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CREATE TABLE locations (LOCATION_ID DECIMAL, STREET_ADDRESS VARCHAR, POSTAL_CODE VARCHAR, CITY VARCHAR, STATE_PROVINCE VARCHAR, COUNTRY_ID VARCHAR)
CREATE TABLE employees (EMPLOYEE_ID DECIMAL, FIRST_NAME VARCHAR, LAST_NAME VARCHAR, EMAIL VARCHAR, PHONE_NUMBER VARCHAR, HIRE_DATE DATE, JOB_ID VARCHAR, SALARY DECIMAL, COMMISSION_PCT DECIMAL, MANAGER_ID DECIMAL, DEPARTMENT_ID DECIMAL)
CREATE TABLE job_history (EMPLOYEE_ID DECIMAL, START_DATE DATE, END_DATE DATE, JOB_ID VARCHAR, DEPARTMENT_ID DECIMAL)
CREATE TABLE jobs (JOB_ID VARCHAR, JOB_TITLE VARCHAR, MIN_SALARY DECIMAL, MAX_SALARY DECIMAL)
CREATE TABLE departments (DEPARTMENT_ID DECIMAL, DEPARTMENT_NAME VARCHAR, MANAGER_ID DECIMAL, LOCATION_ID DECIMAL)
CREATE TABLE countries (COUNTRY_ID VARCHAR, COUNTRY_NAME VARCHAR, REGION_ID DECIMAL)
CREATE TABLE regions (REGION_ID DECIMAL, REGION_NAME VARCHAR)
| For those employees who was hired before 2002-06-21, show me the trend about department_id over hire_date with a line chart, rank from high to low by the X-axis. | SELECT HIRE_DATE, DEPARTMENT_ID FROM employees WHERE HIRE_DATE < '2002-06-21' ORDER BY HIRE_DATE DESC | SELECT "HIRE_DATE", "DEPARTMENT_ID" FROM "employees" WHERE "HIRE_DATE" < '2002-06-21' ORDER BY "HIRE_DATE" DESC NULLS LAST | 0.119141 |
CREATE TABLE table_name_6 (games_played VARCHAR, wins VARCHAR, position VARCHAR)
| What is the total number of games played of the team with 4 wins and a position less than 9? | SELECT COUNT(games_played) FROM table_name_6 WHERE wins = 4 AND position < 9 | SELECT COUNT("games_played") FROM "table_name_6" WHERE "position" < 9 AND "wins" = 4 | 0.082031 |
CREATE TABLE procedures_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE diagnoses_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE cost (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, event_type TEXT, event_id DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE labevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE d_labitems (row_id DECIMAL, itemid DECIMAL, label TEXT)
CREATE TABLE d_icd_procedures (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE icustays (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, first_careunit TEXT, last_careunit TEXT, first_wardid DECIMAL, last_wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE prescriptions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, startdate TIME, enddate TIME, drug TEXT, dose_val_rx TEXT, dose_unit_rx TEXT, route TEXT)
CREATE TABLE d_icd_diagnoses (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE d_items (row_id DECIMAL, itemid DECIMAL, label TEXT, linksto TEXT)
CREATE TABLE inputevents_cv (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, amount DECIMAL)
CREATE TABLE microbiologyevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, charttime TIME, spec_type_desc TEXT, org_name TEXT)
CREATE TABLE transfers (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, eventtype TEXT, careunit TEXT, wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE admissions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, admittime TIME, dischtime TIME, admission_type TEXT, admission_location TEXT, discharge_location TEXT, insurance TEXT, language TEXT, marital_status TEXT, ethnicity TEXT, age DECIMAL)
CREATE TABLE patients (row_id DECIMAL, subject_id DECIMAL, gender TEXT, dob TIME, dod TIME)
CREATE TABLE chartevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE outputevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, value DECIMAL)
| what is the maximum monthly number of patients who have had chro kidney dis stage ii since 2102? | SELECT MAX(t1.c1) FROM (SELECT COUNT(DISTINCT diagnoses_icd.hadm_id) AS c1 FROM diagnoses_icd WHERE diagnoses_icd.icd9_code = (SELECT d_icd_diagnoses.icd9_code FROM d_icd_diagnoses WHERE d_icd_diagnoses.short_title = 'chro kidney dis stage ii') AND STRFTIME('%y', diagnoses_icd.charttime) >= '2102' GROUP BY STRFTIME('%y-%m', diagnoses_icd.charttime)) AS t1 | WITH "t1" AS (SELECT COUNT(DISTINCT "diagnoses_icd"."hadm_id") AS "c1" FROM "diagnoses_icd" JOIN "d_icd_diagnoses" ON "d_icd_diagnoses"."icd9_code" = "diagnoses_icd"."icd9_code" AND "d_icd_diagnoses"."short_title" = 'chro kidney dis stage ii' WHERE STRFTIME('%y', "diagnoses_icd"."charttime") >= '2102' GROUP BY STRFTIME('%y-%m', "diagnoses_icd"."charttime")) SELECT MAX("t1"."c1") FROM "t1" AS "t1" | 0.389648 |
CREATE TABLE time_zone (time_zone_code TEXT, time_zone_name TEXT, hours_from_gmt INT)
CREATE TABLE food_service (meal_code TEXT, meal_number INT, compartment TEXT, meal_description VARCHAR)
CREATE TABLE date_day (month_number INT, day_number INT, year INT, day_name VARCHAR)
CREATE TABLE flight_stop (flight_id INT, stop_number INT, stop_days TEXT, stop_airport TEXT, arrival_time INT, arrival_airline TEXT, arrival_flight_number INT, departure_time INT, departure_airline TEXT, departure_flight_number INT, stop_time INT)
CREATE TABLE class_of_service (booking_class VARCHAR, rank INT, class_description TEXT)
CREATE TABLE days (days_code VARCHAR, day_name VARCHAR)
CREATE TABLE restriction (restriction_code TEXT, advance_purchase INT, stopovers TEXT, saturday_stay_required TEXT, minimum_stay INT, maximum_stay INT, application TEXT, no_discounts TEXT)
CREATE TABLE state (state_code TEXT, state_name TEXT, country_name TEXT)
CREATE TABLE month (month_number INT, month_name TEXT)
CREATE TABLE time_interval (period TEXT, begin_time INT, end_time INT)
CREATE TABLE fare_basis (fare_basis_code TEXT, booking_class TEXT, class_type TEXT, premium TEXT, economy TEXT, discounted TEXT, night TEXT, season TEXT, basis_days TEXT)
CREATE TABLE airline (airline_code VARCHAR, airline_name TEXT, note TEXT)
CREATE TABLE code_description (code VARCHAR, description TEXT)
CREATE TABLE equipment_sequence (aircraft_code_sequence VARCHAR, aircraft_code VARCHAR)
CREATE TABLE fare (fare_id INT, from_airport VARCHAR, to_airport VARCHAR, fare_basis_code TEXT, fare_airline TEXT, restriction_code TEXT, one_direction_cost INT, round_trip_cost INT, round_trip_required VARCHAR)
CREATE TABLE flight_leg (flight_id INT, leg_number INT, leg_flight INT)
CREATE TABLE flight (aircraft_code_sequence TEXT, airline_code VARCHAR, airline_flight TEXT, arrival_time INT, connections INT, departure_time INT, dual_carrier TEXT, flight_days TEXT, flight_id INT, flight_number INT, from_airport VARCHAR, meal_code TEXT, stops INT, time_elapsed INT, to_airport VARCHAR)
CREATE TABLE aircraft (aircraft_code VARCHAR, aircraft_description VARCHAR, manufacturer VARCHAR, basic_type VARCHAR, engines INT, propulsion VARCHAR, wide_body VARCHAR, wing_span INT, length INT, weight INT, capacity INT, pay_load INT, cruising_speed INT, range_miles INT, pressurized VARCHAR)
CREATE TABLE airport (airport_code VARCHAR, airport_name TEXT, airport_location TEXT, state_code VARCHAR, country_name VARCHAR, time_zone_code VARCHAR, minimum_connect_time INT)
CREATE TABLE compartment_class (compartment VARCHAR, class_type VARCHAR)
CREATE TABLE ground_service (city_code TEXT, airport_code TEXT, transport_type TEXT, ground_fare INT)
CREATE TABLE city (city_code VARCHAR, city_name VARCHAR, state_code VARCHAR, country_name VARCHAR, time_zone_code VARCHAR)
CREATE TABLE airport_service (city_code VARCHAR, airport_code VARCHAR, miles_distant INT, direction VARCHAR, minutes_distant INT)
CREATE TABLE flight_fare (flight_id INT, fare_id INT)
CREATE TABLE dual_carrier (main_airline VARCHAR, low_flight_number INT, high_flight_number INT, dual_airline VARCHAR, service_name TEXT)
| i'd like information on flights between PHILADELPHIA and SAN FRANCISCO with a stop in DALLAS | SELECT DISTINCT flight.flight_id FROM airport_service AS AIRPORT_SERVICE_0, airport_service AS AIRPORT_SERVICE_1, airport_service AS AIRPORT_SERVICE_2, city AS CITY_0, city AS CITY_1, city AS CITY_2, flight, flight_stop WHERE (CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'SAN FRANCISCO' AND CITY_2.city_code = AIRPORT_SERVICE_2.city_code AND CITY_2.city_name = 'DALLAS' AND flight_stop.stop_airport = AIRPORT_SERVICE_2.airport_code AND flight.flight_id = flight_stop.flight_id AND flight.to_airport = AIRPORT_SERVICE_1.airport_code) AND CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'PHILADELPHIA' AND flight.from_airport = AIRPORT_SERVICE_0.airport_code | SELECT DISTINCT "flight"."flight_id" FROM "airport_service" AS "AIRPORT_SERVICE_0" JOIN "city" AS "CITY_0" ON "AIRPORT_SERVICE_0"."city_code" = "CITY_0"."city_code" AND "CITY_0"."city_name" = 'PHILADELPHIA' JOIN "flight" ON "AIRPORT_SERVICE_0"."airport_code" = "flight"."from_airport" JOIN "airport_service" AS "AIRPORT_SERVICE_1" ON "AIRPORT_SERVICE_1"."airport_code" = "flight"."to_airport" JOIN "flight_stop" ON "flight"."flight_id" = "flight_stop"."flight_id" JOIN "airport_service" AS "AIRPORT_SERVICE_2" ON "AIRPORT_SERVICE_2"."airport_code" = "flight_stop"."stop_airport" JOIN "city" AS "CITY_1" ON "AIRPORT_SERVICE_1"."city_code" = "CITY_1"."city_code" AND "CITY_1"."city_name" = 'SAN FRANCISCO' JOIN "city" AS "CITY_2" ON "AIRPORT_SERVICE_2"."city_code" = "CITY_2"."city_code" AND "CITY_2"."city_name" = 'DALLAS' | 0.801758 |
CREATE TABLE Customer_Policies (Policy_ID INT, Customer_ID INT, Policy_Type_Code CHAR, Start_Date DATE, End_Date DATE)
CREATE TABLE Settlements (Settlement_ID INT, Claim_ID INT, Date_Claim_Made DATE, Date_Claim_Settled DATE, Amount_Claimed INT, Amount_Settled INT, Customer_Policy_ID INT)
CREATE TABLE Payments (Payment_ID INT, Settlement_ID INT, Payment_Method_Code VARCHAR, Date_Payment_Made DATE, Amount_Payment INT)
CREATE TABLE Claims (Claim_ID INT, Policy_ID INT, Date_Claim_Made DATE, Date_Claim_Settled DATE, Amount_Claimed INT, Amount_Settled INT)
CREATE TABLE Customers (Customer_ID INT, Customer_Details VARCHAR)
| What about the proportion of the total amounts of payments by each method code? You can give me a pie chart. | SELECT Payment_Method_Code, SUM(Amount_Payment) FROM Payments GROUP BY Payment_Method_Code | SELECT "Payment_Method_Code", SUM("Amount_Payment") FROM "Payments" GROUP BY "Payment_Method_Code" | 0.095703 |
CREATE TABLE table_name_73 (time VARCHAR, jockey VARCHAR)
| What was the race time of the horse with jockey Ramon Dominguez? | SELECT time FROM table_name_73 WHERE jockey = "ramon dominguez" | SELECT "time" FROM "table_name_73" WHERE "jockey" = "ramon dominguez" | 0.067383 |
CREATE TABLE table_name_5 (Id VARCHAR)
| What was 2009, when 2001 was, 'not masters series'? | SELECT 2009 FROM table_name_5 WHERE 2001 = "not masters series" | SELECT 2009 FROM "table_name_5" WHERE "not masters series" = 2001 | 0.063477 |
CREATE TABLE table_203_528 (id DECIMAL, "year" DECIMAL, "political rights" DECIMAL, "civil liberties" DECIMAL, "status" TEXT, "president" TEXT)
| how many years was ali saibou president ? | SELECT COUNT("year") FROM table_203_528 WHERE "president" = 'ali saibou' | SELECT COUNT("year") FROM "table_203_528" WHERE "president" = 'ali saibou' | 0.072266 |
CREATE TABLE PostsWithDeleted (Id DECIMAL, PostTypeId DECIMAL, AcceptedAnswerId DECIMAL, ParentId DECIMAL, CreationDate TIME, DeletionDate TIME, Score DECIMAL, ViewCount DECIMAL, Body TEXT, OwnerUserId DECIMAL, OwnerDisplayName TEXT, LastEditorUserId DECIMAL, LastEditorDisplayName TEXT, LastEditDate TIME, LastActivityDate TIME, Title TEXT, Tags TEXT, AnswerCount DECIMAL, CommentCount DECIMAL, FavoriteCount DECIMAL, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense TEXT)
CREATE TABLE ReviewTaskResults (Id DECIMAL, ReviewTaskId DECIMAL, ReviewTaskResultTypeId DECIMAL, CreationDate TIME, RejectionReasonId DECIMAL, Comment TEXT)
CREATE TABLE SuggestedEditVotes (Id DECIMAL, SuggestedEditId DECIMAL, UserId DECIMAL, VoteTypeId DECIMAL, CreationDate TIME, TargetUserId DECIMAL, TargetRepChange DECIMAL)
CREATE TABLE Votes (Id DECIMAL, PostId DECIMAL, VoteTypeId DECIMAL, UserId DECIMAL, CreationDate TIME, BountyAmount DECIMAL)
CREATE TABLE CloseAsOffTopicReasonTypes (Id DECIMAL, IsUniversal BOOLEAN, InputTitle TEXT, MarkdownInputGuidance TEXT, MarkdownPostOwnerGuidance TEXT, MarkdownPrivilegedUserGuidance TEXT, MarkdownConcensusDescription TEXT, CreationDate TIME, CreationModeratorId DECIMAL, ApprovalDate TIME, ApprovalModeratorId DECIMAL, DeactivationDate TIME, DeactivationModeratorId DECIMAL)
CREATE TABLE SuggestedEdits (Id DECIMAL, PostId DECIMAL, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId DECIMAL, Comment TEXT, Text TEXT, Title TEXT, Tags TEXT, RevisionGUID other)
CREATE TABLE FlagTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE PostHistoryTypes (Id DECIMAL, Name TEXT)
CREATE TABLE PostFeedback (Id DECIMAL, PostId DECIMAL, IsAnonymous BOOLEAN, VoteTypeId DECIMAL, CreationDate TIME)
CREATE TABLE PostHistory (Id DECIMAL, PostHistoryTypeId DECIMAL, PostId DECIMAL, RevisionGUID other, CreationDate TIME, UserId DECIMAL, UserDisplayName TEXT, Comment TEXT, Text TEXT, ContentLicense TEXT)
CREATE TABLE Users (Id DECIMAL, Reputation DECIMAL, CreationDate TIME, DisplayName TEXT, LastAccessDate TIME, WebsiteUrl TEXT, Location TEXT, AboutMe TEXT, Views DECIMAL, UpVotes DECIMAL, DownVotes DECIMAL, ProfileImageUrl TEXT, EmailHash TEXT, AccountId DECIMAL)
CREATE TABLE PendingFlags (Id DECIMAL, FlagTypeId DECIMAL, PostId DECIMAL, CreationDate TIME, CloseReasonTypeId DECIMAL, CloseAsOffTopicReasonTypeId DECIMAL, DuplicateOfQuestionId DECIMAL, BelongsOnBaseHostAddress TEXT)
CREATE TABLE PostNoticeTypes (Id DECIMAL, ClassId DECIMAL, Name TEXT, Body TEXT, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId DECIMAL)
CREATE TABLE ReviewTaskResultTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE Badges (Id DECIMAL, UserId DECIMAL, Name TEXT, Date TIME, Class DECIMAL, TagBased BOOLEAN)
CREATE TABLE PostNotices (Id DECIMAL, PostId DECIMAL, PostNoticeTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body TEXT, OwnerUserId DECIMAL, DeletionUserId DECIMAL)
CREATE TABLE Posts (Id DECIMAL, PostTypeId DECIMAL, AcceptedAnswerId DECIMAL, ParentId DECIMAL, CreationDate TIME, DeletionDate TIME, Score DECIMAL, ViewCount DECIMAL, Body TEXT, OwnerUserId DECIMAL, OwnerDisplayName TEXT, LastEditorUserId DECIMAL, LastEditorDisplayName TEXT, LastEditDate TIME, LastActivityDate TIME, Title TEXT, Tags TEXT, AnswerCount DECIMAL, CommentCount DECIMAL, FavoriteCount DECIMAL, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense TEXT)
CREATE TABLE PostLinks (Id DECIMAL, CreationDate TIME, PostId DECIMAL, RelatedPostId DECIMAL, LinkTypeId DECIMAL)
CREATE TABLE Comments (Id DECIMAL, PostId DECIMAL, Score DECIMAL, Text TEXT, CreationDate TIME, UserDisplayName TEXT, UserId DECIMAL, ContentLicense TEXT)
CREATE TABLE ReviewTasks (Id DECIMAL, ReviewTaskTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId DECIMAL, PostId DECIMAL, SuggestedEditId DECIMAL, CompletedByReviewTaskId DECIMAL)
CREATE TABLE PostTypes (Id DECIMAL, Name TEXT)
CREATE TABLE CloseReasonTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE ReviewTaskTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE VoteTypes (Id DECIMAL, Name TEXT)
CREATE TABLE Tags (Id DECIMAL, TagName TEXT, Count DECIMAL, ExcerptPostId DECIMAL, WikiPostId DECIMAL)
CREATE TABLE PostTags (PostId DECIMAL, TagId DECIMAL)
CREATE TABLE ReviewTaskStates (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE ReviewRejectionReasons (Id DECIMAL, Name TEXT, Description TEXT, PostTypeId DECIMAL)
CREATE TABLE TagSynonyms (Id DECIMAL, SourceTagName TEXT, TargetTagName TEXT, CreationDate TIME, OwnerUserId DECIMAL, AutoRenameCount DECIMAL, LastAutoRename TIME, Score DECIMAL, ApprovedByUserId DECIMAL, ApprovalDate TIME)
| Up/user and down/user ratio between a certain range of users. | SELECT COUNT(0) AS NumUsers, SUM(UpVotes) / COUNT(0) AS AvrUpVotes, SUM(DownVotes) / COUNT(0) AS AvrDownVotes, (SUM(UpVotes) / COUNT(0)) / (SUM(DownVotes) / COUNT(0)) AS Ratio FROM Users WHERE Reputation >= '##LowBoundy:int?1000##' AND Reputation <= '##HighBoundry:int?10000##' | SELECT COUNT(0) AS "NumUsers", SUM("UpVotes") / NULLIF(COUNT(0), 0) AS "AvrUpVotes", SUM("DownVotes") / NULLIF(COUNT(0), 0) AS "AvrDownVotes", (SUM("UpVotes") / NULLIF(COUNT(0), 0)) / NULLIF((SUM("DownVotes") / NULLIF(COUNT(0), 0)), 0) AS "Ratio" FROM "Users" WHERE "Reputation" <= '##HighBoundry:int?10000##' AND "Reputation" >= '##LowBoundy:int?1000##' | 0.345703 |
CREATE TABLE table_38682 ("Rank" FLOAT, "Quarterback" TEXT, "Seasons" TEXT, "Teams" TEXT, "Team Wins" FLOAT, "Team Losses" FLOAT, "Career Wins" FLOAT, "Career Losses" FLOAT, "Ties" FLOAT)
| Which Seattle quarterback has more than 81 career wins and less than 70 team wins? | SELECT "Quarterback" FROM table_38682 WHERE "Career Wins" > '81' AND "Teams" = 'seattle' AND "Team Wins" < '70' | SELECT "Quarterback" FROM "table_38682" WHERE "Career Wins" > '81' AND "Team Wins" < '70' AND "Teams" = 'seattle' | 0.110352 |
CREATE TABLE table_21999 ("No. in series" FLOAT, "No. in season" FLOAT, "Title" TEXT, "Country" TEXT, "Project" TEXT, "Status at production" TEXT, "Original air date" TEXT)
| What is the status of the 'azerbaijan's amazing transformation' project at the time of production? | SELECT "Status at production" FROM table_21999 WHERE "Title" = 'Azerbaijan''s Amazing Transformation' | SELECT "Status at production" FROM "table_21999" WHERE "Title" = 'Azerbaijan\'s Amazing Transformation' | 0.100586 |
CREATE TABLE table_18752986_1 (first_season VARCHAR, home_ground_s_ VARCHAR)
| What is the dates where Hillcrest Reserve is the home grounds? | SELECT first_season FROM table_18752986_1 WHERE home_ground_s_ = "Hillcrest Reserve" | SELECT "first_season" FROM "table_18752986_1" WHERE "Hillcrest Reserve" = "home_ground_s_" | 0.087891 |
CREATE TABLE table_52196 ("Release format" TEXT, "Country" TEXT, "Label" TEXT, "Cat. No." TEXT, "Release date" FLOAT)
| What type of format was released after 1979? | SELECT "Release format" FROM table_52196 WHERE "Release date" > '1979' | SELECT "Release format" FROM "table_52196" WHERE "Release date" > '1979' | 0.070313 |
CREATE TABLE table_775 ("District" TEXT, "Incumbent" TEXT, "Party" TEXT, "Elected" FLOAT, "Result" TEXT, "Candidates" TEXT)
| What is the result for california 2? | SELECT "Result" FROM table_775 WHERE "District" = 'California 2' | SELECT "Result" FROM "table_775" WHERE "District" = 'California 2' | 0.064453 |
CREATE TABLE table_name_14 (long VARCHAR, ryds VARCHAR)
| What is the Long when the ryds is 18? | SELECT long FROM table_name_14 WHERE ryds = "18" | SELECT "long" FROM "table_name_14" WHERE "18" = "ryds" | 0.052734 |
CREATE TABLE table_2209 ("ILO code" TEXT, "Field" TEXT, "conclusion date" TEXT, "entry into force" TEXT, "closure for signature" TEXT, "Parties ( April 2011 ) " FLOAT, "Denunciations ( September 2011 ) " FLOAT, "revising convention ( s ) " TEXT, "text and ratifications" TEXT)
| What was the revising convention of the field 'trimmers and stokers'? | SELECT "revising convention(s)" FROM table_2209 WHERE "Field" = 'trimmers and stokers' | SELECT "revising convention(s)" FROM "table_2209" WHERE "Field" = 'trimmers and stokers' | 0.085938 |
CREATE TABLE table_name_70 (record VARCHAR, round VARCHAR, method VARCHAR)
| What is the record in the 2 round fight that ended by submission (injury)? | SELECT record FROM table_name_70 WHERE round = "2" AND method = "submission (injury)" | SELECT "record" FROM "table_name_70" WHERE "2" = "round" AND "method" = "submission (injury)" | 0.09082 |
CREATE TABLE table_36077 ("Series Ep." TEXT, "Episode" FLOAT, "Netflix" TEXT, "Segment A" TEXT, "Segment B" TEXT, "Segment C" TEXT, "Segment D" TEXT)
| Which series episode has a Netflix episode of S03E16? | SELECT "Series Ep." FROM table_36077 WHERE "Netflix" = 's03e16' | SELECT "Series Ep." FROM "table_36077" WHERE "Netflix" = 's03e16' | 0.063477 |
CREATE TABLE table_29117 ("Country" TEXT, "Skip" TEXT, "W" FLOAT, "L" FLOAT, "PF" FLOAT, "PA" FLOAT, "Ends Won" FLOAT, "Ends Lost" FLOAT, "Blank Ends" FLOAT, "Stolen Ends" FLOAT, "Shot Pct." FLOAT)
| When czech republic is the country what is the lowest amount l? | SELECT MIN("L") FROM table_29117 WHERE "Country" = 'Czech Republic' | SELECT MIN("L") FROM "table_29117" WHERE "Country" = 'Czech Republic' | 0.067383 |
CREATE TABLE table_30049 ("Game" FLOAT, "Date" TEXT, "Team" TEXT, "Score" TEXT, "High points" TEXT, "High rebounds" TEXT, "High assists" TEXT, "Location Attendance" TEXT, "Record" TEXT)
| Name the location attendance for l 93-105 | SELECT "Location Attendance" FROM table_30049 WHERE "Score" = 'L 93-105' | SELECT "Location Attendance" FROM "table_30049" WHERE "Score" = 'L 93-105' | 0.072266 |
CREATE TABLE table_name_86 (set_3 VARCHAR, time VARCHAR, score VARCHAR, set_2 VARCHAR)
| Which Set 3 has a Score of 3 2, and a Set 2 of 25 23, and a Time of 19:00? | SELECT set_3 FROM table_name_86 WHERE score = "3–2" AND set_2 = "25–23" AND time = "19:00" | SELECT "set_3" FROM "table_name_86" WHERE "19:00" = "time" AND "25–23" = "set_2" AND "3–2" = "score" | 0.097656 |
CREATE TABLE table_33072 ("Lecturers" FLOAT, "Associate professors" FLOAT, "Assistant professors" FLOAT, "Professors" FLOAT, "Total" FLOAT)
| What is the total in the case when there are more than 4 associate professors, 5 lecturers and fewer professors than 40? | SELECT COUNT("Total") FROM table_33072 WHERE "Associate professors" > '4' AND "Lecturers" = '5' AND "Professors" < '40' | SELECT COUNT("Total") FROM "table_33072" WHERE "Associate professors" > '4' AND "Lecturers" = '5' AND "Professors" < '40' | 0.118164 |
CREATE TABLE table_23673 ("County" TEXT, "Obama%" TEXT, "Obama#" FLOAT, "McCain%" TEXT, "McCain#" FLOAT, "Total" FLOAT)
| How many votes did McCain get in the county where Obama got 50.7% of the votes? | SELECT MAX("McCain#") FROM table_23673 WHERE "Obama%" = '50.7%' | SELECT MAX("McCain#") FROM "table_23673" WHERE "Obama%" = '50.7%' | 0.063477 |
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
| what is diagnoses short title of diagnoses icd9 code 45620? | SELECT diagnoses.short_title FROM diagnoses WHERE diagnoses.icd9_code = "45620" | SELECT "diagnoses"."short_title" FROM "diagnoses" WHERE "45620" = "diagnoses"."icd9_code" | 0.086914 |
CREATE TABLE table_name_99 (end_date VARCHAR, to_club VARCHAR)
| A player was moved to celtic had an end of what date? | SELECT end_date FROM table_name_99 WHERE to_club = "celtic" | SELECT "end_date" FROM "table_name_99" WHERE "celtic" = "to_club" | 0.063477 |
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
| what is procedure icd9 code of subject id 14755? | SELECT procedures.icd9_code FROM procedures WHERE procedures.subject_id = "14755" | SELECT "procedures"."icd9_code" FROM "procedures" WHERE "14755" = "procedures"."subject_id" | 0.088867 |
CREATE TABLE table_40419 ("Advocate" TEXT, "Wins" FLOAT, "Losses" FLOAT, "Ties" FLOAT, "Poll wins" FLOAT, "Poll losses" FLOAT)
| What is the highest poll of the advocate Andy Kindler with poll losses greater than 2 and ties less than 0? | SELECT MAX("Poll wins") FROM table_40419 WHERE "Poll losses" > '2' AND "Advocate" = 'andy kindler' AND "Ties" < '0' | SELECT MAX("Poll wins") FROM "table_40419" WHERE "Advocate" = 'andy kindler' AND "Poll losses" > '2' AND "Ties" < '0' | 0.114258 |
CREATE TABLE PendingFlags (Id DECIMAL, FlagTypeId DECIMAL, PostId DECIMAL, CreationDate TIME, CloseReasonTypeId DECIMAL, CloseAsOffTopicReasonTypeId DECIMAL, DuplicateOfQuestionId DECIMAL, BelongsOnBaseHostAddress TEXT)
CREATE TABLE SuggestedEditVotes (Id DECIMAL, SuggestedEditId DECIMAL, UserId DECIMAL, VoteTypeId DECIMAL, CreationDate TIME, TargetUserId DECIMAL, TargetRepChange DECIMAL)
CREATE TABLE PostTypes (Id DECIMAL, Name TEXT)
CREATE TABLE ReviewTaskTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE VoteTypes (Id DECIMAL, Name TEXT)
CREATE TABLE ReviewTaskResults (Id DECIMAL, ReviewTaskId DECIMAL, ReviewTaskResultTypeId DECIMAL, CreationDate TIME, RejectionReasonId DECIMAL, Comment TEXT)
CREATE TABLE PostNoticeTypes (Id DECIMAL, ClassId DECIMAL, Name TEXT, Body TEXT, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId DECIMAL)
CREATE TABLE Badges (Id DECIMAL, UserId DECIMAL, Name TEXT, Date TIME, Class DECIMAL, TagBased BOOLEAN)
CREATE TABLE TagSynonyms (Id DECIMAL, SourceTagName TEXT, TargetTagName TEXT, CreationDate TIME, OwnerUserId DECIMAL, AutoRenameCount DECIMAL, LastAutoRename TIME, Score DECIMAL, ApprovedByUserId DECIMAL, ApprovalDate TIME)
CREATE TABLE CloseReasonTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE PostTags (PostId DECIMAL, TagId DECIMAL)
CREATE TABLE ReviewTaskStates (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE ReviewTasks (Id DECIMAL, ReviewTaskTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId DECIMAL, PostId DECIMAL, SuggestedEditId DECIMAL, CompletedByReviewTaskId DECIMAL)
CREATE TABLE Users (Id DECIMAL, Reputation DECIMAL, CreationDate TIME, DisplayName TEXT, LastAccessDate TIME, WebsiteUrl TEXT, Location TEXT, AboutMe TEXT, Views DECIMAL, UpVotes DECIMAL, DownVotes DECIMAL, ProfileImageUrl TEXT, EmailHash TEXT, AccountId DECIMAL)
CREATE TABLE Votes (Id DECIMAL, PostId DECIMAL, VoteTypeId DECIMAL, UserId DECIMAL, CreationDate TIME, BountyAmount DECIMAL)
CREATE TABLE Tags (Id DECIMAL, TagName TEXT, Count DECIMAL, ExcerptPostId DECIMAL, WikiPostId DECIMAL)
CREATE TABLE PostHistory (Id DECIMAL, PostHistoryTypeId DECIMAL, PostId DECIMAL, RevisionGUID other, CreationDate TIME, UserId DECIMAL, UserDisplayName TEXT, Comment TEXT, Text TEXT, ContentLicense TEXT)
CREATE TABLE FlagTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE PostHistoryTypes (Id DECIMAL, Name TEXT)
CREATE TABLE Posts (Id DECIMAL, PostTypeId DECIMAL, AcceptedAnswerId DECIMAL, ParentId DECIMAL, CreationDate TIME, DeletionDate TIME, Score DECIMAL, ViewCount DECIMAL, Body TEXT, OwnerUserId DECIMAL, OwnerDisplayName TEXT, LastEditorUserId DECIMAL, LastEditorDisplayName TEXT, LastEditDate TIME, LastActivityDate TIME, Title TEXT, Tags TEXT, AnswerCount DECIMAL, CommentCount DECIMAL, FavoriteCount DECIMAL, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense TEXT)
CREATE TABLE SuggestedEdits (Id DECIMAL, PostId DECIMAL, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId DECIMAL, Comment TEXT, Text TEXT, Title TEXT, Tags TEXT, RevisionGUID other)
CREATE TABLE CloseAsOffTopicReasonTypes (Id DECIMAL, IsUniversal BOOLEAN, InputTitle TEXT, MarkdownInputGuidance TEXT, MarkdownPostOwnerGuidance TEXT, MarkdownPrivilegedUserGuidance TEXT, MarkdownConcensusDescription TEXT, CreationDate TIME, CreationModeratorId DECIMAL, ApprovalDate TIME, ApprovalModeratorId DECIMAL, DeactivationDate TIME, DeactivationModeratorId DECIMAL)
CREATE TABLE PostLinks (Id DECIMAL, CreationDate TIME, PostId DECIMAL, RelatedPostId DECIMAL, LinkTypeId DECIMAL)
CREATE TABLE PostsWithDeleted (Id DECIMAL, PostTypeId DECIMAL, AcceptedAnswerId DECIMAL, ParentId DECIMAL, CreationDate TIME, DeletionDate TIME, Score DECIMAL, ViewCount DECIMAL, Body TEXT, OwnerUserId DECIMAL, OwnerDisplayName TEXT, LastEditorUserId DECIMAL, LastEditorDisplayName TEXT, LastEditDate TIME, LastActivityDate TIME, Title TEXT, Tags TEXT, AnswerCount DECIMAL, CommentCount DECIMAL, FavoriteCount DECIMAL, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense TEXT)
CREATE TABLE ReviewRejectionReasons (Id DECIMAL, Name TEXT, Description TEXT, PostTypeId DECIMAL)
CREATE TABLE PostNotices (Id DECIMAL, PostId DECIMAL, PostNoticeTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body TEXT, OwnerUserId DECIMAL, DeletionUserId DECIMAL)
CREATE TABLE ReviewTaskResultTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE Comments (Id DECIMAL, PostId DECIMAL, Score DECIMAL, Text TEXT, CreationDate TIME, UserDisplayName TEXT, UserId DECIMAL, ContentLicense TEXT)
CREATE TABLE PostFeedback (Id DECIMAL, PostId DECIMAL, IsAnonymous BOOLEAN, VoteTypeId DECIMAL, CreationDate TIME)
| Sample, simple question query by tag. | SELECT q.Id AS "post_link", q.LastActivityDate, q.Tags FROM Posts AS q INNER JOIN PostTags AS pt ON q.Id = pt.PostId INNER JOIN Tags AS t ON t.Id = pt.TagId WHERE q.PostTypeId = 1 AND t.TagName IN ('inflation') ORDER BY q.LastActivityDate DESC | SELECT "q"."Id" AS "post_link", "q"."LastActivityDate", "q"."Tags" FROM "Posts" AS "q" JOIN "PostTags" AS "pt" ON "pt"."PostId" = "q"."Id" JOIN "Tags" AS "t" ON "pt"."TagId" = "t"."Id" AND "t"."TagName" IN ('inflation') WHERE "q"."PostTypeId" = 1 ORDER BY "q"."LastActivityDate" DESC NULLS LAST | 0.287109 |
CREATE TABLE table_54406 ("Track" FLOAT, "Recorded" TEXT, "Catalogue" TEXT, "Release Date" TEXT, "Chart Peak" TEXT, "Song Title" TEXT, "Time" TEXT)
| What was the title of the song that peaked the charts at #1 with track 20? | SELECT "Song Title" FROM table_54406 WHERE "Chart Peak" = '#1' AND "Track" = '20' | SELECT "Song Title" FROM "table_54406" WHERE "Chart Peak" = '#1' AND "Track" = '20' | 0.081055 |
CREATE TABLE table_38464 ("Date" TEXT, "Opponent" TEXT, "Score" TEXT, "Loss" TEXT, "Time" TEXT, "Att." TEXT, "Record" TEXT)
| What was the score that led to an 11-16 record? | SELECT "Score" FROM table_38464 WHERE "Record" = '11-16' | SELECT "Score" FROM "table_38464" WHERE "Record" = '11-16' | 0.056641 |
CREATE TABLE table_name_77 (number VARCHAR, position VARCHAR)
| What is the number for the player that has a k position? | SELECT number FROM table_name_77 WHERE position = "k" | SELECT "number" FROM "table_name_77" WHERE "k" = "position" | 0.057617 |
CREATE TABLE table_50907 ("Res." TEXT, "Record" TEXT, "Opponent" TEXT, "Method" TEXT, "Event" TEXT, "Round" TEXT, "Location" TEXT)
| What was the event where justin robbins had a record of 9-4-1? | SELECT "Event" FROM table_50907 WHERE "Record" = '9-4-1' | SELECT "Event" FROM "table_50907" WHERE "Record" = '9-4-1' | 0.056641 |
CREATE TABLE table_name_83 (opponent VARCHAR, result VARCHAR)
| Who was the opponent at the game with a result of W 13 12? | SELECT opponent FROM table_name_83 WHERE result = "w 13–12" | SELECT "opponent" FROM "table_name_83" WHERE "result" = "w 13–12" | 0.063477 |
CREATE TABLE diagnosis (diagnosisid DECIMAL, patientunitstayid DECIMAL, diagnosisname TEXT, diagnosistime TIME, icd9code TEXT)
CREATE TABLE medication (medicationid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, dosage TEXT, routeadmin TEXT, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE allergy (allergyid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, allergyname TEXT, allergytime TIME)
CREATE TABLE treatment (treatmentid DECIMAL, patientunitstayid DECIMAL, treatmentname TEXT, treatmenttime TIME)
CREATE TABLE microlab (microlabid DECIMAL, patientunitstayid DECIMAL, culturesite TEXT, organism TEXT, culturetakentime TIME)
CREATE TABLE intakeoutput (intakeoutputid DECIMAL, patientunitstayid DECIMAL, cellpath TEXT, celllabel TEXT, cellvaluenumeric DECIMAL, intakeoutputtime TIME)
CREATE TABLE lab (labid DECIMAL, patientunitstayid DECIMAL, labname TEXT, labresult DECIMAL, labresulttime TIME)
CREATE TABLE patient (uniquepid TEXT, patienthealthsystemstayid DECIMAL, patientunitstayid DECIMAL, gender TEXT, age TEXT, ethnicity TEXT, hospitalid DECIMAL, wardid DECIMAL, admissionheight DECIMAL, admissionweight DECIMAL, dischargeweight DECIMAL, hospitaladmittime TIME, hospitaladmitsource TEXT, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus TEXT)
CREATE TABLE cost (costid DECIMAL, uniquepid TEXT, patienthealthsystemstayid DECIMAL, eventtype TEXT, eventid DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE vitalperiodic (vitalperiodicid DECIMAL, patientunitstayid DECIMAL, temperature DECIMAL, sao2 DECIMAL, heartrate DECIMAL, respiration DECIMAL, systemicsystolic DECIMAL, systemicdiastolic DECIMAL, systemicmean DECIMAL, observationtime TIME)
| what was the last procedure patient 013-27480 had during this year. | SELECT treatment.treatmentname FROM treatment WHERE treatment.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '013-27480')) AND DATETIME(treatment.treatmenttime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-0 year') ORDER BY treatment.treatmenttime DESC LIMIT 1 | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '013-27480' GROUP BY "patienthealthsystemstayid"), "_u_1" AS (SELECT "patient"."patientunitstayid" FROM "patient" LEFT JOIN "_u_0" AS "_u_0" ON "_u_0"."" = "patient"."patienthealthsystemstayid" WHERE NOT "_u_0"."" IS NULL GROUP BY "patientunitstayid") SELECT "treatment"."treatmentname" FROM "treatment" LEFT JOIN "_u_1" AS "_u_1" ON "_u_1"."" = "treatment"."patientunitstayid" WHERE DATETIME("treatment"."treatmenttime", 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-0 year') AND NOT "_u_1"."" IS NULL ORDER BY "treatment"."treatmenttime" DESC NULLS LAST LIMIT 1 | 0.669922 |
CREATE TABLE table_23840623_4 (epa_rated_combined_fuel_economy VARCHAR, vehicle VARCHAR)
| What is the epa rated combined fuel economy for the Nissan Leaf? | SELECT epa_rated_combined_fuel_economy FROM table_23840623_4 WHERE vehicle = "Nissan Leaf" | SELECT "epa_rated_combined_fuel_economy" FROM "table_23840623_4" WHERE "Nissan Leaf" = "vehicle" | 0.09375 |
CREATE TABLE table_43273 ("Rank" FLOAT, "Nation" TEXT, "Gold" FLOAT, "Silver" FLOAT, "Bronze" FLOAT, "Total" FLOAT)
| What is the Total medals for the Nation with 1 Silver and 0 Golds? | SELECT COUNT("Total") FROM table_43273 WHERE "Silver" = '1' AND "Gold" < '0' | SELECT COUNT("Total") FROM "table_43273" WHERE "Gold" < '0' AND "Silver" = '1' | 0.076172 |
CREATE TABLE table_19043 ("Episode" TEXT, "Original Air Date" TEXT, "Viewers ( millions ) " TEXT, "Presenter" TEXT, "Location" TEXT)
| How much audience did the 7th Pride of Britain Awards ceremony have? | SELECT COUNT("Viewers (millions)") FROM table_19043 WHERE "Episode" = '7th Pride of Britain Awards' | SELECT COUNT("Viewers (millions)") FROM "table_19043" WHERE "Episode" = '7th Pride of Britain Awards' | 0.098633 |
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
| how many white patients had the drug type as base? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.ethnicity = "WHITE" AND prescriptions.drug_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 "WHITE" = "demographic"."ethnicity" | 0.22168 |
CREATE TABLE countries (COUNTRY_ID VARCHAR, COUNTRY_NAME VARCHAR, REGION_ID DECIMAL)
CREATE TABLE regions (REGION_ID DECIMAL, REGION_NAME VARCHAR)
CREATE TABLE job_history (EMPLOYEE_ID DECIMAL, START_DATE DATE, END_DATE DATE, JOB_ID VARCHAR, DEPARTMENT_ID DECIMAL)
CREATE TABLE departments (DEPARTMENT_ID DECIMAL, DEPARTMENT_NAME VARCHAR, MANAGER_ID DECIMAL, LOCATION_ID DECIMAL)
CREATE TABLE employees (EMPLOYEE_ID DECIMAL, FIRST_NAME VARCHAR, LAST_NAME VARCHAR, EMAIL VARCHAR, PHONE_NUMBER VARCHAR, HIRE_DATE DATE, JOB_ID VARCHAR, SALARY DECIMAL, COMMISSION_PCT DECIMAL, MANAGER_ID DECIMAL, DEPARTMENT_ID DECIMAL)
CREATE TABLE jobs (JOB_ID VARCHAR, JOB_TITLE VARCHAR, MIN_SALARY DECIMAL, MAX_SALARY DECIMAL)
CREATE TABLE locations (LOCATION_ID DECIMAL, STREET_ADDRESS VARCHAR, POSTAL_CODE VARCHAR, CITY VARCHAR, STATE_PROVINCE VARCHAR, COUNTRY_ID VARCHAR)
| For those employees who do not work in departments with managers that have ids between 100 and 200, find last_name and salary , and visualize them by a bar chart. | SELECT LAST_NAME, SALARY FROM employees WHERE NOT DEPARTMENT_ID IN (SELECT DEPARTMENT_ID FROM departments WHERE MANAGER_ID BETWEEN 100 AND 200) | SELECT "LAST_NAME", "SALARY" FROM "employees" WHERE NOT "DEPARTMENT_ID" IN (SELECT "DEPARTMENT_ID" FROM "departments" WHERE "MANAGER_ID" <= 200 AND "MANAGER_ID" >= 100) | 0.164063 |
CREATE TABLE table_203_441 (id DECIMAL, "rank" DECIMAL, "athlete" TEXT, "ski time" TEXT, "penalties\ p+s+p+s" TEXT, "total" TEXT)
| was the wang xin ranked above or below qiu lianhai ? | SELECT (SELECT "rank" FROM table_203_441 WHERE "athlete" = 'wang xin') < (SELECT "rank" FROM table_203_441 WHERE "athlete" = 'qiu lianhai') | SELECT (SELECT "rank" FROM "table_203_441" WHERE "athlete" = 'qiu lianhai') > (SELECT "rank" FROM "table_203_441" WHERE "athlete" = 'wang xin') | 0.139648 |
CREATE TABLE table_15081939_4 (swimsuit VARCHAR, evening_gown VARCHAR)
| What is the swimsuit score for the item that has 7.61 as evening gown | SELECT swimsuit FROM table_15081939_4 WHERE evening_gown = "7.61" | SELECT "swimsuit" FROM "table_15081939_4" WHERE "7.61" = "evening_gown" | 0.069336 |
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
| what is diagnoses short title of subject id 64208? | SELECT diagnoses.short_title FROM diagnoses WHERE diagnoses.subject_id = "64208" | SELECT "diagnoses"."short_title" FROM "diagnoses" WHERE "64208" = "diagnoses"."subject_id" | 0.087891 |
CREATE TABLE table_34670 ("Rank" FLOAT, "Nation" TEXT, "Gold" FLOAT, "Silver" FLOAT, "Bronze" FLOAT, "Total" FLOAT)
| What number of rank has more than 2 medals in total with less than 4 bronze? | SELECT COUNT("Rank") FROM table_34670 WHERE "Total" > '2' AND "Bronze" < '4' | SELECT COUNT("Rank") FROM "table_34670" WHERE "Bronze" < '4' AND "Total" > '2' | 0.076172 |
CREATE TABLE table_11550 ("Date" TEXT, "Visitor" TEXT, "Score" TEXT, "Home" TEXT, "Decision" TEXT, "Attendance" FLOAT, "Record" TEXT)
| What day is the team 17 24 5? | SELECT "Date" FROM table_11550 WHERE "Record" = '17–24–5' | SELECT "Date" FROM "table_11550" WHERE "Record" = '17–24–5' | 0.057617 |
CREATE TABLE table_name_55 (leading_scorer VARCHAR, visitor VARCHAR)
| Who was the leading scorer when the visiting team was the Trail Blazers? | SELECT leading_scorer FROM table_name_55 WHERE visitor = "trail blazers" | SELECT "leading_scorer" FROM "table_name_55" WHERE "trail blazers" = "visitor" | 0.076172 |
CREATE TABLE table_name_58 (away_team VARCHAR, venue VARCHAR)
| What did the away team score at corio oval? | SELECT away_team AS score FROM table_name_58 WHERE venue = "corio oval" | SELECT "away_team" AS "score" FROM "table_name_58" WHERE "corio oval" = "venue" | 0.077148 |
CREATE TABLE departments (DEPARTMENT_ID DECIMAL, DEPARTMENT_NAME VARCHAR, MANAGER_ID DECIMAL, LOCATION_ID DECIMAL)
CREATE TABLE employees (EMPLOYEE_ID DECIMAL, FIRST_NAME VARCHAR, LAST_NAME VARCHAR, EMAIL VARCHAR, PHONE_NUMBER VARCHAR, HIRE_DATE DATE, JOB_ID VARCHAR, SALARY DECIMAL, COMMISSION_PCT DECIMAL, MANAGER_ID DECIMAL, DEPARTMENT_ID DECIMAL)
CREATE TABLE job_history (EMPLOYEE_ID DECIMAL, START_DATE DATE, END_DATE DATE, JOB_ID VARCHAR, DEPARTMENT_ID DECIMAL)
CREATE TABLE jobs (JOB_ID VARCHAR, JOB_TITLE VARCHAR, MIN_SALARY DECIMAL, MAX_SALARY DECIMAL)
CREATE TABLE regions (REGION_ID DECIMAL, REGION_NAME VARCHAR)
CREATE TABLE locations (LOCATION_ID DECIMAL, STREET_ADDRESS VARCHAR, POSTAL_CODE VARCHAR, CITY VARCHAR, STATE_PROVINCE VARCHAR, COUNTRY_ID VARCHAR)
CREATE TABLE countries (COUNTRY_ID VARCHAR, COUNTRY_NAME VARCHAR, REGION_ID DECIMAL)
| For those employees whose salary is in the range of 8000 and 12000 and commission is not null or department number does not equal to 40, show me about the distribution of hire_date and the average of department_id bin hire_date by time in a bar chart. | SELECT HIRE_DATE, AVG(DEPARTMENT_ID) FROM employees WHERE SALARY BETWEEN 8000 AND 12000 AND COMMISSION_PCT <> "null" OR DEPARTMENT_ID <> 40 | SELECT "HIRE_DATE", AVG("DEPARTMENT_ID") FROM "employees" WHERE ("COMMISSION_PCT" <> "null" OR "DEPARTMENT_ID" <> 40) AND ("DEPARTMENT_ID" <> 40 OR "SALARY" <= 12000) AND ("DEPARTMENT_ID" <> 40 OR "SALARY" >= 8000) | 0.208984 |
CREATE TABLE table_203_678 (id DECIMAL, "rank" DECIMAL, "wrestler" TEXT, "no. of reigns" DECIMAL, "combined\ defenses" DECIMAL, "combined\ days" DECIMAL)
| who is the only wrestler with 5 number of reigns ? | SELECT "wrestler" FROM table_203_678 WHERE "no. of reigns" = 5 | SELECT "wrestler" FROM "table_203_678" WHERE "no. of reigns" = 5 | 0.0625 |
CREATE TABLE county (county_id DECIMAL, county_name TEXT, population DECIMAL, zip_code TEXT)
CREATE TABLE election (election_id DECIMAL, counties_represented TEXT, district DECIMAL, delegate TEXT, party DECIMAL, first_elected DECIMAL, committee TEXT)
CREATE TABLE party (party_id DECIMAL, year DECIMAL, party TEXT, governor TEXT, lieutenant_governor TEXT, comptroller TEXT, attorney_general TEXT, us_senate TEXT)
| Show the name of each county along with the corresponding number of delegates from that county. | SELECT T1.county_name, COUNT(*) FROM county AS T1 JOIN election AS T2 ON T1.county_id = T2.district GROUP BY T1.county_id | SELECT "T1"."county_name", COUNT(*) FROM "county" AS "T1" JOIN "election" AS "T2" ON "T1"."county_id" = "T2"."district" GROUP BY "T1"."county_id" | 0.141602 |
CREATE TABLE table_37960 ("Date" TEXT, "Time" TEXT, "Score" TEXT, "Set 1" TEXT, "Set 2" TEXT, "Set 3" TEXT, "Total" TEXT)
| Which Date has a Time of 11:00, and a Set 3 of 25 18? | SELECT "Date" FROM table_37960 WHERE "Time" = '11:00' AND "Set 3" = '25–18' | SELECT "Date" FROM "table_37960" WHERE "Set 3" = '25–18' AND "Time" = '11:00' | 0.075195 |
CREATE TABLE table_204_698 (id DECIMAL, "name" TEXT, "lifetime" TEXT, "nationality" TEXT, "notable as" TEXT, "notes" TEXT)
| how old was pierre vallieres before he died ? | SELECT "lifetime" - "lifetime" FROM table_204_698 WHERE "name" = 'pierre vallieres' | SELECT "lifetime" - "lifetime" FROM "table_204_698" WHERE "name" = 'pierre vallieres' | 0.083008 |
CREATE TABLE table_name_24 (name VARCHAR, family VARCHAR, species_authority VARCHAR)
| Who has canidae as family and canis rufus audubon & bachman, 1851 as species/authority? | SELECT name FROM table_name_24 WHERE family = "canidae" AND species_authority = "canis rufus audubon & bachman, 1851" | SELECT "name" FROM "table_name_24" WHERE "canidae" = "family" AND "canis rufus audubon & bachman, 1851" = "species_authority" | 0.12207 |
CREATE TABLE table_58704 ("Year" FLOAT, "Binibining Pilipinas-Universe" TEXT, "Binibining Pilipinas-International" TEXT, "Miss Maja Pilipinas" TEXT, "Binibining Pilipinas-Tourism" TEXT, "First runner-up" TEXT, "Second runner-up" TEXT)
| What Miss Maja Pilipinas has a Binibining Pilipinas-Tourism of not awarded, and a Binibining Pilipinas-Universe of anjanette abayari? | SELECT "Miss Maja Pilipinas" FROM table_58704 WHERE "Binibining Pilipinas-Tourism" = 'not awarded' AND "Binibining Pilipinas-Universe" = 'anjanette abayari' | SELECT "Miss Maja Pilipinas" FROM "table_58704" WHERE "Binibining Pilipinas-Tourism" = 'not awarded' AND "Binibining Pilipinas-Universe" = 'anjanette abayari' | 0.154297 |
CREATE TABLE table_34320 ("Date" TEXT, "Episode" FLOAT, "Performer 1" TEXT, "Performer 2" TEXT, "Performer 3" TEXT, "Performer 4" TEXT)
| What is the total number of episodes where jim sweeney was the 1st performer and steve steen was the 2nd performer? | SELECT COUNT("Episode") FROM table_34320 WHERE "Performer 1" = 'jim sweeney' AND "Performer 2" = 'steve steen' | SELECT COUNT("Episode") FROM "table_34320" WHERE "Performer 1" = 'jim sweeney' AND "Performer 2" = 'steve steen' | 0.109375 |
CREATE TABLE intakeoutput (intakeoutputid DECIMAL, patientunitstayid DECIMAL, cellpath TEXT, celllabel TEXT, cellvaluenumeric DECIMAL, intakeoutputtime TIME)
CREATE TABLE lab (labid DECIMAL, patientunitstayid DECIMAL, labname TEXT, labresult DECIMAL, labresulttime TIME)
CREATE TABLE medication (medicationid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, dosage TEXT, routeadmin TEXT, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE vitalperiodic (vitalperiodicid DECIMAL, patientunitstayid DECIMAL, temperature DECIMAL, sao2 DECIMAL, heartrate DECIMAL, respiration DECIMAL, systemicsystolic DECIMAL, systemicdiastolic DECIMAL, systemicmean DECIMAL, observationtime TIME)
CREATE TABLE microlab (microlabid DECIMAL, patientunitstayid DECIMAL, culturesite TEXT, organism TEXT, culturetakentime TIME)
CREATE TABLE allergy (allergyid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, allergyname TEXT, allergytime TIME)
CREATE TABLE cost (costid DECIMAL, uniquepid TEXT, patienthealthsystemstayid DECIMAL, eventtype TEXT, eventid DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE diagnosis (diagnosisid DECIMAL, patientunitstayid DECIMAL, diagnosisname TEXT, diagnosistime TIME, icd9code TEXT)
CREATE TABLE treatment (treatmentid DECIMAL, patientunitstayid DECIMAL, treatmentname TEXT, treatmenttime TIME)
CREATE TABLE patient (uniquepid TEXT, patienthealthsystemstayid DECIMAL, patientunitstayid DECIMAL, gender TEXT, age TEXT, ethnicity TEXT, hospitalid DECIMAL, wardid DECIMAL, admissionheight DECIMAL, admissionweight DECIMAL, dischargeweight DECIMAL, hospitaladmittime TIME, hospitaladmitsource TEXT, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus TEXT)
| what is the name of patient 017-7283's last intake on the last icu visit? | SELECT intakeoutput.celllabel FROM intakeoutput WHERE intakeoutput.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '017-7283') AND NOT patient.unitdischargetime IS NULL ORDER BY patient.unitadmittime DESC LIMIT 1) AND intakeoutput.cellpath LIKE '%intake%' ORDER BY intakeoutput.intakeoutputtime DESC LIMIT 1 | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '017-7283' GROUP BY "patienthealthsystemstayid") SELECT "intakeoutput"."celllabel" FROM "intakeoutput" WHERE "intakeoutput"."cellpath" LIKE '%intake%' AND "intakeoutput"."patientunitstayid" IN (SELECT "patient"."patientunitstayid" FROM "patient" LEFT JOIN "_u_0" AS "_u_0" ON "_u_0"."" = "patient"."patienthealthsystemstayid" WHERE NOT "_u_0"."" IS NULL AND NOT "patient"."unitdischargetime" IS NULL ORDER BY "patient"."unitadmittime" DESC NULLS LAST LIMIT 1) ORDER BY "intakeoutput"."intakeoutputtime" DESC NULLS LAST LIMIT 1 | 0.617188 |
CREATE TABLE table_73745 ("Position" FLOAT, "Driver" TEXT, "Points" FLOAT, "Winnings" TEXT, "Series" TEXT)
| In what position was the driver who won $60,000? | SELECT MIN("Position") FROM table_73745 WHERE "Winnings" = '$60,000' | SELECT MIN("Position") FROM "table_73745" WHERE "Winnings" = '$60,000' | 0.068359 |
CREATE TABLE table_56422 ("Date" TEXT, "Opponent" TEXT, "Score" TEXT, "Loss" TEXT, "Attendance" TEXT, "Record" TEXT)
| What was the team's record on August 4? | SELECT "Record" FROM table_56422 WHERE "Date" = 'august 4' | SELECT "Record" FROM "table_56422" WHERE "Date" = 'august 4' | 0.058594 |
CREATE TABLE table_dev_29 ("id" INT, "gender" TEXT, "white_blood_cell_count_wbc" INT, "systolic_blood_pressure_sbp" INT, "hemoglobin_a1c_hba1c" FLOAT, "renal_disease" BOOLEAN, "creatinine_clearance_cl" FLOAT, "post_load_glucose" INT, "platelet_count" FLOAT, "fasting_plasma_glucose" INT, "diastolic_blood_pressure_dbp" INT, "urine_protein" INT, "serum_creatinine" FLOAT, "proteinuria" INT, "baseline_hemoglobin_hgb" FLOAT, "NOUSE" FLOAT)
| serum creatinine >= 1.5 mg / dl for male , or >= 1.4 mg / dl for female . | SELECT * FROM table_dev_29 WHERE (serum_creatinine >= 1.5 AND gender = 'male') OR (serum_creatinine >= 1.4 AND gender = 'female') | SELECT * FROM "table_dev_29" WHERE ("gender" = 'female' OR "gender" = 'male') AND ("gender" = 'female' OR "serum_creatinine" >= 1.5) AND "serum_creatinine" >= 1.4 | 0.158203 |
CREATE TABLE PostNoticeTypes (Id DECIMAL, ClassId DECIMAL, Name TEXT, Body TEXT, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId DECIMAL)
CREATE TABLE Votes (Id DECIMAL, PostId DECIMAL, VoteTypeId DECIMAL, UserId DECIMAL, CreationDate TIME, BountyAmount DECIMAL)
CREATE TABLE PostLinks (Id DECIMAL, CreationDate TIME, PostId DECIMAL, RelatedPostId DECIMAL, LinkTypeId DECIMAL)
CREATE TABLE PostHistoryTypes (Id DECIMAL, Name TEXT)
CREATE TABLE SuggestedEditVotes (Id DECIMAL, SuggestedEditId DECIMAL, UserId DECIMAL, VoteTypeId DECIMAL, CreationDate TIME, TargetUserId DECIMAL, TargetRepChange DECIMAL)
CREATE TABLE TagSynonyms (Id DECIMAL, SourceTagName TEXT, TargetTagName TEXT, CreationDate TIME, OwnerUserId DECIMAL, AutoRenameCount DECIMAL, LastAutoRename TIME, Score DECIMAL, ApprovedByUserId DECIMAL, ApprovalDate TIME)
CREATE TABLE ReviewTaskTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE SuggestedEdits (Id DECIMAL, PostId DECIMAL, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId DECIMAL, Comment TEXT, Text TEXT, Title TEXT, Tags TEXT, RevisionGUID other)
CREATE TABLE ReviewTasks (Id DECIMAL, ReviewTaskTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId DECIMAL, PostId DECIMAL, SuggestedEditId DECIMAL, CompletedByReviewTaskId DECIMAL)
CREATE TABLE Posts (Id DECIMAL, PostTypeId DECIMAL, AcceptedAnswerId DECIMAL, ParentId DECIMAL, CreationDate TIME, DeletionDate TIME, Score DECIMAL, ViewCount DECIMAL, Body TEXT, OwnerUserId DECIMAL, OwnerDisplayName TEXT, LastEditorUserId DECIMAL, LastEditorDisplayName TEXT, LastEditDate TIME, LastActivityDate TIME, Title TEXT, Tags TEXT, AnswerCount DECIMAL, CommentCount DECIMAL, FavoriteCount DECIMAL, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense TEXT)
CREATE TABLE PostTags (PostId DECIMAL, TagId DECIMAL)
CREATE TABLE ReviewTaskResultTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE ReviewTaskResults (Id DECIMAL, ReviewTaskId DECIMAL, ReviewTaskResultTypeId DECIMAL, CreationDate TIME, RejectionReasonId DECIMAL, Comment TEXT)
CREATE TABLE ReviewTaskStates (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE Badges (Id DECIMAL, UserId DECIMAL, Name TEXT, Date TIME, Class DECIMAL, TagBased BOOLEAN)
CREATE TABLE CloseAsOffTopicReasonTypes (Id DECIMAL, IsUniversal BOOLEAN, InputTitle TEXT, MarkdownInputGuidance TEXT, MarkdownPostOwnerGuidance TEXT, MarkdownPrivilegedUserGuidance TEXT, MarkdownConcensusDescription TEXT, CreationDate TIME, CreationModeratorId DECIMAL, ApprovalDate TIME, ApprovalModeratorId DECIMAL, DeactivationDate TIME, DeactivationModeratorId DECIMAL)
CREATE TABLE PostHistory (Id DECIMAL, PostHistoryTypeId DECIMAL, PostId DECIMAL, RevisionGUID other, CreationDate TIME, UserId DECIMAL, UserDisplayName TEXT, Comment TEXT, Text TEXT, ContentLicense TEXT)
CREATE TABLE ReviewRejectionReasons (Id DECIMAL, Name TEXT, Description TEXT, PostTypeId DECIMAL)
CREATE TABLE Users (Id DECIMAL, Reputation DECIMAL, CreationDate TIME, DisplayName TEXT, LastAccessDate TIME, WebsiteUrl TEXT, Location TEXT, AboutMe TEXT, Views DECIMAL, UpVotes DECIMAL, DownVotes DECIMAL, ProfileImageUrl TEXT, EmailHash TEXT, AccountId DECIMAL)
CREATE TABLE VoteTypes (Id DECIMAL, Name TEXT)
CREATE TABLE Comments (Id DECIMAL, PostId DECIMAL, Score DECIMAL, Text TEXT, CreationDate TIME, UserDisplayName TEXT, UserId DECIMAL, ContentLicense TEXT)
CREATE TABLE Tags (Id DECIMAL, TagName TEXT, Count DECIMAL, ExcerptPostId DECIMAL, WikiPostId DECIMAL)
CREATE TABLE PostsWithDeleted (Id DECIMAL, PostTypeId DECIMAL, AcceptedAnswerId DECIMAL, ParentId DECIMAL, CreationDate TIME, DeletionDate TIME, Score DECIMAL, ViewCount DECIMAL, Body TEXT, OwnerUserId DECIMAL, OwnerDisplayName TEXT, LastEditorUserId DECIMAL, LastEditorDisplayName TEXT, LastEditDate TIME, LastActivityDate TIME, Title TEXT, Tags TEXT, AnswerCount DECIMAL, CommentCount DECIMAL, FavoriteCount DECIMAL, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense TEXT)
CREATE TABLE PostTypes (Id DECIMAL, Name TEXT)
CREATE TABLE CloseReasonTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE PendingFlags (Id DECIMAL, FlagTypeId DECIMAL, PostId DECIMAL, CreationDate TIME, CloseReasonTypeId DECIMAL, CloseAsOffTopicReasonTypeId DECIMAL, DuplicateOfQuestionId DECIMAL, BelongsOnBaseHostAddress TEXT)
CREATE TABLE PostNotices (Id DECIMAL, PostId DECIMAL, PostNoticeTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body TEXT, OwnerUserId DECIMAL, DeletionUserId DECIMAL)
CREATE TABLE PostFeedback (Id DECIMAL, PostId DECIMAL, IsAnonymous BOOLEAN, VoteTypeId DECIMAL, CreationDate TIME)
CREATE TABLE FlagTypes (Id DECIMAL, Name TEXT, Description TEXT)
| Most popular StackOverflow tags in October 2012. | SELECT num.TagName AS Tag, ROW_NUMBER() OVER (ORDER BY rate.Rate DESC) AS MayRank, ROW_NUMBER() OVER (ORDER BY num.Num DESC) AS TotalRank, rate.Rate AS QuestionsInMay, num.Num AS QuestionsTotal FROM (SELECT COUNT(PostId) AS Rate, TagName FROM Tags, PostTags, Posts WHERE Tags.Id = PostTags.TagId AND Posts.Id = PostId AND Posts.CreationDate < '2012-06-01' AND Posts.CreationDate > '2012-06-30' GROUP BY TagName) AS rate INNER JOIN (SELECT COUNT(PostId) AS Num, TagName FROM Tags, PostTags, Posts WHERE Tags.Id = PostTags.TagId AND Posts.Id = PostId GROUP BY TagName HAVING COUNT(PostId) > 800) AS num ON rate.TagName = num.TagName ORDER BY rate.rate DESC | WITH "rate" AS (SELECT COUNT("PostId") AS "Rate", "TagName" FROM "Tags" CROSS JOIN "PostTags" CROSS JOIN "Posts" WHERE FALSE GROUP BY "TagName"), "num" AS (SELECT COUNT("PostId") AS "Num", "TagName" FROM "Tags" JOIN "Posts" ON "PostId" = "Posts"."Id" JOIN "PostTags" ON "PostTags"."TagId" = "Tags"."Id" GROUP BY "TagName" HAVING COUNT("PostId") > 800) SELECT "num"."TagName" AS "Tag", ROW_NUMBER() OVER (ORDER BY "rate"."Rate" DESC NULLS LAST) AS "MayRank", ROW_NUMBER() OVER (ORDER BY "num"."Num" DESC NULLS LAST) AS "TotalRank", "rate"."Rate" AS "QuestionsInMay", "num"."Num" AS "QuestionsTotal" FROM "rate" AS "rate" JOIN "num" AS "num" ON "num"."TagName" = "rate"."TagName" ORDER BY "rate"."rate" DESC NULLS LAST | 0.699219 |
CREATE TABLE table_28719193_19 (city VARCHAR, stadium VARCHAR)
| What was the city whose stadium is Gerald J. Ford Stadium? | SELECT city FROM table_28719193_19 WHERE stadium = "Gerald J. Ford stadium" | SELECT "city" FROM "table_28719193_19" WHERE "Gerald J. Ford stadium" = "stadium" | 0.079102 |
CREATE TABLE microlab (microlabid DECIMAL, patientunitstayid DECIMAL, culturesite TEXT, organism TEXT, culturetakentime TIME)
CREATE TABLE treatment (treatmentid DECIMAL, patientunitstayid DECIMAL, treatmentname TEXT, treatmenttime TIME)
CREATE TABLE diagnosis (diagnosisid DECIMAL, patientunitstayid DECIMAL, diagnosisname TEXT, diagnosistime TIME, icd9code TEXT)
CREATE TABLE medication (medicationid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, dosage TEXT, routeadmin TEXT, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE patient (uniquepid TEXT, patienthealthsystemstayid DECIMAL, patientunitstayid DECIMAL, gender TEXT, age TEXT, ethnicity TEXT, hospitalid DECIMAL, wardid DECIMAL, admissionheight DECIMAL, admissionweight DECIMAL, dischargeweight DECIMAL, hospitaladmittime TIME, hospitaladmitsource TEXT, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus TEXT)
CREATE TABLE lab (labid DECIMAL, patientunitstayid DECIMAL, labname TEXT, labresult DECIMAL, labresulttime TIME)
CREATE TABLE intakeoutput (intakeoutputid DECIMAL, patientunitstayid DECIMAL, cellpath TEXT, celllabel TEXT, cellvaluenumeric DECIMAL, intakeoutputtime TIME)
CREATE TABLE vitalperiodic (vitalperiodicid DECIMAL, patientunitstayid DECIMAL, temperature DECIMAL, sao2 DECIMAL, heartrate DECIMAL, respiration DECIMAL, systemicsystolic DECIMAL, systemicdiastolic DECIMAL, systemicmean DECIMAL, observationtime TIME)
CREATE TABLE cost (costid DECIMAL, uniquepid TEXT, patienthealthsystemstayid DECIMAL, eventtype TEXT, eventid DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE allergy (allergyid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, allergyname TEXT, allergytime TIME)
| tell me the total amount of patient 017-20711's inputs on last month/06? | SELECT SUM(intakeoutput.cellvaluenumeric) FROM intakeoutput WHERE intakeoutput.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '017-20711')) AND intakeoutput.cellpath LIKE '%intake%' AND DATETIME(intakeoutput.intakeoutputtime, 'start of month') = DATETIME(CURRENT_TIME(), 'start of month', '-1 month') AND STRFTIME('%d', intakeoutput.intakeoutputtime) = '06' | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '017-20711' GROUP BY "patienthealthsystemstayid"), "_u_1" AS (SELECT "patient"."patientunitstayid" FROM "patient" LEFT JOIN "_u_0" AS "_u_0" ON "_u_0"."" = "patient"."patienthealthsystemstayid" WHERE NOT "_u_0"."" IS NULL GROUP BY "patientunitstayid") SELECT SUM("intakeoutput"."cellvaluenumeric") FROM "intakeoutput" LEFT JOIN "_u_1" AS "_u_1" ON "_u_1"."" = "intakeoutput"."patientunitstayid" WHERE "intakeoutput"."cellpath" LIKE '%intake%' AND DATETIME("intakeoutput"."intakeoutputtime", 'start of month') = DATETIME(CURRENT_TIME(), 'start of month', '-1 month') AND NOT "_u_1"."" IS NULL AND STRFTIME('%d', "intakeoutput"."intakeoutputtime") = '06' | 0.740234 |
CREATE TABLE table_38338 ("Date" TEXT, "Opponent" TEXT, "Score" TEXT, "Loss" TEXT, "Attendance" FLOAT, "Record" TEXT)
| Which Loss has a Record of 30-32? | SELECT "Loss" FROM table_38338 WHERE "Record" = '30-32' | SELECT "Loss" FROM "table_38338" WHERE "Record" = '30-32' | 0.055664 |
CREATE TABLE table_name_40 (top_5 VARCHAR, top_25 VARCHAR, cuts_made VARCHAR)
| What is the total number of Top-5 when the Top-25 is 6, and a Cuts made are less than 12? | SELECT COUNT(top_5) FROM table_name_40 WHERE top_25 = 6 AND cuts_made < 12 | SELECT COUNT("top_5") FROM "table_name_40" WHERE "cuts_made" < 12 AND "top_25" = 6 | 0.080078 |
CREATE TABLE table_18398 ("District" TEXT, "Incumbent" TEXT, "Party" TEXT, "First elected" FLOAT, "Result" TEXT, "Candidates" TEXT)
| Name the party with edward boland | SELECT "Party" FROM table_18398 WHERE "Incumbent" = 'Edward Boland' | SELECT "Party" FROM "table_18398" WHERE "Incumbent" = 'Edward Boland' | 0.067383 |
CREATE TABLE table_40803 ("Verb" TEXT, "Proto-Austronesian" TEXT, "Proto-Malayo-Polynesian" TEXT, "Proto-Oceanic" TEXT, "Proto-Polynesian" TEXT)
| What is the verb for the Proto-Austronesian word *diri? | SELECT "Verb" FROM table_40803 WHERE "Proto-Austronesian" = '*diri' | SELECT "Verb" FROM "table_40803" WHERE "Proto-Austronesian" = '*diri' | 0.067383 |
CREATE TABLE table_31995 ("Year" FLOAT, "Competition" TEXT, "Date" TEXT, "Location" TEXT, "Score" TEXT, "Result" TEXT)
| Tell me the date for warsaw 1929 | SELECT "Date" FROM table_31995 WHERE "Location" = 'warsaw' AND "Year" = '1929' | SELECT "Date" FROM "table_31995" WHERE "Location" = 'warsaw' AND "Year" = '1929' | 0.078125 |
CREATE TABLE table_name_18 (country VARCHAR)
| Which country has more than 0 in 2012 and 2009, 0 in 2008 and more than 0 in 2004? | SELECT country FROM table_name_18 WHERE 2012 > 0 AND 2009 > 0 AND 2008 = 0 AND 2004 > 0 | SELECT "country" FROM "table_name_18" WHERE FALSE | 0.047852 |
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
| count the number of patients whose primary disease is abdominal abscess and who have died in or before the year 2179. | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.diagnosis = "ABDOMINAL ABSCESS" AND demographic.dod_year <= "2179.0" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "2179.0" >= "demographic"."dod_year" AND "ABDOMINAL ABSCESS" = "demographic"."diagnosis" | 0.15918 |
CREATE TABLE table_78049 ("Stage" TEXT, "Winner" TEXT, "General classification" TEXT, "Points classification" TEXT, "Trofeo Fast Team" TEXT)
| who is the points classification in stage 1? | SELECT "Points classification" FROM table_78049 WHERE "Stage" = '1' | SELECT "Points classification" FROM "table_78049" WHERE "Stage" = '1' | 0.067383 |
CREATE TABLE table_name_72 (round INT, college VARCHAR)
| what is the highest round when the college is penn state? | SELECT MAX(round) FROM table_name_72 WHERE college = "penn state" | SELECT MAX("round") FROM "table_name_72" WHERE "college" = "penn state" | 0.069336 |
CREATE TABLE table_19966 ("Year ( Ceremony ) " FLOAT, "Original title" TEXT, "English title" TEXT, "Director" TEXT, "Result" TEXT)
| Name the original title of the Suzana Amaral film | SELECT "Original title" FROM table_19966 WHERE "Director" = 'Suzana Amaral' | SELECT "Original title" FROM "table_19966" WHERE "Director" = 'Suzana Amaral' | 0.075195 |
CREATE TABLE table_45976 ("Team" TEXT, "Outgoing manager" TEXT, "Manner of departure" TEXT, "Date of vacancy" TEXT, "Replaced by" TEXT, "Date of appointment" TEXT, "Position in table" TEXT)
| WHAT IS THE APPOINTMENT DATE WITH A PRE-SEASON POSITION, AND REPLACED BY THOMAS THOMASBERG? | SELECT "Date of appointment" FROM table_45976 WHERE "Position in table" = 'pre-season' AND "Replaced by" = 'thomas thomasberg' | SELECT "Date of appointment" FROM "table_45976" WHERE "Position in table" = 'pre-season' AND "Replaced by" = 'thomas thomasberg' | 0.125 |
CREATE TABLE table_name_41 (player VARCHAR, score VARCHAR)
| What is the name of the player with an overall score of 70-69-69=208? | SELECT player FROM table_name_41 WHERE score = 70 - 69 - 69 = 208 | SELECT "player" FROM "table_name_41" WHERE "score" = FALSE | 0.056641 |
CREATE TABLE table_name_67 (length__ft_ VARCHAR, order_year VARCHAR, manufacturer VARCHAR, model VARCHAR)
| What is the Length (ft.) for a 2008 nfi d40lf? | SELECT length__ft_ FROM table_name_67 WHERE manufacturer = "nfi" AND model = "d40lf" AND order_year = "2008" | SELECT "length__ft_" FROM "table_name_67" WHERE "2008" = "order_year" AND "d40lf" = "model" AND "manufacturer" = "nfi" | 0.115234 |
CREATE TABLE files (formats VARCHAR)
| What is the most popular file format? | SELECT formats FROM files GROUP BY formats ORDER BY COUNT(*) DESC LIMIT 1 | SELECT "formats" FROM "files" GROUP BY "formats" ORDER BY COUNT(*) DESC NULLS LAST LIMIT 1 | 0.087891 |
CREATE TABLE table_204_490 (id DECIMAL, "position" TEXT, "name" TEXT, "height" TEXT, "weight" TEXT, "birthdate" TEXT, "birthplace" TEXT, "2009-10 team" TEXT)
| what is the total number of wisconsin badgers on the american roster for women 's ice hockey in the 2010 winter olympics ? | SELECT COUNT(*) FROM table_204_490 WHERE "2009-10 team" = 'wisconsin badgers' | SELECT COUNT(*) FROM "table_204_490" WHERE "2009-10 team" = 'wisconsin badgers' | 0.077148 |
CREATE TABLE table_name_1 (population__region_total_ INT, year VARCHAR, population__mareeba_ VARCHAR)
| What was the sum total of the region after 1976 when Mareeba had population was more than 18,212? | SELECT SUM(population__region_total_) FROM table_name_1 WHERE year > 1976 AND population__mareeba_ > 18 OFFSET 212 | SELECT SUM("population__region_total_") FROM "table_name_1" WHERE "population__mareeba_" > 18 AND "year" > 1976 OFFSET 212 | 0.119141 |
CREATE TABLE table_21378160_2 (opponent VARCHAR, date VARCHAR)
| How many opponents did they play on 17/05/2009? | SELECT COUNT(opponent) FROM table_21378160_2 WHERE date = "17/05/2009" | SELECT COUNT("opponent") FROM "table_21378160_2" WHERE "17/05/2009" = "date" | 0.074219 |
CREATE TABLE cost (costid DECIMAL, uniquepid TEXT, patienthealthsystemstayid DECIMAL, eventtype TEXT, eventid DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE intakeoutput (intakeoutputid DECIMAL, patientunitstayid DECIMAL, cellpath TEXT, celllabel TEXT, cellvaluenumeric DECIMAL, intakeoutputtime TIME)
CREATE TABLE treatment (treatmentid DECIMAL, patientunitstayid DECIMAL, treatmentname TEXT, treatmenttime TIME)
CREATE TABLE patient (uniquepid TEXT, patienthealthsystemstayid DECIMAL, patientunitstayid DECIMAL, gender TEXT, age TEXT, ethnicity TEXT, hospitalid DECIMAL, wardid DECIMAL, admissionheight DECIMAL, admissionweight DECIMAL, dischargeweight DECIMAL, hospitaladmittime TIME, hospitaladmitsource TEXT, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus TEXT)
CREATE TABLE allergy (allergyid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, allergyname TEXT, allergytime TIME)
CREATE TABLE lab (labid DECIMAL, patientunitstayid DECIMAL, labname TEXT, labresult DECIMAL, labresulttime TIME)
CREATE TABLE vitalperiodic (vitalperiodicid DECIMAL, patientunitstayid DECIMAL, temperature DECIMAL, sao2 DECIMAL, heartrate DECIMAL, respiration DECIMAL, systemicsystolic DECIMAL, systemicdiastolic DECIMAL, systemicmean DECIMAL, observationtime TIME)
CREATE TABLE medication (medicationid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, dosage TEXT, routeadmin TEXT, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE microlab (microlabid DECIMAL, patientunitstayid DECIMAL, culturesite TEXT, organism TEXT, culturetakentime TIME)
CREATE TABLE diagnosis (diagnosisid DECIMAL, patientunitstayid DECIMAL, diagnosisname TEXT, diagnosistime TIME, icd9code TEXT)
| what is the name of the drug that patient 002-41152 has been prescribed two or more times last month? | SELECT t1.drugname FROM (SELECT medication.drugname, COUNT(medication.drugstarttime) AS c1 FROM medication WHERE medication.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '002-41152')) AND DATETIME(medication.drugstarttime, 'start of month') = DATETIME(CURRENT_TIME(), 'start of month', '-1 month') GROUP BY medication.drugname) AS t1 WHERE t1.c1 >= 2 | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '002-41152' GROUP BY "patienthealthsystemstayid"), "_u_1" AS (SELECT "patient"."patientunitstayid" FROM "patient" LEFT JOIN "_u_0" AS "_u_0" ON "_u_0"."" = "patient"."patienthealthsystemstayid" WHERE NOT "_u_0"."" IS NULL GROUP BY "patientunitstayid"), "t1" AS (SELECT "medication"."drugname", COUNT("medication"."drugstarttime") AS "c1" FROM "medication" LEFT JOIN "_u_1" AS "_u_1" ON "_u_1"."" = "medication"."patientunitstayid" WHERE DATETIME("medication"."drugstarttime", 'start of month') = DATETIME(CURRENT_TIME(), 'start of month', '-1 month') AND NOT "_u_1"."" IS NULL GROUP BY "medication"."drugname") SELECT "t1"."drugname" FROM "t1" AS "t1" WHERE "t1"."c1" >= 2 | 0.759766 |
CREATE TABLE table_name_29 (country VARCHAR, rank INT)
| What country is ranked higher than 5? | SELECT country FROM table_name_29 WHERE rank > 5 | SELECT "country" FROM "table_name_29" WHERE "rank" > 5 | 0.052734 |
CREATE TABLE company (company_id DECIMAL, rank DECIMAL, company TEXT, headquarters TEXT, main_industry TEXT, sales_billion DECIMAL, profits_billion DECIMAL, assets_billion DECIMAL, market_value DECIMAL)
CREATE TABLE gas_station (station_id DECIMAL, open_year DECIMAL, location TEXT, manager_name TEXT, vice_manager_name TEXT, representative_name TEXT)
CREATE TABLE station_company (station_id DECIMAL, company_id DECIMAL, rank_of_the_year DECIMAL)
| What are the locations of all the gas stations ordered by opening year? | SELECT location FROM gas_station ORDER BY open_year | SELECT "location" FROM "gas_station" ORDER BY "open_year" NULLS FIRST | 0.067383 |
CREATE TABLE table_56197 ("Outcome" TEXT, "Date" FLOAT, "Championship" TEXT, "Surface" TEXT, "Opponent" TEXT, "Score" TEXT)
| On what Date was the Score of 3 6, 6 4, 3 6, 6 1, 6 2 | SELECT SUM("Date") FROM table_56197 WHERE "Score" = '3–6, 6–4, 3–6, 6–1, 6–2' | SELECT SUM("Date") FROM "table_56197" WHERE "Score" = '3–6, 6–4, 3–6, 6–1, 6–2' | 0.077148 |
CREATE TABLE PostNoticeTypes (Id DECIMAL, ClassId DECIMAL, Name TEXT, Body TEXT, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId DECIMAL)
CREATE TABLE ReviewTaskResults (Id DECIMAL, ReviewTaskId DECIMAL, ReviewTaskResultTypeId DECIMAL, CreationDate TIME, RejectionReasonId DECIMAL, Comment TEXT)
CREATE TABLE PendingFlags (Id DECIMAL, FlagTypeId DECIMAL, PostId DECIMAL, CreationDate TIME, CloseReasonTypeId DECIMAL, CloseAsOffTopicReasonTypeId DECIMAL, DuplicateOfQuestionId DECIMAL, BelongsOnBaseHostAddress TEXT)
CREATE TABLE Tags (Id DECIMAL, TagName TEXT, Count DECIMAL, ExcerptPostId DECIMAL, WikiPostId DECIMAL)
CREATE TABLE ReviewTaskResultTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE CloseAsOffTopicReasonTypes (Id DECIMAL, IsUniversal BOOLEAN, InputTitle TEXT, MarkdownInputGuidance TEXT, MarkdownPostOwnerGuidance TEXT, MarkdownPrivilegedUserGuidance TEXT, MarkdownConcensusDescription TEXT, CreationDate TIME, CreationModeratorId DECIMAL, ApprovalDate TIME, ApprovalModeratorId DECIMAL, DeactivationDate TIME, DeactivationModeratorId DECIMAL)
CREATE TABLE PostLinks (Id DECIMAL, CreationDate TIME, PostId DECIMAL, RelatedPostId DECIMAL, LinkTypeId DECIMAL)
CREATE TABLE PostNotices (Id DECIMAL, PostId DECIMAL, PostNoticeTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body TEXT, OwnerUserId DECIMAL, DeletionUserId DECIMAL)
CREATE TABLE Posts (Id DECIMAL, PostTypeId DECIMAL, AcceptedAnswerId DECIMAL, ParentId DECIMAL, CreationDate TIME, DeletionDate TIME, Score DECIMAL, ViewCount DECIMAL, Body TEXT, OwnerUserId DECIMAL, OwnerDisplayName TEXT, LastEditorUserId DECIMAL, LastEditorDisplayName TEXT, LastEditDate TIME, LastActivityDate TIME, Title TEXT, Tags TEXT, AnswerCount DECIMAL, CommentCount DECIMAL, FavoriteCount DECIMAL, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense TEXT)
CREATE TABLE PostTags (PostId DECIMAL, TagId DECIMAL)
CREATE TABLE Comments (Id DECIMAL, PostId DECIMAL, Score DECIMAL, Text TEXT, CreationDate TIME, UserDisplayName TEXT, UserId DECIMAL, ContentLicense TEXT)
CREATE TABLE VoteTypes (Id DECIMAL, Name TEXT)
CREATE TABLE ReviewTaskStates (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE SuggestedEditVotes (Id DECIMAL, SuggestedEditId DECIMAL, UserId DECIMAL, VoteTypeId DECIMAL, CreationDate TIME, TargetUserId DECIMAL, TargetRepChange DECIMAL)
CREATE TABLE PostsWithDeleted (Id DECIMAL, PostTypeId DECIMAL, AcceptedAnswerId DECIMAL, ParentId DECIMAL, CreationDate TIME, DeletionDate TIME, Score DECIMAL, ViewCount DECIMAL, Body TEXT, OwnerUserId DECIMAL, OwnerDisplayName TEXT, LastEditorUserId DECIMAL, LastEditorDisplayName TEXT, LastEditDate TIME, LastActivityDate TIME, Title TEXT, Tags TEXT, AnswerCount DECIMAL, CommentCount DECIMAL, FavoriteCount DECIMAL, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense TEXT)
CREATE TABLE TagSynonyms (Id DECIMAL, SourceTagName TEXT, TargetTagName TEXT, CreationDate TIME, OwnerUserId DECIMAL, AutoRenameCount DECIMAL, LastAutoRename TIME, Score DECIMAL, ApprovedByUserId DECIMAL, ApprovalDate TIME)
CREATE TABLE ReviewTasks (Id DECIMAL, ReviewTaskTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId DECIMAL, PostId DECIMAL, SuggestedEditId DECIMAL, CompletedByReviewTaskId DECIMAL)
CREATE TABLE FlagTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE Votes (Id DECIMAL, PostId DECIMAL, VoteTypeId DECIMAL, UserId DECIMAL, CreationDate TIME, BountyAmount DECIMAL)
CREATE TABLE PostHistory (Id DECIMAL, PostHistoryTypeId DECIMAL, PostId DECIMAL, RevisionGUID other, CreationDate TIME, UserId DECIMAL, UserDisplayName TEXT, Comment TEXT, Text TEXT, ContentLicense TEXT)
CREATE TABLE PostFeedback (Id DECIMAL, PostId DECIMAL, IsAnonymous BOOLEAN, VoteTypeId DECIMAL, CreationDate TIME)
CREATE TABLE ReviewRejectionReasons (Id DECIMAL, Name TEXT, Description TEXT, PostTypeId DECIMAL)
CREATE TABLE ReviewTaskTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE Users (Id DECIMAL, Reputation DECIMAL, CreationDate TIME, DisplayName TEXT, LastAccessDate TIME, WebsiteUrl TEXT, Location TEXT, AboutMe TEXT, Views DECIMAL, UpVotes DECIMAL, DownVotes DECIMAL, ProfileImageUrl TEXT, EmailHash TEXT, AccountId DECIMAL)
CREATE TABLE PostHistoryTypes (Id DECIMAL, Name TEXT)
CREATE TABLE PostTypes (Id DECIMAL, Name TEXT)
CREATE TABLE Badges (Id DECIMAL, UserId DECIMAL, Name TEXT, Date TIME, Class DECIMAL, TagBased BOOLEAN)
CREATE TABLE CloseReasonTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE SuggestedEdits (Id DECIMAL, PostId DECIMAL, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId DECIMAL, Comment TEXT, Text TEXT, Title TEXT, Tags TEXT, RevisionGUID other)
| Number of members based on their ages. | SELECT Age, COUNT(Age) AS "number_of_members" FROM Users GROUP BY Age ORDER BY COUNT(Age) DESC | SELECT "Age", COUNT("Age") AS "number_of_members" FROM "Users" GROUP BY "Age" ORDER BY COUNT("Age") DESC NULLS LAST | 0.112305 |
CREATE TABLE table_70729 ("Year" FLOAT, "RR class" TEXT, "RR Nos." TEXT, "Builder" TEXT, "Builder Nos." TEXT, "GWR/BR Nos." TEXT)
| Name the RR numbers of hudswell clarke and years before 1914 | SELECT "RR Nos." FROM table_70729 WHERE "Builder" = 'hudswell clarke' AND "Year" < '1914' | SELECT "RR Nos." FROM "table_70729" WHERE "Builder" = 'hudswell clarke' AND "Year" < '1914' | 0.088867 |
CREATE TABLE table_27837 ("No. in series" FLOAT, "No. in season" FLOAT, "Title" TEXT, "Directed by" TEXT, "Written by" TEXT, "Original air date" TEXT, "Production code" TEXT)
| Who direcred the episode with production code 7d03? | SELECT "Directed by" FROM table_27837 WHERE "Production code" = '7D03' | SELECT "Directed by" FROM "table_27837" WHERE "Production code" = '7D03' | 0.070313 |
CREATE TABLE table_71232 ("Capital" TEXT, "Prefecture" TEXT, "Region" TEXT, "Island" TEXT, "Pop. \\u00b9" FLOAT)
| Name the highest pop for tottori | SELECT MAX("Pop. \u00b9") FROM table_71232 WHERE "Prefecture" = 'tottori' | SELECT MAX("Pop. \u00b9") FROM "table_71232" WHERE "Prefecture" = 'tottori' | 0.073242 |
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
| provide the number of patients whose primary disease is bladder cancer/sda and year of birth is less than 2076? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.diagnosis = "BLADDER CANCER/SDA" AND demographic.dob_year < "2076" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "2076" > "demographic"."dob_year" AND "BLADDER CANCER/SDA" = "demographic"."diagnosis" | 0.157227 |
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
| 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_203_800 (id DECIMAL, "#" DECIMAL, "president" TEXT, "president's party" TEXT, "senate with" DECIMAL, "senate opposed" DECIMAL, "house with" DECIMAL, "house opposed" DECIMAL, "years served" DECIMAL, "elections won" DECIMAL)
| how many presidents were part of the whig party ? | SELECT COUNT("president") FROM table_203_800 WHERE "president's party" = 'whig' | SELECT COUNT("president") FROM "table_203_800" WHERE "president's party" = 'whig' | 0.079102 |
CREATE TABLE table_204_197 (id DECIMAL, "date" TEXT, "time" TEXT, "opponent#" TEXT, "site" TEXT, "tv" TEXT, "result" TEXT, "attendance" DECIMAL)
| what was the highest number of points scored in a single game the texas tech football team in 1993 ? | SELECT MAX("result") FROM table_204_197 | SELECT MAX("result") FROM "table_204_197" | 0.040039 |
CREATE TABLE Employees (Employee_ID INT, Role_Code CHAR, Employee_Name VARCHAR, Gender_MFU CHAR, Date_of_Birth DATETIME, Other_Details VARCHAR)
CREATE TABLE Roles (Role_Code CHAR, Role_Name VARCHAR, Role_Description VARCHAR)
CREATE TABLE Document_Locations (Document_ID INT, Location_Code CHAR, Date_in_Location_From DATETIME, Date_in_Locaton_To DATETIME)
CREATE TABLE Ref_Document_Types (Document_Type_Code CHAR, Document_Type_Name VARCHAR, Document_Type_Description VARCHAR)
CREATE TABLE Ref_Locations (Location_Code CHAR, Location_Name VARCHAR, Location_Description VARCHAR)
CREATE TABLE Documents_to_be_Destroyed (Document_ID INT, Destruction_Authorised_by_Employee_ID INT, Destroyed_by_Employee_ID INT, Planned_Destruction_Date DATETIME, Actual_Destruction_Date DATETIME, Other_Details VARCHAR)
CREATE TABLE Ref_Calendar (Calendar_Date DATETIME, Day_Number INT)
CREATE TABLE All_Documents (Document_ID INT, Date_Stored DATETIME, Document_Type_Code CHAR, Document_Name CHAR, Document_Description CHAR, Other_Details VARCHAR)
| Bar chart x axis calendar date y axis the number of calendar date, and display by the y axis from low to high. | SELECT Calendar_Date, COUNT(Calendar_Date) FROM Ref_Calendar ORDER BY COUNT(Calendar_Date) | SELECT "Calendar_Date", COUNT("Calendar_Date") FROM "Ref_Calendar" ORDER BY COUNT("Calendar_Date") NULLS FIRST | 0.107422 |
CREATE TABLE table_25820584_7 (win_loss VARCHAR, year_s_ VARCHAR)
| What was the win loss record the lady who appeard in 1969? | SELECT win_loss FROM table_25820584_7 WHERE year_s_ = "1969" | SELECT "win_loss" FROM "table_25820584_7" WHERE "1969" = "year_s_" | 0.064453 |
CREATE TABLE table_2879165_1 (ioc_code VARCHAR, country VARCHAR)
| What is the ioc code when the country is listed as Singapore? | SELECT ioc_code FROM table_2879165_1 WHERE country = "Singapore" | SELECT "ioc_code" FROM "table_2879165_1" WHERE "Singapore" = "country" | 0.068359 |
CREATE TABLE jobs (JOB_ID VARCHAR, JOB_TITLE VARCHAR, MIN_SALARY DECIMAL, MAX_SALARY DECIMAL)
CREATE TABLE departments (DEPARTMENT_ID DECIMAL, DEPARTMENT_NAME VARCHAR, MANAGER_ID DECIMAL, LOCATION_ID DECIMAL)
CREATE TABLE employees (EMPLOYEE_ID DECIMAL, FIRST_NAME VARCHAR, LAST_NAME VARCHAR, EMAIL VARCHAR, PHONE_NUMBER VARCHAR, HIRE_DATE DATE, JOB_ID VARCHAR, SALARY DECIMAL, COMMISSION_PCT DECIMAL, MANAGER_ID DECIMAL, DEPARTMENT_ID DECIMAL)
CREATE TABLE regions (REGION_ID DECIMAL, REGION_NAME VARCHAR)
CREATE TABLE countries (COUNTRY_ID VARCHAR, COUNTRY_NAME VARCHAR, REGION_ID DECIMAL)
CREATE TABLE job_history (EMPLOYEE_ID DECIMAL, START_DATE DATE, END_DATE DATE, JOB_ID VARCHAR, DEPARTMENT_ID DECIMAL)
CREATE TABLE locations (LOCATION_ID DECIMAL, STREET_ADDRESS VARCHAR, POSTAL_CODE VARCHAR, CITY VARCHAR, STATE_PROVINCE VARCHAR, COUNTRY_ID VARCHAR)
| For all employees who have the letters D or S in their first name, give me the comparison about the average of employee_id over the job_id , and group by attribute job_id by a bar chart, I want to order in asc by the y-axis. | SELECT JOB_ID, AVG(EMPLOYEE_ID) FROM employees WHERE FIRST_NAME LIKE '%D%' OR FIRST_NAME LIKE '%S%' GROUP BY JOB_ID ORDER BY AVG(EMPLOYEE_ID) | SELECT "JOB_ID", AVG("EMPLOYEE_ID") FROM "employees" WHERE "FIRST_NAME" LIKE '%D%' OR "FIRST_NAME" LIKE '%S%' GROUP BY "JOB_ID" ORDER BY AVG("EMPLOYEE_ID") NULLS FIRST | 0.163086 |
CREATE TABLE time_zone (time_zone_code TEXT, time_zone_name TEXT, hours_from_gmt INT)
CREATE TABLE airline (airline_code VARCHAR, airline_name TEXT, note TEXT)
CREATE TABLE flight_leg (flight_id INT, leg_number INT, leg_flight INT)
CREATE TABLE flight_stop (flight_id INT, stop_number INT, stop_days TEXT, stop_airport TEXT, arrival_time INT, arrival_airline TEXT, arrival_flight_number INT, departure_time INT, departure_airline TEXT, departure_flight_number INT, stop_time INT)
CREATE TABLE month (month_number INT, month_name TEXT)
CREATE TABLE flight (aircraft_code_sequence TEXT, airline_code VARCHAR, airline_flight TEXT, arrival_time INT, connections INT, departure_time INT, dual_carrier TEXT, flight_days TEXT, flight_id INT, flight_number INT, from_airport VARCHAR, meal_code TEXT, stops INT, time_elapsed INT, to_airport VARCHAR)
CREATE TABLE fare_basis (fare_basis_code TEXT, booking_class TEXT, class_type TEXT, premium TEXT, economy TEXT, discounted TEXT, night TEXT, season TEXT, basis_days TEXT)
CREATE TABLE time_interval (period TEXT, begin_time INT, end_time INT)
CREATE TABLE aircraft (aircraft_code VARCHAR, aircraft_description VARCHAR, manufacturer VARCHAR, basic_type VARCHAR, engines INT, propulsion VARCHAR, wide_body VARCHAR, wing_span INT, length INT, weight INT, capacity INT, pay_load INT, cruising_speed INT, range_miles INT, pressurized VARCHAR)
CREATE TABLE code_description (code VARCHAR, description TEXT)
CREATE TABLE restriction (restriction_code TEXT, advance_purchase INT, stopovers TEXT, saturday_stay_required TEXT, minimum_stay INT, maximum_stay INT, application TEXT, no_discounts TEXT)
CREATE TABLE dual_carrier (main_airline VARCHAR, low_flight_number INT, high_flight_number INT, dual_airline VARCHAR, service_name TEXT)
CREATE TABLE airport_service (city_code VARCHAR, airport_code VARCHAR, miles_distant INT, direction VARCHAR, minutes_distant INT)
CREATE TABLE airport (airport_code VARCHAR, airport_name TEXT, airport_location TEXT, state_code VARCHAR, country_name VARCHAR, time_zone_code VARCHAR, minimum_connect_time INT)
CREATE TABLE compartment_class (compartment VARCHAR, class_type VARCHAR)
CREATE TABLE city (city_code VARCHAR, city_name VARCHAR, state_code VARCHAR, country_name VARCHAR, time_zone_code VARCHAR)
CREATE TABLE ground_service (city_code TEXT, airport_code TEXT, transport_type TEXT, ground_fare INT)
CREATE TABLE date_day (month_number INT, day_number INT, year INT, day_name VARCHAR)
CREATE TABLE equipment_sequence (aircraft_code_sequence VARCHAR, aircraft_code VARCHAR)
CREATE TABLE class_of_service (booking_class VARCHAR, rank INT, class_description TEXT)
CREATE TABLE days (days_code VARCHAR, day_name VARCHAR)
CREATE TABLE food_service (meal_code TEXT, meal_number INT, compartment TEXT, meal_description VARCHAR)
CREATE TABLE state (state_code TEXT, state_name TEXT, country_name TEXT)
CREATE TABLE flight_fare (flight_id INT, fare_id INT)
CREATE TABLE fare (fare_id INT, from_airport VARCHAR, to_airport VARCHAR, fare_basis_code TEXT, fare_airline TEXT, restriction_code TEXT, one_direction_cost INT, round_trip_cost INT, round_trip_required VARCHAR)
| find me the earliest BOSTON departure for ATLANTA and the lastest return trip from ATLANTA so that i can be in ATLANTA the longest amount of time but return to BOSTON the same day | 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_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'ATLANTA' AND flight.arrival_time = (SELECT MIN(FLIGHTalias1.arrival_time) FROM airport_service AS AIRPORT_SERVICEalias2, airport_service AS AIRPORT_SERVICEalias3, city AS CITYalias2, city AS CITYalias3, flight AS FLIGHTalias1 WHERE CITYalias2.city_code = AIRPORT_SERVICEalias2.city_code AND CITYalias2.city_name = 'BOSTON' AND CITYalias3.city_code = AIRPORT_SERVICEalias3.city_code AND CITYalias3.city_name = 'ATLANTA' AND FLIGHTalias1.from_airport = AIRPORT_SERVICEalias2.airport_code AND FLIGHTalias1.to_airport = AIRPORT_SERVICEalias3.airport_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 = 'BOSTON' AND flight.from_airport = AIRPORT_SERVICE_0.airport_code) OR ((CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'BOSTON' AND flight.departure_time = (SELECT MAX(FLIGHTalias2.departure_time) FROM airport_service AS AIRPORT_SERVICEalias4, airport_service AS AIRPORT_SERVICEalias5, city AS CITYalias4, city AS CITYalias5, flight AS FLIGHTalias2 WHERE (CITYalias5.city_code = AIRPORT_SERVICEalias5.city_code AND CITYalias5.city_name = 'BOSTON' AND FLIGHTalias2.to_airport = AIRPORT_SERVICEalias5.airport_code AND NOT (FLIGHTalias2.arrival_time < FLIGHTalias2.departure_time)) AND CITYalias4.city_code = AIRPORT_SERVICEalias4.city_code AND CITYalias4.city_name = 'ATLANTA' AND FLIGHTalias2.from_airport = AIRPORT_SERVICEalias4.airport_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 = 'ATLANTA' AND flight.from_airport = AIRPORT_SERVICE_0.airport_code) | WITH "_u_0" AS (SELECT MIN("FLIGHTalias1"."arrival_time") FROM "airport_service" AS "AIRPORT_SERVICEalias2" JOIN "city" AS "CITYalias2" ON "AIRPORT_SERVICEalias2"."city_code" = "CITYalias2"."city_code" AND "CITYalias2"."city_name" = 'BOSTON' JOIN "flight" AS "FLIGHTalias1" ON "AIRPORT_SERVICEalias2"."airport_code" = "FLIGHTalias1"."from_airport" JOIN "airport_service" AS "AIRPORT_SERVICEalias3" ON "AIRPORT_SERVICEalias3"."airport_code" = "FLIGHTalias1"."to_airport" JOIN "city" AS "CITYalias3" ON "AIRPORT_SERVICEalias3"."city_code" = "CITYalias3"."city_code" AND "CITYalias3"."city_name" = 'ATLANTA'), "_u_12" AS (SELECT MAX("FLIGHTalias2"."departure_time") FROM "airport_service" AS "AIRPORT_SERVICEalias4" JOIN "city" AS "CITYalias4" ON "AIRPORT_SERVICEalias4"."city_code" = "CITYalias4"."city_code" AND "CITYalias4"."city_name" = 'ATLANTA' JOIN "flight" AS "FLIGHTalias2" ON "AIRPORT_SERVICEalias4"."airport_code" = "FLIGHTalias2"."from_airport" AND "FLIGHTalias2"."arrival_time" >= "FLIGHTalias2"."departure_time" JOIN "airport_service" AS "AIRPORT_SERVICEalias5" ON "AIRPORT_SERVICEalias5"."airport_code" = "FLIGHTalias2"."to_airport" JOIN "city" AS "CITYalias5" ON "AIRPORT_SERVICEalias5"."city_code" = "CITYalias5"."city_code" AND "CITYalias5"."city_name" = 'BOSTON') SELECT DISTINCT "flight"."flight_id" FROM "airport_service" AS "AIRPORT_SERVICE_0" JOIN "city" AS "CITY_0" ON "AIRPORT_SERVICE_0"."city_code" = "CITY_0"."city_code" AND ("CITY_0"."city_name" = 'ATLANTA' OR "CITY_0"."city_name" = 'BOSTON') JOIN "flight" ON "AIRPORT_SERVICE_0"."airport_code" = "flight"."from_airport" JOIN "city" AS "CITY_1" ON ("CITY_0"."city_name" = 'ATLANTA' OR "CITY_1"."city_name" = 'ATLANTA') AND ("CITY_0"."city_name" = 'BOSTON' OR "CITY_1"."city_name" = 'BOSTON') AND ("CITY_1"."city_name" = 'ATLANTA' OR "CITY_1"."city_name" = 'BOSTON') JOIN "_u_12" AS "_u_10" ON "CITY_0"."city_name" = 'BOSTON' OR "_u_10"."" = "flight"."departure_time" JOIN "_u_0" AS "_u_11" ON "CITY_0"."city_name" = 'ATLANTA' OR "_u_11"."" = "flight"."arrival_time" JOIN "_u_0" AS "_u_4" ON "_u_4"."" = "flight"."arrival_time" CROSS JOIN "_u_12" AS "_u_5" JOIN "airport_service" AS "AIRPORT_SERVICE_1" ON "AIRPORT_SERVICE_1"."airport_code" = "flight"."to_airport" AND "AIRPORT_SERVICE_1"."city_code" = "CITY_1"."city_code" JOIN "_u_0" AS "_u_1" ON "CITY_1"."city_name" = 'BOSTON' OR "_u_1"."" = "flight"."arrival_time" JOIN "_u_12" AS "_u_3" ON "CITY_1"."city_name" = 'ATLANTA' OR "_u_3"."" = "flight"."departure_time" | 2.435547 |
CREATE TABLE d_icd_procedures (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE diagnoses_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE procedures_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE labevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE prescriptions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, startdate TIME, enddate TIME, drug TEXT, dose_val_rx TEXT, dose_unit_rx TEXT, route TEXT)
CREATE TABLE transfers (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, eventtype TEXT, careunit TEXT, wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE icustays (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, first_careunit TEXT, last_careunit TEXT, first_wardid DECIMAL, last_wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE d_labitems (row_id DECIMAL, itemid DECIMAL, label TEXT)
CREATE TABLE patients (row_id DECIMAL, subject_id DECIMAL, gender TEXT, dob TIME, dod TIME)
CREATE TABLE inputevents_cv (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, amount DECIMAL)
CREATE TABLE admissions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, admittime TIME, dischtime TIME, admission_type TEXT, admission_location TEXT, discharge_location TEXT, insurance TEXT, language TEXT, marital_status TEXT, ethnicity TEXT, age DECIMAL)
CREATE TABLE chartevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE microbiologyevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, charttime TIME, spec_type_desc TEXT, org_name TEXT)
CREATE TABLE cost (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, event_type TEXT, event_id DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE d_icd_diagnoses (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE outputevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, value DECIMAL)
CREATE TABLE d_items (row_id DECIMAL, itemid DECIMAL, label TEXT, linksto TEXT)
| tell me the total amount of input that patient 5828 had received today? | 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 = 5828)) AND DATETIME(inputevents_cv.charttime, 'start of day') = DATETIME(CURRENT_TIME(), 'start of day', '-0 day') | WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 5828 GROUP BY "hadm_id"), "_u_1" AS (SELECT "icustays"."icustay_id" FROM "icustays" LEFT JOIN "_u_0" AS "_u_0" ON "_u_0"."" = "icustays"."hadm_id" WHERE NOT "_u_0"."" IS NULL GROUP BY "icustay_id") SELECT SUM("inputevents_cv"."amount") FROM "inputevents_cv" LEFT JOIN "_u_1" AS "_u_1" ON "_u_1"."" = "inputevents_cv"."icustay_id" WHERE DATETIME("inputevents_cv"."charttime", 'start of day') = DATETIME(CURRENT_TIME(), 'start of day', '-0 day') AND NOT "_u_1"."" IS NULL | 0.553711 |
CREATE TABLE customers (customer_id DECIMAL, customer_details TEXT)
CREATE TABLE customer_policies (policy_id DECIMAL, customer_id DECIMAL, policy_type_code TEXT, start_date TIME, end_date TIME)
CREATE TABLE payments (payment_id DECIMAL, settlement_id DECIMAL, payment_method_code TEXT, date_payment_made TIME, amount_payment DECIMAL)
CREATE TABLE settlements (settlement_id DECIMAL, claim_id DECIMAL, date_claim_made TIME, date_claim_settled TIME, amount_claimed DECIMAL, amount_settled DECIMAL, customer_policy_id DECIMAL)
CREATE TABLE claims (claim_id DECIMAL, policy_id DECIMAL, date_claim_made TIME, date_claim_settled TIME, amount_claimed DECIMAL, amount_settled DECIMAL)
| Find the claim id and the number of settlements made for the claim with the most recent settlement date. | SELECT COUNT(*), T1.claim_id FROM claims AS T1 JOIN settlements AS T2 ON T1.claim_id = T2.claim_id GROUP BY T1.claim_id ORDER BY T1.date_claim_settled DESC LIMIT 1 | SELECT COUNT(*), "T1"."claim_id" FROM "claims" AS "T1" JOIN "settlements" AS "T2" ON "T1"."claim_id" = "T2"."claim_id" GROUP BY "T1"."claim_id" ORDER BY "T1"."date_claim_settled" DESC NULLS LAST LIMIT 1 | 0.197266 |
CREATE TABLE table_name_92 (player VARCHAR, team VARCHAR)
| Who plays for the chicago bulls? | SELECT player FROM table_name_92 WHERE team = "chicago bulls" | SELECT "player" FROM "table_name_92" WHERE "chicago bulls" = "team" | 0.06543 |
CREATE TABLE transfers (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, eventtype TEXT, careunit TEXT, wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE inputevents_cv (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, amount DECIMAL)
CREATE TABLE diagnoses_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE d_icd_diagnoses (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE d_icd_procedures (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE prescriptions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, startdate TIME, enddate TIME, drug TEXT, dose_val_rx TEXT, dose_unit_rx TEXT, route TEXT)
CREATE TABLE labevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE patients (row_id DECIMAL, subject_id DECIMAL, gender TEXT, dob TIME, dod TIME)
CREATE TABLE cost (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, event_type TEXT, event_id DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE microbiologyevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, charttime TIME, spec_type_desc TEXT, org_name TEXT)
CREATE TABLE icustays (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, first_careunit TEXT, last_careunit TEXT, first_wardid DECIMAL, last_wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE d_labitems (row_id DECIMAL, itemid DECIMAL, label TEXT)
CREATE TABLE chartevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE outputevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, value DECIMAL)
CREATE TABLE procedures_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE admissions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, admittime TIME, dischtime TIME, admission_type TEXT, admission_location TEXT, discharge_location TEXT, insurance TEXT, language TEXT, marital_status TEXT, ethnicity TEXT, age DECIMAL)
CREATE TABLE d_items (row_id DECIMAL, itemid DECIMAL, label TEXT, linksto TEXT)
| calculate the four year survival rate among the patients who were prescribed clopidogrel bisulfate after they were diagnosed with kidney laceration-open. | SELECT SUM(CASE WHEN patients.dod IS NULL THEN 1 WHEN STRFTIME('%j', patients.dod) - STRFTIME('%j', t4.charttime) > 4 * 365 THEN 1 ELSE 0 END) * 100 / COUNT(*) FROM (SELECT t2.subject_id, t2.charttime FROM (SELECT t1.subject_id, t1.charttime FROM (SELECT admissions.subject_id, diagnoses_icd.charttime FROM diagnoses_icd JOIN admissions ON diagnoses_icd.hadm_id = admissions.hadm_id WHERE diagnoses_icd.icd9_code = (SELECT d_icd_diagnoses.icd9_code FROM d_icd_diagnoses WHERE d_icd_diagnoses.short_title = 'kidney laceration-open') GROUP BY admissions.subject_id HAVING MIN(diagnoses_icd.charttime) = diagnoses_icd.charttime) AS t1 WHERE STRFTIME('%j', CURRENT_TIME()) - STRFTIME('%j', t1.charttime) > 4 * 365) AS t2 JOIN (SELECT admissions.subject_id, prescriptions.startdate FROM prescriptions JOIN admissions ON prescriptions.hadm_id = admissions.hadm_id WHERE prescriptions.drug = 'clopidogrel bisulfate') AS t3 ON t2.subject_id = t3.subject_id WHERE t2.charttime < t3.startdate) AS t4 JOIN patients ON t4.subject_id = patients.subject_id | WITH "t1" AS (SELECT "admissions"."subject_id", "diagnoses_icd"."charttime" FROM "diagnoses_icd" JOIN "d_icd_diagnoses" ON "d_icd_diagnoses"."icd9_code" = "diagnoses_icd"."icd9_code" AND "d_icd_diagnoses"."short_title" = 'kidney laceration-open' JOIN "admissions" ON "admissions"."hadm_id" = "diagnoses_icd"."hadm_id" GROUP BY "admissions"."subject_id" HAVING "diagnoses_icd"."charttime" = MIN("diagnoses_icd"."charttime")), "t3" AS (SELECT "admissions"."subject_id", "prescriptions"."startdate" FROM "prescriptions" JOIN "admissions" ON "admissions"."hadm_id" = "prescriptions"."hadm_id" WHERE "prescriptions"."drug" = 'clopidogrel bisulfate') SELECT SUM(CASE WHEN "patients"."dod" IS NULL THEN 1 WHEN STRFTIME('%j', "patients"."dod") - STRFTIME('%j', "t1"."charttime") > 1460 THEN 1 ELSE 0 END) * 100 / NULLIF(COUNT(*), 0) FROM "t1" AS "t1" JOIN "t3" AS "t3" ON "t1"."charttime" < "t3"."startdate" AND "t1"."subject_id" = "t3"."subject_id" JOIN "patients" ON "patients"."subject_id" = "t1"."subject_id" WHERE STRFTIME('%j', CURRENT_TIME()) - STRFTIME('%j', "t1"."charttime") > 1460 | 1.057617 |
CREATE TABLE allergy (allergyid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, allergyname TEXT, allergytime TIME)
CREATE TABLE vitalperiodic (vitalperiodicid DECIMAL, patientunitstayid DECIMAL, temperature DECIMAL, sao2 DECIMAL, heartrate DECIMAL, respiration DECIMAL, systemicsystolic DECIMAL, systemicdiastolic DECIMAL, systemicmean DECIMAL, observationtime TIME)
CREATE TABLE lab (labid DECIMAL, patientunitstayid DECIMAL, labname TEXT, labresult DECIMAL, labresulttime TIME)
CREATE TABLE medication (medicationid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, dosage TEXT, routeadmin TEXT, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE patient (uniquepid TEXT, patienthealthsystemstayid DECIMAL, patientunitstayid DECIMAL, gender TEXT, age TEXT, ethnicity TEXT, hospitalid DECIMAL, wardid DECIMAL, admissionheight DECIMAL, admissionweight DECIMAL, dischargeweight DECIMAL, hospitaladmittime TIME, hospitaladmitsource TEXT, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus TEXT)
CREATE TABLE treatment (treatmentid DECIMAL, patientunitstayid DECIMAL, treatmentname TEXT, treatmenttime TIME)
CREATE TABLE cost (costid DECIMAL, uniquepid TEXT, patienthealthsystemstayid DECIMAL, eventtype TEXT, eventid DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE diagnosis (diagnosisid DECIMAL, patientunitstayid DECIMAL, diagnosisname TEXT, diagnosistime TIME, icd9code TEXT)
CREATE TABLE microlab (microlabid DECIMAL, patientunitstayid DECIMAL, culturesite TEXT, organism TEXT, culturetakentime TIME)
CREATE TABLE intakeoutput (intakeoutputid DECIMAL, patientunitstayid DECIMAL, cellpath TEXT, celllabel TEXT, cellvaluenumeric DECIMAL, intakeoutputtime TIME)
| since 70 months ago has the sao2 of patient 004-49903 been normal? | SELECT COUNT(*) > 0 FROM vitalperiodic WHERE vitalperiodic.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '004-49903')) AND vitalperiodic.sao2 BETWEEN sao2_lower AND sao2_upper AND NOT vitalperiodic.sao2 IS NULL AND DATETIME(vitalperiodic.observationtime) >= DATETIME(CURRENT_TIME(), '-70 month') | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '004-49903' GROUP BY "patienthealthsystemstayid"), "_u_1" AS (SELECT "patient"."patientunitstayid" FROM "patient" LEFT JOIN "_u_0" AS "_u_0" ON "_u_0"."" = "patient"."patienthealthsystemstayid" WHERE NOT "_u_0"."" IS NULL GROUP BY "patientunitstayid") SELECT COUNT(*) > 0 FROM "vitalperiodic" LEFT JOIN "_u_1" AS "_u_1" ON "_u_1"."" = "vitalperiodic"."patientunitstayid" WHERE "sao2_lower" <= "vitalperiodic"."sao2" AND "sao2_upper" >= "vitalperiodic"."sao2" AND DATETIME("vitalperiodic"."observationtime") >= DATETIME(CURRENT_TIME(), '-70 month') AND NOT "_u_1"."" IS NULL AND NOT "vitalperiodic"."sao2" IS NULL | 0.701172 |
Subsets and Splits