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CREATE TABLE table_40188 ("Name" CLOB, "Date of Birth" CLOB, "Height" FLOAT, "Weight" FLOAT, "Spike" FLOAT, "Block" FLOAT)
| What is the highest block that has 15.09.1981 as the date, and a height greater than 202? | SELECT MAX("Block") FROM table_40188 WHERE "Date of Birth" = '15.09.1981' AND "Height" > '202' | SELECT MAX("Block") FROM "table_40188" WHERE "Date of Birth" = '15.09.1981' AND "Height" > '202' | 0.09375 |
CREATE TABLE artist (country VARCHAR2)
| How many artists are from Bangladesh? | SELECT COUNT(*) FROM artist WHERE country = "Bangladesh" | SELECT COUNT(*) FROM "artist" WHERE "Bangladesh" = "country" | 0.058594 |
CREATE TABLE table_name_56 (date VARCHAR2, high_points VARCHAR2)
| What is Date, when High Points is 'Danny Granger (32)'? | SELECT date FROM table_name_56 WHERE high_points = "danny granger (32)" | SELECT "date" FROM "table_name_56" WHERE "danny granger (32)" = "high_points" | 0.075195 |
CREATE TABLE table_605 ("Word number" CLOB, "The Basque of the glossary" CLOB, "Modern Basque" CLOB, "The Icelandic of the glossary" CLOB, "English translation" CLOB)
| What is the iclandic of the glossary for presenta for mi locaria | SELECT "The Icelandic of the glossary" FROM table_605 WHERE "The Basque of the glossary" = 'presenta for mi locaria' | SELECT "The Icelandic of the glossary" FROM "table_605" WHERE "The Basque of the glossary" = 'presenta for mi locaria' | 0.115234 |
CREATE TABLE table_41917 ("Series" CLOB, "Host" CLOB, "Launch date" CLOB, "Finale date" CLOB, "Days" FLOAT, "Winner" CLOB, "Prize" CLOB)
| What is Series, when Days is greater than 99, and when Prize is 50,000? | SELECT "Series" FROM table_41917 WHERE "Days" > '99' AND "Prize" = '€50,000' | SELECT "Series" FROM "table_41917" WHERE "Days" > '99' AND "Prize" = '€50,000' | 0.076172 |
CREATE TABLE table_27588823_2 (frequency VARCHAR2, location VARCHAR2)
| What is the frequency of the station located in polangui, albay? | SELECT frequency FROM table_27588823_2 WHERE location = "Polangui, Albay" | SELECT "frequency" FROM "table_27588823_2" WHERE "Polangui, Albay" = "location" | 0.077148 |
CREATE TABLE table_47509 ("Team A" CLOB, "Team C" CLOB, "Team D" CLOB, "Team E" CLOB, "Team F" CLOB)
| Who is Team A when wilma hofschneider-david is team C? | SELECT "Team A" FROM table_47509 WHERE "Team C" = 'wilma hofschneider-david' | SELECT "Team A" FROM "table_47509" WHERE "Team C" = 'wilma hofschneider-david' | 0.076172 |
CREATE TABLE table_name_41 (venue VARCHAR2, date VARCHAR2)
| What is the venue of the game that was played on 23 October 1966? | SELECT venue FROM table_name_41 WHERE date = "23 october 1966" | SELECT "venue" FROM "table_name_41" WHERE "23 october 1966" = "date" | 0.066406 |
CREATE TABLE table_name_36 (date VARCHAR2, attendance VARCHAR2)
| On what date was the attendance 17,136? | SELECT date FROM table_name_36 WHERE attendance = "17,136" | SELECT "date" FROM "table_name_36" WHERE "17,136" = "attendance" | 0.0625 |
CREATE TABLE table_name_60 (date VARCHAR2, venue VARCHAR2, opponent VARCHAR2)
| What day was the game held at Firhill against AYR United? | SELECT date FROM table_name_60 WHERE venue = "firhill" AND opponent = "ayr united" | SELECT "date" FROM "table_name_60" WHERE "ayr united" = "opponent" AND "firhill" = "venue" | 0.087891 |
CREATE TABLE table_17939 ("Year" CLOB, "Championship" CLOB, "54 holes" CLOB, "Winning score" CLOB, "Margin" CLOB, "Runner ( s ) -up" CLOB)
| What was the winning score of the PGA Championship (3)? | SELECT "Winning score" FROM table_17939 WHERE "Championship" = 'PGA Championship (3)' | SELECT "Winning score" FROM "table_17939" WHERE "Championship" = 'PGA Championship (3)' | 0.084961 |
CREATE TABLE table_22355_23 (total_min_2_medals_ NUMBER)
| What is the least amount of total medals won? | SELECT MIN(total_min_2_medals_) FROM table_22355_23 | SELECT MIN("total_min_2_medals_") FROM "table_22355_23" | 0.053711 |
CREATE TABLE table_name_1 (series VARCHAR2, release_date VARCHAR2)
| What is the Series of the Filmography with Release date of 1946-01-05? | SELECT series FROM table_name_1 WHERE release_date = "1946-01-05" | SELECT "series" FROM "table_name_1" WHERE "1946-01-05" = "release_date" | 0.069336 |
CREATE TABLE table_203_545 (id NUMBER, "single/ep" CLOB, "release date" CLOB, "label" CLOB, "format ( s ) " CLOB, "uk singles chart position" NUMBER, "notes" CLOB)
| what are the number of times jive records is listed as the label ? | SELECT COUNT(*) FROM table_203_545 WHERE "label" = 'jive records' | SELECT COUNT(*) FROM "table_203_545" WHERE "label" = 'jive records' | 0.06543 |
CREATE TABLE ReviewTaskStates (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId NUMBER)
CREATE TABLE PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId 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 PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
CREATE TABLE PostTypes (Id NUMBER, Name CLOB)
CREATE TABLE Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
CREATE TABLE CloseReasonTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PendingFlags (Id NUMBER, FlagTypeId NUMBER, PostId NUMBER, CreationDate TIME, CloseReasonTypeId NUMBER, CloseAsOffTopicReasonTypeId NUMBER, DuplicateOfQuestionId NUMBER, BelongsOnBaseHostAddress CLOB)
CREATE TABLE Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount NUMBER)
CREATE TABLE PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId NUMBER)
CREATE TABLE FlagTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId 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 VoteTypes (Id NUMBER, Name 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 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 Users (Id NUMBER, Reputation NUMBER, CreationDate TIME, DisplayName CLOB, LastAccessDate TIME, WebsiteUrl CLOB, Location CLOB, AboutMe CLOB, Views NUMBER, UpVotes NUMBER, DownVotes NUMBER, ProfileImageUrl CLOB, EmailHash CLOB, AccountId NUMBER)
CREATE TABLE CloseAsOffTopicReasonTypes (Id NUMBER, IsUniversal BOOLEAN, InputTitle CLOB, MarkdownInputGuidance CLOB, MarkdownPostOwnerGuidance CLOB, MarkdownPrivilegedUserGuidance CLOB, MarkdownConcensusDescription CLOB, CreationDate TIME, CreationModeratorId NUMBER, ApprovalDate TIME, ApprovalModeratorId NUMBER, DeactivationDate TIME, DeactivationModeratorId NUMBER)
CREATE TABLE 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 PostTags (PostId NUMBER, TagId 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 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 ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId NUMBER)
CREATE TABLE ReviewTaskTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
| Questions with only the API tag. | SELECT Id AS "post_link", CreationDate FROM Posts WHERE PostTypeId = 1 AND Tags = '<api>' | SELECT "Id" AS "post_link", "CreationDate" FROM "Posts" WHERE "PostTypeId" = 1 AND "Tags" = '<api>' | 0.09668 |
CREATE TABLE table_14496 ("Team" CLOB, "Games Played" FLOAT, "Wins" FLOAT, "Losses" FLOAT, "Ties" FLOAT, "Goals For" FLOAT, "Goals Against" FLOAT)
| for goals less than 48 and 8 games played what is the count of losses? | SELECT MAX("Losses") FROM table_14496 WHERE "Games Played" = '8' AND "Goals For" < '48' | SELECT MAX("Losses") FROM "table_14496" WHERE "Games Played" = '8' AND "Goals For" < '48' | 0.086914 |
CREATE TABLE wine (No NUMBER, Grape CLOB, Winery CLOB, Appelation CLOB, State CLOB, Name CLOB, Year NUMBER, Price NUMBER, Score NUMBER, Cases NUMBER, Drink CLOB)
CREATE TABLE grapes (ID NUMBER, Grape CLOB, Color CLOB)
CREATE TABLE appellations (No NUMBER, Appelation CLOB, County CLOB, State CLOB, Area CLOB, isAVA CLOB)
| A bar chart about how many wines are there for each grape?, sort in ascending by the Grape. | SELECT Grape, COUNT(*) FROM wine GROUP BY Grape ORDER BY Grape | SELECT "Grape", COUNT(*) FROM "wine" GROUP BY "Grape" ORDER BY "Grape" | 0.068359 |
CREATE TABLE table_name_58 (losses NUMBER, draws VARCHAR2, played VARCHAR2)
| Name the average losses for draws larger than 6 and played more than 38 | SELECT AVG(losses) FROM table_name_58 WHERE draws > 6 AND played > 38 | SELECT AVG("losses") FROM "table_name_58" WHERE "draws" > 6 AND "played" > 38 | 0.075195 |
CREATE TABLE table_44312 ("Place" CLOB, "Player" CLOB, "Country" CLOB, "Score" FLOAT, "To par" CLOB)
| What is the lowest Score when the Country is canada? | SELECT MIN("Score") FROM table_44312 WHERE "Country" = 'canada' | SELECT MIN("Score") FROM "table_44312" WHERE "Country" = 'canada' | 0.063477 |
CREATE TABLE constructorResults (constructorResultsId NUMBER, raceId NUMBER, constructorId NUMBER, points FLOAT, status CLOB)
CREATE TABLE drivers (driverId NUMBER, driverRef CLOB, number CLOB, code CLOB, forename CLOB, surname CLOB, dob CLOB, nationality CLOB, url CLOB)
CREATE TABLE races (raceId NUMBER, year NUMBER, round NUMBER, circuitId NUMBER, name CLOB, date CLOB, time CLOB, url CLOB)
CREATE TABLE constructors (constructorId NUMBER, constructorRef CLOB, name CLOB, nationality CLOB, url CLOB)
CREATE TABLE seasons (year NUMBER, url CLOB)
CREATE TABLE lapTimes (raceId NUMBER, driverId NUMBER, lap NUMBER, position NUMBER, time CLOB, milliseconds NUMBER)
CREATE TABLE status (statusId NUMBER, status CLOB)
CREATE TABLE circuits (circuitId NUMBER, circuitRef CLOB, name CLOB, location CLOB, country CLOB, lat FLOAT, lng FLOAT, alt CLOB, url CLOB)
CREATE TABLE driverStandings (driverStandingsId NUMBER, raceId NUMBER, driverId NUMBER, points FLOAT, position NUMBER, positionText CLOB, wins NUMBER)
CREATE TABLE constructorStandings (constructorStandingsId NUMBER, raceId NUMBER, constructorId NUMBER, points FLOAT, position NUMBER, positionText CLOB, wins NUMBER)
CREATE TABLE results (resultId NUMBER, raceId NUMBER, driverId NUMBER, constructorId NUMBER, number NUMBER, grid NUMBER, position CLOB, positionText CLOB, positionOrder NUMBER, points FLOAT, laps CLOB, time CLOB, milliseconds CLOB, fastestLap CLOB, rank CLOB, fastestLapTime CLOB, fastestLapSpeed CLOB, statusId NUMBER)
CREATE TABLE pitStops (raceId NUMBER, driverId NUMBER, stop NUMBER, lap NUMBER, time CLOB, duration CLOB, milliseconds NUMBER)
CREATE TABLE qualifying (qualifyId NUMBER, raceId NUMBER, driverId NUMBER, constructorId NUMBER, number NUMBER, position NUMBER, q1 CLOB, q2 CLOB, q3 CLOB)
| What are the names of all races held between 2009 and 2011, and count them by a bar chart, and order in descending by the X please. | SELECT name, COUNT(name) FROM races WHERE year BETWEEN 2009 AND 2011 GROUP BY name ORDER BY name DESC | SELECT "name", COUNT("name") FROM "races" WHERE "year" <= 2011 AND "year" >= 2009 GROUP BY "name" ORDER BY "name" DESC | 0.115234 |
CREATE TABLE comment_instructor (instructor_id NUMBER, student_id NUMBER, score NUMBER, comment_text 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 gsi (course_offering_id NUMBER, student_id NUMBER)
CREATE TABLE offering_instructor (offering_instructor_id NUMBER, offering_id NUMBER, instructor_id NUMBER)
CREATE TABLE requirement (requirement_id NUMBER, requirement VARCHAR2, college VARCHAR2)
CREATE TABLE program_requirement (program_id NUMBER, category VARCHAR2, min_credit NUMBER, additional_req VARCHAR2)
CREATE TABLE program_course (program_id NUMBER, course_id NUMBER, workload NUMBER, category VARCHAR2)
CREATE TABLE instructor (instructor_id NUMBER, name VARCHAR2, uniqname VARCHAR2)
CREATE TABLE ta (campus_job_id NUMBER, student_id NUMBER, location VARCHAR2)
CREATE TABLE jobs (job_id NUMBER, job_title VARCHAR2, description VARCHAR2, requirement VARCHAR2, city VARCHAR2, state VARCHAR2, country VARCHAR2, zip NUMBER)
CREATE TABLE program (program_id NUMBER, name VARCHAR2, college VARCHAR2, introduction 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 course_offering (offering_id NUMBER, course_id NUMBER, semester NUMBER, section_number NUMBER, start_time TIME, end_time TIME, monday VARCHAR2, tuesday VARCHAR2, wednesday VARCHAR2, thursday VARCHAR2, friday VARCHAR2, saturday VARCHAR2, sunday VARCHAR2, has_final_project VARCHAR2, has_final_exam VARCHAR2, textbook VARCHAR2, class_address VARCHAR2, allow_audit VARCHAR2)
CREATE TABLE course_tags_count (course_id NUMBER, clear_grading NUMBER, pop_quiz NUMBER, group_projects NUMBER, inspirational NUMBER, long_lectures NUMBER, extra_credit NUMBER, few_tests NUMBER, good_feedback NUMBER, tough_tests NUMBER, heavy_papers NUMBER, cares_for_students NUMBER, heavy_assignments NUMBER, respected NUMBER, participation NUMBER, heavy_reading NUMBER, tough_grader NUMBER, hilarious NUMBER, would_take_again NUMBER, good_lecture NUMBER, no_skip NUMBER)
CREATE TABLE student (student_id NUMBER, lastname VARCHAR2, firstname VARCHAR2, program_id NUMBER, declare_major VARCHAR2, total_credit NUMBER, total_gpa FLOAT, entered_as VARCHAR2, admit_term NUMBER, predicted_graduation_semester NUMBER, degree VARCHAR2, minor VARCHAR2, internship VARCHAR2)
CREATE TABLE course_prerequisite (pre_course_id NUMBER, course_id NUMBER)
CREATE TABLE area (course_id NUMBER, area VARCHAR2)
CREATE TABLE semester (semester_id NUMBER, semester VARCHAR2, year NUMBER)
| What grades have I gotten in courses taught by Prof. Heather Southard ? | SELECT DISTINCT student_record.grade FROM student_record INNER JOIN offering_instructor ON student_record.offering_id = offering_instructor.offering_id INNER JOIN instructor ON offering_instructor.instructor_id = instructor.instructor_id WHERE LOWER(instructor.name) LIKE '%Heather Southard%' AND student_record.student_id = 1 | SELECT DISTINCT "student_record"."grade" FROM "student_record" JOIN "offering_instructor" ON "offering_instructor"."offering_id" = "student_record"."offering_id" JOIN "instructor" ON "instructor"."instructor_id" = "offering_instructor"."instructor_id" AND LOWER("instructor"."name") LIKE '%Heather Southard%' WHERE "student_record"."student_id" = 1 | 0.339844 |
CREATE TABLE table_48453 ("Game" FLOAT, "Date" CLOB, "Team" CLOB, "Score" CLOB, "Location Attendance" CLOB, "Record" CLOB)
| What is the average game number when the record is 4-1? | SELECT AVG("Game") FROM table_48453 WHERE "Record" = '4-1' | SELECT AVG("Game") FROM "table_48453" WHERE "Record" = '4-1' | 0.058594 |
CREATE TABLE table_68616 ("Year" CLOB, "English title" CLOB, "Original title" CLOB, "Country" CLOB, "Director" CLOB)
| What is the English title for Ansikte Mot Ansikte? | SELECT "English title" FROM table_68616 WHERE "Original title" = 'ansikte mot ansikte' | SELECT "English title" FROM "table_68616" WHERE "Original title" = 'ansikte mot ansikte' | 0.085938 |
CREATE TABLE table_71701 ("Name" CLOB, "Years" CLOB, "Gender" CLOB, "Area" CLOB, "Authority" CLOB, "Decile" FLOAT, "Roll" FLOAT)
| Name the authority for morrinsville college | SELECT "Authority" FROM table_71701 WHERE "Name" = 'morrinsville college' | SELECT "Authority" FROM "table_71701" WHERE "Name" = 'morrinsville college' | 0.073242 |
CREATE TABLE table_name_10 (silver VARCHAR2, bronze NUMBER)
| What is the number of silver when bronze is less than 0? | SELECT COUNT(silver) FROM table_name_10 WHERE bronze < 0 | SELECT COUNT("silver") FROM "table_name_10" WHERE "bronze" < 0 | 0.060547 |
CREATE TABLE table_25688 ("Episode Number" CLOB, "Title" CLOB, "Villains" CLOB, "Director" CLOB, "Writer" CLOB, "Original airdate" CLOB)
| Who are the villains in 'the others'? | SELECT "Villains" FROM table_25688 WHERE "Title" = 'The Others' | SELECT "Villains" FROM "table_25688" WHERE "Title" = 'The Others' | 0.063477 |
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
| what is days of hospital stay of subject name kelly gallardo? | SELECT demographic.days_stay FROM demographic WHERE demographic.name = "Kelly Gallardo" | SELECT "demographic"."days_stay" FROM "demographic" WHERE "Kelly Gallardo" = "demographic"."name" | 0.094727 |
CREATE TABLE table_24192031_2 (age VARCHAR2, height VARCHAR2)
| How old is the person with the height of m (ft 3 4 in)? | SELECT age FROM table_24192031_2 WHERE height = "m (ft 3⁄4 in)" | SELECT "age" FROM "table_24192031_2" WHERE "height" = "m (ft 3⁄4 in)" | 0.067383 |
CREATE TABLE weather (date CLOB, max_temperature_f NUMBER, mean_temperature_f NUMBER, min_temperature_f NUMBER, max_dew_point_f NUMBER, mean_dew_point_f NUMBER, min_dew_point_f NUMBER, max_humidity NUMBER, mean_humidity NUMBER, min_humidity NUMBER, max_sea_level_pressure_inches NUMBER, mean_sea_level_pressure_inches NUMBER, min_sea_level_pressure_inches NUMBER, max_visibility_miles NUMBER, mean_visibility_miles NUMBER, min_visibility_miles NUMBER, max_wind_Speed_mph NUMBER, mean_wind_speed_mph NUMBER, max_gust_speed_mph NUMBER, precipitation_inches NUMBER, cloud_cover NUMBER, events CLOB, wind_dir_degrees NUMBER, zip_code NUMBER)
CREATE TABLE trip (id NUMBER, duration NUMBER, start_date CLOB, start_station_name CLOB, start_station_id NUMBER, end_date CLOB, end_station_name CLOB, end_station_id NUMBER, bike_id NUMBER, subscription_type CLOB, zip_code NUMBER)
CREATE TABLE station (id NUMBER, name CLOB, lat NUMBER, long NUMBER, dock_count NUMBER, city CLOB, installation_date CLOB)
CREATE TABLE status (station_id NUMBER, bikes_available NUMBER, docks_available NUMBER, time CLOB)
| Count those days for each year and in which zip code was the min dew point lower than any day in zip code 94107 using a bar graph. | SELECT date, COUNT(date) FROM weather WHERE min_dew_point_f < (SELECT MIN(min_dew_point_f) FROM weather WHERE zip_code = 94107) | SELECT "date", COUNT("date") FROM "weather" WHERE "min_dew_point_f" < (SELECT MIN("min_dew_point_f") FROM "weather" WHERE "zip_code" = 94107) | 0.137695 |
CREATE TABLE ReviewTaskStates (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId NUMBER)
CREATE TABLE PostTypes (Id NUMBER, Name CLOB)
CREATE TABLE ReviewTaskResultTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PendingFlags (Id NUMBER, FlagTypeId NUMBER, PostId NUMBER, CreationDate TIME, CloseReasonTypeId NUMBER, CloseAsOffTopicReasonTypeId NUMBER, DuplicateOfQuestionId NUMBER, BelongsOnBaseHostAddress CLOB)
CREATE TABLE 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 TagSynonyms (Id NUMBER, SourceTagName CLOB, TargetTagName CLOB, CreationDate TIME, OwnerUserId NUMBER, AutoRenameCount NUMBER, LastAutoRename TIME, Score NUMBER, ApprovedByUserId NUMBER, ApprovalDate TIME)
CREATE TABLE ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId NUMBER)
CREATE TABLE 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 CloseReasonTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE SuggestedEditVotes (Id NUMBER, SuggestedEditId NUMBER, UserId NUMBER, VoteTypeId NUMBER, CreationDate TIME, TargetUserId NUMBER, TargetRepChange NUMBER)
CREATE TABLE PostTags (PostId NUMBER, TagId NUMBER)
CREATE TABLE Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
CREATE TABLE ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
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 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 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 VoteTypes (Id NUMBER, Name CLOB)
CREATE TABLE PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId NUMBER)
CREATE TABLE Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
CREATE TABLE PostHistoryTypes (Id NUMBER, Name CLOB)
CREATE TABLE Users (Id NUMBER, Reputation NUMBER, CreationDate TIME, DisplayName CLOB, LastAccessDate TIME, WebsiteUrl CLOB, Location CLOB, AboutMe CLOB, Views NUMBER, UpVotes NUMBER, DownVotes NUMBER, ProfileImageUrl CLOB, EmailHash CLOB, AccountId NUMBER)
CREATE TABLE FlagTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE CloseAsOffTopicReasonTypes (Id NUMBER, IsUniversal BOOLEAN, InputTitle CLOB, MarkdownInputGuidance CLOB, MarkdownPostOwnerGuidance CLOB, MarkdownPrivilegedUserGuidance CLOB, MarkdownConcensusDescription CLOB, CreationDate TIME, CreationModeratorId NUMBER, ApprovalDate TIME, ApprovalModeratorId NUMBER, DeactivationDate TIME, DeactivationModeratorId NUMBER)
CREATE TABLE 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 PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
| Suggested edits which are possibly affected by rollback bug. | SELECT e.PostId AS "post_link" FROM SuggestedEdits AS e INNER JOIN PostHistory AS th ON e.PostId = th.PostId AND e.ApprovalDate = th.CreationDate LEFT OUTER JOIN PostHistory AS h ON e.PostId = h.PostId AND e.ApprovalDate = h.CreationDate AND e.OwnerUserId = h.UserId AND h.PostHistoryTypeId IN (4, 5) WHERE th.PostHistoryTypeId = 6 AND h.Id IS NULL AND e.ApprovalDate >= '2016-12-01' AND e.PostId = 40356855 | SELECT "e"."PostId" AS "post_link" FROM "SuggestedEdits" "e" LEFT JOIN "PostHistory" "h" ON "e"."ApprovalDate" = "h"."CreationDate" AND "e"."OwnerUserId" = "h"."UserId" AND "e"."PostId" = "h"."PostId" AND "h"."PostHistoryTypeId" IN (4, 5) JOIN "PostHistory" "th" ON "e"."ApprovalDate" = "th"."CreationDate" AND "e"."PostId" = "th"."PostId" AND "th"."PostHistoryTypeId" = 6 WHERE "e"."ApprovalDate" >= '2016-12-01' AND "e"."PostId" = 40356855 AND "h"."Id" IS NULL | 0.451172 |
CREATE TABLE CloseReasonTypes (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 PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
CREATE TABLE ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId NUMBER)
CREATE TABLE ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
CREATE TABLE ReviewTaskStates (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
CREATE TABLE Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
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 PostHistoryTypes (Id NUMBER, Name CLOB)
CREATE TABLE VoteTypes (Id NUMBER, Name CLOB)
CREATE TABLE PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId NUMBER)
CREATE TABLE SuggestedEditVotes (Id NUMBER, SuggestedEditId NUMBER, UserId NUMBER, VoteTypeId NUMBER, CreationDate TIME, TargetUserId NUMBER, TargetRepChange NUMBER)
CREATE TABLE ReviewTaskTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE SuggestedEdits (Id NUMBER, PostId NUMBER, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId NUMBER, Comment CLOB, Text CLOB, Title CLOB, Tags CLOB, RevisionGUID other)
CREATE TABLE ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment CLOB)
CREATE TABLE FlagTypes (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 PostsWithDeleted (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE CloseAsOffTopicReasonTypes (Id NUMBER, IsUniversal BOOLEAN, InputTitle CLOB, MarkdownInputGuidance CLOB, MarkdownPostOwnerGuidance CLOB, MarkdownPrivilegedUserGuidance CLOB, MarkdownConcensusDescription CLOB, CreationDate TIME, CreationModeratorId NUMBER, ApprovalDate TIME, ApprovalModeratorId NUMBER, DeactivationDate TIME, DeactivationModeratorId NUMBER)
CREATE TABLE Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId 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 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 TagSynonyms (Id NUMBER, SourceTagName CLOB, TargetTagName CLOB, CreationDate TIME, OwnerUserId NUMBER, AutoRenameCount NUMBER, LastAutoRename TIME, Score NUMBER, ApprovedByUserId NUMBER, ApprovalDate TIME)
CREATE TABLE Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount NUMBER)
CREATE TABLE PostTypes (Id NUMBER, Name CLOB)
| select count(id) from posts where tags contains 'golang' or 'go'. | SELECT COUNT(Id) FROM Posts WHERE (Tags LIKE '%c%' OR Tags LIKE '%c++%') AND Body LIKE '%<code>%' | SELECT COUNT("Id") FROM "Posts" WHERE "Body" LIKE '%<code>%' AND ("Tags" LIKE '%c%' OR "Tags" LIKE '%c++%') | 0.104492 |
CREATE TABLE prescriptions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, startdate TIME, enddate TIME, drug CLOB, dose_val_rx CLOB, dose_unit_rx CLOB, route CLOB)
CREATE TABLE d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
CREATE TABLE transfers (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, eventtype CLOB, careunit CLOB, wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE admissions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, admittime TIME, dischtime TIME, admission_type CLOB, admission_location CLOB, discharge_location CLOB, insurance CLOB, language CLOB, marital_status CLOB, ethnicity CLOB, age NUMBER)
CREATE TABLE cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE 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 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 d_labitems (row_id NUMBER, itemid NUMBER, label 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 labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
CREATE TABLE patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
| is patient 1561's level of arterial bp mean normal in the current hospital encounter? | SELECT COUNT(*) > 0 FROM chartevents WHERE chartevents.icustay_id IN (SELECT icustays.icustay_id FROM icustays WHERE icustays.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 1561 AND admissions.dischtime IS NULL)) AND chartevents.itemid IN (SELECT d_items.itemid FROM d_items WHERE d_items.label = 'arterial bp mean' AND d_items.linksto = 'chartevents') AND chartevents.valuenum BETWEEN mean_bp_lower AND mean_bp_upper | WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."dischtime" IS NULL AND "admissions"."subject_id" = 1561 GROUP BY "hadm_id"), "_u_1" AS (SELECT "icustays"."icustay_id" FROM "icustays" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "icustays"."hadm_id" WHERE NOT "_u_0"."" IS NULL GROUP BY "icustay_id"), "_u_2" AS (SELECT "d_items"."itemid" FROM "d_items" WHERE "d_items"."label" = 'arterial bp mean' AND "d_items"."linksto" = 'chartevents' GROUP BY "itemid") SELECT COUNT(*) > 0 FROM "chartevents" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "chartevents"."icustay_id" LEFT JOIN "_u_2" "_u_2" ON "_u_2"."" = "chartevents"."itemid" WHERE "chartevents"."valuenum" <= "mean_bp_upper" AND "chartevents"."valuenum" >= "mean_bp_lower" AND NOT "_u_1"."" IS NULL AND NOT "_u_2"."" IS NULL | 0.78418 |
CREATE TABLE table_77294 ("Rank" FLOAT, "City" CLOB, "2010 Pop" FLOAT, "2000 Pop" FLOAT, "\\u0394 Current Pop" FLOAT)
| What was the 2010 population of frankfort which has a rank smaller than 14? | SELECT AVG("2010 Pop") FROM table_77294 WHERE "City" = 'frankfort' AND "Rank" < '14' | SELECT AVG("2010 Pop") FROM "table_77294" WHERE "City" = 'frankfort' AND "Rank" < '14' | 0.083984 |
CREATE TABLE category (id NUMBER, business_id VARCHAR2, category_name VARCHAR2)
CREATE TABLE review (rid NUMBER, business_id VARCHAR2, user_id VARCHAR2, rating FLOAT, text TEXT, year NUMBER, month VARCHAR2)
CREATE TABLE business (bid NUMBER, business_id VARCHAR2, name VARCHAR2, full_address VARCHAR2, city VARCHAR2, latitude VARCHAR2, longitude VARCHAR2, review_count NUMBER, is_open NUMBER, rating FLOAT, state VARCHAR2)
CREATE TABLE neighborhood (id NUMBER, business_id VARCHAR2, neighborhood_name VARCHAR2)
CREATE TABLE user (uid NUMBER, user_id VARCHAR2, name VARCHAR2)
CREATE TABLE tip (tip_id NUMBER, business_id VARCHAR2, text TEXT, user_id VARCHAR2, likes NUMBER, year NUMBER, month VARCHAR2)
CREATE TABLE checkin (cid NUMBER, business_id VARCHAR2, count NUMBER, day VARCHAR2)
| How many businesses are there in the ' Stone Meadows ' neighborhood in Madison ? | SELECT COUNT(DISTINCT (business.name)) FROM business, neighborhood WHERE business.city = 'Madison' AND neighborhood.business_id = business.business_id AND neighborhood.neighborhood_name = 'Stone Meadows' | SELECT COUNT(DISTINCT "business"."name") FROM "business" JOIN "neighborhood" ON "business"."business_id" = "neighborhood"."business_id" AND "neighborhood"."neighborhood_name" = 'Stone Meadows' WHERE "business"."city" = 'Madison' | 0.222656 |
CREATE TABLE table_78048 ("Stage" CLOB, "Winner" CLOB, "General classification" CLOB, "Points classification" CLOB, "Trofeo Fast Team" CLOB)
| who is the trofeo fast team in stage 10? | SELECT "Trofeo Fast Team" FROM table_78048 WHERE "Stage" = '10' | SELECT "Trofeo Fast Team" FROM "table_78048" WHERE "Stage" = '10' | 0.063477 |
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)
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)
| Find the names of swimmers who has a result of 'win', and count them by a bar chart, could you list by the total number in ascending? | SELECT name, COUNT(name) FROM swimmer AS t1 JOIN record AS t2 ON t1.ID = t2.Swimmer_ID WHERE Result = 'Win' GROUP BY name ORDER BY COUNT(name) | SELECT "name", COUNT("name") FROM "swimmer" "t1" JOIN "record" "t2" ON "t1"."ID" = "t2"."Swimmer_ID" WHERE "Result" = 'Win' GROUP BY "name" ORDER BY COUNT("name") | 0.158203 |
CREATE TABLE table_name_52 (network VARCHAR2, call_sign VARCHAR2, virtual_channel VARCHAR2)
| Call sign of k33ln-ld, and a Virtual channel of 33.5 is what network? | SELECT network FROM table_name_52 WHERE call_sign = "k33ln-ld" AND virtual_channel = "33.5" | SELECT "network" FROM "table_name_52" WHERE "33.5" = "virtual_channel" AND "call_sign" = "k33ln-ld" | 0.09668 |
CREATE TABLE table_66713 ("Year" CLOB, "Finish" CLOB, "Team" CLOB, "Tournament" CLOB, "Role" CLOB)
| In what Year was the Finish Champions? | SELECT "Year" FROM table_66713 WHERE "Finish" = 'champions' | SELECT "Year" FROM "table_66713" WHERE "Finish" = 'champions' | 0.05957 |
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 lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime TIME)
CREATE TABLE patient (uniquepid CLOB, patienthealthsystemstayid NUMBER, patientunitstayid NUMBER, gender CLOB, age CLOB, ethnicity CLOB, hospitalid NUMBER, wardid NUMBER, admissionheight NUMBER, admissionweight NUMBER, dischargeweight NUMBER, hospitaladmittime TIME, hospitaladmitsource CLOB, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus CLOB)
CREATE TABLE microlab (microlabid NUMBER, patientunitstayid NUMBER, culturesite CLOB, organism CLOB, culturetakentime TIME)
CREATE TABLE diagnosis (diagnosisid NUMBER, patientunitstayid NUMBER, diagnosisname CLOB, diagnosistime TIME, icd9code CLOB)
CREATE TABLE intakeoutput (intakeoutputid NUMBER, patientunitstayid NUMBER, cellpath CLOB, celllabel CLOB, cellvaluenumeric NUMBER, intakeoutputtime TIME)
CREATE TABLE cost (costid NUMBER, uniquepid CLOB, patienthealthsystemstayid NUMBER, eventtype CLOB, eventid NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE treatment (treatmentid NUMBER, patientunitstayid NUMBER, treatmentname CLOB, treatmenttime TIME)
CREATE TABLE allergy (allergyid NUMBER, patientunitstayid NUMBER, drugname CLOB, allergyname CLOB, allergytime TIME)
| what were the top four most frequent specimen tests given to patients within the same month after the diagnosis of facial bone fracture in 2105? | SELECT t3.culturesite FROM (SELECT t2.culturesite, DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS c1 FROM (SELECT patient.uniquepid, diagnosis.diagnosistime FROM diagnosis JOIN patient ON diagnosis.patientunitstayid = patient.patientunitstayid WHERE diagnosis.diagnosisname = 'facial bone fracture' AND STRFTIME('%y', diagnosis.diagnosistime) = '2105') AS t1 JOIN (SELECT patient.uniquepid, microlab.culturesite, microlab.culturetakentime FROM microlab JOIN patient ON microlab.patientunitstayid = patient.patientunitstayid WHERE STRFTIME('%y', microlab.culturetakentime) = '2105') AS t2 ON t1.uniquepid = t2.uniquepid WHERE t1.diagnosistime < t2.culturetakentime AND DATETIME(t1.diagnosistime, 'start of month') = DATETIME(t2.culturetakentime, 'start of month') GROUP BY t2.culturesite) AS t3 WHERE t3.c1 <= 4 | WITH "t2" AS (SELECT "patient"."uniquepid", "microlab"."culturesite", "microlab"."culturetakentime" FROM "microlab" JOIN "patient" ON "microlab"."patientunitstayid" = "patient"."patientunitstayid" WHERE STRFTIME('%y', "microlab"."culturetakentime") = '2105'), "t3" AS (SELECT "t2"."culturesite", DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS "c1" FROM "diagnosis" JOIN "patient" ON "diagnosis"."patientunitstayid" = "patient"."patientunitstayid" JOIN "t2" "t2" ON "diagnosis"."diagnosistime" < "t2"."culturetakentime" AND "patient"."uniquepid" = "t2"."uniquepid" AND DATETIME("diagnosis"."diagnosistime", 'start of month') = DATETIME("t2"."culturetakentime", 'start of month') WHERE "diagnosis"."diagnosisname" = 'facial bone fracture' AND STRFTIME('%y', "diagnosis"."diagnosistime") = '2105' GROUP BY "t2"."culturesite") SELECT "t3"."culturesite" FROM "t3" "t3" WHERE "t3"."c1" <= 4 | 0.862305 |
CREATE TABLE diagnosis (diagnosisid NUMBER, patientunitstayid NUMBER, diagnosisname CLOB, diagnosistime TIME, icd9code CLOB)
CREATE TABLE treatment (treatmentid NUMBER, patientunitstayid NUMBER, treatmentname CLOB, treatmenttime TIME)
CREATE TABLE cost (costid NUMBER, uniquepid CLOB, patienthealthsystemstayid NUMBER, eventtype CLOB, eventid NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE vitalperiodic (vitalperiodicid NUMBER, patientunitstayid NUMBER, temperature NUMBER, sao2 NUMBER, heartrate NUMBER, respiration NUMBER, systemicsystolic NUMBER, systemicdiastolic NUMBER, systemicmean NUMBER, observationtime TIME)
CREATE TABLE patient (uniquepid CLOB, patienthealthsystemstayid NUMBER, patientunitstayid NUMBER, gender CLOB, age CLOB, ethnicity CLOB, hospitalid NUMBER, wardid NUMBER, admissionheight NUMBER, admissionweight NUMBER, dischargeweight NUMBER, hospitaladmittime TIME, hospitaladmitsource CLOB, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus CLOB)
CREATE TABLE intakeoutput (intakeoutputid NUMBER, patientunitstayid NUMBER, cellpath CLOB, celllabel CLOB, cellvaluenumeric NUMBER, intakeoutputtime TIME)
CREATE TABLE allergy (allergyid NUMBER, patientunitstayid NUMBER, drugname CLOB, allergyname CLOB, allergytime TIME)
CREATE TABLE medication (medicationid NUMBER, patientunitstayid NUMBER, drugname CLOB, dosage CLOB, routeadmin CLOB, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime TIME)
CREATE TABLE microlab (microlabid NUMBER, patientunitstayid NUMBER, culturesite CLOB, organism CLOB, culturetakentime TIME)
| what was the number of patients that were discharged from hospital in this year? | SELECT COUNT(DISTINCT patient.uniquepid) FROM patient WHERE NOT patient.hospitaldischargetime IS NULL AND DATETIME(patient.hospitaldischargetime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-0 year') | SELECT COUNT(DISTINCT "patient"."uniquepid") FROM "patient" WHERE DATETIME("patient"."hospitaldischargetime", 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-0 year') AND NOT "patient"."hospitaldischargetime" IS NULL | 0.225586 |
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE 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)
| calculate the average age of male patients who were born after 1821. | SELECT AVG(demographic.age) FROM demographic WHERE demographic.gender = "M" AND demographic.dob_year > "1821" | SELECT AVG("demographic"."age") FROM "demographic" WHERE "1821" < "demographic"."dob_year" AND "M" = "demographic"."gender" | 0.120117 |
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
| give me the number of patients whose ethnicity is white and admission year is less than 2154? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.ethnicity = "WHITE" AND demographic.admityear < "2154" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "2154" > "demographic"."admityear" AND "WHITE" = "demographic"."ethnicity" | 0.145508 |
CREATE TABLE vitalperiodic (vitalperiodicid NUMBER, patientunitstayid NUMBER, temperature NUMBER, sao2 NUMBER, heartrate NUMBER, respiration NUMBER, systemicsystolic NUMBER, systemicdiastolic NUMBER, systemicmean NUMBER, observationtime TIME)
CREATE TABLE cost (costid NUMBER, uniquepid CLOB, patienthealthsystemstayid NUMBER, eventtype CLOB, eventid NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime TIME)
CREATE TABLE treatment (treatmentid NUMBER, patientunitstayid NUMBER, treatmentname CLOB, treatmenttime TIME)
CREATE TABLE microlab (microlabid NUMBER, patientunitstayid NUMBER, culturesite CLOB, organism CLOB, culturetakentime TIME)
CREATE TABLE intakeoutput (intakeoutputid NUMBER, patientunitstayid NUMBER, cellpath CLOB, celllabel CLOB, cellvaluenumeric NUMBER, intakeoutputtime TIME)
CREATE TABLE medication (medicationid NUMBER, patientunitstayid NUMBER, drugname CLOB, dosage CLOB, routeadmin CLOB, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE patient (uniquepid CLOB, patienthealthsystemstayid NUMBER, patientunitstayid NUMBER, gender CLOB, age CLOB, ethnicity CLOB, hospitalid NUMBER, wardid NUMBER, admissionheight NUMBER, admissionweight NUMBER, dischargeweight NUMBER, hospitaladmittime TIME, hospitaladmitsource CLOB, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus CLOB)
CREATE TABLE diagnosis (diagnosisid NUMBER, patientunitstayid NUMBER, diagnosisname CLOB, diagnosistime TIME, icd9code CLOB)
CREATE TABLE allergy (allergyid NUMBER, patientunitstayid NUMBER, drugname CLOB, allergyname CLOB, allergytime TIME)
| when was patient 030-54262 prescribed the drug lactulose 20 gram/30 ml ud liq and ancef at the same time for the last time since 160 months ago? | SELECT t1.drugstarttime FROM (SELECT patient.uniquepid, medication.drugstarttime FROM medication JOIN patient ON medication.patientunitstayid = patient.patientunitstayid WHERE medication.drugname = 'lactulose 20 gram/30 ml ud liq' AND patient.uniquepid = '030-54262' AND DATETIME(medication.drugstarttime) >= DATETIME(CURRENT_TIME(), '-160 month')) AS t1 JOIN (SELECT patient.uniquepid, medication.drugstarttime FROM medication JOIN patient ON medication.patientunitstayid = patient.patientunitstayid WHERE medication.drugname = 'ancef' AND patient.uniquepid = '030-54262' AND DATETIME(medication.drugstarttime) >= DATETIME(CURRENT_TIME(), '-160 month')) AS t2 ON t1.uniquepid = t2.uniquepid WHERE DATETIME(t1.drugstarttime) = DATETIME(t2.drugstarttime) ORDER BY t1.drugstarttime DESC LIMIT 1 | WITH "t2" AS (SELECT "patient"."uniquepid", "medication"."drugstarttime" FROM "medication" JOIN "patient" ON "medication"."patientunitstayid" = "patient"."patientunitstayid" AND "patient"."uniquepid" = '030-54262' WHERE "medication"."drugname" = 'ancef' AND DATETIME("medication"."drugstarttime") >= DATETIME(CURRENT_TIME(), '-160 month')) SELECT "medication"."drugstarttime" FROM "medication" JOIN "patient" ON "medication"."patientunitstayid" = "patient"."patientunitstayid" AND "patient"."uniquepid" = '030-54262' JOIN "t2" "t2" ON "patient"."uniquepid" = "t2"."uniquepid" AND DATETIME("medication"."drugstarttime") = DATETIME("t2"."drugstarttime") WHERE "medication"."drugname" = 'lactulose 20 gram/30 ml ud liq' AND DATETIME("medication"."drugstarttime") >= DATETIME(CURRENT_TIME(), '-160 month') ORDER BY "medication"."drugstarttime" DESC FETCH FIRST 1 ROWS ONLY | 0.847656 |
CREATE TABLE table_name_45 (appointed_by VARCHAR2, presentation_of_credentials VARCHAR2)
| Which Appointed has a Presentation of Credentials on November 22, 1990 | SELECT appointed_by FROM table_name_45 WHERE presentation_of_credentials = "november 22, 1990" | SELECT "appointed_by" FROM "table_name_45" WHERE "november 22, 1990" = "presentation_of_credentials" | 0.097656 |
CREATE TABLE table_name_41 (attendance NUMBER, score VARCHAR2)
| What is the sum of the attendance where the score was 1:1? | SELECT SUM(attendance) FROM table_name_41 WHERE score = "1:1" | SELECT SUM("attendance") FROM "table_name_41" WHERE "1:1" = "score" | 0.06543 |
CREATE TABLE table_59830 ("Date" CLOB, "Round" CLOB, "Opponent" CLOB, "Venue" CLOB, "Result" CLOB, "Attendance" FLOAT)
| What is the total attendance with a 1-0 result, at Venue H, and Round SF? | SELECT SUM("Attendance") FROM table_59830 WHERE "Result" = '1-0' AND "Venue" = 'h' AND "Round" = 'sf' | SELECT SUM("Attendance") FROM "table_59830" WHERE "Result" = '1-0' AND "Round" = 'sf' AND "Venue" = 'h' | 0.100586 |
CREATE TABLE table_15187735_12 (netflix VARCHAR2, segment_d VARCHAR2)
| What is the Netflix where Segment D is pressure gauges ? | SELECT netflix FROM table_15187735_12 WHERE segment_d = "Pressure Gauges" | SELECT "netflix" FROM "table_15187735_12" WHERE "Pressure Gauges" = "segment_d" | 0.077148 |
CREATE TABLE table_25655781_17 (sprint_classification VARCHAR2, winner VARCHAR2)
| How many sprint classifications are there where marco frapporti is the winner? | SELECT COUNT(sprint_classification) FROM table_25655781_17 WHERE winner = "Marco Frapporti" | SELECT COUNT("sprint_classification") FROM "table_25655781_17" WHERE "Marco Frapporti" = "winner" | 0.094727 |
CREATE TABLE table_name_79 (iata VARCHAR2, airport VARCHAR2)
| What is the IATA for Gatwick airport? | SELECT iata FROM table_name_79 WHERE airport = "gatwick airport" | SELECT "iata" FROM "table_name_79" WHERE "airport" = "gatwick airport" | 0.068359 |
CREATE TABLE table_15269 ("Date" CLOB, "Visitor" CLOB, "Score" CLOB, "Home" CLOB, "Decision" CLOB, "Attendance" FLOAT, "Record" CLOB)
| When has an Attendance larger than 20,066 in tampa bay? | SELECT "Date" FROM table_15269 WHERE "Attendance" > '20,066' AND "Home" = 'tampa bay' | SELECT "Date" FROM "table_15269" WHERE "Attendance" > '20,066' AND "Home" = 'tampa bay' | 0.084961 |
CREATE TABLE regions (region_id NUMBER, region_name CLOB)
CREATE TABLE employees (employee_id NUMBER, first_name CLOB, last_name CLOB, email CLOB, phone_number CLOB, hire_date TIME, job_id CLOB, salary NUMBER, commission_pct NUMBER, manager_id NUMBER, department_id NUMBER)
CREATE TABLE jobs (job_id CLOB, job_title CLOB, min_salary NUMBER, max_salary NUMBER)
CREATE TABLE job_history (employee_id NUMBER, start_date TIME, end_date TIME, job_id CLOB, department_id NUMBER)
CREATE TABLE departments (department_id NUMBER, department_name CLOB, manager_id NUMBER, location_id NUMBER)
CREATE TABLE countries (country_id CLOB, country_name CLOB, region_id NUMBER)
CREATE TABLE locations (location_id NUMBER, street_address CLOB, postal_code CLOB, city CLOB, state_province CLOB, country_id CLOB)
| Display all the information about the department Marketing. | SELECT * FROM departments WHERE department_name = 'Marketing' | SELECT * FROM "departments" WHERE "department_name" = 'Marketing' | 0.063477 |
CREATE TABLE table_name_97 (class VARCHAR2, wheels VARCHAR2)
| What is the value for the item 'Class' when the value of the item 'Wheels' is 137? | SELECT class FROM table_name_97 WHERE wheels = 137 | SELECT "class" FROM "table_name_97" WHERE "wheels" = 137 | 0.054688 |
CREATE TABLE table_12886178_5 (club VARCHAR2, tries_for VARCHAR2)
| What club has a tries for count of 19? | SELECT club FROM table_12886178_5 WHERE tries_for = "19" | SELECT "club" FROM "table_12886178_5" WHERE "19" = "tries_for" | 0.060547 |
CREATE TABLE flight_leg (flight_id NUMBER, leg_number NUMBER, leg_flight NUMBER)
CREATE TABLE dual_carrier (main_airline VARCHAR2, low_flight_number NUMBER, high_flight_number NUMBER, dual_airline VARCHAR2, service_name CLOB)
CREATE TABLE airport_service (city_code VARCHAR2, airport_code VARCHAR2, miles_distant NUMBER, direction VARCHAR2, minutes_distant NUMBER)
CREATE TABLE time_interval (period CLOB, begin_time NUMBER, end_time NUMBER)
CREATE TABLE city (city_code VARCHAR2, city_name VARCHAR2, state_code VARCHAR2, country_name VARCHAR2, time_zone_code VARCHAR2)
CREATE TABLE flight_fare (flight_id NUMBER, fare_id NUMBER)
CREATE TABLE days (days_code VARCHAR2, day_name VARCHAR2)
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 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 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 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 aircraft (aircraft_code VARCHAR2, aircraft_description VARCHAR2, manufacturer VARCHAR2, basic_type VARCHAR2, engines NUMBER, propulsion VARCHAR2, wide_body VARCHAR2, wing_span NUMBER, length NUMBER, weight NUMBER, capacity NUMBER, pay_load NUMBER, cruising_speed NUMBER, range_miles NUMBER, pressurized VARCHAR2)
CREATE TABLE flight_stop (flight_id NUMBER, stop_number NUMBER, stop_days CLOB, stop_airport CLOB, arrival_time NUMBER, arrival_airline CLOB, arrival_flight_number NUMBER, departure_time NUMBER, departure_airline CLOB, departure_flight_number NUMBER, stop_time NUMBER)
CREATE TABLE food_service (meal_code CLOB, meal_number NUMBER, compartment CLOB, meal_description VARCHAR2)
CREATE TABLE airport (airport_code VARCHAR2, airport_name CLOB, airport_location CLOB, state_code VARCHAR2, country_name VARCHAR2, time_zone_code VARCHAR2, minimum_connect_time NUMBER)
CREATE TABLE airline (airline_code VARCHAR2, airline_name CLOB, note CLOB)
CREATE TABLE time_zone (time_zone_code CLOB, time_zone_name CLOB, hours_from_gmt NUMBER)
CREATE TABLE ground_service (city_code CLOB, airport_code CLOB, transport_type CLOB, ground_fare NUMBER)
CREATE TABLE equipment_sequence (aircraft_code_sequence VARCHAR2, aircraft_code VARCHAR2)
CREATE TABLE class_of_service (booking_class VARCHAR2, rank NUMBER, class_description CLOB)
CREATE TABLE code_description (code VARCHAR2, description CLOB)
CREATE TABLE state (state_code CLOB, state_name CLOB, country_name CLOB)
CREATE TABLE date_day (month_number NUMBER, day_number NUMBER, year NUMBER, day_name VARCHAR2)
CREATE TABLE month (month_number NUMBER, month_name CLOB)
CREATE TABLE compartment_class (compartment VARCHAR2, class_type VARCHAR2)
| please list the TW flights from LAS VEGAS to NEW YORK and fare | 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, fare, flight, flight_fare WHERE (CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'LAS VEGAS' AND CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'NEW YORK' AND flight.from_airport = AIRPORT_SERVICE_0.airport_code AND flight.to_airport = AIRPORT_SERVICE_1.airport_code) AND flight_fare.fare_id = fare.fare_id AND flight.airline_code = 'TW' AND flight.flight_id = flight_fare.flight_id | 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" = 'LAS VEGAS' JOIN "flight" ON "AIRPORT_SERVICE_0"."airport_code" = "flight"."from_airport" AND "flight"."airline_code" = 'TW' JOIN "airport_service" "AIRPORT_SERVICE_1" ON "AIRPORT_SERVICE_1"."airport_code" = "flight"."to_airport" JOIN "flight_fare" ON "flight"."flight_id" = "flight_fare"."flight_id" JOIN "city" "CITY_1" ON "AIRPORT_SERVICE_1"."city_code" = "CITY_1"."city_code" AND "CITY_1"."city_name" = 'NEW YORK' JOIN "fare" ON "fare"."fare_id" = "flight_fare"."fare_id" | 0.645508 |
CREATE TABLE ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId NUMBER)
CREATE TABLE VoteTypes (Id NUMBER, Name CLOB)
CREATE TABLE Users (Id NUMBER, Reputation NUMBER, CreationDate TIME, DisplayName CLOB, LastAccessDate TIME, WebsiteUrl CLOB, Location CLOB, AboutMe CLOB, Views NUMBER, UpVotes NUMBER, DownVotes NUMBER, ProfileImageUrl CLOB, EmailHash CLOB, AccountId NUMBER)
CREATE TABLE PostTypes (Id NUMBER, Name CLOB)
CREATE TABLE FlagTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE CloseReasonTypes (Id NUMBER, Name CLOB, Description 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 PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId 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 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 ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment CLOB)
CREATE TABLE ReviewTaskTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostHistoryTypes (Id NUMBER, Name CLOB)
CREATE TABLE ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
CREATE TABLE PendingFlags (Id NUMBER, FlagTypeId NUMBER, PostId NUMBER, CreationDate TIME, CloseReasonTypeId NUMBER, CloseAsOffTopicReasonTypeId NUMBER, DuplicateOfQuestionId NUMBER, BelongsOnBaseHostAddress CLOB)
CREATE TABLE Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount NUMBER)
CREATE TABLE Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
CREATE TABLE SuggestedEditVotes (Id NUMBER, SuggestedEditId NUMBER, UserId NUMBER, VoteTypeId NUMBER, CreationDate TIME, TargetUserId NUMBER, TargetRepChange NUMBER)
CREATE TABLE Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
CREATE TABLE PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId NUMBER)
CREATE TABLE PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId NUMBER)
CREATE TABLE TagSynonyms (Id NUMBER, SourceTagName CLOB, TargetTagName CLOB, CreationDate TIME, OwnerUserId NUMBER, AutoRenameCount NUMBER, LastAutoRename TIME, Score NUMBER, ApprovedByUserId NUMBER, ApprovalDate TIME)
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 PostTags (PostId NUMBER, TagId NUMBER)
CREATE TABLE Posts (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE PostHistory (Id NUMBER, PostHistoryTypeId NUMBER, PostId NUMBER, RevisionGUID other, CreationDate TIME, UserId NUMBER, UserDisplayName CLOB, Comment CLOB, Text CLOB, ContentLicense CLOB)
CREATE TABLE ReviewTaskResultTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Comments (Id NUMBER, PostId NUMBER, Score NUMBER, Text CLOB, CreationDate TIME, UserDisplayName CLOB, UserId NUMBER, ContentLicense CLOB)
| Posts containing a given text. | SELECT Id AS "post_link", OwnerUserId AS "user_link", CreationDate, LastActivityDate, Score, ViewCount, Body FROM Posts WHERE (Body LIKE '%##text##%') ORDER BY CreationDate DESC LIMIT 100 | SELECT "Id" AS "post_link", "OwnerUserId" AS "user_link", "CreationDate", "LastActivityDate", "Score", "ViewCount", "Body" FROM "Posts" WHERE "Body" LIKE '%##text##%' ORDER BY "CreationDate" DESC FETCH FIRST 100 ROWS ONLY | 0.21582 |
CREATE TABLE table_1341577_22 (incumbent VARCHAR2, first_elected VARCHAR2)
| Name the incumbent for first elected 1958 | SELECT incumbent FROM table_1341577_22 WHERE first_elected = 1958 | SELECT "incumbent" FROM "table_1341577_22" WHERE "first_elected" = 1958 | 0.069336 |
CREATE TABLE train (id NUMBER, train_number NUMBER, name CLOB, origin CLOB, destination CLOB, time CLOB, interval CLOB)
CREATE TABLE station (id NUMBER, network_name CLOB, services CLOB, local_authority CLOB)
CREATE TABLE route (train_id NUMBER, station_id NUMBER)
CREATE TABLE weekly_weather (station_id NUMBER, day_of_week CLOB, high_temperature NUMBER, low_temperature NUMBER, precipitation FLOAT, wind_speed_mph NUMBER)
| Stacked bar of services and how many services colored by local_authority, and order by the y axis in desc. | SELECT services, COUNT(services) FROM station GROUP BY local_authority, services ORDER BY COUNT(services) DESC | SELECT "services", COUNT("services") FROM "station" GROUP BY "local_authority", "services" ORDER BY COUNT("services") DESC | 0.119141 |
CREATE TABLE table_2655016_10 (season__number NUMBER, nick_prod__number VARCHAR2)
| What was the latest season with a nick production number of 942? | SELECT MAX(season__number) FROM table_2655016_10 WHERE nick_prod__number = 942 | SELECT MAX("season__number") FROM "table_2655016_10" WHERE "nick_prod__number" = 942 | 0.082031 |
CREATE TABLE table_name_8 (pick__number VARCHAR2, name VARCHAR2)
| What is Aundray Bruce's Pick #? | SELECT pick__number FROM table_name_8 WHERE name = "aundray bruce" | SELECT "pick__number" FROM "table_name_8" WHERE "aundray bruce" = "name" | 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 demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
| what is the number of patients whose drug type is additive and lab test name is sodium? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE prescriptions.drug_type = "ADDITIVE" AND lab.label = "Sodium" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "lab" ON "Sodium" = "lab"."label" AND "demographic"."hadm_id" = "lab"."hadm_id" JOIN "prescriptions" ON "ADDITIVE" = "prescriptions"."drug_type" AND "demographic"."hadm_id" = "prescriptions"."hadm_id" | 0.267578 |
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
| how many patients whose ethnicity is hispanic/latino - puerto rican and drug name is repaglinide? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.ethnicity = "HISPANIC/LATINO - PUERTO RICAN" AND prescriptions.drug = "Repaglinide" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "prescriptions" ON "Repaglinide" = "prescriptions"."drug" AND "demographic"."hadm_id" = "prescriptions"."hadm_id" WHERE "HISPANIC/LATINO - PUERTO RICAN" = "demographic"."ethnicity" | 0.248047 |
CREATE TABLE table_3040 ("Character" CLOB, "Original Berkeley Cast" CLOB, "Original Broadway Cast" CLOB, "Original 1st US Tour Cast" CLOB, "Original UK Cast" CLOB, "Original Tokyo / Seoul Tour Cast" CLOB, "Original 3rd US Tour Cast" CLOB)
| Who was in the original broadway cast while jake epstein was in the original 1st us tour cast? | SELECT "Original Broadway Cast" FROM table_3040 WHERE "Original 1st US Tour Cast" = 'Jake Epstein' | SELECT "Original Broadway Cast" FROM "table_3040" WHERE "Original 1st US Tour Cast" = 'Jake Epstein' | 0.097656 |
CREATE TABLE table_73872 ("Episode #" FLOAT, "Airdate" CLOB, "Movie Title and Year" CLOB, "Main Cast" CLOB, "Network TV Run Time" CLOB)
| How many runtimes does episode 53 have? | SELECT COUNT("Network TV Run Time") FROM table_73872 WHERE "Episode #" = '53' | SELECT COUNT("Network TV Run Time") FROM "table_73872" WHERE "Episode #" = '53' | 0.077148 |
CREATE TABLE Department_Stores (dept_store_id NUMBER, dept_store_chain_id NUMBER, store_name VARCHAR2, store_address VARCHAR2, store_phone VARCHAR2, store_email VARCHAR2)
CREATE TABLE Customer_Addresses (customer_id NUMBER, address_id NUMBER, date_from DATETIME, date_to DATETIME)
CREATE TABLE Products (product_id NUMBER, product_type_code VARCHAR2, product_name VARCHAR2, product_price NUMBER)
CREATE TABLE Staff (staff_id NUMBER, staff_gender VARCHAR2, staff_name VARCHAR2)
CREATE TABLE Order_Items (order_item_id NUMBER, order_id NUMBER, product_id NUMBER)
CREATE TABLE Addresses (address_id NUMBER, address_details VARCHAR2)
CREATE TABLE Departments (department_id NUMBER, dept_store_id NUMBER, department_name VARCHAR2)
CREATE TABLE Customers (customer_id NUMBER, payment_method_code VARCHAR2, customer_code VARCHAR2, customer_name VARCHAR2, customer_address VARCHAR2, customer_phone VARCHAR2, customer_email VARCHAR2)
CREATE TABLE Customer_Orders (order_id NUMBER, customer_id NUMBER, order_status_code VARCHAR2, order_date DATETIME)
CREATE TABLE Product_Suppliers (product_id NUMBER, supplier_id NUMBER, date_supplied_from DATETIME, date_supplied_to DATETIME, total_amount_purchased VARCHAR2, total_value_purchased NUMBER)
CREATE TABLE Supplier_Addresses (supplier_id NUMBER, address_id NUMBER, date_from DATETIME, date_to DATETIME)
CREATE TABLE Department_Store_Chain (dept_store_chain_id NUMBER, dept_store_chain_name VARCHAR2)
CREATE TABLE Staff_Department_Assignments (staff_id NUMBER, department_id NUMBER, date_assigned_from DATETIME, job_title_code VARCHAR2, date_assigned_to DATETIME)
CREATE TABLE Suppliers (supplier_id NUMBER, supplier_name VARCHAR2, supplier_phone VARCHAR2)
| Return the names and ids of customers who have TN in their address Show bar chart, and show bar in descending order. | SELECT customer_name, customer_id FROM Customers WHERE customer_address LIKE "%TN%" ORDER BY customer_name DESC | SELECT "customer_name", "customer_id" FROM "Customers" WHERE "customer_address" LIKE "%TN%" ORDER BY "customer_name" DESC | 0.118164 |
CREATE TABLE table_name_17 (laps NUMBER, qual VARCHAR2)
| How many laps resulted from a Qual of 165.229? | SELECT MAX(laps) FROM table_name_17 WHERE qual = "165.229" | SELECT MAX("laps") FROM "table_name_17" WHERE "165.229" = "qual" | 0.0625 |
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
| give me the number of patients less than 41 years who are categorized under chemistry lab test. | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.age < "41" AND lab."CATEGORY" = "Chemistry" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "lab" ON "Chemistry" = "lab"."CATEGORY" AND "demographic"."hadm_id" = "lab"."hadm_id" WHERE "41" > "demographic"."age" | 0.1875 |
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 prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
| look for the birthdate and gender of kelly gallardo. | SELECT demographic.dob, demographic.gender FROM demographic WHERE demographic.name = "Kelly Gallardo" | SELECT "demographic"."dob", "demographic"."gender" FROM "demographic" WHERE "Kelly Gallardo" = "demographic"."name" | 0.112305 |
CREATE TABLE station (id NUMBER, name CLOB, lat NUMBER, long NUMBER, dock_count NUMBER, city CLOB, installation_date CLOB)
CREATE TABLE status (station_id NUMBER, bikes_available NUMBER, docks_available NUMBER, time CLOB)
CREATE TABLE trip (id NUMBER, duration NUMBER, start_date CLOB, start_station_name CLOB, start_station_id NUMBER, end_date CLOB, end_station_name CLOB, end_station_id NUMBER, bike_id NUMBER, subscription_type CLOB, zip_code NUMBER)
CREATE TABLE weather (date CLOB, max_temperature_f NUMBER, mean_temperature_f NUMBER, min_temperature_f NUMBER, max_dew_point_f NUMBER, mean_dew_point_f NUMBER, min_dew_point_f NUMBER, max_humidity NUMBER, mean_humidity NUMBER, min_humidity NUMBER, max_sea_level_pressure_inches NUMBER, mean_sea_level_pressure_inches NUMBER, min_sea_level_pressure_inches NUMBER, max_visibility_miles NUMBER, mean_visibility_miles NUMBER, min_visibility_miles NUMBER, max_wind_Speed_mph NUMBER, mean_wind_speed_mph NUMBER, max_gust_speed_mph NUMBER, precipitation_inches NUMBER, cloud_cover NUMBER, events CLOB, wind_dir_degrees NUMBER, zip_code NUMBER)
| A bar chart for what are the number of the dates that have an average sea level pressure between 30.3 and 31? | SELECT date, COUNT(date) FROM weather WHERE mean_sea_level_pressure_inches BETWEEN 30.3 AND 31 | SELECT "date", COUNT("date") FROM "weather" WHERE "mean_sea_level_pressure_inches" <= 31 AND "mean_sea_level_pressure_inches" >= 30.3 | 0.129883 |
CREATE TABLE table_59542 ("Total fat" CLOB, "Saturated fat" CLOB, "Monounsaturated fat" CLOB, "Polyunsaturated fat" CLOB, "Smoke point" CLOB)
| What is the total fat when the polyunsaturated fat is 11g, and Monounsaturated fat is 73g? | SELECT "Total fat" FROM table_59542 WHERE "Polyunsaturated fat" = '11g' AND "Monounsaturated fat" = '73g' | SELECT "Total fat" FROM "table_59542" WHERE "Monounsaturated fat" = '73g' AND "Polyunsaturated fat" = '11g' | 0.104492 |
CREATE TABLE writes (paperid NUMBER, authorid NUMBER)
CREATE TABLE journal (journalid NUMBER, journalname VARCHAR2)
CREATE TABLE field (fieldid NUMBER)
CREATE TABLE dataset (datasetid NUMBER, datasetname VARCHAR2)
CREATE TABLE author (authorid NUMBER, authorname VARCHAR2)
CREATE TABLE paperdataset (paperid NUMBER, datasetid NUMBER)
CREATE TABLE paperfield (fieldid NUMBER, paperid NUMBER)
CREATE TABLE venue (venueid NUMBER, venuename VARCHAR2)
CREATE TABLE keyphrase (keyphraseid NUMBER, keyphrasename VARCHAR2)
CREATE TABLE paperkeyphrase (paperid NUMBER, keyphraseid NUMBER)
CREATE TABLE paper (paperid NUMBER, title VARCHAR2, venueid NUMBER, year NUMBER, numciting NUMBER, numcitedby NUMBER, journalid NUMBER)
CREATE TABLE cite (citingpaperid NUMBER, citedpaperid NUMBER)
| papers that were not published in the last year | SELECT DISTINCT paperid FROM paper WHERE year <> 2015 | SELECT DISTINCT "paperid" FROM "paper" WHERE "year" <> 2015 | 0.057617 |
CREATE TABLE table_name_6 (saturated_fat VARCHAR2, polyunsaturated_fat VARCHAR2)
| What is the saturated fat with 28g of polyunsaturated fat? | SELECT saturated_fat FROM table_name_6 WHERE polyunsaturated_fat = "28g" | SELECT "saturated_fat" FROM "table_name_6" WHERE "28g" = "polyunsaturated_fat" | 0.076172 |
CREATE TABLE table_63577 ("Name" CLOB, "Height" CLOB, "Weight" CLOB, "Spike" CLOB, "2008 club" CLOB)
| What Name has a 2008 Club of Sisley Treviso? | SELECT "Name" FROM table_63577 WHERE "2008 club" = 'sisley treviso' | SELECT "Name" FROM "table_63577" WHERE "2008 club" = 'sisley treviso' | 0.067383 |
CREATE TABLE table_26131768_4 (term_limited NUMBER, first_elected VARCHAR2)
| If first elected on 2003 (appt.), when was the term limited? | SELECT MIN(term_limited) FROM table_26131768_4 WHERE first_elected = "2003 (Appt.)" | SELECT MIN("term_limited") FROM "table_26131768_4" WHERE "2003 (Appt.)" = "first_elected" | 0.086914 |
CREATE TABLE table_33 ("Player" CLOB, "Total W\\u2013L" CLOB, "Singles W\\u2013L" CLOB, "Doubles W\\u2013L" CLOB, "Ties played" FLOAT, "Debut" FLOAT, "Years played" FLOAT)
| what is the maximum ties played where player is josip palada category:articles with hcards | SELECT MAX("Ties played") FROM table_33 WHERE "Player" = 'Josip Palada Category:Articles with hCards' | SELECT MAX("Ties played") FROM "table_33" WHERE "Player" = 'Josip Palada Category:Articles with hCards' | 0.100586 |
CREATE TABLE Products (product_id NUMBER, product_details VARCHAR2)
CREATE TABLE Customer_Addresses (customer_id NUMBER, address_id NUMBER, date_address_from DATETIME, address_type VARCHAR2, date_address_to DATETIME)
CREATE TABLE Customer_Contact_Channels (customer_id NUMBER, channel_code VARCHAR2, active_from_date DATETIME, active_to_date DATETIME, contact_number VARCHAR2)
CREATE TABLE Order_Items (order_id NUMBER, product_id NUMBER, order_quantity VARCHAR2)
CREATE TABLE Customers (customer_id NUMBER, payment_method VARCHAR2, customer_name VARCHAR2, date_became_customer DATETIME, other_customer_details VARCHAR2)
CREATE TABLE Customer_Orders (order_id NUMBER, customer_id NUMBER, order_status VARCHAR2, order_date DATETIME, order_details VARCHAR2)
CREATE TABLE Addresses (address_id NUMBER, address_content VARCHAR2, city VARCHAR2, zip_postcode VARCHAR2, state_province_county VARCHAR2, country VARCHAR2, other_address_details VARCHAR2)
| A bar chart for what are the number of the dates when customers with ids between 10 and 20 became customers?, rank y axis in ascending order. | SELECT date_became_customer, COUNT(date_became_customer) FROM Customers WHERE customer_id BETWEEN 10 AND 20 ORDER BY COUNT(date_became_customer) | SELECT "date_became_customer", COUNT("date_became_customer") FROM "Customers" WHERE "customer_id" <= 20 AND "customer_id" >= 10 ORDER BY COUNT("date_became_customer") | 0.162109 |
CREATE TABLE Department_Store_Chain (dept_store_chain_id NUMBER, dept_store_chain_name VARCHAR2)
CREATE TABLE Products (product_id NUMBER, product_type_code VARCHAR2, product_name VARCHAR2, product_price NUMBER)
CREATE TABLE Addresses (address_id NUMBER, address_details VARCHAR2)
CREATE TABLE Customer_Orders (order_id NUMBER, customer_id NUMBER, order_status_code VARCHAR2, order_date DATETIME)
CREATE TABLE Suppliers (supplier_id NUMBER, supplier_name VARCHAR2, supplier_phone VARCHAR2)
CREATE TABLE Staff_Department_Assignments (staff_id NUMBER, department_id NUMBER, date_assigned_from DATETIME, job_title_code VARCHAR2, date_assigned_to DATETIME)
CREATE TABLE Department_Stores (dept_store_id NUMBER, dept_store_chain_id NUMBER, store_name VARCHAR2, store_address VARCHAR2, store_phone VARCHAR2, store_email VARCHAR2)
CREATE TABLE Supplier_Addresses (supplier_id NUMBER, address_id NUMBER, date_from DATETIME, date_to DATETIME)
CREATE TABLE Product_Suppliers (product_id NUMBER, supplier_id NUMBER, date_supplied_from DATETIME, date_supplied_to DATETIME, total_amount_purchased VARCHAR2, total_value_purchased NUMBER)
CREATE TABLE Customers (customer_id NUMBER, payment_method_code VARCHAR2, customer_code VARCHAR2, customer_name VARCHAR2, customer_address VARCHAR2, customer_phone VARCHAR2, customer_email VARCHAR2)
CREATE TABLE Order_Items (order_item_id NUMBER, order_id NUMBER, product_id NUMBER)
CREATE TABLE Staff (staff_id NUMBER, staff_gender VARCHAR2, staff_name VARCHAR2)
CREATE TABLE Departments (department_id NUMBER, dept_store_id NUMBER, department_name VARCHAR2)
CREATE TABLE Customer_Addresses (customer_id NUMBER, address_id NUMBER, date_from DATETIME, date_to DATETIME)
| Return the staff ids and genders for any staff with the title Department Manager by a scatter chart. | SELECT T1.staff_id, T1.staff_gender FROM Staff AS T1 JOIN Staff_Department_Assignments AS T2 ON T1.staff_id = T2.staff_id WHERE T2.job_title_code = "Department Manager" | SELECT "T1"."staff_id", "T1"."staff_gender" FROM "Staff" "T1" JOIN "Staff_Department_Assignments" "T2" ON "Department Manager" = "T2"."job_title_code" AND "T1"."staff_id" = "T2"."staff_id" | 0.183594 |
CREATE TABLE table_45387 ("Stop no." CLOB, "Platform" CLOB, "Line" CLOB, "Stopping pattern" CLOB, "Destination" CLOB)
| Which Stopping pattern has a Platform of [2777] mciver station platforms? | SELECT "Stopping pattern" FROM table_45387 WHERE "Platform" = '[2777] mciver station platforms' | SELECT "Stopping pattern" FROM "table_45387" WHERE "Platform" = '[2777] mciver station platforms' | 0.094727 |
CREATE TABLE jobs (JOB_ID VARCHAR2, JOB_TITLE VARCHAR2, MIN_SALARY NUMBER, MAX_SALARY NUMBER)
CREATE TABLE job_history (EMPLOYEE_ID NUMBER, START_DATE DATE, END_DATE DATE, JOB_ID VARCHAR2, DEPARTMENT_ID NUMBER)
CREATE TABLE locations (LOCATION_ID NUMBER, STREET_ADDRESS VARCHAR2, POSTAL_CODE VARCHAR2, CITY VARCHAR2, STATE_PROVINCE VARCHAR2, COUNTRY_ID VARCHAR2)
CREATE TABLE employees (EMPLOYEE_ID NUMBER, FIRST_NAME VARCHAR2, LAST_NAME VARCHAR2, EMAIL VARCHAR2, PHONE_NUMBER VARCHAR2, HIRE_DATE DATE, JOB_ID VARCHAR2, SALARY NUMBER, COMMISSION_PCT NUMBER, MANAGER_ID NUMBER, DEPARTMENT_ID NUMBER)
CREATE TABLE regions (REGION_ID NUMBER, REGION_NAME VARCHAR2)
CREATE TABLE countries (COUNTRY_ID VARCHAR2, COUNTRY_NAME VARCHAR2, REGION_ID NUMBER)
CREATE TABLE departments (DEPARTMENT_ID NUMBER, DEPARTMENT_NAME VARCHAR2, MANAGER_ID NUMBER, LOCATION_ID NUMBER)
| For those employees who did not have any job in the past, show me about the distribution of hire_date and the average of salary bin hire_date by weekday in a bar chart, sort by the y-axis in ascending. | SELECT HIRE_DATE, AVG(SALARY) FROM employees WHERE NOT EMPLOYEE_ID IN (SELECT EMPLOYEE_ID FROM job_history) ORDER BY AVG(SALARY) | SELECT "HIRE_DATE", AVG("SALARY") FROM "employees" WHERE NOT "EMPLOYEE_ID" IN (SELECT "EMPLOYEE_ID" FROM "job_history") ORDER BY AVG("SALARY") | 0.138672 |
CREATE TABLE table_50328 ("Season" CLOB, "North" CLOB, "South" CLOB, "East" CLOB, "West" CLOB)
| What was west when ev f rstenfeldbruck was south? | SELECT "West" FROM table_50328 WHERE "South" = 'ev fürstenfeldbruck' | SELECT "West" FROM "table_50328" WHERE "South" = 'ev fürstenfeldbruck' | 0.068359 |
CREATE TABLE Department_Store_Chain (dept_store_chain_id NUMBER, dept_store_chain_name VARCHAR2)
CREATE TABLE Staff_Department_Assignments (staff_id NUMBER, department_id NUMBER, date_assigned_from DATETIME, job_title_code VARCHAR2, date_assigned_to DATETIME)
CREATE TABLE Customer_Addresses (customer_id NUMBER, address_id NUMBER, date_from DATETIME, date_to DATETIME)
CREATE TABLE Customers (customer_id NUMBER, payment_method_code VARCHAR2, customer_code VARCHAR2, customer_name VARCHAR2, customer_address VARCHAR2, customer_phone VARCHAR2, customer_email VARCHAR2)
CREATE TABLE Departments (department_id NUMBER, dept_store_id NUMBER, department_name VARCHAR2)
CREATE TABLE Order_Items (order_item_id NUMBER, order_id NUMBER, product_id NUMBER)
CREATE TABLE Department_Stores (dept_store_id NUMBER, dept_store_chain_id NUMBER, store_name VARCHAR2, store_address VARCHAR2, store_phone VARCHAR2, store_email VARCHAR2)
CREATE TABLE Supplier_Addresses (supplier_id NUMBER, address_id NUMBER, date_from DATETIME, date_to DATETIME)
CREATE TABLE Products (product_id NUMBER, product_type_code VARCHAR2, product_name VARCHAR2, product_price NUMBER)
CREATE TABLE Suppliers (supplier_id NUMBER, supplier_name VARCHAR2, supplier_phone VARCHAR2)
CREATE TABLE Customer_Orders (order_id NUMBER, customer_id NUMBER, order_status_code VARCHAR2, order_date DATETIME)
CREATE TABLE Product_Suppliers (product_id NUMBER, supplier_id NUMBER, date_supplied_from DATETIME, date_supplied_to DATETIME, total_amount_purchased VARCHAR2, total_value_purchased NUMBER)
CREATE TABLE Staff (staff_id NUMBER, staff_gender VARCHAR2, staff_name VARCHAR2)
CREATE TABLE Addresses (address_id NUMBER, address_details VARCHAR2)
| Return the average price for each product type. Plot them as pie chart. | SELECT product_type_code, AVG(product_price) FROM Products GROUP BY product_type_code | SELECT "product_type_code", AVG("product_price") FROM "Products" GROUP BY "product_type_code" | 0.09082 |
CREATE TABLE roller_coaster (roller_coaster_id NUMBER, name CLOB, park CLOB, country_id NUMBER, length NUMBER, height NUMBER, speed CLOB, opened CLOB, status CLOB)
CREATE TABLE country (country_id NUMBER, name CLOB, population NUMBER, area NUMBER, languages CLOB)
| List the status shared by more than two roller coaster. | SELECT status FROM roller_coaster GROUP BY status HAVING COUNT(*) > 2 | SELECT "status" FROM "roller_coaster" GROUP BY "status" HAVING COUNT(*) > 2 | 0.073242 |
CREATE TABLE table_62419 ("Pick #" FLOAT, "Player" CLOB, "Nationality" CLOB, "Position" CLOB, "Team from" CLOB, "League from" CLOB)
| Which Pick # has a Nationality of canada, and a Team from of sudbury wolves? | SELECT MIN("Pick #") FROM table_62419 WHERE "Nationality" = 'canada' AND "Team from" = 'sudbury wolves' | SELECT MIN("Pick #") FROM "table_62419" WHERE "Nationality" = 'canada' AND "Team from" = 'sudbury wolves' | 0.102539 |
CREATE TABLE table_3197 ("District" CLOB, "Incumbent" CLOB, "Party" CLOB, "First elected" CLOB, "Result" CLOB, "Candidates" CLOB)
| Name the result for barney frank | SELECT "Result" FROM table_3197 WHERE "Incumbent" = 'Barney Frank' | SELECT "Result" FROM "table_3197" WHERE "Incumbent" = 'Barney Frank' | 0.066406 |
CREATE TABLE trip (id NUMBER, duration NUMBER, start_date CLOB, start_station_name CLOB, start_station_id NUMBER, end_date CLOB, end_station_name CLOB, end_station_id NUMBER, bike_id NUMBER, subscription_type CLOB, zip_code NUMBER)
CREATE TABLE status (station_id NUMBER, bikes_available NUMBER, docks_available NUMBER, time CLOB)
CREATE TABLE weather (date CLOB, max_temperature_f NUMBER, mean_temperature_f NUMBER, min_temperature_f NUMBER, max_dew_point_f NUMBER, mean_dew_point_f NUMBER, min_dew_point_f NUMBER, max_humidity NUMBER, mean_humidity NUMBER, min_humidity NUMBER, max_sea_level_pressure_inches NUMBER, mean_sea_level_pressure_inches NUMBER, min_sea_level_pressure_inches NUMBER, max_visibility_miles NUMBER, mean_visibility_miles NUMBER, min_visibility_miles NUMBER, max_wind_Speed_mph NUMBER, mean_wind_speed_mph NUMBER, max_gust_speed_mph NUMBER, precipitation_inches NUMBER, cloud_cover NUMBER, events CLOB, wind_dir_degrees NUMBER, zip_code NUMBER)
CREATE TABLE station (id NUMBER, name CLOB, lat NUMBER, long NUMBER, dock_count NUMBER, city CLOB, installation_date CLOB)
| Show maximal lat from each city, list X-axis in asc order. | SELECT city, MAX(lat) FROM station GROUP BY city ORDER BY city | SELECT "city", MAX("lat") FROM "station" GROUP BY "city" ORDER BY "city" | 0.070313 |
CREATE TABLE table_34392 ("Date" CLOB, "Visitor" CLOB, "Score" CLOB, "Home" CLOB, "Attendance" FLOAT, "Record" CLOB, "Points" FLOAT)
| What is the record of the game played at home by the Blues where the attendance was larger than 4,719? | SELECT "Record" FROM table_34392 WHERE "Attendance" > '4,719' AND "Home" = 'blues' | SELECT "Record" FROM "table_34392" WHERE "Attendance" > '4,719' AND "Home" = 'blues' | 0.082031 |
CREATE TABLE table_32941 ("Region" CLOB, "Year" FLOAT, "Label" CLOB, "Format" CLOB, "Catalog" CLOB)
| What catalog came out after 2000? | SELECT "Catalog" FROM table_32941 WHERE "Year" > '2000' | SELECT "Catalog" FROM "table_32941" WHERE "Year" > '2000' | 0.055664 |
CREATE TABLE table_75601 ("Call sign" CLOB, "Frequency MHz" FLOAT, "City of license" CLOB, "ERP W" FLOAT, "Class" CLOB, "FCC info" CLOB)
| Frequency MHz of 88.7 had what average erp w? | SELECT AVG("ERP W") FROM table_75601 WHERE "Frequency MHz" = '88.7' | SELECT AVG("ERP W") FROM "table_75601" WHERE "Frequency MHz" = '88.7' | 0.067383 |
CREATE TABLE table_name_20 (goals_for NUMBER, goal_difference VARCHAR2, goals_against VARCHAR2)
| What is the fewest goals for when goal difference is +10 and goals against is more than 61? | SELECT MIN(goals_for) FROM table_name_20 WHERE goal_difference = "+10" AND goals_against > 61 | SELECT MIN("goals_for") FROM "table_name_20" WHERE "+10" = "goal_difference" AND "goals_against" > 61 | 0.098633 |
CREATE TABLE table_1652224_5 (date_successor_seated VARCHAR2, reason_for_change VARCHAR2)
| what is the date the successor seated because the person died august 17, 1954? | SELECT date_successor_seated FROM table_1652224_5 WHERE reason_for_change = "Died August 17, 1954" | SELECT "date_successor_seated" FROM "table_1652224_5" WHERE "Died August 17, 1954" = "reason_for_change" | 0.101563 |
CREATE TABLE table_38882 ("Rider" CLOB, "Bike" CLOB, "Laps" FLOAT, "Time" CLOB, "Grid" FLOAT)
| What was the number of Laps with a Grid of more than 3 and Time of 39:24.967? | SELECT MIN("Laps") FROM table_38882 WHERE "Grid" > '3' AND "Time" = '39:24.967' | SELECT MIN("Laps") FROM "table_38882" WHERE "Grid" > '3' AND "Time" = '39:24.967' | 0.079102 |
CREATE TABLE table_3254 ("Information" CLOB, "James E. Holmes" CLOB, "Reidsville" CLOB, "Rockingham County" CLOB, "Western Rockingham Middle School" CLOB)
| Name the reidsville for enrollment | SELECT "Reidsville" FROM table_3254 WHERE "Information" = 'Enrollment' | SELECT "Reidsville" FROM "table_3254" WHERE "Information" = 'Enrollment' | 0.070313 |
CREATE TABLE table_62635 ("Club" CLOB, "Head Coach" CLOB, "City" CLOB, "Stadium" CLOB, "2002-2003 season" CLOB)
| What city is the Stadium est dio dr. magalh es pessoa in? | SELECT "City" FROM table_62635 WHERE "Stadium" = 'estádio dr. magalhães pessoa' | SELECT "City" FROM "table_62635" WHERE "Stadium" = 'estádio dr. magalhães pessoa' | 0.079102 |
CREATE TABLE table_name_68 (round NUMBER, school_club_team VARCHAR2, pick VARCHAR2)
| Which Round has a School/Club Team of arizona, and a Pick smaller than 298? | SELECT MAX(round) FROM table_name_68 WHERE school_club_team = "arizona" AND pick < 298 | SELECT MAX("round") FROM "table_name_68" WHERE "arizona" = "school_club_team" AND "pick" < 298 | 0.091797 |
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 cost (costid NUMBER, uniquepid CLOB, patienthealthsystemstayid NUMBER, eventtype CLOB, eventid NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE patient (uniquepid CLOB, patienthealthsystemstayid NUMBER, patientunitstayid NUMBER, gender CLOB, age CLOB, ethnicity CLOB, hospitalid NUMBER, wardid NUMBER, admissionheight NUMBER, admissionweight NUMBER, dischargeweight NUMBER, hospitaladmittime TIME, hospitaladmitsource CLOB, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus CLOB)
CREATE TABLE allergy (allergyid NUMBER, patientunitstayid NUMBER, drugname CLOB, allergyname CLOB, allergytime TIME)
CREATE TABLE diagnosis (diagnosisid NUMBER, patientunitstayid NUMBER, diagnosisname CLOB, diagnosistime TIME, icd9code 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)
| what are the four most common lab tests for the patients who received a systemic glucocorticoid - methylprednisolone before within 2 months? | SELECT t3.labname FROM (SELECT t2.labname, DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS c1 FROM (SELECT patient.uniquepid, treatment.treatmenttime FROM treatment JOIN patient ON treatment.patientunitstayid = patient.patientunitstayid WHERE treatment.treatmentname = 'systemic glucocorticoid - methylprednisolone') AS t1 JOIN (SELECT patient.uniquepid, lab.labname, lab.labresulttime FROM lab JOIN patient ON lab.patientunitstayid = patient.patientunitstayid) AS t2 ON t1.uniquepid = t2.uniquepid WHERE t1.treatmenttime < t2.labresulttime AND DATETIME(t2.labresulttime) BETWEEN DATETIME(t1.treatmenttime) AND DATETIME(t1.treatmenttime, '+2 month') GROUP BY t2.labname) AS t3 WHERE t3.c1 <= 4 | WITH "t2" AS (SELECT "patient"."uniquepid", "lab"."labname", "lab"."labresulttime" FROM "lab" JOIN "patient" ON "lab"."patientunitstayid" = "patient"."patientunitstayid"), "t3" AS (SELECT "t2"."labname", DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS "c1" FROM "treatment" JOIN "patient" ON "patient"."patientunitstayid" = "treatment"."patientunitstayid" JOIN "t2" "t2" ON "patient"."uniquepid" = "t2"."uniquepid" AND "t2"."labresulttime" > "treatment"."treatmenttime" AND DATETIME("t2"."labresulttime") <= DATETIME("treatment"."treatmenttime", '+2 month') AND DATETIME("t2"."labresulttime") >= DATETIME("treatment"."treatmenttime") WHERE "treatment"."treatmentname" = 'systemic glucocorticoid - methylprednisolone' GROUP BY "t2"."labname") SELECT "t3"."labname" FROM "t3" "t3" WHERE "t3"."c1" <= 4 | 0.77832 |
CREATE TABLE table_25956 ("Game" FLOAT, "Date" CLOB, "Opponent" CLOB, "Score" CLOB, "Location" CLOB, "Attendance" FLOAT, "Record" CLOB, "Points" FLOAT)
| How many scores had a date of March 6? | SELECT COUNT("Score") FROM table_25956 WHERE "Date" = 'March 6' | SELECT COUNT("Score") FROM "table_25956" WHERE "Date" = 'March 6' | 0.063477 |
CREATE TABLE flight_leg (flight_id NUMBER, leg_number NUMBER, leg_flight NUMBER)
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 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 time_interval (period CLOB, begin_time NUMBER, end_time NUMBER)
CREATE TABLE ground_service (city_code CLOB, airport_code CLOB, transport_type CLOB, ground_fare NUMBER)
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 city (city_code VARCHAR2, city_name VARCHAR2, state_code VARCHAR2, country_name VARCHAR2, time_zone_code VARCHAR2)
CREATE TABLE airport_service (city_code VARCHAR2, airport_code VARCHAR2, miles_distant NUMBER, direction VARCHAR2, minutes_distant NUMBER)
CREATE TABLE 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 fare (fare_id NUMBER, from_airport VARCHAR2, to_airport VARCHAR2, fare_basis_code CLOB, fare_airline CLOB, restriction_code CLOB, one_direction_cost NUMBER, round_trip_cost NUMBER, round_trip_required VARCHAR2)
CREATE TABLE code_description (code VARCHAR2, description CLOB)
CREATE TABLE days (days_code VARCHAR2, day_name VARCHAR2)
CREATE TABLE airline (airline_code VARCHAR2, airline_name CLOB, note CLOB)
CREATE TABLE class_of_service (booking_class VARCHAR2, rank NUMBER, class_description CLOB)
CREATE TABLE time_zone (time_zone_code CLOB, time_zone_name CLOB, hours_from_gmt NUMBER)
CREATE TABLE flight_fare (flight_id NUMBER, fare_id NUMBER)
CREATE TABLE flight_stop (flight_id NUMBER, stop_number NUMBER, stop_days CLOB, stop_airport CLOB, arrival_time NUMBER, arrival_airline CLOB, arrival_flight_number NUMBER, departure_time NUMBER, departure_airline CLOB, departure_flight_number NUMBER, stop_time NUMBER)
CREATE TABLE compartment_class (compartment VARCHAR2, class_type VARCHAR2)
CREATE TABLE food_service (meal_code CLOB, meal_number NUMBER, compartment CLOB, meal_description VARCHAR2)
CREATE TABLE equipment_sequence (aircraft_code_sequence VARCHAR2, aircraft_code VARCHAR2)
CREATE TABLE state (state_code CLOB, state_name CLOB, country_name CLOB)
CREATE TABLE aircraft (aircraft_code VARCHAR2, aircraft_description VARCHAR2, manufacturer VARCHAR2, basic_type VARCHAR2, engines NUMBER, propulsion VARCHAR2, wide_body VARCHAR2, wing_span NUMBER, length NUMBER, weight NUMBER, capacity NUMBER, pay_load NUMBER, cruising_speed NUMBER, range_miles NUMBER, pressurized VARCHAR2)
CREATE TABLE date_day (month_number NUMBER, day_number NUMBER, year NUMBER, day_name VARCHAR2)
| flight numbers from MINNEAPOLIS to LONG BEACH on 6 26 | 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, date_day, days, flight WHERE (CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'LONG BEACH' AND date_day.day_number = 26 AND date_day.month_number = 6 AND date_day.year = 1991 AND days.day_name = date_day.day_name AND flight.flight_days = days.days_code AND flight.to_airport = AIRPORT_SERVICE_1.airport_code) AND CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'MINNEAPOLIS' AND flight.from_airport = AIRPORT_SERVICE_0.airport_code | SELECT DISTINCT "flight"."flight_id" FROM "airport_service" "AIRPORT_SERVICE_0" JOIN "date_day" ON "date_day"."day_number" = 26 AND "date_day"."month_number" = 6 AND "date_day"."year" = 1991 JOIN "city" "CITY_0" ON "AIRPORT_SERVICE_0"."city_code" = "CITY_0"."city_code" AND "CITY_0"."city_name" = 'MINNEAPOLIS' JOIN "days" ON "date_day"."day_name" = "days"."day_name" JOIN "flight" ON "AIRPORT_SERVICE_0"."airport_code" = "flight"."from_airport" AND "days"."days_code" = "flight"."flight_days" 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" = 'LONG BEACH' | 0.700195 |
CREATE TABLE table_name_96 (Leading VARCHAR2, series VARCHAR2)
| Who is the leading scorer of the wnba finals series? | SELECT Leading AS scorer FROM table_name_96 WHERE series = "wnba finals" | SELECT "Leading" AS "scorer" FROM "table_name_96" WHERE "series" = "wnba finals" | 0.078125 |
CREATE TABLE table_59847 ("Date" CLOB, "Ship" CLOB, "Nationality" CLOB, "Tonnage" FLOAT, "Fate" CLOB)
| What was the fate on 27 june 1942? | SELECT "Fate" FROM table_59847 WHERE "Date" = '27 june 1942' | SELECT "Fate" FROM "table_59847" WHERE "Date" = '27 june 1942' | 0.060547 |
CREATE TABLE Student (advisor VARCHAR2)
| Show all advisors and corresponding number of students. | SELECT advisor, COUNT(*) FROM Student GROUP BY advisor | SELECT "advisor", COUNT(*) FROM "Student" GROUP BY "advisor" | 0.058594 |
CREATE TABLE allergy (allergyid NUMBER, patientunitstayid NUMBER, drugname CLOB, allergyname CLOB, allergytime TIME)
CREATE TABLE cost (costid NUMBER, uniquepid CLOB, patienthealthsystemstayid NUMBER, eventtype CLOB, eventid NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE vitalperiodic (vitalperiodicid NUMBER, patientunitstayid NUMBER, temperature NUMBER, sao2 NUMBER, heartrate NUMBER, respiration NUMBER, systemicsystolic NUMBER, systemicdiastolic NUMBER, systemicmean NUMBER, observationtime TIME)
CREATE TABLE medication (medicationid NUMBER, patientunitstayid NUMBER, drugname CLOB, dosage CLOB, routeadmin CLOB, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE treatment (treatmentid NUMBER, patientunitstayid NUMBER, treatmentname CLOB, treatmenttime TIME)
CREATE TABLE patient (uniquepid CLOB, patienthealthsystemstayid NUMBER, patientunitstayid NUMBER, gender CLOB, age CLOB, ethnicity CLOB, hospitalid NUMBER, wardid NUMBER, admissionheight NUMBER, admissionweight NUMBER, dischargeweight NUMBER, hospitaladmittime TIME, hospitaladmitsource CLOB, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus CLOB)
CREATE TABLE microlab (microlabid NUMBER, patientunitstayid NUMBER, culturesite CLOB, organism CLOB, culturetakentime TIME)
CREATE TABLE lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime TIME)
CREATE TABLE diagnosis (diagnosisid NUMBER, patientunitstayid NUMBER, diagnosisname CLOB, diagnosistime TIME, icd9code CLOB)
CREATE TABLE intakeoutput (intakeoutputid NUMBER, patientunitstayid NUMBER, cellpath CLOB, celllabel CLOB, cellvaluenumeric NUMBER, intakeoutputtime TIME)
| what is patient 006-35134's minimum heartrate, on 07/07/this year? | SELECT MIN(vitalperiodic.heartrate) FROM vitalperiodic WHERE vitalperiodic.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '006-35134')) AND NOT vitalperiodic.heartrate IS NULL AND DATETIME(vitalperiodic.observationtime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-0 year') AND STRFTIME('%m-%d', vitalperiodic.observationtime) = '07-07' | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '006-35134' GROUP BY "patienthealthsystemstayid"), "_u_1" AS (SELECT "patient"."patientunitstayid" FROM "patient" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "patient"."patienthealthsystemstayid" WHERE NOT "_u_0"."" IS NULL GROUP BY "patientunitstayid") SELECT MIN("vitalperiodic"."heartrate") FROM "vitalperiodic" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "vitalperiodic"."patientunitstayid" WHERE DATETIME("vitalperiodic"."observationtime", 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-0 year') AND NOT "_u_1"."" IS NULL AND NOT "vitalperiodic"."heartrate" IS NULL AND STRFTIME('%m-%d', "vitalperiodic"."observationtime") = '07-07' | 0.731445 |
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