"."intakeoutputtime") >= DATETIME(CURRENT_TIME(), '-133 month') AND NOT "_u_1"."" IS NULL | 0.694336 |
CREATE TABLE ndecoreexcel_math_grade8 (year NUMBER, state CLOB, all_students CLOB, average_scale_score NUMBER)
CREATE TABLE finrev_fed_key_17 (state_code NUMBER, state CLOB)
CREATE TABLE finrev_fed_17 (state_code NUMBER, idcensus NUMBER, school_district CLOB, nces_id CLOB, yr_data NUMBER, t_fed_rev NUMBER, c14 NUMBER, c25 NUMBER)
| What is the average match score of CA? | SELECT average_scale_score FROM ndecoreexcel_math_grade8 WHERE state = "California" | SELECT "average_scale_score" FROM "ndecoreexcel_math_grade8" WHERE "California" = "state" | 0.086914 |
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