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CREATE TABLE news_report (journalist_ID INT, Event_ID INT, Work_Type TEXT)
CREATE TABLE event (Event_ID INT, Date TEXT, Venue TEXT, Name TEXT, Event_Attendance INT)
CREATE TABLE journalist (journalist_ID INT, Name TEXT, Nationality TEXT, Age TEXT, Years_working INT)
| Bar chart of sum age from each nationality, and display by the x axis from high to low. | SELECT Nationality, SUM(Age) FROM journalist GROUP BY Nationality ORDER BY Nationality DESC | SELECT "Nationality", SUM("Age") FROM "journalist" GROUP BY "Nationality" ORDER BY "Nationality" DESC NULLS LAST | 0.109375 |
CREATE TABLE table_38216 ("Date" TEXT, "Venue" TEXT, "Score" TEXT, "Result" TEXT, "Competition" TEXT)
| Which competition was in Dubai? | SELECT "Competition" FROM table_38216 WHERE "Venue" = 'dubai' | SELECT "Competition" FROM "table_38216" WHERE "Venue" = 'dubai' | 0.061523 |
CREATE TABLE people (People_ID INT, Sex TEXT, Name TEXT, Date_of_Birth TEXT, Height FLOAT, Weight FLOAT)
CREATE TABLE candidate (Candidate_ID INT, People_ID INT, Poll_Source TEXT, Date TEXT, Support_rate FLOAT, Consider_rate FLOAT, Oppose_rate FLOAT, Unsure_rate FLOAT)
| Return a scatter chart about the correlation between Height and Weight , and group by attribute Sex. | SELECT Height, Weight FROM people GROUP BY Sex | SELECT "Height", "Weight" FROM "people" GROUP BY "Sex" | 0.052734 |
CREATE TABLE table_name_97 (score VARCHAR, save VARCHAR)
| What is the score of the match with a save postponed rescheduled for June 24? | SELECT score FROM table_name_97 WHERE save = "postponed rescheduled for june 24" | SELECT "score" FROM "table_name_97" WHERE "postponed rescheduled for june 24" = "save" | 0.083984 |
CREATE TABLE university (School_ID INT, School TEXT, Location TEXT, Founded FLOAT, Affiliation TEXT, Enrollment FLOAT, Nickname TEXT, Primary_conference TEXT)
CREATE TABLE basketball_match (Team_ID INT, School_ID INT, Team_Name TEXT, ACC_Regular_Season TEXT, ACC_Percent TEXT, ACC_Home TEXT, ACC_Road TEXT, All_Games TEXT, All_Games_Percent INT, All_Home TEXT, All_Road TEXT, All_Neutral TEXT)
| Show me about the distribution of ACC_Road and the average of School_ID , and group by attribute ACC_Road in a bar chart, I want to display Y in desc order. | SELECT ACC_Road, AVG(School_ID) FROM basketball_match GROUP BY ACC_Road ORDER BY AVG(School_ID) DESC | SELECT "ACC_Road", AVG("School_ID") FROM "basketball_match" GROUP BY "ACC_Road" ORDER BY AVG("School_ID") DESC NULLS LAST | 0.118164 |
CREATE TABLE table_name_94 (player VARCHAR, college VARCHAR)
| What player attended Graceland College? | SELECT player FROM table_name_94 WHERE college = "graceland" | SELECT "player" FROM "table_name_94" WHERE "college" = "graceland" | 0.064453 |
CREATE TABLE table_train_72 ("id" INT, "extracorporeal_membrane_oxygenation_ecmo_cannulation" BOOLEAN, "heart_disease" BOOLEAN, "meningitis_or_encephalitis" BOOLEAN, "sepsis" BOOLEAN, "cancer" BOOLEAN, "prisoners" BOOLEAN, "NOUSE" FLOAT)
| history of cardiac arrest. | SELECT * FROM table_train_72 WHERE prisoners = 1 | SELECT * FROM "table_train_72" WHERE "prisoners" = 1 | 0.050781 |
CREATE TABLE table_47831 ("Round" FLOAT, "Pick #" FLOAT, "Player" TEXT, "Position" TEXT, "College" TEXT)
| What was the pick # for round 11? | SELECT "Pick #" FROM table_47831 WHERE "Round" = '11' | SELECT "Pick #" FROM "table_47831" WHERE "Round" = '11' | 0.053711 |
CREATE TABLE table_203_773 (id DECIMAL, "season" DECIMAL, "network" TEXT, "play-by-play" TEXT, "color commentator ( s ) " TEXT, "sideline reporter ( s ) " TEXT)
| who did play by play before ray scott ? | SELECT "play-by-play" FROM table_203_773 WHERE id = (SELECT id FROM table_203_773 WHERE "play-by-play" = 'ray scott') - 1 | SELECT "play-by-play" FROM "table_203_773" WHERE "id" = (SELECT "id" FROM "table_203_773" WHERE "play-by-play" = 'ray scott') - 1 | 0.125977 |
CREATE TABLE table_23046 ("Week #" TEXT, "Theme" TEXT, "Song choice" TEXT, "Original artist" TEXT, "Order #" TEXT, "Result" TEXT)
| Name the order number for 1960s | SELECT "Order #" FROM table_23046 WHERE "Theme" = '1960s' | SELECT "Order #" FROM "table_23046" WHERE "Theme" = '1960s' | 0.057617 |
CREATE TABLE table_name_51 (player VARCHAR, country VARCHAR, place VARCHAR)
| Which player from United States is in place of t6? | SELECT player FROM table_name_51 WHERE country = "united states" AND place = "t6" | SELECT "player" FROM "table_name_51" WHERE "country" = "united states" AND "place" = "t6" | 0.086914 |
CREATE TABLE table_name_51 (february INT, record VARCHAR, game VARCHAR)
| What is listed as the highest February with a Record of 34-14-4 and Game that's larger than 52? | SELECT MAX(february) FROM table_name_51 WHERE record = "34-14-4" AND game > 52 | SELECT MAX("february") FROM "table_name_51" WHERE "34-14-4" = "record" AND "game" > 52 | 0.083984 |
CREATE TABLE table_203_675 (id DECIMAL, "match" DECIMAL, "date" TEXT, "round" TEXT, "home/away" TEXT, "opponent team" TEXT, "score" TEXT, "scorers" TEXT)
| what was the next date after 20 february 2008 ? | SELECT "date" FROM table_203_675 WHERE "date" > (SELECT "date" FROM table_203_675 WHERE "date" = '20 february 2008') | SELECT "date" FROM "table_203_675" WHERE "date" > (SELECT "date" FROM "table_203_675" WHERE "date" = '20 february 2008') | 0.117188 |
CREATE TABLE table_name_1 (partial_thromboplastin_time VARCHAR, condition VARCHAR, prothrombin_time VARCHAR, bleeding_time VARCHAR)
| Which Partial thromboplastin time has a Prothrombin time of prolonged, and a Bleeding time of unaffected, and a Condition of vitamin k deficiency or warfarin? Question 6 | SELECT partial_thromboplastin_time FROM table_name_1 WHERE prothrombin_time = "prolonged" AND bleeding_time = "unaffected" AND condition = "vitamin k deficiency or warfarin" | SELECT "partial_thromboplastin_time" FROM "table_name_1" WHERE "bleeding_time" = "unaffected" AND "condition" = "vitamin k deficiency or warfarin" AND "prolonged" = "prothrombin_time" | 0.178711 |
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 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)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid 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 subject name kelly gallardo? | SELECT diagnoses.short_title FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.name = "Kelly Gallardo" | SELECT "diagnoses"."short_title" FROM "demographic" JOIN "diagnoses" ON "demographic"."hadm_id" = "diagnoses"."hadm_id" WHERE "Kelly Gallardo" = "demographic"."name" | 0.161133 |
CREATE TABLE table_10361625_1 (round INT, overall VARCHAR)
| What is the greatest round of overall 83? | SELECT MAX(round) FROM table_10361625_1 WHERE overall = 83 | SELECT MAX("round") FROM "table_10361625_1" WHERE "overall" = 83 | 0.0625 |
CREATE TABLE table_name_30 (away_team VARCHAR, venue VARCHAR)
| What did the team score while away in moorabbin oval? | SELECT away_team AS score FROM table_name_30 WHERE venue = "moorabbin oval" | SELECT "away_team" AS "score" FROM "table_name_30" WHERE "moorabbin oval" = "venue" | 0.081055 |
CREATE TABLE table_28359 ("Road race" TEXT, "Distance" TEXT, "Location" TEXT, "Country" TEXT, "Month held" TEXT)
| In which country was the xiamen international marathon? | SELECT "Country" FROM table_28359 WHERE "Road race" = 'Xiamen International Marathon' | SELECT "Country" FROM "table_28359" WHERE "Road race" = 'Xiamen International Marathon' | 0.084961 |
CREATE TABLE table_201_28 (id DECIMAL, "name" TEXT, "year" DECIMAL, "credited with" TEXT, "publisher" TEXT)
| which game is credited with a creative director and warner bros. interactive entertainment as their creative director ? | SELECT "name" FROM table_201_28 WHERE "credited with" = 'creative director' AND "publisher" = 'warner bros. interactive entertainment' | SELECT "name" FROM "table_201_28" WHERE "credited with" = 'creative director' AND "publisher" = 'warner bros. interactive entertainment' | 0.132813 |
CREATE TABLE table_20440 ("Engine type" TEXT, "Scenario" TEXT, "SFC in lb/ ( lbf\\u00b7h ) " TEXT, "SFC in g/ ( kN\\u00b7s ) " TEXT, "Specific impulse ( s ) " FLOAT, "Effective exhaust velocity ( m/s ) " FLOAT)
| What is the SFC when the specific impulse is 453? | SELECT "SFC in g/(kN\u00b7s)" FROM table_20440 WHERE "Specific impulse (s)" = '453' | SELECT "SFC in g/(kN\u00b7s)" FROM "table_20440" WHERE "Specific impulse (s)" = '453' | 0.083008 |
CREATE TABLE table_38662 ("District" TEXT, "Incumbent" TEXT, "Party" TEXT, "Elected" FLOAT, "Status" TEXT)
| Which party has Ken Cuccinelli as an incumbent? | SELECT "Party" FROM table_38662 WHERE "Incumbent" = 'ken cuccinelli' | SELECT "Party" FROM "table_38662" WHERE "Incumbent" = 'ken cuccinelli' | 0.068359 |
CREATE TABLE table_25771 ("No. in series" FLOAT, "No. in season" FLOAT, "Title" TEXT, "Directed by" TEXT, "Written by" TEXT, "Original air date" TEXT, "Production code" TEXT, "U.S. viewers ( millions ) " TEXT)
| What's the production code of the episode seen by 7.49 million people in the US? | SELECT "Production code" FROM table_25771 WHERE "U.S. viewers (millions)" = '7.49' | SELECT "Production code" FROM "table_25771" WHERE "U.S. viewers (millions)" = '7.49' | 0.082031 |
CREATE TABLE table_23186738_9 (game INT, date VARCHAR)
| Name the least game for march 20 | SELECT MIN(game) FROM table_23186738_9 WHERE date = "March 20" | SELECT MIN("game") FROM "table_23186738_9" WHERE "March 20" = "date" | 0.066406 |
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 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)
| provide the number of patients whose marital status is single and lab test name is carboxyhemoglobin? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.marital_status = "SINGLE" AND lab.label = "Carboxyhemoglobin" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "lab" ON "Carboxyhemoglobin" = "lab"."label" AND "demographic"."hadm_id" = "lab"."hadm_id" WHERE "SINGLE" = "demographic"."marital_status" | 0.207031 |
CREATE TABLE table_57126 ("Date" TEXT, "Visitor" TEXT, "Score" TEXT, "Home" TEXT, "Leading scorer" TEXT, "Attendance" FLOAT, "Record" TEXT)
| Name the total number of attendance when the cavaliers visited | SELECT COUNT("Attendance") FROM table_57126 WHERE "Visitor" = 'cavaliers' | SELECT COUNT("Attendance") FROM "table_57126" WHERE "Visitor" = 'cavaliers' | 0.073242 |
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 code_description (code VARCHAR, description TEXT)
CREATE TABLE month (month_number INT, month_name TEXT)
CREATE TABLE airline (airline_code VARCHAR, airline_name TEXT, note TEXT)
CREATE TABLE equipment_sequence (aircraft_code_sequence VARCHAR, aircraft_code VARCHAR)
CREATE TABLE dual_carrier (main_airline VARCHAR, low_flight_number INT, high_flight_number INT, dual_airline VARCHAR, service_name TEXT)
CREATE TABLE time_zone (time_zone_code TEXT, time_zone_name TEXT, hours_from_gmt INT)
CREATE TABLE time_interval (period TEXT, begin_time INT, end_time INT)
CREATE TABLE ground_service (city_code TEXT, airport_code TEXT, transport_type TEXT, ground_fare 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 flight_leg (flight_id INT, leg_number INT, leg_flight INT)
CREATE TABLE date_day (month_number INT, day_number INT, year INT, day_name 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 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 compartment_class (compartment VARCHAR, class_type VARCHAR)
CREATE TABLE days (days_code VARCHAR, 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 food_service (meal_code TEXT, meal_number INT, compartment TEXT, meal_description 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 class_of_service (booking_class VARCHAR, rank INT, class_description TEXT)
CREATE TABLE city (city_code VARCHAR, city_name VARCHAR, state_code VARCHAR, country_name VARCHAR, time_zone_code VARCHAR)
CREATE TABLE state (state_code TEXT, state_name TEXT, country_name TEXT)
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 airport (airport_code VARCHAR, airport_name TEXT, airport_location TEXT, state_code VARCHAR, country_name VARCHAR, time_zone_code VARCHAR, minimum_connect_time INT)
| does CO fly from DENVER to SAN FRANCISCO | SELECT DISTINCT airline.airline_code FROM airline, airport_service AS AIRPORT_SERVICE_0, airport_service AS AIRPORT_SERVICE_1, city AS CITY_0, city AS CITY_1, flight WHERE ((flight.airline_code = 'CO') AND CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'SAN FRANCISCO' AND flight.to_airport = AIRPORT_SERVICE_1.airport_code) AND CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'DENVER' AND flight.airline_code = airline.airline_code AND flight.from_airport = AIRPORT_SERVICE_0.airport_code | SELECT DISTINCT "airline"."airline_code" FROM "airline" JOIN "flight" ON "airline"."airline_code" = "flight"."airline_code" AND "flight"."airline_code" = 'CO' JOIN "airport_service" AS "AIRPORT_SERVICE_0" 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 "city" AS "CITY_0" ON "AIRPORT_SERVICE_0"."city_code" = "CITY_0"."city_code" AND "CITY_0"."city_name" = 'DENVER' JOIN "city" AS "CITY_1" ON "AIRPORT_SERVICE_1"."city_code" = "CITY_1"."city_code" AND "CITY_1"."city_name" = 'SAN FRANCISCO' | 0.604492 |
CREATE TABLE table_train_30 ("id" INT, "serum_potassium" FLOAT, "hyperkalemia" BOOLEAN, "renal_disease" BOOLEAN, "cardiopulmonary_resuscitation" BOOLEAN, "receiving_vasopressor" BOOLEAN, "age" FLOAT, "NOUSE" FLOAT)
| dialysis dependent renal failure; | SELECT * FROM table_train_30 WHERE renal_disease = 1 | SELECT * FROM "table_train_30" WHERE "renal_disease" = 1 | 0.054688 |
CREATE TABLE table_5560 ("Election" TEXT, "Date" TEXT, "Mayor" TEXT, "Ward seats" TEXT, "Votes" TEXT)
| How many votes were there on November 10? | SELECT "Votes" FROM table_5560 WHERE "Date" = 'november 10' | SELECT "Votes" FROM "table_5560" WHERE "Date" = 'november 10' | 0.05957 |
CREATE TABLE Student (StuID INT, LName VARCHAR, Fname VARCHAR, Age INT, Sex VARCHAR, Major INT, Advisor INT, city_code VARCHAR)
CREATE TABLE Faculty (FacID INT, Lname VARCHAR, Fname VARCHAR, Rank VARCHAR, Sex VARCHAR, Phone INT, Room VARCHAR, Building VARCHAR)
CREATE TABLE Participates_in (stuid INT, actid INT)
CREATE TABLE Activity (actid INT, activity_name VARCHAR)
CREATE TABLE Faculty_Participates_in (FacID INT, actid INT)
| Show the number of faculty for each rank in a bar chart, and sort from high to low by the total number. | SELECT Rank, COUNT(Rank) FROM Faculty GROUP BY Rank ORDER BY COUNT(Rank) DESC | SELECT "Rank", COUNT("Rank") FROM "Faculty" GROUP BY "Rank" ORDER BY COUNT("Rank") DESC NULLS LAST | 0.095703 |
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)
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)
| provide the number of patients whose diagnoses long title is cardiac complications, not elsewhere classified and drug route is dwell? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE diagnoses.long_title = "Cardiac complications, not elsewhere classified" AND prescriptions.route = "DWELL" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "Cardiac complications, not elsewhere classified" = "diagnoses"."long_title" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" JOIN "prescriptions" ON "DWELL" = "prescriptions"."route" AND "demographic"."hadm_id" = "prescriptions"."hadm_id" | 0.323242 |
CREATE TABLE student (id TEXT, name TEXT, dept_name TEXT, tot_cred DECIMAL)
CREATE TABLE classroom (building TEXT, room_number TEXT, capacity DECIMAL)
CREATE TABLE instructor (id TEXT, name TEXT, dept_name TEXT, salary DECIMAL)
CREATE TABLE teaches (id TEXT, course_id TEXT, sec_id TEXT, semester TEXT, year DECIMAL)
CREATE TABLE time_slot (time_slot_id TEXT, day TEXT, start_hr DECIMAL, start_min DECIMAL, end_hr DECIMAL, end_min DECIMAL)
CREATE TABLE section (course_id TEXT, sec_id TEXT, semester TEXT, year DECIMAL, building TEXT, room_number TEXT, time_slot_id TEXT)
CREATE TABLE prereq (course_id TEXT, prereq_id TEXT)
CREATE TABLE course (course_id TEXT, title TEXT, dept_name TEXT, credits DECIMAL)
CREATE TABLE advisor (s_id TEXT, i_id TEXT)
CREATE TABLE takes (id TEXT, course_id TEXT, sec_id TEXT, semester TEXT, year DECIMAL, grade TEXT)
CREATE TABLE department (dept_name TEXT, building TEXT, budget DECIMAL)
| What is the title of the course that was offered at building Chandler during the fall semester in the year of 2010? | SELECT T1.title FROM course AS T1 JOIN section AS T2 ON T1.course_id = T2.course_id WHERE building = 'Chandler' AND semester = 'Fall' AND year = 2010 | SELECT "T1"."title" FROM "course" AS "T1" JOIN "section" AS "T2" ON "T1"."course_id" = "T2"."course_id" WHERE "building" = 'Chandler' AND "semester" = 'Fall' AND "year" = 2010 | 0.170898 |
CREATE TABLE Products (Code INT, Name VARCHAR, Price DECIMAL, Manufacturer INT)
CREATE TABLE Manufacturers (Code INT, Name VARCHAR, Headquarter VARCHAR, Founder VARCHAR, Revenue FLOAT)
| For those records from the products and each product's manufacturer, return a scatter chart about the correlation between price and code , and group by attribute name. | SELECT T1.Price, T1.Code FROM Products AS T1 JOIN Manufacturers AS T2 ON T1.Manufacturer = T2.Code GROUP BY Name | SELECT "T1"."Price", "T1"."Code" FROM "Products" AS "T1" JOIN "Manufacturers" AS "T2" ON "T1"."Manufacturer" = "T2"."Code" GROUP BY "Name" | 0.134766 |
CREATE TABLE Parties (Party_ID INT, Party_Details VARCHAR)
CREATE TABLE Channels (Channel_ID INT, Other_Details VARCHAR)
CREATE TABLE Addresses (Address_ID INT, address_details VARCHAR)
CREATE TABLE Events (Event_ID INT, Address_ID INT, Channel_ID INT, Event_Type_Code CHAR, Finance_ID INT, Location_ID INT)
CREATE TABLE Locations (Location_ID INT, Other_Details VARCHAR)
CREATE TABLE Parties_in_Events (Party_ID INT, Event_ID INT, Role_Code CHAR)
CREATE TABLE Products (Product_ID INT, Product_Type_Code CHAR, Product_Name VARCHAR, Product_Price DECIMAL)
CREATE TABLE Products_in_Events (Product_in_Event_ID INT, Event_ID INT, Product_ID INT)
CREATE TABLE Assets (Asset_ID INT, Other_Details VARCHAR)
CREATE TABLE Finances (Finance_ID INT, Other_Details VARCHAR)
CREATE TABLE Agreements (Document_ID INT, Event_ID INT)
CREATE TABLE Assets_in_Events (Asset_ID INT, Event_ID INT)
| What is the total number of different types of codes of products? | SELECT Product_Type_Code, COUNT(Product_Type_Code) FROM Products GROUP BY Product_Type_Code | SELECT "Product_Type_Code", COUNT("Product_Type_Code") FROM "Products" GROUP BY "Product_Type_Code" | 0.09668 |
CREATE TABLE item (title VARCHAR, i_id VARCHAR)
CREATE TABLE review (i_id VARCHAR, rating INT)
| Find the name and id of the item with the highest average rating. | SELECT T1.title, T1.i_id FROM item AS T1 JOIN review AS T2 ON T1.i_id = T2.i_id GROUP BY T2.i_id ORDER BY AVG(T2.rating) DESC LIMIT 1 | SELECT "T1"."title", "T1"."i_id" FROM "item" AS "T1" JOIN "review" AS "T2" ON "T1"."i_id" = "T2"."i_id" GROUP BY "T2"."i_id" ORDER BY AVG("T2"."rating") DESC NULLS LAST LIMIT 1 | 0.171875 |
CREATE TABLE table_21623 ("Series #" FLOAT, "Season #" FLOAT, "Title" TEXT, "Directed by" TEXT, "Written by" TEXT, "Original air date" TEXT)
| What was the number of seasons that was directed by Joanna Kerns? | SELECT COUNT("Season #") FROM table_21623 WHERE "Directed by" = 'Joanna Kerns' | SELECT COUNT("Season #") FROM "table_21623" WHERE "Directed by" = 'Joanna Kerns' | 0.078125 |
CREATE TABLE table_1942683_1 (house_colour VARCHAR, house_name VARCHAR)
| How many house colours are associated with house names of Hillary? | SELECT COUNT(house_colour) FROM table_1942683_1 WHERE house_name = "Hillary" | SELECT COUNT("house_colour") FROM "table_1942683_1" WHERE "Hillary" = "house_name" | 0.080078 |
CREATE TABLE table_name_62 (skip VARCHAR, third VARCHAR)
| WHAT IS THE SKIP WITH A THIRD OF DEANNA DOIG? | SELECT skip FROM table_name_62 WHERE third = "deanna doig" | SELECT "skip" FROM "table_name_62" WHERE "deanna doig" = "third" | 0.0625 |
CREATE TABLE table_204_814 (id DECIMAL, "date" TEXT, "opposition" TEXT, "result" TEXT, "score" TEXT, "brazil scorers" TEXT, "competition" TEXT)
| did brazil score more goals against the soviet union or portugal in 1982 ? | SELECT "opposition" FROM table_204_814 WHERE "opposition" IN ('soviet union', 'portugal') ORDER BY "score" DESC LIMIT 1 | SELECT "opposition" FROM "table_204_814" WHERE "opposition" IN ('soviet union', 'portugal') ORDER BY "score" DESC NULLS LAST LIMIT 1 | 0.128906 |
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 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 prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
| count the number of patients whose gender is m and diagnoses long title is injury to femoral nerve? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.gender = "M" AND diagnoses.long_title = "Injury to femoral nerve" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "Injury to femoral nerve" = "diagnoses"."long_title" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" WHERE "M" = "demographic"."gender" | 0.222656 |
CREATE TABLE table_53412 ("Tournament" TEXT, "Winner" TEXT, "Runner-up" TEXT, "Score" TEXT, "Third Place" TEXT)
| Who was the runner-up in the tournament in London? | SELECT "Runner-up" FROM table_53412 WHERE "Tournament" = 'london' | SELECT "Runner-up" FROM "table_53412" WHERE "Tournament" = 'london' | 0.06543 |
CREATE TABLE table_66242 ("Debut year" FLOAT, "Player" TEXT, "Games" FLOAT, "Goals" FLOAT, "Years at club" TEXT)
| Which Games have Years at club of 1974 1975, and Goals of 4? | SELECT AVG("Games") FROM table_66242 WHERE "Years at club" = '1974–1975' AND "Goals" = '4' | SELECT AVG("Games") FROM "table_66242" WHERE "Goals" = '4' AND "Years at club" = '1974–1975' | 0.089844 |
CREATE TABLE table_20683381_3 (for___percentage_ VARCHAR, against___percentage_ VARCHAR)
| When 17,874 (33.2) is the percentage against what is the percentage for? | SELECT for___percentage_ FROM table_20683381_3 WHERE against___percentage_ = "17,874 (33.2)" | SELECT "for___percentage_" FROM "table_20683381_3" WHERE "17,874 (33.2)" = "against___percentage_" | 0.095703 |
CREATE TABLE gsi (course_offering_id INT, student_id INT)
CREATE TABLE course_tags_count (course_id INT, clear_grading INT, pop_quiz INT, group_projects INT, inspirational INT, long_lectures INT, extra_credit INT, few_tests INT, good_feedback INT, tough_tests INT, heavy_papers INT, cares_for_students INT, heavy_assignments INT, respected INT, participation INT, heavy_reading INT, tough_grader INT, hilarious INT, would_take_again INT, good_lecture INT, no_skip INT)
CREATE TABLE program_course (program_id INT, course_id INT, workload INT, category VARCHAR)
CREATE TABLE course_offering (offering_id INT, course_id INT, semester INT, section_number INT, start_time TIME, end_time TIME, monday VARCHAR, tuesday VARCHAR, wednesday VARCHAR, thursday VARCHAR, friday VARCHAR, saturday VARCHAR, sunday VARCHAR, has_final_project VARCHAR, has_final_exam VARCHAR, textbook VARCHAR, class_address VARCHAR, allow_audit VARCHAR)
CREATE TABLE course_prerequisite (pre_course_id INT, course_id INT)
CREATE TABLE student (student_id INT, lastname VARCHAR, firstname VARCHAR, program_id INT, declare_major VARCHAR, total_credit INT, total_gpa FLOAT, entered_as VARCHAR, admit_term INT, predicted_graduation_semester INT, degree VARCHAR, minor VARCHAR, internship VARCHAR)
CREATE TABLE instructor (instructor_id INT, name VARCHAR, uniqname VARCHAR)
CREATE TABLE student_record (student_id INT, course_id INT, semester INT, grade VARCHAR, how VARCHAR, transfer_source VARCHAR, earn_credit VARCHAR, repeat_term VARCHAR, test_id VARCHAR)
CREATE TABLE area (course_id INT, area VARCHAR)
CREATE TABLE jobs (job_id INT, job_title VARCHAR, description VARCHAR, requirement VARCHAR, city VARCHAR, state VARCHAR, country VARCHAR, zip INT)
CREATE TABLE offering_instructor (offering_instructor_id INT, offering_id INT, instructor_id INT)
CREATE TABLE semester (semester_id INT, semester VARCHAR, year INT)
CREATE TABLE course (course_id INT, name VARCHAR, department VARCHAR, number VARCHAR, credits VARCHAR, advisory_requirement VARCHAR, enforced_requirement VARCHAR, description VARCHAR, num_semesters INT, num_enrolled INT, has_discussion VARCHAR, has_lab VARCHAR, has_projects VARCHAR, has_exams VARCHAR, num_reviews INT, clarity_score INT, easiness_score INT, helpfulness_score INT)
CREATE TABLE program (program_id INT, name VARCHAR, college VARCHAR, introduction VARCHAR)
CREATE TABLE program_requirement (program_id INT, category VARCHAR, min_credit INT, additional_req VARCHAR)
CREATE TABLE comment_instructor (instructor_id INT, student_id INT, score INT, comment_text VARCHAR)
CREATE TABLE requirement (requirement_id INT, requirement VARCHAR, college VARCHAR)
CREATE TABLE ta (campus_job_id INT, student_id INT, location VARCHAR)
| What is available for section in FILMVID 101 between 9:00 and 6:00 ? | SELECT DISTINCT course_offering.end_time, course_offering.section_number, course_offering.start_time FROM course, course_offering, semester WHERE course_offering.end_time <= '6:00' AND course_offering.start_time >= '9:00' AND course.course_id = course_offering.course_id AND course.department = 'FILMVID' AND course.number = 101 AND semester.semester = 'WN' AND semester.semester_id = course_offering.semester AND semester.year = 2016 | SELECT DISTINCT "course_offering"."end_time", "course_offering"."section_number", "course_offering"."start_time" FROM "course" JOIN "course_offering" ON "course"."course_id" = "course_offering"."course_id" AND "course_offering"."end_time" <= '6:00' AND "course_offering"."start_time" >= '9:00' JOIN "semester" ON "course_offering"."semester" = "semester"."semester_id" AND "semester"."semester" = 'WN' AND "semester"."year" = 2016 WHERE "course"."department" = 'FILMVID' AND "course"."number" = 101 | 0.486328 |
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 medication (medicationid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, dosage TEXT, routeadmin TEXT, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE diagnosis (diagnosisid DECIMAL, patientunitstayid DECIMAL, diagnosisname TEXT, diagnosistime TIME, icd9code TEXT)
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 cost (costid DECIMAL, uniquepid TEXT, patienthealthsystemstayid DECIMAL, eventtype TEXT, eventid DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE microlab (microlabid DECIMAL, patientunitstayid DECIMAL, culturesite TEXT, organism TEXT, culturetakentime 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 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)
| a medication has been prescribed to patient 006-47576 in 12/2105? | SELECT COUNT(*) > 0 FROM medication WHERE medication.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '006-47576')) AND STRFTIME('%y-%m', medication.drugstarttime) = '2105-12' | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '006-47576' 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 "medication" LEFT JOIN "_u_1" AS "_u_1" ON "_u_1"."" = "medication"."patientunitstayid" WHERE NOT "_u_1"."" IS NULL AND STRFTIME('%y-%m', "medication"."drugstarttime") = '2105-12' | 0.548828 |
CREATE TABLE table_66600 ("Frequency" TEXT, "Call sign" TEXT, "Branding" TEXT, "Format" TEXT, "Owner" TEXT)
| Who is the owner of CKLF-FM? | SELECT "Owner" FROM table_66600 WHERE "Call sign" = 'cklf-fm' | SELECT "Owner" FROM "table_66600" WHERE "Call sign" = 'cklf-fm' | 0.061523 |
CREATE TABLE table_27539535_4 (game INT, score VARCHAR)
| What is the least entry for game if the score is 1-0? | SELECT MIN(game) FROM table_27539535_4 WHERE score = "1-0" | SELECT MIN("game") FROM "table_27539535_4" WHERE "1-0" = "score" | 0.0625 |
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 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_labitems (row_id DECIMAL, itemid DECIMAL, label 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 d_icd_diagnoses (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 diagnoses_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime 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 labevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom 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 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 d_items (row_id DECIMAL, itemid DECIMAL, label TEXT, linksto TEXT)
CREATE TABLE patients (row_id DECIMAL, subject_id DECIMAL, gender TEXT, dob TIME, dod TIME)
CREATE TABLE outputevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, value DECIMAL)
CREATE TABLE d_icd_procedures (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
| what amount of venlafaxine has been prescribed to patient 49140 for the first time until 12 months ago? | SELECT prescriptions.dose_val_rx FROM prescriptions WHERE prescriptions.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 49140) AND prescriptions.drug = 'venlafaxine' AND DATETIME(prescriptions.startdate) <= DATETIME(CURRENT_TIME(), '-12 month') ORDER BY prescriptions.startdate LIMIT 1 | WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 49140 GROUP BY "hadm_id") SELECT "prescriptions"."dose_val_rx" FROM "prescriptions" LEFT JOIN "_u_0" AS "_u_0" ON "_u_0"."" = "prescriptions"."hadm_id" WHERE "prescriptions"."drug" = 'venlafaxine' AND DATETIME("prescriptions"."startdate") <= DATETIME(CURRENT_TIME(), '-12 month') AND NOT "_u_0"."" IS NULL ORDER BY "prescriptions"."startdate" NULLS FIRST LIMIT 1 | 0.449219 |
CREATE TABLE PostNotices (Id DECIMAL, PostId DECIMAL, PostNoticeTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body TEXT, OwnerUserId DECIMAL, DeletionUserId 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 PostTags (PostId DECIMAL, TagId DECIMAL)
CREATE TABLE PostLinks (Id DECIMAL, CreationDate TIME, PostId DECIMAL, RelatedPostId DECIMAL, LinkTypeId DECIMAL)
CREATE TABLE PostTypes (Id DECIMAL, Name TEXT)
CREATE TABLE ReviewTaskStates (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE FlagTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE PostNoticeTypes (Id DECIMAL, ClassId DECIMAL, Name TEXT, Body TEXT, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId DECIMAL)
CREATE TABLE Tags (Id DECIMAL, TagName TEXT, Count DECIMAL, ExcerptPostId DECIMAL, WikiPostId DECIMAL)
CREATE TABLE ReviewRejectionReasons (Id DECIMAL, Name TEXT, Description TEXT, PostTypeId DECIMAL)
CREATE TABLE ReviewTaskTypes (Id DECIMAL, Name TEXT, Description TEXT)
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 PostHistoryTypes (Id DECIMAL, Name TEXT)
CREATE TABLE Votes (Id DECIMAL, PostId DECIMAL, VoteTypeId DECIMAL, UserId DECIMAL, CreationDate TIME, BountyAmount DECIMAL)
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 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 ReviewTasks (Id DECIMAL, ReviewTaskTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId DECIMAL, PostId DECIMAL, SuggestedEditId DECIMAL, CompletedByReviewTaskId DECIMAL)
CREATE TABLE Badges (Id DECIMAL, UserId DECIMAL, Name TEXT, Date TIME, Class DECIMAL, TagBased BOOLEAN)
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 ReviewTaskResults (Id DECIMAL, ReviewTaskId DECIMAL, ReviewTaskResultTypeId DECIMAL, CreationDate TIME, RejectionReasonId DECIMAL, Comment 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 ReviewTaskResultTypes (Id DECIMAL, Name TEXT, Description TEXT)
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 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)
| Number of answers in past 30 days to questions older than 60 days. | SELECT COUNT(*) FROM Posts AS p1 JOIN Posts AS p2 ON p1.ParentId = p2.Id WHERE p1.PostTypeId = 2 AND p1.CreationDate >= DATEADD(DAY, -30, GETDATE()) AND NOT p1.ParentId IS NULL AND p2.PostTypeId = 1 AND p2.CreationDate <= DATEADD(DAY, -60, GETDATE()) | SELECT COUNT(*) FROM "Posts" AS "p1" JOIN "Posts" AS "p2" ON "p1"."ParentId" = "p2"."Id" AND "p2"."CreationDate" <= DATEADD(DAY, -60, GETDATE()) AND "p2"."PostTypeId" = 1 WHERE "p1"."CreationDate" >= DATEADD(DAY, -30, GETDATE()) AND "p1"."PostTypeId" = 2 AND NOT "p1"."ParentId" IS NULL | 0.279297 |
CREATE TABLE table_name_75 (finish VARCHAR, year VARCHAR)
| What is the finish in 1953? | SELECT finish FROM table_name_75 WHERE year = "1953" | SELECT "finish" FROM "table_name_75" WHERE "1953" = "year" | 0.056641 |
CREATE TABLE table_name_75 (scored INT, losses INT)
| How much Scored has Losses smaller than 0? | SELECT SUM(scored) FROM table_name_75 WHERE losses < 0 | SELECT SUM("scored") FROM "table_name_75" WHERE "losses" < 0 | 0.058594 |
CREATE TABLE table_1348246_3 (electrical VARCHAR, secretariat VARCHAR)
| What are electricals where secretariat is po(w)? | SELECT electrical FROM table_1348246_3 WHERE secretariat = "PO(W)" | SELECT "electrical" FROM "table_1348246_3" WHERE "PO(W)" = "secretariat" | 0.070313 |
CREATE TABLE table_name_32 (lane INT, time VARCHAR, rank VARCHAR)
| How many lanes have a Time of 53.61, and a Rank larger than 3? | SELECT SUM(lane) FROM table_name_32 WHERE time = 53.61 AND rank > 3 | SELECT SUM("lane") FROM "table_name_32" WHERE "rank" > 3 AND "time" = 53.61 | 0.073242 |
CREATE TABLE table_name_36 (carries INT, touchdowns INT)
| What is the average number of carries that have more than 72 touchdowns? | SELECT AVG(carries) FROM table_name_36 WHERE touchdowns > 72 | SELECT AVG("carries") FROM "table_name_36" WHERE "touchdowns" > 72 | 0.064453 |
CREATE TABLE table_77293 ("Player" TEXT, "Country" TEXT, "Year ( s ) won" TEXT, "Total" FLOAT, "To par" TEXT, "Finish" TEXT)
| What is the Total of the Player with a Finish of 1? | SELECT COUNT("Total") FROM table_77293 WHERE "Finish" = '1' | SELECT COUNT("Total") FROM "table_77293" WHERE "Finish" = '1' | 0.05957 |
CREATE TABLE time_interval (period TEXT, begin_time INT, end_time INT)
CREATE TABLE food_service (meal_code TEXT, meal_number INT, compartment TEXT, meal_description 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 airline (airline_code VARCHAR, airline_name TEXT, note TEXT)
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 ground_service (city_code TEXT, airport_code TEXT, transport_type TEXT, ground_fare 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 state (state_code TEXT, state_name TEXT, country_name TEXT)
CREATE TABLE flight_fare (flight_id INT, fare_id INT)
CREATE TABLE airport_service (city_code VARCHAR, airport_code VARCHAR, miles_distant INT, direction VARCHAR, minutes_distant 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 time_zone (time_zone_code TEXT, time_zone_name TEXT, hours_from_gmt INT)
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 date_day (month_number INT, day_number INT, year INT, day_name 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 city (city_code VARCHAR, city_name VARCHAR, state_code VARCHAR, country_name VARCHAR, time_zone_code VARCHAR)
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 code_description (code VARCHAR, description TEXT)
CREATE TABLE compartment_class (compartment VARCHAR, class_type VARCHAR)
CREATE TABLE equipment_sequence (aircraft_code_sequence VARCHAR, aircraft_code VARCHAR)
CREATE TABLE month (month_number INT, month_name TEXT)
CREATE TABLE class_of_service (booking_class VARCHAR, rank INT, class_description TEXT)
CREATE TABLE dual_carrier (main_airline VARCHAR, low_flight_number INT, high_flight_number INT, dual_airline VARCHAR, service_name TEXT)
CREATE TABLE days (days_code VARCHAR, day_name VARCHAR)
CREATE TABLE flight_leg (flight_id INT, leg_number INT, leg_flight INT)
| can i get a RENTAL CAR in DALLAS | SELECT DISTINCT ground_service.transport_type FROM airport, airport_service, city, ground_service WHERE airport.airport_code = airport_service.airport_code AND city.city_code = airport_service.city_code AND city.city_name = 'DALLAS' AND ground_service.airport_code = airport.airport_code AND ground_service.transport_type = 'RENTAL CAR' | SELECT DISTINCT "ground_service"."transport_type" FROM "airport" JOIN "airport_service" ON "airport"."airport_code" = "airport_service"."airport_code" JOIN "ground_service" ON "airport"."airport_code" = "ground_service"."airport_code" AND "ground_service"."transport_type" = 'RENTAL CAR' JOIN "city" ON "airport_service"."city_code" = "city"."city_code" AND "city"."city_name" = 'DALLAS' | 0.37793 |
CREATE TABLE table_78633 ("Year" FLOAT, "Winner" TEXT, "Sport" TEXT, "Hometown" TEXT, "College" TEXT)
| What is Hometown, when Sport is 'Basketball', and when Winner is 'Dwight Howard'? | SELECT "Hometown" FROM table_78633 WHERE "Sport" = 'basketball' AND "Winner" = 'dwight howard' | SELECT "Hometown" FROM "table_78633" WHERE "Sport" = 'basketball' AND "Winner" = 'dwight howard' | 0.09375 |
CREATE TABLE table_203_187 (id DECIMAL, "conference" TEXT, "bids" DECIMAL, "record" TEXT, "win %" DECIMAL, "quarterfinals" DECIMAL, "semifinals" DECIMAL, "final" DECIMAL, "champions" DECIMAL)
| which conference has a win percentage that is above the atlantic coast conference ? | SELECT "conference" FROM table_203_187 WHERE "win %" > (SELECT "win %" FROM table_203_187 WHERE "conference" = 'atlantic coast conference') | SELECT "conference" FROM "table_203_187" WHERE "win %" > (SELECT "win %" FROM "table_203_187" WHERE "conference" = 'atlantic coast conference') | 0.139648 |
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 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)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
| look for the long title of diagnoses for diagnoses icd9 code 920. | SELECT diagnoses.long_title FROM diagnoses WHERE diagnoses.icd9_code = "920" | SELECT "diagnoses"."long_title" FROM "diagnoses" WHERE "920" = "diagnoses"."icd9_code" | 0.083984 |
CREATE TABLE table_25538763_1 (season INT)
| When was the earliest season of Juncadella's career? | SELECT MIN(season) FROM table_25538763_1 | SELECT MIN("season") FROM "table_25538763_1" | 0.042969 |
CREATE TABLE table_name_54 (away_team VARCHAR, home_team VARCHAR)
| Who was the away team when the home team Manchester United played? | SELECT away_team FROM table_name_54 WHERE home_team = "manchester united" | SELECT "away_team" FROM "table_name_54" WHERE "home_team" = "manchester united" | 0.077148 |
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 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 countries (COUNTRY_ID VARCHAR, COUNTRY_NAME VARCHAR, REGION_ID DECIMAL)
CREATE TABLE regions (REGION_ID DECIMAL, REGION_NAME VARCHAR)
CREATE TABLE departments (DEPARTMENT_ID DECIMAL, DEPARTMENT_NAME VARCHAR, MANAGER_ID DECIMAL, LOCATION_ID 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 was hired before 2002-06-21, visualize the relationship between salary and commission_pct . | SELECT SALARY, COMMISSION_PCT FROM employees WHERE HIRE_DATE < '2002-06-21' | SELECT "SALARY", "COMMISSION_PCT" FROM "employees" WHERE "HIRE_DATE" < '2002-06-21' | 0.081055 |
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 allergy (allergyid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, allergyname TEXT, allergytime TIME)
CREATE TABLE diagnosis (diagnosisid DECIMAL, patientunitstayid DECIMAL, diagnosisname TEXT, diagnosistime TIME, icd9code TEXT)
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 microlab (microlabid DECIMAL, patientunitstayid DECIMAL, culturesite TEXT, organism TEXT, culturetakentime TIME)
CREATE TABLE treatment (treatmentid DECIMAL, patientunitstayid DECIMAL, treatmentname TEXT, treatmenttime 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 intakeoutput (intakeoutputid DECIMAL, patientunitstayid DECIMAL, cellpath TEXT, celllabel TEXT, cellvaluenumeric DECIMAL, intakeoutputtime TIME)
| what was patient 002-56853's respiration minimum on the first intensive care unit visit? | SELECT MIN(vitalperiodic.respiration) FROM vitalperiodic WHERE vitalperiodic.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '002-56853') AND NOT patient.unitdischargetime IS NULL ORDER BY patient.unitadmittime LIMIT 1) AND NOT vitalperiodic.respiration IS NULL | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '002-56853' GROUP BY "patienthealthsystemstayid") SELECT MIN("vitalperiodic"."respiration") FROM "vitalperiodic" WHERE "vitalperiodic"."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" NULLS FIRST LIMIT 1) AND NOT "vitalperiodic"."respiration" IS NULL | 0.558594 |
CREATE TABLE table_28940 ("District" TEXT, "Incumbent" TEXT, "Party" TEXT, "First elected" TEXT, "Result" TEXT, "Candidates" TEXT)
| Name the incumbent for virginia 18 | SELECT "Incumbent" FROM table_28940 WHERE "District" = 'Virginia 18' | SELECT "Incumbent" FROM "table_28940" WHERE "District" = 'Virginia 18' | 0.068359 |
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)
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)
| Which patients have the lope2 drug code? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE prescriptions.formulary_drug_cd = "LOPE2" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "prescriptions" ON "LOPE2" = "prescriptions"."formulary_drug_cd" AND "demographic"."hadm_id" = "prescriptions"."hadm_id" | 0.189453 |
CREATE TABLE locations (LOCATION_ID DECIMAL, STREET_ADDRESS VARCHAR, POSTAL_CODE VARCHAR, CITY VARCHAR, STATE_PROVINCE VARCHAR, COUNTRY_ID VARCHAR)
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 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)
| For those employees who was hired before 2002-06-21, find hire_date and the amount of hire_date bin hire_date by weekday, and visualize them by a bar chart, order y-axis from high to low order. | SELECT HIRE_DATE, COUNT(HIRE_DATE) FROM employees WHERE HIRE_DATE < '2002-06-21' ORDER BY COUNT(HIRE_DATE) DESC | SELECT "HIRE_DATE", COUNT("HIRE_DATE") FROM "employees" WHERE "HIRE_DATE" < '2002-06-21' ORDER BY COUNT("HIRE_DATE") DESC NULLS LAST | 0.128906 |
CREATE TABLE table_name_2 (home_team VARCHAR, venue VARCHAR)
| What did the home team score at Lake Oval? | SELECT home_team AS score FROM table_name_2 WHERE venue = "lake oval" | SELECT "home_team" AS "score" FROM "table_name_2" WHERE "lake oval" = "venue" | 0.075195 |
CREATE TABLE table_79244 ("Year" FLOAT, "Winners" TEXT, "Runner-up" TEXT, "Third place" TEXT, "Fourth place" TEXT, "Best goalkeeper" TEXT, "Top goal scorer ( s ) " TEXT)
| What year was the runner-up Portugal with Italy in third place, and the gold keeper Nuno Hidalgo? | SELECT AVG("Year") FROM table_79244 WHERE "Runner-up" = 'portugal' AND "Third place" = 'italy' AND "Best goalkeeper" = 'nuno hidalgo' | SELECT AVG("Year") FROM "table_79244" WHERE "Best goalkeeper" = 'nuno hidalgo' AND "Runner-up" = 'portugal' AND "Third place" = 'italy' | 0.131836 |
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid 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 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)
| provide the number of patients whose religion is romanian east. orth and item id is 50878? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.religion = "ROMANIAN EAST. ORTH" AND lab.itemid = "50878" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "lab" ON "50878" = "lab"."itemid" AND "demographic"."hadm_id" = "lab"."hadm_id" WHERE "ROMANIAN EAST. ORTH" = "demographic"."religion" | 0.203125 |
CREATE TABLE table_name_34 (date VARCHAR, points VARCHAR, visitor VARCHAR)
| On what date does visiting team Minnesota score higher than 47 points? | SELECT date FROM table_name_34 WHERE points > 47 AND visitor = "minnesota" | SELECT "date" FROM "table_name_34" WHERE "minnesota" = "visitor" AND "points" > 47 | 0.080078 |
CREATE TABLE PostLinks (Id DECIMAL, CreationDate TIME, PostId DECIMAL, RelatedPostId DECIMAL, LinkTypeId DECIMAL)
CREATE TABLE ReviewTaskResults (Id DECIMAL, ReviewTaskId DECIMAL, ReviewTaskResultTypeId DECIMAL, CreationDate TIME, RejectionReasonId DECIMAL, Comment TEXT)
CREATE TABLE PostFeedback (Id DECIMAL, PostId DECIMAL, IsAnonymous BOOLEAN, VoteTypeId DECIMAL, CreationDate TIME)
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 Badges (Id DECIMAL, UserId DECIMAL, Name TEXT, Date TIME, Class DECIMAL, TagBased BOOLEAN)
CREATE TABLE Tags (Id DECIMAL, TagName TEXT, Count DECIMAL, ExcerptPostId DECIMAL, WikiPostId 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 PendingFlags (Id DECIMAL, FlagTypeId DECIMAL, PostId DECIMAL, CreationDate TIME, CloseReasonTypeId DECIMAL, CloseAsOffTopicReasonTypeId DECIMAL, DuplicateOfQuestionId DECIMAL, BelongsOnBaseHostAddress TEXT)
CREATE TABLE CloseReasonTypes (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 SuggestedEditVotes (Id DECIMAL, SuggestedEditId DECIMAL, UserId DECIMAL, VoteTypeId DECIMAL, CreationDate TIME, TargetUserId DECIMAL, TargetRepChange DECIMAL)
CREATE TABLE ReviewTaskResultTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE VoteTypes (Id DECIMAL, Name TEXT)
CREATE TABLE PostNotices (Id DECIMAL, PostId DECIMAL, PostNoticeTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body TEXT, OwnerUserId DECIMAL, DeletionUserId 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 PostHistoryTypes (Id DECIMAL, Name TEXT)
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 PostTypes (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 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 ReviewTaskStates (Id DECIMAL, Name TEXT, Description TEXT)
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 PostTags (PostId DECIMAL, TagId DECIMAL)
CREATE TABLE ReviewTaskTypes (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 FlagTypes (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)
| Question where my answer has been accepted but some answer has better score than mine. This query will return, for a user, the list of question where his answer has been accepted but some others answer has better score | SELECT Q.Id AS Qid, Q.Title AS Qtitle, myA.Id AS myAid, myA.Body AS myAbody, allA.Id AS OthersAid, allA.Body AS OthersAbody FROM Posts AS myA, Posts AS allA, Posts AS Q WHERE Q.Id = allA.ParentId AND Q.AcceptedAnswerId = myA.Id AND myA.OwnerUserId = '##UserId##' AND myA.PostTypeId = 2 AND allA.PostTypeId = 2 AND allA.Score > myA.Score | SELECT "Q"."Id" AS "Qid", "Q"."Title" AS "Qtitle", "myA"."Id" AS "myAid", "myA"."Body" AS "myAbody", "allA"."Id" AS "OthersAid", "allA"."Body" AS "OthersAbody" FROM "Posts" AS "myA" JOIN "Posts" AS "allA" ON "allA"."PostTypeId" = 2 AND "allA"."Score" > "myA"."Score" JOIN "Posts" AS "Q" ON "Q"."AcceptedAnswerId" = "myA"."Id" AND "Q"."Id" = "allA"."ParentId" WHERE "myA"."OwnerUserId" = '##UserId##' AND "myA"."PostTypeId" = 2 | 0.416016 |
CREATE TABLE table_14531 ("Game" FLOAT, "Date" TEXT, "Score" TEXT, "Location" TEXT, "Time" TEXT, "Attendance" FLOAT)
| What game, played on October 17 in front of 49,347 fans, had the lowest score? | SELECT MIN("Game") FROM table_14531 WHERE "Date" = 'october 17' AND "Attendance" > '49,347' | SELECT MIN("Game") FROM "table_14531" WHERE "Attendance" > '49,347' AND "Date" = 'october 17' | 0.09082 |
CREATE TABLE table_72989 ("Year" FLOAT, "Date ( Opening ) " TEXT, "Date ( Closing ) " TEXT, "Opening Film" TEXT, "Number of Screening" TEXT, "Award-Winning Film" TEXT)
| Which award-winning film has a screening number of 50 films 50 televised? | SELECT "Award-Winning Film" FROM table_72989 WHERE "Number of Screening" = '50 films 50 televised' | SELECT "Award-Winning Film" FROM "table_72989" WHERE "Number of Screening" = '50 films 50 televised' | 0.097656 |
CREATE TABLE captain (Captain_ID INT, Name TEXT, Ship_ID INT, age TEXT, Class TEXT, Rank TEXT)
CREATE TABLE Ship (Ship_ID INT, Name TEXT, Type TEXT, Built_Year FLOAT, Class TEXT, Flag TEXT)
| Draw a pie chart for how many captains with younger than 50 are in each rank? | SELECT Rank, COUNT(*) FROM captain WHERE age < 50 GROUP BY Rank | SELECT "Rank", COUNT(*) FROM "captain" WHERE "age" < 50 GROUP BY "Rank" | 0.069336 |
CREATE TABLE table_name_2 (protein_name VARCHAR, sequence_identity_to_human_protein VARCHAR)
| What is the protein name of the protein with a sequence identity to human protein of 32%? | SELECT protein_name FROM table_name_2 WHERE sequence_identity_to_human_protein = "32%" | SELECT "protein_name" FROM "table_name_2" WHERE "32%" = "sequence_identity_to_human_protein" | 0.089844 |
CREATE TABLE table_203_271 (id DECIMAL, "date" TEXT, "series" TEXT, "circuit" TEXT, "city / state" TEXT, "winner" TEXT, "team" TEXT, "car" TEXT, "report" TEXT)
| how many races took place in new south wales ? | SELECT COUNT(*) FROM table_203_271 WHERE "city / state" = 'new south wales' | SELECT COUNT(*) FROM "table_203_271" WHERE "city / state" = 'new south wales' | 0.075195 |
CREATE TABLE table_26014 ("Branding" TEXT, "Callsign" TEXT, "Ch. #" TEXT, "Power kW" TEXT, "Station Type" TEXT, "Location ( Transmitter site ) " TEXT)
| When dxcc-tv is the call sign how many station types are there? | SELECT COUNT("Station Type") FROM table_26014 WHERE "Callsign" = 'DXCC-TV' | SELECT COUNT("Station Type") FROM "table_26014" WHERE "Callsign" = 'DXCC-TV' | 0.074219 |
CREATE TABLE table_name_45 (college_junior_club_team__league_ VARCHAR, player VARCHAR)
| Which college/junior/club team (league) did Brett Sonne play in? | SELECT college_junior_club_team__league_ FROM table_name_45 WHERE player = "brett sonne" | SELECT "college_junior_club_team__league_" FROM "table_name_45" WHERE "brett sonne" = "player" | 0.091797 |
CREATE TABLE table_13906 ("Date" TEXT, "Time" TEXT, "Score" TEXT, "Set 1" TEXT, "Set 2" TEXT, "Set 3" TEXT, "Total" TEXT, "Report" TEXT)
| What set 2 has a total of 97 74? | SELECT "Set 2" FROM table_13906 WHERE "Total" = '97–74' | SELECT "Set 2" FROM "table_13906" WHERE "Total" = '97–74' | 0.055664 |
CREATE TABLE table_name_14 (year VARCHAR, laps VARCHAR, rank VARCHAR)
| Name the year for laps of 200 and rank of 24 | SELECT year FROM table_name_14 WHERE laps = 200 AND rank = "24" | SELECT "year" FROM "table_name_14" WHERE "24" = "rank" AND "laps" = 200 | 0.069336 |
CREATE TABLE table_21873 ("Stage" FLOAT, "Winner" TEXT, "General Classification" TEXT, "Mountains Classification" TEXT, "Points Classification" TEXT, "Sprints classification" TEXT, "Team Classification" TEXT)
| How many stages were won by Robbie McEwen? | SELECT COUNT("Stage") FROM table_21873 WHERE "Winner" = 'Robbie McEwen' | SELECT COUNT("Stage") FROM "table_21873" WHERE "Winner" = 'Robbie McEwen' | 0.071289 |
CREATE TABLE table_203_652 (id DECIMAL, "goal" DECIMAL, "date" TEXT, "venue" TEXT, "opponent" TEXT, "score" TEXT, "result" TEXT, "competition" TEXT)
| how many competitions had a score of 1-0 at most ? | SELECT COUNT(*) FROM table_203_652 WHERE "score" = '1-0' | SELECT COUNT(*) FROM "table_203_652" WHERE "score" = '1-0' | 0.056641 |
CREATE TABLE table_name_29 (Giant VARCHAR, season VARCHAR)
| Which Giant Slalom was obtained in the 1997 season? | SELECT Giant AS slalom FROM table_name_29 WHERE season = 1997 | SELECT "Giant" AS "slalom" FROM "table_name_29" WHERE "season" = 1997 | 0.067383 |
CREATE TABLE table_204_392 (id DECIMAL, "#" DECIMAL, "stadium" TEXT, "capacity" DECIMAL, "city" TEXT, "country" TEXT, "domed or retractable roof" TEXT)
| what city is the miller park stadium located in ? | SELECT "city" FROM table_204_392 WHERE "stadium" = 'miller park' | SELECT "city" FROM "table_204_392" WHERE "stadium" = 'miller park' | 0.064453 |
CREATE TABLE table_25706 ("Game" FLOAT, "Date" TEXT, "Team" TEXT, "Score" TEXT, "High points" TEXT, "High rebounds" TEXT, "High assists" TEXT, "Location Attendance" TEXT, "Record" TEXT)
| Name the number of high points for record 5-17 | SELECT COUNT("High points") FROM table_25706 WHERE "Record" = '5-17' | SELECT COUNT("High points") FROM "table_25706" WHERE "Record" = '5-17' | 0.068359 |
CREATE TABLE swimmer (ID INT, name TEXT, Nationality TEXT, meter_100 FLOAT, meter_200 TEXT, meter_300 TEXT, meter_400 TEXT, meter_500 TEXT, meter_600 TEXT, meter_700 TEXT, Time TEXT)
CREATE TABLE event (ID INT, Name TEXT, Stadium_ID INT, Year TEXT)
CREATE TABLE stadium (ID INT, name TEXT, Capacity INT, City TEXT, Country TEXT, Opening_year INT)
CREATE TABLE record (ID INT, Result TEXT, Swimmer_ID INT, Event_ID INT)
| Return a bar chart about the distribution of Time and meter_100 , and show meter_100 from high to low order. | SELECT Time, meter_100 FROM swimmer ORDER BY meter_100 DESC | SELECT "Time", "meter_100" FROM "swimmer" ORDER BY "meter_100" DESC NULLS LAST | 0.076172 |
CREATE TABLE table_name_69 (silver INT, nation VARCHAR, gold VARCHAR)
| What is the least silver that has mexico as a nation and a gold less than 0? | SELECT MIN(silver) FROM table_name_69 WHERE nation = "mexico" AND gold < 0 | SELECT MIN("silver") FROM "table_name_69" WHERE "gold" < 0 AND "mexico" = "nation" | 0.080078 |
CREATE TABLE table_20914 ("Central Forest Reserve" TEXT, "Size in km\\u00b2" FLOAT, "Total plant species" FLOAT, "Tree species" FLOAT, "Endemic" FLOAT, "Threatened ( CR , VU , EN ) " FLOAT)
| How many tree species are there when the total plant species is 113? | SELECT COUNT("Tree species") FROM table_20914 WHERE "Total plant species" = '113' | SELECT COUNT("Tree species") FROM "table_20914" WHERE "Total plant species" = '113' | 0.081055 |
CREATE TABLE table_23285849_8 (record VARCHAR, score VARCHAR)
| Name the record for l 106 116 (ot) | SELECT record FROM table_23285849_8 WHERE score = "L 106–116 (OT)" | SELECT "record" FROM "table_23285849_8" WHERE "L 106–116 (OT)" = "score" | 0.070313 |
CREATE TABLE cost (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, event_type TEXT, event_id DECIMAL, chargetime TIME, cost DECIMAL)
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 d_labitems (row_id DECIMAL, itemid DECIMAL, label 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 d_icd_procedures (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 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 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 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 patients (row_id DECIMAL, subject_id DECIMAL, gender TEXT, dob TIME, dod TIME)
CREATE TABLE diagnoses_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE outputevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, value DECIMAL)
CREATE TABLE microbiologyevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, charttime TIME, spec_type_desc TEXT, org_name TEXT)
CREATE TABLE d_icd_diagnoses (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE chartevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
| tell me the maximum heart rate of patient 20033 on the first intensive care unit visit? | SELECT MAX(chartevents.valuenum) FROM chartevents WHERE chartevents.icustay_id IN (SELECT icustays.icustay_id FROM icustays WHERE icustays.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 20033) AND NOT icustays.outtime IS NULL ORDER BY icustays.intime LIMIT 1) AND chartevents.itemid IN (SELECT d_items.itemid FROM d_items WHERE d_items.label = 'heart rate' AND d_items.linksto = 'chartevents') | WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 20033 GROUP BY "hadm_id"), "_u_2" AS (SELECT "d_items"."itemid" FROM "d_items" WHERE "d_items"."label" = 'heart rate' AND "d_items"."linksto" = 'chartevents' GROUP BY "itemid") SELECT MAX("chartevents"."valuenum") FROM "chartevents" LEFT JOIN "_u_2" AS "_u_2" ON "_u_2"."" = "chartevents"."itemid" WHERE "chartevents"."icustay_id" IN (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 AND NOT "icustays"."outtime" IS NULL ORDER BY "icustays"."intime" NULLS FIRST LIMIT 1) AND NOT "_u_2"."" IS NULL | 0.666992 |
CREATE TABLE table_37487 ("Name" TEXT, "Gain" FLOAT, "Loss" FLOAT, "Long" FLOAT, "Avg/G" FLOAT)
| Which Gain is the lowest one that has a Loss larger than 2, and an Avg/G larger than -6, and a Name of sheehan, tyler, and a Long larger than 11? | SELECT MIN("Gain") FROM table_37487 WHERE "Loss" > '2' AND "Avg/G" > '-6' AND "Name" = 'sheehan, tyler' AND "Long" > '11' | SELECT MIN("Gain") FROM "table_37487" WHERE "Avg/G" > '-6' AND "Long" > '11' AND "Loss" > '2' AND "Name" = 'sheehan, tyler' | 0.120117 |
CREATE TABLE table_name_43 (opponents VARCHAR, partner VARCHAR, date VARCHAR)
| Tell me the opponents for mashona washington november 21, 2009 | SELECT opponents FROM table_name_43 WHERE partner = "mashona washington" AND date = "november 21, 2009" | SELECT "opponents" FROM "table_name_43" WHERE "date" = "november 21, 2009" AND "mashona washington" = "partner" | 0.108398 |
CREATE TABLE table_67879 ("7:00" TEXT, "7:30" TEXT, "8:00" TEXT, "8:30" TEXT, "9:00" TEXT, "9:30" TEXT, "10:00" TEXT)
| What is on tv at 7:00 on the same channel that has Survivor: China on at 8:00? | SELECT "7:00" FROM table_67879 WHERE "8:00" = 'survivor: china' | SELECT "7:00" FROM "table_67879" WHERE "8:00" = 'survivor: china' | 0.063477 |
CREATE TABLE table_19003 ("Rank" FLOAT, "Airport" TEXT, "Total Passengers" FLOAT, "% Change 2007/2008" TEXT, "International Passengers" FLOAT, "Domestic Passengers" FLOAT, "Transit Passengers" FLOAT, "Aircraft Movements" FLOAT, "Freight ( Metric Tonnes ) " FLOAT)
| What is the maximum number of trnsit passeners when the total number of international passengers is 4870184? | SELECT MAX("Transit Passengers") FROM table_19003 WHERE "International Passengers" = '4870184' | SELECT MAX("Transit Passengers") FROM "table_19003" WHERE "International Passengers" = '4870184' | 0.09375 |
CREATE TABLE Activity (Id VARCHAR)
| How many activities do we have? | SELECT COUNT(*) FROM Activity | SELECT COUNT(*) FROM "Activity" | 0.030273 |
CREATE TABLE submission (Submission_ID INT, Scores FLOAT, Author TEXT, College TEXT)
CREATE TABLE Acceptance (Submission_ID INT, Workshop_ID INT, Result TEXT)
CREATE TABLE workshop (Workshop_ID INT, Date TEXT, Venue TEXT, Name TEXT)
| How many workshops did each author submit to? Return the author name and the number of workshops in a bar chart, rank Y-axis from low to high order. | SELECT Author, COUNT(DISTINCT T1.Workshop_ID) FROM Acceptance AS T1 JOIN submission AS T2 ON T1.Submission_ID = T2.Submission_ID ORDER BY COUNT(DISTINCT T1.Workshop_ID) | SELECT "Author", COUNT(DISTINCT "T1"."Workshop_ID") FROM "Acceptance" AS "T1" JOIN "submission" AS "T2" ON "T1"."Submission_ID" = "T2"."Submission_ID" ORDER BY COUNT(DISTINCT "T1"."Workshop_ID") NULLS FIRST | 0.201172 |
CREATE TABLE table_25581 ("Institution" TEXT, "Nickname" TEXT, "Location" TEXT, "Founded" FLOAT, "Type" TEXT, "Enrollment" FLOAT, "Joined" FLOAT, "Left" FLOAT)
| Name the nickname that was founded 1798 | SELECT "Nickname" FROM table_25581 WHERE "Founded" = '1798' | SELECT "Nickname" FROM "table_25581" WHERE "Founded" = '1798' | 0.05957 |
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)
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)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
| what is the number of patients whose procedure long title is open reduction of fracture with internal fixation, femur and lab test category is blood gas? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE procedures.long_title = "Open reduction of fracture with internal fixation, femur" AND lab."CATEGORY" = "Blood Gas" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "lab" ON "Blood Gas" = "lab"."CATEGORY" AND "demographic"."hadm_id" = "lab"."hadm_id" JOIN "procedures" ON "Open reduction of fracture with internal fixation, femur" = "procedures"."long_title" AND "demographic"."hadm_id" = "procedures"."hadm_id" | 0.3125 |
CREATE TABLE table_name_45 (livery VARCHAR, wheel_arrangement VARCHAR, locomotive_type VARCHAR, year_built VARCHAR)
| What is the livery of the steam locomotive built after 1950 with a wheel arrangement of 2-6-2? | SELECT livery FROM table_name_45 WHERE locomotive_type = "steam" AND year_built > 1950 AND wheel_arrangement = "2-6-2" | SELECT "livery" FROM "table_name_45" WHERE "2-6-2" = "wheel_arrangement" AND "locomotive_type" = "steam" AND "year_built" > 1950 | 0.125 |
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 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 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 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 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)
| show the sao2 changes of patient 033-3009 second measured on the last intensive care unit visit compared to the first value measured on the last intensive care unit visit? | SELECT (SELECT vitalperiodic.sao2 FROM vitalperiodic WHERE vitalperiodic.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '033-3009') AND NOT patient.unitdischargetime IS NULL ORDER BY patient.unitadmittime DESC LIMIT 1) AND NOT vitalperiodic.sao2 IS NULL ORDER BY vitalperiodic.observationtime LIMIT 1 OFFSET 1) - (SELECT vitalperiodic.sao2 FROM vitalperiodic WHERE vitalperiodic.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '033-3009') AND NOT patient.unitdischargetime IS NULL ORDER BY patient.unitadmittime DESC LIMIT 1) AND NOT vitalperiodic.sao2 IS NULL ORDER BY vitalperiodic.observationtime LIMIT 1) | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '033-3009' GROUP BY "patienthealthsystemstayid") SELECT (SELECT "vitalperiodic"."sao2" FROM "vitalperiodic" WHERE "vitalperiodic"."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) AND NOT "vitalperiodic"."sao2" IS NULL ORDER BY "vitalperiodic"."observationtime" NULLS FIRST LIMIT 1 OFFSET 1) - (SELECT "vitalperiodic"."sao2" FROM "vitalperiodic" WHERE "vitalperiodic"."patientunitstayid" IN (SELECT "patient"."patientunitstayid" FROM "patient" LEFT JOIN "_u_0" AS "_u_3" ON "_u_3"."" = "patient"."patienthealthsystemstayid" WHERE NOT "_u_3"."" IS NULL AND NOT "patient"."unitdischargetime" IS NULL ORDER BY "patient"."unitadmittime" DESC NULLS LAST LIMIT 1) AND NOT "vitalperiodic"."sao2" IS NULL ORDER BY "vitalperiodic"."observationtime" NULLS FIRST LIMIT 1) | 1.080078 |
CREATE TABLE table_62026 ("Year" FLOAT, "Average" TEXT, "High" FLOAT, "Sellouts" FLOAT, "Total for year" FLOAT, "WNBA game average" FLOAT)
| What is the total of the year that more than 13,142 is the high, and 10,387 (2nd) is the average, and there was less than 0 sellouts? | SELECT SUM("Year") FROM table_62026 WHERE "High" > '13,142' AND "Average" = '10,387 (2nd)' AND "Sellouts" < '0' | SELECT SUM("Year") FROM "table_62026" WHERE "Average" = '10,387 (2nd)' AND "High" > '13,142' AND "Sellouts" < '0' | 0.110352 |
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