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CREATE TABLE CloseAsOffTopicReasonTypes (Id NUMBER, IsUniversal BOOLEAN, InputTitle CLOB, MarkdownInputGuidance CLOB, MarkdownPostOwnerGuidance CLOB, MarkdownPrivilegedUserGuidance CLOB, MarkdownConcensusDescription CLOB, CreationDate TIME, CreationModeratorId NUMBER, ApprovalDate TIME, ApprovalModeratorId NUMBER, DeactivationDate TIME, DeactivationModeratorId NUMBER)
CREATE TABLE PostTypes (Id NUMBER, Name CLOB)
CREATE TABLE Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
CREATE TABLE VoteTypes (Id NUMBER, Name CLOB)
CREATE TABLE PostHistory (Id NUMBER, PostHistoryTypeId NUMBER, PostId NUMBER, RevisionGUID other, CreationDate TIME, UserId NUMBER, UserDisplayName CLOB, Comment CLOB, Text CLOB, ContentLicense CLOB)
CREATE TABLE SuggestedEdits (Id NUMBER, PostId NUMBER, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId NUMBER, Comment CLOB, Text CLOB, Title CLOB, Tags CLOB, RevisionGUID other)
CREATE TABLE PostsWithDeleted (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE 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 Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount NUMBER)
CREATE TABLE PostTags (PostId NUMBER, TagId NUMBER)
CREATE TABLE ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
CREATE TABLE Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
CREATE TABLE PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
CREATE TABLE ReviewTaskResultTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId NUMBER)
CREATE TABLE PendingFlags (Id NUMBER, FlagTypeId NUMBER, PostId NUMBER, CreationDate TIME, CloseReasonTypeId NUMBER, CloseAsOffTopicReasonTypeId NUMBER, DuplicateOfQuestionId NUMBER, BelongsOnBaseHostAddress CLOB)
CREATE TABLE TagSynonyms (Id NUMBER, SourceTagName CLOB, TargetTagName CLOB, CreationDate TIME, OwnerUserId NUMBER, AutoRenameCount NUMBER, LastAutoRename TIME, Score NUMBER, ApprovedByUserId NUMBER, ApprovalDate TIME)
CREATE TABLE ReviewTaskStates (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE 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 ReviewTaskTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
CREATE TABLE PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId NUMBER)
CREATE TABLE CloseReasonTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId NUMBER)
CREATE TABLE FlagTypes (Id NUMBER, Name CLOB, Description 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 ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment CLOB)
| Extract tags from answered posts. | SELECT Posts.Id AS "post_id", Posts.CreationDate AS "creationdate", Posts.Tags AS "tags" FROM Posts WHERE CreationDate > DATEADD(year, -1, GETDATE()) AND NOT ClosedDate IS NULL AND NOT Tags IS NULL ORDER BY CreationDate DESC | SELECT "Posts"."Id" AS "post_id", "Posts"."CreationDate" AS "creationdate", "Posts"."Tags" AS "tags" FROM "Posts" WHERE "CreationDate" > DATEADD("year", -1, GETDATE()) AND NOT "ClosedDate" IS NULL AND NOT "Tags" IS NULL ORDER BY "CreationDate" DESC | 0.242188 |
CREATE TABLE table_43909 ("Rank" FLOAT, "Company" CLOB, "Headquarters" CLOB, "Industry" CLOB, "Sales ( billion $ ) " FLOAT, "Profits ( billion $ ) " FLOAT, "Assets ( billion $ ) " FLOAT, "Market Value ( billion $ ) " FLOAT)
| What is the average market value in billions of the company with less than 1,705.35 billions in assets, sales of 175.05 billions, and is ranked less than 19? | SELECT AVG("Market Value (billion $)") FROM table_43909 WHERE "Assets (billion $)" < '1,705.35' AND "Sales (billion $)" = '175.05' AND "Rank" < '19' | SELECT AVG("Market Value (billion $)") FROM "table_43909" WHERE "Assets (billion $)" < '1,705.35' AND "Rank" < '19' AND "Sales (billion $)" = '175.05' | 0.146484 |
CREATE TABLE table_27973624_1 (prize_money VARCHAR2, clubs VARCHAR2)
| What is the prize money when the clubs is 392 276? | SELECT prize_money FROM table_27973624_1 WHERE clubs = "392 → 276" | SELECT "prize_money" FROM "table_27973624_1" WHERE "392 → 276" = "clubs" | 0.070313 |
CREATE TABLE table_36216 ("Series Ep." CLOB, "Episode" FLOAT, "Netflix" CLOB, "Segment A" CLOB, "Segment B" CLOB, "Segment C" CLOB, "Segment D" CLOB)
| Which series episode has a netflix figure of s04e21? | SELECT "Series Ep." FROM table_36216 WHERE "Netflix" = 's04e21' | SELECT "Series Ep." FROM "table_36216" WHERE "Netflix" = 's04e21' | 0.063477 |
CREATE TABLE table_16661199_2 (giants_points VARCHAR2, opponents VARCHAR2)
| Name the number of giants points for opponents being 31 | SELECT COUNT(giants_points) FROM table_16661199_2 WHERE opponents = 31 | SELECT COUNT("giants_points") FROM "table_16661199_2" WHERE "opponents" = 31 | 0.074219 |
CREATE TABLE company (headquarters VARCHAR2, main_industry VARCHAR2)
| Show all headquarters with both a company in banking industry and a company in Oil and gas. | SELECT headquarters FROM company WHERE main_industry = 'Banking' INTERSECT SELECT headquarters FROM company WHERE main_industry = 'Oil and gas' | SELECT "headquarters" FROM "company" WHERE "main_industry" = 'Banking' INTERSECT SELECT "headquarters" FROM "company" WHERE "main_industry" = 'Oil and gas' | 0.151367 |
CREATE TABLE table_name_56 (venue VARCHAR2, away_team VARCHAR2)
| Hawthorn played as an Away team in which venue? | SELECT venue FROM table_name_56 WHERE away_team = "hawthorn" | SELECT "venue" FROM "table_name_56" WHERE "away_team" = "hawthorn" | 0.064453 |
CREATE TABLE table_42391 ("Team" CLOB, "Match" FLOAT, "Points" FLOAT, "Draw" FLOAT, "Lost" FLOAT)
| What is the largest number lost with 0 draws and less than 12 points for Gwardia Katowice? | SELECT MAX("Lost") FROM table_42391 WHERE "Draw" = '0' AND "Team" = 'gwardia katowice' AND "Points" < '12' | SELECT MAX("Lost") FROM "table_42391" WHERE "Draw" = '0' AND "Points" < '12' AND "Team" = 'gwardia katowice' | 0.105469 |
CREATE TABLE table_47851 ("Week" FLOAT, "Date" CLOB, "Opponent" CLOB, "Result" CLOB, "Attendance" CLOB)
| What is Opponent, when Attendance is 62,170? | SELECT "Opponent" FROM table_47851 WHERE "Attendance" = '62,170' | SELECT "Opponent" FROM "table_47851" WHERE "Attendance" = '62,170' | 0.064453 |
CREATE TABLE table_40082 ("Round" FLOAT, "Location" CLOB, "Circuit" CLOB, "Date" CLOB, "Winning Driver" CLOB, "Winning Team" CLOB)
| Which date has a round more than 9? | SELECT "Date" FROM table_40082 WHERE "Round" > '9' | SELECT "Date" FROM "table_40082" WHERE "Round" > '9' | 0.050781 |
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)
| how many patients are admitted before the year 2176 and used the drug haloperidol? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.admityear < "2176" AND prescriptions.drug = "Haloperidol" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "prescriptions" ON "Haloperidol" = "prescriptions"."drug" AND "demographic"."hadm_id" = "prescriptions"."hadm_id" WHERE "2176" > "demographic"."admityear" | 0.222656 |
CREATE TABLE table_1571238_2 (fourth_place NUMBER, team VARCHAR2)
| When the team is yale what is max amount of times they placed fourth? | SELECT MAX(fourth_place) FROM table_1571238_2 WHERE team = "Yale" | SELECT MAX("fourth_place") FROM "table_1571238_2" WHERE "Yale" = "team" | 0.069336 |
CREATE TABLE table_name_5 (home_team VARCHAR2, venue VARCHAR2)
| At the venue Vfl Park, what was the Home team score? | SELECT home_team AS score FROM table_name_5 WHERE venue = "vfl park" | SELECT "home_team" AS "score" FROM "table_name_5" WHERE "venue" = "vfl park" | 0.074219 |
CREATE TABLE table_75055 ("Rank" FLOAT, "Airport" CLOB, "Code ( IATA/ICAO ) " CLOB, "Total Cargo ( Metric Tonnes ) " FLOAT, "% Change" CLOB)
| What is the rank for ord/kord with more than 1,332,123 total cargo? | SELECT MIN("Rank") FROM table_75055 WHERE "Code (IATA/ICAO)" = 'ord/kord' AND "Total Cargo (Metric Tonnes)" > '1,332,123' | SELECT MIN("Rank") FROM "table_75055" WHERE "Code (IATA/ICAO)" = 'ord/kord' AND "Total Cargo (Metric Tonnes)" > '1,332,123' | 0.120117 |
CREATE TABLE table_name_66 (country VARCHAR2, rank NUMBER)
| What is the country is ranked more than 4? | SELECT country FROM table_name_66 WHERE rank > 4 | SELECT "country" FROM "table_name_66" WHERE "rank" > 4 | 0.052734 |
CREATE TABLE medication (medicationid NUMBER, patientunitstayid NUMBER, drugname CLOB, dosage CLOB, routeadmin CLOB, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE allergy (allergyid NUMBER, patientunitstayid NUMBER, drugname CLOB, allergyname CLOB, allergytime TIME)
CREATE TABLE patient (uniquepid CLOB, patienthealthsystemstayid NUMBER, patientunitstayid NUMBER, gender CLOB, age CLOB, ethnicity CLOB, hospitalid NUMBER, wardid NUMBER, admissionheight NUMBER, admissionweight NUMBER, dischargeweight NUMBER, hospitaladmittime TIME, hospitaladmitsource CLOB, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus CLOB)
CREATE TABLE diagnosis (diagnosisid NUMBER, patientunitstayid NUMBER, diagnosisname CLOB, diagnosistime TIME, icd9code CLOB)
CREATE TABLE vitalperiodic (vitalperiodicid NUMBER, patientunitstayid NUMBER, temperature NUMBER, sao2 NUMBER, heartrate NUMBER, respiration NUMBER, systemicsystolic NUMBER, systemicdiastolic NUMBER, systemicmean NUMBER, observationtime TIME)
CREATE TABLE treatment (treatmentid NUMBER, patientunitstayid NUMBER, treatmentname CLOB, treatmenttime TIME)
CREATE TABLE cost (costid NUMBER, uniquepid CLOB, patienthealthsystemstayid NUMBER, eventtype CLOB, eventid NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime TIME)
CREATE TABLE intakeoutput (intakeoutputid NUMBER, patientunitstayid NUMBER, cellpath CLOB, celllabel CLOB, cellvaluenumeric NUMBER, intakeoutputtime TIME)
CREATE TABLE microlab (microlabid NUMBER, patientunitstayid NUMBER, culturesite CLOB, organism CLOB, culturetakentime TIME)
| have patient 015-21757 been given a procedure since 4 years ago? | SELECT COUNT(*) > 0 FROM treatment WHERE treatment.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '015-21757')) AND DATETIME(treatment.treatmenttime) >= DATETIME(CURRENT_TIME(), '-4 year') | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '015-21757' GROUP BY "patienthealthsystemstayid"), "_u_1" AS (SELECT "patient"."patientunitstayid" FROM "patient" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "patient"."patienthealthsystemstayid" WHERE NOT "_u_0"."" IS NULL GROUP BY "patientunitstayid") SELECT COUNT(*) > 0 FROM "treatment" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "treatment"."patientunitstayid" WHERE DATETIME("treatment"."treatmenttime") >= DATETIME(CURRENT_TIME(), '-4 year') AND NOT "_u_1"."" IS NULL | 0.557617 |
CREATE TABLE table_name_13 (event VARCHAR2, time VARCHAR2)
| What event has a 0:49 time? | SELECT event FROM table_name_13 WHERE time = "0:49" | SELECT "event" FROM "table_name_13" WHERE "0:49" = "time" | 0.055664 |
CREATE TABLE Behavior_Incident (incident_id NUMBER, incident_type_code VARCHAR2, student_id NUMBER, date_incident_start DATETIME, date_incident_end DATETIME, incident_summary VARCHAR2, recommendations VARCHAR2, other_details VARCHAR2)
CREATE TABLE Addresses (address_id NUMBER, line_1 VARCHAR2, line_2 VARCHAR2, line_3 VARCHAR2, city VARCHAR2, zip_postcode VARCHAR2, state_province_county VARCHAR2, country VARCHAR2, other_address_details VARCHAR2)
CREATE TABLE Students_in_Detention (student_id NUMBER, detention_id NUMBER, incident_id NUMBER)
CREATE TABLE Students (student_id NUMBER, address_id NUMBER, first_name VARCHAR2, middle_name VARCHAR2, last_name VARCHAR2, cell_mobile_number VARCHAR2, email_address VARCHAR2, date_first_rental DATETIME, date_left_university DATETIME, other_student_details VARCHAR2)
CREATE TABLE Detention (detention_id NUMBER, detention_type_code VARCHAR2, teacher_id NUMBER, datetime_detention_start DATETIME, datetime_detention_end DATETIME, detention_summary VARCHAR2, other_details VARCHAR2)
CREATE TABLE Ref_Detention_Type (detention_type_code VARCHAR2, detention_type_description VARCHAR2)
CREATE TABLE Ref_Address_Types (address_type_code VARCHAR2, address_type_description VARCHAR2)
CREATE TABLE Assessment_Notes (notes_id NUMBER, student_id NUMBER, teacher_id NUMBER, date_of_notes DATETIME, text_of_notes VARCHAR2, other_details VARCHAR2)
CREATE TABLE Student_Addresses (student_id NUMBER, address_id NUMBER, date_address_from DATETIME, date_address_to DATETIME, monthly_rental NUMBER, other_details VARCHAR2)
CREATE TABLE Ref_Incident_Type (incident_type_code VARCHAR2, incident_type_description VARCHAR2)
CREATE TABLE Teachers (teacher_id NUMBER, address_id NUMBER, first_name VARCHAR2, middle_name VARCHAR2, last_name VARCHAR2, gender VARCHAR2, cell_mobile_number VARCHAR2, email_address VARCHAR2, other_details VARCHAR2)
| Give me the comparison about the sum of monthly_rental over the date_address_from bin date_address_from by time. | SELECT date_address_from, SUM(monthly_rental) FROM Student_Addresses ORDER BY monthly_rental DESC | SELECT "date_address_from", SUM("monthly_rental") FROM "Student_Addresses" ORDER BY "monthly_rental" DESC | 0.102539 |
CREATE TABLE table_name_45 (tie_no NUMBER, home_team VARCHAR2, date VARCHAR2)
| What was the highest Tie no when the home team was the Bolton Wanderers, and the date was Middlesbrough? | SELECT MAX(tie_no) FROM table_name_45 WHERE home_team = "bolton wanderers" AND date = "middlesbrough" | SELECT MAX("tie_no") FROM "table_name_45" WHERE "bolton wanderers" = "home_team" AND "date" = "middlesbrough" | 0.106445 |
CREATE TABLE table_23303 ("English Name" CLOB, "Chinese Name ( Simplified / Traditional ) " CLOB, "Pinyin" CLOB, "Population" FLOAT, "Post Code" FLOAT)
| What's the post code of the county with the Chinese name / ? | SELECT MIN("Post Code") FROM table_23303 WHERE "Chinese Name (Simplified / Traditional)" = '潜山县 / 潛山縣' | SELECT MIN("Post Code") FROM "table_23303" WHERE "Chinese Name (Simplified / Traditional)" = '潜山县 / 潛山縣' | 0.101563 |
CREATE TABLE table_name_3 (males VARCHAR2, language VARCHAR2)
| How many males speak Russian? | SELECT males FROM table_name_3 WHERE language = "russian" | SELECT "males" FROM "table_name_3" WHERE "language" = "russian" | 0.061523 |
CREATE TABLE table_7135 ("Week" FLOAT, "Date" CLOB, "Opponent" CLOB, "Result" CLOB, "Attendance" FLOAT)
| What's the average Week with the Result l 23 3? | SELECT AVG("Week") FROM table_7135 WHERE "Result" = 'l 23–3' | SELECT AVG("Week") FROM "table_7135" WHERE "Result" = 'l 23–3' | 0.060547 |
CREATE TABLE Movie (mID NUMBER, title CLOB, year NUMBER, director CLOB)
CREATE TABLE Rating (rID NUMBER, mID NUMBER, stars NUMBER, ratingDate DATE)
CREATE TABLE Reviewer (rID NUMBER, name CLOB)
| A bar chart for what are the number of the titles of all movies that have between 3 and 5 stars? | SELECT title, COUNT(title) FROM Rating AS T1 JOIN Movie AS T2 ON T1.mID = T2.mID WHERE T1.stars BETWEEN 3 AND 5 GROUP BY title | SELECT "title", COUNT("title") FROM "Rating" "T1" JOIN "Movie" "T2" ON "T1"."mID" = "T2"."mID" WHERE "T1"."stars" <= 5 AND "T1"."stars" >= 3 GROUP BY "title" | 0.15332 |
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 lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
| give me the number of patients admitted in emergency who had the procedure titled endoscopic sphincterotomy and papillotomy. | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.admission_type = "EMERGENCY" AND procedures.long_title = "Endoscopic sphincterotomy and papillotomy" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "procedures" ON "Endoscopic sphincterotomy and papillotomy" = "procedures"."long_title" AND "demographic"."hadm_id" = "procedures"."hadm_id" WHERE "EMERGENCY" = "demographic"."admission_type" | 0.258789 |
CREATE TABLE table_203_274 (id NUMBER, "church name" CLOB, "address" CLOB, "community" CLOB, "school" CLOB)
| which church is listed below christ the king ? | SELECT "church name" FROM table_203_274 WHERE id = (SELECT id FROM table_203_274 WHERE "church name" = 'christ the king') + 1 | SELECT "church name" FROM "table_203_274" WHERE "id" = (SELECT "id" FROM "table_203_274" WHERE "church name" = 'christ the king') + 1 | 0.129883 |
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 PostHistory (Id NUMBER, PostHistoryTypeId NUMBER, PostId NUMBER, RevisionGUID other, CreationDate TIME, UserId NUMBER, UserDisplayName CLOB, Comment CLOB, Text CLOB, ContentLicense CLOB)
CREATE TABLE PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
CREATE TABLE VoteTypes (Id NUMBER, Name 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 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 PostsWithDeleted (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
CREATE TABLE Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
CREATE TABLE PendingFlags (Id NUMBER, FlagTypeId NUMBER, PostId NUMBER, CreationDate TIME, CloseReasonTypeId NUMBER, CloseAsOffTopicReasonTypeId NUMBER, DuplicateOfQuestionId NUMBER, BelongsOnBaseHostAddress CLOB)
CREATE TABLE Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount NUMBER)
CREATE TABLE ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId NUMBER)
CREATE TABLE TagSynonyms (Id NUMBER, SourceTagName CLOB, TargetTagName CLOB, CreationDate TIME, OwnerUserId NUMBER, AutoRenameCount NUMBER, LastAutoRename TIME, Score NUMBER, ApprovedByUserId NUMBER, ApprovalDate TIME)
CREATE TABLE PostHistoryTypes (Id NUMBER, Name CLOB)
CREATE TABLE PostTypes (Id NUMBER, Name CLOB)
CREATE TABLE PostTags (PostId NUMBER, TagId NUMBER)
CREATE TABLE ReviewTaskTypes (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 ReviewTaskStates (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE CloseReasonTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
CREATE TABLE SuggestedEditVotes (Id NUMBER, SuggestedEditId NUMBER, UserId NUMBER, VoteTypeId NUMBER, CreationDate TIME, TargetUserId NUMBER, TargetRepChange NUMBER)
CREATE TABLE Users (Id NUMBER, Reputation NUMBER, CreationDate TIME, DisplayName CLOB, LastAccessDate TIME, WebsiteUrl CLOB, Location CLOB, AboutMe CLOB, Views NUMBER, UpVotes NUMBER, DownVotes NUMBER, ProfileImageUrl CLOB, EmailHash CLOB, AccountId NUMBER)
CREATE TABLE Comments (Id NUMBER, PostId NUMBER, Score NUMBER, Text CLOB, CreationDate TIME, UserDisplayName CLOB, UserId NUMBER, ContentLicense CLOB)
CREATE TABLE ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
CREATE TABLE FlagTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE SuggestedEdits (Id NUMBER, PostId NUMBER, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId NUMBER, Comment CLOB, Text CLOB, Title CLOB, Tags CLOB, RevisionGUID other)
CREATE TABLE ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment CLOB)
| Detect posts misusing backticks for programming languages. | SELECT Id AS "post_link" FROM Posts WHERE Posts.Id > '##StartID:int?1##' AND Posts.Id < '##EndID:int?1000000##' AND (Body LIKE '%<code>PHP</code>%' OR Body LIKE '%<code>javascript</code>%' OR Body LIKE '%<code>C#</code>%' OR Body LIKE '%<code>python</code>%' OR Body LIKE '%<code>java</code>%' OR Body LIKE '%<code>C</code>%' OR Body LIKE '%<code>C++</code>%' OR Body LIKE '%<code>Android</code>%') ORDER BY Id | SELECT "Id" AS "post_link" FROM "Posts" WHERE FALSE ORDER BY "Id" | 0.063477 |
CREATE TABLE labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE prescriptions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, startdate TIME, enddate TIME, drug CLOB, dose_val_rx CLOB, dose_unit_rx CLOB, route CLOB)
CREATE TABLE d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
CREATE TABLE d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE transfers (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, eventtype CLOB, careunit CLOB, wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
CREATE TABLE inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
CREATE TABLE diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE icustays (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, first_careunit CLOB, last_careunit CLOB, first_wardid NUMBER, last_wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
CREATE TABLE patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
CREATE TABLE d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
CREATE TABLE admissions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, admittime TIME, dischtime TIME, admission_type CLOB, admission_location CLOB, discharge_location CLOB, insurance CLOB, language CLOB, marital_status CLOB, ethnicity CLOB, age NUMBER)
| how many days has it been since the last time patient 7112 stayed during the current hospital encounter in careunit micu? | SELECT 1 * (STRFTIME('%j', CURRENT_TIME()) - STRFTIME('%j', transfers.intime)) FROM transfers WHERE transfers.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 7112 AND admissions.dischtime IS NULL) AND transfers.careunit = 'micu' ORDER BY transfers.intime DESC LIMIT 1 | WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."dischtime" IS NULL AND "admissions"."subject_id" = 7112 GROUP BY "hadm_id") SELECT 1 * (STRFTIME('%j', CURRENT_TIME()) - STRFTIME('%j', "transfers"."intime")) FROM "transfers" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "transfers"."hadm_id" WHERE "transfers"."careunit" = 'micu' AND NOT "_u_0"."" IS NULL ORDER BY "transfers"."intime" DESC FETCH FIRST 1 ROWS ONLY | 0.432617 |
CREATE TABLE table_name_62 (loss VARCHAR2, attendance VARCHAR2)
| What was the loss of the game attended by 14,691? | SELECT loss FROM table_name_62 WHERE attendance = "14,691" | SELECT "loss" FROM "table_name_62" WHERE "14,691" = "attendance" | 0.0625 |
CREATE TABLE table_23508196_2 (tot_officers VARCHAR2, tot_enlisted VARCHAR2)
| How many tot officers were there on the date when the number of tot enlisted was 329640? | SELECT tot_officers FROM table_23508196_2 WHERE tot_enlisted = 329640 | SELECT "tot_officers" FROM "table_23508196_2" WHERE "tot_enlisted" = 329640 | 0.073242 |
CREATE TABLE VoteTypes (Id NUMBER, Name CLOB)
CREATE TABLE ReviewTaskStates (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostTags (PostId NUMBER, TagId NUMBER)
CREATE TABLE Users (Id NUMBER, Reputation NUMBER, CreationDate TIME, DisplayName CLOB, LastAccessDate TIME, WebsiteUrl CLOB, Location CLOB, AboutMe CLOB, Views NUMBER, UpVotes NUMBER, DownVotes NUMBER, ProfileImageUrl CLOB, EmailHash CLOB, AccountId NUMBER)
CREATE TABLE ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
CREATE TABLE SuggestedEditVotes (Id NUMBER, SuggestedEditId NUMBER, UserId NUMBER, VoteTypeId NUMBER, CreationDate TIME, TargetUserId NUMBER, TargetRepChange 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 Posts (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
CREATE TABLE PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
CREATE TABLE PostHistoryTypes (Id NUMBER, Name CLOB)
CREATE TABLE ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId NUMBER)
CREATE TABLE Comments (Id NUMBER, PostId NUMBER, Score NUMBER, Text CLOB, CreationDate TIME, UserDisplayName CLOB, UserId NUMBER, ContentLicense CLOB)
CREATE TABLE PendingFlags (Id NUMBER, FlagTypeId NUMBER, PostId NUMBER, CreationDate TIME, CloseReasonTypeId NUMBER, CloseAsOffTopicReasonTypeId NUMBER, DuplicateOfQuestionId NUMBER, BelongsOnBaseHostAddress 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 Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
CREATE TABLE ReviewTaskTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount NUMBER)
CREATE TABLE FlagTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment CLOB)
CREATE TABLE PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId NUMBER)
CREATE TABLE TagSynonyms (Id NUMBER, SourceTagName CLOB, TargetTagName CLOB, CreationDate TIME, OwnerUserId NUMBER, AutoRenameCount NUMBER, LastAutoRename TIME, Score NUMBER, ApprovedByUserId NUMBER, ApprovalDate TIME)
CREATE TABLE PostTypes (Id NUMBER, Name CLOB)
CREATE TABLE CloseReasonTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
CREATE TABLE PostsWithDeleted (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE ReviewTaskResultTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE CloseAsOffTopicReasonTypes (Id NUMBER, IsUniversal BOOLEAN, InputTitle CLOB, MarkdownInputGuidance CLOB, MarkdownPostOwnerGuidance CLOB, MarkdownPrivilegedUserGuidance CLOB, MarkdownConcensusDescription CLOB, CreationDate TIME, CreationModeratorId NUMBER, ApprovalDate TIME, ApprovalModeratorId NUMBER, DeactivationDate TIME, DeactivationModeratorId NUMBER)
CREATE TABLE PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId NUMBER)
| Count number of total answers by tag name. | SELECT COUNT(question.Id) FROM Posts AS question INNER JOIN Posts AS answer ON question.Id = answer.ParentId AND question.Tags LIKE '%##TagName1##%' | SELECT COUNT("question"."Id") FROM "Posts" "question" JOIN "Posts" "answer" ON "answer"."ParentId" = "question"."Id" AND "question"."Tags" LIKE '%##TagName1##%' | 0.15625 |
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 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)
| count the number of patients whose insurance is government and procedure long title is laryngoscopy and other tracheoscopy? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.insurance = "Government" AND procedures.long_title = "Laryngoscopy and other tracheoscopy" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "procedures" ON "Laryngoscopy and other tracheoscopy" = "procedures"."long_title" AND "demographic"."hadm_id" = "procedures"."hadm_id" WHERE "Government" = "demographic"."insurance" | 0.249023 |
CREATE TABLE table_name_6 (time VARCHAR2, opponent VARCHAR2)
| What is shintaro ishiwatari's time? | SELECT time FROM table_name_6 WHERE opponent = "shintaro ishiwatari" | SELECT "time" FROM "table_name_6" WHERE "opponent" = "shintaro ishiwatari" | 0.072266 |
CREATE TABLE table_name_58 (storm VARCHAR2, dance VARCHAR2, clash VARCHAR2)
| Which storm has a clash of 3 and a dance of 4? | SELECT storm FROM table_name_58 WHERE dance = "4" AND clash = "3" | SELECT "storm" FROM "table_name_58" WHERE "3" = "clash" AND "4" = "dance" | 0.071289 |
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)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
| how many patients are with death status 0 and with diagnosis chronic diastolic heart failure? | 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 = "Chronic diastolic heart failure" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "Chronic diastolic heart failure" = "diagnoses"."long_title" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" WHERE "0" = "demographic"."expire_flag" | 0.235352 |
CREATE TABLE table_60792 ("Player" CLOB, "Country" CLOB, "Year ( s ) won" CLOB, "Total" FLOAT, "To par" CLOB, "Finish" CLOB)
| What year did the player with a t3 finish win? | SELECT "Year(s) won" FROM table_60792 WHERE "Finish" = 't3' | SELECT "Year(s) won" FROM "table_60792" WHERE "Finish" = 't3' | 0.05957 |
CREATE TABLE table_48651 ("Place" CLOB, "Player" CLOB, "Country" CLOB, "Score" CLOB, "To par" CLOB, "Money ( $ ) " FLOAT)
| What is the total amount of money that the United States one with a To par of 2? | SELECT COUNT("Money ( $ )") FROM table_48651 WHERE "Country" = 'united states' AND "To par" = '–2' | SELECT COUNT("Money ( $ )") FROM "table_48651" WHERE "Country" = 'united states' AND "To par" = '–2' | 0.097656 |
CREATE TABLE table_33347 ("Translator Call Letters" CLOB, "B Mountain Channel" CLOB, "Laurel Mountain Channel" CLOB, "PSIP" CLOB, "Station Call Letters" CLOB, "Network Affiliation ID" CLOB, "Original Channel" CLOB, "Signal Quality" CLOB)
| What original channel is associated with B Mountain Channel 9? | SELECT "Original Channel" FROM table_33347 WHERE "B Mountain Channel" = '9' | SELECT "Original Channel" FROM "table_33347" WHERE "B Mountain Channel" = '9' | 0.075195 |
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 labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
CREATE TABLE admissions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, admittime TIME, dischtime TIME, admission_type CLOB, admission_location CLOB, discharge_location CLOB, insurance CLOB, language CLOB, marital_status CLOB, ethnicity CLOB, age NUMBER)
CREATE TABLE prescriptions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, startdate TIME, enddate TIME, drug CLOB, dose_val_rx CLOB, dose_unit_rx CLOB, route CLOB)
CREATE TABLE d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
CREATE TABLE inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
CREATE TABLE d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
CREATE TABLE outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
CREATE TABLE diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE transfers (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, eventtype CLOB, careunit CLOB, wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
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)
| what was the name of the procedure that was given two times to patient 51200 a month before? | SELECT d_icd_procedures.short_title FROM d_icd_procedures WHERE d_icd_procedures.icd9_code IN (SELECT t1.icd9_code FROM (SELECT procedures_icd.icd9_code, COUNT(procedures_icd.charttime) AS c1 FROM procedures_icd WHERE procedures_icd.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 51200) AND DATETIME(procedures_icd.charttime, 'start of month') = DATETIME(CURRENT_TIME(), 'start of month', '-1 month') GROUP BY procedures_icd.icd9_code) AS t1 WHERE t1.c1 = 2) | WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 51200 GROUP BY "hadm_id"), "t1" AS (SELECT "procedures_icd"."icd9_code", COUNT("procedures_icd"."charttime") AS "c1" FROM "procedures_icd" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "procedures_icd"."hadm_id" WHERE DATETIME("procedures_icd"."charttime", 'start of month') = DATETIME(CURRENT_TIME(), 'start of month', '-1 month') AND NOT "_u_0"."" IS NULL GROUP BY "procedures_icd"."icd9_code"), "_u_1" AS (SELECT "t1"."icd9_code" FROM "t1" "t1" WHERE "t1"."c1" = 2 GROUP BY "icd9_code") SELECT "d_icd_procedures"."short_title" FROM "d_icd_procedures" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "d_icd_procedures"."icd9_code" WHERE NOT "_u_1"."" IS NULL | 0.724609 |
CREATE TABLE table_49509 ("Position" FLOAT, "Name" CLOB, "Played" FLOAT, "Drawn" FLOAT, "Lost" FLOAT, "Points" FLOAT)
| What was the average amount of losses for teams with played less than 14? | SELECT AVG("Lost") FROM table_49509 WHERE "Played" < '14' | SELECT AVG("Lost") FROM "table_49509" WHERE "Played" < '14' | 0.057617 |
CREATE TABLE table_name_94 (pos NUMBER, driver VARCHAR2)
| What is the lowest position for driver Kyle Busch? | SELECT MIN(pos) FROM table_name_94 WHERE driver = "kyle busch" | SELECT MIN("pos") FROM "table_name_94" WHERE "driver" = "kyle busch" | 0.066406 |
CREATE TABLE Enrolled_in (StuID NUMBER, CID VARCHAR2, Grade VARCHAR2)
CREATE TABLE Faculty (FacID NUMBER, Lname VARCHAR2, Fname VARCHAR2, Rank VARCHAR2, Sex VARCHAR2, Phone NUMBER, Room VARCHAR2, Building VARCHAR2)
CREATE TABLE Student (StuID NUMBER, LName VARCHAR2, Fname VARCHAR2, Age NUMBER, Sex VARCHAR2, Major NUMBER, Advisor NUMBER, city_code VARCHAR2)
CREATE TABLE Member_of (FacID NUMBER, DNO NUMBER, Appt_Type VARCHAR2)
CREATE TABLE Course (CID VARCHAR2, CName VARCHAR2, Credits NUMBER, Instructor NUMBER, Days VARCHAR2, Hours VARCHAR2, DNO NUMBER)
CREATE TABLE Gradeconversion (lettergrade VARCHAR2, gradepoint FLOAT)
CREATE TABLE Department (DNO NUMBER, Division VARCHAR2, DName VARCHAR2, Room VARCHAR2, Building VARCHAR2, DPhone NUMBER)
CREATE TABLE Minor_in (StuID NUMBER, DNO NUMBER)
| Return a scatter chart about the correlation between CID and DNO . | SELECT CID, DNO FROM Course ORDER BY Credits | SELECT "CID", "DNO" FROM "Course" ORDER BY "Credits" | 0.050781 |
CREATE TABLE table_28719193_19 (city VARCHAR2, stadium VARCHAR2)
| What was the city whose stadium is Gerald J. Ford Stadium? | SELECT city FROM table_28719193_19 WHERE stadium = "Gerald J. Ford stadium" | SELECT "city" FROM "table_28719193_19" WHERE "Gerald J. Ford stadium" = "stadium" | 0.079102 |
CREATE TABLE table_name_7 (language VARCHAR2, launch VARCHAR2, hanzi VARCHAR2)
| Which language's launch was in 2006 when then hanzi was ? | SELECT language FROM table_name_7 WHERE launch = 2006 AND hanzi = "青海电视台藏语综合频道" | SELECT "language" FROM "table_name_7" WHERE "hanzi" = "青海电视台藏语综合频道" AND "launch" = 2006 | 0.084961 |
CREATE TABLE table_17505751_5 (league NUMBER, total VARCHAR2, copa_del_rey VARCHAR2)
| when the total is 8 and copa del rey is 0 what is the minimum league | SELECT MIN(league) FROM table_17505751_5 WHERE total = 8 AND copa_del_rey = 0 | SELECT MIN("league") FROM "table_17505751_5" WHERE "copa_del_rey" = 0 AND "total" = 8 | 0.083008 |
CREATE TABLE table_name_95 (entrant VARCHAR2, driver VARCHAR2, chassis VARCHAR2)
| Who was the entrant for Louis Chiron with a Chassis of T26C? | SELECT entrant FROM table_name_95 WHERE driver = "louis chiron" AND chassis = "t26c" | SELECT "entrant" FROM "table_name_95" WHERE "chassis" = "t26c" AND "driver" = "louis chiron" | 0.089844 |
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 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 treatment (treatmentid NUMBER, patientunitstayid NUMBER, treatmentname CLOB, treatmenttime TIME)
CREATE TABLE diagnosis (diagnosisid NUMBER, patientunitstayid NUMBER, diagnosisname CLOB, diagnosistime TIME, icd9code CLOB)
CREATE TABLE microlab (microlabid NUMBER, patientunitstayid NUMBER, culturesite CLOB, organism CLOB, culturetakentime TIME)
CREATE TABLE intakeoutput (intakeoutputid NUMBER, patientunitstayid NUMBER, cellpath CLOB, celllabel CLOB, cellvaluenumeric NUMBER, intakeoutputtime TIME)
CREATE TABLE allergy (allergyid NUMBER, patientunitstayid NUMBER, drugname CLOB, allergyname CLOB, allergytime TIME)
CREATE TABLE cost (costid NUMBER, uniquepid CLOB, patienthealthsystemstayid NUMBER, eventtype CLOB, eventid NUMBER, chargetime TIME, cost NUMBER)
| count the number of times patient 016-38131 in their current hospital encounter has been prescribed with propofol 10 mg/1 ml 100ml sdv inj. | SELECT COUNT(*) FROM medication WHERE medication.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '016-38131' AND patient.hospitaldischargetime IS NULL)) AND medication.drugname = 'propofol 10 mg/1 ml 100ml sdv inj' | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."hospitaldischargetime" IS NULL AND "patient"."uniquepid" = '016-38131' GROUP BY "patienthealthsystemstayid"), "_u_1" AS (SELECT "patient"."patientunitstayid" FROM "patient" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "patient"."patienthealthsystemstayid" WHERE NOT "_u_0"."" IS NULL GROUP BY "patientunitstayid") SELECT COUNT(*) FROM "medication" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "medication"."patientunitstayid" WHERE "medication"."drugname" = 'propofol 10 mg/1 ml 100ml sdv inj' AND NOT "_u_1"."" IS NULL | 0.585938 |
CREATE TABLE d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
CREATE TABLE prescriptions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, startdate TIME, enddate TIME, drug CLOB, dose_val_rx CLOB, dose_unit_rx CLOB, route CLOB)
CREATE TABLE icustays (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, first_careunit CLOB, last_careunit CLOB, first_wardid NUMBER, last_wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
CREATE TABLE diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE transfers (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, eventtype CLOB, careunit CLOB, wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
CREATE TABLE procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE admissions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, admittime TIME, dischtime TIME, admission_type CLOB, admission_location CLOB, discharge_location CLOB, insurance CLOB, language CLOB, marital_status CLOB, ethnicity CLOB, age NUMBER)
CREATE TABLE outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
CREATE TABLE chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
| how many hours have elapsed since the first time patient 92788 was prescribed gabapentin during their current hospital encounter. | SELECT 24 * (STRFTIME('%j', CURRENT_TIME()) - STRFTIME('%j', prescriptions.startdate)) FROM prescriptions WHERE prescriptions.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 92788 AND admissions.dischtime IS NULL) AND prescriptions.drug = 'gabapentin' ORDER BY prescriptions.startdate LIMIT 1 | WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."dischtime" IS NULL AND "admissions"."subject_id" = 92788 GROUP BY "hadm_id") SELECT 24 * (STRFTIME('%j', CURRENT_TIME()) - STRFTIME('%j', "prescriptions"."startdate")) FROM "prescriptions" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "prescriptions"."hadm_id" WHERE "prescriptions"."drug" = 'gabapentin' AND NOT "_u_0"."" IS NULL ORDER BY "prescriptions"."startdate" FETCH FIRST 1 ROWS ONLY | 0.457031 |
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 vitalperiodic (vitalperiodicid NUMBER, patientunitstayid NUMBER, temperature NUMBER, sao2 NUMBER, heartrate NUMBER, respiration NUMBER, systemicsystolic NUMBER, systemicdiastolic NUMBER, systemicmean NUMBER, observationtime TIME)
CREATE TABLE medication (medicationid NUMBER, patientunitstayid NUMBER, drugname CLOB, dosage CLOB, routeadmin CLOB, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE 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 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 diagnosis (diagnosisid NUMBER, patientunitstayid NUMBER, diagnosisname CLOB, diagnosistime TIME, icd9code CLOB)
CREATE TABLE intakeoutput (intakeoutputid NUMBER, patientunitstayid NUMBER, cellpath CLOB, celllabel CLOB, cellvaluenumeric NUMBER, intakeoutputtime TIME)
| count the number of people diagnosed with acute pyelonephritis. | SELECT COUNT(DISTINCT patient.uniquepid) FROM patient WHERE patient.patientunitstayid IN (SELECT diagnosis.patientunitstayid FROM diagnosis WHERE diagnosis.diagnosisname = 'acute pyelonephritis') | WITH "_u_0" AS (SELECT "diagnosis"."patientunitstayid" FROM "diagnosis" WHERE "diagnosis"."diagnosisname" = 'acute pyelonephritis' GROUP BY "patientunitstayid") SELECT COUNT(DISTINCT "patient"."uniquepid") FROM "patient" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "patient"."patientunitstayid" WHERE NOT "_u_0"."" IS NULL | 0.30957 |
CREATE TABLE table_46153 ("Game" CLOB, "Date" CLOB, "Opponent" CLOB, "Score" CLOB, "Location/Attendance" CLOB, "Record" CLOB)
| Who was the opponent in Game 44? | SELECT "Opponent" FROM table_46153 WHERE "Game" = '44' | SELECT "Opponent" FROM "table_46153" WHERE "Game" = '44' | 0.054688 |
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
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)
| Among patients aged below 20, how many of them stayed at the hospital for more than 20 days? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.age < "20" AND demographic.days_stay > "20" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "20" < "demographic"."days_stay" AND "20" > "demographic"."age" | 0.134766 |
CREATE TABLE PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId 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 PostTypes (Id NUMBER, Name CLOB)
CREATE TABLE Users (Id NUMBER, Reputation NUMBER, CreationDate TIME, DisplayName CLOB, LastAccessDate TIME, WebsiteUrl CLOB, Location CLOB, AboutMe CLOB, Views NUMBER, UpVotes NUMBER, DownVotes NUMBER, ProfileImageUrl CLOB, EmailHash CLOB, AccountId NUMBER)
CREATE TABLE PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
CREATE TABLE VoteTypes (Id NUMBER, Name CLOB)
CREATE TABLE PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId NUMBER)
CREATE TABLE ReviewTaskStates (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
CREATE TABLE PostsWithDeleted (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE Comments (Id NUMBER, PostId NUMBER, Score NUMBER, Text CLOB, CreationDate TIME, UserDisplayName CLOB, UserId NUMBER, ContentLicense CLOB)
CREATE TABLE PostHistory (Id NUMBER, PostHistoryTypeId NUMBER, PostId NUMBER, RevisionGUID other, CreationDate TIME, UserId NUMBER, UserDisplayName CLOB, Comment CLOB, Text CLOB, ContentLicense CLOB)
CREATE TABLE FlagTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId NUMBER)
CREATE TABLE Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount NUMBER)
CREATE TABLE PostHistoryTypes (Id NUMBER, Name CLOB)
CREATE TABLE PostTags (PostId NUMBER, TagId NUMBER)
CREATE TABLE SuggestedEdits (Id NUMBER, PostId NUMBER, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId NUMBER, Comment CLOB, Text CLOB, Title CLOB, Tags CLOB, RevisionGUID other)
CREATE TABLE PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
CREATE TABLE SuggestedEditVotes (Id NUMBER, SuggestedEditId NUMBER, UserId NUMBER, VoteTypeId NUMBER, CreationDate TIME, TargetUserId NUMBER, TargetRepChange NUMBER)
CREATE TABLE TagSynonyms (Id NUMBER, SourceTagName CLOB, TargetTagName CLOB, CreationDate TIME, OwnerUserId NUMBER, AutoRenameCount NUMBER, LastAutoRename TIME, Score NUMBER, ApprovedByUserId NUMBER, ApprovalDate TIME)
CREATE TABLE Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
CREATE TABLE ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment CLOB)
CREATE TABLE ReviewTaskTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
CREATE TABLE ReviewTaskResultTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PendingFlags (Id NUMBER, FlagTypeId NUMBER, PostId NUMBER, CreationDate TIME, CloseReasonTypeId NUMBER, CloseAsOffTopicReasonTypeId NUMBER, DuplicateOfQuestionId NUMBER, BelongsOnBaseHostAddress CLOB)
CREATE TABLE 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 CloseReasonTypes (Id NUMBER, Name CLOB, Description CLOB)
| users with my same first name who have twitter in their about me. | SELECT COUNT(*) FROM Users WHERE DisplayName LIKE 'Abby %' AND WebsiteUrl LIKE '%twitter%' | SELECT COUNT(*) FROM "Users" WHERE "DisplayName" LIKE 'Abby %' AND "WebsiteUrl" LIKE '%twitter%' | 0.09375 |
CREATE TABLE table_name_94 (week NUMBER, record VARCHAR2)
| What week that shows a game record of 0 1? | SELECT AVG(week) FROM table_name_94 WHERE record = "0–1" | SELECT AVG("week") FROM "table_name_94" WHERE "0–1" = "record" | 0.060547 |
CREATE TABLE table_38131 ("Date" CLOB, "City" CLOB, "Opponent" CLOB, "Results\\u00b9" CLOB, "Type of game" CLOB)
| On what Date were the Results 5:1? | SELECT "Date" FROM table_38131 WHERE "Results\u00b9" = '5:1' | SELECT "Date" FROM "table_38131" WHERE "Results\u00b9" = '5:1' | 0.060547 |
CREATE TABLE table_203_564 (id NUMBER, "hand" CLOB, "1 credit" NUMBER, "2 credits" NUMBER, "3 credits" NUMBER, "4 credits" NUMBER, "5 credits" NUMBER)
| is a 2 credit full house the same as a 5 credit three of a kind ? | SELECT (SELECT "2 credits" FROM table_203_564 WHERE "hand" = 'full house') = (SELECT "5 credits" FROM table_203_564 WHERE "hand" = 'three of a kind') | SELECT (SELECT "2 credits" FROM "table_203_564" WHERE "hand" = 'full house') = (SELECT "5 credits" FROM "table_203_564" WHERE "hand" = 'three of a kind') | 0.149414 |
CREATE TABLE table_74948 ("Week" FLOAT, "Date" CLOB, "Opponent" CLOB, "Result" CLOB, "Record" CLOB, "Game Site" CLOB, "TV Time" CLOB, "Attendance" CLOB)
| What's the Game SIte with an Opponent of San Diego Chargers? | SELECT "Game Site" FROM table_74948 WHERE "Opponent" = 'san diego chargers' | SELECT "Game Site" FROM "table_74948" WHERE "Opponent" = 'san diego chargers' | 0.075195 |
CREATE TABLE table_name_11 (winners VARCHAR2, year VARCHAR2)
| Who were the winners in 1998? | SELECT winners FROM table_name_11 WHERE year = 1998 | SELECT "winners" FROM "table_name_11" WHERE "year" = 1998 | 0.055664 |
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
| what is the number of unknown/not specified ethnic background who underwent procedure on two vessels? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.ethnicity = "UNKNOWN/NOT SPECIFIED" AND procedures.short_title = "Procedure-two vessels" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "procedures" ON "Procedure-two vessels" = "procedures"."short_title" AND "demographic"."hadm_id" = "procedures"."hadm_id" WHERE "UNKNOWN/NOT SPECIFIED" = "demographic"."ethnicity" | 0.24707 |
CREATE TABLE storm (Storm_ID NUMBER, Name CLOB, Dates_active CLOB, Max_speed NUMBER, Damage_millions_USD FLOAT, Number_Deaths NUMBER)
CREATE TABLE region (Region_id NUMBER, Region_code CLOB, Region_name CLOB)
CREATE TABLE affected_region (Region_id NUMBER, Storm_ID NUMBER, Number_city_affected FLOAT)
| Show the name for regions and the number of storms for each region, and I want to list by the y axis in asc. | SELECT Region_name, COUNT(*) FROM region AS T1 JOIN affected_region AS T2 ON T1.Region_id = T2.Region_id GROUP BY T1.Region_id ORDER BY COUNT(*) | SELECT "Region_name", COUNT(*) FROM "region" "T1" JOIN "affected_region" "T2" ON "T1"."Region_id" = "T2"."Region_id" GROUP BY "T1"."Region_id" ORDER BY COUNT(*) | 0.15625 |
CREATE TABLE table_51637 ("Athlete" CLOB, "Event" CLOB, "Semifinal" CLOB, "Final" CLOB, "Rank" CLOB)
| What final was ranked 4? | SELECT "Final" FROM table_51637 WHERE "Rank" = '4' | SELECT "Final" FROM "table_51637" WHERE "Rank" = '4' | 0.050781 |
CREATE TABLE table_name_43 (visitor VARCHAR2, decision VARCHAR2, date VARCHAR2)
| Who was the visiting team where the decision was Biron on October 4? | SELECT visitor FROM table_name_43 WHERE decision = "biron" AND date = "october 4" | SELECT "visitor" FROM "table_name_43" WHERE "biron" = "decision" AND "date" = "october 4" | 0.086914 |
CREATE TABLE table_29029 ("Season" FLOAT, "Series" CLOB, "Team Name" CLOB, "Races" FLOAT, "Poles" FLOAT, "Wins" FLOAT, "Podiums" FLOAT, "F/Laps" FLOAT, "Points" CLOB, "Final Placing" CLOB)
| When there were 30 races and the final placing was 13th, how many points were scored? | SELECT "Points" FROM table_29029 WHERE "Final Placing" = '13th' AND "Races" = '30' | SELECT "Points" FROM "table_29029" WHERE "Final Placing" = '13th' AND "Races" = '30' | 0.082031 |
CREATE TABLE table_name_11 (to_par VARCHAR2, score VARCHAR2)
| What is the to par for the score 72-69-68=209? | SELECT to_par FROM table_name_11 WHERE score = 72 - 69 - 68 = 209 | SELECT "to_par" FROM "table_name_11" WHERE "score" = FALSE | 0.056641 |
CREATE TABLE table_65349 ("Episode Number" CLOB, "Broadcast Date" CLOB, "Title" CLOB, "Written by" CLOB, "Viewership ( Millions ) " FLOAT)
| What is the broadcast date of the episode with 9.65 million viewers? | SELECT "Broadcast Date" FROM table_65349 WHERE "Viewership (Millions)" = '9.65' | SELECT "Broadcast Date" FROM "table_65349" WHERE "Viewership (Millions)" = '9.65' | 0.079102 |
CREATE TABLE table_29771 ("Game" FLOAT, "Date" CLOB, "Team" CLOB, "Score" CLOB, "High points" CLOB, "High rebounds" CLOB, "High assists" CLOB, "Location Attendance" CLOB, "Record" CLOB)
| what was the game number where the record was 46 24? | SELECT MIN("Game") FROM table_29771 WHERE "Record" = '46–24' | SELECT MIN("Game") FROM "table_29771" WHERE "Record" = '46–24' | 0.060547 |
CREATE TABLE table_name_72 (title VARCHAR2, songwriter_s_ VARCHAR2)
| Which Title has a Songwriter(s) of hadise a kg z, stefaan fernande, elio deepcore? | SELECT title FROM table_name_72 WHERE songwriter_s_ = "hadise açıkgöz, stefaan fernande, elio deepcore" | SELECT "title" FROM "table_name_72" WHERE "hadise açıkgöz, stefaan fernande, elio deepcore" = "songwriter_s_" | 0.106445 |
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 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 allergy (allergyid NUMBER, patientunitstayid NUMBER, drugname CLOB, allergyname CLOB, allergytime TIME)
CREATE TABLE medication (medicationid NUMBER, patientunitstayid NUMBER, drugname CLOB, dosage CLOB, routeadmin CLOB, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE patient (uniquepid CLOB, patienthealthsystemstayid NUMBER, patientunitstayid NUMBER, gender CLOB, age CLOB, ethnicity CLOB, hospitalid NUMBER, wardid NUMBER, admissionheight NUMBER, admissionweight NUMBER, dischargeweight NUMBER, hospitaladmittime TIME, hospitaladmitsource CLOB, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus CLOB)
CREATE TABLE microlab (microlabid NUMBER, patientunitstayid NUMBER, culturesite CLOB, organism CLOB, culturetakentime TIME)
CREATE TABLE lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime TIME)
CREATE TABLE vitalperiodic (vitalperiodicid NUMBER, patientunitstayid NUMBER, temperature NUMBER, sao2 NUMBER, heartrate NUMBER, respiration NUMBER, systemicsystolic NUMBER, systemicdiastolic NUMBER, systemicmean NUMBER, observationtime TIME)
| what are the four most frequent drugs prescribed for patients who were also prescribed with aspirin 325 mg tablet at the same time in this year? | SELECT t3.drugname FROM (SELECT t2.drugname, DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS c1 FROM (SELECT patient.uniquepid, medication.drugstarttime FROM medication JOIN patient ON medication.patientunitstayid = patient.patientunitstayid WHERE medication.drugname = 'aspirin 325 mg tablet' AND DATETIME(medication.drugstarttime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-0 year')) AS t1 JOIN (SELECT patient.uniquepid, medication.drugname, medication.drugstarttime FROM medication JOIN patient ON medication.patientunitstayid = patient.patientunitstayid WHERE DATETIME(medication.drugstarttime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-0 year')) AS t2 ON t1.uniquepid = t2.uniquepid WHERE DATETIME(t1.drugstarttime) = DATETIME(t2.drugstarttime) GROUP BY t2.drugname) AS t3 WHERE t3.c1 <= 4 | WITH "t2" AS (SELECT "patient"."uniquepid", "medication"."drugname", "medication"."drugstarttime" FROM "medication" JOIN "patient" ON "medication"."patientunitstayid" = "patient"."patientunitstayid" WHERE DATETIME("medication"."drugstarttime", 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-0 year')), "t3" AS (SELECT "t2"."drugname", DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS "c1" FROM "medication" JOIN "patient" ON "medication"."patientunitstayid" = "patient"."patientunitstayid" JOIN "t2" "t2" ON "patient"."uniquepid" = "t2"."uniquepid" AND DATETIME("medication"."drugstarttime") = DATETIME("t2"."drugstarttime") WHERE "medication"."drugname" = 'aspirin 325 mg tablet' AND DATETIME("medication"."drugstarttime", 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-0 year') GROUP BY "t2"."drugname") SELECT "t3"."drugname" FROM "t3" "t3" WHERE "t3"."c1" <= 4 | 0.87207 |
CREATE TABLE table_37914 ("Date" CLOB, "Venue" CLOB, "Score" CLOB, "Result" CLOB, "Competition" CLOB)
| What was the score on 8 September 1999? | SELECT "Score" FROM table_37914 WHERE "Date" = '8 september 1999' | SELECT "Score" FROM "table_37914" WHERE "Date" = '8 september 1999' | 0.06543 |
CREATE TABLE Financial_Transactions (transaction_id NUMBER, previous_transaction_id NUMBER, account_id NUMBER, card_id NUMBER, transaction_type VARCHAR2, transaction_date DATETIME, transaction_amount DOUBLE PRECISION, transaction_comment VARCHAR2, other_transaction_details VARCHAR2)
CREATE TABLE Customers (customer_id NUMBER, customer_first_name VARCHAR2, customer_last_name VARCHAR2, customer_address VARCHAR2, customer_phone VARCHAR2, customer_email VARCHAR2, other_customer_details VARCHAR2)
CREATE TABLE Accounts (account_id NUMBER, customer_id NUMBER, account_name VARCHAR2, other_account_details VARCHAR2)
CREATE TABLE Customers_Cards (card_id NUMBER, customer_id NUMBER, card_type_code VARCHAR2, card_number VARCHAR2, date_valid_from DATETIME, date_valid_to DATETIME, other_card_details VARCHAR2)
| Show me a scatter plot of customer id and the total number for . | SELECT customer_id, COUNT(*) FROM Accounts GROUP BY customer_id | SELECT "customer_id", COUNT(*) FROM "Accounts" GROUP BY "customer_id" | 0.067383 |
CREATE TABLE table_203_20 (id NUMBER, "player" CLOB, "year" NUMBER, "round" CLOB, "result" CLOB, "opponent" CLOB)
| other than kyle anderson , who else lost in 2014 ? | SELECT "player" FROM table_203_20 WHERE "player" <> 'kyle anderson' AND "result" = 'lost' AND "year" = 2014 | SELECT "player" FROM "table_203_20" WHERE "player" <> 'kyle anderson' AND "result" = 'lost' AND "year" = 2014 | 0.106445 |
CREATE TABLE table_53282 ("Home team" CLOB, "Home team score" CLOB, "Away team" CLOB, "Away team score" CLOB, "Venue" CLOB, "Crowd" FLOAT, "Date" CLOB)
| What day did Collingwood play as the home team? | SELECT "Date" FROM table_53282 WHERE "Home team" = 'collingwood' | SELECT "Date" FROM "table_53282" WHERE "Home team" = 'collingwood' | 0.064453 |
CREATE TABLE table_203_300 (id NUMBER, "year" NUMBER, "tournament" CLOB, "venue" CLOB, "result" CLOB, "extra" CLOB)
| how many times was the venue in greece ? | SELECT COUNT(*) FROM table_203_300 WHERE "venue" = 'greece' | SELECT COUNT(*) FROM "table_203_300" WHERE "venue" = 'greece' | 0.05957 |
CREATE TABLE table_name_31 (total_tenure_time VARCHAR2, name VARCHAR2, uninterrupted_rank VARCHAR2, total_tenure_rank VARCHAR2)
| What is the total tenure time of Warren Magnuson, who had an uninterrupted rank larger than 4 and a total tenure rank larger than 9? | SELECT total_tenure_time FROM table_name_31 WHERE uninterrupted_rank > 4 AND total_tenure_rank > 9 AND name = "warren magnuson" | SELECT "total_tenure_time" FROM "table_name_31" WHERE "name" = "warren magnuson" AND "total_tenure_rank" > 9 AND "uninterrupted_rank" > 4 | 0.133789 |
CREATE TABLE table_name_49 (time_retired VARCHAR2, grid VARCHAR2)
| What time/retired for grid 18? | SELECT time_retired FROM table_name_49 WHERE grid = 18 | SELECT "time_retired" FROM "table_name_49" WHERE "grid" = 18 | 0.058594 |
CREATE TABLE table_13719788_1 (director VARCHAR2, original_title VARCHAR2)
| Who is the director of the fimm Biola Tak Berdawai? | SELECT director FROM table_13719788_1 WHERE original_title = "Biola tak berdawai" | SELECT "director" FROM "table_13719788_1" WHERE "Biola tak berdawai" = "original_title" | 0.084961 |
CREATE TABLE table_train_79 ("id" NUMBER, "fasting_triglycerides" NUMBER, "fasting_total_cholesterol" NUMBER, "fasting_glucose" NUMBER, "age" FLOAT, "NOUSE" FLOAT)
| laboratory findings of fasting triglycerides greater than or equal to 200 mg / dl | SELECT * FROM table_train_79 WHERE fasting_triglycerides >= 200 | SELECT * FROM "table_train_79" WHERE "fasting_triglycerides" >= 200 | 0.06543 |
CREATE TABLE table_name_21 (home_team VARCHAR2, venue VARCHAR2)
| What is the home team of Lake Oval? | SELECT home_team FROM table_name_21 WHERE venue = "lake oval" | SELECT "home_team" FROM "table_name_21" WHERE "lake oval" = "venue" | 0.06543 |
CREATE TABLE table_7568 ("Year / Theme" CLOB, "Award name" CLOB, "Team name" CLOB, "Team number" FLOAT, "City , State/Country" CLOB)
| What's the name of the award given to Team number 23? | SELECT "Award name" FROM table_7568 WHERE "Team number" = '23' | SELECT "Award name" FROM "table_7568" WHERE "Team number" = '23' | 0.0625 |
CREATE TABLE table_19433 ("School Year" CLOB, "Class A" CLOB, "Class AA" CLOB, "Class AAA" CLOB, "Class AAAA" CLOB, "Class AAAAA" CLOB)
| Who was the Class A winner in 2006-07? | SELECT "Class A" FROM table_19433 WHERE "School Year" = '2006-07' | SELECT "Class A" FROM "table_19433" WHERE "School Year" = '2006-07' | 0.06543 |
CREATE TABLE Lives_in (stuid NUMBER, dormid NUMBER, room_number NUMBER)
CREATE TABLE Dorm_amenity (amenid NUMBER, amenity_name VARCHAR2)
CREATE TABLE Dorm (dormid NUMBER, dorm_name VARCHAR2, student_capacity NUMBER, gender VARCHAR2)
CREATE TABLE Student (StuID NUMBER, LName VARCHAR2, Fname VARCHAR2, Age NUMBER, Sex VARCHAR2, Major NUMBER, Advisor NUMBER, city_code VARCHAR2)
CREATE TABLE Has_amenity (dormid NUMBER, amenid NUMBER)
| what is the average age for each dorm and what are the names of each dorm?, and show by the Y from high to low. | SELECT dorm_name, AVG(T1.Age) FROM Student AS T1 JOIN Lives_in AS T2 ON T1.stuid = T2.stuid JOIN Dorm AS T3 ON T3.dormid = T2.dormid GROUP BY T3.dorm_name ORDER BY AVG(T1.Age) DESC | SELECT "dorm_name", AVG("T1"."Age") FROM "Student" "T1" JOIN "Lives_in" "T2" ON "T1"."stuid" = "T2"."stuid" JOIN "Dorm" "T3" ON "T2"."dormid" = "T3"."dormid" GROUP BY "T3"."dorm_name" ORDER BY AVG("T1"."Age") DESC | 0.208008 |
CREATE TABLE table_24045 ("Episode" CLOB, "Broadcast date" CLOB, "Run time" CLOB, "Viewers ( in millions ) " CLOB, "Archive" CLOB)
| Which episode was watched by 7.2 million viewers? | SELECT "Episode" FROM table_24045 WHERE "Viewers (in millions)" = '7.2' | SELECT "Episode" FROM "table_24045" WHERE "Viewers (in millions)" = '7.2' | 0.071289 |
CREATE TABLE table_1691800_2 (population__2010_ VARCHAR2, municipality VARCHAR2)
| what is the population where municipality is san jacinto? | SELECT population__2010_ FROM table_1691800_2 WHERE municipality = "San Jacinto" | SELECT "population__2010_" FROM "table_1691800_2" WHERE "San Jacinto" = "municipality" | 0.083984 |
CREATE TABLE table_name_92 (meet VARCHAR2, time VARCHAR2)
| I want to meet that has a time 2:15.93 | SELECT meet FROM table_name_92 WHERE time = "2:15.93" | SELECT "meet" FROM "table_name_92" WHERE "2:15.93" = "time" | 0.057617 |
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 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 allergy (allergyid NUMBER, patientunitstayid NUMBER, drugname CLOB, allergyname CLOB, allergytime TIME)
CREATE TABLE microlab (microlabid NUMBER, patientunitstayid NUMBER, culturesite CLOB, organism CLOB, culturetakentime TIME)
CREATE TABLE 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 vitalperiodic (vitalperiodicid NUMBER, patientunitstayid NUMBER, temperature NUMBER, sao2 NUMBER, heartrate NUMBER, respiration NUMBER, systemicsystolic NUMBER, systemicdiastolic NUMBER, systemicmean NUMBER, observationtime TIME)
CREATE TABLE lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime TIME)
| in the last hospital encounter when patient 031-23724 last got a microbiology test? | SELECT microlab.culturetakentime FROM microlab WHERE microlab.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '031-23724' AND NOT patient.hospitaldischargetime IS NULL ORDER BY patient.hospitaladmittime DESC LIMIT 1)) ORDER BY microlab.culturetakentime DESC LIMIT 1 | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '031-23724' AND NOT "patient"."hospitaldischargetime" IS NULL GROUP BY "patienthealthsystemstayid" ORDER BY "patient"."hospitaladmittime" DESC FETCH FIRST 1 ROWS ONLY), "_u_1" AS (SELECT "patient"."patientunitstayid" FROM "patient" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "patient"."patienthealthsystemstayid" WHERE NOT "_u_0"."" IS NULL GROUP BY "patientunitstayid") SELECT "microlab"."culturetakentime" FROM "microlab" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "microlab"."patientunitstayid" WHERE NOT "_u_1"."" IS NULL ORDER BY "microlab"."culturetakentime" DESC FETCH FIRST 1 ROWS ONLY | 0.674805 |
CREATE TABLE table_48029 ("Tie no" CLOB, "Home team" CLOB, "Score" CLOB, "Away team" CLOB, "Date" CLOB)
| What was the score when the away team was brighton & hove albion? | SELECT "Score" FROM table_48029 WHERE "Away team" = 'brighton & hove albion' | SELECT "Score" FROM "table_48029" WHERE "Away team" = 'brighton & hove albion' | 0.076172 |
CREATE TABLE table_2648 ("Outcome" CLOB, "Year" FLOAT, "Championship" CLOB, "Surface" CLOB, "Partner" CLOB, "Opponents" CLOB, "Score" CLOB)
| Who were the partners in games where the score was 7-5, 2-6, [6-10]? | SELECT "Partner" FROM table_2648 WHERE "Score" = '7-5, 2-6, [6-10]' | SELECT "Partner" FROM "table_2648" WHERE "Score" = '7-5, 2-6, [6-10]' | 0.067383 |
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 lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
| what is the number of government health insurance patients who are diagnosed with microscopic hematuria? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.insurance = "Government" AND diagnoses.long_title = "Microscopic hematuria" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "Microscopic hematuria" = "diagnoses"."long_title" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" WHERE "Government" = "demographic"."insurance" | 0.232422 |
CREATE TABLE table_36477 ("Position" FLOAT, "Sail number" CLOB, "Yacht" CLOB, "State/country" CLOB, "Yacht type" CLOB, "LOA ( Metres ) " FLOAT, "Skipper" CLOB, "Corrected time d:hh:mm:ss" CLOB)
| Which Sail number has a Position smaller than 2? | SELECT "Sail number" FROM table_36477 WHERE "Position" < '2' | SELECT "Sail number" FROM "table_36477" WHERE "Position" < '2' | 0.060547 |
CREATE TABLE table_34157 ("Draw" FLOAT, "Language" CLOB, "Artist" CLOB, "Song" CLOB, "English translation" CLOB, "Place" FLOAT, "Points" FLOAT)
| What is the average Draw for the artist(s), whose language is Swedish, and scored less than 10 points? | SELECT AVG("Draw") FROM table_34157 WHERE "Language" = 'swedish' AND "Points" < '10' | SELECT AVG("Draw") FROM "table_34157" WHERE "Language" = 'swedish' AND "Points" < '10' | 0.083984 |
CREATE TABLE table_21197135_1 (record VARCHAR2, opponent VARCHAR2)
| What was the team record when the team played @ Utah? | SELECT record FROM table_21197135_1 WHERE opponent = "@ Utah" | SELECT "record" FROM "table_21197135_1" WHERE "@ Utah" = "opponent" | 0.06543 |
CREATE TABLE job_history (EMPLOYEE_ID NUMBER, START_DATE DATE, END_DATE DATE, JOB_ID VARCHAR2, DEPARTMENT_ID NUMBER)
CREATE TABLE jobs (JOB_ID VARCHAR2, JOB_TITLE VARCHAR2, MIN_SALARY NUMBER, MAX_SALARY NUMBER)
CREATE TABLE locations (LOCATION_ID NUMBER, STREET_ADDRESS VARCHAR2, POSTAL_CODE VARCHAR2, CITY VARCHAR2, STATE_PROVINCE VARCHAR2, COUNTRY_ID VARCHAR2)
CREATE TABLE departments (DEPARTMENT_ID NUMBER, DEPARTMENT_NAME VARCHAR2, MANAGER_ID NUMBER, LOCATION_ID NUMBER)
CREATE TABLE employees (EMPLOYEE_ID NUMBER, FIRST_NAME VARCHAR2, LAST_NAME VARCHAR2, EMAIL VARCHAR2, PHONE_NUMBER VARCHAR2, HIRE_DATE DATE, JOB_ID VARCHAR2, SALARY NUMBER, COMMISSION_PCT NUMBER, MANAGER_ID NUMBER, DEPARTMENT_ID NUMBER)
CREATE TABLE countries (COUNTRY_ID VARCHAR2, COUNTRY_NAME VARCHAR2, REGION_ID NUMBER)
CREATE TABLE regions (REGION_ID NUMBER, REGION_NAME VARCHAR2)
| 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, return a bar chart about the distribution of job_id and the amount of job_id , and group by attribute job_id. | SELECT JOB_ID, COUNT(JOB_ID) FROM employees WHERE SALARY BETWEEN 8000 AND 12000 AND COMMISSION_PCT <> "null" OR DEPARTMENT_ID <> 40 GROUP BY JOB_ID | SELECT "JOB_ID", COUNT("JOB_ID") FROM "employees" WHERE ("COMMISSION_PCT" <> "null" OR "DEPARTMENT_ID" <> 40) AND ("DEPARTMENT_ID" <> 40 OR "SALARY" <= 12000) AND ("DEPARTMENT_ID" <> 40 OR "SALARY" >= 8000) GROUP BY "JOB_ID" | 0.21875 |
CREATE TABLE ship (Ship_ID NUMBER, Name CLOB, Type CLOB, Nationality CLOB, Tonnage NUMBER)
CREATE TABLE mission (Mission_ID NUMBER, Ship_ID NUMBER, Code CLOB, Launched_Year NUMBER, Location CLOB, Speed_knots NUMBER, Fate CLOB)
| Show different types of ships and the number of ships of each type in a bar chart, and show Type in desc order. | SELECT Type, COUNT(*) FROM ship GROUP BY Type ORDER BY Type DESC | SELECT "Type", COUNT(*) FROM "ship" GROUP BY "Type" ORDER BY "Type" DESC | 0.070313 |
CREATE TABLE table_name_79 (round NUMBER, overall VARCHAR2, position VARCHAR2, college VARCHAR2)
| What is the average round of the s position player from the college of Mississippi and has an overall less than 214? | SELECT AVG(round) FROM table_name_79 WHERE position = "s" AND college = "mississippi" AND overall < 214 | SELECT AVG("round") FROM "table_name_79" WHERE "college" = "mississippi" AND "overall" < 214 AND "position" = "s" | 0.110352 |
CREATE TABLE table_name_48 (week NUMBER, attendance VARCHAR2)
| How many weeks were there games with 41,384 fans in attendance? | SELECT SUM(week) FROM table_name_48 WHERE attendance = "41,384" | SELECT SUM("week") FROM "table_name_48" WHERE "41,384" = "attendance" | 0.067383 |
CREATE TABLE table_name_33 (played VARCHAR2, points_against VARCHAR2)
| What is listed for Played that has Points against of 263? | SELECT played FROM table_name_33 WHERE points_against = "263" | SELECT "played" FROM "table_name_33" WHERE "263" = "points_against" | 0.06543 |
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
| what is religion of subject id 6983? | SELECT demographic.religion FROM demographic WHERE demographic.subject_id = "6983" | SELECT "demographic"."religion" FROM "demographic" WHERE "6983" = "demographic"."subject_id" | 0.089844 |
CREATE TABLE table_58250 ("Date" CLOB, "Opponent" CLOB, "Score" CLOB, "Loss" CLOB, "Attendance" CLOB, "Record" CLOB)
| What's the Loss listed for the Opponent of California Angels and has an Attendance of 57,762? | SELECT "Loss" FROM table_58250 WHERE "Opponent" = 'california angels' AND "Attendance" = '57,762' | SELECT "Loss" FROM "table_58250" WHERE "Attendance" = '57,762' AND "Opponent" = 'california angels' | 0.09668 |
CREATE TABLE artist (artist_name VARCHAR2, country VARCHAR2, gender VARCHAR2, preferred_genre VARCHAR2)
CREATE TABLE genre (g_name VARCHAR2, rating VARCHAR2, most_popular_in VARCHAR2)
CREATE TABLE song (song_name VARCHAR2, artist_name VARCHAR2, country VARCHAR2, f_id NUMBER, genre_is VARCHAR2, rating NUMBER, languages VARCHAR2, releasedate DATE, resolution NUMBER)
CREATE TABLE files (f_id NUMBER, artist_name VARCHAR2, file_size VARCHAR2, duration VARCHAR2, formats VARCHAR2)
| What countries are the female artists who sung in the language Bangla from, and count them by a pie chart | SELECT T1.country, T1.country FROM artist AS T1 JOIN song AS T2 ON T1.artist_name = T2.artist_name WHERE T1.gender = "Female" AND T2.languages = "bangla" GROUP BY T1.country | SELECT "T1"."country", "T1"."country" FROM "artist" "T1" JOIN "song" "T2" ON "T1"."artist_name" = "T2"."artist_name" AND "T2"."languages" = "bangla" WHERE "Female" = "T1"."gender" GROUP BY "T1"."country" | 0.198242 |
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 appellations (No NUMBER, Appelation CLOB, County CLOB, State CLOB, Area CLOB, isAVA CLOB)
CREATE TABLE grapes (ID NUMBER, Grape CLOB, Color CLOB)
| Give me a bar chart for how many grape of each grape, and sort by the total number in asc. | SELECT Grape, COUNT(Grape) FROM wine GROUP BY Grape ORDER BY COUNT(Grape) | SELECT "Grape", COUNT("Grape") FROM "wine" GROUP BY "Grape" ORDER BY COUNT("Grape") | 0.081055 |
CREATE TABLE labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
CREATE TABLE transfers (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, eventtype CLOB, careunit CLOB, wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
CREATE TABLE diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE icustays (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, first_careunit CLOB, last_careunit CLOB, first_wardid NUMBER, last_wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
CREATE TABLE cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE admissions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, admittime TIME, dischtime TIME, admission_type CLOB, admission_location CLOB, discharge_location CLOB, insurance CLOB, language CLOB, marital_status CLOB, ethnicity CLOB, age NUMBER)
CREATE TABLE prescriptions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, startdate TIME, enddate TIME, drug CLOB, dose_val_rx CLOB, dose_unit_rx CLOB, route CLOB)
CREATE TABLE procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
CREATE TABLE outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
CREATE TABLE chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
| when was the last time that patient 1902 was prescribed a medication via iv during the current hospital visit? | SELECT prescriptions.startdate FROM prescriptions WHERE prescriptions.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 1902 AND admissions.dischtime IS NULL) AND prescriptions.route = 'iv' ORDER BY prescriptions.startdate DESC LIMIT 1 | WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."dischtime" IS NULL AND "admissions"."subject_id" = 1902 GROUP BY "hadm_id") SELECT "prescriptions"."startdate" FROM "prescriptions" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "prescriptions"."hadm_id" WHERE "prescriptions"."route" = 'iv' AND NOT "_u_0"."" IS NULL ORDER BY "prescriptions"."startdate" DESC FETCH FIRST 1 ROWS ONLY | 0.399414 |
CREATE TABLE table_22050 ("Week" FLOAT, "Date" CLOB, "Opponent" CLOB, "Result" CLOB, "Game site" CLOB, "Record" CLOB, "Attendance" FLOAT)
| What is the opponent played on October 4? | SELECT "Opponent" FROM table_22050 WHERE "Date" = 'October 4' | SELECT "Opponent" FROM "table_22050" WHERE "Date" = 'October 4' | 0.061523 |
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