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CREATE TABLE table_name_81 (winning_constructor VARCHAR2, winning_drivers VARCHAR2)
| What brand of vehicle won a race driven by Tazio Nuvolari? | SELECT winning_constructor FROM table_name_81 WHERE winning_drivers = "tazio nuvolari" | SELECT "winning_constructor" FROM "table_name_81" WHERE "tazio nuvolari" = "winning_drivers" | 0.089844 |
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
| count the number of patients whose age is less than 58 and lab test fluid is urine? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.age < "58" AND lab.fluid = "Urine" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "lab" ON "Urine" = "lab"."fluid" AND "demographic"."hadm_id" = "lab"."hadm_id" WHERE "58" > "demographic"."age" | 0.180664 |
CREATE TABLE basketball_match (Team_ID NUMBER, School_ID NUMBER, Team_Name CLOB, ACC_Regular_Season CLOB, ACC_Percent CLOB, ACC_Home CLOB, ACC_Road CLOB, All_Games CLOB, All_Games_Percent NUMBER, All_Home CLOB, All_Road CLOB, All_Neutral CLOB)
CREATE TABLE university (School_ID NUMBER, School CLOB, Location CLOB, Founded FLOAT, Affiliation CLOB, Enrollment FLOAT, Nickname CLOB, Primary_conference CLOB)
| Create a bar chart showing school_id across all neutral, and rank by the School_ID from high to low. | SELECT All_Neutral, School_ID FROM basketball_match ORDER BY School_ID DESC | SELECT "All_Neutral", "School_ID" FROM "basketball_match" ORDER BY "School_ID" DESC | 0.081055 |
CREATE TABLE table_204_516 (id NUMBER, "date" CLOB, "opponents" CLOB, "h / a" CLOB, "result\ f - a" CLOB, "scorers" CLOB, "attendance" NUMBER)
| what was the date of the last game of the 1933-1934 season ? | SELECT "date" FROM table_204_516 ORDER BY "date" DESC LIMIT 1 | SELECT "date" FROM "table_204_516" ORDER BY "date" DESC FETCH FIRST 1 ROWS ONLY | 0.077148 |
CREATE TABLE departments (DEPARTMENT_ID NUMBER, DEPARTMENT_NAME VARCHAR2, MANAGER_ID NUMBER, LOCATION_ID NUMBER)
CREATE TABLE regions (REGION_ID NUMBER, REGION_NAME VARCHAR2)
CREATE TABLE job_history (EMPLOYEE_ID NUMBER, START_DATE DATE, END_DATE DATE, JOB_ID VARCHAR2, DEPARTMENT_ID 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 locations (LOCATION_ID NUMBER, STREET_ADDRESS VARCHAR2, POSTAL_CODE VARCHAR2, CITY VARCHAR2, STATE_PROVINCE VARCHAR2, COUNTRY_ID VARCHAR2)
CREATE TABLE jobs (JOB_ID VARCHAR2, JOB_TITLE VARCHAR2, MIN_SALARY NUMBER, MAX_SALARY NUMBER)
| For those employees whose salary is in the range of 8000 and 12000 and commission is not null or department number does not equal to 40, visualize a line chart about the change of department_id over hire_date , and display by the X from low to high. | SELECT HIRE_DATE, DEPARTMENT_ID FROM employees WHERE SALARY BETWEEN 8000 AND 12000 AND COMMISSION_PCT <> "null" OR DEPARTMENT_ID <> 40 ORDER BY HIRE_DATE | SELECT "HIRE_DATE", "DEPARTMENT_ID" FROM "employees" WHERE ("COMMISSION_PCT" <> "null" OR "DEPARTMENT_ID" <> 40) AND ("DEPARTMENT_ID" <> 40 OR "SALARY" <= 12000) AND ("DEPARTMENT_ID" <> 40 OR "SALARY" >= 8000) ORDER BY "HIRE_DATE" | 0.224609 |
CREATE TABLE PendingFlags (Id NUMBER, FlagTypeId NUMBER, PostId NUMBER, CreationDate TIME, CloseReasonTypeId NUMBER, CloseAsOffTopicReasonTypeId NUMBER, DuplicateOfQuestionId NUMBER, BelongsOnBaseHostAddress CLOB)
CREATE TABLE Posts (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE PostHistoryTypes (Id NUMBER, Name CLOB)
CREATE TABLE Users (Id NUMBER, Reputation NUMBER, CreationDate TIME, DisplayName CLOB, LastAccessDate TIME, WebsiteUrl CLOB, Location CLOB, AboutMe CLOB, Views NUMBER, UpVotes NUMBER, DownVotes NUMBER, ProfileImageUrl CLOB, EmailHash CLOB, AccountId NUMBER)
CREATE TABLE ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId NUMBER)
CREATE TABLE PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId NUMBER)
CREATE TABLE FlagTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE VoteTypes (Id NUMBER, Name CLOB)
CREATE TABLE PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
CREATE TABLE Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
CREATE TABLE ReviewTaskTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE ReviewTaskStates (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
CREATE TABLE ReviewTaskResultTypes (Id NUMBER, Name CLOB, Description 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 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 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 ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
CREATE TABLE CloseReasonTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount NUMBER)
CREATE TABLE SuggestedEditVotes (Id NUMBER, SuggestedEditId NUMBER, UserId NUMBER, VoteTypeId NUMBER, CreationDate TIME, TargetUserId NUMBER, TargetRepChange NUMBER)
CREATE TABLE Comments (Id NUMBER, PostId NUMBER, Score NUMBER, Text CLOB, CreationDate TIME, UserDisplayName CLOB, UserId NUMBER, ContentLicense CLOB)
CREATE TABLE Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
CREATE TABLE PostTypes (Id NUMBER, Name CLOB)
CREATE TABLE PostTags (PostId NUMBER, TagId NUMBER)
CREATE TABLE CloseAsOffTopicReasonTypes (Id NUMBER, IsUniversal BOOLEAN, InputTitle CLOB, MarkdownInputGuidance CLOB, MarkdownPostOwnerGuidance CLOB, MarkdownPrivilegedUserGuidance CLOB, MarkdownConcensusDescription CLOB, CreationDate TIME, CreationModeratorId NUMBER, ApprovalDate TIME, ApprovalModeratorId NUMBER, DeactivationDate TIME, DeactivationModeratorId NUMBER)
CREATE TABLE TagSynonyms (Id NUMBER, SourceTagName CLOB, TargetTagName CLOB, CreationDate TIME, OwnerUserId NUMBER, AutoRenameCount NUMBER, LastAutoRename TIME, Score NUMBER, ApprovedByUserId NUMBER, ApprovalDate TIME)
| Post History Types that don't occur. | SELECT Pt.* FROM PostHistoryTypes AS pt LEFT JOIN PostHistory AS ph ON pt.Id = ph.PostHistoryTypeId WHERE ph.PostHistoryTypeId IS NULL | SELECT "Pt".* FROM "PostHistoryTypes" "pt" LEFT JOIN "PostHistory" "ph" ON "ph"."PostHistoryTypeId" = "pt"."Id" WHERE "ph"."PostHistoryTypeId" IS NULL | 0.146484 |
CREATE TABLE journalist (journalist_ID NUMBER, Name CLOB, Nationality CLOB, Age CLOB, Years_working NUMBER)
CREATE TABLE news_report (journalist_ID NUMBER, Event_ID NUMBER, Work_Type CLOB)
CREATE TABLE event (Event_ID NUMBER, Date CLOB, Venue CLOB, Name CLOB, Event_Attendance NUMBER)
| What are the nationalities and their average ages of journalists Show me a bar chart, order in descending by the names. | SELECT Nationality, AVG(Age) FROM journalist GROUP BY Nationality ORDER BY Nationality DESC | SELECT "Nationality", AVG("Age") FROM "journalist" GROUP BY "Nationality" ORDER BY "Nationality" DESC | 0.098633 |
CREATE TABLE status (station_id NUMBER, bikes_available NUMBER, docks_available NUMBER, time CLOB)
CREATE TABLE weather (date CLOB, max_temperature_f NUMBER, mean_temperature_f NUMBER, min_temperature_f NUMBER, max_dew_point_f NUMBER, mean_dew_point_f NUMBER, min_dew_point_f NUMBER, max_humidity NUMBER, mean_humidity NUMBER, min_humidity NUMBER, max_sea_level_pressure_inches NUMBER, mean_sea_level_pressure_inches NUMBER, min_sea_level_pressure_inches NUMBER, max_visibility_miles NUMBER, mean_visibility_miles NUMBER, min_visibility_miles NUMBER, max_wind_Speed_mph NUMBER, mean_wind_speed_mph NUMBER, max_gust_speed_mph NUMBER, precipitation_inches NUMBER, cloud_cover NUMBER, events CLOB, wind_dir_degrees NUMBER, zip_code NUMBER)
CREATE TABLE trip (id NUMBER, duration NUMBER, start_date CLOB, start_station_name CLOB, start_station_id NUMBER, end_date CLOB, end_station_name CLOB, end_station_id NUMBER, bike_id NUMBER, subscription_type CLOB, zip_code NUMBER)
CREATE TABLE station (id NUMBER, name CLOB, lat NUMBER, long NUMBER, dock_count NUMBER, city CLOB, installation_date CLOB)
| Show me start_station_id by start station name in a histogram, and could you sort in desc by the start_station_name? | SELECT start_station_name, start_station_id FROM trip ORDER BY start_station_name DESC | SELECT "start_station_name", "start_station_id" FROM "trip" ORDER BY "start_station_name" DESC | 0.091797 |
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE 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)
| count the number of patients whose discharge location is left against medical advi and procedure icd9 code is 9960? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.discharge_location = "LEFT AGAINST MEDICAL ADVI" AND procedures.icd9_code = "9960" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "procedures" ON "9960" = "procedures"."icd9_code" AND "demographic"."hadm_id" = "procedures"."hadm_id" WHERE "LEFT AGAINST MEDICAL ADVI" = "demographic"."discharge_location" | 0.241211 |
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)
| at what time was the patient with patient id 6983 admitted in hospital? | SELECT demographic.admittime FROM demographic WHERE demographic.subject_id = "6983" | SELECT "demographic"."admittime" FROM "demographic" WHERE "6983" = "demographic"."subject_id" | 0.09082 |
CREATE TABLE table_204_785 (id NUMBER, "rank" NUMBER, "nation" CLOB, "gold" NUMBER, "silver" NUMBER, "bronze" NUMBER, "total" NUMBER)
| who won the most total medals ? | SELECT "nation" FROM table_204_785 ORDER BY "total" DESC LIMIT 1 | SELECT "nation" FROM "table_204_785" ORDER BY "total" DESC FETCH FIRST 1 ROWS ONLY | 0.080078 |
CREATE TABLE table_name_23 (country VARCHAR2, place VARCHAR2, score VARCHAR2)
| What is the home country of the player who placed t5 and had a score of 69-71=140? | SELECT country FROM table_name_23 WHERE place = "t5" AND score = 69 - 71 = 140 | SELECT "country" FROM "table_name_23" WHERE "place" = "t5" AND "score" = FALSE | 0.076172 |
CREATE TABLE table_name_80 (branding VARCHAR2, owner VARCHAR2, frequency VARCHAR2)
| What is the branding of the FM 97.7 station owned by the Canadian Broadcasting Corporation? | SELECT branding FROM table_name_80 WHERE owner = "canadian broadcasting corporation" AND frequency = "fm 97.7" | SELECT "branding" FROM "table_name_80" WHERE "canadian broadcasting corporation" = "owner" AND "fm 97.7" = "frequency" | 0.115234 |
CREATE TABLE table_40018 ("Draw" FLOAT, "Artist" CLOB, "Song" CLOB, "First vote" FLOAT, "Place" FLOAT)
| What is the highest place for song that was draw number 6? | SELECT MAX("Place") FROM table_40018 WHERE "Draw" = '6' | SELECT MAX("Place") FROM "table_40018" WHERE "Draw" = '6' | 0.055664 |
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 PostHistoryTypes (Id NUMBER, Name CLOB)
CREATE TABLE ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment CLOB)
CREATE TABLE PostTypes (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 Comments (Id NUMBER, PostId NUMBER, Score NUMBER, Text CLOB, CreationDate TIME, UserDisplayName CLOB, UserId NUMBER, ContentLicense CLOB)
CREATE TABLE FlagTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
CREATE TABLE TagSynonyms (Id NUMBER, SourceTagName CLOB, TargetTagName CLOB, CreationDate TIME, OwnerUserId NUMBER, AutoRenameCount NUMBER, LastAutoRename TIME, Score NUMBER, ApprovedByUserId NUMBER, ApprovalDate TIME)
CREATE TABLE PostTags (PostId NUMBER, TagId NUMBER)
CREATE TABLE SuggestedEditVotes (Id NUMBER, SuggestedEditId NUMBER, UserId NUMBER, VoteTypeId NUMBER, CreationDate TIME, TargetUserId NUMBER, TargetRepChange NUMBER)
CREATE TABLE ReviewTaskResultTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId NUMBER)
CREATE TABLE CloseAsOffTopicReasonTypes (Id NUMBER, IsUniversal BOOLEAN, InputTitle CLOB, MarkdownInputGuidance CLOB, MarkdownPostOwnerGuidance CLOB, MarkdownPrivilegedUserGuidance CLOB, MarkdownConcensusDescription CLOB, CreationDate TIME, CreationModeratorId NUMBER, ApprovalDate TIME, ApprovalModeratorId NUMBER, DeactivationDate TIME, DeactivationModeratorId NUMBER)
CREATE TABLE CloseReasonTypes (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 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 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 ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId 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 ReviewTaskTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE ReviewTaskStates (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostsWithDeleted (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE 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 VoteTypes (Id NUMBER, Name CLOB)
CREATE TABLE PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
| Breakdown of users by reputation groups. | WITH repgroups_cte AS (SELECT Id AS uid, CAST(Reputation / '##rep?100##' AS INT) AS rep FROM Users WHERE (Reputation >= '##min?125##')) SELECT rep, COUNT(uid) AS "count" FROM repgroups_cte GROUP BY rep ORDER BY rep DESC | SELECT "rep", COUNT("uid") AS "count" FROM "Users" WHERE "Reputation" >= '##min?125##' GROUP BY "rep" ORDER BY "rep" DESC | 0.118164 |
CREATE TABLE table_49504 ("Week" FLOAT, "Date" CLOB, "Opponent" CLOB, "Result" CLOB, "TV Time" CLOB, "Attendance" CLOB)
| WHAT WAS THE RESULT FOR NOVEMBER 29, 2001? | SELECT "Result" FROM table_49504 WHERE "Date" = 'november 29, 2001' | SELECT "Result" FROM "table_49504" WHERE "Date" = 'november 29, 2001' | 0.067383 |
CREATE TABLE PostHistoryTypes (Id NUMBER, Name CLOB)
CREATE TABLE ReviewTaskResultTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE ReviewTaskStates (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE CloseReasonTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
CREATE TABLE PostTags (PostId NUMBER, TagId 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 FlagTypes (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 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 PendingFlags (Id NUMBER, FlagTypeId NUMBER, PostId NUMBER, CreationDate TIME, CloseReasonTypeId NUMBER, CloseAsOffTopicReasonTypeId NUMBER, DuplicateOfQuestionId NUMBER, BelongsOnBaseHostAddress CLOB)
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 PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
CREATE TABLE Users (Id NUMBER, Reputation NUMBER, CreationDate TIME, DisplayName CLOB, LastAccessDate TIME, WebsiteUrl CLOB, Location CLOB, AboutMe CLOB, Views NUMBER, UpVotes NUMBER, DownVotes NUMBER, ProfileImageUrl CLOB, EmailHash CLOB, AccountId NUMBER)
CREATE TABLE PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId NUMBER)
CREATE TABLE PostHistory (Id NUMBER, PostHistoryTypeId NUMBER, PostId NUMBER, RevisionGUID other, CreationDate TIME, UserId NUMBER, UserDisplayName CLOB, Comment CLOB, Text CLOB, ContentLicense CLOB)
CREATE TABLE Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount NUMBER)
CREATE TABLE CloseAsOffTopicReasonTypes (Id NUMBER, IsUniversal BOOLEAN, InputTitle CLOB, MarkdownInputGuidance CLOB, MarkdownPostOwnerGuidance CLOB, MarkdownPrivilegedUserGuidance CLOB, MarkdownConcensusDescription CLOB, CreationDate TIME, CreationModeratorId NUMBER, ApprovalDate TIME, ApprovalModeratorId NUMBER, DeactivationDate TIME, DeactivationModeratorId NUMBER)
CREATE TABLE Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
CREATE TABLE VoteTypes (Id NUMBER, Name CLOB)
CREATE TABLE ReviewTaskTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostTypes (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 Posts (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE TagSynonyms (Id NUMBER, SourceTagName CLOB, TargetTagName CLOB, CreationDate TIME, OwnerUserId NUMBER, AutoRenameCount NUMBER, LastAutoRename TIME, Score NUMBER, ApprovedByUserId NUMBER, ApprovalDate TIME)
CREATE TABLE PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId NUMBER)
CREATE TABLE Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
| details of top users from india and japan. | SELECT * FROM Users WHERE UPPER(Location) LIKE '%IND' OR UPPER(Location) LIKE '%JPN' ORDER BY Reputation DESC LIMIT 500 | SELECT * FROM "Users" WHERE UPPER("Location") LIKE '%IND' OR UPPER("Location") LIKE '%JPN' ORDER BY "Reputation" DESC FETCH FIRST 500 ROWS ONLY | 0.139648 |
CREATE TABLE table_name_48 (set_2 VARCHAR2, set_1 VARCHAR2, set_5 VARCHAR2)
| What is the set 2 with a 25-23 set 1 and a 17-19 set 5? | SELECT set_2 FROM table_name_48 WHERE set_1 = "25-23" AND set_5 = "17-19" | SELECT "set_2" FROM "table_name_48" WHERE "17-19" = "set_5" AND "25-23" = "set_1" | 0.079102 |
CREATE TABLE table_1424 ("Candidate" CLOB, "State Delegate" FLOAT, "Percentage" CLOB, "Delegates" FLOAT, "Counties Carries" FLOAT)
| What's the percentage when the state delegate is 1662? | SELECT "Percentage" FROM table_1424 WHERE "State Delegate" = '1662' | SELECT "Percentage" FROM "table_1424" WHERE "State Delegate" = '1662' | 0.067383 |
CREATE TABLE medicine (id NUMBER, name CLOB, trade_name CLOB, fda_approved CLOB)
CREATE TABLE medicine_enzyme_interaction (enzyme_id NUMBER, medicine_id NUMBER, interaction_type CLOB)
CREATE TABLE enzyme (id NUMBER, name CLOB, location CLOB, product CLOB, chromosome CLOB, omim NUMBER, porphyria CLOB)
| How many medicines were not approved by the FDA? | SELECT COUNT(*) FROM medicine WHERE fda_approved = 'No' | SELECT COUNT(*) FROM "medicine" WHERE "fda_approved" = 'No' | 0.057617 |
CREATE TABLE table_13258823_2 (date VARCHAR2, record VARCHAR2)
| Name the date with the record of 1-0 | SELECT date FROM table_13258823_2 WHERE record = "1-0" | SELECT "date" FROM "table_13258823_2" WHERE "1-0" = "record" | 0.058594 |
CREATE TABLE date_day (month_number NUMBER, day_number NUMBER, year NUMBER, day_name VARCHAR2)
CREATE TABLE days (days_code VARCHAR2, day_name 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_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 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 airport (airport_code VARCHAR2, airport_name CLOB, airport_location CLOB, state_code VARCHAR2, country_name VARCHAR2, time_zone_code VARCHAR2, minimum_connect_time NUMBER)
CREATE TABLE flight (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 compartment_class (compartment VARCHAR2, class_type VARCHAR2)
CREATE TABLE flight_leg (flight_id NUMBER, leg_number NUMBER, leg_flight 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 dual_carrier (main_airline VARCHAR2, low_flight_number NUMBER, high_flight_number NUMBER, dual_airline VARCHAR2, service_name CLOB)
CREATE TABLE code_description (code VARCHAR2, description CLOB)
CREATE TABLE class_of_service (booking_class VARCHAR2, rank NUMBER, class_description CLOB)
CREATE TABLE ground_service (city_code CLOB, airport_code CLOB, transport_type CLOB, ground_fare NUMBER)
CREATE TABLE flight_fare (flight_id NUMBER, fare_id NUMBER)
CREATE TABLE fare_basis (fare_basis_code CLOB, booking_class CLOB, class_type CLOB, premium CLOB, economy CLOB, discounted CLOB, night CLOB, season CLOB, basis_days CLOB)
CREATE TABLE time_zone (time_zone_code CLOB, time_zone_name CLOB, hours_from_gmt 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 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 airport_service (city_code VARCHAR2, airport_code VARCHAR2, miles_distant NUMBER, direction VARCHAR2, minutes_distant NUMBER)
CREATE TABLE month (month_number NUMBER, month_name CLOB)
CREATE TABLE city (city_code VARCHAR2, city_name VARCHAR2, state_code VARCHAR2, country_name VARCHAR2, time_zone_code VARCHAR2)
| show me the cheapest flights from SAN FRANCISCO to PHILADELPHIA | SELECT DISTINCT fare.fare_id FROM airport_service AS AIRPORT_SERVICE_0, airport_service AS AIRPORT_SERVICE_1, city AS CITY_0, city AS CITY_1, fare, flight, flight_fare WHERE CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'SAN FRANCISCO' AND CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'PHILADELPHIA' AND fare.one_direction_cost = (SELECT MIN(FAREalias1.one_direction_cost) FROM airport_service AS AIRPORT_SERVICEalias2, airport_service AS AIRPORT_SERVICEalias3, city AS CITYalias2, city AS CITYalias3, fare AS FAREalias1, flight AS FLIGHTalias1, flight_fare AS FLIGHT_FAREalias1 WHERE CITYalias2.city_code = AIRPORT_SERVICEalias2.city_code AND CITYalias2.city_name = 'SAN FRANCISCO' AND CITYalias3.city_code = AIRPORT_SERVICEalias3.city_code AND CITYalias3.city_name = 'PHILADELPHIA' AND FLIGHT_FAREalias1.fare_id = FAREalias1.fare_id AND FLIGHTalias1.flight_id = FLIGHT_FAREalias1.flight_id AND FLIGHTalias1.from_airport = AIRPORT_SERVICEalias2.airport_code AND FLIGHTalias1.to_airport = AIRPORT_SERVICEalias3.airport_code) AND flight_fare.fare_id = fare.fare_id AND flight.flight_id = flight_fare.flight_id AND flight.from_airport = AIRPORT_SERVICE_0.airport_code AND flight.to_airport = AIRPORT_SERVICE_1.airport_code | WITH "_u_0" AS (SELECT MIN("FAREalias1"."one_direction_cost") FROM "airport_service" "AIRPORT_SERVICEalias2" JOIN "city" "CITYalias2" ON "AIRPORT_SERVICEalias2"."city_code" = "CITYalias2"."city_code" AND "CITYalias2"."city_name" = 'SAN FRANCISCO' JOIN "flight" "FLIGHTalias1" ON "AIRPORT_SERVICEalias2"."airport_code" = "FLIGHTalias1"."from_airport" JOIN "airport_service" "AIRPORT_SERVICEalias3" ON "AIRPORT_SERVICEalias3"."airport_code" = "FLIGHTalias1"."to_airport" JOIN "flight_fare" "FLIGHT_FAREalias1" ON "FLIGHT_FAREalias1"."flight_id" = "FLIGHTalias1"."flight_id" JOIN "city" "CITYalias3" ON "AIRPORT_SERVICEalias3"."city_code" = "CITYalias3"."city_code" AND "CITYalias3"."city_name" = 'PHILADELPHIA' JOIN "fare" "FAREalias1" ON "FAREalias1"."fare_id" = "FLIGHT_FAREalias1"."fare_id") SELECT DISTINCT "fare"."fare_id" FROM "airport_service" "AIRPORT_SERVICE_0" JOIN "city" "CITY_0" ON "AIRPORT_SERVICE_0"."city_code" = "CITY_0"."city_code" AND "CITY_0"."city_name" = 'SAN FRANCISCO' JOIN "flight" ON "AIRPORT_SERVICE_0"."airport_code" = "flight"."from_airport" JOIN "airport_service" "AIRPORT_SERVICE_1" ON "AIRPORT_SERVICE_1"."airport_code" = "flight"."to_airport" JOIN "flight_fare" ON "flight"."flight_id" = "flight_fare"."flight_id" JOIN "city" "CITY_1" ON "AIRPORT_SERVICE_1"."city_code" = "CITY_1"."city_code" AND "CITY_1"."city_name" = 'PHILADELPHIA' JOIN "fare" ON "fare"."fare_id" = "flight_fare"."fare_id" JOIN "_u_0" "_u_0" ON "_u_0"."" = "fare"."one_direction_cost" | 1.450195 |
CREATE TABLE table_44971 ("Player" CLOB, "League" FLOAT, "Title Playoff" FLOAT, "Super Cup" FLOAT, "Total" FLOAT)
| What is the highest League, when Title Playoff is greater than 0? | SELECT MAX("League") FROM table_44971 WHERE "Title Playoff" > '0' | SELECT MAX("League") FROM "table_44971" WHERE "Title Playoff" > '0' | 0.06543 |
CREATE TABLE appellations (No NUMBER, Appelation CLOB, County CLOB, State CLOB, Area CLOB, isAVA CLOB)
CREATE TABLE wine (No NUMBER, Grape CLOB, Winery CLOB, Appelation CLOB, State CLOB, Name CLOB, Year NUMBER, Price NUMBER, Score NUMBER, Cases NUMBER, Drink CLOB)
CREATE TABLE grapes (ID NUMBER, Grape CLOB, Color CLOB)
| Show the number of year of the maximum price and score of wines in a bar chart, and bin the year into the weekday interval. | SELECT Year, COUNT(Year) FROM wine | SELECT "Year", COUNT("Year") FROM "wine" | 0.039063 |
CREATE TABLE table_61920 ("Rank:" FLOAT, "Prime Minister:" CLOB, "Party:" CLOB, "Assumed Office:" CLOB, "Left Office:" CLOB, "TOTAL Time in Office:" CLOB)
| What is the party of the prime minister who left office on 11 March 1983? | SELECT "Party:" FROM table_61920 WHERE "Left Office:" = '11 march 1983' | SELECT "Party:" FROM "table_61920" WHERE "Left Office:" = '11 march 1983' | 0.071289 |
CREATE TABLE table_name_47 (entrant VARCHAR2, engine VARCHAR2)
| Which Entrant has a vanwall straight-4 engine? | SELECT entrant FROM table_name_47 WHERE engine = "vanwall straight-4" | SELECT "entrant" FROM "table_name_47" WHERE "engine" = "vanwall straight-4" | 0.073242 |
CREATE TABLE table_60618 ("English translation" CLOB, "Original album" CLOB, "Lyricist ( s ) " CLOB, "Composer ( s ) " CLOB, "Time" CLOB)
| What is Time, when Lyricist(s) is Giorgos Moukidis, and when English Translation is 'Nowhere'? | SELECT "Time" FROM table_60618 WHERE "Lyricist(s)" = 'giorgos moukidis' AND "English translation" = 'nowhere' | SELECT "Time" FROM "table_60618" WHERE "English translation" = 'nowhere' AND "Lyricist(s)" = 'giorgos moukidis' | 0.108398 |
CREATE TABLE table_name_55 (tyre VARCHAR2, drivers VARCHAR2, rounds VARCHAR2, team VARCHAR2)
| What is the tyre of nismo team member satoshi motoyama when he has rounds of all? | SELECT tyre FROM table_name_55 WHERE rounds = "all" AND team = "nismo" AND drivers = "satoshi motoyama" | SELECT "tyre" FROM "table_name_55" WHERE "all" = "rounds" AND "drivers" = "satoshi motoyama" AND "nismo" = "team" | 0.110352 |
CREATE TABLE table_25082 ("Year" FLOAT, "Network" CLOB, "Race caller" CLOB, "s Host" CLOB, "s Analyst" CLOB, "Reporters" CLOB, "Trophy presentation" CLOB)
| Name the race caller for jim mckay and howard cosell | SELECT "Race caller" FROM table_25082 WHERE "s Host" = 'Jim McKay' AND "Reporters" = 'Howard Cosell' | SELECT "Race caller" FROM "table_25082" WHERE "Reporters" = 'Howard Cosell' AND "s Host" = 'Jim McKay' | 0.099609 |
CREATE TABLE table_54040 ("Driver" CLOB, "Entrant" CLOB, "Constructor" CLOB, "Chassis" CLOB, "Engine" CLOB, "Tyre" CLOB)
| who is the driver with the engine era 1.5 l6 s and the chassis is era b? | SELECT "Driver" FROM table_54040 WHERE "Engine" = 'era 1.5 l6 s' AND "Chassis" = 'era b' | SELECT "Driver" FROM "table_54040" WHERE "Chassis" = 'era b' AND "Engine" = 'era 1.5 l6 s' | 0.087891 |
CREATE TABLE table_name_10 (winning_driver VARCHAR2, most_laps_led VARCHAR2, pole_position VARCHAR2)
| Who is the Winning Driver, when Most Laps Led is Dario Franchitti, and when Pole Position is H lio Castroneves? | SELECT winning_driver FROM table_name_10 WHERE most_laps_led = "dario franchitti" AND pole_position = "hélio castroneves" | SELECT "winning_driver" FROM "table_name_10" WHERE "dario franchitti" = "most_laps_led" AND "hélio castroneves" = "pole_position" | 0.125977 |
CREATE TABLE table_10110 ("Home team" CLOB, "Home team score" CLOB, "Away team" CLOB, "Away team score" CLOB, "Venue" CLOB, "Crowd" FLOAT, "Date" CLOB)
| What team played Essendon? | SELECT "Home team" FROM table_10110 WHERE "Away team" = 'essendon' | SELECT "Home team" FROM "table_10110" WHERE "Away team" = 'essendon' | 0.066406 |
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)
| specify the primary disease of patient orville ford | SELECT demographic.diagnosis FROM demographic WHERE demographic.name = "Orville Ford" | SELECT "demographic"."diagnosis" FROM "demographic" WHERE "Orville Ford" = "demographic"."name" | 0.092773 |
CREATE TABLE table_29008 ("Pick #" FLOAT, "Player" CLOB, "Position" CLOB, "Nationality" CLOB, "NHL team" CLOB, "College/junior/club team" CLOB)
| What is the name of the college/junior/club team of the Buffalo Sabres? | SELECT "College/junior/club team" FROM table_29008 WHERE "NHL team" = 'Buffalo Sabres' | SELECT "College/junior/club team" FROM "table_29008" WHERE "NHL team" = 'Buffalo Sabres' | 0.085938 |
CREATE TABLE table_28344 ("Road race" CLOB, "Distance" CLOB, "Location" CLOB, "Country" CLOB, "Month held" CLOB)
| What are all of the area where distance is marathon and month held is february | SELECT "Location" FROM table_28344 WHERE "Distance" = 'Marathon' AND "Month held" = 'February' | SELECT "Location" FROM "table_28344" WHERE "Distance" = 'Marathon' AND "Month held" = 'February' | 0.09375 |
CREATE TABLE time_interval (period CLOB, begin_time NUMBER, end_time NUMBER)
CREATE TABLE compartment_class (compartment VARCHAR2, class_type VARCHAR2)
CREATE TABLE state (state_code CLOB, state_name CLOB, country_name CLOB)
CREATE TABLE flight (aircraft_code_sequence CLOB, airline_code VARCHAR2, airline_flight CLOB, arrival_time NUMBER, connections NUMBER, departure_time NUMBER, dual_carrier CLOB, flight_days CLOB, flight_id NUMBER, flight_number NUMBER, from_airport VARCHAR2, meal_code CLOB, stops NUMBER, time_elapsed NUMBER, to_airport VARCHAR2)
CREATE TABLE month (month_number NUMBER, month_name CLOB)
CREATE TABLE airport_service (city_code VARCHAR2, airport_code VARCHAR2, miles_distant NUMBER, direction VARCHAR2, minutes_distant NUMBER)
CREATE TABLE equipment_sequence (aircraft_code_sequence VARCHAR2, aircraft_code VARCHAR2)
CREATE TABLE food_service (meal_code CLOB, meal_number NUMBER, compartment CLOB, meal_description 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 airline (airline_code VARCHAR2, airline_name CLOB, note CLOB)
CREATE TABLE date_day (month_number NUMBER, day_number NUMBER, year NUMBER, day_name VARCHAR2)
CREATE TABLE flight_leg (flight_id NUMBER, leg_number NUMBER, leg_flight NUMBER)
CREATE TABLE 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 class_of_service (booking_class VARCHAR2, rank NUMBER, class_description CLOB)
CREATE TABLE fare (fare_id NUMBER, from_airport VARCHAR2, to_airport VARCHAR2, fare_basis_code CLOB, fare_airline CLOB, restriction_code CLOB, one_direction_cost NUMBER, round_trip_cost NUMBER, round_trip_required VARCHAR2)
CREATE TABLE city (city_code VARCHAR2, city_name VARCHAR2, state_code VARCHAR2, country_name VARCHAR2, time_zone_code VARCHAR2)
CREATE TABLE time_zone (time_zone_code CLOB, time_zone_name CLOB, hours_from_gmt NUMBER)
CREATE TABLE code_description (code VARCHAR2, description 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 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 dual_carrier (main_airline VARCHAR2, low_flight_number NUMBER, high_flight_number NUMBER, dual_airline VARCHAR2, service_name CLOB)
CREATE TABLE ground_service (city_code CLOB, airport_code CLOB, transport_type CLOB, ground_fare NUMBER)
CREATE TABLE flight_fare (flight_id NUMBER, fare_id NUMBER)
CREATE TABLE restriction (restriction_code CLOB, advance_purchase NUMBER, stopovers CLOB, saturday_stay_required CLOB, minimum_stay NUMBER, maximum_stay NUMBER, application CLOB, no_discounts CLOB)
CREATE TABLE days (days_code VARCHAR2, day_name VARCHAR2)
| do you have the fare for traveling from OAK airport to OAKLAND downtown | SELECT DISTINCT ground_service.ground_fare FROM airport, city, ground_service WHERE airport.airport_code = 'OAK' AND city.city_name = 'OAKLAND' AND ground_service.airport_code = airport.airport_code AND ground_service.city_code = city.city_code | SELECT DISTINCT "ground_service"."ground_fare" FROM "airport" JOIN "ground_service" ON "airport"."airport_code" = "ground_service"."airport_code" JOIN "city" ON "city"."city_code" = "ground_service"."city_code" AND "city"."city_name" = 'OAKLAND' WHERE "airport"."airport_code" = 'OAK' | 0.277344 |
CREATE TABLE table_204_334 (id NUMBER, "opposition" CLOB, "matches" NUMBER, "won" NUMBER, "drawn" NUMBER, "lost" NUMBER, "for" NUMBER, "against" NUMBER, "win%" CLOB)
| who wins the most ? | SELECT "opposition" FROM table_204_334 WHERE "won" = (SELECT MAX("won") FROM table_204_334) | SELECT "opposition" FROM "table_204_334" WHERE "won" = (SELECT MAX("won") FROM "table_204_334") | 0.092773 |
CREATE TABLE checking (balance NUMBER)
CREATE TABLE accounts (name VARCHAR2, custid VARCHAR2)
| Find the name of accounts whose checking balance is below the average checking balance. | SELECT T1.name FROM accounts AS T1 JOIN checking AS T2 ON T1.custid = T2.custid WHERE T2.balance < (SELECT AVG(balance) FROM checking) | SELECT "T1"."name" FROM "accounts" "T1" JOIN "checking" "T2" ON "T1"."custid" = "T2"."custid" AND "T2"."balance" < (SELECT AVG("balance") FROM "checking") | 0.150391 |
CREATE TABLE addresses (city VARCHAR2)
| Show all distinct cities in the address record. | SELECT DISTINCT city FROM addresses | SELECT DISTINCT "city" FROM "addresses" | 0.038086 |
CREATE TABLE table_48052 ("Rider" CLOB, "Manufacturer" CLOB, "Laps" FLOAT, "Time" CLOB, "Grid" FLOAT)
| With a Grid less than 15, and a Time of +52.833, what is the highest number of Laps? | SELECT MAX("Laps") FROM table_48052 WHERE "Grid" < '15' AND "Time" = '+52.833' | SELECT MAX("Laps") FROM "table_48052" WHERE "Grid" < '15' AND "Time" = '+52.833' | 0.078125 |
CREATE TABLE table_59207 ("Rider" CLOB, "Bike" CLOB, "Laps" FLOAT, "Time" CLOB, "Grid" FLOAT)
| Name the Rider which has a Time of +59.304? | SELECT "Rider" FROM table_59207 WHERE "Time" = '+59.304' | SELECT "Rider" FROM "table_59207" WHERE "Time" = '+59.304' | 0.056641 |
CREATE TABLE employees (title VARCHAR2, phone VARCHAR2, hire_date VARCHAR2, first_name VARCHAR2, last_name VARCHAR2)
| What is the title, phone and hire date of Nancy Edwards? | SELECT title, phone, hire_date FROM employees WHERE first_name = "Nancy" AND last_name = "Edwards" | SELECT "title", "phone", "hire_date" FROM "employees" WHERE "Edwards" = "last_name" AND "Nancy" = "first_name" | 0.107422 |
CREATE TABLE table_204_235 (id NUMBER, "season" CLOB, "team" CLOB, "country" CLOB, "competition" CLOB, "matches" NUMBER, "goals" NUMBER)
| how many matches did jones kusi asare play in in his first season ? | SELECT "matches" FROM table_204_235 ORDER BY "season" LIMIT 1 | SELECT "matches" FROM "table_204_235" ORDER BY "season" FETCH FIRST 1 ROWS ONLY | 0.077148 |
CREATE TABLE table_34474 ("Rank" FLOAT, "Player" CLOB, "Country" CLOB, "Earnings ( $ ) " FLOAT, "Events" FLOAT, "Wins" FLOAT)
| How many earnings have Wins larger than 3? | SELECT SUM("Earnings ( $ )") FROM table_34474 WHERE "Wins" > '3' | SELECT SUM("Earnings ( $ )") FROM "table_34474" WHERE "Wins" > '3' | 0.064453 |
CREATE TABLE web_client_accelerator (id VARCHAR2, name VARCHAR2)
CREATE TABLE accelerator_compatible_browser (accelerator_id VARCHAR2, browser_id VARCHAR2)
CREATE TABLE browser (name VARCHAR2, id VARCHAR2)
| List the names of the browser that are compatible with both 'CACHEbox' and 'Fasterfox'. | SELECT T3.name FROM web_client_accelerator AS T1 JOIN accelerator_compatible_browser AS T2 ON T2.accelerator_id = T1.id JOIN browser AS T3 ON T2.browser_id = T3.id WHERE T1.name = 'CACHEbox' INTERSECT SELECT T3.name FROM web_client_accelerator AS T1 JOIN accelerator_compatible_browser AS T2 ON T2.accelerator_id = T1.id JOIN browser AS T3 ON T2.browser_id = T3.id WHERE T1.name = 'Fasterfox' | SELECT "T3"."name" FROM "web_client_accelerator" "T1" JOIN "accelerator_compatible_browser" "T2" ON "T1"."id" = "T2"."accelerator_id" JOIN "browser" "T3" ON "T2"."browser_id" = "T3"."id" WHERE "T1"."name" = 'CACHEbox' INTERSECT SELECT "T3"."name" FROM "web_client_accelerator" "T1" JOIN "accelerator_compatible_browser" "T2" ON "T1"."id" = "T2"."accelerator_id" JOIN "browser" "T3" ON "T2"."browser_id" = "T3"."id" WHERE "T1"."name" = 'Fasterfox' | 0.435547 |
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
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)
| how many patients whose ethnicity is american indian/alaska native and primary disease is hemopytsis? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.ethnicity = "AMERICAN INDIAN/ALASKA NATIVE" AND demographic.diagnosis = "HEMOPYTSIS" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "AMERICAN INDIAN/ALASKA NATIVE" = "demographic"."ethnicity" AND "HEMOPYTSIS" = "demographic"."diagnosis" | 0.174805 |
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
| provide the number of inpatient hospital admitted patients who were hospitalized for more than 29 days. | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.admission_location = "TRSF WITHIN THIS FACILITY" AND demographic.days_stay > "29" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "29" < "demographic"."days_stay" AND "TRSF WITHIN THIS FACILITY" = "demographic"."admission_location" | 0.171875 |
CREATE TABLE vitalperiodic (vitalperiodicid NUMBER, patientunitstayid NUMBER, temperature NUMBER, sao2 NUMBER, heartrate NUMBER, respiration NUMBER, systemicsystolic NUMBER, systemicdiastolic NUMBER, systemicmean NUMBER, observationtime TIME)
CREATE TABLE diagnosis (diagnosisid NUMBER, patientunitstayid NUMBER, diagnosisname CLOB, diagnosistime TIME, icd9code CLOB)
CREATE TABLE lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime 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)
CREATE TABLE microlab (microlabid NUMBER, patientunitstayid NUMBER, culturesite CLOB, organism CLOB, culturetakentime 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 patient (uniquepid CLOB, patienthealthsystemstayid NUMBER, patientunitstayid NUMBER, gender CLOB, age CLOB, ethnicity CLOB, hospitalid NUMBER, wardid NUMBER, admissionheight NUMBER, admissionweight NUMBER, dischargeweight NUMBER, hospitaladmittime TIME, hospitaladmitsource CLOB, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus CLOB)
CREATE TABLE intakeoutput (intakeoutputid NUMBER, patientunitstayid NUMBER, cellpath CLOB, celllabel CLOB, cellvaluenumeric NUMBER, intakeoutputtime TIME)
| what is the maximum yearly number of patients who suffer from s/p aneurysm resection/repair since 4 years ago? | SELECT MAX(t1.c1) FROM (SELECT COUNT(DISTINCT diagnosis.patientunitstayid) AS c1 FROM diagnosis WHERE diagnosis.diagnosisname = 's/p aneurysm resection/repair' AND DATETIME(diagnosis.diagnosistime) >= DATETIME(CURRENT_TIME(), '-4 year') GROUP BY STRFTIME('%y', diagnosis.diagnosistime)) AS t1 | WITH "t1" AS (SELECT COUNT(DISTINCT "diagnosis"."patientunitstayid") AS "c1" FROM "diagnosis" WHERE "diagnosis"."diagnosisname" = 's/p aneurysm resection/repair' AND DATETIME("diagnosis"."diagnosistime") >= DATETIME(CURRENT_TIME(), '-4 year') GROUP BY STRFTIME('%y', "diagnosis"."diagnosistime")) SELECT MAX("t1"."c1") FROM "t1" "t1" | 0.325195 |
CREATE TABLE table_23647668_2 (season VARCHAR2, champion VARCHAR2)
| How many season had Melgar as a champion? | SELECT COUNT(season) FROM table_23647668_2 WHERE champion = "Melgar" | SELECT COUNT("season") FROM "table_23647668_2" WHERE "Melgar" = "champion" | 0.072266 |
CREATE TABLE table_22853 ("Year" FLOAT, "Worldwide" FLOAT, "Africa" FLOAT, "America" FLOAT, "Asia" FLOAT, "Australia" FLOAT, "Europe" FLOAT)
| What is the minimum number of members Europe had at the time Africa had 7375139? | SELECT MIN("Europe") FROM table_22853 WHERE "Africa" = '7375139' | SELECT MIN("Europe") FROM "table_22853" WHERE "Africa" = '7375139' | 0.064453 |
CREATE TABLE table_46993 ("Res." CLOB, "Record" CLOB, "Opponent" CLOB, "Method" CLOB, "Event" CLOB, "Round" FLOAT, "Time" CLOB)
| What was the time when his opponent was Cleber Luciano? | SELECT "Time" FROM table_46993 WHERE "Opponent" = 'cleber luciano' | SELECT "Time" FROM "table_46993" WHERE "Opponent" = 'cleber luciano' | 0.066406 |
CREATE TABLE table_32026 ("Year" FLOAT, "Drivers" CLOB, "Races" FLOAT, "Wins" FLOAT, "Poles" FLOAT, "F.L." FLOAT, "Points" FLOAT, "D.C." CLOB, "T.C." CLOB)
| What is the sum of points in 2010 when the driver had more than 14 races and an F.L. of less than 0? | SELECT SUM("Points") FROM table_32026 WHERE "Year" = '2010' AND "Races" > '14' AND "F.L." < '0' | SELECT SUM("Points") FROM "table_32026" WHERE "F.L." < '0' AND "Races" > '14' AND "Year" = '2010' | 0.094727 |
CREATE TABLE table_name_26 (attendance NUMBER, opponent VARCHAR2, date VARCHAR2)
| Name the attendance for atlanta braves opponent for september 9 | SELECT AVG(attendance) FROM table_name_26 WHERE opponent = "atlanta braves" AND date = "september 9" | SELECT AVG("attendance") FROM "table_name_26" WHERE "atlanta braves" = "opponent" AND "date" = "september 9" | 0.105469 |
CREATE TABLE table_13710 ("Week" FLOAT, "Date" CLOB, "Opponent" CLOB, "Result" CLOB, "Attendance" CLOB)
| What is the Week of the game against Minnesota Vikings? | SELECT MAX("Week") FROM table_13710 WHERE "Opponent" = 'minnesota vikings' | SELECT MAX("Week") FROM "table_13710" WHERE "Opponent" = 'minnesota vikings' | 0.074219 |
CREATE TABLE table_204_723 (id NUMBER, "year" NUMBER, "film" CLOB, "role" CLOB, "notes" CLOB)
| which other 1986 film came after love 86 ? | SELECT "film" FROM table_204_723 WHERE id = (SELECT id FROM table_204_723 WHERE "film" = 'love 86') + 1 | SELECT "film" FROM "table_204_723" WHERE "id" = (SELECT "id" FROM "table_204_723" WHERE "film" = 'love 86') + 1 | 0.108398 |
CREATE TABLE table_18563954_3 (reason_for_change VARCHAR2, state__class_ VARCHAR2)
| Why did the change happened in Massachusetts (2)? | SELECT reason_for_change FROM table_18563954_3 WHERE state__class_ = "Massachusetts (2)" | SELECT "reason_for_change" FROM "table_18563954_3" WHERE "Massachusetts (2)" = "state__class_" | 0.091797 |
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)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
| how many male patients are less than 79 years of age? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.gender = "M" AND demographic.age < "79" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "79" > "demographic"."age" AND "M" = "demographic"."gender" | 0.130859 |
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 outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
CREATE TABLE d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
CREATE TABLE d_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 microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
CREATE TABLE icustays (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, first_careunit CLOB, last_careunit CLOB, first_wardid NUMBER, last_wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE 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 procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost 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 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)
| has there ever been any promote w/fiber given to patient 1912 since 57 months ago? | SELECT COUNT(*) > 0 FROM inputevents_cv WHERE inputevents_cv.icustay_id IN (SELECT icustays.icustay_id FROM icustays WHERE icustays.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 1912)) AND inputevents_cv.itemid IN (SELECT d_items.itemid FROM d_items WHERE d_items.label = 'promote w/fiber' AND d_items.linksto = 'inputevents_cv') AND DATETIME(inputevents_cv.charttime) >= DATETIME(CURRENT_TIME(), '-57 month') | WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 1912 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" = 'promote w/fiber' AND "d_items"."linksto" = 'inputevents_cv' GROUP BY "itemid") SELECT COUNT(*) > 0 FROM "inputevents_cv" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "inputevents_cv"."icustay_id" LEFT JOIN "_u_2" "_u_2" ON "_u_2"."" = "inputevents_cv"."itemid" WHERE DATETIME("inputevents_cv"."charttime") >= DATETIME(CURRENT_TIME(), '-57 month') AND NOT "_u_1"."" IS NULL AND NOT "_u_2"."" IS NULL | 0.74707 |
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 jobs (JOB_ID VARCHAR2, JOB_TITLE VARCHAR2, MIN_SALARY NUMBER, MAX_SALARY NUMBER)
CREATE TABLE regions (REGION_ID NUMBER, REGION_NAME VARCHAR2)
CREATE TABLE job_history (EMPLOYEE_ID NUMBER, START_DATE DATE, END_DATE DATE, JOB_ID VARCHAR2, 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 locations (LOCATION_ID NUMBER, STREET_ADDRESS VARCHAR2, POSTAL_CODE VARCHAR2, CITY VARCHAR2, STATE_PROVINCE VARCHAR2, COUNTRY_ID VARCHAR2)
| For those employees who was hired before 2002-06-21, visualize a bar chart about the distribution of hire_date and the sum of salary bin hire_date by time, and order by the y-axis from low to high please. | SELECT HIRE_DATE, SUM(SALARY) FROM employees WHERE HIRE_DATE < '2002-06-21' ORDER BY SUM(SALARY) | SELECT "HIRE_DATE", SUM("SALARY") FROM "employees" WHERE "HIRE_DATE" < '2002-06-21' ORDER BY SUM("SALARY") | 0.103516 |
CREATE TABLE table_26429543_1 (production_code VARCHAR2, us_viewers__millions_ VARCHAR2)
| How many different production codes are there for the episode with 4.69 million US viewers? | SELECT COUNT(production_code) FROM table_26429543_1 WHERE us_viewers__millions_ = "4.69" | SELECT COUNT("production_code") FROM "table_26429543_1" WHERE "4.69" = "us_viewers__millions_" | 0.091797 |
CREATE TABLE table_name_87 (l2_cache VARCHAR2, multi_1 VARCHAR2)
| What is the L2 cache with a 13.5x multi 1? | SELECT l2_cache FROM table_name_87 WHERE multi_1 = "13.5x" | SELECT "l2_cache" FROM "table_name_87" WHERE "13.5x" = "multi_1" | 0.0625 |
CREATE TABLE Rooms (RoomId CLOB, roomName CLOB, beds NUMBER, bedType CLOB, maxOccupancy NUMBER, basePrice NUMBER, decor CLOB)
CREATE TABLE Reservations (Code NUMBER, Room CLOB, CheckIn CLOB, CheckOut CLOB, Rate FLOAT, LastName CLOB, FirstName CLOB, Adults NUMBER, Kids NUMBER)
| Return a pie chart on what is the average base price of different bed type? List bed type and average base price. | SELECT bedType, AVG(basePrice) FROM Rooms GROUP BY bedType | SELECT "bedType", AVG("basePrice") FROM "Rooms" GROUP BY "bedType" | 0.064453 |
CREATE TABLE table_32169 ("Date" CLOB, "Venue" CLOB, "Result" CLOB, "Scored" FLOAT, "Competition" CLOB)
| What is the highest scored in the 2010 east asian football championship? | SELECT MAX("Scored") FROM table_32169 WHERE "Competition" = '2010 east asian football championship' | SELECT MAX("Scored") FROM "table_32169" WHERE "Competition" = '2010 east asian football championship' | 0.098633 |
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)
| A bar chart shows the distribution of Sex and the sum of Weight , and group by attribute Sex, list Y-axis in asc order please. | SELECT Sex, SUM(Weight) FROM people GROUP BY Sex ORDER BY SUM(Weight) | SELECT "Sex", SUM("Weight") FROM "people" GROUP BY "Sex" ORDER BY SUM("Weight") | 0.077148 |
CREATE TABLE table_19523708_1 (draw NUMBER)
| What is the highest draw represented? | SELECT MAX(draw) FROM table_19523708_1 | SELECT MAX("draw") FROM "table_19523708_1" | 0.041016 |
CREATE TABLE table_28802165_1 (s_acre NUMBER, civil_parish VARCHAR2)
| What is the maximum acres in Castledermot? | SELECT MAX(s_acre) FROM table_28802165_1 WHERE civil_parish = "Castledermot" | SELECT MAX("s_acre") FROM "table_28802165_1" WHERE "Castledermot" = "civil_parish" | 0.080078 |
CREATE TABLE customers_cards (card_id NUMBER, customer_id NUMBER, card_type_code CLOB, card_number CLOB, date_valid_from TIME, date_valid_to TIME, other_card_details CLOB)
CREATE TABLE customers (customer_id NUMBER, customer_first_name CLOB, customer_last_name CLOB, customer_address CLOB, customer_phone CLOB, customer_email CLOB, other_customer_details CLOB)
CREATE TABLE financial_transactions (transaction_id NUMBER, previous_transaction_id NUMBER, account_id NUMBER, card_id NUMBER, transaction_type CLOB, transaction_date TIME, transaction_amount NUMBER, transaction_comment CLOB, other_transaction_details CLOB)
CREATE TABLE accounts (account_id NUMBER, customer_id NUMBER, account_name CLOB, other_account_details CLOB)
| What is the customer first, last name and id with least number of accounts. | SELECT T2.customer_first_name, T2.customer_last_name, T1.customer_id FROM accounts AS T1 JOIN customers AS T2 ON T1.customer_id = T2.customer_id GROUP BY T1.customer_id ORDER BY COUNT(*) LIMIT 1 | SELECT "T2"."customer_first_name", "T2"."customer_last_name", "T1"."customer_id" FROM "accounts" "T1" JOIN "customers" "T2" ON "T1"."customer_id" = "T2"."customer_id" GROUP BY "T1"."customer_id" ORDER BY COUNT(*) FETCH FIRST 1 ROWS ONLY | 0.230469 |
CREATE TABLE table_55837 ("Home team" CLOB, "Home team score" CLOB, "Away team" CLOB, "Away team score" CLOB, "Venue" CLOB, "Crowd" FLOAT, "Date" CLOB)
| What was home team North Melbourne's opponents score? | SELECT "Away team score" FROM table_55837 WHERE "Home team" = 'north melbourne' | SELECT "Away team score" FROM "table_55837" WHERE "Home team" = 'north melbourne' | 0.079102 |
CREATE TABLE table_23035 ("Application" CLOB, "Latest release date and version" CLOB, "Developed by" CLOB, "Platforms" CLOB, "Mainly Used For" CLOB, "License" CLOB)
| Name the number of developed by for solid edge | SELECT COUNT("Developed by") FROM table_23035 WHERE "Application" = 'Solid Edge' | SELECT COUNT("Developed by") FROM "table_23035" WHERE "Application" = 'Solid Edge' | 0.080078 |
CREATE TABLE treatment (treatmentid NUMBER, patientunitstayid NUMBER, treatmentname CLOB, treatmenttime TIME)
CREATE TABLE intakeoutput (intakeoutputid NUMBER, patientunitstayid NUMBER, cellpath CLOB, celllabel CLOB, cellvaluenumeric NUMBER, intakeoutputtime TIME)
CREATE TABLE vitalperiodic (vitalperiodicid NUMBER, patientunitstayid NUMBER, temperature NUMBER, sao2 NUMBER, heartrate NUMBER, respiration NUMBER, systemicsystolic NUMBER, systemicdiastolic NUMBER, systemicmean NUMBER, observationtime TIME)
CREATE TABLE 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 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 lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime TIME)
CREATE TABLE microlab (microlabid NUMBER, patientunitstayid NUMBER, culturesite CLOB, organism CLOB, culturetakentime TIME)
CREATE TABLE medication (medicationid NUMBER, patientunitstayid NUMBER, drugname CLOB, dosage CLOB, routeadmin CLOB, drugstarttime TIME, drugstoptime TIME)
| has patient 006-157753 been administered any enteral 2calhn on the current icu visit? | SELECT COUNT(*) > 0 FROM intakeoutput WHERE intakeoutput.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '006-157753') AND patient.unitdischargetime IS NULL) AND intakeoutput.cellpath LIKE '%intake%' AND intakeoutput.celllabel = 'enteral 2calhn' | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '006-157753' GROUP BY "patienthealthsystemstayid"), "_u_1" AS (SELECT "patient"."patientunitstayid" FROM "patient" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "patient"."patienthealthsystemstayid" WHERE "patient"."unitdischargetime" IS NULL AND NOT "_u_0"."" IS NULL GROUP BY "patientunitstayid") SELECT COUNT(*) > 0 FROM "intakeoutput" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "intakeoutput"."patientunitstayid" WHERE "intakeoutput"."celllabel" = 'enteral 2calhn' AND "intakeoutput"."cellpath" LIKE '%intake%' AND NOT "_u_1"."" IS NULL | 0.620117 |
CREATE TABLE table_50270 ("City" CLOB, "Country" CLOB, "IATA" CLOB, "ICAO" CLOB, "Airport" CLOB)
| What is the IATA for San Francisco airport? | SELECT "IATA" FROM table_50270 WHERE "Airport" = 'san francisco airport' | SELECT "IATA" FROM "table_50270" WHERE "Airport" = 'san francisco airport' | 0.072266 |
CREATE TABLE features (feature_id NUMBER, feature_details CLOB)
CREATE TABLE visitors (tourist_id NUMBER, tourist_details CLOB)
CREATE TABLE locations (location_id NUMBER, location_name CLOB, address CLOB, other_details CLOB)
CREATE TABLE ref_hotel_star_ratings (star_rating_code CLOB, star_rating_description CLOB)
CREATE TABLE tourist_attraction_features (tourist_attraction_id NUMBER, feature_id NUMBER)
CREATE TABLE royal_family (royal_family_id NUMBER, royal_family_details CLOB)
CREATE TABLE photos (photo_id NUMBER, tourist_attraction_id NUMBER, name CLOB, description CLOB, filename CLOB, other_details CLOB)
CREATE TABLE theme_parks (theme_park_id NUMBER, theme_park_details CLOB)
CREATE TABLE hotels (hotel_id NUMBER, star_rating_code CLOB, pets_allowed_yn CLOB, price_range NUMBER, other_hotel_details CLOB)
CREATE TABLE shops (shop_id NUMBER, shop_details CLOB)
CREATE TABLE street_markets (market_id NUMBER, market_details CLOB)
CREATE TABLE ref_attraction_types (attraction_type_code CLOB, attraction_type_description CLOB)
CREATE TABLE staff (staff_id NUMBER, tourist_attraction_id NUMBER, name CLOB, other_details CLOB)
CREATE TABLE museums (museum_id NUMBER, museum_details CLOB)
CREATE TABLE visits (visit_id NUMBER, tourist_attraction_id NUMBER, tourist_id NUMBER, visit_date TIME, visit_details CLOB)
CREATE TABLE tourist_attractions (tourist_attraction_id NUMBER, attraction_type_code CLOB, location_id NUMBER, how_to_get_there CLOB, name CLOB, description CLOB, opening_hours CLOB, other_details CLOB)
| Show the tourist attractions visited by the tourist whose detail is 'Vincent'. | SELECT T1.name FROM tourist_attractions AS T1 JOIN visits AS T2 ON T1.tourist_attraction_id = T2.tourist_attraction_id JOIN visitors AS T3 ON T2.tourist_id = T3.tourist_id WHERE T3.tourist_details = "Vincent" | SELECT "T1"."name" FROM "tourist_attractions" "T1" JOIN "visits" "T2" ON "T1"."tourist_attraction_id" = "T2"."tourist_attraction_id" JOIN "visitors" "T3" ON "T2"."tourist_id" = "T3"."tourist_id" AND "T3"."tourist_details" = "Vincent" | 0.227539 |
CREATE TABLE cost (costid NUMBER, uniquepid CLOB, patienthealthsystemstayid NUMBER, eventtype CLOB, eventid NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE treatment (treatmentid NUMBER, patientunitstayid NUMBER, treatmentname CLOB, treatmenttime TIME)
CREATE TABLE allergy (allergyid NUMBER, patientunitstayid NUMBER, drugname CLOB, allergyname CLOB, allergytime TIME)
CREATE TABLE lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime TIME)
CREATE TABLE medication (medicationid NUMBER, patientunitstayid NUMBER, drugname CLOB, dosage CLOB, routeadmin CLOB, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE intakeoutput (intakeoutputid NUMBER, patientunitstayid NUMBER, cellpath CLOB, celllabel CLOB, cellvaluenumeric NUMBER, intakeoutputtime TIME)
CREATE TABLE vitalperiodic (vitalperiodicid NUMBER, patientunitstayid NUMBER, temperature NUMBER, sao2 NUMBER, heartrate NUMBER, respiration NUMBER, systemicsystolic NUMBER, systemicdiastolic NUMBER, systemicmean NUMBER, observationtime TIME)
CREATE TABLE patient (uniquepid CLOB, patienthealthsystemstayid NUMBER, patientunitstayid NUMBER, gender CLOB, age CLOB, ethnicity CLOB, hospitalid NUMBER, wardid NUMBER, admissionheight NUMBER, admissionweight NUMBER, dischargeweight NUMBER, hospitaladmittime TIME, hospitaladmitsource CLOB, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus CLOB)
CREATE TABLE diagnosis (diagnosisid NUMBER, patientunitstayid NUMBER, diagnosisname CLOB, diagnosistime TIME, icd9code CLOB)
CREATE TABLE microlab (microlabid NUMBER, patientunitstayid NUMBER, culturesite CLOB, organism CLOB, culturetakentime TIME)
| what were the four most common specimen tests performed until 3 years ago? | SELECT t1.culturesite FROM (SELECT microlab.culturesite, DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS c1 FROM microlab WHERE DATETIME(microlab.culturetakentime) <= DATETIME(CURRENT_TIME(), '-3 year') GROUP BY microlab.culturesite) AS t1 WHERE t1.c1 <= 4 | WITH "t1" AS (SELECT "microlab"."culturesite", DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS "c1" FROM "microlab" WHERE DATETIME("microlab"."culturetakentime") <= DATETIME(CURRENT_TIME(), '-3 year') GROUP BY "microlab"."culturesite") SELECT "t1"."culturesite" FROM "t1" "t1" WHERE "t1"."c1" <= 4 | 0.288086 |
CREATE TABLE labevents (row_id NUMBER, subject_id NUMBER, hadm_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 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 d_labitems (row_id NUMBER, itemid NUMBER, label 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 cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE transfers (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, eventtype CLOB, careunit CLOB, wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE prescriptions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, startdate TIME, enddate TIME, drug CLOB, dose_val_rx CLOB, dose_unit_rx CLOB, route CLOB)
CREATE TABLE d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
CREATE TABLE admissions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, admittime TIME, dischtime TIME, admission_type CLOB, admission_location CLOB, discharge_location CLOB, insurance CLOB, language CLOB, marital_status CLOB, ethnicity CLOB, age NUMBER)
CREATE TABLE d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
CREATE TABLE patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
CREATE TABLE d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
| what were the three most frequently ordered microbiology tests for patients who had previously received percu abdominal drainage within the same hospital visit, in 2103? | SELECT t3.spec_type_desc FROM (SELECT t2.spec_type_desc, DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS c1 FROM (SELECT admissions.subject_id, procedures_icd.charttime, admissions.hadm_id FROM procedures_icd JOIN admissions ON procedures_icd.hadm_id = admissions.hadm_id WHERE procedures_icd.icd9_code = (SELECT d_icd_procedures.icd9_code FROM d_icd_procedures WHERE d_icd_procedures.short_title = 'percu abdominal drainage') AND STRFTIME('%y', procedures_icd.charttime) = '2103') AS t1 JOIN (SELECT admissions.subject_id, microbiologyevents.spec_type_desc, microbiologyevents.charttime, admissions.hadm_id FROM microbiologyevents JOIN admissions ON microbiologyevents.hadm_id = admissions.hadm_id WHERE STRFTIME('%y', microbiologyevents.charttime) = '2103') AS t2 ON t1.subject_id = t2.subject_id WHERE t1.charttime < t2.charttime AND t1.hadm_id = t2.hadm_id GROUP BY t2.spec_type_desc) AS t3 WHERE t3.c1 <= 3 | WITH "t2" AS (SELECT "admissions"."subject_id", "microbiologyevents"."spec_type_desc", "microbiologyevents"."charttime", "admissions"."hadm_id" FROM "microbiologyevents" JOIN "admissions" ON "admissions"."hadm_id" = "microbiologyevents"."hadm_id" WHERE STRFTIME('%y', "microbiologyevents"."charttime") = '2103'), "t3" AS (SELECT "t2"."spec_type_desc", DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS "c1" FROM "procedures_icd" JOIN "d_icd_procedures" ON "d_icd_procedures"."icd9_code" = "procedures_icd"."icd9_code" AND "d_icd_procedures"."short_title" = 'percu abdominal drainage' JOIN "admissions" ON "admissions"."hadm_id" = "procedures_icd"."hadm_id" JOIN "t2" "t2" ON "admissions"."hadm_id" = "t2"."hadm_id" AND "admissions"."subject_id" = "t2"."subject_id" AND "procedures_icd"."charttime" < "t2"."charttime" WHERE STRFTIME('%y', "procedures_icd"."charttime") = '2103' GROUP BY "t2"."spec_type_desc") SELECT "t3"."spec_type_desc" FROM "t3" "t3" WHERE "t3"."c1" <= 3 | 0.946289 |
CREATE TABLE table_1137707_2 (location VARCHAR2, fastest_lap VARCHAR2)
| What is the location of thierry boutsen? | SELECT location FROM table_1137707_2 WHERE fastest_lap = "Thierry Boutsen" | SELECT "location" FROM "table_1137707_2" WHERE "Thierry Boutsen" = "fastest_lap" | 0.078125 |
CREATE TABLE table_5218 ("Variant id" CLOB, "5pars_m_singleUTR splice" CLOB, "Coding" CLOB, "3pars_m_singleUTR sequence" CLOB, "GenBank id" CLOB)
| What Coding has a 3 UTR sequence of 6a 4 with a GenBank id of hq021439? | SELECT "Coding" FROM table_5218 WHERE "3\u2019UTR sequence" = '6a 4' AND "GenBank id" = 'hq021439' | SELECT "Coding" FROM "table_5218" WHERE "3\u2019UTR sequence" = '6a 4' AND "GenBank id" = 'hq021439' | 0.097656 |
CREATE TABLE Documents_to_be_Destroyed (Document_ID NUMBER, Destruction_Authorised_by_Employee_ID NUMBER, Destroyed_by_Employee_ID NUMBER, Planned_Destruction_Date DATETIME, Actual_Destruction_Date DATETIME, Other_Details VARCHAR2)
CREATE TABLE Ref_Calendar (Calendar_Date DATETIME, Day_Number NUMBER)
CREATE TABLE Ref_Document_Types (Document_Type_Code CHAR, Document_Type_Name VARCHAR2, Document_Type_Description VARCHAR2)
CREATE TABLE Ref_Locations (Location_Code CHAR, Location_Name VARCHAR2, Location_Description VARCHAR2)
CREATE TABLE Roles (Role_Code CHAR, Role_Name VARCHAR2, Role_Description VARCHAR2)
CREATE TABLE All_Documents (Document_ID NUMBER, Date_Stored DATETIME, Document_Type_Code CHAR, Document_Name CHAR, Document_Description CHAR, Other_Details VARCHAR2)
CREATE TABLE Document_Locations (Document_ID NUMBER, Location_Code CHAR, Date_in_Location_From DATETIME, Date_in_Locaton_To DATETIME)
CREATE TABLE Employees (Employee_ID NUMBER, Role_Code CHAR, Employee_Name VARCHAR2, Gender_MFU CHAR, Date_of_Birth DATETIME, Other_Details VARCHAR2)
| what is the code of each location and the number of documents in that location? | SELECT Location_Code, COUNT(*) FROM Document_Locations GROUP BY Location_Code | SELECT "Location_Code", COUNT(*) FROM "Document_Locations" GROUP BY "Location_Code" | 0.081055 |
CREATE TABLE table_name_53 (race VARCHAR2, winning_driver VARCHAR2, fastest_lap VARCHAR2)
| Which race had Jacky Ickx as the winner and Clay Regazzoni with the fastest lap? | SELECT race FROM table_name_53 WHERE winning_driver = "jacky ickx" AND fastest_lap = "clay regazzoni" | SELECT "race" FROM "table_name_53" WHERE "clay regazzoni" = "fastest_lap" AND "jacky ickx" = "winning_driver" | 0.106445 |
CREATE TABLE table_62066 ("Place" CLOB, "Player" CLOB, "Country" CLOB, "Score" CLOB, "To par" CLOB)
| Which Country has a Score of 71-74-70=215? | SELECT "Country" FROM table_62066 WHERE "Score" = '71-74-70=215' | SELECT "Country" FROM "table_62066" WHERE "Score" = '71-74-70=215' | 0.064453 |
CREATE TABLE course_prerequisite (pre_course_id NUMBER, course_id NUMBER)
CREATE TABLE student (student_id NUMBER, lastname VARCHAR2, firstname VARCHAR2, program_id NUMBER, declare_major VARCHAR2, total_credit NUMBER, total_gpa FLOAT, entered_as VARCHAR2, admit_term NUMBER, predicted_graduation_semester NUMBER, degree VARCHAR2, minor VARCHAR2, internship VARCHAR2)
CREATE TABLE instructor (instructor_id NUMBER, name VARCHAR2, uniqname VARCHAR2)
CREATE TABLE course_offering (offering_id NUMBER, course_id NUMBER, semester NUMBER, section_number NUMBER, start_time TIME, end_time TIME, monday VARCHAR2, tuesday VARCHAR2, wednesday VARCHAR2, thursday VARCHAR2, friday VARCHAR2, saturday VARCHAR2, sunday VARCHAR2, has_final_project VARCHAR2, has_final_exam VARCHAR2, textbook VARCHAR2, class_address VARCHAR2, allow_audit VARCHAR2)
CREATE TABLE program (program_id NUMBER, name VARCHAR2, college VARCHAR2, introduction VARCHAR2)
CREATE TABLE offering_instructor (offering_instructor_id NUMBER, offering_id NUMBER, instructor_id NUMBER)
CREATE TABLE semester (semester_id NUMBER, semester VARCHAR2, year NUMBER)
CREATE TABLE course_tags_count (course_id NUMBER, clear_grading NUMBER, pop_quiz NUMBER, group_projects NUMBER, inspirational NUMBER, long_lectures NUMBER, extra_credit NUMBER, few_tests NUMBER, good_feedback NUMBER, tough_tests NUMBER, heavy_papers NUMBER, cares_for_students NUMBER, heavy_assignments NUMBER, respected NUMBER, participation NUMBER, heavy_reading NUMBER, tough_grader NUMBER, hilarious NUMBER, would_take_again NUMBER, good_lecture NUMBER, no_skip NUMBER)
CREATE TABLE 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 comment_instructor (instructor_id NUMBER, student_id NUMBER, score NUMBER, comment_text VARCHAR2)
CREATE TABLE area (course_id NUMBER, area 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 program_requirement (program_id NUMBER, category VARCHAR2, min_credit NUMBER, additional_req VARCHAR2)
CREATE TABLE program_course (program_id NUMBER, course_id NUMBER, workload NUMBER, category VARCHAR2)
CREATE TABLE ta (campus_job_id NUMBER, student_id NUMBER, location VARCHAR2)
CREATE TABLE jobs (job_id NUMBER, job_title VARCHAR2, description VARCHAR2, requirement VARCHAR2, city VARCHAR2, state VARCHAR2, country VARCHAR2, zip NUMBER)
CREATE TABLE gsi (course_offering_id NUMBER, student_id NUMBER)
CREATE TABLE requirement (requirement_id NUMBER, requirement VARCHAR2, college VARCHAR2)
| Next semester , which 300 -level classes are available ? | SELECT DISTINCT course.department, course.name, course.number FROM course, course_offering, semester WHERE course.course_id = course_offering.course_id AND course.department = 'EECS' AND course.number BETWEEN 300 AND 300 + 100 AND semester.semester = 'FA' 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 "semester" ON "course_offering"."semester" = "semester"."semester_id" AND "semester"."semester" = 'FA' AND "semester"."year" = 2016 WHERE "course"."department" = 'EECS' AND "course"."number" <= 400 AND "course"."number" >= 300 | 0.388672 |
CREATE TABLE Reviewer (rID NUMBER, name CLOB)
CREATE TABLE Movie (mID NUMBER, title CLOB, year NUMBER, director CLOB)
CREATE TABLE Rating (rID NUMBER, mID NUMBER, stars NUMBER, ratingDate DATE)
| Give me a scatter chart to show the least rating star of the movie and the star rating of the movie, group the title. | SELECT stars, MIN(T1.stars) FROM Rating AS T1 JOIN Movie AS T2 ON T1.mID = T2.mID GROUP BY title | SELECT "stars", MIN("T1"."stars") FROM "Rating" "T1" JOIN "Movie" "T2" ON "T1"."mID" = "T2"."mID" GROUP BY "title" | 0.111328 |
CREATE TABLE table_33355 ("Home team" CLOB, "Home team score" CLOB, "Away team" CLOB, "Away team score" CLOB, "Venue" CLOB, "Crowd" FLOAT, "Date" CLOB)
| What is the venue where the home team is Footscray? | SELECT "Venue" FROM table_33355 WHERE "Home team" = 'footscray' | SELECT "Venue" FROM "table_33355" WHERE "Home team" = 'footscray' | 0.063477 |
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
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 discharge location is snf and procedure long title is injection or infusion of oxazolidinone class of antibiotics? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.discharge_location = "SNF" AND procedures.long_title = "Injection or infusion of oxazolidinone class of antibiotics" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "procedures" ON "Injection or infusion of oxazolidinone class of antibiotics" = "procedures"."long_title" AND "demographic"."hadm_id" = "procedures"."hadm_id" WHERE "SNF" = "demographic"."discharge_location" | 0.274414 |
CREATE TABLE table_46177 ("Rank" FLOAT, "Team" CLOB, "Played" FLOAT, "Loss" FLOAT, "Last 5" CLOB, "Streak" CLOB, "PF per game" FLOAT, "PA per game" FLOAT, "PD per game" FLOAT, "Winning %" CLOB)
| Which Played has a PD per game larger than 6.28, and a Loss smaller than 4? | SELECT MIN("Played") FROM table_46177 WHERE "PD per game" > '6.28' AND "Loss" < '4' | SELECT MIN("Played") FROM "table_46177" WHERE "Loss" < '4' AND "PD per game" > '6.28' | 0.083008 |
CREATE TABLE table_33401 ("Home team" CLOB, "Home team score" CLOB, "Away team" CLOB, "Away team score" CLOB, "Venue" CLOB, "Crowd" FLOAT, "Date" CLOB)
| What was the venue where the home team scored 11.12 (78)? | SELECT "Venue" FROM table_33401 WHERE "Home team score" = '11.12 (78)' | SELECT "Venue" FROM "table_33401" WHERE "Home team score" = '11.12 (78)' | 0.070313 |
CREATE TABLE table_1697190_1 (wins VARCHAR2, best_finish VARCHAR2)
| Name the wins for best finish being 2nd | SELECT wins FROM table_1697190_1 WHERE best_finish = "2nd" | SELECT "wins" FROM "table_1697190_1" WHERE "2nd" = "best_finish" | 0.0625 |
CREATE TABLE faculty (facid NUMBER, lname CLOB, fname CLOB, rank CLOB, sex CLOB, phone NUMBER, room CLOB, building CLOB)
CREATE TABLE student (stuid NUMBER, lname CLOB, fname CLOB, age NUMBER, sex CLOB, major NUMBER, advisor NUMBER, city_code CLOB)
CREATE TABLE course (cid CLOB, cname CLOB, credits NUMBER, instructor NUMBER, days CLOB, hours CLOB, dno NUMBER)
CREATE TABLE gradeconversion (lettergrade CLOB, gradepoint NUMBER)
CREATE TABLE minor_in (stuid NUMBER, dno NUMBER)
CREATE TABLE member_of (facid NUMBER, dno NUMBER, appt_type CLOB)
CREATE TABLE enrolled_in (stuid NUMBER, cid CLOB, grade CLOB)
CREATE TABLE department (dno NUMBER, division CLOB, dname CLOB, room CLOB, building CLOB, dphone NUMBER)
| Give the building that the instructor who teaches the greatest number of courses lives in. | SELECT T2.building FROM course AS T1 JOIN faculty AS T2 ON T1.instructor = T2.facid GROUP BY T1.instructor ORDER BY COUNT(*) DESC LIMIT 1 | SELECT "T2"."building" FROM "course" "T1" JOIN "faculty" "T2" ON "T1"."instructor" = "T2"."facid" GROUP BY "T1"."instructor" ORDER BY COUNT(*) DESC FETCH FIRST 1 ROWS ONLY | 0.166992 |
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 microlab (microlabid NUMBER, patientunitstayid NUMBER, culturesite CLOB, organism CLOB, culturetakentime TIME)
CREATE TABLE treatment (treatmentid NUMBER, patientunitstayid NUMBER, treatmentname CLOB, treatmenttime TIME)
CREATE TABLE diagnosis (diagnosisid NUMBER, patientunitstayid NUMBER, diagnosisname CLOB, diagnosistime TIME, icd9code CLOB)
CREATE TABLE patient (uniquepid CLOB, patienthealthsystemstayid NUMBER, patientunitstayid NUMBER, gender CLOB, age CLOB, ethnicity CLOB, hospitalid NUMBER, wardid NUMBER, admissionheight NUMBER, admissionweight NUMBER, dischargeweight NUMBER, hospitaladmittime TIME, hospitaladmitsource CLOB, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus CLOB)
CREATE TABLE cost (costid NUMBER, uniquepid CLOB, patienthealthsystemstayid NUMBER, eventtype CLOB, eventid NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE medication (medicationid NUMBER, patientunitstayid NUMBER, drugname CLOB, dosage CLOB, routeadmin CLOB, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE intakeoutput (intakeoutputid NUMBER, patientunitstayid NUMBER, cellpath CLOB, celllabel CLOB, cellvaluenumeric NUMBER, intakeoutputtime TIME)
CREATE TABLE lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime TIME)
CREATE TABLE allergy (allergyid NUMBER, patientunitstayid NUMBER, drugname CLOB, allergyname CLOB, allergytime TIME)
| how much does it cost for creatinine lab tests? | SELECT DISTINCT cost.cost FROM cost WHERE cost.eventtype = 'lab' AND cost.eventid IN (SELECT lab.labid FROM lab WHERE lab.labname = 'creatinine') | WITH "_u_0" AS (SELECT "lab"."labid" FROM "lab" WHERE "lab"."labname" = 'creatinine' GROUP BY "labid") SELECT DISTINCT "cost"."cost" FROM "cost" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "cost"."eventid" WHERE "cost"."eventtype" = 'lab' AND NOT "_u_0"."" IS NULL | 0.25293 |
CREATE TABLE table_3226 ("Pick #" FLOAT, "CFL Team" CLOB, "Player" CLOB, "Position" CLOB, "College" CLOB)
| What player was the number 1 draft pick? | SELECT "Player" FROM table_3226 WHERE "Pick #" = '1' | SELECT "Player" FROM "table_3226" WHERE "Pick #" = '1' | 0.052734 |
CREATE TABLE table_63774 ("Game" CLOB, "Date" CLOB, "Opponent" CLOB, "Score" CLOB, "Location Attendance" CLOB, "Record" CLOB)
| When did the team have a 10-8 record? | SELECT "Date" FROM table_63774 WHERE "Record" = '10-8' | SELECT "Date" FROM "table_63774" WHERE "Record" = '10-8' | 0.054688 |
CREATE TABLE table_name_44 (reg_gp VARCHAR2, pick__number VARCHAR2, rd__number VARCHAR2, player VARCHAR2)
| What is the total reg gp of Ilya Krikunov, who has a round of 7 and a pick number larger than 223? | SELECT COUNT(reg_gp) FROM table_name_44 WHERE rd__number = 7 AND player = "ilya krikunov" AND pick__number > 223 | SELECT COUNT("reg_gp") FROM "table_name_44" WHERE "ilya krikunov" = "player" AND "pick__number" > 223 AND "rd__number" = 7 | 0.119141 |
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
| give me the number of patients whose death status is 0 and diagnoses long title is other second degree atrioventricular block? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.expire_flag = "0" AND diagnoses.long_title = "Other second degree atrioventricular block" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "Other second degree atrioventricular block" = "diagnoses"."long_title" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" WHERE "0" = "demographic"."expire_flag" | 0.246094 |
CREATE TABLE table_10335_1 (estimated_deaths VARCHAR2, operational VARCHAR2)
| what's the estimated deaths with operational period of 17 march 1942 end of june 1943 | SELECT estimated_deaths FROM table_10335_1 WHERE operational = "17 March 1942 – end of June 1943" | SELECT "estimated_deaths" FROM "table_10335_1" WHERE "17 March 1942 – end of June 1943" = "operational" | 0.100586 |
CREATE TABLE table_204_979 (id NUMBER, "place" NUMBER, "nation" CLOB, "5 hoops" CLOB, "3 balls , \ 2 ribbons" CLOB, "total" NUMBER)
| other than spain , name a country that beat russia overall . | SELECT "nation" FROM table_204_979 WHERE "nation" <> 'spain' AND "total" > (SELECT "total" FROM table_204_979 WHERE "nation" = 'russia') | SELECT "nation" FROM "table_204_979" WHERE "nation" <> 'spain' AND "total" > (SELECT "total" FROM "table_204_979" WHERE "nation" = 'russia') | 0.136719 |
CREATE TABLE table_13001 ("Played" FLOAT, "Drawn" FLOAT, "Lost" FLOAT, "Against" FLOAT, "% Won" FLOAT)
| What Played has a Lost smaller than 3, and a Drawn smaller than 0? | SELECT AVG("Played") FROM table_13001 WHERE "Lost" < '3' AND "Drawn" < '0' | SELECT AVG("Played") FROM "table_13001" WHERE "Drawn" < '0' AND "Lost" < '3' | 0.074219 |
CREATE TABLE table_79137 ("Date" CLOB, "Result" CLOB, "Score" CLOB, "Opponent" CLOB, "Record" CLOB, "Attendance" CLOB)
| What record has w as the result, with January 2 as the date? | SELECT "Record" FROM table_79137 WHERE "Result" = 'w' AND "Date" = 'january 2' | SELECT "Record" FROM "table_79137" WHERE "Date" = 'january 2' AND "Result" = 'w' | 0.078125 |
CREATE TABLE table_name_17 (points VARCHAR2, driver VARCHAR2)
| How many points does driver kosuke matsuura have? | SELECT points FROM table_name_17 WHERE driver = "kosuke matsuura" | SELECT "points" FROM "table_name_17" WHERE "driver" = "kosuke matsuura" | 0.069336 |
CREATE TABLE table_15624586_2 (deficit___surplus_ VARCHAR2, _percentage_of_world_demand VARCHAR2)
| What is the deficit (-surplus) of the country who use 5.2% of the world demand of uranium? | SELECT deficit___surplus_ FROM table_15624586_2 WHERE _percentage_of_world_demand = "5.2%" | SELECT "deficit___surplus_" FROM "table_15624586_2" WHERE "5.2%" = "_percentage_of_world_demand" | 0.09375 |
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
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)
| how many patients whose primary disease is acidosis and lab test category is blood gas? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.diagnosis = "ACIDOSIS" AND lab."CATEGORY" = "Blood Gas" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "lab" ON "Blood Gas" = "lab"."CATEGORY" AND "demographic"."hadm_id" = "lab"."hadm_id" WHERE "ACIDOSIS" = "demographic"."diagnosis" | 0.199219 |
CREATE TABLE table_12976038_1 (episode__number VARCHAR2, viewers__in_millions_ VARCHAR2)
| What number episode had 5.74 million viewers? | SELECT episode__number FROM table_12976038_1 WHERE viewers__in_millions_ = "5.74" | SELECT "episode__number" FROM "table_12976038_1" WHERE "5.74" = "viewers__in_millions_" | 0.084961 |
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