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CREATE TABLE table_46139 ("Title" CLOB, "Author" CLOB, "ISBN UK" CLOB, "ISBN US" CLOB, "TV companions featured" CLOB)
| What is ISBN UK, when Author is 'Dave Martin', and when ISBN US is 'N/A'? | SELECT "ISBN UK" FROM table_46139 WHERE "Author" = 'dave martin' AND "ISBN US" = 'n/a' | SELECT "ISBN UK" FROM "table_46139" WHERE "Author" = 'dave martin' AND "ISBN US" = 'n/a' | 0.085938 |
CREATE TABLE table_name_14 (result VARCHAR2, week VARCHAR2, date VARCHAR2)
| What was the result of the game after Week 13 on December 8, 1991? | SELECT result FROM table_name_14 WHERE week > 13 AND date = "december 8, 1991" | SELECT "result" FROM "table_name_14" WHERE "date" = "december 8, 1991" AND "week" > 13 | 0.083984 |
CREATE TABLE table_name_85 (player VARCHAR2, country VARCHAR2, total VARCHAR2)
| Which player played in the united states and scored a total of 144 points? | SELECT player FROM table_name_85 WHERE country = "united states" AND total = 144 | SELECT "player" FROM "table_name_85" WHERE "country" = "united states" AND "total" = 144 | 0.085938 |
CREATE TABLE table_59329 ("Years" CLOB, "Type" CLOB, "Original code" CLOB, "Current code" CLOB, "Location" CLOB)
| What is the location for the club trophy from the year 1867 only? | SELECT "Location" FROM table_59329 WHERE "Type" = 'club trophy' AND "Years" = '1867 only' | SELECT "Location" FROM "table_59329" WHERE "Type" = 'club trophy' AND "Years" = '1867 only' | 0.088867 |
CREATE TABLE table_69408 ("Date" CLOB, "Venue" CLOB, "Score" CLOB, "Result" CLOB, "Competition" CLOB)
| What date has the competition of uefa euro 2012 qualifying? | SELECT "Date" FROM table_69408 WHERE "Competition" = 'uefa euro 2012 qualifying' | SELECT "Date" FROM "table_69408" WHERE "Competition" = 'uefa euro 2012 qualifying' | 0.080078 |
CREATE TABLE skills_required_to_fix (part_fault_id NUMBER, skill_id NUMBER)
CREATE TABLE fault_log (fault_log_entry_id NUMBER, asset_id NUMBER, recorded_by_staff_id NUMBER, fault_log_entry_datetime TIME, fault_description CLOB, other_fault_details CLOB)
CREATE TABLE skills (skill_id NUMBER, skill_code CLOB, skill_description CLOB)
CREATE TABLE assets (asset_id NUMBER, maintenance_contract_id NUMBER, supplier_company_id NUMBER, asset_details CLOB, asset_make CLOB, asset_model CLOB, asset_acquired_date TIME, asset_disposed_date TIME, other_asset_details CLOB)
CREATE TABLE staff (staff_id NUMBER, staff_name CLOB, gender CLOB, other_staff_details CLOB)
CREATE TABLE maintenance_engineers (engineer_id NUMBER, company_id NUMBER, first_name CLOB, last_name CLOB, other_details CLOB)
CREATE TABLE engineer_skills (engineer_id NUMBER, skill_id NUMBER)
CREATE TABLE fault_log_parts (fault_log_entry_id NUMBER, part_fault_id NUMBER, fault_status CLOB)
CREATE TABLE asset_parts (asset_id NUMBER, part_id NUMBER)
CREATE TABLE parts (part_id NUMBER, part_name CLOB, chargeable_yn CLOB, chargeable_amount CLOB, other_part_details CLOB)
CREATE TABLE part_faults (part_fault_id NUMBER, part_id NUMBER, fault_short_name CLOB, fault_description CLOB, other_fault_details CLOB)
CREATE TABLE third_party_companies (company_id NUMBER, company_type CLOB, company_name CLOB, company_address CLOB, other_company_details CLOB)
CREATE TABLE engineer_visits (engineer_visit_id NUMBER, contact_staff_id NUMBER, engineer_id NUMBER, fault_log_entry_id NUMBER, fault_status CLOB, visit_start_datetime TIME, visit_end_datetime TIME, other_visit_details CLOB)
CREATE TABLE maintenance_contracts (maintenance_contract_id NUMBER, maintenance_contract_company_id NUMBER, contract_start_date TIME, contract_end_date TIME, other_contract_details CLOB)
| How many assets can each parts be used in? List the part name and the number. | SELECT T1.part_name, COUNT(*) FROM parts AS T1 JOIN asset_parts AS T2 ON T1.part_id = T2.part_id GROUP BY T1.part_name | SELECT "T1"."part_name", COUNT(*) FROM "parts" "T1" JOIN "asset_parts" "T2" ON "T1"."part_id" = "T2"."part_id" GROUP BY "T1"."part_name" | 0.132813 |
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE 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)
| Count the number of unmarried patients who have copd exacerbation as their primary disease. | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.marital_status = "SINGLE" AND demographic.diagnosis = "COPD EXACERBATION" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "COPD EXACERBATION" = "demographic"."diagnosis" AND "SINGLE" = "demographic"."marital_status" | 0.164063 |
CREATE TABLE table_73148 ("Game" FLOAT, "Date" CLOB, "Opponent" CLOB, "Score" CLOB, "High points" CLOB, "High rebounds" CLOB, "High assists" CLOB, "Location" CLOB, "Record" CLOB)
| Name the opponent for june 12 | SELECT "Opponent" FROM table_73148 WHERE "Date" = 'June 12' | SELECT "Opponent" FROM "table_73148" WHERE "Date" = 'June 12' | 0.05957 |
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
| what is gender and procedure long title of subject id 2560? | SELECT demographic.gender, procedures.long_title FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.subject_id = "2560" | SELECT "demographic"."gender", "procedures"."long_title" FROM "demographic" JOIN "procedures" ON "demographic"."hadm_id" = "procedures"."hadm_id" WHERE "2560" = "demographic"."subject_id" | 0.182617 |
CREATE TABLE SuggestedEdits (Id NUMBER, PostId NUMBER, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId NUMBER, Comment CLOB, Text CLOB, Title CLOB, Tags CLOB, RevisionGUID other)
CREATE TABLE Users (Id NUMBER, Reputation NUMBER, CreationDate TIME, DisplayName CLOB, LastAccessDate TIME, WebsiteUrl CLOB, Location CLOB, AboutMe CLOB, Views NUMBER, UpVotes NUMBER, DownVotes NUMBER, ProfileImageUrl CLOB, EmailHash CLOB, AccountId NUMBER)
CREATE TABLE ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment CLOB)
CREATE TABLE CloseReasonTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Comments (Id NUMBER, PostId NUMBER, Score NUMBER, Text CLOB, CreationDate TIME, UserDisplayName CLOB, UserId NUMBER, ContentLicense CLOB)
CREATE TABLE TagSynonyms (Id NUMBER, SourceTagName CLOB, TargetTagName CLOB, CreationDate TIME, OwnerUserId NUMBER, AutoRenameCount NUMBER, LastAutoRename TIME, Score NUMBER, ApprovedByUserId NUMBER, ApprovalDate TIME)
CREATE TABLE PostHistoryTypes (Id NUMBER, Name CLOB)
CREATE TABLE Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
CREATE TABLE PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId NUMBER)
CREATE TABLE VoteTypes (Id NUMBER, Name CLOB)
CREATE TABLE PostTypes (Id NUMBER, Name CLOB)
CREATE TABLE FlagTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId NUMBER)
CREATE TABLE 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 PostHistory (Id NUMBER, PostHistoryTypeId NUMBER, PostId NUMBER, RevisionGUID other, CreationDate TIME, UserId NUMBER, UserDisplayName CLOB, Comment CLOB, Text CLOB, ContentLicense CLOB)
CREATE TABLE CloseAsOffTopicReasonTypes (Id NUMBER, IsUniversal BOOLEAN, InputTitle CLOB, MarkdownInputGuidance CLOB, MarkdownPostOwnerGuidance CLOB, MarkdownPrivilegedUserGuidance CLOB, MarkdownConcensusDescription CLOB, CreationDate TIME, CreationModeratorId NUMBER, ApprovalDate TIME, ApprovalModeratorId NUMBER, DeactivationDate TIME, DeactivationModeratorId NUMBER)
CREATE TABLE PendingFlags (Id NUMBER, FlagTypeId NUMBER, PostId NUMBER, CreationDate TIME, CloseReasonTypeId NUMBER, CloseAsOffTopicReasonTypeId NUMBER, DuplicateOfQuestionId NUMBER, BelongsOnBaseHostAddress CLOB)
CREATE TABLE PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
CREATE TABLE ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId NUMBER)
CREATE TABLE SuggestedEditVotes (Id NUMBER, SuggestedEditId NUMBER, UserId NUMBER, VoteTypeId NUMBER, CreationDate TIME, TargetUserId NUMBER, TargetRepChange NUMBER)
CREATE TABLE ReviewTaskTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE ReviewTaskStates (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE ReviewTaskResultTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
CREATE TABLE Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
CREATE TABLE Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount NUMBER)
CREATE TABLE Posts (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
CREATE TABLE PostTags (PostId NUMBER, TagId NUMBER)
| CLEANUP: Find markdown in tag wiki excerpts. | SELECT Tags.TagName, Posts.Body FROM Posts INNER JOIN Tags ON Posts.Id = Tags.ExcerptPostId WHERE Posts.PostTypeId IN (4) AND (Posts.Body LIKE '%*%' OR Posts.Body LIKE '%\_%' OR Posts.Body LIKE '%>%' OR Posts.Body LIKE '%[%' OR Posts.Body LIKE '%{%' OR Posts.Body LIKE '% %' OR Posts.Body LIKE '% %') | SELECT "Tags"."TagName", "Posts"."Body" FROM "Posts" JOIN "Tags" ON "Posts"."Id" = "Tags"."ExcerptPostId" WHERE ("Posts"."Body" LIKE '% %' OR "Posts"."Body" LIKE '%*%' OR "Posts"."Body" LIKE '%>%' OR "Posts"."Body" LIKE '%[%' OR "Posts"."Body" LIKE '%\_%' OR "Posts"."Body" LIKE '%{%') AND "Posts"."PostTypeId" IN (4) | 0.30957 |
CREATE TABLE jobs (JOB_ID VARCHAR2, JOB_TITLE VARCHAR2, MIN_SALARY NUMBER, MAX_SALARY NUMBER)
CREATE TABLE countries (COUNTRY_ID VARCHAR2, COUNTRY_NAME VARCHAR2, REGION_ID NUMBER)
CREATE TABLE employees (EMPLOYEE_ID NUMBER, FIRST_NAME VARCHAR2, LAST_NAME VARCHAR2, EMAIL VARCHAR2, PHONE_NUMBER VARCHAR2, HIRE_DATE DATE, JOB_ID VARCHAR2, SALARY NUMBER, COMMISSION_PCT NUMBER, MANAGER_ID NUMBER, DEPARTMENT_ID NUMBER)
CREATE TABLE departments (DEPARTMENT_ID NUMBER, DEPARTMENT_NAME VARCHAR2, MANAGER_ID NUMBER, LOCATION_ID NUMBER)
CREATE TABLE job_history (EMPLOYEE_ID NUMBER, START_DATE DATE, END_DATE DATE, JOB_ID VARCHAR2, DEPARTMENT_ID NUMBER)
CREATE TABLE regions (REGION_ID NUMBER, REGION_NAME VARCHAR2)
CREATE TABLE locations (LOCATION_ID NUMBER, STREET_ADDRESS VARCHAR2, POSTAL_CODE VARCHAR2, CITY VARCHAR2, STATE_PROVINCE VARCHAR2, COUNTRY_ID VARCHAR2)
| For those employees who do not work in departments with managers that have ids between 100 and 200, find email and salary , and visualize them by a bar chart, and display by the Y-axis from low to high. | SELECT EMAIL, SALARY FROM employees WHERE NOT DEPARTMENT_ID IN (SELECT DEPARTMENT_ID FROM departments WHERE MANAGER_ID BETWEEN 100 AND 200) ORDER BY SALARY | SELECT "EMAIL", "SALARY" FROM "employees" WHERE NOT "DEPARTMENT_ID" IN (SELECT "DEPARTMENT_ID" FROM "departments" WHERE "MANAGER_ID" <= 200 AND "MANAGER_ID" >= 100) ORDER BY "SALARY" | 0.177734 |
CREATE TABLE table_30831 ("Round" FLOAT, "Date" CLOB, "Grand Prix" CLOB, "Circuit" CLOB, "Pole Position" CLOB, "Fastest Lap" CLOB, "Race Winner" CLOB)
| Who won the race on June 26? | SELECT "Race Winner" FROM table_30831 WHERE "Date" = 'June 26' | SELECT "Race Winner" FROM "table_30831" WHERE "Date" = 'June 26' | 0.0625 |
CREATE TABLE table_15333 ("Representative" CLOB, "Title" CLOB, "Presentation of Credentials" CLOB, "Termination of Mission" CLOB, "Appointed by" CLOB)
| Which Appointed has Termination of Mission on april 7, 2005? | SELECT "Appointed by" FROM table_15333 WHERE "Termination of Mission" = 'april 7, 2005' | SELECT "Appointed by" FROM "table_15333" WHERE "Termination of Mission" = 'april 7, 2005' | 0.086914 |
CREATE TABLE PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
CREATE TABLE SuggestedEdits (Id NUMBER, PostId NUMBER, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId NUMBER, Comment CLOB, Text CLOB, Title CLOB, Tags CLOB, RevisionGUID other)
CREATE TABLE PendingFlags (Id NUMBER, FlagTypeId NUMBER, PostId NUMBER, CreationDate TIME, CloseReasonTypeId NUMBER, CloseAsOffTopicReasonTypeId NUMBER, DuplicateOfQuestionId NUMBER, BelongsOnBaseHostAddress 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 PostHistoryTypes (Id NUMBER, Name CLOB)
CREATE TABLE PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
CREATE TABLE ReviewTaskTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE CloseReasonTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE FlagTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE ReviewTaskStates (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE ReviewTaskResultTypes (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 VoteTypes (Id NUMBER, Name CLOB)
CREATE TABLE PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId NUMBER)
CREATE TABLE PostTypes (Id NUMBER, Name CLOB)
CREATE TABLE PostTags (PostId NUMBER, TagId NUMBER)
CREATE TABLE Users (Id NUMBER, Reputation NUMBER, CreationDate TIME, DisplayName CLOB, LastAccessDate TIME, WebsiteUrl CLOB, Location CLOB, AboutMe CLOB, Views NUMBER, UpVotes NUMBER, DownVotes NUMBER, ProfileImageUrl CLOB, EmailHash CLOB, AccountId NUMBER)
CREATE TABLE 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 ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment CLOB)
CREATE TABLE ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId NUMBER)
CREATE TABLE Comments (Id NUMBER, PostId NUMBER, Score NUMBER, Text CLOB, CreationDate TIME, UserDisplayName CLOB, UserId NUMBER, ContentLicense CLOB)
CREATE TABLE ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
CREATE TABLE TagSynonyms (Id NUMBER, SourceTagName CLOB, TargetTagName CLOB, CreationDate TIME, OwnerUserId NUMBER, AutoRenameCount NUMBER, LastAutoRename TIME, Score NUMBER, ApprovedByUserId NUMBER, ApprovalDate TIME)
CREATE TABLE Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
CREATE TABLE SuggestedEditVotes (Id NUMBER, SuggestedEditId NUMBER, UserId NUMBER, VoteTypeId NUMBER, CreationDate TIME, TargetUserId NUMBER, TargetRepChange NUMBER)
CREATE TABLE PostsWithDeleted (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
CREATE TABLE PostHistory (Id NUMBER, PostHistoryTypeId NUMBER, PostId NUMBER, RevisionGUID other, CreationDate TIME, UserId NUMBER, UserDisplayName CLOB, Comment CLOB, Text CLOB, ContentLicense CLOB)
| How many unanswered questions are there for a tag?. | SELECT COUNT(p.Id) FROM Posts AS p INNER JOIN PostTags AS pt ON pt.TagId = @TagId WHERE pt.PostId = p.Id AND p.PostTypeId = 1 AND NOT p.AcceptedAnswerId IS NULL | SELECT COUNT("p"."Id") FROM "Posts" "p" JOIN "PostTags" "pt" ON "p"."Id" = "pt"."PostId" AND "pt"."TagId" = @TagId WHERE "p"."PostTypeId" = 1 AND NOT "p"."AcceptedAnswerId" IS NULL | 0.175781 |
CREATE TABLE table_name_53 (points NUMBER, player VARCHAR2, extra_points VARCHAR2)
| How many points did Stuart have when he had 0 extra points? | SELECT MIN(points) FROM table_name_53 WHERE player = "stuart" AND extra_points < 0 | SELECT MIN("points") FROM "table_name_53" WHERE "extra_points" < 0 AND "player" = "stuart" | 0.087891 |
CREATE TABLE table_59184 ("Elimination" CLOB, "Wrestler" CLOB, "Eliminated by" CLOB, "Elimination Move" CLOB, "Time" CLOB)
| Which Wrestler has an Elimination of 5? | SELECT "Wrestler" FROM table_59184 WHERE "Elimination" = '5' | SELECT "Wrestler" FROM "table_59184" WHERE "Elimination" = '5' | 0.060547 |
CREATE TABLE table_24915874_1 (horse VARCHAR2, jockey VARCHAR2)
| Who was the horse when the jockey was Peter Wells? | SELECT horse FROM table_24915874_1 WHERE jockey = "Peter Wells" | SELECT "horse" FROM "table_24915874_1" WHERE "Peter Wells" = "jockey" | 0.067383 |
CREATE TABLE table_name_1 (score VARCHAR2, record VARCHAR2)
| What was the score of the game with a record of 34 17 11 2? | SELECT score FROM table_name_1 WHERE record = "34–17–11–2" | SELECT "score" FROM "table_name_1" WHERE "34–17–11–2" = "record" | 0.0625 |
CREATE TABLE table_10051 ("Place" CLOB, "Player" CLOB, "Country" CLOB, "Score" CLOB, "To par" CLOB)
| What is the country with a 66-70-69=205 score? | SELECT "Country" FROM table_10051 WHERE "Score" = '66-70-69=205' | SELECT "Country" FROM "table_10051" WHERE "Score" = '66-70-69=205' | 0.064453 |
CREATE TABLE table_30696 ("Reservoir" CLOB, "Basin" CLOB, "Location" CLOB, "Type" CLOB, "Height ( m ) " CLOB, "Length along the top ( m ) " CLOB, "Drainage basin ( km\\u00b2 ) " CLOB, "Reservoir surface ( ha ) " CLOB, "Volume ( hm\\u00b3 ) " CLOB)
| What is the volume when the resrvoir is Tanes? | SELECT "Volume (hm\u00b3)" FROM table_30696 WHERE "Reservoir" = 'Tanes' | SELECT "Volume (hm\u00b3)" FROM "table_30696" WHERE "Reservoir" = 'Tanes' | 0.071289 |
CREATE TABLE table_name_67 (site VARCHAR2, date VARCHAR2)
| What is SIte, when Date is 'September 13'? | SELECT site FROM table_name_67 WHERE date = "september 13" | SELECT "site" FROM "table_name_67" WHERE "date" = "september 13" | 0.0625 |
CREATE TABLE table_name_93 (goals NUMBER, caps VARCHAR2, average VARCHAR2)
| What is the goal low with caps less than 38 and an average less than 1.083? | SELECT MIN(goals) FROM table_name_93 WHERE caps < 38 AND average < 1.083 | SELECT MIN("goals") FROM "table_name_93" WHERE "average" < 1.083 AND "caps" < 38 | 0.078125 |
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)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
| how many patients whose admission type is elective and insurance is medicare? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.admission_type = "ELECTIVE" AND demographic.insurance = "Medicare" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "ELECTIVE" = "demographic"."admission_type" AND "Medicare" = "demographic"."insurance" | 0.157227 |
CREATE TABLE table_14003 ("Date" CLOB, "Time ( CET ) " CLOB, "Res." CLOB, "Round" CLOB, "Attendance" FLOAT)
| What is the highest attendance among Group E games? | SELECT MAX("Attendance") FROM table_14003 WHERE "Round" = 'group e' | SELECT MAX("Attendance") FROM "table_14003" WHERE "Round" = 'group e' | 0.067383 |
CREATE TABLE table_name_25 (time NUMBER, stage VARCHAR2, year VARCHAR2)
| What is the total amount of time for years prior to 2013 when speed option is the stage? | SELECT SUM(time) FROM table_name_25 WHERE stage = "speed option" AND year < 2013 | SELECT SUM("time") FROM "table_name_25" WHERE "speed option" = "stage" AND "year" < 2013 | 0.085938 |
CREATE TABLE table_32986 ("Home team" CLOB, "Home team score" CLOB, "Away team" CLOB, "Away team score" CLOB, "Venue" CLOB, "Crowd" FLOAT, "Date" CLOB)
| Which team has a Home Team score of 5.12 (42)? | SELECT "Home team" FROM table_32986 WHERE "Home team score" = '5.12 (42)' | SELECT "Home team" FROM "table_32986" WHERE "Home team score" = '5.12 (42)' | 0.073242 |
CREATE TABLE table_5945 ("Week" CLOB, "Date" CLOB, "Opponent" CLOB, "Result" CLOB, "Kickoff" CLOB, "Game site" CLOB, "Record" CLOB, "Match Report" CLOB)
| Which Date has a Record of 0-2? | SELECT "Date" FROM table_5945 WHERE "Record" = '0-2' | SELECT "Date" FROM "table_5945" WHERE "Record" = '0-2' | 0.052734 |
CREATE TABLE table_name_23 (drew VARCHAR2, played VARCHAR2, lost VARCHAR2)
| What is the number of draws when the played 9 and lost 3? | SELECT drew FROM table_name_23 WHERE played = "9" AND lost = "3" | SELECT "drew" FROM "table_name_23" WHERE "3" = "lost" AND "9" = "played" | 0.070313 |
CREATE TABLE table_204_445 (id NUMBER, "year" NUMBER, "competition" CLOB, "venue" CLOB, "position" CLOB, "notes" CLOB)
| what was the top position in which he finished ? | SELECT MIN("position") FROM table_204_445 | SELECT MIN("position") FROM "table_204_445" | 0.041992 |
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)
CREATE TABLE labevents (row_id NUMBER, subject_id NUMBER, hadm_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 patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod 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 chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label 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 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 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 diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
| count the number of times patient 66411 has received a lt heart angiocardiogram procedure until 3 years ago '. | 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 = 'lt heart angiocardiogram') AND procedures_icd.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 66411) AND DATETIME(procedures_icd.charttime) <= DATETIME(CURRENT_TIME(), '-3 year') | WITH "_u_1" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 66411 GROUP BY "hadm_id") 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" = 'lt heart angiocardiogram' LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "procedures_icd"."hadm_id" WHERE DATETIME("procedures_icd"."charttime") <= DATETIME(CURRENT_TIME(), '-3 year') AND NOT "_u_1"."" IS NULL | 0.480469 |
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 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 procedures_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 labevents (row_id NUMBER, subject_id NUMBER, hadm_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 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 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 diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
CREATE TABLE inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount 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)
| tell me the name of the last specimen test that patient 4758 in 07/this year received? | SELECT microbiologyevents.spec_type_desc FROM microbiologyevents WHERE microbiologyevents.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 4758) AND DATETIME(microbiologyevents.charttime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-0 year') AND STRFTIME('%m', microbiologyevents.charttime) = '07' ORDER BY microbiologyevents.charttime DESC LIMIT 1 | WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 4758 GROUP BY "hadm_id") SELECT "microbiologyevents"."spec_type_desc" FROM "microbiologyevents" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "microbiologyevents"."hadm_id" WHERE DATETIME("microbiologyevents"."charttime", 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-0 year') AND NOT "_u_0"."" IS NULL AND STRFTIME('%m', "microbiologyevents"."charttime") = '07' ORDER BY "microbiologyevents"."charttime" DESC FETCH FIRST 1 ROWS ONLY | 0.52832 |
CREATE TABLE flight_leg (flight_id NUMBER, leg_number NUMBER, leg_flight NUMBER)
CREATE TABLE fare (fare_id NUMBER, from_airport VARCHAR2, to_airport VARCHAR2, fare_basis_code CLOB, fare_airline CLOB, restriction_code CLOB, one_direction_cost NUMBER, round_trip_cost NUMBER, round_trip_required VARCHAR2)
CREATE TABLE month (month_number NUMBER, month_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 dual_carrier (main_airline VARCHAR2, low_flight_number NUMBER, high_flight_number NUMBER, dual_airline VARCHAR2, service_name CLOB)
CREATE TABLE time_interval (period CLOB, begin_time NUMBER, end_time 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 flight_fare (flight_id NUMBER, fare_id NUMBER)
CREATE TABLE state (state_code CLOB, state_name CLOB, country_name CLOB)
CREATE TABLE airport (airport_code VARCHAR2, airport_name CLOB, airport_location CLOB, state_code VARCHAR2, country_name VARCHAR2, time_zone_code VARCHAR2, minimum_connect_time NUMBER)
CREATE TABLE 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 city (city_code VARCHAR2, city_name VARCHAR2, state_code VARCHAR2, country_name VARCHAR2, time_zone_code 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 airline (airline_code VARCHAR2, airline_name CLOB, note CLOB)
CREATE TABLE class_of_service (booking_class VARCHAR2, rank NUMBER, class_description CLOB)
CREATE TABLE days (days_code VARCHAR2, day_name VARCHAR2)
CREATE TABLE time_zone (time_zone_code CLOB, time_zone_name CLOB, hours_from_gmt NUMBER)
CREATE TABLE flight_stop (flight_id NUMBER, stop_number NUMBER, stop_days CLOB, stop_airport CLOB, arrival_time NUMBER, arrival_airline CLOB, arrival_flight_number NUMBER, departure_time NUMBER, departure_airline CLOB, departure_flight_number NUMBER, stop_time NUMBER)
CREATE TABLE compartment_class (compartment VARCHAR2, class_type VARCHAR2)
CREATE TABLE 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 food_service (meal_code CLOB, meal_number NUMBER, compartment CLOB, meal_description VARCHAR2)
CREATE TABLE equipment_sequence (aircraft_code_sequence VARCHAR2, aircraft_code VARCHAR2)
CREATE TABLE date_day (month_number NUMBER, day_number NUMBER, year NUMBER, day_name VARCHAR2)
| i need a thursday flight from PITTSBURGH to BALTIMORE arriving in BALTIMORE before 900 o'clock | 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 ((date_day.day_number = 24 AND date_day.month_number = 5 AND date_day.year = 1991 AND days.day_name = date_day.day_name AND flight.arrival_time < 900 AND flight.flight_days = days.days_code) AND CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'BALTIMORE' AND flight.to_airport = AIRPORT_SERVICE_1.airport_code) AND CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'PITTSBURGH' AND 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" = 24 AND "date_day"."month_number" = 5 AND "date_day"."year" = 1991 JOIN "city" "CITY_0" ON "AIRPORT_SERVICE_0"."city_code" = "CITY_0"."city_code" AND "CITY_0"."city_name" = 'PITTSBURGH' 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" AND "flight"."arrival_time" < 900 JOIN "airport_service" "AIRPORT_SERVICE_1" ON "AIRPORT_SERVICE_1"."airport_code" = "flight"."to_airport" JOIN "city" "CITY_1" ON "AIRPORT_SERVICE_1"."city_code" = "CITY_1"."city_code" AND "CITY_1"."city_name" = 'BALTIMORE' | 0.731445 |
CREATE TABLE people (People_ID NUMBER, Sex CLOB, Name CLOB, Date_of_Birth CLOB, Height FLOAT, Weight FLOAT)
CREATE TABLE candidate (Candidate_ID NUMBER, People_ID NUMBER, Poll_Source CLOB, Date CLOB, Support_rate FLOAT, Consider_rate FLOAT, Oppose_rate FLOAT, Unsure_rate FLOAT)
| Bar chart of total number of height from each sex, rank by the y axis in asc. | SELECT Sex, SUM(Height) FROM people GROUP BY Sex ORDER BY SUM(Height) | SELECT "Sex", SUM("Height") FROM "people" GROUP BY "Sex" ORDER BY SUM("Height") | 0.077148 |
CREATE TABLE table_25527 ("Episode #" FLOAT, "Prod #" FLOAT, "Title" CLOB, "Directed by" CLOB, "Written by" CLOB, "Originalairdate" CLOB)
| How manu original airdates have 'a cellar full of silence' as the title? | SELECT COUNT("Originalairdate") FROM table_25527 WHERE "Title" = 'A Cellar Full of Silence' | SELECT COUNT("Originalairdate") FROM "table_25527" WHERE "Title" = 'A Cellar Full of Silence' | 0.09082 |
CREATE TABLE table_name_28 (grid NUMBER, driver VARCHAR2, laps VARCHAR2)
| What is the number of the grid for Johnny Herbert with more than 52 laps? | SELECT SUM(grid) FROM table_name_28 WHERE driver = "johnny herbert" AND laps > 52 | SELECT SUM("grid") FROM "table_name_28" WHERE "driver" = "johnny herbert" AND "laps" > 52 | 0.086914 |
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 PendingFlags (Id NUMBER, FlagTypeId NUMBER, PostId NUMBER, CreationDate TIME, CloseReasonTypeId NUMBER, CloseAsOffTopicReasonTypeId NUMBER, DuplicateOfQuestionId NUMBER, BelongsOnBaseHostAddress CLOB)
CREATE TABLE Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
CREATE TABLE ReviewTaskResultTypes (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 PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
CREATE TABLE PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId NUMBER)
CREATE TABLE Posts (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE PostTags (PostId NUMBER, TagId NUMBER)
CREATE TABLE Comments (Id NUMBER, PostId NUMBER, Score NUMBER, Text CLOB, CreationDate TIME, UserDisplayName CLOB, UserId NUMBER, ContentLicense CLOB)
CREATE TABLE VoteTypes (Id NUMBER, Name CLOB)
CREATE TABLE ReviewTaskStates (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE SuggestedEditVotes (Id NUMBER, SuggestedEditId NUMBER, UserId NUMBER, VoteTypeId NUMBER, CreationDate TIME, TargetUserId NUMBER, TargetRepChange NUMBER)
CREATE TABLE 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 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 FlagTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount NUMBER)
CREATE TABLE PostHistory (Id NUMBER, PostHistoryTypeId NUMBER, PostId NUMBER, RevisionGUID other, CreationDate TIME, UserId NUMBER, UserDisplayName CLOB, Comment CLOB, Text CLOB, ContentLicense CLOB)
CREATE TABLE PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
CREATE TABLE ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
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 PostHistoryTypes (Id NUMBER, Name CLOB)
CREATE TABLE PostTypes (Id NUMBER, Name CLOB)
CREATE TABLE Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
CREATE TABLE CloseReasonTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE SuggestedEdits (Id NUMBER, PostId NUMBER, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId NUMBER, Comment CLOB, Text CLOB, Title CLOB, Tags CLOB, RevisionGUID other)
| List votes on a user's rejected suggested edits. Show all the approval and rejection votes on the rejected suggested edits that were proposed by a given user. | SELECT 'site://suggested-edits/' + CAST(s.Id AS TEXT(20)) + '|' + CASE LENGTH(LTRIM(s.Comment)) WHEN 0 THEN 'none' ELSE s.Comment END AS "suggested_edit", s.PostId AS "post_link", s.CreationDate AS "creation_date", s.RejectionDate AS "rejection_date", CASE v.VoteTypeId WHEN 2 THEN 'Approved' WHEN 3 THEN CASE WHEN UserId = -1 THEN 'Rejected by Community' ELSE 'Rejected' END ELSE '?' END AS "type" FROM SuggestedEdits AS s, SuggestedEditVotes AS v WHERE v.SuggestedEditId = s.Id AND s.OwnerUserId = '##UserId##' AND NOT s.RejectionDate IS NULL ORDER BY v.CreationDate DESC | SELECT CONCAT(CONCAT('site://suggested-edits/', CAST("s"."Id" AS CLOB(20))), '|') + CASE WHEN LENGTH(LTRIM("s"."Comment")) = 0 THEN 'none' ELSE "s"."Comment" END AS "suggested_edit", "s"."PostId" AS "post_link", "s"."CreationDate" AS "creation_date", "s"."RejectionDate" AS "rejection_date", CASE WHEN "v"."VoteTypeId" = 2 THEN 'Approved' WHEN "v"."VoteTypeId" = 3 THEN CASE WHEN "UserId" = -1 THEN 'Rejected by Community' ELSE 'Rejected' END ELSE '?' END AS "type" FROM "SuggestedEdits" "s" JOIN "SuggestedEditVotes" "v" ON "s"."Id" = "v"."SuggestedEditId" WHERE "s"."OwnerUserId" = '##UserId##' AND NOT "s"."RejectionDate" IS NULL ORDER BY "v"."CreationDate" DESC | 0.649414 |
CREATE TABLE table_56126 ("Home team" CLOB, "Home team score" CLOB, "Away team" CLOB, "Away team score" CLOB, "Venue" CLOB, "Crowd" FLOAT, "Date" CLOB)
| What was the attendance at Windy Hill? | SELECT MAX("Crowd") FROM table_56126 WHERE "Venue" = 'windy hill' | SELECT MAX("Crowd") FROM "table_56126" WHERE "Venue" = 'windy hill' | 0.06543 |
CREATE TABLE table_14669 ("Team" CLOB, "Manager" CLOB, "Captain" CLOB, "Kit manufacturer" CLOB, "Shirt sponsor" CLOB)
| Who is the captain for the manufacturer Pony, and the manager Harry Redknapp? | SELECT "Captain" FROM table_14669 WHERE "Kit manufacturer" = 'pony' AND "Manager" = 'harry redknapp' | SELECT "Captain" FROM "table_14669" WHERE "Kit manufacturer" = 'pony' AND "Manager" = 'harry redknapp' | 0.099609 |
CREATE TABLE table_29914 ("Game" FLOAT, "Date" CLOB, "Team" CLOB, "Score" CLOB, "High points" CLOB, "High rebounds" CLOB, "High assists" CLOB, "Location Attendance" CLOB, "Record" CLOB)
| What were the high points on March 25? | SELECT "High points" FROM table_29914 WHERE "Date" = 'March 25' | SELECT "High points" FROM "table_29914" WHERE "Date" = 'March 25' | 0.063477 |
CREATE TABLE table_36089 ("Home ( 1st leg ) " CLOB, "Home ( 2nd leg ) " CLOB, "1st Leg" CLOB, "2nd leg" CLOB, "Aggregate" CLOB)
| What is the home of aggregate's 3-4? | SELECT "Home (2nd leg)" FROM table_36089 WHERE "Aggregate" = '3-4' | SELECT "Home (2nd leg)" FROM "table_36089" WHERE "Aggregate" = '3-4' | 0.066406 |
CREATE TABLE table_name_78 (date VARCHAR2, score VARCHAR2)
| What is the date of the game with a w 105-88 score? | SELECT date FROM table_name_78 WHERE score = "w 105-88" | SELECT "date" FROM "table_name_78" WHERE "score" = "w 105-88" | 0.05957 |
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 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 lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime 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 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 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 medication (medicationid NUMBER, patientunitstayid NUMBER, drugname CLOB, dosage CLOB, routeadmin CLOB, drugstarttime TIME, drugstoptime TIME)
| how long is the last hospital stay of patient 031-3507? | SELECT STRFTIME('%j', patient.hospitaldischargetime) - STRFTIME('%j', patient.hospitaladmittime) FROM patient WHERE patient.uniquepid = '031-3507' AND NOT patient.hospitaladmittime IS NULL ORDER BY patient.hospitaladmittime DESC LIMIT 1 | SELECT STRFTIME('%j', "patient"."hospitaldischargetime") - STRFTIME('%j', "patient"."hospitaladmittime") FROM "patient" WHERE "patient"."uniquepid" = '031-3507' AND NOT "patient"."hospitaladmittime" IS NULL ORDER BY "patient"."hospitaladmittime" DESC FETCH FIRST 1 ROWS ONLY | 0.267578 |
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)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
| count the number of patients whose admission year is less than 2166 and lab test name is lipase? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.admityear < "2166" AND lab.label = "Lipase" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "lab" ON "Lipase" = "lab"."label" AND "demographic"."hadm_id" = "lab"."hadm_id" WHERE "2166" > "demographic"."admityear" | 0.189453 |
CREATE TABLE lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime 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 medication (medicationid NUMBER, patientunitstayid NUMBER, drugname CLOB, dosage CLOB, routeadmin CLOB, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE treatment (treatmentid NUMBER, patientunitstayid NUMBER, treatmentname CLOB, treatmenttime TIME)
CREATE TABLE 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 microlab (microlabid NUMBER, patientunitstayid NUMBER, culturesite CLOB, organism CLOB, culturetakentime TIME)
CREATE TABLE diagnosis (diagnosisid NUMBER, patientunitstayid NUMBER, diagnosisname CLOB, diagnosistime TIME, icd9code CLOB)
CREATE TABLE cost (costid NUMBER, uniquepid CLOB, patienthealthsystemstayid NUMBER, eventtype CLOB, eventid NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE intakeoutput (intakeoutputid NUMBER, patientunitstayid NUMBER, cellpath CLOB, celllabel CLOB, cellvaluenumeric NUMBER, intakeoutputtime TIME)
| what is the difference in the amount of pao2 in patient 021-146783 second measured on the last hospital visit compared to the value first measured on the last hospital visit? | SELECT (SELECT lab.labresult FROM lab WHERE lab.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '021-146783' AND NOT patient.hospitaldischargetime IS NULL ORDER BY patient.hospitaladmittime DESC LIMIT 1)) AND lab.labname = 'pao2' ORDER BY lab.labresulttime LIMIT 1 OFFSET 1) - (SELECT lab.labresult FROM lab WHERE lab.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '021-146783' AND NOT patient.hospitaldischargetime IS NULL ORDER BY patient.hospitaladmittime DESC LIMIT 1)) AND lab.labname = 'pao2' ORDER BY lab.labresulttime LIMIT 1) | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '021-146783' AND NOT "patient"."hospitaldischargetime" IS NULL GROUP BY "patienthealthsystemstayid" ORDER BY "patient"."hospitaladmittime" DESC FETCH FIRST 1 ROWS ONLY), "_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"), "_u_4" AS (SELECT "patient"."patientunitstayid" FROM "patient" LEFT JOIN "_u_0" "_u_3" ON "_u_3"."" = "patient"."patienthealthsystemstayid" WHERE NOT "_u_3"."" IS NULL GROUP BY "patientunitstayid") SELECT (SELECT "lab"."labresult" FROM "lab" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "lab"."patientunitstayid" WHERE "lab"."labname" = 'pao2' AND NOT "_u_1"."" IS NULL ORDER BY "lab"."labresulttime" OFFSET 1 ROWS FETCH FIRST 1 ROWS ONLY) - (SELECT "lab"."labresult" FROM "lab" LEFT JOIN "_u_4" "_u_4" ON "_u_4"."" = "lab"."patientunitstayid" WHERE "lab"."labname" = 'pao2' AND NOT "_u_4"."" IS NULL ORDER BY "lab"."labresulttime" FETCH FIRST 1 ROWS ONLY) | 1.098633 |
CREATE TABLE table_name_40 (gold NUMBER, silver VARCHAR2, total VARCHAR2)
| What is the highest gold with 1 silver, and more than 1 altogether? | SELECT MAX(gold) FROM table_name_40 WHERE silver = 1 AND total > 1 | SELECT MAX("gold") FROM "table_name_40" WHERE "silver" = 1 AND "total" > 1 | 0.072266 |
CREATE TABLE icustays (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, first_careunit CLOB, last_careunit CLOB, first_wardid NUMBER, last_wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE 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 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 procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime 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)
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 cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE 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)
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 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 chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
| what is the last rdw in patient 3277 since 05/2104? | SELECT labevents.valuenum FROM labevents WHERE labevents.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 3277) AND labevents.itemid IN (SELECT d_labitems.itemid FROM d_labitems WHERE d_labitems.label = 'rdw') AND STRFTIME('%y-%m', labevents.charttime) >= '2104-05' ORDER BY labevents.charttime DESC LIMIT 1 | WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 3277 GROUP BY "hadm_id"), "_u_1" AS (SELECT "d_labitems"."itemid" FROM "d_labitems" WHERE "d_labitems"."label" = 'rdw' GROUP BY "itemid") 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 AND STRFTIME('%y-%m', "labevents"."charttime") >= '2104-05' ORDER BY "labevents"."charttime" DESC FETCH FIRST 1 ROWS ONLY | 0.56543 |
CREATE TABLE table_name_42 (opponent VARCHAR2, surface VARCHAR2)
| What person was played against when the playing surface was hard? | SELECT opponent FROM table_name_42 WHERE surface = "hard" | SELECT "opponent" FROM "table_name_42" WHERE "hard" = "surface" | 0.061523 |
CREATE TABLE table_name_7 (bible_gothic VARCHAR2, english VARCHAR2)
| What's the Bible Gothic for the word hand? | SELECT bible_gothic FROM table_name_7 WHERE english = "hand" | SELECT "bible_gothic" FROM "table_name_7" WHERE "english" = "hand" | 0.064453 |
CREATE TABLE station (id NUMBER, name CLOB, lat NUMBER, long NUMBER, dock_count NUMBER, city CLOB, installation_date 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 status (station_id NUMBER, bikes_available NUMBER, docks_available NUMBER, time CLOB)
CREATE TABLE weather (date CLOB, max_temperature_f NUMBER, mean_temperature_f NUMBER, min_temperature_f NUMBER, max_dew_point_f NUMBER, mean_dew_point_f NUMBER, min_dew_point_f NUMBER, max_humidity NUMBER, mean_humidity NUMBER, min_humidity NUMBER, max_sea_level_pressure_inches NUMBER, mean_sea_level_pressure_inches NUMBER, min_sea_level_pressure_inches NUMBER, max_visibility_miles NUMBER, mean_visibility_miles NUMBER, min_visibility_miles NUMBER, max_wind_Speed_mph NUMBER, mean_wind_speed_mph NUMBER, max_gust_speed_mph NUMBER, precipitation_inches NUMBER, cloud_cover NUMBER, events CLOB, wind_dir_degrees NUMBER, zip_code NUMBER)
| For days had a minimum dew point smaller than any day in zip code 94107, show the total number of such days using a bar chart. | SELECT date, COUNT(date) FROM weather WHERE min_dew_point_f < (SELECT MIN(min_dew_point_f) FROM weather WHERE zip_code = 94107) GROUP BY date | SELECT "date", COUNT("date") FROM "weather" WHERE "min_dew_point_f" < (SELECT MIN("min_dew_point_f") FROM "weather" WHERE "zip_code" = 94107) GROUP BY "date" | 0.15332 |
CREATE TABLE table_14144 ("Manufacturer" CLOB, "Transmission" CLOB, "Engine Capacity" FLOAT, "Fuel Type" CLOB, "L/100km Urban ( Cold ) " FLOAT, "L/100km Extra-Urban" FLOAT, "L/100km Combined" FLOAT, "mpg-UK Urban ( Cold ) " FLOAT, "mpg-UK Extra-Urban" FLOAT, "mpg-UK Combined" FLOAT, "mpg-US Urban" FLOAT, "mpg-US Extra-Urban" FLOAT, "mpg-US Combined" FLOAT, "CO 2 g/km" FLOAT, "Green Rating" CLOB)
| What is the average L/100km urban value having an L/100km extraurban under 7.2, mpg combined in the UK under 39.8, l/100km combined over 7.9, and mpg combined in the US under 25.1? | SELECT AVG("L/100km Urban (Cold)") FROM table_14144 WHERE "L/100km Extra-Urban" < '7.2' AND "mpg-UK Combined" < '39.8' AND "L/100km Combined" > '7.9' AND "mpg-US Combined" < '25.1' | SELECT AVG("L/100km Urban (Cold)") FROM "table_14144" WHERE "L/100km Combined" > '7.9' AND "L/100km Extra-Urban" < '7.2' AND "mpg-UK Combined" < '39.8' AND "mpg-US Combined" < '25.1' | 0.177734 |
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
| provide the number of patients taking drug via ih route who were diagnosed with other cardiac dysrhythmias. | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE diagnoses.short_title = "Cardiac dysrhythmias NEC" AND prescriptions.route = "IH" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "Cardiac dysrhythmias NEC" = "diagnoses"."short_title" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" JOIN "prescriptions" ON "IH" = "prescriptions"."route" AND "demographic"."hadm_id" = "prescriptions"."hadm_id" | 0.298828 |
CREATE TABLE table_59709 ("Opposing Team" CLOB, "Against" FLOAT, "Date" CLOB, "Venue" CLOB, "Status" CLOB, "Report" CLOB)
| What status has 18 as the against? | SELECT "Status" FROM table_59709 WHERE "Against" = '18' | SELECT "Status" FROM "table_59709" WHERE "Against" = '18' | 0.055664 |
CREATE TABLE restriction (restriction_code CLOB, advance_purchase NUMBER, stopovers CLOB, saturday_stay_required CLOB, minimum_stay NUMBER, maximum_stay NUMBER, application CLOB, no_discounts CLOB)
CREATE TABLE fare_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 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 equipment_sequence (aircraft_code_sequence VARCHAR2, aircraft_code VARCHAR2)
CREATE TABLE code_description (code VARCHAR2, description CLOB)
CREATE TABLE flight_leg (flight_id NUMBER, leg_number NUMBER, leg_flight NUMBER)
CREATE TABLE flight (aircraft_code_sequence CLOB, airline_code VARCHAR2, airline_flight CLOB, arrival_time NUMBER, connections NUMBER, departure_time NUMBER, dual_carrier CLOB, flight_days CLOB, flight_id NUMBER, flight_number NUMBER, from_airport VARCHAR2, meal_code CLOB, stops NUMBER, time_elapsed NUMBER, to_airport VARCHAR2)
CREATE TABLE dual_carrier (main_airline VARCHAR2, low_flight_number NUMBER, high_flight_number NUMBER, dual_airline VARCHAR2, service_name CLOB)
CREATE TABLE airport_service (city_code VARCHAR2, airport_code VARCHAR2, miles_distant NUMBER, direction VARCHAR2, minutes_distant NUMBER)
CREATE TABLE flight_fare (flight_id NUMBER, fare_id 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 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 month (month_number NUMBER, month_name CLOB)
CREATE TABLE city (city_code VARCHAR2, city_name VARCHAR2, state_code VARCHAR2, country_name VARCHAR2, time_zone_code VARCHAR2)
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 state (state_code CLOB, state_name CLOB, country_name CLOB)
CREATE TABLE compartment_class (compartment VARCHAR2, class_type 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 time_zone (time_zone_code CLOB, time_zone_name CLOB, hours_from_gmt NUMBER)
CREATE TABLE ground_service (city_code CLOB, airport_code CLOB, transport_type CLOB, ground_fare NUMBER)
CREATE TABLE time_interval (period CLOB, begin_time NUMBER, end_time NUMBER)
CREATE TABLE days (days_code VARCHAR2, day_name VARCHAR2)
CREATE TABLE airline (airline_code VARCHAR2, airline_name CLOB, note CLOB)
CREATE TABLE class_of_service (booking_class VARCHAR2, rank NUMBER, class_description CLOB)
| is there ground transportation in DFW from the DFW airport to downtown DALLAS | SELECT DISTINCT ground_service.transport_type FROM airport, airport_service, city AS CITY_0, city AS CITY_1, ground_service WHERE airport.airport_code = airport_service.airport_code AND CITY_0.city_name = 'DALLAS' AND CITY_1.city_code = airport_service.city_code AND CITY_1.city_name = 'DALLAS' AND ground_service.airport_code = airport.airport_code AND ground_service.city_code = CITY_0.city_code | SELECT DISTINCT "ground_service"."transport_type" FROM "airport" JOIN "airport_service" ON "airport"."airport_code" = "airport_service"."airport_code" JOIN "ground_service" ON "airport"."airport_code" = "ground_service"."airport_code" JOIN "city" "CITY_0" ON "CITY_0"."city_code" = "ground_service"."city_code" AND "CITY_0"."city_name" = 'DALLAS' JOIN "city" "CITY_1" ON "CITY_1"."city_code" = "airport_service"."city_code" AND "CITY_1"."city_name" = 'DALLAS' | 0.448242 |
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)
CREATE TABLE cinema (Cinema_ID NUMBER, Name CLOB, Openning_year NUMBER, Capacity NUMBER, Location CLOB)
| Give me the title and highest price for each film. | SELECT Title, MAX(T1.Price) FROM schedule AS T1 JOIN film AS T2 ON T1.Film_ID = T2.Film_ID GROUP BY Title | SELECT "Title", MAX("T1"."Price") FROM "schedule" "T1" JOIN "film" "T2" ON "T1"."Film_ID" = "T2"."Film_ID" GROUP BY "Title" | 0.120117 |
CREATE TABLE city (city_code VARCHAR2, city_name VARCHAR2, state_code VARCHAR2, country_name VARCHAR2, time_zone_code VARCHAR2)
CREATE TABLE time_interval (period CLOB, begin_time NUMBER, end_time NUMBER)
CREATE TABLE time_zone (time_zone_code CLOB, time_zone_name CLOB, hours_from_gmt NUMBER)
CREATE TABLE flight_leg (flight_id NUMBER, leg_number NUMBER, leg_flight NUMBER)
CREATE TABLE compartment_class (compartment VARCHAR2, class_type 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 equipment_sequence (aircraft_code_sequence VARCHAR2, aircraft_code 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 dual_carrier (main_airline VARCHAR2, low_flight_number NUMBER, high_flight_number NUMBER, dual_airline VARCHAR2, service_name CLOB)
CREATE TABLE airline (airline_code VARCHAR2, airline_name CLOB, note CLOB)
CREATE TABLE flight_fare (flight_id NUMBER, fare_id NUMBER)
CREATE TABLE code_description (code VARCHAR2, description CLOB)
CREATE TABLE class_of_service (booking_class VARCHAR2, rank NUMBER, class_description CLOB)
CREATE TABLE state (state_code CLOB, state_name CLOB, country_name CLOB)
CREATE TABLE aircraft (aircraft_code VARCHAR2, aircraft_description VARCHAR2, manufacturer VARCHAR2, basic_type VARCHAR2, engines NUMBER, propulsion VARCHAR2, wide_body VARCHAR2, wing_span NUMBER, length NUMBER, weight NUMBER, capacity NUMBER, pay_load NUMBER, cruising_speed NUMBER, range_miles NUMBER, pressurized VARCHAR2)
CREATE TABLE 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 month (month_number NUMBER, month_name 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 airport_service (city_code VARCHAR2, airport_code VARCHAR2, miles_distant NUMBER, direction VARCHAR2, minutes_distant NUMBER)
CREATE TABLE flight (aircraft_code_sequence CLOB, airline_code VARCHAR2, airline_flight CLOB, arrival_time NUMBER, connections NUMBER, departure_time NUMBER, dual_carrier CLOB, flight_days CLOB, flight_id NUMBER, flight_number NUMBER, from_airport VARCHAR2, meal_code CLOB, stops NUMBER, time_elapsed NUMBER, to_airport VARCHAR2)
CREATE TABLE 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 days (days_code VARCHAR2, day_name VARCHAR2)
CREATE TABLE date_day (month_number NUMBER, day_number NUMBER, year NUMBER, day_name 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)
| like information on flights from SAN FRANCISCO to BOSTON on thursday morning | 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 = 'BOSTON' AND date_day.day_number = 24 AND date_day.month_number = 5 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 = 'SAN FRANCISCO' AND flight.from_airport = AIRPORT_SERVICE_0.airport_code) AND flight.departure_time BETWEEN 0 AND 1200 | SELECT DISTINCT "flight"."flight_id" FROM "airport_service" "AIRPORT_SERVICE_0" JOIN "date_day" ON "date_day"."day_number" = 24 AND "date_day"."month_number" = 5 AND "date_day"."year" = 1991 JOIN "city" "CITY_0" ON "AIRPORT_SERVICE_0"."city_code" = "CITY_0"."city_code" AND "CITY_0"."city_name" = 'SAN FRANCISCO' 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" AND "flight"."departure_time" <= 1200 AND "flight"."departure_time" >= 0 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" = 'BOSTON' | 0.769531 |
CREATE TABLE PostTags (PostId NUMBER, TagId NUMBER)
CREATE TABLE CloseReasonTypes (Id NUMBER, Name CLOB, Description 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 PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId NUMBER)
CREATE TABLE PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId NUMBER)
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 Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
CREATE TABLE ReviewTaskStates (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 ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment 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 Comments (Id NUMBER, PostId NUMBER, Score NUMBER, Text CLOB, CreationDate TIME, UserDisplayName CLOB, UserId NUMBER, ContentLicense CLOB)
CREATE TABLE PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
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 PostHistory (Id NUMBER, PostHistoryTypeId NUMBER, PostId NUMBER, RevisionGUID other, CreationDate TIME, UserId NUMBER, UserDisplayName CLOB, Comment CLOB, Text CLOB, ContentLicense CLOB)
CREATE TABLE TagSynonyms (Id NUMBER, SourceTagName CLOB, TargetTagName CLOB, CreationDate TIME, OwnerUserId NUMBER, AutoRenameCount NUMBER, LastAutoRename TIME, Score NUMBER, ApprovedByUserId NUMBER, ApprovalDate TIME)
CREATE TABLE ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
CREATE TABLE PostHistoryTypes (Id NUMBER, Name CLOB)
CREATE TABLE SuggestedEdits (Id NUMBER, PostId NUMBER, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId NUMBER, Comment CLOB, Text CLOB, Title CLOB, Tags CLOB, RevisionGUID other)
CREATE TABLE SuggestedEditVotes (Id NUMBER, SuggestedEditId NUMBER, UserId NUMBER, VoteTypeId NUMBER, CreationDate TIME, TargetUserId NUMBER, TargetRepChange NUMBER)
CREATE TABLE VoteTypes (Id NUMBER, Name CLOB)
CREATE TABLE ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId NUMBER)
CREATE TABLE PostTypes (Id NUMBER, Name CLOB)
CREATE TABLE PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
CREATE TABLE Posts (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount NUMBER)
| Top 150 dev in India. | SELECT ROW_NUMBER() OVER (ORDER BY Reputation DESC) AS "#", Id AS "user_link", Reputation FROM Users WHERE LOWER(Location) LIKE '%india%' OR UPPER(Location) LIKE '%IND' ORDER BY Reputation DESC LIMIT 150 | SELECT ROW_NUMBER() OVER (ORDER BY "Reputation" DESC) AS "#", "Id" AS "user_link", "Reputation" FROM "Users" WHERE LOWER("Location") LIKE '%india%' OR UPPER("Location") LIKE '%IND' ORDER BY "Reputation" DESC FETCH FIRST 150 ROWS ONLY | 0.227539 |
CREATE TABLE labevents (row_id NUMBER, subject_id NUMBER, hadm_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 procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE prescriptions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, startdate TIME, enddate TIME, drug CLOB, dose_val_rx CLOB, dose_unit_rx CLOB, route CLOB)
CREATE TABLE 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 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 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)
CREATE TABLE d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
CREATE TABLE 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_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
| list the top three most frequent diagnoses that a patient was diagnosed with in the same month after being diagnosed with elderly multigravida-del since 3 years ago. | SELECT d_icd_diagnoses.short_title FROM d_icd_diagnoses WHERE d_icd_diagnoses.icd9_code IN (SELECT t3.icd9_code FROM (SELECT t2.icd9_code, DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS c1 FROM (SELECT admissions.subject_id, diagnoses_icd.charttime FROM diagnoses_icd JOIN admissions ON diagnoses_icd.hadm_id = admissions.hadm_id WHERE diagnoses_icd.icd9_code = (SELECT d_icd_diagnoses.icd9_code FROM d_icd_diagnoses WHERE d_icd_diagnoses.short_title = 'elderly multigravida-del') AND DATETIME(diagnoses_icd.charttime) >= DATETIME(CURRENT_TIME(), '-3 year')) AS t1 JOIN (SELECT admissions.subject_id, diagnoses_icd.icd9_code, diagnoses_icd.charttime FROM diagnoses_icd JOIN admissions ON diagnoses_icd.hadm_id = admissions.hadm_id WHERE DATETIME(diagnoses_icd.charttime) >= DATETIME(CURRENT_TIME(), '-3 year')) AS t2 ON t1.subject_id = t2.subject_id WHERE t1.charttime < t2.charttime AND DATETIME(t1.charttime, 'start of month') = DATETIME(t2.charttime, 'start of month') GROUP BY t2.icd9_code) AS t3 WHERE t3.c1 <= 3) | WITH "t2" AS (SELECT "admissions"."subject_id", "diagnoses_icd"."icd9_code", "diagnoses_icd"."charttime" FROM "diagnoses_icd" JOIN "admissions" ON "admissions"."hadm_id" = "diagnoses_icd"."hadm_id" WHERE DATETIME("diagnoses_icd"."charttime") >= DATETIME(CURRENT_TIME(), '-3 year')), "t3" AS (SELECT "t2"."icd9_code", DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS "c1" FROM "diagnoses_icd" JOIN "d_icd_diagnoses" ON "d_icd_diagnoses"."icd9_code" = "diagnoses_icd"."icd9_code" AND "d_icd_diagnoses"."short_title" = 'elderly multigravida-del' JOIN "admissions" ON "admissions"."hadm_id" = "diagnoses_icd"."hadm_id" JOIN "t2" "t2" ON "admissions"."subject_id" = "t2"."subject_id" AND "diagnoses_icd"."charttime" < "t2"."charttime" AND DATETIME("diagnoses_icd"."charttime", 'start of month') = DATETIME("t2"."charttime", 'start of month') WHERE DATETIME("diagnoses_icd"."charttime") >= DATETIME(CURRENT_TIME(), '-3 year') GROUP BY "t2"."icd9_code"), "_u_1" AS (SELECT "t3"."icd9_code" FROM "t3" "t3" WHERE "t3"."c1" <= 3 GROUP BY "icd9_code") SELECT "d_icd_diagnoses"."short_title" FROM "d_icd_diagnoses" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "d_icd_diagnoses"."icd9_code" WHERE NOT "_u_1"."" IS NULL | 1.167969 |
CREATE TABLE ReviewTaskResultTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostsWithDeleted (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE FlagTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
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 ReviewTaskStates (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Comments (Id NUMBER, PostId NUMBER, Score NUMBER, Text CLOB, CreationDate TIME, UserDisplayName CLOB, UserId NUMBER, ContentLicense CLOB)
CREATE TABLE CloseReasonTypes (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 TagSynonyms (Id NUMBER, SourceTagName CLOB, TargetTagName CLOB, CreationDate TIME, OwnerUserId NUMBER, AutoRenameCount NUMBER, LastAutoRename TIME, Score NUMBER, ApprovedByUserId NUMBER, ApprovalDate TIME)
CREATE TABLE VoteTypes (Id NUMBER, Name CLOB)
CREATE TABLE PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
CREATE TABLE Posts (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE PostTags (PostId NUMBER, TagId NUMBER)
CREATE TABLE ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment CLOB)
CREATE TABLE Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount NUMBER)
CREATE TABLE PendingFlags (Id NUMBER, FlagTypeId NUMBER, PostId NUMBER, CreationDate TIME, CloseReasonTypeId NUMBER, CloseAsOffTopicReasonTypeId NUMBER, DuplicateOfQuestionId NUMBER, BelongsOnBaseHostAddress CLOB)
CREATE TABLE ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId NUMBER)
CREATE TABLE PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
CREATE TABLE Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId 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 PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId NUMBER)
CREATE TABLE PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId NUMBER)
CREATE TABLE PostTypes (Id NUMBER, Name CLOB)
CREATE TABLE Users (Id NUMBER, Reputation NUMBER, CreationDate TIME, DisplayName CLOB, LastAccessDate TIME, WebsiteUrl CLOB, Location CLOB, AboutMe CLOB, Views NUMBER, UpVotes NUMBER, DownVotes NUMBER, ProfileImageUrl CLOB, EmailHash CLOB, AccountId NUMBER)
CREATE TABLE ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
CREATE TABLE PostHistoryTypes (Id NUMBER, Name CLOB)
CREATE TABLE SuggestedEditVotes (Id NUMBER, SuggestedEditId NUMBER, UserId NUMBER, VoteTypeId NUMBER, CreationDate TIME, TargetUserId NUMBER, TargetRepChange NUMBER)
CREATE TABLE ReviewTaskTypes (Id NUMBER, Name CLOB, Description CLOB)
| Swift iOS Developers from Cracow found via Stack Overflow. | SELECT DisplayName AS "display_name", Users.Id AS "user_link", SUM(CASE Votes.VoteTypeId WHEN 2 THEN 1 WHEN 3 THEN -1 END) AS Score, Reputation FROM Tags INNER JOIN PostTags ON PostTags.TagId = Tags.Id INNER JOIN Posts ON Posts.ParentId = PostTags.PostId INNER JOIN Users ON Posts.OwnerUserId = Users.Id INNER JOIN Votes ON Votes.PostId = Posts.Id WHERE (LOWER(Location) LIKE '%krak%' OR LOWER(Location) LIKE '%cracow%') AND (Tags.TagName = 'ios' OR Tags.TagName = 'objective-c' OR Tags.TagName = 'swift') AND Reputation > 10 GROUP BY DisplayName, Users.Id, Reputation ORDER BY Score DESC | SELECT "DisplayName" AS "display_name", "Users"."Id" AS "user_link", SUM(CASE WHEN "Votes"."VoteTypeId" = 2 THEN 1 WHEN "Votes"."VoteTypeId" = 3 THEN -1 END) AS "Score", "Reputation" FROM "Tags" JOIN "PostTags" ON "PostTags"."TagId" = "Tags"."Id" JOIN "Posts" ON "PostTags"."PostId" = "Posts"."ParentId" JOIN "Users" ON "Posts"."OwnerUserId" = "Users"."Id" JOIN "Votes" ON "Posts"."Id" = "Votes"."PostId" WHERE "Reputation" > 10 AND ("Tags"."TagName" = 'ios' OR "Tags"."TagName" = 'objective-c' OR "Tags"."TagName" = 'swift') AND (LOWER("Location") LIKE '%cracow%' OR LOWER("Location") LIKE '%krak%') GROUP BY "DisplayName", "Users"."Id", "Reputation" ORDER BY "Score" DESC | 0.657227 |
CREATE TABLE table_name_35 (result VARCHAR2, venue VARCHAR2, opponent VARCHAR2)
| Which result has a Venue of away, and an Opponent of marbella? | SELECT result FROM table_name_35 WHERE venue = "away" AND opponent = "marbella" | SELECT "result" FROM "table_name_35" WHERE "away" = "venue" AND "marbella" = "opponent" | 0.084961 |
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE 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 diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
| how many patients with private insurance had procedure under icd9 code 8852? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.insurance = "Private" AND procedures.icd9_code = "8852" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "procedures" ON "8852" = "procedures"."icd9_code" AND "demographic"."hadm_id" = "procedures"."hadm_id" WHERE "Private" = "demographic"."insurance" | 0.214844 |
CREATE TABLE table_76759 ("Player" CLOB, "Pos." CLOB, "Nationality" CLOB, "Team" CLOB, "Previous team" CLOB, "Years of NBA experience [a ]" FLOAT, "Career with the franchise [b ]" CLOB)
| How many years of NBA experience does the player who plays position g for the Portland Trail Blazers? | SELECT "Years of NBA experience [a ]" FROM table_76759 WHERE "Pos." = 'g' AND "Team" = 'portland trail blazers' | SELECT "Years of NBA experience [a ]" FROM "table_76759" WHERE "Pos." = 'g' AND "Team" = 'portland trail blazers' | 0.110352 |
CREATE TABLE table_42154 ("Team" CLOB, "Match" FLOAT, "Points" FLOAT, "Draw" FLOAT, "Lost" FLOAT)
| What is the total number of Points from a Match that is larger than 18? | SELECT COUNT("Points") FROM table_42154 WHERE "Match" > '18' | SELECT COUNT("Points") FROM "table_42154" WHERE "Match" > '18' | 0.060547 |
CREATE TABLE table_76756 ("Episode #" FLOAT, "US air date" CLOB, "Rating" CLOB, "Share" CLOB, "Rating/Share ( 18\\u201349 ) " CLOB, "Viewers ( millions ) " FLOAT)
| What is the average number of million viewers that watched an episode before episode 11 with a share of 4? | SELECT AVG("Viewers (millions)") FROM table_76756 WHERE "Episode #" < '11' AND "Share" = '4' | SELECT AVG("Viewers (millions)") FROM "table_76756" WHERE "Episode #" < '11' AND "Share" = '4' | 0.091797 |
CREATE TABLE table_2842 ("Game" FLOAT, "Date" CLOB, "Team" CLOB, "Score" CLOB, "High points" CLOB, "High rebounds" CLOB, "High assists" CLOB, "Location Attendance" CLOB, "Record" CLOB)
| What's the record of the game with number 40? | SELECT "Record" FROM table_2842 WHERE "Game" = '40' | SELECT "Record" FROM "table_2842" WHERE "Game" = '40' | 0.051758 |
CREATE TABLE table_20266 ("Platform" FLOAT, "Frequency ( per hour ) " FLOAT, "Destination" CLOB, "Service Pattern" CLOB, "Operator" CLOB, "Line" CLOB)
| When the service pattern is sydenham then fast to norwood junction, what is the destination? | SELECT "Destination" FROM table_20266 WHERE "Service Pattern" = 'Sydenham then fast to Norwood Junction' | SELECT "Destination" FROM "table_20266" WHERE "Service Pattern" = 'Sydenham then fast to Norwood Junction' | 0.103516 |
CREATE TABLE table_21104 ("Name" CLOB, "Latitude" CLOB, "Longitude" CLOB, "Diameter ( km ) " CLOB, "Year named" FLOAT, "Name origin" CLOB)
| At a longitude of 293.0e, what is the diameter, in km? | SELECT "Diameter (km)" FROM table_21104 WHERE "Longitude" = '293.0E' | SELECT "Diameter (km)" FROM "table_21104" WHERE "Longitude" = '293.0E' | 0.068359 |
CREATE TABLE table_name_81 (position VARCHAR2, school_club_team VARCHAR2)
| What's the position listed for the east carolina team? | SELECT position FROM table_name_81 WHERE school_club_team = "east carolina" | SELECT "position" FROM "table_name_81" WHERE "east carolina" = "school_club_team" | 0.079102 |
CREATE TABLE lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime TIME)
CREATE TABLE diagnosis (diagnosisid NUMBER, patientunitstayid NUMBER, diagnosisname CLOB, diagnosistime TIME, icd9code CLOB)
CREATE TABLE intakeoutput (intakeoutputid NUMBER, patientunitstayid NUMBER, cellpath CLOB, celllabel CLOB, cellvaluenumeric NUMBER, intakeoutputtime TIME)
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 allergy (allergyid NUMBER, patientunitstayid NUMBER, drugname CLOB, allergyname CLOB, allergytime TIME)
CREATE TABLE vitalperiodic (vitalperiodicid NUMBER, patientunitstayid NUMBER, temperature NUMBER, sao2 NUMBER, heartrate NUMBER, respiration NUMBER, systemicsystolic NUMBER, systemicdiastolic NUMBER, systemicmean NUMBER, observationtime TIME)
CREATE TABLE patient (uniquepid CLOB, patienthealthsystemstayid NUMBER, patientunitstayid NUMBER, gender CLOB, age CLOB, ethnicity CLOB, hospitalid NUMBER, wardid NUMBER, admissionheight NUMBER, admissionweight NUMBER, dischargeweight NUMBER, hospitaladmittime TIME, hospitaladmitsource CLOB, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus CLOB)
CREATE TABLE 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)
| how many patients until 3 years ago were prescribed pantoprazole sodium 40 mg po tbec after prophylactic antibacterials - for surgery in the same month? | SELECT COUNT(DISTINCT t1.uniquepid) FROM (SELECT patient.uniquepid, treatment.treatmenttime FROM treatment JOIN patient ON treatment.patientunitstayid = patient.patientunitstayid WHERE treatment.treatmentname = 'prophylactic antibacterials - for surgery' AND DATETIME(treatment.treatmenttime) <= DATETIME(CURRENT_TIME(), '-3 year')) AS t1 JOIN (SELECT patient.uniquepid, medication.drugstarttime FROM medication JOIN patient ON medication.patientunitstayid = patient.patientunitstayid WHERE medication.drugname = 'pantoprazole sodium 40 mg po tbec' AND DATETIME(medication.drugstarttime) <= DATETIME(CURRENT_TIME(), '-3 year')) AS t2 WHERE t1.treatmenttime < t2.drugstarttime AND DATETIME(t1.treatmenttime, 'start of month') = DATETIME(t2.drugstarttime, 'start of month') | SELECT COUNT(DISTINCT "patient"."uniquepid") FROM "treatment" JOIN "patient" ON "patient"."patientunitstayid" = "treatment"."patientunitstayid" JOIN "medication" ON "medication"."drugname" = 'pantoprazole sodium 40 mg po tbec' AND "medication"."drugstarttime" > "treatment"."treatmenttime" AND DATETIME("medication"."drugstarttime") <= DATETIME(CURRENT_TIME(), '-3 year') AND DATETIME("medication"."drugstarttime", 'start of month') = DATETIME("treatment"."treatmenttime", 'start of month') JOIN "patient" "patient_2" ON "medication"."patientunitstayid" = "patient_2"."patientunitstayid" WHERE "treatment"."treatmentname" = 'prophylactic antibacterials - for surgery' AND DATETIME("treatment"."treatmenttime") <= DATETIME(CURRENT_TIME(), '-3 year') | 0.730469 |
CREATE TABLE table_6731 ("Season" FLOAT, "Team" CLOB, "Wins" FLOAT, "Losses" FLOAT, "Draws" FLOAT)
| What is the highest Draws with less than 18 losses for north melbourne later than 1926? | SELECT MAX("Draws") FROM table_6731 WHERE "Losses" < '18' AND "Team" = 'north melbourne' AND "Season" > '1926' | SELECT MAX("Draws") FROM "table_6731" WHERE "Losses" < '18' AND "Season" > '1926' AND "Team" = 'north melbourne' | 0.109375 |
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 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 departments (DEPARTMENT_ID NUMBER, DEPARTMENT_NAME VARCHAR2, MANAGER_ID NUMBER, LOCATION_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, draw a bar chart about the distribution of job_id and the average of employee_id , and group by attribute job_id, rank by the Y-axis in descending. | SELECT JOB_ID, AVG(EMPLOYEE_ID) FROM employees WHERE SALARY BETWEEN 8000 AND 12000 AND COMMISSION_PCT <> "null" OR DEPARTMENT_ID <> 40 GROUP BY JOB_ID ORDER BY AVG(EMPLOYEE_ID) DESC | SELECT "JOB_ID", AVG("EMPLOYEE_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) GROUP BY "JOB_ID" ORDER BY AVG("EMPLOYEE_ID") DESC | 0.253906 |
CREATE TABLE table_35628 ("Rank" CLOB, "Nation" CLOB, "Gold" FLOAT, "Silver" FLOAT, "Bronze" FLOAT, "Total" FLOAT)
| Which Bronze is the lowest one that has a Nation of total, and a Gold smaller than 14? | SELECT MIN("Bronze") FROM table_35628 WHERE "Nation" = 'total' AND "Gold" < '14' | SELECT MIN("Bronze") FROM "table_35628" WHERE "Gold" < '14' AND "Nation" = 'total' | 0.080078 |
CREATE TABLE table_22344463_2 (date_of_birth VARCHAR2, name VARCHAR2)
| If the name is Timo Higgins, what is the total date of birth amount? | SELECT COUNT(date_of_birth) FROM table_22344463_2 WHERE name = "Timo Higgins" | SELECT COUNT("date_of_birth") FROM "table_22344463_2" WHERE "Timo Higgins" = "name" | 0.081055 |
CREATE TABLE Customers_Cards (card_id NUMBER, customer_id NUMBER, card_type_code VARCHAR2, card_number VARCHAR2, date_valid_from DATETIME, date_valid_to DATETIME, other_card_details VARCHAR2)
CREATE TABLE Customers (customer_id NUMBER, customer_first_name VARCHAR2, customer_last_name VARCHAR2, customer_address VARCHAR2, customer_phone VARCHAR2, customer_email VARCHAR2, other_customer_details VARCHAR2)
CREATE TABLE Accounts (account_id NUMBER, customer_id NUMBER, account_name VARCHAR2, other_account_details VARCHAR2)
CREATE TABLE Financial_Transactions (transaction_id NUMBER, previous_transaction_id NUMBER, account_id NUMBER, card_id NUMBER, transaction_type VARCHAR2, transaction_date DATETIME, transaction_amount DOUBLE PRECISION, transaction_comment VARCHAR2, other_transaction_details VARCHAR2)
| Show the transaction type and the number of transactions by a bar chart. | SELECT transaction_type, COUNT(*) FROM Financial_Transactions GROUP BY transaction_type | SELECT "transaction_type", COUNT(*) FROM "Financial_Transactions" GROUP BY "transaction_type" | 0.09082 |
CREATE TABLE table_name_13 (location VARCHAR2, year VARCHAR2, runner_up VARCHAR2)
| Where in 1985 was tim mayotte runner up? | SELECT location FROM table_name_13 WHERE year > 1985 AND runner_up = "tim mayotte" | SELECT "location" FROM "table_name_13" WHERE "runner_up" = "tim mayotte" AND "year" > 1985 | 0.087891 |
CREATE TABLE table_30566 ("Pick #" FLOAT, "Player" CLOB, "Position" CLOB, "Nationality" CLOB, "NHL team" CLOB, "College/junior/club team" CLOB)
| What is Michal Pivonka's pick number? | SELECT COUNT("Pick #") FROM table_30566 WHERE "Player" = 'Michal Pivonka' | SELECT COUNT("Pick #") FROM "table_30566" WHERE "Player" = 'Michal Pivonka' | 0.073242 |
CREATE TABLE PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
CREATE TABLE ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
CREATE TABLE PostHistoryTypes (Id NUMBER, Name CLOB)
CREATE TABLE SuggestedEditVotes (Id NUMBER, SuggestedEditId NUMBER, UserId NUMBER, VoteTypeId NUMBER, CreationDate TIME, TargetUserId NUMBER, TargetRepChange NUMBER)
CREATE TABLE VoteTypes (Id NUMBER, Name CLOB)
CREATE TABLE 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 PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
CREATE TABLE PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId NUMBER)
CREATE TABLE Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
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 Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount NUMBER)
CREATE TABLE CloseReasonTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE ReviewTaskTypes (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 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 PostsWithDeleted (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE CloseAsOffTopicReasonTypes (Id NUMBER, IsUniversal BOOLEAN, InputTitle CLOB, MarkdownInputGuidance CLOB, MarkdownPostOwnerGuidance CLOB, MarkdownPrivilegedUserGuidance CLOB, MarkdownConcensusDescription CLOB, CreationDate TIME, CreationModeratorId NUMBER, ApprovalDate TIME, ApprovalModeratorId NUMBER, DeactivationDate TIME, DeactivationModeratorId NUMBER)
CREATE TABLE Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
CREATE TABLE TagSynonyms (Id NUMBER, SourceTagName CLOB, TargetTagName CLOB, CreationDate TIME, OwnerUserId NUMBER, AutoRenameCount NUMBER, LastAutoRename TIME, Score NUMBER, ApprovedByUserId NUMBER, ApprovalDate TIME)
CREATE TABLE FlagTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostHistory (Id NUMBER, PostHistoryTypeId NUMBER, PostId NUMBER, RevisionGUID other, CreationDate TIME, UserId NUMBER, UserDisplayName CLOB, Comment CLOB, Text CLOB, ContentLicense CLOB)
CREATE TABLE 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 ReviewTaskResultTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId NUMBER)
CREATE TABLE PostTags (PostId NUMBER, TagId NUMBER)
CREATE TABLE PostTypes (Id NUMBER, Name CLOB)
| Top 30 Users in T rkiye. | SELECT ROW_NUMBER() OVER (ORDER BY Reputation DESC) AS "#", Id AS "user_link", Reputation FROM Users WHERE LOWER(Location) LIKE '%turkey%' OR UPPER(Location) LIKE '%TR' OR UPPER(Location) LIKE 'ISTANBUL' OR LOWER(Location) LIKE 'istanbul' OR UPPER(Location) LIKE 'IZMIR' OR LOWER(Location) LIKE 'izmir' OR UPPER(Location) LIKE 'ANKARA' OR LOWER(Location) LIKE 'ankara' OR UPPER(Location) LIKE 'ESKISEHIR' OR LOWER(Location) LIKE 'eskisehir' ORDER BY Reputation DESC LIMIT 30 | SELECT ROW_NUMBER() OVER (ORDER BY "Reputation" DESC) AS "#", "Id" AS "user_link", "Reputation" FROM "Users" WHERE LOWER("Location") LIKE '%turkey%' OR LOWER("Location") LIKE 'ankara' OR LOWER("Location") LIKE 'eskisehir' OR LOWER("Location") LIKE 'istanbul' OR LOWER("Location") LIKE 'izmir' OR UPPER("Location") LIKE '%TR' OR UPPER("Location") LIKE 'ANKARA' OR UPPER("Location") LIKE 'ESKISEHIR' OR UPPER("Location") LIKE 'ISTANBUL' OR UPPER("Location") LIKE 'IZMIR' ORDER BY "Reputation" DESC FETCH FIRST 30 ROWS ONLY | 0.507813 |
CREATE TABLE table_15621965_14 (school_club_team VARCHAR2, player VARCHAR2)
| Name the school/club team for kevin ollie | SELECT school_club_team FROM table_15621965_14 WHERE player = "Kevin Ollie" | SELECT "school_club_team" FROM "table_15621965_14" WHERE "Kevin Ollie" = "player" | 0.079102 |
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 time_zone (time_zone_code CLOB, time_zone_name CLOB, hours_from_gmt NUMBER)
CREATE TABLE class_of_service (booking_class VARCHAR2, rank NUMBER, class_description CLOB)
CREATE TABLE compartment_class (compartment VARCHAR2, class_type VARCHAR2)
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 flight (aircraft_code_sequence CLOB, airline_code VARCHAR2, airline_flight CLOB, arrival_time NUMBER, connections NUMBER, departure_time NUMBER, dual_carrier CLOB, flight_days CLOB, flight_id NUMBER, flight_number NUMBER, from_airport VARCHAR2, meal_code CLOB, stops NUMBER, time_elapsed NUMBER, to_airport VARCHAR2)
CREATE TABLE restriction (restriction_code CLOB, advance_purchase NUMBER, stopovers CLOB, saturday_stay_required CLOB, minimum_stay NUMBER, maximum_stay NUMBER, application CLOB, no_discounts CLOB)
CREATE TABLE dual_carrier (main_airline VARCHAR2, low_flight_number NUMBER, high_flight_number NUMBER, dual_airline VARCHAR2, service_name CLOB)
CREATE TABLE month (month_number NUMBER, month_name CLOB)
CREATE TABLE days (days_code VARCHAR2, day_name VARCHAR2)
CREATE TABLE flight_stop (flight_id NUMBER, stop_number NUMBER, stop_days CLOB, stop_airport CLOB, arrival_time NUMBER, arrival_airline CLOB, arrival_flight_number NUMBER, departure_time NUMBER, departure_airline CLOB, departure_flight_number NUMBER, stop_time NUMBER)
CREATE TABLE time_interval (period CLOB, begin_time NUMBER, end_time NUMBER)
CREATE TABLE airline (airline_code VARCHAR2, airline_name CLOB, note CLOB)
CREATE TABLE flight_fare (flight_id NUMBER, fare_id NUMBER)
CREATE TABLE state (state_code CLOB, state_name CLOB, country_name CLOB)
CREATE TABLE food_service (meal_code CLOB, meal_number NUMBER, compartment CLOB, meal_description VARCHAR2)
CREATE TABLE code_description (code VARCHAR2, 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 city (city_code VARCHAR2, city_name VARCHAR2, state_code VARCHAR2, country_name VARCHAR2, time_zone_code VARCHAR2)
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 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 date_day (month_number NUMBER, day_number NUMBER, year NUMBER, day_name VARCHAR2)
| flights from KANSAS CITY to CLEVELAND on wednesday before 1700 | 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 ((date_day.day_number = 23 AND date_day.month_number = 4 AND date_day.year = 1991 AND days.day_name = date_day.day_name AND flight.departure_time < 1700 AND flight.flight_days = days.days_code) AND CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'CLEVELAND' AND flight.to_airport = AIRPORT_SERVICE_1.airport_code) AND CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'KANSAS CITY' 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" = 23 AND "date_day"."month_number" = 4 AND "date_day"."year" = 1991 JOIN "city" "CITY_0" ON "AIRPORT_SERVICE_0"."city_code" = "CITY_0"."city_code" AND "CITY_0"."city_name" = 'KANSAS CITY' 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" AND "flight"."departure_time" < 1700 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" = 'CLEVELAND' | 0.735352 |
CREATE TABLE table_name_66 (against NUMBER, played VARCHAR2, drawn VARCHAR2, points VARCHAR2)
| What is the average against that has a drawn less than 7, points greater than 22, and 19 for the played? | SELECT AVG(against) FROM table_name_66 WHERE drawn < 7 AND points > 22 AND played = 19 | SELECT AVG("against") FROM "table_name_66" WHERE "drawn" < 7 AND "played" = 19 AND "points" > 22 | 0.09375 |
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
| give me the number of patients diagnosed with atherosclerosis of native arteries of extremities with intermittent claudication who were hospitalized for more than a day. | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.days_stay > "1" AND diagnoses.short_title = "Ath ext ntv at w claudct" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "Ath ext ntv at w claudct" = "diagnoses"."short_title" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" WHERE "1" < "demographic"."days_stay" | 0.227539 |
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
| give me the number of patients diagnosed with accident in residential institution who had abnormal lab test status. | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE diagnoses.short_title = "Accid in resident instit" AND lab.flag = "abnormal" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "Accid in resident instit" = "diagnoses"."short_title" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" JOIN "lab" ON "abnormal" = "lab"."flag" AND "demographic"."hadm_id" = "lab"."hadm_id" | 0.274414 |
CREATE TABLE table_9763 ("Stage" FLOAT, "Winner" CLOB, "General Classification" CLOB, "Points Classification" CLOB, "Mountains Classification" CLOB, "Metas Volantes Classification" CLOB, "Team Classification" CLOB)
| Who led the metas volantes classification for stage 4? | SELECT "Metas Volantes Classification" FROM table_9763 WHERE "Stage" = '4' | SELECT "Metas Volantes Classification" FROM "table_9763" WHERE "Stage" = '4' | 0.074219 |
CREATE TABLE table_name_2 (opponent VARCHAR2, record VARCHAR2)
| Who has a Record of 5-2? | SELECT opponent FROM table_name_2 WHERE record = "5-2" | SELECT "opponent" FROM "table_name_2" WHERE "5-2" = "record" | 0.058594 |
CREATE TABLE Document_Locations (Document_ID NUMBER, Location_Code CHAR, Date_in_Location_From DATETIME, Date_in_Locaton_To DATETIME)
CREATE TABLE All_Documents (Document_ID NUMBER, Date_Stored DATETIME, Document_Type_Code CHAR, Document_Name CHAR, Document_Description CHAR, Other_Details VARCHAR2)
CREATE TABLE Roles (Role_Code CHAR, Role_Name VARCHAR2, Role_Description VARCHAR2)
CREATE TABLE Ref_Locations (Location_Code CHAR, Location_Name VARCHAR2, Location_Description VARCHAR2)
CREATE TABLE Documents_to_be_Destroyed (Document_ID NUMBER, Destruction_Authorised_by_Employee_ID NUMBER, Destroyed_by_Employee_ID NUMBER, Planned_Destruction_Date DATETIME, Actual_Destruction_Date DATETIME, Other_Details VARCHAR2)
CREATE TABLE Employees (Employee_ID NUMBER, Role_Code CHAR, Employee_Name VARCHAR2, Gender_MFU CHAR, Date_of_Birth DATETIME, Other_Details VARCHAR2)
CREATE TABLE Ref_Calendar (Calendar_Date DATETIME, Day_Number NUMBER)
CREATE TABLE Ref_Document_Types (Document_Type_Code CHAR, Document_Type_Name VARCHAR2, Document_Type_Description VARCHAR2)
| Show the number of documents in different ending date and group by ending date with a line chart, and display in desc by the X. | SELECT Date_in_Locaton_To, COUNT(Date_in_Locaton_To) FROM Document_Locations GROUP BY Date_in_Locaton_To ORDER BY Date_in_Locaton_To DESC | SELECT "Date_in_Locaton_To", COUNT("Date_in_Locaton_To") FROM "Document_Locations" GROUP BY "Date_in_Locaton_To" ORDER BY "Date_in_Locaton_To" DESC | 0.143555 |
CREATE TABLE d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
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 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 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_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 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 outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value 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 inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
CREATE TABLE patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
CREATE TABLE diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime 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)
CREATE TABLE cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
| indicate the daily maximum arterial bp [diastolic] of patient 5544 in 04/this year. | SELECT MAX(chartevents.valuenum) FROM chartevents WHERE chartevents.icustay_id IN (SELECT icustays.icustay_id FROM icustays WHERE icustays.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 5544)) AND chartevents.itemid IN (SELECT d_items.itemid FROM d_items WHERE d_items.label = 'arterial bp [diastolic]' AND d_items.linksto = 'chartevents') AND DATETIME(chartevents.charttime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-0 year') AND STRFTIME('%m', chartevents.charttime) = '04' GROUP BY STRFTIME('%y-%m-%d', chartevents.charttime) | WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 5544 GROUP BY "hadm_id"), "_u_1" AS (SELECT "icustays"."icustay_id" FROM "icustays" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "icustays"."hadm_id" WHERE NOT "_u_0"."" IS NULL GROUP BY "icustay_id"), "_u_2" AS (SELECT "d_items"."itemid" FROM "d_items" WHERE "d_items"."label" = 'arterial bp [diastolic]' AND "d_items"."linksto" = 'chartevents' GROUP BY "itemid") SELECT MAX("chartevents"."valuenum") FROM "chartevents" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "chartevents"."icustay_id" LEFT JOIN "_u_2" "_u_2" ON "_u_2"."" = "chartevents"."itemid" WHERE DATETIME("chartevents"."charttime", 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-0 year') AND NOT "_u_1"."" IS NULL AND NOT "_u_2"."" IS NULL AND STRFTIME('%m', "chartevents"."charttime") = '04' GROUP BY STRFTIME('%y-%m-%d', "chartevents"."charttime") | 0.894531 |
CREATE TABLE table_2380212_1 (year NUMBER, avg_attendance VARCHAR2)
| When was the average attendance 789? | SELECT MIN(year) FROM table_2380212_1 WHERE avg_attendance = 789 | SELECT MIN("year") FROM "table_2380212_1" WHERE "avg_attendance" = 789 | 0.068359 |
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE 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)
| provide the number of patients whose procedure long title is intraoperative cardiac pacemaker and lab test category is hematology? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE procedures.long_title = "Intraoperative cardiac pacemaker" AND lab."CATEGORY" = "Hematology" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "lab" ON "Hematology" = "lab"."CATEGORY" AND "demographic"."hadm_id" = "lab"."hadm_id" JOIN "procedures" ON "Intraoperative cardiac pacemaker" = "procedures"."long_title" AND "demographic"."hadm_id" = "procedures"."hadm_id" | 0.290039 |
CREATE TABLE table_name_79 (school VARCHAR2, player VARCHAR2)
| What is the name of the school that has a player named Michael Dunigan? | SELECT school FROM table_name_79 WHERE player = "michael dunigan" | SELECT "school" FROM "table_name_79" WHERE "michael dunigan" = "player" | 0.069336 |
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
| Provide the number of patients with sepsis as their primary disease. | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.diagnosis = "SEPSIS" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "SEPSIS" = "demographic"."diagnosis" | 0.108398 |
CREATE TABLE table_79825 ("Nat." CLOB, "Name" CLOB, "Since" CLOB, "Goals" FLOAT, "Transfer fee" CLOB)
| What is the since year for the player with more than 3 goals and a transfer fee of 400k? | SELECT "Since" FROM table_79825 WHERE "Goals" > '3' AND "Transfer fee" = '£400k' | SELECT "Since" FROM "table_79825" WHERE "Goals" > '3' AND "Transfer fee" = '£400k' | 0.080078 |
CREATE TABLE table_27441210_13 (year VARCHAR2, country VARCHAR2)
| How many years was the country Belgium? | SELECT COUNT(year) FROM table_27441210_13 WHERE country = "Belgium" | SELECT COUNT("year") FROM "table_27441210_13" WHERE "Belgium" = "country" | 0.071289 |
CREATE TABLE student (stu_num NUMBER, stu_lname CLOB, stu_fname CLOB, stu_init CLOB, stu_dob TIME, stu_hrs NUMBER, stu_class CLOB, stu_gpa NUMBER, stu_transfer NUMBER, dept_code CLOB, stu_phone CLOB, prof_num NUMBER)
CREATE TABLE employee (emp_num NUMBER, emp_lname CLOB, emp_fname CLOB, emp_initial CLOB, emp_jobcode CLOB, emp_hiredate TIME, emp_dob TIME)
CREATE TABLE department (dept_code CLOB, dept_name CLOB, school_code CLOB, emp_num NUMBER, dept_address CLOB, dept_extension CLOB)
CREATE TABLE class (class_code CLOB, crs_code CLOB, class_section CLOB, class_time CLOB, class_room CLOB, prof_num NUMBER)
CREATE TABLE course (crs_code CLOB, dept_code CLOB, crs_description CLOB, crs_credit NUMBER)
CREATE TABLE professor (emp_num NUMBER, dept_code CLOB, prof_office CLOB, prof_extension CLOB, prof_high_degree CLOB)
CREATE TABLE enroll (class_code CLOB, stu_num NUMBER, enroll_grade CLOB)
| What is the total number of professors with a Ph.D. ? | SELECT COUNT(*) FROM professor WHERE prof_high_degree = 'Ph.D.' | SELECT COUNT(*) FROM "professor" WHERE "prof_high_degree" = 'Ph.D.' | 0.06543 |
CREATE TABLE table_66366 ("Number" FLOAT, "Song Title" CLOB, "Lyricist" CLOB, "Singer ( s ) " CLOB, "Length" CLOB)
| What is the average number for the song 'O Sudha'? | SELECT AVG("Number") FROM table_66366 WHERE "Song Title" = 'o sudha' | SELECT AVG("Number") FROM "table_66366" WHERE "Song Title" = 'o sudha' | 0.068359 |
CREATE TABLE inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount 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 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 d_labitems (row_id NUMBER, itemid NUMBER, label 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 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 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 procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE 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_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)
| what procedure is provided to patient 728 two or more times until 07/2102? | SELECT d_icd_procedures.short_title FROM d_icd_procedures WHERE d_icd_procedures.icd9_code IN (SELECT t1.icd9_code FROM (SELECT procedures_icd.icd9_code, COUNT(procedures_icd.charttime) AS c1 FROM procedures_icd WHERE procedures_icd.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 728) AND STRFTIME('%y-%m', procedures_icd.charttime) <= '2102-07' GROUP BY procedures_icd.icd9_code) AS t1 WHERE t1.c1 >= 2) | WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 728 GROUP BY "hadm_id"), "t1" AS (SELECT "procedures_icd"."icd9_code", COUNT("procedures_icd"."charttime") AS "c1" FROM "procedures_icd" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "procedures_icd"."hadm_id" WHERE NOT "_u_0"."" IS NULL AND STRFTIME('%y-%m', "procedures_icd"."charttime") <= '2102-07' GROUP BY "procedures_icd"."icd9_code"), "_u_1" AS (SELECT "t1"."icd9_code" FROM "t1" "t1" WHERE "t1"."c1" >= 2 GROUP BY "icd9_code") SELECT "d_icd_procedures"."short_title" FROM "d_icd_procedures" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "d_icd_procedures"."icd9_code" WHERE NOT "_u_1"."" IS NULL | 0.671875 |
CREATE TABLE procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
CREATE TABLE 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_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
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 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 d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
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 outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value 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 inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
CREATE TABLE d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
| what are the top four frequently prescribed drugs that patients have been prescribed within 2 months after having been prescribed simvastatin in 2103? | SELECT t3.drug FROM (SELECT t2.drug, DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS c1 FROM (SELECT admissions.subject_id, prescriptions.startdate FROM prescriptions JOIN admissions ON prescriptions.hadm_id = admissions.hadm_id WHERE prescriptions.drug = 'simvastatin' AND STRFTIME('%y', prescriptions.startdate) = '2103') AS t1 JOIN (SELECT admissions.subject_id, prescriptions.drug, prescriptions.startdate FROM prescriptions JOIN admissions ON prescriptions.hadm_id = admissions.hadm_id WHERE STRFTIME('%y', prescriptions.startdate) = '2103') AS t2 ON t1.subject_id = t2.subject_id WHERE t1.startdate < t2.startdate AND DATETIME(t2.startdate) BETWEEN DATETIME(t1.startdate) AND DATETIME(t1.startdate, '+2 month') GROUP BY t2.drug) AS t3 WHERE t3.c1 <= 4 | WITH "t2" AS (SELECT "admissions"."subject_id", "prescriptions"."drug", "prescriptions"."startdate" FROM "prescriptions" JOIN "admissions" ON "admissions"."hadm_id" = "prescriptions"."hadm_id" WHERE STRFTIME('%y', "prescriptions"."startdate") = '2103'), "t3" AS (SELECT "t2"."drug", DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS "c1" FROM "prescriptions" JOIN "admissions" ON "admissions"."hadm_id" = "prescriptions"."hadm_id" JOIN "t2" "t2" ON "admissions"."subject_id" = "t2"."subject_id" AND "prescriptions"."startdate" < "t2"."startdate" AND DATETIME("prescriptions"."startdate") <= DATETIME("t2"."startdate") AND DATETIME("prescriptions"."startdate", '+2 month') >= DATETIME("t2"."startdate") WHERE "prescriptions"."drug" = 'simvastatin' AND STRFTIME('%y', "prescriptions"."startdate") = '2103' GROUP BY "t2"."drug") SELECT "t3"."drug" FROM "t3" "t3" WHERE "t3"."c1" <= 4 | 0.855469 |
CREATE TABLE table_203_221 (id NUMBER, "name" CLOB, "nationality" CLOB, "matches played" NUMBER, "goals scored" NUMBER, "notes" CLOB)
| what is the total number of matches played by brazilians for melbourne ? | SELECT SUM("matches played") FROM table_203_221 WHERE "nationality" = 'brazil' | SELECT SUM("matches played") FROM "table_203_221" WHERE "nationality" = 'brazil' | 0.078125 |
CREATE TABLE table_name_43 (home_team VARCHAR2, away_team VARCHAR2)
| Which team was the home team when playing South Melbourne? | SELECT home_team AS score FROM table_name_43 WHERE away_team = "south melbourne" | SELECT "home_team" AS "score" FROM "table_name_43" WHERE "away_team" = "south melbourne" | 0.085938 |
CREATE TABLE table_name_46 (equipment VARCHAR2, points VARCHAR2, position VARCHAR2)
| What is the Equipment that has a Point bigger than 256, and a Position of 3? | SELECT equipment FROM table_name_46 WHERE points > 256 AND position = 3 | SELECT "equipment" FROM "table_name_46" WHERE "points" > 256 AND "position" = 3 | 0.077148 |
CREATE TABLE program (program_id NUMBER, name VARCHAR2, college VARCHAR2, introduction VARCHAR2)
CREATE TABLE program_requirement (program_id NUMBER, category VARCHAR2, min_credit NUMBER, additional_req VARCHAR2)
CREATE TABLE area (course_id NUMBER, area 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 semester (semester_id NUMBER, semester VARCHAR2, year NUMBER)
CREATE TABLE instructor (instructor_id NUMBER, name VARCHAR2, uniqname 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 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 ta (campus_job_id NUMBER, student_id NUMBER, location VARCHAR2)
CREATE TABLE requirement (requirement_id NUMBER, requirement VARCHAR2, college VARCHAR2)
CREATE TABLE course_tags_count (course_id NUMBER, clear_grading NUMBER, pop_quiz NUMBER, group_projects NUMBER, inspirational NUMBER, long_lectures NUMBER, extra_credit NUMBER, few_tests NUMBER, good_feedback NUMBER, tough_tests NUMBER, heavy_papers NUMBER, cares_for_students NUMBER, heavy_assignments NUMBER, respected NUMBER, participation NUMBER, heavy_reading NUMBER, tough_grader NUMBER, hilarious NUMBER, would_take_again NUMBER, good_lecture NUMBER, no_skip NUMBER)
CREATE TABLE comment_instructor (instructor_id NUMBER, student_id NUMBER, score NUMBER, comment_text VARCHAR2)
CREATE TABLE student_record (student_id NUMBER, course_id NUMBER, semester NUMBER, grade VARCHAR2, how VARCHAR2, transfer_source VARCHAR2, earn_credit VARCHAR2, repeat_term VARCHAR2, test_id VARCHAR2)
CREATE TABLE 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 program_course (program_id NUMBER, course_id NUMBER, workload NUMBER, category VARCHAR2)
| Which upper-level NEUROSCI classes are available this Spring ? | SELECT DISTINCT course.department, course.name, course.number FROM course, course_offering, program_course, semester WHERE course.course_id = course_offering.course_id AND course.department = 'NEUROSCI' AND program_course.category LIKE '%ULCS%' AND program_course.course_id = course.course_id AND semester.semester = 'Spring' AND semester.semester_id = course_offering.semester AND semester.year = 2016 | SELECT DISTINCT "course"."department", "course"."name", "course"."number" FROM "course" JOIN "course_offering" ON "course"."course_id" = "course_offering"."course_id" JOIN "program_course" ON "course"."course_id" = "program_course"."course_id" AND "program_course"."category" LIKE '%ULCS%' JOIN "semester" ON "course_offering"."semester" = "semester"."semester_id" AND "semester"."semester" = 'Spring' AND "semester"."year" = 2016 WHERE "course"."department" = 'NEUROSCI' | 0.459961 |
CREATE TABLE Manufacturers (Code NUMBER, Name VARCHAR2, Headquarter VARCHAR2, Founder VARCHAR2, Revenue FLOAT)
CREATE TABLE Products (Code NUMBER, Name VARCHAR2, Price NUMBER, Manufacturer NUMBER)
| For those records from the products and each product's manufacturer, return a bar chart about the distribution of name and the sum of code , and group by attribute name, and order x-axis in ascending order. | SELECT T1.Name, T1.Code FROM Products AS T1 JOIN Manufacturers AS T2 ON T1.Manufacturer = T2.Code GROUP BY T1.Name ORDER BY T1.Name | SELECT "T1"."Name", "T1"."Code" FROM "Products" "T1" JOIN "Manufacturers" "T2" ON "T1"."Manufacturer" = "T2"."Code" GROUP BY "T1"."Name" ORDER BY "T1"."Name" | 0.15332 |
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