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CREATE TABLE table_name_29 (grid NUMBER, time_retired VARCHAR2, laps VARCHAR2)
| What is the high grid number for a Time/Retired of + 3 laps, and a Laps smaller than 57? | SELECT MAX(grid) FROM table_name_29 WHERE time_retired = "+ 3 laps" AND laps < 57 | SELECT MAX("grid") FROM "table_name_29" WHERE "+ 3 laps" = "time_retired" AND "laps" < 57 | 0.086914 |
CREATE TABLE table_203_204 (id NUMBER, "year" NUMBER, "film" CLOB, "language" CLOB, "actors" CLOB, "music" CLOB, "banner" CLOB, "note" CLOB)
| what was the first movie directed by c.v. sridhar that was filmed in the hindi language ? | SELECT "film" FROM table_203_204 WHERE "language" = 'hindi' ORDER BY "year" LIMIT 1 | SELECT "film" FROM "table_203_204" WHERE "language" = 'hindi' ORDER BY "year" FETCH FIRST 1 ROWS ONLY | 0.098633 |
CREATE TABLE table_14957 ("Week" FLOAT, "Date" CLOB, "Opponent" CLOB, "Result" CLOB, "Game site" CLOB, "Record" CLOB, "Attendance" CLOB)
| Name the date when bye was opponent | SELECT "Date" FROM table_14957 WHERE "Opponent" = 'bye' | SELECT "Date" FROM "table_14957" WHERE "Opponent" = 'bye' | 0.055664 |
CREATE TABLE table_name_76 (guest VARCHAR2, score__first_match_ VARCHAR2)
| Who were the guest team wehn the match score was 3:0 (0:2)? | SELECT guest FROM table_name_76 WHERE score__first_match_ = "3:0 (0:2)" | SELECT "guest" FROM "table_name_76" WHERE "3:0 (0:2)" = "score__first_match_" | 0.075195 |
CREATE TABLE loan (loan_ID VARCHAR2, loan_type VARCHAR2, cust_ID VARCHAR2, branch_ID VARCHAR2, amount NUMBER)
CREATE TABLE customer (cust_ID VARCHAR2, cust_name VARCHAR2, acc_type CHAR, acc_bal NUMBER, no_of_loans NUMBER, credit_score NUMBER, branch_ID NUMBER, state VARCHAR2)
CREATE TABLE bank (branch_ID NUMBER, bname VARCHAR2, no_of_customers NUMBER, city VARCHAR2, state VARCHAR2)
| Find the name and account balance of the customer whose name includes the letter a Visualize them using a bar chart, list in ascending by the X-axis. | SELECT cust_name, acc_bal FROM customer WHERE cust_name LIKE '%a%' ORDER BY cust_name | SELECT "cust_name", "acc_bal" FROM "customer" WHERE "cust_name" LIKE '%a%' ORDER BY "cust_name" | 0.092773 |
CREATE TABLE table_name_99 (owner VARCHAR2, post_position VARCHAR2, jockey VARCHAR2)
| Who owns the horse with a post position of less than 4 with jockey todd pletcher? | SELECT owner FROM table_name_99 WHERE post_position < 4 AND jockey = "todd pletcher" | SELECT "owner" FROM "table_name_99" WHERE "jockey" = "todd pletcher" AND "post_position" < 4 | 0.089844 |
CREATE TABLE table_203_695 (id NUMBER, "draw" NUMBER, "artist" CLOB, "song" CLOB, "points" NUMBER, "place" CLOB)
| which artist came in last place in the national final ? | SELECT "artist" FROM table_203_695 ORDER BY "place" DESC LIMIT 1 | SELECT "artist" FROM "table_203_695" ORDER BY "place" DESC FETCH FIRST 1 ROWS ONLY | 0.080078 |
CREATE TABLE table_20901 ("Pick #" FLOAT, "CFL Team" CLOB, "Player" CLOB, "Position" CLOB, "College" CLOB)
| Where did Brendon Labatte get picked? | SELECT MIN("Pick #") FROM table_20901 WHERE "Player" = 'Brendon LaBatte' | SELECT MIN("Pick #") FROM "table_20901" WHERE "Player" = 'Brendon LaBatte' | 0.072266 |
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 demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
| what is admission location and admission time of subject id 2560? | SELECT demographic.admission_location, demographic.admittime FROM demographic WHERE demographic.subject_id = "2560" | SELECT "demographic"."admission_location", "demographic"."admittime" FROM "demographic" WHERE "2560" = "demographic"."subject_id" | 0.125977 |
CREATE TABLE jobs (job_id NUMBER, job_title VARCHAR2, description VARCHAR2, requirement VARCHAR2, city VARCHAR2, state VARCHAR2, country VARCHAR2, zip NUMBER)
CREATE TABLE course_prerequisite (pre_course_id NUMBER, course_id NUMBER)
CREATE TABLE program (program_id NUMBER, name VARCHAR2, college VARCHAR2, introduction VARCHAR2)
CREATE TABLE course (course_id NUMBER, name VARCHAR2, department VARCHAR2, number VARCHAR2, credits VARCHAR2, advisory_requirement VARCHAR2, enforced_requirement VARCHAR2, description VARCHAR2, num_semesters NUMBER, num_enrolled NUMBER, has_discussion VARCHAR2, has_lab VARCHAR2, has_projects VARCHAR2, has_exams VARCHAR2, num_reviews NUMBER, clarity_score NUMBER, easiness_score NUMBER, helpfulness_score NUMBER)
CREATE TABLE gsi (course_offering_id NUMBER, student_id NUMBER)
CREATE TABLE course_tags_count (course_id NUMBER, clear_grading NUMBER, pop_quiz NUMBER, group_projects NUMBER, inspirational NUMBER, long_lectures NUMBER, extra_credit NUMBER, few_tests NUMBER, good_feedback NUMBER, tough_tests NUMBER, heavy_papers NUMBER, cares_for_students NUMBER, heavy_assignments NUMBER, respected NUMBER, participation NUMBER, heavy_reading NUMBER, tough_grader NUMBER, hilarious NUMBER, would_take_again NUMBER, good_lecture NUMBER, no_skip NUMBER)
CREATE TABLE requirement (requirement_id NUMBER, requirement VARCHAR2, college VARCHAR2)
CREATE TABLE student (student_id NUMBER, lastname VARCHAR2, firstname VARCHAR2, program_id NUMBER, declare_major VARCHAR2, total_credit NUMBER, total_gpa FLOAT, entered_as VARCHAR2, admit_term NUMBER, predicted_graduation_semester NUMBER, degree VARCHAR2, minor VARCHAR2, internship VARCHAR2)
CREATE TABLE comment_instructor (instructor_id NUMBER, student_id NUMBER, score NUMBER, comment_text VARCHAR2)
CREATE TABLE semester (semester_id NUMBER, semester VARCHAR2, year NUMBER)
CREATE TABLE program_requirement (program_id NUMBER, category VARCHAR2, min_credit NUMBER, additional_req VARCHAR2)
CREATE TABLE ta (campus_job_id NUMBER, student_id NUMBER, location VARCHAR2)
CREATE TABLE instructor (instructor_id NUMBER, name VARCHAR2, uniqname VARCHAR2)
CREATE TABLE program_course (program_id NUMBER, course_id NUMBER, workload NUMBER, category VARCHAR2)
CREATE TABLE course_offering (offering_id NUMBER, course_id NUMBER, semester NUMBER, section_number NUMBER, start_time TIME, end_time TIME, monday VARCHAR2, tuesday VARCHAR2, wednesday VARCHAR2, thursday VARCHAR2, friday VARCHAR2, saturday VARCHAR2, sunday VARCHAR2, has_final_project VARCHAR2, has_final_exam VARCHAR2, textbook VARCHAR2, class_address VARCHAR2, allow_audit VARCHAR2)
CREATE TABLE offering_instructor (offering_instructor_id NUMBER, offering_id NUMBER, instructor_id NUMBER)
CREATE TABLE student_record (student_id NUMBER, course_id NUMBER, semester NUMBER, grade VARCHAR2, how VARCHAR2, transfer_source VARCHAR2, earn_credit VARCHAR2, repeat_term VARCHAR2, test_id VARCHAR2)
CREATE TABLE area (course_id NUMBER, area VARCHAR2)
| What has Dr. Kerri Burchill taught before ? | SELECT DISTINCT course.department, course.name, course.number FROM course, course_offering, instructor, offering_instructor WHERE course_offering.semester < (SELECT SEMESTERalias0.semester_id FROM semester AS SEMESTERalias0 WHERE SEMESTERalias0.semester = 'WN' AND SEMESTERalias0.year = 2016) AND course.course_id = course_offering.course_id AND instructor.name LIKE '%Kerri Burchill%' AND offering_instructor.instructor_id = instructor.instructor_id AND offering_instructor.offering_id = course_offering.offering_id | SELECT DISTINCT "course"."department", "course"."name", "course"."number" FROM "course" JOIN "course_offering" ON "course"."course_id" = "course_offering"."course_id" JOIN "semester" "SEMESTERalias0" ON "SEMESTERalias0"."semester" = 'WN' AND "SEMESTERalias0"."semester_id" > "course_offering"."semester" AND "SEMESTERalias0"."year" = 2016 JOIN "offering_instructor" ON "course_offering"."offering_id" = "offering_instructor"."offering_id" JOIN "instructor" ON "instructor"."instructor_id" = "offering_instructor"."instructor_id" AND "instructor"."name" LIKE '%Kerri Burchill%' | 0.5625 |
CREATE TABLE table_41203 ("Year" FLOAT, "Competition" CLOB, "Club" CLOB, "Nation" CLOB, "Result" CLOB)
| What is the Club of mexico, Year of 2010, and a Competition of preseason, and a Result of w 0 1? | SELECT "Club" FROM table_41203 WHERE "Nation" = 'mexico' AND "Year" = '2010' AND "Competition" = 'preseason' AND "Result" = 'w 0–1' | SELECT "Club" FROM "table_41203" WHERE "Competition" = 'preseason' AND "Nation" = 'mexico' AND "Result" = 'w 0–1' AND "Year" = '2010' | 0.129883 |
CREATE TABLE table_32533 ("Week" CLOB, "Kickoff" CLOB, "Date" CLOB, "Opponent" CLOB, "Result" CLOB, "Record" CLOB, "Game site" CLOB, "Attendance" CLOB)
| What was the Bye week attendance? | SELECT "Attendance" FROM table_32533 WHERE "Record" = 'bye' | SELECT "Attendance" FROM "table_32533" WHERE "Record" = 'bye' | 0.05957 |
CREATE TABLE Customer_Payments (customer_id NUMBER, datetime_payment DATETIME, payment_method_code VARCHAR2, amount_payment DOUBLE PRECISION)
CREATE TABLE Lessons (lesson_id NUMBER, customer_id NUMBER, lesson_status_code VARCHAR2, staff_id NUMBER, vehicle_id NUMBER, lesson_date DATETIME, lesson_time VARCHAR2, price DOUBLE PRECISION)
CREATE TABLE Addresses (address_id NUMBER, line_1_number_building VARCHAR2, city VARCHAR2, zip_postcode VARCHAR2, state_province_county VARCHAR2, country VARCHAR2)
CREATE TABLE Vehicles (vehicle_id NUMBER, vehicle_details VARCHAR2)
CREATE TABLE Staff (staff_id NUMBER, staff_address_id NUMBER, nickname VARCHAR2, first_name VARCHAR2, middle_name VARCHAR2, last_name VARCHAR2, date_of_birth DATETIME, date_joined_staff DATETIME, date_left_staff DATETIME)
CREATE TABLE Customers (customer_id NUMBER, customer_address_id NUMBER, customer_status_code VARCHAR2, date_became_customer DATETIME, date_of_birth DATETIME, first_name VARCHAR2, last_name VARCHAR2, amount_outstanding DOUBLE PRECISION, email_address VARCHAR2, phone_number VARCHAR2, cell_mobile_phone_number VARCHAR2)
| When are the birthdays of customer who are classified as 'Good Customer' status, and count them by a line chart, and list from high to low by the X-axis please. | SELECT date_of_birth, COUNT(date_of_birth) FROM Customers WHERE customer_status_code = 'Good Customer' ORDER BY date_of_birth DESC | SELECT "date_of_birth", COUNT("date_of_birth") FROM "Customers" WHERE "customer_status_code" = 'Good Customer' ORDER BY "date_of_birth" DESC | 0.136719 |
CREATE TABLE table_1915 ("Township" CLOB, "County" CLOB, "Pop. ( 2010 ) " FLOAT, "Land ( sqmi ) " CLOB, "Water ( sqmi ) " CLOB, "Latitude" CLOB, "Longitude" CLOB, "GEO ID" FLOAT, "ANSI code" FLOAT)
| what is the latitude in the township where wate is 0.288 | SELECT "Latitude" FROM table_1915 WHERE "Water (sqmi)" = '0.288' | SELECT "Latitude" FROM "table_1915" WHERE "Water (sqmi)" = '0.288' | 0.064453 |
CREATE TABLE table_name_77 (score VARCHAR2, record VARCHAR2)
| What was the score of the game when the record was 59-65? | SELECT score FROM table_name_77 WHERE record = "59-65" | SELECT "score" FROM "table_name_77" WHERE "59-65" = "record" | 0.058594 |
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE 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 minimum age of patients whose gender is m and age is greater than or equal to 51? | SELECT MIN(demographic.age) FROM demographic WHERE demographic.gender = "M" AND demographic.age >= "51" | SELECT MIN("demographic"."age") FROM "demographic" WHERE "51" <= "demographic"."age" AND "M" = "demographic"."gender" | 0.114258 |
CREATE TABLE table_name_58 (weight VARCHAR2, height VARCHAR2)
| What is the weight of the player with a height of 2.00m? | SELECT weight FROM table_name_58 WHERE height = "2.00" | SELECT "weight" FROM "table_name_58" WHERE "2.00" = "height" | 0.058594 |
CREATE TABLE table_61156 ("Year" FLOAT, "Competition" CLOB, "Venue" CLOB, "Position" CLOB, "Notes" CLOB)
| Which Position has a Venue of berlin, germany? | SELECT "Position" FROM table_61156 WHERE "Venue" = 'berlin, germany' | SELECT "Position" FROM "table_61156" WHERE "Venue" = 'berlin, germany' | 0.068359 |
CREATE TABLE table_dev_48 ("id" NUMBER, "gender" CLOB, "systolic_blood_pressure_sbp" NUMBER, "hiv_infection" BOOLEAN, "body_weight" FLOAT, "diabetic" CLOB, "active_hepatitis" BOOLEAN, "diastolic_blood_pressure_dbp" NUMBER, "liver_disease" BOOLEAN, "high_density_lipoprotein_cholesterol_hdl_c" NUMBER, "kidney_disease" BOOLEAN, "body_mass_index_bmi" FLOAT, "hypertension" BOOLEAN, "age" FLOAT, "NOUSE" FLOAT)
| history of chronic liver disease, active hepatitis infection, hiv / aids, chronic kidney disease | SELECT * FROM table_dev_48 WHERE liver_disease = 1 OR active_hepatitis = 1 OR hiv_infection = 1 OR kidney_disease = 1 | SELECT * FROM "table_dev_48" WHERE "active_hepatitis" = 1 OR "hiv_infection" = 1 OR "kidney_disease" = 1 OR "liver_disease" = 1 | 0.124023 |
CREATE TABLE table_7879 ("Player" CLOB, "Country" CLOB, "Year ( s ) won" CLOB, "Total" FLOAT, "To par" CLOB, "Finish" CLOB)
| What was the finish of the player who had a total of 282? | SELECT "Finish" FROM table_7879 WHERE "Total" = '282' | SELECT "Finish" FROM "table_7879" WHERE "Total" = '282' | 0.053711 |
CREATE TABLE table_43280 ("Administrative Panel" FLOAT, "Agricultural Panel" FLOAT, "Cultural and Educational Panel" FLOAT, "Industrial and Commercial Panel" FLOAT, "Labour Panel" FLOAT, "National University of Ireland" FLOAT, "University of Dublin" FLOAT, "Nominated by the Taoiseach" FLOAT, "Total" FLOAT)
| What is the administrative panel average when the cultural and educational panel is greater than 1 and the industrial and commercial panel less than 4? | SELECT AVG("Administrative Panel") FROM table_43280 WHERE "Cultural and Educational Panel" > '1' AND "Industrial and Commercial Panel" < '4' | SELECT AVG("Administrative Panel") FROM "table_43280" WHERE "Cultural and Educational Panel" > '1' AND "Industrial and Commercial Panel" < '4' | 0.138672 |
CREATE TABLE table_36964 ("Res." CLOB, "Record" CLOB, "Opponent" CLOB, "Method" CLOB, "Event" CLOB, "Round" FLOAT, "Time" CLOB)
| Which Opponent has a Time of 2:31? | SELECT "Opponent" FROM table_36964 WHERE "Time" = '2:31' | SELECT "Opponent" FROM "table_36964" WHERE "Time" = '2:31' | 0.056641 |
CREATE TABLE program_course (program_id NUMBER, course_id NUMBER, workload NUMBER, category VARCHAR2)
CREATE TABLE ta (campus_job_id NUMBER, student_id NUMBER, location VARCHAR2)
CREATE TABLE course_tags_count (course_id NUMBER, clear_grading NUMBER, pop_quiz NUMBER, group_projects NUMBER, inspirational NUMBER, long_lectures NUMBER, extra_credit NUMBER, few_tests NUMBER, good_feedback NUMBER, tough_tests NUMBER, heavy_papers NUMBER, cares_for_students NUMBER, heavy_assignments NUMBER, respected NUMBER, participation NUMBER, heavy_reading NUMBER, tough_grader NUMBER, hilarious NUMBER, would_take_again NUMBER, good_lecture NUMBER, no_skip NUMBER)
CREATE TABLE jobs (job_id NUMBER, job_title VARCHAR2, description VARCHAR2, requirement VARCHAR2, city VARCHAR2, state VARCHAR2, country VARCHAR2, zip NUMBER)
CREATE TABLE program_requirement (program_id NUMBER, category VARCHAR2, min_credit NUMBER, additional_req VARCHAR2)
CREATE TABLE area (course_id NUMBER, area VARCHAR2)
CREATE TABLE student (student_id NUMBER, lastname VARCHAR2, firstname VARCHAR2, program_id NUMBER, declare_major VARCHAR2, total_credit NUMBER, total_gpa FLOAT, entered_as VARCHAR2, admit_term NUMBER, predicted_graduation_semester NUMBER, degree VARCHAR2, minor VARCHAR2, internship VARCHAR2)
CREATE TABLE gsi (course_offering_id NUMBER, student_id NUMBER)
CREATE TABLE instructor (instructor_id NUMBER, name VARCHAR2, uniqname VARCHAR2)
CREATE TABLE course_offering (offering_id NUMBER, course_id NUMBER, semester NUMBER, section_number NUMBER, start_time TIME, end_time TIME, monday VARCHAR2, tuesday VARCHAR2, wednesday VARCHAR2, thursday VARCHAR2, friday VARCHAR2, saturday VARCHAR2, sunday VARCHAR2, has_final_project VARCHAR2, has_final_exam VARCHAR2, textbook VARCHAR2, class_address VARCHAR2, allow_audit VARCHAR2)
CREATE TABLE course_prerequisite (pre_course_id NUMBER, course_id NUMBER)
CREATE TABLE semester (semester_id NUMBER, semester VARCHAR2, year NUMBER)
CREATE TABLE program (program_id NUMBER, name VARCHAR2, college VARCHAR2, introduction VARCHAR2)
CREATE TABLE requirement (requirement_id NUMBER, requirement VARCHAR2, college VARCHAR2)
CREATE TABLE course (course_id NUMBER, name VARCHAR2, department VARCHAR2, number VARCHAR2, credits VARCHAR2, advisory_requirement VARCHAR2, enforced_requirement VARCHAR2, description VARCHAR2, num_semesters NUMBER, num_enrolled NUMBER, has_discussion VARCHAR2, has_lab VARCHAR2, has_projects VARCHAR2, has_exams VARCHAR2, num_reviews NUMBER, clarity_score NUMBER, easiness_score NUMBER, helpfulness_score NUMBER)
CREATE TABLE comment_instructor (instructor_id NUMBER, student_id NUMBER, score NUMBER, comment_text VARCHAR2)
CREATE TABLE offering_instructor (offering_instructor_id NUMBER, offering_id NUMBER, instructor_id NUMBER)
CREATE TABLE student_record (student_id NUMBER, course_id NUMBER, semester NUMBER, grade VARCHAR2, how VARCHAR2, transfer_source VARCHAR2, earn_credit VARCHAR2, repeat_term VARCHAR2, test_id VARCHAR2)
| Do classes for Prof. Mark Clague always meet on Friday ? | SELECT COUNT(*) = 0 FROM course INNER JOIN course_offering ON course.course_id = course_offering.course_id INNER JOIN offering_instructor ON offering_instructor.offering_id = course_offering.offering_id INNER JOIN instructor ON offering_instructor.instructor_id = instructor.instructor_id WHERE course_offering.friday = 'N' AND instructor.name LIKE '%Mark Clague%' | SELECT COUNT(*) = 0 FROM "course" JOIN "course_offering" ON "course"."course_id" = "course_offering"."course_id" AND "course_offering"."friday" = 'N' JOIN "offering_instructor" ON "course_offering"."offering_id" = "offering_instructor"."offering_id" JOIN "instructor" ON "instructor"."instructor_id" = "offering_instructor"."instructor_id" AND "instructor"."name" LIKE '%Mark Clague%' | 0.375 |
CREATE TABLE table_77173 ("Week" FLOAT, "Date" CLOB, "Opponent" CLOB, "Result" CLOB, "Attendance" FLOAT)
| Which Attendance has a Date of november 19, 1961? | SELECT MIN("Attendance") FROM table_77173 WHERE "Date" = 'november 19, 1961' | SELECT MIN("Attendance") FROM "table_77173" WHERE "Date" = 'november 19, 1961' | 0.076172 |
CREATE TABLE table_63478 ("District" FLOAT, "Incumbent" CLOB, "2008 Status" CLOB, "Democratic" CLOB, "Republican" CLOB, "Green" CLOB)
| Who was the Republican in the district more than 4? | SELECT "Republican" FROM table_63478 WHERE "District" > '4' | SELECT "Republican" FROM "table_63478" WHERE "District" > '4' | 0.05957 |
CREATE TABLE locations (LOCATION_ID NUMBER, STREET_ADDRESS VARCHAR2, POSTAL_CODE VARCHAR2, CITY VARCHAR2, STATE_PROVINCE VARCHAR2, COUNTRY_ID VARCHAR2)
CREATE TABLE departments (DEPARTMENT_ID NUMBER, DEPARTMENT_NAME VARCHAR2, MANAGER_ID NUMBER, LOCATION_ID NUMBER)
CREATE TABLE regions (REGION_ID NUMBER, REGION_NAME VARCHAR2)
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 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)
| For all employees who have the letters D or S in their first name, find hire_date and the amount of hire_date bin hire_date by weekday, and visualize them by a bar chart, and could you show in descending by the how many hire date? | SELECT HIRE_DATE, COUNT(HIRE_DATE) FROM employees WHERE FIRST_NAME LIKE '%D%' OR FIRST_NAME LIKE '%S%' ORDER BY COUNT(HIRE_DATE) DESC | SELECT "HIRE_DATE", COUNT("HIRE_DATE") FROM "employees" WHERE "FIRST_NAME" LIKE '%D%' OR "FIRST_NAME" LIKE '%S%' ORDER BY COUNT("HIRE_DATE") DESC | 0.141602 |
CREATE TABLE table_5283 ("Rider" CLOB, "Bike" CLOB, "Laps" FLOAT, "Time" CLOB, "Grid" FLOAT)
| what is the lowest grid with laps larger than 23? | SELECT MIN("Grid") FROM table_5283 WHERE "Laps" > '23' | SELECT MIN("Grid") FROM "table_5283" WHERE "Laps" > '23' | 0.054688 |
CREATE TABLE table_name_52 (total_goals VARCHAR2, league_goals VARCHAR2, fa_cup_apps VARCHAR2, position VARCHAR2)
| how many times is the fa cup apps more than 0, the position mf and the league goals 4? | SELECT COUNT(total_goals) FROM table_name_52 WHERE fa_cup_apps > 0 AND position = "mf" AND league_goals = 4 | SELECT COUNT("total_goals") FROM "table_name_52" WHERE "fa_cup_apps" > 0 AND "league_goals" = 4 AND "mf" = "position" | 0.114258 |
CREATE TABLE table_25970 ("Rank" FLOAT, "Runs" FLOAT, "Player" CLOB, "Matches" FLOAT, "Innings" FLOAT, "Not Out" FLOAT, "Average" CLOB)
| What is the name of the player if the innings is 82? | SELECT "Player" FROM table_25970 WHERE "Innings" = '82' | SELECT "Player" FROM "table_25970" WHERE "Innings" = '82' | 0.055664 |
CREATE TABLE table_name_15 (paul_mccartney VARCHAR2, linda_mccartney VARCHAR2)
| Which Paul McCartney has a Linda McCartney of keyboards or drum? | SELECT paul_mccartney FROM table_name_15 WHERE linda_mccartney = "keyboards or drum" | SELECT "paul_mccartney" FROM "table_name_15" WHERE "keyboards or drum" = "linda_mccartney" | 0.087891 |
CREATE TABLE table_train_12 ("id" NUMBER, "sequential_organ_failure_assessment_sofa" NUMBER, "active_infection" BOOLEAN, "taking_pioglitazone" BOOLEAN, "taking_rosiglitazone" BOOLEAN, "body_weight" FLOAT, "diabetic" CLOB, "organ_failure" BOOLEAN, "age" FLOAT, "NOUSE" FLOAT)
| are already on or have a history of taking pioglitazone or rosiglitazone | SELECT * FROM table_train_12 WHERE taking_pioglitazone = 1 OR taking_rosiglitazone = 1 | SELECT * FROM "table_train_12" WHERE "taking_pioglitazone" = 1 OR "taking_rosiglitazone" = 1 | 0.089844 |
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)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
| give the number of patients admitted before the year 2197 had other body fluid as lab test fluid. | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.admityear < "2197" AND lab.fluid = "Other Body Fluid" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "lab" ON "Other Body Fluid" = "lab"."fluid" AND "demographic"."hadm_id" = "lab"."hadm_id" WHERE "2197" > "demographic"."admityear" | 0.199219 |
CREATE TABLE table_20739 ("Home team" CLOB, "Home team score" CLOB, "Away team" CLOB, "Away team score" CLOB, "Ground" CLOB, "Crowd" FLOAT, "Date" CLOB)
| What did the home team score against Richmond? | SELECT "Home team score" FROM table_20739 WHERE "Away team" = 'Richmond' | SELECT "Home team score" FROM "table_20739" WHERE "Away team" = 'Richmond' | 0.072266 |
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 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 diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
CREATE TABLE outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
CREATE TABLE d_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 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 microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
| what is the name of the drug that has been prescribed two times in their first hospital encounter to patient 64881? | SELECT t1.drug FROM (SELECT prescriptions.drug, COUNT(prescriptions.startdate) AS c1 FROM prescriptions WHERE prescriptions.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 64881 AND NOT admissions.dischtime IS NULL ORDER BY admissions.admittime LIMIT 1) GROUP BY prescriptions.drug) AS t1 WHERE t1.c1 = 2 | WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 64881 AND NOT "admissions"."dischtime" IS NULL GROUP BY "hadm_id" ORDER BY "admissions"."admittime" FETCH FIRST 1 ROWS ONLY), "t1" AS (SELECT "prescriptions"."drug", COUNT("prescriptions"."startdate") AS "c1" FROM "prescriptions" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "prescriptions"."hadm_id" WHERE NOT "_u_0"."" IS NULL GROUP BY "prescriptions"."drug") SELECT "t1"."drug" FROM "t1" "t1" WHERE "t1"."c1" = 2 | 0.495117 |
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 diagnosis (diagnosisid NUMBER, patientunitstayid NUMBER, diagnosisname CLOB, diagnosistime TIME, icd9code CLOB)
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)
CREATE TABLE treatment (treatmentid NUMBER, patientunitstayid NUMBER, treatmentname CLOB, treatmenttime TIME)
CREATE TABLE vitalperiodic (vitalperiodicid NUMBER, patientunitstayid NUMBER, temperature NUMBER, sao2 NUMBER, heartrate NUMBER, respiration NUMBER, systemicsystolic NUMBER, systemicdiastolic NUMBER, systemicmean NUMBER, observationtime TIME)
CREATE TABLE cost (costid NUMBER, uniquepid CLOB, patienthealthsystemstayid NUMBER, eventtype CLOB, eventid NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE 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 allergy (allergyid NUMBER, patientunitstayid NUMBER, drugname CLOB, allergyname CLOB, allergytime TIME)
| has patient 030-31704's heartrate been less than 61.0 degrees until 303 days ago? | SELECT COUNT(*) > 0 FROM vitalperiodic WHERE vitalperiodic.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '030-31704')) AND vitalperiodic.heartrate < 61.0 AND NOT vitalperiodic.heartrate IS NULL AND DATETIME(vitalperiodic.observationtime) <= DATETIME(CURRENT_TIME(), '-303 day') | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '030-31704' 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 COUNT(*) > 0 FROM "vitalperiodic" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "vitalperiodic"."patientunitstayid" WHERE "vitalperiodic"."heartrate" < 61.0 AND DATETIME("vitalperiodic"."observationtime") <= DATETIME(CURRENT_TIME(), '-303 day') AND NOT "_u_1"."" IS NULL AND NOT "vitalperiodic"."heartrate" IS NULL | 0.65332 |
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, show me about the distribution of founder and the average of code , and group by attribute founder in a bar chart, and rank by the total number from high to low. | SELECT T2.Founder, T1.Code FROM Products AS T1 JOIN Manufacturers AS T2 ON T1.Manufacturer = T2.Code GROUP BY T2.Founder ORDER BY T1.Code DESC | SELECT "T2"."Founder", "T1"."Code" FROM "Products" "T1" JOIN "Manufacturers" "T2" ON "T1"."Manufacturer" = "T2"."Code" GROUP BY "T2"."Founder" ORDER BY "T1"."Code" DESC | 0.164063 |
CREATE TABLE table_name_31 (first_year NUMBER, notes VARCHAR2, final_year VARCHAR2)
| What is the average First year that has a Notes of replaced by us 12 when i-94 replaced us 12, and a Final year larger than 1961? | SELECT AVG(first_year) FROM table_name_31 WHERE notes = "replaced by us 12 when i-94 replaced us 12" AND final_year > 1961 | SELECT AVG("first_year") FROM "table_name_31" WHERE "final_year" > 1961 AND "notes" = "replaced by us 12 when i-94 replaced us 12" | 0.126953 |
CREATE TABLE regions (REGION_ID NUMBER, REGION_NAME VARCHAR2)
CREATE TABLE countries (COUNTRY_ID VARCHAR2, COUNTRY_NAME VARCHAR2, REGION_ID NUMBER)
CREATE TABLE departments (DEPARTMENT_ID NUMBER, DEPARTMENT_NAME VARCHAR2, MANAGER_ID NUMBER, LOCATION_ID NUMBER)
CREATE TABLE locations (LOCATION_ID NUMBER, STREET_ADDRESS VARCHAR2, POSTAL_CODE VARCHAR2, CITY VARCHAR2, STATE_PROVINCE VARCHAR2, COUNTRY_ID VARCHAR2)
CREATE TABLE jobs (JOB_ID VARCHAR2, JOB_TITLE VARCHAR2, MIN_SALARY NUMBER, MAX_SALARY NUMBER)
CREATE TABLE 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)
| Show me a bar chart, that simply displays the last name of the employee and the corresponding department's location id, and show by the Y-axis in asc please. | SELECT LAST_NAME, LOCATION_ID FROM employees AS T1 JOIN departments AS T2 ON T1.DEPARTMENT_ID = T2.DEPARTMENT_ID WHERE T1.EMPLOYEE_ID = T2.MANAGER_ID ORDER BY LOCATION_ID | SELECT "LAST_NAME", "LOCATION_ID" FROM "employees" "T1" JOIN "departments" "T2" ON "T1"."DEPARTMENT_ID" = "T2"."DEPARTMENT_ID" AND "T1"."EMPLOYEE_ID" = "T2"."MANAGER_ID" ORDER BY "LOCATION_ID" | 0.1875 |
CREATE TABLE icustays (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, first_careunit CLOB, last_careunit CLOB, first_wardid NUMBER, last_wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto 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 microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
CREATE TABLE d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
CREATE TABLE patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
CREATE TABLE cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
CREATE TABLE d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE labevents (row_id NUMBER, subject_id NUMBER, hadm_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 chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE admissions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, admittime TIME, dischtime TIME, admission_type CLOB, admission_location CLOB, discharge_location CLOB, insurance CLOB, language CLOB, marital_status CLOB, ethnicity CLOB, age NUMBER)
| when patient 85895 received a microbiology test for a urine for the last time during a month before? | SELECT microbiologyevents.charttime FROM microbiologyevents WHERE microbiologyevents.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 85895) AND microbiologyevents.spec_type_desc = 'urine' AND DATETIME(microbiologyevents.charttime, 'start of month') = DATETIME(CURRENT_TIME(), 'start of month', '-1 month') ORDER BY microbiologyevents.charttime DESC LIMIT 1 | WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 85895 GROUP BY "hadm_id") SELECT "microbiologyevents"."charttime" FROM "microbiologyevents" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "microbiologyevents"."hadm_id" WHERE "microbiologyevents"."spec_type_desc" = 'urine' AND DATETIME("microbiologyevents"."charttime", 'start of month') = DATETIME(CURRENT_TIME(), 'start of month', '-1 month') AND NOT "_u_0"."" IS NULL ORDER BY "microbiologyevents"."charttime" DESC FETCH FIRST 1 ROWS ONLY | 0.519531 |
CREATE TABLE labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE transfers (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, eventtype CLOB, careunit CLOB, wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE 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 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 cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE 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 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 outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
CREATE TABLE chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto 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 microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
CREATE TABLE diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
| on this month/26 when patient 28443 received an intake for the first time? | SELECT inputevents_cv.charttime 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 = 28443)) AND DATETIME(inputevents_cv.charttime, 'start of month') = DATETIME(CURRENT_TIME(), 'start of month', '-0 month') AND STRFTIME('%d', inputevents_cv.charttime) = '26' ORDER BY inputevents_cv.charttime LIMIT 1 | WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 28443 GROUP BY "hadm_id"), "_u_1" AS (SELECT "icustays"."icustay_id" FROM "icustays" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "icustays"."hadm_id" WHERE NOT "_u_0"."" IS NULL GROUP BY "icustay_id") SELECT "inputevents_cv"."charttime" FROM "inputevents_cv" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "inputevents_cv"."icustay_id" WHERE DATETIME("inputevents_cv"."charttime", 'start of month') = DATETIME(CURRENT_TIME(), 'start of month', '-0 month') AND NOT "_u_1"."" IS NULL AND STRFTIME('%d', "inputevents_cv"."charttime") = '26' ORDER BY "inputevents_cv"."charttime" FETCH FIRST 1 ROWS ONLY | 0.667969 |
CREATE TABLE table_name_48 (total VARCHAR2, round_1_ VARCHAR2, _2a_points VARCHAR2)
| Name the total number of total when round 1 +2A points of 19.620 | SELECT COUNT(total) FROM table_name_48 WHERE round_1_ + _2a_points = "19.620" | SELECT COUNT("total") FROM "table_name_48" WHERE "19.620" = "round_1_" + "_2a_points" | 0.083008 |
CREATE TABLE table_3583 ("No. in series" FLOAT, "No. in season" FLOAT, "Title" CLOB, "Directed by" CLOB, "Written by" CLOB, "Original air date" CLOB, "U.S. viewers ( millions ) " CLOB)
| what was the name of episode 5? | SELECT "Title" FROM table_3583 WHERE "No. in season" = '5' | SELECT "Title" FROM "table_3583" WHERE "No. in season" = '5' | 0.058594 |
CREATE TABLE table_77501 ("Year" FLOAT, "B\\u00f6tzow" FLOAT, "Schwante" FLOAT, "Vehlefanz" FLOAT, "Neu-Vehlefanz" FLOAT, "Marwitz" FLOAT, "B\\u00e4renklau" FLOAT, "Eichst\\u00e4dt" FLOAT)
| What year has a Schwante smaller than 2.043, an Eichst dt smaller than 848, and a B renklau smaller than 1.262? | SELECT COUNT("Year") FROM table_77501 WHERE "Schwante" < '2.043' AND "Eichst\u00e4dt" < '848' AND "B\u00e4renklau" < '1.262' | SELECT COUNT("Year") FROM "table_77501" WHERE "B\u00e4renklau" < '1.262' AND "Eichst\u00e4dt" < '848' AND "Schwante" < '2.043' | 0.123047 |
CREATE TABLE table_name_44 (score VARCHAR2, high_rebounds VARCHAR2)
| Name the score for howard (8) high rebounds | SELECT score FROM table_name_44 WHERE high_rebounds = "howard (8)" | SELECT "score" FROM "table_name_44" WHERE "high_rebounds" = "howard (8)" | 0.070313 |
CREATE TABLE table_52188 ("Home team" CLOB, "Home team score" CLOB, "Away team" CLOB, "Away team score" CLOB, "Venue" CLOB, "Crowd" FLOAT, "Date" CLOB)
| Who was Carlton's home team opponent? | SELECT "Home team" FROM table_52188 WHERE "Away team" = 'carlton' | SELECT "Home team" FROM "table_52188" WHERE "Away team" = 'carlton' | 0.06543 |
CREATE TABLE table_name_91 (april_28 VARCHAR2, final VARCHAR2, mar_17 VARCHAR2)
| What is the April 28th rank when the Final is 20, and Mar 17 is 22? | SELECT april_28 FROM table_name_91 WHERE final = "20" AND mar_17 = "22" | SELECT "april_28" FROM "table_name_91" WHERE "20" = "final" AND "22" = "mar_17" | 0.077148 |
CREATE TABLE table_name_12 (song VARCHAR2, lead_supporting_vocal VARCHAR2)
| What is the song name that featured Marcus Temu as the lead supporting vocalist? | SELECT song FROM table_name_12 WHERE lead_supporting_vocal = "marcus temu" | SELECT "song" FROM "table_name_12" WHERE "lead_supporting_vocal" = "marcus temu" | 0.078125 |
CREATE TABLE table_77254 ("Date" CLOB, "Tournament" CLOB, "Winning score" CLOB, "Margin of victory" CLOB, "Runner ( s ) -up" CLOB)
| what is the tournament when the winning score is 9 (69-69-70-71=279)? | SELECT "Tournament" FROM table_77254 WHERE "Winning score" = '–9 (69-69-70-71=279)' | SELECT "Tournament" FROM "table_77254" WHERE "Winning score" = '–9 (69-69-70-71=279)' | 0.083008 |
CREATE TABLE table_name_51 (tournament VARCHAR2)
| Which 2009 tournament was french open? | SELECT 2009 FROM table_name_51 WHERE tournament = "french open" | SELECT 2009 FROM "table_name_51" WHERE "french open" = "tournament" | 0.06543 |
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 outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
CREATE TABLE d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto 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 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 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 diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
CREATE TABLE d_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 cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
| what was the three year survival rate of atriovent block nos patients who were prescribed with ferrous sulfate? | SELECT SUM(CASE WHEN patients.dod IS NULL THEN 1 WHEN STRFTIME('%j', patients.dod) - STRFTIME('%j', t4.charttime) > 3 * 365 THEN 1 ELSE 0 END) * 100 / COUNT(*) FROM (SELECT t2.subject_id, t2.charttime FROM (SELECT t1.subject_id, t1.charttime FROM (SELECT admissions.subject_id, diagnoses_icd.charttime FROM diagnoses_icd JOIN admissions ON diagnoses_icd.hadm_id = admissions.hadm_id WHERE diagnoses_icd.icd9_code = (SELECT d_icd_diagnoses.icd9_code FROM d_icd_diagnoses WHERE d_icd_diagnoses.short_title = 'atriovent block nos') GROUP BY admissions.subject_id HAVING MIN(diagnoses_icd.charttime) = diagnoses_icd.charttime) AS t1 WHERE STRFTIME('%j', CURRENT_TIME()) - STRFTIME('%j', t1.charttime) > 3 * 365) AS t2 JOIN (SELECT admissions.subject_id, prescriptions.startdate FROM prescriptions JOIN admissions ON prescriptions.hadm_id = admissions.hadm_id WHERE prescriptions.drug = 'ferrous sulfate') AS t3 ON t2.subject_id = t3.subject_id WHERE t2.charttime < t3.startdate) AS t4 JOIN patients ON t4.subject_id = patients.subject_id | WITH "t1" AS (SELECT "admissions"."subject_id", "diagnoses_icd"."charttime" FROM "diagnoses_icd" JOIN "d_icd_diagnoses" ON "d_icd_diagnoses"."icd9_code" = "diagnoses_icd"."icd9_code" AND "d_icd_diagnoses"."short_title" = 'atriovent block nos' JOIN "admissions" ON "admissions"."hadm_id" = "diagnoses_icd"."hadm_id" GROUP BY "admissions"."subject_id" HAVING "diagnoses_icd"."charttime" = MIN("diagnoses_icd"."charttime")), "t3" AS (SELECT "admissions"."subject_id", "prescriptions"."startdate" FROM "prescriptions" JOIN "admissions" ON "admissions"."hadm_id" = "prescriptions"."hadm_id" WHERE "prescriptions"."drug" = 'ferrous sulfate') SELECT SUM(CASE WHEN "patients"."dod" IS NULL THEN 1 WHEN STRFTIME('%j', "patients"."dod") - STRFTIME('%j', "t1"."charttime") > 1095 THEN 1 ELSE 0 END) * 100 / NULLIF(COUNT(*), 0) FROM "t1" "t1" JOIN "t3" "t3" ON "t1"."charttime" < "t3"."startdate" AND "t1"."subject_id" = "t3"."subject_id" JOIN "patients" ON "patients"."subject_id" = "t1"."subject_id" WHERE STRFTIME('%j', CURRENT_TIME()) - STRFTIME('%j', "t1"."charttime") > 1095 | 1.042969 |
CREATE TABLE table_78925 ("Opposing Teams" CLOB, "Against" FLOAT, "Date" CLOB, "Venue" CLOB, "Status" CLOB)
| What was the venue for the game played on 16/01/1954, when the against was more than 3? | SELECT "Venue" FROM table_78925 WHERE "Against" > '3' AND "Date" = '16/01/1954' | SELECT "Venue" FROM "table_78925" WHERE "Against" > '3' AND "Date" = '16/01/1954' | 0.079102 |
CREATE TABLE table_26601 ("Week" FLOAT, "Date" CLOB, "Opponent" CLOB, "Location" CLOB, "Final Score" CLOB, "Attendance" FLOAT, "Record" CLOB)
| Name the least attendance for l 36 1 | SELECT MIN("Attendance") FROM table_26601 WHERE "Final Score" = 'L 36–1' | SELECT MIN("Attendance") FROM "table_26601" WHERE "Final Score" = 'L 36–1' | 0.072266 |
CREATE TABLE table_250230_2 (brakes VARCHAR2, model VARCHAR2, wheels VARCHAR2, tyres VARCHAR2)
| What kind of brakes for the model type rb 4at with 16x8.0jj (front) 16x8.0jj (rear) wheels and 225/50r16 92v(front) 225/50r16 92v(rear) tyres? | SELECT brakes FROM table_250230_2 WHERE wheels = "16x8.0JJ (front) 16x8.0JJ (rear)" AND tyres = "225/50R16 92V(front) 225/50R16 92V(rear)" AND model = "Type RB 4AT" | SELECT "brakes" FROM "table_250230_2" WHERE "16x8.0JJ (front) 16x8.0JJ (rear)" = "wheels" AND "225/50R16 92V(front) 225/50R16 92V(rear)" = "tyres" AND "Type RB 4AT" = "model" | 0.169922 |
CREATE TABLE table_14219514_2 (home__1st_leg_ VARCHAR2, aggregate VARCHAR2)
| When 0-1 is the aggregate what are the home (1st leg)? | SELECT home__1st_leg_ FROM table_14219514_2 WHERE aggregate = "0-1" | SELECT "home__1st_leg_" FROM "table_14219514_2" WHERE "0-1" = "aggregate" | 0.071289 |
CREATE TABLE table_33497 ("Date" CLOB, "Name" CLOB, "Party" CLOB, "Province" CLOB, "Details" CLOB)
| Which province had a liberal party member on December 31, 2006? | SELECT "Province" FROM table_33497 WHERE "Party" = 'liberal' AND "Date" = 'december 31, 2006' | SELECT "Province" FROM "table_33497" WHERE "Date" = 'december 31, 2006' AND "Party" = 'liberal' | 0.092773 |
CREATE TABLE table_204_206 (id NUMBER, "saros" NUMBER, "member" NUMBER, "date" CLOB, "time\ ( greatest ) \ utc" CLOB, "type" CLOB, "location\ lat , long" CLOB, "gamma" NUMBER, "mag." NUMBER, "width\ ( km ) " NUMBER, "duration\ ( min:sec ) " CLOB, "ref" NUMBER)
| what is the difference in magnitude between the may 13 , 2181 solar saros and the may 24 , 2199 solar saros ? | SELECT ABS((SELECT "mag." FROM table_204_206 WHERE "date" = 'may 13, 2181') - (SELECT "mag." FROM table_204_206 WHERE "date" = 'may 24, 2199')) | SELECT ABS((SELECT "mag." FROM "table_204_206" WHERE "date" = 'may 13, 2181') - (SELECT "mag." FROM "table_204_206" WHERE "date" = 'may 24, 2199')) | 0.143555 |
CREATE TABLE table_7861 ("Position" FLOAT, "Club" CLOB, "Played" FLOAT, "Points" FLOAT, "Wins" FLOAT, "Draws" FLOAT, "Losses" FLOAT, "Goals for" FLOAT, "Goals against" FLOAT, "Goal Difference" FLOAT)
| What is the total amount of points for a position less than 7, 68 goals for, and less than 30 played? | SELECT COUNT("Points") FROM table_7861 WHERE "Position" < '7' AND "Goals for" = '68' AND "Played" < '30' | SELECT COUNT("Points") FROM "table_7861" WHERE "Goals for" = '68' AND "Played" < '30' AND "Position" < '7' | 0.103516 |
CREATE TABLE field (fieldid NUMBER)
CREATE TABLE paper (paperid NUMBER, title VARCHAR2, venueid NUMBER, year NUMBER, numciting NUMBER, numcitedby NUMBER, journalid NUMBER)
CREATE TABLE dataset (datasetid NUMBER, datasetname VARCHAR2)
CREATE TABLE paperkeyphrase (paperid NUMBER, keyphraseid NUMBER)
CREATE TABLE paperfield (fieldid NUMBER, paperid NUMBER)
CREATE TABLE journal (journalid NUMBER, journalname VARCHAR2)
CREATE TABLE writes (paperid NUMBER, authorid NUMBER)
CREATE TABLE author (authorid NUMBER, authorname VARCHAR2)
CREATE TABLE paperdataset (paperid NUMBER, datasetid NUMBER)
CREATE TABLE cite (citingpaperid NUMBER, citedpaperid NUMBER)
CREATE TABLE venue (venueid NUMBER, venuename VARCHAR2)
CREATE TABLE keyphrase (keyphraseid NUMBER, keyphrasename VARCHAR2)
| list papers published by balakrishnan prabhakaran | SELECT DISTINCT paper.paperid, paper.year FROM author, paper, writes WHERE author.authorname = 'balakrishnan prabhakaran' AND writes.authorid = author.authorid AND writes.paperid = paper.paperid | SELECT DISTINCT "paper"."paperid", "paper"."year" FROM "author" JOIN "writes" ON "author"."authorid" = "writes"."authorid" JOIN "paper" ON "paper"."paperid" = "writes"."paperid" WHERE "author"."authorname" = 'balakrishnan prabhakaran' | 0.228516 |
CREATE TABLE table_204_737 (id NUMBER, "year" NUMBER, "order" CLOB, "quantity" NUMBER, "ger nos." CLOB)
| what is the number of years with a quantity of 10 ? | SELECT COUNT(DISTINCT "year") FROM table_204_737 WHERE "quantity" = 10 | SELECT COUNT(DISTINCT "year") FROM "table_204_737" WHERE "quantity" = 10 | 0.070313 |
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE 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)
| give me the number of patients whose diagnoses long title is unspecified disorder of kidney and ureter and drug type is main? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE diagnoses.long_title = "Unspecified disorder of kidney and ureter" AND prescriptions.drug_type = "MAIN" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "Unspecified disorder of kidney and ureter" = "diagnoses"."long_title" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" JOIN "prescriptions" ON "MAIN" = "prescriptions"."drug_type" AND "demographic"."hadm_id" = "prescriptions"."hadm_id" | 0.320313 |
CREATE TABLE table_name_10 (margin_of_victory VARCHAR2, date VARCHAR2)
| What was Juli's winning margin on Aug 24, 1986? | SELECT margin_of_victory FROM table_name_10 WHERE date = "aug 24, 1986" | SELECT "margin_of_victory" FROM "table_name_10" WHERE "aug 24, 1986" = "date" | 0.075195 |
CREATE TABLE weather (date CLOB, max_temperature_f NUMBER, mean_temperature_f NUMBER, min_temperature_f NUMBER, max_dew_point_f NUMBER, mean_dew_point_f NUMBER, min_dew_point_f NUMBER, max_humidity NUMBER, mean_humidity NUMBER, min_humidity NUMBER, max_sea_level_pressure_inches NUMBER, mean_sea_level_pressure_inches NUMBER, min_sea_level_pressure_inches NUMBER, max_visibility_miles NUMBER, mean_visibility_miles NUMBER, min_visibility_miles NUMBER, max_wind_Speed_mph NUMBER, mean_wind_speed_mph NUMBER, max_gust_speed_mph NUMBER, precipitation_inches NUMBER, cloud_cover NUMBER, events CLOB, wind_dir_degrees NUMBER, zip_code NUMBER)
CREATE TABLE status (station_id NUMBER, bikes_available NUMBER, docks_available NUMBER, time CLOB)
CREATE TABLE station (id NUMBER, name CLOB, lat NUMBER, long NUMBER, dock_count NUMBER, city CLOB, installation_date CLOB)
CREATE TABLE trip (id NUMBER, duration NUMBER, start_date CLOB, start_station_name CLOB, start_station_id NUMBER, end_date CLOB, end_station_name CLOB, end_station_id NUMBER, bike_id NUMBER, subscription_type CLOB, zip_code NUMBER)
| Find the ids and names of stations from which at least 200 trips started, and rank from low to high by the X-axis. | SELECT start_station_name, start_station_id FROM trip ORDER BY start_station_name | SELECT "start_station_name", "start_station_id" FROM "trip" ORDER BY "start_station_name" | 0.086914 |
CREATE TABLE table_name_41 (opponent VARCHAR2, round VARCHAR2)
| What opponent has 32 as the round? | SELECT opponent FROM table_name_41 WHERE round = "32" | SELECT "opponent" FROM "table_name_41" WHERE "32" = "round" | 0.057617 |
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 microlab (microlabid NUMBER, patientunitstayid NUMBER, culturesite CLOB, organism CLOB, culturetakentime TIME)
CREATE TABLE diagnosis (diagnosisid NUMBER, patientunitstayid NUMBER, diagnosisname CLOB, diagnosistime TIME, icd9code CLOB)
CREATE TABLE allergy (allergyid NUMBER, patientunitstayid NUMBER, drugname CLOB, allergyname CLOB, allergytime TIME)
CREATE TABLE vitalperiodic (vitalperiodicid NUMBER, patientunitstayid NUMBER, temperature NUMBER, sao2 NUMBER, heartrate NUMBER, respiration NUMBER, systemicsystolic NUMBER, systemicdiastolic NUMBER, systemicmean NUMBER, observationtime TIME)
CREATE TABLE medication (medicationid NUMBER, patientunitstayid NUMBER, drugname CLOB, dosage CLOB, routeadmin CLOB, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE patient (uniquepid CLOB, patienthealthsystemstayid NUMBER, patientunitstayid NUMBER, gender CLOB, age CLOB, ethnicity CLOB, hospitalid NUMBER, wardid NUMBER, admissionheight NUMBER, admissionweight NUMBER, dischargeweight NUMBER, hospitaladmittime TIME, hospitaladmitsource CLOB, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus CLOB)
CREATE TABLE treatment (treatmentid NUMBER, patientunitstayid NUMBER, treatmentname CLOB, treatmenttime TIME)
CREATE TABLE intakeoutput (intakeoutputid NUMBER, patientunitstayid NUMBER, cellpath CLOB, celllabel CLOB, cellvaluenumeric NUMBER, intakeoutputtime TIME)
| did patient 006-36108 have an allergic reaction to anything in 05/this year? | SELECT COUNT(*) > 0 FROM allergy WHERE allergy.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '006-36108')) AND DATETIME(allergy.allergytime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-0 year') AND STRFTIME('%m', allergy.allergytime) = '05' | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '006-36108' 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 COUNT(*) > 0 FROM "allergy" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "allergy"."patientunitstayid" WHERE DATETIME("allergy"."allergytime", 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-0 year') AND NOT "_u_1"."" IS NULL AND STRFTIME('%m', "allergy"."allergytime") = '05' | 0.631836 |
CREATE TABLE table_name_19 (exit_date VARCHAR2, transfer_fee VARCHAR2, to_club VARCHAR2)
| What is the exit date of the player transferred to Reggina for free? | SELECT exit_date FROM table_name_19 WHERE transfer_fee = "free" AND to_club = "reggina" | SELECT "exit_date" FROM "table_name_19" WHERE "free" = "transfer_fee" AND "reggina" = "to_club" | 0.092773 |
CREATE TABLE table_name_1 (name VARCHAR2, nationality VARCHAR2)
| what is the name for the nationality total:? | SELECT name FROM table_name_1 WHERE nationality = "total:" | SELECT "name" FROM "table_name_1" WHERE "nationality" = "total:" | 0.0625 |
CREATE TABLE table_203_421 (id NUMBER, "name" CLOB, "from" CLOB, "until" CLOB, "relationship with predecessor" CLOB)
| who was the last head of medici ? | SELECT "name" FROM table_203_421 ORDER BY "from" DESC LIMIT 1 | SELECT "name" FROM "table_203_421" ORDER BY "from" DESC FETCH FIRST 1 ROWS ONLY | 0.077148 |
CREATE TABLE table_69994 ("Date" CLOB, "Visitor" CLOB, "Score" CLOB, "Home" CLOB, "Record" CLOB)
| Which Visitor is listed as having a Date of December 17? | SELECT "Visitor" FROM table_69994 WHERE "Date" = 'december 17' | SELECT "Visitor" FROM "table_69994" WHERE "Date" = 'december 17' | 0.0625 |
CREATE TABLE table_45369 ("Stage" CLOB, "Winner" CLOB, "General Classification" CLOB, "Mountains Classification" CLOB, "Points Classification" CLOB, "Sprints classification" CLOB, "Team Classification" CLOB)
| Which Points Classification does the General Classification of Cyril Dessel have? | SELECT "Points Classification" FROM table_45369 WHERE "General Classification" = 'cyril dessel' | SELECT "Points Classification" FROM "table_45369" WHERE "General Classification" = 'cyril dessel' | 0.094727 |
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_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto 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 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 microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
CREATE TABLE diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
CREATE TABLE patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
CREATE TABLE procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE 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 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 labevents (row_id NUMBER, subject_id NUMBER, hadm_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)
| how much weight has change of patient 6170 second measured on the current hospital visit compared to the first value measured on the current hospital visit? | SELECT (SELECT chartevents.valuenum FROM chartevents WHERE chartevents.icustay_id IN (SELECT icustays.icustay_id FROM icustays WHERE icustays.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 6170 AND admissions.dischtime IS NULL)) AND chartevents.itemid IN (SELECT d_items.itemid FROM d_items WHERE d_items.label = 'admit wt' AND d_items.linksto = 'chartevents') ORDER BY chartevents.charttime LIMIT 1 OFFSET 1) - (SELECT chartevents.valuenum FROM chartevents WHERE chartevents.icustay_id IN (SELECT icustays.icustay_id FROM icustays WHERE icustays.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 6170 AND admissions.dischtime IS NULL)) AND chartevents.itemid IN (SELECT d_items.itemid FROM d_items WHERE d_items.label = 'admit wt' AND d_items.linksto = 'chartevents') ORDER BY chartevents.charttime LIMIT 1) | WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."dischtime" IS NULL AND "admissions"."subject_id" = 6170 GROUP BY "hadm_id"), "_u_1" AS (SELECT "icustays"."icustay_id" FROM "icustays" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "icustays"."hadm_id" WHERE NOT "_u_0"."" IS NULL GROUP BY "icustay_id"), "_u_2" AS (SELECT "d_items"."itemid" FROM "d_items" WHERE "d_items"."label" = 'admit wt' AND "d_items"."linksto" = 'chartevents' GROUP BY "itemid"), "_u_5" AS (SELECT "icustays"."icustay_id" FROM "icustays" LEFT JOIN "_u_0" "_u_4" ON "_u_4"."" = "icustays"."hadm_id" WHERE NOT "_u_4"."" IS NULL GROUP BY "icustay_id") SELECT (SELECT "chartevents"."valuenum" FROM "chartevents" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "chartevents"."icustay_id" LEFT JOIN "_u_2" "_u_2" ON "_u_2"."" = "chartevents"."itemid" WHERE NOT "_u_1"."" IS NULL AND NOT "_u_2"."" IS NULL ORDER BY "chartevents"."charttime" OFFSET 1 ROWS FETCH FIRST 1 ROWS ONLY) - (SELECT "chartevents"."valuenum" FROM "chartevents" LEFT JOIN "_u_5" "_u_5" ON "_u_5"."" = "chartevents"."icustay_id" LEFT JOIN "_u_2" "_u_6" ON "_u_6"."" = "chartevents"."itemid" WHERE NOT "_u_5"."" IS NULL AND NOT "_u_6"."" IS NULL ORDER BY "chartevents"."charttime" FETCH FIRST 1 ROWS ONLY) | 1.229492 |
CREATE TABLE table_7603 ("Publication" CLOB, "Country" CLOB, "Accolade" CLOB, "Year" FLOAT, "Rank" FLOAT)
| What is the highest Rank, when Publication is Dagsavisen, and when Year is less than 2005? | SELECT MAX("Rank") FROM table_7603 WHERE "Publication" = 'dagsavisen' AND "Year" < '2005' | SELECT MAX("Rank") FROM "table_7603" WHERE "Publication" = 'dagsavisen' AND "Year" < '2005' | 0.088867 |
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
| what is minimum age of patients whose marital status is single and admission year is greater than or equal to 2158? | SELECT MIN(demographic.age) FROM demographic WHERE demographic.marital_status = "SINGLE" AND demographic.admityear >= "2158" | SELECT MIN("demographic"."age") FROM "demographic" WHERE "2158" <= "demographic"."admityear" AND "SINGLE" = "demographic"."marital_status" | 0.134766 |
CREATE TABLE table_dev_24 ("id" NUMBER, "active_ocular_disease" BOOLEAN, "systolic_blood_pressure_sbp" NUMBER, "active_infection" BOOLEAN, "hemoglobin_a1c_hba1c" FLOAT, "body_weight" FLOAT, "diabetic" CLOB, "seasonal_allergy" BOOLEAN, "retinal_nerve_disease" BOOLEAN, "diastolic_blood_pressure_dbp" NUMBER, "diabetes" BOOLEAN, "glycohemoglobin" FLOAT, "fasting_insulin" NUMBER, "glaucoma" BOOLEAN, "optic_nerve_disease" BOOLEAN, "body_mass_index_bmi" FLOAT, "dry_eye_symptoms" BOOLEAN, "NOUSE" FLOAT)
| have had diabetes for at least 1 year, and in good control ( hba1c < 8.5 % ) | SELECT * FROM table_dev_24 WHERE diabetes = 1 AND hemoglobin_a1c_hba1c < 8.5 | SELECT * FROM "table_dev_24" WHERE "diabetes" = 1 AND "hemoglobin_a1c_hba1c" < 8.5 | 0.080078 |
CREATE TABLE table_name_37 (score VARCHAR2, attendance VARCHAR2)
| What is the score of the game with 1,125 people in attendance? | SELECT score FROM table_name_37 WHERE attendance = "1,125" | SELECT "score" FROM "table_name_37" WHERE "1,125" = "attendance" | 0.0625 |
CREATE TABLE customer_policies (policy_id NUMBER, customer_id NUMBER, policy_type_code CLOB, start_date TIME, end_date TIME)
CREATE TABLE settlements (settlement_id NUMBER, claim_id NUMBER, date_claim_made TIME, date_claim_settled TIME, amount_claimed NUMBER, amount_settled NUMBER, customer_policy_id NUMBER)
CREATE TABLE claims (claim_id NUMBER, policy_id NUMBER, date_claim_made TIME, date_claim_settled TIME, amount_claimed NUMBER, amount_settled NUMBER)
CREATE TABLE customers (customer_id NUMBER, customer_details CLOB)
CREATE TABLE payments (payment_id NUMBER, settlement_id NUMBER, payment_method_code CLOB, date_payment_made TIME, amount_payment NUMBER)
| With which kind of payment method were the least number of payments processed? | SELECT payment_method_code FROM payments GROUP BY payment_method_code ORDER BY COUNT(*) LIMIT 1 | SELECT "payment_method_code" FROM "payments" GROUP BY "payment_method_code" ORDER BY COUNT(*) FETCH FIRST 1 ROWS ONLY | 0.114258 |
CREATE TABLE table_20267 ("Year" FLOAT, "Division" CLOB, "League" CLOB, "Regular Season" CLOB, "Playoffs" CLOB, "Open Cup" CLOB)
| What was the playoff advancement during the year 1998? | SELECT "Playoffs" FROM table_20267 WHERE "Year" = '1998' | SELECT "Playoffs" FROM "table_20267" WHERE "Year" = '1998' | 0.056641 |
CREATE TABLE table_name_86 (runner_up VARCHAR2, tournament VARCHAR2)
| Who was the runner-up in the tournament in London? | SELECT runner_up FROM table_name_86 WHERE tournament = "london" | SELECT "runner_up" FROM "table_name_86" WHERE "london" = "tournament" | 0.067383 |
CREATE TABLE table_49382 ("Result" CLOB, "Race" CLOB, "Distance" CLOB, "Weight" FLOAT, "Winner or 2nd" CLOB, "Pos'n" CLOB)
| What is the race with a 10f distance and mollison as the winner or 2nd? | SELECT "Race" FROM table_49382 WHERE "Distance" = '10f' AND "Winner or 2nd" = 'mollison' | SELECT "Race" FROM "table_49382" WHERE "Distance" = '10f' AND "Winner or 2nd" = 'mollison' | 0.087891 |
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
| how many patients have been prescribed the drug gemfibrozil? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE prescriptions.drug = "Gemfibrozil" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "prescriptions" ON "Gemfibrozil" = "prescriptions"."drug" AND "demographic"."hadm_id" = "prescriptions"."hadm_id" | 0.182617 |
CREATE TABLE table_50039 ("Date" CLOB, "Visitor" CLOB, "Score" CLOB, "Home" CLOB, "Decision" CLOB, "Attendance" FLOAT, "Record" CLOB, "Points" FLOAT)
| Which Score has a Visitor of montreal canadiens, and Points of 5? | SELECT "Score" FROM table_50039 WHERE "Visitor" = 'montreal canadiens' AND "Points" = '5' | SELECT "Score" FROM "table_50039" WHERE "Points" = '5' AND "Visitor" = 'montreal canadiens' | 0.088867 |
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 demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
| count the number of patients whose diagnoses long title is polyneuropathy in diabetes and drug type is base? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE diagnoses.long_title = "Polyneuropathy in diabetes" AND prescriptions.drug_type = "BASE" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "Polyneuropathy in diabetes" = "diagnoses"."long_title" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" JOIN "prescriptions" ON "BASE" = "prescriptions"."drug_type" AND "demographic"."hadm_id" = "prescriptions"."hadm_id" | 0.305664 |
CREATE TABLE patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
CREATE TABLE inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
CREATE TABLE diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE admissions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, admittime TIME, dischtime TIME, admission_type CLOB, admission_location CLOB, discharge_location CLOB, insurance CLOB, language CLOB, marital_status CLOB, ethnicity CLOB, age NUMBER)
CREATE TABLE transfers (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, eventtype CLOB, careunit CLOB, wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
CREATE TABLE microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
CREATE TABLE chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
CREATE TABLE d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE prescriptions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, startdate TIME, enddate TIME, drug CLOB, dose_val_rx CLOB, dose_unit_rx CLOB, route CLOB)
CREATE TABLE procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
CREATE TABLE icustays (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, first_careunit CLOB, last_careunit CLOB, first_wardid NUMBER, last_wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
| have prednisone, metoprolol tartrate, or insulin been prescribed for patient 1462 since 08/2105? | SELECT COUNT(*) > 0 FROM prescriptions WHERE prescriptions.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 1462) AND prescriptions.drug IN ('prednisone', 'metoprolol tartrate', 'insulin') AND STRFTIME('%y-%m', prescriptions.startdate) >= '2105-08' | WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 1462 GROUP BY "hadm_id") SELECT COUNT(*) > 0 FROM "prescriptions" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "prescriptions"."hadm_id" WHERE "prescriptions"."drug" IN ('prednisone', 'metoprolol tartrate', 'insulin') AND NOT "_u_0"."" IS NULL AND STRFTIME('%y-%m', "prescriptions"."startdate") >= '2105-08' | 0.389648 |
CREATE TABLE admissions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, admittime TIME, dischtime TIME, admission_type CLOB, admission_location CLOB, discharge_location CLOB, insurance CLOB, language CLOB, marital_status CLOB, ethnicity CLOB, age NUMBER)
CREATE TABLE d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE 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 inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
CREATE TABLE d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
CREATE TABLE 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 microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
CREATE TABLE labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
CREATE TABLE transfers (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, eventtype CLOB, careunit CLOB, wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
CREATE TABLE chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
CREATE TABLE icustays (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, first_careunit CLOB, last_careunit CLOB, first_wardid NUMBER, last_wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
| when was first time patient 739 was measured with a greater arterial bp [systolic] than 101.0 on the current intensive care unit visit? | SELECT chartevents.charttime FROM chartevents WHERE chartevents.icustay_id IN (SELECT icustays.icustay_id FROM icustays WHERE icustays.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 739) AND icustays.outtime IS NULL) AND chartevents.itemid IN (SELECT d_items.itemid FROM d_items WHERE d_items.label = 'arterial bp [systolic]' AND d_items.linksto = 'chartevents') AND chartevents.valuenum > 101.0 ORDER BY chartevents.charttime LIMIT 1 | WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 739 GROUP BY "hadm_id"), "_u_1" AS (SELECT "icustays"."icustay_id" FROM "icustays" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "icustays"."hadm_id" WHERE "icustays"."outtime" IS NULL AND NOT "_u_0"."" IS NULL GROUP BY "icustay_id"), "_u_2" AS (SELECT "d_items"."itemid" FROM "d_items" WHERE "d_items"."label" = 'arterial bp [systolic]' AND "d_items"."linksto" = 'chartevents' GROUP BY "itemid") SELECT "chartevents"."charttime" FROM "chartevents" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "chartevents"."icustay_id" LEFT JOIN "_u_2" "_u_2" ON "_u_2"."" = "chartevents"."itemid" WHERE "chartevents"."valuenum" > 101.0 AND NOT "_u_1"."" IS NULL AND NOT "_u_2"."" IS NULL ORDER BY "chartevents"."charttime" FETCH FIRST 1 ROWS ONLY | 0.797852 |
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 prescriptions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, startdate TIME, enddate TIME, drug CLOB, dose_val_rx CLOB, dose_unit_rx CLOB, route CLOB)
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
CREATE TABLE 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 microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
CREATE TABLE icustays (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, first_careunit CLOB, last_careunit CLOB, first_wardid NUMBER, last_wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE 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 cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod 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 d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
| what was the first height of patient 31880 until 03/2104. | SELECT chartevents.valuenum FROM chartevents WHERE chartevents.icustay_id IN (SELECT icustays.icustay_id FROM icustays WHERE icustays.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 31880)) AND chartevents.itemid IN (SELECT d_items.itemid FROM d_items WHERE d_items.label = 'admit ht' AND d_items.linksto = 'chartevents') AND STRFTIME('%y-%m', chartevents.charttime) <= '2104-03' ORDER BY chartevents.charttime LIMIT 1 | WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 31880 GROUP BY "hadm_id"), "_u_1" AS (SELECT "icustays"."icustay_id" FROM "icustays" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "icustays"."hadm_id" WHERE NOT "_u_0"."" IS NULL GROUP BY "icustay_id"), "_u_2" AS (SELECT "d_items"."itemid" FROM "d_items" WHERE "d_items"."label" = 'admit ht' AND "d_items"."linksto" = 'chartevents' GROUP BY "itemid") SELECT "chartevents"."valuenum" FROM "chartevents" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "chartevents"."icustay_id" LEFT JOIN "_u_2" "_u_2" ON "_u_2"."" = "chartevents"."itemid" WHERE NOT "_u_1"."" IS NULL AND NOT "_u_2"."" IS NULL AND STRFTIME('%y-%m', "chartevents"."charttime") <= '2104-03' ORDER BY "chartevents"."charttime" FETCH FIRST 1 ROWS ONLY | 0.777344 |
CREATE TABLE table_78791 ("Release" CLOB, "Chart" CLOB, "Peak Position" FLOAT, "Sales Total" FLOAT, "Chart Run" CLOB)
| Which Chart has a Peak Position of 1? | SELECT "Chart" FROM table_78791 WHERE "Peak Position" = '1' | SELECT "Chart" FROM "table_78791" WHERE "Peak Position" = '1' | 0.05957 |
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 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 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 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 labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE admissions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, admittime TIME, dischtime TIME, admission_type CLOB, admission_location CLOB, discharge_location CLOB, insurance CLOB, language CLOB, marital_status CLOB, ethnicity CLOB, age NUMBER)
CREATE TABLE patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
CREATE TABLE inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
| what is the yearly average of patient 21079's weight since 5 years ago? | SELECT AVG(chartevents.valuenum) FROM chartevents WHERE chartevents.icustay_id IN (SELECT icustays.icustay_id FROM icustays WHERE icustays.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 21079)) AND chartevents.itemid IN (SELECT d_items.itemid FROM d_items WHERE d_items.label = 'admit wt' AND d_items.linksto = 'chartevents') AND DATETIME(chartevents.charttime) >= DATETIME(CURRENT_TIME(), '-5 year') GROUP BY STRFTIME('%y', chartevents.charttime) | WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 21079 GROUP BY "hadm_id"), "_u_1" AS (SELECT "icustays"."icustay_id" FROM "icustays" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "icustays"."hadm_id" WHERE NOT "_u_0"."" IS NULL GROUP BY "icustay_id"), "_u_2" AS (SELECT "d_items"."itemid" FROM "d_items" WHERE "d_items"."label" = 'admit wt' AND "d_items"."linksto" = 'chartevents' GROUP BY "itemid") SELECT AVG("chartevents"."valuenum") FROM "chartevents" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "chartevents"."icustay_id" LEFT JOIN "_u_2" "_u_2" ON "_u_2"."" = "chartevents"."itemid" WHERE DATETIME("chartevents"."charttime") >= DATETIME(CURRENT_TIME(), '-5 year') AND NOT "_u_1"."" IS NULL AND NOT "_u_2"."" IS NULL GROUP BY STRFTIME('%y', "chartevents"."charttime") | 0.791016 |
CREATE TABLE table_name_90 (attendance NUMBER, week VARCHAR2)
| What was the lowest Attendance during Week 12? | SELECT MIN(attendance) FROM table_name_90 WHERE week = 12 | SELECT MIN("attendance") FROM "table_name_90" WHERE "week" = 12 | 0.061523 |
CREATE TABLE song (song_name VARCHAR2, artist_name VARCHAR2, country VARCHAR2, f_id NUMBER, genre_is VARCHAR2, rating NUMBER, languages VARCHAR2, releasedate DATE, resolution NUMBER)
CREATE TABLE genre (g_name VARCHAR2, rating VARCHAR2, most_popular_in VARCHAR2)
CREATE TABLE artist (artist_name VARCHAR2, country VARCHAR2, gender VARCHAR2, preferred_genre VARCHAR2)
CREATE TABLE files (f_id NUMBER, artist_name VARCHAR2, file_size VARCHAR2, duration VARCHAR2, formats VARCHAR2)
| What countries are the female artists who sung in the language Bangla from, and count them by a bar chart, could you sort bars from low to high order? | SELECT T1.country, T1.country FROM artist AS T1 JOIN song AS T2 ON T1.artist_name = T2.artist_name WHERE T1.gender = "Female" AND T2.languages = "bangla" GROUP BY T1.country ORDER BY T1.country | SELECT "T1"."country", "T1"."country" FROM "artist" "T1" JOIN "song" "T2" ON "T1"."artist_name" = "T2"."artist_name" AND "T2"."languages" = "bangla" WHERE "Female" = "T1"."gender" GROUP BY "T1"."country" ORDER BY "T1"."country" | 0.22168 |
CREATE TABLE allergy (allergyid NUMBER, patientunitstayid NUMBER, drugname CLOB, allergyname CLOB, allergytime TIME)
CREATE TABLE cost (costid NUMBER, uniquepid CLOB, patienthealthsystemstayid NUMBER, eventtype CLOB, eventid NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE microlab (microlabid NUMBER, patientunitstayid NUMBER, culturesite CLOB, organism CLOB, culturetakentime TIME)
CREATE TABLE intakeoutput (intakeoutputid NUMBER, patientunitstayid NUMBER, cellpath CLOB, celllabel CLOB, cellvaluenumeric NUMBER, intakeoutputtime TIME)
CREATE TABLE 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 patient (uniquepid CLOB, patienthealthsystemstayid NUMBER, patientunitstayid NUMBER, gender CLOB, age CLOB, ethnicity CLOB, hospitalid NUMBER, wardid NUMBER, admissionheight NUMBER, admissionweight NUMBER, dischargeweight NUMBER, hospitaladmittime TIME, hospitaladmitsource CLOB, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus CLOB)
CREATE TABLE lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime TIME)
CREATE TABLE medication (medicationid NUMBER, patientunitstayid NUMBER, drugname CLOB, dosage CLOB, routeadmin CLOB, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE treatment (treatmentid NUMBER, patientunitstayid NUMBER, treatmentname CLOB, treatmenttime TIME)
| have any laboratory tests been performed in 03/last year on patient 009-1746? | SELECT COUNT(*) > 0 FROM lab WHERE lab.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '009-1746')) AND DATETIME(lab.labresulttime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year') AND STRFTIME('%m', lab.labresulttime) = '03' | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '009-1746' 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 COUNT(*) > 0 FROM "lab" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "lab"."patientunitstayid" WHERE DATETIME("lab"."labresulttime", 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year') AND NOT "_u_1"."" IS NULL AND STRFTIME('%m', "lab"."labresulttime") = '03' | 0.619141 |
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 d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
CREATE TABLE inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
CREATE TABLE microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
CREATE TABLE icustays (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, first_careunit CLOB, last_careunit CLOB, first_wardid NUMBER, last_wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE 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 outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
CREATE TABLE chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE 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 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)
| has patient 5310 been administered any d10w during the last month? | SELECT COUNT(*) > 0 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 = 5310)) AND inputevents_cv.itemid IN (SELECT d_items.itemid FROM d_items WHERE d_items.label = 'd10w' AND d_items.linksto = 'inputevents_cv') AND DATETIME(inputevents_cv.charttime, 'start of month') = DATETIME(CURRENT_TIME(), 'start of month', '-1 month') | WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 5310 GROUP BY "hadm_id"), "_u_1" AS (SELECT "icustays"."icustay_id" FROM "icustays" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "icustays"."hadm_id" WHERE NOT "_u_0"."" IS NULL GROUP BY "icustay_id"), "_u_2" AS (SELECT "d_items"."itemid" FROM "d_items" WHERE "d_items"."label" = 'd10w' AND "d_items"."linksto" = 'inputevents_cv' GROUP BY "itemid") SELECT COUNT(*) > 0 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 DATETIME("inputevents_cv"."charttime", 'start of month') = DATETIME(CURRENT_TIME(), 'start of month', '-1 month') AND NOT "_u_1"."" IS NULL AND NOT "_u_2"."" IS NULL | 0.769531 |
CREATE TABLE table_204_971 (id NUMBER, "m" NUMBER, "date" CLOB, "tournament" CLOB, "round" CLOB, "ground" CLOB, "opponent" CLOB, "score" CLOB, "attendance" NUMBER, "dinamo scorers" CLOB, "report" CLOB)
| what is the total number of points scored by this team this season ? | SELECT SUM("score") FROM table_204_971 | SELECT SUM("score") FROM "table_204_971" | 0.039063 |
CREATE TABLE table_name_34 (time VARCHAR2, date VARCHAR2, loss VARCHAR2)
| What is the Time on july 18 that has a Loss of lilly (3-3)? | SELECT time FROM table_name_34 WHERE date = "july 18" AND loss = "lilly (3-3)" | SELECT "time" FROM "table_name_34" WHERE "date" = "july 18" AND "lilly (3-3)" = "loss" | 0.083984 |
CREATE TABLE Products (Code NUMBER, Name VARCHAR2, Price NUMBER, Manufacturer NUMBER)
CREATE TABLE Manufacturers (Code NUMBER, Name VARCHAR2, Headquarter VARCHAR2, Founder VARCHAR2, Revenue FLOAT)
| Please show me a bar chart for visualizing the name and revenue of all manufacturers sorted by their revenue in the descending order. | SELECT Name, Revenue FROM Manufacturers ORDER BY Revenue DESC | SELECT "Name", "Revenue" FROM "Manufacturers" ORDER BY "Revenue" DESC | 0.067383 |
CREATE TABLE table_name_94 (races_ridden VARCHAR2, nationality VARCHAR2, races_won VARCHAR2)
| How many races did the German racer that won less than 10 races ride? | SELECT COUNT(races_ridden) FROM table_name_94 WHERE nationality = "german" AND races_won < 10 | SELECT COUNT("races_ridden") FROM "table_name_94" WHERE "german" = "nationality" AND "races_won" < 10 | 0.098633 |
CREATE TABLE table_38157 ("City" CLOB, "Country" CLOB, "IATA" CLOB, "ICAO" CLOB, "Airport" CLOB)
| What shows for IATA for the City of sapporo? | SELECT "IATA" FROM table_38157 WHERE "City" = 'sapporo' | SELECT "IATA" FROM "table_38157" WHERE "City" = 'sapporo' | 0.055664 |
CREATE TABLE table_5910 ("Week" FLOAT, "Kickoff" CLOB, "Date" CLOB, "Opponent" CLOB, "Result" CLOB, "Record" CLOB, "Game Site" CLOB, "NFL.com Recap" CLOB)
| What's the site of the recap at qualcomm stadium? | SELECT "NFL.com Recap" FROM table_5910 WHERE "Game Site" = 'qualcomm stadium' | SELECT "NFL.com Recap" FROM "table_5910" WHERE "Game Site" = 'qualcomm stadium' | 0.077148 |
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
| how many patients whose gender is f and drug name is d10w? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.gender = "F" AND prescriptions.drug = "D10W" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "prescriptions" ON "D10W" = "prescriptions"."drug" AND "demographic"."hadm_id" = "prescriptions"."hadm_id" WHERE "F" = "demographic"."gender" | 0.209961 |
CREATE TABLE table_name_87 (Id VARCHAR2)
| What 1984 has a 1978 of 46 15? | SELECT 1984 FROM table_name_87 WHERE 1978 = "46–15" | SELECT 1984 FROM "table_name_87" WHERE "46–15" = 1978 | 0.051758 |
CREATE TABLE table_name_96 (notes VARCHAR2, year VARCHAR2)
| What is Notes, when Year is '2010'? | SELECT notes FROM table_name_96 WHERE year = 2010 | SELECT "notes" FROM "table_name_96" WHERE "year" = 2010 | 0.053711 |
CREATE TABLE table_42353 ("Rank" FLOAT, "Name" CLOB, "Team" CLOB, "Games" FLOAT, "Assists" FLOAT)
| What is the smallest rank when there are more than 2 games? | SELECT MIN("Rank") FROM table_42353 WHERE "Games" > '2' | SELECT MIN("Rank") FROM "table_42353" WHERE "Games" > '2' | 0.055664 |
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