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CREATE TABLE table_name_38 (tie_no VARCHAR2, away_team VARCHAR2)
| What tie happened with Southampton? | SELECT tie_no FROM table_name_38 WHERE away_team = "southampton" | SELECT "tie_no" FROM "table_name_38" WHERE "away_team" = "southampton" | 0.068359 |
CREATE TABLE table_name_51 (surface VARCHAR2, edition VARCHAR2, outcome VARCHAR2)
| What is Surface, when Edition is 2012, and when Outcome is Winner? | SELECT surface FROM table_name_51 WHERE edition = 2012 AND outcome = "winner" | SELECT "surface" FROM "table_name_51" WHERE "edition" = 2012 AND "outcome" = "winner" | 0.083008 |
CREATE TABLE Purchases (purchase_transaction_id NUMBER, purchase_details VARCHAR2)
CREATE TABLE Sales (sales_transaction_id NUMBER, sales_details VARCHAR2)
CREATE TABLE Transactions_Lots (transaction_id NUMBER, lot_id NUMBER)
CREATE TABLE Ref_Transaction_Types (transaction_type_code VARCHAR2, transaction_type_description VARCHAR2)
CREATE TABLE Transactions (transaction_id NUMBER, investor_id NUMBER, transaction_type_code VARCHAR2, date_of_transaction DATETIME, amount_of_transaction NUMBER, share_count VARCHAR2, other_details VARCHAR2)
CREATE TABLE Investors (investor_id NUMBER, Investor_details VARCHAR2)
CREATE TABLE Lots (lot_id NUMBER, investor_id NUMBER, lot_details VARCHAR2)
| Bar chart x axis date of transaction y axis mean share count, and show by the Y in descending. | SELECT date_of_transaction, AVG(share_count) FROM Transactions ORDER BY AVG(share_count) DESC | SELECT "date_of_transaction", AVG("share_count") FROM "Transactions" ORDER BY AVG("share_count") DESC | 0.098633 |
CREATE TABLE table_50330 ("Year ended" CLOB, "Revenue ( \\u00a3million ) " FLOAT, "Profit/ ( loss ) before tax ( \\u00a3m ) " FLOAT, "Net profit ( \\u00a3m ) " FLOAT, "Earnings per share ( p ) " FLOAT)
| What is the year 2007 earnings per share? | SELECT "Earnings per share (p)" FROM table_50330 WHERE "Year ended" = '2007' | SELECT "Earnings per share (p)" FROM "table_50330" WHERE "Year ended" = '2007' | 0.076172 |
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 prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
| Which patients with infected right thigh graft as their primary disease have long term care as their hospital discharge? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.discharge_location = "LONG TERM CARE HOSPITAL" AND demographic.diagnosis = "INFECTED RIGHT THIGH GRAFT" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "INFECTED RIGHT THIGH GRAFT" = "demographic"."diagnosis" AND "LONG TERM CARE HOSPITAL" = "demographic"."discharge_location" | 0.193359 |
CREATE TABLE table_22626 ("Country" CLOB, "TV Network ( s ) " CLOB, "Series Premiere" CLOB, "Weekly Schedule" CLOB, "Status" CLOB)
| What is every weekly schedule of TV network Viasat 4? | SELECT "Weekly Schedule" FROM table_22626 WHERE "TV Network(s)" = 'Viasat 4' | SELECT "Weekly Schedule" FROM "table_22626" WHERE "TV Network(s)" = 'Viasat 4' | 0.076172 |
CREATE TABLE table_41258 ("Rank" FLOAT, "Country" CLOB, "Winner" FLOAT, "Runner -up" FLOAT, "Losing Semi- finalist" FLOAT)
| Which Rank has a Losing Semi- finalist larger than 1, and a Winner smaller than 5? | SELECT "Rank" FROM table_41258 WHERE "Losing Semi- finalist" > '1' AND "Winner" < '5' | SELECT "Rank" FROM "table_41258" WHERE "Losing Semi- finalist" > '1' AND "Winner" < '5' | 0.084961 |
CREATE TABLE table_29117 ("Country" CLOB, "Skip" CLOB, "W" FLOAT, "L" FLOAT, "PF" FLOAT, "PA" FLOAT, "Ends Won" FLOAT, "Ends Lost" FLOAT, "Blank Ends" FLOAT, "Stolen Ends" FLOAT, "Shot Pct." FLOAT)
| When czech republic is the country what is the lowest amount l? | SELECT MIN("L") FROM table_29117 WHERE "Country" = 'Czech Republic' | SELECT MIN("L") FROM "table_29117" WHERE "Country" = 'Czech Republic' | 0.067383 |
CREATE TABLE table_200_22 (id NUMBER, "year" NUMBER, "single" CLOB, "peak chart positions\ ger" NUMBER, "peak chart positions\ ire" NUMBER, "peak chart positions\ uk" NUMBER, "peak chart positions\ us" NUMBER, "peak chart positions\ us\ main" NUMBER, "peak chart positions\ us\ dance" NUMBER, "certifications\ ( sales thresholds ) " NUMBER, "album" CLOB)
| what chart position did the single with david bowie reach in the us ? | SELECT "peak chart positions\nus" FROM table_200_22 WHERE "single" = 'with david bowie' | SELECT "peak chart positions\nus" FROM "table_200_22" WHERE "single" = 'with david bowie' | 0.086914 |
CREATE TABLE table_name_94 (outcome VARCHAR2, partner VARCHAR2)
| What is the outcome of the match when the partner is Nicole Arendt? | SELECT outcome FROM table_name_94 WHERE partner = "nicole arendt" | SELECT "outcome" FROM "table_name_94" WHERE "nicole arendt" = "partner" | 0.069336 |
CREATE TABLE table_78845 ("Season" CLOB, "League" CLOB, "Teams" CLOB, "Home" CLOB, "Away" CLOB)
| Which season has the regionalliga s d (iii) league? | SELECT "Season" FROM table_78845 WHERE "League" = 'regionalliga süd (iii)' | SELECT "Season" FROM "table_78845" WHERE "League" = 'regionalliga süd (iii)' | 0.074219 |
CREATE TABLE diagnoses_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 admissions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, admittime TIME, dischtime TIME, admission_type CLOB, admission_location CLOB, discharge_location CLOB, insurance CLOB, language CLOB, marital_status CLOB, ethnicity CLOB, age NUMBER)
CREATE TABLE d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
CREATE TABLE cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost 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 patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
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 prescriptions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, startdate TIME, enddate TIME, drug CLOB, dose_val_rx CLOB, dose_unit_rx CLOB, route CLOB)
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
CREATE TABLE icustays (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, first_careunit CLOB, last_careunit CLOB, first_wardid NUMBER, last_wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE transfers (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, eventtype CLOB, careunit CLOB, wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE d_icd_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 outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
CREATE TABLE labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
| what is the number of patients in careunit ccu until 3 years ago. | SELECT COUNT(DISTINCT admissions.subject_id) FROM admissions WHERE admissions.hadm_id IN (SELECT transfers.hadm_id FROM transfers WHERE transfers.careunit = 'ccu' AND DATETIME(transfers.intime) <= DATETIME(CURRENT_TIME(), '-3 year')) | WITH "_u_0" AS (SELECT "transfers"."hadm_id" FROM "transfers" WHERE "transfers"."careunit" = 'ccu' AND DATETIME("transfers"."intime") <= DATETIME(CURRENT_TIME(), '-3 year') GROUP BY "hadm_id") SELECT COUNT(DISTINCT "admissions"."subject_id") FROM "admissions" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "admissions"."hadm_id" WHERE NOT "_u_0"."" IS NULL | 0.34082 |
CREATE TABLE table_26473176_1 (podiums VARCHAR2, position VARCHAR2)
| What was the number of podiums in 12th position? | SELECT podiums FROM table_26473176_1 WHERE position = "12th" | SELECT "podiums" FROM "table_26473176_1" WHERE "12th" = "position" | 0.064453 |
CREATE TABLE table_19300 ("Celebrity" CLOB, "Famous for" CLOB, "Entered" CLOB, "Exited" CLOB, "Finished" CLOB)
| what is the celebrity where the finished is 5th? | SELECT "Celebrity" FROM table_19300 WHERE "Finished" = '5th' | SELECT "Celebrity" FROM "table_19300" WHERE "Finished" = '5th' | 0.060547 |
CREATE TABLE table_name_41 (record VARCHAR2, res VARCHAR2, event VARCHAR2)
| Which record has a result of loss in the Hero's 3 event? | SELECT record FROM table_name_41 WHERE res = "loss" AND event = "hero's 3" | SELECT "record" FROM "table_name_41" WHERE "event" = "hero's 3" AND "loss" = "res" | 0.080078 |
CREATE TABLE table_12211 ("Res." CLOB, "Record" CLOB, "Opponent" CLOB, "Method" CLOB, "Event" CLOB, "Round" FLOAT, "Time" CLOB, "Location" CLOB)
| What is the record when the time is 1:11? | SELECT "Record" FROM table_12211 WHERE "Time" = '1:11' | SELECT "Record" FROM "table_12211" WHERE "Time" = '1:11' | 0.054688 |
CREATE TABLE table_name_13 (date VARCHAR2, tie_no VARCHAR2)
| What is the Date of Tie no 21? | SELECT date FROM table_name_13 WHERE tie_no = "21" | SELECT "date" FROM "table_name_13" WHERE "21" = "tie_no" | 0.054688 |
CREATE TABLE table_20492 ("Game" FLOAT, "Date" CLOB, "Opponent" CLOB, "Result" CLOB, "Bills points" FLOAT, "Opponents" FLOAT, "Bills first downs" FLOAT, "Record" CLOB)
| When is the latest game the bills had 21 first downs | SELECT MIN("Game") FROM table_20492 WHERE "Bills first downs" = '21' | SELECT MIN("Game") FROM "table_20492" WHERE "Bills first downs" = '21' | 0.068359 |
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE 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)
| what is admission type and primary disease of subject name travis hofman? | SELECT demographic.admission_type, demographic.diagnosis FROM demographic WHERE demographic.name = "Travis Hofman" | SELECT "demographic"."admission_type", "demographic"."diagnosis" FROM "demographic" WHERE "Travis Hofman" = "demographic"."name" | 0.125 |
CREATE TABLE Invoice_Line_Items (order_item_id NUMBER, invoice_number NUMBER, product_id NUMBER, product_title VARCHAR2, product_quantity VARCHAR2, product_price NUMBER, derived_product_cost NUMBER, derived_vat_payable NUMBER, derived_total_cost NUMBER)
CREATE TABLE Orders (order_id NUMBER, customer_id NUMBER, date_order_placed DATETIME, order_details VARCHAR2)
CREATE TABLE Customers (customer_id NUMBER, customer_first_name VARCHAR2, customer_middle_initial VARCHAR2, customer_last_name VARCHAR2, gender VARCHAR2, email_address VARCHAR2, login_name VARCHAR2, login_password VARCHAR2, phone_number VARCHAR2, town_city VARCHAR2, state_county_province VARCHAR2, country VARCHAR2)
CREATE TABLE Invoices (invoice_number NUMBER, order_id NUMBER, invoice_date DATETIME)
CREATE TABLE Product_Categories (production_type_code VARCHAR2, product_type_description VARCHAR2, vat_rating NUMBER)
CREATE TABLE Accounts (account_id NUMBER, customer_id NUMBER, date_account_opened DATETIME, account_name VARCHAR2, other_account_details VARCHAR2)
CREATE TABLE Products (product_id NUMBER, parent_product_id NUMBER, production_type_code VARCHAR2, unit_price NUMBER, product_name VARCHAR2, product_color VARCHAR2, product_size VARCHAR2)
CREATE TABLE Financial_Transactions (transaction_id NUMBER, account_id NUMBER, invoice_number NUMBER, transaction_type VARCHAR2, transaction_date DATETIME, transaction_amount NUMBER, transaction_comment VARCHAR2, other_transaction_details VARCHAR2)
CREATE TABLE Order_Items (order_item_id NUMBER, order_id NUMBER, product_id NUMBER, product_quantity VARCHAR2, other_order_item_details VARCHAR2)
| Visualize a bar chart for what are the first names and ids for customers who have two or more accounts?, and could you order y axis in desc order? | SELECT T2.customer_first_name, T1.customer_id FROM Accounts AS T1 JOIN Customers AS T2 ON T1.customer_id = T2.customer_id ORDER BY T1.customer_id DESC | SELECT "T2"."customer_first_name", "T1"."customer_id" FROM "Accounts" "T1" JOIN "Customers" "T2" ON "T1"."customer_id" = "T2"."customer_id" ORDER BY "T1"."customer_id" DESC | 0.167969 |
CREATE TABLE table_203_560 (id NUMBER, "name" CLOB, "type" CLOB, "circle" CLOB, "bench" CLOB, "formed" CLOB, "notes" CLOB)
| which bench is represented the most ? | SELECT "bench" FROM table_203_560 GROUP BY "bench" ORDER BY COUNT(*) DESC LIMIT 1 | SELECT "bench" FROM "table_203_560" GROUP BY "bench" ORDER BY COUNT(*) DESC FETCH FIRST 1 ROWS ONLY | 0.09668 |
CREATE TABLE table_27879 ("Settlement" CLOB, "Cyrillic Name Other Names" CLOB, "Type" CLOB, "Population ( 2011 ) " FLOAT, "Largest ethnic group ( 2002 ) " CLOB, "Dominant religion ( 2002 ) " CLOB)
| What was the largest ethnic group in in the settlement with the cyrillic name ? | SELECT "Largest ethnic group (2002)" FROM table_27879 WHERE "Cyrillic Name Other Names" = 'Банатски Карловац' | SELECT "Largest ethnic group (2002)" FROM "table_27879" WHERE "Cyrillic Name Other Names" = 'Банатски Карловац' | 0.108398 |
CREATE TABLE table_1974782_1 (type VARCHAR2, location VARCHAR2)
| What's the type of the school in New London, Connecticut? | SELECT type FROM table_1974782_1 WHERE location = "New London, Connecticut" | SELECT "type" FROM "table_1974782_1" WHERE "New London, Connecticut" = "location" | 0.079102 |
CREATE TABLE intakeoutput (intakeoutputid NUMBER, patientunitstayid NUMBER, cellpath CLOB, celllabel CLOB, cellvaluenumeric NUMBER, intakeoutputtime TIME)
CREATE TABLE lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime TIME)
CREATE TABLE 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 vitalperiodic (vitalperiodicid NUMBER, patientunitstayid NUMBER, temperature NUMBER, sao2 NUMBER, heartrate NUMBER, respiration NUMBER, systemicsystolic NUMBER, systemicdiastolic NUMBER, systemicmean NUMBER, observationtime TIME)
CREATE TABLE allergy (allergyid NUMBER, patientunitstayid NUMBER, drugname CLOB, allergyname CLOB, allergytime TIME)
CREATE TABLE 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 microlab (microlabid NUMBER, patientunitstayid NUMBER, culturesite CLOB, organism CLOB, culturetakentime TIME)
CREATE TABLE diagnosis (diagnosisid NUMBER, patientunitstayid NUMBER, diagnosisname CLOB, diagnosistime TIME, icd9code CLOB)
CREATE TABLE medication (medicationid NUMBER, patientunitstayid NUMBER, drugname CLOB, dosage CLOB, routeadmin CLOB, drugstarttime TIME, drugstoptime TIME)
| when was the last time on 06/22/last year that patient 006-50368's respiration was measured greater than 17.0? | SELECT vitalperiodic.observationtime FROM vitalperiodic WHERE vitalperiodic.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '006-50368')) AND vitalperiodic.respiration > 17.0 AND NOT vitalperiodic.respiration IS NULL AND DATETIME(vitalperiodic.observationtime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year') AND STRFTIME('%m-%d', vitalperiodic.observationtime) = '06-22' ORDER BY vitalperiodic.observationtime DESC LIMIT 1 | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '006-50368' GROUP BY "patienthealthsystemstayid"), "_u_1" AS (SELECT "patient"."patientunitstayid" FROM "patient" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "patient"."patienthealthsystemstayid" WHERE NOT "_u_0"."" IS NULL GROUP BY "patientunitstayid") SELECT "vitalperiodic"."observationtime" FROM "vitalperiodic" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "vitalperiodic"."patientunitstayid" WHERE "vitalperiodic"."respiration" > 17.0 AND DATETIME("vitalperiodic"."observationtime", 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year') AND NOT "_u_1"."" IS NULL AND NOT "vitalperiodic"."respiration" IS NULL AND STRFTIME('%m-%d', "vitalperiodic"."observationtime") = '06-22' ORDER BY "vitalperiodic"."observationtime" DESC FETCH FIRST 1 ROWS ONLY | 0.844727 |
CREATE TABLE table_17625749_1 (won VARCHAR2, tries_against VARCHAR2)
| Name the won when tries against is 72 | SELECT won FROM table_17625749_1 WHERE tries_against = "72" | SELECT "won" FROM "table_17625749_1" WHERE "72" = "tries_against" | 0.063477 |
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 PostTags (PostId NUMBER, TagId NUMBER)
CREATE TABLE CloseAsOffTopicReasonTypes (Id NUMBER, IsUniversal BOOLEAN, InputTitle CLOB, MarkdownInputGuidance CLOB, MarkdownPostOwnerGuidance CLOB, MarkdownPrivilegedUserGuidance CLOB, MarkdownConcensusDescription CLOB, CreationDate TIME, CreationModeratorId NUMBER, ApprovalDate TIME, ApprovalModeratorId NUMBER, DeactivationDate TIME, DeactivationModeratorId NUMBER)
CREATE TABLE ReviewTaskStates (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostsWithDeleted (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE TagSynonyms (Id NUMBER, SourceTagName CLOB, TargetTagName CLOB, CreationDate TIME, OwnerUserId NUMBER, AutoRenameCount NUMBER, LastAutoRename TIME, Score NUMBER, ApprovedByUserId NUMBER, ApprovalDate TIME)
CREATE TABLE CloseReasonTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
CREATE TABLE Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
CREATE TABLE ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId 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 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 PendingFlags (Id NUMBER, FlagTypeId NUMBER, PostId NUMBER, CreationDate TIME, CloseReasonTypeId NUMBER, CloseAsOffTopicReasonTypeId NUMBER, DuplicateOfQuestionId NUMBER, BelongsOnBaseHostAddress CLOB)
CREATE TABLE Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
CREATE TABLE ReviewTaskResultTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId NUMBER)
CREATE TABLE PostHistoryTypes (Id NUMBER, Name CLOB)
CREATE TABLE PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId NUMBER)
CREATE TABLE PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
CREATE TABLE SuggestedEdits (Id NUMBER, PostId NUMBER, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId NUMBER, Comment CLOB, Text CLOB, Title CLOB, Tags CLOB, RevisionGUID other)
CREATE TABLE ReviewTaskTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment CLOB)
CREATE TABLE ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
CREATE TABLE FlagTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE VoteTypes (Id NUMBER, Name CLOB)
CREATE TABLE Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount NUMBER)
| SO - Number of active posts last month per 19 moderators. | SELECT COUNT(*) AS PostsLastMonth, 19 AS Moderators, (COUNT(*) / 19) AS PostsLastMonthPerMod FROM Posts WHERE LastActivityDate >= DATEADD(month, -1, (SELECT MAX(LastActivityDate) FROM Posts)) | SELECT COUNT(*) AS "PostsLastMonth", 19 AS "Moderators", COUNT(*) / NULLIF(19, 0) AS "PostsLastMonthPerMod" FROM "Posts" WHERE "LastActivityDate" >= DATEADD("month", -1, (SELECT MAX("LastActivityDate") FROM "Posts")) | 0.210938 |
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 ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId NUMBER)
CREATE TABLE SuggestedEditVotes (Id NUMBER, SuggestedEditId NUMBER, UserId NUMBER, VoteTypeId NUMBER, CreationDate TIME, TargetUserId NUMBER, TargetRepChange NUMBER)
CREATE TABLE Comments (Id NUMBER, PostId NUMBER, Score NUMBER, Text CLOB, CreationDate TIME, UserDisplayName CLOB, UserId NUMBER, ContentLicense CLOB)
CREATE TABLE ReviewTaskStates (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostTags (PostId NUMBER, TagId NUMBER)
CREATE TABLE PendingFlags (Id NUMBER, FlagTypeId NUMBER, PostId NUMBER, CreationDate TIME, CloseReasonTypeId NUMBER, CloseAsOffTopicReasonTypeId NUMBER, DuplicateOfQuestionId NUMBER, BelongsOnBaseHostAddress CLOB)
CREATE TABLE CloseReasonTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostHistoryTypes (Id NUMBER, Name CLOB)
CREATE TABLE ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
CREATE TABLE 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 Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount NUMBER)
CREATE TABLE PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId NUMBER)
CREATE TABLE 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 TagSynonyms (Id NUMBER, SourceTagName CLOB, TargetTagName CLOB, CreationDate TIME, OwnerUserId NUMBER, AutoRenameCount NUMBER, LastAutoRename TIME, Score NUMBER, ApprovedByUserId NUMBER, ApprovalDate TIME)
CREATE TABLE Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
CREATE TABLE PostsWithDeleted (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE VoteTypes (Id NUMBER, Name CLOB)
CREATE TABLE Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
CREATE TABLE PostHistory (Id NUMBER, PostHistoryTypeId NUMBER, PostId NUMBER, RevisionGUID other, CreationDate TIME, UserId NUMBER, UserDisplayName CLOB, Comment CLOB, Text CLOB, ContentLicense CLOB)
CREATE TABLE FlagTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE ReviewTaskTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Posts (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
CREATE TABLE ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment CLOB)
CREATE TABLE SuggestedEdits (Id NUMBER, PostId NUMBER, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId NUMBER, Comment CLOB, Text CLOB, Title CLOB, Tags CLOB, RevisionGUID other)
CREATE TABLE PostTypes (Id NUMBER, Name CLOB)
CREATE TABLE PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
| , 2^n. | SELECT MIN(Posts) AS "min_posts", NULL AS "min_questions", COUNT(OwnerUserId) AS Users FROM (SELECT COUNT(*) AS Posts, OwnerUserId FROM Posts GROUP BY OwnerUserId) AS pu GROUP BY FLOOR(LN(Posts) / LN(2)) UNION SELECT NULL AS "min_posts", MIN(Questions) AS "min_questions", COUNT(OwnerUserId) AS Users FROM (SELECT COUNT(*) AS Questions, OwnerUserId FROM Posts WHERE PostTypeId = 1 GROUP BY OwnerUserId) AS qu GROUP BY FLOOR(LN(Questions) / LN(2)) ORDER BY 1, 2 | WITH "pu" AS (SELECT MAX(1) AS "_" FROM "Posts" GROUP BY "OwnerUserId"), "qu" AS (SELECT MAX(1) AS "_" FROM "Posts" WHERE "PostTypeId" = 1 GROUP BY "OwnerUserId") SELECT MIN("Posts") AS "min_posts", NULL AS "min_questions", COUNT("OwnerUserId") AS "Users" FROM "pu" "pu" GROUP BY FLOOR(LN("Posts") / NULLIF(LN(2), 0)) UNION SELECT NULL AS "min_posts", MIN("Questions") AS "min_questions", COUNT("OwnerUserId") AS "Users" FROM "qu" "qu" GROUP BY FLOOR(LN("Questions") / NULLIF(LN(2), 0)) ORDER BY 1, 2 | 0.488281 |
CREATE TABLE table_name_41 (Id VARCHAR2)
| What is the average 2001 value with a 2010 value greater than 414, a 2011 value of 7192, and a 2005 value larger than 7340? | SELECT AVG(2001) FROM table_name_41 WHERE 2010 > 414 AND 2011 = 7192 AND 2005 > 7340 | SELECT AVG(2001) FROM "table_name_41" WHERE FALSE | 0.047852 |
CREATE TABLE table_name_59 (december NUMBER, record VARCHAR2, game VARCHAR2)
| Which December has a Record of 21 7 2, and a Game larger than 30? | SELECT MAX(december) FROM table_name_59 WHERE record = "21–7–2" AND game > 30 | SELECT MAX("december") FROM "table_name_59" WHERE "21–7–2" = "record" AND "game" > 30 | 0.083008 |
CREATE TABLE table_name_23 (home_team VARCHAR2, venue VARCHAR2)
| In the game held at Arden Street Oval, what was the score of the home team? | SELECT home_team AS score FROM table_name_23 WHERE venue = "arden street oval" | SELECT "home_team" AS "score" FROM "table_name_23" WHERE "arden street oval" = "venue" | 0.083984 |
CREATE TABLE table_70578 ("Tournament" CLOB, "Wins" FLOAT, "Top-5" FLOAT, "Top-10" FLOAT, "Top-25" FLOAT, "Events" FLOAT, "Cuts made" FLOAT)
| Name the top-25 with wins less than 1 and events of 12 | SELECT SUM("Top-25") FROM table_70578 WHERE "Wins" < '1' AND "Events" = '12' | SELECT SUM("Top-25") FROM "table_70578" WHERE "Events" = '12' AND "Wins" < '1' | 0.076172 |
CREATE TABLE table_62223 ("Tie no" CLOB, "Home team" CLOB, "Score" CLOB, "Away team" CLOB, "Date" CLOB)
| What was the score on 31 January 1987 with tie number 1? | SELECT "Score" FROM table_62223 WHERE "Date" = '31 january 1987' AND "Tie no" = '1' | SELECT "Score" FROM "table_62223" WHERE "Date" = '31 january 1987' AND "Tie no" = '1' | 0.083008 |
CREATE TABLE table_203_765 (id NUMBER, "genre" CLOB, "date" CLOB, "japanese title ( original title ) " CLOB, "english title" CLOB, "scoring" CLOB, "notes" CLOB)
| his last score was written in ... | SELECT MAX("date") FROM table_203_765 | SELECT MAX("date") FROM "table_203_765" | 0.038086 |
CREATE TABLE table_2159571_1 (vacator VARCHAR2, date_of_successors_formal_installation VARCHAR2)
| Who is every vacator if date of successors formal installation is August 8, 1960? | SELECT vacator FROM table_2159571_1 WHERE date_of_successors_formal_installation = "August 8, 1960" | SELECT "vacator" FROM "table_2159571_1" WHERE "August 8, 1960" = "date_of_successors_formal_installation" | 0.102539 |
CREATE TABLE table_name_33 (d_41 VARCHAR2, r_51 VARCHAR2)
| Tell me the D 41 and R 51 of r 11 | SELECT d_41 FROM table_name_33 WHERE r_51 = "r 11" | SELECT "d_41" FROM "table_name_33" WHERE "r 11" = "r_51" | 0.054688 |
CREATE TABLE table_26176 ("Neighbourhood" CLOB, "% 0-19" CLOB, "% 20-39" CLOB, "% 40-59" CLOB, "% 60-74" CLOB, "% 75 +" CLOB)
| What is every value for % 20-39 if % 60-74 is 10,46%? | SELECT "% 20-39" FROM table_26176 WHERE "% 60-74" = '10,46%' | SELECT "% 20-39" FROM "table_26176" WHERE "% 60-74" = '10,46%' | 0.060547 |
CREATE TABLE table_54864 ("Rank" FLOAT, "Nation" CLOB, "Gold" FLOAT, "Silver" FLOAT, "Bronze" FLOAT, "Total" FLOAT)
| How many bronze's on average for nations with over 1 total, less than 2 golds, ranked 2nd? | SELECT AVG("Bronze") FROM table_54864 WHERE "Total" > '1' AND "Gold" < '2' AND "Rank" = '2' | SELECT AVG("Bronze") FROM "table_54864" WHERE "Gold" < '2' AND "Rank" = '2' AND "Total" > '1' | 0.09082 |
CREATE TABLE table_2205 ("Year" FLOAT, "Division" FLOAT, "League" CLOB, "Regular Season" CLOB, "Playoffs" CLOB, "Open Canada Cup" CLOB)
| What is the total number of playoffs held in exactly 2006? | SELECT COUNT("Playoffs") FROM table_2205 WHERE "Year" = '2006' | SELECT COUNT("Playoffs") FROM "table_2205" WHERE "Year" = '2006' | 0.0625 |
CREATE TABLE table_name_57 (driver VARCHAR2, chassis VARCHAR2, rounds VARCHAR2)
| Which driver was in 8 rounds with a chassis of dallara f306? | SELECT driver FROM table_name_57 WHERE chassis = "dallara f306" AND rounds = "8" | SELECT "driver" FROM "table_name_57" WHERE "8" = "rounds" AND "chassis" = "dallara f306" | 0.085938 |
CREATE TABLE table_77358 ("Name" CLOB, "Birth" CLOB, "Marriage" CLOB, "Became Dauphine" CLOB, "Ceased to be Dauphine" CLOB, "Death" CLOB, "Husband" CLOB)
| when was the marriage when became dauphine is 31 august 1412? | SELECT "Marriage" FROM table_77358 WHERE "Became Dauphine" = '31 august 1412' | SELECT "Marriage" FROM "table_77358" WHERE "Became Dauphine" = '31 august 1412' | 0.077148 |
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
| provide the number of urgent hospital admission patients who had ascitic fluid lab test. | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.admission_type = "URGENT" AND lab.fluid = "Ascites" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "lab" ON "Ascites" = "lab"."fluid" AND "demographic"."hadm_id" = "lab"."hadm_id" WHERE "URGENT" = "demographic"."admission_type" | 0.197266 |
CREATE TABLE table_8366 ("Game" FLOAT, "Date" CLOB, "Opponent" CLOB, "Score" CLOB, "Location/Attendance" CLOB, "Record" CLOB)
| What is Record, when Game is greater than 55, and when Date is 'March 25'? | SELECT "Record" FROM table_8366 WHERE "Game" > '55' AND "Date" = 'march 25' | SELECT "Record" FROM "table_8366" WHERE "Date" = 'march 25' AND "Game" > '55' | 0.075195 |
CREATE TABLE table_2509112_3 (san_benito_municipality VARCHAR2, language VARCHAR2)
| If the language is another native, what is the San Benito Municipality total number? | SELECT COUNT(san_benito_municipality) FROM table_2509112_3 WHERE language = "Another native" | SELECT COUNT("san_benito_municipality") FROM "table_2509112_3" WHERE "Another native" = "language" | 0.095703 |
CREATE TABLE table_21290 ("Game" FLOAT, "Date" CLOB, "Team" CLOB, "Score" CLOB, "High points" CLOB, "High rebounds" CLOB, "High assists" CLOB, "Location Attendance" CLOB, "Record" CLOB)
| Name the record for april 1 | SELECT "Record" FROM table_21290 WHERE "Date" = 'April 1' | SELECT "Record" FROM "table_21290" WHERE "Date" = 'April 1' | 0.057617 |
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
| what is days of hospital stay and diagnoses short title of subject id 19420? | SELECT demographic.days_stay, diagnoses.short_title FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.subject_id = "19420" | SELECT "demographic"."days_stay", "diagnoses"."short_title" FROM "demographic" JOIN "diagnoses" ON "demographic"."hadm_id" = "diagnoses"."hadm_id" WHERE "19420" = "demographic"."subject_id" | 0.18457 |
CREATE TABLE patient (uniquepid CLOB, patienthealthsystemstayid NUMBER, patientunitstayid NUMBER, gender CLOB, age CLOB, ethnicity CLOB, hospitalid NUMBER, wardid NUMBER, admissionheight NUMBER, admissionweight NUMBER, dischargeweight NUMBER, hospitaladmittime TIME, hospitaladmitsource CLOB, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus CLOB)
CREATE TABLE allergy (allergyid NUMBER, patientunitstayid NUMBER, drugname CLOB, allergyname CLOB, allergytime TIME)
CREATE TABLE diagnosis (diagnosisid NUMBER, patientunitstayid NUMBER, diagnosisname CLOB, diagnosistime TIME, icd9code CLOB)
CREATE TABLE 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 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 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)
CREATE TABLE cost (costid NUMBER, uniquepid CLOB, patienthealthsystemstayid NUMBER, eventtype CLOB, eventid NUMBER, chargetime TIME, cost NUMBER)
| what is the number of patients who have been prescribed potassium chloride 40 meq inj since 2105? | SELECT COUNT(DISTINCT patient.uniquepid) FROM patient WHERE patient.patientunitstayid IN (SELECT medication.patientunitstayid FROM medication WHERE medication.drugname = 'potassium chloride 40 meq inj' AND STRFTIME('%y', medication.drugstarttime) >= '2105') | WITH "_u_0" AS (SELECT "medication"."patientunitstayid" FROM "medication" WHERE "medication"."drugname" = 'potassium chloride 40 meq inj' AND STRFTIME('%y', "medication"."drugstarttime") >= '2105' 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 | 0.374023 |
CREATE TABLE table_26853172_1 (player_1 VARCHAR2, player_3 VARCHAR2, prevailing_wind VARCHAR2)
| What is player 1 when player 3 is South and the prevailing wind is South? | SELECT player_1 FROM table_26853172_1 WHERE player_3 = "South" AND prevailing_wind = "South" | SELECT "player_1" FROM "table_26853172_1" WHERE "South" = "player_3" AND "South" = "prevailing_wind" | 0.097656 |
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
| what is the number of patients whose marital status is widowed and drug route is ivpca? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.marital_status = "WIDOWED" AND prescriptions.route = "IVPCA" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "prescriptions" ON "IVPCA" = "prescriptions"."route" AND "demographic"."hadm_id" = "prescriptions"."hadm_id" WHERE "WIDOWED" = "demographic"."marital_status" | 0.225586 |
CREATE TABLE table_29348 ("Rank" FLOAT, "Total USD" FLOAT, "Project name" CLOB, "Creator" CLOB, "Category" CLOB, "% funded" FLOAT, "Backers" FLOAT, "Closing date" CLOB)
| Project Name Pebble: E-Paper Watch for Iphone and Android was ranked how many times? | SELECT COUNT("Rank") FROM table_29348 WHERE "Project name" = 'Pebble: E-Paper Watch for iPhone and Android' | SELECT COUNT("Rank") FROM "table_29348" WHERE "Project name" = 'Pebble: E-Paper Watch for iPhone and Android' | 0.106445 |
CREATE TABLE intakeoutput (intakeoutputid NUMBER, patientunitstayid NUMBER, cellpath CLOB, celllabel CLOB, cellvaluenumeric NUMBER, intakeoutputtime TIME)
CREATE TABLE cost (costid NUMBER, uniquepid CLOB, patienthealthsystemstayid NUMBER, eventtype CLOB, eventid NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE 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)
CREATE TABLE medication (medicationid NUMBER, patientunitstayid NUMBER, drugname CLOB, dosage CLOB, routeadmin CLOB, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE treatment (treatmentid NUMBER, patientunitstayid NUMBER, treatmentname CLOB, treatmenttime TIME)
CREATE TABLE diagnosis (diagnosisid NUMBER, patientunitstayid NUMBER, diagnosisname CLOB, diagnosistime TIME, icd9code CLOB)
CREATE TABLE allergy (allergyid NUMBER, patientunitstayid NUMBER, drugname CLOB, allergyname CLOB, allergytime TIME)
| what's the name of the treatment that patient 010-19726's got two or more times until 64 months ago? | SELECT t1.treatmentname FROM (SELECT treatment.treatmentname, COUNT(treatment.treatmenttime) AS c1 FROM treatment WHERE treatment.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '010-19726')) AND DATETIME(treatment.treatmenttime) <= DATETIME(CURRENT_TIME(), '-64 month') GROUP BY treatment.treatmentname) AS t1 WHERE t1.c1 >= 2 | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '010-19726' 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"), "t1" AS (SELECT "treatment"."treatmentname", COUNT("treatment"."treatmenttime") AS "c1" FROM "treatment" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "treatment"."patientunitstayid" WHERE DATETIME("treatment"."treatmenttime") <= DATETIME(CURRENT_TIME(), '-64 month') AND NOT "_u_1"."" IS NULL GROUP BY "treatment"."treatmentname") SELECT "t1"."treatmentname" FROM "t1" "t1" WHERE "t1"."c1" >= 2 | 0.726563 |
CREATE TABLE table_26041144_11 (average VARCHAR2, player VARCHAR2)
| What was kumar sangakkara's average? | SELECT average FROM table_26041144_11 WHERE player = "Kumar Sangakkara" | SELECT "average" FROM "table_26041144_11" WHERE "Kumar Sangakkara" = "player" | 0.075195 |
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 Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
CREATE TABLE SuggestedEdits (Id NUMBER, PostId NUMBER, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId NUMBER, Comment CLOB, Text CLOB, Title CLOB, Tags CLOB, RevisionGUID other)
CREATE TABLE 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 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 ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId 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 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 SuggestedEditVotes (Id NUMBER, SuggestedEditId NUMBER, UserId NUMBER, VoteTypeId NUMBER, CreationDate TIME, TargetUserId NUMBER, TargetRepChange NUMBER)
CREATE TABLE PostTypes (Id NUMBER, Name CLOB)
CREATE TABLE CloseReasonTypes (Id NUMBER, Name CLOB, Description CLOB)
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 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 Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
CREATE TABLE ReviewTaskTypes (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 ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment CLOB)
CREATE TABLE PostTags (PostId NUMBER, TagId NUMBER)
CREATE TABLE ReviewTaskStates (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE TagSynonyms (Id NUMBER, SourceTagName CLOB, TargetTagName CLOB, CreationDate TIME, OwnerUserId NUMBER, AutoRenameCount NUMBER, LastAutoRename TIME, Score NUMBER, ApprovedByUserId NUMBER, ApprovalDate TIME)
CREATE TABLE PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId NUMBER)
CREATE TABLE Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount NUMBER)
CREATE TABLE PostsWithDeleted (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE VoteTypes (Id NUMBER, Name CLOB)
| Find newest comment by a user. | SELECT PostId AS "post_link", CreationDate FROM Comments WHERE UserId = @UserId ORDER BY CreationDate DESC LIMIT 5 | SELECT "PostId" AS "post_link", "CreationDate" FROM "Comments" WHERE "UserId" = @UserId ORDER BY "CreationDate" DESC FETCH FIRST 5 ROWS ONLY | 0.136719 |
CREATE TABLE table_64227 ("Rank" FLOAT, "Lane" FLOAT, "Athlete" CLOB, "Nationality" CLOB, "Time" FLOAT, "React" FLOAT)
| What is the total rank for the lane before 2? | SELECT SUM("Rank") FROM table_64227 WHERE "Lane" < '2' | SELECT SUM("Rank") FROM "table_64227" WHERE "Lane" < '2' | 0.054688 |
CREATE TABLE CloseReasonTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostTags (PostId NUMBER, TagId NUMBER)
CREATE TABLE ReviewTaskTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
CREATE TABLE Posts (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE ReviewTaskStates (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostsWithDeleted (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE 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 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 PostHistory (Id NUMBER, PostHistoryTypeId NUMBER, PostId NUMBER, RevisionGUID other, CreationDate TIME, UserId NUMBER, UserDisplayName CLOB, Comment CLOB, Text CLOB, ContentLicense CLOB)
CREATE TABLE ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId NUMBER)
CREATE TABLE SuggestedEditVotes (Id NUMBER, SuggestedEditId NUMBER, UserId NUMBER, VoteTypeId NUMBER, CreationDate TIME, TargetUserId NUMBER, TargetRepChange NUMBER)
CREATE TABLE FlagTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE CloseAsOffTopicReasonTypes (Id NUMBER, IsUniversal BOOLEAN, InputTitle CLOB, MarkdownInputGuidance CLOB, MarkdownPostOwnerGuidance CLOB, MarkdownPrivilegedUserGuidance CLOB, MarkdownConcensusDescription CLOB, CreationDate TIME, CreationModeratorId NUMBER, ApprovalDate TIME, ApprovalModeratorId NUMBER, DeactivationDate TIME, DeactivationModeratorId NUMBER)
CREATE TABLE Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount 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 ReviewTaskResultTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Comments (Id NUMBER, PostId NUMBER, Score NUMBER, Text CLOB, CreationDate TIME, UserDisplayName CLOB, UserId NUMBER, ContentLicense CLOB)
CREATE TABLE Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
CREATE TABLE PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId NUMBER)
CREATE TABLE PostHistoryTypes (Id NUMBER, Name CLOB)
CREATE TABLE PendingFlags (Id NUMBER, FlagTypeId NUMBER, PostId NUMBER, CreationDate TIME, CloseReasonTypeId NUMBER, CloseAsOffTopicReasonTypeId NUMBER, DuplicateOfQuestionId NUMBER, BelongsOnBaseHostAddress CLOB)
CREATE TABLE 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 VoteTypes (Id NUMBER, Name CLOB)
CREATE TABLE PostTypes (Id NUMBER, Name CLOB)
CREATE TABLE ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
CREATE TABLE ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment CLOB)
CREATE TABLE Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
| Rust questions asked before 1.0. | SELECT Posts.Id AS "post_link", Tags, CreationDate FROM Posts INNER JOIN PostTags ON PostTags.PostId = Posts.Id INNER JOIN Tags ON PostTags.TagId = Tags.Id WHERE CreationDate <= '2015-05-15' AND TagName = 'rust' ORDER BY CreationDate | SELECT "Posts"."Id" AS "post_link", "Tags", "CreationDate" FROM "Posts" JOIN "PostTags" ON "PostTags"."PostId" = "Posts"."Id" JOIN "Tags" ON "PostTags"."TagId" = "Tags"."Id" WHERE "CreationDate" <= '2015-05-15' AND "TagName" = 'rust' ORDER BY "CreationDate" | 0.250977 |
CREATE TABLE medication (medicationid NUMBER, patientunitstayid NUMBER, drugname CLOB, dosage CLOB, routeadmin CLOB, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE microlab (microlabid NUMBER, patientunitstayid NUMBER, culturesite CLOB, organism CLOB, culturetakentime TIME)
CREATE TABLE 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 cost (costid NUMBER, uniquepid CLOB, patienthealthsystemstayid NUMBER, eventtype CLOB, eventid NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE intakeoutput (intakeoutputid NUMBER, patientunitstayid NUMBER, cellpath CLOB, celllabel CLOB, cellvaluenumeric NUMBER, intakeoutputtime TIME)
CREATE TABLE treatment (treatmentid NUMBER, patientunitstayid NUMBER, treatmentname CLOB, treatmenttime TIME)
CREATE TABLE allergy (allergyid NUMBER, patientunitstayid NUMBER, drugname CLOB, allergyname CLOB, allergytime TIME)
CREATE TABLE lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime TIME)
CREATE TABLE 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)
| how many days have it been since the last time patient 006-195316 received antiplatelet agent - aspirin during their current hospital encounter? | SELECT 1 * (STRFTIME('%j', CURRENT_TIME()) - STRFTIME('%j', treatment.treatmenttime)) FROM treatment WHERE treatment.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '006-195316' AND patient.hospitaldischargetime IS NULL)) AND treatment.treatmentname = 'antiplatelet agent - aspirin' ORDER BY treatment.treatmenttime DESC LIMIT 1 | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."hospitaldischargetime" IS NULL AND "patient"."uniquepid" = '006-195316' 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 1 * (STRFTIME('%j', CURRENT_TIME()) - STRFTIME('%j', "treatment"."treatmenttime")) FROM "treatment" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "treatment"."patientunitstayid" WHERE "treatment"."treatmentname" = 'antiplatelet agent - aspirin' AND NOT "_u_1"."" IS NULL ORDER BY "treatment"."treatmenttime" DESC FETCH FIRST 1 ROWS ONLY | 0.720703 |
CREATE TABLE state (state_code CLOB, state_name CLOB, country_name CLOB)
CREATE TABLE code_description (code VARCHAR2, description CLOB)
CREATE TABLE airport_service (city_code VARCHAR2, airport_code VARCHAR2, miles_distant NUMBER, direction VARCHAR2, minutes_distant NUMBER)
CREATE TABLE date_day (month_number NUMBER, day_number NUMBER, year NUMBER, day_name VARCHAR2)
CREATE TABLE equipment_sequence (aircraft_code_sequence VARCHAR2, aircraft_code VARCHAR2)
CREATE TABLE flight_leg (flight_id NUMBER, leg_number NUMBER, leg_flight NUMBER)
CREATE TABLE aircraft (aircraft_code VARCHAR2, aircraft_description VARCHAR2, manufacturer VARCHAR2, basic_type VARCHAR2, engines NUMBER, propulsion VARCHAR2, wide_body VARCHAR2, wing_span NUMBER, length NUMBER, weight NUMBER, capacity NUMBER, pay_load NUMBER, cruising_speed NUMBER, range_miles NUMBER, pressurized VARCHAR2)
CREATE TABLE flight (aircraft_code_sequence CLOB, airline_code VARCHAR2, airline_flight CLOB, arrival_time NUMBER, connections NUMBER, departure_time NUMBER, dual_carrier CLOB, flight_days CLOB, flight_id NUMBER, flight_number NUMBER, from_airport VARCHAR2, meal_code CLOB, stops NUMBER, time_elapsed NUMBER, to_airport VARCHAR2)
CREATE TABLE flight_stop (flight_id NUMBER, stop_number NUMBER, stop_days CLOB, stop_airport CLOB, arrival_time NUMBER, arrival_airline CLOB, arrival_flight_number NUMBER, departure_time NUMBER, departure_airline CLOB, departure_flight_number NUMBER, stop_time NUMBER)
CREATE TABLE flight_fare (flight_id NUMBER, fare_id NUMBER)
CREATE TABLE dual_carrier (main_airline VARCHAR2, low_flight_number NUMBER, high_flight_number NUMBER, dual_airline VARCHAR2, service_name CLOB)
CREATE TABLE airline (airline_code VARCHAR2, airline_name CLOB, note CLOB)
CREATE TABLE fare_basis (fare_basis_code CLOB, booking_class CLOB, class_type CLOB, premium CLOB, economy CLOB, discounted CLOB, night CLOB, season CLOB, basis_days CLOB)
CREATE TABLE class_of_service (booking_class VARCHAR2, rank NUMBER, class_description CLOB)
CREATE TABLE food_service (meal_code CLOB, meal_number NUMBER, compartment CLOB, meal_description VARCHAR2)
CREATE TABLE time_interval (period CLOB, begin_time NUMBER, end_time NUMBER)
CREATE TABLE compartment_class (compartment VARCHAR2, class_type VARCHAR2)
CREATE TABLE days (days_code VARCHAR2, day_name VARCHAR2)
CREATE TABLE city (city_code VARCHAR2, city_name VARCHAR2, state_code VARCHAR2, country_name VARCHAR2, time_zone_code VARCHAR2)
CREATE TABLE fare (fare_id NUMBER, from_airport VARCHAR2, to_airport VARCHAR2, fare_basis_code CLOB, fare_airline CLOB, restriction_code CLOB, one_direction_cost NUMBER, round_trip_cost NUMBER, round_trip_required VARCHAR2)
CREATE TABLE month (month_number NUMBER, month_name CLOB)
CREATE TABLE time_zone (time_zone_code CLOB, time_zone_name CLOB, hours_from_gmt NUMBER)
CREATE TABLE ground_service (city_code CLOB, airport_code CLOB, transport_type CLOB, ground_fare NUMBER)
CREATE TABLE restriction (restriction_code CLOB, advance_purchase NUMBER, stopovers CLOB, saturday_stay_required CLOB, minimum_stay NUMBER, maximum_stay NUMBER, application CLOB, no_discounts CLOB)
CREATE TABLE airport (airport_code VARCHAR2, airport_name CLOB, airport_location CLOB, state_code VARCHAR2, country_name VARCHAR2, time_zone_code VARCHAR2, minimum_connect_time NUMBER)
| what is the cheapest round trip flight from DENVER to ATLANTA | SELECT DISTINCT flight.flight_id FROM airport_service AS AIRPORT_SERVICE_0, airport_service AS AIRPORT_SERVICE_1, city AS CITY_0, city AS CITY_1, fare, flight, flight_fare WHERE (CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'DENVER' AND CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'ATLANTA' AND flight.from_airport = AIRPORT_SERVICE_0.airport_code AND flight.to_airport = AIRPORT_SERVICE_1.airport_code) AND fare.round_trip_cost = (SELECT MIN(FAREalias1.round_trip_cost) FROM airport_service AS AIRPORT_SERVICEalias2, airport_service AS AIRPORT_SERVICEalias3, city AS CITYalias2, city AS CITYalias3, fare AS FAREalias1, flight AS FLIGHTalias1, flight_fare AS FLIGHT_FAREalias1 WHERE CITYalias2.city_code = AIRPORT_SERVICEalias2.city_code AND CITYalias2.city_name = 'DENVER' AND CITYalias3.city_code = AIRPORT_SERVICEalias3.city_code AND CITYalias3.city_name = 'ATLANTA' AND FLIGHT_FAREalias1.fare_id = FAREalias1.fare_id AND FLIGHTalias1.flight_id = FLIGHT_FAREalias1.flight_id AND FLIGHTalias1.from_airport = AIRPORT_SERVICEalias2.airport_code AND FLIGHTalias1.to_airport = AIRPORT_SERVICEalias3.airport_code) AND flight_fare.fare_id = fare.fare_id AND flight.flight_id = flight_fare.flight_id | WITH "_u_0" AS (SELECT MIN("FAREalias1"."round_trip_cost") FROM "airport_service" "AIRPORT_SERVICEalias2" JOIN "city" "CITYalias2" ON "AIRPORT_SERVICEalias2"."city_code" = "CITYalias2"."city_code" AND "CITYalias2"."city_name" = 'DENVER' JOIN "flight" "FLIGHTalias1" ON "AIRPORT_SERVICEalias2"."airport_code" = "FLIGHTalias1"."from_airport" JOIN "airport_service" "AIRPORT_SERVICEalias3" ON "AIRPORT_SERVICEalias3"."airport_code" = "FLIGHTalias1"."to_airport" JOIN "flight_fare" "FLIGHT_FAREalias1" ON "FLIGHT_FAREalias1"."flight_id" = "FLIGHTalias1"."flight_id" JOIN "city" "CITYalias3" ON "AIRPORT_SERVICEalias3"."city_code" = "CITYalias3"."city_code" AND "CITYalias3"."city_name" = 'ATLANTA' JOIN "fare" "FAREalias1" ON "FAREalias1"."fare_id" = "FLIGHT_FAREalias1"."fare_id") SELECT DISTINCT "flight"."flight_id" FROM "airport_service" "AIRPORT_SERVICE_0" JOIN "city" "CITY_0" ON "AIRPORT_SERVICE_0"."city_code" = "CITY_0"."city_code" AND "CITY_0"."city_name" = 'DENVER' JOIN "flight" ON "AIRPORT_SERVICE_0"."airport_code" = "flight"."from_airport" JOIN "airport_service" "AIRPORT_SERVICE_1" ON "AIRPORT_SERVICE_1"."airport_code" = "flight"."to_airport" JOIN "flight_fare" ON "flight"."flight_id" = "flight_fare"."flight_id" JOIN "city" "CITY_1" ON "AIRPORT_SERVICE_1"."city_code" = "CITY_1"."city_code" AND "CITY_1"."city_name" = 'ATLANTA' JOIN "fare" ON "fare"."fare_id" = "flight_fare"."fare_id" JOIN "_u_0" "_u_0" ON "_u_0"."" = "fare"."round_trip_cost" | 1.424805 |
CREATE TABLE table_name_86 (record VARCHAR2, method VARCHAR2, location VARCHAR2)
| What is the record when the method is decision and the location is Martigues, France? | SELECT record FROM table_name_86 WHERE method = "decision" AND location = "martigues, france" | SELECT "record" FROM "table_name_86" WHERE "decision" = "method" AND "location" = "martigues, france" | 0.098633 |
CREATE TABLE admissions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, admittime TIME, dischtime TIME, admission_type CLOB, admission_location CLOB, discharge_location CLOB, insurance CLOB, language CLOB, marital_status CLOB, ethnicity CLOB, age NUMBER)
CREATE TABLE microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
CREATE TABLE 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 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 diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE 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 transfers (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, eventtype CLOB, careunit CLOB, wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
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 d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
CREATE TABLE icustays (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, first_careunit CLOB, last_careunit CLOB, first_wardid NUMBER, last_wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
| when was the last time that patient 57050 had the urine out foley output on the current intensive care unit visit? | SELECT outputevents.charttime FROM outputevents WHERE outputevents.icustay_id IN (SELECT icustays.icustay_id FROM icustays WHERE icustays.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 57050) AND icustays.outtime IS NULL) AND outputevents.itemid IN (SELECT d_items.itemid FROM d_items WHERE d_items.label = 'urine out foley' AND d_items.linksto = 'outputevents') ORDER BY outputevents.charttime DESC LIMIT 1 | WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 57050 GROUP BY "hadm_id"), "_u_1" AS (SELECT "icustays"."icustay_id" FROM "icustays" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "icustays"."hadm_id" WHERE "icustays"."outtime" IS NULL AND NOT "_u_0"."" IS NULL GROUP BY "icustay_id"), "_u_2" AS (SELECT "d_items"."itemid" FROM "d_items" WHERE "d_items"."label" = 'urine out foley' AND "d_items"."linksto" = 'outputevents' GROUP BY "itemid") SELECT "outputevents"."charttime" FROM "outputevents" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "outputevents"."icustay_id" LEFT JOIN "_u_2" "_u_2" ON "_u_2"."" = "outputevents"."itemid" WHERE NOT "_u_1"."" IS NULL AND NOT "_u_2"."" IS NULL ORDER BY "outputevents"."charttime" DESC FETCH FIRST 1 ROWS ONLY | 0.767578 |
CREATE TABLE table_9479 ("Poll Source" CLOB, "Sample Size" FLOAT, "Margin of Error" FLOAT, "Date" CLOB, "Democrat" CLOB, "Republican" CLOB)
| What was the sample size for the poll from Nov 9-11, 2007 with a margin of error less than 4.3? | SELECT MAX("Sample Size") FROM table_9479 WHERE "Date" = 'nov 9-11, 2007' AND "Margin of Error" < '4.3' | SELECT MAX("Sample Size") FROM "table_9479" WHERE "Date" = 'nov 9-11, 2007' AND "Margin of Error" < '4.3' | 0.102539 |
CREATE TABLE table_77660 ("Rank by average" FLOAT, "Place" FLOAT, "Couple" CLOB, "Total" FLOAT, "Number of dances" FLOAT, "Average" FLOAT)
| What is the smallest place number when the total is 16 and average is less than 16? | SELECT MIN("Place") FROM table_77660 WHERE "Total" = '16' AND "Average" < '16' | SELECT MIN("Place") FROM "table_77660" WHERE "Average" < '16' AND "Total" = '16' | 0.078125 |
CREATE TABLE Services (service_id NUMBER, organization_id NUMBER, service_type_code CHAR, service_details VARCHAR2)
CREATE TABLE Things (thing_id NUMBER, organization_id NUMBER, Type_of_Thing_Code CHAR, service_type_code CHAR, service_details VARCHAR2)
CREATE TABLE Residents (resident_id NUMBER, property_id NUMBER, date_moved_in DATETIME, date_moved_out DATETIME, other_details VARCHAR2)
CREATE TABLE Timed_Locations_of_Things (thing_id NUMBER, Date_and_Time DATETIME, Location_Code CHAR)
CREATE TABLE Customer_Events (Customer_Event_ID NUMBER, customer_id NUMBER, date_moved_in DATETIME, property_id NUMBER, resident_id NUMBER, thing_id NUMBER)
CREATE TABLE Customer_Event_Notes (Customer_Event_Note_ID NUMBER, Customer_Event_ID NUMBER, service_type_code CHAR, resident_id NUMBER, property_id NUMBER, date_moved_in DATETIME)
CREATE TABLE Properties (property_id NUMBER, property_type_code CHAR, property_address VARCHAR2, other_details VARCHAR2)
CREATE TABLE Customers (customer_id NUMBER, customer_details VARCHAR2)
CREATE TABLE Organizations (organization_id NUMBER, parent_organization_id NUMBER, organization_details VARCHAR2)
CREATE TABLE Timed_Status_of_Things (thing_id NUMBER, Date_and_Date DATETIME, Status_of_Thing_Code CHAR)
CREATE TABLE Residents_Services (resident_id NUMBER, service_id NUMBER, date_moved_in DATETIME, property_id NUMBER, date_requested DATETIME, date_provided DATETIME, other_details VARCHAR2)
| Give me a stacked bar chart to show how many things in different types of each thing, and the details of the organization that owns it, list by the total number in asc. | SELECT Type_of_Thing_Code, COUNT(Type_of_Thing_Code) FROM Things AS T1 JOIN Organizations AS T2 ON T1.organization_id = T2.organization_id GROUP BY organization_details, Type_of_Thing_Code ORDER BY COUNT(Type_of_Thing_Code) | SELECT "Type_of_Thing_Code", COUNT("Type_of_Thing_Code") FROM "Things" "T1" JOIN "Organizations" "T2" ON "T1"."organization_id" = "T2"."organization_id" GROUP BY "organization_details", "Type_of_Thing_Code" ORDER BY COUNT("Type_of_Thing_Code") | 0.237305 |
CREATE TABLE table_dev_19 ("id" NUMBER, "glucagon_stimulated_c_peptide" FLOAT, "c_peptide_level" FLOAT, "hemoglobin_a1c_hba1c" FLOAT, "diabetic" CLOB, "hyperlipidemia" BOOLEAN, "creatinine_clearance_cl" FLOAT, "total_cholesterol" NUMBER, "stimulated_c_peptide" FLOAT, "smoking" BOOLEAN, "insulin_requirement" FLOAT, "diabetes" BOOLEAN, "albumin_excretion" NUMBER, "ldl" NUMBER, "treatment" BOOLEAN, "serum_creatinine" FLOAT, "alcohol_abuse" BOOLEAN, "renal_transplantation" BOOLEAN, "triglyceride_tg" FLOAT, "negative_basal" BOOLEAN, "NOUSE" FLOAT)
| hyperlipidemia ( total cholesterol > 260 mg / dl, ldl > 130 mg / dl, and / or triglycerides > 300 mg / dl ) despite appropriate treatment. | SELECT * FROM table_dev_19 WHERE hyperlipidemia = 1 OR (total_cholesterol > 260 AND ldl > 130 AND triglyceride_tg > 300) AND treatment = 1 | SELECT * FROM "table_dev_19" WHERE ("hyperlipidemia" = 1 OR "ldl" > 130) AND ("hyperlipidemia" = 1 OR "total_cholesterol" > 260) AND ("hyperlipidemia" = 1 OR "triglyceride_tg" > 300) AND "treatment" = 1 | 0.197266 |
CREATE TABLE table_51151 ("Tribunal" CLOB, "Number of autos da f\\u00e9 with known sentences" CLOB, "Executions in persona" CLOB, "Executions in effigie" CLOB, "Penanced" CLOB, "Total" CLOB)
| How man executions in effigie took place at the Lamego tribunal? | SELECT "Executions in effigie" FROM table_51151 WHERE "Tribunal" = 'lamego' | SELECT "Executions in effigie" FROM "table_51151" WHERE "Tribunal" = 'lamego' | 0.075195 |
CREATE TABLE table_13148 ("Place" CLOB, "Player" CLOB, "Country" CLOB, "Score" CLOB, "To par" FLOAT, "Money ( $ ) " CLOB)
| Which player has $450 and a score of 76-74-74-72=296? | SELECT "Player" FROM table_13148 WHERE "Money ( $ )" = '450' AND "Score" = '76-74-74-72=296' | SELECT "Player" FROM "table_13148" WHERE "Money ( $ )" = '450' AND "Score" = '76-74-74-72=296' | 0.091797 |
CREATE TABLE furniture (market_rate NUMBER)
| find the total market rate of the furnitures that have the top 2 market shares. | SELECT SUM(market_rate) FROM furniture ORDER BY market_rate DESC LIMIT 2 | SELECT SUM("market_rate") FROM "furniture" ORDER BY "market_rate" DESC FETCH FIRST 2 ROWS ONLY | 0.091797 |
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE 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)
| what is the number of patients whose admission type is emergency and drug route is iv? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.admission_type = "EMERGENCY" AND prescriptions.route = "IV" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "prescriptions" ON "IV" = "prescriptions"."route" AND "demographic"."hadm_id" = "prescriptions"."hadm_id" WHERE "EMERGENCY" = "demographic"."admission_type" | 0.224609 |
CREATE TABLE table_62599 ("Year" FLOAT, "Award Ceremony" CLOB, "Category" CLOB, "Nominee" CLOB, "Result" CLOB)
| What was the result of Declan Donnellan's nomination? | SELECT "Result" FROM table_62599 WHERE "Nominee" = 'declan donnellan' | SELECT "Result" FROM "table_62599" WHERE "Nominee" = 'declan donnellan' | 0.069336 |
CREATE TABLE table_55548 ("Home team" CLOB, "Home team score" CLOB, "Away team" CLOB, "Away team score" CLOB, "Venue" CLOB, "Crowd" FLOAT, "Date" CLOB)
| How many were in attendance when the away team scored 8.13 (61)? | SELECT SUM("Crowd") FROM table_55548 WHERE "Away team score" = '8.13 (61)' | SELECT SUM("Crowd") FROM "table_55548" WHERE "Away team score" = '8.13 (61)' | 0.074219 |
CREATE TABLE actor (actor_id NUMBER, name CLOB, musical_id NUMBER, character CLOB, duration CLOB, age NUMBER)
CREATE TABLE musical (musical_id NUMBER, name CLOB, year NUMBER, award CLOB, category CLOB, nominee CLOB, result CLOB)
| Return the characters for actors, ordered by age descending. | SELECT character FROM actor ORDER BY age DESC | SELECT "character" FROM "actor" ORDER BY "age" DESC | 0.049805 |
CREATE TABLE table_45135 ("Res." CLOB, "Record" CLOB, "Opponent" CLOB, "Method" CLOB, "Event" CLOB, "Round" FLOAT, "Location" CLOB)
| What event had a tko (punches) method and jason macdonald as the opponent? | SELECT "Event" FROM table_45135 WHERE "Method" = 'tko (punches)' AND "Opponent" = 'jason macdonald' | SELECT "Event" FROM "table_45135" WHERE "Method" = 'tko (punches)' AND "Opponent" = 'jason macdonald' | 0.098633 |
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE 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)
| provide the number of patients whose insurance is private and diagnosis short title is prolif diab retinopathy. | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.insurance = "Private" AND diagnoses.short_title = "Prolif diab retinopathy" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "Prolif diab retinopathy" = "diagnoses"."short_title" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" WHERE "Private" = "demographic"."insurance" | 0.232422 |
CREATE TABLE admissions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, admittime TIME, dischtime TIME, admission_type CLOB, admission_location CLOB, discharge_location CLOB, insurance CLOB, language CLOB, marital_status CLOB, ethnicity CLOB, age NUMBER)
CREATE TABLE transfers (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, eventtype CLOB, careunit CLOB, wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE icustays (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, first_careunit CLOB, last_careunit CLOB, first_wardid NUMBER, last_wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom 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 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 patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
CREATE TABLE prescriptions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, startdate TIME, enddate TIME, drug CLOB, dose_val_rx CLOB, dose_unit_rx CLOB, route CLOB)
CREATE TABLE 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 labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
CREATE TABLE procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
| what is the minimum number of patients diagnosed with abn react-artif implant daily until 3 years ago? | SELECT MIN(t1.c1) FROM (SELECT COUNT(DISTINCT diagnoses_icd.hadm_id) AS c1 FROM diagnoses_icd WHERE diagnoses_icd.icd9_code = (SELECT d_icd_diagnoses.icd9_code FROM d_icd_diagnoses WHERE d_icd_diagnoses.short_title = 'abn react-artif implant') AND DATETIME(diagnoses_icd.charttime) <= DATETIME(CURRENT_TIME(), '-3 year') GROUP BY STRFTIME('%y-%m-%d', diagnoses_icd.charttime)) AS t1 | WITH "t1" AS (SELECT COUNT(DISTINCT "diagnoses_icd"."hadm_id") AS "c1" FROM "diagnoses_icd" JOIN "d_icd_diagnoses" ON "d_icd_diagnoses"."icd9_code" = "diagnoses_icd"."icd9_code" AND "d_icd_diagnoses"."short_title" = 'abn react-artif implant' WHERE DATETIME("diagnoses_icd"."charttime") <= DATETIME(CURRENT_TIME(), '-3 year') GROUP BY STRFTIME('%y-%m-%d', "diagnoses_icd"."charttime")) SELECT MIN("t1"."c1") FROM "t1" "t1" | 0.411133 |
CREATE TABLE table_37442 ("School Year" CLOB, "Class A" CLOB, "Class AA" CLOB, "Class AAA" CLOB, "Class AAAA" CLOB, "Class AAAAA" CLOB)
| Name the class AA with class A of rule and school year of 1995-96 | SELECT "Class AA" FROM table_37442 WHERE "Class A" = 'rule' AND "School Year" = '1995-96' | SELECT "Class AA" FROM "table_37442" WHERE "Class A" = 'rule' AND "School Year" = '1995-96' | 0.088867 |
CREATE TABLE table_28615 ("#" FLOAT, "Player" CLOB, "Points" FLOAT, "Rebounds" FLOAT, "Assists" FLOAT, "Opponent" CLOB, "Date" CLOB)
| List the number of recovers for player #2. | SELECT "Rebounds" FROM table_28615 WHERE "#" = '2' | SELECT "Rebounds" FROM "table_28615" WHERE "#" = '2' | 0.050781 |
CREATE TABLE table_10284385_1 (representative VARCHAR2, date_of_birth VARCHAR2)
| Which representative has a birthday of January 31, 1866? | SELECT representative FROM table_10284385_1 WHERE date_of_birth = "January 31, 1866" | SELECT "representative" FROM "table_10284385_1" WHERE "January 31, 1866" = "date_of_birth" | 0.087891 |
CREATE TABLE table_26085 ("Rank" FLOAT, "Rider" CLOB, "Mon 24 Aug" CLOB, "Tues 25 Aug" CLOB, "Wed 26 Aug" CLOB, "Thurs 27 Aug" CLOB, "Fri 28 Aug" CLOB, "Sat 29 Aug" CLOB)
| What time was achieved on Saturday 29th August by the rider who recorded 24' 17.26 93.208mph on Monday 24th August? | SELECT "Sat 29 Aug" FROM table_26085 WHERE "Mon 24 Aug" = '24'' 17.26 93.208mph' | SELECT "Sat 29 Aug" FROM "table_26085" WHERE "Mon 24 Aug" = '24'' 17.26 93.208mph' | 0.080078 |
CREATE TABLE table_2701625_1 (male_rank VARCHAR2, country VARCHAR2)
| Name the total number of male rank for fiji | SELECT COUNT(male_rank) FROM table_2701625_1 WHERE country = "Fiji" | SELECT COUNT("male_rank") FROM "table_2701625_1" WHERE "Fiji" = "country" | 0.071289 |
CREATE TABLE classification (id NUMBER, msid NUMBER, gid NUMBER)
CREATE TABLE cast (id NUMBER, msid NUMBER, aid NUMBER, role CLOB)
CREATE TABLE directed_by (id NUMBER, msid NUMBER, did NUMBER)
CREATE TABLE company (id NUMBER, name CLOB, country_code VARCHAR2)
CREATE TABLE genre (gid NUMBER, genre CLOB)
CREATE TABLE producer (pid NUMBER, gender CLOB, name CLOB, nationality CLOB, birth_city CLOB, birth_year NUMBER)
CREATE TABLE keyword (id NUMBER, keyword CLOB)
CREATE TABLE writer (wid NUMBER, gender CLOB, name CLOB, nationality CLOB, birth_city CLOB, birth_year NUMBER)
CREATE TABLE tv_series (sid NUMBER, title CLOB, release_year NUMBER, num_of_seasons NUMBER, num_of_episodes NUMBER, title_aka CLOB, budget CLOB)
CREATE TABLE actor (aid NUMBER, gender CLOB, name CLOB, nationality CLOB, birth_city CLOB, birth_year NUMBER)
CREATE TABLE director (did NUMBER, gender CLOB, name CLOB, nationality CLOB, birth_city CLOB, birth_year NUMBER)
CREATE TABLE movie (mid NUMBER, title CLOB, release_year NUMBER, title_aka CLOB, budget CLOB)
CREATE TABLE tags (id NUMBER, msid NUMBER, kid NUMBER)
CREATE TABLE made_by (id NUMBER, msid NUMBER, pid NUMBER)
CREATE TABLE copyright (id NUMBER, msid NUMBER, cid NUMBER)
CREATE TABLE written_by (id NUMBER, msid NUMBER, wid NUMBER)
| What is the number of movies directed by ' Woody Allen ' per year ? | SELECT COUNT(DISTINCT (movie.title)), movie.release_year FROM directed_by, director, movie WHERE director.did = directed_by.did AND director.name = 'Woody Allen' AND movie.mid = directed_by.msid GROUP BY movie.release_year | SELECT COUNT(DISTINCT "movie"."title"), "movie"."release_year" FROM "directed_by" JOIN "director" ON "directed_by"."did" = "director"."did" AND "director"."name" = 'Woody Allen' JOIN "movie" ON "directed_by"."msid" = "movie"."mid" GROUP BY "movie"."release_year" | 0.255859 |
CREATE TABLE table_8652 ("Event" CLOB, "PDT ( -7 UTC ) " CLOB, "MDT ( -6 UTC ) " CLOB, "CDT ( -5 UTC ) " CLOB, "EDT ( -4 UTC ) " CLOB)
| What time is CDT when EDT is 4:55 a.m.? | SELECT "CDT (-5 UTC)" FROM table_8652 WHERE "EDT (-4 UTC)" = '4:55 a.m.' | SELECT "CDT (-5 UTC)" FROM "table_8652" WHERE "EDT (-4 UTC)" = '4:55 a.m.' | 0.072266 |
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 outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
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 diagnoses_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 cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE admissions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, admittime TIME, dischtime TIME, admission_type CLOB, admission_location CLOB, discharge_location CLOB, insurance CLOB, language CLOB, marital_status CLOB, ethnicity CLOB, age NUMBER)
CREATE TABLE prescriptions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, startdate TIME, enddate TIME, drug CLOB, dose_val_rx CLOB, dose_unit_rx CLOB, route CLOB)
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
CREATE TABLE 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 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_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
CREATE TABLE transfers (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, eventtype CLOB, careunit CLOB, wardid NUMBER, intime TIME, outtime TIME)
| how much does the price mean for a inject/infuse nec? | SELECT DISTINCT cost.cost FROM cost WHERE cost.event_type = 'procedures_icd' AND cost.event_id IN (SELECT procedures_icd.row_id FROM procedures_icd WHERE procedures_icd.icd9_code = (SELECT d_icd_procedures.icd9_code FROM d_icd_procedures WHERE d_icd_procedures.short_title = 'inject/infuse nec')) | WITH "_u_1" AS (SELECT "procedures_icd"."row_id" FROM "procedures_icd" JOIN "d_icd_procedures" ON "d_icd_procedures"."icd9_code" = "procedures_icd"."icd9_code" AND "d_icd_procedures"."short_title" = 'inject/infuse nec' GROUP BY "row_id") SELECT DISTINCT "cost"."cost" FROM "cost" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "cost"."event_id" WHERE "cost"."event_type" = 'procedures_icd' AND NOT "_u_1"."" IS NULL | 0.397461 |
CREATE TABLE employees (EMPLOYEE_ID NUMBER, FIRST_NAME VARCHAR2, LAST_NAME VARCHAR2, EMAIL VARCHAR2, PHONE_NUMBER VARCHAR2, HIRE_DATE DATE, JOB_ID VARCHAR2, SALARY NUMBER, COMMISSION_PCT NUMBER, MANAGER_ID NUMBER, DEPARTMENT_ID NUMBER)
CREATE TABLE locations (LOCATION_ID NUMBER, STREET_ADDRESS VARCHAR2, POSTAL_CODE VARCHAR2, CITY VARCHAR2, STATE_PROVINCE VARCHAR2, COUNTRY_ID VARCHAR2)
CREATE TABLE countries (COUNTRY_ID VARCHAR2, COUNTRY_NAME VARCHAR2, REGION_ID NUMBER)
CREATE TABLE job_history (EMPLOYEE_ID NUMBER, START_DATE DATE, END_DATE DATE, JOB_ID VARCHAR2, DEPARTMENT_ID NUMBER)
CREATE TABLE jobs (JOB_ID VARCHAR2, JOB_TITLE VARCHAR2, MIN_SALARY NUMBER, MAX_SALARY NUMBER)
CREATE TABLE regions (REGION_ID NUMBER, REGION_NAME VARCHAR2)
CREATE TABLE departments (DEPARTMENT_ID NUMBER, DEPARTMENT_NAME VARCHAR2, MANAGER_ID NUMBER, LOCATION_ID NUMBER)
| For those employees whose salary is in the range of 8000 and 12000 and commission is not null or department number does not equal to 40, a bar chart shows the distribution of hire_date and the average of manager_id bin hire_date by time, and order by the Y in asc. | SELECT HIRE_DATE, AVG(MANAGER_ID) FROM employees WHERE SALARY BETWEEN 8000 AND 12000 AND COMMISSION_PCT <> "null" OR DEPARTMENT_ID <> 40 ORDER BY AVG(MANAGER_ID) | SELECT "HIRE_DATE", AVG("MANAGER_ID") FROM "employees" WHERE ("COMMISSION_PCT" <> "null" OR "DEPARTMENT_ID" <> 40) AND ("DEPARTMENT_ID" <> 40 OR "SALARY" <= 12000) AND ("DEPARTMENT_ID" <> 40 OR "SALARY" >= 8000) ORDER BY AVG("MANAGER_ID") | 0.232422 |
CREATE TABLE table_2538117_5 (type VARCHAR2, letters VARCHAR2)
| What type is ? | SELECT type FROM table_2538117_5 WHERE letters = "ΣΑΕΠ" | SELECT "type" FROM "table_2538117_5" WHERE "letters" = "ΣΑΕΠ" | 0.05957 |
CREATE TABLE table_67862 ("Player" CLOB, "Rank" FLOAT, "Event" CLOB, "Surface" CLOB, "Score" CLOB)
| What was the score of the match played on hard with a person ranked 10? | SELECT "Score" FROM table_67862 WHERE "Surface" = 'hard' AND "Rank" = '10' | SELECT "Score" FROM "table_67862" WHERE "Rank" = '10' AND "Surface" = 'hard' | 0.074219 |
CREATE TABLE table_203_325 (id NUMBER, "year" NUMBER, "title" CLOB, " ( english ) " CLOB, "ifpi israel certification" CLOB, "label" CLOB)
| what album came out in the year previous to the album ofa'a haia ? | SELECT "title" FROM table_203_325 WHERE "year" = (SELECT "year" FROM table_203_325 WHERE "title" = "ofa'a haia") - 1 | SELECT "title" FROM "table_203_325" WHERE "year" = (SELECT "year" FROM "table_203_325" WHERE "ofa'a haia" = "title") - 1 | 0.117188 |
CREATE TABLE table_11727969_1 (species_in_the_peruvian_amazon VARCHAR2, species_in_the_world VARCHAR2)
| what's the total number of species in the peruvian amazon with 8411 species in the world | SELECT COUNT(species_in_the_peruvian_amazon) FROM table_11727969_1 WHERE species_in_the_world = 8411 | SELECT COUNT("species_in_the_peruvian_amazon") FROM "table_11727969_1" WHERE "species_in_the_world" = 8411 | 0.103516 |
CREATE TABLE table_name_28 (entrant VARCHAR2, year VARCHAR2, points VARCHAR2)
| What entrant had less than 3 points before 1963? | SELECT entrant FROM table_name_28 WHERE year < 1963 AND points < 3 | SELECT "entrant" FROM "table_name_28" WHERE "points" < 3 AND "year" < 1963 | 0.072266 |
CREATE TABLE table_name_39 (championship VARCHAR2, circuit VARCHAR2)
| Which championship had a Circuit of le mans? | SELECT championship FROM table_name_39 WHERE circuit = "le mans" | SELECT "championship" FROM "table_name_39" WHERE "circuit" = "le mans" | 0.068359 |
CREATE TABLE table_45731 ("Outcome" CLOB, "Date" CLOB, "Tournament" CLOB, "Surface" CLOB, "Partner" CLOB, "Opponents in the final" CLOB, "Score in the final" CLOB)
| Name the Score which has a Partner of jorge lozano, an Outcome of runner-up, and Opponents in the final of udo riglewski michael stich? | SELECT "Score in the final" FROM table_45731 WHERE "Partner" = 'jorge lozano' AND "Outcome" = 'runner-up' AND "Opponents in the final" = 'udo riglewski michael stich' | SELECT "Score in the final" FROM "table_45731" WHERE "Opponents in the final" = 'udo riglewski michael stich' AND "Outcome" = 'runner-up' AND "Partner" = 'jorge lozano' | 0.164063 |
CREATE TABLE area (course_id NUMBER, area VARCHAR2)
CREATE TABLE ta (campus_job_id NUMBER, student_id NUMBER, location VARCHAR2)
CREATE TABLE course (course_id NUMBER, name VARCHAR2, department VARCHAR2, number VARCHAR2, credits VARCHAR2, advisory_requirement VARCHAR2, enforced_requirement VARCHAR2, description VARCHAR2, num_semesters NUMBER, num_enrolled NUMBER, has_discussion VARCHAR2, has_lab VARCHAR2, has_projects VARCHAR2, has_exams VARCHAR2, num_reviews NUMBER, clarity_score NUMBER, easiness_score NUMBER, helpfulness_score NUMBER)
CREATE TABLE course_tags_count (course_id NUMBER, clear_grading NUMBER, pop_quiz NUMBER, group_projects NUMBER, inspirational NUMBER, long_lectures NUMBER, extra_credit NUMBER, few_tests NUMBER, good_feedback NUMBER, tough_tests NUMBER, heavy_papers NUMBER, cares_for_students NUMBER, heavy_assignments NUMBER, respected NUMBER, participation NUMBER, heavy_reading NUMBER, tough_grader NUMBER, hilarious NUMBER, would_take_again NUMBER, good_lecture NUMBER, no_skip NUMBER)
CREATE TABLE semester (semester_id NUMBER, semester VARCHAR2, year NUMBER)
CREATE TABLE program (program_id NUMBER, name VARCHAR2, college VARCHAR2, introduction VARCHAR2)
CREATE TABLE student_record (student_id NUMBER, course_id NUMBER, semester NUMBER, grade VARCHAR2, how VARCHAR2, transfer_source VARCHAR2, earn_credit VARCHAR2, repeat_term VARCHAR2, test_id VARCHAR2)
CREATE TABLE requirement (requirement_id NUMBER, requirement VARCHAR2, college VARCHAR2)
CREATE TABLE jobs (job_id NUMBER, job_title VARCHAR2, description VARCHAR2, requirement VARCHAR2, city VARCHAR2, state VARCHAR2, country VARCHAR2, zip NUMBER)
CREATE TABLE program_course (program_id NUMBER, course_id NUMBER, workload NUMBER, category VARCHAR2)
CREATE TABLE course_prerequisite (pre_course_id NUMBER, course_id NUMBER)
CREATE TABLE instructor (instructor_id NUMBER, name VARCHAR2, uniqname VARCHAR2)
CREATE TABLE course_offering (offering_id NUMBER, course_id NUMBER, semester NUMBER, section_number NUMBER, start_time TIME, end_time TIME, monday VARCHAR2, tuesday VARCHAR2, wednesday VARCHAR2, thursday VARCHAR2, friday VARCHAR2, saturday VARCHAR2, sunday VARCHAR2, has_final_project VARCHAR2, has_final_exam VARCHAR2, textbook VARCHAR2, class_address VARCHAR2, allow_audit VARCHAR2)
CREATE TABLE comment_instructor (instructor_id NUMBER, student_id NUMBER, score NUMBER, comment_text VARCHAR2)
CREATE TABLE student (student_id NUMBER, lastname VARCHAR2, firstname VARCHAR2, program_id NUMBER, declare_major VARCHAR2, total_credit NUMBER, total_gpa FLOAT, entered_as VARCHAR2, admit_term NUMBER, predicted_graduation_semester NUMBER, degree VARCHAR2, minor VARCHAR2, internship VARCHAR2)
CREATE TABLE gsi (course_offering_id NUMBER, student_id NUMBER)
CREATE TABLE offering_instructor (offering_instructor_id NUMBER, offering_id NUMBER, instructor_id NUMBER)
CREATE TABLE program_requirement (program_id NUMBER, category VARCHAR2, min_credit NUMBER, additional_req VARCHAR2)
| Name the teacher who teach 480 other than Prof. Pablo Bravo . | SELECT DISTINCT instructor.name FROM course, course_offering, instructor, offering_instructor WHERE course.course_id = course_offering.course_id AND course.department = 'EECS' AND course.number = 480 AND NOT instructor.name LIKE '%Pablo Bravo%' AND offering_instructor.instructor_id = instructor.instructor_id AND offering_instructor.offering_id = course_offering.offering_id | SELECT DISTINCT "instructor"."name" FROM "course" JOIN "course_offering" ON "course"."course_id" = "course_offering"."course_id" JOIN "offering_instructor" ON "course_offering"."offering_id" = "offering_instructor"."offering_id" JOIN "instructor" ON "instructor"."instructor_id" = "offering_instructor"."instructor_id" AND NOT "instructor"."name" LIKE '%Pablo Bravo%' WHERE "course"."department" = 'EECS' AND "course"."number" = 480 | 0.421875 |
CREATE TABLE table_name_29 (date VARCHAR2, visitor VARCHAR2)
| Name the date when the visitor is nets | SELECT date FROM table_name_29 WHERE visitor = "nets" | SELECT "date" FROM "table_name_29" WHERE "nets" = "visitor" | 0.057617 |
CREATE TABLE table_40362 ("Round" CLOB, "Opposition" CLOB, "First leg" CLOB, "Second leg" CLOB, "Aggregate score" CLOB)
| What was the aggregate score for the game against Dynamo Dresden? | SELECT "Aggregate score" FROM table_40362 WHERE "Opposition" = 'dynamo dresden' | SELECT "Aggregate score" FROM "table_40362" WHERE "Opposition" = 'dynamo dresden' | 0.079102 |
CREATE TABLE code_description (code VARCHAR2, description CLOB)
CREATE TABLE city (city_code VARCHAR2, city_name VARCHAR2, state_code VARCHAR2, country_name VARCHAR2, time_zone_code VARCHAR2)
CREATE TABLE flight_stop (flight_id NUMBER, stop_number NUMBER, stop_days CLOB, stop_airport CLOB, arrival_time NUMBER, arrival_airline CLOB, arrival_flight_number NUMBER, departure_time NUMBER, departure_airline CLOB, departure_flight_number NUMBER, stop_time NUMBER)
CREATE TABLE food_service (meal_code CLOB, meal_number NUMBER, compartment CLOB, meal_description VARCHAR2)
CREATE TABLE month (month_number NUMBER, month_name CLOB)
CREATE TABLE state (state_code CLOB, state_name CLOB, country_name CLOB)
CREATE TABLE date_day (month_number NUMBER, day_number NUMBER, year NUMBER, day_name VARCHAR2)
CREATE TABLE ground_service (city_code CLOB, airport_code CLOB, transport_type CLOB, ground_fare NUMBER)
CREATE TABLE dual_carrier (main_airline VARCHAR2, low_flight_number NUMBER, high_flight_number NUMBER, dual_airline VARCHAR2, service_name CLOB)
CREATE TABLE flight_leg (flight_id NUMBER, leg_number NUMBER, leg_flight NUMBER)
CREATE TABLE flight (aircraft_code_sequence CLOB, airline_code VARCHAR2, airline_flight CLOB, arrival_time NUMBER, connections NUMBER, departure_time NUMBER, dual_carrier CLOB, flight_days CLOB, flight_id NUMBER, flight_number NUMBER, from_airport VARCHAR2, meal_code CLOB, stops NUMBER, time_elapsed NUMBER, to_airport VARCHAR2)
CREATE TABLE airline (airline_code VARCHAR2, airline_name CLOB, note CLOB)
CREATE TABLE time_interval (period CLOB, begin_time NUMBER, end_time NUMBER)
CREATE TABLE compartment_class (compartment VARCHAR2, class_type VARCHAR2)
CREATE TABLE days (days_code VARCHAR2, day_name VARCHAR2)
CREATE TABLE fare_basis (fare_basis_code CLOB, booking_class CLOB, class_type CLOB, premium CLOB, economy CLOB, discounted CLOB, night CLOB, season CLOB, basis_days CLOB)
CREATE TABLE flight_fare (flight_id NUMBER, fare_id NUMBER)
CREATE TABLE class_of_service (booking_class VARCHAR2, rank NUMBER, class_description CLOB)
CREATE TABLE equipment_sequence (aircraft_code_sequence VARCHAR2, aircraft_code VARCHAR2)
CREATE TABLE time_zone (time_zone_code CLOB, time_zone_name CLOB, hours_from_gmt NUMBER)
CREATE TABLE restriction (restriction_code CLOB, advance_purchase NUMBER, stopovers CLOB, saturday_stay_required CLOB, minimum_stay NUMBER, maximum_stay NUMBER, application CLOB, no_discounts CLOB)
CREATE TABLE fare (fare_id NUMBER, from_airport VARCHAR2, to_airport VARCHAR2, fare_basis_code CLOB, fare_airline CLOB, restriction_code CLOB, one_direction_cost NUMBER, round_trip_cost NUMBER, round_trip_required VARCHAR2)
CREATE TABLE aircraft (aircraft_code VARCHAR2, aircraft_description VARCHAR2, manufacturer VARCHAR2, basic_type VARCHAR2, engines NUMBER, propulsion VARCHAR2, wide_body VARCHAR2, wing_span NUMBER, length NUMBER, weight NUMBER, capacity NUMBER, pay_load NUMBER, cruising_speed NUMBER, range_miles NUMBER, pressurized VARCHAR2)
CREATE TABLE airport (airport_code VARCHAR2, airport_name CLOB, airport_location CLOB, state_code VARCHAR2, country_name VARCHAR2, time_zone_code VARCHAR2, minimum_connect_time NUMBER)
CREATE TABLE airport_service (city_code VARCHAR2, airport_code VARCHAR2, miles_distant NUMBER, direction VARCHAR2, minutes_distant NUMBER)
| i would like to fly from PITTSBURGH to ATLANTA | SELECT DISTINCT flight.flight_id FROM airport_service AS AIRPORT_SERVICE_0, airport_service AS AIRPORT_SERVICE_1, city AS CITY_0, city AS CITY_1, flight WHERE CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'PITTSBURGH' AND CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'ATLANTA' AND flight.from_airport = AIRPORT_SERVICE_0.airport_code AND flight.to_airport = AIRPORT_SERVICE_1.airport_code | SELECT DISTINCT "flight"."flight_id" FROM "airport_service" "AIRPORT_SERVICE_0" JOIN "city" "CITY_0" ON "AIRPORT_SERVICE_0"."city_code" = "CITY_0"."city_code" AND "CITY_0"."city_name" = 'PITTSBURGH' JOIN "flight" ON "AIRPORT_SERVICE_0"."airport_code" = "flight"."from_airport" JOIN "airport_service" "AIRPORT_SERVICE_1" ON "AIRPORT_SERVICE_1"."airport_code" = "flight"."to_airport" JOIN "city" "CITY_1" ON "AIRPORT_SERVICE_1"."city_code" = "CITY_1"."city_code" AND "CITY_1"."city_name" = 'ATLANTA' | 0.485352 |
CREATE TABLE table_36112 ("Club" CLOB, "Founded" FLOAT, "Homeground" CLOB, "Suburb" CLOB, "Seniors" CLOB, "Juniors" CLOB)
| What year was the Beaudesert suburb club founded | SELECT "Founded" FROM table_36112 WHERE "Suburb" = 'beaudesert' | SELECT "Founded" FROM "table_36112" WHERE "Suburb" = 'beaudesert' | 0.063477 |
CREATE TABLE table_name_63 (deposits VARCHAR2, non_interest_income VARCHAR2, no_of_branches_offices VARCHAR2)
| How many deposits had a Non-Interest Income of 0.9500000000000001 and number of branch/offices less than 17? | SELECT COUNT(deposits) FROM table_name_63 WHERE non_interest_income = 0.9500000000000001 AND no_of_branches_offices < 17 | SELECT COUNT("deposits") FROM "table_name_63" WHERE "no_of_branches_offices" < 17 AND "non_interest_income" = 0.9500000000000001 | 0.125 |
CREATE TABLE FlagTypes (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 ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
CREATE TABLE PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
CREATE TABLE Users (Id NUMBER, Reputation NUMBER, CreationDate TIME, DisplayName CLOB, LastAccessDate TIME, WebsiteUrl CLOB, Location CLOB, AboutMe CLOB, Views NUMBER, UpVotes NUMBER, DownVotes NUMBER, ProfileImageUrl CLOB, EmailHash CLOB, AccountId NUMBER)
CREATE TABLE 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 Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
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 ReviewTaskTypes (Id NUMBER, Name CLOB, Description 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 ReviewTaskStates (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment CLOB)
CREATE TABLE Posts (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId NUMBER)
CREATE TABLE PostHistoryTypes (Id NUMBER, Name 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 PostTypes (Id NUMBER, Name CLOB)
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 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 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 Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
CREATE TABLE Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount NUMBER)
CREATE TABLE CloseReasonTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId NUMBER)
| Accept rate of answers vs total answers written. | SELECT 10 * (answer_count / 10) AS answer_count, 100 * SUM(accepted_answer_count) / SUM(answer_count) AS accepted_percent FROM (SELECT Users.Id, COUNT(*) AS answer_count, SUM(CASE WHEN questions.AcceptedAnswerId = answers.Id THEN 1 ELSE 0 END) AS accepted_answer_count FROM Posts AS answers INNER JOIN Users AS users ON Users.Id = answers.OwnerUserId INNER JOIN Posts AS questions ON answers.ParentId = questions.Id WHERE (questions.OwnerUserId != Users.Id OR questions.OwnerUserId IS NULL) GROUP BY Users.Id HAVING COUNT(*) < 500) AS X GROUP BY answer_count / 10 ORDER BY answer_count / 10 | WITH "X" AS (SELECT MAX(1) AS "_" FROM "Posts" "answers" JOIN "Posts" "questions" ON ("Users"."Id" <> "questions"."OwnerUserId" OR "questions"."OwnerUserId" IS NULL) AND "answers"."ParentId" = "questions"."Id" JOIN "Users" "users" ON "Users"."Id" = "answers"."OwnerUserId" GROUP BY "Users"."Id" HAVING COUNT(*) < 500) SELECT 10 * ("answer_count" / NULLIF(10, 0)) AS "answer_count", 100 * SUM("accepted_answer_count") / NULLIF(SUM("answer_count"), 0) AS "accepted_percent" FROM "X" "X" GROUP BY "answer_count" / NULLIF(10, 0) ORDER BY "answer_count" / NULLIF(10, 0) | 0.550781 |
CREATE TABLE table_15647838_3 (season NUMBER, bowl_game VARCHAR2)
| What is the highest season for a bowl game of the 1993 Independence Bowl? | SELECT MAX(season) FROM table_15647838_3 WHERE bowl_game = "1993 Independence Bowl" | SELECT MAX("season") FROM "table_15647838_3" WHERE "1993 Independence Bowl" = "bowl_game" | 0.086914 |
CREATE TABLE shipments (order_id VARCHAR2, shipment_date NUMBER)
| Find the ids of orders which are shipped after 2000-01-01. | SELECT order_id FROM shipments WHERE shipment_date > "2000-01-01" | SELECT "order_id" FROM "shipments" WHERE "2000-01-01" < "shipment_date" | 0.069336 |
CREATE TABLE course_tags_count (course_id NUMBER, clear_grading NUMBER, pop_quiz NUMBER, group_projects NUMBER, inspirational NUMBER, long_lectures NUMBER, extra_credit NUMBER, few_tests NUMBER, good_feedback NUMBER, tough_tests NUMBER, heavy_papers NUMBER, cares_for_students NUMBER, heavy_assignments NUMBER, respected NUMBER, participation NUMBER, heavy_reading NUMBER, tough_grader NUMBER, hilarious NUMBER, would_take_again NUMBER, good_lecture NUMBER, no_skip NUMBER)
CREATE TABLE student_record (student_id NUMBER, course_id NUMBER, semester NUMBER, grade VARCHAR2, how VARCHAR2, transfer_source VARCHAR2, earn_credit VARCHAR2, repeat_term VARCHAR2, test_id VARCHAR2)
CREATE TABLE instructor (instructor_id NUMBER, name VARCHAR2, uniqname VARCHAR2)
CREATE TABLE ta (campus_job_id NUMBER, student_id NUMBER, location VARCHAR2)
CREATE TABLE course (course_id NUMBER, name VARCHAR2, department VARCHAR2, number VARCHAR2, credits VARCHAR2, advisory_requirement VARCHAR2, enforced_requirement VARCHAR2, description VARCHAR2, num_semesters NUMBER, num_enrolled NUMBER, has_discussion VARCHAR2, has_lab VARCHAR2, has_projects VARCHAR2, has_exams VARCHAR2, num_reviews NUMBER, clarity_score NUMBER, easiness_score NUMBER, helpfulness_score NUMBER)
CREATE TABLE semester (semester_id NUMBER, semester VARCHAR2, year NUMBER)
CREATE TABLE area (course_id NUMBER, area VARCHAR2)
CREATE TABLE student (student_id NUMBER, lastname VARCHAR2, firstname VARCHAR2, program_id NUMBER, declare_major VARCHAR2, total_credit NUMBER, total_gpa FLOAT, entered_as VARCHAR2, admit_term NUMBER, predicted_graduation_semester NUMBER, degree VARCHAR2, minor VARCHAR2, internship VARCHAR2)
CREATE TABLE offering_instructor (offering_instructor_id NUMBER, offering_id NUMBER, instructor_id NUMBER)
CREATE TABLE course_offering (offering_id NUMBER, course_id NUMBER, semester NUMBER, section_number NUMBER, start_time TIME, end_time TIME, monday VARCHAR2, tuesday VARCHAR2, wednesday VARCHAR2, thursday VARCHAR2, friday VARCHAR2, saturday VARCHAR2, sunday VARCHAR2, has_final_project VARCHAR2, has_final_exam VARCHAR2, textbook VARCHAR2, class_address VARCHAR2, allow_audit VARCHAR2)
CREATE TABLE program (program_id NUMBER, name VARCHAR2, college VARCHAR2, introduction VARCHAR2)
CREATE TABLE course_prerequisite (pre_course_id NUMBER, course_id NUMBER)
CREATE TABLE jobs (job_id NUMBER, job_title VARCHAR2, description VARCHAR2, requirement VARCHAR2, city VARCHAR2, state VARCHAR2, country VARCHAR2, zip NUMBER)
CREATE TABLE requirement (requirement_id NUMBER, requirement VARCHAR2, college VARCHAR2)
CREATE TABLE comment_instructor (instructor_id NUMBER, student_id NUMBER, score NUMBER, comment_text VARCHAR2)
CREATE TABLE program_course (program_id NUMBER, course_id NUMBER, workload NUMBER, category VARCHAR2)
CREATE TABLE program_requirement (program_id NUMBER, category VARCHAR2, min_credit NUMBER, additional_req VARCHAR2)
CREATE TABLE gsi (course_offering_id NUMBER, student_id NUMBER)
| What courses , besides 524 , does Prof. Saumuy Puchala teach ? | SELECT DISTINCT course.department, course.name, course.number FROM course, course_offering, instructor, offering_instructor WHERE course.course_id = course_offering.course_id AND course.number <> 524 AND instructor.name LIKE '%Saumuy Puchala%' AND offering_instructor.instructor_id = instructor.instructor_id AND offering_instructor.offering_id = course_offering.offering_id | SELECT DISTINCT "course"."department", "course"."name", "course"."number" FROM "course" JOIN "course_offering" ON "course"."course_id" = "course_offering"."course_id" JOIN "offering_instructor" ON "course_offering"."offering_id" = "offering_instructor"."offering_id" JOIN "instructor" ON "instructor"."instructor_id" = "offering_instructor"."instructor_id" AND "instructor"."name" LIKE '%Saumuy Puchala%' WHERE "course"."number" <> 524 | 0.424805 |
CREATE TABLE table_name_55 (score VARCHAR2, team_2 VARCHAR2)
| What was the score for the game in which Al-Qadsia was Team 2? | SELECT score FROM table_name_55 WHERE team_2 = "al-qadsia" | SELECT "score" FROM "table_name_55" WHERE "al-qadsia" = "team_2" | 0.0625 |
CREATE TABLE table_14178 ("Year" FLOAT, "Class" CLOB, "Vehicle" CLOB, "Position" CLOB, "Stages won" CLOB)
| Which vehicle had a class of car in years after 2009 with 0 stages won and position of 5? | SELECT "Vehicle" FROM table_14178 WHERE "Class" = 'car' AND "Year" > '2009' AND "Stages won" = '0' AND "Position" = '5' | SELECT "Vehicle" FROM "table_14178" WHERE "Class" = 'car' AND "Position" = '5' AND "Stages won" = '0' AND "Year" > '2009' | 0.118164 |
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