schema
stringlengths 29
5.42k
| question
stringlengths 0
752
| rejected
stringlengths 2
4.44k
| chosen
stringlengths 4
8.94k
| weight
float64 0
8.73
|
|---|---|---|---|---|
CREATE TABLE film (Gross_in_dollar NUMBER)
| What is the average ticket sales gross in dollars of films? | SELECT AVG(Gross_in_dollar) FROM film | SELECT AVG("Gross_in_dollar") FROM "film" | 0.040039 |
CREATE TABLE table_26608 ("No. in series" FLOAT, "No. in season" FLOAT, "Title" CLOB, "Directed by" CLOB, "Written by" CLOB, "Original air date" CLOB, "U.S. viewers ( millions ) " CLOB)
| Who directed 'go your own way'? | SELECT "Directed by" FROM table_26608 WHERE "Title" = 'Go Your Own Way' | SELECT "Directed by" FROM "table_26608" WHERE "Title" = 'Go Your Own Way' | 0.071289 |
CREATE TABLE table_18527 ("District" CLOB, "Incumbent" CLOB, "Party" CLOB, "First elected" CLOB, "Result" CLOB, "Candidates" CLOB)
| Which party had Clair Engle as an incumbent? | SELECT "Party" FROM table_18527 WHERE "Incumbent" = 'Clair Engle' | SELECT "Party" FROM "table_18527" WHERE "Incumbent" = 'Clair Engle' | 0.06543 |
CREATE TABLE table_70067 ("Rank" CLOB, "Gold" FLOAT, "Silver" FLOAT, "Bronze" FLOAT, "Total" FLOAT)
| Which average bronze had a silver greater than 2 and a gold larger than 7? | SELECT AVG("Bronze") FROM table_70067 WHERE "Silver" > '2' AND "Gold" > '7' | SELECT AVG("Bronze") FROM "table_70067" WHERE "Gold" > '7' AND "Silver" > '2' | 0.075195 |
CREATE TABLE Lives_in (stuid NUMBER, dormid NUMBER, room_number NUMBER)
CREATE TABLE Student (StuID NUMBER, LName VARCHAR2, Fname VARCHAR2, Age NUMBER, Sex VARCHAR2, Major NUMBER, Advisor NUMBER, city_code VARCHAR2)
CREATE TABLE Dorm_amenity (amenid NUMBER, amenity_name VARCHAR2)
CREATE TABLE Has_amenity (dormid NUMBER, amenid NUMBER)
CREATE TABLE Dorm (dormid NUMBER, dorm_name VARCHAR2, student_capacity NUMBER, gender VARCHAR2)
| Find the average age of male students (with sex M) from each city, show X-axis in ascending order. | SELECT city_code, AVG(Age) FROM Student WHERE Sex = 'M' GROUP BY city_code ORDER BY city_code | SELECT "city_code", AVG("Age") FROM "Student" WHERE "Sex" = 'M' GROUP BY "city_code" ORDER BY "city_code" | 0.102539 |
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 d_icd_diagnoses (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 d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label 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 inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
CREATE TABLE outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
CREATE TABLE d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
CREATE TABLE admissions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, admittime TIME, dischtime TIME, admission_type CLOB, admission_location CLOB, discharge_location CLOB, insurance CLOB, language CLOB, marital_status CLOB, ethnicity CLOB, age NUMBER)
CREATE TABLE diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE icustays (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, first_careunit CLOB, last_careunit CLOB, first_wardid NUMBER, last_wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
| what was the diagnosis of patient 26799 for the first time during a year before? | SELECT d_icd_diagnoses.short_title FROM d_icd_diagnoses WHERE d_icd_diagnoses.icd9_code IN (SELECT diagnoses_icd.icd9_code FROM diagnoses_icd WHERE diagnoses_icd.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 26799) AND DATETIME(diagnoses_icd.charttime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year') ORDER BY diagnoses_icd.charttime LIMIT 1) | WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 26799 GROUP BY "hadm_id"), "_u_1" AS (SELECT "diagnoses_icd"."icd9_code" FROM "diagnoses_icd" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "diagnoses_icd"."hadm_id" WHERE DATETIME("diagnoses_icd"."charttime", 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year') AND NOT "_u_0"."" IS NULL GROUP BY "icd9_code" ORDER BY "diagnoses_icd"."charttime" FETCH FIRST 1 ROWS ONLY) SELECT "d_icd_diagnoses"."short_title" FROM "d_icd_diagnoses" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "d_icd_diagnoses"."icd9_code" WHERE NOT "_u_1"."" IS NULL | 0.625 |
CREATE TABLE table_31209 ("Game" FLOAT, "Date" CLOB, "Team" CLOB, "Score" CLOB, "High points" CLOB, "High rebounds" CLOB, "High assists" CLOB, "Location Attendance" CLOB, "Record" CLOB)
| When allen/moore/wyatt 4 have the highest amount of assists what is the highest game? | SELECT MAX("Game") FROM table_31209 WHERE "High assists" = 'Allen/Moore/Wyatt – 4' | SELECT MAX("Game") FROM "table_31209" WHERE "High assists" = 'Allen/Moore/Wyatt – 4' | 0.082031 |
CREATE TABLE table_71244 ("Year" FLOAT, "Entrant" CLOB, "Chassis" CLOB, "Engine" CLOB, "Points" FLOAT)
| Name the entrant for year less than 1990 and chassis of eurobrun er189 | SELECT "Entrant" FROM table_71244 WHERE "Year" < '1990' AND "Chassis" = 'eurobrun er189' | SELECT "Entrant" FROM "table_71244" WHERE "Chassis" = 'eurobrun er189' AND "Year" < '1990' | 0.087891 |
CREATE TABLE table_31137 ("Year" FLOAT, "Network" CLOB, "Play-by-play announcer" CLOB, "Color commentator" CLOB, "s Field reporter" CLOB, "Pregame hosts" CLOB, "Pregame analysts" CLOB, "Trophy presentation" CLOB)
| What is every pregame analyst with Chris Rose as trophy presenter? | SELECT "Pregame analysts" FROM table_31137 WHERE "Trophy presentation" = 'Chris Rose' | SELECT "Pregame analysts" FROM "table_31137" WHERE "Trophy presentation" = 'Chris Rose' | 0.084961 |
CREATE TABLE table_78868 ("Show" CLOB, "Network ( Last Aired ) " CLOB, "Last aired" FLOAT, "Network ( New/Returning ) " CLOB, "Returning" CLOB)
| When did soul train music awards return? | SELECT "Returning" FROM table_78868 WHERE "Show" = 'soul train music awards' | SELECT "Returning" FROM "table_78868" WHERE "Show" = 'soul train music awards' | 0.076172 |
CREATE TABLE table_15416 ("Year" FLOAT, "Population ( Region total ) " FLOAT, "Population ( Mareeba ) " FLOAT, "Population ( Atherton ) " FLOAT, "Population ( Herberton ) " FLOAT, "Population ( Eacham ) " FLOAT)
| What was the sum total of the region after 1976 when Mareeba had population was more than 18,212? | SELECT SUM("Population (Region total)") FROM table_15416 WHERE "Year" > '1976' AND "Population (Mareeba)" > '18,212' | SELECT SUM("Population (Region total)") FROM "table_15416" WHERE "Population (Mareeba)" > '18,212' AND "Year" > '1976' | 0.115234 |
CREATE TABLE time_slot (time_slot_id CLOB, day CLOB, start_hr NUMBER, start_min NUMBER, end_hr NUMBER, end_min NUMBER)
CREATE TABLE student (id CLOB, name CLOB, dept_name CLOB, tot_cred NUMBER)
CREATE TABLE instructor (id CLOB, name CLOB, dept_name CLOB, salary NUMBER)
CREATE TABLE prereq (course_id CLOB, prereq_id CLOB)
CREATE TABLE advisor (s_id CLOB, i_id CLOB)
CREATE TABLE department (dept_name CLOB, building CLOB, budget NUMBER)
CREATE TABLE takes (id CLOB, course_id CLOB, sec_id CLOB, semester CLOB, year NUMBER, grade CLOB)
CREATE TABLE teaches (id CLOB, course_id CLOB, sec_id CLOB, semester CLOB, year NUMBER)
CREATE TABLE course (course_id CLOB, title CLOB, dept_name CLOB, credits NUMBER)
CREATE TABLE classroom (building CLOB, room_number CLOB, capacity NUMBER)
CREATE TABLE section (course_id CLOB, sec_id CLOB, semester CLOB, year NUMBER, building CLOB, room_number CLOB, time_slot_id CLOB)
| What are the names of the instructors in the Comp. Sci. department who earn more than 80000? | SELECT name FROM instructor WHERE dept_name = 'Comp. Sci.' AND salary > 80000 | SELECT "name" FROM "instructor" WHERE "dept_name" = 'Comp. Sci.' AND "salary" > 80000 | 0.083008 |
CREATE TABLE table_name_71 (place VARCHAR2, player VARCHAR2, score VARCHAR2)
| What place does Fred Funk, who has a score of 69-69=138, have? | SELECT place FROM table_name_71 WHERE score = 69 - 69 = 138 AND player = "fred funk" | SELECT "place" FROM "table_name_71" WHERE "fred funk" = "player" AND "score" = FALSE | 0.082031 |
CREATE TABLE table_name_51 (record VARCHAR2, february VARCHAR2, opponent VARCHAR2)
| Which Record has a February smaller than 8, and an Opponent of montreal canadiens? | SELECT record FROM table_name_51 WHERE february < 8 AND opponent = "montreal canadiens" | SELECT "record" FROM "table_name_51" WHERE "february" < 8 AND "montreal canadiens" = "opponent" | 0.092773 |
CREATE TABLE table_204_476 (id NUMBER, "name" CLOB, "date built" NUMBER, "builder" CLOB, "works no." NUMBER, "wheels" CLOB, "cylinders" CLOB, "notes" CLOB, "withdrawn" NUMBER)
| what is the total number of names on the chart ? | SELECT COUNT("name") FROM table_204_476 | SELECT COUNT("name") FROM "table_204_476" | 0.040039 |
CREATE TABLE table_29012710_1 (number_of_dairy_cows NUMBER, province VARCHAR2)
| what is the most amount of cattle where they live in british columbia | SELECT MAX(number_of_dairy_cows) FROM table_29012710_1 WHERE province = "British Columbia" | SELECT MAX("number_of_dairy_cows") FROM "table_29012710_1" WHERE "British Columbia" = "province" | 0.09375 |
CREATE TABLE table_name_2 (date_of_polling VARCHAR2, liberal VARCHAR2, polling_firm VARCHAR2, green VARCHAR2)
| On what date of polling was the Polling Firm forum research with 7 green and less than 30 liberals? | SELECT date_of_polling FROM table_name_2 WHERE polling_firm = "forum research" AND green = 7 AND liberal < 30 | SELECT "date_of_polling" FROM "table_name_2" WHERE "forum research" = "polling_firm" AND "green" = 7 AND "liberal" < 30 | 0.116211 |
CREATE TABLE table_name_11 (total NUMBER, rank VARCHAR2, gold VARCHAR2, silver VARCHAR2)
| What is the sum of Total for 0 gold and less than 2, silver with a rank of 6? | SELECT SUM(total) FROM table_name_11 WHERE gold = 0 AND silver < 2 AND rank = "6" | SELECT SUM("total") FROM "table_name_11" WHERE "6" = "rank" AND "gold" = 0 AND "silver" < 2 | 0.088867 |
CREATE TABLE table_61525 ("Quarterback" CLOB, "Games" FLOAT, "Teams" CLOB, "Wins" FLOAT, "Losses" FLOAT, "Percent" FLOAT)
| what is the average wins when percent is more than 0.4 and teams is chargers~? | SELECT AVG("Wins") FROM table_61525 WHERE "Percent" > '0.4' AND "Teams" = 'chargers~' | SELECT AVG("Wins") FROM "table_61525" WHERE "Percent" > '0.4' AND "Teams" = 'chargers~' | 0.084961 |
CREATE TABLE table_name_67 (country VARCHAR2, rank VARCHAR2, notes VARCHAR2)
| What country were the athletes where ranked smaller than 5 with notes listed as fb? | SELECT country FROM table_name_67 WHERE rank < 5 AND notes = "fb" | SELECT "country" FROM "table_name_67" WHERE "fb" = "notes" AND "rank" < 5 | 0.071289 |
CREATE TABLE Hotels (hotel_id NUMBER, star_rating_code CHAR, pets_allowed_yn CHAR, price_range FLOAT, other_hotel_details VARCHAR2)
CREATE TABLE Locations (Location_ID NUMBER, Location_Name VARCHAR2, Address VARCHAR2, Other_Details VARCHAR2)
CREATE TABLE Features (Feature_ID NUMBER, Feature_Details VARCHAR2)
CREATE TABLE Visitors (Tourist_ID NUMBER, Tourist_Details VARCHAR2)
CREATE TABLE Photos (Photo_ID NUMBER, Tourist_Attraction_ID NUMBER, Name VARCHAR2, Description VARCHAR2, Filename VARCHAR2, Other_Details VARCHAR2)
CREATE TABLE Street_Markets (Market_ID NUMBER, Market_Details VARCHAR2)
CREATE TABLE Theme_Parks (Theme_Park_ID NUMBER, Theme_Park_Details VARCHAR2)
CREATE TABLE Visits (Visit_ID NUMBER, Tourist_Attraction_ID NUMBER, Tourist_ID NUMBER, Visit_Date DATETIME, Visit_Details VARCHAR2)
CREATE TABLE Royal_Family (Royal_Family_ID NUMBER, Royal_Family_Details VARCHAR2)
CREATE TABLE Tourist_Attraction_Features (Tourist_Attraction_ID NUMBER, Feature_ID NUMBER)
CREATE TABLE Tourist_Attractions (Tourist_Attraction_ID NUMBER, Attraction_Type_Code CHAR, Location_ID NUMBER, How_to_Get_There VARCHAR2, Name VARCHAR2, Description VARCHAR2, Opening_Hours VARCHAR2, Other_Details VARCHAR2)
CREATE TABLE Museums (Museum_ID NUMBER, Museum_Details VARCHAR2)
CREATE TABLE Ref_Attraction_Types (Attraction_Type_Code CHAR, Attraction_Type_Description VARCHAR2)
CREATE TABLE Shops (Shop_ID NUMBER, Shop_Details VARCHAR2)
CREATE TABLE Staff (Staff_ID NUMBER, Tourist_Attraction_ID NUMBER, Name VARCHAR2, Other_Details VARCHAR2)
CREATE TABLE Ref_Hotel_Star_Ratings (star_rating_code CHAR, star_rating_description VARCHAR2)
| Show the average price of hotels for each star rating code in a scatter chart | SELECT star_rating_code, AVG(price_range) FROM Hotels GROUP BY star_rating_code | SELECT "star_rating_code", AVG("price_range") FROM "Hotels" GROUP BY "star_rating_code" | 0.084961 |
CREATE TABLE table_11157122_5 (longest_run VARCHAR2, player VARCHAR2)
| What was Eric Dickerson's longest run? | SELECT COUNT(longest_run) FROM table_11157122_5 WHERE player = "Eric Dickerson" | SELECT COUNT("longest_run") FROM "table_11157122_5" WHERE "Eric Dickerson" = "player" | 0.083008 |
CREATE TABLE time_zone (time_zone_code CLOB, time_zone_name CLOB, hours_from_gmt NUMBER)
CREATE TABLE food_service (meal_code CLOB, meal_number NUMBER, compartment CLOB, meal_description VARCHAR2)
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 class_of_service (booking_class VARCHAR2, rank NUMBER, class_description CLOB)
CREATE TABLE days (days_code VARCHAR2, day_name VARCHAR2)
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 state (state_code CLOB, state_name CLOB, country_name CLOB)
CREATE TABLE month (month_number NUMBER, month_name CLOB)
CREATE TABLE time_interval (period CLOB, begin_time NUMBER, end_time NUMBER)
CREATE TABLE fare_basis (fare_basis_code CLOB, booking_class CLOB, class_type CLOB, premium CLOB, economy CLOB, discounted CLOB, night CLOB, season CLOB, basis_days CLOB)
CREATE TABLE airline (airline_code VARCHAR2, airline_name CLOB, note CLOB)
CREATE TABLE code_description (code VARCHAR2, description CLOB)
CREATE TABLE equipment_sequence (aircraft_code_sequence VARCHAR2, aircraft_code VARCHAR2)
CREATE TABLE fare (fare_id NUMBER, from_airport VARCHAR2, to_airport VARCHAR2, fare_basis_code CLOB, fare_airline CLOB, restriction_code CLOB, one_direction_cost NUMBER, round_trip_cost NUMBER, round_trip_required VARCHAR2)
CREATE TABLE flight_leg (flight_id NUMBER, leg_number NUMBER, leg_flight NUMBER)
CREATE TABLE flight (aircraft_code_sequence CLOB, airline_code VARCHAR2, airline_flight CLOB, arrival_time NUMBER, connections NUMBER, departure_time NUMBER, dual_carrier CLOB, flight_days CLOB, flight_id NUMBER, flight_number NUMBER, from_airport VARCHAR2, meal_code CLOB, stops NUMBER, time_elapsed NUMBER, to_airport VARCHAR2)
CREATE TABLE aircraft (aircraft_code VARCHAR2, aircraft_description VARCHAR2, manufacturer VARCHAR2, basic_type VARCHAR2, engines NUMBER, propulsion VARCHAR2, wide_body VARCHAR2, wing_span NUMBER, length NUMBER, weight NUMBER, capacity NUMBER, pay_load NUMBER, cruising_speed NUMBER, range_miles NUMBER, pressurized VARCHAR2)
CREATE TABLE airport (airport_code VARCHAR2, airport_name CLOB, airport_location CLOB, state_code VARCHAR2, country_name VARCHAR2, time_zone_code VARCHAR2, minimum_connect_time NUMBER)
CREATE TABLE compartment_class (compartment VARCHAR2, class_type VARCHAR2)
CREATE TABLE ground_service (city_code CLOB, airport_code CLOB, transport_type CLOB, ground_fare NUMBER)
CREATE TABLE city (city_code VARCHAR2, city_name VARCHAR2, state_code VARCHAR2, country_name VARCHAR2, time_zone_code VARCHAR2)
CREATE TABLE airport_service (city_code VARCHAR2, airport_code VARCHAR2, miles_distant NUMBER, direction VARCHAR2, minutes_distant NUMBER)
CREATE TABLE flight_fare (flight_id NUMBER, fare_id NUMBER)
CREATE TABLE dual_carrier (main_airline VARCHAR2, low_flight_number NUMBER, high_flight_number NUMBER, dual_airline VARCHAR2, service_name CLOB)
| show me flights from PITTSBURGH to PHILADELPHIA | SELECT DISTINCT flight.flight_id FROM airport_service AS AIRPORT_SERVICE_0, airport_service AS AIRPORT_SERVICE_1, city AS CITY_0, city AS CITY_1, flight WHERE CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'PITTSBURGH' AND CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'PHILADELPHIA' AND flight.from_airport = AIRPORT_SERVICE_0.airport_code AND flight.to_airport = AIRPORT_SERVICE_1.airport_code | SELECT DISTINCT "flight"."flight_id" FROM "airport_service" "AIRPORT_SERVICE_0" JOIN "city" "CITY_0" ON "AIRPORT_SERVICE_0"."city_code" = "CITY_0"."city_code" AND "CITY_0"."city_name" = 'PITTSBURGH' JOIN "flight" ON "AIRPORT_SERVICE_0"."airport_code" = "flight"."from_airport" JOIN "airport_service" "AIRPORT_SERVICE_1" ON "AIRPORT_SERVICE_1"."airport_code" = "flight"."to_airport" JOIN "city" "CITY_1" ON "AIRPORT_SERVICE_1"."city_code" = "CITY_1"."city_code" AND "CITY_1"."city_name" = 'PHILADELPHIA' | 0.490234 |
CREATE TABLE table_22113 ("District" CLOB, "Incumbent" CLOB, "Party" CLOB, "First elected" FLOAT, "Results" CLOB, "Candidates" CLOB)
| In the district of Pennsylvania 1, what is the total number of political parties? | SELECT COUNT("Party") FROM table_22113 WHERE "District" = 'Pennsylvania 1' | SELECT COUNT("Party") FROM "table_22113" WHERE "District" = 'Pennsylvania 1' | 0.074219 |
CREATE TABLE table_name_25 (japanese_voice_actor VARCHAR2, eagle_riders VARCHAR2)
| Who is the Japanese voice actor of Eagle Rider Ollie Keeawani? | SELECT japanese_voice_actor FROM table_name_25 WHERE eagle_riders = "ollie keeawani" | SELECT "japanese_voice_actor" FROM "table_name_25" WHERE "eagle_riders" = "ollie keeawani" | 0.087891 |
CREATE TABLE Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId 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 CloseReasonTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE FlagTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount NUMBER)
CREATE TABLE ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId NUMBER)
CREATE TABLE PostHistoryTypes (Id NUMBER, Name CLOB)
CREATE TABLE SuggestedEdits (Id NUMBER, PostId NUMBER, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId NUMBER, Comment CLOB, Text CLOB, Title CLOB, Tags CLOB, RevisionGUID other)
CREATE TABLE PendingFlags (Id NUMBER, FlagTypeId NUMBER, PostId NUMBER, CreationDate TIME, CloseReasonTypeId NUMBER, CloseAsOffTopicReasonTypeId NUMBER, DuplicateOfQuestionId NUMBER, BelongsOnBaseHostAddress CLOB)
CREATE TABLE 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 PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
CREATE TABLE PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId NUMBER)
CREATE TABLE ReviewTaskResultTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
CREATE TABLE SuggestedEditVotes (Id NUMBER, SuggestedEditId NUMBER, UserId NUMBER, VoteTypeId NUMBER, CreationDate TIME, TargetUserId NUMBER, TargetRepChange NUMBER)
CREATE TABLE ReviewTaskStates (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE TagSynonyms (Id NUMBER, SourceTagName CLOB, TargetTagName CLOB, CreationDate TIME, OwnerUserId NUMBER, AutoRenameCount NUMBER, LastAutoRename TIME, Score NUMBER, ApprovedByUserId NUMBER, ApprovalDate TIME)
CREATE TABLE ReviewTaskTypes (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 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 PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
CREATE TABLE PostTypes (Id NUMBER, Name CLOB)
CREATE TABLE PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId NUMBER)
CREATE TABLE VoteTypes (Id NUMBER, Name CLOB)
CREATE TABLE ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment CLOB)
CREATE TABLE Comments (Id NUMBER, PostId NUMBER, Score NUMBER, Text CLOB, CreationDate TIME, UserDisplayName CLOB, UserId NUMBER, ContentLicense CLOB)
CREATE TABLE ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
CREATE TABLE PostTags (PostId NUMBER, TagId NUMBER)
| Number of down votes on questions in past 30 days. | SELECT COUNT(*) FROM Votes JOIN Posts ON Votes.PostId = Posts.Id WHERE Votes.VoteTypeId IN (3) AND Votes.CreationDate >= DATEADD(DAY, -30, GETDATE()) AND Posts.PostTypeId IN (1) | SELECT COUNT(*) FROM "Votes" JOIN "Posts" ON "Posts"."Id" = "Votes"."PostId" AND "Posts"."PostTypeId" IN (1) WHERE "Votes"."CreationDate" >= DATEADD("DAY", -30, GETDATE()) AND "Votes"."VoteTypeId" IN (3) | 0.198242 |
CREATE TABLE table_44764 ("Round" FLOAT, "Pick" FLOAT, "Overall" FLOAT, "Name" CLOB, "Position" CLOB, "College" CLOB)
| What is Position, when Overallis less than 314, and when Pick is less than 8? | SELECT "Position" FROM table_44764 WHERE "Overall" < '314' AND "Pick" < '8' | SELECT "Position" FROM "table_44764" WHERE "Overall" < '314' AND "Pick" < '8' | 0.075195 |
CREATE TABLE flight_leg (flight_id NUMBER, leg_number NUMBER, leg_flight 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 month (month_number NUMBER, month_name CLOB)
CREATE TABLE restriction (restriction_code CLOB, advance_purchase NUMBER, stopovers CLOB, saturday_stay_required CLOB, minimum_stay NUMBER, maximum_stay NUMBER, application CLOB, no_discounts CLOB)
CREATE TABLE code_description (code VARCHAR2, description CLOB)
CREATE TABLE dual_carrier (main_airline VARCHAR2, low_flight_number NUMBER, high_flight_number NUMBER, dual_airline VARCHAR2, service_name CLOB)
CREATE TABLE time_interval (period CLOB, begin_time NUMBER, end_time NUMBER)
CREATE TABLE fare_basis (fare_basis_code CLOB, booking_class CLOB, class_type CLOB, premium CLOB, economy CLOB, discounted CLOB, night CLOB, season CLOB, basis_days CLOB)
CREATE TABLE flight_fare (flight_id NUMBER, fare_id NUMBER)
CREATE TABLE state (state_code CLOB, state_name CLOB, country_name 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 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 city (city_code VARCHAR2, city_name VARCHAR2, state_code VARCHAR2, country_name VARCHAR2, time_zone_code VARCHAR2)
CREATE TABLE flight (aircraft_code_sequence CLOB, airline_code VARCHAR2, airline_flight CLOB, arrival_time NUMBER, connections NUMBER, departure_time NUMBER, dual_carrier CLOB, flight_days CLOB, flight_id NUMBER, flight_number NUMBER, from_airport VARCHAR2, meal_code CLOB, stops NUMBER, time_elapsed NUMBER, to_airport VARCHAR2)
CREATE TABLE airline (airline_code VARCHAR2, airline_name CLOB, note CLOB)
CREATE TABLE class_of_service (booking_class VARCHAR2, rank NUMBER, class_description CLOB)
CREATE TABLE days (days_code VARCHAR2, day_name VARCHAR2)
CREATE TABLE time_zone (time_zone_code CLOB, time_zone_name CLOB, hours_from_gmt NUMBER)
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 compartment_class (compartment VARCHAR2, class_type VARCHAR2)
CREATE TABLE ground_service (city_code CLOB, airport_code CLOB, transport_type CLOB, ground_fare NUMBER)
CREATE TABLE airport_service (city_code VARCHAR2, airport_code VARCHAR2, miles_distant NUMBER, direction VARCHAR2, minutes_distant NUMBER)
CREATE TABLE food_service (meal_code CLOB, meal_number NUMBER, compartment CLOB, meal_description VARCHAR2)
CREATE TABLE equipment_sequence (aircraft_code_sequence VARCHAR2, aircraft_code VARCHAR2)
CREATE TABLE date_day (month_number NUMBER, day_number NUMBER, year NUMBER, day_name VARCHAR2)
| what time are flights from DENVER to SAN FRANCISCO on CO | SELECT DISTINCT flight.departure_time 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 = 'DENVER' AND CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'SAN FRANCISCO' AND flight.from_airport = AIRPORT_SERVICE_0.airport_code AND flight.to_airport = AIRPORT_SERVICE_1.airport_code) AND flight.airline_code = 'CO' | SELECT DISTINCT "flight"."departure_time" FROM "airport_service" "AIRPORT_SERVICE_0" JOIN "city" "CITY_0" ON "AIRPORT_SERVICE_0"."city_code" = "CITY_0"."city_code" AND "CITY_0"."city_name" = 'DENVER' JOIN "flight" ON "AIRPORT_SERVICE_0"."airport_code" = "flight"."from_airport" AND "flight"."airline_code" = 'CO' 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" = 'SAN FRANCISCO' | 0.526367 |
CREATE TABLE table_name_53 (player VARCHAR2, score VARCHAR2)
| What player has a score of 79? | SELECT player FROM table_name_53 WHERE score = "79" | SELECT "player" FROM "table_name_53" WHERE "79" = "score" | 0.055664 |
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)
CREATE TABLE regions (REGION_ID NUMBER, REGION_NAME 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 job_history (EMPLOYEE_ID NUMBER, START_DATE DATE, END_DATE DATE, JOB_ID VARCHAR2, DEPARTMENT_ID NUMBER)
| For those employees who do not work in departments with managers that have ids between 100 and 200, draw a bar chart about the distribution of job_id and salary , rank by the X-axis in asc. | SELECT JOB_ID, SALARY FROM employees WHERE NOT DEPARTMENT_ID IN (SELECT DEPARTMENT_ID FROM departments WHERE MANAGER_ID BETWEEN 100 AND 200) ORDER BY JOB_ID | SELECT "JOB_ID", "SALARY" FROM "employees" WHERE NOT "DEPARTMENT_ID" IN (SELECT "DEPARTMENT_ID" FROM "departments" WHERE "MANAGER_ID" <= 200 AND "MANAGER_ID" >= 100) ORDER BY "JOB_ID" | 0.178711 |
CREATE TABLE table_name_28 (agg VARCHAR2, team__number2 VARCHAR2)
| When Estudiantes was team #2, what was their agg. value? | SELECT agg FROM table_name_28 WHERE team__number2 = "estudiantes" | SELECT "agg" FROM "table_name_28" WHERE "estudiantes" = "team__number2" | 0.069336 |
CREATE TABLE table_2933761_1 (played_by VARCHAR2, occupation VARCHAR2)
| Who played the mathematics student? | SELECT played_by FROM table_2933761_1 WHERE occupation = "Mathematics Student" | SELECT "played_by" FROM "table_2933761_1" WHERE "Mathematics Student" = "occupation" | 0.082031 |
CREATE TABLE table_57529 ("Entrant" CLOB, "Constructor" CLOB, "Chassis" CLOB, "Engine" CLOB, "Tyre" CLOB, "Driver" CLOB, "Rounds" CLOB)
| Which round has a car with a chassis of sf01? | SELECT "Rounds" FROM table_57529 WHERE "Chassis" = 'sf01' | SELECT "Rounds" FROM "table_57529" WHERE "Chassis" = 'sf01' | 0.057617 |
CREATE TABLE table_38203 ("Rank" FLOAT, "Nation" CLOB, "Gold" FLOAT, "Silver" FLOAT, "Bronze" FLOAT, "Total" FLOAT)
| What is the leowest number of Bronze medals for Jamaica who ranked less than 4 and had more than 0 silver medals and a total of less than 22 medals? | SELECT MIN("Bronze") FROM table_38203 WHERE "Silver" > '0' AND "Rank" < '4' AND "Nation" = 'jamaica' AND "Total" < '22' | SELECT MIN("Bronze") FROM "table_38203" WHERE "Nation" = 'jamaica' AND "Rank" < '4' AND "Silver" > '0' AND "Total" < '22' | 0.118164 |
CREATE TABLE table_202_38 (id NUMBER, "year" NUMBER, "title" CLOB, "role" CLOB, "notes" CLOB)
| how many times has she played herself ? | SELECT COUNT(*) FROM table_202_38 WHERE "role" = 'herself' | SELECT COUNT(*) FROM "table_202_38" WHERE "role" = 'herself' | 0.058594 |
CREATE TABLE table_15464 ("Ride Name" CLOB, "Type" CLOB, "Opened in" FLOAT, "Themed Land" CLOB, "Manufacture" CLOB)
| What is the latest year a ride opened that was manufactured by Zamperla, was a convoy ride, and had a name of Tiny Truckers? | SELECT MAX("Opened in") FROM table_15464 WHERE "Manufacture" = 'zamperla' AND "Type" = 'convoy ride' AND "Ride Name" = 'tiny truckers' | SELECT MAX("Opened in") FROM "table_15464" WHERE "Manufacture" = 'zamperla' AND "Ride Name" = 'tiny truckers' AND "Type" = 'convoy ride' | 0.132813 |
CREATE TABLE party (region_id VARCHAR2, party_id VARCHAR2)
CREATE TABLE party_events (party_id VARCHAR2, Event_Name VARCHAR2)
CREATE TABLE region (region_id VARCHAR2, region_name VARCHAR2)
| How many Annual Meeting events happened in the United Kingdom region? | SELECT COUNT(*) FROM region AS t1 JOIN party AS t2 ON t1.region_id = t2.region_id JOIN party_events AS t3 ON t2.party_id = t3.party_id WHERE t1.region_name = "United Kingdom" AND t3.Event_Name = "Annaual Meeting" | SELECT COUNT(*) FROM "region" "t1" JOIN "party" "t2" ON "t1"."region_id" = "t2"."region_id" JOIN "party_events" "t3" ON "Annaual Meeting" = "t3"."Event_Name" AND "t2"."party_id" = "t3"."party_id" WHERE "United Kingdom" = "t1"."region_name" | 0.233398 |
CREATE TABLE table_203_707 (id NUMBER, "rank" NUMBER, "npc" CLOB, "gold" NUMBER, "silver" NUMBER, "bronze" NUMBER, "total" NUMBER)
| how many silver medals did poland win ? | SELECT "silver" FROM table_203_707 WHERE "npc" = 'poland' | SELECT "silver" FROM "table_203_707" WHERE "npc" = 'poland' | 0.057617 |
CREATE TABLE table_12102 ("Date" CLOB, "Epicenter" CLOB, "Magnitude" CLOB, "Intensity" CLOB, "Casualties" CLOB)
| What is the epicenter on January 1, 1965? | SELECT "Epicenter" FROM table_12102 WHERE "Date" = 'january 1, 1965' | SELECT "Epicenter" FROM "table_12102" WHERE "Date" = 'january 1, 1965' | 0.068359 |
CREATE TABLE table_train_93 ("id" NUMBER, "mini_mental_state_examination_mmse" NUMBER, "creatinine_clearance_cl" FLOAT, "cornell_scale_for_depression_in_dementia_csdd" NUMBER, "clinical_dementia_rating_cdr" FLOAT, "NOUSE" FLOAT)
| mini _ mental state examination ( mmse ) range: 20 to 30 | SELECT * FROM table_train_93 WHERE mini_mental_state_examination_mmse >= 20 AND mini_mental_state_examination_mmse <= 30 | SELECT * FROM "table_train_93" WHERE "mini_mental_state_examination_mmse" <= 30 AND "mini_mental_state_examination_mmse" >= 20 | 0.123047 |
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
| What is the admission type and disease of patient name Brian Brock? | SELECT demographic.admission_type, demographic.diagnosis FROM demographic WHERE demographic.name = "Brian Brock" | SELECT "demographic"."admission_type", "demographic"."diagnosis" FROM "demographic" WHERE "Brian Brock" = "demographic"."name" | 0.123047 |
CREATE TABLE storm (Storm_ID NUMBER, Name CLOB, Dates_active CLOB, Max_speed NUMBER, Damage_millions_USD FLOAT, Number_Deaths NUMBER)
CREATE TABLE affected_region (Region_id NUMBER, Storm_ID NUMBER, Number_city_affected FLOAT)
CREATE TABLE region (Region_id NUMBER, Region_code CLOB, Region_name CLOB)
| Show me a bar chart for how many storms occured in each region?, sort by the y axis from low to high please. | SELECT Region_name, COUNT(*) FROM region AS T1 JOIN affected_region AS T2 ON T1.Region_id = T2.Region_id GROUP BY T1.Region_id ORDER BY COUNT(*) | SELECT "Region_name", COUNT(*) FROM "region" "T1" JOIN "affected_region" "T2" ON "T1"."Region_id" = "T2"."Region_id" GROUP BY "T1"."Region_id" ORDER BY COUNT(*) | 0.15625 |
CREATE TABLE table_72629 ("Year" FLOAT, "Mens singles" CLOB, "Womens singles" CLOB, "Mens doubles" CLOB, "Womens doubles" CLOB, "Mixed doubles" CLOB)
| In 1987 who was the mens singles | SELECT "Mens singles" FROM table_72629 WHERE "Year" = '1987' | SELECT "Mens singles" FROM "table_72629" WHERE "Year" = '1987' | 0.060547 |
CREATE TABLE table_name_73 (stage NUMBER, category VARCHAR2, year VARCHAR2)
| What is the sum of the stages for category 1 races after the year 2003? | SELECT SUM(stage) FROM table_name_73 WHERE category = "1" AND year > 2003 | SELECT SUM("stage") FROM "table_name_73" WHERE "1" = "category" AND "year" > 2003 | 0.079102 |
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 icustays (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, first_careunit CLOB, last_careunit CLOB, first_wardid NUMBER, last_wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE admissions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, admittime TIME, dischtime TIME, admission_type CLOB, admission_location CLOB, discharge_location CLOB, insurance CLOB, language CLOB, marital_status CLOB, ethnicity CLOB, age NUMBER)
CREATE TABLE inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
CREATE TABLE labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
CREATE TABLE cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE 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 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 procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE prescriptions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, startdate TIME, enddate TIME, drug CLOB, dose_val_rx CLOB, dose_unit_rx CLOB, route CLOB)
CREATE TABLE 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 patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
| how many prescriptions for methylnaltrexone have been ordered in the last year? | SELECT COUNT(*) FROM prescriptions WHERE prescriptions.drug = 'methylnaltrexone' AND DATETIME(prescriptions.startdate, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year') | SELECT COUNT(*) FROM "prescriptions" WHERE "prescriptions"."drug" = 'methylnaltrexone' AND DATETIME("prescriptions"."startdate", 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year') | 0.195313 |
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 microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
CREATE TABLE inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
CREATE TABLE prescriptions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, startdate TIME, enddate TIME, drug CLOB, dose_val_rx CLOB, dose_unit_rx CLOB, route CLOB)
CREATE TABLE d_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 cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost 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 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 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 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)
| what was the name of an organism which was found in the last sputum microbiology test of patient 22648 during their current hospital encounter? | SELECT microbiologyevents.org_name FROM microbiologyevents WHERE microbiologyevents.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 22648 AND admissions.dischtime IS NULL) AND microbiologyevents.spec_type_desc = 'sputum' AND NOT microbiologyevents.org_name IS NULL ORDER BY microbiologyevents.charttime DESC LIMIT 1 | WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."dischtime" IS NULL AND "admissions"."subject_id" = 22648 GROUP BY "hadm_id") SELECT "microbiologyevents"."org_name" FROM "microbiologyevents" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "microbiologyevents"."hadm_id" WHERE "microbiologyevents"."spec_type_desc" = 'sputum' AND NOT "_u_0"."" IS NULL AND NOT "microbiologyevents"."org_name" IS NULL ORDER BY "microbiologyevents"."charttime" DESC FETCH FIRST 1 ROWS ONLY | 0.483398 |
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 PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
CREATE TABLE SuggestedEditVotes (Id NUMBER, SuggestedEditId NUMBER, UserId NUMBER, VoteTypeId NUMBER, CreationDate TIME, TargetUserId NUMBER, TargetRepChange NUMBER)
CREATE TABLE Comments (Id NUMBER, PostId NUMBER, Score NUMBER, Text CLOB, CreationDate TIME, UserDisplayName CLOB, UserId NUMBER, ContentLicense CLOB)
CREATE TABLE CloseReasonTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostHistoryTypes (Id NUMBER, Name CLOB)
CREATE TABLE PostTypes (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 Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount NUMBER)
CREATE TABLE ReviewTaskResultTypes (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 ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
CREATE TABLE VoteTypes (Id NUMBER, Name CLOB)
CREATE TABLE ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment CLOB)
CREATE TABLE PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
CREATE TABLE TagSynonyms (Id NUMBER, SourceTagName CLOB, TargetTagName CLOB, CreationDate TIME, OwnerUserId NUMBER, AutoRenameCount NUMBER, LastAutoRename TIME, Score NUMBER, ApprovedByUserId NUMBER, ApprovalDate TIME)
CREATE TABLE ReviewTaskTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE CloseAsOffTopicReasonTypes (Id NUMBER, IsUniversal BOOLEAN, InputTitle CLOB, MarkdownInputGuidance CLOB, MarkdownPostOwnerGuidance CLOB, MarkdownPrivilegedUserGuidance CLOB, MarkdownConcensusDescription CLOB, CreationDate TIME, CreationModeratorId NUMBER, ApprovalDate TIME, ApprovalModeratorId NUMBER, DeactivationDate TIME, DeactivationModeratorId NUMBER)
CREATE TABLE 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 Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
CREATE TABLE ReviewTaskStates (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE FlagTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId NUMBER)
CREATE TABLE Users (Id NUMBER, Reputation NUMBER, CreationDate TIME, DisplayName CLOB, LastAccessDate TIME, WebsiteUrl CLOB, Location CLOB, AboutMe CLOB, Views NUMBER, UpVotes NUMBER, DownVotes NUMBER, ProfileImageUrl CLOB, EmailHash CLOB, AccountId NUMBER)
CREATE TABLE PostTags (PostId NUMBER, TagId NUMBER)
CREATE TABLE PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId NUMBER)
CREATE TABLE Posts (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE PendingFlags (Id NUMBER, FlagTypeId NUMBER, PostId NUMBER, CreationDate TIME, CloseReasonTypeId NUMBER, CloseAsOffTopicReasonTypeId NUMBER, DuplicateOfQuestionId NUMBER, BelongsOnBaseHostAddress CLOB)
| Questions per year by number answers. | SELECT YEAR(sel.CreationDate) AS "year", COUNT(*) AS "count" FROM (SELECT p.Id, p.CreationDate FROM Posts AS p WHERE p.PostTypeId = 1 AND p.ClosedDate IS NULL AND p.AnswerCount = 0) AS sel GROUP BY YEAR(sel.CreationDate) ORDER BY Year | SELECT YEAR("p"."CreationDate") AS "year", COUNT(*) AS "count" FROM "Posts" "p" WHERE "p"."AnswerCount" = 0 AND "p"."ClosedDate" IS NULL AND "p"."PostTypeId" = 1 GROUP BY YEAR("p"."CreationDate") ORDER BY "Year" | 0.206055 |
CREATE TABLE PostHistoryTypes (Id NUMBER, Name CLOB)
CREATE TABLE FlagTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Posts (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE ReviewTaskTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount NUMBER)
CREATE TABLE PostsWithDeleted (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE TagSynonyms (Id NUMBER, SourceTagName CLOB, TargetTagName CLOB, CreationDate TIME, OwnerUserId NUMBER, AutoRenameCount NUMBER, LastAutoRename TIME, Score NUMBER, ApprovedByUserId NUMBER, ApprovalDate TIME)
CREATE TABLE ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
CREATE TABLE ReviewTaskResultTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostTags (PostId NUMBER, TagId NUMBER)
CREATE TABLE PostHistory (Id NUMBER, PostHistoryTypeId NUMBER, PostId NUMBER, RevisionGUID other, CreationDate TIME, UserId NUMBER, UserDisplayName CLOB, Comment CLOB, Text CLOB, ContentLicense CLOB)
CREATE TABLE ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment CLOB)
CREATE TABLE ReviewTaskStates (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 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 PostTypes (Id NUMBER, Name CLOB)
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 VoteTypes (Id NUMBER, Name CLOB)
CREATE TABLE PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId NUMBER)
CREATE TABLE Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
CREATE TABLE Comments (Id NUMBER, PostId NUMBER, Score NUMBER, Text CLOB, CreationDate TIME, UserDisplayName CLOB, UserId NUMBER, ContentLicense CLOB)
CREATE TABLE PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
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 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 SuggestedEditVotes (Id NUMBER, SuggestedEditId NUMBER, UserId NUMBER, VoteTypeId NUMBER, CreationDate TIME, TargetUserId NUMBER, TargetRepChange NUMBER)
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 ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId NUMBER)
| Score to post length ratio. | SELECT Id AS "post_link", Score, LENGTH(Body) AS Length, CAST(Score AS FLOAT) / LENGTH(Body) AS Ratio, OwnerUserId AS "user_link" FROM Posts WHERE Body != '' AND Score > 100 ORDER BY CAST(Score AS FLOAT) / LENGTH(Body) DESC | SELECT "Id" AS "post_link", "Score", LENGTH("Body") AS "Length", CAST("Score" AS FLOAT) / NULLIF(LENGTH("Body"), 0) AS "Ratio", "OwnerUserId" AS "user_link" FROM "Posts" WHERE "Body" <> '' AND "Score" > 100 ORDER BY CAST("Score" AS FLOAT) / NULLIF(LENGTH("Body"), 0) DESC | 0.264648 |
CREATE TABLE PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId NUMBER)
CREATE TABLE PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
CREATE TABLE CloseAsOffTopicReasonTypes (Id NUMBER, IsUniversal BOOLEAN, InputTitle CLOB, MarkdownInputGuidance CLOB, MarkdownPostOwnerGuidance CLOB, MarkdownPrivilegedUserGuidance CLOB, MarkdownConcensusDescription CLOB, CreationDate TIME, CreationModeratorId NUMBER, ApprovalDate TIME, ApprovalModeratorId NUMBER, DeactivationDate TIME, DeactivationModeratorId NUMBER)
CREATE TABLE ReviewTaskStates (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId NUMBER)
CREATE TABLE Comments (Id NUMBER, PostId NUMBER, Score NUMBER, Text CLOB, CreationDate TIME, UserDisplayName CLOB, UserId NUMBER, ContentLicense CLOB)
CREATE TABLE PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
CREATE TABLE ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment CLOB)
CREATE TABLE PendingFlags (Id NUMBER, FlagTypeId NUMBER, PostId NUMBER, CreationDate TIME, CloseReasonTypeId NUMBER, CloseAsOffTopicReasonTypeId NUMBER, DuplicateOfQuestionId NUMBER, BelongsOnBaseHostAddress CLOB)
CREATE TABLE PostTags (PostId NUMBER, TagId NUMBER)
CREATE TABLE ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId NUMBER)
CREATE TABLE ReviewTaskResultTypes (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 CloseReasonTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostHistoryTypes (Id NUMBER, Name CLOB)
CREATE TABLE TagSynonyms (Id NUMBER, SourceTagName CLOB, TargetTagName CLOB, CreationDate TIME, OwnerUserId NUMBER, AutoRenameCount NUMBER, LastAutoRename TIME, Score NUMBER, ApprovedByUserId NUMBER, ApprovalDate TIME)
CREATE TABLE Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId 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 PostHistory (Id NUMBER, PostHistoryTypeId NUMBER, PostId NUMBER, RevisionGUID other, CreationDate TIME, UserId NUMBER, UserDisplayName CLOB, Comment CLOB, Text CLOB, ContentLicense CLOB)
CREATE TABLE FlagTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Posts (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE SuggestedEditVotes (Id NUMBER, SuggestedEditId NUMBER, UserId NUMBER, VoteTypeId NUMBER, CreationDate TIME, TargetUserId NUMBER, TargetRepChange NUMBER)
CREATE TABLE 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 ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
CREATE TABLE PostTypes (Id NUMBER, Name CLOB)
CREATE TABLE VoteTypes (Id NUMBER, Name CLOB)
CREATE TABLE ReviewTaskTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
CREATE TABLE Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount NUMBER)
| Accepted answer percentage over time. accepted answers, total answers, and their ratio: for each month; tabulated over time | SELECT Month AS "Month", SUM(A.AC) AS "AC", SUM(B.TOTAL) AS "Total", ROUND(CAST(SUM(A.AC) AS FLOAT) / SUM(B.TOTAL) * 100, 2) AS "AC %age" FROM (SELECT DATEFROMPARTS(TIME_TO_STR(q.CreationDate, '%Y'), TIME_TO_STR(q.CreationDate, '%M'), 1) AS "Month", COUNT(*) AS "AC" FROM Posts AS q JOIN Posts AS a ON q.AcceptedAnswerId = a.Id WHERE a.OwnerUserId = @UserId GROUP BY DATEFROMPARTS(TIME_TO_STR(q.CreationDate, '%Y'), TIME_TO_STR(q.CreationDate, '%M'), 1)) AS A JOIN (SELECT COUNT(*) AS "TOTAL" FROM Posts WHERE OwnerUserId = @UserId AND PostTypeId = 2) AS B ON 1 = 1 GROUP BY Month ORDER BY 'AC %age' DESC | WITH "A" AS (SELECT COUNT(*) AS "AC" FROM "Posts" "q" JOIN "Posts" "a" ON "a"."Id" = "q"."AcceptedAnswerId" AND "a"."OwnerUserId" = @UserId GROUP BY DATE_FROM_PARTS(TO_CHAR("q"."CreationDate", 'YYYY'), TO_CHAR("q"."CreationDate", 'MI'), 1)), "_u_0" AS (SELECT COUNT(*) AS "TOTAL", @UserId AS "_u_1", 2 AS "_u_2" FROM "Posts" GROUP BY @UserId, 2) SELECT "Month" AS "Month", SUM("A"."AC") AS "AC", SUM("B"."TOTAL") AS "Total", ROUND(CAST(SUM("A"."AC") AS FLOAT) / NULLIF(SUM("B"."TOTAL"), 0) * 100, 2) AS "AC %age" FROM "A" "A" CROSS JOIN COALESCE("_u_0"."TOTAL", 0) LEFT JOIN "_u_0" "_u_0" ON "OwnerUserId" = "_u_0"."_u_1" AND "PostTypeId" = "_u_0"."_u_2" GROUP BY 1 ORDER BY 'AC %age' DESC | 0.672852 |
CREATE TABLE table_42299 ("Office" CLOB, "Democratic ticket" CLOB, "Republican ticket" CLOB, "American Labor ticket" CLOB, "Socialist ticket" CLOB)
| Who's the Republican ticket with a Socialist ticket of frank r. crosswaith? | SELECT "Republican ticket" FROM table_42299 WHERE "Socialist ticket" = 'frank r. crosswaith' | SELECT "Republican ticket" FROM "table_42299" WHERE "Socialist ticket" = 'frank r. crosswaith' | 0.091797 |
CREATE TABLE table_204_95 (id NUMBER, "name" CLOB, "title" CLOB, "first year\ in this position" NUMBER, "years at nebraska" CLOB, "alma mater" CLOB)
| how many consecutive years did w. harold browne coach | SELECT "years at nebraska" - "years at nebraska" FROM table_204_95 WHERE "name" = 'w. harold browne' | SELECT "years at nebraska" - "years at nebraska" FROM "table_204_95" WHERE "name" = 'w. harold browne' | 0.099609 |
CREATE TABLE table_36417 ("Game" FLOAT, "February" FLOAT, "Opponent" CLOB, "Score" CLOB, "Record" CLOB)
| Who was the opponent in games over 58, after Feb 16, and having a record of 40-20-4? | SELECT "Opponent" FROM table_36417 WHERE "Game" > '58' AND "February" > '16' AND "Record" = '40-20-4' | SELECT "Opponent" FROM "table_36417" WHERE "February" > '16' AND "Game" > '58' AND "Record" = '40-20-4' | 0.100586 |
CREATE TABLE jobs (JOB_ID VARCHAR2, JOB_TITLE VARCHAR2, MIN_SALARY NUMBER, MAX_SALARY NUMBER)
CREATE TABLE countries (COUNTRY_ID VARCHAR2, COUNTRY_NAME VARCHAR2, REGION_ID NUMBER)
CREATE TABLE employees (EMPLOYEE_ID NUMBER, FIRST_NAME VARCHAR2, LAST_NAME VARCHAR2, EMAIL VARCHAR2, PHONE_NUMBER VARCHAR2, HIRE_DATE DATE, JOB_ID VARCHAR2, SALARY NUMBER, COMMISSION_PCT NUMBER, MANAGER_ID NUMBER, DEPARTMENT_ID NUMBER)
CREATE TABLE regions (REGION_ID NUMBER, REGION_NAME VARCHAR2)
CREATE TABLE job_history (EMPLOYEE_ID NUMBER, START_DATE DATE, END_DATE DATE, JOB_ID VARCHAR2, DEPARTMENT_ID NUMBER)
CREATE TABLE 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)
| Bin the hire date into Month interval, and then compute the average salary of employees in each month for a bar chart, note that just select those employees without the letter M in their first name, display by the the average of salary from high to low. | SELECT HIRE_DATE, AVG(SALARY) FROM employees WHERE NOT FIRST_NAME LIKE '%M%' ORDER BY AVG(SALARY) DESC | SELECT "HIRE_DATE", AVG("SALARY") FROM "employees" WHERE NOT "FIRST_NAME" LIKE '%M%' ORDER BY AVG("SALARY") DESC | 0.109375 |
CREATE TABLE diagnosis (diagnosisid NUMBER, patientunitstayid NUMBER, diagnosisname CLOB, diagnosistime TIME, icd9code CLOB)
CREATE TABLE treatment (treatmentid NUMBER, patientunitstayid NUMBER, treatmentname CLOB, treatmenttime TIME)
CREATE TABLE allergy (allergyid NUMBER, patientunitstayid NUMBER, drugname CLOB, allergyname CLOB, allergytime TIME)
CREATE TABLE 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 patient (uniquepid CLOB, patienthealthsystemstayid NUMBER, patientunitstayid NUMBER, gender CLOB, age CLOB, ethnicity CLOB, hospitalid NUMBER, wardid NUMBER, admissionheight NUMBER, admissionweight NUMBER, dischargeweight NUMBER, hospitaladmittime TIME, hospitaladmitsource CLOB, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus CLOB)
CREATE TABLE lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime TIME)
CREATE TABLE microlab (microlabid NUMBER, patientunitstayid NUMBER, culturesite CLOB, organism CLOB, culturetakentime TIME)
CREATE TABLE medication (medicationid NUMBER, patientunitstayid NUMBER, drugname CLOB, dosage CLOB, routeadmin CLOB, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE intakeoutput (intakeoutputid NUMBER, patientunitstayid NUMBER, cellpath CLOB, celllabel CLOB, cellvaluenumeric NUMBER, intakeoutputtime TIME)
| what was the sum of patient 025-55786's hospital bill during their stay on their first hospital visit? | SELECT SUM(cost.cost) FROM cost WHERE cost.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '025-55786' AND NOT patient.hospitaldischargetime IS NULL ORDER BY patient.hospitaladmittime LIMIT 1) | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '025-55786' AND NOT "patient"."hospitaldischargetime" IS NULL GROUP BY "patienthealthsystemstayid" ORDER BY "patient"."hospitaladmittime" FETCH FIRST 1 ROWS ONLY) SELECT SUM("cost"."cost") FROM "cost" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "cost"."patienthealthsystemstayid" WHERE NOT "_u_0"."" IS NULL | 0.398438 |
CREATE TABLE table_name_38 (record VARCHAR2, score VARCHAR2)
| What is the Record of the game with a Score of 65-48? | SELECT record FROM table_name_38 WHERE score = "65-48" | SELECT "record" FROM "table_name_38" WHERE "65-48" = "score" | 0.058594 |
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 transfers (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, eventtype CLOB, careunit CLOB, wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label 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 cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
CREATE TABLE 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_procedures (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 d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
CREATE TABLE procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE admissions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, admittime TIME, dischtime TIME, admission_type CLOB, admission_location CLOB, discharge_location CLOB, insurance CLOB, language CLOB, marital_status CLOB, ethnicity CLOB, age NUMBER)
CREATE TABLE outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
CREATE TABLE d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
| have patient 24971 been prescribed with the medication warfarin, albuterol mdi, or glucagon on the last hospital visit? | SELECT COUNT(*) > 0 FROM prescriptions WHERE prescriptions.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 24971 AND NOT admissions.dischtime IS NULL ORDER BY admissions.admittime DESC LIMIT 1) AND prescriptions.drug IN ('warfarin', 'albuterol mdi', 'glucagon') | WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 24971 AND NOT "admissions"."dischtime" IS NULL GROUP BY "hadm_id" ORDER BY "admissions"."admittime" DESC FETCH FIRST 1 ROWS ONLY) SELECT COUNT(*) > 0 FROM "prescriptions" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "prescriptions"."hadm_id" WHERE "prescriptions"."drug" IN ('warfarin', 'albuterol mdi', 'glucagon') AND NOT "_u_0"."" IS NULL | 0.422852 |
CREATE TABLE video_games (gameid NUMBER, gname CLOB, gtype CLOB)
CREATE TABLE plays_games (stuid NUMBER, gameid NUMBER, hours_played NUMBER)
CREATE TABLE student (stuid NUMBER, lname CLOB, fname CLOB, age NUMBER, sex CLOB, major NUMBER, advisor NUMBER, city_code CLOB)
CREATE TABLE sportsinfo (stuid NUMBER, sportname CLOB, hoursperweek NUMBER, gamesplayed NUMBER, onscholarship CLOB)
| Which game type has least number of games? | SELECT gtype FROM video_games GROUP BY gtype ORDER BY COUNT(*) LIMIT 1 | SELECT "gtype" FROM "video_games" GROUP BY "gtype" ORDER BY COUNT(*) FETCH FIRST 1 ROWS ONLY | 0.089844 |
CREATE TABLE table_204_413 (id NUMBER, "medal" CLOB, "name" CLOB, "sport" CLOB, "event" CLOB, "date" CLOB)
| number of silver and bronze medals for finland in the 1924 summer olympics | SELECT COUNT(*) FROM table_204_413 WHERE "medal" = 'silver' OR "medal" = 'bronze' | SELECT COUNT(*) FROM "table_204_413" WHERE "medal" = 'bronze' OR "medal" = 'silver' | 0.081055 |
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
| count the number of patients whose primary disease is abdominal pain and age is less than 77? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.diagnosis = "ABDOMINAL PAIN" AND demographic.age < "77" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "77" > "demographic"."age" AND "ABDOMINAL PAIN" = "demographic"."diagnosis" | 0.146484 |
CREATE TABLE table_53354 ("Track" FLOAT, "Title" CLOB, "Author ( s ) " CLOB, "Recorded" CLOB, "Length" CLOB)
| Which title is 3:38 long? | SELECT "Title" FROM table_53354 WHERE "Length" = '3:38' | SELECT "Title" FROM "table_53354" WHERE "Length" = '3:38' | 0.055664 |
CREATE TABLE student (stuid NUMBER, lname CLOB, fname CLOB, age NUMBER, sex CLOB, major NUMBER, advisor NUMBER, city_code CLOB)
CREATE TABLE has_amenity (dormid NUMBER, amenid NUMBER)
CREATE TABLE dorm (dormid NUMBER, dorm_name CLOB, student_capacity NUMBER, gender CLOB)
CREATE TABLE dorm_amenity (amenid NUMBER, amenity_name CLOB)
CREATE TABLE lives_in (stuid NUMBER, dormid NUMBER, room_number NUMBER)
| Find the last name of students who is either female (sex is F) and living in the city of code BAL or male (sex is M) and in age of below 20. | SELECT lname FROM student WHERE sex = 'F' AND city_code = 'BAL' UNION SELECT lname FROM student WHERE sex = 'M' AND age < 20 | SELECT "lname" FROM "student" WHERE "city_code" = 'BAL' AND "sex" = 'F' UNION SELECT "lname" FROM "student" WHERE "age" < 20 AND "sex" = 'M' | 0.136719 |
CREATE TABLE table_name_50 (date VARCHAR2, away_team VARCHAR2)
| What was the date when the away team was carlisle united? | SELECT date FROM table_name_50 WHERE away_team = "carlisle united" | SELECT "date" FROM "table_name_50" WHERE "away_team" = "carlisle united" | 0.070313 |
CREATE TABLE table_58185 ("Year" FLOAT, "Award Ceremony" CLOB, "Category" CLOB, "Nominee" CLOB, "Result" CLOB)
| Who was nominated for best female performer? | SELECT "Nominee" FROM table_58185 WHERE "Category" = 'best female performer' | SELECT "Nominee" FROM "table_58185" WHERE "Category" = 'best female performer' | 0.076172 |
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 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 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 lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime TIME)
| list the three most common microbiology tests done on patients who have previously received endotracheal tube - insertion within 2 months during the previous year? | SELECT t3.culturesite FROM (SELECT t2.culturesite, DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS c1 FROM (SELECT patient.uniquepid, treatment.treatmenttime FROM treatment JOIN patient ON treatment.patientunitstayid = patient.patientunitstayid WHERE treatment.treatmentname = 'endotracheal tube - insertion' AND DATETIME(treatment.treatmenttime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year')) AS t1 JOIN (SELECT patient.uniquepid, microlab.culturesite, microlab.culturetakentime FROM microlab JOIN patient ON microlab.patientunitstayid = patient.patientunitstayid WHERE DATETIME(microlab.culturetakentime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year')) AS t2 ON t1.uniquepid = t2.uniquepid WHERE t1.treatmenttime < t2.culturetakentime AND DATETIME(t2.culturetakentime) BETWEEN DATETIME(t1.treatmenttime) AND DATETIME(t1.treatmenttime, '+2 month') GROUP BY t2.culturesite) AS t3 WHERE t3.c1 <= 3 | WITH "t2" AS (SELECT "patient"."uniquepid", "microlab"."culturesite", "microlab"."culturetakentime" FROM "microlab" JOIN "patient" ON "microlab"."patientunitstayid" = "patient"."patientunitstayid" WHERE DATETIME("microlab"."culturetakentime", 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year')), "t3" AS (SELECT "t2"."culturesite", DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS "c1" FROM "treatment" JOIN "patient" ON "patient"."patientunitstayid" = "treatment"."patientunitstayid" JOIN "t2" "t2" ON "patient"."uniquepid" = "t2"."uniquepid" AND "t2"."culturetakentime" > "treatment"."treatmenttime" AND DATETIME("t2"."culturetakentime") <= DATETIME("treatment"."treatmenttime", '+2 month') AND DATETIME("t2"."culturetakentime") >= DATETIME("treatment"."treatmenttime") WHERE "treatment"."treatmentname" = 'endotracheal tube - insertion' AND DATETIME("treatment"."treatmenttime", 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year') GROUP BY "t2"."culturesite") SELECT "t3"."culturesite" FROM "t3" "t3" WHERE "t3"."c1" <= 3 | 1.037109 |
CREATE TABLE table_name_27 (date VARCHAR2, pos VARCHAR2, venue VARCHAR2)
| On which date was the position less than 4 at Piraeus? | SELECT date FROM table_name_27 WHERE pos < 4 AND venue = "piraeus" | SELECT "date" FROM "table_name_27" WHERE "piraeus" = "venue" AND "pos" < 4 | 0.072266 |
CREATE TABLE Customer_Policies (Policy_ID NUMBER, Customer_ID NUMBER, Policy_Type_Code CHAR, Start_Date DATE, End_Date DATE)
CREATE TABLE Customers (Customer_ID NUMBER, Customer_Details VARCHAR2)
CREATE TABLE Settlements (Settlement_ID NUMBER, Claim_ID NUMBER, Date_Claim_Made DATE, Date_Claim_Settled DATE, Amount_Claimed NUMBER, Amount_Settled NUMBER, Customer_Policy_ID NUMBER)
CREATE TABLE Payments (Payment_ID NUMBER, Settlement_ID NUMBER, Payment_Method_Code VARCHAR2, Date_Payment_Made DATE, Amount_Payment NUMBER)
CREATE TABLE Claims (Claim_ID NUMBER, Policy_ID NUMBER, Date_Claim_Made DATE, Date_Claim_Settled DATE, Amount_Claimed NUMBER, Amount_Settled NUMBER)
| Show the amount for all the payments processed with Visa distributing the payment date with a bar chart, I want to order in ascending by the Amount_Payment please. | SELECT Date_Payment_Made, Amount_Payment FROM Payments WHERE Payment_Method_Code = 'Visa' ORDER BY Amount_Payment | SELECT "Date_Payment_Made", "Amount_Payment" FROM "Payments" WHERE "Payment_Method_Code" = 'Visa' ORDER BY "Amount_Payment" | 0.120117 |
CREATE TABLE table_35854 ("Season" FLOAT, "Overall" CLOB, "Slalom" CLOB, "Giant Slalom" CLOB, "Super G" CLOB, "Combined" CLOB)
| Which Slalom has an overall of 25 in the 2009 season? | SELECT "Slalom" FROM table_35854 WHERE "Overall" = '25' AND "Season" = '2009' | SELECT "Slalom" FROM "table_35854" WHERE "Overall" = '25' AND "Season" = '2009' | 0.077148 |
CREATE TABLE table_2466 ("Week #" CLOB, "Theme" CLOB, "Song choice" CLOB, "Original artist" CLOB, "Order #" CLOB, "Result" CLOB)
| Which week is the theme First Solo | SELECT "Week #" FROM table_2466 WHERE "Theme" = 'First Solo' | SELECT "Week #" FROM "table_2466" WHERE "Theme" = 'First Solo' | 0.060547 |
CREATE TABLE table_29576 ("Name/Name of Act" CLOB, "Age ( s ) " CLOB, "Genre" CLOB, "Act" CLOB, "Hometown" CLOB, "Qtr. Final ( Week ) " FLOAT, "Semi Final ( Week ) " CLOB, "Position Reached" CLOB)
| How many semi-final weeks are there for acts from Pittsburgh, Pennsylvania? | SELECT COUNT("Semi Final (Week)") FROM table_29576 WHERE "Hometown" = 'Pittsburgh, Pennsylvania' | SELECT COUNT("Semi Final (Week)") FROM "table_29576" WHERE "Hometown" = 'Pittsburgh, Pennsylvania' | 0.095703 |
CREATE TABLE station (id NUMBER, name CLOB, lat NUMBER, long NUMBER, dock_count NUMBER, city CLOB, installation_date CLOB)
CREATE TABLE status (station_id NUMBER, bikes_available NUMBER, docks_available NUMBER, time CLOB)
CREATE TABLE trip (id NUMBER, duration NUMBER, start_date CLOB, start_station_name CLOB, start_station_id NUMBER, end_date CLOB, end_station_name CLOB, end_station_id NUMBER, bike_id NUMBER, subscription_type CLOB, zip_code NUMBER)
CREATE TABLE weather (date CLOB, max_temperature_f NUMBER, mean_temperature_f NUMBER, min_temperature_f NUMBER, max_dew_point_f NUMBER, mean_dew_point_f NUMBER, min_dew_point_f NUMBER, max_humidity NUMBER, mean_humidity NUMBER, min_humidity NUMBER, max_sea_level_pressure_inches NUMBER, mean_sea_level_pressure_inches NUMBER, min_sea_level_pressure_inches NUMBER, max_visibility_miles NUMBER, mean_visibility_miles NUMBER, min_visibility_miles NUMBER, max_wind_Speed_mph NUMBER, mean_wind_speed_mph NUMBER, max_gust_speed_mph NUMBER, precipitation_inches NUMBER, cloud_cover NUMBER, events CLOB, wind_dir_degrees NUMBER, zip_code NUMBER)
| What is the frequency of the dates (bin into year interval) that had the top 5 cloud cover rates? You can draw me a bar chart for this purpose. | SELECT date, COUNT(date) FROM weather | SELECT "date", COUNT("date") FROM "weather" | 0.041992 |
CREATE TABLE table_2026548_1 (order_in_office VARCHAR2, vice_president VARCHAR2)
| Name the order in office for spiro agnew | SELECT order_in_office FROM table_2026548_1 WHERE vice_president = "Spiro Agnew" | SELECT "order_in_office" FROM "table_2026548_1" WHERE "Spiro Agnew" = "vice_president" | 0.083984 |
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
| count the number of patients whose ethnicity is white and drug name is nifedipine cr? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.ethnicity = "WHITE" AND prescriptions.drug = "NIFEdipine CR" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "prescriptions" ON "NIFEdipine CR" = "prescriptions"."drug" AND "demographic"."hadm_id" = "prescriptions"."hadm_id" WHERE "WHITE" = "demographic"."ethnicity" | 0.225586 |
CREATE TABLE table_14630796_1 (class_aAA VARCHAR2, school_year VARCHAR2)
| Name the total number of class aaa for 2006-07 | SELECT COUNT(class_aAA) FROM table_14630796_1 WHERE school_year = "2006-07" | SELECT COUNT("class_aAA") FROM "table_14630796_1" WHERE "2006-07" = "school_year" | 0.079102 |
CREATE TABLE table_30050 ("Game" FLOAT, "Date" CLOB, "Team" CLOB, "Score" CLOB, "High points" CLOB, "High rebounds" CLOB, "High assists" CLOB, "Location Attendance" CLOB, "Record" CLOB)
| Name the record for oakland-alameda county coliseum arena 15,025 | SELECT "Record" FROM table_30050 WHERE "Location Attendance" = 'Oakland-Alameda County Coliseum Arena 15,025' | SELECT "Record" FROM "table_30050" WHERE "Location Attendance" = 'Oakland-Alameda County Coliseum Arena 15,025' | 0.108398 |
CREATE TABLE procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE transfers (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, eventtype CLOB, careunit CLOB, wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
CREATE TABLE d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
CREATE TABLE icustays (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, first_careunit CLOB, last_careunit CLOB, first_wardid NUMBER, last_wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE 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 d_labitems (row_id NUMBER, itemid NUMBER, label 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 diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
CREATE TABLE d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value 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)
| what are patient 61751's genders? | SELECT patients.gender FROM patients WHERE patients.subject_id = 61751 | SELECT "patients"."gender" FROM "patients" WHERE "patients"."subject_id" = 61751 | 0.078125 |
CREATE TABLE table_28182 ("Institution" CLOB, "Seniors" CLOB, "Juniors" CLOB, "Women" CLOB, "Status" CLOB, "Founded" FLOAT, "Affiliation ( Population ) " CLOB, "Color" CLOB, "Location" CLOB)
| What status of school is informatics international college? | SELECT "Status" FROM table_28182 WHERE "Institution" = 'Informatics International College' | SELECT "Status" FROM "table_28182" WHERE "Institution" = 'Informatics International College' | 0.089844 |
CREATE TABLE table_47264 ("Year" FLOAT, "Date" CLOB, "Winner" CLOB, "Result" CLOB, "Location" CLOB)
| what is the location when the year is before 1979 and the result is 19-17? | SELECT "Location" FROM table_47264 WHERE "Year" < '1979' AND "Result" = '19-17' | SELECT "Location" FROM "table_47264" WHERE "Result" = '19-17' AND "Year" < '1979' | 0.079102 |
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
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)
| how many patients were admitted before the year 2155 and their lab test name is myelocytes? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.admityear < "2155" AND lab.label = "Myelocytes" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "lab" ON "Myelocytes" = "lab"."label" AND "demographic"."hadm_id" = "lab"."hadm_id" WHERE "2155" > "demographic"."admityear" | 0.193359 |
CREATE TABLE table_42603 ("Week" FLOAT, "Date" CLOB, "Result" CLOB, "Record" CLOB, "Opponent" CLOB, "Points For" FLOAT, "Points Against" FLOAT, "First Downs" FLOAT, "Attendance" FLOAT)
| What is the average First Downs for december 4? | SELECT AVG("First Downs") FROM table_42603 WHERE "Date" = 'december 4' | SELECT AVG("First Downs") FROM "table_42603" WHERE "Date" = 'december 4' | 0.070313 |
CREATE TABLE table_27982 ("No. in series" FLOAT, "Title" CLOB, "Directed by" CLOB, "Written by" CLOB, "Original air date" CLOB, "Production code" CLOB, "U.S. viewers ( million ) " CLOB)
| Who directed episode number 18 in the series? | SELECT "Directed by" FROM table_27982 WHERE "No. in series" = '18' | SELECT "Directed by" FROM "table_27982" WHERE "No. in series" = '18' | 0.066406 |
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE 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)
| how many female patients were diagnosed with sebaceous cyst? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.gender = "F" AND diagnoses.short_title = "Sebaceous cyst" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "Sebaceous cyst" = "diagnoses"."short_title" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" WHERE "F" = "demographic"."gender" | 0.214844 |
CREATE TABLE table_name_47 (score VARCHAR2, time VARCHAR2)
| what is the score when the time is 2:22? | SELECT score FROM table_name_47 WHERE time = "2:22" | SELECT "score" FROM "table_name_47" WHERE "2:22" = "time" | 0.055664 |
CREATE TABLE table_60340 ("Place" CLOB, "Player" CLOB, "Country" CLOB, "Score" CLOB, "To par" CLOB)
| Craig Parry with a score of 68-68=136 is in what place? | SELECT "Place" FROM table_60340 WHERE "Score" = '68-68=136' AND "Player" = 'craig parry' | SELECT "Place" FROM "table_60340" WHERE "Player" = 'craig parry' AND "Score" = '68-68=136' | 0.087891 |
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
| what is the number of patients whose marital status is single and age is less than 27? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.marital_status = "SINGLE" AND demographic.age < "27" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "27" > "demographic"."age" AND "SINGLE" = "demographic"."marital_status" | 0.143555 |
CREATE TABLE ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment CLOB)
CREATE TABLE ReviewTaskStates (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE 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 ReviewTaskResultTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
CREATE TABLE PostTypes (Id NUMBER, Name CLOB)
CREATE TABLE PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId NUMBER)
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 SuggestedEdits (Id NUMBER, PostId NUMBER, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId NUMBER, Comment CLOB, Text CLOB, Title CLOB, Tags CLOB, RevisionGUID other)
CREATE TABLE Users (Id NUMBER, Reputation NUMBER, CreationDate TIME, DisplayName CLOB, LastAccessDate TIME, WebsiteUrl CLOB, Location CLOB, AboutMe CLOB, Views NUMBER, UpVotes NUMBER, DownVotes NUMBER, ProfileImageUrl CLOB, EmailHash CLOB, AccountId NUMBER)
CREATE TABLE Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
CREATE TABLE FlagTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount NUMBER)
CREATE TABLE 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 PostHistoryTypes (Id NUMBER, Name CLOB)
CREATE TABLE ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
CREATE TABLE PostHistory (Id NUMBER, PostHistoryTypeId NUMBER, PostId NUMBER, RevisionGUID other, CreationDate TIME, UserId NUMBER, UserDisplayName CLOB, Comment CLOB, Text CLOB, ContentLicense CLOB)
CREATE TABLE 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 Comments (Id NUMBER, PostId NUMBER, Score NUMBER, Text CLOB, CreationDate TIME, UserDisplayName CLOB, UserId NUMBER, ContentLicense CLOB)
CREATE TABLE SuggestedEditVotes (Id NUMBER, SuggestedEditId NUMBER, UserId NUMBER, VoteTypeId NUMBER, CreationDate TIME, TargetUserId NUMBER, TargetRepChange NUMBER)
CREATE TABLE CloseReasonTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId NUMBER)
CREATE TABLE PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
CREATE TABLE ReviewTaskTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PendingFlags (Id NUMBER, FlagTypeId NUMBER, PostId NUMBER, CreationDate TIME, CloseReasonTypeId NUMBER, CloseAsOffTopicReasonTypeId NUMBER, DuplicateOfQuestionId NUMBER, BelongsOnBaseHostAddress CLOB)
CREATE TABLE 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)
| top users per tag. | WITH user_tag AS (SELECT t.TagName, a.OwnerUserId AS "user_link", SUM(a.Score) / 10 AS Score, COUNT(a.Score) AS "count", ((SUM(a.Score) / 10) + COUNT(a.Score)) / 2 AS Total FROM Posts AS a JOIN Posts AS q ON a.ParentId = q.Id JOIN PostTags AS qt ON q.Id = qt.PostId JOIN Tags AS t ON t.Id = qt.TagId WHERE a.PostTypeId = 2 AND a.CommunityOwnedDate IS NULL AND NOT a.OwnerUserId IS NULL GROUP BY a.OwnerUserId, t.TagName), max_score AS (SELECT TagName, MAX(Total) AS max_score FROM user_tag GROUP BY TagName) SELECT u.* FROM user_tag AS u JOIN max_score AS m ON m.TagName = u.TagName AND m.max_score = u.Total | WITH "user_tag" AS (SELECT MAX(1) AS "_" FROM "Posts" "a" JOIN "Posts" "q" ON "a"."ParentId" = "q"."Id" JOIN "PostTags" "qt" ON "q"."Id" = "qt"."PostId" JOIN "Tags" "t" ON "qt"."TagId" = "t"."Id" WHERE "a"."CommunityOwnedDate" IS NULL AND "a"."PostTypeId" = 2 AND NOT "a"."OwnerUserId" IS NULL GROUP BY "a"."OwnerUserId", "t"."TagName"), "max_score" AS (SELECT "TagName", MAX("Total") AS "max_score" FROM "user_tag" GROUP BY "TagName") SELECT "u".* FROM "user_tag" "u" JOIN "max_score" "m" ON "m"."TagName" = "u"."TagName" AND "m"."max_score" = "u"."Total" | 0.542969 |
CREATE TABLE basketball_match (Team_ID NUMBER, School_ID NUMBER, Team_Name CLOB, ACC_Regular_Season CLOB, ACC_Percent CLOB, ACC_Home CLOB, ACC_Road CLOB, All_Games CLOB, All_Games_Percent NUMBER, All_Home CLOB, All_Road CLOB, All_Neutral CLOB)
CREATE TABLE university (School_ID NUMBER, School CLOB, Location CLOB, Founded FLOAT, Affiliation CLOB, Enrollment FLOAT, Nickname CLOB, Primary_conference CLOB)
| Bar chart x axis acc road y axis how many acc road, and list x-axis in asc order please. | SELECT ACC_Road, COUNT(ACC_Road) FROM basketball_match GROUP BY ACC_Road ORDER BY ACC_Road | SELECT "ACC_Road", COUNT("ACC_Road") FROM "basketball_match" GROUP BY "ACC_Road" ORDER BY "ACC_Road" | 0.097656 |
CREATE TABLE table_24515 ("Regional" CLOB, "Champions" CLOB, "Runners-up" CLOB, "Third place" CLOB, "Fourth place" CLOB)
| how many persons got the fourth position when the regional was shikoku? | SELECT COUNT("Fourth place") FROM table_24515 WHERE "Regional" = 'Shikoku' | SELECT COUNT("Fourth place") FROM "table_24515" WHERE "Regional" = 'Shikoku' | 0.074219 |
CREATE TABLE table_63557 ("Player" CLOB, "Country" CLOB, "Year ( s ) won" CLOB, "Total" FLOAT, "To par" CLOB, "Finish" CLOB)
| how many times is the player jim furyk? | SELECT COUNT("Total") FROM table_63557 WHERE "Player" = 'jim furyk' | SELECT COUNT("Total") FROM "table_63557" WHERE "Player" = 'jim furyk' | 0.067383 |
CREATE TABLE table_3159 ("No. in series" FLOAT, "No. in season" FLOAT, "Title" CLOB, "Directed by" CLOB, "Written by" CLOB, "Original air date" CLOB, "U.S. viewers ( millions ) " CLOB)
| What was the title of the episode having exactly 9.64 million US viewers? | SELECT "Title" FROM table_3159 WHERE "U.S. viewers (millions)" = '9.64' | SELECT "Title" FROM "table_3159" WHERE "U.S. viewers (millions)" = '9.64' | 0.071289 |
CREATE TABLE table_name_42 (date VARCHAR2, result VARCHAR2)
| Which Date has a Result of 0 0? | SELECT date FROM table_name_42 WHERE result = "0–0" | SELECT "date" FROM "table_name_42" WHERE "0–0" = "result" | 0.055664 |
CREATE TABLE table_2248784_4 (rank_asia NUMBER)
| What is the smallest Asian rank? | SELECT MIN(rank_asia) FROM table_2248784_4 | SELECT MIN("rank_asia") FROM "table_2248784_4" | 0.044922 |
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
| give the lab test name and duration of hospital stay for francis baseler. | SELECT demographic.days_stay, lab.label FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.name = "Francis Baseler" | SELECT "demographic"."days_stay", "lab"."label" FROM "demographic" JOIN "lab" ON "demographic"."hadm_id" = "lab"."hadm_id" WHERE "Francis Baseler" = "demographic"."name" | 0.165039 |
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)
| I want to see trend of the average of budget in billions by creation, order in ascending by the x axis. | SELECT Creation, AVG(Budget_in_Billions) FROM department ORDER BY Creation | SELECT "Creation", AVG("Budget_in_Billions") FROM "department" ORDER BY "Creation" | 0.080078 |
CREATE TABLE checking (custid NUMBER, balance NUMBER)
CREATE TABLE savings (custid NUMBER, balance NUMBER)
CREATE TABLE accounts (custid NUMBER, name CLOB)
| Find the name of accounts whose checking balance is below the average checking balance. | SELECT T1.name FROM accounts AS T1 JOIN checking AS T2 ON T1.custid = T2.custid WHERE T2.balance < (SELECT AVG(balance) FROM checking) | SELECT "T1"."name" FROM "accounts" "T1" JOIN "checking" "T2" ON "T1"."custid" = "T2"."custid" AND "T2"."balance" < (SELECT AVG("balance") FROM "checking") | 0.150391 |
CREATE TABLE jobs (JOB_ID VARCHAR2, JOB_TITLE VARCHAR2, MIN_SALARY NUMBER, MAX_SALARY 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 departments (DEPARTMENT_ID NUMBER, DEPARTMENT_NAME VARCHAR2, MANAGER_ID NUMBER, LOCATION_ID NUMBER)
CREATE TABLE job_history (EMPLOYEE_ID NUMBER, START_DATE DATE, END_DATE DATE, JOB_ID VARCHAR2, DEPARTMENT_ID NUMBER)
CREATE TABLE locations (LOCATION_ID NUMBER, STREET_ADDRESS VARCHAR2, POSTAL_CODE VARCHAR2, CITY VARCHAR2, STATE_PROVINCE VARCHAR2, COUNTRY_ID VARCHAR2)
| For those employees whose salary is in the range of 8000 and 12000 and commission is not null or department number does not equal to 40, for department_id, hire_date, visualize the trend, and could you order X in desc order? | SELECT HIRE_DATE, DEPARTMENT_ID FROM employees WHERE SALARY BETWEEN 8000 AND 12000 AND COMMISSION_PCT <> "null" OR DEPARTMENT_ID <> 40 ORDER BY HIRE_DATE DESC | SELECT "HIRE_DATE", "DEPARTMENT_ID" FROM "employees" WHERE ("COMMISSION_PCT" <> "null" OR "DEPARTMENT_ID" <> 40) AND ("DEPARTMENT_ID" <> 40 OR "SALARY" <= 12000) AND ("DEPARTMENT_ID" <> 40 OR "SALARY" >= 8000) ORDER BY "HIRE_DATE" DESC | 0.229492 |
CREATE TABLE table_name_14 (saturday_shani__saturn_ VARCHAR2, sunday_surya__the_sun_ VARCHAR2)
| What is the result on Saturday that's robibar on Sunday | SELECT saturday_shani__saturn_ FROM table_name_14 WHERE sunday_surya__the_sun_ = "রবিবার robibar" | SELECT "saturday_shani__saturn_" FROM "table_name_14" WHERE "sunday_surya__the_sun_" = "রবিবার robibar" | 0.100586 |
CREATE TABLE table_52392 ("Season" CLOB, "Competition" CLOB, "Round" CLOB, "Club" CLOB, "Score" CLOB)
| What scores did the RSC Anderlecht club have? | SELECT "Score" FROM table_52392 WHERE "Club" = 'rsc anderlecht' | SELECT "Score" FROM "table_52392" WHERE "Club" = 'rsc anderlecht' | 0.063477 |
CREATE TABLE table_62191 ("Tie no" CLOB, "Home team" CLOB, "Score" CLOB, "Away team" CLOB, "Date" CLOB)
| What is the home team when the Tie no is 1? | SELECT "Home team" FROM table_62191 WHERE "Tie no" = '1' | SELECT "Home team" FROM "table_62191" WHERE "Tie no" = '1' | 0.056641 |
CREATE TABLE Accounts (Account_ID NUMBER, Statement_ID NUMBER, Account_Details VARCHAR2)
CREATE TABLE Documents_with_Expenses (Document_ID NUMBER, Budget_Type_Code CHAR, Document_Details VARCHAR2)
CREATE TABLE Ref_Document_Types (Document_Type_Code CHAR, Document_Type_Name VARCHAR2, Document_Type_Description VARCHAR2)
CREATE TABLE Statements (Statement_ID NUMBER, Statement_Details VARCHAR2)
CREATE TABLE Projects (Project_ID NUMBER, Project_Details VARCHAR2)
CREATE TABLE Ref_Budget_Codes (Budget_Type_Code CHAR, Budget_Type_Description VARCHAR2)
CREATE TABLE Documents (Document_ID NUMBER, Document_Type_Code CHAR, Project_ID NUMBER, Document_Date DATETIME, Document_Name VARCHAR2, Document_Description VARCHAR2, Other_Details VARCHAR2)
| How many documents for each document type name? Visualize by a ar chart, and could you list in descending by the how many document type name? | SELECT Document_Type_Name, COUNT(Document_Type_Name) FROM Ref_Document_Types AS T1 JOIN Documents AS T2 ON T1.Document_Type_Code = T2.Document_Type_Code GROUP BY Document_Type_Name ORDER BY COUNT(Document_Type_Name) DESC | SELECT "Document_Type_Name", COUNT("Document_Type_Name") FROM "Ref_Document_Types" "T1" JOIN "Documents" "T2" ON "T1"."Document_Type_Code" = "T2"."Document_Type_Code" GROUP BY "Document_Type_Name" ORDER BY COUNT("Document_Type_Name") DESC | 0.232422 |
CREATE TABLE table_68753 ("Date" CLOB, "Visiting Team" CLOB, "Final Score" CLOB, "Host Team" CLOB, "Stadium" CLOB)
| What was the final score of the game at Texas Stadium? | SELECT "Final Score" FROM table_68753 WHERE "Stadium" = 'texas stadium' | SELECT "Final Score" FROM "table_68753" WHERE "Stadium" = 'texas stadium' | 0.071289 |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.