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CREATE TABLE table_203_836 (id NUMBER, "title" CLOB, "year" NUMBER, "platforms" CLOB, "developer" CLOB, "publisher" CLOB, "notes" CLOB)
| how many platforms did american mcgee 's grimm run on ? | SELECT "platforms" FROM table_203_836 WHERE "title" = "american mcgee's grimm" | SELECT "platforms" FROM "table_203_836" WHERE "american mcgee's grimm" = "title" | 0.078125 |
CREATE TABLE table_test_13 ("id" NUMBER, "systolic_blood_pressure_sbp" NUMBER, "tachycardia" NUMBER, "diastolic_blood_pressure_dbp" NUMBER, "total_cholesterol" NUMBER, "high_density_lipoprotein_cholesterol_hdl_c" NUMBER, "serum_creatinine" FLOAT, "alcohol_abuse" BOOLEAN, "drug_abuse" BOOLEAN, "body_mass_index_bmi" FLOAT, "triglyceride_tg" FLOAT, "age" FLOAT, "NOUSE" FLOAT)
| systolic blood pressure < 140 mmhg | SELECT * FROM table_test_13 WHERE systolic_blood_pressure_sbp < 140 | SELECT * FROM "table_test_13" WHERE "systolic_blood_pressure_sbp" < 140 | 0.069336 |
CREATE TABLE table_1014319_1 (goodman VARCHAR2, result VARCHAR2, total VARCHAR2, horwood VARCHAR2)
| What score did Goodman give to all songs with safe results, which received a 7 from Horwood and have a total score of 31? | SELECT goodman FROM table_1014319_1 WHERE total = "31" AND horwood = "7" AND result = "Safe" | SELECT "goodman" FROM "table_1014319_1" WHERE "31" = "total" AND "7" = "horwood" AND "Safe" = "result" | 0.099609 |
CREATE TABLE table_name_89 (time_retired VARCHAR2, constructor VARCHAR2, grid VARCHAR2)
| What is the Time/Retired for brabham - climax, on Grid of 10? | SELECT time_retired FROM table_name_89 WHERE constructor = "brabham - climax" AND grid = 10 | SELECT "time_retired" FROM "table_name_89" WHERE "brabham - climax" = "constructor" AND "grid" = 10 | 0.09668 |
CREATE TABLE table_77389 ("Rank" FLOAT, "Mountain Peak" CLOB, "State" CLOB, "Mountain Range" CLOB, "Location" CLOB)
| what is the mountain range when the state is colorado, rank is higher than 90 and mountain peak is whetstone mountain? | SELECT "Mountain Range" FROM table_77389 WHERE "State" = 'colorado' AND "Rank" > '90' AND "Mountain Peak" = 'whetstone mountain' | SELECT "Mountain Range" FROM "table_77389" WHERE "Mountain Peak" = 'whetstone mountain' AND "Rank" > '90' AND "State" = 'colorado' | 0.126953 |
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 Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount NUMBER)
CREATE TABLE ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment CLOB)
CREATE TABLE 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 PostHistory (Id NUMBER, PostHistoryTypeId NUMBER, PostId NUMBER, RevisionGUID other, CreationDate TIME, UserId NUMBER, UserDisplayName CLOB, Comment CLOB, Text CLOB, ContentLicense CLOB)
CREATE TABLE PostTypes (Id NUMBER, Name CLOB)
CREATE TABLE PendingFlags (Id NUMBER, FlagTypeId NUMBER, PostId NUMBER, CreationDate TIME, CloseReasonTypeId NUMBER, CloseAsOffTopicReasonTypeId NUMBER, DuplicateOfQuestionId NUMBER, BelongsOnBaseHostAddress CLOB)
CREATE TABLE CloseAsOffTopicReasonTypes (Id NUMBER, IsUniversal BOOLEAN, InputTitle CLOB, MarkdownInputGuidance CLOB, MarkdownPostOwnerGuidance CLOB, MarkdownPrivilegedUserGuidance CLOB, MarkdownConcensusDescription CLOB, CreationDate TIME, CreationModeratorId NUMBER, ApprovalDate TIME, ApprovalModeratorId NUMBER, DeactivationDate TIME, DeactivationModeratorId NUMBER)
CREATE TABLE Comments (Id NUMBER, PostId NUMBER, Score NUMBER, Text CLOB, CreationDate TIME, UserDisplayName CLOB, UserId NUMBER, 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 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 PostHistoryTypes (Id NUMBER, Name CLOB)
CREATE TABLE PostTags (PostId NUMBER, TagId NUMBER)
CREATE TABLE Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
CREATE TABLE SuggestedEditVotes (Id NUMBER, SuggestedEditId NUMBER, UserId NUMBER, VoteTypeId NUMBER, CreationDate TIME, TargetUserId NUMBER, TargetRepChange NUMBER)
CREATE TABLE VoteTypes (Id NUMBER, Name CLOB)
CREATE TABLE CloseReasonTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostsWithDeleted (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE FlagTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId NUMBER)
CREATE TABLE PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
CREATE TABLE ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId NUMBER)
CREATE TABLE ReviewTaskStates (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE ReviewTaskTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
CREATE TABLE ReviewTaskResultTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE SuggestedEdits (Id NUMBER, PostId NUMBER, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId NUMBER, Comment CLOB, Text CLOB, Title CLOB, Tags CLOB, RevisionGUID other)
| People who asked more than one question. | SELECT COUNT(*) FROM Posts JOIN Users ON Posts.OwnerUserId = Users.Id WHERE Posts.PostTypeId = 1 GROUP BY Users.Id HAVING COUNT(Posts.Id) > 1 | SELECT COUNT(*) FROM "Posts" JOIN "Users" ON "Posts"."OwnerUserId" = "Users"."Id" WHERE "Posts"."PostTypeId" = 1 GROUP BY "Users"."Id" HAVING COUNT("Posts"."Id") > 1 | 0.161133 |
CREATE TABLE patient (uniquepid CLOB, patienthealthsystemstayid NUMBER, patientunitstayid NUMBER, gender CLOB, age CLOB, ethnicity CLOB, hospitalid NUMBER, wardid NUMBER, admissionheight NUMBER, admissionweight NUMBER, dischargeweight NUMBER, hospitaladmittime TIME, hospitaladmitsource CLOB, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus CLOB)
CREATE TABLE treatment (treatmentid NUMBER, patientunitstayid NUMBER, treatmentname CLOB, treatmenttime TIME)
CREATE TABLE microlab (microlabid NUMBER, patientunitstayid NUMBER, culturesite CLOB, organism CLOB, culturetakentime 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 lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime TIME)
CREATE TABLE diagnosis (diagnosisid NUMBER, patientunitstayid NUMBER, diagnosisname CLOB, diagnosistime TIME, icd9code CLOB)
CREATE TABLE cost (costid NUMBER, uniquepid CLOB, patienthealthsystemstayid NUMBER, eventtype CLOB, eventid NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE medication (medicationid NUMBER, patientunitstayid NUMBER, drugname CLOB, dosage CLOB, routeadmin CLOB, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE allergy (allergyid NUMBER, patientunitstayid NUMBER, drugname CLOB, allergyname CLOB, allergytime TIME)
| how much was patient 015-46307's weight changed second measured on the last hospital visit compared to the first value measured on the last hospital visit? | SELECT (SELECT patient.admissionweight FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '015-46307' AND NOT patient.hospitaldischargetime IS NULL ORDER BY patient.hospitaladmittime DESC LIMIT 1) AND NOT patient.admissionweight IS NULL ORDER BY patient.unitadmittime LIMIT 1 OFFSET 1) - (SELECT patient.admissionweight FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '015-46307' AND NOT patient.hospitaldischargetime IS NULL ORDER BY patient.hospitaladmittime DESC LIMIT 1) AND NOT patient.admissionweight IS NULL ORDER BY patient.unitadmittime LIMIT 1) | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '015-46307' AND NOT "patient"."hospitaldischargetime" IS NULL GROUP BY "patienthealthsystemstayid" ORDER BY "patient"."hospitaladmittime" DESC FETCH FIRST 1 ROWS ONLY) SELECT (SELECT "patient"."admissionweight" FROM "patient" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "patient"."patienthealthsystemstayid" WHERE NOT "_u_0"."" IS NULL AND NOT "patient"."admissionweight" IS NULL ORDER BY "patient"."unitadmittime" OFFSET 1 ROWS FETCH FIRST 1 ROWS ONLY) - (SELECT "patient"."admissionweight" FROM "patient" LEFT JOIN "_u_0" "_u_2" ON "_u_2"."" = "patient"."patienthealthsystemstayid" WHERE NOT "_u_2"."" IS NULL AND NOT "patient"."admissionweight" IS NULL ORDER BY "patient"."unitadmittime" FETCH FIRST 1 ROWS ONLY) | 0.796875 |
CREATE TABLE table_60021 ("Date" CLOB, "Result" CLOB, "Competition" CLOB, "Venue" CLOB, "Attendance" FLOAT)
| Which Competition has a Result of france 46-16 scotland? | SELECT "Competition" FROM table_60021 WHERE "Result" = 'france 46-16 scotland' | SELECT "Competition" FROM "table_60021" WHERE "Result" = 'france 46-16 scotland' | 0.078125 |
CREATE TABLE university (school_id NUMBER, school CLOB, location CLOB, founded NUMBER, affiliation CLOB, enrollment NUMBER, nickname CLOB, primary_conference CLOB)
CREATE TABLE basketball_match (team_id NUMBER, school_id NUMBER, team_name CLOB, acc_regular_season CLOB, acc_percent CLOB, acc_home CLOB, acc_road CLOB, all_games CLOB, all_games_percent NUMBER, all_home CLOB, all_road CLOB, all_neutral CLOB)
| Find the number of universities that have over a 20000 enrollment size for each affiliation type. | SELECT COUNT(*), affiliation FROM university WHERE enrollment > 20000 GROUP BY affiliation | SELECT COUNT(*), "affiliation" FROM "university" WHERE "enrollment" > 20000 GROUP BY "affiliation" | 0.095703 |
CREATE TABLE table_64076 ("School" CLOB, "Location" CLOB, "Mascot" CLOB, "County" CLOB, "Year Joined" CLOB, "Previous Conference" CLOB, "Year Left" CLOB)
| what is the mascot when the school is warsaw? | SELECT "Mascot" FROM table_64076 WHERE "School" = 'warsaw' | SELECT "Mascot" FROM "table_64076" WHERE "School" = 'warsaw' | 0.058594 |
CREATE TABLE table_34709 ("Name" CLOB, "Pld." FLOAT, "Goals" FLOAT, "Assists" FLOAT, "Points" FLOAT, "Pims" FLOAT)
| What is the smallest number of assists with 70 Pims and less than 19 goals? | SELECT MIN("Assists") FROM table_34709 WHERE "Pims" = '70' AND "Goals" < '19' | SELECT MIN("Assists") FROM "table_34709" WHERE "Goals" < '19' AND "Pims" = '70' | 0.077148 |
CREATE TABLE train (name VARCHAR2)
| How many trains have 'Express' in their names? | SELECT COUNT(*) FROM train WHERE name LIKE "%Express%" | SELECT COUNT(*) FROM "train" WHERE "name" LIKE "%Express%" | 0.056641 |
CREATE TABLE Attribute_Definitions (attribute_id NUMBER, attribute_name VARCHAR2, attribute_data_type VARCHAR2)
CREATE TABLE Catalogs (catalog_id NUMBER, catalog_name VARCHAR2, catalog_publisher VARCHAR2, date_of_publication DATETIME, date_of_latest_revision DATETIME)
CREATE TABLE Catalog_Structure (catalog_level_number NUMBER, catalog_id NUMBER, catalog_level_name VARCHAR2)
CREATE TABLE Catalog_Contents_Additional_Attributes (catalog_entry_id NUMBER, catalog_level_number NUMBER, attribute_id NUMBER, attribute_value VARCHAR2)
CREATE TABLE Catalog_Contents (catalog_entry_id NUMBER, catalog_level_number NUMBER, parent_entry_id NUMBER, previous_entry_id NUMBER, next_entry_id NUMBER, catalog_entry_name VARCHAR2, product_stock_number VARCHAR2, price_in_dollars DOUBLE PRECISION, price_in_euros DOUBLE PRECISION, price_in_pounds DOUBLE PRECISION, capacity VARCHAR2, length VARCHAR2, height VARCHAR2, width VARCHAR2)
| What are the name and level of catalog structure with level number between 5 and 1 Show bar chart, and list names in desc order please. | SELECT catalog_level_name, catalog_level_number FROM Catalog_Structure WHERE catalog_level_number BETWEEN 5 AND 10 ORDER BY catalog_level_name DESC | SELECT "catalog_level_name", "catalog_level_number" FROM "Catalog_Structure" WHERE "catalog_level_number" <= 10 AND "catalog_level_number" >= 5 ORDER BY "catalog_level_name" DESC | 0.173828 |
CREATE TABLE Financial_Transactions (transaction_id NUMBER, previous_transaction_id NUMBER, account_id NUMBER, card_id NUMBER, transaction_type VARCHAR2, transaction_date DATETIME, transaction_amount DOUBLE PRECISION, transaction_comment VARCHAR2, other_transaction_details VARCHAR2)
CREATE TABLE Accounts (account_id NUMBER, customer_id NUMBER, account_name VARCHAR2, other_account_details VARCHAR2)
CREATE TABLE Customers_Cards (card_id NUMBER, customer_id NUMBER, card_type_code VARCHAR2, card_number VARCHAR2, date_valid_from DATETIME, date_valid_to DATETIME, other_card_details VARCHAR2)
CREATE TABLE Customers (customer_id NUMBER, customer_first_name VARCHAR2, customer_last_name VARCHAR2, customer_address VARCHAR2, customer_phone VARCHAR2, customer_email VARCHAR2, other_customer_details VARCHAR2)
| Bar chart x axis card type code y axis the total number | SELECT card_type_code, COUNT(*) FROM Customers_Cards GROUP BY card_type_code | SELECT "card_type_code", COUNT(*) FROM "Customers_Cards" GROUP BY "card_type_code" | 0.080078 |
CREATE TABLE table_6785 ("Institution" CLOB, "Location" CLOB, "Founded" FLOAT, "Type" CLOB, "Enrollment" FLOAT, "Nickname" CLOB, "Joined" CLOB, "Left" CLOB, "Current Conference" CLOB)
| What is the total number of teams founded that were left in 1976? | SELECT SUM("Founded") FROM table_6785 WHERE "Left" = '1976' | SELECT SUM("Founded") FROM "table_6785" WHERE "Left" = '1976' | 0.05957 |
CREATE TABLE cost (costid NUMBER, uniquepid CLOB, patienthealthsystemstayid NUMBER, eventtype CLOB, eventid NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE diagnosis (diagnosisid NUMBER, patientunitstayid NUMBER, diagnosisname CLOB, diagnosistime TIME, icd9code CLOB)
CREATE TABLE microlab (microlabid NUMBER, patientunitstayid NUMBER, culturesite CLOB, organism CLOB, culturetakentime TIME)
CREATE TABLE allergy (allergyid NUMBER, patientunitstayid NUMBER, drugname CLOB, allergyname CLOB, allergytime TIME)
CREATE TABLE medication (medicationid NUMBER, patientunitstayid NUMBER, drugname CLOB, dosage CLOB, routeadmin CLOB, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE vitalperiodic (vitalperiodicid NUMBER, patientunitstayid NUMBER, temperature NUMBER, sao2 NUMBER, heartrate NUMBER, respiration NUMBER, systemicsystolic NUMBER, systemicdiastolic NUMBER, systemicmean NUMBER, observationtime TIME)
CREATE TABLE patient (uniquepid CLOB, patienthealthsystemstayid NUMBER, patientunitstayid NUMBER, gender CLOB, age CLOB, ethnicity CLOB, hospitalid NUMBER, wardid NUMBER, admissionheight NUMBER, admissionweight NUMBER, dischargeweight NUMBER, hospitaladmittime TIME, hospitaladmitsource CLOB, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus CLOB)
CREATE TABLE 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 lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime TIME)
| does patient 005-77687 produce any rectal tube in 12/2105. | SELECT COUNT(*) > 0 FROM intakeoutput WHERE intakeoutput.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '005-77687')) AND intakeoutput.cellpath LIKE '%output%' AND intakeoutput.celllabel = 'rectal tube' AND STRFTIME('%y-%m', intakeoutput.intakeoutputtime) = '2105-12' | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '005-77687' GROUP BY "patienthealthsystemstayid"), "_u_1" AS (SELECT "patient"."patientunitstayid" FROM "patient" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "patient"."patienthealthsystemstayid" WHERE NOT "_u_0"."" IS NULL GROUP BY "patientunitstayid") SELECT COUNT(*) > 0 FROM "intakeoutput" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "intakeoutput"."patientunitstayid" WHERE "intakeoutput"."celllabel" = 'rectal tube' AND "intakeoutput"."cellpath" LIKE '%output%' AND NOT "_u_1"."" IS NULL AND STRFTIME('%y-%m', "intakeoutput"."intakeoutputtime") = '2105-12' | 0.642578 |
CREATE TABLE table_66775 ("Counting Method" CLOB, "Basis" CLOB, "Name" CLOB, "Directed / Undirected" CLOB, "Induced / Non-Induced" CLOB)
| What is the counting method for a network-centric basis? | SELECT "Counting Method" FROM table_66775 WHERE "Basis" = 'network-centric' | SELECT "Counting Method" FROM "table_66775" WHERE "Basis" = 'network-centric' | 0.075195 |
CREATE TABLE table_18424435_5 (directed_by VARCHAR2, us_air_date VARCHAR2)
| Who directed the episode that aired on July 29, 2011? | SELECT directed_by FROM table_18424435_5 WHERE us_air_date = "July 29, 2011" | SELECT "directed_by" FROM "table_18424435_5" WHERE "July 29, 2011" = "us_air_date" | 0.080078 |
CREATE TABLE table_name_99 (streak VARCHAR2, stadium VARCHAR2)
| What was the streak at the game at the Miami Orange Bowl? | SELECT streak FROM table_name_99 WHERE stadium = "miami orange bowl" | SELECT "streak" FROM "table_name_99" WHERE "miami orange bowl" = "stadium" | 0.072266 |
CREATE TABLE table_28891 ("District" CLOB, "Incumbent" CLOB, "Party" CLOB, "First elected" CLOB, "Result" CLOB, "Candidates" CLOB)
| What was the result of Samuel Smith's race? | SELECT "Result" FROM table_28891 WHERE "Incumbent" = 'Samuel Smith' | SELECT "Result" FROM "table_28891" WHERE "Incumbent" = 'Samuel Smith' | 0.067383 |
CREATE TABLE table_51871 ("Planet" CLOB, "Planet Type" CLOB, "Semimajor Axis ( AU ) " FLOAT, "Orbital Period" CLOB, "Radial velocity ( m/s ) " FLOAT, "Detectable by:" CLOB)
| What planet orbits in 3.23 days? | SELECT "Planet" FROM table_51871 WHERE "Orbital Period" = '3.23 days' | SELECT "Planet" FROM "table_51871" WHERE "Orbital Period" = '3.23 days' | 0.069336 |
CREATE TABLE patient (uniquepid CLOB, patienthealthsystemstayid NUMBER, patientunitstayid NUMBER, gender CLOB, age CLOB, ethnicity CLOB, hospitalid NUMBER, wardid NUMBER, admissionheight NUMBER, admissionweight NUMBER, dischargeweight NUMBER, hospitaladmittime TIME, hospitaladmitsource CLOB, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus CLOB)
CREATE TABLE treatment (treatmentid NUMBER, patientunitstayid NUMBER, treatmentname CLOB, treatmenttime TIME)
CREATE TABLE microlab (microlabid NUMBER, patientunitstayid NUMBER, culturesite CLOB, organism CLOB, culturetakentime 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 lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime TIME)
CREATE TABLE diagnosis (diagnosisid NUMBER, patientunitstayid NUMBER, diagnosisname CLOB, diagnosistime TIME, icd9code CLOB)
CREATE TABLE cost (costid NUMBER, uniquepid CLOB, patienthealthsystemstayid NUMBER, eventtype CLOB, eventid NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE medication (medicationid NUMBER, patientunitstayid NUMBER, drugname CLOB, dosage CLOB, routeadmin CLOB, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE allergy (allergyid NUMBER, patientunitstayid NUMBER, drugname CLOB, allergyname CLOB, allergytime TIME)
| how many days have passed since patient 033-22108 last received an morphine sulfate prescription during their current hospital encounter? | SELECT 1 * (STRFTIME('%j', CURRENT_TIME()) - STRFTIME('%j', medication.drugstarttime)) FROM medication WHERE medication.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '033-22108') AND patient.hospitaldischargetime IS NULL) AND medication.drugname = 'morphine sulfate' ORDER BY medication.drugstarttime DESC LIMIT 1 | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '033-22108' GROUP BY "patienthealthsystemstayid"), "_u_1" AS (SELECT "patient"."patientunitstayid" FROM "patient" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "patient"."patienthealthsystemstayid" WHERE "patient"."hospitaldischargetime" IS NULL AND NOT "_u_0"."" IS NULL GROUP BY "patientunitstayid") SELECT 1 * (STRFTIME('%j', CURRENT_TIME()) - STRFTIME('%j', "medication"."drugstarttime")) FROM "medication" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "medication"."patientunitstayid" WHERE "medication"."drugname" = 'morphine sulfate' AND NOT "_u_1"."" IS NULL ORDER BY "medication"."drugstarttime" DESC FETCH FIRST 1 ROWS ONLY | 0.708008 |
CREATE TABLE table_67063 ("Year" CLOB, "Start" CLOB, "Qual" CLOB, "Rank" CLOB, "Finish" CLOB, "Laps" FLOAT)
| What was Johnnie Parsons rank when he completed over 200 laps? | SELECT "Rank" FROM table_67063 WHERE "Laps" > '200' | SELECT "Rank" FROM "table_67063" WHERE "Laps" > '200' | 0.051758 |
CREATE TABLE drivers (driverid VARCHAR2, forename VARCHAR2)
CREATE TABLE results (raceid VARCHAR2, driverid VARCHAR2)
CREATE TABLE races (name VARCHAR2, year VARCHAR2, raceid VARCHAR2)
| Give me a list of names and years of races that had any driver whose forename is Lewis? | SELECT T2.name, T2.year FROM results AS T1 JOIN races AS T2 ON T1.raceid = T2.raceid JOIN drivers AS T3 ON T1.driverid = T3.driverid WHERE T3.forename = "Lewis" | SELECT "T2"."name", "T2"."year" FROM "results" "T1" JOIN "races" "T2" ON "T1"."raceid" = "T2"."raceid" JOIN "drivers" "T3" ON "Lewis" = "T3"."forename" AND "T1"."driverid" = "T3"."driverid" | 0.18457 |
CREATE TABLE table_name_47 (venue VARCHAR2, away_team VARCHAR2)
| In the match where fitzroy was the away team, where was the venue? | SELECT venue FROM table_name_47 WHERE away_team = "fitzroy" | SELECT "venue" FROM "table_name_47" WHERE "away_team" = "fitzroy" | 0.063477 |
CREATE TABLE table_name_13 (record VARCHAR2, date VARCHAR2)
| What was the record on January 4? | SELECT record FROM table_name_13 WHERE date = "january 4" | SELECT "record" FROM "table_name_13" WHERE "date" = "january 4" | 0.061523 |
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)
| give me the number of patients whose lab test name is chloride? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE lab.label = "Chloride" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "lab" ON "Chloride" = "lab"."label" AND "demographic"."hadm_id" = "lab"."hadm_id" | 0.151367 |
CREATE TABLE table_2679061_1 (college_junior_club_team VARCHAR2, player VARCHAR2)
| what is the college/junior/club team for the player alfie turcotte? | SELECT college_junior_club_team FROM table_2679061_1 WHERE player = "Alfie Turcotte" | SELECT "college_junior_club_team" FROM "table_2679061_1" WHERE "Alfie Turcotte" = "player" | 0.087891 |
CREATE TABLE table_40724 ("Player" CLOB, "Nationality" CLOB, "Position" CLOB, "Years in Orlando" CLOB, "School/Club Team" CLOB)
| Who is the player that played for the school/club team Maryland? | SELECT "Player" FROM table_40724 WHERE "School/Club Team" = 'maryland' | SELECT "Player" FROM "table_40724" WHERE "School/Club Team" = 'maryland' | 0.070313 |
CREATE TABLE table_name_95 (points NUMBER, drawn VARCHAR2, played VARCHAR2)
| Which Points have Drawn of 1, and a Played larger than 14? | SELECT MAX(points) FROM table_name_95 WHERE drawn = 1 AND played > 14 | SELECT MAX("points") FROM "table_name_95" WHERE "drawn" = 1 AND "played" > 14 | 0.075195 |
CREATE TABLE table_1847180_4 (vacator VARCHAR2, successor VARCHAR2)
| Who did Walter B. Jones, Sr. (d) succeeded in office? | SELECT vacator FROM table_1847180_4 WHERE successor = "Walter B. Jones, Sr. (D)" | SELECT "vacator" FROM "table_1847180_4" WHERE "Walter B. Jones, Sr. (D)" = "successor" | 0.083984 |
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
| what is the number of patients whose diagnoses icd9 code is 28860 and drug type is additive? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE diagnoses.icd9_code = "28860" AND prescriptions.drug_type = "ADDITIVE" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "28860" = "diagnoses"."icd9_code" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" JOIN "prescriptions" ON "ADDITIVE" = "prescriptions"."drug_type" AND "demographic"."hadm_id" = "prescriptions"."hadm_id" | 0.288086 |
CREATE TABLE table_37968 ("Date" CLOB, "Opponent" CLOB, "Score" CLOB, "Loss" CLOB, "Save" CLOB)
| What was the loss of the game against with LA New Bears with a save of Mac Suzuki? | SELECT "Loss" FROM table_37968 WHERE "Opponent" = 'la new bears' AND "Save" = 'mac suzuki' | SELECT "Loss" FROM "table_37968" WHERE "Opponent" = 'la new bears' AND "Save" = 'mac suzuki' | 0.089844 |
CREATE TABLE table_15187735_4 (episode NUMBER, netflix VARCHAR2)
| What is the first episode with a netflix episode code of s02e20? | SELECT MIN(episode) FROM table_15187735_4 WHERE netflix = "S02E20" | SELECT MIN("episode") FROM "table_15187735_4" WHERE "S02E20" = "netflix" | 0.070313 |
CREATE TABLE PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId NUMBER)
CREATE TABLE Comments (Id NUMBER, PostId NUMBER, Score NUMBER, Text CLOB, CreationDate TIME, UserDisplayName CLOB, UserId NUMBER, ContentLicense CLOB)
CREATE TABLE VoteTypes (Id NUMBER, Name CLOB)
CREATE TABLE TagSynonyms (Id NUMBER, SourceTagName CLOB, TargetTagName CLOB, CreationDate TIME, OwnerUserId NUMBER, AutoRenameCount NUMBER, LastAutoRename TIME, Score NUMBER, ApprovedByUserId NUMBER, ApprovalDate TIME)
CREATE TABLE PostsWithDeleted (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE PostHistory (Id NUMBER, PostHistoryTypeId NUMBER, PostId NUMBER, RevisionGUID other, CreationDate TIME, UserId NUMBER, UserDisplayName CLOB, Comment CLOB, Text CLOB, ContentLicense CLOB)
CREATE TABLE ReviewTaskResultTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE CloseReasonTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostTags (PostId NUMBER, TagId NUMBER)
CREATE TABLE ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment CLOB)
CREATE TABLE PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
CREATE TABLE Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount NUMBER)
CREATE TABLE ReviewTaskTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId NUMBER)
CREATE TABLE Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
CREATE TABLE PostTypes (Id NUMBER, Name CLOB)
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 Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
CREATE TABLE Posts (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE PostHistoryTypes (Id NUMBER, Name CLOB)
CREATE TABLE ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId 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 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 ReviewTaskStates (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Users (Id NUMBER, Reputation NUMBER, CreationDate TIME, DisplayName CLOB, LastAccessDate TIME, WebsiteUrl CLOB, Location CLOB, AboutMe CLOB, Views NUMBER, UpVotes NUMBER, DownVotes NUMBER, ProfileImageUrl CLOB, EmailHash CLOB, AccountId NUMBER)
CREATE TABLE PendingFlags (Id NUMBER, FlagTypeId NUMBER, PostId NUMBER, CreationDate TIME, CloseReasonTypeId NUMBER, CloseAsOffTopicReasonTypeId NUMBER, DuplicateOfQuestionId NUMBER, BelongsOnBaseHostAddress CLOB)
CREATE TABLE PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId NUMBER)
| What are the rarest badges I do/don't have?. | SELECT Badges.Name, COUNT(*) AS Count, CASE WHEN COUNT(Users.Id) > 0 THEN 'Yes' ELSE 'No' END AS HaveIt FROM Badges LEFT OUTER JOIN Users ON Badges.UserId = Users.Id AND Users.Id = '##UserId##' WHERE Badges.TagBased IN ('##TagBased##') GROUP BY Badges.Name ORDER BY HaveIt DESC, Count | SELECT "Badges"."Name", COUNT(*) AS "Count", CASE WHEN COUNT("Users"."Id") > 0 THEN 'Yes' ELSE 'No' END AS "HaveIt" FROM "Badges" LEFT JOIN "Users" ON "Badges"."UserId" = "Users"."Id" AND "Users"."Id" = '##UserId##' WHERE "Badges"."TagBased" IN ('##TagBased##') GROUP BY "Badges"."Name" ORDER BY "HaveIt" DESC, "Count" | 0.310547 |
CREATE TABLE table_21985 ("No. in series" FLOAT, "No. in season" FLOAT, "Title" CLOB, "Directed by" CLOB, "Written by" CLOB, "Original U.S. air date" CLOB, "Prod. code" CLOB, "Viewers ( millions ) " CLOB)
| who co-wrote Season 2, Episode 3? | SELECT "Written by" FROM table_21985 WHERE "No. in season" = '3' | SELECT "Written by" FROM "table_21985" WHERE "No. in season" = '3' | 0.064453 |
CREATE TABLE table_5524 ("Venue" CLOB, "Home" CLOB, "Guest" CLOB, "Score" CLOB, "Attendance" FLOAT)
| Who was the guest at Stadion Prljanije? | SELECT "Guest" FROM table_5524 WHERE "Venue" = 'stadion prljanije' | SELECT "Guest" FROM "table_5524" WHERE "Venue" = 'stadion prljanije' | 0.066406 |
CREATE TABLE Comments (Id NUMBER, PostId NUMBER, Score NUMBER, Text CLOB, CreationDate TIME, UserDisplayName CLOB, UserId NUMBER, ContentLicense CLOB)
CREATE TABLE ReviewTaskResultTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostHistoryTypes (Id NUMBER, Name CLOB)
CREATE TABLE CloseAsOffTopicReasonTypes (Id NUMBER, IsUniversal BOOLEAN, InputTitle CLOB, MarkdownInputGuidance CLOB, MarkdownPostOwnerGuidance CLOB, MarkdownPrivilegedUserGuidance CLOB, MarkdownConcensusDescription CLOB, CreationDate TIME, CreationModeratorId NUMBER, ApprovalDate TIME, ApprovalModeratorId NUMBER, DeactivationDate TIME, DeactivationModeratorId NUMBER)
CREATE TABLE PostHistory (Id NUMBER, PostHistoryTypeId NUMBER, PostId NUMBER, RevisionGUID other, CreationDate TIME, UserId NUMBER, UserDisplayName CLOB, Comment CLOB, Text CLOB, ContentLicense CLOB)
CREATE TABLE PendingFlags (Id NUMBER, FlagTypeId NUMBER, PostId NUMBER, CreationDate TIME, CloseReasonTypeId NUMBER, CloseAsOffTopicReasonTypeId NUMBER, DuplicateOfQuestionId NUMBER, BelongsOnBaseHostAddress 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 ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
CREATE TABLE Users (Id NUMBER, Reputation NUMBER, CreationDate TIME, DisplayName CLOB, LastAccessDate TIME, WebsiteUrl CLOB, Location CLOB, AboutMe CLOB, Views NUMBER, UpVotes NUMBER, DownVotes NUMBER, ProfileImageUrl CLOB, EmailHash CLOB, AccountId NUMBER)
CREATE TABLE Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
CREATE TABLE PostTypes (Id NUMBER, Name CLOB)
CREATE TABLE ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId NUMBER)
CREATE TABLE 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 CloseReasonTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE VoteTypes (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 Posts (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount NUMBER)
CREATE TABLE FlagTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
CREATE TABLE PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
CREATE TABLE Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
CREATE TABLE PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId NUMBER)
CREATE TABLE PostTags (PostId NUMBER, TagId NUMBER)
CREATE TABLE 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 ReviewTaskTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE ReviewTaskStates (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE SuggestedEditVotes (Id NUMBER, SuggestedEditId NUMBER, UserId NUMBER, VoteTypeId NUMBER, CreationDate TIME, TargetUserId NUMBER, TargetRepChange NUMBER)
| Top 500 SO Users from India. | SELECT ROW_NUMBER() OVER (ORDER BY Reputation DESC) AS "#", Id AS "user_link", Reputation, Location FROM Users WHERE LOWER(Location) LIKE '%india' ORDER BY Reputation DESC LIMIT 500 | SELECT ROW_NUMBER() OVER (ORDER BY "Reputation" DESC) AS "#", "Id" AS "user_link", "Reputation", "Location" FROM "Users" WHERE LOWER("Location") LIKE '%india' ORDER BY "Reputation" DESC FETCH FIRST 500 ROWS ONLY | 0.206055 |
CREATE TABLE labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
CREATE TABLE cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE prescriptions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, startdate TIME, enddate TIME, drug CLOB, dose_val_rx CLOB, dose_unit_rx CLOB, route CLOB)
CREATE TABLE d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
CREATE TABLE inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
CREATE TABLE chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
CREATE TABLE 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 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 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)
| what is the four of the most common output events during this year? | SELECT d_items.label FROM d_items WHERE d_items.itemid IN (SELECT t1.itemid FROM (SELECT outputevents.itemid, DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS c1 FROM outputevents WHERE DATETIME(outputevents.charttime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-0 year') GROUP BY outputevents.itemid) AS t1 WHERE t1.c1 <= 4) | WITH "t1" AS (SELECT "outputevents"."itemid", DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS "c1" FROM "outputevents" WHERE DATETIME("outputevents"."charttime", 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-0 year') GROUP BY "outputevents"."itemid"), "_u_0" AS (SELECT "t1"."itemid" FROM "t1" "t1" WHERE "t1"."c1" <= 4 GROUP BY "itemid") SELECT "d_items"."label" FROM "d_items" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "d_items"."itemid" WHERE NOT "_u_0"."" IS NULL | 0.467773 |
CREATE TABLE table_54353 ("Home team" CLOB, "Home team score" CLOB, "Away team" CLOB, "Away team score" CLOB, "Venue" CLOB, "Crowd" FLOAT, "Date" CLOB)
| In what venue is Essendon the home team? | SELECT "Venue" FROM table_54353 WHERE "Home team" = 'essendon' | SELECT "Venue" FROM "table_54353" WHERE "Home team" = 'essendon' | 0.0625 |
CREATE TABLE table_204_670 (id NUMBER, "week" NUMBER, "date" CLOB, "opponent" CLOB, "result" CLOB, "record" CLOB, "attendance" NUMBER)
| what was the date of the last tie ? | SELECT "date" FROM table_204_670 WHERE "result" = 't' ORDER BY "date" DESC LIMIT 1 | SELECT "date" FROM "table_204_670" WHERE "result" = 't' ORDER BY "date" DESC FETCH FIRST 1 ROWS ONLY | 0.097656 |
CREATE TABLE diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
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 inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
CREATE TABLE d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
CREATE TABLE labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
CREATE TABLE 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 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 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 chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE transfers (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, eventtype CLOB, careunit CLOB, wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE 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 cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
| is the level of arterial bp [diastolic] in patient 28443 last measured on the current intensive care unit visit greater than the value second to last measured on the current intensive care unit visit? | SELECT (SELECT chartevents.valuenum FROM chartevents WHERE chartevents.icustay_id IN (SELECT icustays.icustay_id FROM icustays WHERE icustays.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 28443) AND icustays.outtime IS NULL) AND chartevents.itemid IN (SELECT d_items.itemid FROM d_items WHERE d_items.label = 'arterial bp [diastolic]' AND d_items.linksto = 'chartevents') ORDER BY chartevents.charttime DESC LIMIT 1) > (SELECT chartevents.valuenum FROM chartevents WHERE chartevents.icustay_id IN (SELECT icustays.icustay_id FROM icustays WHERE icustays.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 28443) AND icustays.outtime IS NULL) AND chartevents.itemid IN (SELECT d_items.itemid FROM d_items WHERE d_items.label = 'arterial bp [diastolic]' AND d_items.linksto = 'chartevents') ORDER BY chartevents.charttime DESC LIMIT 1 OFFSET 1) | WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 28443 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" = 'arterial bp [diastolic]' AND "d_items"."linksto" = 'chartevents' GROUP BY "itemid"), "_u_5" AS (SELECT "icustays"."icustay_id" FROM "icustays" LEFT JOIN "_u_0" "_u_4" ON "_u_4"."" = "icustays"."hadm_id" WHERE "icustays"."outtime" IS NULL AND NOT "_u_4"."" IS NULL GROUP BY "icustay_id") SELECT (SELECT "chartevents"."valuenum" FROM "chartevents" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "chartevents"."icustay_id" LEFT JOIN "_u_2" "_u_2" ON "_u_2"."" = "chartevents"."itemid" WHERE NOT "_u_1"."" IS NULL AND NOT "_u_2"."" IS NULL ORDER BY "chartevents"."charttime" DESC FETCH FIRST 1 ROWS ONLY) > (SELECT "chartevents"."valuenum" FROM "chartevents" LEFT JOIN "_u_5" "_u_5" ON "_u_5"."" = "chartevents"."icustay_id" LEFT JOIN "_u_2" "_u_6" ON "_u_6"."" = "chartevents"."itemid" WHERE NOT "_u_5"."" IS NULL AND NOT "_u_6"."" IS NULL ORDER BY "chartevents"."charttime" DESC OFFSET 1 ROWS FETCH FIRST 1 ROWS ONLY) | 1.283203 |
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
| tell me the number of married patients who had spinal tap. | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.marital_status = "MARRIED" AND procedures.short_title = "Spinal tap" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "procedures" ON "Spinal tap" = "procedures"."short_title" AND "demographic"."hadm_id" = "procedures"."hadm_id" WHERE "MARRIED" = "demographic"."marital_status" | 0.227539 |
CREATE TABLE table_28654454_5 (lbs_lost_reunion VARCHAR2, finale_weight VARCHAR2)
| How many lbs were lost at the reunion by the contestant whose finale weight was 151.4? | SELECT lbs_lost_reunion FROM table_28654454_5 WHERE finale_weight = "151.4" | SELECT "lbs_lost_reunion" FROM "table_28654454_5" WHERE "151.4" = "finale_weight" | 0.079102 |
CREATE TABLE regions (REGION_ID NUMBER, REGION_NAME VARCHAR2)
CREATE TABLE job_history (EMPLOYEE_ID NUMBER, START_DATE DATE, END_DATE DATE, JOB_ID VARCHAR2, DEPARTMENT_ID NUMBER)
CREATE TABLE departments (DEPARTMENT_ID NUMBER, DEPARTMENT_NAME VARCHAR2, MANAGER_ID NUMBER, LOCATION_ID NUMBER)
CREATE TABLE countries (COUNTRY_ID VARCHAR2, COUNTRY_NAME VARCHAR2, REGION_ID NUMBER)
CREATE TABLE employees (EMPLOYEE_ID NUMBER, FIRST_NAME VARCHAR2, LAST_NAME VARCHAR2, EMAIL VARCHAR2, PHONE_NUMBER VARCHAR2, HIRE_DATE DATE, JOB_ID VARCHAR2, SALARY NUMBER, COMMISSION_PCT NUMBER, MANAGER_ID NUMBER, DEPARTMENT_ID NUMBER)
CREATE TABLE locations (LOCATION_ID NUMBER, STREET_ADDRESS VARCHAR2, POSTAL_CODE VARCHAR2, CITY VARCHAR2, STATE_PROVINCE VARCHAR2, COUNTRY_ID VARCHAR2)
CREATE TABLE jobs (JOB_ID VARCHAR2, JOB_TITLE VARCHAR2, MIN_SALARY NUMBER, MAX_SALARY NUMBER)
| For those employees who was hired before 2002-06-21, return a bar chart about the distribution of hire_date and the average of employee_id bin hire_date by weekday, and rank by the total number in descending. | SELECT HIRE_DATE, AVG(EMPLOYEE_ID) FROM employees WHERE HIRE_DATE < '2002-06-21' ORDER BY AVG(EMPLOYEE_ID) DESC | SELECT "HIRE_DATE", AVG("EMPLOYEE_ID") FROM "employees" WHERE "HIRE_DATE" < '2002-06-21' ORDER BY AVG("EMPLOYEE_ID") DESC | 0.118164 |
CREATE TABLE cinema (Cinema_ID NUMBER, Name CLOB, Openning_year NUMBER, Capacity NUMBER, Location CLOB)
CREATE TABLE film (Film_ID NUMBER, Rank_in_series NUMBER, Number_in_season NUMBER, Title CLOB, Directed_by CLOB, Original_air_date CLOB, Production_code CLOB)
CREATE TABLE schedule (Cinema_ID NUMBER, Film_ID NUMBER, Date CLOB, Show_times_per_day NUMBER, Price FLOAT)
| Tell me the average of capacity of cinemas open for each year in a line chart, sort in asc by the Openning_year. | SELECT Openning_year, AVG(Capacity) FROM cinema ORDER BY Openning_year | SELECT "Openning_year", AVG("Capacity") FROM "cinema" ORDER BY "Openning_year" | 0.076172 |
CREATE TABLE regions (REGION_ID NUMBER, REGION_NAME VARCHAR2)
CREATE TABLE employees (EMPLOYEE_ID NUMBER, FIRST_NAME VARCHAR2, LAST_NAME VARCHAR2, EMAIL VARCHAR2, PHONE_NUMBER VARCHAR2, HIRE_DATE DATE, JOB_ID VARCHAR2, SALARY NUMBER, COMMISSION_PCT NUMBER, MANAGER_ID NUMBER, DEPARTMENT_ID NUMBER)
CREATE TABLE departments (DEPARTMENT_ID NUMBER, DEPARTMENT_NAME VARCHAR2, MANAGER_ID NUMBER, LOCATION_ID NUMBER)
CREATE TABLE job_history (EMPLOYEE_ID NUMBER, START_DATE DATE, END_DATE DATE, JOB_ID VARCHAR2, DEPARTMENT_ID NUMBER)
CREATE TABLE locations (LOCATION_ID NUMBER, STREET_ADDRESS VARCHAR2, POSTAL_CODE VARCHAR2, CITY VARCHAR2, STATE_PROVINCE VARCHAR2, COUNTRY_ID VARCHAR2)
CREATE TABLE countries (COUNTRY_ID VARCHAR2, COUNTRY_NAME VARCHAR2, REGION_ID NUMBER)
CREATE TABLE jobs (JOB_ID VARCHAR2, JOB_TITLE VARCHAR2, MIN_SALARY NUMBER, MAX_SALARY NUMBER)
| For those employees who do not work in departments with managers that have ids between 100 and 200, return a bar chart about the distribution of hire_date and the sum of manager_id bin hire_date by time, show by the Y-axis from low to high. | SELECT HIRE_DATE, SUM(MANAGER_ID) FROM employees WHERE NOT DEPARTMENT_ID IN (SELECT DEPARTMENT_ID FROM departments WHERE MANAGER_ID BETWEEN 100 AND 200) ORDER BY SUM(MANAGER_ID) | SELECT "HIRE_DATE", SUM("MANAGER_ID") FROM "employees" WHERE NOT "DEPARTMENT_ID" IN (SELECT "DEPARTMENT_ID" FROM "departments" WHERE "MANAGER_ID" <= 200 AND "MANAGER_ID" >= 100) ORDER BY SUM("MANAGER_ID") | 0.199219 |
CREATE TABLE table_38641 ("Tie no" CLOB, "Home team" CLOB, "Score" CLOB, "Away team" CLOB, "Attendance" CLOB)
| What is the name of the home time with a 10 tie no? | SELECT "Home team" FROM table_38641 WHERE "Tie no" = '10' | SELECT "Home team" FROM "table_38641" WHERE "Tie no" = '10' | 0.057617 |
CREATE TABLE table_20424014_1 (county VARCHAR2, obama__percentage VARCHAR2)
| where did obama get 39.8% | SELECT county FROM table_20424014_1 WHERE obama__percentage = "39.8%" | SELECT "county" FROM "table_20424014_1" WHERE "39.8%" = "obama__percentage" | 0.073242 |
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
| what is the number of emergency hospital admission patients who had aortography? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.admission_type = "EMERGENCY" AND procedures.long_title = "Aortography" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "procedures" ON "Aortography" = "procedures"."long_title" AND "demographic"."hadm_id" = "procedures"."hadm_id" WHERE "EMERGENCY" = "demographic"."admission_type" | 0.229492 |
CREATE TABLE labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
CREATE TABLE cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
CREATE TABLE prescriptions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, startdate TIME, enddate TIME, drug CLOB, dose_val_rx CLOB, dose_unit_rx CLOB, route CLOB)
CREATE TABLE icustays (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, first_careunit CLOB, last_careunit CLOB, first_wardid NUMBER, last_wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label 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 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 inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
CREATE TABLE diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
CREATE TABLE d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
CREATE TABLE 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)
| when was patient 31260 prescribed the drug senna and glyburide at the same time for the first time until 01/2105? | SELECT t1.startdate FROM (SELECT admissions.subject_id, prescriptions.startdate FROM prescriptions JOIN admissions ON prescriptions.hadm_id = admissions.hadm_id WHERE prescriptions.drug = 'senna' AND admissions.subject_id = 31260 AND STRFTIME('%y-%m', prescriptions.startdate) <= '2105-01') AS t1 JOIN (SELECT admissions.subject_id, prescriptions.startdate FROM prescriptions JOIN admissions ON prescriptions.hadm_id = admissions.hadm_id WHERE prescriptions.drug = 'glyburide' AND admissions.subject_id = 31260 AND STRFTIME('%y-%m', prescriptions.startdate) <= '2105-01') AS t2 ON t1.subject_id = t2.subject_id WHERE DATETIME(t1.startdate) = DATETIME(t2.startdate) ORDER BY t1.startdate LIMIT 1 | WITH "t2" AS (SELECT "admissions"."subject_id", "prescriptions"."startdate" FROM "prescriptions" JOIN "admissions" ON "admissions"."hadm_id" = "prescriptions"."hadm_id" AND "admissions"."subject_id" = 31260 WHERE "prescriptions"."drug" = 'glyburide' AND STRFTIME('%y-%m', "prescriptions"."startdate") <= '2105-01') SELECT "prescriptions"."startdate" FROM "prescriptions" JOIN "admissions" ON "admissions"."hadm_id" = "prescriptions"."hadm_id" AND "admissions"."subject_id" = 31260 JOIN "t2" "t2" ON "admissions"."subject_id" = "t2"."subject_id" AND DATETIME("prescriptions"."startdate") = DATETIME("t2"."startdate") WHERE "prescriptions"."drug" = 'senna' AND STRFTIME('%y-%m', "prescriptions"."startdate") <= '2105-01' ORDER BY "prescriptions"."startdate" FETCH FIRST 1 ROWS ONLY | 0.760742 |
CREATE TABLE table_name_19 (time_retired VARCHAR2, grid VARCHAR2)
| What is the time/retired for grid 3? | SELECT time_retired FROM table_name_19 WHERE grid = 3 | SELECT "time_retired" FROM "table_name_19" WHERE "grid" = 3 | 0.057617 |
CREATE TABLE table_203_747 (id NUMBER, "rank" NUMBER, "nation" CLOB, "gold" NUMBER, "silver" NUMBER, "bronze" NUMBER, "total" NUMBER)
| what is the total number of medals that india won in the asian youth games ? | SELECT "total" FROM table_203_747 WHERE "nation" = 'india' | SELECT "total" FROM "table_203_747" WHERE "nation" = 'india' | 0.058594 |
CREATE TABLE Product_Categories (production_type_code VARCHAR2, product_type_description VARCHAR2, vat_rating 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 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 Order_Items (order_item_id NUMBER, order_id NUMBER, product_id NUMBER, product_quantity VARCHAR2, other_order_item_details VARCHAR2)
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 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 Accounts (account_id NUMBER, customer_id NUMBER, date_account_opened DATETIME, account_name VARCHAR2, other_account_details VARCHAR2)
| Stacked bar chart of the number of date account opened for with each other_account_details in each date account opened, display by the total number in descending please. | SELECT date_account_opened, COUNT(date_account_opened) FROM Accounts GROUP BY other_account_details ORDER BY COUNT(date_account_opened) DESC | SELECT "date_account_opened", COUNT("date_account_opened") FROM "Accounts" GROUP BY "other_account_details" ORDER BY COUNT("date_account_opened") DESC | 0.146484 |
CREATE TABLE table_59725 ("Outcome" CLOB, "Year" FLOAT, "Championship" CLOB, "Opponent in the final" CLOB, "Score" CLOB)
| What is the Opponent in the final after 2008 at the Paul Hunter Classic? | SELECT "Opponent in the final" FROM table_59725 WHERE "Year" > '2008' AND "Championship" = 'paul hunter classic' | SELECT "Opponent in the final" FROM "table_59725" WHERE "Championship" = 'paul hunter classic' AND "Year" > '2008' | 0.111328 |
CREATE TABLE table_22392 ("Episode" CLOB, "Garfield Episode 1" CLOB, "U.S. Acres Episode" CLOB, "Garfield Episode 2" CLOB, "Original Airdate" CLOB)
| what is the 2nd garfield episode where u.s. acres episode is the orson awards | SELECT "Garfield Episode 1" FROM table_22392 WHERE "U.S. Acres Episode" = 'The Orson Awards' | SELECT "Garfield Episode 1" FROM "table_22392" WHERE "U.S. Acres Episode" = 'The Orson Awards' | 0.091797 |
CREATE TABLE Participants (Participant_ID NUMBER, Participant_Type_Code CHAR, Participant_Details VARCHAR2)
CREATE TABLE Participants_in_Events (Event_ID NUMBER, Participant_ID NUMBER)
CREATE TABLE Events (Event_ID NUMBER, Service_ID NUMBER, Event_Details VARCHAR2)
CREATE TABLE Services (Service_ID NUMBER, Service_Type_Code CHAR)
| Draw a bar chart for what are the ids and details of events that have more than one participants? | SELECT T1.Event_Details, T1.Event_ID FROM Events AS T1 JOIN Participants_in_Events AS T2 ON T1.Event_ID = T2.Event_ID GROUP BY T1.Event_Details | SELECT "T1"."Event_Details", "T1"."Event_ID" FROM "Events" "T1" JOIN "Participants_in_Events" "T2" ON "T1"."Event_ID" = "T2"."Event_ID" GROUP BY "T1"."Event_Details" | 0.161133 |
CREATE TABLE table_16004 ("Nomination" CLOB, "Actors Name" CLOB, "Film Name" CLOB, "Director" CLOB, "Country" CLOB)
| Which actor from Serbia was nominated for best actor in a supporting role? | SELECT "Actors Name" FROM table_16004 WHERE "Nomination" = 'Best Actor in a Supporting Role' AND "Country" = 'Serbia' | SELECT "Actors Name" FROM "table_16004" WHERE "Country" = 'Serbia' AND "Nomination" = 'Best Actor in a Supporting Role' | 0.116211 |
CREATE TABLE table_name_43 (silver NUMBER, rank VARCHAR2, total VARCHAR2)
| What is the most number of silvers for teams in rank 5 with more than 6 total medals? | SELECT MAX(silver) FROM table_name_43 WHERE rank = "5" AND total > 6 | SELECT MAX("silver") FROM "table_name_43" WHERE "5" = "rank" AND "total" > 6 | 0.074219 |
CREATE TABLE dual_carrier (main_airline VARCHAR2, low_flight_number NUMBER, high_flight_number NUMBER, dual_airline VARCHAR2, service_name CLOB)
CREATE TABLE restriction (restriction_code CLOB, advance_purchase NUMBER, stopovers CLOB, saturday_stay_required CLOB, minimum_stay NUMBER, maximum_stay NUMBER, application CLOB, no_discounts CLOB)
CREATE TABLE aircraft (aircraft_code VARCHAR2, aircraft_description VARCHAR2, manufacturer VARCHAR2, basic_type VARCHAR2, engines NUMBER, propulsion VARCHAR2, wide_body VARCHAR2, wing_span NUMBER, length NUMBER, weight NUMBER, capacity NUMBER, pay_load NUMBER, cruising_speed NUMBER, range_miles NUMBER, pressurized VARCHAR2)
CREATE TABLE fare_basis (fare_basis_code CLOB, booking_class CLOB, class_type CLOB, premium CLOB, economy CLOB, discounted CLOB, night CLOB, season CLOB, basis_days CLOB)
CREATE TABLE equipment_sequence (aircraft_code_sequence VARCHAR2, aircraft_code VARCHAR2)
CREATE TABLE food_service (meal_code CLOB, meal_number NUMBER, compartment CLOB, meal_description VARCHAR2)
CREATE TABLE class_of_service (booking_class VARCHAR2, rank NUMBER, class_description CLOB)
CREATE TABLE flight (aircraft_code_sequence CLOB, airline_code VARCHAR2, airline_flight CLOB, arrival_time NUMBER, connections NUMBER, departure_time NUMBER, dual_carrier CLOB, flight_days CLOB, flight_id NUMBER, flight_number NUMBER, from_airport VARCHAR2, meal_code CLOB, stops NUMBER, time_elapsed NUMBER, to_airport VARCHAR2)
CREATE TABLE flight_fare (flight_id NUMBER, fare_id NUMBER)
CREATE TABLE state (state_code CLOB, state_name CLOB, country_name CLOB)
CREATE TABLE time_interval (period CLOB, begin_time NUMBER, end_time NUMBER)
CREATE TABLE days (days_code VARCHAR2, day_name VARCHAR2)
CREATE TABLE date_day (month_number NUMBER, day_number NUMBER, year NUMBER, day_name VARCHAR2)
CREATE TABLE fare (fare_id NUMBER, from_airport VARCHAR2, to_airport VARCHAR2, fare_basis_code CLOB, fare_airline CLOB, restriction_code CLOB, one_direction_cost NUMBER, round_trip_cost NUMBER, round_trip_required VARCHAR2)
CREATE TABLE time_zone (time_zone_code CLOB, time_zone_name CLOB, hours_from_gmt NUMBER)
CREATE TABLE compartment_class (compartment VARCHAR2, class_type 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 city (city_code VARCHAR2, city_name VARCHAR2, state_code VARCHAR2, country_name VARCHAR2, time_zone_code VARCHAR2)
CREATE TABLE airport_service (city_code VARCHAR2, airport_code VARCHAR2, miles_distant NUMBER, direction VARCHAR2, minutes_distant NUMBER)
CREATE TABLE airline (airline_code VARCHAR2, airline_name CLOB, note CLOB)
CREATE TABLE airport (airport_code VARCHAR2, airport_name CLOB, airport_location CLOB, state_code VARCHAR2, country_name VARCHAR2, time_zone_code VARCHAR2, minimum_connect_time NUMBER)
CREATE TABLE code_description (code VARCHAR2, description CLOB)
CREATE TABLE ground_service (city_code CLOB, airport_code CLOB, transport_type CLOB, ground_fare NUMBER)
CREATE TABLE month (month_number NUMBER, month_name CLOB)
CREATE TABLE flight_leg (flight_id NUMBER, leg_number NUMBER, leg_flight NUMBER)
| does YX serve CLEVELAND | 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 ((flight.to_airport = AIRPORT_SERVICE_0.airport_code AND CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'CLEVELAND') OR (flight.from_airport = AIRPORT_SERVICE_1.airport_code AND CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'CLEVELAND')) AND flight.airline_code = 'YX' | SELECT DISTINCT "flight"."flight_id" FROM "airport_service" "AIRPORT_SERVICE_0" CROSS JOIN "city" "CITY_1" JOIN "city" "CITY_0" ON ("AIRPORT_SERVICE_0"."city_code" = "CITY_0"."city_code" OR "CITY_1"."city_name" = 'CLEVELAND') AND ("CITY_0"."city_name" = 'CLEVELAND' OR "CITY_1"."city_name" = 'CLEVELAND') JOIN "flight" ON ("AIRPORT_SERVICE_0"."airport_code" = "flight"."to_airport" OR "CITY_1"."city_name" = 'CLEVELAND') AND "flight"."airline_code" = 'YX' JOIN "airport_service" "AIRPORT_SERVICE_1" ON ("AIRPORT_SERVICE_0"."airport_code" = "flight"."to_airport" OR "AIRPORT_SERVICE_1"."airport_code" = "flight"."from_airport") AND ("AIRPORT_SERVICE_0"."airport_code" = "flight"."to_airport" OR "AIRPORT_SERVICE_1"."city_code" = "CITY_1"."city_code") AND ("AIRPORT_SERVICE_0"."city_code" = "CITY_0"."city_code" OR "AIRPORT_SERVICE_1"."airport_code" = "flight"."from_airport") AND ("AIRPORT_SERVICE_0"."city_code" = "CITY_0"."city_code" OR "AIRPORT_SERVICE_1"."city_code" = "CITY_1"."city_code") AND ("AIRPORT_SERVICE_1"."airport_code" = "flight"."from_airport" OR "CITY_0"."city_name" = 'CLEVELAND') AND ("AIRPORT_SERVICE_1"."city_code" = "CITY_1"."city_code" OR "CITY_0"."city_name" = 'CLEVELAND') | 1.168945 |
CREATE TABLE table_36656 ("Pick #" CLOB, "Player" CLOB, "Position" CLOB, "Nationality" CLOB, "NHL team" CLOB, "College/junior/club team" CLOB)
| What is the name of the Player that shows the NHL team of new york rangers, and a Pick # of 31? | SELECT "Player" FROM table_36656 WHERE "NHL team" = 'new york rangers' AND "Pick #" = '31' | SELECT "Player" FROM "table_36656" WHERE "NHL team" = 'new york rangers' AND "Pick #" = '31' | 0.089844 |
CREATE TABLE table_name_25 (republican_ticket VARCHAR2, democratic_ticket VARCHAR2)
| Which republican ticket has stanley h. fuld as the Democratic ticket? | SELECT republican_ticket FROM table_name_25 WHERE democratic_ticket = "stanley h. fuld" | SELECT "republican_ticket" FROM "table_name_25" WHERE "democratic_ticket" = "stanley h. fuld" | 0.09082 |
CREATE TABLE university (School_ID NUMBER, School CLOB, Location CLOB, Founded FLOAT, Affiliation CLOB, Enrollment FLOAT, Nickname CLOB, Primary_conference CLOB)
CREATE TABLE basketball_match (Team_ID NUMBER, School_ID NUMBER, Team_Name CLOB, ACC_Regular_Season CLOB, ACC_Percent CLOB, ACC_Home CLOB, ACC_Road CLOB, All_Games CLOB, All_Games_Percent NUMBER, All_Home CLOB, All_Road CLOB, All_Neutral CLOB)
| Return a bar chart about the distribution of All_Road and Team_ID , sort from low to high by the y axis. | SELECT All_Road, Team_ID FROM basketball_match ORDER BY Team_ID | SELECT "All_Road", "Team_ID" FROM "basketball_match" ORDER BY "Team_ID" | 0.069336 |
CREATE TABLE table_24524 ("No." FLOAT, "Date" CLOB, "Tournament" CLOB, "Winning score" CLOB, "To par" CLOB, "Margin of victory" CLOB, "Runner ( s ) -up" CLOB)
| Margin of victory on no. 4 was? | SELECT "Margin of victory" FROM table_24524 WHERE "No." = '4' | SELECT "Margin of victory" FROM "table_24524" WHERE "No." = '4' | 0.061523 |
CREATE TABLE table_25408 ("Outcome" CLOB, "Year" FLOAT, "Championship" CLOB, "Surface" CLOB, "Opponent in the final" CLOB, "Score in the final" CLOB)
| How many outcome have a score of 7 6 (9 7) , 6 3? | SELECT COUNT("Outcome") FROM table_25408 WHERE "Score in the final" = '7–6 (9–7) , 6–3' | SELECT COUNT("Outcome") FROM "table_25408" WHERE "Score in the final" = '7–6 (9–7) , 6–3' | 0.086914 |
CREATE TABLE vitalperiodic (vitalperiodicid NUMBER, patientunitstayid NUMBER, temperature NUMBER, sao2 NUMBER, heartrate NUMBER, respiration NUMBER, systemicsystolic NUMBER, systemicdiastolic NUMBER, systemicmean NUMBER, observationtime TIME)
CREATE TABLE diagnosis (diagnosisid NUMBER, patientunitstayid NUMBER, diagnosisname CLOB, diagnosistime TIME, icd9code CLOB)
CREATE TABLE treatment (treatmentid NUMBER, patientunitstayid NUMBER, treatmentname CLOB, treatmenttime TIME)
CREATE TABLE allergy (allergyid NUMBER, patientunitstayid NUMBER, drugname CLOB, allergyname CLOB, allergytime TIME)
CREATE TABLE patient (uniquepid CLOB, patienthealthsystemstayid NUMBER, patientunitstayid NUMBER, gender CLOB, age CLOB, ethnicity CLOB, hospitalid NUMBER, wardid NUMBER, admissionheight NUMBER, admissionweight NUMBER, dischargeweight NUMBER, hospitaladmittime TIME, hospitaladmitsource CLOB, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus CLOB)
CREATE TABLE microlab (microlabid NUMBER, patientunitstayid NUMBER, culturesite CLOB, organism CLOB, culturetakentime TIME)
CREATE TABLE lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime TIME)
CREATE TABLE intakeoutput (intakeoutputid NUMBER, patientunitstayid NUMBER, cellpath CLOB, celllabel CLOB, cellvaluenumeric NUMBER, intakeoutputtime TIME)
CREATE TABLE medication (medicationid NUMBER, patientunitstayid NUMBER, drugname CLOB, dosage CLOB, routeadmin CLOB, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE cost (costid NUMBER, uniquepid CLOB, patienthealthsystemstayid NUMBER, eventtype CLOB, eventid NUMBER, chargetime TIME, cost NUMBER)
| count the number of patients who were prescribed 0.4 ml syringe : enoxaparin sodium 40 mg/0.4ml sc soln in the same hospital encounter after being diagnosed with obesity. | SELECT COUNT(DISTINCT t1.uniquepid) FROM (SELECT patient.uniquepid, diagnosis.diagnosistime, patient.patienthealthsystemstayid FROM diagnosis JOIN patient ON diagnosis.patientunitstayid = patient.patientunitstayid WHERE diagnosis.diagnosisname = 'obesity') AS t1 JOIN (SELECT patient.uniquepid, medication.drugstarttime, patient.patienthealthsystemstayid FROM medication JOIN patient ON medication.patientunitstayid = patient.patientunitstayid WHERE medication.drugname = '0.4 ml syringe : enoxaparin sodium 40 mg/0.4ml sc soln') AS t2 WHERE t1.diagnosistime < t2.drugstarttime AND t1.patienthealthsystemstayid = t2.patienthealthsystemstayid | WITH "t2" AS (SELECT "medication"."drugstarttime", "patient"."patienthealthsystemstayid" FROM "medication" JOIN "patient" ON "medication"."patientunitstayid" = "patient"."patientunitstayid" WHERE "medication"."drugname" = '0.4 ml syringe : enoxaparin sodium 40 mg/0.4ml sc soln') SELECT COUNT(DISTINCT "patient"."uniquepid") FROM "diagnosis" JOIN "patient" ON "diagnosis"."patientunitstayid" = "patient"."patientunitstayid" JOIN "t2" "t2" ON "diagnosis"."diagnosistime" < "t2"."drugstarttime" AND "patient"."patienthealthsystemstayid" = "t2"."patienthealthsystemstayid" WHERE "diagnosis"."diagnosisname" = 'obesity' | 0.600586 |
CREATE TABLE table_dev_15 ("id" NUMBER, "hemoglobin_a1c_hba1c" FLOAT, "hepatic_enzymes" BOOLEAN, "platelet_count" FLOAT, "liver_disease" BOOLEAN, "hba1c" FLOAT, "triglyceride_tg" FLOAT, "NOUSE" FLOAT)
| hba1c between 7.5 % _ 10.5 % | SELECT * FROM table_dev_15 WHERE hba1c >= 7.5 AND hemoglobin_a1c_hba1c <= 10.5 | SELECT * FROM "table_dev_15" WHERE "hba1c" >= 7.5 AND "hemoglobin_a1c_hba1c" <= 10.5 | 0.082031 |
CREATE TABLE lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime TIME)
CREATE TABLE treatment (treatmentid NUMBER, patientunitstayid NUMBER, treatmentname CLOB, treatmenttime TIME)
CREATE TABLE cost (costid NUMBER, uniquepid CLOB, patienthealthsystemstayid NUMBER, eventtype CLOB, eventid NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE medication (medicationid NUMBER, patientunitstayid NUMBER, drugname CLOB, dosage CLOB, routeadmin CLOB, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE allergy (allergyid NUMBER, patientunitstayid NUMBER, drugname CLOB, allergyname CLOB, allergytime TIME)
CREATE TABLE intakeoutput (intakeoutputid NUMBER, patientunitstayid NUMBER, cellpath CLOB, celllabel CLOB, cellvaluenumeric NUMBER, intakeoutputtime TIME)
CREATE TABLE diagnosis (diagnosisid NUMBER, patientunitstayid NUMBER, diagnosisname CLOB, diagnosistime TIME, icd9code CLOB)
CREATE TABLE patient (uniquepid CLOB, patienthealthsystemstayid NUMBER, patientunitstayid NUMBER, gender CLOB, age CLOB, ethnicity CLOB, hospitalid NUMBER, wardid NUMBER, admissionheight NUMBER, admissionweight NUMBER, dischargeweight NUMBER, hospitaladmittime TIME, hospitaladmitsource CLOB, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus CLOB)
CREATE TABLE vitalperiodic (vitalperiodicid NUMBER, patientunitstayid NUMBER, temperature NUMBER, sao2 NUMBER, heartrate NUMBER, respiration NUMBER, systemicsystolic NUMBER, systemicdiastolic NUMBER, systemicmean NUMBER, observationtime TIME)
CREATE TABLE microlab (microlabid NUMBER, patientunitstayid NUMBER, culturesite CLOB, organism CLOB, culturetakentime TIME)
| what is the name of the procedure that patient 030-80604 has undergone two times since 120 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 = '030-80604')) AND DATETIME(treatment.treatmenttime) >= DATETIME(CURRENT_TIME(), '-120 month') GROUP BY treatment.treatmentname) AS t1 WHERE t1.c1 = 2 | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '030-80604' 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(), '-120 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 PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
CREATE TABLE CloseReasonTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE SuggestedEdits (Id NUMBER, PostId NUMBER, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId NUMBER, Comment CLOB, Text CLOB, Title CLOB, Tags CLOB, RevisionGUID other)
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 ReviewTaskTypes (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 VoteTypes (Id NUMBER, Name CLOB)
CREATE TABLE Posts (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId NUMBER)
CREATE TABLE PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId NUMBER)
CREATE TABLE Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount NUMBER)
CREATE TABLE ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId NUMBER)
CREATE TABLE Comments (Id NUMBER, PostId NUMBER, Score NUMBER, Text CLOB, CreationDate TIME, UserDisplayName CLOB, UserId NUMBER, ContentLicense CLOB)
CREATE TABLE PostTags (PostId NUMBER, TagId NUMBER)
CREATE TABLE PostHistoryTypes (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 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 ReviewTaskStates (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Users (Id NUMBER, Reputation NUMBER, CreationDate TIME, DisplayName CLOB, LastAccessDate TIME, WebsiteUrl CLOB, Location CLOB, AboutMe CLOB, Views NUMBER, UpVotes NUMBER, DownVotes NUMBER, ProfileImageUrl CLOB, EmailHash CLOB, AccountId NUMBER)
CREATE TABLE PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
CREATE TABLE FlagTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
CREATE TABLE ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
CREATE TABLE ReviewTaskResultTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
CREATE TABLE SuggestedEditVotes (Id NUMBER, SuggestedEditId NUMBER, UserId NUMBER, VoteTypeId NUMBER, CreationDate TIME, TargetUserId NUMBER, TargetRepChange NUMBER)
CREATE TABLE ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment CLOB)
CREATE TABLE PendingFlags (Id NUMBER, FlagTypeId NUMBER, PostId NUMBER, CreationDate TIME, CloseReasonTypeId NUMBER, CloseAsOffTopicReasonTypeId NUMBER, DuplicateOfQuestionId NUMBER, BelongsOnBaseHostAddress CLOB)
| Total Users that Access SOpt in the last 30 days. | SELECT COUNT(*) FROM Users WHERE DATEDIFF(day, LastAccessDate, CURRENT_TIMESTAMP()) < 30 | SELECT COUNT(*) FROM "Users" WHERE DATEDIFF(CAST("day" AS DATETIME), CAST("LastAccessDate" AS DATETIME), CURRENT_TIMESTAMP) < 30 | 0.125 |
CREATE TABLE table_56631 ("Pick #" FLOAT, "CFL Team" CLOB, "Player" CLOB, "Position" CLOB, "College" CLOB)
| Which Position has a Player of patrick macdonald? | SELECT "Position" FROM table_56631 WHERE "Player" = 'patrick macdonald' | SELECT "Position" FROM "table_56631" WHERE "Player" = 'patrick macdonald' | 0.071289 |
CREATE TABLE table_name_37 (player VARCHAR2, place VARCHAR2)
| what player has place t10 | SELECT player FROM table_name_37 WHERE place = "t10" | SELECT "player" FROM "table_name_37" WHERE "place" = "t10" | 0.056641 |
CREATE TABLE table_14342592_7 (touchdowns NUMBER, player VARCHAR2)
| How many touchdowns were there when Heston was in play? | SELECT MAX(touchdowns) FROM table_14342592_7 WHERE player = "Heston" | SELECT MAX("touchdowns") FROM "table_14342592_7" WHERE "Heston" = "player" | 0.072266 |
CREATE TABLE table_2155350_2 (cab_size VARCHAR2, category VARCHAR2)
| Name the number of cab size for 4 medium tanker | SELECT COUNT(cab_size) FROM table_2155350_2 WHERE category = "4 Medium tanker" | SELECT COUNT("cab_size") FROM "table_2155350_2" WHERE "4 Medium tanker" = "category" | 0.082031 |
CREATE TABLE musical (Musical_ID NUMBER, Name CLOB, Year NUMBER, Award CLOB, Category CLOB, Nominee CLOB, Result CLOB)
CREATE TABLE actor (Actor_ID NUMBER, Name CLOB, Musical_ID NUMBER, Character CLOB, Duration CLOB, age NUMBER)
| How many actors have appeared in each musical Plot them as bar chart, and could you rank from high to low by the the total number ? | SELECT T2.Name, COUNT(*) FROM actor AS T1 JOIN musical AS T2 ON T1.Musical_ID = T2.Musical_ID GROUP BY T1.Musical_ID ORDER BY COUNT(*) DESC | SELECT "T2"."Name", COUNT(*) FROM "actor" "T1" JOIN "musical" "T2" ON "T1"."Musical_ID" = "T2"."Musical_ID" GROUP BY "T1"."Musical_ID" ORDER BY COUNT(*) DESC | 0.15332 |
CREATE TABLE table_42390 ("Year" FLOAT, "Result" FLOAT, "World Rank" CLOB, "Location" CLOB, "Date" CLOB)
| When was Steve Williams in Zurich and his result was 10.07? | SELECT "Date" FROM table_42390 WHERE "Location" = 'zurich' AND "Result" = '10.07' | SELECT "Date" FROM "table_42390" WHERE "Location" = 'zurich' AND "Result" = '10.07' | 0.081055 |
CREATE TABLE table_name_22 (pinyin VARCHAR2, simplified VARCHAR2)
| What is the pinyin when the simplified shows ? | SELECT pinyin FROM table_name_22 WHERE simplified = "南山区" | SELECT "pinyin" FROM "table_name_22" WHERE "simplified" = "南山区" | 0.061523 |
CREATE TABLE Manufacturers (Code NUMBER, Name VARCHAR2, Headquarter VARCHAR2, Founder VARCHAR2, Revenue FLOAT)
CREATE TABLE Products (Code NUMBER, Name VARCHAR2, Price NUMBER, Manufacturer NUMBER)
| For those records from the products and each product's manufacturer, return a bar chart about the distribution of headquarter and the sum of code , and group by attribute headquarter. | SELECT T2.Headquarter, T1.Code FROM Products AS T1 JOIN Manufacturers AS T2 ON T1.Manufacturer = T2.Code GROUP BY T2.Headquarter | SELECT "T2"."Headquarter", "T1"."Code" FROM "Products" "T1" JOIN "Manufacturers" "T2" ON "T1"."Manufacturer" = "T2"."Code" GROUP BY "T2"."Headquarter" | 0.146484 |
CREATE TABLE table_23525 ("Round" FLOAT, "Circuit/Location" CLOB, "Pole Position" CLOB, "Fastest Lap" CLOB, "Winning Driver" CLOB, "Winning Team" CLOB, "Highest Scoring Team" CLOB, "Winning Privateer" CLOB)
| How many rounds were there in Karlskoga Motorstadion with Roger Eriksson at the pole position? | SELECT COUNT("Round") FROM table_23525 WHERE "Circuit/Location" = 'Karlskoga Motorstadion' AND "Pole Position" = 'Roger Eriksson' | SELECT COUNT("Round") FROM "table_23525" WHERE "Circuit/Location" = 'Karlskoga Motorstadion' AND "Pole Position" = 'Roger Eriksson' | 0.12793 |
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE 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)
| provide the number of patients whose gender is f and drug code is amid200? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.gender = "F" AND prescriptions.formulary_drug_cd = "AMID200" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "prescriptions" ON "AMID200" = "prescriptions"."formulary_drug_cd" AND "demographic"."hadm_id" = "prescriptions"."hadm_id" WHERE "F" = "demographic"."gender" | 0.225586 |
CREATE TABLE table_34216 ("Player" CLOB, "Position" CLOB, "Games started" CLOB, "Hometown" CLOB, "Height" CLOB, "Weight" FLOAT, "Class" CLOB, "Previous experience" CLOB)
| Player of herbert s. graver has what position? | SELECT "Position" FROM table_34216 WHERE "Player" = 'herbert s. graver' | SELECT "Position" FROM "table_34216" WHERE "Player" = 'herbert s. graver' | 0.071289 |
CREATE TABLE table_68486 ("Episode" CLOB, "First aired" CLOB, "Entrepreneur ( s ) " CLOB, "Company or product name" CLOB, "Money requested ( \\u00a3 ) " FLOAT, "Investing Dragon ( s ) " CLOB)
| Name the first aired with money requested more than 85,000 | SELECT "First aired" FROM table_68486 WHERE "Money requested (\u00a3)" > '85,000' | SELECT "First aired" FROM "table_68486" WHERE "Money requested (\u00a3)" > '85,000' | 0.081055 |
CREATE TABLE table_name_88 (award VARCHAR2, year NUMBER)
| Which award took place after 2009? | SELECT award FROM table_name_88 WHERE year > 2009 | SELECT "award" FROM "table_name_88" WHERE "year" > 2009 | 0.053711 |
CREATE TABLE Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount 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 FlagTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE CloseReasonTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE SuggestedEdits (Id NUMBER, PostId NUMBER, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId NUMBER, Comment CLOB, Text CLOB, Title CLOB, Tags CLOB, RevisionGUID other)
CREATE TABLE PostHistoryTypes (Id NUMBER, Name CLOB)
CREATE TABLE VoteTypes (Id NUMBER, Name CLOB)
CREATE TABLE ReviewTaskResultTypes (Id NUMBER, Name CLOB, Description CLOB)
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 Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
CREATE TABLE PostTypes (Id NUMBER, Name CLOB)
CREATE TABLE PostTags (PostId NUMBER, TagId NUMBER)
CREATE TABLE Comments (Id NUMBER, PostId NUMBER, Score NUMBER, Text CLOB, CreationDate TIME, UserDisplayName CLOB, UserId NUMBER, ContentLicense CLOB)
CREATE TABLE ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
CREATE TABLE PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId NUMBER)
CREATE TABLE PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId NUMBER)
CREATE TABLE ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment CLOB)
CREATE TABLE ReviewTaskStates (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId NUMBER)
CREATE TABLE PostHistory (Id NUMBER, PostHistoryTypeId NUMBER, PostId NUMBER, RevisionGUID other, CreationDate TIME, UserId NUMBER, UserDisplayName CLOB, Comment CLOB, Text CLOB, ContentLicense CLOB)
CREATE TABLE PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
CREATE TABLE 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 CloseAsOffTopicReasonTypes (Id NUMBER, IsUniversal BOOLEAN, InputTitle CLOB, MarkdownInputGuidance CLOB, MarkdownPostOwnerGuidance CLOB, MarkdownPrivilegedUserGuidance CLOB, MarkdownConcensusDescription CLOB, CreationDate TIME, CreationModeratorId NUMBER, ApprovalDate TIME, ApprovalModeratorId NUMBER, DeactivationDate TIME, DeactivationModeratorId NUMBER)
CREATE TABLE PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
CREATE TABLE ReviewTaskTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PendingFlags (Id NUMBER, FlagTypeId NUMBER, PostId NUMBER, CreationDate TIME, CloseReasonTypeId NUMBER, CloseAsOffTopicReasonTypeId NUMBER, DuplicateOfQuestionId NUMBER, BelongsOnBaseHostAddress CLOB)
CREATE TABLE TagSynonyms (Id NUMBER, SourceTagName CLOB, TargetTagName CLOB, CreationDate TIME, OwnerUserId NUMBER, AutoRenameCount NUMBER, LastAutoRename TIME, Score NUMBER, ApprovedByUserId NUMBER, ApprovalDate TIME)
| upvote / downvote ratio. Users with the highest down/up vote ratio | SELECT Id AS "user_link", DownVotes, UpVotes, (DownVotes + UpVotes) AS totalVotes FROM Users WHERE Reputation > 125 AND UpVotes > 1000 ORDER BY totalVotes DESC | SELECT "Id" AS "user_link", "DownVotes", "UpVotes", "DownVotes" + "UpVotes" AS "totalVotes" FROM "Users" WHERE "Reputation" > 125 AND "UpVotes" > 1000 ORDER BY "totalVotes" DESC | 0.172852 |
CREATE TABLE prescriptions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, startdate TIME, enddate TIME, drug CLOB, dose_val_rx CLOB, dose_unit_rx CLOB, route CLOB)
CREATE TABLE outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
CREATE TABLE 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 procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
CREATE TABLE icustays (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, first_careunit CLOB, last_careunit CLOB, first_wardid NUMBER, last_wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE admissions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, admittime TIME, dischtime TIME, admission_type CLOB, admission_location CLOB, discharge_location CLOB, insurance CLOB, language CLOB, marital_status CLOB, ethnicity CLOB, age NUMBER)
CREATE TABLE 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 d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
CREATE TABLE d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
CREATE TABLE transfers (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, eventtype CLOB, careunit CLOB, wardid NUMBER, intime TIME, outtime TIME)
| how many hours has it been since the last time during this hospital encounter that erythromycin was prescribed to patient 49176? | SELECT 24 * (STRFTIME('%j', CURRENT_TIME()) - STRFTIME('%j', prescriptions.startdate)) FROM prescriptions WHERE prescriptions.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 49176 AND admissions.dischtime IS NULL) AND prescriptions.drug = 'erythromycin' ORDER BY prescriptions.startdate DESC LIMIT 1 | WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."dischtime" IS NULL AND "admissions"."subject_id" = 49176 GROUP BY "hadm_id") SELECT 24 * (STRFTIME('%j', CURRENT_TIME()) - STRFTIME('%j', "prescriptions"."startdate")) FROM "prescriptions" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "prescriptions"."hadm_id" WHERE "prescriptions"."drug" = 'erythromycin' AND NOT "_u_0"."" IS NULL ORDER BY "prescriptions"."startdate" DESC FETCH FIRST 1 ROWS ONLY | 0.463867 |
CREATE TABLE Bookings (booking_id NUMBER, customer_id NUMBER, booking_status_code VARCHAR2, returned_damaged_yn VARCHAR2, booking_start_date DATETIME, booking_end_date DATETIME, count_hired VARCHAR2, amount_payable NUMBER, amount_of_discount NUMBER, amount_outstanding NUMBER, amount_of_refund NUMBER)
CREATE TABLE Payments (payment_id NUMBER, booking_id NUMBER, customer_id NUMBER, payment_type_code VARCHAR2, amount_paid_in_full_yn VARCHAR2, payment_date DATETIME, amount_due NUMBER, amount_paid NUMBER)
CREATE TABLE Products_Booked (booking_id NUMBER, product_id NUMBER, returned_yn VARCHAR2, returned_late_yn VARCHAR2, booked_count NUMBER, booked_amount FLOAT)
CREATE TABLE Customers (customer_id NUMBER, coupon_id NUMBER, good_or_bad_customer VARCHAR2, first_name VARCHAR2, last_name VARCHAR2, gender_mf VARCHAR2, date_became_customer DATETIME, date_last_hire DATETIME)
CREATE TABLE View_Product_Availability (product_id NUMBER, booking_id NUMBER, status_date DATETIME, available_yn VARCHAR2)
CREATE TABLE Discount_Coupons (coupon_id NUMBER, date_issued DATETIME, coupon_amount NUMBER)
CREATE TABLE Products_for_Hire (product_id NUMBER, product_type_code VARCHAR2, daily_hire_cost NUMBER, product_name VARCHAR2, product_description VARCHAR2)
| Take the first name of all the good customers as the X-axis and gender of all the good customers as Y-axis in a bar chart, list by the Y in asc. | SELECT first_name, gender_mf FROM Customers WHERE good_or_bad_customer = 'good' ORDER BY gender_mf | SELECT "first_name", "gender_mf" FROM "Customers" WHERE "good_or_bad_customer" = 'good' ORDER BY "gender_mf" | 0.105469 |
CREATE TABLE table_24216139_2 (institution VARCHAR2, nickname VARCHAR2)
| Name the institution for purple aces | SELECT institution FROM table_24216139_2 WHERE nickname = "Purple Aces" | SELECT "institution" FROM "table_24216139_2" WHERE "Purple Aces" = "nickname" | 0.075195 |
CREATE TABLE table_79594 ("Rank" FLOAT, "Total Population ( 2010 ) " FLOAT, "Indian American Population ( 2010 ) " FLOAT, "% Indian American" FLOAT, "Asian American Population ( 2010 ) " FLOAT, "% Asian American" FLOAT)
| What's the total population when the Asian American population is less than 60,072, the Indian American population is more than 14,696 and is 4.2% Indian American? | SELECT SUM("Total Population (2010)") FROM table_79594 WHERE "Asian American Population (2010)" < '60,072' AND "Indian American Population (2010)" > '14,696' AND "% Indian American" = '4.2' | SELECT SUM("Total Population (2010)") FROM "table_79594" WHERE "% Indian American" = '4.2' AND "Asian American Population (2010)" < '60,072' AND "Indian American Population (2010)" > '14,696' | 0.186523 |
CREATE TABLE table_74201 ("Game" FLOAT, "Date" CLOB, "Team" CLOB, "Score" CLOB, "High points" CLOB, "High rebounds" CLOB, "High assists" CLOB, "Location Attendance" CLOB, "Record" CLOB)
| What is the date for the game 35? | SELECT "Date" FROM table_74201 WHERE "Game" = '35' | SELECT "Date" FROM "table_74201" WHERE "Game" = '35' | 0.050781 |
CREATE TABLE table_204_575 (id NUMBER, "place" NUMBER, "position" CLOB, "number" NUMBER, "name" CLOB, "league one" NUMBER, "fa cup" NUMBER, "league cup" NUMBER, "football league trophy" NUMBER, "total" NUMBER)
| who is the only person to have more than 4 assists ? | SELECT "name" FROM table_204_575 WHERE "total" > 4 | SELECT "name" FROM "table_204_575" WHERE "total" > 4 | 0.050781 |
CREATE TABLE table_24282 ("Pick #" FLOAT, "CFL Team" CLOB, "Player" CLOB, "Position" CLOB, "College" CLOB)
| How many clf teams have a pick # of 5? | SELECT COUNT("CFL Team") FROM table_24282 WHERE "Pick #" = '5' | SELECT COUNT("CFL Team") FROM "table_24282" WHERE "Pick #" = '5' | 0.0625 |
CREATE TABLE table_27094070_4 (home_total NUMBER)
| What was the highest home total? | SELECT MAX(home_total) FROM table_27094070_4 | SELECT MAX("home_total") FROM "table_27094070_4" | 0.046875 |
CREATE TABLE table_204_905 (id NUMBER, "team" CLOB, "wins" NUMBER, "losses" NUMBER, "win %" NUMBER, "gb" NUMBER)
| which team had the same number of losses as the new york yankees ' wins ? | SELECT "team" FROM table_204_905 WHERE "team" <> 'new york yankees' AND "losses" = (SELECT "wins" FROM table_204_905 WHERE "team" = 'new york yankees') | SELECT "team" FROM "table_204_905" WHERE "losses" = (SELECT "wins" FROM "table_204_905" WHERE "team" = 'new york yankees') AND "team" <> 'new york yankees' | 0.151367 |
CREATE TABLE course_prerequisite (pre_course_id NUMBER, course_id NUMBER)
CREATE TABLE student (student_id NUMBER, lastname VARCHAR2, firstname VARCHAR2, program_id NUMBER, declare_major VARCHAR2, total_credit NUMBER, total_gpa FLOAT, entered_as VARCHAR2, admit_term NUMBER, predicted_graduation_semester NUMBER, degree VARCHAR2, minor VARCHAR2, internship VARCHAR2)
CREATE TABLE instructor (instructor_id NUMBER, name VARCHAR2, uniqname VARCHAR2)
CREATE TABLE course_offering (offering_id NUMBER, course_id NUMBER, semester NUMBER, section_number NUMBER, start_time TIME, end_time TIME, monday VARCHAR2, tuesday VARCHAR2, wednesday VARCHAR2, thursday VARCHAR2, friday VARCHAR2, saturday VARCHAR2, sunday VARCHAR2, has_final_project VARCHAR2, has_final_exam VARCHAR2, textbook VARCHAR2, class_address VARCHAR2, allow_audit VARCHAR2)
CREATE TABLE program (program_id NUMBER, name VARCHAR2, college VARCHAR2, introduction VARCHAR2)
CREATE TABLE offering_instructor (offering_instructor_id NUMBER, offering_id NUMBER, instructor_id NUMBER)
CREATE TABLE semester (semester_id NUMBER, semester VARCHAR2, year NUMBER)
CREATE TABLE course_tags_count (course_id NUMBER, clear_grading NUMBER, pop_quiz NUMBER, group_projects NUMBER, inspirational NUMBER, long_lectures NUMBER, extra_credit NUMBER, few_tests NUMBER, good_feedback NUMBER, tough_tests NUMBER, heavy_papers NUMBER, cares_for_students NUMBER, heavy_assignments NUMBER, respected NUMBER, participation NUMBER, heavy_reading NUMBER, tough_grader NUMBER, hilarious NUMBER, would_take_again NUMBER, good_lecture NUMBER, no_skip NUMBER)
CREATE TABLE course (course_id NUMBER, name VARCHAR2, department VARCHAR2, number VARCHAR2, credits VARCHAR2, advisory_requirement VARCHAR2, enforced_requirement VARCHAR2, description VARCHAR2, num_semesters NUMBER, num_enrolled NUMBER, has_discussion VARCHAR2, has_lab VARCHAR2, has_projects VARCHAR2, has_exams VARCHAR2, num_reviews NUMBER, clarity_score NUMBER, easiness_score NUMBER, helpfulness_score NUMBER)
CREATE TABLE comment_instructor (instructor_id NUMBER, student_id NUMBER, score NUMBER, comment_text VARCHAR2)
CREATE TABLE area (course_id NUMBER, area VARCHAR2)
CREATE TABLE student_record (student_id NUMBER, course_id NUMBER, semester NUMBER, grade VARCHAR2, how VARCHAR2, transfer_source VARCHAR2, earn_credit VARCHAR2, repeat_term VARCHAR2, test_id VARCHAR2)
CREATE TABLE program_requirement (program_id NUMBER, category VARCHAR2, min_credit NUMBER, additional_req VARCHAR2)
CREATE TABLE program_course (program_id NUMBER, course_id NUMBER, workload NUMBER, category VARCHAR2)
CREATE TABLE ta (campus_job_id NUMBER, student_id NUMBER, location VARCHAR2)
CREATE TABLE jobs (job_id NUMBER, job_title VARCHAR2, description VARCHAR2, requirement VARCHAR2, city VARCHAR2, state VARCHAR2, country VARCHAR2, zip NUMBER)
CREATE TABLE gsi (course_offering_id NUMBER, student_id NUMBER)
CREATE TABLE requirement (requirement_id NUMBER, requirement VARCHAR2, college VARCHAR2)
| If I were to declare a major in BIOMATLS , what classes would I need ? | SELECT DISTINCT course.department, course.name, course.number FROM course, program_course WHERE course.department LIKE '%BIOMATLS%' AND program_course.category LIKE 'PreMajor' AND program_course.course_id = course.course_id | SELECT DISTINCT "course"."department", "course"."name", "course"."number" FROM "course" JOIN "program_course" ON "course"."course_id" = "program_course"."course_id" AND "program_course"."category" LIKE 'PreMajor' WHERE "course"."department" LIKE '%BIOMATLS%' | 0.251953 |
CREATE TABLE table_74686 ("Home team" CLOB, "Home team score" CLOB, "Away team" CLOB, "Away team score" CLOB, "Venue" CLOB, "Crowd" FLOAT, "Date" CLOB)
| What was the score for the away team when the home team was Fitzroy? | SELECT "Away team score" FROM table_74686 WHERE "Home team" = 'fitzroy' | SELECT "Away team score" FROM "table_74686" WHERE "Home team" = 'fitzroy' | 0.071289 |
CREATE TABLE table_62562 ("Res." CLOB, "Record" CLOB, "Opponent" CLOB, "Method" CLOB, "Event" CLOB, "Round" CLOB, "Location" CLOB)
| What location was the event ufc: fight for the troops? | SELECT "Location" FROM table_62562 WHERE "Event" = 'ufc: fight for the troops' | SELECT "Location" FROM "table_62562" WHERE "Event" = 'ufc: fight for the troops' | 0.078125 |
CREATE TABLE VoteTypes (Id NUMBER, Name CLOB)
CREATE TABLE PostTypes (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 FlagTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount NUMBER)
CREATE TABLE PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
CREATE TABLE ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
CREATE TABLE PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId NUMBER)
CREATE TABLE PendingFlags (Id NUMBER, FlagTypeId NUMBER, PostId NUMBER, CreationDate TIME, CloseReasonTypeId NUMBER, CloseAsOffTopicReasonTypeId NUMBER, DuplicateOfQuestionId NUMBER, BelongsOnBaseHostAddress CLOB)
CREATE TABLE PostsWithDeleted (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
CREATE TABLE Comments (Id NUMBER, PostId NUMBER, Score NUMBER, Text CLOB, CreationDate TIME, UserDisplayName CLOB, UserId NUMBER, ContentLicense CLOB)
CREATE TABLE PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId NUMBER)
CREATE TABLE SuggestedEdits (Id NUMBER, PostId NUMBER, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId NUMBER, Comment CLOB, Text CLOB, Title CLOB, Tags CLOB, RevisionGUID other)
CREATE TABLE ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment CLOB)
CREATE TABLE Users (Id NUMBER, Reputation NUMBER, CreationDate TIME, DisplayName CLOB, LastAccessDate TIME, WebsiteUrl CLOB, Location CLOB, AboutMe CLOB, Views NUMBER, UpVotes NUMBER, DownVotes NUMBER, ProfileImageUrl CLOB, EmailHash CLOB, AccountId NUMBER)
CREATE TABLE ReviewTaskTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
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 ReviewTaskStates (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
CREATE TABLE SuggestedEditVotes (Id NUMBER, SuggestedEditId NUMBER, UserId NUMBER, VoteTypeId NUMBER, CreationDate TIME, TargetUserId NUMBER, TargetRepChange NUMBER)
CREATE TABLE PostHistoryTypes (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 CloseReasonTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId NUMBER)
CREATE TABLE PostTags (PostId NUMBER, TagId 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)
| intel tag this year count and stats. | WITH IntelTags AS (SELECT Id, TagName, Count FROM Tags WHERE Tags.TagName LIKE 'intel-%' OR Tags.TagName = 'intel'), IntelPostIds AS (SELECT DISTINCT PostTags.PostId FROM PostTags INNER JOIN IntelTags ON IntelTags.Id = PostTags.TagId) SELECT MONTH(CreationDate) AS Month, COUNT(Id) AS Count FROM Posts INNER JOIN IntelPostIds ON IntelPostIds.PostId = Posts.Id WHERE YEAR(CreationDate) = YEAR(CURRENT_TIMESTAMP()) - 1 GROUP BY MONTH(CreationDate) | WITH "IntelTags" AS (SELECT "Id" FROM "Tags" WHERE "Tags"."TagName" = 'intel' OR "Tags"."TagName" LIKE 'intel-%'), "IntelPostIds" AS (SELECT DISTINCT "PostTags"."PostId" FROM "PostTags" JOIN "IntelTags" ON "IntelTags"."Id" = "PostTags"."TagId") SELECT MONTH("CreationDate") AS "Month", COUNT("Id") AS "Count" FROM "Posts" JOIN "IntelPostIds" ON "IntelPostIds"."PostId" = "Posts"."Id" WHERE YEAR("CreationDate") = YEAR(CURRENT_TIMESTAMP) - 1 GROUP BY MONTH("CreationDate") | 0.459961 |
CREATE TABLE table_203_504 (id NUMBER, "#" NUMBER, "date" CLOB, "venue" CLOB, "opponent" CLOB, "score" CLOB, "result" CLOB, "competition" CLOB)
| which competition took place after the game in egypt ? | SELECT "competition" FROM table_203_504 WHERE "date" > (SELECT "date" FROM table_203_504 WHERE "opponent" = 'egypt') ORDER BY "date" LIMIT 1 | SELECT "competition" FROM "table_203_504" WHERE "date" > (SELECT "date" FROM "table_203_504" WHERE "opponent" = 'egypt') ORDER BY "date" FETCH FIRST 1 ROWS ONLY | 0.15625 |
CREATE TABLE table_13459 ("Rank" CLOB, "Nation" CLOB, "Gold" FLOAT, "Silver" FLOAT, "Bronze" FLOAT, "Total" FLOAT)
| What is the total bronze medals when the silver medals is 0, and 1 is the rank, Brazil (BRA) is the nation, and the gold medals is less than 2? | SELECT SUM("Bronze") FROM table_13459 WHERE "Silver" = '0' AND "Rank" = '1' AND "Nation" = 'brazil (bra)' AND "Gold" < '2' | SELECT SUM("Bronze") FROM "table_13459" WHERE "Gold" < '2' AND "Nation" = 'brazil (bra)' AND "Rank" = '1' AND "Silver" = '0' | 0.121094 |
CREATE TABLE table_1852650_1 (ending_with NUMBER)
| Name the most ending with | SELECT MAX(ending_with) FROM table_1852650_1 | SELECT MAX("ending_with") FROM "table_1852650_1" | 0.046875 |
CREATE TABLE table_39029 ("Saddle cloth" FLOAT, "Horse" CLOB, "Trainer" CLOB, "Jockey" CLOB, "Weight ( kg ) " FLOAT, "Barrier [b ]" CLOB, "Placing" CLOB)
| What place was the horse with a barrier of 20 and weighing less than 54 kg | SELECT "Placing" FROM table_39029 WHERE "Weight (kg)" < '54' AND "Barrier [b ]" = '20' | SELECT "Placing" FROM "table_39029" WHERE "Barrier [b ]" = '20' AND "Weight (kg)" < '54' | 0.085938 |
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