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CREATE TABLE table_1569625_1 (margin_of_victory VARCHAR2, tournament VARCHAR2)
| Name the margin of victory when tournament is algarve open de portugal | SELECT margin_of_victory FROM table_1569625_1 WHERE tournament = "Algarve Open de Portugal" | SELECT "margin_of_victory" FROM "table_1569625_1" WHERE "Algarve Open de Portugal" = "tournament" | 0.094727 |
CREATE TABLE table_name_48 (game_site VARCHAR2, kickoff VARCHAR2, record VARCHAR2)
| Where was the game played when they kickoff was 12:00 p.m., and a Record of 8-5? | SELECT game_site FROM table_name_48 WHERE kickoff = "12:00 p.m." AND record = "8-5" | SELECT "game_site" FROM "table_name_48" WHERE "12:00 p.m." = "kickoff" AND "8-5" = "record" | 0.088867 |
CREATE TABLE procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
CREATE TABLE d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
CREATE TABLE diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
CREATE TABLE prescriptions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, startdate TIME, enddate TIME, drug CLOB, dose_val_rx CLOB, dose_unit_rx CLOB, route CLOB)
CREATE TABLE icustays (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, first_careunit CLOB, last_careunit CLOB, first_wardid NUMBER, last_wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE admissions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, admittime TIME, dischtime TIME, admission_type CLOB, admission_location CLOB, discharge_location CLOB, insurance CLOB, language CLOB, marital_status CLOB, ethnicity CLOB, age NUMBER)
CREATE TABLE labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
CREATE TABLE transfers (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, eventtype CLOB, careunit CLOB, wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
CREATE TABLE outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
| how many times has patient 29611 ever visited the hospital? | SELECT COUNT(DISTINCT admissions.hadm_id) FROM admissions WHERE admissions.subject_id = 29611 | SELECT COUNT(DISTINCT "admissions"."hadm_id") FROM "admissions" WHERE "admissions"."subject_id" = 29611 | 0.100586 |
CREATE TABLE table_53582 ("Home team" CLOB, "Home team score" CLOB, "Away team" CLOB, "Away team score" CLOB, "Venue" CLOB, "Crowd" FLOAT, "Date" CLOB)
| What was the home team when the game was at Windy Hill? | SELECT "Home team" FROM table_53582 WHERE "Venue" = 'windy hill' | SELECT "Home team" FROM "table_53582" WHERE "Venue" = 'windy hill' | 0.064453 |
CREATE TABLE table_56477 ("Race" CLOB, "Circuit" CLOB, "Date" CLOB, "Pole position" CLOB, "Fastest lap" CLOB, "Winning driver" CLOB, "Constructor" CLOB, "Tyre" CLOB, "Report" CLOB)
| What is the fastest lap of the race where Giuseppe Farina was the winning driver? | SELECT "Fastest lap" FROM table_56477 WHERE "Winning driver" = 'giuseppe farina' | SELECT "Fastest lap" FROM "table_56477" WHERE "Winning driver" = 'giuseppe farina' | 0.080078 |
CREATE TABLE table_68783 ("Tie no" CLOB, "Home team" CLOB, "Score" CLOB, "Away team" CLOB, "Attendance" CLOB)
| Which Home Team has an Attendance of 1,859? | SELECT "Home team" FROM table_68783 WHERE "Attendance" = '1,859' | SELECT "Home team" FROM "table_68783" WHERE "Attendance" = '1,859' | 0.064453 |
CREATE TABLE table_name_9 (score VARCHAR2, opponent VARCHAR2)
| What is Score, when Opponent is '@ New York Knicks'? | SELECT score FROM table_name_9 WHERE opponent = "@ new york knicks" | SELECT "score" FROM "table_name_9" WHERE "@ new york knicks" = "opponent" | 0.071289 |
CREATE TABLE table_66614 ("Rank" CLOB, "Nation" CLOB, "Gold" FLOAT, "Silver" FLOAT, "Bronze" FLOAT, "Total" FLOAT)
| What is the number of silver medals when there are more than 1 gold, and more than 6 bronze? | SELECT MIN("Silver") FROM table_66614 WHERE "Gold" > '1' AND "Bronze" > '6' | SELECT MIN("Silver") FROM "table_66614" WHERE "Bronze" > '6' AND "Gold" > '1' | 0.075195 |
CREATE TABLE table_name_31 (country VARCHAR2, player VARCHAR2)
| What is the Country that has a Player of Scott Hoch? | SELECT country FROM table_name_31 WHERE player = "scott hoch" | SELECT "country" FROM "table_name_31" WHERE "player" = "scott hoch" | 0.06543 |
CREATE TABLE table_53316 ("Home team" CLOB, "Home team score" CLOB, "Away team" CLOB, "Away team score" CLOB, "Venue" CLOB, "Crowd" FLOAT, "Date" CLOB)
| What is the home team's score when st kilda is away? | SELECT "Home team score" FROM table_53316 WHERE "Away team" = 'st kilda' | SELECT "Home team score" FROM "table_53316" WHERE "Away team" = 'st kilda' | 0.072266 |
CREATE TABLE table_23286112_12 (series VARCHAR2, date VARCHAR2)
| Which series were played on April 18? | SELECT series FROM table_23286112_12 WHERE date = "April 18" | SELECT "series" FROM "table_23286112_12" WHERE "April 18" = "date" | 0.064453 |
CREATE TABLE management (department_id NUMBER, head_id NUMBER, temporary_acting CLOB)
CREATE TABLE department (department_id NUMBER, name CLOB, creation CLOB, ranking NUMBER, budget_in_billions NUMBER, num_employees NUMBER)
CREATE TABLE head (head_id NUMBER, name CLOB, born_state CLOB, age NUMBER)
| How many heads of the departments are older than 56 ? | SELECT COUNT(*) FROM head WHERE age > 56 | SELECT COUNT(*) FROM "head" WHERE "age" > 56 | 0.042969 |
CREATE TABLE table_68752 ("Date" CLOB, "Visiting Team" CLOB, "Final Score" CLOB, "Host Team" CLOB, "Stadium" CLOB)
| Who was the host team for the game on December 27? | SELECT "Host Team" FROM table_68752 WHERE "Date" = 'december 27' | SELECT "Host Team" FROM "table_68752" WHERE "Date" = 'december 27' | 0.064453 |
CREATE TABLE table_25711913_8 (player VARCHAR2, position VARCHAR2)
| Which player was at position left tackle? | SELECT player FROM table_25711913_8 WHERE position = "Left tackle" | SELECT "player" FROM "table_25711913_8" WHERE "Left tackle" = "position" | 0.070313 |
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
| how many of the patients admitted on clinic referral/premature were discharged for long term care hospital? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.admission_location = "CLINIC REFERRAL/PREMATURE" AND demographic.discharge_location = "LONG TERM CARE HOSPITAL" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "CLINIC REFERRAL/PREMATURE" = "demographic"."admission_location" AND "LONG TERM CARE HOSPITAL" = "demographic"."discharge_location" | 0.201172 |
CREATE TABLE table_5366 ("Club" CLOB, "Played" CLOB, "Drawn" CLOB, "Lost" CLOB, "Points for" CLOB, "Points against" CLOB, "Tries for" CLOB, "Tries against" CLOB, "Try bonus" CLOB, "Losing bonus" CLOB, "Points" CLOB)
| How many tries when 22 are played with 1 draw and a try bonus of 13? | SELECT "Tries against" FROM table_5366 WHERE "Played" = '22' AND "Drawn" = '1' AND "Try bonus" = '13' | SELECT "Tries against" FROM "table_5366" WHERE "Drawn" = '1' AND "Played" = '22' AND "Try bonus" = '13' | 0.100586 |
CREATE TABLE table_65397 ("County" CLOB, "Per capita income" CLOB, "Median household income" CLOB, "Median family income" CLOB, "Population" FLOAT, "Number of households" FLOAT)
| Which county has a median family income of $50,227? | SELECT "County" FROM table_65397 WHERE "Median family income" = '$50,227' | SELECT "County" FROM "table_65397" WHERE "Median family income" = '$50,227' | 0.073242 |
CREATE TABLE table_name_96 (runner_up VARCHAR2, tournament VARCHAR2)
| who is the runner- up when the tournament is santiago? | SELECT runner_up FROM table_name_96 WHERE tournament = "santiago" | SELECT "runner_up" FROM "table_name_96" WHERE "santiago" = "tournament" | 0.069336 |
CREATE TABLE ReviewTaskTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId NUMBER)
CREATE TABLE ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment CLOB)
CREATE TABLE PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
CREATE TABLE Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
CREATE TABLE PendingFlags (Id NUMBER, FlagTypeId NUMBER, PostId NUMBER, CreationDate TIME, CloseReasonTypeId NUMBER, CloseAsOffTopicReasonTypeId NUMBER, DuplicateOfQuestionId NUMBER, BelongsOnBaseHostAddress CLOB)
CREATE TABLE PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId NUMBER)
CREATE TABLE PostHistoryTypes (Id NUMBER, Name CLOB)
CREATE TABLE PostTypes (Id NUMBER, Name CLOB)
CREATE TABLE ReviewTaskStates (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
CREATE TABLE SuggestedEdits (Id NUMBER, PostId NUMBER, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId NUMBER, Comment CLOB, Text CLOB, Title CLOB, Tags CLOB, RevisionGUID other)
CREATE TABLE CloseReasonTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE VoteTypes (Id NUMBER, Name CLOB)
CREATE TABLE CloseAsOffTopicReasonTypes (Id NUMBER, IsUniversal BOOLEAN, InputTitle CLOB, MarkdownInputGuidance CLOB, MarkdownPostOwnerGuidance CLOB, MarkdownPrivilegedUserGuidance CLOB, MarkdownConcensusDescription CLOB, CreationDate TIME, CreationModeratorId NUMBER, ApprovalDate TIME, ApprovalModeratorId NUMBER, DeactivationDate TIME, DeactivationModeratorId NUMBER)
CREATE TABLE PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId NUMBER)
CREATE TABLE ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
CREATE TABLE TagSynonyms (Id NUMBER, SourceTagName CLOB, TargetTagName CLOB, CreationDate TIME, OwnerUserId NUMBER, AutoRenameCount NUMBER, LastAutoRename TIME, Score NUMBER, ApprovedByUserId NUMBER, ApprovalDate TIME)
CREATE TABLE SuggestedEditVotes (Id NUMBER, SuggestedEditId NUMBER, UserId NUMBER, VoteTypeId NUMBER, CreationDate TIME, TargetUserId NUMBER, TargetRepChange NUMBER)
CREATE TABLE ReviewTaskResultTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostHistory (Id NUMBER, PostHistoryTypeId NUMBER, PostId NUMBER, RevisionGUID other, CreationDate TIME, UserId NUMBER, UserDisplayName CLOB, Comment CLOB, Text CLOB, ContentLicense CLOB)
CREATE TABLE Users (Id NUMBER, Reputation NUMBER, CreationDate TIME, DisplayName CLOB, LastAccessDate TIME, WebsiteUrl CLOB, Location CLOB, AboutMe CLOB, Views NUMBER, UpVotes NUMBER, DownVotes NUMBER, ProfileImageUrl CLOB, EmailHash CLOB, AccountId NUMBER)
CREATE TABLE Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
CREATE TABLE Comments (Id NUMBER, PostId NUMBER, Score NUMBER, Text CLOB, CreationDate TIME, UserDisplayName CLOB, UserId NUMBER, ContentLicense CLOB)
CREATE TABLE PostTags (PostId NUMBER, TagId NUMBER)
CREATE TABLE Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount NUMBER)
CREATE TABLE PostsWithDeleted (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE Posts (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE FlagTypes (Id NUMBER, Name CLOB, Description CLOB)
| How many questions for a tag. | SELECT Id FROM Tags WHERE TagName = 'SCOM' | SELECT "Id" FROM "Tags" WHERE "TagName" = 'SCOM' | 0.046875 |
CREATE TABLE table_5395 ("Name of community" CLOB, "Area ( km\\u00b2 ) " FLOAT, "Population" FLOAT, "Excised from" CLOB, "Date granted" CLOB, "Deed number" CLOB)
| What is the population for Deed number of 21352021? | SELECT "Population" FROM table_5395 WHERE "Deed number" = '21352021' | SELECT "Population" FROM "table_5395" WHERE "Deed number" = '21352021' | 0.068359 |
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
| give me the number of patients with lab test item id 50893 who were admitted before the year 2139. | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.admityear < "2139" AND lab.itemid = "50893" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "lab" ON "50893" = "lab"."itemid" AND "demographic"."hadm_id" = "lab"."hadm_id" WHERE "2139" > "demographic"."admityear" | 0.189453 |
CREATE TABLE table_31226 ("Skip ( Club ) " CLOB, "W" FLOAT, "L" FLOAT, "PF" FLOAT, "PA" FLOAT, "Ends Won" FLOAT, "Ends Lost" FLOAT, "Blank Ends" FLOAT, "Stolen Ends" FLOAT)
| What is listed under L when the stolen ends is 1? | SELECT "L" FROM table_31226 WHERE "Stolen Ends" = '1' | SELECT "L" FROM "table_31226" WHERE "Stolen Ends" = '1' | 0.053711 |
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
| provide the number of patients whose procedure short title is aortocor bypas-2 cor art? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE procedures.short_title = "Aortocor bypas-2 cor art" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "procedures" ON "Aortocor bypas-2 cor art" = "procedures"."short_title" AND "demographic"."hadm_id" = "procedures"."hadm_id" | 0.193359 |
CREATE TABLE table_name_85 (score VARCHAR2, date VARCHAR2)
| What was the score on 15 march 2006? | SELECT score FROM table_name_85 WHERE date = "15 march 2006" | SELECT "score" FROM "table_name_85" WHERE "15 march 2006" = "date" | 0.064453 |
CREATE TABLE table_name_94 (total__kg_ NUMBER, bodyweight VARCHAR2, clean_ VARCHAR2, _jerk VARCHAR2)
| What is the total (kg when the bodyweight is more than 57.8, and the clean & jerk is less than 103? | SELECT SUM(total__kg_) FROM table_name_94 WHERE bodyweight > 57.8 AND clean_ & _jerk < 103 | SELECT SUM("total__kg_") FROM "table_name_94" WHERE "bodyweight" > 57.8 AND "clean_" & "_jerk" < 103 | 0.097656 |
CREATE TABLE table_203_222 (id NUMBER, "category" CLOB, "#" NUMBER, "name" CLOB, "hanzi" CLOB, "hanyu pinyin" CLOB, "population ( 2010 census ) " NUMBER, "area ( km2 ) " NUMBER, "density ( /km2 ) " NUMBER)
| is enping more/less dense than kaiping ? | SELECT (SELECT "density (/km2)" FROM table_203_222 WHERE "name" = 'enping') > (SELECT "density (/km2)" FROM table_203_222 WHERE "name" = 'kaiping') | SELECT (SELECT "density (/km2)" FROM "table_203_222" WHERE "name" = 'enping') > (SELECT "density (/km2)" FROM "table_203_222" WHERE "name" = 'kaiping') | 0.147461 |
CREATE TABLE table_55685 ("Home team" CLOB, "Home team score" CLOB, "Away team" CLOB, "Away team score" CLOB, "Venue" CLOB, "Crowd" FLOAT, "Date" CLOB)
| Where did the away team score 14.12 (96)? | SELECT "Venue" FROM table_55685 WHERE "Away team score" = '14.12 (96)' | SELECT "Venue" FROM "table_55685" WHERE "Away team score" = '14.12 (96)' | 0.070313 |
CREATE TABLE table_29778616_1 (manufacturer VARCHAR2, intro_date VARCHAR2, throughput VARCHAR2)
| Who is the manufacturer whose intro date is 2006 and their throughput is 4 mbit/s? | SELECT manufacturer FROM table_29778616_1 WHERE intro_date = "2006" AND throughput = "4 Mbit/s" | SELECT "manufacturer" FROM "table_29778616_1" WHERE "2006" = "intro_date" AND "4 Mbit/s" = "throughput" | 0.100586 |
CREATE TABLE table_33240 ("Home team" CLOB, "Home team score" CLOB, "Away team" CLOB, "Away team score" CLOB, "Venue" CLOB, "Crowd" FLOAT, "Date" CLOB)
| What was the away team score at Hawthorn? | SELECT "Away team score" FROM table_33240 WHERE "Home team" = 'hawthorn' | SELECT "Away team score" FROM "table_33240" WHERE "Home team" = 'hawthorn' | 0.072266 |
CREATE TABLE table_1230 ("Station" CLOB, "Year opened" CLOB, "Metropolitan borough [c ]" CLOB, "Zone" FLOAT, "Servedby Route maps:- [ dead link ] [ dead link ]" CLOB, "Station users 2006\\u201307" FLOAT, "Station users 2007\\u201308" FLOAT)
| Name all the stations in 2006-2007 who had 109200 users. | SELECT "Station" FROM table_1230 WHERE "Station users 2006\u201307" = '109200' | SELECT "Station" FROM "table_1230" WHERE "Station users 2006\u201307" = '109200' | 0.078125 |
CREATE TABLE table_21345 ("Date" CLOB, "Opponent" CLOB, "Venue" CLOB, "Result" CLOB, "Attendance" FLOAT, "Competition" CLOB, "Man of the Match" CLOB)
| How many attendance figures are given for the game where the final score was lost 5-3? | SELECT COUNT("Attendance") FROM table_21345 WHERE "Result" = 'Lost 5-3' | SELECT COUNT("Attendance") FROM "table_21345" WHERE "Result" = 'Lost 5-3' | 0.071289 |
CREATE TABLE table_465 ("Name" CLOB, "Pennant" CLOB, "Builder" CLOB, "Laid Down" CLOB, "Launched" CLOB, "Commissioned" CLOB, "Fate" CLOB)
| What is the name for 30 september 1943? | SELECT "Name" FROM table_465 WHERE "Launched" = '30 September 1943' | SELECT "Name" FROM "table_465" WHERE "Launched" = '30 September 1943' | 0.067383 |
CREATE TABLE instructor (instructor_id NUMBER, name VARCHAR2, uniqname VARCHAR2)
CREATE TABLE course_prerequisite (pre_course_id NUMBER, course_id NUMBER)
CREATE TABLE course_tags_count (course_id NUMBER, clear_grading NUMBER, pop_quiz NUMBER, group_projects NUMBER, inspirational NUMBER, long_lectures NUMBER, extra_credit NUMBER, few_tests NUMBER, good_feedback NUMBER, tough_tests NUMBER, heavy_papers NUMBER, cares_for_students NUMBER, heavy_assignments NUMBER, respected NUMBER, participation NUMBER, heavy_reading NUMBER, tough_grader NUMBER, hilarious NUMBER, would_take_again NUMBER, good_lecture NUMBER, no_skip NUMBER)
CREATE TABLE area (course_id NUMBER, area VARCHAR2)
CREATE TABLE program (program_id NUMBER, name VARCHAR2, college VARCHAR2, introduction VARCHAR2)
CREATE TABLE student_record (student_id NUMBER, course_id NUMBER, semester NUMBER, grade VARCHAR2, how VARCHAR2, transfer_source VARCHAR2, earn_credit VARCHAR2, repeat_term VARCHAR2, test_id VARCHAR2)
CREATE TABLE ta (campus_job_id NUMBER, student_id NUMBER, location VARCHAR2)
CREATE TABLE comment_instructor (instructor_id NUMBER, student_id NUMBER, score NUMBER, comment_text VARCHAR2)
CREATE TABLE gsi (course_offering_id NUMBER, student_id NUMBER)
CREATE TABLE offering_instructor (offering_instructor_id NUMBER, offering_id NUMBER, instructor_id NUMBER)
CREATE TABLE course_offering (offering_id NUMBER, course_id NUMBER, semester NUMBER, section_number NUMBER, start_time TIME, end_time TIME, monday VARCHAR2, tuesday VARCHAR2, wednesday VARCHAR2, thursday VARCHAR2, friday VARCHAR2, saturday VARCHAR2, sunday VARCHAR2, has_final_project VARCHAR2, has_final_exam VARCHAR2, textbook VARCHAR2, class_address VARCHAR2, allow_audit VARCHAR2)
CREATE TABLE semester (semester_id NUMBER, semester VARCHAR2, year NUMBER)
CREATE TABLE student (student_id NUMBER, lastname VARCHAR2, firstname VARCHAR2, program_id NUMBER, declare_major VARCHAR2, total_credit NUMBER, total_gpa FLOAT, entered_as VARCHAR2, admit_term NUMBER, predicted_graduation_semester NUMBER, degree VARCHAR2, minor VARCHAR2, internship VARCHAR2)
CREATE TABLE course (course_id NUMBER, name VARCHAR2, department VARCHAR2, number VARCHAR2, credits VARCHAR2, advisory_requirement VARCHAR2, enforced_requirement VARCHAR2, description VARCHAR2, num_semesters NUMBER, num_enrolled NUMBER, has_discussion VARCHAR2, has_lab VARCHAR2, has_projects VARCHAR2, has_exams VARCHAR2, num_reviews NUMBER, clarity_score NUMBER, easiness_score NUMBER, helpfulness_score NUMBER)
CREATE TABLE program_requirement (program_id NUMBER, category VARCHAR2, min_credit NUMBER, additional_req VARCHAR2)
CREATE TABLE requirement (requirement_id NUMBER, requirement VARCHAR2, college VARCHAR2)
CREATE TABLE program_course (program_id NUMBER, course_id NUMBER, workload NUMBER, category VARCHAR2)
CREATE TABLE jobs (job_id NUMBER, job_title VARCHAR2, description VARCHAR2, requirement VARCHAR2, city VARCHAR2, state VARCHAR2, country VARCHAR2, zip NUMBER)
| Are there morning classes in FILMVID 455 ? | SELECT COUNT(*) > 0 FROM course, course_offering, semester WHERE course_offering.start_time < '12:00:00' AND course_offering.start_time >= '08:00:00' AND course.course_id = course_offering.course_id AND course.department = 'FILMVID' AND course.number = 455 AND semester.semester = 'WN' AND semester.semester_id = course_offering.semester AND semester.year = 2016 | SELECT COUNT(*) > 0 FROM "course" JOIN "course_offering" ON "course"."course_id" = "course_offering"."course_id" AND "course_offering"."start_time" < '12:00:00' AND "course_offering"."start_time" >= '08:00:00' JOIN "semester" ON "course_offering"."semester" = "semester"."semester_id" AND "semester"."semester" = 'WN' AND "semester"."year" = 2016 WHERE "course"."department" = 'FILMVID' AND "course"."number" = 455 | 0.404297 |
CREATE TABLE table_name_32 (round VARCHAR2, player VARCHAR2)
| What round was Nick Gillis? | SELECT round FROM table_name_32 WHERE player = "nick gillis" | SELECT "round" FROM "table_name_32" WHERE "nick gillis" = "player" | 0.064453 |
CREATE TABLE table_39591 ("Season" FLOAT, "Overall" FLOAT, "Slalom" CLOB, "Giant Slalom" FLOAT, "Super G" FLOAT, "Downhill" CLOB, "Combined" CLOB)
| What is the highest overall prior to 1996 with a slalom of 39? | SELECT MAX("Overall") FROM table_39591 WHERE "Slalom" = '39' AND "Season" < '1996' | SELECT MAX("Overall") FROM "table_39591" WHERE "Season" < '1996' AND "Slalom" = '39' | 0.082031 |
CREATE TABLE table_name_84 (year NUMBER, from_album VARCHAR2)
| How many years were there albums by heat wave? | SELECT SUM(year) FROM table_name_84 WHERE from_album = "heat wave" | SELECT SUM("year") FROM "table_name_84" WHERE "from_album" = "heat wave" | 0.070313 |
CREATE TABLE table_name_45 (goals NUMBER, leading_scorer VARCHAR2)
| Leading Scorer of Ian rush is what lowest # of goals? | SELECT MIN(goals) FROM table_name_45 WHERE leading_scorer = "ian rush" | SELECT MIN("goals") FROM "table_name_45" WHERE "ian rush" = "leading_scorer" | 0.074219 |
CREATE TABLE Courses (course_id NUMBER, author_id NUMBER, subject_id NUMBER, course_name VARCHAR2, course_description VARCHAR2)
CREATE TABLE Student_Tests_Taken (registration_id NUMBER, date_test_taken DATETIME, test_result VARCHAR2)
CREATE TABLE Student_Course_Enrolment (registration_id NUMBER, student_id NUMBER, course_id NUMBER, date_of_enrolment DATETIME, date_of_completion DATETIME)
CREATE TABLE Subjects (subject_id NUMBER, subject_name VARCHAR2)
CREATE TABLE Students (student_id NUMBER, date_of_registration DATETIME, date_of_latest_logon DATETIME, login_name VARCHAR2, password VARCHAR2, personal_name VARCHAR2, middle_name VARCHAR2, family_name VARCHAR2)
CREATE TABLE Course_Authors_and_Tutors (author_id NUMBER, author_tutor_ATB VARCHAR2, login_name VARCHAR2, password VARCHAR2, personal_name VARCHAR2, middle_name VARCHAR2, family_name VARCHAR2, gender_mf VARCHAR2, address_line_1 VARCHAR2)
| What are the number of the completion dates of all the tests that have result 'Fail'?, and rank from low to high by the the number of date of completion. | SELECT date_of_completion, COUNT(date_of_completion) FROM Student_Course_Enrolment AS T1 JOIN Student_Tests_Taken AS T2 ON T1.registration_id = T2.registration_id WHERE T2.test_result = "Fail" GROUP BY date_of_completion ORDER BY COUNT(date_of_completion) | SELECT "date_of_completion", COUNT("date_of_completion") FROM "Student_Course_Enrolment" "T1" JOIN "Student_Tests_Taken" "T2" ON "Fail" = "T2"."test_result" AND "T1"."registration_id" = "T2"."registration_id" GROUP BY "date_of_completion" ORDER BY COUNT("date_of_completion") | 0.268555 |
CREATE TABLE Roles (Role_Code CHAR, Role_Name VARCHAR2, Role_Description VARCHAR2)
CREATE TABLE Documents_to_be_Destroyed (Document_ID NUMBER, Destruction_Authorised_by_Employee_ID NUMBER, Destroyed_by_Employee_ID NUMBER, Planned_Destruction_Date DATETIME, Actual_Destruction_Date DATETIME, Other_Details VARCHAR2)
CREATE TABLE Ref_Locations (Location_Code CHAR, Location_Name VARCHAR2, Location_Description VARCHAR2)
CREATE TABLE Employees (Employee_ID NUMBER, Role_Code CHAR, Employee_Name VARCHAR2, Gender_MFU CHAR, Date_of_Birth DATETIME, Other_Details VARCHAR2)
CREATE TABLE All_Documents (Document_ID NUMBER, Date_Stored DATETIME, Document_Type_Code CHAR, Document_Name CHAR, Document_Description CHAR, Other_Details VARCHAR2)
CREATE TABLE Document_Locations (Document_ID NUMBER, Location_Code CHAR, Date_in_Location_From DATETIME, Date_in_Locaton_To DATETIME)
CREATE TABLE Ref_Document_Types (Document_Type_Code CHAR, Document_Type_Name VARCHAR2, Document_Type_Description VARCHAR2)
CREATE TABLE Ref_Calendar (Calendar_Date DATETIME, Day_Number NUMBER)
| How many documents in different starting date? Return a line chart binning starting date by year interval, sort X in asc order please. | SELECT Date_in_Location_From, COUNT(Date_in_Location_From) FROM Document_Locations ORDER BY Date_in_Location_From | SELECT "Date_in_Location_From", COUNT("Date_in_Location_From") FROM "Document_Locations" ORDER BY "Date_in_Location_From" | 0.118164 |
CREATE TABLE performance (Performance_ID FLOAT, Date CLOB, Host CLOB, Location CLOB, Attendance NUMBER)
CREATE TABLE member (Member_ID CLOB, Name CLOB, Nationality CLOB, Role CLOB)
CREATE TABLE member_attendance (Member_ID NUMBER, Performance_ID NUMBER, Num_of_Pieces NUMBER)
| Compare the total number of locations in each location using a bar graph. | SELECT Location, COUNT(Location) FROM performance GROUP BY Location | SELECT "Location", COUNT("Location") FROM "performance" GROUP BY "Location" | 0.073242 |
CREATE TABLE table_24795 ("Pilot" CLOB, "Organization" CLOB, "Total Flights" FLOAT, "USAF space flights" FLOAT, "FAI space flights" FLOAT, "Max Mach" CLOB, "Max speed ( mph ) " FLOAT, "Max altitude ( miles ) " CLOB)
| What were all USAF space flights when the aximum speed was 3822? | SELECT "USAF space flights" FROM table_24795 WHERE "Max speed (mph)" = '3822' | SELECT "USAF space flights" FROM "table_24795" WHERE "Max speed (mph)" = '3822' | 0.077148 |
CREATE TABLE record (ID NUMBER, Result CLOB, Swimmer_ID NUMBER, Event_ID NUMBER)
CREATE TABLE stadium (ID NUMBER, name CLOB, Capacity NUMBER, City CLOB, Country CLOB, Opening_year NUMBER)
CREATE TABLE event (ID NUMBER, Name CLOB, Stadium_ID NUMBER, Year CLOB)
CREATE TABLE swimmer (ID NUMBER, name CLOB, Nationality CLOB, meter_100 FLOAT, meter_200 CLOB, meter_300 CLOB, meter_400 CLOB, meter_500 CLOB, meter_600 CLOB, meter_700 CLOB, Time CLOB)
| Give me the comparison about meter_100 over the meter_400 , could you order in asc by the x axis? | SELECT meter_400, meter_100 FROM swimmer ORDER BY meter_400 | SELECT "meter_400", "meter_100" FROM "swimmer" ORDER BY "meter_400" | 0.06543 |
CREATE TABLE Projects (Project_ID NUMBER, Project_Details VARCHAR2)
CREATE TABLE Accounts (Account_ID NUMBER, Statement_ID NUMBER, Account_Details VARCHAR2)
CREATE TABLE Ref_Document_Types (Document_Type_Code CHAR, Document_Type_Name VARCHAR2, Document_Type_Description VARCHAR2)
CREATE TABLE Statements (Statement_ID NUMBER, Statement_Details VARCHAR2)
CREATE TABLE Documents (Document_ID NUMBER, Document_Type_Code CHAR, Project_ID NUMBER, Document_Date DATETIME, Document_Name VARCHAR2, Document_Description VARCHAR2, Other_Details VARCHAR2)
CREATE TABLE Documents_with_Expenses (Document_ID NUMBER, Budget_Type_Code CHAR, Document_Details VARCHAR2)
CREATE TABLE Ref_Budget_Codes (Budget_Type_Code CHAR, Budget_Type_Description VARCHAR2)
| Return a bar chart to show how many documents for different budget type description, and list the number of budget type description in asc order. | SELECT Budget_Type_Description, COUNT(Budget_Type_Description) FROM Documents_with_Expenses AS T1 JOIN Ref_Budget_Codes AS T2 ON T1.Budget_Type_Code = T2.Budget_Type_Code GROUP BY Budget_Type_Description ORDER BY COUNT(Budget_Type_Description) | SELECT "Budget_Type_Description", COUNT("Budget_Type_Description") FROM "Documents_with_Expenses" "T1" JOIN "Ref_Budget_Codes" "T2" ON "T1"."Budget_Type_Code" = "T2"."Budget_Type_Code" GROUP BY "Budget_Type_Description" ORDER BY COUNT("Budget_Type_Description") | 0.254883 |
CREATE TABLE journalist (Name VARCHAR2, journalist_ID VARCHAR2)
CREATE TABLE event (Name VARCHAR2, Event_ID VARCHAR2, Event_Attendance VARCHAR2)
CREATE TABLE news_report (Event_ID VARCHAR2, journalist_ID VARCHAR2)
| Show the names of journalists and the names of the events they reported in ascending order | SELECT T3.Name, T2.Name FROM news_report AS T1 JOIN event AS T2 ON T1.Event_ID = T2.Event_ID JOIN journalist AS T3 ON T1.journalist_ID = T3.journalist_ID ORDER BY T2.Event_Attendance | SELECT "T3"."Name", "T2"."Name" FROM "news_report" "T1" JOIN "event" "T2" ON "T1"."Event_ID" = "T2"."Event_ID" JOIN "journalist" "T3" ON "T1"."journalist_ID" = "T3"."journalist_ID" ORDER BY "T2"."Event_Attendance" | 0.208008 |
CREATE TABLE table_name_94 (graduated NUMBER, player VARCHAR2)
| What year did Omar Gonzalez graduate? | SELECT SUM(graduated) FROM table_name_94 WHERE player = "omar gonzalez" | SELECT SUM("graduated") FROM "table_name_94" WHERE "omar gonzalez" = "player" | 0.075195 |
CREATE TABLE table_37346 ("Date" CLOB, "Visitor" CLOB, "Score" CLOB, "Home" CLOB, "Leading scorer" CLOB, "Attendance" FLOAT, "Record" CLOB)
| What is the attendance of the game on 2007-04-07 with the Warriors as the visitor team? | SELECT "Attendance" FROM table_37346 WHERE "Visitor" = 'warriors' AND "Date" = '2007-04-07' | SELECT "Attendance" FROM "table_37346" WHERE "Date" = '2007-04-07' AND "Visitor" = 'warriors' | 0.09082 |
CREATE TABLE table_13566548_1 (autonomous_community VARCHAR2, wind_power VARCHAR2)
| What is the community with a wind power of 1042? | SELECT autonomous_community FROM table_13566548_1 WHERE wind_power = 1042 | SELECT "autonomous_community" FROM "table_13566548_1" WHERE "wind_power" = 1042 | 0.077148 |
CREATE TABLE table_22481 ("Township" CLOB, "County" CLOB, "Pop. ( 2010 ) " FLOAT, "Land ( sqmi ) " CLOB, "Water ( sqmi ) " CLOB, "Latitude" CLOB, "Longitude" CLOB, "GEO ID" FLOAT, "ANSI code" FLOAT)
| What is the GEO ID of the township with area of 32.532 square miles? | SELECT MAX("GEO ID") FROM table_22481 WHERE "Land ( sqmi )" = '32.532' | SELECT MAX("GEO ID") FROM "table_22481" WHERE "Land ( sqmi )" = '32.532' | 0.070313 |
CREATE TABLE election (election_id NUMBER, counties_represented CLOB, district NUMBER, delegate CLOB, party NUMBER, first_elected NUMBER, committee CLOB)
CREATE TABLE county (county_id NUMBER, county_name CLOB, population NUMBER, zip_code CLOB)
CREATE TABLE party (party_id NUMBER, year NUMBER, party CLOB, governor CLOB, lieutenant_governor CLOB, comptroller CLOB, attorney_general CLOB, us_senate CLOB)
| How many distinct governors are there? | SELECT COUNT(DISTINCT governor) FROM party | SELECT COUNT(DISTINCT "governor") FROM "party" | 0.044922 |
CREATE TABLE table_test_6 ("id" NUMBER, "scr" NUMBER, "anemia" BOOLEAN, "blood_hemoglobin" NUMBER, "bleeding" NUMBER, "hemorrhagic_diseases" BOOLEAN, "stroke" BOOLEAN, "blood_platelet_counts" NUMBER, "trauma" BOOLEAN, "renal_disease" BOOLEAN, "hematocrit_hct" FLOAT, "hepatic_disease" BOOLEAN, "polyglobulia" BOOLEAN, "estimated_glomerular_filtration_rate_egfr" NUMBER, "non_ischemic_stroke" BOOLEAN, "surgery" BOOLEAN, "NOUSE" FLOAT)
| known hemorrhagic diseases | SELECT * FROM table_test_6 WHERE hemorrhagic_diseases = 1 | SELECT * FROM "table_test_6" WHERE "hemorrhagic_diseases" = 1 | 0.05957 |
CREATE TABLE table_name_20 (surface VARCHAR2, week VARCHAR2)
| What surface was played on during the week of August 10? | SELECT surface FROM table_name_20 WHERE week = "august 10" | SELECT "surface" FROM "table_name_20" WHERE "august 10" = "week" | 0.0625 |
CREATE TABLE table_30802 ("Year" CLOB, "Position" FLOAT, "Games played" FLOAT, "Won" FLOAT, "Tied" FLOAT, "Lost" FLOAT, "Goals Scored" FLOAT, "Goals Against" FLOAT, "Points" FLOAT, "Postseason place" CLOB)
| What is the goals against listed when the goals scored is 30? | SELECT "Goals Against" FROM table_30802 WHERE "Goals Scored" = '30' | SELECT "Goals Against" FROM "table_30802" WHERE "Goals Scored" = '30' | 0.067383 |
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
| How many patients were admitted to hospital for percutaneous (endoscopic) gastrostomy (peg) before the year 2124? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.admityear < "2124" AND procedures.long_title = "Percutaneous [endoscopic] gastrostomy [PEG]" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "procedures" ON "Percutaneous [endoscopic] gastrostomy [PEG]" = "procedures"."long_title" AND "demographic"."hadm_id" = "procedures"."hadm_id" WHERE "2124" > "demographic"."admityear" | 0.250977 |
CREATE TABLE table_203_564 (id NUMBER, "hand" CLOB, "1 credit" NUMBER, "2 credits" NUMBER, "3 credits" NUMBER, "4 credits" NUMBER, "5 credits" NUMBER)
| which is a higher standing hand : a straight or a flush ? | SELECT "hand" FROM table_203_564 WHERE "hand" IN ('straight', 'flush') ORDER BY "1 credit" DESC LIMIT 1 | SELECT "hand" FROM "table_203_564" WHERE "hand" IN ('straight', 'flush') ORDER BY "1 credit" DESC FETCH FIRST 1 ROWS ONLY | 0.118164 |
CREATE TABLE table_61530 ("Bow number" CLOB, "Ship name" CLOB, "Launched" CLOB, "Commissioned" CLOB, "Service" CLOB)
| When did the ship that was commissioned July 1948 with a bow number of ps-31 launch? | SELECT "Launched" FROM table_61530 WHERE "Commissioned" = 'july 1948' AND "Bow number" = 'ps-31' | SELECT "Launched" FROM "table_61530" WHERE "Bow number" = 'ps-31' AND "Commissioned" = 'july 1948' | 0.095703 |
CREATE TABLE assessment_notes (notes_id NUMBER, student_id NUMBER, teacher_id NUMBER, date_of_notes TIME, text_of_notes CLOB, other_details CLOB)
CREATE TABLE behavior_incident (incident_id NUMBER, incident_type_code CLOB, student_id NUMBER, date_incident_start TIME, date_incident_end TIME, incident_summary CLOB, recommendations CLOB, other_details CLOB)
CREATE TABLE ref_detention_type (detention_type_code CLOB, detention_type_description CLOB)
CREATE TABLE teachers (teacher_id NUMBER, address_id NUMBER, first_name CLOB, middle_name CLOB, last_name CLOB, gender CLOB, cell_mobile_number CLOB, email_address CLOB, other_details CLOB)
CREATE TABLE ref_address_types (address_type_code CLOB, address_type_description CLOB)
CREATE TABLE addresses (address_id NUMBER, line_1 CLOB, line_2 CLOB, line_3 CLOB, city CLOB, zip_postcode CLOB, state_province_county CLOB, country CLOB, other_address_details CLOB)
CREATE TABLE students (student_id NUMBER, address_id NUMBER, first_name CLOB, middle_name CLOB, last_name CLOB, cell_mobile_number CLOB, email_address CLOB, date_first_rental TIME, date_left_university TIME, other_student_details CLOB)
CREATE TABLE student_addresses (student_id NUMBER, address_id NUMBER, date_address_from TIME, date_address_to TIME, monthly_rental NUMBER, other_details CLOB)
CREATE TABLE ref_incident_type (incident_type_code CLOB, incident_type_description CLOB)
CREATE TABLE detention (detention_id NUMBER, detention_type_code CLOB, teacher_id NUMBER, datetime_detention_start TIME, datetime_detention_end TIME, detention_summary CLOB, other_details CLOB)
CREATE TABLE students_in_detention (student_id NUMBER, detention_id NUMBER, incident_id NUMBER)
| What are the email addresses of teachers whose address has zip code '918'? | SELECT T2.email_address FROM addresses AS T1 JOIN teachers AS T2 ON T1.address_id = T2.address_id WHERE T1.zip_postcode = "918" | SELECT "T2"."email_address" FROM "addresses" "T1" JOIN "teachers" "T2" ON "T1"."address_id" = "T2"."address_id" WHERE "918" = "T1"."zip_postcode" | 0.141602 |
CREATE TABLE table_name_68 (upstream VARCHAR2, monthly_cap VARCHAR2)
| What is the upstream with a 150 gb monthly cap? | SELECT upstream FROM table_name_68 WHERE monthly_cap = "150 gb" | SELECT "upstream" FROM "table_name_68" WHERE "150 gb" = "monthly_cap" | 0.067383 |
CREATE TABLE Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
CREATE TABLE ReviewTaskResultTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
CREATE TABLE ReviewTaskTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Posts (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE PostTypes (Id NUMBER, Name CLOB)
CREATE TABLE PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
CREATE TABLE Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount NUMBER)
CREATE TABLE CloseReasonTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Users (Id NUMBER, Reputation NUMBER, CreationDate TIME, DisplayName CLOB, LastAccessDate TIME, WebsiteUrl CLOB, Location CLOB, AboutMe CLOB, Views NUMBER, UpVotes NUMBER, DownVotes NUMBER, ProfileImageUrl CLOB, EmailHash CLOB, AccountId NUMBER)
CREATE TABLE Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
CREATE TABLE ReviewTaskStates (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostsWithDeleted (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE SuggestedEdits (Id NUMBER, PostId NUMBER, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId NUMBER, Comment CLOB, Text CLOB, Title CLOB, Tags CLOB, RevisionGUID other)
CREATE TABLE Comments (Id NUMBER, PostId NUMBER, Score NUMBER, Text CLOB, CreationDate TIME, UserDisplayName CLOB, UserId NUMBER, ContentLicense CLOB)
CREATE TABLE FlagTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment CLOB)
CREATE TABLE PendingFlags (Id NUMBER, FlagTypeId NUMBER, PostId NUMBER, CreationDate TIME, CloseReasonTypeId NUMBER, CloseAsOffTopicReasonTypeId NUMBER, DuplicateOfQuestionId NUMBER, BelongsOnBaseHostAddress CLOB)
CREATE TABLE PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId NUMBER)
CREATE TABLE TagSynonyms (Id NUMBER, SourceTagName CLOB, TargetTagName CLOB, CreationDate TIME, OwnerUserId NUMBER, AutoRenameCount NUMBER, LastAutoRename TIME, Score NUMBER, ApprovedByUserId NUMBER, ApprovalDate TIME)
CREATE TABLE PostHistoryTypes (Id NUMBER, Name CLOB)
CREATE TABLE SuggestedEditVotes (Id NUMBER, SuggestedEditId NUMBER, UserId NUMBER, VoteTypeId NUMBER, CreationDate TIME, TargetUserId NUMBER, TargetRepChange NUMBER)
CREATE TABLE VoteTypes (Id NUMBER, Name CLOB)
CREATE TABLE ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId NUMBER)
CREATE TABLE PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId NUMBER)
CREATE TABLE CloseAsOffTopicReasonTypes (Id NUMBER, IsUniversal BOOLEAN, InputTitle CLOB, MarkdownInputGuidance CLOB, MarkdownPostOwnerGuidance CLOB, MarkdownPrivilegedUserGuidance CLOB, MarkdownConcensusDescription CLOB, CreationDate TIME, CreationModeratorId NUMBER, ApprovalDate TIME, ApprovalModeratorId NUMBER, DeactivationDate TIME, DeactivationModeratorId NUMBER)
CREATE TABLE PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
CREATE TABLE PostHistory (Id NUMBER, PostHistoryTypeId NUMBER, PostId NUMBER, RevisionGUID other, CreationDate TIME, UserId NUMBER, UserDisplayName CLOB, Comment CLOB, Text CLOB, ContentLicense CLOB)
CREATE TABLE PostTags (PostId NUMBER, TagId NUMBER)
| Ratio open / closed queries at PM.SE. | SELECT COUNT(1) FROM Posts WHERE ClosedDate IS NULL | SELECT COUNT(1) FROM "Posts" WHERE "ClosedDate" IS NULL | 0.053711 |
CREATE TABLE table_43523 ("School" CLOB, "Bask" FLOAT, "Golf" CLOB, "Soccer" CLOB, "Soft" CLOB, "Swimming" CLOB, "Tennis" FLOAT, "Indoor track" CLOB, "Outdoor track" CLOB, "Volleyball" CLOB, "Total" FLOAT)
| Which Bask has an Indoor track of 0, and a Swimming of 5? | SELECT MIN("Bask") FROM table_43523 WHERE "Indoor track" = '0' AND "Swimming" = '5' | SELECT MIN("Bask") FROM "table_43523" WHERE "Indoor track" = '0' AND "Swimming" = '5' | 0.083008 |
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
| How many of the widowed patients had chronic kidney disease (stage iv (severe))? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.marital_status = "WIDOWED" AND diagnoses.long_title = "Chronic kidney disease, Stage IV (severe)" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "Chronic kidney disease, Stage IV (severe)" = "diagnoses"."long_title" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" WHERE "WIDOWED" = "demographic"."marital_status" | 0.253906 |
CREATE TABLE table_70783 ("Lithium" CLOB, "Sodium" CLOB, "Potassium" CLOB, "Rubidium" CLOB, "Caesium" CLOB)
| what is the type of lithium when rubidium is nabr (1.9)? | SELECT "Lithium" FROM table_70783 WHERE "Rubidium" = 'nabr (1.9)' | SELECT "Lithium" FROM "table_70783" WHERE "Rubidium" = 'nabr (1.9)' | 0.06543 |
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
| how many patients whose gender is f and primary disease is sternal wound infection? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.gender = "F" AND demographic.diagnosis = "STERNAL WOUND INFECTION" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "F" = "demographic"."gender" AND "STERNAL WOUND INFECTION" = "demographic"."diagnosis" | 0.157227 |
CREATE TABLE table_58642 ("Geelong FL" CLOB, "Wins" FLOAT, "Byes" FLOAT, "Losses" FLOAT, "Draws" FLOAT, "Against" FLOAT)
| Which Byes have an Against smaller than 1466, and Losses smaller than 6? | SELECT "Byes" FROM table_58642 WHERE "Against" < '1466' AND "Losses" < '6' | SELECT "Byes" FROM "table_58642" WHERE "Against" < '1466' AND "Losses" < '6' | 0.074219 |
CREATE TABLE admissions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, admittime TIME, dischtime TIME, admission_type CLOB, admission_location CLOB, discharge_location CLOB, insurance CLOB, language CLOB, marital_status CLOB, ethnicity CLOB, age NUMBER)
CREATE TABLE microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
CREATE TABLE icustays (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, first_careunit CLOB, last_careunit CLOB, first_wardid NUMBER, last_wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE prescriptions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, startdate TIME, enddate TIME, drug CLOB, dose_val_rx CLOB, dose_unit_rx CLOB, route CLOB)
CREATE TABLE labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
CREATE TABLE outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
CREATE TABLE procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE transfers (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, eventtype CLOB, careunit CLOB, wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
CREATE TABLE inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
| how many days have passed since the last time patient 8888 visited careunit tsicu in their current hospital encounter? | SELECT 1 * (STRFTIME('%j', CURRENT_TIME()) - STRFTIME('%j', transfers.intime)) FROM transfers WHERE transfers.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 8888 AND admissions.dischtime IS NULL) AND transfers.careunit = 'tsicu' ORDER BY transfers.intime DESC LIMIT 1 | WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."dischtime" IS NULL AND "admissions"."subject_id" = 8888 GROUP BY "hadm_id") SELECT 1 * (STRFTIME('%j', CURRENT_TIME()) - STRFTIME('%j', "transfers"."intime")) FROM "transfers" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "transfers"."hadm_id" WHERE "transfers"."careunit" = 'tsicu' AND NOT "_u_0"."" IS NULL ORDER BY "transfers"."intime" DESC FETCH FIRST 1 ROWS ONLY | 0.433594 |
CREATE TABLE table_28973 ("No. in series" FLOAT, "No. in season" FLOAT, "Title" CLOB, "Directed by" CLOB, "Written by" CLOB, "Original air date" CLOB, "U.S. viewers ( millions ) " CLOB)
| How many titles have U.S. viewers 1.66 million. | SELECT COUNT("Title") FROM table_28973 WHERE "U.S. viewers (millions)" = '1.66' | SELECT COUNT("Title") FROM "table_28973" WHERE "U.S. viewers (millions)" = '1.66' | 0.079102 |
CREATE TABLE Financial_Transactions (transaction_id NUMBER, account_id NUMBER, invoice_number NUMBER, transaction_type VARCHAR2, transaction_date DATETIME, transaction_amount NUMBER, transaction_comment VARCHAR2, other_transaction_details VARCHAR2)
CREATE TABLE Product_Categories (production_type_code VARCHAR2, product_type_description VARCHAR2, vat_rating NUMBER)
CREATE TABLE Customers (customer_id NUMBER, customer_first_name VARCHAR2, customer_middle_initial VARCHAR2, customer_last_name VARCHAR2, gender VARCHAR2, email_address VARCHAR2, login_name VARCHAR2, login_password VARCHAR2, phone_number VARCHAR2, town_city VARCHAR2, state_county_province VARCHAR2, country VARCHAR2)
CREATE TABLE Invoices (invoice_number NUMBER, order_id NUMBER, invoice_date DATETIME)
CREATE TABLE Products (product_id NUMBER, parent_product_id NUMBER, production_type_code VARCHAR2, unit_price NUMBER, product_name VARCHAR2, product_color VARCHAR2, product_size VARCHAR2)
CREATE TABLE Invoice_Line_Items (order_item_id NUMBER, invoice_number NUMBER, product_id NUMBER, product_title VARCHAR2, product_quantity VARCHAR2, product_price NUMBER, derived_product_cost NUMBER, derived_vat_payable NUMBER, derived_total_cost NUMBER)
CREATE TABLE Order_Items (order_item_id NUMBER, order_id NUMBER, product_id NUMBER, product_quantity VARCHAR2, other_order_item_details VARCHAR2)
CREATE TABLE Accounts (account_id NUMBER, customer_id NUMBER, date_account_opened DATETIME, account_name VARCHAR2, other_account_details VARCHAR2)
CREATE TABLE Orders (order_id NUMBER, customer_id NUMBER, date_order_placed DATETIME, order_details VARCHAR2)
| Show the number of accounts for each customer in a bar chart grouping by customer's last name, and rank from high to low by the total number. | SELECT customer_last_name, COUNT(*) FROM Accounts AS T1 JOIN Customers AS T2 ON T1.customer_id = T2.customer_id GROUP BY T1.customer_id ORDER BY COUNT(*) DESC | SELECT "customer_last_name", COUNT(*) FROM "Accounts" "T1" JOIN "Customers" "T2" ON "T1"."customer_id" = "T2"."customer_id" GROUP BY "T1"."customer_id" ORDER BY COUNT(*) DESC | 0.169922 |
CREATE TABLE table_name_71 (assists NUMBER, pims VARCHAR2, goals VARCHAR2)
| What is the smallest number of assists with 70 Pims and less than 19 goals? | SELECT MIN(assists) FROM table_name_71 WHERE pims = 70 AND goals < 19 | SELECT MIN("assists") FROM "table_name_71" WHERE "goals" < 19 AND "pims" = 70 | 0.075195 |
CREATE TABLE ReviewTaskStates (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment CLOB)
CREATE TABLE Comments (Id NUMBER, PostId NUMBER, Score NUMBER, Text CLOB, CreationDate TIME, UserDisplayName CLOB, UserId NUMBER, ContentLicense CLOB)
CREATE TABLE Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
CREATE TABLE ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId NUMBER)
CREATE TABLE SuggestedEditVotes (Id NUMBER, SuggestedEditId NUMBER, UserId NUMBER, VoteTypeId NUMBER, CreationDate TIME, TargetUserId NUMBER, TargetRepChange NUMBER)
CREATE TABLE ReviewTaskResultTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId NUMBER)
CREATE TABLE PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
CREATE TABLE Posts (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId NUMBER)
CREATE TABLE PendingFlags (Id NUMBER, FlagTypeId NUMBER, PostId NUMBER, CreationDate TIME, CloseReasonTypeId NUMBER, CloseAsOffTopicReasonTypeId NUMBER, DuplicateOfQuestionId NUMBER, BelongsOnBaseHostAddress CLOB)
CREATE TABLE Users (Id NUMBER, Reputation NUMBER, CreationDate TIME, DisplayName CLOB, LastAccessDate TIME, WebsiteUrl CLOB, Location CLOB, AboutMe CLOB, Views NUMBER, UpVotes NUMBER, DownVotes NUMBER, ProfileImageUrl CLOB, EmailHash CLOB, AccountId NUMBER)
CREATE TABLE Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount NUMBER)
CREATE TABLE PostHistoryTypes (Id NUMBER, Name CLOB)
CREATE TABLE SuggestedEdits (Id NUMBER, PostId NUMBER, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId NUMBER, Comment CLOB, Text CLOB, Title CLOB, Tags CLOB, RevisionGUID other)
CREATE TABLE VoteTypes (Id NUMBER, Name CLOB)
CREATE TABLE TagSynonyms (Id NUMBER, SourceTagName CLOB, TargetTagName CLOB, CreationDate TIME, OwnerUserId NUMBER, AutoRenameCount NUMBER, LastAutoRename TIME, Score NUMBER, ApprovedByUserId NUMBER, ApprovalDate TIME)
CREATE TABLE PostTags (PostId NUMBER, TagId NUMBER)
CREATE TABLE Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
CREATE TABLE CloseReasonTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostHistory (Id NUMBER, PostHistoryTypeId NUMBER, PostId NUMBER, RevisionGUID other, CreationDate TIME, UserId NUMBER, UserDisplayName CLOB, Comment CLOB, Text CLOB, ContentLicense CLOB)
CREATE TABLE ReviewTaskTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
CREATE TABLE CloseAsOffTopicReasonTypes (Id NUMBER, IsUniversal BOOLEAN, InputTitle CLOB, MarkdownInputGuidance CLOB, MarkdownPostOwnerGuidance CLOB, MarkdownPrivilegedUserGuidance CLOB, MarkdownConcensusDescription CLOB, CreationDate TIME, CreationModeratorId NUMBER, ApprovalDate TIME, ApprovalModeratorId NUMBER, DeactivationDate TIME, DeactivationModeratorId NUMBER)
CREATE TABLE FlagTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostsWithDeleted (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
CREATE TABLE PostTypes (Id NUMBER, Name CLOB)
| [points]+ rep users posted a [reaction] received answer during [last N months]. | SELECT CAST(Posts.CreationDate AS DATE) AS PostDate, COUNT(DISTINCT Users.Id) AS UserCount FROM Users LEFT JOIN Posts ON Users.Id = Posts.OwnerUserId WHERE Users.Reputation >= 1e4 AND Users.LastAccessDate >= DATEADD(year, -1, GETDATE()) AND Posts.CreationDate >= DATEADD(year, -1, GETDATE()) AND Posts.PostTypeId = 2 AND Posts.Score >= 0 GROUP BY CAST(Posts.CreationDate AS DATE) ORDER BY PostDate | SELECT CAST("Posts"."CreationDate" AS DATE) AS "PostDate", COUNT(DISTINCT "Users"."Id") AS "UserCount" FROM "Users" LEFT JOIN "Posts" ON "Posts"."OwnerUserId" = "Users"."Id" WHERE "Posts"."CreationDate" >= DATEADD("year", -1, GETDATE()) AND "Posts"."PostTypeId" = 2 AND "Posts"."Score" >= 0 AND "Users"."LastAccessDate" >= DATEADD("year", -1, GETDATE()) AND "Users"."Reputation" >= 1e4 GROUP BY CAST("Posts"."CreationDate" AS DATE) ORDER BY "PostDate" | 0.44043 |
CREATE TABLE table_203_105 (id NUMBER, "name" CLOB, "street address" CLOB, "years as tallest" CLOB, "height\ ft ( m ) " CLOB, "floors" NUMBER)
| how many buildings on the list are taller than 200 feet ? | SELECT COUNT("name") FROM table_203_105 WHERE "height\nft (m)" > 200 | SELECT COUNT("name") FROM "table_203_105" WHERE "height\nft (m)" > 200 | 0.068359 |
CREATE TABLE table_32 ("Player" CLOB, "Total W\\u2013L" CLOB, "Singles W\\u2013L" CLOB, "Doubles W\\u2013L" CLOB, "Ties played" FLOAT, "Debut" FLOAT, "Years played" FLOAT)
| what's the total w l where player is boro jovanovi category:articles with hcards | SELECT "Total W\u2013L" FROM table_32 WHERE "Player" = 'Boro Jovanović Category:Articles with hCards' | SELECT "Total W\u2013L" FROM "table_32" WHERE "Player" = 'Boro Jovanović Category:Articles with hCards' | 0.100586 |
CREATE TABLE table_66542 ("Elimination" CLOB, "Wrestler" CLOB, "Team" CLOB, "Eliminated by" CLOB, "Elimination move" CLOB, "Time" CLOB)
| Who's the wrestler with an elimination of 1? | SELECT "Wrestler" FROM table_66542 WHERE "Elimination" = '1' | SELECT "Wrestler" FROM "table_66542" WHERE "Elimination" = '1' | 0.060547 |
CREATE TABLE inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
CREATE TABLE diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE prescriptions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, startdate TIME, enddate TIME, drug CLOB, dose_val_rx CLOB, dose_unit_rx CLOB, route CLOB)
CREATE TABLE procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
CREATE TABLE outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
CREATE TABLE patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
CREATE TABLE admissions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, admittime TIME, dischtime TIME, admission_type CLOB, admission_location CLOB, discharge_location CLOB, insurance CLOB, language CLOB, marital_status CLOB, ethnicity CLOB, age NUMBER)
CREATE TABLE d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
CREATE TABLE cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE transfers (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, eventtype CLOB, careunit CLOB, wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE icustays (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, first_careunit CLOB, last_careunit CLOB, first_wardid NUMBER, last_wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
| when was the first lab test patient 55624 has received until 02/2100? | SELECT labevents.charttime FROM labevents WHERE labevents.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 55624) AND STRFTIME('%y-%m', labevents.charttime) <= '2100-02' ORDER BY labevents.charttime LIMIT 1 | WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 55624 GROUP BY "hadm_id") SELECT "labevents"."charttime" FROM "labevents" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "labevents"."hadm_id" WHERE NOT "_u_0"."" IS NULL AND STRFTIME('%y-%m', "labevents"."charttime") <= '2100-02' ORDER BY "labevents"."charttime" FETCH FIRST 1 ROWS ONLY | 0.368164 |
CREATE TABLE table_9441 ("Name" CLOB, "Born-Died" CLOB, "Term start" CLOB, "Term end" CLOB, "Political Party" CLOB)
| Which Political Party has a Name of mehdi bej frash ri (2nd time)? | SELECT "Political Party" FROM table_9441 WHERE "Name" = 'mehdi bej frashëri (2nd time)' | SELECT "Political Party" FROM "table_9441" WHERE "Name" = 'mehdi bej frashëri (2nd time)' | 0.086914 |
CREATE TABLE table_204_599 (id NUMBER, "party" CLOB, "first duma" CLOB, "second duma" CLOB, "third duma" CLOB, "fourth duma" CLOB)
| how many third duma and fourth duma for nationalists | SELECT "third duma" + "fourth duma" FROM table_204_599 WHERE "party" = 'nationalists' | SELECT "third duma" + "fourth duma" FROM "table_204_599" WHERE "party" = 'nationalists' | 0.084961 |
CREATE TABLE hall_of_fame (player_id CLOB, yearid NUMBER, votedby CLOB, ballots CLOB, needed CLOB, votes CLOB, inducted CLOB, category CLOB, needed_note CLOB)
CREATE TABLE player_award (player_id CLOB, award_id CLOB, year NUMBER, league_id CLOB, tie CLOB, notes CLOB)
CREATE TABLE player (player_id CLOB, birth_year CLOB, birth_month CLOB, birth_day CLOB, birth_country CLOB, birth_state CLOB, birth_city CLOB, death_year CLOB, death_month CLOB, death_day CLOB, death_country CLOB, death_state CLOB, death_city CLOB, name_first CLOB, name_last CLOB, name_given CLOB, weight CLOB)
CREATE TABLE salary (year NUMBER, team_id CLOB, league_id CLOB, player_id CLOB, salary NUMBER)
CREATE TABLE player_award_vote (award_id CLOB, year NUMBER, league_id CLOB, player_id CLOB, points_won NUMBER, points_max NUMBER, votes_first CLOB)
| Which Country are most baseball players from? | SELECT birth_country FROM player GROUP BY birth_country ORDER BY COUNT(*) DESC LIMIT 1 | SELECT "birth_country" FROM "player" GROUP BY "birth_country" ORDER BY COUNT(*) DESC FETCH FIRST 1 ROWS ONLY | 0.105469 |
CREATE TABLE table_592 ("No" FLOAT, "Player" CLOB, "Height" CLOB, "Position" CLOB, "Year born" FLOAT, "Current Club" CLOB)
| What player is 2.01 m tall? | SELECT "Player" FROM table_592 WHERE "Height" = '2.01' | SELECT "Player" FROM "table_592" WHERE "Height" = '2.01' | 0.054688 |
CREATE TABLE SuggestedEditVotes (Id NUMBER, SuggestedEditId NUMBER, UserId NUMBER, VoteTypeId NUMBER, CreationDate TIME, TargetUserId NUMBER, TargetRepChange NUMBER)
CREATE TABLE Comments (Id NUMBER, PostId NUMBER, Score NUMBER, Text CLOB, CreationDate TIME, UserDisplayName CLOB, UserId NUMBER, ContentLicense CLOB)
CREATE TABLE PostTags (PostId NUMBER, TagId NUMBER)
CREATE TABLE ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment CLOB)
CREATE TABLE PostHistoryTypes (Id NUMBER, Name CLOB)
CREATE TABLE FlagTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
CREATE TABLE PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId NUMBER)
CREATE TABLE SuggestedEdits (Id NUMBER, PostId NUMBER, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId NUMBER, Comment CLOB, Text CLOB, Title CLOB, Tags CLOB, RevisionGUID other)
CREATE TABLE Users (Id NUMBER, Reputation NUMBER, CreationDate TIME, DisplayName CLOB, LastAccessDate TIME, WebsiteUrl CLOB, Location CLOB, AboutMe CLOB, Views NUMBER, UpVotes NUMBER, DownVotes NUMBER, ProfileImageUrl CLOB, EmailHash CLOB, AccountId NUMBER)
CREATE TABLE ReviewTaskStates (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE CloseReasonTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE TagSynonyms (Id NUMBER, SourceTagName CLOB, TargetTagName CLOB, CreationDate TIME, OwnerUserId NUMBER, AutoRenameCount NUMBER, LastAutoRename TIME, Score NUMBER, ApprovedByUserId NUMBER, ApprovalDate TIME)
CREATE TABLE ReviewTaskResultTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
CREATE TABLE CloseAsOffTopicReasonTypes (Id NUMBER, IsUniversal BOOLEAN, InputTitle CLOB, MarkdownInputGuidance CLOB, MarkdownPostOwnerGuidance CLOB, MarkdownPrivilegedUserGuidance CLOB, MarkdownConcensusDescription CLOB, CreationDate TIME, CreationModeratorId NUMBER, ApprovalDate TIME, ApprovalModeratorId NUMBER, DeactivationDate TIME, DeactivationModeratorId NUMBER)
CREATE TABLE VoteTypes (Id NUMBER, Name CLOB)
CREATE TABLE ReviewTaskTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount NUMBER)
CREATE TABLE PostsWithDeleted (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
CREATE TABLE Posts (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId NUMBER)
CREATE TABLE PostHistory (Id NUMBER, PostHistoryTypeId NUMBER, PostId NUMBER, RevisionGUID other, CreationDate TIME, UserId NUMBER, UserDisplayName CLOB, Comment CLOB, Text CLOB, ContentLicense CLOB)
CREATE TABLE PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
CREATE TABLE ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId NUMBER)
CREATE TABLE PostTypes (Id NUMBER, Name CLOB)
CREATE TABLE PendingFlags (Id NUMBER, FlagTypeId NUMBER, PostId NUMBER, CreationDate TIME, CloseReasonTypeId NUMBER, CloseAsOffTopicReasonTypeId NUMBER, DuplicateOfQuestionId NUMBER, BelongsOnBaseHostAddress CLOB)
CREATE TABLE Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
| Number of posts by calendar year, with deleted. | SELECT TIME_TO_STR(CreationDate, '%Y') AS year, COUNT(Id) AS postsCount FROM Posts WHERE PostTypeId = '##type?2##' GROUP BY TIME_TO_STR(CreationDate, '%Y') ORDER BY TIME_TO_STR(CreationDate, '%Y') | SELECT TO_CHAR("CreationDate", 'YYYY') AS "year", COUNT("Id") AS "postsCount" FROM "Posts" WHERE "PostTypeId" = '##type?2##' GROUP BY TO_CHAR("CreationDate", 'YYYY') ORDER BY TO_CHAR("CreationDate", 'YYYY') | 0.201172 |
CREATE TABLE table_50820 ("Model number" CLOB, "sSpec number" CLOB, "Frequency" CLOB, "L2 cache" CLOB, "Mult." CLOB, "Voltage" CLOB, "Socket" CLOB, "Release date" CLOB, "Part number ( s ) " CLOB, "Release price ( USD ) " CLOB)
| What was the release price of the Atom Z510PT processor? | SELECT "Release price ( USD )" FROM table_50820 WHERE "Model number" = 'atom z510pt' | SELECT "Release price ( USD )" FROM "table_50820" WHERE "Model number" = 'atom z510pt' | 0.083984 |
CREATE TABLE table_1809 ("Year" FLOAT, "Lok Sabha" CLOB, "Members of Parliament" CLOB, "Party Won" CLOB, "Winners % votes" CLOB, "Trailing Party" CLOB, "Trailing Party % votes" CLOB)
| Which party won, when the trailing votes were 29.37% | SELECT "Party Won" FROM table_1809 WHERE "Trailing Party % votes" = '29.37%' | SELECT "Party Won" FROM "table_1809" WHERE "Trailing Party % votes" = '29.37%' | 0.076172 |
CREATE TABLE table_5877 ("Rank" CLOB, "Quarterback" CLOB, "Streak start" CLOB, "Streak end" CLOB, "Teams" CLOB, "Regular season" FLOAT, "Playoffs" FLOAT, "Total" FLOAT)
| What rank has 123 as the total? | SELECT "Rank" FROM table_5877 WHERE "Total" = '123' | SELECT "Rank" FROM "table_5877" WHERE "Total" = '123' | 0.051758 |
CREATE TABLE table_35291 ("Date" CLOB, "Tournament" CLOB, "Winning score" CLOB, "Margin of victory" CLOB, "Runner ( s ) -up" CLOB)
| What is the winning score of the tournament on 16 May 1993? | SELECT "Winning score" FROM table_35291 WHERE "Date" = '16 may 1993' | SELECT "Winning score" FROM "table_35291" WHERE "Date" = '16 may 1993' | 0.068359 |
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
| Report the number of patients with left femur fracture primary disease who died in or before 2115. | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.diagnosis = "LEFT FEMUR FRACTURE" AND demographic.dod_year <= "2115.0" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "2115.0" >= "demographic"."dod_year" AND "LEFT FEMUR FRACTURE" = "demographic"."diagnosis" | 0.161133 |
CREATE TABLE Manufacturers (Code NUMBER, Name VARCHAR2, Headquarter VARCHAR2, Founder VARCHAR2, Revenue FLOAT)
CREATE TABLE Products (Code NUMBER, Name VARCHAR2, Price NUMBER, Manufacturer NUMBER)
| For those records from the products and each product's manufacturer, show me about the distribution of name and revenue , and group by attribute name in a bar chart, display in descending by the bars. | SELECT T1.Name, T2.Revenue FROM Products AS T1 JOIN Manufacturers AS T2 ON T1.Manufacturer = T2.Code GROUP BY T1.Name, T1.Name ORDER BY T1.Name DESC | SELECT "T1"."Name", "T2"."Revenue" FROM "Products" "T1" JOIN "Manufacturers" "T2" ON "T1"."Manufacturer" = "T2"."Code" GROUP BY "T1"."Name", "T1"."Name" ORDER BY "T1"."Name" DESC | 0.173828 |
CREATE TABLE Reviewer (rID NUMBER, name CLOB)
CREATE TABLE Movie (mID NUMBER, title CLOB, year NUMBER, director CLOB)
CREATE TABLE Rating (rID NUMBER, mID NUMBER, stars NUMBER, ratingDate DATE)
| Please give me a bar chart to compare the stars by directors, list by the y-axis in desc. | SELECT director, stars FROM Rating AS T1 JOIN Movie AS T2 ON T1.mID = T2.mID ORDER BY stars DESC | SELECT "director", "stars" FROM "Rating" "T1" JOIN "Movie" "T2" ON "T1"."mID" = "T2"."mID" ORDER BY "stars" DESC | 0.109375 |
CREATE TABLE Employees (employee_id NUMBER, employee_address_id NUMBER, employee_name VARCHAR2, employee_phone VARCHAR2)
CREATE TABLE Products (product_id NUMBER, product_name VARCHAR2, product_price NUMBER, product_description VARCHAR2)
CREATE TABLE Regular_Orders (regular_order_id NUMBER, distributer_id NUMBER)
CREATE TABLE Actual_Orders (actual_order_id NUMBER, order_status_code VARCHAR2, regular_order_id NUMBER, actual_order_date DATETIME)
CREATE TABLE Actual_Order_Products (actual_order_id NUMBER, product_id NUMBER)
CREATE TABLE Trucks (truck_id NUMBER, truck_licence_number VARCHAR2, truck_details VARCHAR2)
CREATE TABLE Regular_Order_Products (regular_order_id NUMBER, product_id NUMBER)
CREATE TABLE Delivery_Routes (route_id NUMBER, route_name VARCHAR2, other_route_details VARCHAR2)
CREATE TABLE Customer_Addresses (customer_id NUMBER, address_id NUMBER, date_from DATETIME, address_type VARCHAR2, date_to DATETIME)
CREATE TABLE Delivery_Route_Locations (location_code VARCHAR2, route_id NUMBER, location_address_id NUMBER, location_name VARCHAR2)
CREATE TABLE Customers (customer_id NUMBER, payment_method VARCHAR2, customer_name VARCHAR2, customer_phone VARCHAR2, customer_email VARCHAR2, date_became_customer DATETIME)
CREATE TABLE Addresses (address_id NUMBER, address_details VARCHAR2, city VARCHAR2, zip_postcode VARCHAR2, state_province_county VARCHAR2, country VARCHAR2)
CREATE TABLE Order_Deliveries (location_code VARCHAR2, actual_order_id NUMBER, delivery_status_code VARCHAR2, driver_employee_id NUMBER, truck_id NUMBER, delivery_date DATETIME)
| List the state names and the number of customers living in each state, order from low to high by the the total number . | SELECT state_province_county, COUNT(*) FROM Customer_Addresses AS t1 JOIN Addresses AS t2 ON t1.address_id = t2.address_id GROUP BY t2.state_province_county ORDER BY COUNT(*) | SELECT "state_province_county", COUNT(*) FROM "Customer_Addresses" "t1" JOIN "Addresses" "t2" ON "t1"."address_id" = "t2"."address_id" GROUP BY "t2"."state_province_county" ORDER BY COUNT(*) | 0.185547 |
CREATE TABLE county_public_safety (county_id NUMBER, name CLOB, population NUMBER, police_officers NUMBER, residents_per_officer NUMBER, case_burden NUMBER, crime_rate NUMBER, police_force CLOB, location CLOB)
CREATE TABLE city (city_id NUMBER, county_id NUMBER, name CLOB, white NUMBER, black NUMBER, amerindian NUMBER, asian NUMBER, multiracial NUMBER, hispanic NUMBER)
| Show the police force shared by counties with location on the east and west. | SELECT police_force FROM county_public_safety WHERE location = "East" INTERSECT SELECT police_force FROM county_public_safety WHERE location = "West" | SELECT "police_force" FROM "county_public_safety" WHERE "East" = "location" INTERSECT SELECT "police_force" FROM "county_public_safety" WHERE "West" = "location" | 0.157227 |
CREATE TABLE table_100518_1 (direction VARCHAR2, weapon VARCHAR2)
| What are the directions for the guardian whose weapon is kha ga (sword)? | SELECT direction FROM table_100518_1 WHERE weapon = "Khaḍga (sword)" | SELECT "direction" FROM "table_100518_1" WHERE "Khaḍga (sword)" = "weapon" | 0.072266 |
CREATE TABLE table_12262 ("Built" FLOAT, "Ship" CLOB, "Operator" CLOB, "Tonnage" CLOB, "Flag" CLOB)
| What operator has a ship costa pacifica? | SELECT "Operator" FROM table_12262 WHERE "Ship" = 'costa pacifica' | SELECT "Operator" FROM "table_12262" WHERE "Ship" = 'costa pacifica' | 0.066406 |
CREATE TABLE transfers (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, eventtype CLOB, careunit CLOB, wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
CREATE TABLE icustays (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, first_careunit CLOB, last_careunit CLOB, first_wardid NUMBER, last_wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
CREATE TABLE microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
CREATE TABLE d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
CREATE TABLE diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
CREATE TABLE admissions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, admittime TIME, dischtime TIME, admission_type CLOB, admission_location CLOB, discharge_location CLOB, insurance CLOB, language CLOB, marital_status CLOB, ethnicity CLOB, age NUMBER)
CREATE TABLE prescriptions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, startdate TIME, enddate TIME, drug CLOB, dose_val_rx CLOB, dose_unit_rx CLOB, route CLOB)
| when they came to the hospital first time, what is the marital status of patient 28343? | SELECT admissions.marital_status FROM admissions WHERE admissions.subject_id = 28343 AND NOT admissions.dischtime IS NULL ORDER BY admissions.admittime LIMIT 1 | SELECT "admissions"."marital_status" FROM "admissions" WHERE "admissions"."subject_id" = 28343 AND NOT "admissions"."dischtime" IS NULL ORDER BY "admissions"."admittime" FETCH FIRST 1 ROWS ONLY | 0.188477 |
CREATE TABLE Subjects (subject_id NUMBER, subject_name VARCHAR2)
CREATE TABLE Courses (course_id NUMBER, author_id NUMBER, subject_id NUMBER, course_name VARCHAR2, course_description VARCHAR2)
CREATE TABLE Student_Tests_Taken (registration_id NUMBER, date_test_taken DATETIME, test_result VARCHAR2)
CREATE TABLE Course_Authors_and_Tutors (author_id NUMBER, author_tutor_ATB VARCHAR2, login_name VARCHAR2, password VARCHAR2, personal_name VARCHAR2, middle_name VARCHAR2, family_name VARCHAR2, gender_mf VARCHAR2, address_line_1 VARCHAR2)
CREATE TABLE Student_Course_Enrolment (registration_id NUMBER, student_id NUMBER, course_id NUMBER, date_of_enrolment DATETIME, date_of_completion DATETIME)
CREATE TABLE Students (student_id NUMBER, date_of_registration DATETIME, date_of_latest_logon DATETIME, login_name VARCHAR2, password VARCHAR2, personal_name VARCHAR2, middle_name VARCHAR2, family_name VARCHAR2)
| Find the number of courses for each subject in a pie chart. | SELECT subject_name, COUNT(*) FROM Courses AS T1 JOIN Subjects AS T2 ON T1.subject_id = T2.subject_id GROUP BY T1.subject_id | SELECT "subject_name", COUNT(*) FROM "Courses" "T1" JOIN "Subjects" "T2" ON "T1"."subject_id" = "T2"."subject_id" GROUP BY "T1"."subject_id" | 0.136719 |
CREATE TABLE table_1439096_1 (original_air_date__atv_ VARCHAR2, episode_no VARCHAR2)
| What was the original air date (atv) of episode 1? | SELECT original_air_date__atv_ FROM table_1439096_1 WHERE episode_no = 1 | SELECT "original_air_date__atv_" FROM "table_1439096_1" WHERE "episode_no" = 1 | 0.076172 |
CREATE TABLE table_51507 ("Tournament" CLOB, "2006" CLOB, "2007" CLOB, "2008" CLOB, "2009" CLOB, "2010" CLOB, "2011" CLOB, "2012" CLOB, "2013" CLOB)
| What's the value for 2007 when 2011 is a and 2009 is q2? | SELECT "2007" FROM table_51507 WHERE "2011" = 'a' AND "2009" = 'q2' | SELECT "2007" FROM "table_51507" WHERE "2009" = 'q2' AND "2011" = 'a' | 0.067383 |
CREATE TABLE table_name_19 (team_1 VARCHAR2)
| What is the first leg of team 1 for Hardware stars? | SELECT 1 AS st_leg FROM table_name_19 WHERE team_1 = "hardware stars" | SELECT 1 AS "st_leg" FROM "table_name_19" WHERE "hardware stars" = "team_1" | 0.073242 |
CREATE TABLE table_name_5 (tournament VARCHAR2, opponent VARCHAR2)
| In what tournament did Cipolla face Sergio Roitman? | SELECT tournament FROM table_name_5 WHERE opponent = "sergio roitman" | SELECT "tournament" FROM "table_name_5" WHERE "opponent" = "sergio roitman" | 0.073242 |
CREATE TABLE medication (medicationid NUMBER, patientunitstayid NUMBER, drugname CLOB, dosage CLOB, routeadmin CLOB, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE vitalperiodic (vitalperiodicid NUMBER, patientunitstayid NUMBER, temperature NUMBER, sao2 NUMBER, heartrate NUMBER, respiration NUMBER, systemicsystolic NUMBER, systemicdiastolic NUMBER, systemicmean NUMBER, observationtime TIME)
CREATE TABLE diagnosis (diagnosisid NUMBER, patientunitstayid NUMBER, diagnosisname CLOB, diagnosistime TIME, icd9code CLOB)
CREATE TABLE patient (uniquepid CLOB, patienthealthsystemstayid NUMBER, patientunitstayid NUMBER, gender CLOB, age CLOB, ethnicity CLOB, hospitalid NUMBER, wardid NUMBER, admissionheight NUMBER, admissionweight NUMBER, dischargeweight NUMBER, hospitaladmittime TIME, hospitaladmitsource CLOB, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus CLOB)
CREATE TABLE microlab (microlabid NUMBER, patientunitstayid NUMBER, culturesite CLOB, organism CLOB, culturetakentime TIME)
CREATE TABLE intakeoutput (intakeoutputid NUMBER, patientunitstayid NUMBER, cellpath CLOB, celllabel CLOB, cellvaluenumeric NUMBER, intakeoutputtime TIME)
CREATE TABLE lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime TIME)
CREATE TABLE treatment (treatmentid NUMBER, patientunitstayid NUMBER, treatmentname CLOB, treatmenttime TIME)
CREATE TABLE allergy (allergyid NUMBER, patientunitstayid NUMBER, drugname CLOB, allergyname CLOB, allergytime TIME)
CREATE TABLE cost (costid NUMBER, uniquepid CLOB, patienthealthsystemstayid NUMBER, eventtype CLOB, eventid NUMBER, chargetime TIME, cost NUMBER)
| what is the chloride percentile of 100.0 among patients of the same age as patient 015-52724 in the current hospital visit? | SELECT DISTINCT t1.c1 FROM (SELECT lab.labresult, PERCENT_RANK() OVER (ORDER BY lab.labresult) AS c1 FROM lab WHERE lab.labname = 'chloride' AND lab.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.age = (SELECT patient.age FROM patient WHERE patient.uniquepid = '015-52724' AND patient.hospitaldischargetime IS NULL))) AS t1 WHERE t1.labresult = 100.0 | WITH "_u_1" AS (SELECT "patient"."patientunitstayid" FROM "patient" JOIN "patient" "patient_2" ON "patient"."age" = "patient_2"."age" AND "patient_2"."hospitaldischargetime" IS NULL AND "patient_2"."uniquepid" = '015-52724' GROUP BY "patientunitstayid") SELECT DISTINCT PERCENT_RANK() OVER (ORDER BY "lab"."labresult") FROM "lab" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "lab"."patientunitstayid" WHERE "lab"."labname" = 'chloride' AND "lab"."labresult" = 100.0 AND NOT "_u_1"."" IS NULL | 0.473633 |
CREATE TABLE table_62978 ("Tournament" CLOB, "Wins" FLOAT, "Top-5" FLOAT, "Top-10" FLOAT, "Top-25" FLOAT, "Events" FLOAT, "Cuts made" FLOAT)
| What's the sum of Top-10 that has Events that's larger than 16, and has a Top-5 that's also larger than 5? | SELECT COUNT("Top-10") FROM table_62978 WHERE "Events" > '16' AND "Top-5" > '5' | SELECT COUNT("Top-10") FROM "table_62978" WHERE "Events" > '16' AND "Top-5" > '5' | 0.079102 |
CREATE TABLE table_63885 ("Driver" CLOB, "Navigator" CLOB, "Vehicle" CLOB, "Class" CLOB, "Capacity" FLOAT, "Total Time" CLOB, "Margin" CLOB)
| How much time did Coad make when the margin was 04:02? | SELECT "Total Time" FROM table_63885 WHERE "Margin" = '04:02' AND "Driver" = 'coad' | SELECT "Total Time" FROM "table_63885" WHERE "Driver" = 'coad' AND "Margin" = '04:02' | 0.083008 |
CREATE TABLE table_19377 ("Tour" CLOB, "Mens singles" CLOB, "Womens singles" CLOB, "Mens doubles" CLOB, "Womens doubles" CLOB, "Mixed doubles" CLOB)
| Name the mixed doubles for zhu lin | SELECT "Mixed doubles" FROM table_19377 WHERE "Womens singles" = 'Zhu Lin' | SELECT "Mixed doubles" FROM "table_19377" WHERE "Womens singles" = 'Zhu Lin' | 0.074219 |
CREATE TABLE table_58113 ("Home team" CLOB, "Home team score" CLOB, "Away team" CLOB, "Away team score" CLOB, "Venue" CLOB, "Crowd" FLOAT, "Date" CLOB)
| How many people were in attendance when the home team scored 7.11 (53)? | SELECT "Crowd" FROM table_58113 WHERE "Home team score" = '7.11 (53)' | SELECT "Crowd" FROM "table_58113" WHERE "Home team score" = '7.11 (53)' | 0.069336 |
CREATE TABLE fare (fare_id NUMBER, from_airport VARCHAR2, to_airport VARCHAR2, fare_basis_code CLOB, fare_airline CLOB, restriction_code CLOB, one_direction_cost NUMBER, round_trip_cost NUMBER, round_trip_required VARCHAR2)
CREATE TABLE class_of_service (booking_class VARCHAR2, rank NUMBER, class_description CLOB)
CREATE TABLE flight_fare (flight_id NUMBER, fare_id NUMBER)
CREATE TABLE ground_service (city_code CLOB, airport_code CLOB, transport_type CLOB, ground_fare NUMBER)
CREATE TABLE city (city_code VARCHAR2, city_name VARCHAR2, state_code VARCHAR2, country_name VARCHAR2, time_zone_code VARCHAR2)
CREATE TABLE flight_stop (flight_id NUMBER, stop_number NUMBER, stop_days CLOB, stop_airport CLOB, arrival_time NUMBER, arrival_airline CLOB, arrival_flight_number NUMBER, departure_time NUMBER, departure_airline CLOB, departure_flight_number NUMBER, stop_time NUMBER)
CREATE TABLE time_zone (time_zone_code CLOB, time_zone_name CLOB, hours_from_gmt NUMBER)
CREATE TABLE flight (aircraft_code_sequence CLOB, airline_code VARCHAR2, airline_flight CLOB, arrival_time NUMBER, connections NUMBER, departure_time NUMBER, dual_carrier CLOB, flight_days CLOB, flight_id NUMBER, flight_number NUMBER, from_airport VARCHAR2, meal_code CLOB, stops NUMBER, time_elapsed NUMBER, to_airport VARCHAR2)
CREATE TABLE date_day (month_number NUMBER, day_number NUMBER, year NUMBER, day_name VARCHAR2)
CREATE TABLE flight_leg (flight_id NUMBER, leg_number NUMBER, leg_flight NUMBER)
CREATE TABLE code_description (code VARCHAR2, description CLOB)
CREATE TABLE compartment_class (compartment VARCHAR2, class_type VARCHAR2)
CREATE TABLE food_service (meal_code CLOB, meal_number NUMBER, compartment CLOB, meal_description VARCHAR2)
CREATE TABLE airport_service (city_code VARCHAR2, airport_code VARCHAR2, miles_distant NUMBER, direction VARCHAR2, minutes_distant NUMBER)
CREATE TABLE month (month_number NUMBER, month_name CLOB)
CREATE TABLE dual_carrier (main_airline VARCHAR2, low_flight_number NUMBER, high_flight_number NUMBER, dual_airline VARCHAR2, service_name CLOB)
CREATE TABLE airport (airport_code VARCHAR2, airport_name CLOB, airport_location CLOB, state_code VARCHAR2, country_name VARCHAR2, time_zone_code VARCHAR2, minimum_connect_time NUMBER)
CREATE TABLE airline (airline_code VARCHAR2, airline_name CLOB, note CLOB)
CREATE TABLE days (days_code VARCHAR2, day_name VARCHAR2)
CREATE TABLE aircraft (aircraft_code VARCHAR2, aircraft_description VARCHAR2, manufacturer VARCHAR2, basic_type VARCHAR2, engines NUMBER, propulsion VARCHAR2, wide_body VARCHAR2, wing_span NUMBER, length NUMBER, weight NUMBER, capacity NUMBER, pay_load NUMBER, cruising_speed NUMBER, range_miles NUMBER, pressurized VARCHAR2)
CREATE TABLE fare_basis (fare_basis_code CLOB, booking_class CLOB, class_type CLOB, premium CLOB, economy CLOB, discounted CLOB, night CLOB, season CLOB, basis_days CLOB)
CREATE TABLE restriction (restriction_code CLOB, advance_purchase NUMBER, stopovers CLOB, saturday_stay_required CLOB, minimum_stay NUMBER, maximum_stay NUMBER, application CLOB, no_discounts CLOB)
CREATE TABLE state (state_code CLOB, state_name CLOB, country_name CLOB)
CREATE TABLE time_interval (period CLOB, begin_time NUMBER, end_time NUMBER)
CREATE TABLE equipment_sequence (aircraft_code_sequence VARCHAR2, aircraft_code VARCHAR2)
| show me all flights arriving to DENVER from BOSTON | SELECT DISTINCT flight.flight_id FROM airport_service AS AIRPORT_SERVICE_0, airport_service AS AIRPORT_SERVICE_1, city AS CITY_0, city AS CITY_1, flight WHERE CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'BOSTON' AND CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'DENVER' AND flight.from_airport = AIRPORT_SERVICE_0.airport_code AND flight.to_airport = AIRPORT_SERVICE_1.airport_code | SELECT DISTINCT "flight"."flight_id" FROM "airport_service" "AIRPORT_SERVICE_0" JOIN "city" "CITY_0" ON "AIRPORT_SERVICE_0"."city_code" = "CITY_0"."city_code" AND "CITY_0"."city_name" = 'BOSTON' JOIN "flight" ON "AIRPORT_SERVICE_0"."airport_code" = "flight"."from_airport" JOIN "airport_service" "AIRPORT_SERVICE_1" ON "AIRPORT_SERVICE_1"."airport_code" = "flight"."to_airport" JOIN "city" "CITY_1" ON "AIRPORT_SERVICE_1"."city_code" = "CITY_1"."city_code" AND "CITY_1"."city_name" = 'DENVER' | 0.480469 |
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