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CREATE TABLE comment_instructor (instructor_id INT, student_id INT, score INT, comment_text VARCHAR)
CREATE TABLE course_prerequisite (pre_course_id INT, course_id INT)
CREATE TABLE course_offering (offering_id INT, course_id INT, semester INT, section_number INT, start_time TIME, end_time TIME, monday VARCHAR, tuesday VARCHAR, wednesday VARCHAR, thursday VARCHAR, friday VARCHAR, saturday VARCHAR, sunday VARCHAR, has_final_project VARCHAR, has_final_exam VARCHAR, textbook VARCHAR, class_address VARCHAR, allow_audit VARCHAR)
CREATE TABLE ta (campus_job_id INT, student_id INT, location VARCHAR)
CREATE TABLE area (course_id INT, area VARCHAR)
CREATE TABLE course_tags_count (course_id INT, clear_grading INT, pop_quiz INT, group_projects INT, inspirational INT, long_lectures INT, extra_credit INT, few_tests INT, good_feedback INT, tough_tests INT, heavy_papers INT, cares_for_students INT, heavy_assignments INT, respected INT, participation INT, heavy_reading INT, tough_grader INT, hilarious INT, would_take_again INT, good_lecture INT, no_skip INT)
CREATE TABLE jobs (job_id INT, job_title VARCHAR, description VARCHAR, requirement VARCHAR, city VARCHAR, state VARCHAR, country VARCHAR, zip INT)
CREATE TABLE requirement (requirement_id INT, requirement VARCHAR, college VARCHAR)
CREATE TABLE student (student_id INT, lastname VARCHAR, firstname VARCHAR, program_id INT, declare_major VARCHAR, total_credit INT, total_gpa FLOAT, entered_as VARCHAR, admit_term INT, predicted_graduation_semester INT, degree VARCHAR, minor VARCHAR, internship VARCHAR)
CREATE TABLE program_requirement (program_id INT, category VARCHAR, min_credit INT, additional_req VARCHAR)
CREATE TABLE student_record (student_id INT, course_id INT, semester INT, grade VARCHAR, how VARCHAR, transfer_source VARCHAR, earn_credit VARCHAR, repeat_term VARCHAR, test_id VARCHAR)
CREATE TABLE semester (semester_id INT, semester VARCHAR, year INT)
CREATE TABLE program (program_id INT, name VARCHAR, college VARCHAR, introduction VARCHAR)
CREATE TABLE course (course_id INT, name VARCHAR, department VARCHAR, number VARCHAR, credits VARCHAR, advisory_requirement VARCHAR, enforced_requirement VARCHAR, description VARCHAR, num_semesters INT, num_enrolled INT, has_discussion VARCHAR, has_lab VARCHAR, has_projects VARCHAR, has_exams VARCHAR, num_reviews INT, clarity_score INT, easiness_score INT, helpfulness_score INT)
CREATE TABLE program_course (program_id INT, course_id INT, workload INT, category VARCHAR)
CREATE TABLE offering_instructor (offering_instructor_id INT, offering_id INT, instructor_id INT)
CREATE TABLE instructor (instructor_id INT, name VARCHAR, uniqname VARCHAR)
CREATE TABLE gsi (course_offering_id INT, student_id INT)
| Over the course of the next 6 semesters , what classes will be available ? | SELECT DISTINCT course.name, course.number, semester.semester, semester.year FROM course, course_offering, semester WHERE ((semester.semester = 'FA' AND semester.year = 2016) OR (semester.semester = 'FA' AND semester.year = 2017) OR (semester.semester = 'FA' AND semester.year = 2018) OR (semester.semester = 'WN' AND semester.year = 2017) OR (semester.semester = 'WN' AND semester.year = 2018) OR (semester.semester = 'WN' AND semester.year = 2019)) AND course.course_id = course_offering.course_id AND course.department = 'EECS' AND semester.semester_id = course_offering.semester ORDER BY semester.year, semester.semester | SELECT DISTINCT "course"."name", "course"."number", "semester"."semester", "semester"."year" FROM "course" JOIN "course_offering" ON "course"."course_id" = "course_offering"."course_id" JOIN "semester" ON "course_offering"."semester" = "semester"."semester_id" AND (("semester"."semester" = 'FA' AND "semester"."year" = 2016) OR ("semester"."semester" = 'FA' AND "semester"."year" = 2017) OR ("semester"."semester" = 'FA' AND "semester"."year" = 2018) OR ("semester"."semester" = 'WN' AND "semester"."year" = 2017) OR ("semester"."semester" = 'WN' AND "semester"."year" = 2018) OR ("semester"."semester" = 'WN' AND "semester"."year" = 2019)) WHERE "course"."department" = 'EECS' ORDER BY "semester"."year" NULLS FIRST, "semester"."semester" NULLS FIRST | 0.734375 |
CREATE TABLE transfers (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, eventtype TEXT, careunit TEXT, wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE d_icd_diagnoses (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE admissions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, admittime TIME, dischtime TIME, admission_type TEXT, admission_location TEXT, discharge_location TEXT, insurance TEXT, language TEXT, marital_status TEXT, ethnicity TEXT, age DECIMAL)
CREATE TABLE labevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE microbiologyevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, charttime TIME, spec_type_desc TEXT, org_name TEXT)
CREATE TABLE cost (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, event_type TEXT, event_id DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE d_items (row_id DECIMAL, itemid DECIMAL, label TEXT, linksto TEXT)
CREATE TABLE patients (row_id DECIMAL, subject_id DECIMAL, gender TEXT, dob TIME, dod TIME)
CREATE TABLE icustays (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, first_careunit TEXT, last_careunit TEXT, first_wardid DECIMAL, last_wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE outputevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, value DECIMAL)
CREATE TABLE prescriptions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, startdate TIME, enddate TIME, drug TEXT, dose_val_rx TEXT, dose_unit_rx TEXT, route TEXT)
CREATE TABLE d_labitems (row_id DECIMAL, itemid DECIMAL, label TEXT)
CREATE TABLE inputevents_cv (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, amount DECIMAL)
CREATE TABLE d_icd_procedures (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE procedures_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE chartevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE diagnoses_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
| when was patient 77177 prescribed medications through the iv drip route for the last time in their last hospital encounter? | SELECT prescriptions.startdate FROM prescriptions WHERE prescriptions.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 77177 AND NOT admissions.dischtime IS NULL ORDER BY admissions.admittime DESC LIMIT 1) AND prescriptions.route = 'iv drip' ORDER BY prescriptions.startdate DESC LIMIT 1 | SELECT "prescriptions"."startdate" FROM "prescriptions" WHERE "prescriptions"."hadm_id" IN (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 77177 AND NOT "admissions"."dischtime" IS NULL ORDER BY "admissions"."admittime" DESC NULLS LAST LIMIT 1) AND "prescriptions"."route" = 'iv drip' ORDER BY "prescriptions"."startdate" DESC NULLS LAST LIMIT 1 | 0.371094 |
CREATE TABLE table_51406 ("Name" TEXT, "Current version" TEXT, "System" TEXT, "Platform" TEXT, "License" TEXT)
| what is the current version with license gpl v3? | SELECT "Current version" FROM table_51406 WHERE "License" = 'gpl v3' | SELECT "Current version" FROM "table_51406" WHERE "License" = 'gpl v3' | 0.068359 |
CREATE TABLE table_13657749_2 (to_winning_team VARCHAR, gto_winning_team VARCHAR)
| Who is Gene Felton's TO Winning Team? | SELECT to_winning_team FROM table_13657749_2 WHERE gto_winning_team = "Gene Felton" | SELECT "to_winning_team" FROM "table_13657749_2" WHERE "Gene Felton" = "gto_winning_team" | 0.086914 |
CREATE TABLE table_25711913_2 (touchdowns INT, position VARCHAR)
| What was the minimum touchdowns of the Fullback player? | SELECT MIN(touchdowns) FROM table_25711913_2 WHERE position = "Fullback" | SELECT MIN("touchdowns") FROM "table_25711913_2" WHERE "Fullback" = "position" | 0.076172 |
CREATE TABLE table_name_16 (position VARCHAR, name VARCHAR)
| What position has ronjay buenafe as the name? | SELECT position FROM table_name_16 WHERE name = "ronjay buenafe" | SELECT "position" FROM "table_name_16" WHERE "name" = "ronjay buenafe" | 0.068359 |
CREATE TABLE table_24384 ("Title" TEXT, "Total copies sold" TEXT, "Sales breakdown" TEXT, "Genre" TEXT, "Release date" TEXT, "Developer" TEXT, "Publisher" TEXT)
| What's the sales breakdown for Nintendo's Mario Kart DS? | SELECT "Sales breakdown" FROM table_24384 WHERE "Publisher" = 'Nintendo' AND "Title" = 'Mario Kart DS' | SELECT "Sales breakdown" FROM "table_24384" WHERE "Publisher" = 'Nintendo' AND "Title" = 'Mario Kart DS' | 0.101563 |
CREATE TABLE table_18177 ("District" TEXT, "Incumbent" TEXT, "Party" TEXT, "First elected" FLOAT, "Result" TEXT, "Candidates" TEXT)
| Who were the candidates in the district where Charlie Norwood is the incumbent? | SELECT "Candidates" FROM table_18177 WHERE "Incumbent" = 'Charlie Norwood' | SELECT "Candidates" FROM "table_18177" WHERE "Incumbent" = 'Charlie Norwood' | 0.074219 |
CREATE TABLE table_36026 ("Round" FLOAT, "Pick" FLOAT, "Player" TEXT, "Position" TEXT, "School/Club Team" TEXT)
| Which Round is the highest one that has a Position of running back? | SELECT MAX("Round") FROM table_36026 WHERE "Position" = 'running back' | SELECT MAX("Round") FROM "table_36026" WHERE "Position" = 'running back' | 0.070313 |
CREATE TABLE microlab (microlabid DECIMAL, patientunitstayid DECIMAL, culturesite TEXT, organism TEXT, culturetakentime TIME)
CREATE TABLE treatment (treatmentid DECIMAL, patientunitstayid DECIMAL, treatmentname TEXT, treatmenttime TIME)
CREATE TABLE medication (medicationid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, dosage TEXT, routeadmin TEXT, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE lab (labid DECIMAL, patientunitstayid DECIMAL, labname TEXT, labresult DECIMAL, labresulttime TIME)
CREATE TABLE intakeoutput (intakeoutputid DECIMAL, patientunitstayid DECIMAL, cellpath TEXT, celllabel TEXT, cellvaluenumeric DECIMAL, intakeoutputtime TIME)
CREATE TABLE cost (costid DECIMAL, uniquepid TEXT, patienthealthsystemstayid DECIMAL, eventtype TEXT, eventid DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE vitalperiodic (vitalperiodicid DECIMAL, patientunitstayid DECIMAL, temperature DECIMAL, sao2 DECIMAL, heartrate DECIMAL, respiration DECIMAL, systemicsystolic DECIMAL, systemicdiastolic DECIMAL, systemicmean DECIMAL, observationtime TIME)
CREATE TABLE allergy (allergyid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, allergyname TEXT, allergytime TIME)
CREATE TABLE patient (uniquepid TEXT, patienthealthsystemstayid DECIMAL, patientunitstayid DECIMAL, gender TEXT, age TEXT, ethnicity TEXT, hospitalid DECIMAL, wardid DECIMAL, admissionheight DECIMAL, admissionweight DECIMAL, dischargeweight DECIMAL, hospitaladmittime TIME, hospitaladmitsource TEXT, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus TEXT)
CREATE TABLE diagnosis (diagnosisid DECIMAL, patientunitstayid DECIMAL, diagnosisname TEXT, diagnosistime TIME, icd9code TEXT)
| list of ids of patients diagnosed with polyuria - post atn diuresis until 4 years ago. | SELECT patient.uniquepid FROM patient WHERE patient.patientunitstayid IN (SELECT diagnosis.patientunitstayid FROM diagnosis WHERE diagnosis.diagnosisname = 'polyuria - post atn diuresis' AND DATETIME(diagnosis.diagnosistime) <= DATETIME(CURRENT_TIME(), '-4 year')) | WITH "_u_0" AS (SELECT "diagnosis"."patientunitstayid" FROM "diagnosis" WHERE "diagnosis"."diagnosisname" = 'polyuria - post atn diuresis' AND DATETIME("diagnosis"."diagnosistime") <= DATETIME(CURRENT_TIME(), '-4 year') GROUP BY "patientunitstayid") SELECT "patient"."uniquepid" FROM "patient" LEFT JOIN "_u_0" AS "_u_0" ON "_u_0"."" = "patient"."patientunitstayid" WHERE NOT "_u_0"."" IS NULL | 0.383789 |
CREATE TABLE table_name_49 (nationality VARCHAR, name VARCHAR)
| What nation is Marion Buisson playing for? | SELECT nationality FROM table_name_49 WHERE name = "marion buisson" | SELECT "nationality" FROM "table_name_49" WHERE "marion buisson" = "name" | 0.071289 |
CREATE TABLE table_73434 ("P" FLOAT, "Player" TEXT, "League" FLOAT, "Scottish Cup" FLOAT, "League Cup" FLOAT, "Challenge Cup" FLOAT, "Total" FLOAT)
| What is bryan hodge's player number | SELECT COUNT("P") FROM table_73434 WHERE "Player" = 'Bryan Hodge' | SELECT COUNT("P") FROM "table_73434" WHERE "Player" = 'Bryan Hodge' | 0.06543 |
CREATE TABLE head (head_ID INT, name TEXT, born_state TEXT, age FLOAT)
CREATE TABLE department (Department_ID INT, Name TEXT, Creation TEXT, Ranking INT, Budget_in_Billions FLOAT, Num_Employees FLOAT)
CREATE TABLE management (department_ID INT, head_ID INT, temporary_acting TEXT)
| How many departments are built in each year? Group by creation time in a line chart, and rank x axis from high to low order. | SELECT Creation, COUNT(Creation) FROM department GROUP BY Creation ORDER BY Creation DESC | SELECT "Creation", COUNT("Creation") FROM "department" GROUP BY "Creation" ORDER BY "Creation" DESC NULLS LAST | 0.107422 |
CREATE TABLE table_28760804_1 (written_by VARCHAR, us_viewers__million_ VARCHAR)
| Who wrote the episode that got 5.95 million U.S. viewers? | SELECT written_by FROM table_28760804_1 WHERE us_viewers__million_ = "5.95" | SELECT "written_by" FROM "table_28760804_1" WHERE "5.95" = "us_viewers__million_" | 0.079102 |
CREATE TABLE table_41884 ("Month , year" TEXT, "Sunk by U-Boat" FLOAT, "Sunk by aircraft" FLOAT, "Sunk by warship or raider" FLOAT, "Sunk by mines" FLOAT, "German submarines lost" FLOAT)
| What is the total number of sunk by U-boats with less than 2 German submarines lost, 56328 sunk by aircrafts, and more than 8269 sunk by mines? | SELECT COUNT("Sunk by U-Boat") FROM table_41884 WHERE "German submarines lost" < '2' AND "Sunk by aircraft" = '56328' AND "Sunk by mines" > '8269' | SELECT COUNT("Sunk by U-Boat") FROM "table_41884" WHERE "German submarines lost" < '2' AND "Sunk by aircraft" = '56328' AND "Sunk by mines" > '8269' | 0.144531 |
CREATE TABLE tryout (pid DECIMAL, cname TEXT, ppos TEXT, decision TEXT)
CREATE TABLE player (pid DECIMAL, pname TEXT, ycard TEXT, hs DECIMAL)
CREATE TABLE college (cname TEXT, state TEXT, enr DECIMAL)
| In which state is the college that Charles attends? | SELECT T1.state FROM college AS T1 JOIN tryout AS T2 ON T1.cname = T2.cname JOIN player AS T3 ON T2.pid = T3.pid WHERE T3.pname = 'Charles' | SELECT "T1"."state" FROM "college" AS "T1" JOIN "tryout" AS "T2" ON "T1"."cname" = "T2"."cname" JOIN "player" AS "T3" ON "T2"."pid" = "T3"."pid" AND "T3"."pname" = 'Charles' | 0.168945 |
CREATE TABLE departments (DEPARTMENT_ID DECIMAL, DEPARTMENT_NAME VARCHAR, MANAGER_ID DECIMAL, LOCATION_ID DECIMAL)
CREATE TABLE locations (LOCATION_ID DECIMAL, STREET_ADDRESS VARCHAR, POSTAL_CODE VARCHAR, CITY VARCHAR, STATE_PROVINCE VARCHAR, COUNTRY_ID VARCHAR)
CREATE TABLE countries (COUNTRY_ID VARCHAR, COUNTRY_NAME VARCHAR, REGION_ID DECIMAL)
CREATE TABLE employees (EMPLOYEE_ID DECIMAL, FIRST_NAME VARCHAR, LAST_NAME VARCHAR, EMAIL VARCHAR, PHONE_NUMBER VARCHAR, HIRE_DATE DATE, JOB_ID VARCHAR, SALARY DECIMAL, COMMISSION_PCT DECIMAL, MANAGER_ID DECIMAL, DEPARTMENT_ID DECIMAL)
CREATE TABLE jobs (JOB_ID VARCHAR, JOB_TITLE VARCHAR, MIN_SALARY DECIMAL, MAX_SALARY DECIMAL)
CREATE TABLE regions (REGION_ID DECIMAL, REGION_NAME VARCHAR)
CREATE TABLE job_history (EMPLOYEE_ID DECIMAL, START_DATE DATE, END_DATE DATE, JOB_ID VARCHAR, DEPARTMENT_ID DECIMAL)
| 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, a line chart shows the trend of commission_pct over hire_date . | SELECT HIRE_DATE, COMMISSION_PCT FROM employees WHERE SALARY BETWEEN 8000 AND 12000 AND COMMISSION_PCT <> "null" OR DEPARTMENT_ID <> 40 | SELECT "HIRE_DATE", "COMMISSION_PCT" 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 PostHistoryTypes (Id DECIMAL, Name TEXT)
CREATE TABLE SuggestedEditVotes (Id DECIMAL, SuggestedEditId DECIMAL, UserId DECIMAL, VoteTypeId DECIMAL, CreationDate TIME, TargetUserId DECIMAL, TargetRepChange DECIMAL)
CREATE TABLE ReviewRejectionReasons (Id DECIMAL, Name TEXT, Description TEXT, PostTypeId DECIMAL)
CREATE TABLE Users (Id DECIMAL, Reputation DECIMAL, CreationDate TIME, DisplayName TEXT, LastAccessDate TIME, WebsiteUrl TEXT, Location TEXT, AboutMe TEXT, Views DECIMAL, UpVotes DECIMAL, DownVotes DECIMAL, ProfileImageUrl TEXT, EmailHash TEXT, AccountId DECIMAL)
CREATE TABLE PostNoticeTypes (Id DECIMAL, ClassId DECIMAL, Name TEXT, Body TEXT, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId DECIMAL)
CREATE TABLE CloseReasonTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE ReviewTasks (Id DECIMAL, ReviewTaskTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId DECIMAL, PostId DECIMAL, SuggestedEditId DECIMAL, CompletedByReviewTaskId DECIMAL)
CREATE TABLE FlagTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE Posts (Id DECIMAL, PostTypeId DECIMAL, AcceptedAnswerId DECIMAL, ParentId DECIMAL, CreationDate TIME, DeletionDate TIME, Score DECIMAL, ViewCount DECIMAL, Body TEXT, OwnerUserId DECIMAL, OwnerDisplayName TEXT, LastEditorUserId DECIMAL, LastEditorDisplayName TEXT, LastEditDate TIME, LastActivityDate TIME, Title TEXT, Tags TEXT, AnswerCount DECIMAL, CommentCount DECIMAL, FavoriteCount DECIMAL, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense TEXT)
CREATE TABLE ReviewTaskResultTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE PostTypes (Id DECIMAL, Name TEXT)
CREATE TABLE ReviewTaskTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE Votes (Id DECIMAL, PostId DECIMAL, VoteTypeId DECIMAL, UserId DECIMAL, CreationDate TIME, BountyAmount DECIMAL)
CREATE TABLE Comments (Id DECIMAL, PostId DECIMAL, Score DECIMAL, Text TEXT, CreationDate TIME, UserDisplayName TEXT, UserId DECIMAL, ContentLicense TEXT)
CREATE TABLE Tags (Id DECIMAL, TagName TEXT, Count DECIMAL, ExcerptPostId DECIMAL, WikiPostId DECIMAL)
CREATE TABLE ReviewTaskStates (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE PostNotices (Id DECIMAL, PostId DECIMAL, PostNoticeTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body TEXT, OwnerUserId DECIMAL, DeletionUserId DECIMAL)
CREATE TABLE PostFeedback (Id DECIMAL, PostId DECIMAL, IsAnonymous BOOLEAN, VoteTypeId DECIMAL, CreationDate TIME)
CREATE TABLE PostTags (PostId DECIMAL, TagId DECIMAL)
CREATE TABLE ReviewTaskResults (Id DECIMAL, ReviewTaskId DECIMAL, ReviewTaskResultTypeId DECIMAL, CreationDate TIME, RejectionReasonId DECIMAL, Comment TEXT)
CREATE TABLE PendingFlags (Id DECIMAL, FlagTypeId DECIMAL, PostId DECIMAL, CreationDate TIME, CloseReasonTypeId DECIMAL, CloseAsOffTopicReasonTypeId DECIMAL, DuplicateOfQuestionId DECIMAL, BelongsOnBaseHostAddress TEXT)
CREATE TABLE VoteTypes (Id DECIMAL, Name TEXT)
CREATE TABLE PostsWithDeleted (Id DECIMAL, PostTypeId DECIMAL, AcceptedAnswerId DECIMAL, ParentId DECIMAL, CreationDate TIME, DeletionDate TIME, Score DECIMAL, ViewCount DECIMAL, Body TEXT, OwnerUserId DECIMAL, OwnerDisplayName TEXT, LastEditorUserId DECIMAL, LastEditorDisplayName TEXT, LastEditDate TIME, LastActivityDate TIME, Title TEXT, Tags TEXT, AnswerCount DECIMAL, CommentCount DECIMAL, FavoriteCount DECIMAL, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense TEXT)
CREATE TABLE CloseAsOffTopicReasonTypes (Id DECIMAL, IsUniversal BOOLEAN, InputTitle TEXT, MarkdownInputGuidance TEXT, MarkdownPostOwnerGuidance TEXT, MarkdownPrivilegedUserGuidance TEXT, MarkdownConcensusDescription TEXT, CreationDate TIME, CreationModeratorId DECIMAL, ApprovalDate TIME, ApprovalModeratorId DECIMAL, DeactivationDate TIME, DeactivationModeratorId DECIMAL)
CREATE TABLE Badges (Id DECIMAL, UserId DECIMAL, Name TEXT, Date TIME, Class DECIMAL, TagBased BOOLEAN)
CREATE TABLE PostHistory (Id DECIMAL, PostHistoryTypeId DECIMAL, PostId DECIMAL, RevisionGUID other, CreationDate TIME, UserId DECIMAL, UserDisplayName TEXT, Comment TEXT, Text TEXT, ContentLicense TEXT)
CREATE TABLE PostLinks (Id DECIMAL, CreationDate TIME, PostId DECIMAL, RelatedPostId DECIMAL, LinkTypeId DECIMAL)
CREATE TABLE TagSynonyms (Id DECIMAL, SourceTagName TEXT, TargetTagName TEXT, CreationDate TIME, OwnerUserId DECIMAL, AutoRenameCount DECIMAL, LastAutoRename TIME, Score DECIMAL, ApprovedByUserId DECIMAL, ApprovalDate TIME)
CREATE TABLE SuggestedEdits (Id DECIMAL, PostId DECIMAL, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId DECIMAL, Comment TEXT, Text TEXT, Title TEXT, Tags TEXT, RevisionGUID other)
| Questions for Bumping by Community. | WITH Questions AS (SELECT Id, PostTypeId FROM Posts WHERE PostTypeId = 1 AND LastActivityDate <= DATEADD(day, -30, GETDATE()) AND AnswerCount != 0), AnswerScore AS (SELECT ParentId, MAX(Score) AS MaxScore FROM Posts WHERE PostTypeId = 2 GROUP BY ParentId), TotalQuestions AS (SELECT PostTypeId, COUNT(*) AS Total FROM Posts WHERE PostTypeId = 1 AND CreationDate <= DATEADD(day, -30, GETDATE()) GROUP BY PostTypeId) SELECT Id AS "post_link" FROM Questions AS q JOIN AnswerScore AS a ON q.Id = a.ParentId JOIN TotalQuestions AS t ON q.PostTypeId = t.PostTypeId WHERE a.MaxScore = 0 | WITH "AnswerScore" AS (SELECT "ParentId", MAX("Score") AS "MaxScore" FROM "Posts" WHERE "PostTypeId" = 2 GROUP BY "ParentId"), "TotalQuestions" AS (SELECT "PostTypeId" FROM "Posts" WHERE "CreationDate" <= DATEADD(DAY, -30, GETDATE()) AND "PostTypeId" = 1 GROUP BY "PostTypeId") SELECT "Id" AS "post_link" FROM "Posts" JOIN "AnswerScore" AS "a" ON "Id" = "a"."ParentId" AND "a"."MaxScore" = 0 JOIN "TotalQuestions" AS "t" ON "PostTypeId" = "t"."PostTypeId" WHERE "AnswerCount" <> 0 AND "LastActivityDate" <= DATEADD(DAY, -30, GETDATE()) AND "PostTypeId" = 1 | 0.542969 |
CREATE TABLE table_69303 ("Year" FLOAT, "Artist" TEXT, "Album / Song" TEXT, "Award" TEXT, "Result / Category" TEXT)
| What is the most recent year with the Album/Song 'the best worst-case scenario'? | SELECT MAX("Year") FROM table_69303 WHERE "Album / Song" = 'the best worst-case scenario' | SELECT MAX("Year") FROM "table_69303" WHERE "Album / Song" = 'the best worst-case scenario' | 0.088867 |
CREATE TABLE table_name_72 (votes VARCHAR, _percentage_of_national_vote VARCHAR, candidates_nominated VARCHAR)
| How many votes were tallied with a % of national vote of 13.11, and over 39 candidates nominated? | SELECT COUNT(votes) FROM table_name_72 WHERE _percentage_of_national_vote = 13.11 AND candidates_nominated > 39 | SELECT COUNT("votes") FROM "table_name_72" WHERE "_percentage_of_national_vote" = 13.11 AND "candidates_nominated" > 39 | 0.116211 |
CREATE TABLE table_21050 ("Club" TEXT, "Played" TEXT, "Won" TEXT, "Drawn" TEXT, "Lost" TEXT, "Points for" TEXT, "Points against" TEXT, "Points difference" TEXT, "Points" TEXT)
| What clubs recorded 748 points to the good? | SELECT "Club" FROM table_21050 WHERE "Points for" = '748' | SELECT "Club" FROM "table_21050" WHERE "Points for" = '748' | 0.057617 |
CREATE TABLE table_77412 ("Player" TEXT, "Country" TEXT, "Year ( s ) won" TEXT, "Total" FLOAT, "To par" TEXT, "Finish" TEXT)
| What is the total of Mark O'meara? | SELECT MIN("Total") FROM table_77412 WHERE "Player" = 'mark o''meara' | SELECT MIN("Total") FROM "table_77412" WHERE "Player" = 'mark o\'meara' | 0.069336 |
CREATE TABLE table_74180 ("Game" FLOAT, "Date" TEXT, "Team" TEXT, "Score" TEXT, "High points" TEXT, "High rebounds" TEXT, "High assists" TEXT, "Location Attendance" TEXT, "Record" TEXT)
| Name the high points for march 30 | SELECT "High points" FROM table_74180 WHERE "Date" = 'March 30' | SELECT "High points" FROM "table_74180" WHERE "Date" = 'March 30' | 0.063477 |
CREATE TABLE d_icd_procedures (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE patients (row_id DECIMAL, subject_id DECIMAL, gender TEXT, dob TIME, dod TIME)
CREATE TABLE prescriptions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, startdate TIME, enddate TIME, drug TEXT, dose_val_rx TEXT, dose_unit_rx TEXT, route TEXT)
CREATE TABLE d_items (row_id DECIMAL, itemid DECIMAL, label TEXT, linksto TEXT)
CREATE TABLE transfers (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, eventtype TEXT, careunit TEXT, wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE admissions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, admittime TIME, dischtime TIME, admission_type TEXT, admission_location TEXT, discharge_location TEXT, insurance TEXT, language TEXT, marital_status TEXT, ethnicity TEXT, age DECIMAL)
CREATE TABLE procedures_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE outputevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, value DECIMAL)
CREATE TABLE d_labitems (row_id DECIMAL, itemid DECIMAL, label TEXT)
CREATE TABLE diagnoses_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE labevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE chartevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE cost (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, event_type TEXT, event_id DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE microbiologyevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, charttime TIME, spec_type_desc TEXT, org_name TEXT)
CREATE TABLE d_icd_diagnoses (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE inputevents_cv (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, amount DECIMAL)
CREATE TABLE icustays (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, first_careunit TEXT, last_careunit TEXT, first_wardid DECIMAL, last_wardid DECIMAL, intime TIME, outtime TIME)
| what was the last foley output time of patient 2238 on 04/11/last year. | SELECT outputevents.charttime FROM outputevents WHERE outputevents.icustay_id IN (SELECT icustays.icustay_id FROM icustays WHERE icustays.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 2238)) AND outputevents.itemid IN (SELECT d_items.itemid FROM d_items WHERE d_items.label = 'foley' AND d_items.linksto = 'outputevents') AND DATETIME(outputevents.charttime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year') AND STRFTIME('%m-%d', outputevents.charttime) = '04-11' ORDER BY outputevents.charttime DESC LIMIT 1 | WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 2238 GROUP BY "hadm_id"), "_u_1" AS (SELECT "icustays"."icustay_id" FROM "icustays" LEFT JOIN "_u_0" AS "_u_0" ON "_u_0"."" = "icustays"."hadm_id" WHERE NOT "_u_0"."" IS NULL GROUP BY "icustay_id"), "_u_2" AS (SELECT "d_items"."itemid" FROM "d_items" WHERE "d_items"."label" = 'foley' AND "d_items"."linksto" = 'outputevents' GROUP BY "itemid") SELECT "outputevents"."charttime" FROM "outputevents" LEFT JOIN "_u_1" AS "_u_1" ON "_u_1"."" = "outputevents"."icustay_id" LEFT JOIN "_u_2" AS "_u_2" ON "_u_2"."" = "outputevents"."itemid" WHERE DATETIME("outputevents"."charttime", 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year') AND NOT "_u_1"."" IS NULL AND NOT "_u_2"."" IS NULL AND STRFTIME('%m-%d', "outputevents"."charttime") = '04-11' ORDER BY "outputevents"."charttime" DESC NULLS LAST LIMIT 1 | 0.897461 |
CREATE TABLE table_name_10 (driver VARCHAR, grid VARCHAR)
| Which driver's grid was 24? | SELECT driver FROM table_name_10 WHERE grid = 24 | SELECT "driver" FROM "table_name_10" WHERE "grid" = 24 | 0.052734 |
CREATE TABLE exhibition_record (Exhibition_ID INT, Date TEXT, Attendance INT)
CREATE TABLE exhibition (Exhibition_ID INT, Year INT, Theme TEXT, Artist_ID INT, Ticket_Price FLOAT)
CREATE TABLE artist (Artist_ID INT, Name TEXT, Country TEXT, Year_Join INT, Age INT)
| Return a histogram on how many exhibitions has each artist had?, list total number from low to high order. | SELECT Name, COUNT(*) FROM exhibition AS T1 JOIN artist AS T2 ON T1.Artist_ID = T2.Artist_ID GROUP BY T1.Artist_ID ORDER BY COUNT(*) | SELECT "Name", COUNT(*) FROM "exhibition" AS "T1" JOIN "artist" AS "T2" ON "T1"."Artist_ID" = "T2"."Artist_ID" GROUP BY "T1"."Artist_ID" ORDER BY COUNT(*) NULLS FIRST | 0.162109 |
CREATE TABLE Votes (Id DECIMAL, PostId DECIMAL, VoteTypeId DECIMAL, UserId DECIMAL, CreationDate TIME, BountyAmount DECIMAL)
CREATE TABLE PostNoticeTypes (Id DECIMAL, ClassId DECIMAL, Name TEXT, Body TEXT, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId DECIMAL)
CREATE TABLE Comments (Id DECIMAL, PostId DECIMAL, Score DECIMAL, Text TEXT, CreationDate TIME, UserDisplayName TEXT, UserId DECIMAL, ContentLicense TEXT)
CREATE TABLE PostFeedback (Id DECIMAL, PostId DECIMAL, IsAnonymous BOOLEAN, VoteTypeId DECIMAL, CreationDate TIME)
CREATE TABLE PostHistoryTypes (Id DECIMAL, Name TEXT)
CREATE TABLE PostTypes (Id DECIMAL, Name TEXT)
CREATE TABLE PostNotices (Id DECIMAL, PostId DECIMAL, PostNoticeTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body TEXT, OwnerUserId DECIMAL, DeletionUserId DECIMAL)
CREATE TABLE SuggestedEditVotes (Id DECIMAL, SuggestedEditId DECIMAL, UserId DECIMAL, VoteTypeId DECIMAL, CreationDate TIME, TargetUserId DECIMAL, TargetRepChange DECIMAL)
CREATE TABLE ReviewTaskStates (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE SuggestedEdits (Id DECIMAL, PostId DECIMAL, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId DECIMAL, Comment TEXT, Text TEXT, Title TEXT, Tags TEXT, RevisionGUID other)
CREATE TABLE PostsWithDeleted (Id DECIMAL, PostTypeId DECIMAL, AcceptedAnswerId DECIMAL, ParentId DECIMAL, CreationDate TIME, DeletionDate TIME, Score DECIMAL, ViewCount DECIMAL, Body TEXT, OwnerUserId DECIMAL, OwnerDisplayName TEXT, LastEditorUserId DECIMAL, LastEditorDisplayName TEXT, LastEditDate TIME, LastActivityDate TIME, Title TEXT, Tags TEXT, AnswerCount DECIMAL, CommentCount DECIMAL, FavoriteCount DECIMAL, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense TEXT)
CREATE TABLE ReviewTaskResultTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE FlagTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE PostLinks (Id DECIMAL, CreationDate TIME, PostId DECIMAL, RelatedPostId DECIMAL, LinkTypeId DECIMAL)
CREATE TABLE Posts (Id DECIMAL, PostTypeId DECIMAL, AcceptedAnswerId DECIMAL, ParentId DECIMAL, CreationDate TIME, DeletionDate TIME, Score DECIMAL, ViewCount DECIMAL, Body TEXT, OwnerUserId DECIMAL, OwnerDisplayName TEXT, LastEditorUserId DECIMAL, LastEditorDisplayName TEXT, LastEditDate TIME, LastActivityDate TIME, Title TEXT, Tags TEXT, AnswerCount DECIMAL, CommentCount DECIMAL, FavoriteCount DECIMAL, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense TEXT)
CREATE TABLE PostTags (PostId DECIMAL, TagId DECIMAL)
CREATE TABLE PostHistory (Id DECIMAL, PostHistoryTypeId DECIMAL, PostId DECIMAL, RevisionGUID other, CreationDate TIME, UserId DECIMAL, UserDisplayName TEXT, Comment TEXT, Text TEXT, ContentLicense TEXT)
CREATE TABLE ReviewTasks (Id DECIMAL, ReviewTaskTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId DECIMAL, PostId DECIMAL, SuggestedEditId DECIMAL, CompletedByReviewTaskId DECIMAL)
CREATE TABLE ReviewTaskTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE ReviewRejectionReasons (Id DECIMAL, Name TEXT, Description TEXT, PostTypeId DECIMAL)
CREATE TABLE CloseAsOffTopicReasonTypes (Id DECIMAL, IsUniversal BOOLEAN, InputTitle TEXT, MarkdownInputGuidance TEXT, MarkdownPostOwnerGuidance TEXT, MarkdownPrivilegedUserGuidance TEXT, MarkdownConcensusDescription TEXT, CreationDate TIME, CreationModeratorId DECIMAL, ApprovalDate TIME, ApprovalModeratorId DECIMAL, DeactivationDate TIME, DeactivationModeratorId DECIMAL)
CREATE TABLE Tags (Id DECIMAL, TagName TEXT, Count DECIMAL, ExcerptPostId DECIMAL, WikiPostId DECIMAL)
CREATE TABLE Users (Id DECIMAL, Reputation DECIMAL, CreationDate TIME, DisplayName TEXT, LastAccessDate TIME, WebsiteUrl TEXT, Location TEXT, AboutMe TEXT, Views DECIMAL, UpVotes DECIMAL, DownVotes DECIMAL, ProfileImageUrl TEXT, EmailHash TEXT, AccountId DECIMAL)
CREATE TABLE TagSynonyms (Id DECIMAL, SourceTagName TEXT, TargetTagName TEXT, CreationDate TIME, OwnerUserId DECIMAL, AutoRenameCount DECIMAL, LastAutoRename TIME, Score DECIMAL, ApprovedByUserId DECIMAL, ApprovalDate TIME)
CREATE TABLE PendingFlags (Id DECIMAL, FlagTypeId DECIMAL, PostId DECIMAL, CreationDate TIME, CloseReasonTypeId DECIMAL, CloseAsOffTopicReasonTypeId DECIMAL, DuplicateOfQuestionId DECIMAL, BelongsOnBaseHostAddress TEXT)
CREATE TABLE VoteTypes (Id DECIMAL, Name TEXT)
CREATE TABLE Badges (Id DECIMAL, UserId DECIMAL, Name TEXT, Date TIME, Class DECIMAL, TagBased BOOLEAN)
CREATE TABLE CloseReasonTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE ReviewTaskResults (Id DECIMAL, ReviewTaskId DECIMAL, ReviewTaskResultTypeId DECIMAL, CreationDate TIME, RejectionReasonId DECIMAL, Comment TEXT)
| Top users per tag in Sweden. | WITH USER_BY_TAG AS (SELECT ROW_NUMBER() OVER (ORDER BY COUNT(*) DESC) AS Rank, u.Id AS "user_link", TagName, COUNT(*) AS UpVotes FROM Tags AS t INNER JOIN PostTags AS pt ON pt.TagId = t.Id INNER JOIN Posts AS p ON p.ParentId = pt.PostId INNER JOIN Votes AS v ON v.PostId = p.Id AND VoteTypeId = 2 INNER JOIN Users AS u ON u.Id = p.OwnerUserId WHERE LOWER(Location) LIKE '%sweden%' GROUP BY u.Id, TagName) SELECT * FROM USER_BY_TAG WHERE rank <= 1000 ORDER BY UpVotes DESC | WITH "USER_BY_TAG" AS (SELECT ROW_NUMBER() OVER (ORDER BY COUNT(*) DESC NULLS LAST) AS "Rank", "u"."Id" AS "user_link", "TagName", COUNT(*) AS "UpVotes" FROM "Tags" AS "t" JOIN "PostTags" AS "pt" ON "pt"."TagId" = "t"."Id" JOIN "Posts" AS "p" ON "p"."ParentId" = "pt"."PostId" JOIN "Users" AS "u" ON "p"."OwnerUserId" = "u"."Id" JOIN "Votes" AS "v" ON "VoteTypeId" = 2 AND "p"."Id" = "v"."PostId" WHERE LOWER("Location") LIKE '%sweden%' GROUP BY "u"."Id", "TagName") SELECT * FROM "USER_BY_TAG" WHERE "rank" <= 1000 ORDER BY "UpVotes" DESC NULLS LAST | 0.537109 |
CREATE TABLE table_42318 ("Date" TEXT, "Score" TEXT, "Set 1" TEXT, "Set 2" TEXT, "Set 3" TEXT, "Set 4" TEXT, "Set 5" TEXT, "Total" TEXT)
| What is the Set 1 with a Set 2 that is 25-19? | SELECT "Set 1" FROM table_42318 WHERE "Set 2" = '25-19' | SELECT "Set 1" FROM "table_42318" WHERE "Set 2" = '25-19' | 0.055664 |
CREATE TABLE table_51908 ("Date" TEXT, "Visitor" TEXT, "Score" TEXT, "Home" TEXT, "Decision" TEXT, "Attendance" FLOAT, "Record" TEXT)
| Who had a 32-29-8 record at home? | SELECT "Home" FROM table_51908 WHERE "Record" = '32-29-8' | SELECT "Home" FROM "table_51908" WHERE "Record" = '32-29-8' | 0.057617 |
CREATE TABLE table_name_52 (position VARCHAR, cfl_team VARCHAR, pick__number VARCHAR)
| Which position's cfl team was the Montreal Alouettes when the pick number was less than 15? | SELECT position FROM table_name_52 WHERE cfl_team = "montreal alouettes" AND pick__number < 15 | SELECT "position" FROM "table_name_52" WHERE "cfl_team" = "montreal alouettes" AND "pick__number" < 15 | 0.099609 |
CREATE TABLE table_name_74 (laps INT, rider VARCHAR, grid VARCHAR)
| What is the sum of laps for Karl Muggeridge on a grid less than 16? | SELECT SUM(laps) FROM table_name_74 WHERE rider = "karl muggeridge" AND grid < 16 | SELECT SUM("laps") FROM "table_name_74" WHERE "grid" < 16 AND "karl muggeridge" = "rider" | 0.086914 |
CREATE TABLE table_11492 ("Player" TEXT, "Nationality" TEXT, "Position" TEXT, "Years for Jazz" TEXT, "School/Club Team" TEXT)
| What nationality is mark eaton, center position? | SELECT "Nationality" FROM table_11492 WHERE "Position" = 'center' AND "Player" = 'mark eaton' | SELECT "Nationality" FROM "table_11492" WHERE "Player" = 'mark eaton' AND "Position" = 'center' | 0.092773 |
CREATE TABLE table_19401346_1 (title VARCHAR, original_air_date VARCHAR)
| What's the title of the episode originally aired on September 23, 2008? | SELECT title FROM table_19401346_1 WHERE original_air_date = "September 23, 2008" | SELECT "title" FROM "table_19401346_1" WHERE "September 23, 2008" = "original_air_date" | 0.084961 |
CREATE TABLE table_name_26 (reg_gp INT, player VARCHAR, pl_gp VARCHAR)
| What is the lowest regular GP Larry Courville, who has a PI GP smaller than 0, has? | SELECT MIN(reg_gp) FROM table_name_26 WHERE player = "larry courville" AND pl_gp < 0 | SELECT MIN("reg_gp") FROM "table_name_26" WHERE "larry courville" = "player" AND "pl_gp" < 0 | 0.089844 |
CREATE TABLE table_74309 ("Track no." FLOAT, "Track" TEXT, "Original Artist" TEXT, "Soloist ( s ) " TEXT, "Vocal Percussionist ( s ) " TEXT, "Arranger ( s ) " TEXT)
| Who arranged song(s) with tom lyle on the vocal percussion? | SELECT "Arranger(s)" FROM table_74309 WHERE "Vocal Percussionist(s)" = 'Tom Lyle' | SELECT "Arranger(s)" FROM "table_74309" WHERE "Vocal Percussionist(s)" = 'Tom Lyle' | 0.081055 |
CREATE TABLE table_22564 ("Position" FLOAT, "Team" TEXT, "Played" FLOAT, "Wins" FLOAT, "Draws P.K. Wins / P.K. Losses" TEXT, "Losses" FLOAT, "Scored" FLOAT, "Conceded" FLOAT, "Points" FLOAT)
| Name the wins for draws pk is 3/0 | SELECT "Wins" FROM table_22564 WHERE "Draws P.K. Wins / P.K. Losses" = '3/0' | SELECT "Wins" FROM "table_22564" WHERE "Draws P.K. Wins / P.K. Losses" = '3/0' | 0.076172 |
CREATE TABLE table_72758 ("Appearances" FLOAT, "School" TEXT, "Wins" FLOAT, "Losses" FLOAT, "Percent" TEXT, "Last Appearance" TEXT)
| How many wins did Baylor have? | SELECT COUNT("Wins") FROM table_72758 WHERE "School" = 'Baylor' | SELECT COUNT("Wins") FROM "table_72758" WHERE "School" = 'Baylor' | 0.063477 |
CREATE TABLE genre (g_name VARCHAR, rating VARCHAR, most_popular_in VARCHAR)
CREATE TABLE artist (artist_name VARCHAR, country VARCHAR, gender VARCHAR, preferred_genre VARCHAR)
CREATE TABLE files (f_id DECIMAL, artist_name VARCHAR, file_size VARCHAR, duration VARCHAR, formats VARCHAR)
CREATE TABLE song (song_name VARCHAR, artist_name VARCHAR, country VARCHAR, f_id DECIMAL, genre_is VARCHAR, rating DECIMAL, languages VARCHAR, releasedate DATE, resolution DECIMAL)
| Show the shortest duration and lowest rating of songs grouped by genre using a bar chart, could you rank in asc by the bar please? | SELECT MIN(T1.duration), MIN(T2.rating) FROM files AS T1 JOIN song AS T2 ON T1.f_id = T2.f_id GROUP BY MIN(T1.duration) ORDER BY MIN(T1.duration) | SELECT MIN("T1"."duration"), MIN("T2"."rating") FROM "files" AS "T1" JOIN "song" AS "T2" ON "T1"."f_id" = "T2"."f_id" GROUP BY MIN("T1"."duration") ORDER BY MIN("T1"."duration") NULLS FIRST | 0.18457 |
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
| how many patients whose admission year is less than 2184 and lab test fluid is urine? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.admityear < "2184" AND lab.fluid = "Urine" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "lab" ON "Urine" = "lab"."fluid" AND "demographic"."hadm_id" = "lab"."hadm_id" WHERE "2184" > "demographic"."admityear" | 0.188477 |
CREATE TABLE table_53283 ("Home team" TEXT, "Home team score" TEXT, "Away team" TEXT, "Away team score" TEXT, "Venue" TEXT, "Crowd" FLOAT, "Date" TEXT)
| Who was the away team at Princes Park? | SELECT "Away team" FROM table_53283 WHERE "Venue" = 'princes park' | SELECT "Away team" FROM "table_53283" WHERE "Venue" = 'princes park' | 0.066406 |
CREATE TABLE d_items (row_id DECIMAL, itemid DECIMAL, label TEXT, linksto TEXT)
CREATE TABLE outputevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, value DECIMAL)
CREATE TABLE patients (row_id DECIMAL, subject_id DECIMAL, gender TEXT, dob TIME, dod TIME)
CREATE TABLE procedures_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE diagnoses_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE transfers (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, eventtype TEXT, careunit TEXT, wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE chartevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE cost (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, event_type TEXT, event_id DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE d_labitems (row_id DECIMAL, itemid DECIMAL, label TEXT)
CREATE TABLE d_icd_procedures (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE icustays (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, first_careunit TEXT, last_careunit TEXT, first_wardid DECIMAL, last_wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE inputevents_cv (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, amount DECIMAL)
CREATE TABLE labevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE microbiologyevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, charttime TIME, spec_type_desc TEXT, org_name TEXT)
CREATE TABLE prescriptions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, startdate TIME, enddate TIME, drug TEXT, dose_val_rx TEXT, dose_unit_rx TEXT, route TEXT)
CREATE TABLE admissions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, admittime TIME, dischtime TIME, admission_type TEXT, admission_location TEXT, discharge_location TEXT, insurance TEXT, language TEXT, marital_status TEXT, ethnicity TEXT, age DECIMAL)
CREATE TABLE d_icd_diagnoses (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
| how does opn aortic valvuloplasty cost? | SELECT DISTINCT cost.cost FROM cost WHERE cost.event_type = 'procedures_icd' AND cost.event_id IN (SELECT procedures_icd.row_id FROM procedures_icd WHERE procedures_icd.icd9_code = (SELECT d_icd_procedures.icd9_code FROM d_icd_procedures WHERE d_icd_procedures.short_title = 'opn aortic valvuloplasty')) | WITH "_u_1" AS (SELECT "procedures_icd"."row_id" FROM "procedures_icd" JOIN "d_icd_procedures" ON "d_icd_procedures"."icd9_code" = "procedures_icd"."icd9_code" AND "d_icd_procedures"."short_title" = 'opn aortic valvuloplasty' GROUP BY "row_id") SELECT DISTINCT "cost"."cost" FROM "cost" LEFT JOIN "_u_1" AS "_u_1" ON "_u_1"."" = "cost"."event_id" WHERE "cost"."event_type" = 'procedures_icd' AND NOT "_u_1"."" IS NULL | 0.407227 |
CREATE TABLE CloseAsOffTopicReasonTypes (Id DECIMAL, IsUniversal BOOLEAN, InputTitle TEXT, MarkdownInputGuidance TEXT, MarkdownPostOwnerGuidance TEXT, MarkdownPrivilegedUserGuidance TEXT, MarkdownConcensusDescription TEXT, CreationDate TIME, CreationModeratorId DECIMAL, ApprovalDate TIME, ApprovalModeratorId DECIMAL, DeactivationDate TIME, DeactivationModeratorId DECIMAL)
CREATE TABLE PostLinks (Id DECIMAL, CreationDate TIME, PostId DECIMAL, RelatedPostId DECIMAL, LinkTypeId DECIMAL)
CREATE TABLE PostFeedback (Id DECIMAL, PostId DECIMAL, IsAnonymous BOOLEAN, VoteTypeId DECIMAL, CreationDate TIME)
CREATE TABLE PostTags (PostId DECIMAL, TagId DECIMAL)
CREATE TABLE ReviewTaskResults (Id DECIMAL, ReviewTaskId DECIMAL, ReviewTaskResultTypeId DECIMAL, CreationDate TIME, RejectionReasonId DECIMAL, Comment TEXT)
CREATE TABLE SuggestedEdits (Id DECIMAL, PostId DECIMAL, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId DECIMAL, Comment TEXT, Text TEXT, Title TEXT, Tags TEXT, RevisionGUID other)
CREATE TABLE PostsWithDeleted (Id DECIMAL, PostTypeId DECIMAL, AcceptedAnswerId DECIMAL, ParentId DECIMAL, CreationDate TIME, DeletionDate TIME, Score DECIMAL, ViewCount DECIMAL, Body TEXT, OwnerUserId DECIMAL, OwnerDisplayName TEXT, LastEditorUserId DECIMAL, LastEditorDisplayName TEXT, LastEditDate TIME, LastActivityDate TIME, Title TEXT, Tags TEXT, AnswerCount DECIMAL, CommentCount DECIMAL, FavoriteCount DECIMAL, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense TEXT)
CREATE TABLE TagSynonyms (Id DECIMAL, SourceTagName TEXT, TargetTagName TEXT, CreationDate TIME, OwnerUserId DECIMAL, AutoRenameCount DECIMAL, LastAutoRename TIME, Score DECIMAL, ApprovedByUserId DECIMAL, ApprovalDate TIME)
CREATE TABLE PostTypes (Id DECIMAL, Name TEXT)
CREATE TABLE PendingFlags (Id DECIMAL, FlagTypeId DECIMAL, PostId DECIMAL, CreationDate TIME, CloseReasonTypeId DECIMAL, CloseAsOffTopicReasonTypeId DECIMAL, DuplicateOfQuestionId DECIMAL, BelongsOnBaseHostAddress TEXT)
CREATE TABLE SuggestedEditVotes (Id DECIMAL, SuggestedEditId DECIMAL, UserId DECIMAL, VoteTypeId DECIMAL, CreationDate TIME, TargetUserId DECIMAL, TargetRepChange DECIMAL)
CREATE TABLE CloseReasonTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE FlagTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE VoteTypes (Id DECIMAL, Name TEXT)
CREATE TABLE PostHistoryTypes (Id DECIMAL, Name TEXT)
CREATE TABLE ReviewTaskResultTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE ReviewRejectionReasons (Id DECIMAL, Name TEXT, Description TEXT, PostTypeId DECIMAL)
CREATE TABLE Comments (Id DECIMAL, PostId DECIMAL, Score DECIMAL, Text TEXT, CreationDate TIME, UserDisplayName TEXT, UserId DECIMAL, ContentLicense TEXT)
CREATE TABLE Badges (Id DECIMAL, UserId DECIMAL, Name TEXT, Date TIME, Class DECIMAL, TagBased BOOLEAN)
CREATE TABLE ReviewTaskTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE Posts (Id DECIMAL, PostTypeId DECIMAL, AcceptedAnswerId DECIMAL, ParentId DECIMAL, CreationDate TIME, DeletionDate TIME, Score DECIMAL, ViewCount DECIMAL, Body TEXT, OwnerUserId DECIMAL, OwnerDisplayName TEXT, LastEditorUserId DECIMAL, LastEditorDisplayName TEXT, LastEditDate TIME, LastActivityDate TIME, Title TEXT, Tags TEXT, AnswerCount DECIMAL, CommentCount DECIMAL, FavoriteCount DECIMAL, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense TEXT)
CREATE TABLE ReviewTasks (Id DECIMAL, ReviewTaskTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId DECIMAL, PostId DECIMAL, SuggestedEditId DECIMAL, CompletedByReviewTaskId DECIMAL)
CREATE TABLE PostNotices (Id DECIMAL, PostId DECIMAL, PostNoticeTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body TEXT, OwnerUserId DECIMAL, DeletionUserId DECIMAL)
CREATE TABLE ReviewTaskStates (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE Tags (Id DECIMAL, TagName TEXT, Count DECIMAL, ExcerptPostId DECIMAL, WikiPostId DECIMAL)
CREATE TABLE Users (Id DECIMAL, Reputation DECIMAL, CreationDate TIME, DisplayName TEXT, LastAccessDate TIME, WebsiteUrl TEXT, Location TEXT, AboutMe TEXT, Views DECIMAL, UpVotes DECIMAL, DownVotes DECIMAL, ProfileImageUrl TEXT, EmailHash TEXT, AccountId DECIMAL)
CREATE TABLE Votes (Id DECIMAL, PostId DECIMAL, VoteTypeId DECIMAL, UserId DECIMAL, CreationDate TIME, BountyAmount DECIMAL)
CREATE TABLE PostNoticeTypes (Id DECIMAL, ClassId DECIMAL, Name TEXT, Body TEXT, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId DECIMAL)
CREATE TABLE PostHistory (Id DECIMAL, PostHistoryTypeId DECIMAL, PostId DECIMAL, RevisionGUID other, CreationDate TIME, UserId DECIMAL, UserDisplayName TEXT, Comment TEXT, Text TEXT, ContentLicense TEXT)
| Hidden gems: Lowest viewed questions with score 5 or higher. | SELECT Posts.Id AS "post_link", Posts.OwnerUserId AS "user_link", Score, ViewCount, Score * 1000 / ViewCount AS "Score per Thousand Views" FROM Posts WHERE Score >= 5 AND PostTypeId = 1 ORDER BY ViewCount LIMIT 1000 | SELECT "Posts"."Id" AS "post_link", "Posts"."OwnerUserId" AS "user_link", "Score", "ViewCount", "Score" * 1000 / NULLIF("ViewCount", 0) AS "Score per Thousand Views" FROM "Posts" WHERE "PostTypeId" = 1 AND "Score" >= 5 ORDER BY "ViewCount" NULLS FIRST LIMIT 1000 | 0.255859 |
CREATE TABLE table_50529 ("Year" TEXT, "Winner" TEXT, "Runner-up" TEXT, "Score" TEXT, "Venue" TEXT)
| When is the winner panathinaikos, the runner-up olympiacos and the venue nikos goumas stadium? | SELECT "Year" FROM table_50529 WHERE "Winner" = 'panathinaikos' AND "Runner-up" = 'olympiacos' AND "Venue" = 'nikos goumas stadium' | SELECT "Year" FROM "table_50529" WHERE "Runner-up" = 'olympiacos' AND "Venue" = 'nikos goumas stadium' AND "Winner" = 'panathinaikos' | 0.129883 |
CREATE TABLE table_19316 ("Team" TEXT, "Average" TEXT, "Points" FLOAT, "Played" FLOAT, "1991-92" TEXT, "1992-93" TEXT, "1993-94" FLOAT)
| Name the team for average 1.026 for 1991-92 being 40 | SELECT "Team" FROM table_19316 WHERE "Average" = '1.026' AND "1991-92" = '40' | SELECT "Team" FROM "table_19316" WHERE "1991-92" = '40' AND "Average" = '1.026' | 0.077148 |
CREATE TABLE table_11011 ("Episode #" TEXT, "Title" TEXT, "Directed by" TEXT, "Written by" TEXT, "Original airdate" TEXT)
| What is the episode number of the episode titled 'Threshold of Pain'? | SELECT "Episode #" FROM table_11011 WHERE "Title" = 'threshold of pain' | SELECT "Episode #" FROM "table_11011" WHERE "Title" = 'threshold of pain' | 0.071289 |
CREATE TABLE Has_Allergy (StuID INT, Allergy VARCHAR)
CREATE TABLE Student (StuID INT, LName VARCHAR, Fname VARCHAR, Age INT, Sex VARCHAR, Major INT, Advisor INT, city_code VARCHAR)
CREATE TABLE Allergy_Type (Allergy VARCHAR, AllergyType VARCHAR)
| What are the last names and ages of the students who are allergic to milk and cat? Plot them as bar chart, I want to display LName in ascending order. | SELECT LName, Age FROM Student WHERE StuID IN (SELECT StuID FROM Has_Allergy WHERE Allergy = "Milk" INTERSECT SELECT StuID FROM Has_Allergy WHERE Allergy = "Cat") ORDER BY LName | SELECT "LName", "Age" FROM "Student" WHERE "StuID" IN (SELECT "StuID" FROM "Has_Allergy" WHERE "Allergy" = "Milk" INTERSECT SELECT "StuID" FROM "Has_Allergy" WHERE "Allergy" = "Cat") ORDER BY "LName" NULLS FIRST | 0.206055 |
CREATE TABLE table_77020 ("Player" TEXT, "Nationality" TEXT, "Position" TEXT, "Years for Grizzlies" TEXT, "School/Club Team" TEXT)
| Which Player has position of power forward and School/Club Team of Depaul? | SELECT "Player" FROM table_77020 WHERE "Position" = 'power forward' AND "School/Club Team" = 'depaul' | SELECT "Player" FROM "table_77020" WHERE "Position" = 'power forward' AND "School/Club Team" = 'depaul' | 0.100586 |
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
| what is the number of patients whose days of hospital stay is greater than 4 and diagnoses icd9 code is 45821? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.days_stay > "4" AND diagnoses.icd9_code = "45821" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "45821" = "diagnoses"."icd9_code" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" WHERE "4" < "demographic"."days_stay" | 0.207031 |
CREATE TABLE Ref_Characteristic_Types (characteristic_type_code VARCHAR, characteristic_type_description VARCHAR)
CREATE TABLE Products (product_id INT, color_code VARCHAR, product_category_code VARCHAR, product_name VARCHAR, typical_buying_price VARCHAR, typical_selling_price VARCHAR, product_description VARCHAR, other_product_details VARCHAR)
CREATE TABLE Product_Characteristics (product_id INT, characteristic_id INT, product_characteristic_value VARCHAR)
CREATE TABLE Characteristics (characteristic_id INT, characteristic_type_code VARCHAR, characteristic_data_type VARCHAR, characteristic_name VARCHAR, other_characteristic_details VARCHAR)
CREATE TABLE Ref_Colors (color_code VARCHAR, color_description VARCHAR)
CREATE TABLE Ref_Product_Categories (product_category_code VARCHAR, product_category_description VARCHAR, unit_of_measure VARCHAR)
| A bar chart for what are the number of the descriptions of the categories that products with product descriptions that contain the letter t are in?, and rank y-axis in ascending order. | SELECT product_category_description, COUNT(product_category_description) FROM Ref_Product_Categories AS T1 JOIN Products AS T2 ON T1.product_category_code = T2.product_category_code WHERE T2.product_description LIKE '%t%' GROUP BY product_category_description ORDER BY COUNT(product_category_description) | SELECT "product_category_description", COUNT("product_category_description") FROM "Ref_Product_Categories" AS "T1" JOIN "Products" AS "T2" ON "T1"."product_category_code" = "T2"."product_category_code" AND "T2"."product_description" LIKE '%t%' GROUP BY "product_category_description" ORDER BY COUNT("product_category_description") NULLS FIRST | 0.333984 |
CREATE TABLE table_name_96 (bronze INT, gold VARCHAR, silver VARCHAR)
| What is the average number of bronze of the nation with more than 1 gold and 1 silver medal? | SELECT AVG(bronze) FROM table_name_96 WHERE gold > 1 AND silver = 1 | SELECT AVG("bronze") FROM "table_name_96" WHERE "gold" > 1 AND "silver" = 1 | 0.073242 |
CREATE TABLE table_38185 ("Game" TEXT, "Date" TEXT, "Home Team" TEXT, "Result" TEXT, "Road Team" TEXT)
| what game was on may 24 | SELECT "Game" FROM table_38185 WHERE "Date" = 'may 24' | SELECT "Game" FROM "table_38185" WHERE "Date" = 'may 24' | 0.054688 |
CREATE TABLE d_labitems (row_id DECIMAL, itemid DECIMAL, label TEXT)
CREATE TABLE microbiologyevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, charttime TIME, spec_type_desc TEXT, org_name TEXT)
CREATE TABLE cost (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, event_type TEXT, event_id DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE d_icd_diagnoses (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE admissions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, admittime TIME, dischtime TIME, admission_type TEXT, admission_location TEXT, discharge_location TEXT, insurance TEXT, language TEXT, marital_status TEXT, ethnicity TEXT, age DECIMAL)
CREATE TABLE transfers (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, eventtype TEXT, careunit TEXT, wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE d_items (row_id DECIMAL, itemid DECIMAL, label TEXT, linksto TEXT)
CREATE TABLE outputevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, value DECIMAL)
CREATE TABLE chartevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE patients (row_id DECIMAL, subject_id DECIMAL, gender TEXT, dob TIME, dod TIME)
CREATE TABLE procedures_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE prescriptions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, startdate TIME, enddate TIME, drug TEXT, dose_val_rx TEXT, dose_unit_rx TEXT, route TEXT)
CREATE TABLE inputevents_cv (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, amount DECIMAL)
CREATE TABLE d_icd_procedures (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE labevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE icustays (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, first_careunit TEXT, last_careunit TEXT, first_wardid DECIMAL, last_wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE diagnoses_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
| when is the last time patient 24921 has had tpn d11.0 on 09/20/last year? | SELECT inputevents_cv.charttime FROM inputevents_cv WHERE inputevents_cv.icustay_id IN (SELECT icustays.icustay_id FROM icustays WHERE icustays.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 24921)) AND inputevents_cv.itemid IN (SELECT d_items.itemid FROM d_items WHERE d_items.label = 'tpn d11.0' AND d_items.linksto = 'inputevents_cv') AND DATETIME(inputevents_cv.charttime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year') AND STRFTIME('%m-%d', inputevents_cv.charttime) = '09-20' ORDER BY inputevents_cv.charttime DESC LIMIT 1 | WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 24921 GROUP BY "hadm_id"), "_u_1" AS (SELECT "icustays"."icustay_id" FROM "icustays" LEFT JOIN "_u_0" AS "_u_0" ON "_u_0"."" = "icustays"."hadm_id" WHERE NOT "_u_0"."" IS NULL GROUP BY "icustay_id"), "_u_2" AS (SELECT "d_items"."itemid" FROM "d_items" WHERE "d_items"."label" = 'tpn d11.0' AND "d_items"."linksto" = 'inputevents_cv' GROUP BY "itemid") SELECT "inputevents_cv"."charttime" FROM "inputevents_cv" LEFT JOIN "_u_1" AS "_u_1" ON "_u_1"."" = "inputevents_cv"."icustay_id" LEFT JOIN "_u_2" AS "_u_2" ON "_u_2"."" = "inputevents_cv"."itemid" WHERE DATETIME("inputevents_cv"."charttime", 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year') AND NOT "_u_1"."" IS NULL AND NOT "_u_2"."" IS NULL AND STRFTIME('%m-%d', "inputevents_cv"."charttime") = '09-20' ORDER BY "inputevents_cv"."charttime" DESC NULLS LAST LIMIT 1 | 0.917969 |
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
| what is marital status and age of subject id 76446? | SELECT demographic.marital_status, demographic.age FROM demographic WHERE demographic.subject_id = "76446" | SELECT "demographic"."marital_status", "demographic"."age" FROM "demographic" WHERE "76446" = "demographic"."subject_id" | 0.117188 |
CREATE TABLE table_20887670_1 (affiliation VARCHAR, mascot VARCHAR)
| what is the affiliation of the hilltoppers mascot? | SELECT affiliation FROM table_20887670_1 WHERE mascot = "Hilltoppers" | SELECT "affiliation" FROM "table_20887670_1" WHERE "Hilltoppers" = "mascot" | 0.073242 |
CREATE TABLE table_13833770_3 (status VARCHAR, incumbent VARCHAR)
| what's the status with incumbent being eliot engel | SELECT status FROM table_13833770_3 WHERE incumbent = "Eliot Engel" | SELECT "status" FROM "table_13833770_3" WHERE "Eliot Engel" = "incumbent" | 0.071289 |
CREATE TABLE table_68313 ("Year" FLOAT, "Class" TEXT, "Tyres" TEXT, "Team" TEXT, "Co-Drivers" TEXT, "Laps" FLOAT, "Pos." TEXT, "Class Pos." TEXT)
| Name the average year with Laps of 6 | SELECT AVG("Year") FROM table_68313 WHERE "Laps" = '6' | SELECT AVG("Year") FROM "table_68313" WHERE "Laps" = '6' | 0.054688 |
CREATE TABLE table_6674 ("Mission" TEXT, "Resident Country" TEXT, "Local Location" TEXT, "Local Mission" TEXT, "Local Position" TEXT)
| What is the mission that has ambassador of local position, and a resident country of democratic republic of congo? | SELECT "Mission" FROM table_6674 WHERE "Local Position" = 'ambassador' AND "Resident Country" = 'democratic republic of congo' | SELECT "Mission" FROM "table_6674" WHERE "Local Position" = 'ambassador' AND "Resident Country" = 'democratic republic of congo' | 0.125 |
CREATE TABLE table_29871 ("Game" FLOAT, "Date" TEXT, "Team" TEXT, "Score" TEXT, "High points" TEXT, "High rebounds" TEXT, "High assists" TEXT, "Location Attendance" TEXT, "Record" TEXT)
| List records for game 29. | SELECT "Record" FROM table_29871 WHERE "Game" = '29' | SELECT "Record" FROM "table_29871" WHERE "Game" = '29' | 0.052734 |
CREATE TABLE month (month_number INT, month_name TEXT)
CREATE TABLE flight_fare (flight_id INT, fare_id INT)
CREATE TABLE flight_leg (flight_id INT, leg_number INT, leg_flight INT)
CREATE TABLE time_zone (time_zone_code TEXT, time_zone_name TEXT, hours_from_gmt INT)
CREATE TABLE airline (airline_code VARCHAR, airline_name TEXT, note TEXT)
CREATE TABLE date_day (month_number INT, day_number INT, year INT, day_name VARCHAR)
CREATE TABLE time_interval (period TEXT, begin_time INT, end_time INT)
CREATE TABLE fare (fare_id INT, from_airport VARCHAR, to_airport VARCHAR, fare_basis_code TEXT, fare_airline TEXT, restriction_code TEXT, one_direction_cost INT, round_trip_cost INT, round_trip_required VARCHAR)
CREATE TABLE airport (airport_code VARCHAR, airport_name TEXT, airport_location TEXT, state_code VARCHAR, country_name VARCHAR, time_zone_code VARCHAR, minimum_connect_time INT)
CREATE TABLE flight (aircraft_code_sequence TEXT, airline_code VARCHAR, airline_flight TEXT, arrival_time INT, connections INT, departure_time INT, dual_carrier TEXT, flight_days TEXT, flight_id INT, flight_number INT, from_airport VARCHAR, meal_code TEXT, stops INT, time_elapsed INT, to_airport VARCHAR)
CREATE TABLE ground_service (city_code TEXT, airport_code TEXT, transport_type TEXT, ground_fare INT)
CREATE TABLE city (city_code VARCHAR, city_name VARCHAR, state_code VARCHAR, country_name VARCHAR, time_zone_code VARCHAR)
CREATE TABLE state (state_code TEXT, state_name TEXT, country_name TEXT)
CREATE TABLE compartment_class (compartment VARCHAR, class_type VARCHAR)
CREATE TABLE equipment_sequence (aircraft_code_sequence VARCHAR, aircraft_code VARCHAR)
CREATE TABLE code_description (code VARCHAR, description TEXT)
CREATE TABLE days (days_code VARCHAR, day_name VARCHAR)
CREATE TABLE airport_service (city_code VARCHAR, airport_code VARCHAR, miles_distant INT, direction VARCHAR, minutes_distant INT)
CREATE TABLE dual_carrier (main_airline VARCHAR, low_flight_number INT, high_flight_number INT, dual_airline VARCHAR, service_name TEXT)
CREATE TABLE food_service (meal_code TEXT, meal_number INT, compartment TEXT, meal_description VARCHAR)
CREATE TABLE restriction (restriction_code TEXT, advance_purchase INT, stopovers TEXT, saturday_stay_required TEXT, minimum_stay INT, maximum_stay INT, application TEXT, no_discounts TEXT)
CREATE TABLE aircraft (aircraft_code VARCHAR, aircraft_description VARCHAR, manufacturer VARCHAR, basic_type VARCHAR, engines INT, propulsion VARCHAR, wide_body VARCHAR, wing_span INT, length INT, weight INT, capacity INT, pay_load INT, cruising_speed INT, range_miles INT, pressurized VARCHAR)
CREATE TABLE flight_stop (flight_id INT, stop_number INT, stop_days TEXT, stop_airport TEXT, arrival_time INT, arrival_airline TEXT, arrival_flight_number INT, departure_time INT, departure_airline TEXT, departure_flight_number INT, stop_time INT)
CREATE TABLE class_of_service (booking_class VARCHAR, rank INT, class_description TEXT)
CREATE TABLE fare_basis (fare_basis_code TEXT, booking_class TEXT, class_type TEXT, premium TEXT, economy TEXT, discounted TEXT, night TEXT, season TEXT, basis_days TEXT)
| what is the lowest cost fare that DL has between BOSTON and SAN FRANCISCO | SELECT DISTINCT fare.fare_id FROM airport_service AS AIRPORT_SERVICE_0, airport_service AS AIRPORT_SERVICE_1, city AS CITY_0, city AS CITY_1, fare, flight, flight_fare WHERE (CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'BOSTON' AND CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'SAN FRANCISCO' AND flight.from_airport = AIRPORT_SERVICE_0.airport_code AND flight.to_airport = AIRPORT_SERVICE_1.airport_code) AND fare.one_direction_cost = (SELECT MIN(FAREalias1.one_direction_cost) FROM airport_service AS AIRPORT_SERVICEalias2, airport_service AS AIRPORT_SERVICEalias3, city AS CITYalias2, city AS CITYalias3, fare AS FAREalias1, flight AS FLIGHTalias1, flight_fare AS FLIGHT_FAREalias1 WHERE (CITYalias2.city_code = AIRPORT_SERVICEalias2.city_code AND CITYalias2.city_name = 'BOSTON' AND CITYalias3.city_code = AIRPORT_SERVICEalias3.city_code AND CITYalias3.city_name = 'SAN FRANCISCO' AND FLIGHTalias1.from_airport = AIRPORT_SERVICEalias2.airport_code AND FLIGHTalias1.to_airport = AIRPORT_SERVICEalias3.airport_code) AND FLIGHT_FAREalias1.fare_id = FAREalias1.fare_id AND FLIGHTalias1.airline_code = 'DL' AND FLIGHTalias1.flight_id = FLIGHT_FAREalias1.flight_id) AND flight_fare.fare_id = fare.fare_id AND flight.airline_code = 'DL' AND flight.flight_id = flight_fare.flight_id | WITH "_u_0" AS (SELECT MIN("FAREalias1"."one_direction_cost") FROM "airport_service" AS "AIRPORT_SERVICEalias2" JOIN "city" AS "CITYalias2" ON "AIRPORT_SERVICEalias2"."city_code" = "CITYalias2"."city_code" AND "CITYalias2"."city_name" = 'BOSTON' JOIN "flight" AS "FLIGHTalias1" ON "AIRPORT_SERVICEalias2"."airport_code" = "FLIGHTalias1"."from_airport" AND "FLIGHTalias1"."airline_code" = 'DL' JOIN "airport_service" AS "AIRPORT_SERVICEalias3" ON "AIRPORT_SERVICEalias3"."airport_code" = "FLIGHTalias1"."to_airport" JOIN "flight_fare" AS "FLIGHT_FAREalias1" ON "FLIGHT_FAREalias1"."flight_id" = "FLIGHTalias1"."flight_id" JOIN "city" AS "CITYalias3" ON "AIRPORT_SERVICEalias3"."city_code" = "CITYalias3"."city_code" AND "CITYalias3"."city_name" = 'SAN FRANCISCO' JOIN "fare" AS "FAREalias1" ON "FAREalias1"."fare_id" = "FLIGHT_FAREalias1"."fare_id") SELECT DISTINCT "fare"."fare_id" FROM "airport_service" AS "AIRPORT_SERVICE_0" JOIN "city" AS "CITY_0" ON "AIRPORT_SERVICE_0"."city_code" = "CITY_0"."city_code" AND "CITY_0"."city_name" = 'BOSTON' JOIN "flight" ON "AIRPORT_SERVICE_0"."airport_code" = "flight"."from_airport" AND "flight"."airline_code" = 'DL' JOIN "airport_service" AS "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" AS "CITY_1" ON "AIRPORT_SERVICE_1"."city_code" = "CITY_1"."city_code" AND "CITY_1"."city_name" = 'SAN FRANCISCO' JOIN "fare" ON "fare"."fare_id" = "flight_fare"."fare_id" JOIN "_u_0" AS "_u_0" ON "_u_0"."" = "fare"."one_direction_cost" | 1.547852 |
CREATE TABLE table_name_69 (score VARCHAR, year VARCHAR)
| What is the score for 2004? | SELECT score FROM table_name_69 WHERE year = 2004 | SELECT "score" FROM "table_name_69" WHERE "year" = 2004 | 0.053711 |
CREATE TABLE d_items (row_id DECIMAL, itemid DECIMAL, label TEXT, linksto TEXT)
CREATE TABLE d_icd_diagnoses (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE admissions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, admittime TIME, dischtime TIME, admission_type TEXT, admission_location TEXT, discharge_location TEXT, insurance TEXT, language TEXT, marital_status TEXT, ethnicity TEXT, age DECIMAL)
CREATE TABLE transfers (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, eventtype TEXT, careunit TEXT, wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE outputevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, value DECIMAL)
CREATE TABLE labevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE inputevents_cv (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, amount DECIMAL)
CREATE TABLE patients (row_id DECIMAL, subject_id DECIMAL, gender TEXT, dob TIME, dod TIME)
CREATE TABLE diagnoses_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE cost (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, event_type TEXT, event_id DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE d_labitems (row_id DECIMAL, itemid DECIMAL, label TEXT)
CREATE TABLE microbiologyevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, charttime TIME, spec_type_desc TEXT, org_name TEXT)
CREATE TABLE prescriptions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, startdate TIME, enddate TIME, drug TEXT, dose_val_rx TEXT, dose_unit_rx TEXT, route TEXT)
CREATE TABLE icustays (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, first_careunit TEXT, last_careunit TEXT, first_wardid DECIMAL, last_wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE d_icd_procedures (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE procedures_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE chartevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
| has patient 80858 made to an admission until 2104? | SELECT COUNT(*) > 0 FROM admissions WHERE admissions.subject_id = 80858 AND STRFTIME('%y', admissions.admittime) <= '2104' | SELECT COUNT(*) > 0 FROM "admissions" WHERE "admissions"."subject_id" = 80858 AND STRFTIME('%y', "admissions"."admittime") <= '2104' | 0.128906 |
CREATE TABLE microlab (microlabid DECIMAL, patientunitstayid DECIMAL, culturesite TEXT, organism TEXT, culturetakentime TIME)
CREATE TABLE vitalperiodic (vitalperiodicid DECIMAL, patientunitstayid DECIMAL, temperature DECIMAL, sao2 DECIMAL, heartrate DECIMAL, respiration DECIMAL, systemicsystolic DECIMAL, systemicdiastolic DECIMAL, systemicmean DECIMAL, observationtime TIME)
CREATE TABLE medication (medicationid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, dosage TEXT, routeadmin TEXT, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE diagnosis (diagnosisid DECIMAL, patientunitstayid DECIMAL, diagnosisname TEXT, diagnosistime TIME, icd9code TEXT)
CREATE TABLE intakeoutput (intakeoutputid DECIMAL, patientunitstayid DECIMAL, cellpath TEXT, celllabel TEXT, cellvaluenumeric DECIMAL, intakeoutputtime TIME)
CREATE TABLE treatment (treatmentid DECIMAL, patientunitstayid DECIMAL, treatmentname TEXT, treatmenttime TIME)
CREATE TABLE allergy (allergyid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, allergyname TEXT, allergytime TIME)
CREATE TABLE patient (uniquepid TEXT, patienthealthsystemstayid DECIMAL, patientunitstayid DECIMAL, gender TEXT, age TEXT, ethnicity TEXT, hospitalid DECIMAL, wardid DECIMAL, admissionheight DECIMAL, admissionweight DECIMAL, dischargeweight DECIMAL, hospitaladmittime TIME, hospitaladmitsource TEXT, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus TEXT)
CREATE TABLE cost (costid DECIMAL, uniquepid TEXT, patienthealthsystemstayid DECIMAL, eventtype TEXT, eventid DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE lab (labid DECIMAL, patientunitstayid DECIMAL, labname TEXT, labresult DECIMAL, labresulttime TIME)
| what drugs were first prescribed to patient 007-9853 since 108 months ago via the intralumin route? | SELECT medication.drugname FROM medication WHERE medication.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '007-9853')) AND medication.routeadmin = 'intralumin' AND DATETIME(medication.drugstarttime) >= DATETIME(CURRENT_TIME(), '-108 month') ORDER BY medication.drugstarttime LIMIT 1 | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '007-9853' GROUP BY "patienthealthsystemstayid"), "_u_1" AS (SELECT "patient"."patientunitstayid" FROM "patient" LEFT JOIN "_u_0" AS "_u_0" ON "_u_0"."" = "patient"."patienthealthsystemstayid" WHERE NOT "_u_0"."" IS NULL GROUP BY "patientunitstayid") SELECT "medication"."drugname" FROM "medication" LEFT JOIN "_u_1" AS "_u_1" ON "_u_1"."" = "medication"."patientunitstayid" WHERE "medication"."routeadmin" = 'intralumin' AND DATETIME("medication"."drugstarttime") >= DATETIME(CURRENT_TIME(), '-108 month') AND NOT "_u_1"."" IS NULL ORDER BY "medication"."drugstarttime" NULLS FIRST LIMIT 1 | 0.679688 |
CREATE TABLE table_71640 ("Year" FLOAT, "Team" TEXT, "Co-Drivers" TEXT, "Class" TEXT, "Laps" FLOAT, "Pos." TEXT, "Class Pos." TEXT)
| What was the class when there were 325 laps? | SELECT "Class" FROM table_71640 WHERE "Laps" = '325' | SELECT "Class" FROM "table_71640" WHERE "Laps" = '325' | 0.052734 |
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
| count the number of patients whose diagnoses icd9 code is 45620 and lab test fluid is blood? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE diagnoses.icd9_code = "45620" AND lab.fluid = "Blood" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "45620" = "diagnoses"."icd9_code" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" JOIN "lab" ON "Blood" = "lab"."fluid" AND "demographic"."hadm_id" = "lab"."hadm_id" | 0.251953 |
CREATE TABLE team (team_id_br VARCHAR, name VARCHAR)
CREATE TABLE salary (salary INT, team_id VARCHAR, year VARCHAR)
| What is the total salary paid by team Boston Red Stockings in 2010? | SELECT SUM(T1.salary) FROM salary AS T1 JOIN team AS T2 ON T1.team_id = T2.team_id_br WHERE T2.name = 'Boston Red Stockings' AND T1.year = 2010 | SELECT SUM("T1"."salary") FROM "salary" AS "T1" JOIN "team" AS "T2" ON "T1"."team_id" = "T2"."team_id_br" AND "T2"."name" = 'Boston Red Stockings' WHERE "T1"."year" = 2010 | 0.166992 |
CREATE TABLE table_name_35 (score VARCHAR, opponent VARCHAR, record VARCHAR)
| What is Score, when Opponent is Portland Trail Blazers, and when Record is 12-58? | SELECT score FROM table_name_35 WHERE opponent = "portland trail blazers" AND record = "12-58" | SELECT "score" FROM "table_name_35" WHERE "12-58" = "record" AND "opponent" = "portland trail blazers" | 0.099609 |
CREATE TABLE table_name_36 (attendance VARCHAR, date VARCHAR)
| What is the Attendance of the game September 21, 2003? | SELECT attendance FROM table_name_36 WHERE date = "september 21, 2003" | SELECT "attendance" FROM "table_name_36" WHERE "date" = "september 21, 2003" | 0.074219 |
CREATE TABLE aircraft (aid DECIMAL, name TEXT, distance DECIMAL)
CREATE TABLE flight (flno DECIMAL, origin TEXT, destination TEXT, distance DECIMAL, departure_date TIME, arrival_date TIME, price DECIMAL, aid DECIMAL)
CREATE TABLE employee (eid DECIMAL, name TEXT, salary DECIMAL)
CREATE TABLE certificate (eid DECIMAL, aid DECIMAL)
| What are the departure and arrival dates of all flights from LA to Honolulu? | SELECT departure_date, arrival_date FROM flight WHERE origin = "Los Angeles" AND destination = "Honolulu" | SELECT "departure_date", "arrival_date" FROM "flight" WHERE "Honolulu" = "destination" AND "Los Angeles" = "origin" | 0.112305 |
CREATE TABLE table_name_13 (mascot VARCHAR, previous_conference VARCHAR, location VARCHAR)
| What is the Mascot for the team from leo that had a Previous Conference value of independent? | SELECT mascot FROM table_name_13 WHERE previous_conference = "independent" AND location = "leo" | SELECT "mascot" FROM "table_name_13" WHERE "independent" = "previous_conference" AND "leo" = "location" | 0.100586 |
CREATE TABLE station (station_id DECIMAL, name TEXT, annual_entry_exit DECIMAL, annual_interchanges DECIMAL, total_passengers DECIMAL, location TEXT, main_services TEXT, number_of_platforms DECIMAL)
CREATE TABLE train (train_id DECIMAL, name TEXT, time TEXT, service TEXT)
CREATE TABLE train_station (train_id DECIMAL, station_id DECIMAL)
| Show the station name with at least two trains. | SELECT T2.name FROM train_station AS T1 JOIN station AS T2 ON T1.station_id = T2.station_id GROUP BY T1.station_id HAVING COUNT(*) >= 2 | SELECT "T2"."name" FROM "train_station" AS "T1" JOIN "station" AS "T2" ON "T1"."station_id" = "T2"."station_id" GROUP BY "T1"."station_id" HAVING COUNT(*) >= 2 | 0.155273 |
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
| give me the number of patients whose ethnicity is white - russian and procedure long title is radical cystectomy? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.ethnicity = "WHITE - RUSSIAN" AND procedures.long_title = "Radical cystectomy" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "procedures" ON "Radical cystectomy" = "procedures"."long_title" AND "demographic"."hadm_id" = "procedures"."hadm_id" WHERE "WHITE - RUSSIAN" = "demographic"."ethnicity" | 0.237305 |
CREATE TABLE table_name_41 (total INT, bronze VARCHAR, silver VARCHAR)
| What is the total for the team with 0 bronze and 3 silver? | SELECT SUM(total) FROM table_name_41 WHERE bronze = 0 AND silver = 3 | SELECT SUM("total") FROM "table_name_41" WHERE "bronze" = 0 AND "silver" = 3 | 0.074219 |
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
| How many of the patients admitted to trsf within this facility were born before the year 2137? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.admission_location = "TRSF WITHIN THIS FACILITY" AND demographic.dob_year < "2137" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "2137" > "demographic"."dob_year" AND "TRSF WITHIN THIS FACILITY" = "demographic"."admission_location" | 0.172852 |
CREATE TABLE inputevents_cv (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, amount DECIMAL)
CREATE TABLE procedures_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE prescriptions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, startdate TIME, enddate TIME, drug TEXT, dose_val_rx TEXT, dose_unit_rx TEXT, route TEXT)
CREATE TABLE cost (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, event_type TEXT, event_id DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE d_icd_diagnoses (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE chartevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE diagnoses_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE icustays (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, first_careunit TEXT, last_careunit TEXT, first_wardid DECIMAL, last_wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE transfers (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, eventtype TEXT, careunit TEXT, wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE d_labitems (row_id DECIMAL, itemid DECIMAL, label TEXT)
CREATE TABLE patients (row_id DECIMAL, subject_id DECIMAL, gender TEXT, dob TIME, dod TIME)
CREATE TABLE labevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE microbiologyevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, charttime TIME, spec_type_desc TEXT, org_name TEXT)
CREATE TABLE d_items (row_id DECIMAL, itemid DECIMAL, label TEXT, linksto TEXT)
CREATE TABLE admissions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, admittime TIME, dischtime TIME, admission_type TEXT, admission_location TEXT, discharge_location TEXT, insurance TEXT, language TEXT, marital_status TEXT, ethnicity TEXT, age DECIMAL)
CREATE TABLE outputevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, value DECIMAL)
CREATE TABLE d_icd_procedures (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
| what were the five most frequently prescribed drugs at the same time in this year among patients who were prescribed dextromethorphan-guaifenesin (sugar free)? | 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 = 'dextromethorphan-guaifenesin (sugar free)' AND DATETIME(prescriptions.startdate, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-0 year')) AS t1 JOIN (SELECT admissions.subject_id, prescriptions.drug, prescriptions.startdate FROM prescriptions JOIN admissions ON prescriptions.hadm_id = admissions.hadm_id WHERE DATETIME(prescriptions.startdate, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-0 year')) 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 <= 5 | WITH "t2" AS (SELECT "admissions"."subject_id", "prescriptions"."drug", "prescriptions"."startdate" FROM "prescriptions" JOIN "admissions" ON "admissions"."hadm_id" = "prescriptions"."hadm_id" WHERE DATETIME("prescriptions"."startdate", 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-0 year')), "t3" AS (SELECT "t2"."drug", DENSE_RANK() OVER (ORDER BY COUNT(*) DESC NULLS LAST) AS "c1" FROM "prescriptions" JOIN "admissions" ON "admissions"."hadm_id" = "prescriptions"."hadm_id" JOIN "t2" AS "t2" ON "admissions"."subject_id" = "t2"."subject_id" AND DATETIME("prescriptions"."startdate") = DATETIME("t2"."startdate") WHERE "prescriptions"."drug" = 'dextromethorphan-guaifenesin (sugar free)' AND DATETIME("prescriptions"."startdate", 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-0 year') GROUP BY "t2"."drug") SELECT "t3"."drug" FROM "t3" AS "t3" WHERE "t3"."c1" <= 5 | 0.879883 |
CREATE TABLE table_name_54 (rank INT, gold VARCHAR, bronze VARCHAR, silver VARCHAR)
| Name the most rank with bronze of 0 and silver more than 1 and gold more than 0 | SELECT MAX(rank) FROM table_name_54 WHERE bronze = 0 AND silver > 1 AND gold > 0 | SELECT MAX("rank") FROM "table_name_54" WHERE "bronze" = 0 AND "gold" > 0 AND "silver" > 1 | 0.087891 |
CREATE TABLE table_46674 ("Place" TEXT, "Player" TEXT, "Country" TEXT, "Score" TEXT, "To par" TEXT, "Money ( $ ) " FLOAT)
| What did vijay singh score with a +5 to par? | SELECT "Score" FROM table_46674 WHERE "To par" = '+5' AND "Player" = 'vijay singh' | SELECT "Score" FROM "table_46674" WHERE "Player" = 'vijay singh' AND "To par" = '+5' | 0.082031 |
CREATE TABLE table_name_7 (_number_of_bids INT, win__percentage VARCHAR, conference VARCHAR)
| How many bids were there for the .500 win percentage in the Ohio Valley conference? | SELECT SUM(_number_of_bids) FROM table_name_7 WHERE win__percentage = ".500" AND conference = "ohio valley" | SELECT SUM("_number_of_bids") FROM "table_name_7" WHERE ".500" = "win__percentage" AND "conference" = "ohio valley" | 0.112305 |
CREATE TABLE allergy (allergyid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, allergyname TEXT, allergytime TIME)
CREATE TABLE vitalperiodic (vitalperiodicid DECIMAL, patientunitstayid DECIMAL, temperature DECIMAL, sao2 DECIMAL, heartrate DECIMAL, respiration DECIMAL, systemicsystolic DECIMAL, systemicdiastolic DECIMAL, systemicmean DECIMAL, observationtime TIME)
CREATE TABLE treatment (treatmentid DECIMAL, patientunitstayid DECIMAL, treatmentname TEXT, treatmenttime TIME)
CREATE TABLE diagnosis (diagnosisid DECIMAL, patientunitstayid DECIMAL, diagnosisname TEXT, diagnosistime TIME, icd9code TEXT)
CREATE TABLE cost (costid DECIMAL, uniquepid TEXT, patienthealthsystemstayid DECIMAL, eventtype TEXT, eventid DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE patient (uniquepid TEXT, patienthealthsystemstayid DECIMAL, patientunitstayid DECIMAL, gender TEXT, age TEXT, ethnicity TEXT, hospitalid DECIMAL, wardid DECIMAL, admissionheight DECIMAL, admissionweight DECIMAL, dischargeweight DECIMAL, hospitaladmittime TIME, hospitaladmitsource TEXT, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus TEXT)
CREATE TABLE microlab (microlabid DECIMAL, patientunitstayid DECIMAL, culturesite TEXT, organism TEXT, culturetakentime TIME)
CREATE TABLE medication (medicationid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, dosage TEXT, routeadmin TEXT, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE intakeoutput (intakeoutputid DECIMAL, patientunitstayid DECIMAL, cellpath TEXT, celllabel TEXT, cellvaluenumeric DECIMAL, intakeoutputtime TIME)
CREATE TABLE lab (labid DECIMAL, patientunitstayid DECIMAL, labname TEXT, labresult DECIMAL, labresulttime TIME)
| patient 005-87465 got any sort of diagnosis during their current hospital encounter? | SELECT COUNT(*) > 0 FROM diagnosis WHERE diagnosis.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '005-87465' AND patient.hospitaldischargetime IS NULL)) | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."hospitaldischargetime" IS NULL AND "patient"."uniquepid" = '005-87465' GROUP BY "patienthealthsystemstayid"), "_u_1" AS (SELECT "patient"."patientunitstayid" FROM "patient" LEFT JOIN "_u_0" AS "_u_0" ON "_u_0"."" = "patient"."patienthealthsystemstayid" WHERE NOT "_u_0"."" IS NULL GROUP BY "patientunitstayid") SELECT COUNT(*) > 0 FROM "diagnosis" LEFT JOIN "_u_1" AS "_u_1" ON "_u_1"."" = "diagnosis"."patientunitstayid" WHERE NOT "_u_1"."" IS NULL | 0.529297 |
CREATE TABLE table_67425 ("Representative" TEXT, "Title" TEXT, "Presentation of Credentials" TEXT, "Termination of Mission" TEXT, "Appointed by" TEXT)
| Name the title with presentation of credentials of april 10, 1907 | SELECT "Title" FROM table_67425 WHERE "Presentation of Credentials" = 'april 10, 1907' | SELECT "Title" FROM "table_67425" WHERE "Presentation of Credentials" = 'april 10, 1907' | 0.085938 |
CREATE TABLE table_50014 ("Tournament" TEXT, "Wins" FLOAT, "Top-10" FLOAT, "Top-25" FLOAT, "Events" FLOAT, "Cuts made" FLOAT)
| With wins greater than 0 what is the minimum Top-10? | SELECT MIN("Top-10") FROM table_50014 WHERE "Wins" > '0' | SELECT MIN("Top-10") FROM "table_50014" WHERE "Wins" > '0' | 0.056641 |
CREATE TABLE table_62685 ("Main contestant" TEXT, "Co-contestant ( Yaar vs. Pyaar ) " TEXT, "Date performed" TEXT, "Scores by each individual judge" TEXT, "Total score/week" TEXT, "Position" TEXT, "Status" TEXT)
| Who is the main contestant when the co-contestant (yaar vs. pyaar) is Shalini Chandran? | SELECT "Main contestant" FROM table_62685 WHERE "Co-contestant (Yaar vs. Pyaar)" = 'shalini chandran' | SELECT "Main contestant" FROM "table_62685" WHERE "Co-contestant (Yaar vs. Pyaar)" = 'shalini chandran' | 0.100586 |
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
| what is admission type and drug name of subject id 2560? | SELECT demographic.admission_type, prescriptions.drug FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.subject_id = "2560" | SELECT "demographic"."admission_type", "prescriptions"."drug" FROM "demographic" JOIN "prescriptions" ON "demographic"."hadm_id" = "prescriptions"."hadm_id" WHERE "2560" = "demographic"."subject_id" | 0.193359 |
CREATE TABLE table_44897 ("Team" TEXT, "Coach" TEXT, "Home Ground" TEXT, "Location" TEXT, "Founded" FLOAT)
| What is the average year that the club located in enfield was founded with an unknown coach? | SELECT AVG("Founded") FROM table_44897 WHERE "Coach" = 'unknown' AND "Location" = 'enfield' | SELECT AVG("Founded") FROM "table_44897" WHERE "Coach" = 'unknown' AND "Location" = 'enfield' | 0.09082 |
CREATE TABLE table_60085 ("Year" FLOAT, "Round" FLOAT, "Pick" FLOAT, "Overall" FLOAT, "Player name" TEXT, "Position" TEXT, "AFL team" TEXT)
| What is the smallest Pick with Overall larger than 17, a Player name of dave adams category:articles with hcards, and a Year larger than 1963? | SELECT MIN("Pick") FROM table_60085 WHERE "Overall" > '17' AND "Player name" = 'dave adams category:articles with hcards' AND "Year" > '1963' | SELECT MIN("Pick") FROM "table_60085" WHERE "Overall" > '17' AND "Player name" = 'dave adams category:articles with hcards' AND "Year" > '1963' | 0.139648 |
CREATE TABLE table_name_62 (total VARCHAR, set_2 VARCHAR, set_4 VARCHAR, score VARCHAR)
| What is the total of NA for set 4, a score of 3-0 and a 26-24 for set 2? | SELECT total FROM table_name_62 WHERE set_4 = "na" AND score = "3-0" AND set_2 = "26-24" | SELECT "total" FROM "table_name_62" WHERE "26-24" = "set_2" AND "3-0" = "score" AND "na" = "set_4" | 0.095703 |
CREATE TABLE Manufacturers (Code INT, Name VARCHAR, Headquarter VARCHAR, Founder VARCHAR, Revenue FLOAT)
CREATE TABLE Products (Code INT, Name VARCHAR, Price DECIMAL, Manufacturer INT)
| For those records from the products and each product's manufacturer, give me the comparison about the sum of revenue over the headquarter , and group by attribute headquarter, rank total number from low to high order. | SELECT Headquarter, SUM(Revenue) FROM Products AS T1 JOIN Manufacturers AS T2 ON T1.Manufacturer = T2.Code GROUP BY Headquarter ORDER BY SUM(Revenue) | SELECT "Headquarter", SUM("Revenue") FROM "Products" AS "T1" JOIN "Manufacturers" AS "T2" ON "T1"."Manufacturer" = "T2"."Code" GROUP BY "Headquarter" ORDER BY SUM("Revenue") NULLS FIRST | 0.180664 |
CREATE TABLE table_name_10 (jockey VARCHAR, winner VARCHAR)
| What is Jockey, when Winner is Alke? | SELECT jockey FROM table_name_10 WHERE winner = "alke" | SELECT "jockey" FROM "table_name_10" WHERE "alke" = "winner" | 0.058594 |
CREATE TABLE table_36251 ("Rank" FLOAT, "Name" TEXT, "Club" TEXT, "Nation" TEXT, "Points" FLOAT)
| What nation are carolina hermann / daniel hermann from? | SELECT "Nation" FROM table_36251 WHERE "Name" = 'carolina hermann / daniel hermann' | SELECT "Nation" FROM "table_36251" WHERE "Name" = 'carolina hermann / daniel hermann' | 0.083008 |
CREATE TABLE table_name_94 (artist VARCHAR, spoofed_title VARCHAR)
| Which artist has the Spoofed title Miscue 911? | SELECT artist FROM table_name_94 WHERE spoofed_title = "miscue 911" | SELECT "artist" FROM "table_name_94" WHERE "miscue 911" = "spoofed_title" | 0.071289 |
CREATE TABLE table_name_48 (date VARCHAR, game VARCHAR)
| What is Date, when Game is '8'? | SELECT date FROM table_name_48 WHERE game = 8 | SELECT "date" FROM "table_name_48" WHERE "game" = 8 | 0.049805 |
CREATE TABLE table_52437 ("Home team" TEXT, "Home team score" TEXT, "Away team" TEXT, "Away team score" TEXT, "Venue" TEXT, "Crowd" FLOAT, "Date" TEXT)
| Who is the home team who plays at Glenferrie Oval? | SELECT "Home team" FROM table_52437 WHERE "Venue" = 'glenferrie oval' | SELECT "Home team" FROM "table_52437" WHERE "Venue" = 'glenferrie oval' | 0.069336 |
CREATE TABLE table_51056 ("Channel" FLOAT, "Video" TEXT, "Aspect" TEXT, "PSIP Short Name" TEXT, "Programming" TEXT)
| What is the PSIP Short name for the Channel that is less than 51.6? | SELECT "PSIP Short Name" FROM table_51056 WHERE "Channel" < '51.6' | SELECT "PSIP Short Name" FROM "table_51056" WHERE "Channel" < '51.6' | 0.066406 |
CREATE TABLE table_203_183 (id DECIMAL, "season" TEXT, "tier" DECIMAL, "division" DECIMAL, "place" TEXT)
| what is the difference between the team ranking of the 1998-99 season and the 2003-04 season ? | SELECT (SELECT "place" FROM table_203_183 WHERE "season" = '1998/99') - (SELECT "place" FROM table_203_183 WHERE "season" = '2003/04') | SELECT (SELECT "place" FROM "table_203_183" WHERE "season" = '1998/99') - (SELECT "place" FROM "table_203_183" WHERE "season" = '2003/04') | 0.134766 |
CREATE TABLE table_name_51 (equipment VARCHAR, position VARCHAR, points VARCHAR)
| What is Equipment, when Position is greater than 28, and when Points is greater than 10? | SELECT equipment FROM table_name_51 WHERE position > 28 AND points > 10 | SELECT "equipment" FROM "table_name_51" WHERE "points" > 10 AND "position" > 28 | 0.077148 |
CREATE TABLE table_29022 ("Pick #" FLOAT, "Player" TEXT, "Position" TEXT, "Nationality" TEXT, "NHL team" TEXT, "College/junior/club team" TEXT)
| What was the nationality of player picked no. 168? | SELECT "Nationality" FROM table_29022 WHERE "Pick #" = '168' | SELECT "Nationality" FROM "table_29022" WHERE "Pick #" = '168' | 0.060547 |
CREATE TABLE table_39961 ("Country" TEXT, "Gold" FLOAT, "Silver" FLOAT, "Bronze" FLOAT, "Total" FLOAT)
| Which Bronze has a Country of malaysia, and a Total smaller than 2644? | SELECT SUM("Bronze") FROM table_39961 WHERE "Country" = 'malaysia' AND "Total" < '2644' | SELECT SUM("Bronze") FROM "table_39961" WHERE "Country" = 'malaysia' AND "Total" < '2644' | 0.086914 |
CREATE TABLE table_1342013_42 (district VARCHAR, incumbent VARCHAR)
| Omar Burleson was the incumbent in what district? | SELECT district FROM table_1342013_42 WHERE incumbent = "Omar Burleson" | SELECT "district" FROM "table_1342013_42" WHERE "Omar Burleson" = "incumbent" | 0.075195 |
CREATE TABLE table_60361 ("Date" TEXT, "Opponents" TEXT, "H / A" TEXT, "Result F\\u2013A" TEXT, "Attendance" FLOAT, "Group position" TEXT)
| Which Opponents have Attendance larger than 10,346, and a Date of 25 november 2008? | SELECT "Opponents" FROM table_60361 WHERE "Attendance" > '10,346' AND "Date" = '25 november 2008' | SELECT "Opponents" FROM "table_60361" WHERE "Attendance" > '10,346' AND "Date" = '25 november 2008' | 0.09668 |
CREATE TABLE club (Club_ID INT, name TEXT, Region TEXT, Start_year TEXT)
CREATE TABLE club_rank (Rank FLOAT, Club_ID INT, Gold FLOAT, Silver FLOAT, Bronze FLOAT, Total FLOAT)
CREATE TABLE competition (Competition_ID INT, Year FLOAT, Competition_type TEXT, Country TEXT)
CREATE TABLE player (Player_ID INT, name TEXT, Position TEXT, Club_ID INT, Apps FLOAT, Tries FLOAT, Goals TEXT, Points FLOAT)
CREATE TABLE competition_result (Competition_ID INT, Club_ID_1 INT, Club_ID_2 INT, Score TEXT)
| Give me a bar chart for how many competition type of each competition type, and I want to order in desc by the x axis please. | SELECT Competition_type, COUNT(Competition_type) FROM competition GROUP BY Competition_type ORDER BY Competition_type DESC | SELECT "Competition_type", COUNT("Competition_type") FROM "competition" GROUP BY "Competition_type" ORDER BY "Competition_type" DESC NULLS LAST | 0.139648 |
CREATE TABLE table_11799 ("Week" TEXT, "Date" TEXT, "Opponent" TEXT, "Result" TEXT, "Kickoff [a ]" TEXT, "Game site" TEXT, "Attendance" TEXT, "Record" TEXT)
| Which date had 67,472 in attendance? | SELECT "Date" FROM table_11799 WHERE "Attendance" = '67,472' | SELECT "Date" FROM "table_11799" WHERE "Attendance" = '67,472' | 0.060547 |
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