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CREATE TABLE table_name_95 (maidens VARCHAR2, wickets VARCHAR2, er VARCHAR2, overs_bowled VARCHAR2)
| What is the total number of Maidens when E.R. is less than 9.5, and a Overs Bowled larger than 57, and a Wickets of 9? | SELECT COUNT(maidens) FROM table_name_95 WHERE er < 9.5 AND overs_bowled > 57 AND wickets = 9 | SELECT COUNT("maidens") FROM "table_name_95" WHERE "er" < 9.5 AND "overs_bowled" > 57 AND "wickets" = 9 | 0.100586 |
CREATE TABLE flight_stop (flight_id NUMBER, stop_number NUMBER, stop_days CLOB, stop_airport CLOB, arrival_time NUMBER, arrival_airline CLOB, arrival_flight_number NUMBER, departure_time NUMBER, departure_airline CLOB, departure_flight_number NUMBER, stop_time NUMBER)
CREATE TABLE dual_carrier (main_airline VARCHAR2, low_flight_number NUMBER, high_flight_number NUMBER, dual_airline VARCHAR2, service_name CLOB)
CREATE TABLE state (state_code CLOB, state_name CLOB, country_name CLOB)
CREATE TABLE flight_fare (flight_id NUMBER, fare_id NUMBER)
CREATE TABLE ground_service (city_code CLOB, airport_code CLOB, transport_type CLOB, ground_fare NUMBER)
CREATE TABLE code_description (code VARCHAR2, description CLOB)
CREATE TABLE month (month_number NUMBER, month_name CLOB)
CREATE TABLE airline (airline_code VARCHAR2, airline_name CLOB, note CLOB)
CREATE TABLE flight_leg (flight_id NUMBER, leg_number NUMBER, leg_flight NUMBER)
CREATE TABLE flight (aircraft_code_sequence CLOB, airline_code VARCHAR2, airline_flight CLOB, arrival_time NUMBER, connections NUMBER, departure_time NUMBER, dual_carrier CLOB, flight_days CLOB, flight_id NUMBER, flight_number NUMBER, from_airport VARCHAR2, meal_code CLOB, stops NUMBER, time_elapsed NUMBER, to_airport VARCHAR2)
CREATE TABLE days (days_code VARCHAR2, day_name VARCHAR2)
CREATE TABLE city (city_code VARCHAR2, city_name VARCHAR2, state_code VARCHAR2, country_name VARCHAR2, time_zone_code VARCHAR2)
CREATE TABLE fare_basis (fare_basis_code CLOB, booking_class CLOB, class_type CLOB, premium CLOB, economy CLOB, discounted CLOB, night CLOB, season CLOB, basis_days CLOB)
CREATE TABLE aircraft (aircraft_code VARCHAR2, aircraft_description VARCHAR2, manufacturer VARCHAR2, basic_type VARCHAR2, engines NUMBER, propulsion VARCHAR2, wide_body VARCHAR2, wing_span NUMBER, length NUMBER, weight NUMBER, capacity NUMBER, pay_load NUMBER, cruising_speed NUMBER, range_miles NUMBER, pressurized VARCHAR2)
CREATE TABLE time_zone (time_zone_code CLOB, time_zone_name CLOB, hours_from_gmt NUMBER)
CREATE TABLE fare (fare_id NUMBER, from_airport VARCHAR2, to_airport VARCHAR2, fare_basis_code CLOB, fare_airline CLOB, restriction_code CLOB, one_direction_cost NUMBER, round_trip_cost NUMBER, round_trip_required VARCHAR2)
CREATE TABLE airport_service (city_code VARCHAR2, airport_code VARCHAR2, miles_distant NUMBER, direction VARCHAR2, minutes_distant NUMBER)
CREATE TABLE restriction (restriction_code CLOB, advance_purchase NUMBER, stopovers CLOB, saturday_stay_required CLOB, minimum_stay NUMBER, maximum_stay NUMBER, application CLOB, no_discounts CLOB)
CREATE TABLE food_service (meal_code CLOB, meal_number NUMBER, compartment CLOB, meal_description VARCHAR2)
CREATE TABLE time_interval (period CLOB, begin_time NUMBER, end_time NUMBER)
CREATE TABLE class_of_service (booking_class VARCHAR2, rank NUMBER, class_description CLOB)
CREATE TABLE compartment_class (compartment VARCHAR2, class_type VARCHAR2)
CREATE TABLE equipment_sequence (aircraft_code_sequence VARCHAR2, aircraft_code VARCHAR2)
CREATE TABLE airport (airport_code VARCHAR2, airport_name CLOB, airport_location CLOB, state_code VARCHAR2, country_name VARCHAR2, time_zone_code VARCHAR2, minimum_connect_time NUMBER)
CREATE TABLE date_day (month_number NUMBER, day_number NUMBER, year NUMBER, day_name VARCHAR2)
| AA leaving PHOENIX | SELECT DISTINCT flight.flight_id FROM airport_service AS AIRPORT_SERVICE_0, airport_service AS AIRPORT_SERVICE_1, city AS CITY_0, city AS CITY_1, flight WHERE (CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'PHOENIX' AND CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND flight.from_airport = AIRPORT_SERVICE_0.airport_code AND flight.to_airport = AIRPORT_SERVICE_1.airport_code) AND flight.airline_code = 'AA' | SELECT DISTINCT "flight"."flight_id" FROM "airport_service" "AIRPORT_SERVICE_0" JOIN "city" "CITY_0" ON "AIRPORT_SERVICE_0"."city_code" = "CITY_0"."city_code" AND "CITY_0"."city_name" = 'PHOENIX' JOIN "flight" ON "AIRPORT_SERVICE_0"."airport_code" = "flight"."from_airport" AND "flight"."airline_code" = 'AA' JOIN "airport_service" "AIRPORT_SERVICE_1" ON "AIRPORT_SERVICE_1"."airport_code" = "flight"."to_airport" JOIN "city" "CITY_1" ON "AIRPORT_SERVICE_1"."city_code" = "CITY_1"."city_code" | 0.480469 |
CREATE TABLE table_50283 ("Game" FLOAT, "Date" CLOB, "Team" CLOB, "Score" CLOB, "High points" CLOB, "High assists" CLOB, "Location Attendance" CLOB, "Record" CLOB)
| What are the high points that have 42 as the game? | SELECT "High points" FROM table_50283 WHERE "Game" = '42' | SELECT "High points" FROM "table_50283" WHERE "Game" = '42' | 0.057617 |
CREATE TABLE table_name_34 (tournament VARCHAR2)
| What is the 2011 value of the paris masters, which had A in 2008, A in 2012, A in 2009? | SELECT 2011 FROM table_name_34 WHERE 2008 = "a" AND 2012 = "a" AND 2009 = "a" AND tournament = "paris masters" | SELECT 2011 FROM "table_name_34" WHERE "a" = 2008 AND "a" = 2009 AND "a" = 2012 AND "paris masters" = "tournament" | 0.111328 |
CREATE TABLE table_26615633_3 (media_debut VARCHAR2, species VARCHAR2)
| what is the media debut for the asian black bear? | SELECT media_debut FROM table_26615633_3 WHERE species = "Asian black bear" | SELECT "media_debut" FROM "table_26615633_3" WHERE "Asian black bear" = "species" | 0.079102 |
CREATE TABLE parties (party_email VARCHAR2, party_id VARCHAR2)
CREATE TABLE party_forms (form_id VARCHAR2)
| Find the emails of parties with the most popular party form. | SELECT t1.party_email FROM parties AS t1 JOIN party_forms AS t2 ON t1.party_id = t2.party_id WHERE t2.form_id = (SELECT form_id FROM party_forms GROUP BY form_id ORDER BY COUNT(*) DESC LIMIT 1) | SELECT "t1"."party_email" FROM "parties" "t1" JOIN "party_forms" "t2" ON "t1"."party_id" = "t2"."party_id" AND "t2"."form_id" = (SELECT "form_id" FROM "party_forms" GROUP BY "form_id" ORDER BY COUNT(*) DESC FETCH FIRST 1 ROWS ONLY) | 0.225586 |
CREATE TABLE table_name_7 (date VARCHAR2, distance VARCHAR2)
| When did Hein Vergeer have a distance of 5,000m? | SELECT date FROM table_name_7 WHERE distance = "5,000m" | SELECT "date" FROM "table_name_7" WHERE "5,000m" = "distance" | 0.05957 |
CREATE TABLE table_name_86 (roll VARCHAR2, area VARCHAR2, decile VARCHAR2)
| What is the roll number of the school in Aramoho with a decile of 1? | SELECT roll FROM table_name_86 WHERE area = "aramoho" AND decile = 1 | SELECT "roll" FROM "table_name_86" WHERE "aramoho" = "area" AND "decile" = 1 | 0.074219 |
CREATE TABLE table_39583 ("Tournament" CLOB, "2006" CLOB, "2007" CLOB, "2008" CLOB, "2009" CLOB, "2010" CLOB, "2011" CLOB, "2012" CLOB)
| What tournament in 2006 had a score of 0-0? | SELECT "Tournament" FROM table_39583 WHERE "2006" = '0-0' | SELECT "Tournament" FROM "table_39583" WHERE "2006" = '0-0' | 0.057617 |
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
| give me the number of patients whose insurance is medicare and diagnoses long title is pulmonary collapse? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.insurance = "Medicare" AND diagnoses.long_title = "Pulmonary collapse" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "Pulmonary collapse" = "diagnoses"."long_title" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" WHERE "Medicare" = "demographic"."insurance" | 0.227539 |
CREATE TABLE table_204_68 (id NUMBER, "name" CLOB, "profession" CLOB, "hometown" CLOB, "term expires" NUMBER, "office" CLOB)
| other members of the state regents from tulsa besides joseph l. parker jr. . | SELECT "name" FROM table_204_68 WHERE "hometown" = 'tulsa' AND "name" <> 'joseph l. parker jr' | SELECT "name" FROM "table_204_68" WHERE "hometown" = 'tulsa' AND "name" <> 'joseph l. parker jr' | 0.09375 |
CREATE TABLE table_79568 ("Rank" FLOAT, "Athletes" CLOB, "Country" CLOB, "Time" CLOB, "Notes" CLOB)
| What is Calvin Mokoto's average rank? | SELECT AVG("Rank") FROM table_79568 WHERE "Athletes" = 'calvin mokoto' | SELECT AVG("Rank") FROM "table_79568" WHERE "Athletes" = 'calvin mokoto' | 0.070313 |
CREATE TABLE table_27304 ("Team" CLOB, "#" FLOAT, "Primary Sponsor" CLOB, "Driver ( s ) " CLOB, "Listed Owner ( s ) " CLOB, "Engine" CLOB, "Chassis" CLOB)
| What chassis is on the car repped by team rahal letterman lanigan racing? | SELECT "Chassis" FROM table_27304 WHERE "Team" = 'Rahal Letterman Lanigan Racing' | SELECT "Chassis" FROM "table_27304" WHERE "Team" = 'Rahal Letterman Lanigan Racing' | 0.081055 |
CREATE TABLE Engineer_Skills (engineer_id NUMBER, skill_id NUMBER)
CREATE TABLE Maintenance_Contracts (maintenance_contract_id NUMBER, maintenance_contract_company_id NUMBER, contract_start_date DATETIME, contract_end_date DATETIME, other_contract_details VARCHAR2)
CREATE TABLE Fault_Log (fault_log_entry_id NUMBER, asset_id NUMBER, recorded_by_staff_id NUMBER, fault_log_entry_datetime DATETIME, fault_description VARCHAR2, other_fault_details VARCHAR2)
CREATE TABLE Maintenance_Engineers (engineer_id NUMBER, company_id NUMBER, first_name VARCHAR2, last_name VARCHAR2, other_details VARCHAR2)
CREATE TABLE Fault_Log_Parts (fault_log_entry_id NUMBER, part_fault_id NUMBER, fault_status VARCHAR2)
CREATE TABLE Staff (staff_id NUMBER, staff_name VARCHAR2, gender VARCHAR2, other_staff_details VARCHAR2)
CREATE TABLE Part_Faults (part_fault_id NUMBER, part_id NUMBER, fault_short_name VARCHAR2, fault_description VARCHAR2, other_fault_details VARCHAR2)
CREATE TABLE Skills (skill_id NUMBER, skill_code VARCHAR2, skill_description VARCHAR2)
CREATE TABLE Assets (asset_id NUMBER, maintenance_contract_id NUMBER, supplier_company_id NUMBER, asset_details VARCHAR2, asset_make VARCHAR2, asset_model VARCHAR2, asset_acquired_date DATETIME, asset_disposed_date DATETIME, other_asset_details VARCHAR2)
CREATE TABLE Asset_Parts (asset_id NUMBER, part_id NUMBER)
CREATE TABLE Third_Party_Companies (company_id NUMBER, company_type VARCHAR2, company_name VARCHAR2, company_address VARCHAR2, other_company_details VARCHAR2)
CREATE TABLE Parts (part_id NUMBER, part_name VARCHAR2, chargeable_yn VARCHAR2, chargeable_amount VARCHAR2, other_part_details VARCHAR2)
CREATE TABLE Engineer_Visits (engineer_visit_id NUMBER, contact_staff_id NUMBER, engineer_id NUMBER, fault_log_entry_id NUMBER, fault_status VARCHAR2, visit_start_datetime DATETIME, visit_end_datetime DATETIME, other_visit_details VARCHAR2)
CREATE TABLE Skills_Required_To_Fix (part_fault_id NUMBER, skill_id NUMBER)
| How many staffs have contacted with each engineer? Give me a bar chart grouping by each engineer's last name, could you sort by the y axis from low to high? | SELECT last_name, COUNT(last_name) FROM Staff AS T1 JOIN Engineer_Visits AS T2 ON T1.staff_id = T2.contact_staff_id JOIN Maintenance_Engineers AS T3 ON T2.engineer_id = T3.engineer_id GROUP BY last_name ORDER BY COUNT(last_name) | SELECT "last_name", COUNT("last_name") FROM "Staff" "T1" JOIN "Engineer_Visits" "T2" ON "T1"."staff_id" = "T2"."contact_staff_id" JOIN "Maintenance_Engineers" "T3" ON "T2"."engineer_id" = "T3"."engineer_id" GROUP BY "last_name" ORDER BY COUNT("last_name") | 0.249023 |
CREATE TABLE table_14959246_2 (attendance VARCHAR2, date VARCHAR2)
| What was the attendance at the game played on December 10, 1972? | SELECT attendance FROM table_14959246_2 WHERE date = "December 10, 1972" | SELECT "attendance" FROM "table_14959246_2" WHERE "December 10, 1972" = "date" | 0.076172 |
CREATE TABLE table_69281 ("Year" FLOAT, "Class" CLOB, "Tyres" CLOB, "Team" CLOB, "Co-Drivers" CLOB, "Laps" FLOAT, "Pos." CLOB)
| Which class has laps under 77? | SELECT "Class" FROM table_69281 WHERE "Laps" < '77' | SELECT "Class" FROM "table_69281" WHERE "Laps" < '77' | 0.051758 |
CREATE TABLE table_57171 ("Date" CLOB, "Opponent" CLOB, "Score" CLOB, "Loss" CLOB, "Attendance" FLOAT, "Record" CLOB)
| Name the loss on may 29 | SELECT "Loss" FROM table_57171 WHERE "Date" = 'may 29' | SELECT "Loss" FROM "table_57171" WHERE "Date" = 'may 29' | 0.054688 |
CREATE TABLE institution (institution_id CLOB, institution CLOB, location CLOB, founded NUMBER, type CLOB, enrollment NUMBER, team CLOB, primary_conference CLOB, building_id CLOB)
CREATE TABLE building (building_id CLOB, name CLOB, street_address CLOB, years_as_tallest CLOB, height_feet NUMBER, floors NUMBER)
CREATE TABLE protein (common_name CLOB, protein_name CLOB, divergence_from_human_lineage NUMBER, accession_number CLOB, sequence_length NUMBER, sequence_identity_to_human_protein CLOB, institution_id CLOB)
| How many buildings are there? | SELECT COUNT(*) FROM building | SELECT COUNT(*) FROM "building" | 0.030273 |
CREATE TABLE Apartment_Facilities (apt_id NUMBER, facility_code CHAR)
CREATE TABLE Apartment_Bookings (apt_booking_id NUMBER, apt_id NUMBER, guest_id NUMBER, booking_status_code CHAR, booking_start_date DATETIME, booking_end_date DATETIME)
CREATE TABLE Guests (guest_id NUMBER, gender_code CHAR, guest_first_name VARCHAR2, guest_last_name VARCHAR2, date_of_birth DATETIME)
CREATE TABLE Apartments (apt_id NUMBER, building_id NUMBER, apt_type_code CHAR, apt_number CHAR, bathroom_count NUMBER, bedroom_count NUMBER, room_count CHAR)
CREATE TABLE Apartment_Buildings (building_id NUMBER, building_short_name CHAR, building_full_name VARCHAR2, building_description VARCHAR2, building_address VARCHAR2, building_manager VARCHAR2, building_phone VARCHAR2)
CREATE TABLE View_Unit_Status (apt_id NUMBER, apt_booking_id NUMBER, status_date DATETIME, available_yn BIT)
| What is the number of booking start dates of the apartments with more than 2 bedrooms for each year? Return a bar chart. | SELECT booking_start_date, COUNT(booking_start_date) FROM Apartment_Bookings AS T1 JOIN Apartments AS T2 ON T1.apt_id = T2.apt_id WHERE T2.bedroom_count > 2 | SELECT "booking_start_date", COUNT("booking_start_date") FROM "Apartment_Bookings" "T1" JOIN "Apartments" "T2" ON "T1"."apt_id" = "T2"."apt_id" AND "T2"."bedroom_count" > 2 | 0.167969 |
CREATE TABLE table_name_54 (visitor VARCHAR2, home VARCHAR2, series VARCHAR2)
| WHo has a Home of philadelphia and a Series of flyers lead 1 0? | SELECT visitor FROM table_name_54 WHERE home = "philadelphia" AND series = "flyers lead 1–0" | SELECT "visitor" FROM "table_name_54" WHERE "flyers lead 1–0" = "series" AND "home" = "philadelphia" | 0.097656 |
CREATE TABLE table_63918 ("Rank" FLOAT, "Nation" CLOB, "Gold" FLOAT, "Silver" FLOAT, "Bronze" FLOAT, "Total" FLOAT)
| What is the Total number of medals for the Nation with 7 or less Bronze medals and 1 Silver medal with a Rank of 9 or larger? | SELECT MIN("Total") FROM table_63918 WHERE "Bronze" < '7' AND "Silver" = '1' AND "Rank" > '9' | SELECT MIN("Total") FROM "table_63918" WHERE "Bronze" < '7' AND "Rank" > '9' AND "Silver" = '1' | 0.092773 |
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
| count the number of medicaid patients who have bradycardia primary disease. | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.insurance = "Medicaid" AND demographic.diagnosis = "BRADYCARDIA" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "BRADYCARDIA" = "demographic"."diagnosis" AND "Medicaid" = "demographic"."insurance" | 0.155273 |
CREATE TABLE table_3588 ("Year" FLOAT, "Starts" FLOAT, "Wins" FLOAT, "Top 10" FLOAT, "Avg. Start" CLOB, "Avg. Finish" CLOB, "Winnings" CLOB, "Position" CLOB, "Team ( s ) " CLOB)
| How many positions are there for RB1 Motorsports? | SELECT COUNT("Position") FROM table_3588 WHERE "Team(s)" = 'RB1 Motorsports' | SELECT COUNT("Position") FROM "table_3588" WHERE "Team(s)" = 'RB1 Motorsports' | 0.076172 |
CREATE TABLE table_40076 ("Ring name" CLOB, "Current rank" CLOB, "Debut" CLOB, "Stable" CLOB, "Birthplace" CLOB)
| What is Current Rank, when Ring Name is Kimurayama Mamoru? | SELECT "Current rank" FROM table_40076 WHERE "Ring name" = 'kimurayama mamoru' | SELECT "Current rank" FROM "table_40076" WHERE "Ring name" = 'kimurayama mamoru' | 0.078125 |
CREATE TABLE table_name_62 (season VARCHAR2, player VARCHAR2, opponent VARCHAR2)
| Which season did Tich Freeman play against opponent V Warwickshire? | SELECT season FROM table_name_62 WHERE player = "tich freeman" AND opponent = "v warwickshire" | SELECT "season" FROM "table_name_62" WHERE "opponent" = "v warwickshire" AND "player" = "tich freeman" | 0.099609 |
CREATE TABLE table_10120207_8 (tv_season VARCHAR2, season VARCHAR2)
| What is the year of the season that was 12? | SELECT tv_season FROM table_10120207_8 WHERE season = 12 | SELECT "tv_season" FROM "table_10120207_8" WHERE "season" = 12 | 0.060547 |
CREATE TABLE table_34517 ("Year" FLOAT, "Champion" CLOB, "Country" CLOB, "Venue" CLOB, "Location" CLOB, "Score" CLOB, "To par" CLOB, "Purse ( $ ) " FLOAT, "Winner's share ( $ ) " FLOAT)
| Which Champion has a Venue of old waverly golf club? | SELECT "Champion" FROM table_34517 WHERE "Venue" = 'old waverly golf club' | SELECT "Champion" FROM "table_34517" WHERE "Venue" = 'old waverly golf club' | 0.074219 |
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
| what is the number of patients whose ethnicity is american indian/alaska native and primary disease is stemi? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.ethnicity = "AMERICAN INDIAN/ALASKA NATIVE" AND demographic.diagnosis = "STEMI" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "AMERICAN INDIAN/ALASKA NATIVE" = "demographic"."ethnicity" AND "STEMI" = "demographic"."diagnosis" | 0.169922 |
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
| what is the number of patients whose admission type is elective and drug type is main? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.admission_type = "ELECTIVE" AND prescriptions.drug_type = "MAIN" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "prescriptions" ON "MAIN" = "prescriptions"."drug_type" AND "demographic"."hadm_id" = "prescriptions"."hadm_id" WHERE "ELECTIVE" = "demographic"."admission_type" | 0.229492 |
CREATE TABLE ENROLL (CLASS_CODE VARCHAR2, STU_NUM NUMBER, ENROLL_GRADE VARCHAR2)
CREATE TABLE DEPARTMENT (DEPT_CODE VARCHAR2, DEPT_NAME VARCHAR2, SCHOOL_CODE VARCHAR2, EMP_NUM NUMBER, DEPT_ADDRESS VARCHAR2, DEPT_EXTENSION VARCHAR2)
CREATE TABLE STUDENT (STU_NUM NUMBER, STU_LNAME VARCHAR2, STU_FNAME VARCHAR2, STU_INIT VARCHAR2, STU_DOB DATETIME, STU_HRS NUMBER, STU_CLASS VARCHAR2, STU_GPA FLOAT, STU_TRANSFER NUMBER, DEPT_CODE VARCHAR2, STU_PHONE VARCHAR2, PROF_NUM NUMBER)
CREATE TABLE COURSE (CRS_CODE VARCHAR2, DEPT_CODE VARCHAR2, CRS_DESCRIPTION VARCHAR2, CRS_CREDIT FLOAT)
CREATE TABLE PROFESSOR (EMP_NUM NUMBER, DEPT_CODE VARCHAR2, PROF_OFFICE VARCHAR2, PROF_EXTENSION VARCHAR2, PROF_HIGH_DEGREE VARCHAR2)
CREATE TABLE EMPLOYEE (EMP_NUM NUMBER, EMP_LNAME VARCHAR2, EMP_FNAME VARCHAR2, EMP_INITIAL VARCHAR2, EMP_JOBCODE VARCHAR2, EMP_HIREDATE DATETIME, EMP_DOB DATETIME)
CREATE TABLE CLASS (CLASS_CODE VARCHAR2, CRS_CODE VARCHAR2, CLASS_SECTION VARCHAR2, CLASS_TIME VARCHAR2, CLASS_ROOM VARCHAR2, PROF_NUM NUMBER)
| Draw a bar chart for how many sections does each course have? | SELECT CRS_CODE, COUNT(*) FROM CLASS GROUP BY CRS_CODE | SELECT "CRS_CODE", COUNT(*) FROM "CLASS" GROUP BY "CRS_CODE" | 0.058594 |
CREATE TABLE table_29109 ("Series #" FLOAT, "Season #" FLOAT, "Title" CLOB, "Director" CLOB, "Writer" CLOB, "Original Airdate" CLOB)
| What are the original air date(s) for season episode 20? | SELECT "Original Airdate" FROM table_29109 WHERE "Season #" = '20' | SELECT "Original Airdate" FROM "table_29109" WHERE "Season #" = '20' | 0.066406 |
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
| give me the number of patients whose language is ptun and year of birth is less than 2066? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.language = "PTUN" AND demographic.dob_year < "2066" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "2066" > "demographic"."dob_year" AND "PTUN" = "demographic"."language" | 0.142578 |
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
| what is average age of patients whose death status is 0 and primary disease is ventricular tachycardia? | SELECT AVG(demographic.age) FROM demographic WHERE demographic.expire_flag = "0" AND demographic.diagnosis = "VENTRICULAR TACHYCARDIA" | SELECT AVG("demographic"."age") FROM "demographic" WHERE "0" = "demographic"."expire_flag" AND "VENTRICULAR TACHYCARDIA" = "demographic"."diagnosis" | 0.144531 |
CREATE TABLE table_49123 ("Date" CLOB, "Visitor" CLOB, "Score" CLOB, "Home" CLOB, "Decision" CLOB, "Attendance" FLOAT, "Record" CLOB)
| What is the attendance of the game with the NY Islanders as home team? | SELECT COUNT("Attendance") FROM table_49123 WHERE "Home" = 'ny islanders' | SELECT COUNT("Attendance") FROM "table_49123" WHERE "Home" = 'ny islanders' | 0.073242 |
CREATE TABLE icustays (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, first_careunit CLOB, last_careunit CLOB, first_wardid NUMBER, last_wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
CREATE TABLE inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
CREATE TABLE prescriptions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, startdate TIME, enddate TIME, drug CLOB, dose_val_rx CLOB, dose_unit_rx CLOB, route CLOB)
CREATE TABLE transfers (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, eventtype CLOB, careunit CLOB, wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
CREATE TABLE microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
CREATE TABLE admissions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, admittime TIME, dischtime TIME, admission_type CLOB, admission_location CLOB, discharge_location CLOB, insurance CLOB, language CLOB, marital_status CLOB, ethnicity CLOB, age NUMBER)
CREATE TABLE chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
CREATE TABLE d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
| how many of metoprolol were prescribed to patient 92846 in total in this hospital visit? | SELECT SUM(prescriptions.dose_val_rx) FROM prescriptions WHERE prescriptions.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 92846 AND admissions.dischtime IS NULL) AND prescriptions.drug = 'metoprolol' | WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."dischtime" IS NULL AND "admissions"."subject_id" = 92846 GROUP BY "hadm_id") SELECT SUM("prescriptions"."dose_val_rx") FROM "prescriptions" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "prescriptions"."hadm_id" WHERE "prescriptions"."drug" = 'metoprolol' AND NOT "_u_0"."" IS NULL | 0.349609 |
CREATE TABLE equipment_sequence (aircraft_code_sequence VARCHAR2, aircraft_code VARCHAR2)
CREATE TABLE time_interval (period CLOB, begin_time NUMBER, end_time NUMBER)
CREATE TABLE time_zone (time_zone_code CLOB, time_zone_name CLOB, hours_from_gmt NUMBER)
CREATE TABLE compartment_class (compartment VARCHAR2, class_type VARCHAR2)
CREATE TABLE city (city_code VARCHAR2, city_name VARCHAR2, state_code VARCHAR2, country_name VARCHAR2, time_zone_code VARCHAR2)
CREATE TABLE flight_stop (flight_id NUMBER, stop_number NUMBER, stop_days CLOB, stop_airport CLOB, arrival_time NUMBER, arrival_airline CLOB, arrival_flight_number NUMBER, departure_time NUMBER, departure_airline CLOB, departure_flight_number NUMBER, stop_time NUMBER)
CREATE TABLE month (month_number NUMBER, month_name CLOB)
CREATE TABLE flight (aircraft_code_sequence CLOB, airline_code VARCHAR2, airline_flight CLOB, arrival_time NUMBER, connections NUMBER, departure_time NUMBER, dual_carrier CLOB, flight_days CLOB, flight_id NUMBER, flight_number NUMBER, from_airport VARCHAR2, meal_code CLOB, stops NUMBER, time_elapsed NUMBER, to_airport VARCHAR2)
CREATE TABLE code_description (code VARCHAR2, description CLOB)
CREATE TABLE flight_fare (flight_id NUMBER, fare_id NUMBER)
CREATE TABLE airport (airport_code VARCHAR2, airport_name CLOB, airport_location CLOB, state_code VARCHAR2, country_name VARCHAR2, time_zone_code VARCHAR2, minimum_connect_time NUMBER)
CREATE TABLE date_day (month_number NUMBER, day_number NUMBER, year NUMBER, day_name VARCHAR2)
CREATE TABLE days (days_code VARCHAR2, day_name VARCHAR2)
CREATE TABLE airport_service (city_code VARCHAR2, airport_code VARCHAR2, miles_distant NUMBER, direction VARCHAR2, minutes_distant NUMBER)
CREATE TABLE aircraft (aircraft_code VARCHAR2, aircraft_description VARCHAR2, manufacturer VARCHAR2, basic_type VARCHAR2, engines NUMBER, propulsion VARCHAR2, wide_body VARCHAR2, wing_span NUMBER, length NUMBER, weight NUMBER, capacity NUMBER, pay_load NUMBER, cruising_speed NUMBER, range_miles NUMBER, pressurized VARCHAR2)
CREATE TABLE class_of_service (booking_class VARCHAR2, rank NUMBER, class_description CLOB)
CREATE TABLE dual_carrier (main_airline VARCHAR2, low_flight_number NUMBER, high_flight_number NUMBER, dual_airline VARCHAR2, service_name CLOB)
CREATE TABLE flight_leg (flight_id NUMBER, leg_number NUMBER, leg_flight NUMBER)
CREATE TABLE food_service (meal_code CLOB, meal_number NUMBER, compartment CLOB, meal_description VARCHAR2)
CREATE TABLE fare (fare_id NUMBER, from_airport VARCHAR2, to_airport VARCHAR2, fare_basis_code CLOB, fare_airline CLOB, restriction_code CLOB, one_direction_cost NUMBER, round_trip_cost NUMBER, round_trip_required VARCHAR2)
CREATE TABLE airline (airline_code VARCHAR2, airline_name CLOB, note CLOB)
CREATE TABLE restriction (restriction_code CLOB, advance_purchase NUMBER, stopovers CLOB, saturday_stay_required CLOB, minimum_stay NUMBER, maximum_stay NUMBER, application CLOB, no_discounts CLOB)
CREATE TABLE ground_service (city_code CLOB, airport_code CLOB, transport_type CLOB, ground_fare NUMBER)
CREATE TABLE state (state_code CLOB, state_name CLOB, country_name CLOB)
CREATE TABLE fare_basis (fare_basis_code CLOB, booking_class CLOB, class_type CLOB, premium CLOB, economy CLOB, discounted CLOB, night CLOB, season CLOB, basis_days CLOB)
| what is the total seating capacity of all aircraft of AA | SELECT DISTINCT aircraft.aircraft_code, aircraft.capacity FROM aircraft, equipment_sequence, flight WHERE equipment_sequence.aircraft_code = aircraft.aircraft_code AND flight.aircraft_code_sequence = equipment_sequence.aircraft_code_sequence AND flight.airline_code = 'AA' | SELECT DISTINCT "aircraft"."aircraft_code", "aircraft"."capacity" FROM "aircraft" JOIN "equipment_sequence" ON "aircraft"."aircraft_code" = "equipment_sequence"."aircraft_code" JOIN "flight" ON "equipment_sequence"."aircraft_code_sequence" = "flight"."aircraft_code_sequence" AND "flight"."airline_code" = 'AA' | 0.302734 |
CREATE TABLE table_21716139_1 (destination VARCHAR2, frequency VARCHAR2, train_name VARCHAR2)
| How many destinations have a weekly frequency and are named AC Express? | SELECT COUNT(destination) FROM table_21716139_1 WHERE frequency = "Weekly" AND train_name = "AC Express" | SELECT COUNT("destination") FROM "table_21716139_1" WHERE "AC Express" = "train_name" AND "Weekly" = "frequency" | 0.109375 |
CREATE TABLE club (Club_ID NUMBER, name CLOB, Region CLOB, Start_year CLOB)
CREATE TABLE competition (Competition_ID NUMBER, Year FLOAT, Competition_type CLOB, Country CLOB)
CREATE TABLE club_rank (Rank FLOAT, Club_ID NUMBER, Gold FLOAT, Silver FLOAT, Bronze FLOAT, Total FLOAT)
CREATE TABLE player (Player_ID NUMBER, name CLOB, Position CLOB, Club_ID NUMBER, Apps FLOAT, Tries FLOAT, Goals CLOB, Points FLOAT)
CREATE TABLE competition_result (Competition_ID NUMBER, Club_ID_1 NUMBER, Club_ID_2 NUMBER, Score CLOB)
| List the positions of players whose average number of points scored by that position is larger than 20, compare the number of positions, and I want to rank from low to high by the X. | SELECT Position, COUNT(Position) FROM player GROUP BY Position HAVING AVG(Points) >= 20 ORDER BY Position | SELECT "Position", COUNT("Position") FROM "player" GROUP BY "Position" HAVING AVG("Points") >= 20 ORDER BY "Position" | 0.114258 |
CREATE TABLE table_64818 ("Ref#" FLOAT, "Name" CLOB, "Built" FLOAT, "Location" CLOB, "Construction" CLOB)
| What is the location of the Durfee Mill No. 1, built before 1872 ? | SELECT "Location" FROM table_64818 WHERE "Built" < '1872' AND "Name" = 'durfee mill no. 1' | SELECT "Location" FROM "table_64818" WHERE "Built" < '1872' AND "Name" = 'durfee mill no. 1' | 0.089844 |
CREATE TABLE airlines (name VARCHAR2, alid VARCHAR2)
CREATE TABLE routes (alid VARCHAR2)
| Find the name of airline which runs the most number of routes. | SELECT T1.name FROM airlines AS T1 JOIN routes AS T2 ON T1.alid = T2.alid GROUP BY T1.name ORDER BY COUNT(*) DESC LIMIT 1 | SELECT "T1"."name" FROM "airlines" "T1" JOIN "routes" "T2" ON "T1"."alid" = "T2"."alid" GROUP BY "T1"."name" ORDER BY COUNT(*) DESC FETCH FIRST 1 ROWS ONLY | 0.151367 |
CREATE TABLE treatment (treatmentid NUMBER, patientunitstayid NUMBER, treatmentname CLOB, treatmenttime TIME)
CREATE TABLE cost (costid NUMBER, uniquepid CLOB, patienthealthsystemstayid NUMBER, eventtype CLOB, eventid NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE medication (medicationid NUMBER, patientunitstayid NUMBER, drugname CLOB, dosage CLOB, routeadmin CLOB, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE vitalperiodic (vitalperiodicid NUMBER, patientunitstayid NUMBER, temperature NUMBER, sao2 NUMBER, heartrate NUMBER, respiration NUMBER, systemicsystolic NUMBER, systemicdiastolic NUMBER, systemicmean NUMBER, observationtime TIME)
CREATE TABLE diagnosis (diagnosisid NUMBER, patientunitstayid NUMBER, diagnosisname CLOB, diagnosistime TIME, icd9code CLOB)
CREATE TABLE patient (uniquepid CLOB, patienthealthsystemstayid NUMBER, patientunitstayid NUMBER, gender CLOB, age CLOB, ethnicity CLOB, hospitalid NUMBER, wardid NUMBER, admissionheight NUMBER, admissionweight NUMBER, dischargeweight NUMBER, hospitaladmittime TIME, hospitaladmitsource CLOB, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus CLOB)
CREATE TABLE microlab (microlabid NUMBER, patientunitstayid NUMBER, culturesite CLOB, organism CLOB, culturetakentime TIME)
CREATE TABLE allergy (allergyid NUMBER, patientunitstayid NUMBER, drugname CLOB, allergyname CLOB, allergytime TIME)
CREATE TABLE intakeoutput (intakeoutputid NUMBER, patientunitstayid NUMBER, cellpath CLOB, celllabel CLOB, cellvaluenumeric NUMBER, intakeoutputtime TIME)
CREATE TABLE lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime TIME)
| what was the last medication that was prescribed to patient 006-157753 during this hospital visit via im route? | SELECT medication.drugname FROM medication WHERE medication.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '006-157753' AND patient.hospitaldischargetime IS NULL)) AND medication.routeadmin = 'im' ORDER BY medication.drugstarttime DESC LIMIT 1 | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."hospitaldischargetime" IS NULL AND "patient"."uniquepid" = '006-157753' GROUP BY "patienthealthsystemstayid"), "_u_1" AS (SELECT "patient"."patientunitstayid" FROM "patient" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "patient"."patienthealthsystemstayid" WHERE NOT "_u_0"."" IS NULL GROUP BY "patientunitstayid") SELECT "medication"."drugname" FROM "medication" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "medication"."patientunitstayid" WHERE "medication"."routeadmin" = 'im' AND NOT "_u_1"."" IS NULL ORDER BY "medication"."drugstarttime" DESC FETCH FIRST 1 ROWS ONLY | 0.638672 |
CREATE TABLE table_42998 ("Player" CLOB, "Nationality" CLOB, "Position" CLOB, "Years in Orlando" CLOB, "School/Club Team" CLOB)
| Which School/Club Team has a Years in Orlando of 1997 1998? | SELECT "School/Club Team" FROM table_42998 WHERE "Years in Orlando" = '1997–1998' | SELECT "School/Club Team" FROM "table_42998" WHERE "Years in Orlando" = '1997–1998' | 0.081055 |
CREATE TABLE table_57034 ("Date" CLOB, "Tournament" CLOB, "Location" CLOB, "Purse ( $ ) " FLOAT, "Winner" CLOB, "Score" CLOB, "1st Prize ( $ ) " FLOAT)
| For sep 18 what is the total number of 1 prize ($) | SELECT COUNT("1st Prize( $ )") FROM table_57034 WHERE "Date" = 'sep 18' | SELECT COUNT("1st Prize( $ )") FROM "table_57034" WHERE "Date" = 'sep 18' | 0.071289 |
CREATE TABLE race (name VARCHAR2, CLASS VARCHAR2, date VARCHAR2)
| Show name, class, and date for all races. | SELECT name, CLASS, date FROM race | SELECT "name", "CLASS", "date" FROM "race" | 0.041016 |
CREATE TABLE Products (Code NUMBER, Name VARCHAR2, Price NUMBER, Manufacturer NUMBER)
CREATE TABLE Manufacturers (Code NUMBER, Name VARCHAR2, Headquarter VARCHAR2, Founder VARCHAR2, Revenue FLOAT)
| For those records from the products and each product's manufacturer, draw a bar chart about the distribution of founder and the average of manufacturer , and group by attribute founder, and list from high to low by the Y-axis. | SELECT Founder, AVG(Manufacturer) FROM Products AS T1 JOIN Manufacturers AS T2 ON T1.Manufacturer = T2.Code GROUP BY Founder ORDER BY AVG(Manufacturer) DESC | SELECT "Founder", AVG("Manufacturer") FROM "Products" "T1" JOIN "Manufacturers" "T2" ON "T1"."Manufacturer" = "T2"."Code" GROUP BY "Founder" ORDER BY AVG("Manufacturer") DESC | 0.169922 |
CREATE TABLE chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
CREATE TABLE transfers (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, eventtype CLOB, careunit CLOB, wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
CREATE TABLE d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE icustays (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, first_careunit CLOB, last_careunit CLOB, first_wardid NUMBER, last_wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE prescriptions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, startdate TIME, enddate TIME, drug CLOB, dose_val_rx CLOB, dose_unit_rx CLOB, route CLOB)
CREATE TABLE admissions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, admittime TIME, dischtime TIME, admission_type CLOB, admission_location CLOB, discharge_location CLOB, insurance CLOB, language CLOB, marital_status CLOB, ethnicity CLOB, age NUMBER)
CREATE TABLE diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
CREATE TABLE labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
CREATE TABLE d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
CREATE TABLE patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
CREATE TABLE cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
| patient 90019 had been admitted to the hospital since 5 years ago? | SELECT COUNT(*) > 0 FROM admissions WHERE admissions.subject_id = 90019 AND DATETIME(admissions.admittime) >= DATETIME(CURRENT_TIME(), '-5 year') | SELECT COUNT(*) > 0 FROM "admissions" WHERE "admissions"."subject_id" = 90019 AND DATETIME("admissions"."admittime") >= DATETIME(CURRENT_TIME(), '-5 year') | 0.151367 |
CREATE TABLE table_22247 ("Name" CLOB, "Notability" CLOB, "Reason for Seeking Refuge" CLOB, "Country" CLOB, "City" CLOB, "Missions Country" CLOB, "Start Date" CLOB, "End Date" CLOB, "Resolution" CLOB)
| Which city has the missions city of Australia? | SELECT "City" FROM table_22247 WHERE "Missions Country" = 'Australia' | SELECT "City" FROM "table_22247" WHERE "Missions Country" = 'Australia' | 0.069336 |
CREATE TABLE table_54471 ("Rank" FLOAT, "Player" CLOB, "Country" CLOB, "Earnings ( $ ) " FLOAT, "Events" FLOAT, "Wins" FLOAT)
| What are the earnings for jim colbert with under 4 wins? | SELECT COUNT("Earnings ( $ )") FROM table_54471 WHERE "Player" = 'jim colbert' AND "Wins" < '4' | SELECT COUNT("Earnings ( $ )") FROM "table_54471" WHERE "Player" = 'jim colbert' AND "Wins" < '4' | 0.094727 |
CREATE TABLE table_name_3 (week NUMBER, attendance VARCHAR2)
| What week had attendance of 64,146? | SELECT MIN(week) FROM table_name_3 WHERE attendance = 64 OFFSET 146 | SELECT MIN("week") FROM "table_name_3" WHERE "attendance" = 64 OFFSET 146 ROWS | 0.076172 |
CREATE TABLE table_19272 ("Player" CLOB, "Position" CLOB, "Starter" CLOB, "Touchdowns" FLOAT, "Extra points" FLOAT, "Field goals" FLOAT, "Points" FLOAT)
| Name the number of points for right halfback and starter being yes | SELECT COUNT("Points") FROM table_19272 WHERE "Position" = 'Right halfback' AND "Starter" = 'yes' | SELECT COUNT("Points") FROM "table_19272" WHERE "Position" = 'Right halfback' AND "Starter" = 'yes' | 0.09668 |
CREATE TABLE table_name_16 (record VARCHAR2, location VARCHAR2, date VARCHAR2)
| Can you tell me the Record that has the Location of fleetcenter, and the Date of fri. apr. 5? | SELECT record FROM table_name_16 WHERE location = "fleetcenter" AND date = "fri. apr. 5" | SELECT "record" FROM "table_name_16" WHERE "date" = "fri. apr. 5" AND "fleetcenter" = "location" | 0.09375 |
CREATE TABLE table_name_43 (simplified_chinese VARCHAR2, standard_order VARCHAR2, transcription__based_on_pinyin_ VARCHAR2)
| What is the simplified Chinese with a standard order over 4, and the transcription of Bei Hui Feng? | SELECT simplified_chinese FROM table_name_43 WHERE standard_order > 4 AND transcription__based_on_pinyin_ = "bei hui feng" | SELECT "simplified_chinese" FROM "table_name_43" WHERE "bei hui feng" = "transcription__based_on_pinyin_" AND "standard_order" > 4 | 0.126953 |
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
| provide the number of patients whose admission type is emergency and procedure short title is part sm bowel resect nec? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.admission_type = "EMERGENCY" AND procedures.short_title = "Part sm bowel resect NEC" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "procedures" ON "Part sm bowel resect NEC" = "procedures"."short_title" AND "demographic"."hadm_id" = "procedures"."hadm_id" WHERE "EMERGENCY" = "demographic"."admission_type" | 0.243164 |
CREATE TABLE table_20345624_2 (title VARCHAR2, original_airdate VARCHAR2)
| Name the title that aired on 5 august 1967 | SELECT COUNT(title) FROM table_20345624_2 WHERE original_airdate = "5 August 1967" | SELECT COUNT("title") FROM "table_20345624_2" WHERE "5 August 1967" = "original_airdate" | 0.085938 |
CREATE TABLE table_17663 ("Strongs #" CLOB, "Hebrew word" CLOB, "Strongs Transliteration" CLOB, "Strongs Words Compounded" CLOB, "English Spelling" CLOB)
| What is the strongs # for the hebrew word ? | SELECT "Strongs #" FROM table_17663 WHERE "Hebrew word" = 'יִרְמְיָה' | SELECT "Strongs #" FROM "table_17663" WHERE "Hebrew word" = 'יִרְמְיָה' | 0.069336 |
CREATE TABLE table_name_79 (year NUMBER, entrant VARCHAR2)
| What is the largest year with an Entrant of ron harris / team lotus? | SELECT MAX(year) FROM table_name_79 WHERE entrant = "ron harris / team lotus" | SELECT MAX("year") FROM "table_name_79" WHERE "entrant" = "ron harris / team lotus" | 0.081055 |
CREATE TABLE table_204_647 (id NUMBER, "year" NUMBER, "film" CLOB, "role" CLOB, "language" CLOB)
| how many films were made in 2008 | SELECT COUNT("film") FROM table_204_647 WHERE "year" = 2008 | SELECT COUNT("film") FROM "table_204_647" WHERE "year" = 2008 | 0.05957 |
CREATE TABLE table_22058547_1 (wiaa_classification VARCHAR2, high_school VARCHAR2)
| how many wiaa classifications does fort vancouver high school have? | SELECT COUNT(wiaa_classification) FROM table_22058547_1 WHERE high_school = "Fort Vancouver" | SELECT COUNT("wiaa_classification") FROM "table_22058547_1" WHERE "Fort Vancouver" = "high_school" | 0.095703 |
CREATE TABLE election (Delegate VARCHAR2, Committee VARCHAR2)
| Show the delegate and committee information of elections. | SELECT Delegate, Committee FROM election | SELECT "Delegate", "Committee" FROM "election" | 0.044922 |
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
| how many patients have stayed in the hospital for more than 3 days with a drug name phenylephrine? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.days_stay > "3" AND prescriptions.drug = "PHENYLEPHrine" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "prescriptions" ON "PHENYLEPHrine" = "prescriptions"."drug" AND "demographic"."hadm_id" = "prescriptions"."hadm_id" WHERE "3" < "demographic"."days_stay" | 0.22168 |
CREATE TABLE table_name_92 (english VARCHAR2, latin VARCHAR2)
| What is the English word for the Latin word uxor? | SELECT english FROM table_name_92 WHERE latin = "uxor" | SELECT "english" FROM "table_name_92" WHERE "latin" = "uxor" | 0.058594 |
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
| what is the number of patients whose primary disease is sigmoid diverticulitis, colovestical fistula/sda and drug route is po? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.diagnosis = "SIGMOID DIVERTICULITIS, COLOVESTICAL FISTULA/SDA" AND prescriptions.route = "PO" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "prescriptions" ON "PO" = "prescriptions"."route" AND "demographic"."hadm_id" = "prescriptions"."hadm_id" WHERE "SIGMOID DIVERTICULITIS, COLOVESTICAL FISTULA/SDA" = "demographic"."diagnosis" | 0.257813 |
CREATE TABLE table_15879 ("Player" CLOB, "No." CLOB, "Nationality" CLOB, "Position" CLOB, "Years in Toronto" CLOB, "School/Club Team" CLOB)
| How many players were with the school or club team La Salle? | SELECT COUNT("Player") FROM table_15879 WHERE "School/Club Team" = 'La Salle' | SELECT COUNT("Player") FROM "table_15879" WHERE "School/Club Team" = 'La Salle' | 0.077148 |
CREATE TABLE table_16388230_1 (date VARCHAR2, home_team VARCHAR2)
| How many days did Hawthorn play as a home team? | SELECT COUNT(date) FROM table_16388230_1 WHERE home_team = "Hawthorn" | SELECT COUNT("date") FROM "table_16388230_1" WHERE "Hawthorn" = "home_team" | 0.073242 |
CREATE TABLE table_name_79 (attendance NUMBER, score VARCHAR2)
| What was the total attendance for the 3:1 game? | SELECT SUM(attendance) FROM table_name_79 WHERE score = "3:1" | SELECT SUM("attendance") FROM "table_name_79" WHERE "3:1" = "score" | 0.06543 |
CREATE TABLE table_60318 ("Place" CLOB, "Player" CLOB, "Country" CLOB, "Score" CLOB, "To par" CLOB)
| What is the to par for the score 72-69-68=209? | SELECT "To par" FROM table_60318 WHERE "Score" = '72-69-68=209' | SELECT "To par" FROM "table_60318" WHERE "Score" = '72-69-68=209' | 0.063477 |
CREATE TABLE table_24204 ("Game" FLOAT, "Date" CLOB, "Opponent" CLOB, "Result" CLOB, "Cowboys points" FLOAT, "Opponents" FLOAT, "Record" CLOB)
| How many opponents were there when the record was 6-0? | SELECT "Date" FROM table_24204 WHERE "Record" = '6-0' | SELECT "Date" FROM "table_24204" WHERE "Record" = '6-0' | 0.053711 |
CREATE TABLE labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
CREATE TABLE patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
CREATE TABLE microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
CREATE TABLE transfers (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, eventtype CLOB, careunit CLOB, wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE icustays (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, first_careunit CLOB, last_careunit CLOB, first_wardid NUMBER, last_wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE admissions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, admittime TIME, dischtime TIME, admission_type CLOB, admission_location CLOB, discharge_location CLOB, insurance CLOB, language CLOB, marital_status CLOB, ethnicity CLOB, age NUMBER)
CREATE TABLE inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
CREATE TABLE procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
CREATE TABLE chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE prescriptions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, startdate TIME, enddate TIME, drug CLOB, dose_val_rx CLOB, dose_unit_rx CLOB, route CLOB)
CREATE TABLE diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
| how many patients had a microbiology abscess test in this year? | SELECT COUNT(DISTINCT admissions.subject_id) FROM admissions WHERE admissions.hadm_id IN (SELECT microbiologyevents.hadm_id FROM microbiologyevents WHERE microbiologyevents.spec_type_desc = 'abscess' AND DATETIME(microbiologyevents.charttime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-0 year')) | WITH "_u_0" AS (SELECT "microbiologyevents"."hadm_id" FROM "microbiologyevents" WHERE "microbiologyevents"."spec_type_desc" = 'abscess' AND DATETIME("microbiologyevents"."charttime", 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-0 year') GROUP BY "hadm_id") SELECT COUNT(DISTINCT "admissions"."subject_id") FROM "admissions" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "admissions"."hadm_id" WHERE NOT "_u_0"."" IS NULL | 0.420898 |
CREATE TABLE PostsWithDeleted (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE Comments (Id NUMBER, PostId NUMBER, Score NUMBER, Text CLOB, CreationDate TIME, UserDisplayName CLOB, UserId NUMBER, ContentLicense CLOB)
CREATE TABLE Users (Id NUMBER, Reputation NUMBER, CreationDate TIME, DisplayName CLOB, LastAccessDate TIME, WebsiteUrl CLOB, Location CLOB, AboutMe CLOB, Views NUMBER, UpVotes NUMBER, DownVotes NUMBER, ProfileImageUrl CLOB, EmailHash CLOB, AccountId NUMBER)
CREATE TABLE SuggestedEdits (Id NUMBER, PostId NUMBER, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId NUMBER, Comment CLOB, Text CLOB, Title CLOB, Tags CLOB, RevisionGUID other)
CREATE TABLE PostTags (PostId NUMBER, TagId NUMBER)
CREATE TABLE ReviewTaskStates (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
CREATE TABLE Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount NUMBER)
CREATE TABLE CloseAsOffTopicReasonTypes (Id NUMBER, IsUniversal BOOLEAN, InputTitle CLOB, MarkdownInputGuidance CLOB, MarkdownPostOwnerGuidance CLOB, MarkdownPrivilegedUserGuidance CLOB, MarkdownConcensusDescription CLOB, CreationDate TIME, CreationModeratorId NUMBER, ApprovalDate TIME, ApprovalModeratorId NUMBER, DeactivationDate TIME, DeactivationModeratorId NUMBER)
CREATE TABLE VoteTypes (Id NUMBER, Name CLOB)
CREATE TABLE PostTypes (Id NUMBER, Name CLOB)
CREATE TABLE PostHistoryTypes (Id NUMBER, Name CLOB)
CREATE TABLE SuggestedEditVotes (Id NUMBER, SuggestedEditId NUMBER, UserId NUMBER, VoteTypeId NUMBER, CreationDate TIME, TargetUserId NUMBER, TargetRepChange NUMBER)
CREATE TABLE ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment CLOB)
CREATE TABLE FlagTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PendingFlags (Id NUMBER, FlagTypeId NUMBER, PostId NUMBER, CreationDate TIME, CloseReasonTypeId NUMBER, CloseAsOffTopicReasonTypeId NUMBER, DuplicateOfQuestionId NUMBER, BelongsOnBaseHostAddress CLOB)
CREATE TABLE PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId NUMBER)
CREATE TABLE Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
CREATE TABLE Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
CREATE TABLE ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId NUMBER)
CREATE TABLE TagSynonyms (Id NUMBER, SourceTagName CLOB, TargetTagName CLOB, CreationDate TIME, OwnerUserId NUMBER, AutoRenameCount NUMBER, LastAutoRename TIME, Score NUMBER, ApprovedByUserId NUMBER, ApprovalDate TIME)
CREATE TABLE PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId NUMBER)
CREATE TABLE PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
CREATE TABLE PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
CREATE TABLE PostHistory (Id NUMBER, PostHistoryTypeId NUMBER, PostId NUMBER, RevisionGUID other, CreationDate TIME, UserId NUMBER, UserDisplayName CLOB, Comment CLOB, Text CLOB, ContentLicense CLOB)
CREATE TABLE ReviewTaskTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE CloseReasonTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE ReviewTaskResultTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Posts (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
| Instantly appealing and favourite post. All who view this post favourite it | SELECT Title, Score, ViewCount, FavoriteCount FROM Posts WHERE FavoriteCount >= 0.5 * ViewCount ORDER BY FavoriteCount DESC | SELECT "Title", "Score", "ViewCount", "FavoriteCount" FROM "Posts" WHERE "FavoriteCount" >= 0.5 * "ViewCount" ORDER BY "FavoriteCount" DESC | 0.135742 |
CREATE TABLE table_203_277 (id NUMBER, "entered" NUMBER, "wrestler" CLOB, "place" CLOB, "eliminated by" CLOB, "time" CLOB)
| how many lasted less than 5 minutes ? | SELECT COUNT(*) FROM table_203_277 WHERE "time" < 5 | SELECT COUNT(*) FROM "table_203_277" WHERE "time" < 5 | 0.051758 |
CREATE TABLE medication (medicationid NUMBER, patientunitstayid NUMBER, drugname CLOB, dosage CLOB, routeadmin CLOB, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE allergy (allergyid NUMBER, patientunitstayid NUMBER, drugname CLOB, allergyname CLOB, allergytime TIME)
CREATE TABLE patient (uniquepid CLOB, patienthealthsystemstayid NUMBER, patientunitstayid NUMBER, gender CLOB, age CLOB, ethnicity CLOB, hospitalid NUMBER, wardid NUMBER, admissionheight NUMBER, admissionweight NUMBER, dischargeweight NUMBER, hospitaladmittime TIME, hospitaladmitsource CLOB, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus CLOB)
CREATE TABLE diagnosis (diagnosisid NUMBER, patientunitstayid NUMBER, diagnosisname CLOB, diagnosistime TIME, icd9code CLOB)
CREATE TABLE vitalperiodic (vitalperiodicid NUMBER, patientunitstayid NUMBER, temperature NUMBER, sao2 NUMBER, heartrate NUMBER, respiration NUMBER, systemicsystolic NUMBER, systemicdiastolic NUMBER, systemicmean NUMBER, observationtime TIME)
CREATE TABLE treatment (treatmentid NUMBER, patientunitstayid NUMBER, treatmentname CLOB, treatmenttime TIME)
CREATE TABLE cost (costid NUMBER, uniquepid CLOB, patienthealthsystemstayid NUMBER, eventtype CLOB, eventid NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime TIME)
CREATE TABLE intakeoutput (intakeoutputid NUMBER, patientunitstayid NUMBER, cellpath CLOB, celllabel CLOB, cellvaluenumeric NUMBER, intakeoutputtime TIME)
CREATE TABLE microlab (microlabid NUMBER, patientunitstayid NUMBER, culturesite CLOB, organism CLOB, culturetakentime TIME)
| for patients diagnosed with hypopituitarism in 2102, what are the top three most common diagnoses that followed within the same month? | SELECT t3.diagnosisname FROM (SELECT t2.diagnosisname, DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS c1 FROM (SELECT patient.uniquepid, diagnosis.diagnosistime FROM diagnosis JOIN patient ON diagnosis.patientunitstayid = patient.patientunitstayid WHERE diagnosis.diagnosisname = 'hypopituitarism' AND STRFTIME('%y', diagnosis.diagnosistime) = '2102') AS t1 JOIN (SELECT patient.uniquepid, diagnosis.diagnosisname, diagnosis.diagnosistime FROM diagnosis JOIN patient ON diagnosis.patientunitstayid = patient.patientunitstayid WHERE STRFTIME('%y', diagnosis.diagnosistime) = '2102') AS t2 ON t1.uniquepid = t2.uniquepid WHERE t1.diagnosistime < t2.diagnosistime AND DATETIME(t1.diagnosistime, 'start of month') = DATETIME(t2.diagnosistime, 'start of month') GROUP BY t2.diagnosisname) AS t3 WHERE t3.c1 <= 3 | WITH "t2" AS (SELECT "patient"."uniquepid", "diagnosis"."diagnosisname", "diagnosis"."diagnosistime" FROM "diagnosis" JOIN "patient" ON "diagnosis"."patientunitstayid" = "patient"."patientunitstayid" WHERE STRFTIME('%y', "diagnosis"."diagnosistime") = '2102'), "t3" AS (SELECT "t2"."diagnosisname", DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS "c1" FROM "diagnosis" JOIN "patient" ON "diagnosis"."patientunitstayid" = "patient"."patientunitstayid" JOIN "t2" "t2" ON "diagnosis"."diagnosistime" < "t2"."diagnosistime" AND "patient"."uniquepid" = "t2"."uniquepid" AND DATETIME("diagnosis"."diagnosistime", 'start of month') = DATETIME("t2"."diagnosistime", 'start of month') WHERE "diagnosis"."diagnosisname" = 'hypopituitarism' AND STRFTIME('%y', "diagnosis"."diagnosistime") = '2102' GROUP BY "t2"."diagnosisname") SELECT "t3"."diagnosisname" FROM "t3" "t3" WHERE "t3"."c1" <= 3 | 0.858398 |
CREATE TABLE table_train_177 ("id" NUMBER, "hemoglobin_a1c_hba1c" FLOAT, "renal_disease" BOOLEAN, "diabetic" CLOB, "creatinine_clearance_cl" FLOAT, "urine_protein" NUMBER, "proteinuria" NUMBER, "fasting_glucose" NUMBER, "NOUSE" FLOAT)
| a1c between 7 and 11 % | SELECT * FROM table_train_177 WHERE hemoglobin_a1c_hba1c > 7 AND hemoglobin_a1c_hba1c < 11 | SELECT * FROM "table_train_177" WHERE "hemoglobin_a1c_hba1c" < 11 AND "hemoglobin_a1c_hba1c" > 7 | 0.09375 |
CREATE TABLE table_78114 ("Res." CLOB, "Record" CLOB, "Opponent" CLOB, "Method" CLOB, "Event" CLOB, "Round" CLOB, "Time" CLOB, "Location" CLOB)
| Which Record has the Res of win with the Event of extreme fighting 1? | SELECT "Record" FROM table_78114 WHERE "Res." = 'win' AND "Event" = 'extreme fighting 1' | SELECT "Record" FROM "table_78114" WHERE "Event" = 'extreme fighting 1' AND "Res." = 'win' | 0.087891 |
CREATE TABLE table_71755 ("Rider" CLOB, "Matches" FLOAT, "Rides" FLOAT, "Bonus Pts" FLOAT, "Total Points" FLOAT)
| How many total matches involving dennis gavros had total points less than 167? | SELECT COUNT("Matches") FROM table_71755 WHERE "Rider" = 'dennis gavros' AND "Total Points" < '167' | SELECT COUNT("Matches") FROM "table_71755" WHERE "Rider" = 'dennis gavros' AND "Total Points" < '167' | 0.098633 |
CREATE TABLE table_11927 ("Number & name" CLOB, "Description" CLOB, "Current status" CLOB, "Livery" CLOB, "Date" CLOB)
| When was the livery of Kinneil Sandy Red? | SELECT "Date" FROM table_11927 WHERE "Livery" = 'kinneil sandy red' | SELECT "Date" FROM "table_11927" WHERE "Livery" = 'kinneil sandy red' | 0.067383 |
CREATE TABLE jobs (JOB_ID VARCHAR2, JOB_TITLE VARCHAR2, MIN_SALARY NUMBER, MAX_SALARY NUMBER)
CREATE TABLE countries (COUNTRY_ID VARCHAR2, COUNTRY_NAME VARCHAR2, REGION_ID NUMBER)
CREATE TABLE departments (DEPARTMENT_ID NUMBER, DEPARTMENT_NAME VARCHAR2, MANAGER_ID NUMBER, LOCATION_ID NUMBER)
CREATE TABLE job_history (EMPLOYEE_ID NUMBER, START_DATE DATE, END_DATE DATE, JOB_ID VARCHAR2, DEPARTMENT_ID NUMBER)
CREATE TABLE employees (EMPLOYEE_ID NUMBER, FIRST_NAME VARCHAR2, LAST_NAME VARCHAR2, EMAIL VARCHAR2, PHONE_NUMBER VARCHAR2, HIRE_DATE DATE, JOB_ID VARCHAR2, SALARY NUMBER, COMMISSION_PCT NUMBER, MANAGER_ID NUMBER, DEPARTMENT_ID NUMBER)
CREATE TABLE regions (REGION_ID NUMBER, REGION_NAME VARCHAR2)
CREATE TABLE locations (LOCATION_ID NUMBER, STREET_ADDRESS VARCHAR2, POSTAL_CODE VARCHAR2, CITY VARCHAR2, STATE_PROVINCE VARCHAR2, COUNTRY_ID VARCHAR2)
| For those employees who do not work in departments with managers that have ids between 100 and 200, return a bar chart about the distribution of email and employee_id . | SELECT EMAIL, EMPLOYEE_ID FROM employees WHERE NOT DEPARTMENT_ID IN (SELECT DEPARTMENT_ID FROM departments WHERE MANAGER_ID BETWEEN 100 AND 200) | SELECT "EMAIL", "EMPLOYEE_ID" FROM "employees" WHERE NOT "DEPARTMENT_ID" IN (SELECT "DEPARTMENT_ID" FROM "departments" WHERE "MANAGER_ID" <= 200 AND "MANAGER_ID" >= 100) | 0.165039 |
CREATE TABLE table_26101 ("Service" FLOAT, "Train number" FLOAT, "Train name" CLOB, "Source" CLOB, "Departure" CLOB, "Destination" CLOB, "Arrival" CLOB)
| What's the service number of the Pune Duronto train that departures at 21:35? | SELECT "Service" FROM table_26101 WHERE "Train name" = 'Pune Duronto' AND "Departure" = '21:35' | SELECT "Service" FROM "table_26101" WHERE "Departure" = '21:35' AND "Train name" = 'Pune Duronto' | 0.094727 |
CREATE TABLE table_name_73 (place VARCHAR2, draw VARCHAR2, lost VARCHAR2)
| What was the total number of places in which the draw was less than 4 and the amount lost was less than 6? | SELECT COUNT(place) FROM table_name_73 WHERE draw < 4 AND lost < 6 | SELECT COUNT("place") FROM "table_name_73" WHERE "draw" < 4 AND "lost" < 6 | 0.072266 |
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
CREATE TABLE admissions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, admittime TIME, dischtime TIME, admission_type CLOB, admission_location CLOB, discharge_location CLOB, insurance CLOB, language CLOB, marital_status CLOB, ethnicity CLOB, age NUMBER)
CREATE TABLE labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE icustays (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, first_careunit CLOB, last_careunit CLOB, first_wardid NUMBER, last_wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
CREATE TABLE cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
CREATE TABLE d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE prescriptions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, startdate TIME, enddate TIME, drug CLOB, dose_val_rx CLOB, dose_unit_rx CLOB, route CLOB)
CREATE TABLE d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
CREATE TABLE patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
CREATE TABLE transfers (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, eventtype CLOB, careunit CLOB, wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
| what were the five most commonly performed procedures for patients who had received parent infus nutrit sub previously within the same month, until 1 year ago? | SELECT d_icd_procedures.short_title FROM d_icd_procedures WHERE d_icd_procedures.icd9_code IN (SELECT t3.icd9_code FROM (SELECT t2.icd9_code, DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS c1 FROM (SELECT admissions.subject_id, procedures_icd.charttime FROM procedures_icd JOIN admissions ON procedures_icd.hadm_id = admissions.hadm_id WHERE procedures_icd.icd9_code = (SELECT d_icd_procedures.icd9_code FROM d_icd_procedures WHERE d_icd_procedures.short_title = 'parent infus nutrit sub') AND DATETIME(procedures_icd.charttime) <= DATETIME(CURRENT_TIME(), '-1 year')) AS t1 JOIN (SELECT admissions.subject_id, procedures_icd.icd9_code, procedures_icd.charttime FROM procedures_icd JOIN admissions ON procedures_icd.hadm_id = admissions.hadm_id WHERE DATETIME(procedures_icd.charttime) <= DATETIME(CURRENT_TIME(), '-1 year')) AS t2 ON t1.subject_id = t2.subject_id WHERE t1.charttime < t2.charttime AND DATETIME(t1.charttime, 'start of month') = DATETIME(t2.charttime, 'start of month') GROUP BY t2.icd9_code) AS t3 WHERE t3.c1 <= 5) | WITH "t2" AS (SELECT "admissions"."subject_id", "procedures_icd"."icd9_code", "procedures_icd"."charttime" FROM "procedures_icd" JOIN "admissions" ON "admissions"."hadm_id" = "procedures_icd"."hadm_id" WHERE DATETIME("procedures_icd"."charttime") <= DATETIME(CURRENT_TIME(), '-1 year')), "t3" AS (SELECT "t2"."icd9_code", DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS "c1" FROM "procedures_icd" JOIN "d_icd_procedures" ON "d_icd_procedures"."icd9_code" = "procedures_icd"."icd9_code" AND "d_icd_procedures"."short_title" = 'parent infus nutrit sub' JOIN "admissions" ON "admissions"."hadm_id" = "procedures_icd"."hadm_id" JOIN "t2" "t2" ON "admissions"."subject_id" = "t2"."subject_id" AND "procedures_icd"."charttime" < "t2"."charttime" AND DATETIME("procedures_icd"."charttime", 'start of month') = DATETIME("t2"."charttime", 'start of month') WHERE DATETIME("procedures_icd"."charttime") <= DATETIME(CURRENT_TIME(), '-1 year') GROUP BY "t2"."icd9_code"), "_u_1" AS (SELECT "t3"."icd9_code" FROM "t3" "t3" WHERE "t3"."c1" <= 5 GROUP BY "icd9_code") SELECT "d_icd_procedures"."short_title" FROM "d_icd_procedures" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "d_icd_procedures"."icd9_code" WHERE NOT "_u_1"."" IS NULL | 1.183594 |
CREATE TABLE table_47419 ("Tie no" CLOB, "Home team" CLOB, "Score" CLOB, "Away team" CLOB, "Attendance" CLOB)
| What was the score for the match with tie number 23? | SELECT "Score" FROM table_47419 WHERE "Tie no" = '23' | SELECT "Score" FROM "table_47419" WHERE "Tie no" = '23' | 0.053711 |
CREATE TABLE table_name_68 (location VARCHAR2, champion VARCHAR2)
| What location did Anke Huber win the championship? | SELECT location FROM table_name_68 WHERE champion = "anke huber" | SELECT "location" FROM "table_name_68" WHERE "anke huber" = "champion" | 0.068359 |
CREATE TABLE table_name_75 (home_team VARCHAR2, date VARCHAR2, away_team VARCHAR2)
| Who is the home team on 31 January 1951 when away team was Sheffield United? | SELECT home_team FROM table_name_75 WHERE date = "31 january 1951" AND away_team = "sheffield united" | SELECT "home_team" FROM "table_name_75" WHERE "31 january 1951" = "date" AND "away_team" = "sheffield united" | 0.106445 |
CREATE TABLE table_43768 ("Game" FLOAT, "Date" CLOB, "Team" CLOB, "Score" CLOB, "Record" CLOB, "Streak" CLOB)
| Which Date has a Streak of loss 2, and a Team of @ boston celtics? | SELECT "Date" FROM table_43768 WHERE "Streak" = 'loss 2' AND "Team" = '@ boston celtics' | SELECT "Date" FROM "table_43768" WHERE "Streak" = 'loss 2' AND "Team" = '@ boston celtics' | 0.087891 |
CREATE TABLE table_name_81 (result VARCHAR2, date VARCHAR2)
| Which Result has a Date of september 3, 2000? | SELECT result FROM table_name_81 WHERE date = "september 3, 2000" | SELECT "result" FROM "table_name_81" WHERE "date" = "september 3, 2000" | 0.069336 |
CREATE TABLE table_15221 ("Team" CLOB, "Car ( s ) " CLOB, "Driver ( s ) " CLOB, "Primary Sponsor ( s ) " CLOB, "Owner ( s ) " CLOB, "Crew Chief" CLOB)
| What crew chief has an owner name Jack Roush and driver Greg Biffle? | SELECT "Crew Chief" FROM table_15221 WHERE "Owner(s)" = 'jack roush' AND "Driver(s)" = 'greg biffle' | SELECT "Crew Chief" FROM "table_15221" WHERE "Driver(s)" = 'greg biffle' AND "Owner(s)" = 'jack roush' | 0.099609 |
CREATE TABLE VoteTypes (Id NUMBER, Name CLOB)
CREATE TABLE FlagTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Users (Id NUMBER, Reputation NUMBER, CreationDate TIME, DisplayName CLOB, LastAccessDate TIME, WebsiteUrl CLOB, Location CLOB, AboutMe CLOB, Views NUMBER, UpVotes NUMBER, DownVotes NUMBER, ProfileImageUrl CLOB, EmailHash CLOB, AccountId NUMBER)
CREATE TABLE ReviewTaskTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
CREATE TABLE PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
CREATE TABLE PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId NUMBER)
CREATE TABLE CloseReasonTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE ReviewTaskStates (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostHistory (Id NUMBER, PostHistoryTypeId NUMBER, PostId NUMBER, RevisionGUID other, CreationDate TIME, UserId NUMBER, UserDisplayName CLOB, Comment CLOB, Text CLOB, ContentLicense CLOB)
CREATE TABLE ReviewTaskResultTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostsWithDeleted (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE TagSynonyms (Id NUMBER, SourceTagName CLOB, TargetTagName CLOB, CreationDate TIME, OwnerUserId NUMBER, AutoRenameCount NUMBER, LastAutoRename TIME, Score NUMBER, ApprovedByUserId NUMBER, ApprovalDate TIME)
CREATE TABLE Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
CREATE TABLE ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
CREATE TABLE PendingFlags (Id NUMBER, FlagTypeId NUMBER, PostId NUMBER, CreationDate TIME, CloseReasonTypeId NUMBER, CloseAsOffTopicReasonTypeId NUMBER, DuplicateOfQuestionId NUMBER, BelongsOnBaseHostAddress CLOB)
CREATE TABLE PostTags (PostId NUMBER, TagId NUMBER)
CREATE TABLE SuggestedEditVotes (Id NUMBER, SuggestedEditId NUMBER, UserId NUMBER, VoteTypeId NUMBER, CreationDate TIME, TargetUserId NUMBER, TargetRepChange NUMBER)
CREATE TABLE Comments (Id NUMBER, PostId NUMBER, Score NUMBER, Text CLOB, CreationDate TIME, UserDisplayName CLOB, UserId NUMBER, ContentLicense CLOB)
CREATE TABLE PostHistoryTypes (Id NUMBER, Name CLOB)
CREATE TABLE Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount NUMBER)
CREATE TABLE ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment CLOB)
CREATE TABLE PostTypes (Id NUMBER, Name CLOB)
CREATE TABLE SuggestedEdits (Id NUMBER, PostId NUMBER, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId NUMBER, Comment CLOB, Text CLOB, Title CLOB, Tags CLOB, RevisionGUID other)
CREATE TABLE PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId NUMBER)
CREATE TABLE ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId NUMBER)
CREATE TABLE PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
CREATE TABLE Posts (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE CloseAsOffTopicReasonTypes (Id NUMBER, IsUniversal BOOLEAN, InputTitle CLOB, MarkdownInputGuidance CLOB, MarkdownPostOwnerGuidance CLOB, MarkdownPrivilegedUserGuidance CLOB, MarkdownConcensusDescription CLOB, CreationDate TIME, CreationModeratorId NUMBER, ApprovalDate TIME, ApprovalModeratorId NUMBER, DeactivationDate TIME, DeactivationModeratorId NUMBER)
| new answers from the last 48 hours to upvote. | SELECT a.Id AS "post_link", CAST((JULIANDAY(CreationDate) - JULIANDAY(CURRENT_TIMESTAMP())) * 24.0 AS INT) AS "time_difference" FROM Posts AS a INNER JOIN Posts AS q ON a.ParentId = q.Id WHERE CAST((JULIANDAY(CreationDate) - JULIANDAY(CURRENT_TIMESTAMP())) * 24.0 AS INT) <= 48 ORDER BY RAND() | SELECT "a"."Id" AS "post_link", CAST((JULIANDAY("CreationDate") - JULIANDAY(CURRENT_TIMESTAMP)) * 24.0 AS NUMBER) AS "time_difference" FROM "Posts" "a" JOIN "Posts" "q" ON "a"."ParentId" = "q"."Id" WHERE CAST((JULIANDAY("CreationDate") - JULIANDAY(CURRENT_TIMESTAMP)) * 24.0 AS NUMBER) <= 48 ORDER BY RAND() | 0.299805 |
CREATE TABLE table_37987 ("School" CLOB, "Team Name" CLOB, "Town" CLOB, "County" CLOB, "School Enrollment ( 2008\\u201310 ) " FLOAT, "Football?" CLOB)
| What is the highest number of school enrollment for Union Star High School in De Kalb county? | SELECT MAX("School Enrollment (2008\u201310)") FROM table_37987 WHERE "County" = 'de kalb' AND "School" = 'union star high school' | SELECT MAX("School Enrollment (2008\u201310)") FROM "table_37987" WHERE "County" = 'de kalb' AND "School" = 'union star high school' | 0.128906 |
CREATE TABLE PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
CREATE TABLE PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId NUMBER)
CREATE TABLE Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
CREATE TABLE PostTags (PostId NUMBER, TagId NUMBER)
CREATE TABLE CloseReasonTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PendingFlags (Id NUMBER, FlagTypeId NUMBER, PostId NUMBER, CreationDate TIME, CloseReasonTypeId NUMBER, CloseAsOffTopicReasonTypeId NUMBER, DuplicateOfQuestionId NUMBER, BelongsOnBaseHostAddress CLOB)
CREATE TABLE Users (Id NUMBER, Reputation NUMBER, CreationDate TIME, DisplayName CLOB, LastAccessDate TIME, WebsiteUrl CLOB, Location CLOB, AboutMe CLOB, Views NUMBER, UpVotes NUMBER, DownVotes NUMBER, ProfileImageUrl CLOB, EmailHash CLOB, AccountId NUMBER)
CREATE TABLE PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId NUMBER)
CREATE TABLE PostHistoryTypes (Id NUMBER, Name CLOB)
CREATE TABLE ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment CLOB)
CREATE TABLE Posts (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
CREATE TABLE PostHistory (Id NUMBER, PostHistoryTypeId NUMBER, PostId NUMBER, RevisionGUID other, CreationDate TIME, UserId NUMBER, UserDisplayName CLOB, Comment CLOB, Text CLOB, ContentLicense CLOB)
CREATE TABLE PostsWithDeleted (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE ReviewTaskResultTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
CREATE TABLE PostTypes (Id NUMBER, Name CLOB)
CREATE TABLE ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId NUMBER)
CREATE TABLE FlagTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE ReviewTaskStates (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE CloseAsOffTopicReasonTypes (Id NUMBER, IsUniversal BOOLEAN, InputTitle CLOB, MarkdownInputGuidance CLOB, MarkdownPostOwnerGuidance CLOB, MarkdownPrivilegedUserGuidance CLOB, MarkdownConcensusDescription CLOB, CreationDate TIME, CreationModeratorId NUMBER, ApprovalDate TIME, ApprovalModeratorId NUMBER, DeactivationDate TIME, DeactivationModeratorId NUMBER)
CREATE TABLE ReviewTaskTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE SuggestedEdits (Id NUMBER, PostId NUMBER, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId NUMBER, Comment CLOB, Text CLOB, Title CLOB, Tags CLOB, RevisionGUID other)
CREATE TABLE VoteTypes (Id NUMBER, Name CLOB)
CREATE TABLE TagSynonyms (Id NUMBER, SourceTagName CLOB, TargetTagName CLOB, CreationDate TIME, OwnerUserId NUMBER, AutoRenameCount NUMBER, LastAutoRename TIME, Score NUMBER, ApprovedByUserId NUMBER, ApprovalDate TIME)
CREATE TABLE SuggestedEditVotes (Id NUMBER, SuggestedEditId NUMBER, UserId NUMBER, VoteTypeId NUMBER, CreationDate TIME, TargetUserId NUMBER, TargetRepChange NUMBER)
CREATE TABLE Comments (Id NUMBER, PostId NUMBER, Score NUMBER, Text CLOB, CreationDate TIME, UserDisplayName CLOB, UserId NUMBER, ContentLicense CLOB)
CREATE TABLE Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount NUMBER)
CREATE TABLE PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
| List all ReviewTasks with type. | SELECT DISTINCT ReviewTasks.ReviewTaskTypeId, ReviewTasks.Id, ReviewTasks.PostId, ReviewTaskTypes.Name FROM ReviewTasks, ReviewTaskTypes WHERE ReviewTaskTypes.Id = ReviewTasks.ReviewTaskTypeId ORDER BY ReviewTaskTypes.Name LIMIT 10 | SELECT DISTINCT "ReviewTasks"."ReviewTaskTypeId", "ReviewTasks"."Id", "ReviewTasks"."PostId", "ReviewTaskTypes"."Name" FROM "ReviewTasks" JOIN "ReviewTaskTypes" ON "ReviewTaskTypes"."Id" = "ReviewTasks"."ReviewTaskTypeId" ORDER BY "ReviewTaskTypes"."Name" FETCH FIRST 10 ROWS ONLY | 0.273438 |
CREATE TABLE table_9592 ("School" CLOB, "Base" CLOB, "Bask" CLOB, "Golf" CLOB, "Soccer" CLOB, "Swimming" CLOB, "Tennis" CLOB, "Indoor track" CLOB)
| What is the status for tennis at cleveland state who has yes for swimming, golf and soccer? | SELECT "Tennis" FROM table_9592 WHERE "Golf" = 'yes' AND "Soccer" = 'yes' AND "Swimming" = 'yes' AND "School" = 'cleveland state' | SELECT "Tennis" FROM "table_9592" WHERE "Golf" = 'yes' AND "School" = 'cleveland state' AND "Soccer" = 'yes' AND "Swimming" = 'yes' | 0.12793 |
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
| what is the number of patients whose gender is f and days of hospital stay is greater than 8? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.gender = "F" AND demographic.days_stay > "8" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "8" < "demographic"."days_stay" AND "F" = "demographic"."gender" | 0.135742 |
CREATE TABLE table_name_74 (frequency VARCHAR2, branding VARCHAR2)
| What is the branding frequency of cbc radio 2? | SELECT frequency FROM table_name_74 WHERE branding = "cbc radio 2" | SELECT "frequency" FROM "table_name_74" WHERE "branding" = "cbc radio 2" | 0.070313 |
CREATE TABLE table_24479 ("Season" CLOB, "Mens 1st XI" CLOB, "Mens 2nd XI" CLOB, "Mens 3rd XI" CLOB, "Ladies 1st XI" CLOB)
| When 10th, south west district 1 is the mens 2nd xi what is the ladies 1st xi? | SELECT "Ladies 1st XI" FROM table_24479 WHERE "Mens 2nd XI" = '10th, South West District 1' | SELECT "Ladies 1st XI" FROM "table_24479" WHERE "Mens 2nd XI" = '10th, South West District 1' | 0.09082 |
CREATE TABLE Manufacturers (Code NUMBER, Name VARCHAR2, Headquarter VARCHAR2, Founder VARCHAR2, Revenue FLOAT)
CREATE TABLE Products (Code NUMBER, Name VARCHAR2, Price NUMBER, Manufacturer NUMBER)
| For those records from the products and each product's manufacturer, visualize a bar chart about the distribution of founder and the amount of founder , and group by attribute founder, and display in descending by the Founder. | SELECT Founder, COUNT(Founder) FROM Products AS T1 JOIN Manufacturers AS T2 ON T1.Manufacturer = T2.Code GROUP BY Founder ORDER BY Founder DESC | SELECT "Founder", COUNT("Founder") FROM "Products" "T1" JOIN "Manufacturers" "T2" ON "T1"."Manufacturer" = "T2"."Code" GROUP BY "Founder" ORDER BY "Founder" DESC | 0.157227 |
CREATE TABLE table_203_633 (id NUMBER, "title" CLOB, "year" NUMBER, "platform" CLOB, "developer" CLOB, "publisher" CLOB)
| how many swat games were there before 2006 ? | SELECT COUNT("title") FROM table_203_633 WHERE "year" < 2006 | SELECT COUNT("title") FROM "table_203_633" WHERE "year" < 2006 | 0.060547 |
CREATE TABLE table_26638600_3 (circuit VARCHAR2, lites_1_race_two_winning_team VARCHAR2)
| On which circuit was the lites race two winning team #13 Inspire Motorsports? | SELECT circuit FROM table_26638600_3 WHERE lites_1_race_two_winning_team = "#13 Inspire Motorsports" | SELECT "circuit" FROM "table_26638600_3" WHERE "#13 Inspire Motorsports" = "lites_1_race_two_winning_team" | 0.103516 |
CREATE TABLE d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
CREATE TABLE inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
CREATE TABLE icustays (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, first_careunit CLOB, last_careunit CLOB, first_wardid NUMBER, last_wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE transfers (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, eventtype CLOB, careunit CLOB, wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE admissions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, admittime TIME, dischtime TIME, admission_type CLOB, admission_location CLOB, discharge_location CLOB, insurance CLOB, language CLOB, marital_status CLOB, ethnicity CLOB, age NUMBER)
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
CREATE TABLE microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
CREATE TABLE procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
CREATE TABLE prescriptions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, startdate TIME, enddate TIME, drug CLOB, dose_val_rx CLOB, dose_unit_rx CLOB, route CLOB)
CREATE TABLE patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
CREATE TABLE labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
| what was the daily average dose of chemo:alb w/ sargram that patient 1272 was taking during the last hospital visit? | SELECT AVG(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 = 1272 AND NOT admissions.dischtime IS NULL ORDER BY admissions.admittime DESC LIMIT 1)) AND inputevents_cv.itemid IN (SELECT d_items.itemid FROM d_items WHERE d_items.label = 'chemo:alb w/ sargram' AND d_items.linksto = 'inputevents_cv') GROUP BY STRFTIME('%y-%m-%d', inputevents_cv.charttime) | WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 1272 AND NOT "admissions"."dischtime" IS NULL GROUP BY "hadm_id" ORDER BY "admissions"."admittime" DESC FETCH FIRST 1 ROWS ONLY), "_u_1" AS (SELECT "icustays"."icustay_id" FROM "icustays" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "icustays"."hadm_id" WHERE NOT "_u_0"."" IS NULL GROUP BY "icustay_id"), "_u_2" AS (SELECT "d_items"."itemid" FROM "d_items" WHERE "d_items"."label" = 'chemo:alb w/ sargram' AND "d_items"."linksto" = 'inputevents_cv' GROUP BY "itemid") SELECT AVG("inputevents_cv"."amount") FROM "inputevents_cv" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "inputevents_cv"."icustay_id" LEFT JOIN "_u_2" "_u_2" ON "_u_2"."" = "inputevents_cv"."itemid" WHERE NOT "_u_1"."" IS NULL AND NOT "_u_2"."" IS NULL GROUP BY STRFTIME('%y-%m-%d', "inputevents_cv"."charttime") | 0.847656 |
CREATE TABLE patient (uniquepid CLOB, patienthealthsystemstayid NUMBER, patientunitstayid NUMBER, gender CLOB, age CLOB, ethnicity CLOB, hospitalid NUMBER, wardid NUMBER, admissionheight NUMBER, admissionweight NUMBER, dischargeweight NUMBER, hospitaladmittime TIME, hospitaladmitsource CLOB, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus CLOB)
CREATE TABLE treatment (treatmentid NUMBER, patientunitstayid NUMBER, treatmentname CLOB, treatmenttime TIME)
CREATE TABLE diagnosis (diagnosisid NUMBER, patientunitstayid NUMBER, diagnosisname CLOB, diagnosistime TIME, icd9code CLOB)
CREATE TABLE vitalperiodic (vitalperiodicid NUMBER, patientunitstayid NUMBER, temperature NUMBER, sao2 NUMBER, heartrate NUMBER, respiration NUMBER, systemicsystolic NUMBER, systemicdiastolic NUMBER, systemicmean NUMBER, observationtime TIME)
CREATE TABLE cost (costid NUMBER, uniquepid CLOB, patienthealthsystemstayid NUMBER, eventtype CLOB, eventid NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE intakeoutput (intakeoutputid NUMBER, patientunitstayid NUMBER, cellpath CLOB, celllabel CLOB, cellvaluenumeric NUMBER, intakeoutputtime TIME)
CREATE TABLE lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime TIME)
CREATE TABLE allergy (allergyid NUMBER, patientunitstayid NUMBER, drugname CLOB, allergyname CLOB, allergytime TIME)
CREATE TABLE medication (medicationid NUMBER, patientunitstayid NUMBER, drugname CLOB, dosage CLOB, routeadmin CLOB, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE microlab (microlabid NUMBER, patientunitstayid NUMBER, culturesite CLOB, organism CLOB, culturetakentime TIME)
| during the previous year what were the top three most frequent diagnoses that patients were diagnosed with within the same hospital visit after being diagnosed with cardiac arrest - witnessed, < 15 minutes cpr? | SELECT t3.diagnosisname FROM (SELECT t2.diagnosisname, DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS c1 FROM (SELECT patient.uniquepid, diagnosis.diagnosistime, patient.patienthealthsystemstayid FROM diagnosis JOIN patient ON diagnosis.patientunitstayid = patient.patientunitstayid WHERE diagnosis.diagnosisname = 'cardiac arrest - witnessed, < 15 minutes cpr' AND DATETIME(diagnosis.diagnosistime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year')) AS t1 JOIN (SELECT patient.uniquepid, diagnosis.diagnosisname, diagnosis.diagnosistime, patient.patienthealthsystemstayid FROM diagnosis JOIN patient ON diagnosis.patientunitstayid = patient.patientunitstayid WHERE DATETIME(diagnosis.diagnosistime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year')) AS t2 ON t1.uniquepid = t2.uniquepid WHERE t1.diagnosistime < t2.diagnosistime AND t1.patienthealthsystemstayid = t2.patienthealthsystemstayid GROUP BY t2.diagnosisname) AS t3 WHERE t3.c1 <= 3 | WITH "t2" AS (SELECT "patient"."uniquepid", "diagnosis"."diagnosisname", "diagnosis"."diagnosistime", "patient"."patienthealthsystemstayid" FROM "diagnosis" JOIN "patient" ON "diagnosis"."patientunitstayid" = "patient"."patientunitstayid" WHERE DATETIME("diagnosis"."diagnosistime", 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year')), "t3" AS (SELECT "t2"."diagnosisname", DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS "c1" FROM "diagnosis" JOIN "patient" ON "diagnosis"."patientunitstayid" = "patient"."patientunitstayid" JOIN "t2" "t2" ON "diagnosis"."diagnosistime" < "t2"."diagnosistime" AND "patient"."patienthealthsystemstayid" = "t2"."patienthealthsystemstayid" AND "patient"."uniquepid" = "t2"."uniquepid" WHERE "diagnosis"."diagnosisname" = 'cardiac arrest - witnessed, < 15 minutes cpr' AND DATETIME("diagnosis"."diagnosistime", 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year') GROUP BY "t2"."diagnosisname") SELECT "t3"."diagnosisname" FROM "t3" "t3" WHERE "t3"."c1" <= 3 | 1.00293 |
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
| How many patients were born before the year 2180 and were given the drug d12.5w? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.dob_year < "2180" AND prescriptions.drug = "D12.5W" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "prescriptions" ON "D12.5W" = "prescriptions"."drug" AND "demographic"."hadm_id" = "prescriptions"."hadm_id" WHERE "2180" > "demographic"."dob_year" | 0.216797 |
CREATE TABLE table_23842 ("Seed" FLOAT, "Player" CLOB, "Marseille ( 32 draw ) " CLOB, "Metz ( 32 ) " CLOB, "Lyon ( 32 ) " CLOB, "Paris ( 48 - byes ) " CLOB)
| In what round was lyon (32) a 5 seed? | SELECT "Lyon (32)" FROM table_23842 WHERE "Seed" = '5' | SELECT "Lyon (32)" FROM "table_23842" WHERE "Seed" = '5' | 0.054688 |
CREATE TABLE flight_leg (flight_id NUMBER, leg_number NUMBER, leg_flight NUMBER)
CREATE TABLE dual_carrier (main_airline VARCHAR2, low_flight_number NUMBER, high_flight_number NUMBER, dual_airline VARCHAR2, service_name CLOB)
CREATE TABLE state (state_code CLOB, state_name CLOB, country_name CLOB)
CREATE TABLE compartment_class (compartment VARCHAR2, class_type VARCHAR2)
CREATE TABLE fare_basis (fare_basis_code CLOB, booking_class CLOB, class_type CLOB, premium CLOB, economy CLOB, discounted CLOB, night CLOB, season CLOB, basis_days CLOB)
CREATE TABLE restriction (restriction_code CLOB, advance_purchase NUMBER, stopovers CLOB, saturday_stay_required CLOB, minimum_stay NUMBER, maximum_stay NUMBER, application CLOB, no_discounts CLOB)
CREATE TABLE code_description (code VARCHAR2, description CLOB)
CREATE TABLE equipment_sequence (aircraft_code_sequence VARCHAR2, aircraft_code VARCHAR2)
CREATE TABLE fare (fare_id NUMBER, from_airport VARCHAR2, to_airport VARCHAR2, fare_basis_code CLOB, fare_airline CLOB, restriction_code CLOB, one_direction_cost NUMBER, round_trip_cost NUMBER, round_trip_required VARCHAR2)
CREATE TABLE date_day (month_number NUMBER, day_number NUMBER, year NUMBER, day_name VARCHAR2)
CREATE TABLE airline (airline_code VARCHAR2, airline_name CLOB, note CLOB)
CREATE TABLE city (city_code VARCHAR2, city_name VARCHAR2, state_code VARCHAR2, country_name VARCHAR2, time_zone_code VARCHAR2)
CREATE TABLE time_zone (time_zone_code CLOB, time_zone_name CLOB, hours_from_gmt NUMBER)
CREATE TABLE days (days_code VARCHAR2, day_name VARCHAR2)
CREATE TABLE flight_stop (flight_id NUMBER, stop_number NUMBER, stop_days CLOB, stop_airport CLOB, arrival_time NUMBER, arrival_airline CLOB, arrival_flight_number NUMBER, departure_time NUMBER, departure_airline CLOB, departure_flight_number NUMBER, stop_time NUMBER)
CREATE TABLE food_service (meal_code CLOB, meal_number NUMBER, compartment CLOB, meal_description VARCHAR2)
CREATE TABLE time_interval (period CLOB, begin_time NUMBER, end_time NUMBER)
CREATE TABLE aircraft (aircraft_code VARCHAR2, aircraft_description VARCHAR2, manufacturer VARCHAR2, basic_type VARCHAR2, engines NUMBER, propulsion VARCHAR2, wide_body VARCHAR2, wing_span NUMBER, length NUMBER, weight NUMBER, capacity NUMBER, pay_load NUMBER, cruising_speed NUMBER, range_miles NUMBER, pressurized VARCHAR2)
CREATE TABLE class_of_service (booking_class VARCHAR2, rank NUMBER, class_description CLOB)
CREATE TABLE airport (airport_code VARCHAR2, airport_name CLOB, airport_location CLOB, state_code VARCHAR2, country_name VARCHAR2, time_zone_code VARCHAR2, minimum_connect_time NUMBER)
CREATE TABLE airport_service (city_code VARCHAR2, airport_code VARCHAR2, miles_distant NUMBER, direction VARCHAR2, minutes_distant NUMBER)
CREATE TABLE month (month_number NUMBER, month_name CLOB)
CREATE TABLE ground_service (city_code CLOB, airport_code CLOB, transport_type CLOB, ground_fare NUMBER)
CREATE TABLE flight (aircraft_code_sequence CLOB, airline_code VARCHAR2, airline_flight CLOB, arrival_time NUMBER, connections NUMBER, departure_time NUMBER, dual_carrier CLOB, flight_days CLOB, flight_id NUMBER, flight_number NUMBER, from_airport VARCHAR2, meal_code CLOB, stops NUMBER, time_elapsed NUMBER, to_airport VARCHAR2)
CREATE TABLE flight_fare (flight_id NUMBER, fare_id NUMBER)
| which nonstop flight from ATLANTA to OAKLAND leaves in the afternoon and arrives at 1700 | 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 = 'OAKLAND' AND flight.arrival_time = 1700 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) AND flight.departure_time BETWEEN 1200 AND 1800) AND flight.stops = 0 | SELECT DISTINCT "flight"."flight_id" FROM "airport_service" "AIRPORT_SERVICE_0" JOIN "city" "CITY_0" ON "AIRPORT_SERVICE_0"."city_code" = "CITY_0"."city_code" AND "CITY_0"."city_name" = 'ATLANTA' JOIN "flight" ON "AIRPORT_SERVICE_0"."airport_code" = "flight"."from_airport" AND "flight"."arrival_time" = 1700 AND "flight"."departure_time" <= 1800 AND "flight"."departure_time" >= 1200 AND "flight"."stops" = 0 JOIN "airport_service" "AIRPORT_SERVICE_1" ON "AIRPORT_SERVICE_1"."airport_code" = "flight"."to_airport" JOIN "city" "CITY_1" ON "AIRPORT_SERVICE_1"."city_code" = "CITY_1"."city_code" AND "CITY_1"."city_name" = 'OAKLAND' | 0.615234 |
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