schema
stringlengths 29
5.42k
| question
stringlengths 0
752
| rejected
stringlengths 2
4.44k
| chosen
stringlengths 4
8.94k
| weight
float64 0
8.73
|
|---|---|---|---|---|
CREATE TABLE table_1282 ("Year / Theme" CLOB, "Award name" CLOB, "Team name" CLOB, "Team number" FLOAT, "City , State/Country" CLOB)
| What award did team 679 win? | SELECT "Award name" FROM table_1282 WHERE "Team number" = '679' | SELECT "Award name" FROM "table_1282" WHERE "Team number" = '679' | 0.063477 |
CREATE TABLE table_61502 ("Tournament" CLOB, "2001" CLOB, "2002" CLOB, "2003" CLOB, "2004" CLOB, "2005" CLOB, "2006" CLOB, "2007" CLOB, "2008" CLOB, "2009" CLOB, "2010" CLOB, "2011" CLOB, "2012" CLOB, "2013" CLOB)
| What's the 2005 result when 2001 is sf? | SELECT "2005" FROM table_61502 WHERE "2001" = 'sf' | SELECT "2005" FROM "table_61502" WHERE "2001" = 'sf' | 0.050781 |
CREATE TABLE medication (medicationid NUMBER, patientunitstayid NUMBER, drugname CLOB, dosage CLOB, routeadmin CLOB, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE vitalperiodic (vitalperiodicid NUMBER, patientunitstayid NUMBER, temperature NUMBER, sao2 NUMBER, heartrate NUMBER, respiration NUMBER, systemicsystolic NUMBER, systemicdiastolic NUMBER, systemicmean NUMBER, observationtime TIME)
CREATE TABLE patient (uniquepid CLOB, patienthealthsystemstayid NUMBER, patientunitstayid NUMBER, gender CLOB, age CLOB, ethnicity CLOB, hospitalid NUMBER, wardid NUMBER, admissionheight NUMBER, admissionweight NUMBER, dischargeweight NUMBER, hospitaladmittime TIME, hospitaladmitsource CLOB, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus CLOB)
CREATE TABLE allergy (allergyid NUMBER, patientunitstayid NUMBER, drugname CLOB, allergyname CLOB, allergytime TIME)
CREATE TABLE 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 lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime TIME)
CREATE TABLE cost (costid NUMBER, uniquepid CLOB, patienthealthsystemstayid NUMBER, eventtype CLOB, eventid NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE diagnosis (diagnosisid NUMBER, patientunitstayid NUMBER, diagnosisname CLOB, diagnosistime TIME, icd9code CLOB)
CREATE TABLE treatment (treatmentid NUMBER, patientunitstayid NUMBER, treatmentname CLOB, treatmenttime TIME)
| how many hours have elapsed since patient 006-123134 received the last pt lab test on this hospital visit? | SELECT 24 * (STRFTIME('%j', CURRENT_TIME()) - STRFTIME('%j', lab.labresulttime)) FROM lab WHERE lab.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '006-123134' AND patient.hospitaldischargetime IS NULL)) AND lab.labname = 'pt' ORDER BY lab.labresulttime DESC LIMIT 1 | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."hospitaldischargetime" IS NULL AND "patient"."uniquepid" = '006-123134' GROUP BY "patienthealthsystemstayid"), "_u_1" AS (SELECT "patient"."patientunitstayid" FROM "patient" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "patient"."patienthealthsystemstayid" WHERE NOT "_u_0"."" IS NULL GROUP BY "patientunitstayid") SELECT 24 * (STRFTIME('%j', CURRENT_TIME()) - STRFTIME('%j', "lab"."labresulttime")) FROM "lab" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "lab"."patientunitstayid" WHERE "lab"."labname" = 'pt' AND NOT "_u_1"."" IS NULL ORDER BY "lab"."labresulttime" DESC FETCH FIRST 1 ROWS ONLY | 0.661133 |
CREATE TABLE table_57953 ("Driver" CLOB, "Constructor" CLOB, "Laps" FLOAT, "Time/Retired" CLOB, "Grid" FLOAT)
| What is the grid total that has a Time/Retired of + 1:33.141, and under 70 laps? | SELECT SUM("Grid") FROM table_57953 WHERE "Time/Retired" = '+ 1:33.141' AND "Laps" < '70' | SELECT SUM("Grid") FROM "table_57953" WHERE "Laps" < '70' AND "Time/Retired" = '+ 1:33.141' | 0.088867 |
CREATE TABLE teachers (lastname CLOB, firstname CLOB, classroom NUMBER)
CREATE TABLE list (lastname CLOB, firstname CLOB, grade NUMBER, classroom NUMBER)
| How many teachers does the student named CHRISSY NABOZNY have? | SELECT COUNT(*) FROM list AS T1 JOIN teachers AS T2 ON T1.classroom = T2.classroom WHERE T1.firstname = "CHRISSY" AND T1.lastname = "NABOZNY" | SELECT COUNT(*) FROM "list" "T1" JOIN "teachers" "T2" ON "T1"."classroom" = "T2"."classroom" WHERE "CHRISSY" = "T1"."firstname" AND "NABOZNY" = "T1"."lastname" | 0.155273 |
CREATE TABLE college (college_id NUMBER, name CLOB, leader_name CLOB, college_location CLOB)
CREATE TABLE member (member_id NUMBER, name CLOB, country CLOB, college_id NUMBER)
CREATE TABLE round (round_id NUMBER, member_id NUMBER, decoration_theme CLOB, rank_in_round NUMBER)
| Show the names of members and the locations of colleges they go to in ascending alphabetical order of member names. | SELECT T2.name, T1.college_location FROM college AS T1 JOIN member AS T2 ON T1.college_id = T2.college_id ORDER BY T2.name | SELECT "T2"."name", "T1"."college_location" FROM "college" "T1" JOIN "member" "T2" ON "T1"."college_id" = "T2"."college_id" ORDER BY "T2"."name" | 0.140625 |
CREATE TABLE table_17402 ("Vendor and type" CLOB, "Models" CLOB, "NetFlow Version" CLOB, "Implementation" CLOB, "Comments" CLOB)
| How many netflow version are there when the vendor and type is enterasys switches? | SELECT COUNT("NetFlow Version") FROM table_17402 WHERE "Vendor and type" = 'Enterasys Switches' | SELECT COUNT("NetFlow Version") FROM "table_17402" WHERE "Vendor and type" = 'Enterasys Switches' | 0.094727 |
CREATE TABLE comment_instructor (instructor_id NUMBER, student_id NUMBER, score NUMBER, comment_text VARCHAR2)
CREATE TABLE student (student_id NUMBER, lastname VARCHAR2, firstname VARCHAR2, program_id NUMBER, declare_major VARCHAR2, total_credit NUMBER, total_gpa FLOAT, entered_as VARCHAR2, admit_term NUMBER, predicted_graduation_semester NUMBER, degree VARCHAR2, minor VARCHAR2, internship VARCHAR2)
CREATE TABLE student_record (student_id NUMBER, course_id NUMBER, semester NUMBER, grade VARCHAR2, how VARCHAR2, transfer_source VARCHAR2, earn_credit VARCHAR2, repeat_term VARCHAR2, test_id VARCHAR2)
CREATE TABLE course_tags_count (course_id NUMBER, clear_grading NUMBER, pop_quiz NUMBER, group_projects NUMBER, inspirational NUMBER, long_lectures NUMBER, extra_credit NUMBER, few_tests NUMBER, good_feedback NUMBER, tough_tests NUMBER, heavy_papers NUMBER, cares_for_students NUMBER, heavy_assignments NUMBER, respected NUMBER, participation NUMBER, heavy_reading NUMBER, tough_grader NUMBER, hilarious NUMBER, would_take_again NUMBER, good_lecture NUMBER, no_skip NUMBER)
CREATE TABLE program_requirement (program_id NUMBER, category VARCHAR2, min_credit NUMBER, additional_req 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 requirement (requirement_id NUMBER, requirement VARCHAR2, college VARCHAR2)
CREATE TABLE semester (semester_id NUMBER, semester VARCHAR2, year NUMBER)
CREATE TABLE gsi (course_offering_id NUMBER, student_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 course_prerequisite (pre_course_id NUMBER, course_id NUMBER)
CREATE TABLE ta (campus_job_id NUMBER, student_id NUMBER, location VARCHAR2)
CREATE TABLE course_offering (offering_id NUMBER, course_id NUMBER, semester NUMBER, section_number NUMBER, start_time TIME, end_time TIME, monday VARCHAR2, tuesday VARCHAR2, wednesday VARCHAR2, thursday VARCHAR2, friday VARCHAR2, saturday VARCHAR2, sunday VARCHAR2, has_final_project VARCHAR2, has_final_exam VARCHAR2, textbook VARCHAR2, class_address VARCHAR2, allow_audit VARCHAR2)
CREATE TABLE program (program_id NUMBER, name VARCHAR2, college VARCHAR2, introduction VARCHAR2)
CREATE TABLE offering_instructor (offering_instructor_id NUMBER, offering_id NUMBER, instructor_id NUMBER)
CREATE TABLE area (course_id NUMBER, area VARCHAR2)
CREATE TABLE instructor (instructor_id NUMBER, name VARCHAR2, uniqname VARCHAR2)
CREATE TABLE program_course (program_id NUMBER, course_id NUMBER, workload NUMBER, category VARCHAR2)
| I could use an easy PHARMACY class . | SELECT DISTINCT course.name, course.number, program_course.workload FROM course, program_course WHERE course.department LIKE '%PHARMACY%' AND program_course.course_id = course.course_id AND program_course.workload < 3 | SELECT DISTINCT "course"."name", "course"."number", "program_course"."workload" FROM "course" JOIN "program_course" ON "course"."course_id" = "program_course"."course_id" AND "program_course"."workload" < 3 WHERE "course"."department" LIKE '%PHARMACY%' | 0.246094 |
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
| How many of the patients admitted before 2129 had icd9 code 5718 | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.admityear < "2129" AND diagnoses.icd9_code = "5718" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "5718" = "diagnoses"."icd9_code" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" WHERE "2129" > "demographic"."admityear" | 0.208984 |
CREATE TABLE table_name_53 (attendance VARCHAR2, opponent VARCHAR2)
| What is the Attendance of the game against Jacksonville Jaguars? | SELECT attendance FROM table_name_53 WHERE opponent = "jacksonville jaguars" | SELECT "attendance" FROM "table_name_53" WHERE "jacksonville jaguars" = "opponent" | 0.080078 |
CREATE TABLE table_name_98 (winner VARCHAR2, prize VARCHAR2)
| Who is the Winner, when the Prize is 880,000? | SELECT winner FROM table_name_98 WHERE prize = "β¬880,000" | SELECT "winner" FROM "table_name_98" WHERE "prize" = "β¬880,000" | 0.061523 |
CREATE TABLE program (program_id NUMBER, name VARCHAR2, college VARCHAR2, introduction VARCHAR2)
CREATE TABLE student_record (student_id NUMBER, course_id NUMBER, semester NUMBER, grade VARCHAR2, how VARCHAR2, transfer_source VARCHAR2, earn_credit VARCHAR2, repeat_term VARCHAR2, test_id VARCHAR2)
CREATE TABLE ta (campus_job_id NUMBER, student_id NUMBER, location VARCHAR2)
CREATE TABLE program_course (program_id NUMBER, course_id NUMBER, workload NUMBER, category VARCHAR2)
CREATE TABLE comment_instructor (instructor_id NUMBER, student_id NUMBER, score NUMBER, comment_text VARCHAR2)
CREATE TABLE area (course_id NUMBER, area VARCHAR2)
CREATE TABLE course_tags_count (course_id NUMBER, clear_grading NUMBER, pop_quiz NUMBER, group_projects NUMBER, inspirational NUMBER, long_lectures NUMBER, extra_credit NUMBER, few_tests NUMBER, good_feedback NUMBER, tough_tests NUMBER, heavy_papers NUMBER, cares_for_students NUMBER, heavy_assignments NUMBER, respected NUMBER, participation NUMBER, heavy_reading NUMBER, tough_grader NUMBER, hilarious NUMBER, would_take_again NUMBER, good_lecture NUMBER, no_skip NUMBER)
CREATE TABLE 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 gsi (course_offering_id NUMBER, student_id NUMBER)
CREATE TABLE semester (semester_id NUMBER, semester VARCHAR2, year NUMBER)
CREATE TABLE course_offering (offering_id NUMBER, course_id NUMBER, semester NUMBER, section_number NUMBER, start_time TIME, end_time TIME, monday VARCHAR2, tuesday VARCHAR2, wednesday VARCHAR2, thursday VARCHAR2, friday VARCHAR2, saturday VARCHAR2, sunday VARCHAR2, has_final_project VARCHAR2, has_final_exam VARCHAR2, textbook VARCHAR2, class_address VARCHAR2, allow_audit VARCHAR2)
CREATE TABLE 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 requirement (requirement_id NUMBER, requirement VARCHAR2, college VARCHAR2)
CREATE TABLE program_requirement (program_id NUMBER, category VARCHAR2, min_credit NUMBER, additional_req VARCHAR2)
CREATE TABLE jobs (job_id NUMBER, job_title VARCHAR2, description VARCHAR2, requirement VARCHAR2, city VARCHAR2, state VARCHAR2, country VARCHAR2, zip NUMBER)
CREATE TABLE course_prerequisite (pre_course_id NUMBER, course_id NUMBER)
CREATE TABLE instructor (instructor_id NUMBER, name VARCHAR2, uniqname VARCHAR2)
| Are there any courses available that provide 13 credits ? | SELECT DISTINCT name, number FROM course WHERE credits = 13 AND department = 'EECS' | SELECT DISTINCT "name", "number" FROM "course" WHERE "credits" = 13 AND "department" = 'EECS' | 0.09082 |
CREATE TABLE table_14312471_4 (ground VARCHAR2, crowd VARCHAR2)
| What are the ground where the crowd totals 19929? | SELECT ground FROM table_14312471_4 WHERE crowd = 19929 | SELECT "ground" FROM "table_14312471_4" WHERE "crowd" = 19929 | 0.05957 |
CREATE TABLE table_237757_9 (position VARCHAR2, nasl_club_s_ VARCHAR2)
| What position is Philadelphia Fury? | SELECT position FROM table_237757_9 WHERE nasl_club_s_ = "Philadelphia Fury" | SELECT "position" FROM "table_237757_9" WHERE "Philadelphia Fury" = "nasl_club_s_" | 0.080078 |
CREATE TABLE table_14342480_6 (starter VARCHAR2, position VARCHAR2)
| Name the starter for position being left end | SELECT starter FROM table_14342480_6 WHERE position = "Left end" | SELECT "starter" FROM "table_14342480_6" WHERE "Left end" = "position" | 0.068359 |
CREATE TABLE table_16586 ("Country" CLOB, "Carbon dioxide emissions per year ( 10 6 Tons ) ( 2006 ) " FLOAT, "Percentage of global total" CLOB, "Avg. emission per km 2 of its land ( tons ) " FLOAT, "Carbon dioxide emissions per year ( Tons per person ) ( 2007 ) " CLOB)
| WHAT WAS THE AVERAGE EMISSION PER KM 2 IN INDIA? | SELECT MAX("Avg. emission per km 2 of its land (tons)") FROM table_16586 WHERE "Country" = 'India' | SELECT MAX("Avg. emission per km 2 of its land (tons)") FROM "table_16586" WHERE "Country" = 'India' | 0.097656 |
CREATE TABLE table_name_32 (game NUMBER, date VARCHAR2)
| What is the average game that has December 17 as the date? | SELECT AVG(game) FROM table_name_32 WHERE date = "december 17" | SELECT AVG("game") FROM "table_name_32" WHERE "date" = "december 17" | 0.066406 |
CREATE TABLE table_29221 ("Pick #" FLOAT, "CFL Team" CLOB, "Player" CLOB, "Position" CLOB, "College" CLOB)
| where cfl team is edmonton (2) what are all the position | SELECT "Position" FROM table_29221 WHERE "CFL Team" = 'Edmonton (2)' | SELECT "Position" FROM "table_29221" WHERE "CFL Team" = 'Edmonton (2)' | 0.068359 |
CREATE TABLE table_58301 ("Channel" CLOB, "Description" CLOB, "Financed by" CLOB, "Owned by" CLOB, "Launched" FLOAT)
| What was the channel that was financed by commercials? | SELECT "Channel" FROM table_58301 WHERE "Financed by" = 'commercials' | SELECT "Channel" FROM "table_58301" WHERE "Financed by" = 'commercials' | 0.069336 |
CREATE TABLE table_name_78 (date VARCHAR2, result_f_a VARCHAR2, opponent VARCHAR2)
| What day did they play the bolton wanderers with a result F A of 1 2? | SELECT date FROM table_name_78 WHERE result_f_a = "1β2" AND opponent = "bolton wanderers" | SELECT "date" FROM "table_name_78" WHERE "1β2" = "result_f_a" AND "bolton wanderers" = "opponent" | 0.094727 |
CREATE TABLE table_16534 ("Year" FLOAT, "Numer of Jamaicans granted British citizenship" FLOAT, "Naturalisation by residence" FLOAT, "Naturalisation by marriage" FLOAT, "Registration of a minor child" FLOAT, "Registration by other means" FLOAT)
| what is the maximum year with registration of a minor child being 281 | SELECT MAX("Year") FROM table_16534 WHERE "Registration of a minor child" = '281' | SELECT MAX("Year") FROM "table_16534" WHERE "Registration of a minor child" = '281' | 0.081055 |
CREATE TABLE table_name_32 (genre VARCHAR2, game VARCHAR2)
| What is the genre for Portal 2? | SELECT genre FROM table_name_32 WHERE game = "portal 2" | SELECT "genre" FROM "table_name_32" WHERE "game" = "portal 2" | 0.05957 |
CREATE TABLE captain (Captain_ID NUMBER, Name CLOB, Ship_ID NUMBER, age CLOB, Class CLOB, Rank CLOB)
CREATE TABLE Ship (Ship_ID NUMBER, Name CLOB, Type CLOB, Built_Year FLOAT, Class CLOB, Flag CLOB)
| Tell me the proportion of the total number of different ranks using a bar graph. | SELECT Rank, COUNT(Rank) FROM captain GROUP BY Rank | SELECT "Rank", COUNT("Rank") FROM "captain" GROUP BY "Rank" | 0.057617 |
CREATE TABLE Ref_Detention_Type (detention_type_code VARCHAR2, detention_type_description 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 Students_in_Detention (student_id NUMBER, detention_id NUMBER, incident_id NUMBER)
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 Ref_Incident_Type (incident_type_code VARCHAR2, incident_type_description VARCHAR2)
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)
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 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 Student_Addresses (student_id NUMBER, address_id NUMBER, date_address_from DATETIME, date_address_to DATETIME, monthly_rental NUMBER, other_details VARCHAR2)
CREATE TABLE Ref_Address_Types (address_type_code VARCHAR2, address_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)
| Draw a bar chart about the distribution of other_details and the average of monthly_rental , and group by attribute other_details. | SELECT other_details, AVG(monthly_rental) FROM Student_Addresses GROUP BY other_details ORDER BY monthly_rental DESC | SELECT "other_details", AVG("monthly_rental") FROM "Student_Addresses" GROUP BY "other_details" ORDER BY "monthly_rental" DESC | 0.123047 |
CREATE TABLE table_29944 ("Game" FLOAT, "Date" CLOB, "Team" CLOB, "Score" CLOB, "High points" CLOB, "High rebounds" CLOB, "High assists" CLOB, "Location Attendance" CLOB, "Record" CLOB)
| What was the score of the game in which Danny Granger (30) did the high points? | SELECT "Score" FROM table_29944 WHERE "High points" = 'Danny Granger (30)' | SELECT "Score" FROM "table_29944" WHERE "High points" = 'Danny Granger (30)' | 0.074219 |
CREATE TABLE table_64829 ("Rank" CLOB, "Nation" CLOB, "Gold" FLOAT, "Silver" FLOAT, "Bronze" FLOAT, "Total" FLOAT)
| How many bronzes have west germany as the nation? | SELECT SUM("Bronze") FROM table_64829 WHERE "Nation" = 'west germany' | SELECT SUM("Bronze") FROM "table_64829" WHERE "Nation" = 'west germany' | 0.069336 |
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 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 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 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 ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment CLOB)
CREATE TABLE ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId 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 PostHistory (Id NUMBER, PostHistoryTypeId NUMBER, PostId NUMBER, RevisionGUID other, CreationDate TIME, UserId NUMBER, UserDisplayName CLOB, Comment CLOB, Text CLOB, ContentLicense CLOB)
CREATE TABLE SuggestedEditVotes (Id NUMBER, SuggestedEditId NUMBER, UserId NUMBER, VoteTypeId NUMBER, CreationDate TIME, TargetUserId NUMBER, TargetRepChange NUMBER)
CREATE TABLE PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
CREATE TABLE Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount NUMBER)
CREATE TABLE Posts (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE 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 Comments (Id NUMBER, PostId NUMBER, Score NUMBER, Text CLOB, CreationDate TIME, UserDisplayName CLOB, UserId NUMBER, ContentLicense CLOB)
CREATE TABLE PostTypes (Id NUMBER, Name CLOB)
CREATE TABLE Users (Id NUMBER, Reputation NUMBER, CreationDate TIME, DisplayName CLOB, LastAccessDate TIME, WebsiteUrl CLOB, Location CLOB, AboutMe CLOB, Views NUMBER, UpVotes NUMBER, DownVotes NUMBER, ProfileImageUrl CLOB, EmailHash CLOB, AccountId NUMBER)
CREATE TABLE FlagTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE CloseReasonTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE ReviewTaskTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostHistoryTypes (Id NUMBER, Name CLOB)
CREATE TABLE PostTags (PostId NUMBER, TagId NUMBER)
CREATE TABLE Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
CREATE TABLE PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId NUMBER)
CREATE TABLE PendingFlags (Id NUMBER, FlagTypeId NUMBER, PostId NUMBER, CreationDate TIME, CloseReasonTypeId NUMBER, CloseAsOffTopicReasonTypeId NUMBER, DuplicateOfQuestionId NUMBER, BelongsOnBaseHostAddress CLOB)
CREATE TABLE ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId NUMBER)
| Top tags by average score of recent questions. | SELECT MIN(t.TagName) AS "tagname", AVG(p.Score) AS avgScore, COUNT(p.Id) AS nposts FROM Posts AS p INNER JOIN PostTags AS pt ON p.Id = pt.PostId INNER JOIN Tags AS t ON pt.TagId = t.Id WHERE p.PostTypeId = 1 GROUP BY pt.TagId HAVING COUNT(*) >= 30 ORDER BY AVG(p.Score) DESC LIMIT 50 | SELECT MIN("t"."TagName") AS "tagname", AVG("p"."Score") AS "avgScore", COUNT("p"."Id") AS "nposts" FROM "Posts" "p" JOIN "PostTags" "pt" ON "p"."Id" = "pt"."PostId" JOIN "Tags" "t" ON "pt"."TagId" = "t"."Id" WHERE "p"."PostTypeId" = 1 GROUP BY "pt"."TagId" HAVING COUNT(*) >= 30 ORDER BY AVG("p"."Score") DESC FETCH FIRST 50 ROWS ONLY | 0.327148 |
CREATE TABLE table_46325 ("Rank" FLOAT, "Nation" CLOB, "Gold" FLOAT, "Silver" FLOAT, "Bronze" FLOAT, "Total" FLOAT)
| Which is the highest silver that has a gold less than 0? | SELECT MAX("Silver") FROM table_46325 WHERE "Gold" < '0' | SELECT MAX("Silver") FROM "table_46325" WHERE "Gold" < '0' | 0.056641 |
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
| count the number of private health insurance patients with procedure icd9 code 4523. | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.insurance = "Private" AND procedures.icd9_code = "4523" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "procedures" ON "4523" = "procedures"."icd9_code" AND "demographic"."hadm_id" = "procedures"."hadm_id" WHERE "Private" = "demographic"."insurance" | 0.214844 |
CREATE TABLE table_60585 ("Shooter" CLOB, "Event" CLOB, "Rank points" CLOB, "Score points" CLOB, "Total" CLOB)
| What is the score points when the total is 16? | SELECT "Score points" FROM table_60585 WHERE "Total" = '16' | SELECT "Score points" FROM "table_60585" WHERE "Total" = '16' | 0.05957 |
CREATE TABLE writes (paperid NUMBER, authorid NUMBER)
CREATE TABLE keyphrase (keyphraseid NUMBER, keyphrasename VARCHAR2)
CREATE TABLE journal (journalid NUMBER, journalname VARCHAR2)
CREATE TABLE venue (venueid NUMBER, venuename VARCHAR2)
CREATE TABLE dataset (datasetid NUMBER, datasetname VARCHAR2)
CREATE TABLE paperkeyphrase (paperid NUMBER, keyphraseid NUMBER)
CREATE TABLE paperfield (fieldid NUMBER, paperid NUMBER)
CREATE TABLE paperdataset (paperid NUMBER, datasetid NUMBER)
CREATE TABLE cite (citingpaperid NUMBER, citedpaperid NUMBER)
CREATE TABLE author (authorid NUMBER, authorname VARCHAR2)
CREATE TABLE field (fieldid NUMBER)
CREATE TABLE paper (paperid NUMBER, title VARCHAR2, venueid NUMBER, year NUMBER, numciting NUMBER, numcitedby NUMBER, journalid NUMBER)
| When did qiang ma publish his MapReduce paper ? | SELECT DISTINCT paper.year FROM author, keyphrase, paper, paperkeyphrase, writes WHERE author.authorname = 'qiang ma' AND keyphrase.keyphrasename = 'MapReduce' AND paperkeyphrase.keyphraseid = keyphrase.keyphraseid AND paper.paperid = paperkeyphrase.paperid AND writes.authorid = author.authorid AND writes.paperid = paper.paperid | SELECT DISTINCT "paper"."year" FROM "author" JOIN "writes" ON "author"."authorid" = "writes"."authorid" JOIN "paper" ON "paper"."paperid" = "writes"."paperid" JOIN "paperkeyphrase" ON "paper"."paperid" = "paperkeyphrase"."paperid" JOIN "keyphrase" ON "keyphrase"."keyphraseid" = "paperkeyphrase"."keyphraseid" AND "keyphrase"."keyphrasename" = 'MapReduce' WHERE "author"."authorname" = 'qiang ma' | 0.386719 |
CREATE TABLE table_7064 ("Institution" CLOB, "Location" CLOB, "Founded" FLOAT, "Affiliation" CLOB, "Enrollment" FLOAT, "Team Nickname" CLOB, "Primary conference" CLOB)
| What Location has a Team Nickname called the Fighting Missionaries? | SELECT "Location" FROM table_7064 WHERE "Team Nickname" = 'fighting missionaries' | SELECT "Location" FROM "table_7064" WHERE "Team Nickname" = 'fighting missionaries' | 0.081055 |
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
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)
| calculate the number of male patients admitted before 2138. | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.gender = "M" AND demographic.admityear < "2138" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "2138" > "demographic"."admityear" AND "M" = "demographic"."gender" | 0.138672 |
CREATE TABLE ReviewTaskStates (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE SuggestedEdits (Id NUMBER, PostId NUMBER, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId NUMBER, Comment CLOB, Text CLOB, Title CLOB, Tags CLOB, RevisionGUID other)
CREATE TABLE CloseAsOffTopicReasonTypes (Id NUMBER, IsUniversal BOOLEAN, InputTitle CLOB, MarkdownInputGuidance CLOB, MarkdownPostOwnerGuidance CLOB, MarkdownPrivilegedUserGuidance CLOB, MarkdownConcensusDescription CLOB, CreationDate TIME, CreationModeratorId NUMBER, ApprovalDate TIME, ApprovalModeratorId NUMBER, DeactivationDate TIME, DeactivationModeratorId NUMBER)
CREATE TABLE PostTypes (Id NUMBER, Name CLOB)
CREATE TABLE PostTags (PostId NUMBER, TagId NUMBER)
CREATE TABLE Users (Id NUMBER, Reputation NUMBER, CreationDate TIME, DisplayName CLOB, LastAccessDate TIME, WebsiteUrl CLOB, Location CLOB, AboutMe CLOB, Views NUMBER, UpVotes NUMBER, DownVotes NUMBER, ProfileImageUrl CLOB, EmailHash CLOB, AccountId NUMBER)
CREATE TABLE ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment CLOB)
CREATE TABLE PostHistoryTypes (Id NUMBER, Name CLOB)
CREATE TABLE PendingFlags (Id NUMBER, FlagTypeId NUMBER, PostId NUMBER, CreationDate TIME, CloseReasonTypeId NUMBER, CloseAsOffTopicReasonTypeId NUMBER, DuplicateOfQuestionId NUMBER, BelongsOnBaseHostAddress CLOB)
CREATE TABLE Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount NUMBER)
CREATE TABLE SuggestedEditVotes (Id NUMBER, SuggestedEditId NUMBER, UserId NUMBER, VoteTypeId NUMBER, CreationDate TIME, TargetUserId NUMBER, TargetRepChange NUMBER)
CREATE TABLE PostHistory (Id NUMBER, PostHistoryTypeId NUMBER, PostId NUMBER, RevisionGUID other, CreationDate TIME, UserId NUMBER, UserDisplayName CLOB, Comment CLOB, Text CLOB, ContentLicense CLOB)
CREATE TABLE TagSynonyms (Id NUMBER, SourceTagName CLOB, TargetTagName CLOB, CreationDate TIME, OwnerUserId NUMBER, AutoRenameCount NUMBER, LastAutoRename TIME, Score NUMBER, ApprovedByUserId NUMBER, ApprovalDate TIME)
CREATE TABLE ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId NUMBER)
CREATE TABLE PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
CREATE TABLE Posts (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId NUMBER)
CREATE TABLE PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId NUMBER)
CREATE TABLE FlagTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
CREATE TABLE ReviewTaskTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
CREATE TABLE PostsWithDeleted (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE ReviewTaskResultTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
CREATE TABLE Comments (Id NUMBER, PostId NUMBER, Score NUMBER, Text CLOB, CreationDate TIME, UserDisplayName CLOB, UserId NUMBER, ContentLicense CLOB)
CREATE TABLE CloseReasonTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
CREATE TABLE VoteTypes (Id NUMBER, Name CLOB)
| Posts by user 'Zeta' sorted by length. | SELECT Id AS "post_link", CreationDate, LENGTH(Body) AS "answer_length" FROM Posts WHERE OwnerUserId = @userId GROUP BY Id, PostTypeId, CreationDate, LENGTH(Body) ORDER BY 'answer_length' DESC | SELECT "Id" AS "post_link", "CreationDate", LENGTH("Body") AS "answer_length" FROM "Posts" WHERE "OwnerUserId" = @userId GROUP BY "Id", "PostTypeId", "CreationDate", LENGTH("Body") ORDER BY 'answer_length' DESC | 0.205078 |
CREATE TABLE table_name_91 (national_cup VARCHAR2, club VARCHAR2)
| What national cup has fc barcelona? | SELECT national_cup FROM table_name_91 WHERE club = "fc barcelona" | SELECT "national_cup" FROM "table_name_91" WHERE "club" = "fc barcelona" | 0.070313 |
CREATE TABLE constructorResults (constructorResultsId NUMBER, raceId NUMBER, constructorId NUMBER, points FLOAT, status CLOB)
CREATE TABLE drivers (driverId NUMBER, driverRef CLOB, number CLOB, code CLOB, forename CLOB, surname CLOB, dob CLOB, nationality CLOB, url CLOB)
CREATE TABLE qualifying (qualifyId NUMBER, raceId NUMBER, driverId NUMBER, constructorId NUMBER, number NUMBER, position NUMBER, q1 CLOB, q2 CLOB, q3 CLOB)
CREATE TABLE pitStops (raceId NUMBER, driverId NUMBER, stop NUMBER, lap NUMBER, time CLOB, duration CLOB, milliseconds NUMBER)
CREATE TABLE constructorStandings (constructorStandingsId NUMBER, raceId NUMBER, constructorId NUMBER, points FLOAT, position NUMBER, positionText CLOB, wins NUMBER)
CREATE TABLE races (raceId NUMBER, year NUMBER, round NUMBER, circuitId NUMBER, name CLOB, date CLOB, time CLOB, url CLOB)
CREATE TABLE results (resultId NUMBER, raceId NUMBER, driverId NUMBER, constructorId NUMBER, number NUMBER, grid NUMBER, position CLOB, positionText CLOB, positionOrder NUMBER, points FLOAT, laps CLOB, time CLOB, milliseconds CLOB, fastestLap CLOB, rank CLOB, fastestLapTime CLOB, fastestLapSpeed CLOB, statusId NUMBER)
CREATE TABLE status (statusId NUMBER, status CLOB)
CREATE TABLE lapTimes (raceId NUMBER, driverId NUMBER, lap NUMBER, position NUMBER, time CLOB, milliseconds NUMBER)
CREATE TABLE circuits (circuitId NUMBER, circuitRef CLOB, name CLOB, location CLOB, country CLOB, lat FLOAT, lng FLOAT, alt CLOB, url CLOB)
CREATE TABLE driverStandings (driverStandingsId NUMBER, raceId NUMBER, driverId NUMBER, points FLOAT, position NUMBER, positionText CLOB, wins NUMBER)
CREATE TABLE seasons (year NUMBER, url CLOB)
CREATE TABLE constructors (constructorId NUMBER, constructorRef CLOB, name CLOB, nationality CLOB, url CLOB)
| What are the names of races held between 2009 and 2011, and count them by a bar chart, and rank from low to high by the X-axis. | SELECT name, COUNT(name) FROM races WHERE year BETWEEN 2009 AND 2011 GROUP BY name ORDER BY name | SELECT "name", COUNT("name") FROM "races" WHERE "year" <= 2011 AND "year" >= 2009 GROUP BY "name" ORDER BY "name" | 0.110352 |
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
| what is the average age of patients who are widowed and have admission location of transfer from hosp/extram? | SELECT AVG(demographic.age) FROM demographic WHERE demographic.marital_status = "WIDOWED" AND demographic.admission_location = "TRANSFER FROM HOSP/EXTRAM" | SELECT AVG("demographic"."age") FROM "demographic" WHERE "TRANSFER FROM HOSP/EXTRAM" = "demographic"."admission_location" AND "WIDOWED" = "demographic"."marital_status" | 0.164063 |
CREATE TABLE table_3395 ("Skip ( Club ) " CLOB, "W" FLOAT, "L" FLOAT, "PF" FLOAT, "PA" FLOAT, "Ends Won" FLOAT, "Ends Lost" FLOAT, "Blank Ends" FLOAT, "Stolen Ends" FLOAT)
| How many skip's are listed for 30 ends won? | SELECT COUNT("Skip (Club)") FROM table_3395 WHERE "Ends Won" = '30' | SELECT COUNT("Skip (Club)") FROM "table_3395" WHERE "Ends Won" = '30' | 0.067383 |
CREATE TABLE table_name_87 (population__2004_est_ VARCHAR2, hanzi VARCHAR2)
| What is the 2004 population for ? | SELECT population__2004_est_ FROM table_name_87 WHERE hanzi = "ζι»εΏ" | SELECT "population__2004_est_" FROM "table_name_87" WHERE "hanzi" = "ζι»εΏ" | 0.071289 |
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)
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 locations (LOCATION_ID NUMBER, STREET_ADDRESS VARCHAR2, POSTAL_CODE VARCHAR2, CITY VARCHAR2, STATE_PROVINCE VARCHAR2, COUNTRY_ID VARCHAR2)
| For those employees who do not work in departments with managers that have ids between 100 and 200, a bar chart shows 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 category (id NUMBER, business_id VARCHAR2, category_name VARCHAR2)
CREATE TABLE user (uid NUMBER, user_id VARCHAR2, name VARCHAR2)
CREATE TABLE checkin (cid NUMBER, business_id VARCHAR2, count NUMBER, day VARCHAR2)
CREATE TABLE business (bid NUMBER, business_id VARCHAR2, name VARCHAR2, full_address VARCHAR2, city VARCHAR2, latitude VARCHAR2, longitude VARCHAR2, review_count NUMBER, is_open NUMBER, rating FLOAT, state VARCHAR2)
CREATE TABLE neighborhood (id NUMBER, business_id VARCHAR2, neighborhood_name VARCHAR2)
CREATE TABLE tip (tip_id NUMBER, business_id VARCHAR2, text TEXT, user_id VARCHAR2, likes NUMBER, year NUMBER, month VARCHAR2)
CREATE TABLE review (rid NUMBER, business_id VARCHAR2, user_id VARCHAR2, rating FLOAT, text TEXT, year NUMBER, month VARCHAR2)
| Find all Bars in ' Los Angeles ' with at least 30 reviews and average rating above 3 stars | SELECT business.name FROM business, category WHERE business.city = 'Los Angeles' AND business.rating > 3 AND business.review_count > 30 AND category.business_id = business.business_id AND category.category_name = 'Bars' | SELECT "business"."name" FROM "business" JOIN "category" ON "business"."business_id" = "category"."business_id" AND "category"."category_name" = 'Bars' WHERE "business"."city" = 'Los Angeles' AND "business"."rating" > 3 AND "business"."review_count" > 30 | 0.248047 |
CREATE TABLE postseason (YEAR VARCHAR2, ties VARCHAR2)
| How many games in 1885 postseason resulted in ties (that is, the value of 'ties' is '1')? | SELECT COUNT(*) FROM postseason WHERE YEAR = 1885 AND ties = 1 | SELECT COUNT(*) FROM "postseason" WHERE "YEAR" = 1885 AND "ties" = 1 | 0.066406 |
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
| count the number of patients whose language is ptun and year of birth is less than 2064? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.language = "PTUN" AND demographic.dob_year < "2064" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "2064" > "demographic"."dob_year" AND "PTUN" = "demographic"."language" | 0.142578 |
CREATE TABLE ground_service (city_code CLOB, airport_code CLOB, transport_type CLOB, ground_fare NUMBER)
CREATE TABLE code_description (code VARCHAR2, description CLOB)
CREATE TABLE food_service (meal_code CLOB, meal_number NUMBER, compartment CLOB, meal_description VARCHAR2)
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 equipment_sequence (aircraft_code_sequence VARCHAR2, aircraft_code VARCHAR2)
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 dual_carrier (main_airline VARCHAR2, low_flight_number NUMBER, high_flight_number NUMBER, dual_airline VARCHAR2, service_name CLOB)
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 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 days (days_code VARCHAR2, day_name VARCHAR2)
CREATE TABLE compartment_class (compartment VARCHAR2, class_type VARCHAR2)
CREATE TABLE airport (airport_code VARCHAR2, airport_name CLOB, airport_location CLOB, state_code VARCHAR2, country_name VARCHAR2, time_zone_code VARCHAR2, minimum_connect_time NUMBER)
CREATE TABLE airline (airline_code VARCHAR2, airline_name CLOB, note 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 time_interval (period CLOB, begin_time NUMBER, end_time NUMBER)
CREATE TABLE flight (aircraft_code_sequence CLOB, airline_code VARCHAR2, airline_flight CLOB, arrival_time NUMBER, connections NUMBER, departure_time NUMBER, dual_carrier CLOB, flight_days CLOB, flight_id NUMBER, flight_number NUMBER, from_airport VARCHAR2, meal_code CLOB, stops NUMBER, time_elapsed NUMBER, to_airport VARCHAR2)
CREATE TABLE 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 date_day (month_number NUMBER, day_number NUMBER, year NUMBER, day_name VARCHAR2)
CREATE TABLE time_zone (time_zone_code CLOB, time_zone_name CLOB, hours_from_gmt NUMBER)
CREATE TABLE airport_service (city_code VARCHAR2, airport_code VARCHAR2, miles_distant NUMBER, direction VARCHAR2, minutes_distant NUMBER)
CREATE TABLE flight_leg (flight_id NUMBER, leg_number NUMBER, leg_flight NUMBER)
CREATE TABLE flight_fare (flight_id NUMBER, fare_id NUMBER)
CREATE TABLE state (state_code CLOB, state_name CLOB, country_name CLOB)
CREATE TABLE month (month_number NUMBER, month_name CLOB)
| show me any show me what the FIRST class fares are of the flights from PITTSBURGH to SAN FRANCISCO on monday | 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, date_day AS DATE_DAY_0, date_day AS DATE_DAY_1, days AS DAYS_0, days AS DAYS_1, fare, fare_basis AS FARE_BASIS_0, fare_basis AS FARE_BASIS_1, flight, flight_fare WHERE ((CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'SAN FRANCISCO' AND DATE_DAY_1.day_number = 21 AND DATE_DAY_1.month_number = 2 AND DATE_DAY_1.year = 1991 AND DAYS_1.day_name = DATE_DAY_1.day_name AND flight.flight_days = DAYS_1.days_code AND flight.to_airport = AIRPORT_SERVICE_1.airport_code) AND CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'PITTSBURGH' AND DATE_DAY_0.day_number = 21 AND DATE_DAY_0.month_number = 2 AND DATE_DAY_0.year = 1991 AND DAYS_0.day_name = DATE_DAY_0.day_name AND FARE_BASIS_1.basis_days = DAYS_0.days_code AND fare.fare_basis_code = FARE_BASIS_1.fare_basis_code AND flight_fare.fare_id = fare.fare_id AND flight.flight_id = flight_fare.flight_id AND flight.from_airport = AIRPORT_SERVICE_0.airport_code) AND FARE_BASIS_0.class_type = 'FIRST' AND fare.fare_basis_code = FARE_BASIS_0.fare_basis_code | SELECT DISTINCT "fare"."fare_id" FROM "airport_service" "AIRPORT_SERVICE_0" JOIN "date_day" "DATE_DAY_0" ON "DATE_DAY_0"."day_number" = 21 AND "DATE_DAY_0"."month_number" = 2 AND "DATE_DAY_0"."year" = 1991 JOIN "date_day" "DATE_DAY_1" ON "DATE_DAY_1"."day_number" = 21 AND "DATE_DAY_1"."month_number" = 2 AND "DATE_DAY_1"."year" = 1991 JOIN "city" "CITY_0" ON "AIRPORT_SERVICE_0"."city_code" = "CITY_0"."city_code" AND "CITY_0"."city_name" = 'PITTSBURGH' JOIN "days" "DAYS_0" ON "DATE_DAY_0"."day_name" = "DAYS_0"."day_name" JOIN "days" "DAYS_1" ON "DATE_DAY_1"."day_name" = "DAYS_1"."day_name" JOIN "fare_basis" "FARE_BASIS_1" ON "DAYS_0"."days_code" = "FARE_BASIS_1"."basis_days" JOIN "flight" ON "AIRPORT_SERVICE_0"."airport_code" = "flight"."from_airport" AND "DAYS_1"."days_code" = "flight"."flight_days" 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" = 'SAN FRANCISCO' JOIN "fare" ON "FARE_BASIS_1"."fare_basis_code" = "fare"."fare_basis_code" AND "fare"."fare_id" = "flight_fare"."fare_id" JOIN "fare_basis" "FARE_BASIS_0" ON "FARE_BASIS_0"."class_type" = 'FIRST' AND "FARE_BASIS_0"."fare_basis_code" = "fare"."fare_basis_code" | 1.334961 |
CREATE TABLE table_25782 ("Game" FLOAT, "Date" CLOB, "Team" CLOB, "Score" CLOB, "High points" CLOB, "High rebounds" CLOB, "High assists" CLOB, "Location Attendance" CLOB, "Record" CLOB)
| What was the record when the high rebounds was david lee (8) | SELECT "Record" FROM table_25782 WHERE "High rebounds" = 'David Lee (8)' | SELECT "Record" FROM "table_25782" WHERE "High rebounds" = 'David Lee (8)' | 0.072266 |
CREATE TABLE submission (Submission_ID NUMBER, Scores FLOAT, Author CLOB, College CLOB)
CREATE TABLE Acceptance (Submission_ID NUMBER, Workshop_ID NUMBER, Result CLOB)
CREATE TABLE workshop (Workshop_ID NUMBER, Date CLOB, Venue CLOB, Name CLOB)
| A pie chart shows the venue for each workshop. | SELECT Venue, COUNT(Venue) FROM workshop GROUP BY Venue | SELECT "Venue", COUNT("Venue") FROM "workshop" GROUP BY "Venue" | 0.061523 |
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 employees (EMPLOYEE_ID NUMBER, FIRST_NAME VARCHAR2, LAST_NAME VARCHAR2, EMAIL VARCHAR2, PHONE_NUMBER VARCHAR2, HIRE_DATE DATE, JOB_ID VARCHAR2, SALARY NUMBER, COMMISSION_PCT NUMBER, MANAGER_ID NUMBER, DEPARTMENT_ID NUMBER)
CREATE TABLE jobs (JOB_ID VARCHAR2, JOB_TITLE VARCHAR2, MIN_SALARY NUMBER, MAX_SALARY NUMBER)
CREATE TABLE job_history (EMPLOYEE_ID NUMBER, START_DATE DATE, END_DATE DATE, JOB_ID VARCHAR2, DEPARTMENT_ID NUMBER)
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, draw a scatter chart about the correlation between employee_id and manager_id . | SELECT EMPLOYEE_ID, MANAGER_ID FROM employees WHERE NOT EMPLOYEE_ID IN (SELECT EMPLOYEE_ID FROM job_history) | SELECT "EMPLOYEE_ID", "MANAGER_ID" FROM "employees" WHERE NOT "EMPLOYEE_ID" IN (SELECT "EMPLOYEE_ID" FROM "job_history") | 0.117188 |
CREATE TABLE checkin (cid NUMBER, business_id VARCHAR2, count NUMBER, day VARCHAR2)
CREATE TABLE category (id NUMBER, business_id VARCHAR2, category_name VARCHAR2)
CREATE TABLE neighborhood (id NUMBER, business_id VARCHAR2, neighborhood_name VARCHAR2)
CREATE TABLE review (rid NUMBER, business_id VARCHAR2, user_id VARCHAR2, rating FLOAT, text TEXT, year NUMBER, month VARCHAR2)
CREATE TABLE business (bid NUMBER, business_id VARCHAR2, name VARCHAR2, full_address VARCHAR2, city VARCHAR2, latitude VARCHAR2, longitude VARCHAR2, review_count NUMBER, is_open NUMBER, rating FLOAT, state VARCHAR2)
CREATE TABLE tip (tip_id NUMBER, business_id VARCHAR2, text TEXT, user_id VARCHAR2, likes NUMBER, year NUMBER, month VARCHAR2)
CREATE TABLE user (uid NUMBER, user_id VARCHAR2, name VARCHAR2)
| what is the average rating given in Michelle reviews | SELECT AVG(review.rating) FROM review, user WHERE user.name = 'Michelle' AND user.user_id = review.user_id | SELECT AVG("review"."rating") FROM "review" JOIN "user" ON "review"."user_id" = "user"."user_id" AND "user"."name" = 'Michelle' | 0.124023 |
CREATE TABLE table_33222 ("Country" CLOB, "Currency" CLOB, "Value in Euro" CLOB, "Value in USD" FLOAT, "Central Bank" CLOB)
| Which country uses pound sterling with a value higher than 1.33 USD? | SELECT "Country" FROM table_33222 WHERE "Value in USD" > '1.33' AND "Currency" = 'pound sterling' | SELECT "Country" FROM "table_33222" WHERE "Currency" = 'pound sterling' AND "Value in USD" > '1.33' | 0.09668 |
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 regions (REGION_ID NUMBER, REGION_NAME VARCHAR2)
CREATE TABLE countries (COUNTRY_ID VARCHAR2, COUNTRY_NAME VARCHAR2, REGION_ID 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)
CREATE TABLE locations (LOCATION_ID NUMBER, STREET_ADDRESS VARCHAR2, POSTAL_CODE VARCHAR2, CITY VARCHAR2, STATE_PROVINCE VARCHAR2, COUNTRY_ID VARCHAR2)
| 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 hire_date and the amount of hire_date bin hire_date by time, could you sort from low to high by the how many hire date? | SELECT HIRE_DATE, COUNT(HIRE_DATE) FROM employees WHERE NOT DEPARTMENT_ID IN (SELECT DEPARTMENT_ID FROM departments WHERE MANAGER_ID BETWEEN 100 AND 200) ORDER BY COUNT(HIRE_DATE) | SELECT "HIRE_DATE", COUNT("HIRE_DATE") FROM "employees" WHERE NOT "DEPARTMENT_ID" IN (SELECT "DEPARTMENT_ID" FROM "departments" WHERE "MANAGER_ID" <= 200 AND "MANAGER_ID" >= 100) ORDER BY COUNT("HIRE_DATE") | 0.201172 |
CREATE TABLE table_76206 ("Region" CLOB, "Date" CLOB, "Label" CLOB, "Format" CLOB, "Catalog" CLOB)
| What Label has the Region of Australia? | SELECT "Label" FROM table_76206 WHERE "Region" = 'australia' | SELECT "Label" FROM "table_76206" WHERE "Region" = 'australia' | 0.060547 |
CREATE TABLE university (School_ID NUMBER, School CLOB, Location CLOB, Founded FLOAT, Affiliation CLOB, Enrollment FLOAT, Nickname CLOB, Primary_conference CLOB)
CREATE TABLE basketball_match (Team_ID NUMBER, School_ID NUMBER, Team_Name CLOB, ACC_Regular_Season CLOB, ACC_Percent CLOB, ACC_Home CLOB, ACC_Road CLOB, All_Games CLOB, All_Games_Percent NUMBER, All_Home CLOB, All_Road CLOB, All_Neutral CLOB)
| Visualize a bar chart about the distribution of All_Neutral and Team_ID , and I want to list by the x axis from high to low please. | SELECT All_Neutral, Team_ID FROM basketball_match ORDER BY All_Neutral DESC | SELECT "All_Neutral", "Team_ID" FROM "basketball_match" ORDER BY "All_Neutral" DESC | 0.081055 |
CREATE TABLE table_21924 ("Year" FLOAT, "Date" CLOB, "Driver" CLOB, "Team" CLOB, "Manufacturer" CLOB, "Laps" CLOB, "Miles ( km ) " CLOB, "Race Time" CLOB, "Average Speed ( mph ) " CLOB)
| What team(s) were in 2003? | SELECT "Team" FROM table_21924 WHERE "Year" = '2003' | SELECT "Team" FROM "table_21924" WHERE "Year" = '2003' | 0.052734 |
CREATE TABLE table_28503 ("Week #" CLOB, "Theme" CLOB, "Song choice" CLOB, "Original artist" CLOB, "Order #" CLOB, "Result" CLOB)
| How many results are there with the theme Group Round? | SELECT COUNT("Result") FROM table_28503 WHERE "Theme" = 'Group Round' | SELECT COUNT("Result") FROM "table_28503" WHERE "Theme" = 'Group Round' | 0.069336 |
CREATE TABLE table_name_53 (series VARCHAR2, date VARCHAR2)
| what series was on may 14 | SELECT series FROM table_name_53 WHERE date = "may 14" | SELECT "series" FROM "table_name_53" WHERE "date" = "may 14" | 0.058594 |
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)
| count the number of patients whose admission location is phys referral/normal deli and discharge location is snf? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.admission_location = "PHYS REFERRAL/NORMAL DELI" AND demographic.discharge_location = "SNF" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "PHYS REFERRAL/NORMAL DELI" = "demographic"."admission_location" AND "SNF" = "demographic"."discharge_location" | 0.181641 |
CREATE TABLE table_45118 ("Name" CLOB, "Latitude" CLOB, "Longitude" CLOB, "Diameter ( km ) " FLOAT, "Year named" CLOB)
| What is the longitude of Angerona Tholus? | SELECT "Longitude" FROM table_45118 WHERE "Name" = 'angerona tholus' | SELECT "Longitude" FROM "table_45118" WHERE "Name" = 'angerona tholus' | 0.068359 |
CREATE TABLE table_name_25 (Regular VARCHAR2, team VARCHAR2, tournament VARCHAR2, total VARCHAR2)
| How many regular season titles did Kansas receive when they received fewer than 2 tournament titles and more than 0 total titles? | SELECT Regular AS season FROM table_name_25 WHERE tournament < 2 AND total > 0 AND team = "kansas" | SELECT "Regular" AS "season" FROM "table_name_25" WHERE "kansas" = "team" AND "total" > 0 AND "tournament" < 2 | 0.107422 |
CREATE TABLE table_4274 ("Year" FLOAT, "Starts" FLOAT, "Wins" FLOAT, "Top 5" FLOAT, "Top 10" FLOAT, "Poles" FLOAT, "Avg. Start" CLOB, "Avg. Finish" CLOB, "Winnings" CLOB, "Position" CLOB, "Team ( s ) " CLOB)
| What is the maximum number of starts? | SELECT MAX("Starts") FROM table_4274 | SELECT MAX("Starts") FROM "table_4274" | 0.037109 |
CREATE TABLE record (ID NUMBER, Result CLOB, Swimmer_ID NUMBER, Event_ID NUMBER)
CREATE TABLE stadium (ID NUMBER, name CLOB, Capacity NUMBER, City CLOB, Country CLOB, Opening_year NUMBER)
CREATE TABLE event (ID NUMBER, Name CLOB, Stadium_ID NUMBER, Year CLOB)
CREATE TABLE swimmer (ID NUMBER, name CLOB, Nationality CLOB, meter_100 FLOAT, meter_200 CLOB, meter_300 CLOB, meter_400 CLOB, meter_500 CLOB, meter_600 CLOB, meter_700 CLOB, Time CLOB)
| Show me a bar chart for how many stadiums does each country have?, list in descending by the the total number . | SELECT Country, COUNT(*) FROM stadium GROUP BY Country ORDER BY COUNT(*) DESC | SELECT "Country", COUNT(*) FROM "stadium" GROUP BY "Country" ORDER BY COUNT(*) DESC | 0.081055 |
CREATE TABLE employees (employee_id NUMBER, first_name CLOB, last_name CLOB, email CLOB, phone_number CLOB, hire_date TIME, job_id CLOB, salary NUMBER, commission_pct NUMBER, manager_id NUMBER, department_id NUMBER)
CREATE TABLE jobs (job_id CLOB, job_title CLOB, min_salary NUMBER, max_salary NUMBER)
CREATE TABLE job_history (employee_id NUMBER, start_date TIME, end_date TIME, job_id CLOB, department_id NUMBER)
CREATE TABLE locations (location_id NUMBER, street_address CLOB, postal_code CLOB, city CLOB, state_province CLOB, country_id CLOB)
CREATE TABLE departments (department_id NUMBER, department_name CLOB, manager_id NUMBER, location_id NUMBER)
CREATE TABLE regions (region_id NUMBER, region_name CLOB)
CREATE TABLE countries (country_id CLOB, country_name CLOB, region_id NUMBER)
| What is all the job history info done by employees earning a salary greater than or equal to 12000? | SELECT * FROM job_history AS T1 JOIN employees AS T2 ON T1.employee_id = T2.employee_id WHERE T2.salary >= 12000 | SELECT * FROM "job_history" "T1" JOIN "employees" "T2" ON "T1"."employee_id" = "T2"."employee_id" AND "T2"."salary" >= 12000 | 0.121094 |
CREATE TABLE table_70937 ("Team" CLOB, "Manager 1" CLOB, "Captain" CLOB, "Kit manufacturer" CLOB, "Shirt sponsor" CLOB)
| Who was the team captain for Crystal Palace? | SELECT "Captain" FROM table_70937 WHERE "Team" = 'crystal palace' | SELECT "Captain" FROM "table_70937" WHERE "Team" = 'crystal palace' | 0.06543 |
CREATE TABLE table_203_131 (id NUMBER, "pos." NUMBER, "car #" NUMBER, "driver" CLOB, "make" CLOB, "team" CLOB)
| how many chevrolets were in the top 10 ? | SELECT COUNT(*) FROM table_203_131 WHERE "make" = 'chevrolet' | SELECT COUNT(*) FROM "table_203_131" WHERE "make" = 'chevrolet' | 0.061523 |
CREATE TABLE table_24251 ("Location Chernobyl 1 Chernobyl 2 Chernobyl 3 Chernobyl 4 Chernobyl 5 Ignalina 1 Ignalina 2 Ignalina 3 Kursk 1 Kursk 2 Kursk 3 Kursk 4 Kursk 5 Kursk 6 Leningrad 1 Leningrad 2 Leningrad 3 Leningrad 4 Smolensk 1 Smolensk 2 Smolensk 3 Smolensk 4 Directorate for Construction of Kostoma NPP ( For Kostroma 1 and 2 ) Table 31. Technology and Soviet Energy Availability - November 1981 - NTIS order #PB82-133455 ( For Ignalina 4 ) " CLOB, "Reactor type" CLOB, "Status" CLOB, "Net Capacity ( MW ) " FLOAT, "Gross Capacity ( MW ) " FLOAT)
| List all the locations where net capacity is 950? | SELECT "Location Chernobyl 1 Chernobyl 2 Chernobyl 3 Chernobyl 4 Chernobyl 5 Ignalina 1 Ignalina 2 Ignalina 3 Kursk 1 Kursk 2 Kursk 3 Kursk 4 Kursk 5 Kursk 6 Leningrad 1 Leningrad 2 Leningrad 3 Leningrad 4 Smolensk 1 Smolensk 2 Smolensk 3 Smolensk 4 Directorate for Construction of Kostoma NPP (For Kostroma 1 and 2) Table 31. Technology and Soviet Energy Availability - November 1981 - NTIS order #PB82-133455 (For Ignalina 4)" FROM table_24251 WHERE "Net Capacity (MW)" = '950' | SELECT "Location Chernobyl 1 Chernobyl 2 Chernobyl 3 Chernobyl 4 Chernobyl 5 Ignalina 1 Ignalina 2 Ignalina 3 Kursk 1 Kursk 2 Kursk 3 Kursk 4 Kursk 5 Kursk 6 Leningrad 1 Leningrad 2 Leningrad 3 Leningrad 4 Smolensk 1 Smolensk 2 Smolensk 3 Smolensk 4 Directorate for Construction of Kostoma NPP (For Kostroma 1 and 2) Table 31. Technology and Soviet Energy Availability - November 1981 - NTIS order #PB82-133455 (For Ignalina 4)" FROM "table_24251" WHERE "Net Capacity (MW)" = '950' | 0.469727 |
CREATE TABLE table_name_18 (first_member VARCHAR2, second_member VARCHAR2)
| What is 1st Party, when First Member is 'Peter John Locke King', and when Second Member is 'James Watney'? | SELECT 1 AS st_party FROM table_name_18 WHERE first_member = "peter john locke king" AND second_member = "james watney" | SELECT 1 AS "st_party" FROM "table_name_18" WHERE "first_member" = "peter john locke king" AND "james watney" = "second_member" | 0.124023 |
CREATE TABLE college (cname CLOB, state CLOB, enr NUMBER)
CREATE TABLE player (pid NUMBER, pname CLOB, ycard CLOB, hs NUMBER)
CREATE TABLE tryout (pid NUMBER, cname CLOB, ppos CLOB, decision CLOB)
| Find the name of all students who were in the tryout sorted in alphabetic order. | SELECT T1.pname FROM player AS T1 JOIN tryout AS T2 ON T1.pid = T2.pid ORDER BY T1.pname | SELECT "T1"."pname" FROM "player" "T1" JOIN "tryout" "T2" ON "T1"."pid" = "T2"."pid" ORDER BY "T1"."pname" | 0.103516 |
CREATE TABLE table_name_27 (laps NUMBER, grid VARCHAR2, time VARCHAR2)
| Who had the lowest laps on a grid smaller than 16 with a time of +21.689? | SELECT MIN(laps) FROM table_name_27 WHERE grid < 16 AND time = "+21.689" | SELECT MIN("laps") FROM "table_name_27" WHERE "+21.689" = "time" AND "grid" < 16 | 0.078125 |
CREATE TABLE table_18974269_1 (gender VARCHAR2, original_season VARCHAR2)
| What was the gender of the contestant on RR: South Pacific season? | SELECT gender FROM table_18974269_1 WHERE original_season = "RR: South Pacific" | SELECT "gender" FROM "table_18974269_1" WHERE "RR: South Pacific" = "original_season" | 0.083008 |
CREATE TABLE diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE admissions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, admittime TIME, dischtime TIME, admission_type CLOB, admission_location CLOB, discharge_location CLOB, insurance CLOB, language CLOB, marital_status CLOB, ethnicity CLOB, age NUMBER)
CREATE TABLE d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE transfers (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, eventtype CLOB, careunit CLOB, wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
CREATE TABLE d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
CREATE TABLE inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
CREATE TABLE cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE 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 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 icustays (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, first_careunit CLOB, last_careunit CLOB, first_wardid NUMBER, last_wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
CREATE TABLE outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
CREATE TABLE labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
| what are the four most frequently prescribed drugs for patients also prescribed with amlodipine besylate at the same time, in 2105? | 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 = 'amlodipine besylate' AND STRFTIME('%y', prescriptions.startdate) = '2105') AS t1 JOIN (SELECT admissions.subject_id, prescriptions.drug, prescriptions.startdate FROM prescriptions JOIN admissions ON prescriptions.hadm_id = admissions.hadm_id WHERE STRFTIME('%y', prescriptions.startdate) = '2105') 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 <= 4 | WITH "t2" AS (SELECT "admissions"."subject_id", "prescriptions"."drug", "prescriptions"."startdate" FROM "prescriptions" JOIN "admissions" ON "admissions"."hadm_id" = "prescriptions"."hadm_id" WHERE STRFTIME('%y', "prescriptions"."startdate") = '2105'), "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" = 'amlodipine besylate' AND STRFTIME('%y', "prescriptions"."startdate") = '2105' GROUP BY "t2"."drug") SELECT "t3"."drug" FROM "t3" "t3" WHERE "t3"."c1" <= 4 | 0.730469 |
CREATE TABLE table_29413 ("Athlete" CLOB, "Event" CLOB, "Round of 32" CLOB, "Round of 16" CLOB, "Quarterfinals" CLOB, "Semifinals" CLOB)
| When yakup ener is the athlete what is the round of 32? | SELECT "Round of 32" FROM table_29413 WHERE "Athlete" = 'Yakup Εener' | SELECT "Round of 32" FROM "table_29413" WHERE "Athlete" = 'Yakup Εener' | 0.069336 |
CREATE TABLE table_19001175_1 (poles VARCHAR2, name VARCHAR2)
| Name the number of poles for stefano livio category:articles with hcards | SELECT COUNT(poles) FROM table_19001175_1 WHERE name = "Stefano Livio Category:Articles with hCards" | SELECT COUNT("poles") FROM "table_19001175_1" WHERE "Stefano Livio Category:Articles with hCards" = "name" | 0.103516 |
CREATE TABLE table_75109 ("Flat" CLOB, "Threaded" CLOB, "User-selectable themes" CLOB, "Calendar" CLOB, "Image attachment" CLOB, "Unread message tracking" CLOB, "WYSIWYG Editor" CLOB)
| Which WYSIWYG Editor has a User-selectable themes of yes, and an Unread message tracking of session, and an Image attachment of plugin? | SELECT "WYSIWYG Editor" FROM table_75109 WHERE "User-selectable themes" = 'yes' AND "Unread message tracking" = 'session' AND "Image attachment" = 'plugin' | SELECT "WYSIWYG Editor" FROM "table_75109" WHERE "Image attachment" = 'plugin' AND "Unread message tracking" = 'session' AND "User-selectable themes" = 'yes' | 0.15332 |
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE 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)
| get the number of patients on main type drug prescription who have procedure icd9 code 8960. | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE procedures.icd9_code = "8960" AND prescriptions.drug_type = "MAIN" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "prescriptions" ON "MAIN" = "prescriptions"."drug_type" AND "demographic"."hadm_id" = "prescriptions"."hadm_id" JOIN "procedures" ON "8960" = "procedures"."icd9_code" AND "demographic"."hadm_id" = "procedures"."hadm_id" | 0.286133 |
CREATE TABLE table_3422 ("Player" CLOB, "G" FLOAT, "Solo TK" FLOAT, "Asst. TK" FLOAT, "Total TK" FLOAT, "Sack" CLOB, "YdL" FLOAT, "INT" FLOAT, "Yards" FLOAT, "ForFum" FLOAT, "FumRec" FLOAT, "TD" FLOAT)
| What is the fumrec minimum? | SELECT MIN("FumRec") FROM table_3422 | SELECT MIN("FumRec") FROM "table_3422" | 0.037109 |
CREATE TABLE table_name_69 (pdt___7_utc_ VARCHAR2, cdt___5_utc_ VARCHAR2)
| What is the time for PDT when CDT is 6:38 a.m.? | SELECT pdt___7_utc_ FROM table_name_69 WHERE cdt___5_utc_ = "6:38 a.m." | SELECT "pdt___7_utc_" FROM "table_name_69" WHERE "6:38 a.m." = "cdt___5_utc_" | 0.075195 |
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 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)
| mention the age and procedure long title of patient with patient id 2560. | SELECT demographic.age, procedures.long_title FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.subject_id = "2560" | SELECT "demographic"."age", "procedures"."long_title" FROM "demographic" JOIN "procedures" ON "demographic"."hadm_id" = "procedures"."hadm_id" WHERE "2560" = "demographic"."subject_id" | 0.179688 |
CREATE TABLE PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId NUMBER)
CREATE TABLE TagSynonyms (Id NUMBER, SourceTagName CLOB, TargetTagName CLOB, CreationDate TIME, OwnerUserId NUMBER, AutoRenameCount NUMBER, LastAutoRename TIME, Score NUMBER, ApprovedByUserId NUMBER, ApprovalDate TIME)
CREATE TABLE ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId NUMBER)
CREATE TABLE ReviewTaskStates (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
CREATE TABLE SuggestedEditVotes (Id NUMBER, SuggestedEditId NUMBER, UserId NUMBER, VoteTypeId NUMBER, CreationDate TIME, TargetUserId NUMBER, TargetRepChange NUMBER)
CREATE TABLE ReviewTaskResultTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PendingFlags (Id NUMBER, FlagTypeId NUMBER, PostId NUMBER, CreationDate TIME, CloseReasonTypeId NUMBER, CloseAsOffTopicReasonTypeId NUMBER, DuplicateOfQuestionId NUMBER, BelongsOnBaseHostAddress CLOB)
CREATE TABLE PostsWithDeleted (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE Posts (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment CLOB)
CREATE TABLE PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId 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 Comments (Id NUMBER, PostId NUMBER, Score NUMBER, Text CLOB, CreationDate TIME, UserDisplayName CLOB, UserId NUMBER, ContentLicense CLOB)
CREATE TABLE PostTypes (Id NUMBER, Name CLOB)
CREATE TABLE ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
CREATE TABLE ReviewTaskTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostHistoryTypes (Id NUMBER, Name CLOB)
CREATE TABLE Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
CREATE TABLE VoteTypes (Id NUMBER, Name CLOB)
CREATE TABLE SuggestedEdits (Id NUMBER, PostId NUMBER, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId NUMBER, Comment CLOB, Text CLOB, Title CLOB, Tags CLOB, RevisionGUID other)
CREATE TABLE Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount NUMBER)
CREATE TABLE FlagTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
CREATE TABLE PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
CREATE TABLE PostTags (PostId NUMBER, TagId NUMBER)
CREATE TABLE CloseAsOffTopicReasonTypes (Id NUMBER, IsUniversal BOOLEAN, InputTitle CLOB, MarkdownInputGuidance CLOB, MarkdownPostOwnerGuidance CLOB, MarkdownPrivilegedUserGuidance CLOB, MarkdownConcensusDescription CLOB, CreationDate TIME, CreationModeratorId NUMBER, ApprovalDate TIME, ApprovalModeratorId NUMBER, DeactivationDate TIME, DeactivationModeratorId NUMBER)
CREATE TABLE CloseReasonTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Users (Id NUMBER, Reputation NUMBER, CreationDate TIME, DisplayName CLOB, LastAccessDate TIME, WebsiteUrl CLOB, Location CLOB, AboutMe CLOB, Views NUMBER, UpVotes NUMBER, DownVotes NUMBER, ProfileImageUrl CLOB, EmailHash CLOB, AccountId NUMBER)
| Top 50 Biggest Favorite Lists. Shows the top 50 post favoriters, so that you can browse all those favorites. | SELECT Id AS "user_link", (SELECT COUNT(*) FROM Votes WHERE VoteTypeId = 5 AND UserId = Users.Id) AS Favorites FROM Users ORDER BY Favorites DESC LIMIT 50 | WITH "_u_0" AS (SELECT COUNT(*), 5 AS "_u_1", "Users"."Id" AS "_u_2", "UserId" AS "_u_3" FROM "Votes" GROUP BY 5, "Users"."Id", "UserId") SELECT "Id" AS "user_link", COALESCE("_u_0"."", *) AS "Favorites" FROM "Users" LEFT JOIN "_u_0" "_u_0" ON "VoteTypeId" = "_u_0"."_u_1" AND "_u_0"."_u_2" = "_u_0"."_u_3" ORDER BY "Favorites" DESC FETCH FIRST 50 ROWS ONLY | 0.348633 |
CREATE TABLE table_204_238 (id NUMBER, "#" NUMBER, "title" CLOB, "producer ( s ) " CLOB, "performer ( s ) " CLOB, "time" CLOB)
| how many tracks have at least two performers ? | SELECT COUNT("title") FROM table_204_238 WHERE "performer (s)" >= 2 | SELECT COUNT("title") FROM "table_204_238" WHERE "performer (s)" >= 2 | 0.067383 |
CREATE TABLE table_1661124_1 (brand_name VARCHAR2, antibody VARCHAR2)
| What is the brand name for the antibody Brentuximab Vedotin? | SELECT brand_name FROM table_1661124_1 WHERE antibody = "Brentuximab vedotin" | SELECT "brand_name" FROM "table_1661124_1" WHERE "Brentuximab vedotin" = "antibody" | 0.081055 |
CREATE TABLE table_72560 ("Rank" CLOB, "Common of" CLOB, "Population" FLOAT, "Area ( km 2 ) " CLOB, "Density ( inhabitants/km 2 ) " CLOB, "Altitude ( mslm ) " FLOAT)
| What rank is the common with an area of 47.3 km^2? | SELECT "Rank" FROM table_72560 WHERE "Area (km 2 )" = '47.3' | SELECT "Rank" FROM "table_72560" WHERE "Area (km 2 )" = '47.3' | 0.060547 |
CREATE TABLE table_19638 ("Position" FLOAT, "Race number" CLOB, "Sail number" CLOB, "Yacht" CLOB, "State/country" CLOB, "Yacht type" CLOB, "LOA ( Metres ) " CLOB, "Skipper" CLOB, "Elapsed time d:hh:mm:ss" CLOB)
| How many different skippers of the yacht City Index Leopard? | SELECT COUNT("Skipper") FROM table_19638 WHERE "Yacht" = 'City Index Leopard' | SELECT COUNT("Skipper") FROM "table_19638" WHERE "Yacht" = 'City Index Leopard' | 0.077148 |
CREATE TABLE table_name_50 (title VARCHAR2, production_code VARCHAR2)
| What is the title of the episode with a production code of ad1b04? | SELECT title FROM table_name_50 WHERE production_code = "ad1b04" | SELECT "title" FROM "table_name_50" WHERE "ad1b04" = "production_code" | 0.068359 |
CREATE TABLE semester (semester_id NUMBER, semester VARCHAR2, year NUMBER)
CREATE TABLE course_offering (offering_id NUMBER, course_id NUMBER, semester NUMBER, section_number NUMBER, start_time TIME, end_time TIME, monday VARCHAR2, tuesday VARCHAR2, wednesday VARCHAR2, thursday VARCHAR2, friday VARCHAR2, saturday VARCHAR2, sunday VARCHAR2, has_final_project VARCHAR2, has_final_exam VARCHAR2, textbook VARCHAR2, class_address VARCHAR2, allow_audit VARCHAR2)
CREATE TABLE student (student_id NUMBER, lastname VARCHAR2, firstname VARCHAR2, program_id NUMBER, declare_major VARCHAR2, total_credit NUMBER, total_gpa FLOAT, entered_as VARCHAR2, admit_term NUMBER, predicted_graduation_semester NUMBER, degree VARCHAR2, minor VARCHAR2, internship VARCHAR2)
CREATE TABLE program (program_id NUMBER, name VARCHAR2, college VARCHAR2, introduction VARCHAR2)
CREATE TABLE instructor (instructor_id NUMBER, name VARCHAR2, uniqname 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 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 area (course_id NUMBER, area VARCHAR2)
CREATE TABLE comment_instructor (instructor_id NUMBER, student_id NUMBER, score NUMBER, comment_text VARCHAR2)
CREATE TABLE gsi (course_offering_id NUMBER, student_id NUMBER)
CREATE TABLE course (course_id NUMBER, name VARCHAR2, department VARCHAR2, number VARCHAR2, credits VARCHAR2, advisory_requirement VARCHAR2, enforced_requirement VARCHAR2, description VARCHAR2, num_semesters NUMBER, num_enrolled NUMBER, has_discussion VARCHAR2, has_lab VARCHAR2, has_projects VARCHAR2, has_exams VARCHAR2, num_reviews NUMBER, clarity_score NUMBER, easiness_score NUMBER, helpfulness_score NUMBER)
CREATE TABLE requirement (requirement_id NUMBER, requirement VARCHAR2, college VARCHAR2)
CREATE TABLE program_requirement (program_id NUMBER, category VARCHAR2, min_credit NUMBER, additional_req VARCHAR2)
CREATE TABLE offering_instructor (offering_instructor_id NUMBER, offering_id NUMBER, instructor_id NUMBER)
CREATE TABLE program_course (program_id NUMBER, course_id NUMBER, workload NUMBER, category VARCHAR2)
CREATE TABLE ta (campus_job_id NUMBER, student_id NUMBER, location VARCHAR2)
CREATE TABLE student_record (student_id NUMBER, course_id NUMBER, semester NUMBER, grade VARCHAR2, how VARCHAR2, transfer_source VARCHAR2, earn_credit VARCHAR2, repeat_term VARCHAR2, test_id VARCHAR2)
| When it comes to next semester , what upper-level electives are offered that do n't meet on Monday or Friday ? | SELECT DISTINCT course.department, course.name, course.number FROM course, course_offering, program_course, semester WHERE course_offering.friday = 'N' AND course_offering.monday = 'N' AND course.course_id = course_offering.course_id AND program_course.category LIKE '%ULCS%' AND program_course.course_id = course.course_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" AND "course_offering"."friday" = 'N' AND "course_offering"."monday" = 'N' JOIN "program_course" ON "course"."course_id" = "program_course"."course_id" AND "program_course"."category" LIKE '%ULCS%' JOIN "semester" ON "course_offering"."semester" = "semester"."semester_id" AND "semester"."semester" = 'FA' AND "semester"."year" = 2016 | 0.488281 |
CREATE TABLE table_2477 ("Period" CLOB, "Civilians" FLOAT, "Security forces" FLOAT, "Insurgents" FLOAT, "Total per period" FLOAT)
| How many insurgents have 602 as the total per period? | SELECT MAX("Insurgents") FROM table_2477 WHERE "Total per period" = '602' | SELECT MAX("Insurgents") FROM "table_2477" WHERE "Total per period" = '602' | 0.073242 |
CREATE TABLE table_name_4 (rank NUMBER, name VARCHAR2, matches VARCHAR2)
| What was Jimmy Jones' rank when the matches were smaller than 285? | SELECT MAX(rank) FROM table_name_4 WHERE name = "jimmy jones" AND matches < 285 | SELECT MAX("rank") FROM "table_name_4" WHERE "jimmy jones" = "name" AND "matches" < 285 | 0.084961 |
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
| what is procedure short title of subject name francis baseler? | SELECT procedures.short_title FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.name = "Francis Baseler" | SELECT "procedures"."short_title" FROM "demographic" JOIN "procedures" ON "demographic"."hadm_id" = "procedures"."hadm_id" WHERE "Francis Baseler" = "demographic"."name" | 0.165039 |
CREATE TABLE table_2201724_1 (year VARCHAR2, score_in_the_final VARCHAR2)
| List the total number of years that have a score of 3 6, 4 6, 2 6. | SELECT COUNT(year) FROM table_2201724_1 WHERE score_in_the_final = "3β6, 4β6, 2β6" | SELECT COUNT("year") FROM "table_2201724_1" WHERE "3β6, 4β6, 2β6" = "score_in_the_final" | 0.085938 |
CREATE TABLE table_63856 ("Township" CLOB, "County" CLOB, "Pop. ( 2010 ) " FLOAT, "Land ( sqmi ) " FLOAT, "Water ( sqmi ) " FLOAT, "Latitude" FLOAT, "Longitude" FLOAT, "GEO ID" FLOAT, "ANSI code" FLOAT)
| What is the total population in 2010 for the township located in Mountrail which has land less than 34.424 sq miles and a GEO ID less than 3806159940? | SELECT SUM("Pop. (2010)") FROM table_63856 WHERE "Land ( sqmi )" < '34.424' AND "County" = 'mountrail' AND "GEO ID" < '3806159940' | SELECT SUM("Pop. (2010)") FROM "table_63856" WHERE "County" = 'mountrail' AND "GEO ID" < '3806159940' AND "Land ( sqmi )" < '34.424' | 0.128906 |
CREATE TABLE table_60526 ("County" CLOB, "Per capita income" CLOB, "Median household income" CLOB, "Median family income" CLOB, "Population" FLOAT, "Number of households" FLOAT)
| How many households have yadkin as the county? | SELECT "Number of households" FROM table_60526 WHERE "County" = 'yadkin' | SELECT "Number of households" FROM "table_60526" WHERE "County" = 'yadkin' | 0.072266 |
CREATE TABLE table_70950 ("D 47 +" CLOB, "D 46 +" CLOB, "D 45 +" CLOB, "D 44 +" CLOB, "D 43 O" CLOB, "D 42 O" CLOB, "D 41 \\u221a" CLOB, "D 40 \\u221a" CLOB)
| Name the D 44 when it has a D 40 of r 16 | SELECT "D 44 +" FROM table_70950 WHERE "D 40 \u221a" = 'r 16' | SELECT "D 44 +" FROM "table_70950" WHERE "D 40 \u221a" = 'r 16' | 0.061523 |
CREATE TABLE table_41099 ("Administrative Panel" FLOAT, "Agricultural Panel" FLOAT, "Cultural and Educational Panel" FLOAT, "Industrial and Commercial Panel" FLOAT, "Labour Panel" FLOAT, "National University of Ireland" FLOAT, "University of Dublin" FLOAT, "Nominated by the Taoiseach" FLOAT, "Total" FLOAT)
| What is the total of the cultural and educational panel when the industrial and commercial panel is 0 and the agricultural panel is greater than 0? | SELECT SUM("Cultural and Educational Panel") FROM table_41099 WHERE "Industrial and Commercial Panel" = '0' AND "Agricultural Panel" > '0' | SELECT SUM("Cultural and Educational Panel") FROM "table_41099" WHERE "Agricultural Panel" > '0' AND "Industrial and Commercial Panel" = '0' | 0.136719 |
CREATE TABLE table_77510 ("D 49" CLOB, "D 48" CLOB, "D 47" CLOB, "D 46" CLOB, "D 45" CLOB, "D 44" CLOB, "D 43" CLOB, "D 42" CLOB, "D 41" CLOB, "D 40" CLOB)
| I want the D 47 for D 41 being r 21 | SELECT "D 47" FROM table_77510 WHERE "D 41" = 'r 21' | SELECT "D 47" FROM "table_77510" WHERE "D 41" = 'r 21' | 0.052734 |
CREATE TABLE table_17993 ("Year" FLOAT, "Competition" CLOB, "Location" CLOB, "Event" CLOB, "Final-Rank" CLOB, "Final-Score" CLOB, "Qualifying Rank" FLOAT, "Qualifying Score" CLOB)
| what is the final-rank for the uneven bars and the competition is u.s. championships? | SELECT "Final-Rank" FROM table_17993 WHERE "Event" = 'Uneven Bars' AND "Competition" = 'U.S. Championships' | SELECT "Final-Rank" FROM "table_17993" WHERE "Competition" = 'U.S. Championships' AND "Event" = 'Uneven Bars' | 0.106445 |
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 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 compartment_class (compartment VARCHAR2, class_type VARCHAR2)
CREATE TABLE date_day (month_number NUMBER, day_number NUMBER, year NUMBER, day_name VARCHAR2)
CREATE TABLE flight_leg (flight_id NUMBER, leg_number NUMBER, leg_flight NUMBER)
CREATE TABLE airport_service (city_code VARCHAR2, airport_code VARCHAR2, miles_distant NUMBER, direction VARCHAR2, minutes_distant NUMBER)
CREATE TABLE time_zone (time_zone_code CLOB, time_zone_name CLOB, hours_from_gmt NUMBER)
CREATE TABLE city (city_code VARCHAR2, city_name VARCHAR2, state_code VARCHAR2, country_name VARCHAR2, time_zone_code VARCHAR2)
CREATE TABLE month (month_number NUMBER, month_name CLOB)
CREATE TABLE equipment_sequence (aircraft_code_sequence VARCHAR2, aircraft_code VARCHAR2)
CREATE TABLE days (days_code VARCHAR2, day_name VARCHAR2)
CREATE TABLE ground_service (city_code CLOB, airport_code CLOB, transport_type CLOB, ground_fare NUMBER)
CREATE TABLE dual_carrier (main_airline VARCHAR2, low_flight_number NUMBER, high_flight_number NUMBER, dual_airline VARCHAR2, service_name CLOB)
CREATE TABLE class_of_service (booking_class VARCHAR2, rank NUMBER, class_description CLOB)
CREATE TABLE time_interval (period CLOB, begin_time NUMBER, end_time NUMBER)
CREATE TABLE code_description (code VARCHAR2, 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 food_service (meal_code CLOB, meal_number NUMBER, compartment CLOB, meal_description VARCHAR2)
CREATE TABLE flight_fare (flight_id NUMBER, fare_id 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 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 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 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 state (state_code CLOB, state_name CLOB, country_name CLOB)
| give me flights from PITTSBURGH to BALTIMORE | 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 = 'PITTSBURGH' AND CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'BALTIMORE' AND flight.from_airport = AIRPORT_SERVICE_0.airport_code AND flight.to_airport = AIRPORT_SERVICE_1.airport_code | SELECT DISTINCT "flight"."flight_id" FROM "airport_service" "AIRPORT_SERVICE_0" JOIN "city" "CITY_0" ON "AIRPORT_SERVICE_0"."city_code" = "CITY_0"."city_code" AND "CITY_0"."city_name" = 'PITTSBURGH' JOIN "flight" ON "AIRPORT_SERVICE_0"."airport_code" = "flight"."from_airport" JOIN "airport_service" "AIRPORT_SERVICE_1" ON "AIRPORT_SERVICE_1"."airport_code" = "flight"."to_airport" JOIN "city" "CITY_1" ON "AIRPORT_SERVICE_1"."city_code" = "CITY_1"."city_code" AND "CITY_1"."city_name" = 'BALTIMORE' | 0.487305 |
CREATE TABLE paper (paperid NUMBER, title VARCHAR2, venueid NUMBER, year NUMBER, numciting NUMBER, numcitedby NUMBER, journalid NUMBER)
CREATE TABLE paperkeyphrase (paperid NUMBER, keyphraseid NUMBER)
CREATE TABLE paperdataset (paperid NUMBER, datasetid NUMBER)
CREATE TABLE field (fieldid NUMBER)
CREATE TABLE writes (paperid NUMBER, authorid NUMBER)
CREATE TABLE venue (venueid NUMBER, venuename VARCHAR2)
CREATE TABLE cite (citingpaperid NUMBER, citedpaperid NUMBER)
CREATE TABLE author (authorid NUMBER, authorname VARCHAR2)
CREATE TABLE keyphrase (keyphraseid NUMBER, keyphrasename VARCHAR2)
CREATE TABLE dataset (datasetid NUMBER, datasetname VARCHAR2)
CREATE TABLE paperfield (fieldid NUMBER, paperid NUMBER)
CREATE TABLE journal (journalid NUMBER, journalname VARCHAR2)
| What papers has srinivasan iyer written ? | SELECT DISTINCT writes.paperid FROM author, writes WHERE author.authorname = 'srinivasan iyer' AND writes.authorid = author.authorid | SELECT DISTINCT "writes"."paperid" FROM "author" JOIN "writes" ON "author"."authorid" = "writes"."authorid" WHERE "author"."authorname" = 'srinivasan iyer' | 0.151367 |
CREATE TABLE table_name_81 (l_100km_combined NUMBER, mpg_uk_extra_urban VARCHAR2, l_100km_urban__cold_ VARCHAR2, mpg_uk_combined VARCHAR2)
| What's the average L/km combines when the L/100km Urban is 13.9, the mpg-UK combined is more than 28.5 and the mpg-UK extra urban is less than 38.7? | SELECT AVG(l_100km_combined) FROM table_name_81 WHERE l_100km_urban__cold_ = 13.9 AND mpg_uk_combined > 28.5 AND mpg_uk_extra_urban < 38.7 | SELECT AVG("l_100km_combined") FROM "table_name_81" WHERE "l_100km_urban__cold_" = 13.9 AND "mpg_uk_combined" > 28.5 AND "mpg_uk_extra_urban" < 38.7 | 0.144531 |
CREATE TABLE table_42815 ("Place" CLOB, "Player" CLOB, "Country" CLOB, "Score" CLOB, "To par" CLOB, "Money ( $ ) " CLOB)
| What is the Place of the Player with a Score of 73-73-65-73=284? | SELECT "Place" FROM table_42815 WHERE "Score" = '73-73-65-73=284' | SELECT "Place" FROM "table_42815" WHERE "Score" = '73-73-65-73=284' | 0.06543 |
CREATE TABLE admissions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, admittime TIME, dischtime TIME, admission_type CLOB, admission_location CLOB, discharge_location CLOB, insurance CLOB, language CLOB, marital_status CLOB, ethnicity CLOB, age NUMBER)
CREATE TABLE cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
CREATE TABLE transfers (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, eventtype CLOB, careunit CLOB, wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE prescriptions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, startdate TIME, enddate TIME, drug CLOB, dose_val_rx CLOB, dose_unit_rx CLOB, route CLOB)
CREATE TABLE 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 microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
CREATE TABLE labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
CREATE TABLE diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE d_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)
CREATE TABLE patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
| what has been the first time a medication was prescribed for patient 63676 since 04/2104? | SELECT prescriptions.startdate FROM prescriptions WHERE prescriptions.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 63676) AND STRFTIME('%y-%m', prescriptions.startdate) >= '2104-04' ORDER BY prescriptions.startdate LIMIT 1 | WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 63676 GROUP BY "hadm_id") SELECT "prescriptions"."startdate" FROM "prescriptions" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "prescriptions"."hadm_id" WHERE NOT "_u_0"."" IS NULL AND STRFTIME('%y-%m', "prescriptions"."startdate") >= '2104-04' ORDER BY "prescriptions"."startdate" FETCH FIRST 1 ROWS ONLY | 0.387695 |
CREATE TABLE jobs (JOB_ID VARCHAR2, JOB_TITLE VARCHAR2, MIN_SALARY NUMBER, MAX_SALARY NUMBER)
CREATE TABLE countries (COUNTRY_ID VARCHAR2, COUNTRY_NAME VARCHAR2, REGION_ID NUMBER)
CREATE TABLE 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 departments (DEPARTMENT_ID NUMBER, DEPARTMENT_NAME VARCHAR2, MANAGER_ID NUMBER, LOCATION_ID NUMBER)
CREATE TABLE locations (LOCATION_ID NUMBER, STREET_ADDRESS VARCHAR2, POSTAL_CODE VARCHAR2, CITY VARCHAR2, STATE_PROVINCE VARCHAR2, COUNTRY_ID VARCHAR2)
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, what is the relationship between manager_id and department_id ? | SELECT MANAGER_ID, DEPARTMENT_ID FROM employees WHERE SALARY BETWEEN 8000 AND 12000 AND COMMISSION_PCT <> "null" OR DEPARTMENT_ID <> 40 | SELECT "MANAGER_ID", "DEPARTMENT_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) | 0.205078 |
CREATE TABLE table_72743 ("Former kingdom" CLOB, "Province" CLOB, "Hangul" CLOB, "Hanja" CLOB, "Capital" CLOB, "Modern equivalent" CLOB)
| What is the modern equivalent of the former kingdom 'silla' with the hanja ? | SELECT COUNT("Modern equivalent") FROM table_72743 WHERE "Former kingdom" = 'Silla' AND "Hanja" = 'ε°ε·' | SELECT COUNT("Modern equivalent") FROM "table_72743" WHERE "Former kingdom" = 'Silla' AND "Hanja" = 'ε°ε·' | 0.101563 |
Subsets and Splits
No saved queries yet
Save your SQL queries to embed, download, and access them later. Queries will appear here once saved.