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CREATE TABLE table_24273 ("Round" FLOAT, "Circuit" CLOB, "Date" CLOB, "Pole position" CLOB, "Fastest lap" CLOB, "Winning driver" CLOB, "Winning team" CLOB)
| Who won when Jamie Green had the best lap? | SELECT "Winning driver" FROM table_24273 WHERE "Fastest lap" = 'Jamie Green' | SELECT "Winning driver" FROM "table_24273" WHERE "Fastest lap" = 'Jamie Green' | 0.076172 |
CREATE TABLE table_30008638_1 (miss_water NUMBER, country_territory VARCHAR2)
| How many Miss Waters has Canada had? | SELECT MAX(miss_water) FROM table_30008638_1 WHERE country_territory = "Canada" | SELECT MAX("miss_water") FROM "table_30008638_1" WHERE "Canada" = "country_territory" | 0.083008 |
CREATE TABLE table_74294 ("Player" CLOB, "Starts" FLOAT, "Cuts made" FLOAT, "Best finish" CLOB, "Money list rank" FLOAT, "Earnings ( \\u20ac ) " FLOAT)
| Which player made exactly 26 starts? | SELECT "Player" FROM table_74294 WHERE "Starts" = '26' | SELECT "Player" FROM "table_74294" WHERE "Starts" = '26' | 0.054688 |
CREATE TABLE table_204_679 (id NUMBER, "place" CLOB, "player" CLOB, "country" CLOB, "score" CLOB, "to par" NUMBER, "money ( $ ) " NUMBER)
| which player placed above lawson little ? | SELECT "player" FROM table_204_679 WHERE "place" = (SELECT "place" FROM table_204_679 WHERE "player" = 'lawson little') - 1 | SELECT "player" FROM "table_204_679" WHERE "place" = (SELECT "place" FROM "table_204_679" WHERE "player" = 'lawson little') - 1 | 0.124023 |
CREATE TABLE table_14118521_1 (primary_payload_s_ VARCHAR2, shuttle VARCHAR2, duration VARCHAR2)
| how many primary payload(s) with shuttle being columbia and duration being 13 days, 19 hours, 30 minutes, 4 seconds | SELECT COUNT(primary_payload_s_) FROM table_14118521_1 WHERE shuttle = "Columbia" AND duration = "13 days, 19 hours, 30 minutes, 4 seconds" | SELECT COUNT("primary_payload_s_") FROM "table_14118521_1" WHERE "13 days, 19 hours, 30 minutes, 4 seconds" = "duration" AND "Columbia" = "shuttle" | 0.143555 |
CREATE TABLE customer (cust_ID VARCHAR2, cust_name VARCHAR2, acc_type CHAR, acc_bal NUMBER, no_of_loans NUMBER, credit_score NUMBER, branch_ID NUMBER, state VARCHAR2)
CREATE TABLE bank (branch_ID NUMBER, bname VARCHAR2, no_of_customers NUMBER, city VARCHAR2, state VARCHAR2)
CREATE TABLE loan (loan_ID VARCHAR2, loan_type VARCHAR2, cust_ID VARCHAR2, branch_ID VARCHAR2, amount NUMBER)
| Return a histogram on what are the different names and credit scores of customers who have taken a loan?, and show by the total number from high to low. | SELECT cust_name, credit_score FROM customer AS T1 JOIN loan AS T2 ON T1.cust_ID = T2.cust_ID ORDER BY credit_score DESC | SELECT "cust_name", "credit_score" FROM "customer" "T1" JOIN "loan" "T2" ON "T1"."cust_ID" = "T2"."cust_ID" ORDER BY "credit_score" DESC | 0.132813 |
CREATE TABLE table_name_62 (attendance NUMBER, date VARCHAR2, week VARCHAR2)
| What was the attendance at the game before week 8, held on October 25, 1981? | SELECT SUM(attendance) FROM table_name_62 WHERE date = "october 25, 1981" AND week < 8 | SELECT SUM("attendance") FROM "table_name_62" WHERE "date" = "october 25, 1981" AND "week" < 8 | 0.091797 |
CREATE TABLE table_name_51 (result VARCHAR2, date VARCHAR2)
| What result has January 21, 2002 as the date? | SELECT result FROM table_name_51 WHERE date = "january 21, 2002" | SELECT "result" FROM "table_name_51" WHERE "date" = "january 21, 2002" | 0.068359 |
CREATE TABLE table_587 ("Institution" CLOB, "Location" CLOB, "Nickname" CLOB, "Current Conference" CLOB, "Classification" CLOB)
| What's the classification of the institution nicknamed Dolphins? | SELECT "Classification" FROM table_587 WHERE "Nickname" = 'Dolphins' | SELECT "Classification" FROM "table_587" WHERE "Nickname" = 'Dolphins' | 0.068359 |
CREATE TABLE table_name_14 (Id VARCHAR2)
| What is the 1995 GDP when 1990 GDP is 441 and 1985 GDP is less than 359? | SELECT MIN(1995) FROM table_name_14 WHERE 1990 = 441 AND 1985 < 359 | SELECT MIN(1995) FROM "table_name_14" WHERE FALSE | 0.047852 |
CREATE TABLE table_204_146 (id NUMBER, "tie" NUMBER, "home team" CLOB, "score" CLOB, "away team" CLOB, "attendance" NUMBER)
| which game had the least number of people in attendance ? | SELECT "home team" FROM table_204_146 ORDER BY "attendance" LIMIT 1 | SELECT "home team" FROM "table_204_146" ORDER BY "attendance" FETCH FIRST 1 ROWS ONLY | 0.083008 |
CREATE TABLE table_203_496 (id NUMBER, "pos" NUMBER, "country" CLOB, "gold" NUMBER, "silver" NUMBER, "bronze" NUMBER, "total" NUMBER)
| how many medals total did poland win ? | SELECT "total" FROM table_203_496 WHERE "country" = 'poland' | SELECT "total" FROM "table_203_496" WHERE "country" = 'poland' | 0.060547 |
CREATE TABLE table_name_49 (round VARCHAR2, pick__number VARCHAR2)
| What is the total round of the 129 pick? | SELECT COUNT(round) FROM table_name_49 WHERE pick__number = 129 | SELECT COUNT("round") FROM "table_name_49" WHERE "pick__number" = 129 | 0.067383 |
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)
| give me the number of patients whose diagnoses icd9 code is 4142 and drug type is main? | 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 = "4142" AND prescriptions.drug_type = "MAIN" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "4142" = "diagnoses"."icd9_code" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" JOIN "prescriptions" ON "MAIN" = "prescriptions"."drug_type" AND "demographic"."hadm_id" = "prescriptions"."hadm_id" | 0.283203 |
CREATE TABLE table_30526 ("Name of Rivalry" CLOB, "Rival" CLOB, "Games Played" FLOAT, "First Meeting" FLOAT, "Last Meeting" FLOAT, "AU Won" FLOAT, "AU Lost" FLOAT, "Ties" FLOAT, "Streak" CLOB, "Latest win" CLOB)
| what are all the adversary where the beginning is 1899 | SELECT "Rival" FROM table_30526 WHERE "First Meeting" = '1899' | SELECT "Rival" FROM "table_30526" WHERE "First Meeting" = '1899' | 0.0625 |
CREATE TABLE table_76447 ("Rank" FLOAT, "Nation" CLOB, "Gold" FLOAT, "Silver" FLOAT, "Bronze" FLOAT, "Total" FLOAT)
| Which Rank has a Nation of south korea, and a Silver larger than 0? | SELECT SUM("Rank") FROM table_76447 WHERE "Nation" = 'south korea' AND "Silver" > '0' | SELECT SUM("Rank") FROM "table_76447" WHERE "Nation" = 'south korea' AND "Silver" > '0' | 0.084961 |
CREATE TABLE table_45542 ("Driver" CLOB, "Team" CLOB, "Laps" FLOAT, "Time/Retired" CLOB, "Grid" FLOAT, "Points" FLOAT)
| Which driver had 248 laps? | SELECT "Driver" FROM table_45542 WHERE "Laps" = '248' | SELECT "Driver" FROM "table_45542" WHERE "Laps" = '248' | 0.053711 |
CREATE TABLE table_24594 ("Year" FLOAT, "Date" CLOB, "Driver" CLOB, "Team" CLOB, "Manufacturer" CLOB, "Laps" CLOB, "Miles ( km ) " CLOB, "Race Time" CLOB, "Average Speed ( mph ) " CLOB, "Report" CLOB)
| How many laps were driven in 2009? | SELECT "Laps" FROM table_24594 WHERE "Year" = '2009' | SELECT "Laps" FROM "table_24594" WHERE "Year" = '2009' | 0.052734 |
CREATE TABLE table_76013 ("Publication" CLOB, "Country" CLOB, "Accolade" CLOB, "Year" FLOAT, "Rank" CLOB)
| Which rank's country is the US when the accolade is 40 best albums of the year? | SELECT "Rank" FROM table_76013 WHERE "Country" = 'us' AND "Accolade" = '40 best albums of the year' | SELECT "Rank" FROM "table_76013" WHERE "Accolade" = '40 best albums of the year' AND "Country" = 'us' | 0.098633 |
CREATE TABLE table_76776 ("Round" FLOAT, "Pick" FLOAT, "Player" CLOB, "Position" CLOB, "Nationality" CLOB, "College/Junior Team" CLOB)
| What is the nationality of player corey fienhage, who has a pick less than 104? | SELECT "Nationality" FROM table_76776 WHERE "Pick" < '104' AND "Player" = 'corey fienhage' | SELECT "Nationality" FROM "table_76776" WHERE "Pick" < '104' AND "Player" = 'corey fienhage' | 0.089844 |
CREATE TABLE table_19001175_1 (wins NUMBER)
| Name the minimum wins | SELECT MIN(wins) FROM table_19001175_1 | SELECT MIN("wins") FROM "table_19001175_1" | 0.041016 |
CREATE TABLE table_name_13 (fuml NUMBER, att VARCHAR2, long VARCHAR2)
| I want to know the average Fuml for Att of 5 and long more than 7 | SELECT AVG(fuml) FROM table_name_13 WHERE att = 5 AND long > 7 | SELECT AVG("fuml") FROM "table_name_13" WHERE "att" = 5 AND "long" > 7 | 0.068359 |
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 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 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 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 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 microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
CREATE TABLE icustays (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, first_careunit CLOB, last_careunit CLOB, first_wardid NUMBER, last_wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE 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 outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
CREATE TABLE procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE admissions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, admittime TIME, dischtime TIME, admission_type CLOB, admission_location CLOB, discharge_location CLOB, insurance CLOB, language CLOB, marital_status CLOB, ethnicity CLOB, age NUMBER)
CREATE TABLE d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
| have patient 5520 been to the er during the last year? | SELECT COUNT(*) > 0 FROM admissions WHERE admissions.subject_id = 5520 AND admissions.admission_location = 'emergency room admit' AND DATETIME(admissions.admittime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year') | SELECT COUNT(*) > 0 FROM "admissions" WHERE "admissions"."admission_location" = 'emergency room admit' AND "admissions"."subject_id" = 5520 AND DATETIME("admissions"."admittime", 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year') | 0.244141 |
CREATE TABLE table_22822559_4 (high_rebounds VARCHAR2, date VARCHAR2)
| What was the total number of rebounds on november 27? | SELECT COUNT(high_rebounds) FROM table_22822559_4 WHERE date = "November 27" | SELECT COUNT("high_rebounds") FROM "table_22822559_4" WHERE "November 27" = "date" | 0.080078 |
CREATE TABLE cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
CREATE TABLE d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE transfers (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, eventtype CLOB, careunit CLOB, wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE 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 patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
CREATE TABLE procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE 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 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 microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
CREATE TABLE admissions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, admittime TIME, dischtime TIME, admission_type CLOB, admission_location CLOB, discharge_location CLOB, insurance CLOB, language CLOB, marital_status CLOB, ethnicity CLOB, age NUMBER)
CREATE TABLE d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
| what is the ingesting method of amitriptyline hcl? | SELECT DISTINCT prescriptions.route FROM prescriptions WHERE prescriptions.drug = 'amitriptyline hcl' | SELECT DISTINCT "prescriptions"."route" FROM "prescriptions" WHERE "prescriptions"."drug" = 'amitriptyline hcl' | 0.108398 |
CREATE TABLE table_204_79 (id NUMBER, "season" CLOB, "tier" NUMBER, "division" CLOB, "place" CLOB)
| which season was the only season the team placed in tier 4 ? | SELECT "season" FROM table_204_79 WHERE "tier" = 4 | SELECT "season" FROM "table_204_79" WHERE "tier" = 4 | 0.050781 |
CREATE TABLE Assessment_Notes (notes_id NUMBER, student_id NUMBER, teacher_id NUMBER, date_of_notes DATETIME, text_of_notes VARCHAR2, other_details VARCHAR2)
CREATE TABLE Ref_Incident_Type (incident_type_code VARCHAR2, incident_type_description VARCHAR2)
CREATE TABLE Ref_Detention_Type (detention_type_code VARCHAR2, detention_type_description VARCHAR2)
CREATE TABLE Addresses (address_id NUMBER, line_1 VARCHAR2, line_2 VARCHAR2, line_3 VARCHAR2, city VARCHAR2, zip_postcode VARCHAR2, state_province_county VARCHAR2, country VARCHAR2, other_address_details VARCHAR2)
CREATE TABLE Student_Addresses (student_id NUMBER, address_id NUMBER, date_address_from DATETIME, date_address_to DATETIME, monthly_rental NUMBER, other_details VARCHAR2)
CREATE TABLE Students_in_Detention (student_id NUMBER, detention_id NUMBER, incident_id NUMBER)
CREATE TABLE Behavior_Incident (incident_id NUMBER, incident_type_code VARCHAR2, student_id NUMBER, date_incident_start DATETIME, date_incident_end DATETIME, incident_summary VARCHAR2, recommendations VARCHAR2, other_details VARCHAR2)
CREATE TABLE Students (student_id NUMBER, address_id NUMBER, first_name VARCHAR2, middle_name VARCHAR2, last_name VARCHAR2, cell_mobile_number VARCHAR2, email_address VARCHAR2, date_first_rental DATETIME, date_left_university DATETIME, other_student_details VARCHAR2)
CREATE TABLE Teachers (teacher_id NUMBER, address_id NUMBER, first_name VARCHAR2, middle_name VARCHAR2, last_name VARCHAR2, gender VARCHAR2, cell_mobile_number VARCHAR2, email_address VARCHAR2, other_details VARCHAR2)
CREATE TABLE Ref_Address_Types (address_type_code VARCHAR2, address_type_description VARCHAR2)
CREATE TABLE Detention (detention_id NUMBER, detention_type_code VARCHAR2, teacher_id NUMBER, datetime_detention_start DATETIME, datetime_detention_end DATETIME, detention_summary VARCHAR2, other_details VARCHAR2)
| Show the number of date of notes from each date of notes, could you display by the Y in descending? | SELECT date_of_notes, COUNT(date_of_notes) FROM Assessment_Notes ORDER BY COUNT(date_of_notes) DESC | SELECT "date_of_notes", COUNT("date_of_notes") FROM "Assessment_Notes" ORDER BY COUNT("date_of_notes") DESC | 0.104492 |
CREATE TABLE table_46817 ("Place" CLOB, "Player" CLOB, "Country" CLOB, "Score" CLOB, "To par" CLOB)
| Which player is from England? | SELECT "Player" FROM table_46817 WHERE "Country" = 'england' | SELECT "Player" FROM "table_46817" WHERE "Country" = 'england' | 0.060547 |
CREATE TABLE table_65167 ("Album#" CLOB, "English Title" CLOB, "Chinese ( Traditional ) " CLOB, "Chinese ( Simplified ) " CLOB, "Release date" CLOB, "Label" CLOB)
| What is the traditional Chinese name for the record Beautiful? | SELECT "Chinese (Traditional)" FROM table_65167 WHERE "English Title" = 'beautiful' | SELECT "Chinese (Traditional)" FROM "table_65167" WHERE "English Title" = 'beautiful' | 0.083008 |
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)
| Visualize the relationship between Team_ID and ACC_Percent , and group by attribute All_Road. | SELECT Team_ID, ACC_Percent FROM basketball_match GROUP BY All_Road | SELECT "Team_ID", "ACC_Percent" FROM "basketball_match" GROUP BY "All_Road" | 0.073242 |
CREATE TABLE Users (Id NUMBER, Reputation NUMBER, CreationDate TIME, DisplayName CLOB, LastAccessDate TIME, WebsiteUrl CLOB, Location CLOB, AboutMe CLOB, Views NUMBER, UpVotes NUMBER, DownVotes NUMBER, ProfileImageUrl CLOB, EmailHash CLOB, AccountId NUMBER)
CREATE TABLE Comments (Id NUMBER, PostId NUMBER, Score NUMBER, Text CLOB, CreationDate TIME, UserDisplayName CLOB, UserId NUMBER, ContentLicense CLOB)
CREATE TABLE PostHistoryTypes (Id NUMBER, Name CLOB)
CREATE TABLE ReviewTaskStates (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
CREATE TABLE Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount NUMBER)
CREATE TABLE ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment 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 VoteTypes (Id NUMBER, Name CLOB)
CREATE TABLE PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId NUMBER)
CREATE TABLE PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
CREATE TABLE Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
CREATE TABLE CloseReasonTypes (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 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 FlagTypes (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 PostTypes (Id NUMBER, Name CLOB)
CREATE TABLE PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
CREATE TABLE PostsWithDeleted (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE PostHistory (Id NUMBER, PostHistoryTypeId NUMBER, PostId NUMBER, RevisionGUID other, CreationDate TIME, UserId NUMBER, UserDisplayName CLOB, Comment CLOB, Text CLOB, ContentLicense CLOB)
CREATE TABLE 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 PostTags (PostId NUMBER, TagId NUMBER)
CREATE TABLE ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
CREATE TABLE ReviewTaskResultTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE CloseAsOffTopicReasonTypes (Id NUMBER, IsUniversal BOOLEAN, InputTitle CLOB, MarkdownInputGuidance CLOB, MarkdownPostOwnerGuidance CLOB, MarkdownPrivilegedUserGuidance CLOB, MarkdownConcensusDescription CLOB, CreationDate TIME, CreationModeratorId NUMBER, ApprovalDate TIME, ApprovalModeratorId NUMBER, DeactivationDate TIME, DeactivationModeratorId NUMBER)
CREATE TABLE 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)
| Questions posted with top 10 most view counts given a tag and the questions' duration. | SELECT p1.Title AS "Question Title", 'http://www.stackoverflow.com/questions/' + CAST(p1.Id AS TEXT) AS "URL", p1.ViewCount AS "Number of Views" FROM Posts AS p1, PostTags AS ptags1, Tags AS t1, PostTypes AS ptypes1 WHERE p1.PostTypeId = ptypes1.Id AND ptypes1.Id = 1 AND p1.Id = ptags1.PostId AND ptags1.TagId = t1.Id AND t1.TagName = '##TagName##' AND p1.CreationDate >= '##startdate##' AND p1.CreationDate <= '##enddate##' ORDER BY 'NUMBER OF VIEWS' DESC LIMIT 10 | SELECT "p1"."Title" AS "Question Title", CONCAT('http://www.stackoverflow.com/questions/', CAST("p1"."Id" AS CLOB)) AS "URL", "p1"."ViewCount" AS "Number of Views" FROM "Posts" "p1" JOIN "PostTags" "ptags1" ON "p1"."Id" = "ptags1"."PostId" JOIN "PostTypes" "ptypes1" ON "p1"."PostTypeId" = "ptypes1"."Id" AND "ptypes1"."Id" = 1 JOIN "Tags" "t1" ON "ptags1"."TagId" = "t1"."Id" AND "t1"."TagName" = '##TagName##' WHERE "p1"."CreationDate" <= '##enddate##' AND "p1"."CreationDate" >= '##startdate##' ORDER BY 'NUMBER OF VIEWS' DESC FETCH FIRST 10 ROWS ONLY | 0.541016 |
CREATE TABLE news_report (journalist_ID NUMBER, Event_ID NUMBER, Work_Type CLOB)
CREATE TABLE journalist (journalist_ID NUMBER, Name CLOB, Nationality CLOB, Age CLOB, Years_working NUMBER)
CREATE TABLE event (Event_ID NUMBER, Date CLOB, Venue CLOB, Name CLOB, Event_Attendance NUMBER)
| Visualize the average experience working length of journalists working on different role type using a bar chart, and could you rank in descending by the total number? | SELECT Work_Type, AVG(Years_working) FROM journalist AS t1 JOIN news_report AS t2 ON t1.journalist_ID = t2.journalist_ID GROUP BY t2.Work_Type ORDER BY AVG(Years_working) DESC | SELECT "Work_Type", AVG("Years_working") FROM "journalist" "t1" JOIN "news_report" "t2" ON "t1"."journalist_ID" = "t2"."journalist_ID" GROUP BY "t2"."Work_Type" ORDER BY AVG("Years_working") DESC | 0.19043 |
CREATE TABLE prescriptions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, startdate TIME, enddate TIME, drug CLOB, dose_val_rx CLOB, dose_unit_rx CLOB, route CLOB)
CREATE TABLE procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE admissions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, admittime TIME, dischtime TIME, admission_type CLOB, admission_location CLOB, discharge_location CLOB, insurance CLOB, language CLOB, marital_status CLOB, ethnicity CLOB, age NUMBER)
CREATE TABLE transfers (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, eventtype CLOB, careunit CLOB, wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
CREATE TABLE inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
CREATE TABLE icustays (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, first_careunit CLOB, last_careunit CLOB, first_wardid NUMBER, last_wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
CREATE TABLE 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 patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
CREATE TABLE labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE d_icd_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 cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
| when was the first time on the first hospital visit that patient 20441 had a procedure? | SELECT procedures_icd.charttime FROM procedures_icd WHERE procedures_icd.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 20441 AND NOT admissions.dischtime IS NULL ORDER BY admissions.admittime LIMIT 1) ORDER BY procedures_icd.charttime LIMIT 1 | WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 20441 AND NOT "admissions"."dischtime" IS NULL GROUP BY "hadm_id" ORDER BY "admissions"."admittime" FETCH FIRST 1 ROWS ONLY) SELECT "procedures_icd"."charttime" FROM "procedures_icd" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "procedures_icd"."hadm_id" WHERE NOT "_u_0"."" IS NULL ORDER BY "procedures_icd"."charttime" FETCH FIRST 1 ROWS ONLY | 0.425781 |
CREATE TABLE management (department_ID NUMBER, head_ID NUMBER, temporary_acting CLOB)
CREATE TABLE department (Department_ID NUMBER, Name CLOB, Creation CLOB, Ranking NUMBER, Budget_in_Billions FLOAT, Num_Employees FLOAT)
CREATE TABLE head (head_ID NUMBER, name CLOB, born_state CLOB, age FLOAT)
| Show average of budget in each year and bin creation time by year in a line chart, and could you rank in descending by the Creation? | SELECT Creation, AVG(Budget_in_Billions) FROM department ORDER BY Creation DESC | SELECT "Creation", AVG("Budget_in_Billions") FROM "department" ORDER BY "Creation" DESC | 0.084961 |
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
| let me know the number of patients with procedure icd9 code 40 who were admitted in hospital before 2103. | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.admityear < "2103" AND procedures.icd9_code = "40" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "procedures" ON "40" = "procedures"."icd9_code" AND "demographic"."hadm_id" = "procedures"."hadm_id" WHERE "2103" > "demographic"."admityear" | 0.209961 |
CREATE TABLE table_66230 ("!Event" FLOAT, "Round" CLOB, "Surface" CLOB, "Winner" CLOB, "Opponent" CLOB, "Result" CLOB)
| Who is iv n navarro's opponent? | SELECT "Opponent" FROM table_66230 WHERE "Result" = 'iván navarro' | SELECT "Opponent" FROM "table_66230" WHERE "Result" = 'iván navarro' | 0.066406 |
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 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 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 vitalperiodic (vitalperiodicid NUMBER, patientunitstayid NUMBER, temperature NUMBER, sao2 NUMBER, heartrate NUMBER, respiration NUMBER, systemicsystolic NUMBER, systemicdiastolic NUMBER, systemicmean NUMBER, observationtime TIME)
CREATE TABLE medication (medicationid NUMBER, patientunitstayid NUMBER, drugname CLOB, dosage CLOB, routeadmin CLOB, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime TIME)
CREATE TABLE allergy (allergyid NUMBER, patientunitstayid NUMBER, drugname CLOB, allergyname CLOB, allergytime TIME)
| calculate the number of patients who had stayed in ward 669. | SELECT COUNT(DISTINCT patient.uniquepid) FROM patient WHERE patient.wardid = 669 | SELECT COUNT(DISTINCT "patient"."uniquepid") FROM "patient" WHERE "patient"."wardid" = 669 | 0.087891 |
CREATE TABLE table_20079931_4 (round VARCHAR2, circuit_location VARCHAR2, pole_position VARCHAR2)
| How many rounds were there in Karlskoga Motorstadion with Roger Eriksson at the pole position? | SELECT COUNT(round) FROM table_20079931_4 WHERE circuit_location = "Karlskoga Motorstadion" AND pole_position = "Roger Eriksson" | SELECT COUNT("round") FROM "table_20079931_4" WHERE "Karlskoga Motorstadion" = "circuit_location" AND "Roger Eriksson" = "pole_position" | 0.132813 |
CREATE TABLE table_name_90 (language VARCHAR2, role VARCHAR2)
| What language is the film with a character named Annabelle? | SELECT language FROM table_name_90 WHERE role = "annabelle" | SELECT "language" FROM "table_name_90" WHERE "annabelle" = "role" | 0.063477 |
CREATE TABLE table_name_20 (margin_of_victory VARCHAR2, winning_score VARCHAR2)
| Can you tell me the Margin of victory that has the Winning score of 67-69-67-69=272? | SELECT margin_of_victory FROM table_name_20 WHERE winning_score = 67 - 69 - 67 - 69 = 272 | SELECT "margin_of_victory" FROM "table_name_20" WHERE "winning_score" = FALSE | 0.075195 |
CREATE TABLE date_day (month_number NUMBER, day_number NUMBER, year NUMBER, day_name VARCHAR2)
CREATE TABLE flight_stop (flight_id NUMBER, stop_number NUMBER, stop_days CLOB, stop_airport CLOB, arrival_time NUMBER, arrival_airline CLOB, arrival_flight_number NUMBER, departure_time NUMBER, departure_airline CLOB, departure_flight_number NUMBER, stop_time NUMBER)
CREATE TABLE airport_service (city_code VARCHAR2, airport_code VARCHAR2, miles_distant NUMBER, direction VARCHAR2, minutes_distant NUMBER)
CREATE TABLE fare (fare_id NUMBER, from_airport VARCHAR2, to_airport VARCHAR2, fare_basis_code CLOB, fare_airline CLOB, restriction_code CLOB, one_direction_cost NUMBER, round_trip_cost NUMBER, round_trip_required VARCHAR2)
CREATE TABLE food_service (meal_code CLOB, meal_number NUMBER, compartment CLOB, meal_description VARCHAR2)
CREATE TABLE city (city_code VARCHAR2, city_name VARCHAR2, state_code VARCHAR2, country_name VARCHAR2, time_zone_code VARCHAR2)
CREATE TABLE month (month_number NUMBER, month_name CLOB)
CREATE TABLE dual_carrier (main_airline VARCHAR2, low_flight_number NUMBER, high_flight_number NUMBER, dual_airline VARCHAR2, service_name CLOB)
CREATE TABLE flight_fare (flight_id NUMBER, fare_id NUMBER)
CREATE TABLE state (state_code CLOB, state_name CLOB, country_name CLOB)
CREATE TABLE ground_service (city_code CLOB, airport_code CLOB, transport_type CLOB, ground_fare NUMBER)
CREATE TABLE flight (aircraft_code_sequence CLOB, airline_code VARCHAR2, airline_flight CLOB, arrival_time NUMBER, connections NUMBER, departure_time NUMBER, dual_carrier CLOB, flight_days CLOB, flight_id NUMBER, flight_number NUMBER, from_airport VARCHAR2, meal_code CLOB, stops NUMBER, time_elapsed NUMBER, to_airport VARCHAR2)
CREATE TABLE time_interval (period CLOB, begin_time NUMBER, end_time NUMBER)
CREATE TABLE compartment_class (compartment VARCHAR2, class_type VARCHAR2)
CREATE TABLE time_zone (time_zone_code CLOB, time_zone_name CLOB, hours_from_gmt NUMBER)
CREATE TABLE aircraft (aircraft_code VARCHAR2, aircraft_description VARCHAR2, manufacturer VARCHAR2, basic_type VARCHAR2, engines NUMBER, propulsion VARCHAR2, wide_body VARCHAR2, wing_span NUMBER, length NUMBER, weight NUMBER, capacity NUMBER, pay_load NUMBER, cruising_speed NUMBER, range_miles NUMBER, pressurized VARCHAR2)
CREATE TABLE airline (airline_code VARCHAR2, airline_name CLOB, note CLOB)
CREATE TABLE days (days_code VARCHAR2, day_name VARCHAR2)
CREATE TABLE flight_leg (flight_id NUMBER, leg_number NUMBER, leg_flight NUMBER)
CREATE TABLE code_description (code VARCHAR2, description 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 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 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 equipment_sequence (aircraft_code_sequence VARCHAR2, aircraft_code VARCHAR2)
CREATE TABLE class_of_service (booking_class VARCHAR2, rank NUMBER, class_description CLOB)
| list DAILY flights from OAKLAND to BOSTON using UA | SELECT DISTINCT flight.flight_id FROM airport_service AS AIRPORT_SERVICE_0, airport_service AS AIRPORT_SERVICE_1, city AS CITY_0, city AS CITY_1, flight WHERE ((CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'OAKLAND' AND CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'BOSTON' AND flight.from_airport = AIRPORT_SERVICE_0.airport_code AND flight.to_airport = AIRPORT_SERVICE_1.airport_code) AND flight.airline_code = 'UA') AND flight.flight_days = 'DAILY' | SELECT DISTINCT "flight"."flight_id" FROM "airport_service" "AIRPORT_SERVICE_0" JOIN "city" "CITY_0" ON "AIRPORT_SERVICE_0"."city_code" = "CITY_0"."city_code" AND "CITY_0"."city_name" = 'OAKLAND' JOIN "flight" ON "AIRPORT_SERVICE_0"."airport_code" = "flight"."from_airport" AND "flight"."airline_code" = 'UA' AND "flight"."flight_days" = 'DAILY' JOIN "airport_service" "AIRPORT_SERVICE_1" ON "AIRPORT_SERVICE_1"."airport_code" = "flight"."to_airport" JOIN "city" "CITY_1" ON "AIRPORT_SERVICE_1"."city_code" = "CITY_1"."city_code" AND "CITY_1"."city_name" = 'BOSTON' | 0.551758 |
CREATE TABLE swimmer (ID NUMBER, name CLOB, Nationality CLOB, meter_100 FLOAT, meter_200 CLOB, meter_300 CLOB, meter_400 CLOB, meter_500 CLOB, meter_600 CLOB, meter_700 CLOB, Time CLOB)
CREATE TABLE record (ID NUMBER, Result CLOB, Swimmer_ID NUMBER, Event_ID NUMBER)
CREATE TABLE event (ID NUMBER, Name CLOB, Stadium_ID NUMBER, Year CLOB)
CREATE TABLE stadium (ID NUMBER, name CLOB, Capacity NUMBER, City CLOB, Country CLOB, Opening_year NUMBER)
| Give me the comparison about meter_100 over the meter_600 , I want to sort by the Y-axis from high to low. | SELECT meter_600, meter_100 FROM swimmer ORDER BY meter_100 DESC | SELECT "meter_600", "meter_100" FROM "swimmer" ORDER BY "meter_100" DESC | 0.070313 |
CREATE TABLE table_13011 ("Country" CLOB, "Builder" CLOB, "Location" CLOB, "Ship" CLOB, "Class / type" CLOB)
| What is the country of Palmers Shipbuilding and Iron Company? | SELECT "Country" FROM table_13011 WHERE "Builder" = 'palmers shipbuilding and iron company' | SELECT "Country" FROM "table_13011" WHERE "Builder" = 'palmers shipbuilding and iron company' | 0.09082 |
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
| how many patients have been prescribed the drug code lora1? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE prescriptions.formulary_drug_cd = "LORA1" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "prescriptions" ON "LORA1" = "prescriptions"."formulary_drug_cd" AND "demographic"."hadm_id" = "prescriptions"."hadm_id" | 0.189453 |
CREATE TABLE table_16118 ("Year" FLOAT, "Division" FLOAT, "League" CLOB, "Regular Season" CLOB, "Playoffs" CLOB, "Open Cup" CLOB)
| what being the maximum year where regular season is 4th, northwest | SELECT MAX("Year") FROM table_16118 WHERE "Regular Season" = '4th, Northwest' | SELECT MAX("Year") FROM "table_16118" WHERE "Regular Season" = '4th, Northwest' | 0.077148 |
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE 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 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)
| provide the number of patients whose days of hospital stay is greater than 8 and drug name is acetylcysteine 20%? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.days_stay > "8" AND prescriptions.drug = "Acetylcysteine 20%" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "prescriptions" ON "Acetylcysteine 20%" = "prescriptions"."drug" AND "demographic"."hadm_id" = "prescriptions"."hadm_id" WHERE "8" < "demographic"."days_stay" | 0.226563 |
CREATE TABLE table_name_95 (position VARCHAR2, round VARCHAR2)
| What Position has a Round of 27? | SELECT position FROM table_name_95 WHERE round = 27 | SELECT "position" FROM "table_name_95" WHERE "round" = 27 | 0.055664 |
CREATE TABLE CloseReasonTypes (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 ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment CLOB)
CREATE TABLE ReviewTaskTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
CREATE TABLE Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
CREATE TABLE PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId NUMBER)
CREATE TABLE PostsWithDeleted (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE ReviewTaskStates (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE SuggestedEditVotes (Id NUMBER, SuggestedEditId NUMBER, UserId NUMBER, VoteTypeId NUMBER, CreationDate TIME, TargetUserId NUMBER, TargetRepChange NUMBER)
CREATE TABLE 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 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 PendingFlags (Id NUMBER, FlagTypeId NUMBER, PostId NUMBER, CreationDate TIME, CloseReasonTypeId NUMBER, CloseAsOffTopicReasonTypeId NUMBER, DuplicateOfQuestionId NUMBER, BelongsOnBaseHostAddress CLOB)
CREATE TABLE ReviewTaskResultTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE CloseAsOffTopicReasonTypes (Id NUMBER, IsUniversal BOOLEAN, InputTitle CLOB, MarkdownInputGuidance CLOB, MarkdownPostOwnerGuidance CLOB, MarkdownPrivilegedUserGuidance CLOB, MarkdownConcensusDescription CLOB, CreationDate TIME, CreationModeratorId NUMBER, ApprovalDate TIME, ApprovalModeratorId NUMBER, DeactivationDate TIME, DeactivationModeratorId NUMBER)
CREATE TABLE PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
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 Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount NUMBER)
CREATE TABLE Posts (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE TagSynonyms (Id NUMBER, SourceTagName CLOB, TargetTagName CLOB, CreationDate TIME, OwnerUserId NUMBER, AutoRenameCount NUMBER, LastAutoRename TIME, Score NUMBER, ApprovedByUserId NUMBER, ApprovalDate TIME)
CREATE TABLE PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
CREATE TABLE VoteTypes (Id NUMBER, Name CLOB)
CREATE TABLE FlagTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
CREATE TABLE PostHistory (Id NUMBER, PostHistoryTypeId NUMBER, PostId NUMBER, RevisionGUID other, CreationDate TIME, UserId NUMBER, UserDisplayName CLOB, Comment CLOB, Text CLOB, ContentLicense CLOB)
CREATE TABLE PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId NUMBER)
CREATE TABLE PostHistoryTypes (Id NUMBER, Name CLOB)
| All questions with pandas and R tag. | SELECT DISTINCT P.Title, P.ViewCount, P.Score, P.AcceptedAnswerId, P.Tags, 'http://stackoverflow.com/q/' + CAST(P.Id AS TEXT) AS URL FROM Posts AS P WHERE P.Tags LIKE '%<pandas>%' AND P.Tags LIKE '%<r>%' AND P.Score > 0 AND NOT P.AcceptedAnswerId IS NULL | SELECT DISTINCT "P"."Title", "P"."ViewCount", "P"."Score", "P"."AcceptedAnswerId", "P"."Tags", CONCAT('http://stackoverflow.com/q/', CAST("P"."Id" AS CLOB)) AS "URL" FROM "Posts" "P" WHERE "P"."Score" > 0 AND "P"."Tags" LIKE '%<pandas>%' AND "P"."Tags" LIKE '%<r>%' AND NOT "P"."AcceptedAnswerId" IS NULL | 0.296875 |
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 PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId NUMBER)
CREATE TABLE ReviewTaskResultTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostHistory (Id NUMBER, PostHistoryTypeId NUMBER, PostId NUMBER, RevisionGUID other, CreationDate TIME, UserId NUMBER, UserDisplayName CLOB, Comment CLOB, Text CLOB, ContentLicense CLOB)
CREATE TABLE 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 Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
CREATE TABLE PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId NUMBER)
CREATE TABLE PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
CREATE TABLE CloseReasonTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
CREATE TABLE TagSynonyms (Id NUMBER, SourceTagName CLOB, TargetTagName CLOB, CreationDate TIME, OwnerUserId NUMBER, AutoRenameCount NUMBER, LastAutoRename TIME, Score NUMBER, ApprovedByUserId NUMBER, ApprovalDate TIME)
CREATE TABLE 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 PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
CREATE TABLE ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId NUMBER)
CREATE TABLE ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment CLOB)
CREATE TABLE Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount NUMBER)
CREATE TABLE PostHistoryTypes (Id NUMBER, Name CLOB)
CREATE TABLE SuggestedEdits (Id NUMBER, PostId NUMBER, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId NUMBER, Comment CLOB, Text CLOB, Title CLOB, Tags CLOB, RevisionGUID other)
CREATE TABLE Posts (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE ReviewTaskTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
CREATE TABLE ReviewTaskStates (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostsWithDeleted (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE PendingFlags (Id NUMBER, FlagTypeId NUMBER, PostId NUMBER, CreationDate TIME, CloseReasonTypeId NUMBER, CloseAsOffTopicReasonTypeId NUMBER, DuplicateOfQuestionId NUMBER, BelongsOnBaseHostAddress CLOB)
CREATE TABLE VoteTypes (Id NUMBER, Name CLOB)
CREATE TABLE PostTypes (Id NUMBER, Name CLOB)
| Find comments with specified text based upon length. | SELECT c.Text, c.Id AS "comment_link", CreationDate FROM Comments AS c WHERE c.Text LIKE '%##keyword##%' AND LENGTH(c.Text) <= 25 ORDER BY CreationDate DESC LIMIT 100 | SELECT "c"."Text", "c"."Id" AS "comment_link", "CreationDate" FROM "Comments" "c" WHERE "c"."Text" LIKE '%##keyword##%' AND LENGTH("c"."Text") <= 25 ORDER BY "CreationDate" DESC FETCH FIRST 100 ROWS ONLY | 0.198242 |
CREATE TABLE table_name_63 (swimsuit NUMBER, average VARCHAR2, interview VARCHAR2, evening_gown VARCHAR2)
| What is the highest swimsuit score of the contestant with a higher than 9.55 interview score, and evening gown of 9.75, and an average higher than 9.67? | SELECT MAX(swimsuit) FROM table_name_63 WHERE interview > 9.55 AND evening_gown = 9.75 AND average > 9.67 | SELECT MAX("swimsuit") FROM "table_name_63" WHERE "average" > 9.67 AND "evening_gown" = 9.75 AND "interview" > 9.55 | 0.112305 |
CREATE TABLE table_28005100_1 (composer VARCHAR2, title VARCHAR2)
| Who was the composer of ain shams? | SELECT composer FROM table_28005100_1 WHERE title = "Ain Shams" | SELECT "composer" FROM "table_28005100_1" WHERE "Ain Shams" = "title" | 0.067383 |
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
CREATE TABLE transfers (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, eventtype CLOB, careunit CLOB, wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
CREATE TABLE chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
CREATE TABLE admissions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, admittime TIME, dischtime TIME, admission_type CLOB, admission_location CLOB, discharge_location CLOB, insurance CLOB, language CLOB, marital_status CLOB, ethnicity CLOB, age NUMBER)
CREATE TABLE 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 patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
CREATE TABLE prescriptions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, startdate TIME, enddate TIME, drug CLOB, dose_val_rx CLOB, dose_unit_rx CLOB, route CLOB)
CREATE TABLE 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_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
CREATE TABLE outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
CREATE TABLE labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
| does lr have been prescribed to patient 88254 in this year? | SELECT COUNT(*) > 0 FROM prescriptions WHERE prescriptions.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 88254) AND prescriptions.drug = 'lr' AND DATETIME(prescriptions.startdate, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-0 year') | WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 88254 GROUP BY "hadm_id") SELECT COUNT(*) > 0 FROM "prescriptions" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "prescriptions"."hadm_id" WHERE "prescriptions"."drug" = 'lr' AND DATETIME("prescriptions"."startdate", 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-0 year') AND NOT "_u_0"."" IS NULL | 0.395508 |
CREATE TABLE table_203_43 (id NUMBER, "polling firm" CLOB, "month" CLOB, "link" CLOB, "favor" NUMBER, "oppose" NUMBER)
| how many in favor votes did rutgers eagleton give in march 2014 ? | SELECT "favor" FROM table_203_43 WHERE "polling firm" = 'rutgers-eagleton' AND "month" = 'march 2014' | SELECT "favor" FROM "table_203_43" WHERE "month" = 'march 2014' AND "polling firm" = 'rutgers-eagleton' | 0.100586 |
CREATE TABLE table_20172 ("Locale" CLOB, "Skip" CLOB, "W" FLOAT, "L" FLOAT, "PF" FLOAT, "PA" FLOAT, "Ends Won" FLOAT, "Ends Lost" FLOAT, "Blank Ends" FLOAT, "Stolen Ends" FLOAT, "Shot Pct." FLOAT)
| When the stolen ends equal 5 whats the amount of pa? | SELECT MAX("PA") FROM table_20172 WHERE "Stolen Ends" = '5' | SELECT MAX("PA") FROM "table_20172" WHERE "Stolen Ends" = '5' | 0.05957 |
CREATE TABLE table_name_83 (laps NUMBER, grid VARCHAR2, name VARCHAR2)
| What is the lowest Laps, when Grid is greater than 7, and when Name is 'Fabian Coulthard'? | SELECT MIN(laps) FROM table_name_83 WHERE grid > 7 AND name = "fabian coulthard" | SELECT MIN("laps") FROM "table_name_83" WHERE "fabian coulthard" = "name" AND "grid" > 7 | 0.085938 |
CREATE TABLE TRANSACTIONS (amount_of_transaction NUMBER, transaction_type_code VARCHAR2)
| Show the average amount of transactions with type code 'SALE'. | SELECT AVG(amount_of_transaction) FROM TRANSACTIONS WHERE transaction_type_code = "SALE" | SELECT AVG("amount_of_transaction") FROM "TRANSACTIONS" WHERE "SALE" = "transaction_type_code" | 0.091797 |
CREATE TABLE table_8475 ("Election" FLOAT, "Candidate" CLOB, "Number of votes" CLOB, "Share of votes" CLOB, "Outcome of election" CLOB)
| What is the number of the votes of the election before 2004 with edward mahama as the candidate with 3.0% share of votes? | SELECT "Number of votes" FROM table_8475 WHERE "Candidate" = 'edward mahama' AND "Election" < '2004' AND "Share of votes" = '3.0%' | SELECT "Number of votes" FROM "table_8475" WHERE "Candidate" = 'edward mahama' AND "Election" < '2004' AND "Share of votes" = '3.0%' | 0.128906 |
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 allergy (allergyid NUMBER, patientunitstayid NUMBER, drugname CLOB, allergyname CLOB, allergytime TIME)
CREATE TABLE vitalperiodic (vitalperiodicid NUMBER, patientunitstayid NUMBER, temperature NUMBER, sao2 NUMBER, heartrate NUMBER, respiration NUMBER, systemicsystolic NUMBER, systemicdiastolic NUMBER, systemicmean NUMBER, observationtime TIME)
CREATE TABLE cost (costid NUMBER, uniquepid CLOB, patienthealthsystemstayid NUMBER, eventtype CLOB, eventid NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime TIME)
CREATE TABLE microlab (microlabid NUMBER, patientunitstayid NUMBER, culturesite CLOB, organism CLOB, culturetakentime TIME)
CREATE TABLE medication (medicationid NUMBER, patientunitstayid NUMBER, drugname CLOB, dosage CLOB, routeadmin CLOB, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE treatment (treatmentid NUMBER, patientunitstayid NUMBER, treatmentname CLOB, treatmenttime 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)
| what is the last total co2 value for patient 030-41709 during their first hospital encounter? | SELECT lab.labresult FROM lab WHERE lab.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '030-41709' AND NOT patient.hospitaldischargetime IS NULL ORDER BY patient.hospitaladmittime LIMIT 1)) AND lab.labname = 'total co2' ORDER BY lab.labresulttime DESC LIMIT 1 | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '030-41709' AND NOT "patient"."hospitaldischargetime" IS NULL GROUP BY "patienthealthsystemstayid" ORDER BY "patient"."hospitaladmittime" FETCH FIRST 1 ROWS ONLY), "_u_1" AS (SELECT "patient"."patientunitstayid" FROM "patient" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "patient"."patienthealthsystemstayid" WHERE NOT "_u_0"."" IS NULL GROUP BY "patientunitstayid") SELECT "lab"."labresult" FROM "lab" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "lab"."patientunitstayid" WHERE "lab"."labname" = 'total co2' AND NOT "_u_1"."" IS NULL ORDER BY "lab"."labresulttime" DESC FETCH FIRST 1 ROWS ONLY | 0.673828 |
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
| provide the number of patients whose admission year is less than 2187 and diagnoses short title is other lung disease nec? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.admityear < "2187" AND diagnoses.short_title = "Other lung disease NEC" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "Other lung disease NEC" = "diagnoses"."short_title" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" WHERE "2187" > "demographic"."admityear" | 0.228516 |
CREATE TABLE table_name_85 (points NUMBER, year VARCHAR2, engine VARCHAR2, chassis VARCHAR2)
| Which engine of bmw had the lowest points and chassis of march 792 that is newer than 1979? | SELECT MIN(points) FROM table_name_85 WHERE engine = "bmw" AND chassis = "march 792" AND year > 1979 | SELECT MIN("points") FROM "table_name_85" WHERE "bmw" = "engine" AND "chassis" = "march 792" AND "year" > 1979 | 0.107422 |
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 prescriptions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, startdate TIME, enddate TIME, drug CLOB, dose_val_rx CLOB, dose_unit_rx CLOB, route CLOB)
CREATE TABLE transfers (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, eventtype CLOB, careunit CLOB, wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
CREATE TABLE 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 d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
CREATE TABLE inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
CREATE TABLE 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 d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
CREATE TABLE 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 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)
| since 05/2104 was patient 12367 prescribed tramadol (ultram)? | SELECT COUNT(*) > 0 FROM prescriptions WHERE prescriptions.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 12367) AND prescriptions.drug = 'tramadol (ultram)' AND STRFTIME('%y-%m', prescriptions.startdate) >= '2104-05' | WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 12367 GROUP BY "hadm_id") SELECT COUNT(*) > 0 FROM "prescriptions" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "prescriptions"."hadm_id" WHERE "prescriptions"."drug" = 'tramadol (ultram)' AND NOT "_u_0"."" IS NULL AND STRFTIME('%y-%m', "prescriptions"."startdate") >= '2104-05' | 0.361328 |
CREATE TABLE table_71249 ("Date" CLOB, "Location" CLOB, "Nature of incident" CLOB, "Circumstances" CLOB, "Casualties" CLOB)
| When was the incident in Pol-E Khomri? | SELECT "Date" FROM table_71249 WHERE "Location" = 'pol-e khomri' | SELECT "Date" FROM "table_71249" WHERE "Location" = 'pol-e khomri' | 0.064453 |
CREATE TABLE faculty_participates_in (facid NUMBER, actid NUMBER)
CREATE TABLE participates_in (stuid NUMBER, actid NUMBER)
CREATE TABLE activity (actid NUMBER, activity_name CLOB)
CREATE TABLE faculty (facid NUMBER, lname CLOB, fname CLOB, rank CLOB, sex CLOB, phone NUMBER, room CLOB, building CLOB)
CREATE TABLE student (stuid NUMBER, lname CLOB, fname CLOB, age NUMBER, sex CLOB, major NUMBER, advisor NUMBER, city_code CLOB)
| How many activities does Mark Giuliano participate in? | SELECT COUNT(*) FROM faculty AS T1 JOIN faculty_participates_in AS T2 ON T1.facid = T2.facid WHERE T1.fname = "Mark" AND T1.lname = "Giuliano" | SELECT COUNT(*) FROM "faculty" "T1" JOIN "faculty_participates_in" "T2" ON "T1"."facid" = "T2"."facid" WHERE "Giuliano" = "T1"."lname" AND "Mark" = "T1"."fname" | 0.15625 |
CREATE TABLE table_16799784_11 (latitude VARCHAR2, name VARCHAR2)
| At what latitude can the name origin of naijok fossae be found? | SELECT latitude FROM table_16799784_11 WHERE name = "Naijok Fossae" | SELECT "latitude" FROM "table_16799784_11" WHERE "Naijok Fossae" = "name" | 0.071289 |
CREATE TABLE table_name_66 (rank NUMBER, heat NUMBER)
| what is the rank when the heat is more than 4? | SELECT SUM(rank) FROM table_name_66 WHERE heat > 4 | SELECT SUM("rank") FROM "table_name_66" WHERE "heat" > 4 | 0.054688 |
CREATE TABLE table_72649 ("Category" CLOB, "Type" CLOB, "Attribute" CLOB, "Description" CLOB, "Bubbles" CLOB, "Cancelable" CLOB)
| what's the type with description being fires when the overflow state changes. | SELECT "Type" FROM table_72649 WHERE "Description" = 'Fires when the overflow state changes.' | SELECT "Type" FROM "table_72649" WHERE "Description" = 'Fires when the overflow state changes.' | 0.092773 |
CREATE TABLE table_204_555 (id NUMBER, "year" NUMBER, "competition" CLOB, "venue" CLOB, "position" CLOB, "event" CLOB, "notes" CLOB)
| how many times did he get 1st place in 1997 ? | SELECT COUNT(*) FROM table_204_555 WHERE "position" = 1 AND "year" = 1997 | SELECT COUNT(*) FROM "table_204_555" WHERE "position" = 1 AND "year" = 1997 | 0.073242 |
CREATE TABLE match_season (season NUMBER, player CLOB, position CLOB, country NUMBER, team NUMBER, draft_pick_number NUMBER, draft_class CLOB, college CLOB)
CREATE TABLE player (player_id NUMBER, player CLOB, years_played CLOB, total_wl CLOB, singles_wl CLOB, doubles_wl CLOB, team NUMBER)
CREATE TABLE team (team_id NUMBER, name CLOB)
CREATE TABLE country (country_id NUMBER, country_name CLOB, capital CLOB, official_native_language CLOB)
| Return the positions of players on the team Ryley Goldner. | SELECT T1.position FROM match_season AS T1 JOIN team AS T2 ON T1.team = T2.team_id WHERE T2.name = "Ryley Goldner" | SELECT "T1"."position" FROM "match_season" "T1" JOIN "team" "T2" ON "Ryley Goldner" = "T2"."name" AND "T1"."team" = "T2"."team_id" | 0.126953 |
CREATE TABLE table_48365 ("Name" CLOB, "Latitude" CLOB, "Longitude" CLOB, "Diameter ( km ) " FLOAT, "Year named" FLOAT)
| How many years correspond to longitude of 36.8e and diameter greater than 697? | SELECT COUNT("Year named") FROM table_48365 WHERE "Longitude" = '36.8e' AND "Diameter (km)" > '697' | SELECT COUNT("Year named") FROM "table_48365" WHERE "Diameter (km)" > '697' AND "Longitude" = '36.8e' | 0.098633 |
CREATE TABLE table_22875 ("Outcome" CLOB, "Year" FLOAT, "Championship" CLOB, "Surface" CLOB, "Partner" CLOB, "Opponents in the final" CLOB, "Score in the final" CLOB)
| state the number of surface where championship is australian open and score in the final is 6 3, 4 6, 11 9 | SELECT COUNT("Surface") FROM table_22875 WHERE "Championship" = 'Australian Open' AND "Score in the final" = '6–3, 4–6, 11–9' | SELECT COUNT("Surface") FROM "table_22875" WHERE "Championship" = 'Australian Open' AND "Score in the final" = '6–3, 4–6, 11–9' | 0.124023 |
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
| give me the number of patients whose marital status is widowed and diagnoses short title is vascular hamartomas? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.marital_status = "WIDOWED" AND diagnoses.short_title = "Vascular hamartomas" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "Vascular hamartomas" = "diagnoses"."short_title" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" WHERE "WIDOWED" = "demographic"."marital_status" | 0.233398 |
CREATE TABLE table_42606 ("Condition" CLOB, "Prothrombin time" CLOB, "Partial thromboplastin time" CLOB, "Bleeding time" CLOB, "Platelet count" CLOB)
| Which Partial thromboplastin time has a Prothrombin time of prolonged and a Condition of factor v deficiency? | SELECT "Partial thromboplastin time" FROM table_42606 WHERE "Prothrombin time" = 'prolonged' AND "Condition" = 'factor v deficiency' | SELECT "Partial thromboplastin time" FROM "table_42606" WHERE "Condition" = 'factor v deficiency' AND "Prothrombin time" = 'prolonged' | 0.130859 |
CREATE TABLE departments (DEPARTMENT_ID NUMBER, DEPARTMENT_NAME VARCHAR2, MANAGER_ID NUMBER, LOCATION_ID NUMBER)
CREATE TABLE employees (EMPLOYEE_ID NUMBER, FIRST_NAME VARCHAR2, LAST_NAME VARCHAR2, EMAIL VARCHAR2, PHONE_NUMBER VARCHAR2, HIRE_DATE DATE, JOB_ID VARCHAR2, SALARY NUMBER, COMMISSION_PCT NUMBER, MANAGER_ID NUMBER, DEPARTMENT_ID NUMBER)
CREATE TABLE countries (COUNTRY_ID VARCHAR2, COUNTRY_NAME VARCHAR2, REGION_ID NUMBER)
CREATE TABLE job_history (EMPLOYEE_ID NUMBER, START_DATE DATE, END_DATE DATE, JOB_ID VARCHAR2, DEPARTMENT_ID NUMBER)
CREATE TABLE regions (REGION_ID NUMBER, REGION_NAME VARCHAR2)
CREATE TABLE locations (LOCATION_ID NUMBER, STREET_ADDRESS VARCHAR2, POSTAL_CODE VARCHAR2, CITY VARCHAR2, STATE_PROVINCE VARCHAR2, COUNTRY_ID VARCHAR2)
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, show me about the distribution of job_id and the sum of employee_id , and group by attribute job_id in a bar chart, and I want to order JOB_ID in asc order. | SELECT JOB_ID, SUM(EMPLOYEE_ID) FROM employees WHERE HIRE_DATE < '2002-06-21' GROUP BY JOB_ID ORDER BY JOB_ID | SELECT "JOB_ID", SUM("EMPLOYEE_ID") FROM "employees" WHERE "HIRE_DATE" < '2002-06-21' GROUP BY "JOB_ID" ORDER BY "JOB_ID" | 0.118164 |
CREATE TABLE table_name_74 (money___ NUMBER, player VARCHAR2)
| How much money did the player Ed Oliver win? | SELECT SUM(money___) AS $__ FROM table_name_74 WHERE player = "ed oliver" | SELECT SUM("money___") AS "$__" FROM "table_name_74" WHERE "ed oliver" = "player" | 0.079102 |
CREATE TABLE table_203_549 (id NUMBER, "player" CLOB, "team" CLOB, "date" CLOB, "opponent" CLOB, "venue" CLOB)
| what was the name of the player who accomplished this in 1999 but played for the boston red sox ? | SELECT "player" FROM table_203_549 WHERE "date" = 1999 AND "team" = 'boston red sox' | SELECT "player" FROM "table_203_549" WHERE "date" = 1999 AND "team" = 'boston red sox' | 0.083984 |
CREATE TABLE Student (StuID NUMBER, LName VARCHAR2, Fname VARCHAR2, Age NUMBER, Sex VARCHAR2, Major NUMBER, Advisor NUMBER, city_code VARCHAR2)
CREATE TABLE Faculty_Participates_in (FacID NUMBER, actid NUMBER)
CREATE TABLE Participates_in (stuid NUMBER, actid NUMBER)
CREATE TABLE Activity (actid NUMBER, activity_name VARCHAR2)
CREATE TABLE Faculty (FacID NUMBER, Lname VARCHAR2, Fname VARCHAR2, Rank VARCHAR2, Sex VARCHAR2, Phone NUMBER, Room VARCHAR2, Building VARCHAR2)
| Display a bar chart for how many faculty members participate in each activity? Return the activity names and the number of faculty members, sort Y in descending order. | SELECT activity_name, COUNT(*) FROM Activity AS T1 JOIN Faculty_Participates_in AS T2 ON T1.actid = T2.actid GROUP BY T1.actid ORDER BY COUNT(*) DESC | SELECT "activity_name", COUNT(*) FROM "Activity" "T1" JOIN "Faculty_Participates_in" "T2" ON "T1"."actid" = "T2"."actid" GROUP BY "T1"."actid" ORDER BY COUNT(*) DESC | 0.161133 |
CREATE TABLE table_79939 ("Region" CLOB, "Date" CLOB, "Label" CLOB, "Format" CLOB, "Catalog" CLOB)
| Which date is in CD format? | SELECT "Date" FROM table_79939 WHERE "Format" = 'cd' | SELECT "Date" FROM "table_79939" WHERE "Format" = 'cd' | 0.052734 |
CREATE TABLE table_41606 ("Title" CLOB, "Directed by" CLOB, "Written by" CLOB, "Original air date" CLOB, "Production code" CLOB)
| What is the Title written by Terri Hughes & Ron Milbauer, and an Original air date of march 6, 2001? | SELECT "Title" FROM table_41606 WHERE "Written by" = 'terri hughes & ron milbauer' AND "Original air date" = 'march 6, 2001' | SELECT "Title" FROM "table_41606" WHERE "Original air date" = 'march 6, 2001' AND "Written by" = 'terri hughes & ron milbauer' | 0.123047 |
CREATE TABLE table_name_14 (time VARCHAR2, year VARCHAR2)
| What was the time for 2009? | SELECT time FROM table_name_14 WHERE year = 2009 | SELECT "time" FROM "table_name_14" WHERE "year" = 2009 | 0.052734 |
CREATE TABLE table_27876486_2 (clubs VARCHAR2, round VARCHAR2)
| what is the club in the sixth round proper | SELECT clubs FROM table_27876486_2 WHERE round = "Sixth round proper" | SELECT "clubs" FROM "table_27876486_2" WHERE "Sixth round proper" = "round" | 0.073242 |
CREATE TABLE table_77934 ("Race Name" CLOB, "Circuit" CLOB, "Date" CLOB, "Winning driver" CLOB, "Constructor" CLOB, "Report" CLOB)
| What is the circuit held on 15 april? | SELECT "Circuit" FROM table_77934 WHERE "Date" = '15 april' | SELECT "Circuit" FROM "table_77934" WHERE "Date" = '15 april' | 0.05957 |
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
| which primary disease is patient with patient id 2560 suffering from? | SELECT demographic.diagnosis FROM demographic WHERE demographic.subject_id = "2560" | SELECT "demographic"."diagnosis" FROM "demographic" WHERE "2560" = "demographic"."subject_id" | 0.09082 |
CREATE TABLE table_48462 ("Date" CLOB, "Venue" CLOB, "Score" CLOB, "Result" CLOB, "Competition" CLOB)
| On what Date was the 2011 LG Cup Competittion? | SELECT "Date" FROM table_48462 WHERE "Competition" = '2011 lg cup' | SELECT "Date" FROM "table_48462" WHERE "Competition" = '2011 lg cup' | 0.066406 |
CREATE TABLE table_16949 ("Date" CLOB, "Tournament" CLOB, "Location" CLOB, "Purse ( $ ) " FLOAT, "Winner" CLOB, "Score" CLOB, "1st Prize ( $ ) " CLOB)
| What is the prize money for Virginia? | SELECT "1st Prize( $ )" FROM table_16949 WHERE "Location" = 'Virginia' | SELECT "1st Prize( $ )" FROM "table_16949" WHERE "Location" = 'Virginia' | 0.070313 |
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 cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE 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 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 d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
CREATE TABLE inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
CREATE TABLE chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_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 transfers (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, eventtype CLOB, careunit CLOB, wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
CREATE TABLE diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE admissions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, admittime TIME, dischtime TIME, admission_type CLOB, admission_location CLOB, discharge_location CLOB, insurance CLOB, language CLOB, marital_status CLOB, ethnicity CLOB, age NUMBER)
CREATE TABLE labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
| what was the first dose of soln on their last hospital encounter, prescribed to patient 94316? | SELECT prescriptions.dose_val_rx FROM prescriptions WHERE prescriptions.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 94316 AND NOT admissions.dischtime IS NULL ORDER BY admissions.admittime DESC LIMIT 1) AND prescriptions.drug = 'soln' ORDER BY prescriptions.startdate LIMIT 1 | WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 94316 AND NOT "admissions"."dischtime" IS NULL GROUP BY "hadm_id" ORDER BY "admissions"."admittime" DESC FETCH FIRST 1 ROWS ONLY) SELECT "prescriptions"."dose_val_rx" FROM "prescriptions" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "prescriptions"."hadm_id" WHERE "prescriptions"."drug" = 'soln' AND NOT "_u_0"."" IS NULL ORDER BY "prescriptions"."startdate" FETCH FIRST 1 ROWS ONLY | 0.463867 |
CREATE TABLE table_11545282_12 (nationality VARCHAR2, school_club_team VARCHAR2)
| Which country is the player that went to Oregon? | SELECT nationality FROM table_11545282_12 WHERE school_club_team = "Oregon" | SELECT "nationality" FROM "table_11545282_12" WHERE "Oregon" = "school_club_team" | 0.079102 |
CREATE TABLE table_20098 ("Club" CLOB, "Played" CLOB, "Won" CLOB, "Drawn" CLOB, "Lost" CLOB, "Points for" CLOB, "Points against" CLOB, "Points difference" CLOB, "Tries For" CLOB, "Tries Against" CLOB, "Try Bonus" CLOB, "Losing Bonus" CLOB, "Points" CLOB)
| What is the losing bonus for the team with a point difference of -99? | SELECT "Losing Bonus" FROM table_20098 WHERE "Points difference" = '-99' | SELECT "Losing Bonus" FROM "table_20098" WHERE "Points difference" = '-99' | 0.072266 |
CREATE TABLE table_name_8 (home_team VARCHAR2, away_team VARCHAR2)
| Who was the home team when walsall was the away team? | SELECT home_team FROM table_name_8 WHERE away_team = "walsall" | SELECT "home_team" FROM "table_name_8" WHERE "away_team" = "walsall" | 0.066406 |
CREATE TABLE EMPLOYEE (EMP_NUM NUMBER, EMP_LNAME VARCHAR2, EMP_FNAME VARCHAR2, EMP_INITIAL VARCHAR2, EMP_JOBCODE VARCHAR2, EMP_HIREDATE DATETIME, EMP_DOB DATETIME)
CREATE TABLE STUDENT (STU_NUM NUMBER, STU_LNAME VARCHAR2, STU_FNAME VARCHAR2, STU_INIT VARCHAR2, STU_DOB DATETIME, STU_HRS NUMBER, STU_CLASS VARCHAR2, STU_GPA FLOAT, STU_TRANSFER NUMBER, DEPT_CODE VARCHAR2, STU_PHONE VARCHAR2, PROF_NUM NUMBER)
CREATE TABLE CLASS (CLASS_CODE VARCHAR2, CRS_CODE VARCHAR2, CLASS_SECTION VARCHAR2, CLASS_TIME VARCHAR2, CLASS_ROOM VARCHAR2, PROF_NUM NUMBER)
CREATE TABLE ENROLL (CLASS_CODE VARCHAR2, STU_NUM NUMBER, ENROLL_GRADE VARCHAR2)
CREATE TABLE DEPARTMENT (DEPT_CODE VARCHAR2, DEPT_NAME VARCHAR2, SCHOOL_CODE VARCHAR2, EMP_NUM NUMBER, DEPT_ADDRESS VARCHAR2, DEPT_EXTENSION VARCHAR2)
CREATE TABLE COURSE (CRS_CODE VARCHAR2, DEPT_CODE VARCHAR2, CRS_DESCRIPTION VARCHAR2, CRS_CREDIT FLOAT)
CREATE TABLE PROFESSOR (EMP_NUM NUMBER, DEPT_CODE VARCHAR2, PROF_OFFICE VARCHAR2, PROF_EXTENSION VARCHAR2, PROF_HIGH_DEGREE VARCHAR2)
| Show the number of courses for each course description in a bar chart, I want to sort x axis from low to high order please. | SELECT CRS_DESCRIPTION, COUNT(CRS_DESCRIPTION) FROM CLASS AS T1 JOIN EMPLOYEE AS T2 ON T1.PROF_NUM = T2.EMP_NUM JOIN COURSE AS T3 ON T1.CRS_CODE = T3.CRS_CODE GROUP BY CRS_DESCRIPTION ORDER BY CRS_DESCRIPTION | SELECT "CRS_DESCRIPTION", COUNT("CRS_DESCRIPTION") FROM "CLASS" "T1" JOIN "EMPLOYEE" "T2" ON "T1"."PROF_NUM" = "T2"."EMP_NUM" JOIN "COURSE" "T3" ON "T1"."CRS_CODE" = "T3"."CRS_CODE" GROUP BY "CRS_DESCRIPTION" ORDER BY "CRS_DESCRIPTION" | 0.229492 |
CREATE TABLE table_name_95 (gold NUMBER, rank VARCHAR2, total VARCHAR2, silver VARCHAR2)
| What is the average Gold, when Total is 2, when Silver is less than 1, and when Rank is greater than 5? | SELECT AVG(gold) FROM table_name_95 WHERE total = 2 AND silver < 1 AND rank > 5 | SELECT AVG("gold") FROM "table_name_95" WHERE "rank" > 5 AND "silver" < 1 AND "total" = 2 | 0.086914 |
CREATE TABLE program_requirement (program_id NUMBER, category VARCHAR2, min_credit NUMBER, additional_req VARCHAR2)
CREATE TABLE gsi (course_offering_id NUMBER, student_id NUMBER)
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 area (course_id NUMBER, area VARCHAR2)
CREATE TABLE program (program_id NUMBER, name VARCHAR2, college VARCHAR2, introduction VARCHAR2)
CREATE TABLE student_record (student_id NUMBER, course_id NUMBER, semester NUMBER, grade VARCHAR2, how VARCHAR2, transfer_source VARCHAR2, earn_credit VARCHAR2, repeat_term VARCHAR2, test_id VARCHAR2)
CREATE TABLE ta (campus_job_id NUMBER, student_id NUMBER, location VARCHAR2)
CREATE TABLE offering_instructor (offering_instructor_id NUMBER, offering_id NUMBER, instructor_id NUMBER)
CREATE TABLE instructor (instructor_id NUMBER, name VARCHAR2, uniqname VARCHAR2)
CREATE TABLE semester (semester_id NUMBER, semester VARCHAR2, year NUMBER)
CREATE TABLE course_offering (offering_id NUMBER, course_id NUMBER, semester NUMBER, section_number NUMBER, start_time TIME, end_time TIME, monday VARCHAR2, tuesday VARCHAR2, wednesday VARCHAR2, thursday VARCHAR2, friday VARCHAR2, saturday VARCHAR2, sunday VARCHAR2, has_final_project VARCHAR2, has_final_exam VARCHAR2, textbook VARCHAR2, class_address VARCHAR2, allow_audit VARCHAR2)
CREATE TABLE course_prerequisite (pre_course_id NUMBER, course_id NUMBER)
CREATE TABLE jobs (job_id NUMBER, job_title VARCHAR2, description VARCHAR2, requirement VARCHAR2, city VARCHAR2, state VARCHAR2, country VARCHAR2, zip NUMBER)
CREATE TABLE comment_instructor (instructor_id NUMBER, student_id NUMBER, score NUMBER, comment_text VARCHAR2)
CREATE TABLE course (course_id NUMBER, name VARCHAR2, department VARCHAR2, number VARCHAR2, credits VARCHAR2, advisory_requirement VARCHAR2, enforced_requirement VARCHAR2, description VARCHAR2, num_semesters NUMBER, num_enrolled NUMBER, has_discussion VARCHAR2, has_lab VARCHAR2, has_projects VARCHAR2, has_exams VARCHAR2, num_reviews NUMBER, clarity_score NUMBER, easiness_score NUMBER, helpfulness_score NUMBER)
CREATE TABLE requirement (requirement_id NUMBER, requirement VARCHAR2, college VARCHAR2)
CREATE TABLE student (student_id NUMBER, lastname VARCHAR2, firstname VARCHAR2, program_id NUMBER, declare_major VARCHAR2, total_credit NUMBER, total_gpa FLOAT, entered_as VARCHAR2, admit_term NUMBER, predicted_graduation_semester NUMBER, degree VARCHAR2, minor VARCHAR2, internship VARCHAR2)
CREATE TABLE program_course (program_id NUMBER, course_id NUMBER, workload NUMBER, category VARCHAR2)
| How many classes in the Fall and Winter term are 500 -level classes ? | SELECT COUNT(DISTINCT course.course_id, semester.semester) FROM course, course_offering, semester WHERE course.course_id = course_offering.course_id AND course.department = 'department0' AND course.number BETWEEN 500 AND 500 + 100 AND semester.semester IN ('FA', 'WN') AND semester.semester_id = course_offering.semester AND semester.year = 2016 | SELECT COUNT(DISTINCT "course"."course_id", "semester"."semester") FROM "course" JOIN "course_offering" ON "course"."course_id" = "course_offering"."course_id" JOIN "semester" ON "course_offering"."semester" = "semester"."semester_id" AND "semester"."semester" IN ('FA', 'WN') AND "semester"."year" = 2016 WHERE "course"."department" = 'department0' AND "course"."number" <= 600 AND "course"."number" >= 500 | 0.397461 |
CREATE TABLE table_name_2 (sspec_number VARCHAR2, part_number_s_ VARCHAR2)
| what is the sspec number when the part number is cw8064701470802? | SELECT sspec_number FROM table_name_2 WHERE part_number_s_ = "cw8064701470802" | SELECT "sspec_number" FROM "table_name_2" WHERE "cw8064701470802" = "part_number_s_" | 0.082031 |
CREATE TABLE domain (did NUMBER, name VARCHAR2)
CREATE TABLE journal (homepage VARCHAR2, jid NUMBER, name VARCHAR2)
CREATE TABLE domain_publication (did NUMBER, pid NUMBER)
CREATE TABLE cite (cited NUMBER, citing NUMBER)
CREATE TABLE domain_keyword (did NUMBER, kid NUMBER)
CREATE TABLE domain_conference (cid NUMBER, did NUMBER)
CREATE TABLE keyword (keyword VARCHAR2, kid NUMBER)
CREATE TABLE publication (abstract VARCHAR2, cid NUMBER, citation_num NUMBER, jid NUMBER, pid NUMBER, reference_num NUMBER, title VARCHAR2, year NUMBER)
CREATE TABLE publication_keyword (kid NUMBER, pid NUMBER)
CREATE TABLE domain_journal (did NUMBER, jid NUMBER)
CREATE TABLE author (aid NUMBER, homepage VARCHAR2, name VARCHAR2, oid NUMBER)
CREATE TABLE organization (continent VARCHAR2, homepage VARCHAR2, name VARCHAR2, oid NUMBER)
CREATE TABLE domain_author (aid NUMBER, did NUMBER)
CREATE TABLE writes (aid NUMBER, pid NUMBER)
CREATE TABLE conference (cid NUMBER, homepage VARCHAR2, name VARCHAR2)
| return me the conferences, which have more than 10 papers by ' H. V. Jagadish ' . | SELECT conference.name FROM author, conference, publication, writes WHERE author.name = 'H. V. Jagadish' AND publication.cid = conference.cid AND writes.aid = author.aid AND writes.pid = publication.pid GROUP BY conference.name HAVING COUNT(DISTINCT (publication.title)) > 10 | SELECT "conference"."name" FROM "author" CROSS JOIN "conference" JOIN "publication" ON "conference"."cid" = "publication"."cid" JOIN "writes" ON "author"."aid" = "writes"."aid" AND "publication"."pid" = "writes"."pid" WHERE "author"."name" = 'H. V. Jagadish' GROUP BY "conference"."name" HAVING COUNT(DISTINCT "publication"."title") > 10 | 0.329102 |
CREATE TABLE Users (Id NUMBER, Reputation NUMBER, CreationDate TIME, DisplayName CLOB, LastAccessDate TIME, WebsiteUrl CLOB, Location CLOB, AboutMe CLOB, Views NUMBER, UpVotes NUMBER, DownVotes NUMBER, ProfileImageUrl CLOB, EmailHash CLOB, AccountId NUMBER)
CREATE TABLE Comments (Id NUMBER, PostId NUMBER, Score NUMBER, Text CLOB, CreationDate TIME, UserDisplayName CLOB, UserId NUMBER, ContentLicense CLOB)
CREATE TABLE PostHistoryTypes (Id NUMBER, Name CLOB)
CREATE TABLE ReviewTaskStates (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
CREATE TABLE Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount NUMBER)
CREATE TABLE ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment 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 VoteTypes (Id NUMBER, Name CLOB)
CREATE TABLE PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId NUMBER)
CREATE TABLE PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
CREATE TABLE Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
CREATE TABLE CloseReasonTypes (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 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 FlagTypes (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 PostTypes (Id NUMBER, Name CLOB)
CREATE TABLE PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
CREATE TABLE PostsWithDeleted (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE PostHistory (Id NUMBER, PostHistoryTypeId NUMBER, PostId NUMBER, RevisionGUID other, CreationDate TIME, UserId NUMBER, UserDisplayName CLOB, Comment CLOB, Text CLOB, ContentLicense CLOB)
CREATE TABLE 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 PostTags (PostId NUMBER, TagId NUMBER)
CREATE TABLE ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
CREATE TABLE ReviewTaskResultTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE CloseAsOffTopicReasonTypes (Id NUMBER, IsUniversal BOOLEAN, InputTitle CLOB, MarkdownInputGuidance CLOB, MarkdownPostOwnerGuidance CLOB, MarkdownPrivilegedUserGuidance CLOB, MarkdownConcensusDescription CLOB, CreationDate TIME, CreationModeratorId NUMBER, ApprovalDate TIME, ApprovalModeratorId NUMBER, DeactivationDate TIME, DeactivationModeratorId NUMBER)
CREATE TABLE 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)
| Top 100 users by min(questions, answers). | WITH q_and_as AS (SELECT *, CASE WHEN PostTypeId = 1 THEN 1 ELSE NULL END AS isq, CASE WHEN PostTypeId = 2 THEN 1 ELSE NULL END AS isa FROM Posts WHERE PostTypeId = 1 OR PostTypeId = 2), user_posts AS (SELECT OwnerUserId, OwnerUserId AS "user_link", SUM(isq) AS questions, SUM(isa) AS answers FROM q_and_as GROUP BY OwnerUserId) SELECT 'user_link', questions, answers, (questions + answers - ABS(answers - questions)) / 2 AS minimum FROM user_posts ORDER BY minimum DESC LIMIT 100 | WITH "user_posts" AS (SELECT MAX(1) AS "_" FROM "Posts" WHERE "PostTypeId" = 1 OR "PostTypeId" = 2 GROUP BY "OwnerUserId") SELECT 'user_link', "questions", "answers", ("questions" + "answers" - ABS("answers" - "questions")) / NULLIF(2, 0) AS "minimum" FROM "user_posts" ORDER BY "minimum" DESC FETCH FIRST 100 ROWS ONLY | 0.311523 |
CREATE TABLE table_2850912_4 (position VARCHAR2, nhl_team VARCHAR2)
| How many positions are associated with the St. Louis Blues? | SELECT COUNT(position) FROM table_2850912_4 WHERE nhl_team = "St. Louis Blues" | SELECT COUNT("position") FROM "table_2850912_4" WHERE "St. Louis Blues" = "nhl_team" | 0.082031 |
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 lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime 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 microlab (microlabid NUMBER, patientunitstayid NUMBER, culturesite CLOB, organism CLOB, culturetakentime TIME)
CREATE TABLE medication (medicationid NUMBER, patientunitstayid NUMBER, drugname CLOB, dosage CLOB, routeadmin CLOB, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE treatment (treatmentid NUMBER, patientunitstayid NUMBER, treatmentname CLOB, treatmenttime TIME)
CREATE TABLE patient (uniquepid CLOB, patienthealthsystemstayid NUMBER, patientunitstayid NUMBER, gender CLOB, age CLOB, ethnicity CLOB, hospitalid NUMBER, wardid NUMBER, admissionheight NUMBER, admissionweight NUMBER, dischargeweight NUMBER, hospitaladmittime TIME, hospitaladmitsource CLOB, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus CLOB)
CREATE TABLE vitalperiodic (vitalperiodicid NUMBER, patientunitstayid NUMBER, temperature NUMBER, sao2 NUMBER, heartrate NUMBER, respiration NUMBER, systemicsystolic NUMBER, systemicdiastolic NUMBER, systemicmean NUMBER, observationtime TIME)
| how much does it cost to get a lab alt (sgpt) test? | SELECT DISTINCT cost.cost FROM cost WHERE cost.eventtype = 'lab' AND cost.eventid IN (SELECT lab.labid FROM lab WHERE lab.labname = 'alt (sgpt)') | WITH "_u_0" AS (SELECT "lab"."labid" FROM "lab" WHERE "lab"."labname" = 'alt (sgpt)' GROUP BY "labid") SELECT DISTINCT "cost"."cost" FROM "cost" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "cost"."eventid" WHERE "cost"."eventtype" = 'lab' AND NOT "_u_0"."" IS NULL | 0.25293 |
CREATE TABLE locations (LOCATION_ID NUMBER, STREET_ADDRESS VARCHAR2, POSTAL_CODE VARCHAR2, CITY VARCHAR2, STATE_PROVINCE VARCHAR2, COUNTRY_ID VARCHAR2)
CREATE TABLE departments (DEPARTMENT_ID NUMBER, DEPARTMENT_NAME VARCHAR2, MANAGER_ID NUMBER, LOCATION_ID NUMBER)
CREATE TABLE job_history (EMPLOYEE_ID NUMBER, START_DATE DATE, END_DATE DATE, JOB_ID VARCHAR2, DEPARTMENT_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 regions (REGION_ID NUMBER, REGION_NAME 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 was hired before 2002-06-21, return a bar chart about the distribution of job_id and the sum of salary , and group by attribute job_id, and list from high to low by the Y. | SELECT JOB_ID, SUM(SALARY) FROM employees WHERE HIRE_DATE < '2002-06-21' GROUP BY JOB_ID ORDER BY SUM(SALARY) DESC | SELECT "JOB_ID", SUM("SALARY") FROM "employees" WHERE "HIRE_DATE" < '2002-06-21' GROUP BY "JOB_ID" ORDER BY SUM("SALARY") DESC | 0.123047 |
CREATE TABLE jobs (JOB_ID VARCHAR2, JOB_TITLE VARCHAR2, MIN_SALARY NUMBER, MAX_SALARY 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 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 regions (REGION_ID NUMBER, REGION_NAME VARCHAR2)
| For all employees who have the letters D or S in their first name, a bar chart shows the distribution of hire_date and the average of department_id bin hire_date by weekday, display by the the average of department id in asc. | SELECT HIRE_DATE, AVG(DEPARTMENT_ID) FROM employees WHERE FIRST_NAME LIKE '%D%' OR FIRST_NAME LIKE '%S%' ORDER BY AVG(DEPARTMENT_ID) | SELECT "HIRE_DATE", AVG("DEPARTMENT_ID") FROM "employees" WHERE "FIRST_NAME" LIKE '%D%' OR "FIRST_NAME" LIKE '%S%' ORDER BY AVG("DEPARTMENT_ID") | 0.140625 |
CREATE TABLE table_60931 ("Outcome" CLOB, "Date" FLOAT, "Tournament" CLOB, "Surface" CLOB, "Partner" CLOB, "Opponents in the final" CLOB, "Score in the final" CLOB)
| Which tournament had a clay surface and a score of 6 1, 3 6, 6 2? | SELECT "Tournament" FROM table_60931 WHERE "Surface" = 'clay' AND "Score in the final" = '6–1, 3–6, 6–2' | SELECT "Tournament" FROM "table_60931" WHERE "Score in the final" = '6–1, 3–6, 6–2' AND "Surface" = 'clay' | 0.103516 |
CREATE TABLE table_30039 ("Semitological abbreviation" CLOB, "Hebrew name" CLOB, "Arabic name" CLOB, "Morphological category" CLOB, "Hebrew Form" CLOB, "Arabic form" CLOB, "Approximate translation" CLOB)
| How many Arabic forms are there for the 1st. plur. perfect category? | SELECT COUNT("Arabic form") FROM table_30039 WHERE "Morphological category" = '1st. plur. perfect' | SELECT COUNT("Arabic form") FROM "table_30039" WHERE "Morphological category" = '1st. plur. perfect' | 0.097656 |
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