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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 inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
CREATE TABLE admissions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, admittime TIME, dischtime TIME, admission_type CLOB, admission_location CLOB, discharge_location CLOB, insurance CLOB, language CLOB, marital_status CLOB, ethnicity CLOB, age NUMBER)
CREATE TABLE labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
CREATE TABLE outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
CREATE TABLE cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE icustays (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, first_careunit CLOB, last_careunit CLOB, first_wardid NUMBER, last_wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
CREATE TABLE prescriptions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, startdate TIME, enddate TIME, drug CLOB, dose_val_rx CLOB, dose_unit_rx CLOB, route CLOB)
CREATE TABLE patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
CREATE TABLE d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
| what are the five most frequent output event during a year before? | SELECT d_items.label FROM d_items WHERE d_items.itemid IN (SELECT t1.itemid FROM (SELECT outputevents.itemid, DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS c1 FROM outputevents WHERE DATETIME(outputevents.charttime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year') GROUP BY outputevents.itemid) AS t1 WHERE t1.c1 <= 5) | WITH "t1" AS (SELECT "outputevents"."itemid", DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS "c1" FROM "outputevents" WHERE DATETIME("outputevents"."charttime", 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year') GROUP BY "outputevents"."itemid"), "_u_0" AS (SELECT "t1"."itemid" FROM "t1" "t1" WHERE "t1"."c1" <= 5 GROUP BY "itemid") SELECT "d_items"."label" FROM "d_items" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "d_items"."itemid" WHERE NOT "_u_0"."" IS NULL | 0.467773 |
CREATE TABLE table_7054 ("Country" CLOB, "Host" CLOB, "Channel" CLOB, "Premiere" CLOB, "Jackpot" CLOB)
| Which channel comes out of Israel? | SELECT "Channel" FROM table_7054 WHERE "Country" = 'israel' | SELECT "Channel" FROM "table_7054" WHERE "Country" = 'israel' | 0.05957 |
CREATE TABLE treatment (treatmentid NUMBER, patientunitstayid NUMBER, treatmentname CLOB, treatmenttime TIME)
CREATE TABLE medication (medicationid NUMBER, patientunitstayid NUMBER, drugname CLOB, dosage CLOB, routeadmin CLOB, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE microlab (microlabid NUMBER, patientunitstayid NUMBER, culturesite CLOB, organism CLOB, culturetakentime TIME)
CREATE TABLE diagnosis (diagnosisid NUMBER, patientunitstayid NUMBER, diagnosisname CLOB, diagnosistime TIME, icd9code CLOB)
CREATE TABLE vitalperiodic (vitalperiodicid NUMBER, patientunitstayid NUMBER, temperature NUMBER, sao2 NUMBER, heartrate NUMBER, respiration NUMBER, systemicsystolic NUMBER, systemicdiastolic NUMBER, systemicmean NUMBER, observationtime TIME)
CREATE TABLE allergy (allergyid NUMBER, patientunitstayid NUMBER, drugname CLOB, allergyname CLOB, allergytime TIME)
CREATE TABLE cost (costid NUMBER, uniquepid CLOB, patienthealthsystemstayid NUMBER, eventtype CLOB, eventid NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime TIME)
CREATE TABLE patient (uniquepid CLOB, patienthealthsystemstayid NUMBER, patientunitstayid NUMBER, gender CLOB, age CLOB, ethnicity CLOB, hospitalid NUMBER, wardid NUMBER, admissionheight NUMBER, admissionweight NUMBER, dischargeweight NUMBER, hospitaladmittime TIME, hospitaladmitsource CLOB, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus CLOB)
CREATE TABLE intakeoutput (intakeoutputid NUMBER, patientunitstayid NUMBER, cellpath CLOB, celllabel CLOB, cellvaluenumeric NUMBER, intakeoutputtime TIME)
| indicate the monthly average volume of ventrculostomy#1 that patient 006-171217 has had on the first hospital encounter. | SELECT AVG(intakeoutput.cellvaluenumeric) FROM intakeoutput WHERE intakeoutput.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '006-171217' AND NOT patient.hospitaldischargetime IS NULL ORDER BY patient.hospitaladmittime LIMIT 1)) AND intakeoutput.celllabel = 'ventrculostomy#1' AND intakeoutput.cellpath LIKE '%output%' GROUP BY STRFTIME('%y-%m', intakeoutput.intakeoutputtime) | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '006-171217' AND NOT "patient"."hospitaldischargetime" IS NULL GROUP BY "patienthealthsystemstayid" ORDER BY "patient"."hospitaladmittime" FETCH FIRST 1 ROWS ONLY), "_u_1" AS (SELECT "patient"."patientunitstayid" FROM "patient" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "patient"."patienthealthsystemstayid" WHERE NOT "_u_0"."" IS NULL GROUP BY "patientunitstayid") SELECT AVG("intakeoutput"."cellvaluenumeric") FROM "intakeoutput" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "intakeoutput"."patientunitstayid" WHERE "intakeoutput"."celllabel" = 'ventrculostomy#1' AND "intakeoutput"."cellpath" LIKE '%output%' AND NOT "_u_1"."" IS NULL GROUP BY STRFTIME('%y-%m', "intakeoutput"."intakeoutputtime") | 0.777344 |
CREATE TABLE table_16906 ("Model number" CLOB, "sSpec number" CLOB, "Frequency" CLOB, "L2 cache" CLOB, "FSB" CLOB, "Mult." CLOB, "Voltage" CLOB, "TDP" CLOB, "Socket" CLOB, "Release date" CLOB, "Part number ( s ) " CLOB, "Release price ( USD ) " CLOB)
| What is the frequency of the model with part number lf80537gf0411m? | SELECT "Frequency" FROM table_16906 WHERE "Part number(s)" = 'LF80537GF0411M' | SELECT "Frequency" FROM "table_16906" WHERE "Part number(s)" = 'LF80537GF0411M' | 0.077148 |
CREATE TABLE table_50079 ("Date" CLOB, "Visitor" CLOB, "Score" CLOB, "Home" CLOB, "Record" CLOB, "Points" FLOAT)
| What is the record of the game with 35 points and pittsburgh as the home team? | SELECT "Record" FROM table_50079 WHERE "Home" = 'pittsburgh' AND "Points" = '35' | SELECT "Record" FROM "table_50079" WHERE "Home" = 'pittsburgh' AND "Points" = '35' | 0.080078 |
CREATE TABLE table_14256 ("Model number" CLOB, "sSpec number" CLOB, "Cores" FLOAT, "Frequency" CLOB, "Turbo" CLOB, "L2 cache" CLOB, "L3 cache" CLOB, "GPU model" CLOB, "GPU frequency" CLOB, "Socket" CLOB, "I/O bus" CLOB, "Release date" CLOB, "Part number ( s ) " CLOB, "Release price ( USD ) " CLOB)
| what is the gpu frequency when the part number is cw8064701470702? | SELECT "GPU frequency" FROM table_14256 WHERE "Part number(s)" = 'cw8064701470702' | SELECT "GPU frequency" FROM "table_14256" WHERE "Part number(s)" = 'cw8064701470702' | 0.082031 |
CREATE TABLE prescriptions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, startdate TIME, enddate TIME, drug CLOB, dose_val_rx CLOB, dose_unit_rx CLOB, route CLOB)
CREATE TABLE d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE d_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 inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
CREATE TABLE microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
CREATE TABLE cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost 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 icustays (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, first_careunit CLOB, last_careunit CLOB, first_wardid NUMBER, last_wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE 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 labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
CREATE TABLE procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
| among patients who were prescribed critic-aid skin paste, what are the three most commonly ordered drugs at the same time? | SELECT t3.drug FROM (SELECT t2.drug, DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS c1 FROM (SELECT admissions.subject_id, prescriptions.startdate FROM prescriptions JOIN admissions ON prescriptions.hadm_id = admissions.hadm_id WHERE prescriptions.drug = 'critic-aid skin paste') AS t1 JOIN (SELECT admissions.subject_id, prescriptions.drug, prescriptions.startdate FROM prescriptions JOIN admissions ON prescriptions.hadm_id = admissions.hadm_id) AS t2 ON t1.subject_id = t2.subject_id WHERE DATETIME(t1.startdate) = DATETIME(t2.startdate) GROUP BY t2.drug) AS t3 WHERE t3.c1 <= 3 | WITH "t2" AS (SELECT "admissions"."subject_id", "prescriptions"."drug", "prescriptions"."startdate" FROM "prescriptions" JOIN "admissions" ON "admissions"."hadm_id" = "prescriptions"."hadm_id"), "t3" AS (SELECT "t2"."drug", DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS "c1" FROM "prescriptions" JOIN "admissions" ON "admissions"."hadm_id" = "prescriptions"."hadm_id" JOIN "t2" "t2" ON "admissions"."subject_id" = "t2"."subject_id" AND DATETIME("prescriptions"."startdate") = DATETIME("t2"."startdate") WHERE "prescriptions"."drug" = 'critic-aid skin paste' GROUP BY "t2"."drug") SELECT "t3"."drug" FROM "t3" "t3" WHERE "t3"."c1" <= 3 | 0.619141 |
CREATE TABLE PostHistoryTypes (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 Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
CREATE TABLE PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId NUMBER)
CREATE TABLE 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 SuggestedEditVotes (Id NUMBER, SuggestedEditId NUMBER, UserId NUMBER, VoteTypeId NUMBER, CreationDate TIME, TargetUserId NUMBER, TargetRepChange NUMBER)
CREATE TABLE PostTags (PostId NUMBER, TagId NUMBER)
CREATE TABLE PostsWithDeleted (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE TagSynonyms (Id NUMBER, SourceTagName CLOB, TargetTagName CLOB, CreationDate TIME, OwnerUserId NUMBER, AutoRenameCount NUMBER, LastAutoRename TIME, Score NUMBER, ApprovedByUserId NUMBER, ApprovalDate TIME)
CREATE TABLE PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId NUMBER)
CREATE TABLE PostTypes (Id NUMBER, Name CLOB)
CREATE TABLE Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount NUMBER)
CREATE TABLE Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
CREATE TABLE FlagTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
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 CloseReasonTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment CLOB)
CREATE TABLE Posts (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE ReviewTaskResultTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE VoteTypes (Id NUMBER, Name CLOB)
CREATE TABLE ReviewTaskStates (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE ReviewTaskTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId NUMBER)
CREATE TABLE 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 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 PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
| Find images not on imgur by active date. Finds all posts that have embedded images, but do not contain 'imgur.com'. Useful for finding old posts with images that may need uploading to imgur or are already broken. Sorted by last activity because of the Archaeologist badge. | SELECT Score, Id AS "post_link" FROM Posts AS Q WHERE Body LIKE '%<img src%' AND NOT Body LIKE '%imgur.com/%' ORDER BY LastActivityDate DESC | SELECT "Score", "Id" AS "post_link" FROM "Posts" "Q" WHERE "Body" LIKE '%<img src%' AND NOT "Body" LIKE '%imgur.com/%' ORDER BY "LastActivityDate" DESC | 0.147461 |
CREATE TABLE table_18205 ("District" CLOB, "Incumbent" CLOB, "Party" CLOB, "First elected" FLOAT, "Status" CLOB, "Opponent" CLOB)
| What parties are represented in Massachusetts4 district? | SELECT "Party" FROM table_18205 WHERE "District" = 'Massachusetts4' | SELECT "Party" FROM "table_18205" WHERE "District" = 'Massachusetts4' | 0.067383 |
CREATE TABLE table_28284 ("Year" FLOAT, "Population" FLOAT, "Total" FLOAT, "Violent" FLOAT, "Property Crimes" FLOAT, "Forcible rape" FLOAT, "Robbery" FLOAT, "Aggravated assault" FLOAT, "Burglary" FLOAT, "Larceny Theft" FLOAT, "Vehicle Theft" FLOAT)
| How many burglary crimes were committed if the forcible rapes were 1233? | SELECT "Burglary" FROM table_28284 WHERE "Forcible rape" = '1233' | SELECT "Burglary" FROM "table_28284" WHERE "Forcible rape" = '1233' | 0.06543 |
CREATE TABLE table_70230 ("Year" FLOAT, "Date" CLOB, "Winner" CLOB, "Result" CLOB, "Loser" CLOB, "Location" CLOB)
| What is the Location, when the Winner is the Baltimore Colts, when the Year is before 1972, and when the Result is 14-6? | SELECT "Location" FROM table_70230 WHERE "Winner" = 'baltimore colts' AND "Year" < '1972' AND "Result" = '14-6' | SELECT "Location" FROM "table_70230" WHERE "Result" = '14-6' AND "Winner" = 'baltimore colts' AND "Year" < '1972' | 0.110352 |
CREATE TABLE table_71660 ("Date" CLOB, "Home captain" CLOB, "Away captain" CLOB, "Venue" CLOB, "Result" CLOB)
| Who was the Away captain for the Test match of Australia in England where the Result was AUS by 264 runs? | SELECT "Away captain" FROM table_71660 WHERE "Result" = 'aus by 264 runs' | SELECT "Away captain" FROM "table_71660" WHERE "Result" = 'aus by 264 runs' | 0.073242 |
CREATE TABLE table_2562572_30 (cyrillic_name_other_names VARCHAR2, settlement VARCHAR2)
| What is the cyrillic and other name of rabe? | SELECT cyrillic_name_other_names FROM table_2562572_30 WHERE settlement = "Rabe" | SELECT "cyrillic_name_other_names" FROM "table_2562572_30" WHERE "Rabe" = "settlement" | 0.083984 |
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE 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 patients were diagnosed with unspecified essential hypertension? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE diagnoses.long_title = "Unspecified essential hypertension" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "Unspecified essential hypertension" = "diagnoses"."long_title" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" | 0.199219 |
CREATE TABLE table_name_97 (school VARCHAR2, position VARCHAR2)
| What School is the Center from? | SELECT school FROM table_name_97 WHERE position = "center" | SELECT "school" FROM "table_name_97" WHERE "center" = "position" | 0.0625 |
CREATE TABLE table_name_75 (drawn VARCHAR2, tries_against VARCHAR2)
| What is the draw when the tries against was 69? | SELECT drawn FROM table_name_75 WHERE tries_against = "69" | SELECT "drawn" FROM "table_name_75" WHERE "69" = "tries_against" | 0.0625 |
CREATE TABLE course_tags_count (course_id NUMBER, clear_grading NUMBER, pop_quiz NUMBER, group_projects NUMBER, inspirational NUMBER, long_lectures NUMBER, extra_credit NUMBER, few_tests NUMBER, good_feedback NUMBER, tough_tests NUMBER, heavy_papers NUMBER, cares_for_students NUMBER, heavy_assignments NUMBER, respected NUMBER, participation NUMBER, heavy_reading NUMBER, tough_grader NUMBER, hilarious NUMBER, would_take_again NUMBER, good_lecture NUMBER, no_skip NUMBER)
CREATE TABLE student_record (student_id NUMBER, course_id NUMBER, semester NUMBER, grade VARCHAR2, how VARCHAR2, transfer_source VARCHAR2, earn_credit VARCHAR2, repeat_term VARCHAR2, test_id VARCHAR2)
CREATE TABLE instructor (instructor_id NUMBER, name VARCHAR2, uniqname VARCHAR2)
CREATE TABLE ta (campus_job_id NUMBER, student_id NUMBER, location VARCHAR2)
CREATE TABLE course (course_id NUMBER, name VARCHAR2, department VARCHAR2, number VARCHAR2, credits VARCHAR2, advisory_requirement VARCHAR2, enforced_requirement VARCHAR2, description VARCHAR2, num_semesters NUMBER, num_enrolled NUMBER, has_discussion VARCHAR2, has_lab VARCHAR2, has_projects VARCHAR2, has_exams VARCHAR2, num_reviews NUMBER, clarity_score NUMBER, easiness_score NUMBER, helpfulness_score NUMBER)
CREATE TABLE semester (semester_id NUMBER, semester VARCHAR2, year NUMBER)
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 offering_instructor (offering_instructor_id NUMBER, offering_id NUMBER, instructor_id NUMBER)
CREATE TABLE course_offering (offering_id NUMBER, course_id NUMBER, semester NUMBER, section_number NUMBER, start_time TIME, end_time TIME, monday VARCHAR2, tuesday VARCHAR2, wednesday VARCHAR2, thursday VARCHAR2, friday VARCHAR2, saturday VARCHAR2, sunday VARCHAR2, has_final_project VARCHAR2, has_final_exam VARCHAR2, textbook VARCHAR2, class_address VARCHAR2, allow_audit VARCHAR2)
CREATE TABLE program (program_id NUMBER, name VARCHAR2, college VARCHAR2, introduction VARCHAR2)
CREATE TABLE course_prerequisite (pre_course_id NUMBER, course_id NUMBER)
CREATE TABLE jobs (job_id NUMBER, job_title VARCHAR2, description VARCHAR2, requirement VARCHAR2, city VARCHAR2, state VARCHAR2, country VARCHAR2, zip NUMBER)
CREATE TABLE requirement (requirement_id NUMBER, requirement VARCHAR2, college VARCHAR2)
CREATE TABLE comment_instructor (instructor_id NUMBER, student_id NUMBER, score NUMBER, comment_text VARCHAR2)
CREATE TABLE program_course (program_id NUMBER, course_id NUMBER, workload NUMBER, category VARCHAR2)
CREATE TABLE program_requirement (program_id NUMBER, category VARCHAR2, min_credit NUMBER, additional_req VARCHAR2)
CREATE TABLE gsi (course_offering_id NUMBER, student_id NUMBER)
| Is Dr. Jennifer Hardacker teaching any classes next semester ? | SELECT DISTINCT course.department, course.name, course.number FROM course, course_offering, instructor, offering_instructor, semester WHERE course.course_id = course_offering.course_id AND instructor.name LIKE '%Jennifer Hardacker%' AND offering_instructor.instructor_id = instructor.instructor_id AND offering_instructor.offering_id = course_offering.offering_id AND semester.semester = 'FA' AND semester.semester_id = course_offering.semester AND semester.year = 2016 | SELECT DISTINCT "course"."department", "course"."name", "course"."number" FROM "course" JOIN "course_offering" ON "course"."course_id" = "course_offering"."course_id" JOIN "offering_instructor" ON "course_offering"."offering_id" = "offering_instructor"."offering_id" JOIN "semester" ON "course_offering"."semester" = "semester"."semester_id" AND "semester"."semester" = 'FA' AND "semester"."year" = 2016 JOIN "instructor" ON "instructor"."instructor_id" = "offering_instructor"."instructor_id" AND "instructor"."name" LIKE '%Jennifer Hardacker%' | 0.532227 |
CREATE TABLE table_9647 ("Res." CLOB, "Record" CLOB, "Opponent" CLOB, "Method" CLOB, "Round" FLOAT, "Time" CLOB, "Location" CLOB)
| What is Round, when Method is 'submission (reverse armbar)'? | SELECT "Round" FROM table_9647 WHERE "Method" = 'submission (reverse armbar)' | SELECT "Round" FROM "table_9647" WHERE "Method" = 'submission (reverse armbar)' | 0.077148 |
CREATE TABLE club_rank (Rank FLOAT, Club_ID NUMBER, Gold FLOAT, Silver FLOAT, Bronze FLOAT, Total FLOAT)
CREATE TABLE player (Player_ID NUMBER, name CLOB, Position CLOB, Club_ID NUMBER, Apps FLOAT, Tries FLOAT, Goals CLOB, Points FLOAT)
CREATE TABLE competition_result (Competition_ID NUMBER, Club_ID_1 NUMBER, Club_ID_2 NUMBER, Score CLOB)
CREATE TABLE club (Club_ID NUMBER, name CLOB, Region CLOB, Start_year CLOB)
CREATE TABLE competition (Competition_ID NUMBER, Year FLOAT, Competition_type CLOB, Country CLOB)
| Compare the total number of competitions for each country, rank Country in ascending order. | SELECT Country, COUNT(Country) FROM competition GROUP BY Country ORDER BY Country | SELECT "Country", COUNT("Country") FROM "competition" GROUP BY "Country" ORDER BY "Country" | 0.088867 |
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
| how many patients whose diagnoses short title is chr airway obstruct nec? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE diagnoses.short_title = "Chr airway obstruct NEC" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "Chr airway obstruct NEC" = "diagnoses"."short_title" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" | 0.189453 |
CREATE TABLE table_name_33 (equatorial_diameter VARCHAR2, body VARCHAR2)
| What is the Equatorial diameter of the Body: ceres? | SELECT equatorial_diameter FROM table_name_33 WHERE body = "ceres" | SELECT "equatorial_diameter" FROM "table_name_33" WHERE "body" = "ceres" | 0.070313 |
CREATE TABLE Manufacturers (Code NUMBER, Name VARCHAR2, Headquarter VARCHAR2, Founder VARCHAR2, Revenue FLOAT)
CREATE TABLE Products (Code NUMBER, Name VARCHAR2, Price NUMBER, Manufacturer NUMBER)
| Find the number of products for each manufacturer, showing the name of each company Show bar chart, and sort by the Y-axis in ascending. | SELECT T2.Name, COUNT(*) FROM Products AS T1 JOIN Manufacturers AS T2 ON T1.Manufacturer = T2.Code GROUP BY T2.Name ORDER BY COUNT(*) | SELECT "T2"."Name", COUNT(*) FROM "Products" "T1" JOIN "Manufacturers" "T2" ON "T1"."Manufacturer" = "T2"."Code" GROUP BY "T2"."Name" ORDER BY COUNT(*) | 0.147461 |
CREATE TABLE table_55093 ("Title" CLOB, "Year" FLOAT, "Country" CLOB, "Music" CLOB, "Uncut run time" CLOB)
| What music is in the film before 1963? | SELECT "Music" FROM table_55093 WHERE "Year" < '1963' | SELECT "Music" FROM "table_55093" WHERE "Year" < '1963' | 0.053711 |
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
| How many of the female patients belonged to a black/cape verdean ethnic origin? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.gender = "F" AND demographic.ethnicity = "BLACK/CAPE VERDEAN" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "BLACK/CAPE VERDEAN" = "demographic"."ethnicity" AND "F" = "demographic"."gender" | 0.152344 |
CREATE TABLE table_29165 ("Chambering" CLOB, "P1 diameter ( mm ) " CLOB, "A external ( cm 2 ) " CLOB, "P max ( bar ) " FLOAT, "F bolt ( kgf ) " FLOAT, "F bolt" CLOB)
| What is the p max (bar) of the pistol with a P1 diameter of 9.70 mm? | SELECT "P max ( bar )" FROM table_29165 WHERE "P1 diameter (mm)" = '9.70' | SELECT "P max ( bar )" FROM "table_29165" WHERE "P1 diameter (mm)" = '9.70' | 0.073242 |
CREATE TABLE table_57446 ("Home team" CLOB, "Home team score" CLOB, "Away team" CLOB, "Away team score" CLOB, "Venue" CLOB, "Crowd" FLOAT, "Date" CLOB)
| Which date has an Away team score of 11.11 (77)? | SELECT "Date" FROM table_57446 WHERE "Away team score" = '11.11 (77)' | SELECT "Date" FROM "table_57446" WHERE "Away team score" = '11.11 (77)' | 0.069336 |
CREATE TABLE table_name_75 (rank NUMBER, total VARCHAR2, bronze VARCHAR2, gold VARCHAR2, silver VARCHAR2)
| What is the lowest rank with less than 1 gold, 0 silver, 1 bronze, and a total less than 1? | SELECT MIN(rank) FROM table_name_75 WHERE gold < 1 AND silver = 0 AND bronze = 1 AND total < 1 | SELECT MIN("rank") FROM "table_name_75" WHERE "bronze" = 1 AND "gold" < 1 AND "silver" = 0 AND "total" < 1 | 0.103516 |
CREATE TABLE table_name_6 (name VARCHAR2, avg_g VARCHAR2)
| Who averaged 201.3 yards passing per game? | SELECT name FROM table_name_6 WHERE avg_g = 201.3 | SELECT "name" FROM "table_name_6" WHERE "avg_g" = 201.3 | 0.053711 |
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 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)
| what is the date of birth and admission type of James Sloan? | SELECT demographic.dob, demographic.admission_type FROM demographic WHERE demographic.name = "James Sloan" | SELECT "demographic"."dob", "demographic"."admission_type" FROM "demographic" WHERE "James Sloan" = "demographic"."name" | 0.117188 |
CREATE TABLE table_name_56 (nationality VARCHAR2, player VARCHAR2)
| Dave Curry has what Nationality? | SELECT nationality FROM table_name_56 WHERE player = "dave curry" | SELECT "nationality" FROM "table_name_56" WHERE "dave curry" = "player" | 0.069336 |
CREATE TABLE table_name_52 (crowd NUMBER, away_team VARCHAR2)
| What was the largest crowd of a game where Collingwood was the away team? | SELECT MAX(crowd) FROM table_name_52 WHERE away_team = "collingwood" | SELECT MAX("crowd") FROM "table_name_52" WHERE "away_team" = "collingwood" | 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 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)
| what is the number of patients whose ethnicity is white and diagnoses icd9 code is 41512? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.ethnicity = "WHITE" AND diagnoses.icd9_code = "41512" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "41512" = "diagnoses"."icd9_code" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" WHERE "WHITE" = "demographic"."ethnicity" | 0.210938 |
CREATE TABLE table_33797 ("Week" FLOAT, "Date" CLOB, "Opponent" CLOB, "Result" CLOB, "Attendance" FLOAT)
| Who did the Browns play on October 13, 1968? | SELECT "Opponent" FROM table_33797 WHERE "Date" = 'october 13, 1968' | SELECT "Opponent" FROM "table_33797" WHERE "Date" = 'october 13, 1968' | 0.068359 |
CREATE TABLE table_38518 ("Date" CLOB, "Tournament" CLOB, "Winning score" CLOB, "Margin of victory" CLOB, "Runner ( s ) -up" CLOB)
| Which Tournament has a Winning score of e (72-69-71-68=280)? | SELECT "Tournament" FROM table_38518 WHERE "Winning score" = 'e (72-69-71-68=280)' | SELECT "Tournament" FROM "table_38518" WHERE "Winning score" = 'e (72-69-71-68=280)' | 0.082031 |
CREATE TABLE table_49150 ("Pick #" FLOAT, "CFL Team" CLOB, "Player" CLOB, "Position" CLOB, "College" CLOB)
| How many times is the player scott deibert? | SELECT COUNT("Pick #") FROM table_49150 WHERE "Player" = 'scott deibert' | SELECT COUNT("Pick #") FROM "table_49150" WHERE "Player" = 'scott deibert' | 0.072266 |
CREATE TABLE table_42017 ("Name" CLOB, "Total" CLOB, "League" CLOB, "Canadian Championship" CLOB, "CONCACAF Champions League" CLOB)
| What Canadian Championship has 84 (4) as the league? | SELECT "Canadian Championship" FROM table_42017 WHERE "League" = '84 (4)' | SELECT "Canadian Championship" FROM "table_42017" WHERE "League" = '84 (4)' | 0.073242 |
CREATE TABLE table_204_387 (id NUMBER, "name" CLOB, "country" CLOB, "top rugby league level" CLOB, "top union level" CLOB, "top representation level" CLOB, "rugby league debut" NUMBER, "rugby union debut" NUMBER)
| whose name is listed before chris ashton ? | SELECT "name" FROM table_204_387 WHERE id = (SELECT id FROM table_204_387 WHERE "name" = 'chris ashton') - 1 | SELECT "name" FROM "table_204_387" WHERE "id" = (SELECT "id" FROM "table_204_387" WHERE "name" = 'chris ashton') - 1 | 0.113281 |
CREATE TABLE d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
CREATE TABLE 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 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_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
CREATE TABLE d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE 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 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 outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
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 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)
| tell me the three most common intakes in 2100? | SELECT d_items.label FROM d_items WHERE d_items.itemid IN (SELECT t1.itemid FROM (SELECT inputevents_cv.itemid, DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS c1 FROM inputevents_cv WHERE STRFTIME('%y', inputevents_cv.charttime) = '2100' GROUP BY inputevents_cv.itemid) AS t1 WHERE t1.c1 <= 3) | WITH "t1" AS (SELECT "inputevents_cv"."itemid", DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS "c1" FROM "inputevents_cv" WHERE STRFTIME('%y', "inputevents_cv"."charttime") = '2100' GROUP BY "inputevents_cv"."itemid"), "_u_0" AS (SELECT "t1"."itemid" FROM "t1" "t1" WHERE "t1"."c1" <= 3 GROUP BY "itemid") SELECT "d_items"."label" FROM "d_items" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "d_items"."itemid" WHERE NOT "_u_0"."" IS NULL | 0.419922 |
CREATE TABLE locations (LOCATION_ID NUMBER, STREET_ADDRESS VARCHAR2, POSTAL_CODE VARCHAR2, CITY VARCHAR2, STATE_PROVINCE VARCHAR2, COUNTRY_ID VARCHAR2)
CREATE TABLE countries (COUNTRY_ID VARCHAR2, COUNTRY_NAME VARCHAR2, REGION_ID NUMBER)
CREATE TABLE employees (EMPLOYEE_ID NUMBER, FIRST_NAME VARCHAR2, LAST_NAME VARCHAR2, EMAIL VARCHAR2, PHONE_NUMBER VARCHAR2, HIRE_DATE DATE, JOB_ID VARCHAR2, SALARY NUMBER, COMMISSION_PCT NUMBER, MANAGER_ID NUMBER, DEPARTMENT_ID NUMBER)
CREATE TABLE departments (DEPARTMENT_ID NUMBER, DEPARTMENT_NAME VARCHAR2, MANAGER_ID NUMBER, LOCATION_ID NUMBER)
CREATE TABLE jobs (JOB_ID VARCHAR2, JOB_TITLE VARCHAR2, MIN_SALARY NUMBER, MAX_SALARY NUMBER)
CREATE TABLE regions (REGION_ID NUMBER, REGION_NAME VARCHAR2)
CREATE TABLE job_history (EMPLOYEE_ID NUMBER, START_DATE DATE, END_DATE DATE, JOB_ID VARCHAR2, DEPARTMENT_ID NUMBER)
| For those employees who do not work in departments with managers that have ids between 100 and 200, draw a bar chart about the distribution of email and commission_pct , sort X-axis in asc order. | SELECT EMAIL, COMMISSION_PCT FROM employees WHERE NOT DEPARTMENT_ID IN (SELECT DEPARTMENT_ID FROM departments WHERE MANAGER_ID BETWEEN 100 AND 200) ORDER BY EMAIL | SELECT "EMAIL", "COMMISSION_PCT" FROM "employees" WHERE NOT "DEPARTMENT_ID" IN (SELECT "DEPARTMENT_ID" FROM "departments" WHERE "MANAGER_ID" <= 200 AND "MANAGER_ID" >= 100) ORDER BY "EMAIL" | 0.18457 |
CREATE TABLE table_204_346 (id NUMBER, "#" NUMBER, "date" CLOB, "venue" CLOB, "opponent" CLOB, "result" CLOB, "competition" CLOB, "scored" NUMBER)
| what was the opponent who barr scored against whom she had scored against before ? | SELECT "opponent" FROM table_204_346 GROUP BY "opponent" HAVING COUNT(*) > 1 | SELECT "opponent" FROM "table_204_346" GROUP BY "opponent" HAVING COUNT(*) > 1 | 0.076172 |
CREATE TABLE table_12310814_1 (original_artist VARCHAR2, episode VARCHAR2)
| What's the original artist of the song performed in the top 3 episode? | SELECT original_artist FROM table_12310814_1 WHERE episode = "Top 3" | SELECT "original_artist" FROM "table_12310814_1" WHERE "Top 3" = "episode" | 0.072266 |
CREATE TABLE table_204_961 (id NUMBER, "title" CLOB, "director" CLOB, "production" CLOB, "music" CLOB, "cast" CLOB, "release date" CLOB)
| what was the previous film produced before devakanya ? | SELECT "title" FROM table_204_961 WHERE id = (SELECT id FROM table_204_961 WHERE "title" = 'devakanya') - 1 | SELECT "title" FROM "table_204_961" WHERE "id" = (SELECT "id" FROM "table_204_961" WHERE "title" = 'devakanya') - 1 | 0.112305 |
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)
| count the number of patients who have stayed in the hospital for more than 23 days with a drug name phenylephrine hcl. | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.admission_location = "TRSF WITHIN THIS FACILITY" AND prescriptions.drug = "Prismasate (B22 K4)" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "prescriptions" ON "Prismasate (B22 K4)" = "prescriptions"."drug" AND "demographic"."hadm_id" = "prescriptions"."hadm_id" WHERE "TRSF WITHIN THIS FACILITY" = "demographic"."admission_location" | 0.259766 |
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE 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)
| How many white patients are diagnosed with unspecified hypertensive chronic kidney disease with chronic kidney disease stage v or end stage renal disease? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.ethnicity = "WHITE" AND diagnoses.long_title = "Hypertensive chronic kidney disease, unspecified, with chronic kidney disease stage V or end stage renal disease" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "Hypertensive chronic kidney disease, unspecified, with chronic kidney disease stage V or end stage renal disease" = "diagnoses"."long_title" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" WHERE "WHITE" = "demographic"."ethnicity" | 0.316406 |
CREATE TABLE table_17288845_8 (record VARCHAR2, location_attendance VARCHAR2)
| Name the record for verizon center 20,173 | SELECT record FROM table_17288845_8 WHERE location_attendance = "Verizon Center 20,173" | SELECT "record" FROM "table_17288845_8" WHERE "Verizon Center 20,173" = "location_attendance" | 0.09082 |
CREATE TABLE dual_carrier (main_airline VARCHAR2, low_flight_number NUMBER, high_flight_number NUMBER, dual_airline VARCHAR2, service_name CLOB)
CREATE TABLE restriction (restriction_code CLOB, advance_purchase NUMBER, stopovers CLOB, saturday_stay_required CLOB, minimum_stay NUMBER, maximum_stay NUMBER, application CLOB, no_discounts CLOB)
CREATE TABLE aircraft (aircraft_code VARCHAR2, aircraft_description VARCHAR2, manufacturer VARCHAR2, basic_type VARCHAR2, engines NUMBER, propulsion VARCHAR2, wide_body VARCHAR2, wing_span NUMBER, length NUMBER, weight NUMBER, capacity NUMBER, pay_load NUMBER, cruising_speed NUMBER, range_miles NUMBER, pressurized VARCHAR2)
CREATE TABLE fare_basis (fare_basis_code CLOB, booking_class CLOB, class_type CLOB, premium CLOB, economy CLOB, discounted CLOB, night CLOB, season CLOB, basis_days CLOB)
CREATE TABLE equipment_sequence (aircraft_code_sequence VARCHAR2, aircraft_code VARCHAR2)
CREATE TABLE food_service (meal_code CLOB, meal_number NUMBER, compartment CLOB, meal_description VARCHAR2)
CREATE TABLE class_of_service (booking_class VARCHAR2, rank NUMBER, class_description CLOB)
CREATE TABLE flight (aircraft_code_sequence CLOB, airline_code VARCHAR2, airline_flight CLOB, arrival_time NUMBER, connections NUMBER, departure_time NUMBER, dual_carrier CLOB, flight_days CLOB, flight_id NUMBER, flight_number NUMBER, from_airport VARCHAR2, meal_code CLOB, stops NUMBER, time_elapsed NUMBER, to_airport VARCHAR2)
CREATE TABLE flight_fare (flight_id NUMBER, fare_id NUMBER)
CREATE TABLE state (state_code CLOB, state_name CLOB, country_name CLOB)
CREATE TABLE time_interval (period CLOB, begin_time NUMBER, end_time NUMBER)
CREATE TABLE days (days_code VARCHAR2, day_name VARCHAR2)
CREATE TABLE date_day (month_number NUMBER, day_number NUMBER, year NUMBER, day_name VARCHAR2)
CREATE TABLE fare (fare_id NUMBER, from_airport VARCHAR2, to_airport VARCHAR2, fare_basis_code CLOB, fare_airline CLOB, restriction_code CLOB, one_direction_cost NUMBER, round_trip_cost NUMBER, round_trip_required VARCHAR2)
CREATE TABLE time_zone (time_zone_code CLOB, time_zone_name CLOB, hours_from_gmt NUMBER)
CREATE TABLE compartment_class (compartment VARCHAR2, class_type VARCHAR2)
CREATE TABLE flight_stop (flight_id NUMBER, stop_number NUMBER, stop_days CLOB, stop_airport CLOB, arrival_time NUMBER, arrival_airline CLOB, arrival_flight_number NUMBER, departure_time NUMBER, departure_airline CLOB, departure_flight_number NUMBER, stop_time NUMBER)
CREATE TABLE city (city_code VARCHAR2, city_name VARCHAR2, state_code VARCHAR2, country_name VARCHAR2, time_zone_code VARCHAR2)
CREATE TABLE airport_service (city_code VARCHAR2, airport_code VARCHAR2, miles_distant NUMBER, direction VARCHAR2, minutes_distant NUMBER)
CREATE TABLE airline (airline_code VARCHAR2, airline_name CLOB, note CLOB)
CREATE TABLE airport (airport_code VARCHAR2, airport_name CLOB, airport_location CLOB, state_code VARCHAR2, country_name VARCHAR2, time_zone_code VARCHAR2, minimum_connect_time NUMBER)
CREATE TABLE code_description (code VARCHAR2, description CLOB)
CREATE TABLE ground_service (city_code CLOB, airport_code CLOB, transport_type CLOB, ground_fare NUMBER)
CREATE TABLE month (month_number NUMBER, month_name CLOB)
CREATE TABLE flight_leg (flight_id NUMBER, leg_number NUMBER, leg_flight NUMBER)
| show me round trip fares from LAS VEGAS to HOUSTON nonstop | SELECT DISTINCT fare.fare_id FROM airport_service AS AIRPORT_SERVICE_0, airport_service AS AIRPORT_SERVICE_1, city AS CITY_0, city AS CITY_1, fare, flight, flight_fare WHERE (CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'LAS VEGAS' AND CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'HOUSTON' AND flight.from_airport = AIRPORT_SERVICE_0.airport_code AND flight.to_airport = AIRPORT_SERVICE_1.airport_code) AND NOT fare.round_trip_cost IS NULL AND flight_fare.fare_id = fare.fare_id AND flight.flight_id = flight_fare.flight_id AND flight.stops = 0 | SELECT DISTINCT "fare"."fare_id" FROM "airport_service" "AIRPORT_SERVICE_0" JOIN "city" "CITY_0" ON "AIRPORT_SERVICE_0"."city_code" = "CITY_0"."city_code" AND "CITY_0"."city_name" = 'LAS VEGAS' JOIN "flight" ON "AIRPORT_SERVICE_0"."airport_code" = "flight"."from_airport" AND "flight"."stops" = 0 JOIN "airport_service" "AIRPORT_SERVICE_1" ON "AIRPORT_SERVICE_1"."airport_code" = "flight"."to_airport" JOIN "flight_fare" ON "flight"."flight_id" = "flight_fare"."flight_id" JOIN "city" "CITY_1" ON "AIRPORT_SERVICE_1"."city_code" = "CITY_1"."city_code" AND "CITY_1"."city_name" = 'HOUSTON' JOIN "fare" ON "fare"."fare_id" = "flight_fare"."fare_id" AND NOT "fare"."round_trip_cost" IS NULL | 0.670898 |
CREATE TABLE table_14342210_2 (player VARCHAR2, position VARCHAR2)
| Name all the players for fullback | SELECT player FROM table_14342210_2 WHERE position = "Fullback" | SELECT "player" FROM "table_14342210_2" WHERE "Fullback" = "position" | 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 demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
| what is the number of patients whose hospital stay is above 7 days and diagnosed with single ib in-hosp w cs? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.days_stay > "7" AND diagnoses.short_title = "Single lb in-hosp w cs" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "Single lb in-hosp w cs" = "diagnoses"."short_title" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" WHERE "7" < "demographic"."days_stay" | 0.225586 |
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 class (class_code CLOB, crs_code CLOB, class_section CLOB, class_time CLOB, class_room CLOB, prof_num NUMBER)
CREATE TABLE department (dept_code CLOB, dept_name CLOB, school_code CLOB, emp_num NUMBER, dept_address CLOB, dept_extension CLOB)
CREATE TABLE professor (emp_num NUMBER, dept_code CLOB, prof_office CLOB, prof_extension CLOB, prof_high_degree CLOB)
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 course (crs_code CLOB, dept_code CLOB, crs_description CLOB, crs_credit NUMBER)
CREATE TABLE enroll (class_code CLOB, stu_num NUMBER, enroll_grade CLOB)
| How many different locations does each school have? | SELECT COUNT(DISTINCT dept_address), school_code FROM department GROUP BY school_code | SELECT COUNT(DISTINCT "dept_address"), "school_code" FROM "department" GROUP BY "school_code" | 0.09082 |
CREATE TABLE table_19848 ("PRINT NAME" CLOB, "NICKNAME" CLOB, "NUMBER OF COLORS" CLOB, "FRAMED SIZE" CLOB, "DATE COMPLETED" CLOB)
| when the nickname halley is used, what are the date completed | SELECT "DATE COMPLETED" FROM table_19848 WHERE "NICKNAME" = 'Halley' | SELECT "DATE COMPLETED" FROM "table_19848" WHERE "NICKNAME" = 'Halley' | 0.068359 |
CREATE TABLE table_19744915_4 (karen VARCHAR2, nicky VARCHAR2)
| Name the karen when nicky is 2.5 | SELECT karen FROM table_19744915_4 WHERE nicky = "2.5" | SELECT "karen" FROM "table_19744915_4" WHERE "2.5" = "nicky" | 0.058594 |
CREATE TABLE table_41912 ("Date" CLOB, "Cover model" CLOB, "Centerfold model" CLOB, "Interview subject" CLOB, "20 Questions" CLOB)
| When was Shannon Long the Centerfold model? | SELECT "Date" FROM table_41912 WHERE "Centerfold model" = 'shannon long' | SELECT "Date" FROM "table_41912" WHERE "Centerfold model" = 'shannon long' | 0.072266 |
CREATE TABLE table_15888 ("Season" FLOAT, "Player" CLOB, "Position" CLOB, "Nationality" CLOB, "Team" CLOB, "Draft Pick #" CLOB, "Draft Class" CLOB, "College" CLOB)
| What position did the #10 draft pick play? | SELECT "Position" FROM table_15888 WHERE "Draft Pick #" = '10' | SELECT "Position" FROM "table_15888" WHERE "Draft Pick #" = '10' | 0.0625 |
CREATE TABLE table_71176 ("Year" FLOAT, "Class" CLOB, "Tyres" CLOB, "Team" CLOB, "Co-Drivers" CLOB, "Laps" FLOAT, "Pos." CLOB, "Class Pos." CLOB)
| Which class more recent than 1988 has G tyres? | SELECT "Class" FROM table_71176 WHERE "Tyres" = 'g' AND "Year" > '1988' | SELECT "Class" FROM "table_71176" WHERE "Tyres" = 'g' AND "Year" > '1988' | 0.071289 |
CREATE TABLE table_name_49 (acquired NUMBER, design VARCHAR2, name VARCHAR2)
| What is the average year for Wallenstein with 1a1 design? | SELECT AVG(acquired) FROM table_name_49 WHERE design = "1a1" AND name = "wallenstein" | SELECT AVG("acquired") FROM "table_name_49" WHERE "1a1" = "design" AND "name" = "wallenstein" | 0.09082 |
CREATE TABLE table_23177573_1 (original_air_date VARCHAR2, rank__week_ VARCHAR2)
| What is the original air date of the episode that had a week ranking of 21? | SELECT original_air_date FROM table_23177573_1 WHERE rank__week_ = 21 | SELECT "original_air_date" FROM "table_23177573_1" WHERE "rank__week_" = 21 | 0.073242 |
CREATE TABLE ReviewTaskResultTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE CloseAsOffTopicReasonTypes (Id NUMBER, IsUniversal BOOLEAN, InputTitle CLOB, MarkdownInputGuidance CLOB, MarkdownPostOwnerGuidance CLOB, MarkdownPrivilegedUserGuidance CLOB, MarkdownConcensusDescription CLOB, CreationDate TIME, CreationModeratorId NUMBER, ApprovalDate TIME, ApprovalModeratorId NUMBER, DeactivationDate TIME, DeactivationModeratorId NUMBER)
CREATE TABLE PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
CREATE TABLE FlagTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
CREATE TABLE CloseReasonTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostTypes (Id NUMBER, Name CLOB)
CREATE TABLE PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
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 ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment CLOB)
CREATE TABLE VoteTypes (Id NUMBER, Name CLOB)
CREATE TABLE ReviewTaskStates (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 Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount 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 Comments (Id NUMBER, PostId NUMBER, Score NUMBER, Text CLOB, CreationDate TIME, UserDisplayName CLOB, UserId NUMBER, ContentLicense CLOB)
CREATE TABLE Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
CREATE TABLE ReviewTaskTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
CREATE TABLE PostTags (PostId NUMBER, TagId NUMBER)
CREATE TABLE PostHistory (Id NUMBER, PostHistoryTypeId NUMBER, PostId NUMBER, RevisionGUID other, CreationDate TIME, UserId NUMBER, UserDisplayName CLOB, Comment CLOB, Text CLOB, ContentLicense CLOB)
CREATE TABLE Users (Id NUMBER, Reputation NUMBER, CreationDate TIME, DisplayName CLOB, LastAccessDate TIME, WebsiteUrl CLOB, Location CLOB, AboutMe CLOB, Views NUMBER, UpVotes NUMBER, DownVotes NUMBER, ProfileImageUrl CLOB, EmailHash CLOB, AccountId NUMBER)
CREATE TABLE PostHistoryTypes (Id NUMBER, Name CLOB)
CREATE TABLE Posts (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE SuggestedEdits (Id NUMBER, PostId NUMBER, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId NUMBER, Comment CLOB, Text CLOB, Title CLOB, Tags CLOB, RevisionGUID other)
CREATE TABLE PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId NUMBER)
CREATE TABLE ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId NUMBER)
CREATE TABLE PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId NUMBER)
| Percentage of users with less than 1000 reputation. Number of Users Under 1000 Reputation | SELECT (((SELECT CAST(COUNT(*) AS FLOAT) FROM Users WHERE Reputation < 1000) / (SELECT CAST(COUNT(*) AS FLOAT) FROM Users)) * 100) AS "% of users with < 1000 rep." | SELECT ((SELECT CAST(COUNT(*) AS FLOAT) FROM "Users" WHERE "Reputation" < 1000) / NULLIF((SELECT CAST(COUNT(*) AS FLOAT) FROM "Users"), 0)) * 100 AS "% of users with < 1000 rep." | 0.173828 |
CREATE TABLE student_course_enrolment (registration_id NUMBER, student_id NUMBER, course_id NUMBER, date_of_enrolment TIME, date_of_completion TIME)
CREATE TABLE course_authors_and_tutors (author_id NUMBER, author_tutor_atb CLOB, login_name CLOB, password CLOB, personal_name CLOB, middle_name CLOB, family_name CLOB, gender_mf CLOB, address_line_1 CLOB)
CREATE TABLE subjects (subject_id NUMBER, subject_name CLOB)
CREATE TABLE students (student_id NUMBER, date_of_registration TIME, date_of_latest_logon TIME, login_name CLOB, password CLOB, personal_name CLOB, middle_name CLOB, family_name CLOB)
CREATE TABLE courses (course_id NUMBER, author_id NUMBER, subject_id NUMBER, course_name CLOB, course_description CLOB)
CREATE TABLE student_tests_taken (registration_id NUMBER, date_test_taken TIME, test_result CLOB)
| Sort the information about course authors and tutors in alphabetical order of the personal name. | SELECT * FROM course_authors_and_tutors ORDER BY personal_name | SELECT * FROM "course_authors_and_tutors" ORDER BY "personal_name" | 0.064453 |
CREATE TABLE table_60776 ("Date" CLOB, "Nationality / Opponent" CLOB, "Ground" CLOB, "Result" CLOB, "Competition" CLOB)
| Name the Nationality / Opponent of rosario? | SELECT "Competition" FROM table_60776 WHERE "Nationality / Opponent" = 'rosario' | SELECT "Competition" FROM "table_60776" WHERE "Nationality / Opponent" = 'rosario' | 0.080078 |
CREATE TABLE vitalperiodic (vitalperiodicid NUMBER, patientunitstayid NUMBER, temperature NUMBER, sao2 NUMBER, heartrate NUMBER, respiration NUMBER, systemicsystolic NUMBER, systemicdiastolic NUMBER, systemicmean NUMBER, observationtime TIME)
CREATE TABLE diagnosis (diagnosisid NUMBER, patientunitstayid NUMBER, diagnosisname CLOB, diagnosistime TIME, icd9code CLOB)
CREATE TABLE lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime TIME)
CREATE TABLE allergy (allergyid NUMBER, patientunitstayid NUMBER, drugname CLOB, allergyname CLOB, allergytime TIME)
CREATE TABLE intakeoutput (intakeoutputid NUMBER, patientunitstayid NUMBER, cellpath CLOB, celllabel CLOB, cellvaluenumeric NUMBER, intakeoutputtime TIME)
CREATE TABLE 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 treatment (treatmentid NUMBER, patientunitstayid NUMBER, treatmentname CLOB, treatmenttime TIME)
CREATE TABLE cost (costid NUMBER, uniquepid CLOB, patienthealthsystemstayid NUMBER, eventtype CLOB, eventid NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE medication (medicationid NUMBER, patientunitstayid NUMBER, drugname CLOB, dosage CLOB, routeadmin CLOB, drugstarttime TIME, drugstoptime TIME)
| calculate the difference between the total input and the output on last month/15 for patient 002-41152. | SELECT (SELECT SUM(intakeoutput.cellvaluenumeric) FROM intakeoutput WHERE intakeoutput.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '002-41152')) AND intakeoutput.cellpath LIKE '%intake%' AND DATETIME(intakeoutput.intakeoutputtime, 'start of month') = DATETIME(CURRENT_TIME(), 'start of month', '-1 month') AND STRFTIME('%d', intakeoutput.intakeoutputtime) = '15') - (SELECT SUM(intakeoutput.cellvaluenumeric) FROM intakeoutput WHERE intakeoutput.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '002-41152')) AND intakeoutput.cellpath LIKE '%output%' AND DATETIME(intakeoutput.intakeoutputtime, 'start of month') = DATETIME(CURRENT_TIME(), 'start of month', '-1 month') AND STRFTIME('%d', intakeoutput.intakeoutputtime) = '15') | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '002-41152' GROUP BY "patienthealthsystemstayid"), "_u_1" AS (SELECT "patient"."patientunitstayid" FROM "patient" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "patient"."patienthealthsystemstayid" WHERE NOT "_u_0"."" IS NULL GROUP BY "patientunitstayid"), "_u_4" AS (SELECT "patient"."patientunitstayid" FROM "patient" LEFT JOIN "_u_0" "_u_3" ON "_u_3"."" = "patient"."patienthealthsystemstayid" WHERE NOT "_u_3"."" IS NULL GROUP BY "patientunitstayid") SELECT (SELECT SUM("intakeoutput"."cellvaluenumeric") FROM "intakeoutput" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "intakeoutput"."patientunitstayid" WHERE "intakeoutput"."cellpath" LIKE '%intake%' AND DATETIME("intakeoutput"."intakeoutputtime", 'start of month') = DATETIME(CURRENT_TIME(), 'start of month', '-1 month') AND NOT "_u_1"."" IS NULL AND STRFTIME('%d', "intakeoutput"."intakeoutputtime") = '15') - (SELECT SUM("intakeoutput"."cellvaluenumeric") FROM "intakeoutput" LEFT JOIN "_u_4" "_u_4" ON "_u_4"."" = "intakeoutput"."patientunitstayid" WHERE "intakeoutput"."cellpath" LIKE '%output%' AND DATETIME("intakeoutput"."intakeoutputtime", 'start of month') = DATETIME(CURRENT_TIME(), 'start of month', '-1 month') AND NOT "_u_4"."" IS NULL AND STRFTIME('%d', "intakeoutput"."intakeoutputtime") = '15') | 1.330078 |
CREATE TABLE regions (REGION_ID NUMBER, REGION_NAME VARCHAR2)
CREATE TABLE departments (DEPARTMENT_ID NUMBER, DEPARTMENT_NAME VARCHAR2, MANAGER_ID NUMBER, LOCATION_ID NUMBER)
CREATE TABLE jobs (JOB_ID VARCHAR2, JOB_TITLE VARCHAR2, MIN_SALARY NUMBER, MAX_SALARY NUMBER)
CREATE TABLE job_history (EMPLOYEE_ID NUMBER, START_DATE DATE, END_DATE DATE, JOB_ID VARCHAR2, DEPARTMENT_ID NUMBER)
CREATE TABLE locations (LOCATION_ID NUMBER, STREET_ADDRESS VARCHAR2, POSTAL_CODE VARCHAR2, CITY VARCHAR2, STATE_PROVINCE VARCHAR2, COUNTRY_ID VARCHAR2)
CREATE TABLE employees (EMPLOYEE_ID NUMBER, FIRST_NAME VARCHAR2, LAST_NAME VARCHAR2, EMAIL VARCHAR2, PHONE_NUMBER VARCHAR2, HIRE_DATE DATE, JOB_ID VARCHAR2, SALARY NUMBER, COMMISSION_PCT NUMBER, MANAGER_ID NUMBER, DEPARTMENT_ID NUMBER)
CREATE TABLE countries (COUNTRY_ID VARCHAR2, COUNTRY_NAME VARCHAR2, REGION_ID NUMBER)
| For those employees who do not work in departments with managers that have ids between 100 and 200, visualize a bar chart about the distribution of job_id and employee_id . | SELECT JOB_ID, EMPLOYEE_ID FROM employees WHERE NOT DEPARTMENT_ID IN (SELECT DEPARTMENT_ID FROM departments WHERE MANAGER_ID BETWEEN 100 AND 200) | SELECT "JOB_ID", "EMPLOYEE_ID" FROM "employees" WHERE NOT "DEPARTMENT_ID" IN (SELECT "DEPARTMENT_ID" FROM "departments" WHERE "MANAGER_ID" <= 200 AND "MANAGER_ID" >= 100) | 0.166016 |
CREATE TABLE table_27294107_11 (round_of_32 VARCHAR2, round_of_16 VARCHAR2)
| What is the round of 32 if the round of 16 is drenovak ( srb ) w 20 11? | SELECT round_of_32 FROM table_27294107_11 WHERE round_of_16 = "Drenovak ( SRB ) W 20–11" | SELECT "round_of_32" FROM "table_27294107_11" WHERE "Drenovak ( SRB ) W 20–11" = "round_of_16" | 0.091797 |
CREATE TABLE table_name_27 (score VARCHAR2, tie_no VARCHAR2)
| What was the score for Tie no. 6? | SELECT score FROM table_name_27 WHERE tie_no = "6" | SELECT "score" FROM "table_name_27" WHERE "6" = "tie_no" | 0.054688 |
CREATE TABLE table_51102 ("Week" FLOAT, "Date" CLOB, "Opponent" CLOB, "Result" CLOB, "Attendance" FLOAT)
| What was the attendance during the november 16, 1975 game? | SELECT MAX("Attendance") FROM table_51102 WHERE "Date" = 'november 16, 1975' | SELECT MAX("Attendance") FROM "table_51102" WHERE "Date" = 'november 16, 1975' | 0.076172 |
CREATE TABLE Ref_Incident_Type (incident_type_code VARCHAR2, incident_type_description VARCHAR2)
CREATE TABLE Behavior_Incident (incident_id NUMBER, incident_type_code VARCHAR2, student_id NUMBER, date_incident_start DATETIME, date_incident_end DATETIME, incident_summary VARCHAR2, recommendations VARCHAR2, other_details VARCHAR2)
CREATE TABLE Ref_Detention_Type (detention_type_code VARCHAR2, detention_type_description VARCHAR2)
CREATE TABLE Detention (detention_id NUMBER, detention_type_code VARCHAR2, teacher_id NUMBER, datetime_detention_start DATETIME, datetime_detention_end DATETIME, detention_summary VARCHAR2, other_details VARCHAR2)
CREATE TABLE Ref_Address_Types (address_type_code VARCHAR2, address_type_description VARCHAR2)
CREATE TABLE Student_Addresses (student_id NUMBER, address_id NUMBER, date_address_from DATETIME, date_address_to DATETIME, monthly_rental NUMBER, other_details VARCHAR2)
CREATE TABLE Addresses (address_id NUMBER, line_1 VARCHAR2, line_2 VARCHAR2, line_3 VARCHAR2, city VARCHAR2, zip_postcode VARCHAR2, state_province_county VARCHAR2, country VARCHAR2, other_address_details VARCHAR2)
CREATE TABLE Teachers (teacher_id NUMBER, address_id NUMBER, first_name VARCHAR2, middle_name VARCHAR2, last_name VARCHAR2, gender VARCHAR2, cell_mobile_number VARCHAR2, email_address VARCHAR2, other_details VARCHAR2)
CREATE TABLE Assessment_Notes (notes_id NUMBER, student_id NUMBER, teacher_id NUMBER, date_of_notes DATETIME, text_of_notes VARCHAR2, other_details VARCHAR2)
CREATE TABLE Students_in_Detention (student_id NUMBER, detention_id NUMBER, incident_id NUMBER)
CREATE TABLE Students (student_id NUMBER, address_id NUMBER, first_name VARCHAR2, middle_name VARCHAR2, last_name VARCHAR2, cell_mobile_number VARCHAR2, email_address VARCHAR2, date_first_rental DATETIME, date_left_university DATETIME, other_student_details VARCHAR2)
| What is the number of start dates for incidents with incident type code 'NOISE'? Bin by year and return a bar chart, and I want to order in descending by the Y-axis. | SELECT date_incident_start, COUNT(date_incident_start) FROM Behavior_Incident WHERE incident_type_code = "NOISE" ORDER BY COUNT(date_incident_start) DESC | SELECT "date_incident_start", COUNT("date_incident_start") FROM "Behavior_Incident" WHERE "NOISE" = "incident_type_code" ORDER BY COUNT("date_incident_start") DESC | 0.15918 |
CREATE TABLE table_32182 ("Round" FLOAT, "Overall" FLOAT, "Player" CLOB, "Position" CLOB, "School/Club Team" CLOB)
| What was James Reed's draft round number? | SELECT COUNT("Round") FROM table_32182 WHERE "Player" = 'james reed' | SELECT COUNT("Round") FROM "table_32182" WHERE "Player" = 'james reed' | 0.068359 |
CREATE TABLE table_203_547 (id NUMBER, "ship" CLOB, "built" NUMBER, "in service for cunard" CLOB, "type" CLOB, "tonnage" CLOB, "notes" CLOB)
| the ship with the most tonnage is named after whom ? | SELECT "ship" FROM table_203_547 ORDER BY "tonnage" DESC LIMIT 1 | SELECT "ship" FROM "table_203_547" ORDER BY "tonnage" DESC FETCH FIRST 1 ROWS ONLY | 0.080078 |
CREATE TABLE table_32415 ("Basin" CLOB, "Continent" CLOB, "Drains to" CLOB, "Basin Area km 2" FLOAT, "Basin Area mi 2" CLOB)
| Which Basin's Continent is South America, has a Basin Area km 2 larger than 6,144,727, and a Basin Area mi 2 of 238,539? | SELECT "Basin" FROM table_32415 WHERE "Continent" = 'south america' AND "Basin Area km 2" > '6,144,727' AND "Basin Area mi 2" = '238,539' | SELECT "Basin" FROM "table_32415" WHERE "Basin Area km 2" > '6,144,727' AND "Basin Area mi 2" = '238,539' AND "Continent" = 'south america' | 0.135742 |
CREATE TABLE table_name_85 (Id VARCHAR2)
| Name the total number of 2010 for when 2009 is less than 14, 2008 is less than 15 and 2005 is 3 | SELECT COUNT(2010) FROM table_name_85 WHERE 2009 < 14 AND 2008 < 15 AND 2005 = 3 | SELECT COUNT(2010) FROM "table_name_85" WHERE FALSE | 0.049805 |
CREATE TABLE table_name_52 (venue VARCHAR2, date VARCHAR2)
| Which Venue is listed under the Date of 21st? | SELECT venue FROM table_name_52 WHERE date = "21st" | SELECT "venue" FROM "table_name_52" WHERE "21st" = "date" | 0.055664 |
CREATE TABLE table_name_84 (date VARCHAR2, visitor VARCHAR2)
| Can you tell me the Date that has the Visitor of florida? | SELECT date FROM table_name_84 WHERE visitor = "florida" | SELECT "date" FROM "table_name_84" WHERE "florida" = "visitor" | 0.060547 |
CREATE TABLE table_204_60 (id NUMBER, "sl no" NUMBER, "constituency\ name" CLOB, "constituency\ number" NUMBER, "member of legislative assembly" CLOB, "political party" CLOB)
| if ordering political parties from the most representatives to the least , which would come first ? | SELECT "constituency\nname" FROM table_204_60 ORDER BY "constituency\nnumber" DESC LIMIT 1 | SELECT "constituency\nname" FROM "table_204_60" ORDER BY "constituency\nnumber" DESC FETCH FIRST 1 ROWS ONLY | 0.105469 |
CREATE TABLE jobs (JOB_ID VARCHAR2, JOB_TITLE VARCHAR2, MIN_SALARY NUMBER, MAX_SALARY NUMBER)
CREATE TABLE job_history (EMPLOYEE_ID NUMBER, START_DATE DATE, END_DATE DATE, JOB_ID VARCHAR2, DEPARTMENT_ID NUMBER)
CREATE TABLE employees (EMPLOYEE_ID NUMBER, FIRST_NAME VARCHAR2, LAST_NAME VARCHAR2, EMAIL VARCHAR2, PHONE_NUMBER VARCHAR2, HIRE_DATE DATE, JOB_ID VARCHAR2, SALARY NUMBER, COMMISSION_PCT NUMBER, MANAGER_ID NUMBER, DEPARTMENT_ID NUMBER)
CREATE TABLE countries (COUNTRY_ID VARCHAR2, COUNTRY_NAME VARCHAR2, REGION_ID NUMBER)
CREATE TABLE regions (REGION_ID NUMBER, REGION_NAME VARCHAR2)
CREATE TABLE locations (LOCATION_ID NUMBER, STREET_ADDRESS VARCHAR2, POSTAL_CODE VARCHAR2, CITY VARCHAR2, STATE_PROVINCE VARCHAR2, COUNTRY_ID VARCHAR2)
CREATE TABLE departments (DEPARTMENT_ID NUMBER, DEPARTMENT_NAME VARCHAR2, MANAGER_ID NUMBER, LOCATION_ID NUMBER)
| For those employees who did not have any job in the past, give me the comparison about the sum of employee_id over the hire_date bin hire_date by time. | SELECT HIRE_DATE, SUM(EMPLOYEE_ID) FROM employees WHERE NOT EMPLOYEE_ID IN (SELECT EMPLOYEE_ID FROM job_history) | SELECT "HIRE_DATE", SUM("EMPLOYEE_ID") FROM "employees" WHERE NOT "EMPLOYEE_ID" IN (SELECT "EMPLOYEE_ID" FROM "job_history") | 0.121094 |
CREATE TABLE people (People_ID NUMBER, Name CLOB, Country CLOB, Is_Male CLOB, Age NUMBER)
CREATE TABLE wedding (Church_ID NUMBER, Male_ID NUMBER, Female_ID NUMBER, Year NUMBER)
CREATE TABLE church (Church_ID NUMBER, Name CLOB, Organized_by CLOB, Open_Date NUMBER, Continuation_of CLOB)
| A line chart shows how many churches open each year?, I want to sort by the X-axis from low to high. | SELECT Open_Date, COUNT(Open_Date) FROM church GROUP BY Open_Date ORDER BY Open_Date | SELECT "Open_Date", COUNT("Open_Date") FROM "church" GROUP BY "Open_Date" ORDER BY "Open_Date" | 0.091797 |
CREATE TABLE PendingFlags (Id NUMBER, FlagTypeId NUMBER, PostId NUMBER, CreationDate TIME, CloseReasonTypeId NUMBER, CloseAsOffTopicReasonTypeId NUMBER, DuplicateOfQuestionId NUMBER, BelongsOnBaseHostAddress CLOB)
CREATE TABLE ReviewTaskStates (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
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 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 PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId 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 ReviewTaskTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostHistoryTypes (Id NUMBER, Name CLOB)
CREATE TABLE VoteTypes (Id NUMBER, Name CLOB)
CREATE TABLE ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
CREATE TABLE PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
CREATE TABLE ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId NUMBER)
CREATE TABLE FlagTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId NUMBER)
CREATE TABLE Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
CREATE TABLE ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment CLOB)
CREATE TABLE Posts (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE SuggestedEditVotes (Id NUMBER, SuggestedEditId NUMBER, UserId NUMBER, VoteTypeId NUMBER, CreationDate TIME, TargetUserId NUMBER, TargetRepChange NUMBER)
CREATE TABLE PostTags (PostId NUMBER, TagId NUMBER)
CREATE TABLE CloseReasonTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount 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 PostTypes (Id NUMBER, Name CLOB)
CREATE TABLE PostsWithDeleted (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE TagSynonyms (Id NUMBER, SourceTagName CLOB, TargetTagName CLOB, CreationDate TIME, OwnerUserId NUMBER, AutoRenameCount NUMBER, LastAutoRename TIME, Score NUMBER, ApprovedByUserId NUMBER, ApprovalDate TIME)
CREATE TABLE ReviewTaskResultTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
CREATE TABLE Comments (Id NUMBER, PostId NUMBER, Score NUMBER, Text CLOB, CreationDate TIME, UserDisplayName CLOB, UserId NUMBER, ContentLicense CLOB)
| Total number of views for a given tag. | SELECT SUM(ViewCount) AS Views FROM Posts AS Questions INNER JOIN PostTags ON Questions.Id = PostTags.PostId INNER JOIN Tags ON PostTags.TagId = Tags.Id WHERE Questions.PostTypeId = 1 AND Tags.TagName = '##tagname##' | SELECT SUM("ViewCount") AS "Views" FROM "Posts" "Questions" JOIN "PostTags" ON "PostTags"."PostId" = "Questions"."Id" JOIN "Tags" ON "PostTags"."TagId" = "Tags"."Id" AND "Tags"."TagName" = '##tagname##' WHERE "Questions"."PostTypeId" = 1 | 0.231445 |
CREATE TABLE employees (EMPLOYEE_ID NUMBER, FIRST_NAME VARCHAR2, LAST_NAME VARCHAR2, EMAIL VARCHAR2, PHONE_NUMBER VARCHAR2, HIRE_DATE DATE, JOB_ID VARCHAR2, SALARY NUMBER, COMMISSION_PCT NUMBER, MANAGER_ID NUMBER, DEPARTMENT_ID NUMBER)
CREATE TABLE job_history (EMPLOYEE_ID NUMBER, START_DATE DATE, END_DATE DATE, JOB_ID VARCHAR2, DEPARTMENT_ID NUMBER)
CREATE TABLE countries (COUNTRY_ID VARCHAR2, COUNTRY_NAME VARCHAR2, REGION_ID NUMBER)
CREATE TABLE jobs (JOB_ID VARCHAR2, JOB_TITLE VARCHAR2, MIN_SALARY NUMBER, MAX_SALARY NUMBER)
CREATE TABLE locations (LOCATION_ID NUMBER, STREET_ADDRESS VARCHAR2, POSTAL_CODE VARCHAR2, CITY VARCHAR2, STATE_PROVINCE VARCHAR2, COUNTRY_ID VARCHAR2)
CREATE TABLE departments (DEPARTMENT_ID NUMBER, DEPARTMENT_NAME VARCHAR2, MANAGER_ID NUMBER, LOCATION_ID NUMBER)
CREATE TABLE regions (REGION_ID NUMBER, REGION_NAME VARCHAR2)
| For those employees whose salary is in the range of 8000 and 12000 and commission is not null or department number does not equal to 40, find hire_date and the average of manager_id bin hire_date by weekday, and visualize them by a bar chart. | SELECT HIRE_DATE, AVG(MANAGER_ID) FROM employees WHERE SALARY BETWEEN 8000 AND 12000 AND COMMISSION_PCT <> "null" OR DEPARTMENT_ID <> 40 | SELECT "HIRE_DATE", AVG("MANAGER_ID") FROM "employees" WHERE ("COMMISSION_PCT" <> "null" OR "DEPARTMENT_ID" <> 40) AND ("DEPARTMENT_ID" <> 40 OR "SALARY" <= 12000) AND ("DEPARTMENT_ID" <> 40 OR "SALARY" >= 8000) | 0.206055 |
CREATE TABLE table_67999 ("Year" FLOAT, "Men's singles" CLOB, "Women's singles" CLOB, "Men's doubles" CLOB, "Women's doubles" CLOB, "Mixed doubles" CLOB)
| Name the mixed doubles for year before 1991 and men's doubles of david jepson buck ryan | SELECT "Mixed doubles" FROM table_67999 WHERE "Year" < '1991' AND "Men's doubles" = 'david jepson buck ryan' | SELECT "Mixed doubles" FROM "table_67999" WHERE "Men's doubles" = 'david jepson buck ryan' AND "Year" < '1991' | 0.107422 |
CREATE TABLE procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom 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 d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE prescriptions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, startdate TIME, enddate TIME, drug CLOB, dose_val_rx CLOB, dose_unit_rx CLOB, route CLOB)
CREATE TABLE 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 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 patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
CREATE TABLE d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE icustays (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, first_careunit CLOB, last_careunit CLOB, first_wardid NUMBER, last_wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
CREATE TABLE outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
| when did patient 22648 first take his/her d5w during a day before? | SELECT inputevents_cv.charttime FROM inputevents_cv WHERE inputevents_cv.icustay_id IN (SELECT icustays.icustay_id FROM icustays WHERE icustays.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 22648)) AND inputevents_cv.itemid IN (SELECT d_items.itemid FROM d_items WHERE d_items.label = 'd5w' AND d_items.linksto = 'inputevents_cv') AND DATETIME(inputevents_cv.charttime, 'start of day') = DATETIME(CURRENT_TIME(), 'start of day', '-1 day') ORDER BY inputevents_cv.charttime LIMIT 1 | WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 22648 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"), "_u_2" AS (SELECT "d_items"."itemid" FROM "d_items" WHERE "d_items"."label" = 'd5w' AND "d_items"."linksto" = 'inputevents_cv' GROUP BY "itemid") SELECT "inputevents_cv"."charttime" FROM "inputevents_cv" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "inputevents_cv"."icustay_id" LEFT JOIN "_u_2" "_u_2" ON "_u_2"."" = "inputevents_cv"."itemid" WHERE DATETIME("inputevents_cv"."charttime", 'start of day') = DATETIME(CURRENT_TIME(), 'start of day', '-1 day') AND NOT "_u_1"."" IS NULL AND NOT "_u_2"."" IS NULL ORDER BY "inputevents_cv"."charttime" FETCH FIRST 1 ROWS ONLY | 0.839844 |
CREATE TABLE table_56984 ("Variant ( with Niqqud ) " CLOB, "without Niqqud" CLOB, "Phonemic Value" CLOB, "Phonetic Realisation" CLOB, "English example" CLOB)
| If a variant without niqqud is as final letter: or , what is the phonetic realisation? | SELECT "Phonetic Realisation" FROM table_56984 WHERE "without Niqqud" = 'as final letter: ו or יו' | SELECT "Phonetic Realisation" FROM "table_56984" WHERE "without Niqqud" = 'as final letter: ו or יו' | 0.097656 |
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE 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 admission type is urgent and days of hospital stay is greater than 5? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.admission_type = "URGENT" AND demographic.days_stay > "5" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "5" < "demographic"."days_stay" AND "URGENT" = "demographic"."admission_type" | 0.148438 |
CREATE TABLE table_36971 ("Date" CLOB, "Tournament" CLOB, "Location" CLOB, "Winner" CLOB, "Score" CLOB, "1st prize ( $ ) " FLOAT)
| What is the total number of first prizes in USD for the Canadian Open? | SELECT SUM("1st prize ( $ )") FROM table_36971 WHERE "Tournament" = 'canadian open' | SELECT SUM("1st prize ( $ )") FROM "table_36971" WHERE "Tournament" = 'canadian open' | 0.083008 |
CREATE TABLE table_name_33 (venue VARCHAR2, notes VARCHAR2, competition VARCHAR2)
| Which Venue has Notes of 58.25 m, and a Competition of world championships? | SELECT venue FROM table_name_33 WHERE notes = "58.25 m" AND competition = "world championships" | SELECT "venue" FROM "table_name_33" WHERE "58.25 m" = "notes" AND "competition" = "world championships" | 0.100586 |
CREATE TABLE job_history (EMPLOYEE_ID NUMBER, START_DATE DATE, END_DATE DATE, JOB_ID VARCHAR2, DEPARTMENT_ID NUMBER)
CREATE TABLE countries (COUNTRY_ID VARCHAR2, COUNTRY_NAME VARCHAR2, REGION_ID NUMBER)
CREATE TABLE locations (LOCATION_ID NUMBER, STREET_ADDRESS VARCHAR2, POSTAL_CODE VARCHAR2, CITY VARCHAR2, STATE_PROVINCE VARCHAR2, COUNTRY_ID VARCHAR2)
CREATE TABLE regions (REGION_ID NUMBER, REGION_NAME VARCHAR2)
CREATE TABLE jobs (JOB_ID VARCHAR2, JOB_TITLE VARCHAR2, MIN_SALARY NUMBER, MAX_SALARY NUMBER)
CREATE TABLE departments (DEPARTMENT_ID NUMBER, DEPARTMENT_NAME VARCHAR2, MANAGER_ID NUMBER, LOCATION_ID NUMBER)
CREATE TABLE employees (EMPLOYEE_ID NUMBER, FIRST_NAME VARCHAR2, LAST_NAME VARCHAR2, EMAIL VARCHAR2, PHONE_NUMBER VARCHAR2, HIRE_DATE DATE, JOB_ID VARCHAR2, SALARY NUMBER, COMMISSION_PCT NUMBER, MANAGER_ID NUMBER, DEPARTMENT_ID NUMBER)
| For those employees who was hired before 2002-06-21, give me the comparison about the average of department_id over the job_id , and group by attribute job_id by a bar chart, display in desc by the Y. | SELECT JOB_ID, AVG(DEPARTMENT_ID) FROM employees WHERE HIRE_DATE < '2002-06-21' GROUP BY JOB_ID ORDER BY AVG(DEPARTMENT_ID) DESC | SELECT "JOB_ID", AVG("DEPARTMENT_ID") FROM "employees" WHERE "HIRE_DATE" < '2002-06-21' GROUP BY "JOB_ID" ORDER BY AVG("DEPARTMENT_ID") DESC | 0.136719 |
CREATE TABLE fare_basis (fare_basis_code CLOB, booking_class CLOB, class_type CLOB, premium CLOB, economy CLOB, discounted CLOB, night CLOB, season CLOB, basis_days CLOB)
CREATE TABLE airline (airline_code VARCHAR2, airline_name CLOB, note CLOB)
CREATE TABLE time_interval (period CLOB, begin_time NUMBER, end_time NUMBER)
CREATE TABLE flight_fare (flight_id NUMBER, fare_id NUMBER)
CREATE TABLE flight (aircraft_code_sequence CLOB, airline_code VARCHAR2, airline_flight CLOB, arrival_time NUMBER, connections NUMBER, departure_time NUMBER, dual_carrier CLOB, flight_days CLOB, flight_id NUMBER, flight_number NUMBER, from_airport VARCHAR2, meal_code CLOB, stops NUMBER, time_elapsed NUMBER, to_airport VARCHAR2)
CREATE TABLE food_service (meal_code CLOB, meal_number NUMBER, compartment CLOB, meal_description VARCHAR2)
CREATE TABLE flight_stop (flight_id NUMBER, stop_number NUMBER, stop_days CLOB, stop_airport CLOB, arrival_time NUMBER, arrival_airline CLOB, arrival_flight_number NUMBER, departure_time NUMBER, departure_airline CLOB, departure_flight_number NUMBER, stop_time NUMBER)
CREATE TABLE compartment_class (compartment VARCHAR2, class_type VARCHAR2)
CREATE TABLE flight_leg (flight_id NUMBER, leg_number NUMBER, leg_flight NUMBER)
CREATE TABLE fare (fare_id NUMBER, from_airport VARCHAR2, to_airport VARCHAR2, fare_basis_code CLOB, fare_airline CLOB, restriction_code CLOB, one_direction_cost NUMBER, round_trip_cost NUMBER, round_trip_required VARCHAR2)
CREATE TABLE code_description (code VARCHAR2, description CLOB)
CREATE TABLE ground_service (city_code CLOB, airport_code CLOB, transport_type CLOB, ground_fare NUMBER)
CREATE TABLE aircraft (aircraft_code VARCHAR2, aircraft_description VARCHAR2, manufacturer VARCHAR2, basic_type VARCHAR2, engines NUMBER, propulsion VARCHAR2, wide_body VARCHAR2, wing_span NUMBER, length NUMBER, weight NUMBER, capacity NUMBER, pay_load NUMBER, cruising_speed NUMBER, range_miles NUMBER, pressurized VARCHAR2)
CREATE TABLE airport_service (city_code VARCHAR2, airport_code VARCHAR2, miles_distant NUMBER, direction VARCHAR2, minutes_distant NUMBER)
CREATE TABLE city (city_code VARCHAR2, city_name VARCHAR2, state_code VARCHAR2, country_name VARCHAR2, time_zone_code VARCHAR2)
CREATE TABLE class_of_service (booking_class VARCHAR2, rank NUMBER, class_description CLOB)
CREATE TABLE days (days_code VARCHAR2, day_name VARCHAR2)
CREATE TABLE time_zone (time_zone_code CLOB, time_zone_name CLOB, hours_from_gmt NUMBER)
CREATE TABLE state (state_code CLOB, state_name CLOB, country_name CLOB)
CREATE TABLE month (month_number NUMBER, month_name CLOB)
CREATE TABLE dual_carrier (main_airline VARCHAR2, low_flight_number NUMBER, high_flight_number NUMBER, dual_airline VARCHAR2, service_name CLOB)
CREATE TABLE date_day (month_number NUMBER, day_number NUMBER, year NUMBER, day_name VARCHAR2)
CREATE TABLE restriction (restriction_code CLOB, advance_purchase NUMBER, stopovers CLOB, saturday_stay_required CLOB, minimum_stay NUMBER, maximum_stay NUMBER, application CLOB, no_discounts CLOB)
CREATE TABLE airport (airport_code VARCHAR2, airport_name CLOB, airport_location CLOB, state_code VARCHAR2, country_name VARCHAR2, time_zone_code VARCHAR2, minimum_connect_time NUMBER)
CREATE TABLE equipment_sequence (aircraft_code_sequence VARCHAR2, aircraft_code VARCHAR2)
| give me the flights for AA from DALLAS to SAN FRANCISCO | SELECT DISTINCT flight.flight_id FROM airport_service AS AIRPORT_SERVICE_0, airport_service AS AIRPORT_SERVICE_1, city AS CITY_0, city AS CITY_1, flight WHERE (CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'SAN FRANCISCO' AND CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'DALLAS' AND flight.to_airport = AIRPORT_SERVICE_0.airport_code AND flight.from_airport = AIRPORT_SERVICE_1.airport_code) AND flight.airline_code = 'AA' | SELECT DISTINCT "flight"."flight_id" FROM "airport_service" "AIRPORT_SERVICE_0" JOIN "city" "CITY_0" ON "AIRPORT_SERVICE_0"."city_code" = "CITY_0"."city_code" AND "CITY_0"."city_name" = 'SAN FRANCISCO' JOIN "flight" ON "AIRPORT_SERVICE_0"."airport_code" = "flight"."to_airport" AND "flight"."airline_code" = 'AA' JOIN "airport_service" "AIRPORT_SERVICE_1" ON "AIRPORT_SERVICE_1"."airport_code" = "flight"."from_airport" JOIN "city" "CITY_1" ON "AIRPORT_SERVICE_1"."city_code" = "CITY_1"."city_code" AND "CITY_1"."city_name" = 'DALLAS' | 0.521484 |
CREATE TABLE table_test_27 ("id" NUMBER, "anemia" BOOLEAN, "bleeding" NUMBER, "left_ventricular_ejection_fraction_lvef" NUMBER, "intra_aortic_balloon_pump_iabp" BOOLEAN, "systolic_blood_pressure_sbp" NUMBER, "left_main_stem_coronary_artery_stenosis" NUMBER, "haemoglobin" FLOAT, "renal_disease" BOOLEAN, "creatinine_clearance_cl" FLOAT, "estimated_glomerular_filtration_rate_egfr" NUMBER, "cardiogenic_shock" BOOLEAN, "platelet_count" FLOAT, "iv_pressors" BOOLEAN, "hemodynamic_instability" BOOLEAN, "hypotension" BOOLEAN, "serum_creatinine" FLOAT, "NOUSE" FLOAT)
| anemia ( haemoglobin < 8.5 mg / dl ) | SELECT * FROM table_test_27 WHERE anemia = 1 OR haemoglobin < 8.5 | SELECT * FROM "table_test_27" WHERE "anemia" = 1 OR "haemoglobin" < 8.5 | 0.069336 |
CREATE TABLE table_name_24 (date VARCHAR2, record VARCHAR2)
| What is the date of the match with a 28-15 record? | SELECT date FROM table_name_24 WHERE record = "28-15" | SELECT "date" FROM "table_name_24" WHERE "28-15" = "record" | 0.057617 |
CREATE TABLE table_3697 ("Position" CLOB, "Nationality" CLOB, "Name" CLOB, "League apps" FLOAT, "League goals" FLOAT, "FA Cup apps" FLOAT, "FA Cup goals" FLOAT, "Total apps" FLOAT, "Total goals" FLOAT)
| Name the least fa cup goals with fa cup apps being 2 and fw | SELECT MIN("FA Cup goals") FROM table_3697 WHERE "FA Cup apps" = '2' AND "Position" = 'FW' | SELECT MIN("FA Cup goals") FROM "table_3697" WHERE "FA Cup apps" = '2' AND "Position" = 'FW' | 0.089844 |
CREATE TABLE jobs (JOB_ID VARCHAR2, JOB_TITLE VARCHAR2, MIN_SALARY NUMBER, MAX_SALARY NUMBER)
CREATE TABLE departments (DEPARTMENT_ID NUMBER, DEPARTMENT_NAME VARCHAR2, MANAGER_ID NUMBER, LOCATION_ID NUMBER)
CREATE TABLE countries (COUNTRY_ID VARCHAR2, COUNTRY_NAME VARCHAR2, REGION_ID NUMBER)
CREATE TABLE regions (REGION_ID NUMBER, REGION_NAME VARCHAR2)
CREATE TABLE locations (LOCATION_ID NUMBER, STREET_ADDRESS VARCHAR2, POSTAL_CODE VARCHAR2, CITY VARCHAR2, STATE_PROVINCE VARCHAR2, COUNTRY_ID VARCHAR2)
CREATE TABLE job_history (EMPLOYEE_ID NUMBER, START_DATE DATE, END_DATE DATE, JOB_ID VARCHAR2, DEPARTMENT_ID NUMBER)
CREATE TABLE employees (EMPLOYEE_ID NUMBER, FIRST_NAME VARCHAR2, LAST_NAME VARCHAR2, EMAIL VARCHAR2, PHONE_NUMBER VARCHAR2, HIRE_DATE DATE, JOB_ID VARCHAR2, SALARY NUMBER, COMMISSION_PCT NUMBER, MANAGER_ID NUMBER, DEPARTMENT_ID NUMBER)
| For those employees who do not work in departments with managers that have ids between 100 and 200, visualize a scatter chart about the correlation between commission_pct and department_id . | SELECT COMMISSION_PCT, DEPARTMENT_ID FROM employees WHERE NOT DEPARTMENT_ID IN (SELECT DEPARTMENT_ID FROM departments WHERE MANAGER_ID BETWEEN 100 AND 200) | SELECT "COMMISSION_PCT", "DEPARTMENT_ID" FROM "employees" WHERE NOT "DEPARTMENT_ID" IN (SELECT "DEPARTMENT_ID" FROM "departments" WHERE "MANAGER_ID" <= 200 AND "MANAGER_ID" >= 100) | 0.175781 |
CREATE TABLE table_28493 ("Week #" CLOB, "Theme" CLOB, "Song choice" CLOB, "Original artist" CLOB, "Order #" CLOB, "Result" CLOB)
| Who was the original artist of the First solo theme? | SELECT "Original artist" FROM table_28493 WHERE "Theme" = 'First Solo' | SELECT "Original artist" FROM "table_28493" WHERE "Theme" = 'First Solo' | 0.070313 |
CREATE TABLE table_595 ("No" FLOAT, "Player" CLOB, "Height" CLOB, "Position" CLOB, "Year born" FLOAT, "Current Club" CLOB)
| What is the height for player number 5? | SELECT COUNT("Height") FROM table_595 WHERE "No" = '5' | SELECT COUNT("Height") FROM "table_595" WHERE "No" = '5' | 0.054688 |
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 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 medication (medicationid NUMBER, patientunitstayid NUMBER, drugname CLOB, dosage CLOB, routeadmin CLOB, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE microlab (microlabid NUMBER, patientunitstayid NUMBER, culturesite CLOB, organism CLOB, culturetakentime TIME)
CREATE TABLE cost (costid NUMBER, uniquepid CLOB, patienthealthsystemstayid NUMBER, eventtype CLOB, eventid NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE intakeoutput (intakeoutputid NUMBER, patientunitstayid NUMBER, cellpath CLOB, celllabel CLOB, cellvaluenumeric NUMBER, intakeoutputtime TIME)
CREATE TABLE vitalperiodic (vitalperiodicid NUMBER, patientunitstayid NUMBER, temperature NUMBER, sao2 NUMBER, heartrate NUMBER, respiration NUMBER, systemicsystolic NUMBER, systemicdiastolic NUMBER, systemicmean NUMBER, observationtime TIME)
CREATE TABLE 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 the minimum hospital cost that includes feeding tube - gastrostomy since 2105? | SELECT MIN(t1.c1) FROM (SELECT SUM(cost.cost) AS c1 FROM cost WHERE cost.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.patientunitstayid IN (SELECT treatment.patientunitstayid FROM treatment WHERE treatment.treatmentname = 'feeding tube - gastrostomy')) AND STRFTIME('%y', cost.chargetime) >= '2105' GROUP BY cost.patienthealthsystemstayid) AS t1 | WITH "_u_0" AS (SELECT "treatment"."patientunitstayid" FROM "treatment" WHERE "treatment"."treatmentname" = 'feeding tube - gastrostomy' GROUP BY "patientunitstayid"), "_u_1" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "patient"."patientunitstayid" WHERE NOT "_u_0"."" IS NULL GROUP BY "patienthealthsystemstayid"), "t1" AS (SELECT SUM("cost"."cost") AS "c1" FROM "cost" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "cost"."patienthealthsystemstayid" WHERE NOT "_u_1"."" IS NULL AND STRFTIME('%y', "cost"."chargetime") >= '2105' GROUP BY "cost"."patienthealthsystemstayid") SELECT MIN("t1"."c1") FROM "t1" "t1" | 0.647461 |
CREATE TABLE table_22855 ("Year" FLOAT, "Worldwide" FLOAT, "Africa" FLOAT, "America" FLOAT, "Asia" FLOAT, "Australia" FLOAT, "Europe" FLOAT)
| What is the most members Europe had when Australia had 94615? | SELECT MAX("Europe") FROM table_22855 WHERE "Australia" = '94615' | SELECT MAX("Europe") FROM "table_22855" WHERE "Australia" = '94615' | 0.06543 |
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 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)
| Show me the number of patients with procedure icd9 code 3972 who died in or before 2179. | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.dod_year <= "2179.0" AND procedures.icd9_code = "3972" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "procedures" ON "3972" = "procedures"."icd9_code" AND "demographic"."hadm_id" = "procedures"."hadm_id" WHERE "2179.0" >= "demographic"."dod_year" | 0.213867 |
CREATE TABLE table_11594 ("Rider" CLOB, "Bike" CLOB, "Laps" FLOAT, "Time" CLOB, "Grid" FLOAT)
| What is the largest lap number when the time was +31.982? | SELECT MAX("Laps") FROM table_11594 WHERE "Time" = '+31.982' | SELECT MAX("Laps") FROM "table_11594" WHERE "Time" = '+31.982' | 0.060547 |
CREATE TABLE table_203_207 (id NUMBER, "site name" CLOB, "reason for designation\ biological interest" NUMBER, "reason for designation\ geological interest" NUMBER, "area\ hectares" NUMBER, "area\ acres" NUMBER, "coordinates & grid ref" CLOB, "year in which notified" NUMBER, "other designations" CLOB, "map & citation" CLOB)
| which is larger -lrb- acres -rrb- carver 's rocks or cawdo quarry | SELECT "site name" FROM table_203_207 WHERE "site name" IN ("carver's rocks", 'cawdor quarry') ORDER BY "area\nacres" DESC LIMIT 1 | SELECT "site name" FROM "table_203_207" WHERE "site name" IN ("carver's rocks", 'cawdor quarry') ORDER BY "area\nacres" DESC FETCH FIRST 1 ROWS ONLY | 0.144531 |
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 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)
| how many patients whose days of hospital stay is greater than 34 and drug route is both eyes? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.days_stay > "34" AND prescriptions.route = "BOTH EYES" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "prescriptions" ON "BOTH EYES" = "prescriptions"."route" AND "demographic"."hadm_id" = "prescriptions"."hadm_id" WHERE "34" < "demographic"."days_stay" | 0.219727 |
CREATE TABLE table_1040 ("Player" CLOB, "Position" CLOB, "Starter" CLOB, "Touchdowns" FLOAT, "Extra points" FLOAT, "Field goals" FLOAT, "Points" FLOAT)
| What is the least amount of touchdowns scored on the chart? | SELECT MIN("Touchdowns") FROM table_1040 | SELECT MIN("Touchdowns") FROM "table_1040" | 0.041016 |
CREATE TABLE table_8702 ("Date" CLOB, "Visitor" CLOB, "Score" CLOB, "Home" CLOB, "Record" CLOB)
| What was teh score of the game where Toronto was the home team on January 28? | SELECT "Score" FROM table_8702 WHERE "Home" = 'toronto' AND "Date" = 'january 28' | SELECT "Score" FROM "table_8702" WHERE "Date" = 'january 28' AND "Home" = 'toronto' | 0.081055 |
CREATE TABLE table_58934 ("Song title" CLOB, "Artist" CLOB, "Decade" CLOB, "Genre" CLOB, "Exportable?" CLOB)
| What decade is the artist the replacements? | SELECT "Decade" FROM table_58934 WHERE "Artist" = 'the replacements' | SELECT "Decade" FROM "table_58934" WHERE "Artist" = 'the replacements' | 0.068359 |
CREATE TABLE table_name_87 (game_site VARCHAR2, week VARCHAR2)
| What was the game site for week 14? | SELECT game_site FROM table_name_87 WHERE week = "14" | SELECT "game_site" FROM "table_name_87" WHERE "14" = "week" | 0.057617 |
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