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CREATE TABLE table_56379 ("Bowling figures Wickets-Runs ( Overs ) " CLOB, "Bowler" CLOB, "Versus" CLOB, "Venue" CLOB, "Date" CLOB)
| When was a competition held at Pietermaritzburg? | SELECT "Date" FROM table_56379 WHERE "Venue" = 'pietermaritzburg' | SELECT "Date" FROM "table_56379" WHERE "Venue" = 'pietermaritzburg' | 0.06543 |
CREATE TABLE table_name_95 (revenue__ NUMBER, rank VARCHAR2)
| What is the lowest revenue for the rank of 14? | SELECT MIN(revenue__) AS $m_ FROM table_name_95 WHERE rank = 14 | SELECT MIN("revenue__") AS "$m_" FROM "table_name_95" WHERE "rank" = 14 | 0.069336 |
CREATE TABLE table_16773 ("Race Name" CLOB, "Circuit" CLOB, "Date" CLOB, "Winning driver" CLOB, "Constructor" CLOB, "Report" CLOB)
| What was the report of Mike Hawthorn's winning race? | SELECT "Report" FROM table_16773 WHERE "Winning driver" = 'Mike Hawthorn' | SELECT "Report" FROM "table_16773" WHERE "Winning driver" = 'Mike Hawthorn' | 0.073242 |
CREATE TABLE table_203_523 (id NUMBER, "state" CLOB, "swimsuit" NUMBER, "interview" NUMBER, "evening gown" NUMBER, "average" NUMBER, "finalists" NUMBER)
| which finalist received the same score in evening gown as interview ? | SELECT "state" FROM table_203_523 WHERE "evening gown" = "interview" | SELECT "state" FROM "table_203_523" WHERE "evening gown" = "interview" | 0.068359 |
CREATE TABLE table_name_68 (athlete VARCHAR2, nationality VARCHAR2)
| Which athlete from Germany has 2.20 of O and a 2.25 of O? | SELECT athlete FROM table_name_68 WHERE 220 = "o" AND 225 = "o" AND nationality = "germany" | SELECT "athlete" FROM "table_name_68" WHERE "germany" = "nationality" AND "o" = 220 AND "o" = 225 | 0.094727 |
CREATE TABLE d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE 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 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 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 chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
CREATE TABLE labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
CREATE TABLE d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE prescriptions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, startdate TIME, enddate TIME, drug CLOB, dose_val_rx CLOB, dose_unit_rx CLOB, route CLOB)
CREATE TABLE microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
CREATE TABLE cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
CREATE TABLE outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
CREATE TABLE diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
| have there been any microbiology tests for patient 90663 on their current hospital visit? | SELECT COUNT(*) > 0 FROM microbiologyevents WHERE microbiologyevents.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 90663 AND admissions.dischtime IS NULL) | WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."dischtime" IS NULL AND "admissions"."subject_id" = 90663 GROUP BY "hadm_id") SELECT COUNT(*) > 0 FROM "microbiologyevents" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "microbiologyevents"."hadm_id" WHERE NOT "_u_0"."" IS NULL | 0.296875 |
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 SuggestedEdits (Id NUMBER, PostId NUMBER, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId NUMBER, Comment CLOB, Text CLOB, Title CLOB, Tags CLOB, RevisionGUID other)
CREATE TABLE PostsWithDeleted (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE 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 PostTypes (Id NUMBER, Name CLOB)
CREATE TABLE PendingFlags (Id NUMBER, FlagTypeId NUMBER, PostId NUMBER, CreationDate TIME, CloseReasonTypeId NUMBER, CloseAsOffTopicReasonTypeId NUMBER, DuplicateOfQuestionId NUMBER, BelongsOnBaseHostAddress CLOB)
CREATE TABLE PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId 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 ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
CREATE TABLE PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId NUMBER)
CREATE TABLE ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment CLOB)
CREATE TABLE CloseReasonTypes (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 Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
CREATE TABLE ReviewTaskTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Posts (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId NUMBER)
CREATE TABLE SuggestedEditVotes (Id NUMBER, SuggestedEditId NUMBER, UserId NUMBER, VoteTypeId NUMBER, CreationDate TIME, TargetUserId NUMBER, TargetRepChange NUMBER)
CREATE TABLE PostTags (PostId NUMBER, TagId NUMBER)
CREATE TABLE PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
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 Comments (Id NUMBER, PostId NUMBER, Score NUMBER, Text CLOB, CreationDate TIME, UserDisplayName CLOB, UserId NUMBER, ContentLicense CLOB)
CREATE TABLE PostHistoryTypes (Id NUMBER, Name CLOB)
CREATE TABLE Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
CREATE TABLE ReviewTaskResultTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE VoteTypes (Id NUMBER, Name CLOB)
CREATE TABLE Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount NUMBER)
CREATE TABLE ReviewTaskStates (Id NUMBER, Name CLOB, Description CLOB)
| Getting Python DS related content. | SELECT Id, Score, ViewCount, Title, Tags, CommentCount, FavoriteCount FROM Posts WHERE PostTypeId = 1 AND DeletionDate IS NULL AND (Tags LIKE '%python%' OR Tags LIKE '%sql%' OR Tags LIKE '%numpy%' OR Tags LIKE '%scikit-learn%' OR Tags LIKE '%sklearn%' OR Tags LIKE '%numpy%' OR Tags LIKE '%scipy%' OR Tags LIKE '%pandas%' OR (Tags LIKE '%xgboost%' AND Tags LIKE '%python%') OR (Tags LIKE '%catboost%' AND Tags LIKE '%python%') OR (Tags LIKE '%prophet%' AND Tags LIKE '%python%') OR (Tags LIKE '%spark%' AND Tags LIKE '%python%') OR (Tags LIKE '%machine-learning%' AND Tags LIKE '%python%') OR (Tags LIKE '%probability%' AND Tags LIKE '%python%')) | SELECT "Id", "Score", "ViewCount", "Title", "Tags", "CommentCount", "FavoriteCount" FROM "Posts" WHERE "DeletionDate" IS NULL AND "PostTypeId" = 1 AND ("Tags" LIKE '%numpy%' OR "Tags" LIKE '%pandas%' OR "Tags" LIKE '%python%' OR "Tags" LIKE '%scikit-learn%' OR "Tags" LIKE '%scipy%' OR "Tags" LIKE '%sklearn%' OR "Tags" LIKE '%sql%') | 0.325195 |
CREATE TABLE table_48569 ("Place" CLOB, "Player" CLOB, "Country" CLOB, "Score" CLOB, "To par" CLOB, "Money ( $ ) " FLOAT)
| Who is the player with a +3 to par and a 72-68-71-72=283 score? | SELECT "Player" FROM table_48569 WHERE "To par" = '+3' AND "Score" = '72-68-71-72=283' | SELECT "Player" FROM "table_48569" WHERE "Score" = '72-68-71-72=283' AND "To par" = '+3' | 0.085938 |
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 procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
| tell me the gender and religious background of patient david trammell. | SELECT demographic.gender, demographic.religion FROM demographic WHERE demographic.name = "David Trammell" | SELECT "demographic"."gender", "demographic"."religion" FROM "demographic" WHERE "David Trammell" = "demographic"."name" | 0.117188 |
CREATE TABLE table_12962773_1 (height VARCHAR2, position VARCHAR2, year_born VARCHAR2)
| what's height with position being center and year born being bigger than 1980.0 | SELECT height FROM table_12962773_1 WHERE position = "Center" AND year_born > 1980.0 | SELECT "height" FROM "table_12962773_1" WHERE "Center" = "position" AND "year_born" > 1980.0 | 0.089844 |
CREATE TABLE table_58307 ("Entrant" CLOB, "Constructor" CLOB, "Chassis" CLOB, "Engine" CLOB, "Tyre" CLOB, "Driver" CLOB, "Rounds" CLOB)
| None of the rounds has Roger Williamson as a driver. | SELECT "Rounds" FROM table_58307 WHERE "Driver" = 'roger williamson' | SELECT "Rounds" FROM "table_58307" WHERE "Driver" = 'roger williamson' | 0.068359 |
CREATE TABLE table_47593 ("Rider" CLOB, "Manufacturer" CLOB, "Laps" FLOAT, "Time/Retired" CLOB, "Grid" FLOAT)
| What is the lowest grid number that a race took place doing more than 21 laps? | SELECT MIN("Grid") FROM table_47593 WHERE "Laps" > '21' | SELECT MIN("Grid") FROM "table_47593" WHERE "Laps" > '21' | 0.055664 |
CREATE TABLE table_17118657_10 (date VARCHAR2, high_assists VARCHAR2)
| On which date is high assists Dupree (6)? | SELECT date FROM table_17118657_10 WHERE high_assists = "Dupree (6)" | SELECT "date" FROM "table_17118657_10" WHERE "Dupree (6)" = "high_assists" | 0.072266 |
CREATE TABLE program_requirement (program_id NUMBER, category VARCHAR2, min_credit NUMBER, additional_req VARCHAR2)
CREATE TABLE student (student_id NUMBER, lastname VARCHAR2, firstname VARCHAR2, program_id NUMBER, declare_major VARCHAR2, total_credit NUMBER, total_gpa FLOAT, entered_as VARCHAR2, admit_term NUMBER, predicted_graduation_semester NUMBER, degree VARCHAR2, minor VARCHAR2, internship VARCHAR2)
CREATE TABLE instructor (instructor_id NUMBER, name VARCHAR2, uniqname VARCHAR2)
CREATE TABLE requirement (requirement_id NUMBER, requirement VARCHAR2, college VARCHAR2)
CREATE TABLE jobs (job_id NUMBER, job_title VARCHAR2, description VARCHAR2, requirement VARCHAR2, city VARCHAR2, state VARCHAR2, country VARCHAR2, zip NUMBER)
CREATE TABLE course (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_prerequisite (pre_course_id NUMBER, course_id NUMBER)
CREATE TABLE student_record (student_id NUMBER, course_id NUMBER, semester NUMBER, grade VARCHAR2, how VARCHAR2, transfer_source VARCHAR2, earn_credit VARCHAR2, repeat_term VARCHAR2, test_id VARCHAR2)
CREATE TABLE course_offering (offering_id NUMBER, course_id NUMBER, semester NUMBER, section_number NUMBER, start_time TIME, end_time TIME, monday VARCHAR2, tuesday VARCHAR2, wednesday VARCHAR2, thursday VARCHAR2, friday VARCHAR2, saturday VARCHAR2, sunday VARCHAR2, has_final_project VARCHAR2, has_final_exam VARCHAR2, textbook VARCHAR2, class_address VARCHAR2, allow_audit VARCHAR2)
CREATE TABLE program_course (program_id NUMBER, course_id NUMBER, workload NUMBER, category VARCHAR2)
CREATE TABLE area (course_id NUMBER, area VARCHAR2)
CREATE TABLE program (program_id NUMBER, name VARCHAR2, college VARCHAR2, introduction VARCHAR2)
CREATE TABLE offering_instructor (offering_instructor_id NUMBER, offering_id NUMBER, instructor_id NUMBER)
CREATE TABLE ta (campus_job_id NUMBER, student_id NUMBER, location VARCHAR2)
CREATE TABLE gsi (course_offering_id NUMBER, student_id NUMBER)
CREATE TABLE comment_instructor (instructor_id NUMBER, student_id NUMBER, score NUMBER, comment_text VARCHAR2)
CREATE TABLE semester (semester_id NUMBER, semester VARCHAR2, year NUMBER)
CREATE TABLE course_tags_count (course_id NUMBER, clear_grading NUMBER, pop_quiz NUMBER, group_projects NUMBER, inspirational NUMBER, long_lectures NUMBER, extra_credit NUMBER, few_tests NUMBER, good_feedback NUMBER, tough_tests NUMBER, heavy_papers NUMBER, cares_for_students NUMBER, heavy_assignments NUMBER, respected NUMBER, participation NUMBER, heavy_reading NUMBER, tough_grader NUMBER, hilarious NUMBER, would_take_again NUMBER, good_lecture NUMBER, no_skip NUMBER)
| In Fall or Winter , will there be any courses that would meet the MDE requirement ? | SELECT DISTINCT course.department, course.name, course.number, semester.semester FROM course INNER JOIN course_offering ON course.course_id = course_offering.course_id INNER JOIN semester ON semester.semester_id = course_offering.semester INNER JOIN program_course ON program_course.course_id = course_offering.course_id WHERE program_course.category LIKE '%MDE%' AND semester.semester IN ('FA', 'WN') AND semester.year = 2016 | SELECT DISTINCT "course"."department", "course"."name", "course"."number", "semester"."semester" FROM "course" JOIN "course_offering" ON "course"."course_id" = "course_offering"."course_id" JOIN "program_course" ON "course_offering"."course_id" = "program_course"."course_id" AND "program_course"."category" LIKE '%MDE%' JOIN "semester" ON "course_offering"."semester" = "semester"."semester_id" AND "semester"."semester" IN ('FA', 'WN') AND "semester"."year" = 2016 | 0.455078 |
CREATE TABLE table_13029 ("Outcome" CLOB, "Date" CLOB, "Tournament" CLOB, "Surface" CLOB, "Partner" CLOB, "Opponents in the final" CLOB, "Score in the final" CLOB)
| Which Opponents in the final has a Partner of olga lugina? | SELECT "Opponents in the final" FROM table_13029 WHERE "Partner" = 'olga lugina' | SELECT "Opponents in the final" FROM "table_13029" WHERE "Partner" = 'olga lugina' | 0.080078 |
CREATE TABLE table_203_426 (id NUMBER, "year" NUMBER, "title" CLOB, "peak chart positions\ aus" NUMBER, "peak chart positions\ nz" NUMBER, "peak chart positions\ uk" NUMBER, "album" CLOB)
| how many single only releases did the triffids release ? | SELECT COUNT(*) FROM table_203_426 WHERE "album" = 'single-only release' | SELECT COUNT(*) FROM "table_203_426" WHERE "album" = 'single-only release' | 0.072266 |
CREATE TABLE table_15190346_2 (stadium VARCHAR2, attendance VARCHAR2)
| What is the stadium where the attendance was 75,406? | SELECT stadium FROM table_15190346_2 WHERE attendance = "75,406" | SELECT "stadium" FROM "table_15190346_2" WHERE "75,406" = "attendance" | 0.068359 |
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 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 station (id NUMBER, name CLOB, lat NUMBER, long NUMBER, dock_count NUMBER, city CLOB, installation_date CLOB)
| For the top 3 days with the largest max gust speeds, please bin the date into the of the week and then compute the average of mean humidity to visualize a bar chart. | SELECT date, AVG(mean_humidity) FROM weather ORDER BY max_gust_speed_mph DESC LIMIT 3 | SELECT "date", AVG("mean_humidity") FROM "weather" ORDER BY "max_gust_speed_mph" DESC FETCH FIRST 3 ROWS ONLY | 0.106445 |
CREATE TABLE ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId NUMBER)
CREATE TABLE SuggestedEditVotes (Id NUMBER, SuggestedEditId NUMBER, UserId NUMBER, VoteTypeId NUMBER, CreationDate TIME, TargetUserId NUMBER, TargetRepChange NUMBER)
CREATE TABLE Comments (Id NUMBER, PostId NUMBER, Score NUMBER, Text CLOB, CreationDate TIME, UserDisplayName CLOB, UserId NUMBER, ContentLicense CLOB)
CREATE TABLE ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment CLOB)
CREATE TABLE Posts (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE 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 CloseReasonTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE ReviewTaskStates (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
CREATE TABLE ReviewTaskTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
CREATE TABLE PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId NUMBER)
CREATE TABLE Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount NUMBER)
CREATE TABLE PostHistoryTypes (Id NUMBER, Name CLOB)
CREATE TABLE Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
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 Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
CREATE TABLE PendingFlags (Id NUMBER, FlagTypeId NUMBER, PostId NUMBER, CreationDate TIME, CloseReasonTypeId NUMBER, CloseAsOffTopicReasonTypeId NUMBER, DuplicateOfQuestionId NUMBER, BelongsOnBaseHostAddress CLOB)
CREATE TABLE VoteTypes (Id NUMBER, Name CLOB)
CREATE TABLE PostTags (PostId NUMBER, TagId NUMBER)
CREATE TABLE ReviewTaskResultTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE FlagTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId 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 PostHistory (Id NUMBER, PostHistoryTypeId NUMBER, PostId NUMBER, RevisionGUID other, CreationDate TIME, UserId NUMBER, UserDisplayName CLOB, Comment CLOB, Text CLOB, ContentLicense CLOB)
CREATE TABLE PostTypes (Id NUMBER, Name CLOB)
CREATE TABLE SuggestedEdits (Id NUMBER, PostId NUMBER, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId NUMBER, Comment CLOB, Text CLOB, Title CLOB, Tags CLOB, RevisionGUID other)
CREATE TABLE PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId NUMBER)
CREATE TABLE CloseAsOffTopicReasonTypes (Id NUMBER, IsUniversal BOOLEAN, InputTitle CLOB, MarkdownInputGuidance CLOB, MarkdownPostOwnerGuidance CLOB, MarkdownPrivilegedUserGuidance CLOB, MarkdownConcensusDescription CLOB, CreationDate TIME, CreationModeratorId NUMBER, ApprovalDate TIME, ApprovalModeratorId NUMBER, DeactivationDate TIME, DeactivationModeratorId NUMBER)
| Programming Languages - Number of Questions - Monthly. | SELECT t.TagName, TIME_TO_STR(p.CreationDate, '%-m') AS q, YEAR(p.CreationDate) AS y, COUNT(p.Id) AS NumPosts FROM Tags AS t JOIN PostTags AS pt ON pt.TagId = t.Id JOIN Posts AS p ON p.Id = pt.PostId WHERE t.TagName IN ('java', 'javascript', 'python', 'c#', 'html', 'php', 'sql', 'xml') AND YEAR(p.CreationDate) >= 2015 GROUP BY t.TagName, TIME_TO_STR(p.CreationDate, '%-m'), YEAR(p.CreationDate) ORDER BY y, q, TagName DESC | SELECT "t"."TagName", TO_CHAR("p"."CreationDate", '%-m') AS "q", YEAR("p"."CreationDate") AS "y", COUNT("p"."Id") AS "NumPosts" FROM "Tags" "t" JOIN "PostTags" "pt" ON "pt"."TagId" = "t"."Id" JOIN "Posts" "p" ON "p"."Id" = "pt"."PostId" AND YEAR("p"."CreationDate") >= 2015 WHERE "t"."TagName" IN ('java', 'javascript', 'python', 'c#', 'html', 'php', 'sql', 'xml') GROUP BY "t"."TagName", TO_CHAR("p"."CreationDate", '%-m'), YEAR("p"."CreationDate") ORDER BY "y", "q", "TagName" DESC | 0.47168 |
CREATE TABLE departments (DEPARTMENT_ID NUMBER, DEPARTMENT_NAME VARCHAR2, MANAGER_ID NUMBER, LOCATION_ID NUMBER)
CREATE TABLE jobs (JOB_ID VARCHAR2, JOB_TITLE VARCHAR2, MIN_SALARY NUMBER, MAX_SALARY NUMBER)
CREATE TABLE employees (EMPLOYEE_ID NUMBER, FIRST_NAME VARCHAR2, LAST_NAME VARCHAR2, EMAIL VARCHAR2, PHONE_NUMBER VARCHAR2, HIRE_DATE DATE, JOB_ID VARCHAR2, SALARY NUMBER, COMMISSION_PCT NUMBER, MANAGER_ID NUMBER, DEPARTMENT_ID NUMBER)
CREATE TABLE countries (COUNTRY_ID VARCHAR2, COUNTRY_NAME VARCHAR2, REGION_ID NUMBER)
CREATE TABLE 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 regions (REGION_ID NUMBER, REGION_NAME VARCHAR2)
| For those employees who did not have any job in the past, give me the comparison about the amount of hire_date over the hire_date bin hire_date by time, sort from low to high by the y axis. | SELECT HIRE_DATE, COUNT(HIRE_DATE) FROM employees WHERE NOT EMPLOYEE_ID IN (SELECT EMPLOYEE_ID FROM job_history) ORDER BY COUNT(HIRE_DATE) | SELECT "HIRE_DATE", COUNT("HIRE_DATE") FROM "employees" WHERE NOT "EMPLOYEE_ID" IN (SELECT "EMPLOYEE_ID" FROM "job_history") ORDER BY COUNT("HIRE_DATE") | 0.148438 |
CREATE TABLE table_name_42 (last_win VARCHAR2, club VARCHAR2, wins VARCHAR2)
| How many Last wins have a Club of mansfield town, and Wins smaller than 1? | SELECT COUNT(last_win) FROM table_name_42 WHERE club = "mansfield town" AND wins < 1 | SELECT COUNT("last_win") FROM "table_name_42" WHERE "club" = "mansfield town" AND "wins" < 1 | 0.089844 |
CREATE TABLE table_name_73 (label VARCHAR2, country VARCHAR2, catalog VARCHAR2)
| What is the Label name that has a Country of uk and the Catalog is bpg 62988? | SELECT label FROM table_name_73 WHERE country = "uk" AND catalog = "bpg 62988" | SELECT "label" FROM "table_name_73" WHERE "bpg 62988" = "catalog" AND "country" = "uk" | 0.083984 |
CREATE TABLE problem_category_codes (problem_category_code CLOB, problem_category_description CLOB)
CREATE TABLE problems (problem_id NUMBER, product_id NUMBER, closure_authorised_by_staff_id NUMBER, reported_by_staff_id NUMBER, date_problem_reported TIME, date_problem_closed TIME, problem_description CLOB, other_problem_details CLOB)
CREATE TABLE problem_status_codes (problem_status_code CLOB, problem_status_description CLOB)
CREATE TABLE problem_log (problem_log_id NUMBER, assigned_to_staff_id NUMBER, problem_id NUMBER, problem_category_code CLOB, problem_status_code CLOB, log_entry_date TIME, log_entry_description CLOB, log_entry_fix CLOB, other_log_details CLOB)
CREATE TABLE staff (staff_id NUMBER, staff_first_name CLOB, staff_last_name CLOB, other_staff_details CLOB)
CREATE TABLE product (product_id NUMBER, product_name CLOB, product_details CLOB)
| What are the ids of the problems reported before the date of any problem reported by Lysanne Turcotte? | SELECT T1.problem_id FROM problems AS T1 JOIN staff AS T2 ON T1.reported_by_staff_id = T2.staff_id WHERE date_problem_reported < (SELECT MIN(date_problem_reported) FROM problems AS T3 JOIN staff AS T4 ON T3.reported_by_staff_id = T4.staff_id WHERE T4.staff_first_name = "Lysanne" AND T4.staff_last_name = "Turcotte") | SELECT "T1"."problem_id" FROM "problems" "T1" JOIN "staff" "T2" ON "T1"."reported_by_staff_id" = "T2"."staff_id" WHERE "date_problem_reported" < (SELECT MIN("date_problem_reported") FROM "problems" "T3" JOIN "staff" "T4" ON "Lysanne" = "T4"."staff_first_name" AND "T3"."reported_by_staff_id" = "T4"."staff_id" AND "T4"."staff_last_name" = "Turcotte") | 0.341797 |
CREATE TABLE equipment_sequence (aircraft_code_sequence VARCHAR2, aircraft_code VARCHAR2)
CREATE TABLE time_zone (time_zone_code CLOB, time_zone_name CLOB, hours_from_gmt NUMBER)
CREATE TABLE city (city_code VARCHAR2, city_name VARCHAR2, state_code VARCHAR2, country_name VARCHAR2, time_zone_code VARCHAR2)
CREATE TABLE compartment_class (compartment VARCHAR2, class_type VARCHAR2)
CREATE TABLE dual_carrier (main_airline VARCHAR2, low_flight_number NUMBER, high_flight_number NUMBER, dual_airline VARCHAR2, service_name 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 date_day (month_number NUMBER, day_number NUMBER, year NUMBER, day_name VARCHAR2)
CREATE TABLE code_description (code VARCHAR2, description CLOB)
CREATE TABLE class_of_service (booking_class VARCHAR2, rank NUMBER, class_description 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 flight_fare (flight_id NUMBER, fare_id 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 time_interval (period CLOB, begin_time NUMBER, end_time 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 ground_service (city_code CLOB, airport_code CLOB, transport_type CLOB, ground_fare NUMBER)
CREATE TABLE airport_service (city_code VARCHAR2, airport_code VARCHAR2, miles_distant NUMBER, direction VARCHAR2, minutes_distant NUMBER)
CREATE TABLE flight_leg (flight_id NUMBER, leg_number NUMBER, leg_flight NUMBER)
CREATE TABLE days (days_code VARCHAR2, day_name VARCHAR2)
CREATE TABLE food_service (meal_code CLOB, meal_number NUMBER, compartment CLOB, meal_description VARCHAR2)
CREATE TABLE airline (airline_code VARCHAR2, airline_name CLOB, note CLOB)
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 month (month_number NUMBER, month_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 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 state (state_code CLOB, state_name CLOB, country_name CLOB)
| give me the flights on tuesday from LOS ANGELES to PITTSBURGH | 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 = 'PITTSBURGH' AND date_day.day_number = 22 AND date_day.month_number = 3 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 = 'LOS ANGELES' 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" = 22 AND "date_day"."month_number" = 3 AND "date_day"."year" = 1991 JOIN "city" "CITY_0" ON "AIRPORT_SERVICE_0"."city_code" = "CITY_0"."city_code" AND "CITY_0"."city_name" = 'LOS ANGELES' 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" = 'PITTSBURGH' | 0.700195 |
CREATE TABLE table_name_41 (finished VARCHAR2, entered VARCHAR2, exited VARCHAR2)
| What position did the celebrity finish that entered on day 1 and exited on day 15? | SELECT finished FROM table_name_41 WHERE entered = "day 1" AND exited = "day 15" | SELECT "finished" FROM "table_name_41" WHERE "day 1" = "entered" AND "day 15" = "exited" | 0.085938 |
CREATE TABLE table_37523 ("Camera" CLOB, "Sensor resolution" CLOB, "Sensor" CLOB, "Output" CLOB, "CPU usage" CLOB, "IR LEDs" CLOB)
| What was the output with no IR LEDs? | SELECT "Output" FROM table_37523 WHERE "IR LEDs" = 'no' | SELECT "Output" FROM "table_37523" WHERE "IR LEDs" = 'no' | 0.055664 |
CREATE TABLE table_name_12 (round NUMBER, nhl_team VARCHAR2, player VARCHAR2)
| Which Round has a NHL team of edmonton oilers and a Player of vyacheslav trukhno? | SELECT AVG(round) FROM table_name_12 WHERE nhl_team = "edmonton oilers" AND player = "vyacheslav trukhno" | SELECT AVG("round") FROM "table_name_12" WHERE "edmonton oilers" = "nhl_team" AND "player" = "vyacheslav trukhno" | 0.110352 |
CREATE TABLE labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE prescriptions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, startdate TIME, enddate TIME, drug CLOB, dose_val_rx CLOB, dose_unit_rx CLOB, route CLOB)
CREATE TABLE d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
CREATE TABLE d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE transfers (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, eventtype CLOB, careunit CLOB, wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
CREATE TABLE inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
CREATE TABLE 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 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 procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
CREATE TABLE patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
CREATE TABLE d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto 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)
| was the value of patient 74716's base excess last measured on the first hospital visit greater than they were second to last measured on the first hospital visit? | SELECT (SELECT labevents.valuenum FROM labevents WHERE labevents.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 74716 AND NOT admissions.dischtime IS NULL ORDER BY admissions.admittime LIMIT 1) AND labevents.itemid IN (SELECT d_labitems.itemid FROM d_labitems WHERE d_labitems.label = 'base excess') ORDER BY labevents.charttime DESC LIMIT 1) > (SELECT labevents.valuenum FROM labevents WHERE labevents.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 74716 AND NOT admissions.dischtime IS NULL ORDER BY admissions.admittime LIMIT 1) AND labevents.itemid IN (SELECT d_labitems.itemid FROM d_labitems WHERE d_labitems.label = 'base excess') ORDER BY labevents.charttime DESC LIMIT 1 OFFSET 1) | WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 74716 AND NOT "admissions"."dischtime" IS NULL GROUP BY "hadm_id" ORDER BY "admissions"."admittime" FETCH FIRST 1 ROWS ONLY), "_u_1" AS (SELECT "d_labitems"."itemid" FROM "d_labitems" WHERE "d_labitems"."label" = 'base excess' GROUP BY "itemid") SELECT (SELECT "labevents"."valuenum" FROM "labevents" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "labevents"."hadm_id" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "labevents"."itemid" WHERE NOT "_u_0"."" IS NULL AND NOT "_u_1"."" IS NULL ORDER BY "labevents"."charttime" DESC FETCH FIRST 1 ROWS ONLY) > (SELECT "labevents"."valuenum" FROM "labevents" LEFT JOIN "_u_0" "_u_3" ON "_u_3"."" = "labevents"."hadm_id" LEFT JOIN "_u_1" "_u_4" ON "_u_4"."" = "labevents"."itemid" WHERE NOT "_u_3"."" IS NULL AND NOT "_u_4"."" IS NULL ORDER BY "labevents"."charttime" DESC OFFSET 1 ROWS FETCH FIRST 1 ROWS ONLY) | 0.916016 |
CREATE TABLE table_name_66 (young_rider_classification VARCHAR2, mountains_classification VARCHAR2, stage VARCHAR2)
| What is the young rider classification for jesper worre and stage 3 | SELECT young_rider_classification FROM table_name_66 WHERE mountains_classification = "jesper worre" AND stage = "3" | SELECT "young_rider_classification" FROM "table_name_66" WHERE "3" = "stage" AND "jesper worre" = "mountains_classification" | 0.121094 |
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 ta (campus_job_id NUMBER, student_id NUMBER, location VARCHAR2)
CREATE TABLE program (program_id NUMBER, name VARCHAR2, college VARCHAR2, introduction VARCHAR2)
CREATE TABLE course_offering (offering_id NUMBER, course_id NUMBER, semester NUMBER, section_number NUMBER, start_time TIME, end_time TIME, monday VARCHAR2, tuesday VARCHAR2, wednesday VARCHAR2, thursday VARCHAR2, friday VARCHAR2, saturday VARCHAR2, sunday VARCHAR2, has_final_project VARCHAR2, has_final_exam VARCHAR2, textbook VARCHAR2, class_address VARCHAR2, allow_audit VARCHAR2)
CREATE TABLE area (course_id NUMBER, area VARCHAR2)
CREATE TABLE requirement (requirement_id NUMBER, requirement VARCHAR2, college 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_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 course_prerequisite (pre_course_id NUMBER, course_id NUMBER)
CREATE TABLE semester (semester_id NUMBER, semester VARCHAR2, year NUMBER)
CREATE TABLE student (student_id NUMBER, lastname VARCHAR2, firstname VARCHAR2, program_id NUMBER, declare_major VARCHAR2, total_credit NUMBER, total_gpa FLOAT, entered_as VARCHAR2, admit_term NUMBER, predicted_graduation_semester NUMBER, degree VARCHAR2, minor VARCHAR2, internship VARCHAR2)
CREATE TABLE 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 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 instructor (instructor_id NUMBER, name VARCHAR2, uniqname VARCHAR2)
CREATE TABLE offering_instructor (offering_instructor_id NUMBER, offering_id NUMBER, instructor_id NUMBER)
CREATE TABLE comment_instructor (instructor_id NUMBER, student_id NUMBER, score NUMBER, comment_text VARCHAR2)
| Does a 620 lab exist ? | SELECT COUNT(*) > 0 FROM course WHERE department = 'EECS' AND has_lab = 'Y' AND number = 620 | SELECT COUNT(*) > 0 FROM "course" WHERE "department" = 'EECS' AND "has_lab" = 'Y' AND "number" = 620 | 0.097656 |
CREATE TABLE table_73438 ("Conference" CLOB, "Regular Season Winner" CLOB, "Conference Player of the Year" CLOB, "Conference Tournament" CLOB, "Tournament Venue ( City ) " CLOB, "Tournament Winner" CLOB)
| Who won the regular season when Maryland won the tournament? | SELECT "Regular Season Winner" FROM table_73438 WHERE "Tournament Winner" = 'Maryland' | SELECT "Regular Season Winner" FROM "table_73438" WHERE "Tournament Winner" = 'Maryland' | 0.085938 |
CREATE TABLE table_14436 ("Date" CLOB, "Label" CLOB, "Region" CLOB, "Format" CLOB, "Catalog" CLOB)
| Where was the 12' maxi in September 1990? | SELECT "Region" FROM table_14436 WHERE "Format" = '12" maxi' AND "Date" = 'september 1990' | SELECT "Region" FROM "table_14436" WHERE "Date" = 'september 1990' AND "Format" = '12" maxi' | 0.089844 |
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
| what is the number of patients whose insurance is medicaid and diagnoses long title is retained plastic fragments? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.insurance = "Medicaid" AND diagnoses.long_title = "Retained plastic fragments" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "Retained plastic fragments" = "diagnoses"."long_title" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" WHERE "Medicaid" = "demographic"."insurance" | 0.235352 |
CREATE TABLE table_7724 ("Basin" CLOB, "Outlet" CLOB, "Total Area" CLOB, "In-State Area" CLOB, "% In-State" CLOB)
| What is the name of the basin with an in-state area of 071 238km 2 92mi 2? | SELECT "Basin" FROM table_7724 WHERE "In-State Area" = '071 238km 2 92mi 2' | SELECT "Basin" FROM "table_7724" WHERE "In-State Area" = '071 238km 2 92mi 2' | 0.075195 |
CREATE TABLE vitalperiodic (vitalperiodicid NUMBER, patientunitstayid NUMBER, temperature NUMBER, sao2 NUMBER, heartrate NUMBER, respiration NUMBER, systemicsystolic NUMBER, systemicdiastolic NUMBER, systemicmean NUMBER, observationtime TIME)
CREATE TABLE allergy (allergyid NUMBER, patientunitstayid NUMBER, drugname CLOB, allergyname CLOB, allergytime TIME)
CREATE TABLE 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 medication (medicationid NUMBER, patientunitstayid NUMBER, drugname CLOB, dosage CLOB, routeadmin CLOB, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE microlab (microlabid NUMBER, patientunitstayid NUMBER, culturesite CLOB, organism CLOB, culturetakentime TIME)
CREATE TABLE intakeoutput (intakeoutputid NUMBER, patientunitstayid NUMBER, cellpath CLOB, celllabel CLOB, cellvaluenumeric NUMBER, intakeoutputtime TIME)
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 diagnosis (diagnosisid NUMBER, patientunitstayid NUMBER, diagnosisname CLOB, diagnosistime TIME, icd9code CLOB)
CREATE TABLE lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime TIME)
| had patient 028-40370 been admitted since 2104 in hospital? | SELECT COUNT(*) > 0 FROM patient WHERE patient.uniquepid = '028-40370' AND STRFTIME('%y', patient.hospitaladmittime) >= '2104' | SELECT COUNT(*) > 0 FROM "patient" WHERE "patient"."uniquepid" = '028-40370' AND STRFTIME('%y', "patient"."hospitaladmittime") >= '2104' | 0.132813 |
CREATE TABLE instructor (ID VARCHAR2, name VARCHAR2, dept_name VARCHAR2, salary NUMBER)
CREATE TABLE classroom (building VARCHAR2, room_number VARCHAR2, capacity NUMBER)
CREATE TABLE section (course_id VARCHAR2, sec_id VARCHAR2, semester VARCHAR2, year NUMBER, building VARCHAR2, room_number VARCHAR2, time_slot_id VARCHAR2)
CREATE TABLE prereq (course_id VARCHAR2, prereq_id VARCHAR2)
CREATE TABLE teaches (ID VARCHAR2, course_id VARCHAR2, sec_id VARCHAR2, semester VARCHAR2, year NUMBER)
CREATE TABLE time_slot (time_slot_id VARCHAR2, day VARCHAR2, start_hr NUMBER, start_min NUMBER, end_hr NUMBER, end_min NUMBER)
CREATE TABLE course (course_id VARCHAR2, title VARCHAR2, dept_name VARCHAR2, credits NUMBER)
CREATE TABLE takes (ID VARCHAR2, course_id VARCHAR2, sec_id VARCHAR2, semester VARCHAR2, year NUMBER, grade VARCHAR2)
CREATE TABLE student (ID VARCHAR2, name VARCHAR2, dept_name VARCHAR2, tot_cred NUMBER)
CREATE TABLE advisor (s_ID VARCHAR2, i_ID VARCHAR2)
CREATE TABLE department (dept_name VARCHAR2, building VARCHAR2, budget NUMBER)
| Find the number of courses that have two prerequisites for each title in a bar chart, and rank y-axis in asc order. | SELECT title, COUNT(title) FROM course AS T1 JOIN prereq AS T2 ON T1.course_id = T2.course_id GROUP BY title ORDER BY COUNT(title) | SELECT "title", COUNT("title") FROM "course" "T1" JOIN "prereq" "T2" ON "T1"."course_id" = "T2"."course_id" GROUP BY "title" ORDER BY COUNT("title") | 0.144531 |
CREATE TABLE table_54227 ("Stage" CLOB, "Winner" CLOB, "General classification" CLOB, "Points classification" CLOB, "Trofeo Fast Team" CLOB)
| Which stage was won by Bernard Hinault and had a Points classification of Francesco Moser? | SELECT "Stage" FROM table_54227 WHERE "Winner" = 'bernard hinault' AND "Points classification" = 'francesco moser' | SELECT "Stage" FROM "table_54227" WHERE "Points classification" = 'francesco moser' AND "Winner" = 'bernard hinault' | 0.113281 |
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
| how many patients are admitted under clinic referral/premature and are born before 2112? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.admission_location = "CLINIC REFERRAL/PREMATURE" AND demographic.dob_year < "2112" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "2112" > "demographic"."dob_year" AND "CLINIC REFERRAL/PREMATURE" = "demographic"."admission_location" | 0.172852 |
CREATE TABLE table_name_45 (pick__number NUMBER, college VARCHAR2)
| Which Pick # has a College of concordia? | SELECT MAX(pick__number) FROM table_name_45 WHERE college = "concordia" | SELECT MAX("pick__number") FROM "table_name_45" WHERE "college" = "concordia" | 0.075195 |
CREATE TABLE class_of_service (booking_class VARCHAR2, rank NUMBER, class_description CLOB)
CREATE TABLE date_day (month_number NUMBER, day_number NUMBER, year NUMBER, day_name VARCHAR2)
CREATE TABLE dual_carrier (main_airline VARCHAR2, low_flight_number NUMBER, high_flight_number NUMBER, dual_airline VARCHAR2, service_name CLOB)
CREATE TABLE restriction (restriction_code CLOB, advance_purchase NUMBER, stopovers CLOB, saturday_stay_required CLOB, minimum_stay NUMBER, maximum_stay NUMBER, application CLOB, no_discounts CLOB)
CREATE TABLE code_description (code VARCHAR2, description CLOB)
CREATE TABLE time_zone (time_zone_code CLOB, time_zone_name CLOB, hours_from_gmt NUMBER)
CREATE TABLE equipment_sequence (aircraft_code_sequence VARCHAR2, aircraft_code VARCHAR2)
CREATE TABLE aircraft (aircraft_code VARCHAR2, aircraft_description VARCHAR2, manufacturer VARCHAR2, basic_type VARCHAR2, engines NUMBER, propulsion VARCHAR2, wide_body VARCHAR2, wing_span NUMBER, length NUMBER, weight NUMBER, capacity NUMBER, pay_load NUMBER, cruising_speed NUMBER, range_miles NUMBER, pressurized VARCHAR2)
CREATE TABLE flight_leg (flight_id NUMBER, leg_number NUMBER, leg_flight NUMBER)
CREATE TABLE city (city_code VARCHAR2, city_name VARCHAR2, state_code VARCHAR2, country_name VARCHAR2, time_zone_code VARCHAR2)
CREATE TABLE ground_service (city_code CLOB, airport_code CLOB, transport_type CLOB, ground_fare NUMBER)
CREATE TABLE food_service (meal_code CLOB, meal_number NUMBER, compartment CLOB, meal_description VARCHAR2)
CREATE TABLE state (state_code CLOB, state_name CLOB, country_name CLOB)
CREATE TABLE days (days_code VARCHAR2, day_name VARCHAR2)
CREATE TABLE fare (fare_id NUMBER, from_airport VARCHAR2, to_airport VARCHAR2, fare_basis_code CLOB, fare_airline CLOB, restriction_code CLOB, one_direction_cost NUMBER, round_trip_cost NUMBER, round_trip_required VARCHAR2)
CREATE TABLE airline (airline_code VARCHAR2, airline_name CLOB, note CLOB)
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 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 compartment_class (compartment VARCHAR2, class_type 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 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 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 time_interval (period CLOB, begin_time NUMBER, end_time NUMBER)
| show me the cheapest flights from BALTIMORE to DALLAS | 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 = 'BALTIMORE' AND CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'DALLAS' AND flight.from_airport = AIRPORT_SERVICE_0.airport_code AND flight.to_airport = AIRPORT_SERVICE_1.airport_code) AND fare.one_direction_cost = (SELECT MIN(FAREalias1.one_direction_cost) FROM airport_service AS AIRPORT_SERVICEalias2, airport_service AS AIRPORT_SERVICEalias3, city AS CITYalias2, city AS CITYalias3, fare AS FAREalias1, flight AS FLIGHTalias1, flight_fare AS FLIGHT_FAREalias1 WHERE CITYalias2.city_code = AIRPORT_SERVICEalias2.city_code AND CITYalias2.city_name = 'BALTIMORE' AND CITYalias3.city_code = AIRPORT_SERVICEalias3.city_code AND CITYalias3.city_name = 'DALLAS' AND FLIGHT_FAREalias1.fare_id = FAREalias1.fare_id AND FLIGHTalias1.flight_id = FLIGHT_FAREalias1.flight_id AND FLIGHTalias1.from_airport = AIRPORT_SERVICEalias2.airport_code AND FLIGHTalias1.to_airport = AIRPORT_SERVICEalias3.airport_code) AND flight_fare.fare_id = fare.fare_id AND flight.flight_id = flight_fare.flight_id | WITH "_u_0" AS (SELECT MIN("FAREalias1"."one_direction_cost") FROM "airport_service" "AIRPORT_SERVICEalias2" JOIN "city" "CITYalias2" ON "AIRPORT_SERVICEalias2"."city_code" = "CITYalias2"."city_code" AND "CITYalias2"."city_name" = 'BALTIMORE' JOIN "flight" "FLIGHTalias1" ON "AIRPORT_SERVICEalias2"."airport_code" = "FLIGHTalias1"."from_airport" JOIN "airport_service" "AIRPORT_SERVICEalias3" ON "AIRPORT_SERVICEalias3"."airport_code" = "FLIGHTalias1"."to_airport" JOIN "flight_fare" "FLIGHT_FAREalias1" ON "FLIGHT_FAREalias1"."flight_id" = "FLIGHTalias1"."flight_id" JOIN "city" "CITYalias3" ON "AIRPORT_SERVICEalias3"."city_code" = "CITYalias3"."city_code" AND "CITYalias3"."city_name" = 'DALLAS' JOIN "fare" "FAREalias1" ON "FAREalias1"."fare_id" = "FLIGHT_FAREalias1"."fare_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" = 'BALTIMORE' JOIN "flight" ON "AIRPORT_SERVICE_0"."airport_code" = "flight"."from_airport" JOIN "airport_service" "AIRPORT_SERVICE_1" ON "AIRPORT_SERVICE_1"."airport_code" = "flight"."to_airport" JOIN "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" = 'DALLAS' JOIN "fare" ON "fare"."fare_id" = "flight_fare"."fare_id" JOIN "_u_0" "_u_0" ON "_u_0"."" = "fare"."one_direction_cost" | 1.43457 |
CREATE TABLE table_204_91 (id NUMBER, "year" NUMBER, "original title" CLOB, "english title" CLOB, "role" CLOB, "notes" CLOB)
| what film did malberg star in after his role in love that lives ? | SELECT "english title" FROM table_204_91 WHERE "year" > (SELECT "year" FROM table_204_91 WHERE "english title" = 'love that lives') ORDER BY "year" LIMIT 1 | SELECT "english title" FROM "table_204_91" WHERE "year" > (SELECT "year" FROM "table_204_91" WHERE "english title" = 'love that lives') ORDER BY "year" FETCH FIRST 1 ROWS ONLY | 0.170898 |
CREATE TABLE PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId NUMBER)
CREATE TABLE TagSynonyms (Id NUMBER, SourceTagName CLOB, TargetTagName CLOB, CreationDate TIME, OwnerUserId NUMBER, AutoRenameCount NUMBER, LastAutoRename TIME, Score NUMBER, ApprovedByUserId NUMBER, ApprovalDate TIME)
CREATE TABLE ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId NUMBER)
CREATE TABLE ReviewTaskStates (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
CREATE TABLE SuggestedEditVotes (Id NUMBER, SuggestedEditId NUMBER, UserId NUMBER, VoteTypeId NUMBER, CreationDate TIME, TargetUserId NUMBER, TargetRepChange NUMBER)
CREATE TABLE ReviewTaskResultTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PendingFlags (Id NUMBER, FlagTypeId NUMBER, PostId NUMBER, CreationDate TIME, CloseReasonTypeId NUMBER, CloseAsOffTopicReasonTypeId NUMBER, DuplicateOfQuestionId NUMBER, BelongsOnBaseHostAddress CLOB)
CREATE TABLE PostsWithDeleted (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE Posts (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment CLOB)
CREATE TABLE PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId NUMBER)
CREATE TABLE PostHistory (Id NUMBER, PostHistoryTypeId NUMBER, PostId NUMBER, RevisionGUID other, CreationDate TIME, UserId NUMBER, UserDisplayName CLOB, Comment CLOB, Text CLOB, ContentLicense CLOB)
CREATE TABLE Comments (Id NUMBER, PostId NUMBER, Score NUMBER, Text CLOB, CreationDate TIME, UserDisplayName CLOB, UserId NUMBER, ContentLicense CLOB)
CREATE TABLE PostTypes (Id NUMBER, Name CLOB)
CREATE TABLE ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
CREATE TABLE ReviewTaskTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostHistoryTypes (Id NUMBER, Name CLOB)
CREATE TABLE Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
CREATE TABLE VoteTypes (Id NUMBER, Name CLOB)
CREATE TABLE SuggestedEdits (Id NUMBER, PostId NUMBER, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId NUMBER, Comment CLOB, Text CLOB, Title CLOB, Tags CLOB, RevisionGUID other)
CREATE TABLE Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount NUMBER)
CREATE TABLE FlagTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
CREATE TABLE PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
CREATE TABLE PostTags (PostId NUMBER, TagId NUMBER)
CREATE TABLE CloseAsOffTopicReasonTypes (Id NUMBER, IsUniversal BOOLEAN, InputTitle CLOB, MarkdownInputGuidance CLOB, MarkdownPostOwnerGuidance CLOB, MarkdownPrivilegedUserGuidance CLOB, MarkdownConcensusDescription CLOB, CreationDate TIME, CreationModeratorId NUMBER, ApprovalDate TIME, ApprovalModeratorId NUMBER, DeactivationDate TIME, DeactivationModeratorId NUMBER)
CREATE TABLE CloseReasonTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Users (Id NUMBER, Reputation NUMBER, CreationDate TIME, DisplayName CLOB, LastAccessDate TIME, WebsiteUrl CLOB, Location CLOB, AboutMe CLOB, Views NUMBER, UpVotes NUMBER, DownVotes NUMBER, ProfileImageUrl CLOB, EmailHash CLOB, AccountId NUMBER)
| Top 20 reputation whores in PHP tag. | SELECT Users.Id AS Id, Users.DisplayName AS Nickname, COUNT(Answers.Score) * 10 AS Reputation FROM Posts AS Answers INNER JOIN Posts AS Questions ON Questions.Id = Answers.ParentId INNER JOIN Users AS Users ON Answers.OwnerUserId = Users.Id INNER JOIN PostTags ON PostTags.PostId = Answers.ParentId INNER JOIN Tags ON Tags.Id = PostTags.TagId WHERE Answers.PostTypeId = 2 AND NOT Answers.OwnerUserId IS NULL AND Tags.TagName = 'c++' AND (Questions.ClosedDate != '' OR Questions.Score < 0) GROUP BY Users.Id, Users.DisplayName ORDER BY Reputation DESC LIMIT 20 | SELECT "Users"."Id" AS "Id", "Users"."DisplayName" AS "Nickname", COUNT("Answers"."Score") * 10 AS "Reputation" FROM "Posts" "Answers" JOIN "PostTags" ON "Answers"."ParentId" = "PostTags"."PostId" JOIN "Posts" "Questions" ON "Answers"."ParentId" = "Questions"."Id" AND ("Questions"."ClosedDate" <> '' OR "Questions"."Score" < 0) JOIN "Users" "Users" ON "Answers"."OwnerUserId" = "Users"."Id" JOIN "Tags" ON "PostTags"."TagId" = "Tags"."Id" AND "Tags"."TagName" = 'c++' WHERE "Answers"."PostTypeId" = 2 AND NOT "Answers"."OwnerUserId" IS NULL GROUP BY "Users"."Id", "Users"."DisplayName" ORDER BY "Reputation" DESC FETCH FIRST 20 ROWS ONLY | 0.623047 |
CREATE TABLE table_5265 ("Date" CLOB, "Venue" CLOB, "Score" CLOB, "Result" CLOB, "Competition" CLOB)
| Where was the location for the August 29, 1980 game? | SELECT "Venue" FROM table_5265 WHERE "Date" = 'august 29, 1980' | SELECT "Venue" FROM "table_5265" WHERE "Date" = 'august 29, 1980' | 0.063477 |
CREATE TABLE patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
CREATE TABLE prescriptions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, startdate TIME, enddate TIME, drug CLOB, dose_val_rx CLOB, dose_unit_rx CLOB, route CLOB)
CREATE TABLE labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE icustays (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, first_careunit CLOB, last_careunit CLOB, first_wardid NUMBER, last_wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE admissions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, admittime TIME, dischtime TIME, admission_type CLOB, admission_location CLOB, discharge_location CLOB, insurance CLOB, language CLOB, marital_status CLOB, ethnicity CLOB, age NUMBER)
CREATE TABLE d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
CREATE TABLE microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
CREATE TABLE d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
CREATE TABLE chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE transfers (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, eventtype CLOB, careunit CLOB, wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
CREATE TABLE cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
| what is the number of patients in ward 18. | SELECT COUNT(DISTINCT admissions.subject_id) FROM admissions WHERE admissions.hadm_id IN (SELECT transfers.hadm_id FROM transfers WHERE transfers.wardid = 18) | WITH "_u_0" AS (SELECT "transfers"."hadm_id" FROM "transfers" WHERE "transfers"."wardid" = 18 GROUP BY "hadm_id") SELECT COUNT(DISTINCT "admissions"."subject_id") FROM "admissions" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "admissions"."hadm_id" WHERE NOT "_u_0"."" IS NULL | 0.263672 |
CREATE TABLE PostTypes (Id NUMBER, Name CLOB)
CREATE TABLE PostHistoryTypes (Id NUMBER, Name CLOB)
CREATE TABLE CloseAsOffTopicReasonTypes (Id NUMBER, IsUniversal BOOLEAN, InputTitle CLOB, MarkdownInputGuidance CLOB, MarkdownPostOwnerGuidance CLOB, MarkdownPrivilegedUserGuidance CLOB, MarkdownConcensusDescription CLOB, CreationDate TIME, CreationModeratorId NUMBER, ApprovalDate TIME, ApprovalModeratorId NUMBER, DeactivationDate TIME, DeactivationModeratorId NUMBER)
CREATE TABLE SuggestedEditVotes (Id NUMBER, SuggestedEditId NUMBER, UserId NUMBER, VoteTypeId NUMBER, CreationDate TIME, TargetUserId NUMBER, TargetRepChange NUMBER)
CREATE TABLE FlagTypes (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 ReviewTaskStates (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId NUMBER)
CREATE TABLE PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId NUMBER)
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 ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment CLOB)
CREATE TABLE SuggestedEdits (Id NUMBER, PostId NUMBER, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId NUMBER, Comment CLOB, Text CLOB, Title CLOB, Tags CLOB, RevisionGUID other)
CREATE TABLE Comments (Id NUMBER, PostId NUMBER, Score NUMBER, Text CLOB, CreationDate TIME, UserDisplayName CLOB, UserId NUMBER, ContentLicense CLOB)
CREATE TABLE PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
CREATE TABLE PostsWithDeleted (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
CREATE TABLE CloseReasonTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostHistory (Id NUMBER, PostHistoryTypeId NUMBER, PostId NUMBER, RevisionGUID other, CreationDate TIME, UserId NUMBER, UserDisplayName CLOB, Comment CLOB, Text CLOB, ContentLicense CLOB)
CREATE TABLE ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
CREATE TABLE VoteTypes (Id NUMBER, Name CLOB)
CREATE TABLE ReviewTaskTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Users (Id NUMBER, Reputation NUMBER, CreationDate TIME, DisplayName CLOB, LastAccessDate TIME, WebsiteUrl CLOB, Location CLOB, AboutMe CLOB, Views NUMBER, UpVotes NUMBER, DownVotes NUMBER, ProfileImageUrl CLOB, EmailHash CLOB, AccountId NUMBER)
CREATE TABLE Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
CREATE TABLE Posts (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE PendingFlags (Id NUMBER, FlagTypeId NUMBER, PostId NUMBER, CreationDate TIME, CloseReasonTypeId NUMBER, CloseAsOffTopicReasonTypeId NUMBER, DuplicateOfQuestionId NUMBER, BelongsOnBaseHostAddress CLOB)
CREATE TABLE PostTags (PostId NUMBER, TagId NUMBER)
CREATE TABLE ReviewTaskResultTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
| List of Users in a given location of rep above 10. This query lists all users in a given location sorted by reputation. | SELECT Id, Id AS "user_link", Location, Reputation FROM Users WHERE Location LIKE '%##location##%' AND Reputation > 10 ORDER BY Reputation DESC | SELECT "Id", "Id" AS "user_link", "Location", "Reputation" FROM "Users" WHERE "Location" LIKE '%##location##%' AND "Reputation" > 10 ORDER BY "Reputation" DESC | 0.155273 |
CREATE TABLE table_name_21 (time VARCHAR2, nationality VARCHAR2, heat VARCHAR2)
| What is Russia's time with a heat higher than 3? | SELECT time FROM table_name_21 WHERE nationality = "russia" AND heat > 3 | SELECT "time" FROM "table_name_21" WHERE "heat" > 3 AND "nationality" = "russia" | 0.078125 |
CREATE TABLE table_name_29 (pos VARCHAR2, driver VARCHAR2)
| What is Driver Brendan Gaughan's Pos? | SELECT pos FROM table_name_29 WHERE driver = "brendan gaughan" | SELECT "pos" FROM "table_name_29" WHERE "brendan gaughan" = "driver" | 0.066406 |
CREATE TABLE table_24039 ("Episode #" FLOAT, "Episode" FLOAT, "Title" CLOB, "Director" CLOB, "Writer" CLOB, "Original airdate" CLOB, "U.S. airdate" CLOB)
| Who is the director of the 'Adam's Family'? | SELECT "Director" FROM table_24039 WHERE "Title" = 'Adam''s Family' | SELECT "Director" FROM "table_24039" WHERE "Title" = 'Adam''s Family' | 0.067383 |
CREATE TABLE table_53954 ("Title" CLOB, "Urdu" CLOB, "Translation" CLOB, "Date" FLOAT, "Content" CLOB)
| Which title has content including mysticism, spiritualism, and a translation of the minaret of light? | SELECT "Title" FROM table_53954 WHERE "Content" = 'mysticism, spiritualism' AND "Translation" = 'the minaret of light' | SELECT "Title" FROM "table_53954" WHERE "Content" = 'mysticism, spiritualism' AND "Translation" = 'the minaret of light' | 0.117188 |
CREATE TABLE departments (DEPARTMENT_ID NUMBER, DEPARTMENT_NAME VARCHAR2, MANAGER_ID NUMBER, LOCATION_ID NUMBER)
CREATE TABLE jobs (JOB_ID VARCHAR2, JOB_TITLE VARCHAR2, MIN_SALARY NUMBER, MAX_SALARY NUMBER)
CREATE TABLE locations (LOCATION_ID NUMBER, STREET_ADDRESS VARCHAR2, POSTAL_CODE VARCHAR2, CITY VARCHAR2, STATE_PROVINCE VARCHAR2, COUNTRY_ID VARCHAR2)
CREATE TABLE regions (REGION_ID NUMBER, REGION_NAME VARCHAR2)
CREATE TABLE countries (COUNTRY_ID VARCHAR2, COUNTRY_NAME VARCHAR2, REGION_ID NUMBER)
CREATE TABLE employees (EMPLOYEE_ID NUMBER, FIRST_NAME VARCHAR2, LAST_NAME VARCHAR2, EMAIL VARCHAR2, PHONE_NUMBER VARCHAR2, HIRE_DATE DATE, JOB_ID VARCHAR2, SALARY NUMBER, COMMISSION_PCT NUMBER, MANAGER_ID NUMBER, DEPARTMENT_ID NUMBER)
CREATE TABLE job_history (EMPLOYEE_ID NUMBER, START_DATE DATE, END_DATE DATE, JOB_ID VARCHAR2, DEPARTMENT_ID NUMBER)
| For those employees whose salary is in the range of 8000 and 12000 and commission is not null or department number does not equal to 40, visualize the relationship between manager_id and department_id . | SELECT MANAGER_ID, DEPARTMENT_ID FROM employees WHERE SALARY BETWEEN 8000 AND 12000 AND COMMISSION_PCT <> "null" OR DEPARTMENT_ID <> 40 | SELECT "MANAGER_ID", "DEPARTMENT_ID" FROM "employees" WHERE ("COMMISSION_PCT" <> "null" OR "DEPARTMENT_ID" <> 40) AND ("DEPARTMENT_ID" <> 40 OR "SALARY" <= 12000) AND ("DEPARTMENT_ID" <> 40 OR "SALARY" >= 8000) | 0.205078 |
CREATE TABLE employees (EMPLOYEE_ID NUMBER, FIRST_NAME VARCHAR2, LAST_NAME VARCHAR2, EMAIL VARCHAR2, PHONE_NUMBER VARCHAR2, HIRE_DATE DATE, JOB_ID VARCHAR2, SALARY NUMBER, COMMISSION_PCT NUMBER, MANAGER_ID NUMBER, DEPARTMENT_ID NUMBER)
CREATE TABLE job_history (EMPLOYEE_ID NUMBER, START_DATE DATE, END_DATE DATE, JOB_ID VARCHAR2, DEPARTMENT_ID NUMBER)
CREATE TABLE departments (DEPARTMENT_ID NUMBER, DEPARTMENT_NAME VARCHAR2, MANAGER_ID NUMBER, LOCATION_ID NUMBER)
CREATE TABLE regions (REGION_ID NUMBER, REGION_NAME VARCHAR2)
CREATE TABLE locations (LOCATION_ID NUMBER, STREET_ADDRESS VARCHAR2, POSTAL_CODE VARCHAR2, CITY VARCHAR2, STATE_PROVINCE VARCHAR2, COUNTRY_ID VARCHAR2)
CREATE TABLE countries (COUNTRY_ID VARCHAR2, COUNTRY_NAME VARCHAR2, REGION_ID NUMBER)
CREATE TABLE jobs (JOB_ID VARCHAR2, JOB_TITLE VARCHAR2, MIN_SALARY NUMBER, MAX_SALARY NUMBER)
| For all employees who have the letters D or S in their first name, show me about the change of manager_id over hire_date in a line chart, sort by the X-axis in ascending. | SELECT HIRE_DATE, MANAGER_ID FROM employees WHERE FIRST_NAME LIKE '%D%' OR FIRST_NAME LIKE '%S%' ORDER BY HIRE_DATE | SELECT "HIRE_DATE", "MANAGER_ID" FROM "employees" WHERE "FIRST_NAME" LIKE '%D%' OR "FIRST_NAME" LIKE '%S%' ORDER BY "HIRE_DATE" | 0.124023 |
CREATE TABLE table_27647 ("Letters" CLOB, "Organization" CLOB, "Nickname" CLOB, "Founding Date" CLOB, "Founding University" CLOB, "Type" CLOB)
| If the letters is , what is the founding date? | SELECT "Founding Date" FROM table_27647 WHERE "Letters" = 'ΦΑΝ' | SELECT "Founding Date" FROM "table_27647" WHERE "Letters" = 'ΦΑΝ' | 0.063477 |
CREATE TABLE table_dev_11 ("id" NUMBER, "pregnancy_or_lactation" BOOLEAN, "systolic_blood_pressure_sbp" NUMBER, "heart_disease" BOOLEAN, "diastolic_blood_pressure_dbp" NUMBER, "smoking" BOOLEAN, "donated_plasma" BOOLEAN, "coronary_artery_disease_cad" BOOLEAN, "donated_blood" BOOLEAN, "hypertension" BOOLEAN, "NOUSE" FLOAT)
| uncontrolled hypertension ( bp > 160 / 100 mm of hg ) | SELECT * FROM table_dev_11 WHERE hypertension = 1 OR (systolic_blood_pressure_sbp > 160 OR diastolic_blood_pressure_dbp > 100) | SELECT * FROM "table_dev_11" WHERE "diastolic_blood_pressure_dbp" > 100 OR "hypertension" = 1 OR "systolic_blood_pressure_sbp" > 160 | 0.128906 |
CREATE TABLE airlines (alid NUMBER, name CLOB, iata CLOB, icao CLOB, callsign CLOB, country CLOB, active CLOB)
CREATE TABLE airports (apid NUMBER, name CLOB, city CLOB, country CLOB, x NUMBER, y NUMBER, elevation NUMBER, iata CLOB, icao CLOB)
CREATE TABLE routes (rid NUMBER, dst_apid NUMBER, dst_ap CLOB, src_apid NUMBER, src_ap CLOB, alid NUMBER, airline CLOB, codeshare CLOB)
| What is the highest elevation of an airport in the country of Iceland? | SELECT MAX(elevation) FROM airports WHERE country = 'Iceland' | SELECT MAX("elevation") FROM "airports" WHERE "country" = 'Iceland' | 0.06543 |
CREATE TABLE table_203_695 (id NUMBER, "draw" NUMBER, "artist" CLOB, "song" CLOB, "points" NUMBER, "place" CLOB)
| in the irish national final for the eurovision song contest in 1990 , the artist singing which song received third place ? | SELECT "artist" FROM table_203_695 WHERE "place" = 3 | SELECT "artist" FROM "table_203_695" WHERE "place" = 3 | 0.052734 |
CREATE TABLE table_11677691_3 (player VARCHAR2, hometown VARCHAR2)
| What player's hometown is Abilene, Texas? | SELECT player FROM table_11677691_3 WHERE hometown = "Abilene, Texas" | SELECT "player" FROM "table_11677691_3" WHERE "Abilene, Texas" = "hometown" | 0.073242 |
CREATE TABLE film_market_estimation (estimation_id NUMBER, low_estimate NUMBER, high_estimate NUMBER, film_id NUMBER, type CLOB, market_id NUMBER, year NUMBER)
CREATE TABLE market (market_id NUMBER, country CLOB, number_cities NUMBER)
CREATE TABLE film (film_id NUMBER, title CLOB, studio CLOB, director CLOB, gross_in_dollar NUMBER)
| How many markets have number of cities smaller than 300? | SELECT COUNT(*) FROM market WHERE number_cities < 300 | SELECT COUNT(*) FROM "market" WHERE "number_cities" < 300 | 0.055664 |
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 gsi (course_offering_id NUMBER, student_id 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_offering (offering_id NUMBER, course_id NUMBER, semester NUMBER, section_number NUMBER, start_time TIME, end_time TIME, monday VARCHAR2, tuesday VARCHAR2, wednesday VARCHAR2, thursday VARCHAR2, friday VARCHAR2, saturday VARCHAR2, sunday VARCHAR2, has_final_project VARCHAR2, has_final_exam VARCHAR2, textbook VARCHAR2, class_address VARCHAR2, allow_audit VARCHAR2)
CREATE TABLE student_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 requirement (requirement_id NUMBER, requirement VARCHAR2, college VARCHAR2)
CREATE TABLE program_course (program_id NUMBER, course_id NUMBER, workload NUMBER, category VARCHAR2)
CREATE TABLE ta (campus_job_id NUMBER, student_id NUMBER, location VARCHAR2)
CREATE TABLE program (program_id NUMBER, name VARCHAR2, college VARCHAR2, introduction VARCHAR2)
CREATE TABLE jobs (job_id NUMBER, job_title VARCHAR2, description VARCHAR2, requirement VARCHAR2, city VARCHAR2, state VARCHAR2, country VARCHAR2, zip NUMBER)
CREATE TABLE course (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 area (course_id NUMBER, area VARCHAR2)
CREATE TABLE comment_instructor (instructor_id NUMBER, student_id NUMBER, score NUMBER, comment_text VARCHAR2)
CREATE TABLE instructor (instructor_id NUMBER, name VARCHAR2, uniqname VARCHAR2)
CREATE TABLE semester (semester_id NUMBER, semester VARCHAR2, year NUMBER)
CREATE TABLE course_prerequisite (pre_course_id NUMBER, course_id NUMBER)
CREATE TABLE offering_instructor (offering_instructor_id NUMBER, offering_id NUMBER, instructor_id NUMBER)
CREATE TABLE program_requirement (program_id NUMBER, category VARCHAR2, min_credit NUMBER, additional_req VARCHAR2)
| Of the classes in the morning , are there any EEB 497 ? | SELECT COUNT(*) > 0 FROM course, course_offering, semester WHERE course_offering.start_time < '12:00:00' AND course_offering.start_time >= '08:00:00' AND course.course_id = course_offering.course_id AND course.department = 'EEB' AND course.number = 497 AND semester.semester = 'WN' AND semester.semester_id = course_offering.semester AND semester.year = 2016 | SELECT COUNT(*) > 0 FROM "course" JOIN "course_offering" ON "course"."course_id" = "course_offering"."course_id" AND "course_offering"."start_time" < '12:00:00' AND "course_offering"."start_time" >= '08:00:00' JOIN "semester" ON "course_offering"."semester" = "semester"."semester_id" AND "semester"."semester" = 'WN' AND "semester"."year" = 2016 WHERE "course"."department" = 'EEB' AND "course"."number" = 497 | 0.400391 |
CREATE TABLE table_name_66 (pick VARCHAR2, position VARCHAR2, name VARCHAR2)
| What pick had a wide receiver named johnny holloway? | SELECT pick FROM table_name_66 WHERE position = "wide receiver" AND name = "johnny holloway" | SELECT "pick" FROM "table_name_66" WHERE "johnny holloway" = "name" AND "position" = "wide receiver" | 0.097656 |
CREATE TABLE table_2374338_2 (serbs VARCHAR2, hungarians VARCHAR2)
| What is every value for Serbs if value for Hungarians is 9.26%? | SELECT serbs FROM table_2374338_2 WHERE hungarians = "9.26%" | SELECT "serbs" FROM "table_2374338_2" WHERE "9.26%" = "hungarians" | 0.064453 |
CREATE TABLE table_61817 ("Perpetrator" CLOB, "Date" CLOB, "Year" FLOAT, "Location" CLOB, "Country" CLOB, "Killed" FLOAT, "Additional Notes" CLOB)
| What country in Kunlong in? | SELECT "Country" FROM table_61817 WHERE "Location" = 'kunlong' | SELECT "Country" FROM "table_61817" WHERE "Location" = 'kunlong' | 0.0625 |
CREATE TABLE admissions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, admittime TIME, dischtime TIME, admission_type CLOB, admission_location CLOB, discharge_location CLOB, insurance CLOB, language CLOB, marital_status CLOB, ethnicity CLOB, age NUMBER)
CREATE TABLE prescriptions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, startdate TIME, enddate TIME, drug CLOB, dose_val_rx CLOB, dose_unit_rx CLOB, route CLOB)
CREATE TABLE labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
CREATE TABLE d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
CREATE TABLE d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
CREATE TABLE patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
CREATE TABLE chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
CREATE TABLE microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
CREATE TABLE icustays (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, first_careunit CLOB, last_careunit CLOB, first_wardid NUMBER, last_wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE transfers (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, eventtype CLOB, careunit CLOB, wardid NUMBER, intime TIME, outtime TIME)
| when was the first hospital admission time of patient 81783 that had been admitted on the clinic referral/premature? | SELECT admissions.admittime FROM admissions WHERE admissions.subject_id = 81783 AND admissions.admission_location = 'clinic referral/premature' ORDER BY admissions.admittime LIMIT 1 | SELECT "admissions"."admittime" FROM "admissions" WHERE "admissions"."admission_location" = 'clinic referral/premature' AND "admissions"."subject_id" = 81783 ORDER BY "admissions"."admittime" FETCH FIRST 1 ROWS ONLY | 0.209961 |
CREATE TABLE program (program_id NUMBER, name VARCHAR2, college VARCHAR2, introduction VARCHAR2)
CREATE TABLE ta (campus_job_id NUMBER, student_id NUMBER, location VARCHAR2)
CREATE TABLE course_offering (offering_id NUMBER, course_id NUMBER, semester NUMBER, section_number NUMBER, start_time TIME, end_time TIME, monday VARCHAR2, tuesday VARCHAR2, wednesday VARCHAR2, thursday VARCHAR2, friday VARCHAR2, saturday VARCHAR2, sunday VARCHAR2, has_final_project VARCHAR2, has_final_exam VARCHAR2, textbook VARCHAR2, class_address VARCHAR2, allow_audit VARCHAR2)
CREATE TABLE jobs (job_id NUMBER, job_title VARCHAR2, description VARCHAR2, requirement VARCHAR2, city VARCHAR2, state VARCHAR2, country VARCHAR2, zip NUMBER)
CREATE TABLE comment_instructor (instructor_id NUMBER, student_id NUMBER, score NUMBER, comment_text VARCHAR2)
CREATE TABLE course_prerequisite (pre_course_id NUMBER, course_id NUMBER)
CREATE TABLE course_tags_count (course_id NUMBER, clear_grading NUMBER, pop_quiz NUMBER, group_projects NUMBER, inspirational NUMBER, long_lectures NUMBER, extra_credit NUMBER, few_tests NUMBER, good_feedback NUMBER, tough_tests NUMBER, heavy_papers NUMBER, cares_for_students NUMBER, heavy_assignments NUMBER, respected NUMBER, participation NUMBER, heavy_reading NUMBER, tough_grader NUMBER, hilarious NUMBER, would_take_again NUMBER, good_lecture NUMBER, no_skip NUMBER)
CREATE TABLE course (course_id NUMBER, name VARCHAR2, department VARCHAR2, number VARCHAR2, credits VARCHAR2, advisory_requirement VARCHAR2, enforced_requirement VARCHAR2, description VARCHAR2, num_semesters NUMBER, num_enrolled NUMBER, has_discussion VARCHAR2, has_lab VARCHAR2, has_projects VARCHAR2, has_exams VARCHAR2, num_reviews NUMBER, clarity_score NUMBER, easiness_score NUMBER, helpfulness_score NUMBER)
CREATE TABLE program_course (program_id NUMBER, course_id NUMBER, workload NUMBER, category VARCHAR2)
CREATE TABLE instructor (instructor_id NUMBER, name VARCHAR2, uniqname VARCHAR2)
CREATE TABLE requirement (requirement_id NUMBER, requirement VARCHAR2, college VARCHAR2)
CREATE TABLE offering_instructor (offering_instructor_id NUMBER, offering_id NUMBER, instructor_id NUMBER)
CREATE TABLE semester (semester_id NUMBER, semester VARCHAR2, year NUMBER)
CREATE TABLE program_requirement (program_id NUMBER, category VARCHAR2, min_credit NUMBER, additional_req 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 area (course_id NUMBER, area VARCHAR2)
CREATE TABLE student (student_id NUMBER, lastname VARCHAR2, firstname VARCHAR2, program_id NUMBER, declare_major VARCHAR2, total_credit NUMBER, total_gpa FLOAT, entered_as VARCHAR2, admit_term NUMBER, predicted_graduation_semester NUMBER, degree VARCHAR2, minor VARCHAR2, internship VARCHAR2)
| For ELI 512 , is it always taught by either Prof. William Gehring or Prof. Peter Yaman ? | SELECT COUNT(*) = 0 FROM course, course_offering, instructor, offering_instructor WHERE (NOT instructor.name LIKE '%William Gehring%' AND NOT instructor.name LIKE '%Peter Yaman%') AND course.course_id = course_offering.course_id AND course.department = 'ELI' AND course.number = 512 AND offering_instructor.instructor_id = instructor.instructor_id AND offering_instructor.offering_id = course_offering.offering_id | SELECT COUNT(*) = 0 FROM "course" JOIN "course_offering" ON "course"."course_id" = "course_offering"."course_id" JOIN "offering_instructor" ON "course_offering"."offering_id" = "offering_instructor"."offering_id" JOIN "instructor" ON "instructor"."instructor_id" = "offering_instructor"."instructor_id" AND NOT "instructor"."name" LIKE '%Peter Yaman%' AND NOT "instructor"."name" LIKE '%William Gehring%' WHERE "course"."department" = 'ELI' AND "course"."number" = 512 | 0.457031 |
CREATE TABLE table_6984 ("Year" CLOB, "Film title used in nomination" CLOB, "Original title" CLOB, "Main Language ( s ) " CLOB, "Result" CLOB)
| For the film made in 1964: (37th), what was the result? | SELECT "Result" FROM table_6984 WHERE "Year" = '1964: (37th)' | SELECT "Result" FROM "table_6984" WHERE "Year" = '1964: (37th)' | 0.061523 |
CREATE TABLE cinema (Cinema_ID NUMBER, Name CLOB, Openning_year NUMBER, Capacity NUMBER, Location CLOB)
CREATE TABLE film (Film_ID NUMBER, Rank_in_series NUMBER, Number_in_season NUMBER, Title CLOB, Directed_by CLOB, Original_air_date CLOB, Production_code CLOB)
CREATE TABLE schedule (Cinema_ID NUMBER, Film_ID NUMBER, Date CLOB, Show_times_per_day NUMBER, Price FLOAT)
| Show how many cinemas open for each year in a line chart, and could you rank X from high to low order? | SELECT Openning_year, COUNT(Openning_year) FROM cinema ORDER BY Openning_year DESC | SELECT "Openning_year", COUNT("Openning_year") FROM "cinema" ORDER BY "Openning_year" DESC | 0.087891 |
CREATE TABLE table_name_69 (viewers__m_ NUMBER, share NUMBER)
| what is the lowest viewers (m) when the share is more than 13? | SELECT MIN(viewers__m_) FROM table_name_69 WHERE share > 13 | SELECT MIN("viewers__m_") FROM "table_name_69" WHERE "share" > 13 | 0.063477 |
CREATE TABLE semester (semester_id NUMBER, semester VARCHAR2, year NUMBER)
CREATE TABLE course_tags_count (course_id NUMBER, clear_grading NUMBER, pop_quiz NUMBER, group_projects NUMBER, inspirational NUMBER, long_lectures NUMBER, extra_credit NUMBER, few_tests NUMBER, good_feedback NUMBER, tough_tests NUMBER, heavy_papers NUMBER, cares_for_students NUMBER, heavy_assignments NUMBER, respected NUMBER, participation NUMBER, heavy_reading NUMBER, tough_grader NUMBER, hilarious NUMBER, would_take_again NUMBER, good_lecture NUMBER, no_skip NUMBER)
CREATE TABLE program_requirement (program_id NUMBER, category VARCHAR2, min_credit NUMBER, additional_req VARCHAR2)
CREATE TABLE comment_instructor (instructor_id NUMBER, student_id NUMBER, score NUMBER, comment_text VARCHAR2)
CREATE TABLE student (student_id NUMBER, lastname VARCHAR2, firstname VARCHAR2, program_id NUMBER, declare_major VARCHAR2, total_credit NUMBER, total_gpa FLOAT, entered_as VARCHAR2, admit_term NUMBER, predicted_graduation_semester NUMBER, degree VARCHAR2, minor VARCHAR2, internship VARCHAR2)
CREATE TABLE instructor (instructor_id NUMBER, name VARCHAR2, uniqname VARCHAR2)
CREATE TABLE gsi (course_offering_id NUMBER, student_id NUMBER)
CREATE TABLE course (course_id NUMBER, name VARCHAR2, department VARCHAR2, number VARCHAR2, credits VARCHAR2, advisory_requirement VARCHAR2, enforced_requirement VARCHAR2, description VARCHAR2, num_semesters NUMBER, num_enrolled NUMBER, has_discussion VARCHAR2, has_lab VARCHAR2, has_projects VARCHAR2, has_exams VARCHAR2, num_reviews NUMBER, clarity_score NUMBER, easiness_score NUMBER, helpfulness_score NUMBER)
CREATE TABLE offering_instructor (offering_instructor_id NUMBER, offering_id NUMBER, instructor_id NUMBER)
CREATE TABLE ta (campus_job_id NUMBER, student_id NUMBER, location VARCHAR2)
CREATE TABLE program (program_id NUMBER, name VARCHAR2, college VARCHAR2, introduction VARCHAR2)
CREATE TABLE course_prerequisite (pre_course_id NUMBER, course_id NUMBER)
CREATE TABLE 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 area (course_id NUMBER, area VARCHAR2)
CREATE TABLE program_course (program_id NUMBER, course_id NUMBER, workload NUMBER, category VARCHAR2)
CREATE TABLE jobs (job_id NUMBER, job_title VARCHAR2, description VARCHAR2, requirement VARCHAR2, city VARCHAR2, state VARCHAR2, country VARCHAR2, zip NUMBER)
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 requirement (requirement_id NUMBER, requirement VARCHAR2, college VARCHAR2)
| For MUSPERF 591 is MUSPERF 200 is necessary ? | SELECT COUNT(*) > 0 FROM course AS COURSE_0, course AS COURSE_1, course_prerequisite WHERE COURSE_0.course_id = course_prerequisite.pre_course_id AND COURSE_0.department = 'MUSPERF' AND COURSE_0.number = 200 AND COURSE_1.course_id = course_prerequisite.course_id AND COURSE_1.department = 'MUSPERF' AND COURSE_1.number = 591 | SELECT COUNT(*) > 0 FROM "course" "COURSE_0" JOIN "course_prerequisite" ON "COURSE_0"."course_id" = "course_prerequisite"."pre_course_id" JOIN "course" "COURSE_1" ON "COURSE_1"."course_id" = "course_prerequisite"."course_id" AND "COURSE_1"."department" = 'MUSPERF' AND "COURSE_1"."number" = 591 WHERE "COURSE_0"."department" = 'MUSPERF' AND "COURSE_0"."number" = 200 | 0.357422 |
CREATE TABLE allergy (allergyid NUMBER, patientunitstayid NUMBER, drugname CLOB, allergyname CLOB, allergytime TIME)
CREATE TABLE intakeoutput (intakeoutputid NUMBER, patientunitstayid NUMBER, cellpath CLOB, celllabel CLOB, cellvaluenumeric NUMBER, intakeoutputtime TIME)
CREATE TABLE 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 diagnosis (diagnosisid NUMBER, patientunitstayid NUMBER, diagnosisname CLOB, diagnosistime TIME, icd9code CLOB)
CREATE TABLE vitalperiodic (vitalperiodicid NUMBER, patientunitstayid NUMBER, temperature NUMBER, sao2 NUMBER, heartrate NUMBER, respiration NUMBER, systemicsystolic NUMBER, systemicdiastolic NUMBER, systemicmean NUMBER, observationtime TIME)
CREATE TABLE 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 medication (medicationid NUMBER, patientunitstayid NUMBER, drugname CLOB, dosage CLOB, routeadmin CLOB, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE microlab (microlabid NUMBER, patientunitstayid NUMBER, culturesite CLOB, organism CLOB, culturetakentime TIME)
CREATE TABLE lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime TIME)
| when did patient 021-240586's systemicmean last measure on 10/14/2101? | SELECT vitalperiodic.observationtime FROM vitalperiodic WHERE vitalperiodic.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '021-240586')) AND NOT vitalperiodic.systemicmean IS NULL AND STRFTIME('%y-%m-%d', vitalperiodic.observationtime) = '2101-10-14' ORDER BY vitalperiodic.observationtime DESC LIMIT 1 | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '021-240586' 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 "vitalperiodic"."observationtime" FROM "vitalperiodic" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "vitalperiodic"."patientunitstayid" WHERE NOT "_u_1"."" IS NULL AND NOT "vitalperiodic"."systemicmean" IS NULL AND STRFTIME('%y-%m-%d', "vitalperiodic"."observationtime") = '2101-10-14' ORDER BY "vitalperiodic"."observationtime" DESC FETCH FIRST 1 ROWS ONLY | 0.697266 |
CREATE TABLE table_41293 ("Place" CLOB, "Player" CLOB, "Country" CLOB, "Score" CLOB, "To par" CLOB)
| What is the To par, when the Player is Loren Roberts? | SELECT "To par" FROM table_41293 WHERE "Player" = 'loren roberts' | SELECT "To par" FROM "table_41293" WHERE "Player" = 'loren roberts' | 0.06543 |
CREATE TABLE train_station (Train_ID NUMBER, Station_ID NUMBER)
CREATE TABLE station (Station_ID NUMBER, Name CLOB, Annual_entry_exit FLOAT, Annual_interchanges FLOAT, Total_Passengers FLOAT, Location CLOB, Main_Services CLOB, Number_of_Platforms NUMBER)
CREATE TABLE train (Train_ID NUMBER, Name CLOB, Time CLOB, Service CLOB)
| Show the names and total passengers for all train stations not in London. Plot them as a pie chart. | SELECT Name, Total_Passengers FROM station WHERE Location <> 'London' | SELECT "Name", "Total_Passengers" FROM "station" WHERE "Location" <> 'London' | 0.075195 |
CREATE TABLE table_48080 ("Total Points" FLOAT, "Name" CLOB, "Career Games" CLOB, "Position" CLOB, "Years Played" CLOB, "Scored 1 , 500 Points" CLOB, "Date and Opponent" CLOB)
| WHich Scored 1,500 Points has a Years Played of 2004 2008 and a Name of jolene anderson? | SELECT "Scored 1,500 Points" FROM table_48080 WHERE "Years Played" = '2004–2008' AND "Name" = 'jolene anderson' | SELECT "Scored 1,500 Points" FROM "table_48080" WHERE "Name" = 'jolene anderson' AND "Years Played" = '2004–2008' | 0.110352 |
CREATE TABLE admissions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, admittime TIME, dischtime TIME, admission_type CLOB, admission_location CLOB, discharge_location CLOB, insurance CLOB, language CLOB, marital_status CLOB, ethnicity CLOB, age NUMBER)
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
CREATE TABLE d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
CREATE TABLE microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name 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 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 diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE icustays (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, first_careunit CLOB, last_careunit CLOB, first_wardid NUMBER, last_wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
CREATE TABLE inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
CREATE TABLE chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
CREATE TABLE labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
| how many times have patient 75762 been treated with lumb/lmbsac fus ant/post on their first hospital visit? | SELECT COUNT(*) FROM procedures_icd WHERE procedures_icd.icd9_code = (SELECT d_icd_procedures.icd9_code FROM d_icd_procedures WHERE d_icd_procedures.short_title = 'lumb/lmbsac fus ant/post') AND procedures_icd.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 75762 AND NOT admissions.dischtime IS NULL ORDER BY admissions.admittime LIMIT 1) | WITH "_u_1" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 75762 AND NOT "admissions"."dischtime" IS NULL GROUP BY "hadm_id" ORDER BY "admissions"."admittime" FETCH FIRST 1 ROWS ONLY) SELECT COUNT(*) FROM "procedures_icd" JOIN "d_icd_procedures" ON "d_icd_procedures"."icd9_code" = "procedures_icd"."icd9_code" AND "d_icd_procedures"."short_title" = 'lumb/lmbsac fus ant/post' LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "procedures_icd"."hadm_id" WHERE NOT "_u_1"."" IS NULL | 0.49707 |
CREATE TABLE table_46844 ("Year" FLOAT, "Album" CLOB, "Vocals" CLOB, "Bass" CLOB, "Drums" CLOB, "Label" CLOB)
| Who played bass in 1994 for the Atlantic label? | SELECT "Bass" FROM table_46844 WHERE "Label" = 'atlantic' AND "Year" = '1994' | SELECT "Bass" FROM "table_46844" WHERE "Label" = 'atlantic' AND "Year" = '1994' | 0.077148 |
CREATE TABLE table_22355_11 (rank VARCHAR2, athlete VARCHAR2)
| What rank did the nation with athlete peter snell category:articles with hcards have? | SELECT COUNT(rank) FROM table_22355_11 WHERE athlete = "Peter Snell Category:Articles with hCards" | SELECT COUNT("rank") FROM "table_22355_11" WHERE "Peter Snell Category:Articles with hCards" = "athlete" | 0.101563 |
CREATE TABLE table_7170 ("Name" CLOB, "Street address" CLOB, "Years as tallest" CLOB, "Height m / ft" CLOB, "Floors" FLOAT)
| How many floors have 207 w. hastings st. as the address? | SELECT COUNT("Floors") FROM table_7170 WHERE "Street address" = '207 w. hastings st.' | SELECT COUNT("Floors") FROM "table_7170" WHERE "Street address" = '207 w. hastings st.' | 0.084961 |
CREATE TABLE table_name_69 (result VARCHAR2, year VARCHAR2, award VARCHAR2)
| What was the result for song of the year award in 1994? | SELECT result FROM table_name_69 WHERE year = 1994 AND award = "song of the year" | SELECT "result" FROM "table_name_69" WHERE "award" = "song of the year" AND "year" = 1994 | 0.086914 |
CREATE TABLE table_60679 ("Name" CLOB, "Wikis" CLOB, "Web publishing" CLOB, "Calendaring software" CLOB, "Project Management" CLOB, "Workflow system" CLOB, "Document Management" CLOB, "List Management" CLOB, "XML Forms Management and workflow" CLOB, "Discussion" CLOB, "Blogs" CLOB, "Surveys" CLOB, "Time Tracking" CLOB, "Business Intelligence" CLOB, "Charting" CLOB, "Bookmarking , Tagging , Rating and Comments" CLOB, "Social software" CLOB, "Enterprise search" CLOB, "Office suite" CLOB)
| WHAT IS THE BOOKMARKING, TAGGING, RATING AND COMMENTS WITH NO LIST MANAGEMENT, NO CHARTING, NO WEB PUBLISHING, OF MICROSOFT EXCHANGE SERVER? | SELECT "Bookmarking, Tagging, Rating and Comments" FROM table_60679 WHERE "List Management" = 'no' AND "Charting" = 'no' AND "Web publishing" = 'no' AND "Name" = 'microsoft exchange server' | SELECT "Bookmarking, Tagging, Rating and Comments" FROM "table_60679" WHERE "Charting" = 'no' AND "List Management" = 'no' AND "Name" = 'microsoft exchange server' AND "Web publishing" = 'no' | 0.186523 |
CREATE TABLE table_name_59 (nickname VARCHAR2, club VARCHAR2)
| What was the nickname of the team in the Geelong West Cricket & Football Club? | SELECT nickname FROM table_name_59 WHERE club = "geelong west cricket & football club" | SELECT "nickname" FROM "table_name_59" WHERE "club" = "geelong west cricket & football club" | 0.089844 |
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
| provide the number of patients whose admission type is urgent and procedure long title is arteriography of cerebral arteries? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.admission_type = "URGENT" AND procedures.long_title = "Arteriography of cerebral arteries" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "procedures" ON "Arteriography of cerebral arteries" = "procedures"."long_title" AND "demographic"."hadm_id" = "procedures"."hadm_id" WHERE "URGENT" = "demographic"."admission_type" | 0.249023 |
CREATE TABLE table_11869952_3 (mission VARCHAR2, launch_date VARCHAR2)
| Which missions were scheduled to launch on November 16, 2006? | SELECT mission FROM table_11869952_3 WHERE launch_date = "November 16, 2006" | SELECT "mission" FROM "table_11869952_3" WHERE "November 16, 2006" = "launch_date" | 0.080078 |
CREATE TABLE table_1269 ("Name" CLOB, "Position" CLOB, "Number" CLOB, "School/Club Team" CLOB, "Season" CLOB, "Acquisition via" CLOB)
| Name the school/club team for 9 | SELECT "School/Club Team" FROM table_1269 WHERE "Number" = '9' | SELECT "School/Club Team" FROM "table_1269" WHERE "Number" = '9' | 0.0625 |
CREATE TABLE table_2268216_1 (year VARCHAR2, team VARCHAR2, manufacturer VARCHAR2)
| How many years was Pontiac the manufacturer for Joe Gibbs Racing? | SELECT COUNT(year) FROM table_2268216_1 WHERE team = "Joe Gibbs Racing" AND manufacturer = "Pontiac" | SELECT COUNT("year") FROM "table_2268216_1" WHERE "Joe Gibbs Racing" = "team" AND "Pontiac" = "manufacturer" | 0.105469 |
CREATE TABLE state (state_code CLOB, state_name CLOB, country_name CLOB)
CREATE TABLE airport_service (city_code VARCHAR2, airport_code VARCHAR2, miles_distant NUMBER, direction VARCHAR2, minutes_distant NUMBER)
CREATE TABLE ground_service (city_code CLOB, airport_code CLOB, transport_type CLOB, ground_fare NUMBER)
CREATE TABLE class_of_service (booking_class VARCHAR2, rank NUMBER, class_description CLOB)
CREATE TABLE month (month_number NUMBER, month_name CLOB)
CREATE TABLE food_service (meal_code CLOB, meal_number NUMBER, compartment CLOB, meal_description VARCHAR2)
CREATE TABLE date_day (month_number NUMBER, day_number NUMBER, year NUMBER, 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 days (days_code VARCHAR2, day_name VARCHAR2)
CREATE TABLE restriction (restriction_code CLOB, advance_purchase NUMBER, stopovers CLOB, saturday_stay_required CLOB, minimum_stay NUMBER, maximum_stay NUMBER, application CLOB, no_discounts CLOB)
CREATE TABLE time_interval (period CLOB, begin_time NUMBER, end_time NUMBER)
CREATE TABLE compartment_class (compartment VARCHAR2, class_type VARCHAR2)
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 equipment_sequence (aircraft_code_sequence VARCHAR2, aircraft_code VARCHAR2)
CREATE TABLE aircraft (aircraft_code VARCHAR2, aircraft_description VARCHAR2, manufacturer VARCHAR2, basic_type VARCHAR2, engines NUMBER, propulsion VARCHAR2, wide_body VARCHAR2, wing_span NUMBER, length NUMBER, weight NUMBER, capacity NUMBER, pay_load NUMBER, cruising_speed NUMBER, range_miles NUMBER, pressurized VARCHAR2)
CREATE TABLE flight_leg (flight_id NUMBER, leg_number NUMBER, leg_flight 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 dual_carrier (main_airline VARCHAR2, low_flight_number NUMBER, high_flight_number NUMBER, dual_airline VARCHAR2, service_name CLOB)
CREATE TABLE fare_basis (fare_basis_code CLOB, booking_class CLOB, class_type CLOB, premium CLOB, economy CLOB, discounted CLOB, night CLOB, season CLOB, basis_days CLOB)
CREATE TABLE 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 code_description (code VARCHAR2, description 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 airport (airport_code VARCHAR2, airport_name CLOB, airport_location CLOB, state_code VARCHAR2, country_name VARCHAR2, time_zone_code VARCHAR2, minimum_connect_time NUMBER)
| how many flights does each airline have with BUSINESS class service | SELECT DISTINCT COUNT(*), flight.airline_code FROM fare, fare_basis, flight, flight_fare WHERE fare_basis.class_type = 'BUSINESS' AND fare.fare_basis_code = fare_basis.fare_basis_code AND flight_fare.fare_id = fare.fare_id AND flight.flight_id = flight_fare.flight_id GROUP BY flight.airline_code | SELECT DISTINCT COUNT(*), "flight"."airline_code" FROM "fare" JOIN "fare_basis" ON "fare"."fare_basis_code" = "fare_basis"."fare_basis_code" AND "fare_basis"."class_type" = 'BUSINESS' JOIN "flight_fare" ON "fare"."fare_id" = "flight_fare"."fare_id" JOIN "flight" ON "flight"."flight_id" = "flight_fare"."flight_id" GROUP BY "flight"."airline_code" | 0.338867 |
CREATE TABLE table_44636 ("State" CLOB, "Type" CLOB, "Name" CLOB, "Title" CLOB, "Royal house" CLOB, "From" CLOB)
| What type is You from the state of Chen? | SELECT "Type" FROM table_44636 WHERE "State" = 'chen' AND "Name" = 'you' | SELECT "Type" FROM "table_44636" WHERE "Name" = 'you' AND "State" = 'chen' | 0.072266 |
CREATE TABLE table_name_19 (player VARCHAR2, total VARCHAR2)
| Which player has a total of 160? | SELECT player FROM table_name_19 WHERE total = 160 | SELECT "player" FROM "table_name_19" WHERE "total" = 160 | 0.054688 |
CREATE TABLE table_45346 ("Week" FLOAT, "Date" CLOB, "Opponent" CLOB, "Location" CLOB, "Final Score" CLOB, "Attendance" CLOB, "Record" CLOB)
| Who did the argonauts play against during the game that had 19,423 fans in attendance? | SELECT "Opponent" FROM table_45346 WHERE "Attendance" = '19,423' | SELECT "Opponent" FROM "table_45346" WHERE "Attendance" = '19,423' | 0.064453 |
CREATE TABLE table_632 ("Client" CLOB, "Years of Operation" CLOB, "Area of Operation" CLOB, "Country" CLOB, "Services" CLOB)
| In what country is the El Hamada area of operation? | SELECT "Country" FROM table_632 WHERE "Area of Operation" = 'El Hamada' | SELECT "Country" FROM "table_632" WHERE "Area of Operation" = 'El Hamada' | 0.071289 |
CREATE TABLE table_name_11 (country VARCHAR2, city VARCHAR2)
| What country is Istanbul in? | SELECT country FROM table_name_11 WHERE city = "istanbul" | SELECT "country" FROM "table_name_11" WHERE "city" = "istanbul" | 0.061523 |
CREATE TABLE departments (DEPARTMENT_ID NUMBER, DEPARTMENT_NAME VARCHAR2, MANAGER_ID NUMBER, LOCATION_ID NUMBER)
CREATE TABLE employees (EMPLOYEE_ID NUMBER, FIRST_NAME VARCHAR2, LAST_NAME VARCHAR2, EMAIL VARCHAR2, PHONE_NUMBER VARCHAR2, HIRE_DATE DATE, JOB_ID VARCHAR2, SALARY NUMBER, COMMISSION_PCT NUMBER, MANAGER_ID NUMBER, DEPARTMENT_ID NUMBER)
CREATE TABLE locations (LOCATION_ID NUMBER, STREET_ADDRESS VARCHAR2, POSTAL_CODE VARCHAR2, CITY VARCHAR2, STATE_PROVINCE VARCHAR2, COUNTRY_ID VARCHAR2)
CREATE TABLE regions (REGION_ID NUMBER, REGION_NAME VARCHAR2)
CREATE TABLE countries (COUNTRY_ID VARCHAR2, COUNTRY_NAME VARCHAR2, REGION_ID NUMBER)
CREATE TABLE job_history (EMPLOYEE_ID NUMBER, START_DATE DATE, END_DATE DATE, JOB_ID VARCHAR2, DEPARTMENT_ID NUMBER)
CREATE TABLE jobs (JOB_ID VARCHAR2, JOB_TITLE VARCHAR2, MIN_SALARY NUMBER, MAX_SALARY NUMBER)
| For those employees who was hired before 2002-06-21, visualize a line chart about the change of manager_id over hire_date . | SELECT HIRE_DATE, MANAGER_ID FROM employees WHERE HIRE_DATE < '2002-06-21' | SELECT "HIRE_DATE", "MANAGER_ID" FROM "employees" WHERE "HIRE_DATE" < '2002-06-21' | 0.080078 |
CREATE TABLE table_3354 ("meas. num." FLOAT, "passed" CLOB, "YES votes" FLOAT, "NO votes" FLOAT, "% YES" CLOB, "Const. Amd.?" CLOB, "type" CLOB, "description" CLOB)
| What is every entry for passed when NO votes is 312187? | SELECT "passed" FROM table_3354 WHERE "NO votes" = '312187' | SELECT "passed" FROM "table_3354" WHERE "NO votes" = '312187' | 0.05957 |
CREATE TABLE table_name_27 (sprint_points VARCHAR2, total_points VARCHAR2)
| How many sprint points contribute to 2 total points? | SELECT sprint_points FROM table_name_27 WHERE total_points = "2" | SELECT "sprint_points" FROM "table_name_27" WHERE "2" = "total_points" | 0.068359 |
CREATE TABLE table_2357201_1 (open_cup VARCHAR2, year VARCHAR2)
| How did Cleveland do in the Open Cup in 2009? | SELECT open_cup FROM table_2357201_1 WHERE year = 2009 | SELECT "open_cup" FROM "table_2357201_1" WHERE "year" = 2009 | 0.058594 |
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
| what is the admission time and diagnosis long title for the patient id 2560? | SELECT demographic.admittime, diagnoses.long_title FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.subject_id = "2560" | SELECT "demographic"."admittime", "diagnoses"."long_title" FROM "demographic" JOIN "diagnoses" ON "demographic"."hadm_id" = "diagnoses"."hadm_id" WHERE "2560" = "demographic"."subject_id" | 0.182617 |
CREATE TABLE table_name_95 (club VARCHAR2, league_division VARCHAR2)
| What club has a league/division of fourth division? | SELECT club FROM table_name_95 WHERE league_division = "fourth division" | SELECT "club" FROM "table_name_95" WHERE "fourth division" = "league_division" | 0.076172 |
CREATE TABLE table_37713 ("Score" CLOB, "Opposition" CLOB, "Venue" CLOB, "City" CLOB, "Year" FLOAT)
| What was the score for 1911? | SELECT "Score" FROM table_37713 WHERE "Year" = '1911' | SELECT "Score" FROM "table_37713" WHERE "Year" = '1911' | 0.053711 |
CREATE TABLE authorship (instid VARCHAR2, paperid VARCHAR2)
CREATE TABLE papers (paperid VARCHAR2)
CREATE TABLE inst (country VARCHAR2, instid VARCHAR2)
| Retrieve the country that has published the most papers. | SELECT t1.country FROM inst AS t1 JOIN authorship AS t2 ON t1.instid = t2.instid JOIN papers AS t3 ON t2.paperid = t3.paperid GROUP BY t1.country ORDER BY COUNT(*) DESC LIMIT 1 | SELECT "t1"."country" FROM "inst" "t1" JOIN "authorship" "t2" ON "t1"."instid" = "t2"."instid" JOIN "papers" "t3" ON "t2"."paperid" = "t3"."paperid" GROUP BY "t1"."country" ORDER BY COUNT(*) DESC FETCH FIRST 1 ROWS ONLY | 0.213867 |
CREATE TABLE intakeoutput (intakeoutputid NUMBER, patientunitstayid NUMBER, cellpath CLOB, celllabel CLOB, cellvaluenumeric NUMBER, intakeoutputtime TIME)
CREATE TABLE vitalperiodic (vitalperiodicid NUMBER, patientunitstayid NUMBER, temperature NUMBER, sao2 NUMBER, heartrate NUMBER, respiration NUMBER, systemicsystolic NUMBER, systemicdiastolic NUMBER, systemicmean NUMBER, observationtime TIME)
CREATE TABLE treatment (treatmentid NUMBER, patientunitstayid NUMBER, treatmentname CLOB, treatmenttime TIME)
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 cost (costid NUMBER, uniquepid CLOB, patienthealthsystemstayid NUMBER, eventtype CLOB, eventid NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE microlab (microlabid NUMBER, patientunitstayid NUMBER, culturesite CLOB, organism CLOB, culturetakentime TIME)
CREATE TABLE patient (uniquepid CLOB, patienthealthsystemstayid NUMBER, patientunitstayid NUMBER, gender CLOB, age CLOB, ethnicity CLOB, hospitalid NUMBER, wardid NUMBER, admissionheight NUMBER, admissionweight NUMBER, dischargeweight NUMBER, hospitaladmittime TIME, hospitaladmitsource CLOB, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus CLOB)
CREATE TABLE 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)
| calculate the number of patients who were dead after being diagnosed with coagulopathy within the same month until 1 year ago. | SELECT COUNT(DISTINCT t2.uniquepid) FROM (SELECT t1.uniquepid, t1.diagnosistime FROM (SELECT patient.uniquepid, diagnosis.diagnosistime FROM diagnosis JOIN patient ON diagnosis.patientunitstayid = patient.patientunitstayid WHERE diagnosis.diagnosisname = 'coagulopathy') AS t1 GROUP BY t1.uniquepid HAVING MIN(t1.diagnosistime) = t1.diagnosistime AND DATETIME(t1.diagnosistime) <= DATETIME(CURRENT_TIME(), '-1 year')) AS t2 JOIN (SELECT patient.uniquepid, patient.patienthealthsystemstayid, patient.hospitaldischargetime FROM patient WHERE patient.hospitaldischargestatus = 'expired') AS t3 ON t2.uniquepid = t3.uniquepid WHERE DATETIME(t2.diagnosistime, 'start of month') = DATETIME(t3.hospitaldischargetime, 'start of month') | WITH "t2" AS (SELECT "patient"."uniquepid", "diagnosis"."diagnosistime" FROM "diagnosis" JOIN "patient" ON "diagnosis"."patientunitstayid" = "patient"."patientunitstayid" WHERE "diagnosis"."diagnosisname" = 'coagulopathy' GROUP BY "patient"."uniquepid" HAVING "diagnosis"."diagnosistime" = MIN("diagnosis"."diagnosistime") AND DATETIME("diagnosis"."diagnosistime") <= DATETIME(CURRENT_TIME(), '-1 year')) SELECT COUNT(DISTINCT "t2"."uniquepid") FROM "t2" "t2" JOIN "patient" ON "patient"."hospitaldischargestatus" = 'expired' AND "patient"."uniquepid" = "t2"."uniquepid" AND DATETIME("patient"."hospitaldischargetime", 'start of month') = DATETIME("t2"."diagnosistime", 'start of month') | 0.670898 |
CREATE TABLE allergy (allergyid NUMBER, patientunitstayid NUMBER, drugname CLOB, allergyname CLOB, allergytime TIME)
CREATE TABLE microlab (microlabid NUMBER, patientunitstayid NUMBER, culturesite CLOB, organism CLOB, culturetakentime TIME)
CREATE TABLE medication (medicationid NUMBER, patientunitstayid NUMBER, drugname CLOB, dosage CLOB, routeadmin CLOB, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE intakeoutput (intakeoutputid NUMBER, patientunitstayid NUMBER, cellpath CLOB, celllabel CLOB, cellvaluenumeric NUMBER, intakeoutputtime TIME)
CREATE TABLE vitalperiodic (vitalperiodicid NUMBER, patientunitstayid NUMBER, temperature NUMBER, sao2 NUMBER, heartrate NUMBER, respiration NUMBER, systemicsystolic NUMBER, systemicdiastolic NUMBER, systemicmean NUMBER, observationtime TIME)
CREATE TABLE 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 cost (costid NUMBER, uniquepid CLOB, patienthealthsystemstayid NUMBER, eventtype CLOB, eventid NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE diagnosis (diagnosisid NUMBER, patientunitstayid NUMBER, diagnosisname CLOB, diagnosistime TIME, icd9code CLOB)
CREATE TABLE lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime TIME)
| what are the four most common lab tests that followed in the same hospital visit for a patient who received alpha/beta blocker - carvedilol until 2104? | SELECT t3.labname FROM (SELECT t2.labname, DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS c1 FROM (SELECT patient.uniquepid, treatment.treatmenttime, patient.patienthealthsystemstayid FROM treatment JOIN patient ON treatment.patientunitstayid = patient.patientunitstayid WHERE treatment.treatmentname = 'alpha/beta blocker - carvedilol' AND STRFTIME('%y', treatment.treatmenttime) <= '2104') AS t1 JOIN (SELECT patient.uniquepid, lab.labname, lab.labresulttime, patient.patienthealthsystemstayid FROM lab JOIN patient ON lab.patientunitstayid = patient.patientunitstayid WHERE STRFTIME('%y', lab.labresulttime) <= '2104') AS t2 ON t1.uniquepid = t2.uniquepid WHERE t1.treatmenttime < t2.labresulttime AND t1.patienthealthsystemstayid = t2.patienthealthsystemstayid GROUP BY t2.labname) AS t3 WHERE t3.c1 <= 4 | WITH "t2" AS (SELECT "patient"."uniquepid", "lab"."labname", "lab"."labresulttime", "patient"."patienthealthsystemstayid" FROM "lab" JOIN "patient" ON "lab"."patientunitstayid" = "patient"."patientunitstayid" WHERE STRFTIME('%y', "lab"."labresulttime") <= '2104'), "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"."patienthealthsystemstayid" = "t2"."patienthealthsystemstayid" AND "patient"."uniquepid" = "t2"."uniquepid" AND "t2"."labresulttime" > "treatment"."treatmenttime" WHERE "treatment"."treatmentname" = 'alpha/beta blocker - carvedilol' AND STRFTIME('%y', "treatment"."treatmenttime") <= '2104' GROUP BY "t2"."labname") SELECT "t3"."labname" FROM "t3" "t3" WHERE "t3"."c1" <= 4 | 0.828125 |
CREATE TABLE train (Train_ID NUMBER, Train_Num CLOB, Name CLOB, From CLOB, Arrival CLOB, Railway_ID NUMBER)
CREATE TABLE railway_manage (Railway_ID NUMBER, Manager_ID NUMBER, From_Year CLOB)
CREATE TABLE manager (Manager_ID NUMBER, Name CLOB, Country CLOB, Working_year_starts CLOB, Age NUMBER, Level NUMBER)
CREATE TABLE railway (Railway_ID NUMBER, Railway CLOB, Builder CLOB, Built CLOB, Wheels CLOB, Location CLOB, ObjectNumber CLOB)
| Compare the total number of trains in each name by a bar graph, sort y-axis in desc order. | SELECT Name, COUNT(Name) FROM train GROUP BY Name ORDER BY COUNT(Name) DESC | SELECT "Name", COUNT("Name") FROM "train" GROUP BY "Name" ORDER BY COUNT("Name") DESC | 0.083008 |
CREATE TABLE table_name_48 (assists NUMBER, goals NUMBER)
| what is the most assists when the goals is less than 0? | SELECT MAX(assists) FROM table_name_48 WHERE goals < 0 | SELECT MAX("assists") FROM "table_name_48" WHERE "goals" < 0 | 0.058594 |
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