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CREATE TABLE SECTION (course_id VARCHAR2, semester VARCHAR2, YEAR VARCHAR2)
| Find courses that ran in Fall 2009 or in Spring 2010. | SELECT course_id FROM SECTION WHERE semester = 'Fall' AND YEAR = 2009 UNION SELECT course_id FROM SECTION WHERE semester = 'Spring' AND YEAR = 2010 | SELECT "course_id" FROM "SECTION" WHERE "YEAR" = 2009 AND "semester" = 'Fall' UNION SELECT "course_id" FROM "SECTION" WHERE "YEAR" = 2010 AND "semester" = 'Spring' | 0.15918 |
CREATE TABLE table_35842 ("Name" CLOB, "Date" CLOB, "Goals" FLOAT, "Assists" FLOAT, "Team" CLOB, "Venue" CLOB, "Opponent" CLOB, "Competition" CLOB, "Total Goals" FLOAT, "Total Assists" FLOAT)
| Who was the opponent at the competition held at Jeonju? | SELECT "Opponent" FROM table_35842 WHERE "Venue" = 'jeonju' | SELECT "Opponent" FROM "table_35842" WHERE "Venue" = 'jeonju' | 0.05957 |
CREATE TABLE table_name_75 (gross_tonnage NUMBER, ship VARCHAR2, material VARCHAR2, date_commissioned VARCHAR2)
| Name the sum of gross tonnage for wood on date more tahn 1846 for comissioned and ship of esk | SELECT SUM(gross_tonnage) FROM table_name_75 WHERE material = "wood" AND date_commissioned > 1846 AND ship = "esk" | SELECT SUM("gross_tonnage") FROM "table_name_75" WHERE "date_commissioned" > 1846 AND "esk" = "ship" AND "material" = "wood" | 0.121094 |
CREATE TABLE table_name_29 (visitor VARCHAR2, home VARCHAR2)
| Who is the visitor team of the game where Buffalo was the home team? | SELECT visitor FROM table_name_29 WHERE home = "buffalo" | SELECT "visitor" FROM "table_name_29" WHERE "buffalo" = "home" | 0.060547 |
CREATE TABLE table_name_65 (time_retired VARCHAR2, grid VARCHAR2, driver VARCHAR2)
| What time/retired has a Grid larger than 3, and a Driver of kimi r ikk nen? | SELECT time_retired FROM table_name_65 WHERE grid > 3 AND driver = "kimi räikkönen" | SELECT "time_retired" FROM "table_name_65" WHERE "driver" = "kimi räikkönen" AND "grid" > 3 | 0.088867 |
CREATE TABLE table_37012 ("Year" FLOAT, "Location" CLOB, "Gold" CLOB, "Silver" CLOB, "Bronze" CLOB)
| What is listed as the highest Year that's also got a Bronze of Wataru Haraguchi? | SELECT MAX("Year") FROM table_37012 WHERE "Bronze" = 'wataru haraguchi' | SELECT MAX("Year") FROM "table_37012" WHERE "Bronze" = 'wataru haraguchi' | 0.071289 |
CREATE TABLE microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name 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 prescriptions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, startdate TIME, enddate TIME, drug CLOB, dose_val_rx CLOB, dose_unit_rx CLOB, route CLOB)
CREATE TABLE procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE 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 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 d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
CREATE TABLE d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE admissions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, admittime TIME, dischtime TIME, admission_type CLOB, admission_location CLOB, discharge_location CLOB, insurance CLOB, language CLOB, marital_status CLOB, ethnicity CLOB, age NUMBER)
CREATE TABLE transfers (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, eventtype CLOB, careunit CLOB, wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
CREATE TABLE diagnoses_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 inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
| what was the dose of ambisome that was prescribed since 02/2103 for the last time to patient 5561? | SELECT prescriptions.dose_val_rx FROM prescriptions WHERE prescriptions.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 5561) AND prescriptions.drug = 'ambisome' AND STRFTIME('%y-%m', prescriptions.startdate) >= '2103-02' ORDER BY prescriptions.startdate DESC LIMIT 1 | WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 5561 GROUP BY "hadm_id") SELECT "prescriptions"."dose_val_rx" FROM "prescriptions" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "prescriptions"."hadm_id" WHERE "prescriptions"."drug" = 'ambisome' AND NOT "_u_0"."" IS NULL AND STRFTIME('%y-%m', "prescriptions"."startdate") >= '2103-02' ORDER BY "prescriptions"."startdate" DESC FETCH FIRST 1 ROWS ONLY | 0.432617 |
CREATE TABLE table_77841 ("Home team" CLOB, "Home team score" CLOB, "Away team" CLOB, "Away team score" CLOB, "Venue" CLOB, "Crowd" FLOAT, "Date" CLOB)
| What did the home team score when the away team scored 12.11 (83)? | SELECT "Home team score" FROM table_77841 WHERE "Away team score" = '12.11 (83)' | SELECT "Home team score" FROM "table_77841" WHERE "Away team score" = '12.11 (83)' | 0.080078 |
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
| what is maximum age of patients whose gender is m and discharge location is snf? | SELECT MAX(demographic.age) FROM demographic WHERE demographic.gender = "M" AND demographic.discharge_location = "SNF" | SELECT MAX("demographic"."age") FROM "demographic" WHERE "M" = "demographic"."gender" AND "SNF" = "demographic"."discharge_location" | 0.128906 |
CREATE TABLE table_name_85 (drawn NUMBER, points VARCHAR2, games VARCHAR2)
| Name the sum of drawn for points less than 6 and games more than 8 | SELECT SUM(drawn) FROM table_name_85 WHERE points < 6 AND games > 8 | SELECT SUM("drawn") FROM "table_name_85" WHERE "games" > 8 AND "points" < 6 | 0.073242 |
CREATE TABLE table_62073 ("Tournament" CLOB, "2000" CLOB, "2001" CLOB, "2002" CLOB, "2003" CLOB, "2004" CLOB, "2005" CLOB, "2006" CLOB, "2007" CLOB, "2008" CLOB, "2009" CLOB, "2010" CLOB, "2011" CLOB)
| What is the 2002 result when 2006 is A and 2010 is Q1? | SELECT "2002" FROM table_62073 WHERE "2006" = 'a' AND "2010" = 'q1' | SELECT "2002" FROM "table_62073" WHERE "2006" = 'a' AND "2010" = 'q1' | 0.067383 |
CREATE TABLE table_name_86 (pick__number NUMBER, name VARCHAR2, round VARCHAR2)
| Which Pick # is the highest one that has a Name of lawrence sidbury, and a Round smaller than 4? | SELECT MAX(pick__number) FROM table_name_86 WHERE name = "lawrence sidbury" AND round < 4 | SELECT MAX("pick__number") FROM "table_name_86" WHERE "lawrence sidbury" = "name" AND "round" < 4 | 0.094727 |
CREATE TABLE table_name_52 (home_team VARCHAR2, date VARCHAR2)
| WHAT IS THE HOME TEAM ON APRIL 25? | SELECT home_team FROM table_name_52 WHERE date = "april 25" | SELECT "home_team" FROM "table_name_52" WHERE "april 25" = "date" | 0.063477 |
CREATE TABLE table_43621 ("Developer ( s ) " CLOB, "Release date" CLOB, "Required OS" CLOB, "Genre" CLOB, "Type" CLOB)
| What operating system was needed for 2D games? | SELECT "Required OS" FROM table_43621 WHERE "Type" = '2d' | SELECT "Required OS" FROM "table_43621" WHERE "Type" = '2d' | 0.057617 |
CREATE TABLE table_204_936 (id NUMBER, "week" NUMBER, "opponent" CLOB, "result" CLOB, "game site" CLOB, "tv" CLOB, "time" CLOB, "attendance" NUMBER, "bye" CLOB)
| what team was lost to after the miami dolphins in week 6 ? | SELECT "opponent" FROM table_204_936 WHERE "result" = 'l' AND "week" > 6 ORDER BY "week" LIMIT 1 | SELECT "opponent" FROM "table_204_936" WHERE "result" = 'l' AND "week" > 6 ORDER BY "week" FETCH FIRST 1 ROWS ONLY | 0.111328 |
CREATE TABLE table_name_38 (performance VARCHAR2, usage VARCHAR2, class VARCHAR2)
| Which Performance has a Usage of hepa and a Class of h14? | SELECT performance FROM table_name_38 WHERE usage = "hepa" AND class = "h14" | SELECT "performance" FROM "table_name_38" WHERE "class" = "h14" AND "hepa" = "usage" | 0.082031 |
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 d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE 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_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
CREATE TABLE icustays (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, first_careunit CLOB, last_careunit CLOB, first_wardid NUMBER, last_wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
CREATE TABLE cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
CREATE TABLE prescriptions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, startdate TIME, enddate TIME, drug CLOB, dose_val_rx CLOB, dose_unit_rx CLOB, route CLOB)
CREATE TABLE outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
CREATE TABLE chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
| tell me the total amount of pigtail infusion that patient 7165 has taken on the first intensive care unit visit? | SELECT SUM(inputevents_cv.amount) FROM inputevents_cv WHERE inputevents_cv.icustay_id IN (SELECT icustays.icustay_id FROM icustays WHERE icustays.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 7165) AND NOT icustays.outtime IS NULL ORDER BY icustays.intime LIMIT 1) AND inputevents_cv.itemid IN (SELECT d_items.itemid FROM d_items WHERE d_items.label = 'pigtail infusion' AND d_items.linksto = 'inputevents_cv') | WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 7165 GROUP BY "hadm_id"), "_u_1" AS (SELECT "icustays"."icustay_id" FROM "icustays" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "icustays"."hadm_id" WHERE NOT "_u_0"."" IS NULL AND NOT "icustays"."outtime" IS NULL GROUP BY "icustay_id" ORDER BY "icustays"."intime" FETCH FIRST 1 ROWS ONLY), "_u_2" AS (SELECT "d_items"."itemid" FROM "d_items" WHERE "d_items"."label" = 'pigtail infusion' AND "d_items"."linksto" = 'inputevents_cv' GROUP BY "itemid") SELECT SUM("inputevents_cv"."amount") FROM "inputevents_cv" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "inputevents_cv"."icustay_id" LEFT JOIN "_u_2" "_u_2" ON "_u_2"."" = "inputevents_cv"."itemid" WHERE NOT "_u_1"."" IS NULL AND NOT "_u_2"."" IS NULL | 0.771484 |
CREATE TABLE table_14981555_3 (venue VARCHAR2, race VARCHAR2)
| How many venues had a race called the Australia Stakes? | SELECT COUNT(venue) FROM table_14981555_3 WHERE race = "Australia Stakes" | SELECT COUNT("venue") FROM "table_14981555_3" WHERE "Australia Stakes" = "race" | 0.077148 |
CREATE TABLE table_61966 ("Rank" CLOB, "Height" CLOB, "Name" CLOB, "Road number" CLOB, "Type" CLOB)
| What is the name of the dead end type ranked 22? | SELECT "Name" FROM table_61966 WHERE "Type" = 'dead end' AND "Rank" = '22' | SELECT "Name" FROM "table_61966" WHERE "Rank" = '22' AND "Type" = 'dead end' | 0.074219 |
CREATE TABLE table_22097588_9 (spent_per_voter___php__ VARCHAR2, amount_spent___php__ VARCHAR2)
| What was spent per voter when total amount spent was 210,280,000? | SELECT spent_per_voter___php__ FROM table_22097588_9 WHERE amount_spent___php__ = "210,280,000" | SELECT "spent_per_voter___php__" FROM "table_22097588_9" WHERE "210,280,000" = "amount_spent___php__" | 0.098633 |
CREATE TABLE table_name_70 (team VARCHAR2, year VARCHAR2)
| what is the team that played in 2006? | SELECT team FROM table_name_70 WHERE year = 2006 | SELECT "team" FROM "table_name_70" WHERE "year" = 2006 | 0.052734 |
CREATE TABLE city (city_code VARCHAR2, city_name VARCHAR2, state_code VARCHAR2, country_name VARCHAR2, time_zone_code VARCHAR2)
CREATE TABLE flight_fare (flight_id NUMBER, fare_id 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 dual_carrier (main_airline VARCHAR2, low_flight_number NUMBER, high_flight_number NUMBER, dual_airline VARCHAR2, service_name CLOB)
CREATE TABLE ground_service (city_code CLOB, airport_code CLOB, transport_type CLOB, ground_fare NUMBER)
CREATE TABLE flight (aircraft_code_sequence CLOB, airline_code VARCHAR2, airline_flight CLOB, arrival_time NUMBER, connections NUMBER, departure_time NUMBER, dual_carrier CLOB, flight_days CLOB, flight_id NUMBER, flight_number NUMBER, from_airport VARCHAR2, meal_code CLOB, stops NUMBER, time_elapsed NUMBER, to_airport VARCHAR2)
CREATE TABLE fare_basis (fare_basis_code CLOB, booking_class CLOB, class_type CLOB, premium CLOB, economy CLOB, discounted CLOB, night CLOB, season CLOB, basis_days CLOB)
CREATE TABLE class_of_service (booking_class VARCHAR2, rank NUMBER, class_description CLOB)
CREATE TABLE state (state_code CLOB, state_name CLOB, country_name CLOB)
CREATE TABLE compartment_class (compartment VARCHAR2, class_type 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 airline (airline_code VARCHAR2, airline_name CLOB, note 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 airport_service (city_code VARCHAR2, airport_code VARCHAR2, miles_distant NUMBER, direction VARCHAR2, minutes_distant NUMBER)
CREATE TABLE date_day (month_number NUMBER, day_number NUMBER, year NUMBER, day_name VARCHAR2)
CREATE TABLE equipment_sequence (aircraft_code_sequence VARCHAR2, aircraft_code VARCHAR2)
CREATE TABLE food_service (meal_code CLOB, meal_number NUMBER, compartment CLOB, meal_description VARCHAR2)
CREATE TABLE code_description (code VARCHAR2, description CLOB)
CREATE TABLE flight_leg (flight_id NUMBER, leg_number NUMBER, leg_flight NUMBER)
CREATE TABLE month (month_number NUMBER, month_name CLOB)
CREATE TABLE fare (fare_id NUMBER, from_airport VARCHAR2, to_airport VARCHAR2, fare_basis_code CLOB, fare_airline CLOB, restriction_code CLOB, one_direction_cost NUMBER, round_trip_cost NUMBER, round_trip_required VARCHAR2)
CREATE TABLE 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 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 time_interval (period CLOB, begin_time NUMBER, end_time NUMBER)
| does US fly from WASHINGTON to DALLAS | SELECT DISTINCT airline.airline_code FROM airline, airport_service AS AIRPORT_SERVICE_0, airport_service AS AIRPORT_SERVICE_1, city AS CITY_0, city AS CITY_1, flight WHERE ((flight.airline_code = 'US') AND CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'DALLAS' AND flight.to_airport = AIRPORT_SERVICE_1.airport_code) AND CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'WASHINGTON' AND flight.airline_code = airline.airline_code AND flight.from_airport = AIRPORT_SERVICE_0.airport_code | SELECT DISTINCT "airline"."airline_code" FROM "airline" JOIN "flight" ON "airline"."airline_code" = "flight"."airline_code" AND "flight"."airline_code" = 'US' JOIN "airport_service" "AIRPORT_SERVICE_0" 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_0" ON "AIRPORT_SERVICE_0"."city_code" = "CITY_0"."city_code" AND "CITY_0"."city_name" = 'WASHINGTON' JOIN "city" "CITY_1" ON "AIRPORT_SERVICE_1"."city_code" = "CITY_1"."city_code" AND "CITY_1"."city_name" = 'DALLAS' | 0.589844 |
CREATE TABLE table_20539826_1 (obama_percentage VARCHAR2, total VARCHAR2)
| What percentage of the votes did Obama get in the county where 3909 people voted in total? | SELECT obama_percentage FROM table_20539826_1 WHERE total = 3909 | SELECT "obama_percentage" FROM "table_20539826_1" WHERE "total" = 3909 | 0.068359 |
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
| what is days of hospital stay and death status of subject id 74032? | SELECT demographic.days_stay, demographic.expire_flag FROM demographic WHERE demographic.subject_id = "74032" | SELECT "demographic"."days_stay", "demographic"."expire_flag" FROM "demographic" WHERE "74032" = "demographic"."subject_id" | 0.120117 |
CREATE TABLE campuses (campus VARCHAR2, id VARCHAR2, county VARCHAR2)
CREATE TABLE degrees (degrees NUMBER, campus VARCHAR2, year VARCHAR2)
| For each Orange county campus, report the number of degrees granted after 2000. | SELECT T1.campus, SUM(T2.degrees) FROM campuses AS T1 JOIN degrees AS T2 ON T1.id = T2.campus WHERE T1.county = "Orange" AND T2.year >= 2000 GROUP BY T1.campus | SELECT "T1"."campus", SUM("T2"."degrees") FROM "campuses" "T1" JOIN "degrees" "T2" ON "T1"."id" = "T2"."campus" AND "T2"."year" >= 2000 WHERE "Orange" = "T1"."county" GROUP BY "T1"."campus" | 0.18457 |
CREATE TABLE PostTypes (Id NUMBER, Name CLOB)
CREATE TABLE PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
CREATE TABLE PostHistoryTypes (Id NUMBER, Name CLOB)
CREATE TABLE PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId NUMBER)
CREATE TABLE 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 VoteTypes (Id NUMBER, Name CLOB)
CREATE TABLE PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
CREATE TABLE ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
CREATE TABLE 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 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 Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount NUMBER)
CREATE TABLE ReviewTaskResultTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE SuggestedEditVotes (Id NUMBER, SuggestedEditId NUMBER, UserId NUMBER, VoteTypeId NUMBER, CreationDate TIME, TargetUserId NUMBER, TargetRepChange NUMBER)
CREATE TABLE ReviewTaskTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
CREATE TABLE FlagTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE CloseReasonTypes (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 Comments (Id NUMBER, PostId NUMBER, Score NUMBER, Text CLOB, CreationDate TIME, UserDisplayName CLOB, UserId NUMBER, ContentLicense CLOB)
CREATE TABLE ReviewTaskStates (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE 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 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 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 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 ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId NUMBER)
| questions tagged 'food-safety' from this year. | SELECT Title, q.Id, Score FROM Posts AS q INNER JOIN PostTags ON q.Id = PostTags.PostId INNER JOIN Tags ON PostTags.TagId = Tags.Id WHERE Tags.TagName = 'modal-verbs' AND q.PostTypeId = 1 ORDER BY q.Id | SELECT "Title", "q"."Id", "Score" FROM "Posts" "q" JOIN "PostTags" ON "PostTags"."PostId" = "q"."Id" JOIN "Tags" ON "PostTags"."TagId" = "Tags"."Id" AND "Tags"."TagName" = 'modal-verbs' WHERE "q"."PostTypeId" = 1 ORDER BY "q"."Id" | 0.224609 |
CREATE TABLE table_69154 ("Club" CLOB, "Played" CLOB, "Drawn" CLOB, "Lost" CLOB, "Points for" CLOB, "Points against" CLOB, "Tries for" CLOB, "Tries against" CLOB, "Try bonus" CLOB, "Losing bonus" CLOB, "Points" CLOB)
| What try bonus has a club of caerphilly rfc? | SELECT "Try bonus" FROM table_69154 WHERE "Club" = 'caerphilly rfc' | SELECT "Try bonus" FROM "table_69154" WHERE "Club" = 'caerphilly rfc' | 0.067383 |
CREATE TABLE table_32540 ("Rank" FLOAT, "Player" CLOB, "Years" CLOB, "Games" FLOAT, "PPG Avg." FLOAT, "Total Points" FLOAT)
| How many point totals are there that rank higher than 9 and have a PPG avg higher than 13.4? | SELECT COUNT("Total Points") FROM table_32540 WHERE "Rank" > '9' AND "PPG Avg." > '13.4' | SELECT COUNT("Total Points") FROM "table_32540" WHERE "PPG Avg." > '13.4' AND "Rank" > '9' | 0.087891 |
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)
| what is the number of patients born before 2104 who have base type drug prescription? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.dob_year < "2104" AND prescriptions.drug_type = "BASE" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "prescriptions" ON "BASE" = "prescriptions"."drug_type" AND "demographic"."hadm_id" = "prescriptions"."hadm_id" WHERE "2104" > "demographic"."dob_year" | 0.219727 |
CREATE TABLE table_name_25 (attendance NUMBER, week VARCHAR2)
| What was the Attendance on Week 9? | SELECT MAX(attendance) FROM table_name_25 WHERE week = 9 | SELECT MAX("attendance") FROM "table_name_25" WHERE "week" = 9 | 0.060547 |
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 prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
| give me the number of patients discharged to skilled nursing facility who were hospitalized for more than 20 days. | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.discharge_location = "SNF" AND demographic.days_stay > "20" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "20" < "demographic"."days_stay" AND "SNF" = "demographic"."discharge_location" | 0.150391 |
CREATE TABLE table_26644 ("District" CLOB, "Vacator" CLOB, "Reason for change" CLOB, "Successor" CLOB, "Date successor seated" CLOB)
| Who was the successor for vacant louisiana 5th | SELECT "Successor" FROM table_26644 WHERE "Vacator" = 'Vacant' AND "District" = 'Louisiana 5th' | SELECT "Successor" FROM "table_26644" WHERE "District" = 'Louisiana 5th' AND "Vacator" = 'Vacant' | 0.094727 |
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 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 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 TagSynonyms (Id NUMBER, SourceTagName CLOB, TargetTagName CLOB, CreationDate TIME, OwnerUserId NUMBER, AutoRenameCount NUMBER, LastAutoRename TIME, Score NUMBER, ApprovedByUserId NUMBER, ApprovalDate TIME)
CREATE TABLE PostHistoryTypes (Id NUMBER, Name CLOB)
CREATE TABLE ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment CLOB)
CREATE TABLE PostTags (PostId NUMBER, TagId NUMBER)
CREATE TABLE PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId NUMBER)
CREATE TABLE Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
CREATE TABLE Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
CREATE TABLE PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId NUMBER)
CREATE TABLE PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId 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 PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
CREATE TABLE PostHistory (Id NUMBER, PostHistoryTypeId NUMBER, PostId NUMBER, RevisionGUID other, CreationDate TIME, UserId NUMBER, UserDisplayName CLOB, Comment CLOB, Text CLOB, ContentLicense CLOB)
CREATE TABLE ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId NUMBER)
CREATE TABLE Posts (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE VoteTypes (Id NUMBER, Name CLOB)
CREATE TABLE ReviewTaskResultTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE CloseReasonTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
CREATE TABLE ReviewTaskTypes (Id NUMBER, Name CLOB, Description 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 PostTypes (Id NUMBER, Name 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 Comments (Id NUMBER, PostId NUMBER, Score NUMBER, Text CLOB, CreationDate TIME, UserDisplayName CLOB, UserId NUMBER, ContentLicense CLOB)
| Avg. view count per question score. | SELECT q.Score AS "score", AVG(CAST(q.ViewCount AS INT)) AS "avg._views" FROM Posts AS q WHERE q.PostTypeId = 1 AND q.ClosedDate IS NULL AND q.Score >= -5 AND q.Score <= 50 AND q.AnswerCount = 0 GROUP BY q.Score ORDER BY q.Score | SELECT "q"."Score" AS "score", AVG(CAST("q"."ViewCount" AS NUMBER)) AS "avg._views" FROM "Posts" "q" WHERE "q"."AnswerCount" = 0 AND "q"."ClosedDate" IS NULL AND "q"."PostTypeId" = 1 AND "q"."Score" <= 50 AND "q"."Score" >= -5 GROUP BY "q"."Score" ORDER BY "q"."Score" | 0.261719 |
CREATE TABLE table_15324 ("Version" CLOB, "Code name" CLOB, "Release date" CLOB, "API level" FLOAT, "Distribution" CLOB)
| with distribution of 20.6% what is the code name? | SELECT "Code name" FROM table_15324 WHERE "Distribution" = '20.6%' | SELECT "Code name" FROM "table_15324" WHERE "Distribution" = '20.6%' | 0.066406 |
CREATE TABLE table_203_777 (id NUMBER, "years" CLOB, "building" CLOB, "city" CLOB, "height ( ctbuh ) " CLOB, "floors" NUMBER)
| how many floors are there in the tallest building in canada ? | SELECT "floors" FROM table_203_777 WHERE "years" = present_ref | SELECT "floors" FROM "table_203_777" WHERE "present_ref" = "years" | 0.064453 |
CREATE TABLE table_36600 ("Date" CLOB, "Home Team" CLOB, "Score" CLOB, "Visiting Team" CLOB, "Stadium" CLOB)
| Which home team played on April 5, 2008? | SELECT "Home Team" FROM table_36600 WHERE "Date" = 'april 5, 2008' | SELECT "Home Team" FROM "table_36600" WHERE "Date" = 'april 5, 2008' | 0.066406 |
CREATE TABLE vitalperiodic (vitalperiodicid NUMBER, patientunitstayid NUMBER, temperature NUMBER, sao2 NUMBER, heartrate NUMBER, respiration NUMBER, systemicsystolic NUMBER, systemicdiastolic NUMBER, systemicmean NUMBER, observationtime TIME)
CREATE TABLE treatment (treatmentid NUMBER, patientunitstayid NUMBER, treatmentname CLOB, treatmenttime TIME)
CREATE TABLE medication (medicationid NUMBER, patientunitstayid NUMBER, drugname CLOB, dosage CLOB, routeadmin CLOB, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE intakeoutput (intakeoutputid NUMBER, patientunitstayid NUMBER, cellpath CLOB, celllabel CLOB, cellvaluenumeric NUMBER, intakeoutputtime TIME)
CREATE TABLE cost (costid NUMBER, uniquepid CLOB, patienthealthsystemstayid NUMBER, eventtype CLOB, eventid NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime TIME)
CREATE TABLE allergy (allergyid NUMBER, patientunitstayid NUMBER, drugname CLOB, allergyname CLOB, allergytime TIME)
CREATE TABLE microlab (microlabid NUMBER, patientunitstayid NUMBER, culturesite CLOB, organism CLOB, culturetakentime TIME)
CREATE TABLE patient (uniquepid CLOB, patienthealthsystemstayid NUMBER, patientunitstayid NUMBER, gender CLOB, age CLOB, ethnicity CLOB, hospitalid NUMBER, wardid NUMBER, admissionheight NUMBER, admissionweight NUMBER, dischargeweight NUMBER, hospitaladmittime TIME, hospitaladmitsource CLOB, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus CLOB)
CREATE TABLE diagnosis (diagnosisid NUMBER, patientunitstayid NUMBER, diagnosisname CLOB, diagnosistime TIME, icd9code CLOB)
| how much do patient 028-40638 have to pay for his hospital stay until 3 years ago? | SELECT SUM(cost.cost) FROM cost WHERE cost.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '028-40638') AND DATETIME(cost.chargetime) <= DATETIME(CURRENT_TIME(), '-3 year') | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '028-40638' GROUP BY "patienthealthsystemstayid") SELECT SUM("cost"."cost") FROM "cost" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "cost"."patienthealthsystemstayid" WHERE DATETIME("cost"."chargetime") <= DATETIME(CURRENT_TIME(), '-3 year') AND NOT "_u_0"."" IS NULL | 0.359375 |
CREATE TABLE table_name_87 (replaced_by VARCHAR2, team VARCHAR2, outgoing_manager VARCHAR2)
| who is the replacement when the team is bournemouth and the outgoing manager is kevin bond? | SELECT replaced_by FROM table_name_87 WHERE team = "bournemouth" AND outgoing_manager = "kevin bond" | SELECT "replaced_by" FROM "table_name_87" WHERE "bournemouth" = "team" AND "kevin bond" = "outgoing_manager" | 0.105469 |
CREATE TABLE table_11585313_1 (number_of_goals VARCHAR2, date_of_debut VARCHAR2)
| What is the total number of goals on the debut date of 14-04-1907? | SELECT COUNT(number_of_goals) FROM table_11585313_1 WHERE date_of_debut = "14-04-1907" | SELECT COUNT("number_of_goals") FROM "table_11585313_1" WHERE "14-04-1907" = "date_of_debut" | 0.089844 |
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 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)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
| how many of the patients with item id 51269 belonged to white ethnic origin? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.ethnicity = "WHITE" AND lab.itemid = "51269" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "lab" ON "51269" = "lab"."itemid" AND "demographic"."hadm_id" = "lab"."hadm_id" WHERE "WHITE" = "demographic"."ethnicity" | 0.19043 |
CREATE TABLE table_28752 ("Episode number ( Production number ) " CLOB, "Title" CLOB, "Original air date" CLOB, "Total viewers on FX" CLOB, "Total viewers on FX+" CLOB, "Total viewers" CLOB, "Rank on channel" CLOB)
| Name the title for total viewers on fx+ being 483,000 | SELECT "Title" FROM table_28752 WHERE "Total viewers on FX" = '483,000' | SELECT "Title" FROM "table_28752" WHERE "Total viewers on FX" = '483,000' | 0.071289 |
CREATE TABLE table_name_91 (goal VARCHAR2, date VARCHAR2, score VARCHAR2)
| How many goals have a Date of december 4, 2010, and a Score of 1-0? | SELECT COUNT(goal) FROM table_name_91 WHERE date = "december 4, 2010" AND score = "1-0" | SELECT COUNT("goal") FROM "table_name_91" WHERE "1-0" = "score" AND "date" = "december 4, 2010" | 0.092773 |
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
| how many patients whose language is hait? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.language = "HAIT" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "HAIT" = "demographic"."language" | 0.105469 |
CREATE TABLE table_37372 ("Date" CLOB, "League position" CLOB, "Opponents" CLOB, "Venue" CLOB, "Result" CLOB, "Score F\\u2013A" CLOB, "Attendance" FLOAT)
| How many were in attendance for a result of D, at H venue, and Arsenal as an opponent? | SELECT "Attendance" FROM table_37372 WHERE "Result" = 'd' AND "Venue" = 'h' AND "Opponents" = 'arsenal' | SELECT "Attendance" FROM "table_37372" WHERE "Opponents" = 'arsenal' AND "Result" = 'd' AND "Venue" = 'h' | 0.102539 |
CREATE TABLE table_23427 ("Shirt No" FLOAT, "Nationality" CLOB, "Player" CLOB, "Birth Date" CLOB, "Height" FLOAT, "Position" CLOB)
| When was Alexey Kuleshov born? | SELECT "Birth Date" FROM table_23427 WHERE "Player" = 'Alexey Kuleshov' | SELECT "Birth Date" FROM "table_23427" WHERE "Player" = 'Alexey Kuleshov' | 0.071289 |
CREATE TABLE d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
CREATE TABLE chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
CREATE TABLE d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
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 icustays (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, first_careunit CLOB, last_careunit CLOB, first_wardid NUMBER, last_wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE transfers (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, eventtype CLOB, careunit CLOB, wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE 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 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 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 cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
CREATE TABLE microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
CREATE TABLE procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
| when did patient 73075 first have a laboratory test in 12/2104? | SELECT labevents.charttime FROM labevents WHERE labevents.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 73075) AND STRFTIME('%y-%m', labevents.charttime) = '2104-12' ORDER BY labevents.charttime LIMIT 1 | WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 73075 GROUP BY "hadm_id") SELECT "labevents"."charttime" FROM "labevents" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "labevents"."hadm_id" WHERE NOT "_u_0"."" IS NULL AND STRFTIME('%y-%m', "labevents"."charttime") = '2104-12' ORDER BY "labevents"."charttime" FETCH FIRST 1 ROWS ONLY | 0.367188 |
CREATE TABLE table_26176081_29 (gp NUMBER)
| What is the lowest gp? | SELECT MIN(gp) FROM table_26176081_29 | SELECT MIN("gp") FROM "table_26176081_29" | 0.040039 |
CREATE TABLE cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE admissions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, admittime TIME, dischtime TIME, admission_type CLOB, admission_location CLOB, discharge_location CLOB, insurance CLOB, language CLOB, marital_status CLOB, ethnicity CLOB, age NUMBER)
CREATE TABLE icustays (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, first_careunit CLOB, last_careunit CLOB, first_wardid NUMBER, last_wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
CREATE TABLE chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
CREATE TABLE procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
CREATE TABLE d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
CREATE TABLE 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 transfers (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, eventtype CLOB, careunit CLOB, wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE prescriptions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, startdate TIME, enddate TIME, drug CLOB, dose_val_rx CLOB, dose_unit_rx CLOB, route CLOB)
CREATE TABLE inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
| count the number of patients who until 1 year ago had an intake of heparin(10 units/cc). | SELECT COUNT(DISTINCT admissions.subject_id) FROM admissions WHERE admissions.hadm_id IN (SELECT icustays.hadm_id FROM icustays WHERE icustays.icustay_id IN (SELECT inputevents_cv.icustay_id FROM inputevents_cv WHERE inputevents_cv.itemid IN (SELECT d_items.itemid FROM d_items WHERE d_items.label = 'heparin(10 units/cc)' AND d_items.linksto = 'inputevents_cv') AND DATETIME(inputevents_cv.charttime) <= DATETIME(CURRENT_TIME(), '-1 year'))) | WITH "_u_0" AS (SELECT "d_items"."itemid" FROM "d_items" WHERE "d_items"."label" = 'heparin(10 units/cc)' AND "d_items"."linksto" = 'inputevents_cv' GROUP BY "itemid"), "_u_1" AS (SELECT "inputevents_cv"."icustay_id" FROM "inputevents_cv" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "inputevents_cv"."itemid" WHERE DATETIME("inputevents_cv"."charttime") <= DATETIME(CURRENT_TIME(), '-1 year') AND NOT "_u_0"."" IS NULL GROUP BY "icustay_id"), "_u_2" AS (SELECT "icustays"."hadm_id" FROM "icustays" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "icustays"."icustay_id" WHERE NOT "_u_1"."" IS NULL GROUP BY "hadm_id") SELECT COUNT(DISTINCT "admissions"."subject_id") FROM "admissions" LEFT JOIN "_u_2" "_u_2" ON "_u_2"."" = "admissions"."hadm_id" WHERE NOT "_u_2"."" IS NULL | 0.742188 |
CREATE TABLE table_43834 ("Date" CLOB, "Opponent" CLOB, "Site" CLOB, "Result" CLOB, "Attendance" CLOB)
| Who was the opponent when the attendance was 31,002? | SELECT "Opponent" FROM table_43834 WHERE "Attendance" = '31,002' | SELECT "Opponent" FROM "table_43834" WHERE "Attendance" = '31,002' | 0.064453 |
CREATE TABLE table_35269 ("Outcome" CLOB, "Date" CLOB, "Tournament" CLOB, "Surface" CLOB, "Partner" CLOB, "Opponents in the final" CLOB, "Score" CLOB)
| What is the Outcome of the jounieh tournament? | SELECT "Outcome" FROM table_35269 WHERE "Tournament" = 'jounieh' | SELECT "Outcome" FROM "table_35269" WHERE "Tournament" = 'jounieh' | 0.064453 |
CREATE TABLE table_72244 ("#" FLOAT, "Date" CLOB, "Visitor" CLOB, "Score" CLOB, "Home" CLOB, "Leading scorer" CLOB, "Attendance" CLOB, "Record" CLOB, "Streak" CLOB)
| what's the home team where streak is l3 and leading scorer is roy : 23 | SELECT "Home" FROM table_72244 WHERE "Streak" = 'L3' AND "Leading scorer" = 'Roy : 23' | SELECT "Home" FROM "table_72244" WHERE "Leading scorer" = 'Roy : 23' AND "Streak" = 'L3' | 0.085938 |
CREATE TABLE requirement (requirement_id NUMBER, requirement VARCHAR2, college VARCHAR2)
CREATE TABLE semester (semester_id NUMBER, semester VARCHAR2, year NUMBER)
CREATE TABLE program_requirement (program_id NUMBER, category VARCHAR2, min_credit NUMBER, additional_req VARCHAR2)
CREATE TABLE student (student_id NUMBER, lastname VARCHAR2, firstname VARCHAR2, program_id NUMBER, declare_major VARCHAR2, total_credit NUMBER, total_gpa FLOAT, entered_as VARCHAR2, admit_term NUMBER, predicted_graduation_semester NUMBER, degree VARCHAR2, minor VARCHAR2, internship VARCHAR2)
CREATE TABLE student_record (student_id NUMBER, course_id NUMBER, semester NUMBER, grade VARCHAR2, how VARCHAR2, transfer_source VARCHAR2, earn_credit VARCHAR2, repeat_term VARCHAR2, test_id VARCHAR2)
CREATE TABLE course_offering (offering_id NUMBER, course_id NUMBER, semester NUMBER, section_number NUMBER, start_time TIME, end_time TIME, monday VARCHAR2, tuesday VARCHAR2, wednesday VARCHAR2, thursday VARCHAR2, friday VARCHAR2, saturday VARCHAR2, sunday VARCHAR2, has_final_project VARCHAR2, has_final_exam VARCHAR2, textbook VARCHAR2, class_address VARCHAR2, allow_audit VARCHAR2)
CREATE TABLE area (course_id NUMBER, area VARCHAR2)
CREATE TABLE jobs (job_id NUMBER, job_title VARCHAR2, description VARCHAR2, requirement VARCHAR2, city VARCHAR2, state VARCHAR2, country VARCHAR2, zip NUMBER)
CREATE TABLE gsi (course_offering_id NUMBER, student_id NUMBER)
CREATE TABLE course_tags_count (course_id NUMBER, clear_grading NUMBER, pop_quiz NUMBER, group_projects NUMBER, inspirational NUMBER, long_lectures NUMBER, extra_credit NUMBER, few_tests NUMBER, good_feedback NUMBER, tough_tests NUMBER, heavy_papers NUMBER, cares_for_students NUMBER, heavy_assignments NUMBER, respected NUMBER, participation NUMBER, heavy_reading NUMBER, tough_grader NUMBER, hilarious NUMBER, would_take_again NUMBER, good_lecture NUMBER, no_skip NUMBER)
CREATE TABLE offering_instructor (offering_instructor_id NUMBER, offering_id NUMBER, instructor_id NUMBER)
CREATE TABLE instructor (instructor_id NUMBER, name VARCHAR2, uniqname VARCHAR2)
CREATE TABLE program (program_id NUMBER, name VARCHAR2, college VARCHAR2, introduction VARCHAR2)
CREATE TABLE ta (campus_job_id NUMBER, student_id NUMBER, location VARCHAR2)
CREATE TABLE program_course (program_id NUMBER, course_id NUMBER, workload NUMBER, category VARCHAR2)
CREATE TABLE comment_instructor (instructor_id NUMBER, student_id NUMBER, score NUMBER, comment_text VARCHAR2)
CREATE TABLE course (course_id NUMBER, name VARCHAR2, department VARCHAR2, number VARCHAR2, credits VARCHAR2, advisory_requirement VARCHAR2, enforced_requirement VARCHAR2, description VARCHAR2, num_semesters NUMBER, num_enrolled NUMBER, has_discussion VARCHAR2, has_lab VARCHAR2, has_projects VARCHAR2, has_exams VARCHAR2, num_reviews NUMBER, clarity_score NUMBER, easiness_score NUMBER, helpfulness_score NUMBER)
CREATE TABLE course_prerequisite (pre_course_id NUMBER, course_id NUMBER)
| What 's the number of credits for 540 ? | SELECT DISTINCT credits FROM course WHERE department = 'EECS' AND number = 540 | SELECT DISTINCT "credits" FROM "course" WHERE "department" = 'EECS' AND "number" = 540 | 0.083984 |
CREATE TABLE member (Member_ID NUMBER, Card_Number CLOB, Name CLOB, Hometown CLOB, Level NUMBER)
CREATE TABLE purchase (Member_ID NUMBER, Branch_ID CLOB, Year CLOB, Total_pounds FLOAT)
CREATE TABLE branch (Branch_ID NUMBER, Name CLOB, Open_year CLOB, Address_road CLOB, City CLOB, membership_amount CLOB)
CREATE TABLE membership_register_branch (Member_ID NUMBER, Branch_ID CLOB, Register_Year CLOB)
| Show all branch names with the number of members in each branch registered after 2015. Plot them as bar chart. | SELECT Name, COUNT(*) FROM membership_register_branch AS T1 JOIN branch AS T2 ON T1.Branch_ID = T2.Branch_ID WHERE T1.Register_Year > 2015 GROUP BY T2.Branch_ID | SELECT "Name", COUNT(*) FROM "membership_register_branch" "T1" JOIN "branch" "T2" ON "T1"."Branch_ID" = "T2"."Branch_ID" WHERE "T1"."Register_Year" > 2015 GROUP BY "T2"."Branch_ID" | 0.175781 |
CREATE TABLE table_65378 ("Nation" CLOB, "Birth date" CLOB, "Height ( m ) " CLOB, "Weight ( kg ) " CLOB, "World Rank" CLOB)
| what is the nation when the world rank is 2 and the birth date is 1976-12-20? | SELECT "Nation" FROM table_65378 WHERE "World Rank" = '2' AND "Birth date" = '1976-12-20' | SELECT "Nation" FROM "table_65378" WHERE "Birth date" = '1976-12-20' AND "World Rank" = '2' | 0.088867 |
CREATE TABLE table_name_59 (bronze NUMBER, total VARCHAR2, silver VARCHAR2)
| Which Bronze has a Total of 11, and a Silver smaller than 6? | SELECT MAX(bronze) FROM table_name_59 WHERE total = 11 AND silver < 6 | SELECT MAX("bronze") FROM "table_name_59" WHERE "silver" < 6 AND "total" = 11 | 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 class_of_service (booking_class VARCHAR2, rank NUMBER, class_description 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 airline (airline_code VARCHAR2, airline_name CLOB, note CLOB)
CREATE TABLE flight_stop (flight_id NUMBER, stop_number NUMBER, stop_days CLOB, stop_airport CLOB, arrival_time NUMBER, arrival_airline CLOB, arrival_flight_number NUMBER, departure_time NUMBER, departure_airline CLOB, departure_flight_number NUMBER, stop_time NUMBER)
CREATE TABLE flight_fare (flight_id NUMBER, fare_id NUMBER)
CREATE TABLE fare_basis (fare_basis_code CLOB, booking_class CLOB, class_type CLOB, premium CLOB, economy CLOB, discounted CLOB, night CLOB, season CLOB, basis_days CLOB)
CREATE TABLE equipment_sequence (aircraft_code_sequence VARCHAR2, aircraft_code VARCHAR2)
CREATE TABLE ground_service (city_code CLOB, airport_code CLOB, transport_type CLOB, ground_fare NUMBER)
CREATE TABLE state (state_code CLOB, state_name CLOB, country_name CLOB)
CREATE TABLE days (days_code VARCHAR2, day_name VARCHAR2)
CREATE TABLE dual_carrier (main_airline VARCHAR2, low_flight_number NUMBER, high_flight_number NUMBER, dual_airline VARCHAR2, service_name CLOB)
CREATE TABLE compartment_class (compartment VARCHAR2, class_type VARCHAR2)
CREATE TABLE airport_service (city_code VARCHAR2, airport_code VARCHAR2, miles_distant NUMBER, direction VARCHAR2, minutes_distant NUMBER)
CREATE TABLE time_interval (period CLOB, begin_time NUMBER, end_time NUMBER)
CREATE TABLE restriction (restriction_code CLOB, advance_purchase NUMBER, stopovers CLOB, saturday_stay_required CLOB, minimum_stay NUMBER, maximum_stay NUMBER, application CLOB, no_discounts CLOB)
CREATE TABLE 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 time_zone (time_zone_code CLOB, time_zone_name CLOB, hours_from_gmt NUMBER)
CREATE TABLE month (month_number NUMBER, month_name CLOB)
CREATE TABLE code_description (code VARCHAR2, description CLOB)
CREATE TABLE date_day (month_number NUMBER, day_number NUMBER, year NUMBER, day_name VARCHAR2)
CREATE TABLE food_service (meal_code CLOB, meal_number NUMBER, compartment CLOB, meal_description 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 city (city_code VARCHAR2, city_name VARCHAR2, state_code VARCHAR2, country_name VARCHAR2, time_zone_code VARCHAR2)
| show me all the LH flights between PHILADELPHIA and DENVER | 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 = 'DENVER' AND CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'PHILADELPHIA' AND flight.to_airport = AIRPORT_SERVICE_0.airport_code AND flight.from_airport = AIRPORT_SERVICE_1.airport_code) AND flight.airline_code = 'LH' | SELECT DISTINCT "flight"."flight_id" FROM "airport_service" "AIRPORT_SERVICE_0" JOIN "city" "CITY_0" ON "AIRPORT_SERVICE_0"."city_code" = "CITY_0"."city_code" AND "CITY_0"."city_name" = 'DENVER' JOIN "flight" ON "AIRPORT_SERVICE_0"."airport_code" = "flight"."to_airport" AND "flight"."airline_code" = 'LH' JOIN "airport_service" "AIRPORT_SERVICE_1" ON "AIRPORT_SERVICE_1"."airport_code" = "flight"."from_airport" JOIN "city" "CITY_1" ON "AIRPORT_SERVICE_1"."city_code" = "CITY_1"."city_code" AND "CITY_1"."city_name" = 'PHILADELPHIA' | 0.520508 |
CREATE TABLE Track (TrackId NUMBER, Name VARCHAR2, AlbumId NUMBER, MediaTypeId NUMBER, GenreId NUMBER, Composer VARCHAR2, Milliseconds NUMBER, Bytes NUMBER, UnitPrice NUMBER)
CREATE TABLE InvoiceLine (InvoiceLineId NUMBER, InvoiceId NUMBER, TrackId NUMBER, UnitPrice NUMBER, Quantity NUMBER)
CREATE TABLE Invoice (InvoiceId NUMBER, CustomerId NUMBER, InvoiceDate DATETIME, BillingAddress VARCHAR2, BillingCity VARCHAR2, BillingState VARCHAR2, BillingCountry VARCHAR2, BillingPostalCode VARCHAR2, Total NUMBER)
CREATE TABLE PlaylistTrack (PlaylistId NUMBER, TrackId NUMBER)
CREATE TABLE Playlist (PlaylistId NUMBER, Name VARCHAR2)
CREATE TABLE Employee (EmployeeId NUMBER, LastName VARCHAR2, FirstName VARCHAR2, Title VARCHAR2, ReportsTo NUMBER, BirthDate DATETIME, HireDate DATETIME, Address VARCHAR2, City VARCHAR2, State VARCHAR2, Country VARCHAR2, PostalCode VARCHAR2, Phone VARCHAR2, Fax VARCHAR2, Email VARCHAR2)
CREATE TABLE Genre (GenreId NUMBER, Name VARCHAR2)
CREATE TABLE Artist (ArtistId NUMBER, Name VARCHAR2)
CREATE TABLE Album (AlbumId NUMBER, Title VARCHAR2, ArtistId NUMBER)
CREATE TABLE MediaType (MediaTypeId NUMBER, Name VARCHAR2)
CREATE TABLE Customer (CustomerId NUMBER, FirstName VARCHAR2, LastName VARCHAR2, Company VARCHAR2, Address VARCHAR2, City VARCHAR2, State VARCHAR2, Country VARCHAR2, PostalCode VARCHAR2, Phone VARCHAR2, Fax VARCHAR2, Email VARCHAR2, SupportRepId NUMBER)
| Show the album names and ids for albums that contain tracks with unit price bigger than 1 Visualize by bar chart, and list by the x axis in ascending. | SELECT T1.Title, T1.AlbumId FROM Album AS T1 JOIN Track AS T2 ON T1.AlbumId = T2.AlbumId WHERE T2.UnitPrice > 1 ORDER BY T1.Title | SELECT "T1"."Title", "T1"."AlbumId" FROM "Album" "T1" JOIN "Track" "T2" ON "T1"."AlbumId" = "T2"."AlbumId" AND "T2"."UnitPrice" > 1 ORDER BY "T1"."Title" | 0.149414 |
CREATE TABLE Video_Games (GameID NUMBER, GName VARCHAR2, GType VARCHAR2)
CREATE TABLE Student (StuID NUMBER, LName VARCHAR2, Fname VARCHAR2, Age NUMBER, Sex VARCHAR2, Major NUMBER, Advisor NUMBER, city_code VARCHAR2)
CREATE TABLE Plays_Games (StuID NUMBER, GameID NUMBER, Hours_Played NUMBER)
CREATE TABLE SportsInfo (StuID NUMBER, SportName VARCHAR2, HoursPerWeek NUMBER, GamesPlayed NUMBER, OnScholarship VARCHAR2)
| Show the relationship between average age and minimum age in a scatter chart. | SELECT AVG(Age), MIN(Age) FROM Student GROUP BY Major | SELECT AVG("Age"), MIN("Age") FROM "Student" GROUP BY "Major" | 0.05957 |
CREATE TABLE job_history (EMPLOYEE_ID NUMBER, START_DATE DATE, END_DATE DATE, JOB_ID VARCHAR2, DEPARTMENT_ID NUMBER)
CREATE TABLE jobs (JOB_ID VARCHAR2, JOB_TITLE VARCHAR2, MIN_SALARY NUMBER, MAX_SALARY NUMBER)
CREATE TABLE departments (DEPARTMENT_ID NUMBER, DEPARTMENT_NAME VARCHAR2, MANAGER_ID NUMBER, LOCATION_ID NUMBER)
CREATE TABLE locations (LOCATION_ID NUMBER, STREET_ADDRESS VARCHAR2, POSTAL_CODE VARCHAR2, CITY VARCHAR2, STATE_PROVINCE VARCHAR2, COUNTRY_ID VARCHAR2)
CREATE TABLE countries (COUNTRY_ID VARCHAR2, COUNTRY_NAME VARCHAR2, REGION_ID NUMBER)
CREATE TABLE employees (EMPLOYEE_ID NUMBER, FIRST_NAME VARCHAR2, LAST_NAME VARCHAR2, EMAIL VARCHAR2, PHONE_NUMBER VARCHAR2, HIRE_DATE DATE, JOB_ID VARCHAR2, SALARY NUMBER, COMMISSION_PCT NUMBER, MANAGER_ID NUMBER, DEPARTMENT_ID NUMBER)
CREATE TABLE regions (REGION_ID NUMBER, REGION_NAME VARCHAR2)
| For those employees who was hired before 2002-06-21, visualize a line chart about the change of manager_id over hire_date , and could you display by the X from high to low? | SELECT HIRE_DATE, MANAGER_ID FROM employees WHERE HIRE_DATE < '2002-06-21' ORDER BY HIRE_DATE DESC | SELECT "HIRE_DATE", "MANAGER_ID" FROM "employees" WHERE "HIRE_DATE" < '2002-06-21' ORDER BY "HIRE_DATE" DESC | 0.105469 |
CREATE TABLE student_record (student_id NUMBER, course_id NUMBER, semester NUMBER, grade VARCHAR2, how VARCHAR2, transfer_source VARCHAR2, earn_credit VARCHAR2, repeat_term VARCHAR2, test_id VARCHAR2)
CREATE TABLE ta (campus_job_id NUMBER, student_id NUMBER, location VARCHAR2)
CREATE TABLE program_course (program_id NUMBER, course_id NUMBER, workload NUMBER, category VARCHAR2)
CREATE TABLE comment_instructor (instructor_id NUMBER, student_id NUMBER, score NUMBER, comment_text VARCHAR2)
CREATE TABLE requirement (requirement_id NUMBER, requirement VARCHAR2, college VARCHAR2)
CREATE TABLE semester (semester_id NUMBER, semester VARCHAR2, year NUMBER)
CREATE TABLE program_requirement (program_id NUMBER, category VARCHAR2, min_credit NUMBER, additional_req VARCHAR2)
CREATE TABLE jobs (job_id NUMBER, job_title VARCHAR2, description VARCHAR2, requirement VARCHAR2, city VARCHAR2, state VARCHAR2, country VARCHAR2, zip NUMBER)
CREATE TABLE instructor (instructor_id NUMBER, name VARCHAR2, uniqname VARCHAR2)
CREATE TABLE program (program_id NUMBER, name VARCHAR2, college VARCHAR2, introduction VARCHAR2)
CREATE TABLE course_prerequisite (pre_course_id NUMBER, course_id NUMBER)
CREATE TABLE course (course_id NUMBER, name VARCHAR2, department VARCHAR2, number VARCHAR2, credits VARCHAR2, advisory_requirement VARCHAR2, enforced_requirement VARCHAR2, description VARCHAR2, num_semesters NUMBER, num_enrolled NUMBER, has_discussion VARCHAR2, has_lab VARCHAR2, has_projects VARCHAR2, has_exams VARCHAR2, num_reviews NUMBER, clarity_score NUMBER, easiness_score NUMBER, helpfulness_score NUMBER)
CREATE TABLE area (course_id NUMBER, area VARCHAR2)
CREATE TABLE student (student_id NUMBER, lastname VARCHAR2, firstname VARCHAR2, program_id NUMBER, declare_major VARCHAR2, total_credit NUMBER, total_gpa FLOAT, entered_as VARCHAR2, admit_term NUMBER, predicted_graduation_semester NUMBER, degree VARCHAR2, minor VARCHAR2, internship VARCHAR2)
CREATE TABLE gsi (course_offering_id NUMBER, student_id NUMBER)
CREATE TABLE offering_instructor (offering_instructor_id NUMBER, offering_id NUMBER, instructor_id NUMBER)
CREATE TABLE course_offering (offering_id NUMBER, course_id NUMBER, semester NUMBER, section_number NUMBER, start_time TIME, end_time TIME, monday VARCHAR2, tuesday VARCHAR2, wednesday VARCHAR2, thursday VARCHAR2, friday VARCHAR2, saturday VARCHAR2, sunday VARCHAR2, has_final_project VARCHAR2, has_final_exam VARCHAR2, textbook VARCHAR2, class_address VARCHAR2, allow_audit VARCHAR2)
CREATE TABLE course_tags_count (course_id NUMBER, clear_grading NUMBER, pop_quiz NUMBER, group_projects NUMBER, inspirational NUMBER, long_lectures NUMBER, extra_credit NUMBER, few_tests NUMBER, good_feedback NUMBER, tough_tests NUMBER, heavy_papers NUMBER, cares_for_students NUMBER, heavy_assignments NUMBER, respected NUMBER, participation NUMBER, heavy_reading NUMBER, tough_grader NUMBER, hilarious NUMBER, would_take_again NUMBER, good_lecture NUMBER, no_skip NUMBER)
| Next semester , how many lecture sections of AOSS 584 are offered ? | SELECT COUNT(*) FROM course, course_offering, semester WHERE course.course_id = course_offering.course_id AND course.department = 'AOSS' AND course.number = 584 AND semester.semester = 'FA' AND semester.semester_id = course_offering.semester AND semester.year = 2016 | SELECT COUNT(*) FROM "course" JOIN "course_offering" ON "course"."course_id" = "course_offering"."course_id" JOIN "semester" ON "course_offering"."semester" = "semester"."semester_id" AND "semester"."semester" = 'FA' AND "semester"."year" = 2016 WHERE "course"."department" = 'AOSS' AND "course"."number" = 584 | 0.302734 |
CREATE TABLE table_42222 ("Former kingdom" CLOB, "Province" CLOB, "Hangul" CLOB, "Hanja" CLOB, "Capital" CLOB, "Modern equivalent" CLOB)
| What is the capital of the province with in Hangul? | SELECT "Capital" FROM table_42222 WHERE "Hangul" = '양주' | SELECT "Capital" FROM "table_42222" WHERE "Hangul" = '양주' | 0.055664 |
CREATE TABLE table_26329 ("Sector" CLOB, "Establishments" FLOAT, "Sales , receipts , or shipments ( $1 , 000 ) " FLOAT, "Annual payroll ( $1 , 000 ) " FLOAT, "Paid employees" FLOAT)
| If the annual payroll is 21173895, what is the establishments? | SELECT "Establishments" FROM table_26329 WHERE "Annual payroll ($1,000)" = '21173895' | SELECT "Establishments" FROM "table_26329" WHERE "Annual payroll ($1,000)" = '21173895' | 0.084961 |
CREATE TABLE table_44955 ("Place" CLOB, "Player" CLOB, "Country" CLOB, "Score" CLOB, "To par" CLOB)
| WHAT COUNTRY HAS A TO PAR OF +1, WITH WOODY AUSTIN? | SELECT "Country" FROM table_44955 WHERE "To par" = '+1' AND "Player" = 'woody austin' | SELECT "Country" FROM "table_44955" WHERE "Player" = 'woody austin' AND "To par" = '+1' | 0.084961 |
CREATE TABLE table_75584 ("County" CLOB, "Per capita income" CLOB, "Median household income" CLOB, "Population" FLOAT, "Number of households" FLOAT)
| What is the per capital income for Charles county? | SELECT "Per capita income" FROM table_75584 WHERE "County" = 'charles' | SELECT "Per capita income" FROM "table_75584" WHERE "County" = 'charles' | 0.070313 |
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
| how many patients with icd9 code 412 had a blood test? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE diagnoses.icd9_code = "412" AND lab.fluid = "Blood" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "412" = "diagnoses"."icd9_code" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" JOIN "lab" ON "Blood" = "lab"."fluid" AND "demographic"."hadm_id" = "lab"."hadm_id" | 0.25 |
CREATE TABLE table_36324 ("Rank" FLOAT, "Time" FLOAT, "Athlete" CLOB, "Nation" CLOB, "Date" CLOB, "Location" CLOB)
| Date of 10 july 2009 includes what athlete? | SELECT "Athlete" FROM table_36324 WHERE "Date" = '10 july 2009' | SELECT "Athlete" FROM "table_36324" WHERE "Date" = '10 july 2009' | 0.063477 |
CREATE TABLE table_name_73 (outcome VARCHAR2, tournament VARCHAR2)
| What was the outcome for the Rome 2, Italy tournament? | SELECT outcome FROM table_name_73 WHERE tournament = "rome 2, italy" | SELECT "outcome" FROM "table_name_73" WHERE "rome 2, italy" = "tournament" | 0.072266 |
CREATE TABLE outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
CREATE TABLE cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE 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 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 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 icustays (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, first_careunit CLOB, last_careunit CLOB, first_wardid NUMBER, last_wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
CREATE TABLE d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE admissions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, admittime TIME, dischtime TIME, admission_type CLOB, admission_location CLOB, discharge_location CLOB, insurance CLOB, language CLOB, marital_status CLOB, ethnicity CLOB, age NUMBER)
CREATE TABLE prescriptions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, startdate TIME, enddate TIME, drug CLOB, dose_val_rx CLOB, dose_unit_rx CLOB, route CLOB)
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
CREATE TABLE d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
CREATE TABLE transfers (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, eventtype CLOB, careunit CLOB, wardid NUMBER, intime TIME, outtime TIME)
| how many times during the last year patient 58649 had visited the intensive care unit? | SELECT COUNT(DISTINCT icustays.icustay_id) FROM icustays WHERE icustays.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 58649) AND DATETIME(icustays.intime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year') | WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 58649 GROUP BY "hadm_id") SELECT COUNT(DISTINCT "icustays"."icustay_id") FROM "icustays" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "icustays"."hadm_id" WHERE DATETIME("icustays"."intime", 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year') AND NOT "_u_0"."" IS NULL | 0.371094 |
CREATE TABLE ReviewTaskStates (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE SuggestedEdits (Id NUMBER, PostId NUMBER, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId NUMBER, Comment CLOB, Text CLOB, Title CLOB, Tags CLOB, RevisionGUID other)
CREATE TABLE 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)
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 ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment CLOB)
CREATE TABLE Users (Id NUMBER, Reputation NUMBER, CreationDate TIME, DisplayName CLOB, LastAccessDate TIME, WebsiteUrl CLOB, Location CLOB, AboutMe CLOB, Views NUMBER, UpVotes NUMBER, DownVotes NUMBER, ProfileImageUrl CLOB, EmailHash CLOB, AccountId NUMBER)
CREATE TABLE 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 PostHistoryTypes (Id NUMBER, Name CLOB)
CREATE TABLE PostTags (PostId NUMBER, TagId NUMBER)
CREATE TABLE ReviewTaskTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Comments (Id NUMBER, PostId NUMBER, Score NUMBER, Text CLOB, CreationDate TIME, UserDisplayName CLOB, UserId NUMBER, ContentLicense CLOB)
CREATE TABLE PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId NUMBER)
CREATE TABLE PostTypes (Id NUMBER, Name 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 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 ReviewTaskResultTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId 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 PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId NUMBER)
CREATE TABLE FlagTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE CloseReasonTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount NUMBER)
CREATE TABLE PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
CREATE TABLE 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)
| Popular tags with Google Maps APIs. | SELECT * FROM Posts AS a INNER JOIN Posts AS p ON a.ParentId = p.Id INNER JOIN Users AS u ON a.OwnerUserId = u.Id INNER JOIN PostTags AS pt ON p.Id = Pt.PostId INNER JOIN Tags AS t ON pt.TagId = t.Id WHERE t.TagName IN ('google-maps-api-3', 'google-maps', 'google-maps-api', 'google-places-api', 'google-static-maps', 'google-street-view', 'google-geocoding-api', 'google-direction', 'google-distancematrix-api', 'google-maps-android-api-2', 'google-maps-sdk-ios', 'google-maps-embed', 'google-maps-mobile', 'google-geolocation', 'google-maps-timezone', 'google-elevation-api', 'google-roads-api') AND a.CreationDate >= '2019-04-01' AND a.CreationDate <= '2019-07-01' | SELECT * FROM "Posts" "a" JOIN "Posts" "p" ON "a"."ParentId" = "p"."Id" JOIN "Users" "u" ON "a"."OwnerUserId" = "u"."Id" JOIN "PostTags" "pt" ON "Pt"."PostId" = "p"."Id" JOIN "Tags" "t" ON "pt"."TagId" = "t"."Id" AND "t"."TagName" IN ('google-maps-api-3', 'google-maps', 'google-maps-api', 'google-places-api', 'google-static-maps', 'google-street-view', 'google-geocoding-api', 'google-direction', 'google-distancematrix-api', 'google-maps-android-api-2', 'google-maps-sdk-ios', 'google-maps-embed', 'google-maps-mobile', 'google-geolocation', 'google-maps-timezone', 'google-elevation-api', 'google-roads-api') WHERE "a"."CreationDate" <= '2019-07-01' AND "a"."CreationDate" >= '2019-04-01' | 0.675781 |
CREATE TABLE table_36748 ("Athlete" CLOB, "Nationality" CLOB, "2.15" CLOB, "2.20" CLOB, "2.24" CLOB, "2.27" CLOB, "Result" FLOAT)
| Which Nationality has a 2.24 of xo, and a 2.20 of xo? | SELECT "Nationality" FROM table_36748 WHERE "2.24" = 'xo' AND "2.20" = 'xo' | SELECT "Nationality" FROM "table_36748" WHERE "2.20" = 'xo' AND "2.24" = 'xo' | 0.075195 |
CREATE TABLE intakeoutput (intakeoutputid NUMBER, patientunitstayid NUMBER, cellpath CLOB, celllabel CLOB, cellvaluenumeric NUMBER, intakeoutputtime TIME)
CREATE TABLE diagnosis (diagnosisid NUMBER, patientunitstayid NUMBER, diagnosisname CLOB, diagnosistime TIME, icd9code CLOB)
CREATE TABLE vitalperiodic (vitalperiodicid NUMBER, patientunitstayid NUMBER, temperature NUMBER, sao2 NUMBER, heartrate NUMBER, respiration NUMBER, systemicsystolic NUMBER, systemicdiastolic NUMBER, systemicmean NUMBER, observationtime TIME)
CREATE TABLE microlab (microlabid NUMBER, patientunitstayid NUMBER, culturesite CLOB, organism CLOB, culturetakentime TIME)
CREATE TABLE medication (medicationid NUMBER, patientunitstayid NUMBER, drugname CLOB, dosage CLOB, routeadmin CLOB, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE patient (uniquepid CLOB, patienthealthsystemstayid NUMBER, patientunitstayid NUMBER, gender CLOB, age CLOB, ethnicity CLOB, hospitalid NUMBER, wardid NUMBER, admissionheight NUMBER, admissionweight NUMBER, dischargeweight NUMBER, hospitaladmittime TIME, hospitaladmitsource CLOB, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus CLOB)
CREATE TABLE lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime TIME)
CREATE TABLE cost (costid NUMBER, uniquepid CLOB, patienthealthsystemstayid NUMBER, eventtype CLOB, eventid NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE allergy (allergyid NUMBER, patientunitstayid NUMBER, drugname CLOB, allergyname CLOB, allergytime TIME)
CREATE TABLE treatment (treatmentid NUMBER, patientunitstayid NUMBER, treatmentname CLOB, treatmenttime TIME)
| what were the four most frequently ordered tests for patients that had received antidepressant - vanafaxine (effexor) earlier within 2 months until 2104? | SELECT t3.labname FROM (SELECT t2.labname, 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 = 'antidepressant - vanafaxine (effexor)' AND STRFTIME('%y', treatment.treatmenttime) <= '2104') AS t1 JOIN (SELECT patient.uniquepid, lab.labname, lab.labresulttime FROM lab JOIN patient ON lab.patientunitstayid = patient.patientunitstayid WHERE STRFTIME('%y', lab.labresulttime) <= '2104') AS t2 ON t1.uniquepid = t2.uniquepid WHERE t1.treatmenttime < t2.labresulttime AND DATETIME(t2.labresulttime) BETWEEN DATETIME(t1.treatmenttime) AND DATETIME(t1.treatmenttime, '+2 month') GROUP BY t2.labname) AS t3 WHERE t3.c1 <= 4 | WITH "t2" AS (SELECT "patient"."uniquepid", "lab"."labname", "lab"."labresulttime" FROM "lab" JOIN "patient" ON "lab"."patientunitstayid" = "patient"."patientunitstayid" WHERE STRFTIME('%y', "lab"."labresulttime") <= '2104'), "t3" AS (SELECT "t2"."labname", 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"."labresulttime" > "treatment"."treatmenttime" AND DATETIME("t2"."labresulttime") <= DATETIME("treatment"."treatmenttime", '+2 month') AND DATETIME("t2"."labresulttime") >= DATETIME("treatment"."treatmenttime") WHERE "treatment"."treatmentname" = 'antidepressant - vanafaxine (effexor)' AND STRFTIME('%y', "treatment"."treatmenttime") <= '2104' GROUP BY "t2"."labname") SELECT "t3"."labname" FROM "t3" "t3" WHERE "t3"."c1" <= 4 | 0.880859 |
CREATE TABLE table_name_63 (title VARCHAR2, year VARCHAR2)
| What Title is listed for the Year of 1999? | SELECT title FROM table_name_63 WHERE year = 1999 | SELECT "title" FROM "table_name_63" WHERE "year" = 1999 | 0.053711 |
CREATE TABLE table_test_22 ("id" NUMBER, "ejection_fraction_ef" NUMBER, "pregnancy_or_lactation" BOOLEAN, "child_pugh_class" CLOB, "hbv" BOOLEAN, "systolic_blood_pressure_sbp" NUMBER, "active_infection" BOOLEAN, "leukocyte_count" NUMBER, "hiv_infection" BOOLEAN, "left_ventricular_dysfunction" BOOLEAN, "active_inflammatory_diseases" BOOLEAN, "hcv" BOOLEAN, "neutrophil_count" NUMBER, "renal_disease" BOOLEAN, "leucopenia" BOOLEAN, "hepatic_disease" BOOLEAN, "neutropenia" NUMBER, "estimated_glomerular_filtration_rate_egfr" NUMBER, "platelet_count" FLOAT, "thrombocytopenia" FLOAT, "diastolic_blood_pressure_dbp" NUMBER, "malignancy" BOOLEAN, "NOUSE" FLOAT)
| with hepatic failure ( child _ pugh class b or c ) | SELECT * FROM table_test_22 WHERE hepatic_disease = 1 OR child_pugh_class = 'b' OR child_pugh_class = 'c' | SELECT * FROM "table_test_22" WHERE "child_pugh_class" = 'b' OR "child_pugh_class" = 'c' OR "hepatic_disease" = 1 | 0.110352 |
CREATE TABLE table_name_4 (margin_of_victory VARCHAR2, runner_s__up VARCHAR2, tournament VARCHAR2)
| Which Margin of victory has a Runner(s)-up of betty burfeindt, and a Tournament of pompano beach classic? | SELECT margin_of_victory FROM table_name_4 WHERE runner_s__up = "betty burfeindt" AND tournament = "pompano beach classic" | SELECT "margin_of_victory" FROM "table_name_4" WHERE "betty burfeindt" = "runner_s__up" AND "pompano beach classic" = "tournament" | 0.126953 |
CREATE TABLE table_name_4 (record VARCHAR2, location_attendance VARCHAR2)
| What is Record, when Location Attendance is 'Izod Center 16,911'? | SELECT record FROM table_name_4 WHERE location_attendance = "izod center 16,911" | SELECT "record" FROM "table_name_4" WHERE "izod center 16,911" = "location_attendance" | 0.083984 |
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE 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 patients whose death status is 1 and drug name is levofloxacin? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.expire_flag = "1" AND prescriptions.drug = "Levofloxacin" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "prescriptions" ON "Levofloxacin" = "prescriptions"."drug" AND "demographic"."hadm_id" = "prescriptions"."hadm_id" WHERE "1" = "demographic"."expire_flag" | 0.222656 |
CREATE TABLE table_name_63 (city VARCHAR2, country VARCHAR2)
| What city is in the country of Mayotte? | SELECT city FROM table_name_63 WHERE country = "mayotte" | SELECT "city" FROM "table_name_63" WHERE "country" = "mayotte" | 0.060547 |
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)
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)
| what is the number of patients whose admission location is trsf within this facility and primary disease is angioedema? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.admission_location = "TRSF WITHIN THIS FACILITY" AND demographic.diagnosis = "ANGIOEDEMA" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "ANGIOEDEMA" = "demographic"."diagnosis" AND "TRSF WITHIN THIS FACILITY" = "demographic"."admission_location" | 0.179688 |
CREATE TABLE table_name_33 (opponent VARCHAR2, date VARCHAR2)
| Tell me who was the opponent on May 6 | SELECT opponent FROM table_name_33 WHERE date = "may 6" | SELECT "opponent" FROM "table_name_33" WHERE "date" = "may 6" | 0.05957 |
CREATE TABLE table_name_76 (engine VARCHAR2, year NUMBER)
| Name the engine for year less than 1977 | SELECT engine FROM table_name_76 WHERE year < 1977 | SELECT "engine" FROM "table_name_76" WHERE "year" < 1977 | 0.054688 |
CREATE TABLE table_name_13 (_number___county VARCHAR2, year_joined VARCHAR2, previous_conference VARCHAR2)
| Which #/ County has a Year Joined larger than 1926, and a Previous Conference of olympic? | SELECT _number___county FROM table_name_13 WHERE year_joined > 1926 AND previous_conference = "olympic" | SELECT "_number___county" FROM "table_name_13" WHERE "olympic" = "previous_conference" AND "year_joined" > 1926 | 0.108398 |
CREATE TABLE table_204_912 (id NUMBER, "rank" NUMBER, "athlete" CLOB, "country" CLOB, "time" NUMBER, "notes" CLOB)
| which athlete completed the race in the same time as jan bazen ? | SELECT "athlete" FROM table_204_912 WHERE "athlete" <> 'jan bazen' AND "time" = (SELECT "time" FROM table_204_912 WHERE "athlete" = 'jan bazen') | SELECT "athlete" FROM "table_204_912" WHERE "athlete" <> 'jan bazen' AND "time" = (SELECT "time" FROM "table_204_912" WHERE "athlete" = 'jan bazen') | 0.144531 |
CREATE TABLE table_name_36 (attendance VARCHAR2, date VARCHAR2)
| what is the attendance on october 19, 2003? | SELECT attendance FROM table_name_36 WHERE date = "october 19, 2003" | SELECT "attendance" FROM "table_name_36" WHERE "date" = "october 19, 2003" | 0.072266 |
CREATE TABLE table_name_59 (cuts_made NUMBER, events VARCHAR2, wins VARCHAR2)
| What is the average number of cuts made for events with under 4 entries and more than 0 wins? | SELECT AVG(cuts_made) FROM table_name_59 WHERE events < 4 AND wins > 0 | SELECT AVG("cuts_made") FROM "table_name_59" WHERE "events" < 4 AND "wins" > 0 | 0.076172 |
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE 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)
| how many patients whose marital status is single and lab test name is c4? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.marital_status = "SINGLE" AND lab.label = "C4" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "lab" ON "C4" = "lab"."label" AND "demographic"."hadm_id" = "lab"."hadm_id" WHERE "SINGLE" = "demographic"."marital_status" | 0.192383 |
CREATE TABLE table_2500 ("Season" FLOAT, "Series" CLOB, "Team" CLOB, "Races" FLOAT, "Wins" FLOAT, "Poles" FLOAT, "F/Laps" FLOAT, "Podiums" FLOAT, "Points" FLOAT, "Position" CLOB)
| What was the highest position for the person who performed in 16 races? | SELECT "Position" FROM table_2500 WHERE "Races" = '16' | SELECT "Position" FROM "table_2500" WHERE "Races" = '16' | 0.054688 |
CREATE TABLE table_name_10 (team__b_ VARCHAR2, s_no NUMBER)
| What is Team (B), when S No is greater than 17? | SELECT team__b_ FROM table_name_10 WHERE s_no > 17 | SELECT "team__b_" FROM "table_name_10" WHERE "s_no" > 17 | 0.054688 |
CREATE TABLE inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
CREATE TABLE diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE transfers (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, eventtype CLOB, careunit CLOB, wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE 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 admissions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, admittime TIME, dischtime TIME, admission_type CLOB, admission_location CLOB, discharge_location CLOB, insurance CLOB, language CLOB, marital_status CLOB, ethnicity CLOB, age NUMBER)
CREATE TABLE d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE d_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 d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
CREATE TABLE microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
CREATE TABLE outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
CREATE TABLE labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE icustays (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, first_careunit CLOB, last_careunit CLOB, first_wardid NUMBER, last_wardid NUMBER, intime TIME, outtime TIME)
| what are the new prescriptions of patient 30826 today compared to what they were yesterday? | SELECT prescriptions.drug FROM prescriptions WHERE prescriptions.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 30826) AND DATETIME(prescriptions.startdate, 'start of day') = DATETIME(CURRENT_TIME(), 'start of day', '-0 day') EXCEPT SELECT prescriptions.drug FROM prescriptions WHERE prescriptions.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 30826) AND DATETIME(prescriptions.startdate, 'start of day') = DATETIME(CURRENT_TIME(), 'start of day', '-1 day') | WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 30826 GROUP BY "hadm_id") SELECT "prescriptions"."drug" FROM "prescriptions" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "prescriptions"."hadm_id" WHERE DATETIME("prescriptions"."startdate", 'start of day') = DATETIME(CURRENT_TIME(), 'start of day', '-0 day') AND NOT "_u_0"."" IS NULL EXCEPT SELECT "prescriptions"."drug" FROM "prescriptions" LEFT JOIN "_u_0" "_u_1" ON "_u_1"."" = "prescriptions"."hadm_id" WHERE DATETIME("prescriptions"."startdate", 'start of day') = DATETIME(CURRENT_TIME(), 'start of day', '-1 day') AND NOT "_u_1"."" IS NULL | 0.625 |
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
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)
| count the number of patients whose ethnicity is hispanic or latino and procedure icd9 code is 3950? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.ethnicity = "HISPANIC OR LATINO" AND procedures.icd9_code = "3950" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "procedures" ON "3950" = "procedures"."icd9_code" AND "demographic"."hadm_id" = "procedures"."hadm_id" WHERE "HISPANIC OR LATINO" = "demographic"."ethnicity" | 0.225586 |
CREATE TABLE table_10343 ("No. in series" FLOAT, "No. in season" FLOAT, "Title" CLOB, "Director" CLOB, "Writer ( s ) " CLOB, "Original air date" CLOB, "Production code" CLOB)
| What is the title of Melsrose Place episode number 168? | SELECT "Title" FROM table_10343 WHERE "No. in series" = '168' | SELECT "Title" FROM "table_10343" WHERE "No. in series" = '168' | 0.061523 |
CREATE TABLE aircraft (aid NUMBER, name VARCHAR2, distance NUMBER)
CREATE TABLE flight (flno NUMBER, origin VARCHAR2, destination VARCHAR2, distance NUMBER, departure_date DATE, arrival_date DATE, price NUMBER, aid NUMBER)
CREATE TABLE employee (eid NUMBER, name VARCHAR2, salary NUMBER)
CREATE TABLE certificate (eid NUMBER, aid NUMBER)
| Return a histogram on what are the names and distances for all airplanes?, and display from low to high by the y axis. | SELECT name, distance FROM aircraft ORDER BY distance | SELECT "name", "distance" FROM "aircraft" ORDER BY "distance" | 0.05957 |
CREATE TABLE table_203_192 (id NUMBER, "year" NUMBER, "competition" CLOB, "venue" CLOB, "position" CLOB, "notes" CLOB)
| what were the number of competitions that had a position of first ? | SELECT COUNT("competition") FROM table_203_192 WHERE "position" = 1 | SELECT COUNT("competition") FROM "table_203_192" WHERE "position" = 1 | 0.067383 |
CREATE TABLE route (train_id NUMBER, station_id NUMBER)
CREATE TABLE station (id NUMBER, network_name CLOB, services CLOB, local_authority CLOB)
CREATE TABLE train (id NUMBER, train_number NUMBER, name CLOB, origin CLOB, destination CLOB, time CLOB, interval CLOB)
CREATE TABLE weekly_weather (station_id NUMBER, day_of_week CLOB, high_temperature NUMBER, low_temperature NUMBER, precipitation FLOAT, wind_speed_mph NUMBER)
| Give me a bar chart that the x-axis is the services and the Y is the count(services), and show total number from high to low order. | SELECT services, COUNT(services) FROM station GROUP BY services ORDER BY COUNT(services) DESC | SELECT "services", COUNT("services") FROM "station" GROUP BY "services" ORDER BY COUNT("services") DESC | 0.100586 |
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE 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)
| find the number of patients who stayed in hospital for more than 2 days and had ventriculopuncture through previously implanted catheter. | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.days_stay > "2" AND procedures.long_title = "Ventriculopuncture through previously implanted catheter" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "procedures" ON "Ventriculopuncture through previously implanted catheter" = "procedures"."long_title" AND "demographic"."hadm_id" = "procedures"."hadm_id" WHERE "2" < "demographic"."days_stay" | 0.260742 |
CREATE TABLE table_19370 ("Team" CLOB, "Average" CLOB, "Points" FLOAT, "Played" FLOAT, "1986-87" CLOB, "1987-88" CLOB, "1988-89" FLOAT)
| what is the maximum number of matches played by a team? | SELECT MAX("Played") FROM table_19370 | SELECT MAX("Played") FROM "table_19370" | 0.038086 |
CREATE TABLE table_26757_4 (slovene VARCHAR2, belarusian VARCHAR2)
| When (r ba) is the belarusian how many slovenes are there? | SELECT COUNT(slovene) FROM table_26757_4 WHERE belarusian = "рыба (rýba)" | SELECT COUNT("slovene") FROM "table_26757_4" WHERE "belarusian" = "рыба (rýba)" | 0.077148 |
CREATE TABLE code_description (code VARCHAR2, description CLOB)
CREATE TABLE flight (aircraft_code_sequence CLOB, airline_code VARCHAR2, airline_flight CLOB, arrival_time NUMBER, connections NUMBER, departure_time NUMBER, dual_carrier CLOB, flight_days CLOB, flight_id NUMBER, flight_number NUMBER, from_airport VARCHAR2, meal_code CLOB, stops NUMBER, time_elapsed NUMBER, to_airport VARCHAR2)
CREATE TABLE days (days_code VARCHAR2, day_name VARCHAR2)
CREATE TABLE date_day (month_number NUMBER, day_number NUMBER, year NUMBER, day_name VARCHAR2)
CREATE TABLE flight_fare (flight_id NUMBER, fare_id NUMBER)
CREATE TABLE flight_leg (flight_id NUMBER, leg_number NUMBER, leg_flight NUMBER)
CREATE TABLE compartment_class (compartment VARCHAR2, class_type 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 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 month (month_number NUMBER, month_name CLOB)
CREATE TABLE equipment_sequence (aircraft_code_sequence VARCHAR2, aircraft_code VARCHAR2)
CREATE TABLE city (city_code VARCHAR2, city_name VARCHAR2, state_code VARCHAR2, country_name VARCHAR2, time_zone_code VARCHAR2)
CREATE TABLE class_of_service (booking_class VARCHAR2, rank NUMBER, class_description CLOB)
CREATE TABLE aircraft (aircraft_code VARCHAR2, aircraft_description VARCHAR2, manufacturer VARCHAR2, basic_type VARCHAR2, engines NUMBER, propulsion VARCHAR2, wide_body VARCHAR2, wing_span NUMBER, length NUMBER, weight NUMBER, capacity NUMBER, pay_load NUMBER, cruising_speed NUMBER, range_miles NUMBER, pressurized VARCHAR2)
CREATE TABLE airport_service (city_code VARCHAR2, airport_code VARCHAR2, miles_distant NUMBER, direction VARCHAR2, minutes_distant NUMBER)
CREATE TABLE fare (fare_id NUMBER, from_airport VARCHAR2, to_airport VARCHAR2, fare_basis_code CLOB, fare_airline CLOB, restriction_code CLOB, one_direction_cost NUMBER, round_trip_cost NUMBER, round_trip_required VARCHAR2)
CREATE TABLE 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 time_zone (time_zone_code CLOB, time_zone_name CLOB, hours_from_gmt NUMBER)
CREATE TABLE ground_service (city_code CLOB, airport_code CLOB, transport_type CLOB, ground_fare NUMBER)
CREATE TABLE dual_carrier (main_airline VARCHAR2, low_flight_number NUMBER, high_flight_number NUMBER, dual_airline VARCHAR2, service_name CLOB)
CREATE TABLE food_service (meal_code CLOB, meal_number NUMBER, compartment CLOB, meal_description VARCHAR2)
CREATE TABLE airline (airline_code VARCHAR2, airline_name CLOB, note CLOB)
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 time_interval (period CLOB, begin_time NUMBER, end_time NUMBER)
| show me flights DENVER to WASHINGTON on thursday | 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, date_day, days, flight WHERE (CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'WASHINGTON' AND date_day.day_number = 24 AND date_day.month_number = 5 AND date_day.year = 1991 AND days.day_name = date_day.day_name AND flight.flight_days = days.days_code AND flight.to_airport = AIRPORT_SERVICE_1.airport_code) AND CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'DENVER' AND flight.from_airport = AIRPORT_SERVICE_0.airport_code | SELECT DISTINCT "flight"."flight_id" FROM "airport_service" "AIRPORT_SERVICE_0" JOIN "date_day" ON "date_day"."day_number" = 24 AND "date_day"."month_number" = 5 AND "date_day"."year" = 1991 JOIN "city" "CITY_0" ON "AIRPORT_SERVICE_0"."city_code" = "CITY_0"."city_code" AND "CITY_0"."city_name" = 'DENVER' JOIN "days" ON "date_day"."day_name" = "days"."day_name" JOIN "flight" ON "AIRPORT_SERVICE_0"."airport_code" = "flight"."from_airport" AND "days"."days_code" = "flight"."flight_days" 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" = 'WASHINGTON' | 0.695313 |
CREATE TABLE table_53299 ("D 50 O" CLOB, "D 49 \\u221a" CLOB, "D 48 \\u221a" CLOB, "D 47 \\u221a" CLOB, "D 46 \\u221a" CLOB, "D 45 \\u221a" CLOB, "D 44 \\u221a" CLOB, "D 43 \\u221a" CLOB, "D 42 \\u221a" CLOB, "D 41 \\u221a" CLOB)
| Name the D 41 when it has D 43 of r 18 | SELECT "D 41 \u221a" FROM table_53299 WHERE "D 43 \u221a" = 'r 18' | SELECT "D 41 \u221a" FROM "table_53299" WHERE "D 43 \u221a" = 'r 18' | 0.066406 |
CREATE TABLE table_71085 ("Parties and voter communities" CLOB, "% 2006" FLOAT, "Seats 2006" FLOAT, "% 2001" FLOAT, "Seats 2001" FLOAT)
| what is the total number of seats 2006 that has parties and voter turnout in % and whose %2006 is greater than 51.5? | SELECT SUM("Seats 2006") FROM table_71085 WHERE "Parties and voter communities" = 'voter turnout in %' AND "% 2006" > '51.5' | SELECT SUM("Seats 2006") FROM "table_71085" WHERE "% 2006" > '51.5' AND "Parties and voter communities" = 'voter turnout in %' | 0.123047 |
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 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 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, I want to sort Y in descending order. | SELECT date, COUNT(date) FROM weather ORDER BY COUNT(date) DESC | SELECT "date", COUNT("date") FROM "weather" ORDER BY COUNT("date") DESC | 0.069336 |
Subsets and Splits