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CREATE TABLE injury_accident (game_id NUMBER, id NUMBER, Player CLOB, Injury CLOB, Number_of_matches CLOB, Source CLOB)
CREATE TABLE game (stadium_id NUMBER, id NUMBER, Season NUMBER, Date CLOB, Home_team CLOB, Away_team CLOB, Score CLOB, Competition CLOB)
CREATE TABLE stadium (id NUMBER, name CLOB, Home_Games NUMBER, Average_Attendance FLOAT, Total_Attendance FLOAT, Capacity_Percentage FLOAT)
| Stacked bar chart of how many away team for with each Home_team in each away team, and sort from low to high by the bars. | SELECT Away_team, COUNT(Away_team) FROM game GROUP BY Home_team, Away_team ORDER BY Away_team | SELECT "Away_team", COUNT("Away_team") FROM "game" GROUP BY "Home_team", "Away_team" ORDER BY "Away_team" | 0.102539 |
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 diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
| find the number of patients less than 48 years who have abnormal lab test status. | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.age < "48" AND lab.flag = "abnormal" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "lab" ON "abnormal" = "lab"."flag" AND "demographic"."hadm_id" = "lab"."hadm_id" WHERE "48" > "demographic"."age" | 0.182617 |
CREATE TABLE Ref_Budget_Codes (Budget_Type_Code CHAR, Budget_Type_Description VARCHAR2)
CREATE TABLE Accounts (Account_ID NUMBER, Statement_ID NUMBER, Account_Details VARCHAR2)
CREATE TABLE Projects (Project_ID NUMBER, Project_Details VARCHAR2)
CREATE TABLE Documents (Document_ID NUMBER, Document_Type_Code CHAR, Project_ID NUMBER, Document_Date DATETIME, Document_Name VARCHAR2, Document_Description VARCHAR2, Other_Details VARCHAR2)
CREATE TABLE Documents_with_Expenses (Document_ID NUMBER, Budget_Type_Code CHAR, Document_Details VARCHAR2)
CREATE TABLE Ref_Document_Types (Document_Type_Code CHAR, Document_Type_Name VARCHAR2, Document_Type_Description VARCHAR2)
CREATE TABLE Statements (Statement_ID NUMBER, Statement_Details VARCHAR2)
| List document type codes and the number of documents in each code Visualize by bar chart, and sort X-axis from high to low order. | SELECT Document_Type_Code, COUNT(*) FROM Documents GROUP BY Document_Type_Code ORDER BY Document_Type_Code DESC | SELECT "Document_Type_Code", COUNT(*) FROM "Documents" GROUP BY "Document_Type_Code" ORDER BY "Document_Type_Code" DESC | 0.116211 |
CREATE TABLE table_name_81 (long NUMBER, name VARCHAR2, avg_g VARCHAR2)
| What is the lowest Long, when Name is Kass, Rob, and when Avg/g is less than -0.30000000000000004? | SELECT MIN(long) FROM table_name_81 WHERE name = "kass, rob" AND avg_g < -0.30000000000000004 | SELECT MIN("long") FROM "table_name_81" WHERE "avg_g" < -0.30000000000000004 AND "kass, rob" = "name" | 0.098633 |
CREATE TABLE students (student_id NUMBER, student_details CLOB)
CREATE TABLE people_addresses (person_address_id NUMBER, person_id NUMBER, address_id NUMBER, date_from TIME, date_to TIME)
CREATE TABLE people (person_id NUMBER, first_name CLOB, middle_name CLOB, last_name CLOB, cell_mobile_number CLOB, email_address CLOB, login_name CLOB, password CLOB)
CREATE TABLE courses (course_id CLOB, course_name CLOB, course_description CLOB, other_details CLOB)
CREATE TABLE student_course_attendance (student_id NUMBER, course_id NUMBER, date_of_attendance TIME)
CREATE TABLE addresses (address_id NUMBER, line_1 CLOB, line_2 CLOB, city CLOB, zip_postcode CLOB, state_province_county CLOB, country CLOB)
CREATE TABLE candidate_assessments (candidate_id NUMBER, qualification CLOB, assessment_date TIME, asessment_outcome_code CLOB)
CREATE TABLE candidates (candidate_id NUMBER, candidate_details CLOB)
CREATE TABLE student_course_registrations (student_id NUMBER, course_id NUMBER, registration_date TIME)
| which course has most number of registered students? | SELECT T1.course_name FROM courses AS T1 JOIN student_course_registrations AS T2 ON T1.course_id = T2.course_id GROUP BY T1.course_id ORDER BY COUNT(*) DESC LIMIT 1 | SELECT "T1"."course_name" FROM "courses" "T1" JOIN "student_course_registrations" "T2" ON "T1"."course_id" = "T2"."course_id" GROUP BY "T1"."course_id" ORDER BY COUNT(*) DESC FETCH FIRST 1 ROWS ONLY | 0.193359 |
CREATE TABLE table_name_82 (date VARCHAR2, home VARCHAR2, score VARCHAR2)
| When has winnipeg jets with a Score of 4 6? | SELECT date FROM table_name_82 WHERE home = "winnipeg jets" AND score = "4–6" | SELECT "date" FROM "table_name_82" WHERE "4–6" = "score" AND "home" = "winnipeg jets" | 0.083008 |
CREATE TABLE table_name_81 (attendance NUMBER, week VARCHAR2, opponent VARCHAR2)
| what is the average attendance when the week is higher than 5 and the opponent is washington redskins? | SELECT AVG(attendance) FROM table_name_81 WHERE week > 5 AND opponent = "washington redskins" | SELECT AVG("attendance") FROM "table_name_81" WHERE "opponent" = "washington redskins" AND "week" > 5 | 0.098633 |
CREATE TABLE table_65027 ("Rank" FLOAT, "Athletes" CLOB, "Country" CLOB, "Time" CLOB, "Notes" CLOB)
| What is the name of the athlete from Myanmar? | SELECT "Athletes" FROM table_65027 WHERE "Country" = 'myanmar' | SELECT "Athletes" FROM "table_65027" WHERE "Country" = 'myanmar' | 0.0625 |
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
| How many patients who had docu100l were hospitalized for more than 3 days? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.days_stay > "3" AND prescriptions.formulary_drug_cd = "DOCU100L" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "prescriptions" ON "DOCU100L" = "prescriptions"."formulary_drug_cd" AND "demographic"."hadm_id" = "prescriptions"."hadm_id" WHERE "3" < "demographic"."days_stay" | 0.229492 |
CREATE TABLE table_75981 ("Position" CLOB, "Jersey #" FLOAT, "Name" CLOB, "Height ( cm ) " FLOAT, "Weight ( kg ) " FLOAT, "Birthdate" CLOB, "Birthplace" CLOB, "2007\\u20132008 Team" CLOB, "NHL rights , if any" CLOB)
| Which Weight (kg) has a NHL rights, if any of phoenix coyotes? | SELECT COUNT("Weight (kg)") FROM table_75981 WHERE "NHL rights, if any" = 'phoenix coyotes' | SELECT COUNT("Weight (kg)") FROM "table_75981" WHERE "NHL rights, if any" = 'phoenix coyotes' | 0.09082 |
CREATE TABLE table_9476 ("Season" CLOB, "Skip" CLOB, "Third" CLOB, "Second" CLOB, "Lead" CLOB)
| What is the skip when Tony Angiboust was a lead? | SELECT "Skip" FROM table_9476 WHERE "Lead" = 'tony angiboust' | SELECT "Skip" FROM "table_9476" WHERE "Lead" = 'tony angiboust' | 0.061523 |
CREATE TABLE table_21318 ("Game" FLOAT, "Date" CLOB, "Opponent" CLOB, "Score" CLOB, "High points" CLOB, "High rebounds" CLOB, "High assists" CLOB, "Location/Attendance" CLOB, "Record" CLOB)
| What are the scores for games played on september 9? | SELECT "Score" FROM table_21318 WHERE "Date" = 'September 9' | SELECT "Score" FROM "table_21318" WHERE "Date" = 'September 9' | 0.060547 |
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
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)
| give me the number of patients whose drug name is caspofungin? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE prescriptions.drug = "Caspofungin" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "prescriptions" ON "Caspofungin" = "prescriptions"."drug" AND "demographic"."hadm_id" = "prescriptions"."hadm_id" | 0.182617 |
CREATE TABLE table_52337 ("Week" CLOB, "Performer ( s ) " CLOB, "Hot 100 Reaction" CLOB, "Hot Digital Songs Reaction" CLOB, "Notes" CLOB)
| Which week has hot 100 reaction as did not debut for Natalie Cole? | SELECT "Week" FROM table_52337 WHERE "Hot 100 Reaction" = 'did not debut' AND "Performer(s)" = 'natalie cole' | SELECT "Week" FROM "table_52337" WHERE "Hot 100 Reaction" = 'did not debut' AND "Performer(s)" = 'natalie cole' | 0.108398 |
CREATE TABLE table_name_4 (frequency VARCHAR2, order_part_number VARCHAR2)
| what is the frequency of part number tmn550dcr23gm? | SELECT frequency FROM table_name_4 WHERE order_part_number = "tmn550dcr23gm" | SELECT "frequency" FROM "table_name_4" WHERE "order_part_number" = "tmn550dcr23gm" | 0.080078 |
CREATE TABLE music_festival (ID NUMBER, Music_Festival CLOB, Date_of_ceremony CLOB, Category CLOB, Volume NUMBER, Result CLOB)
CREATE TABLE volume (Volume_ID NUMBER, Volume_Issue CLOB, Issue_Date CLOB, Weeks_on_Top FLOAT, Song CLOB, Artist_ID NUMBER)
CREATE TABLE artist (Artist_ID NUMBER, Artist CLOB, Age NUMBER, Famous_Title CLOB, Famous_Release_date CLOB)
| A pie chart for what are the number of the category of music festivals with result 'Awarded'? | SELECT Category, COUNT(Category) FROM music_festival WHERE Result = "Awarded" GROUP BY Category | SELECT "Category", COUNT("Category") FROM "music_festival" WHERE "Awarded" = "Result" GROUP BY "Category" | 0.102539 |
CREATE TABLE table_50946 ("Rider" CLOB, "Manufacturer" CLOB, "Laps" FLOAT, "Time" CLOB, "Grid" FLOAT)
| What is the highest number of Laps that have a Time of +18.366, and a Grid lower than 13? | SELECT MAX("Laps") FROM table_50946 WHERE "Grid" < '13' AND "Time" = '+18.366' | SELECT MAX("Laps") FROM "table_50946" WHERE "Grid" < '13' AND "Time" = '+18.366' | 0.078125 |
CREATE TABLE table_35542 ("Round" FLOAT, "Pick #" FLOAT, "Overall" FLOAT, "Name" CLOB, "Position" CLOB, "College" CLOB)
| What is the lowest overall for a quarterback with fewer than 7 rounds? | SELECT MIN("Overall") FROM table_35542 WHERE "Position" = 'quarterback' AND "Round" < '7' | SELECT MIN("Overall") FROM "table_35542" WHERE "Position" = 'quarterback' AND "Round" < '7' | 0.088867 |
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
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)
| Among patients diagnosed with closed fracture of base of skull with subarachnoid, subdural, and extradural hemorrhage, and loss of consciousness of unspecified duration, calculate the number of those who belonged to hispanic or latino - puertorican ethnic origin? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.ethnicity = "HISPANIC/LATINO - PUERTO RICAN" AND diagnoses.long_title = "Closed fracture of base of skull with subarachnoid, subdural, and extradural hemorrhage, with loss of consciousness of unspecified duration" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "Closed fracture of base of skull with subarachnoid, subdural, and extradural hemorrhage, with loss of consciousness of unspecified duration" = "diagnoses"."long_title" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" WHERE "HISPANIC/LATINO - PUERTO RICAN" = "demographic"."ethnicity" | 0.367188 |
CREATE TABLE table_name_85 (round VARCHAR2, venue VARCHAR2)
| What was the round for Villa Park? | SELECT round FROM table_name_85 WHERE venue = "villa park" | SELECT "round" FROM "table_name_85" WHERE "venue" = "villa park" | 0.0625 |
CREATE TABLE table_5227 ("Date" CLOB, "Opponent" CLOB, "Score" CLOB, "Loss" CLOB, "Attendance" FLOAT, "Record" CLOB)
| When was the game with a record of 54-69? | SELECT "Date" FROM table_5227 WHERE "Record" = '54-69' | SELECT "Date" FROM "table_5227" WHERE "Record" = '54-69' | 0.054688 |
CREATE TABLE ref_budget_codes (budget_type_code CLOB, budget_type_description CLOB)
CREATE TABLE statements (statement_id NUMBER, statement_details CLOB)
CREATE TABLE accounts (account_id NUMBER, statement_id NUMBER, account_details CLOB)
CREATE TABLE documents_with_expenses (document_id NUMBER, budget_type_code CLOB, document_details CLOB)
CREATE TABLE documents (document_id NUMBER, document_type_code CLOB, project_id NUMBER, document_date TIME, document_name CLOB, document_description CLOB, other_details CLOB)
CREATE TABLE ref_document_types (document_type_code CLOB, document_type_name CLOB, document_type_description CLOB)
CREATE TABLE projects (project_id NUMBER, project_details CLOB)
| Show the ids and names of all documents. | SELECT document_id, document_name FROM documents | SELECT "document_id", "document_name" FROM "documents" | 0.052734 |
CREATE TABLE table_train_32 ("id" NUMBER, "pregnancy_or_lactation" BOOLEAN, "renal_disease" BOOLEAN, "hemachromatosis" BOOLEAN, "glucose_6_phosphate_dehydrogenase_deficiency_g6pd" NUMBER, "prisoners" BOOLEAN, "NOUSE" FLOAT)
| known hemachromatosis | SELECT * FROM table_train_32 WHERE hemachromatosis = 1 | SELECT * FROM "table_train_32" WHERE "hemachromatosis" = 1 | 0.056641 |
CREATE TABLE table_name_76 (engine VARCHAR2, year VARCHAR2)
| What engine was used in 1999? | SELECT engine FROM table_name_76 WHERE year = "1999" | SELECT "engine" FROM "table_name_76" WHERE "1999" = "year" | 0.056641 |
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 gsi (course_offering_id NUMBER, student_id NUMBER)
CREATE TABLE semester (semester_id NUMBER, semester VARCHAR2, year NUMBER)
CREATE TABLE course_prerequisite (pre_course_id NUMBER, course_id NUMBER)
CREATE TABLE ta (campus_job_id NUMBER, student_id NUMBER, location VARCHAR2)
CREATE TABLE instructor (instructor_id NUMBER, name VARCHAR2, uniqname VARCHAR2)
CREATE TABLE offering_instructor (offering_instructor_id NUMBER, offering_id NUMBER, instructor_id NUMBER)
CREATE TABLE program_requirement (program_id NUMBER, category VARCHAR2, min_credit NUMBER, additional_req 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 jobs (job_id NUMBER, job_title VARCHAR2, description VARCHAR2, requirement VARCHAR2, city VARCHAR2, state VARCHAR2, country VARCHAR2, zip NUMBER)
CREATE TABLE program (program_id NUMBER, name VARCHAR2, college VARCHAR2, introduction VARCHAR2)
CREATE TABLE student_record (student_id NUMBER, course_id NUMBER, semester NUMBER, grade VARCHAR2, how VARCHAR2, transfer_source VARCHAR2, earn_credit VARCHAR2, repeat_term VARCHAR2, test_id VARCHAR2)
CREATE TABLE program_course (program_id NUMBER, course_id NUMBER, workload NUMBER, category 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 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 area (course_id NUMBER, area VARCHAR2)
| Show me the next 6 semesters of classes . | SELECT DISTINCT course.name, course.number, semester.semester, semester.year FROM course, course_offering, semester WHERE ((semester.semester = 'FA' AND semester.year = 2016) OR (semester.semester = 'FA' AND semester.year = 2017) OR (semester.semester = 'FA' AND semester.year = 2018) OR (semester.semester = 'WN' AND semester.year = 2017) OR (semester.semester = 'WN' AND semester.year = 2018) OR (semester.semester = 'WN' AND semester.year = 2019)) AND course.course_id = course_offering.course_id AND course.department = 'EECS' AND semester.semester_id = course_offering.semester ORDER BY semester.year, semester.semester | SELECT DISTINCT "course"."name", "course"."number", "semester"."semester", "semester"."year" FROM "course" JOIN "course_offering" ON "course"."course_id" = "course_offering"."course_id" JOIN "semester" ON "course_offering"."semester" = "semester"."semester_id" AND (("semester"."semester" = 'FA' AND "semester"."year" = 2016) OR ("semester"."semester" = 'FA' AND "semester"."year" = 2017) OR ("semester"."semester" = 'FA' AND "semester"."year" = 2018) OR ("semester"."semester" = 'WN' AND "semester"."year" = 2017) OR ("semester"."semester" = 'WN' AND "semester"."year" = 2018) OR ("semester"."semester" = 'WN' AND "semester"."year" = 2019)) WHERE "course"."department" = 'EECS' ORDER BY "semester"."year", "semester"."semester" | 0.710938 |
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE 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)
| among patients on urgent admission, how many of them had a lab test for amylase and body fluid? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.admission_type = "URGENT" AND lab.label = "Amylase, Body Fluid" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "lab" ON "Amylase, Body Fluid" = "lab"."label" AND "demographic"."hadm_id" = "lab"."hadm_id" WHERE "URGENT" = "demographic"."admission_type" | 0.208984 |
CREATE TABLE table_name_95 (total NUMBER, rank VARCHAR2, bronze VARCHAR2)
| What is the sum of Total, when Rank is 8, and when Bronze is less than 1? | SELECT SUM(total) FROM table_name_95 WHERE rank = "8" AND bronze < 1 | SELECT SUM("total") FROM "table_name_95" WHERE "8" = "rank" AND "bronze" < 1 | 0.074219 |
CREATE TABLE equipment_sequence (aircraft_code_sequence VARCHAR2, aircraft_code VARCHAR2)
CREATE TABLE time_zone (time_zone_code CLOB, time_zone_name CLOB, hours_from_gmt NUMBER)
CREATE TABLE city (city_code VARCHAR2, city_name VARCHAR2, state_code VARCHAR2, country_name VARCHAR2, time_zone_code VARCHAR2)
CREATE TABLE compartment_class (compartment VARCHAR2, class_type VARCHAR2)
CREATE TABLE dual_carrier (main_airline VARCHAR2, low_flight_number NUMBER, high_flight_number NUMBER, dual_airline VARCHAR2, service_name CLOB)
CREATE TABLE fare (fare_id NUMBER, from_airport VARCHAR2, to_airport VARCHAR2, fare_basis_code CLOB, fare_airline CLOB, restriction_code CLOB, one_direction_cost NUMBER, round_trip_cost NUMBER, round_trip_required VARCHAR2)
CREATE TABLE date_day (month_number NUMBER, day_number NUMBER, year NUMBER, day_name VARCHAR2)
CREATE TABLE code_description (code VARCHAR2, description CLOB)
CREATE TABLE class_of_service (booking_class VARCHAR2, rank NUMBER, class_description CLOB)
CREATE TABLE airport (airport_code VARCHAR2, airport_name CLOB, airport_location CLOB, state_code VARCHAR2, country_name VARCHAR2, time_zone_code VARCHAR2, minimum_connect_time NUMBER)
CREATE TABLE flight_fare (flight_id NUMBER, fare_id NUMBER)
CREATE TABLE fare_basis (fare_basis_code CLOB, booking_class CLOB, class_type CLOB, premium CLOB, economy CLOB, discounted CLOB, night CLOB, season CLOB, basis_days CLOB)
CREATE TABLE time_interval (period CLOB, begin_time NUMBER, end_time NUMBER)
CREATE TABLE restriction (restriction_code CLOB, advance_purchase NUMBER, stopovers CLOB, saturday_stay_required CLOB, minimum_stay NUMBER, maximum_stay NUMBER, application CLOB, no_discounts CLOB)
CREATE TABLE ground_service (city_code CLOB, airport_code CLOB, transport_type CLOB, ground_fare NUMBER)
CREATE TABLE airport_service (city_code VARCHAR2, airport_code VARCHAR2, miles_distant NUMBER, direction VARCHAR2, minutes_distant NUMBER)
CREATE TABLE flight_leg (flight_id NUMBER, leg_number NUMBER, leg_flight NUMBER)
CREATE TABLE days (days_code VARCHAR2, day_name VARCHAR2)
CREATE TABLE food_service (meal_code CLOB, meal_number NUMBER, compartment CLOB, meal_description VARCHAR2)
CREATE TABLE airline (airline_code VARCHAR2, airline_name CLOB, note CLOB)
CREATE TABLE flight_stop (flight_id NUMBER, stop_number NUMBER, stop_days CLOB, stop_airport CLOB, arrival_time NUMBER, arrival_airline CLOB, arrival_flight_number NUMBER, departure_time NUMBER, departure_airline CLOB, departure_flight_number NUMBER, stop_time NUMBER)
CREATE TABLE month (month_number NUMBER, month_name CLOB)
CREATE TABLE aircraft (aircraft_code VARCHAR2, aircraft_description VARCHAR2, manufacturer VARCHAR2, basic_type VARCHAR2, engines NUMBER, propulsion VARCHAR2, wide_body VARCHAR2, wing_span NUMBER, length NUMBER, weight NUMBER, capacity NUMBER, pay_load NUMBER, cruising_speed NUMBER, range_miles NUMBER, pressurized VARCHAR2)
CREATE TABLE flight (aircraft_code_sequence CLOB, airline_code VARCHAR2, airline_flight CLOB, arrival_time NUMBER, connections NUMBER, departure_time NUMBER, dual_carrier CLOB, flight_days CLOB, flight_id NUMBER, flight_number NUMBER, from_airport VARCHAR2, meal_code CLOB, stops NUMBER, time_elapsed NUMBER, to_airport VARCHAR2)
CREATE TABLE state (state_code CLOB, state_name CLOB, country_name CLOB)
| i'd like to book a flight from SAN DIEGO to TORONTO | SELECT DISTINCT flight.flight_id FROM airport_service AS AIRPORT_SERVICE_0, airport_service AS AIRPORT_SERVICE_1, city AS CITY_0, city AS CITY_1, flight WHERE CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'SAN DIEGO' AND CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'TORONTO' AND flight.from_airport = AIRPORT_SERVICE_0.airport_code AND flight.to_airport = AIRPORT_SERVICE_1.airport_code | SELECT DISTINCT "flight"."flight_id" FROM "airport_service" "AIRPORT_SERVICE_0" JOIN "city" "CITY_0" ON "AIRPORT_SERVICE_0"."city_code" = "CITY_0"."city_code" AND "CITY_0"."city_name" = 'SAN DIEGO' JOIN "flight" ON "AIRPORT_SERVICE_0"."airport_code" = "flight"."from_airport" JOIN "airport_service" "AIRPORT_SERVICE_1" ON "AIRPORT_SERVICE_1"."airport_code" = "flight"."to_airport" JOIN "city" "CITY_1" ON "AIRPORT_SERVICE_1"."city_code" = "CITY_1"."city_code" AND "CITY_1"."city_name" = 'TORONTO' | 0.484375 |
CREATE TABLE table_12157 ("Draft" FLOAT, "Round" CLOB, "Pick" FLOAT, "Player" CLOB, "Nationality" CLOB)
| What is Pick, when Round is '6', when Nationality is 'Canada', when Draft is greater than 1983, and when Player is 'Ed Ward Category:Articles with hCards'? | SELECT "Pick" FROM table_12157 WHERE "Round" = '6' AND "Nationality" = 'canada' AND "Draft" > '1983' AND "Player" = 'ed ward category:articles with hcards' | SELECT "Pick" FROM "table_12157" WHERE "Draft" > '1983' AND "Nationality" = 'canada' AND "Player" = 'ed ward category:articles with hcards' AND "Round" = '6' | 0.15332 |
CREATE TABLE table_55137 ("Year" FLOAT, "Award" CLOB, "Category" CLOB, "Nominated work" CLOB, "Result" CLOB)
| Which category was the berlin file up to win in 2013? | SELECT "Category" FROM table_55137 WHERE "Year" = '2013' AND "Nominated work" = 'the berlin file' | SELECT "Category" FROM "table_55137" WHERE "Nominated work" = 'the berlin file' AND "Year" = '2013' | 0.09668 |
CREATE TABLE table_27547668_2 (original_airdate VARCHAR2, viewers VARCHAR2)
| What is the original air date of the episode with 908000 viewers? | SELECT original_airdate FROM table_27547668_2 WHERE viewers = 908000 | SELECT "original_airdate" FROM "table_27547668_2" WHERE "viewers" = 908000 | 0.072266 |
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)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
| what is the number of patients whose marital status is divorced and procedure short title is other bronchoscopy? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.marital_status = "DIVORCED" AND procedures.short_title = "Other bronchoscopy" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "procedures" ON "Other bronchoscopy" = "procedures"."short_title" AND "demographic"."hadm_id" = "procedures"."hadm_id" WHERE "DIVORCED" = "demographic"."marital_status" | 0.236328 |
CREATE TABLE table_48753 ("Rank" FLOAT, "Team" CLOB, "Played" FLOAT, "Wins" FLOAT, "Ties" FLOAT, "Losses" FLOAT, "Points" FLOAT)
| What is the average Ties, when Played is greater than 5? | SELECT AVG("Ties") FROM table_48753 WHERE "Played" > '5' | SELECT AVG("Ties") FROM "table_48753" WHERE "Played" > '5' | 0.056641 |
CREATE TABLE table_26357 ("Team" CLOB, "Location" CLOB, "Home Ground" CLOB, "First year in Qld Cup" FLOAT, "Last year in Qld Cup" FLOAT, "Qld Cup Premierships" CLOB)
| What is the QLD Cup Premierships if team is Gold Coast Vikings? | SELECT "Qld Cup Premierships" FROM table_26357 WHERE "Team" = 'Gold Coast Vikings' | SELECT "Qld Cup Premierships" FROM "table_26357" WHERE "Team" = 'Gold Coast Vikings' | 0.082031 |
CREATE TABLE table_70911 ("Player" CLOB, "Height" FLOAT, "Position" CLOB, "Year born" FLOAT, "Current Club" CLOB)
| What is the Height that has a year born before 1977 | SELECT COUNT("Height") FROM table_70911 WHERE "Year born" < '1977' | SELECT COUNT("Height") FROM "table_70911" WHERE "Year born" < '1977' | 0.066406 |
CREATE TABLE Faculty (Id VARCHAR2)
| How many faculty do we have? | SELECT COUNT(*) FROM Faculty | SELECT COUNT(*) FROM "Faculty" | 0.029297 |
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 allergy (allergyid NUMBER, patientunitstayid NUMBER, drugname CLOB, allergyname CLOB, allergytime TIME)
CREATE TABLE diagnosis (diagnosisid NUMBER, patientunitstayid NUMBER, diagnosisname CLOB, diagnosistime TIME, icd9code CLOB)
CREATE TABLE microlab (microlabid NUMBER, patientunitstayid NUMBER, culturesite CLOB, organism CLOB, culturetakentime TIME)
CREATE TABLE cost (costid NUMBER, uniquepid CLOB, patienthealthsystemstayid NUMBER, eventtype CLOB, eventid NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE intakeoutput (intakeoutputid NUMBER, patientunitstayid NUMBER, cellpath CLOB, celllabel CLOB, cellvaluenumeric NUMBER, intakeoutputtime TIME)
CREATE TABLE 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 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)
CREATE TABLE lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime TIME)
| what is the yearly average intake of enteral tube intake: orogastric oral that patient 015-94542 is getting until 1967 days ago? | SELECT AVG(intakeoutput.cellvaluenumeric) FROM intakeoutput WHERE intakeoutput.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '015-94542')) AND intakeoutput.celllabel = 'enteral tube intake: orogastric oral' AND intakeoutput.cellpath LIKE '%intake%' AND DATETIME(intakeoutput.intakeoutputtime) <= DATETIME(CURRENT_TIME(), '-1967 day') GROUP BY STRFTIME('%y', intakeoutput.intakeoutputtime) | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '015-94542' 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 AVG("intakeoutput"."cellvaluenumeric") FROM "intakeoutput" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "intakeoutput"."patientunitstayid" WHERE "intakeoutput"."celllabel" = 'enteral tube intake: orogastric oral' AND "intakeoutput"."cellpath" LIKE '%intake%' AND DATETIME("intakeoutput"."intakeoutputtime") <= DATETIME(CURRENT_TIME(), '-1967 day') AND NOT "_u_1"."" IS NULL GROUP BY STRFTIME('%y', "intakeoutput"."intakeoutputtime") | 0.769531 |
CREATE TABLE table_3413 ("Nations" CLOB, "Competition" CLOB, "Teams" FLOAT, "Established" FLOAT, "Latest Year" CLOB, "Winner" CLOB, "Runner-Up" CLOB, "Tier/Division" CLOB)
| What was the number of teams in the competition that wynnum manly seagulls won? | SELECT MIN("Teams") FROM table_3413 WHERE "Winner" = 'Wynnum Manly Seagulls' | SELECT MIN("Teams") FROM "table_3413" WHERE "Winner" = 'Wynnum Manly Seagulls' | 0.076172 |
CREATE TABLE table_204_542 (id NUMBER, "season" CLOB, "competition" CLOB, "round" CLOB, "club" CLOB, "home" CLOB, "away" CLOB, "aggregate" CLOB)
| how many countries participated ? | SELECT COUNT("club") FROM table_204_542 | SELECT COUNT("club") FROM "table_204_542" | 0.040039 |
CREATE TABLE candidate (Candidate_ID NUMBER, People_ID NUMBER, Poll_Source CLOB, Date CLOB, Support_rate FLOAT, Consider_rate FLOAT, Oppose_rate FLOAT, Unsure_rate FLOAT)
CREATE TABLE people (People_ID NUMBER, Sex CLOB, Name CLOB, Date_of_Birth CLOB, Height FLOAT, Weight FLOAT)
| A bar chart showing the average weight for each gender, I want to show from low to high by the y axis. | SELECT Sex, AVG(Weight) FROM people GROUP BY Sex ORDER BY AVG(Weight) | SELECT "Sex", AVG("Weight") FROM "people" GROUP BY "Sex" ORDER BY AVG("Weight") | 0.077148 |
CREATE TABLE table_73748 ("Character" CLOB, "English version" CLOB, "Laserdisc edition" CLOB, "Buena Vista edition" CLOB, "Special edition" CLOB)
| what is the special edition for the english version of james baskett? | SELECT "Special edition" FROM table_73748 WHERE "English version" = 'James Baskett' | SELECT "Special edition" FROM "table_73748" WHERE "English version" = 'James Baskett' | 0.083008 |
CREATE TABLE PostTags (PostId NUMBER, TagId NUMBER)
CREATE TABLE PostTypes (Id NUMBER, Name CLOB)
CREATE TABLE Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
CREATE TABLE PendingFlags (Id NUMBER, FlagTypeId NUMBER, PostId NUMBER, CreationDate TIME, CloseReasonTypeId NUMBER, CloseAsOffTopicReasonTypeId NUMBER, DuplicateOfQuestionId NUMBER, BelongsOnBaseHostAddress CLOB)
CREATE TABLE ReviewTaskTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE ReviewTaskResultTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId NUMBER)
CREATE TABLE ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId NUMBER)
CREATE TABLE PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId NUMBER)
CREATE TABLE VoteTypes (Id NUMBER, Name CLOB)
CREATE TABLE PostsWithDeleted (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE CloseAsOffTopicReasonTypes (Id NUMBER, IsUniversal BOOLEAN, InputTitle CLOB, MarkdownInputGuidance CLOB, MarkdownPostOwnerGuidance CLOB, MarkdownPrivilegedUserGuidance CLOB, MarkdownConcensusDescription CLOB, CreationDate TIME, CreationModeratorId NUMBER, ApprovalDate TIME, ApprovalModeratorId NUMBER, DeactivationDate TIME, DeactivationModeratorId NUMBER)
CREATE TABLE CloseReasonTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Users (Id NUMBER, Reputation NUMBER, CreationDate TIME, DisplayName CLOB, LastAccessDate TIME, WebsiteUrl CLOB, Location CLOB, AboutMe CLOB, Views NUMBER, UpVotes NUMBER, DownVotes NUMBER, ProfileImageUrl CLOB, EmailHash CLOB, AccountId NUMBER)
CREATE TABLE Comments (Id NUMBER, PostId NUMBER, Score NUMBER, Text CLOB, CreationDate TIME, UserDisplayName CLOB, UserId NUMBER, ContentLicense CLOB)
CREATE TABLE ReviewTaskStates (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostHistory (Id NUMBER, PostHistoryTypeId NUMBER, PostId NUMBER, RevisionGUID other, CreationDate TIME, UserId NUMBER, UserDisplayName CLOB, Comment CLOB, Text CLOB, ContentLicense CLOB)
CREATE TABLE ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
CREATE TABLE ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment CLOB)
CREATE TABLE PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
CREATE TABLE PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
CREATE TABLE Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount NUMBER)
CREATE TABLE SuggestedEdits (Id NUMBER, PostId NUMBER, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId NUMBER, Comment CLOB, Text CLOB, Title CLOB, Tags CLOB, RevisionGUID other)
CREATE TABLE TagSynonyms (Id NUMBER, SourceTagName CLOB, TargetTagName CLOB, CreationDate TIME, OwnerUserId NUMBER, AutoRenameCount NUMBER, LastAutoRename TIME, Score NUMBER, ApprovedByUserId NUMBER, ApprovalDate TIME)
CREATE TABLE SuggestedEditVotes (Id NUMBER, SuggestedEditId NUMBER, UserId NUMBER, VoteTypeId NUMBER, CreationDate TIME, TargetUserId NUMBER, TargetRepChange NUMBER)
CREATE TABLE FlagTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Posts (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE PostHistoryTypes (Id NUMBER, Name CLOB)
CREATE TABLE Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
| Tags with the highest percentage of closed questions. | SELECT tag.TagName AS "tag_name", tag.Count AS "deletion_percentage", p.Id AS "post_link" FROM Tags AS tag INNER JOIN Posts AS p ON p.Tags LIKE CONCAT(CONCAT('%<', tag.TagName COLLATE SQL_Latin1_General_CP1_CI_AS), '>%') AND NOT p.ClosedDate IS NULL GROUP BY p.Id, tag.TagName, tag.Count ORDER BY tag.Count DESC LIMIT 10 | SELECT "tag"."TagName" AS "tag_name", "tag"."Count" AS "deletion_percentage", "p"."Id" AS "post_link" FROM "Tags" "tag" JOIN "Posts" "p" ON "p"."Tags" LIKE CONCAT(CONCAT('%<', "tag"."TagName" COLLATE "SQL_Latin1_General_CP1_CI_AS"), '>%') AND NOT "p"."ClosedDate" IS NULL GROUP BY "p"."Id", "tag"."TagName", "tag"."Count" ORDER BY "tag"."Count" DESC FETCH FIRST 10 ROWS ONLY | 0.365234 |
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 vitalperiodic (vitalperiodicid NUMBER, patientunitstayid NUMBER, temperature NUMBER, sao2 NUMBER, heartrate NUMBER, respiration NUMBER, systemicsystolic NUMBER, systemicdiastolic NUMBER, systemicmean NUMBER, observationtime TIME)
CREATE TABLE diagnosis (diagnosisid NUMBER, patientunitstayid NUMBER, diagnosisname CLOB, diagnosistime TIME, icd9code CLOB)
CREATE TABLE treatment (treatmentid NUMBER, patientunitstayid NUMBER, treatmentname CLOB, treatmenttime TIME)
CREATE TABLE medication (medicationid NUMBER, patientunitstayid NUMBER, drugname CLOB, dosage CLOB, routeadmin CLOB, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE allergy (allergyid NUMBER, patientunitstayid NUMBER, drugname CLOB, allergyname CLOB, allergytime TIME)
CREATE TABLE lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime TIME)
CREATE TABLE intakeoutput (intakeoutputid NUMBER, patientunitstayid NUMBER, cellpath CLOB, celllabel CLOB, cellvaluenumeric NUMBER, intakeoutputtime TIME)
CREATE TABLE 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)
| what was the percentile of 7.49 in the ph lab test with the same age of patient 035-1391 in the last hospital encounter? | SELECT DISTINCT t1.c1 FROM (SELECT lab.labresult, PERCENT_RANK() OVER (ORDER BY lab.labresult) AS c1 FROM lab WHERE lab.labname = 'ph' AND lab.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.age = (SELECT patient.age FROM patient WHERE patient.uniquepid = '035-1391' AND NOT patient.hospitaldischargetime IS NULL ORDER BY patient.hospitaladmittime DESC LIMIT 1))) AS t1 WHERE t1.labresult = 7.49 | WITH "_u_0" AS (SELECT "patient"."age" FROM "patient" WHERE "patient"."uniquepid" = '035-1391' AND NOT "patient"."hospitaldischargetime" IS NULL ORDER BY "patient"."hospitaladmittime" DESC FETCH FIRST 1 ROWS ONLY), "_u_1" AS (SELECT "patient"."patientunitstayid" FROM "patient" JOIN "_u_0" "_u_0" ON "_u_0"."age" = "patient"."age" GROUP BY "patientunitstayid") SELECT DISTINCT PERCENT_RANK() OVER (ORDER BY "lab"."labresult") FROM "lab" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "lab"."patientunitstayid" WHERE "lab"."labname" = 'ph' AND "lab"."labresult" = 7.49 AND NOT "_u_1"."" IS NULL | 0.571289 |
CREATE TABLE table_name_84 (example VARCHAR2, consonant_final_stem VARCHAR2)
| What example for did- is shown for a Consonant final stem of - ? | SELECT example AS :_did_ FROM table_name_84 WHERE consonant_final_stem = "-ø" | SELECT "example" AS :_did_ FROM "table_name_84" WHERE "-ø" = "consonant_final_stem" | 0.081055 |
CREATE TABLE table_name_41 (rowers VARCHAR2, notes VARCHAR2)
| What rowers have FA as the notes? | SELECT rowers FROM table_name_41 WHERE notes = "fa" | SELECT "rowers" FROM "table_name_41" WHERE "fa" = "notes" | 0.055664 |
CREATE TABLE table_26376 ("Province ( ashkharh ) " CLOB, "Armenian name" CLOB, "Area ( km\\u00b2 ) " FLOAT, "Number of cantons ( gavars ) " FLOAT, "Center" CLOB)
| What's the center of the Artsakh province? | SELECT "Center" FROM table_26376 WHERE "Province (ashkharh)" = 'Artsakh' | SELECT "Center" FROM "table_26376" WHERE "Province (ashkharh)" = 'Artsakh' | 0.072266 |
CREATE TABLE chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE 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 microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
CREATE TABLE cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
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 inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
CREATE TABLE transfers (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, eventtype CLOB, careunit CLOB, wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
CREATE TABLE admissions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, admittime TIME, dischtime TIME, admission_type CLOB, admission_location CLOB, discharge_location CLOB, insurance CLOB, language CLOB, marital_status CLOB, ethnicity CLOB, age NUMBER)
CREATE TABLE icustays (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, first_careunit CLOB, last_careunit CLOB, first_wardid NUMBER, last_wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod 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_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
| what were the top five most frequent procedures for the patients 30s a year before? | SELECT d_icd_procedures.short_title FROM d_icd_procedures WHERE d_icd_procedures.icd9_code IN (SELECT t1.icd9_code FROM (SELECT procedures_icd.icd9_code, DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS c1 FROM procedures_icd WHERE procedures_icd.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.age BETWEEN 30 AND 39) AND DATETIME(procedures_icd.charttime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year') GROUP BY procedures_icd.icd9_code) AS t1 WHERE t1.c1 <= 5) | WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."age" <= 39 AND "admissions"."age" >= 30 GROUP BY "hadm_id"), "t1" AS (SELECT "procedures_icd"."icd9_code", DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS "c1" FROM "procedures_icd" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "procedures_icd"."hadm_id" WHERE DATETIME("procedures_icd"."charttime", 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year') AND NOT "_u_0"."" IS NULL GROUP BY "procedures_icd"."icd9_code"), "_u_1" AS (SELECT "t1"."icd9_code" FROM "t1" "t1" WHERE "t1"."c1" <= 5 GROUP BY "icd9_code") SELECT "d_icd_procedures"."short_title" FROM "d_icd_procedures" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "d_icd_procedures"."icd9_code" WHERE NOT "_u_1"."" IS NULL | 0.749023 |
CREATE TABLE table_203_570 (id NUMBER, "#" NUMBER, "title" CLOB, "tpb isbn" CLOB, "tpb release date" CLOB, "tpb page number" NUMBER, "collected material" CLOB)
| which collection made the top of the list ? | SELECT "title" FROM table_203_570 WHERE id = 1 | SELECT "title" FROM "table_203_570" WHERE "id" = 1 | 0.048828 |
CREATE TABLE table_name_43 (number_of_households NUMBER, median_household_income VARCHAR2)
| What is the sum of households that makes a median household income of $44,718? | SELECT SUM(number_of_households) FROM table_name_43 WHERE median_household_income = "$44,718" | SELECT SUM("number_of_households") FROM "table_name_43" WHERE "$44,718" = "median_household_income" | 0.09668 |
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 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)
| how many patients less than 85 years of age were ordered mcv lab test? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.age < "85" AND lab.label = "MCV" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "lab" ON "MCV" = "lab"."label" AND "demographic"."hadm_id" = "lab"."hadm_id" WHERE "85" > "demographic"."age" | 0.178711 |
CREATE TABLE table_203_20 (id NUMBER, "player" CLOB, "year" NUMBER, "round" CLOB, "result" CLOB, "opponent" CLOB)
| is dean winstanley listed above or below kyle anderson ? | SELECT (SELECT id FROM table_203_20 WHERE "player" = 'dean winstanley') < (SELECT id FROM table_203_20 WHERE "player" = 'kyle anderson') | SELECT (SELECT "id" FROM "table_203_20" WHERE "player" = 'dean winstanley') < (SELECT "id" FROM "table_203_20" WHERE "player" = 'kyle anderson') | 0.140625 |
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 regions (REGION_ID NUMBER, REGION_NAME VARCHAR2)
CREATE TABLE departments (DEPARTMENT_ID NUMBER, DEPARTMENT_NAME VARCHAR2, MANAGER_ID NUMBER, LOCATION_ID NUMBER)
CREATE TABLE jobs (JOB_ID VARCHAR2, JOB_TITLE VARCHAR2, MIN_SALARY NUMBER, MAX_SALARY NUMBER)
CREATE TABLE employees (EMPLOYEE_ID NUMBER, FIRST_NAME VARCHAR2, LAST_NAME VARCHAR2, EMAIL VARCHAR2, PHONE_NUMBER VARCHAR2, HIRE_DATE DATE, JOB_ID VARCHAR2, SALARY NUMBER, COMMISSION_PCT NUMBER, MANAGER_ID NUMBER, DEPARTMENT_ID NUMBER)
CREATE TABLE locations (LOCATION_ID NUMBER, STREET_ADDRESS VARCHAR2, POSTAL_CODE VARCHAR2, CITY VARCHAR2, STATE_PROVINCE VARCHAR2, COUNTRY_ID VARCHAR2)
| For those employees who did not have any job in the past, a bar chart shows the distribution of job_id and the amount of job_id , and group by attribute job_id, and I want to sort by the how many job id from high to low. | SELECT JOB_ID, COUNT(JOB_ID) FROM employees WHERE NOT EMPLOYEE_ID IN (SELECT EMPLOYEE_ID FROM job_history) GROUP BY JOB_ID ORDER BY COUNT(JOB_ID) DESC | SELECT "JOB_ID", COUNT("JOB_ID") FROM "employees" WHERE NOT "EMPLOYEE_ID" IN (SELECT "EMPLOYEE_ID" FROM "job_history") GROUP BY "JOB_ID" ORDER BY COUNT("JOB_ID") DESC | 0.162109 |
CREATE TABLE table_204_57 (id NUMBER, "year" NUMBER, "film" CLOB, "role" CLOB, "language" CLOB, "notes" CLOB)
| how many films was madhurima in during 2012 ? | SELECT COUNT("film") FROM table_204_57 WHERE "year" = 2012 | SELECT COUNT("film") FROM "table_204_57" WHERE "year" = 2012 | 0.058594 |
CREATE TABLE table_69600 ("Event" CLOB, "Gold" FLOAT, "Silver" FLOAT, "Bronze" FLOAT, "Total" FLOAT, "Ranking" CLOB)
| What is the highest Bronze with the Event 1972 Heidelberg and Total less than 5? | SELECT MAX("Bronze") FROM table_69600 WHERE "Event" = '1972 heidelberg' AND "Total" < '5' | SELECT MAX("Bronze") FROM "table_69600" WHERE "Event" = '1972 heidelberg' AND "Total" < '5' | 0.088867 |
CREATE TABLE table_21109892_1 (commodity VARCHAR2, value__int_$1000_ VARCHAR2)
| when the value (int $1000) is 409566, what is the commodity? | SELECT commodity FROM table_21109892_1 WHERE value__int_$1000_ = 409566 | SELECT "commodity" FROM "table_21109892_1" WHERE "value__int_$1000_" = 409566 | 0.075195 |
CREATE TABLE enrollments (campus NUMBER, year NUMBER, totalenrollment_ay NUMBER, fte_ay NUMBER)
CREATE TABLE discipline_enrollments (campus NUMBER, discipline NUMBER, year NUMBER, undergraduate NUMBER, graduate NUMBER)
CREATE TABLE faculty (campus NUMBER, year NUMBER, faculty NUMBER)
CREATE TABLE campuses (id NUMBER, campus CLOB, location CLOB, county CLOB, year NUMBER)
CREATE TABLE degrees (year NUMBER, campus NUMBER, degrees NUMBER)
CREATE TABLE csu_fees (campus NUMBER, year NUMBER, campusfee NUMBER)
| For each Orange county campus, report the number of degrees granted after 2000. | SELECT T1.campus, SUM(T2.degrees) FROM campuses AS T1 JOIN degrees AS T2 ON T1.id = T2.campus WHERE T1.county = "Orange" AND T2.year >= 2000 GROUP BY T1.campus | SELECT "T1"."campus", SUM("T2"."degrees") FROM "campuses" "T1" JOIN "degrees" "T2" ON "T1"."id" = "T2"."campus" AND "T2"."year" >= 2000 WHERE "Orange" = "T1"."county" GROUP BY "T1"."campus" | 0.18457 |
CREATE TABLE 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 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)
| what is the number of patients whose diagnoses short title is septic shock and lab test category is blood gas? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE diagnoses.short_title = "Septic shock" AND lab."CATEGORY" = "Blood Gas" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "Septic shock" = "diagnoses"."short_title" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" JOIN "lab" ON "Blood Gas" = "lab"."CATEGORY" AND "demographic"."hadm_id" = "lab"."hadm_id" | 0.267578 |
CREATE TABLE airlines (alid NUMBER, name CLOB, iata CLOB, icao CLOB, callsign CLOB, country CLOB, active CLOB)
CREATE TABLE airports (apid NUMBER, name CLOB, city CLOB, country CLOB, x NUMBER, y NUMBER, elevation NUMBER, iata CLOB, icao CLOB)
CREATE TABLE routes (rid NUMBER, dst_apid NUMBER, dst_ap CLOB, src_apid NUMBER, src_ap CLOB, alid NUMBER, airline CLOB, codeshare CLOB)
| Find the number of routes operated by American Airlines. | SELECT COUNT(*) FROM airlines AS T1 JOIN routes AS T2 ON T1.alid = T2.alid WHERE T1.name = 'American Airlines' | SELECT COUNT(*) FROM "airlines" "T1" JOIN "routes" "T2" ON "T1"."alid" = "T2"."alid" WHERE "T1"."name" = 'American Airlines' | 0.121094 |
CREATE TABLE table_39502 ("Pos." CLOB, "Player" CLOB, "Team" CLOB, "Height" CLOB, "Weight" FLOAT)
| What is the height of the player, Larry Hughes? | SELECT "Height" FROM table_39502 WHERE "Player" = 'larry hughes' | SELECT "Height" FROM "table_39502" WHERE "Player" = 'larry hughes' | 0.064453 |
CREATE TABLE PostHistoryTypes (Id NUMBER, Name CLOB)
CREATE TABLE ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment CLOB)
CREATE TABLE Comments (Id NUMBER, PostId NUMBER, Score NUMBER, Text CLOB, CreationDate TIME, UserDisplayName CLOB, UserId NUMBER, ContentLicense CLOB)
CREATE TABLE Posts (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE ReviewTaskResultTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE FlagTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE ReviewTaskStates (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId NUMBER)
CREATE TABLE PostTypes (Id NUMBER, Name CLOB)
CREATE TABLE SuggestedEdits (Id NUMBER, PostId NUMBER, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId NUMBER, Comment CLOB, Text CLOB, Title CLOB, Tags CLOB, RevisionGUID other)
CREATE TABLE ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId NUMBER)
CREATE TABLE PostTags (PostId NUMBER, TagId NUMBER)
CREATE TABLE SuggestedEditVotes (Id NUMBER, SuggestedEditId NUMBER, UserId NUMBER, VoteTypeId NUMBER, CreationDate TIME, TargetUserId NUMBER, TargetRepChange NUMBER)
CREATE TABLE Users (Id NUMBER, Reputation NUMBER, CreationDate TIME, DisplayName CLOB, LastAccessDate TIME, WebsiteUrl CLOB, Location CLOB, AboutMe CLOB, Views NUMBER, UpVotes NUMBER, DownVotes NUMBER, ProfileImageUrl CLOB, EmailHash CLOB, AccountId NUMBER)
CREATE TABLE Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
CREATE TABLE Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
CREATE TABLE CloseAsOffTopicReasonTypes (Id NUMBER, IsUniversal BOOLEAN, InputTitle CLOB, MarkdownInputGuidance CLOB, MarkdownPostOwnerGuidance CLOB, MarkdownPrivilegedUserGuidance CLOB, MarkdownConcensusDescription CLOB, CreationDate TIME, CreationModeratorId NUMBER, ApprovalDate TIME, ApprovalModeratorId NUMBER, DeactivationDate TIME, DeactivationModeratorId NUMBER)
CREATE TABLE PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
CREATE TABLE VoteTypes (Id NUMBER, Name CLOB)
CREATE TABLE PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
CREATE TABLE ReviewTaskTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount NUMBER)
CREATE TABLE CloseReasonTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId NUMBER)
CREATE TABLE PendingFlags (Id NUMBER, FlagTypeId NUMBER, PostId NUMBER, CreationDate TIME, CloseReasonTypeId NUMBER, CloseAsOffTopicReasonTypeId NUMBER, DuplicateOfQuestionId NUMBER, BelongsOnBaseHostAddress CLOB)
CREATE TABLE ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
CREATE TABLE PostHistory (Id NUMBER, PostHistoryTypeId NUMBER, PostId NUMBER, RevisionGUID other, CreationDate TIME, UserId NUMBER, UserDisplayName CLOB, Comment CLOB, Text CLOB, ContentLicense CLOB)
CREATE TABLE PostsWithDeleted (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE TagSynonyms (Id NUMBER, SourceTagName CLOB, TargetTagName CLOB, CreationDate TIME, OwnerUserId NUMBER, AutoRenameCount NUMBER, LastAutoRename TIME, Score NUMBER, ApprovedByUserId NUMBER, ApprovalDate TIME)
| New users sorted by creation date. | SELECT Id, DisplayName, CreationDate FROM Users WHERE DATEDIFF('d', CreationDate, GETDATE()) <= 720 ORDER BY CreationDate DESC | SELECT "Id", "DisplayName", "CreationDate" FROM "Users" WHERE DATEDIFF(CAST('d' AS DATETIME), CAST("CreationDate" AS DATETIME), GETDATE()) <= 720 ORDER BY "CreationDate" DESC | 0.169922 |
CREATE TABLE table_name_42 (bronze NUMBER, silver NUMBER)
| What is the sum of the bronze medals of the nation with less than 0 silvers? | SELECT SUM(bronze) FROM table_name_42 WHERE silver < 0 | SELECT SUM("bronze") FROM "table_name_42" WHERE "silver" < 0 | 0.058594 |
CREATE TABLE PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId NUMBER)
CREATE TABLE PostHistoryTypes (Id NUMBER, Name CLOB)
CREATE TABLE SuggestedEdits (Id NUMBER, PostId NUMBER, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId NUMBER, Comment CLOB, Text CLOB, Title CLOB, Tags CLOB, RevisionGUID other)
CREATE TABLE ReviewTaskTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostTypes (Id NUMBER, Name CLOB)
CREATE TABLE ReviewTaskStates (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
CREATE TABLE TagSynonyms (Id NUMBER, SourceTagName CLOB, TargetTagName CLOB, CreationDate TIME, OwnerUserId NUMBER, AutoRenameCount NUMBER, LastAutoRename TIME, Score NUMBER, ApprovedByUserId NUMBER, ApprovalDate TIME)
CREATE TABLE FlagTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE ReviewTaskResultTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment CLOB)
CREATE TABLE Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount NUMBER)
CREATE TABLE PendingFlags (Id NUMBER, FlagTypeId NUMBER, PostId NUMBER, CreationDate TIME, CloseReasonTypeId NUMBER, CloseAsOffTopicReasonTypeId NUMBER, DuplicateOfQuestionId NUMBER, BelongsOnBaseHostAddress CLOB)
CREATE TABLE PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
CREATE TABLE ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
CREATE TABLE PostsWithDeleted (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE CloseReasonTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE CloseAsOffTopicReasonTypes (Id NUMBER, IsUniversal BOOLEAN, InputTitle CLOB, MarkdownInputGuidance CLOB, MarkdownPostOwnerGuidance CLOB, MarkdownPrivilegedUserGuidance CLOB, MarkdownConcensusDescription CLOB, CreationDate TIME, CreationModeratorId NUMBER, ApprovalDate TIME, ApprovalModeratorId NUMBER, DeactivationDate TIME, DeactivationModeratorId NUMBER)
CREATE TABLE Users (Id NUMBER, Reputation NUMBER, CreationDate TIME, DisplayName CLOB, LastAccessDate TIME, WebsiteUrl CLOB, Location CLOB, AboutMe CLOB, Views NUMBER, UpVotes NUMBER, DownVotes NUMBER, ProfileImageUrl CLOB, EmailHash CLOB, AccountId NUMBER)
CREATE TABLE PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
CREATE TABLE Comments (Id NUMBER, PostId NUMBER, Score NUMBER, Text CLOB, CreationDate TIME, UserDisplayName CLOB, UserId NUMBER, ContentLicense CLOB)
CREATE TABLE PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId NUMBER)
CREATE TABLE Posts (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE VoteTypes (Id NUMBER, Name CLOB)
CREATE TABLE SuggestedEditVotes (Id NUMBER, SuggestedEditId NUMBER, UserId NUMBER, VoteTypeId NUMBER, CreationDate TIME, TargetUserId NUMBER, TargetRepChange NUMBER)
CREATE TABLE PostTags (PostId NUMBER, TagId NUMBER)
CREATE TABLE Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
CREATE TABLE ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId NUMBER)
CREATE TABLE PostHistory (Id NUMBER, PostHistoryTypeId NUMBER, PostId NUMBER, RevisionGUID other, CreationDate TIME, UserId NUMBER, UserDisplayName CLOB, Comment CLOB, Text CLOB, ContentLicense CLOB)
| Find questions ripe for the Necromancer badge. Searches for open, non-CW posts older than 60 days with no accepted answer and no answer scoring 3 or more. (Now updated so merged questions do not appear.) | SELECT Tags, p.Id AS "post_link", p.Score, p.CreationDate AS "asked_date", p.ViewCount FROM Posts AS p WHERE p.AcceptedAnswerId IS NULL AND p.PostTypeId = 1 AND p.CreationDate < CURRENT_TIMESTAMP() - 60 AND p.CommunityOwnedDate IS NULL AND p.ClosedDate IS NULL AND p.Tags LIKE '%' + LOWER(@tag) + '%' AND p.ViewCount < 30 AND NOT EXISTS(SELECT * FROM Posts AS p2 WHERE p2.ParentId = p.Id AND p2.Score >= 2 AND p2.PostTypeId = 2) AND NOT EXISTS(SELECT * FROM PostHistory AS ph WHERE ph.PostId = p.Id AND ph.PostHistoryTypeId = 14) ORDER BY p.Score DESC LIMIT 100 | WITH "_u_0" AS (SELECT "p2"."ParentId" AS "_u_1" FROM "Posts" "p2" WHERE "p2"."PostTypeId" = 2 AND "p2"."Score" >= 2 GROUP BY "p2"."ParentId"), "_u_2" AS (SELECT "ph"."PostId" AS "_u_3" FROM "PostHistory" "ph" WHERE "ph"."PostHistoryTypeId" = 14 GROUP BY "ph"."PostId") SELECT "Tags", "p"."Id" AS "post_link", "p"."Score", "p"."CreationDate" AS "asked_date", "p"."ViewCount" FROM "Posts" "p" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."_u_1" = "p"."Id" LEFT JOIN "_u_2" "_u_2" ON "_u_2"."_u_3" = "p"."Id" WHERE "_u_0"."_u_1" IS NULL AND "_u_2"."_u_3" IS NULL AND "p"."AcceptedAnswerId" IS NULL AND "p"."ClosedDate" IS NULL AND "p"."CommunityOwnedDate" IS NULL AND "p"."CreationDate" < CURRENT_TIMESTAMP - 60 AND "p"."PostTypeId" = 1 AND "p"."Tags" LIKE CONCAT(CONCAT('%', LOWER(@tag)), '%') AND "p"."ViewCount" < 30 ORDER BY "p"."Score" DESC FETCH FIRST 100 ROWS ONLY | 0.837891 |
CREATE TABLE table_53561 ("Rank" FLOAT, "Player" CLOB, "Country" CLOB, "Earnings ( $ ) " FLOAT, "Wins" FLOAT)
| How much did jim colbert earned ranked above 2? | SELECT COUNT("Earnings( $ )") FROM table_53561 WHERE "Player" = 'jim colbert' AND "Rank" < '2' | SELECT COUNT("Earnings( $ )") FROM "table_53561" WHERE "Player" = 'jim colbert' AND "Rank" < '2' | 0.09375 |
CREATE TABLE table_name_18 (record VARCHAR2, opponent VARCHAR2, date VARCHAR2)
| What was the record after the game with the Manchester Wolves on July 30, 2004? | SELECT record FROM table_name_18 WHERE opponent = "manchester wolves" AND date = "july 30, 2004" | SELECT "record" FROM "table_name_18" WHERE "date" = "july 30, 2004" AND "manchester wolves" = "opponent" | 0.101563 |
CREATE TABLE table_77482 ("Actor in London , 2002" CLOB, "Actor in New York , 2006" CLOB, "Actor in Moscow , 2007" CLOB, "Voyage" CLOB, "Shipwreck" CLOB)
| Who was the actor in Moscow who did the part done by John Carlisle in London in 2002? | SELECT "Actor in Moscow, 2007" FROM table_77482 WHERE "Actor in London, 2002" = 'john carlisle' | SELECT "Actor in Moscow, 2007" FROM "table_77482" WHERE "Actor in London, 2002" = 'john carlisle' | 0.094727 |
CREATE TABLE table_name_59 (competition VARCHAR2, round VARCHAR2)
| What is Competition, when Round is 'Group A - Match 1'? | SELECT competition FROM table_name_59 WHERE round = "group a - match 1" | SELECT "competition" FROM "table_name_59" WHERE "group a - match 1" = "round" | 0.075195 |
CREATE TABLE table_25806 ("Game" FLOAT, "Date" CLOB, "Team" CLOB, "Score" CLOB, "High points" CLOB, "High rebounds" CLOB, "High assists" CLOB, "Location Attendance" CLOB, "Record" CLOB)
| How many people had high rebounds during the game with a record of 34-32? | SELECT COUNT("High rebounds") FROM table_25806 WHERE "Record" = '34-32' | SELECT COUNT("High rebounds") FROM "table_25806" WHERE "Record" = '34-32' | 0.071289 |
CREATE TABLE table_51503 ("Pick" FLOAT, "Player" CLOB, "Nationality" CLOB, "NBA Team" CLOB, "School/Club Team" CLOB)
| What is the nationality of the player who has a pick lower than 33 and a School/Club Team of Vanderbilt? | SELECT "Nationality" FROM table_51503 WHERE "Pick" < '33' AND "School/Club Team" = 'vanderbilt' | SELECT "Nationality" FROM "table_51503" WHERE "Pick" < '33' AND "School/Club Team" = 'vanderbilt' | 0.094727 |
CREATE TABLE PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
CREATE TABLE PostTypes (Id NUMBER, Name CLOB)
CREATE TABLE ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
CREATE TABLE PostTags (PostId NUMBER, TagId NUMBER)
CREATE TABLE PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId NUMBER)
CREATE TABLE PendingFlags (Id NUMBER, FlagTypeId NUMBER, PostId NUMBER, CreationDate TIME, CloseReasonTypeId NUMBER, CloseAsOffTopicReasonTypeId NUMBER, DuplicateOfQuestionId NUMBER, BelongsOnBaseHostAddress CLOB)
CREATE TABLE PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
CREATE TABLE CloseAsOffTopicReasonTypes (Id NUMBER, IsUniversal BOOLEAN, InputTitle CLOB, MarkdownInputGuidance CLOB, MarkdownPostOwnerGuidance CLOB, MarkdownPrivilegedUserGuidance CLOB, MarkdownConcensusDescription CLOB, CreationDate TIME, CreationModeratorId NUMBER, ApprovalDate TIME, ApprovalModeratorId NUMBER, DeactivationDate TIME, DeactivationModeratorId NUMBER)
CREATE TABLE ReviewTaskTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE CloseReasonTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId NUMBER)
CREATE TABLE Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
CREATE TABLE PostHistoryTypes (Id NUMBER, Name CLOB)
CREATE TABLE PostHistory (Id NUMBER, PostHistoryTypeId NUMBER, PostId NUMBER, RevisionGUID other, CreationDate TIME, UserId NUMBER, UserDisplayName CLOB, Comment CLOB, Text CLOB, ContentLicense CLOB)
CREATE TABLE ReviewTaskResultTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Posts (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE ReviewTaskStates (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostsWithDeleted (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE Users (Id NUMBER, Reputation NUMBER, CreationDate TIME, DisplayName CLOB, LastAccessDate TIME, WebsiteUrl CLOB, Location CLOB, AboutMe CLOB, Views NUMBER, UpVotes NUMBER, DownVotes NUMBER, ProfileImageUrl CLOB, EmailHash CLOB, AccountId NUMBER)
CREATE TABLE FlagTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId NUMBER)
CREATE TABLE Comments (Id NUMBER, PostId NUMBER, Score NUMBER, Text CLOB, CreationDate TIME, UserDisplayName CLOB, UserId NUMBER, ContentLicense CLOB)
CREATE TABLE SuggestedEdits (Id NUMBER, PostId NUMBER, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId NUMBER, Comment CLOB, Text CLOB, Title CLOB, Tags CLOB, RevisionGUID other)
CREATE TABLE SuggestedEditVotes (Id NUMBER, SuggestedEditId NUMBER, UserId NUMBER, VoteTypeId NUMBER, CreationDate TIME, TargetUserId NUMBER, TargetRepChange NUMBER)
CREATE TABLE Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount NUMBER)
CREATE TABLE VoteTypes (Id NUMBER, Name CLOB)
CREATE TABLE ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment CLOB)
CREATE TABLE TagSynonyms (Id NUMBER, SourceTagName CLOB, TargetTagName CLOB, CreationDate TIME, OwnerUserId NUMBER, AutoRenameCount NUMBER, LastAutoRename TIME, Score NUMBER, ApprovedByUserId NUMBER, ApprovalDate TIME)
CREATE TABLE Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
| Users with Images in their AboutME. | SELECT Id AS "user_link", Reputation, DisplayName, AboutMe FROM Users WHERE LOWER(AboutMe) LIKE '%great firewall%' OR LOWER(DisplayName) LIKE '%great firewall%' OR LOWER(AboutMe) LIKE '%tian an men%' OR LOWER(DisplayName) LIKE '%tian an men%' OR LOWER(AboutMe) LIKE '%tiananmen%' OR LOWER(DisplayName) LIKE '%tiananmen%' OR LOWER(AboutMe) LIKE '%falun%' OR LOWER(DisplayName) LIKE '%falun%' ORDER BY Reputation DESC LIMIT 256 | SELECT "Id" AS "user_link", "Reputation", "DisplayName", "AboutMe" FROM "Users" WHERE LOWER("AboutMe") LIKE '%falun%' OR LOWER("AboutMe") LIKE '%great firewall%' OR LOWER("AboutMe") LIKE '%tian an men%' OR LOWER("AboutMe") LIKE '%tiananmen%' OR LOWER("DisplayName") LIKE '%falun%' OR LOWER("DisplayName") LIKE '%great firewall%' OR LOWER("DisplayName") LIKE '%tian an men%' OR LOWER("DisplayName") LIKE '%tiananmen%' ORDER BY "Reputation" DESC FETCH FIRST 256 ROWS ONLY | 0.458008 |
CREATE TABLE table_29394 ("Model Number" CLOB, "Frequency" CLOB, "L2 Cache" CLOB, "HT" CLOB, "Mult. 1" CLOB, "Voltage" CLOB, "TDP" CLOB, "Socket" CLOB, "Release date" CLOB, "Order Part Number" CLOB)
| What is the oder part number for the model with 10x mult. 1? | SELECT "Order Part Number" FROM table_29394 WHERE "Mult. 1" = '10x' | SELECT "Order Part Number" FROM "table_29394" WHERE "Mult. 1" = '10x' | 0.067383 |
CREATE TABLE table_15122 ("Date" CLOB, "Home captain" CLOB, "Away captain" CLOB, "Venue" CLOB, "Result" CLOB)
| When has a Venue of Adelaide Oval? | SELECT "Date" FROM table_15122 WHERE "Venue" = 'adelaide oval' | SELECT "Date" FROM "table_15122" WHERE "Venue" = 'adelaide oval' | 0.0625 |
CREATE TABLE round (Round_ID NUMBER, Member_ID NUMBER, Decoration_Theme CLOB, Rank_in_Round NUMBER)
CREATE TABLE member (Member_ID NUMBER, Name CLOB, Country CLOB, College_ID NUMBER)
CREATE TABLE college (College_ID NUMBER, Name CLOB, Leader_Name CLOB, College_Location CLOB)
| Plot how many country by grouped by country as a bar graph, could you display by the y axis from high to low please? | SELECT Country, COUNT(Country) FROM member GROUP BY Country ORDER BY COUNT(Country) DESC | SELECT "Country", COUNT("Country") FROM "member" GROUP BY "Country" ORDER BY COUNT("Country") DESC | 0.095703 |
CREATE TABLE table_name_48 (model_number VARCHAR2, socket VARCHAR2)
| What model number uses standard voltage socket? | SELECT model_number FROM table_name_48 WHERE socket = "standard voltage" | SELECT "model_number" FROM "table_name_48" WHERE "socket" = "standard voltage" | 0.076172 |
CREATE TABLE apartment_facilities (apt_id NUMBER, facility_code CLOB)
CREATE TABLE apartments (apt_id NUMBER, building_id NUMBER, apt_type_code CLOB, apt_number CLOB, bathroom_count NUMBER, bedroom_count NUMBER, room_count CLOB)
CREATE TABLE apartment_buildings (building_id NUMBER, building_short_name CLOB, building_full_name CLOB, building_description CLOB, building_address CLOB, building_manager CLOB, building_phone CLOB)
CREATE TABLE apartment_bookings (apt_booking_id NUMBER, apt_id NUMBER, guest_id NUMBER, booking_status_code CLOB, booking_start_date TIME, booking_end_date TIME)
CREATE TABLE guests (guest_id NUMBER, gender_code CLOB, guest_first_name CLOB, guest_last_name CLOB, date_of_birth TIME)
CREATE TABLE view_unit_status (apt_id NUMBER, apt_booking_id NUMBER, status_date TIME, available_yn others)
| What are the guest first name, start date, and end date of each apartment booking? | SELECT T2.guest_first_name, T1.booking_start_date, T1.booking_start_date FROM apartment_bookings AS T1 JOIN guests AS T2 ON T1.guest_id = T2.guest_id | SELECT "T2"."guest_first_name", "T1"."booking_start_date", "T1"."booking_start_date" FROM "apartment_bookings" "T1" JOIN "guests" "T2" ON "T1"."guest_id" = "T2"."guest_id" | 0.166992 |
CREATE TABLE patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
CREATE TABLE diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE 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_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 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 microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
CREATE TABLE admissions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, admittime TIME, dischtime TIME, admission_type CLOB, admission_location CLOB, discharge_location CLOB, insurance CLOB, language CLOB, marital_status CLOB, ethnicity CLOB, age NUMBER)
CREATE TABLE inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
CREATE TABLE icustays (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, first_careunit CLOB, last_careunit CLOB, first_wardid NUMBER, last_wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
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_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)
| was there any medication prescribed to patient 14671 during this month? | SELECT COUNT(*) > 0 FROM prescriptions WHERE prescriptions.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 14671) AND DATETIME(prescriptions.startdate, 'start of month') = DATETIME(CURRENT_TIME(), 'start of month', '-0 month') | WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 14671 GROUP BY "hadm_id") SELECT COUNT(*) > 0 FROM "prescriptions" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "prescriptions"."hadm_id" WHERE DATETIME("prescriptions"."startdate", 'start of month') = DATETIME(CURRENT_TIME(), 'start of month', '-0 month') AND NOT "_u_0"."" IS NULL | 0.365234 |
CREATE TABLE table_name_75 (year NUMBER, winner VARCHAR2)
| In what year did Morgan Brian win? | SELECT AVG(year) FROM table_name_75 WHERE winner = "morgan brian" | SELECT AVG("year") FROM "table_name_75" WHERE "morgan brian" = "winner" | 0.069336 |
CREATE TABLE table_22317 ("No." FLOAT, "#" FLOAT, "Title" CLOB, "Directed by" CLOB, "Written by" CLOB, "Canadian air date" CLOB, "U.S. air date" CLOB, "Production code" FLOAT, "Canadian viewers ( million ) " CLOB)
| Which episodes had production code 217? | SELECT "Title" FROM table_22317 WHERE "Production code" = '217' | SELECT "Title" FROM "table_22317" WHERE "Production code" = '217' | 0.063477 |
CREATE TABLE table_43881 ("Place" CLOB, "Player" CLOB, "Country" CLOB, "Score" CLOB, "To par" CLOB)
| What is Score, when Place is 'T8', and when Player is 'Orville Moody'? | SELECT "Score" FROM table_43881 WHERE "Place" = 't8' AND "Player" = 'orville moody' | SELECT "Score" FROM "table_43881" WHERE "Place" = 't8' AND "Player" = 'orville moody' | 0.083008 |
CREATE TABLE table_name_8 (office VARCHAR2, socialist_labor_ticket VARCHAR2, liberal_ticket VARCHAR2)
| What office has (none) as the socialist labor ticket, and stanley h. fuld as the liberal ticket? | SELECT office FROM table_name_8 WHERE socialist_labor_ticket = "(none)" AND liberal_ticket = "stanley h. fuld" | SELECT "office" FROM "table_name_8" WHERE "(none)" = "socialist_labor_ticket" AND "liberal_ticket" = "stanley h. fuld" | 0.115234 |
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 admissions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, admittime TIME, dischtime TIME, admission_type CLOB, admission_location CLOB, discharge_location CLOB, insurance CLOB, language CLOB, marital_status CLOB, ethnicity CLOB, age NUMBER)
CREATE TABLE prescriptions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, startdate TIME, enddate TIME, drug CLOB, dose_val_rx CLOB, dose_unit_rx CLOB, route CLOB)
CREATE TABLE inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
CREATE TABLE d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
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 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 patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod 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 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 diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
CREATE TABLE d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
| what was the last output that patient 69895 has had on 02/14/this year? | SELECT d_items.label FROM d_items WHERE d_items.itemid IN (SELECT outputevents.itemid FROM outputevents WHERE outputevents.icustay_id IN (SELECT icustays.icustay_id FROM icustays WHERE icustays.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 69895)) AND DATETIME(outputevents.charttime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-0 year') AND STRFTIME('%m-%d', outputevents.charttime) = '02-14' ORDER BY outputevents.charttime DESC LIMIT 1) | WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 69895 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 "outputevents"."itemid" FROM "outputevents" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "outputevents"."icustay_id" WHERE DATETIME("outputevents"."charttime", 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-0 year') AND NOT "_u_1"."" IS NULL AND STRFTIME('%m-%d', "outputevents"."charttime") = '02-14' GROUP BY "itemid" ORDER BY "outputevents"."charttime" DESC FETCH FIRST 1 ROWS ONLY) SELECT "d_items"."label" FROM "d_items" LEFT JOIN "_u_2" "_u_2" ON "_u_2"."" = "d_items"."itemid" WHERE NOT "_u_2"."" IS NULL | 0.814453 |
CREATE TABLE table_33831 ("Season" CLOB, "Episodes" FLOAT, "First airdate" CLOB, "Last airdate" CLOB, "Nielsen ranking" CLOB)
| How many episodes were in the season that first aired on September 22, 1989? | SELECT "Episodes" FROM table_33831 WHERE "First airdate" = 'september 22, 1989' | SELECT "Episodes" FROM "table_33831" WHERE "First airdate" = 'september 22, 1989' | 0.079102 |
CREATE TABLE PostTypes (Id NUMBER, Name CLOB)
CREATE TABLE PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
CREATE TABLE VoteTypes (Id NUMBER, Name CLOB)
CREATE TABLE Comments (Id NUMBER, PostId NUMBER, Score NUMBER, Text CLOB, CreationDate TIME, UserDisplayName CLOB, UserId NUMBER, ContentLicense CLOB)
CREATE TABLE PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
CREATE TABLE SuggestedEditVotes (Id NUMBER, SuggestedEditId NUMBER, UserId NUMBER, VoteTypeId NUMBER, CreationDate TIME, TargetUserId NUMBER, TargetRepChange NUMBER)
CREATE TABLE PostsWithDeleted (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE PostHistory (Id NUMBER, PostHistoryTypeId NUMBER, PostId NUMBER, RevisionGUID other, CreationDate TIME, UserId NUMBER, UserDisplayName CLOB, Comment CLOB, Text CLOB, ContentLicense CLOB)
CREATE TABLE ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
CREATE TABLE PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId NUMBER)
CREATE TABLE ReviewTaskTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
CREATE TABLE ReviewTaskResultTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment CLOB)
CREATE TABLE PostTags (PostId NUMBER, TagId NUMBER)
CREATE TABLE Posts (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE PendingFlags (Id NUMBER, FlagTypeId NUMBER, PostId NUMBER, CreationDate TIME, CloseReasonTypeId NUMBER, CloseAsOffTopicReasonTypeId NUMBER, DuplicateOfQuestionId NUMBER, BelongsOnBaseHostAddress CLOB)
CREATE TABLE CloseReasonTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE ReviewTaskStates (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Users (Id NUMBER, Reputation NUMBER, CreationDate TIME, DisplayName CLOB, LastAccessDate TIME, WebsiteUrl CLOB, Location CLOB, AboutMe CLOB, Views NUMBER, UpVotes NUMBER, DownVotes NUMBER, ProfileImageUrl CLOB, EmailHash CLOB, AccountId NUMBER)
CREATE TABLE PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId NUMBER)
CREATE TABLE Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
CREATE TABLE SuggestedEdits (Id NUMBER, PostId NUMBER, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId NUMBER, Comment CLOB, Text CLOB, Title CLOB, Tags CLOB, RevisionGUID other)
CREATE TABLE Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount NUMBER)
CREATE TABLE ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId NUMBER)
CREATE TABLE TagSynonyms (Id NUMBER, SourceTagName CLOB, TargetTagName CLOB, CreationDate TIME, OwnerUserId NUMBER, AutoRenameCount NUMBER, LastAutoRename TIME, Score NUMBER, ApprovedByUserId NUMBER, ApprovalDate TIME)
CREATE TABLE FlagTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE CloseAsOffTopicReasonTypes (Id NUMBER, IsUniversal BOOLEAN, InputTitle CLOB, MarkdownInputGuidance CLOB, MarkdownPostOwnerGuidance CLOB, MarkdownPrivilegedUserGuidance CLOB, MarkdownConcensusDescription CLOB, CreationDate TIME, CreationModeratorId NUMBER, ApprovalDate TIME, ApprovalModeratorId NUMBER, DeactivationDate TIME, DeactivationModeratorId NUMBER)
CREATE TABLE PostHistoryTypes (Id NUMBER, Name CLOB)
| Recent top answerers in the 'algorithm' tag. | SELECT Users.DisplayName, SUM(Score) AS Score FROM Tags INNER JOIN PostTags ON PostTags.TagId = Tags.Id INNER JOIN Posts ON Posts.ParentId = PostTags.PostId INNER JOIN Users ON Posts.OwnerUserId = Users.Id WHERE Posts.CommunityOwnedDate IS NULL AND Tags.TagName = 'algorithm' GROUP BY Users.DisplayName ORDER BY Score DESC LIMIT 20 | SELECT "Users"."DisplayName", SUM("Score") AS "Score" FROM "Tags" JOIN "PostTags" ON "PostTags"."TagId" = "Tags"."Id" JOIN "Posts" ON "PostTags"."PostId" = "Posts"."ParentId" AND "Posts"."CommunityOwnedDate" IS NULL JOIN "Users" ON "Posts"."OwnerUserId" = "Users"."Id" WHERE "Tags"."TagName" = 'algorithm' GROUP BY "Users"."DisplayName" ORDER BY "Score" DESC FETCH FIRST 20 ROWS ONLY | 0.374023 |
CREATE TABLE table_name_19 (laps NUMBER, driver VARCHAR2, grid VARCHAR2, time_retired VARCHAR2)
| What was the highest lap for Luigi Piotti with more than 13 grid and a time/retired engine? | SELECT MAX(laps) FROM table_name_19 WHERE grid > 13 AND time_retired = "engine" AND driver = "luigi piotti" | SELECT MAX("laps") FROM "table_name_19" WHERE "driver" = "luigi piotti" AND "engine" = "time_retired" AND "grid" > 13 | 0.114258 |
CREATE TABLE program (program_id NUMBER, name VARCHAR2, college VARCHAR2, introduction VARCHAR2)
CREATE TABLE program_requirement (program_id NUMBER, category VARCHAR2, min_credit NUMBER, additional_req VARCHAR2)
CREATE TABLE student_record (student_id NUMBER, course_id NUMBER, semester NUMBER, grade VARCHAR2, how VARCHAR2, transfer_source VARCHAR2, earn_credit VARCHAR2, repeat_term VARCHAR2, test_id VARCHAR2)
CREATE TABLE offering_instructor (offering_instructor_id NUMBER, offering_id NUMBER, instructor_id NUMBER)
CREATE TABLE course_prerequisite (pre_course_id NUMBER, course_id NUMBER)
CREATE TABLE ta (campus_job_id NUMBER, student_id NUMBER, location VARCHAR2)
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 comment_instructor (instructor_id NUMBER, student_id NUMBER, score NUMBER, comment_text VARCHAR2)
CREATE TABLE jobs (job_id NUMBER, job_title VARCHAR2, description VARCHAR2, requirement VARCHAR2, city VARCHAR2, state VARCHAR2, country VARCHAR2, zip NUMBER)
CREATE TABLE course (course_id NUMBER, name VARCHAR2, department VARCHAR2, number VARCHAR2, credits VARCHAR2, advisory_requirement VARCHAR2, enforced_requirement VARCHAR2, description VARCHAR2, num_semesters NUMBER, num_enrolled NUMBER, has_discussion VARCHAR2, has_lab VARCHAR2, has_projects VARCHAR2, has_exams VARCHAR2, num_reviews NUMBER, clarity_score NUMBER, easiness_score NUMBER, helpfulness_score NUMBER)
CREATE TABLE program_course (program_id NUMBER, course_id NUMBER, workload NUMBER, category VARCHAR2)
CREATE TABLE area (course_id NUMBER, area VARCHAR2)
CREATE TABLE semester (semester_id NUMBER, semester VARCHAR2, year NUMBER)
CREATE TABLE requirement (requirement_id NUMBER, requirement VARCHAR2, college 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 gsi (course_offering_id NUMBER, student_id NUMBER)
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)
| Do any upper-level classes not have 575 as a prerequisite ? | SELECT DISTINCT department, name, number FROM course WHERE (description LIKE '%topic0%' OR name LIKE '%topic0%') AND department = 'EECS' | SELECT DISTINCT "department", "name", "number" FROM "course" WHERE "department" = 'EECS' AND ("description" LIKE '%topic0%' OR "name" LIKE '%topic0%') | 0.146484 |
CREATE TABLE table_30084 ("\\u2116" FLOAT, "#" FLOAT, "Title" CLOB, "Directed by" CLOB, "Written by" CLOB, "Original air date" CLOB, "Production code" CLOB, "U.S. viewers ( million ) " CLOB)
| Who wrote the episode having a US viewership of 3.74 million? | SELECT "Written by" FROM table_30084 WHERE "U.S. viewers (million)" = '3.74' | SELECT "Written by" FROM "table_30084" WHERE "U.S. viewers (million)" = '3.74' | 0.076172 |
CREATE TABLE table_name_93 (location VARCHAR2, result VARCHAR2)
| What is Location, when Result is 28-21? | SELECT location FROM table_name_93 WHERE result = "28-21" | SELECT "location" FROM "table_name_93" WHERE "28-21" = "result" | 0.061523 |
CREATE TABLE table_44134 ("Poll" CLOB, "Pre- season" CLOB, "Mar 3" CLOB, "Mar 17" CLOB, "Mar 24" CLOB, "Mar 31" CLOB, "April 7" CLOB, "April 14" CLOB, "April 21" CLOB, "April 28" CLOB, "May 5" CLOB, "May 12" CLOB, "May 19" CLOB, "May 26" CLOB, "Final" CLOB)
| What is the rank for Mar 17 when the April 21 rank is 10? | SELECT "Mar 17" FROM table_44134 WHERE "April 21" = '10' | SELECT "Mar 17" FROM "table_44134" WHERE "April 21" = '10' | 0.056641 |
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
CREATE TABLE d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
CREATE TABLE outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
CREATE TABLE chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
CREATE TABLE 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 patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
CREATE TABLE d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE admissions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, admittime TIME, dischtime TIME, admission_type CLOB, admission_location CLOB, discharge_location CLOB, insurance CLOB, language CLOB, marital_status CLOB, ethnicity CLOB, age NUMBER)
CREATE TABLE 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 cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE 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 labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
| have vial been prescribed to patient 23475? | SELECT COUNT(*) > 0 FROM prescriptions WHERE prescriptions.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 23475) AND prescriptions.drug = 'vial' | WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 23475 GROUP BY "hadm_id") SELECT COUNT(*) > 0 FROM "prescriptions" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "prescriptions"."hadm_id" WHERE "prescriptions"."drug" = 'vial' AND NOT "_u_0"."" IS NULL | 0.286133 |
CREATE TABLE table_24037660_2 (lmpc_winning_team VARCHAR2, rnd VARCHAR2)
| What was the winning team lmpc in rnd 3? | SELECT lmpc_winning_team FROM table_24037660_2 WHERE rnd = 3 | SELECT "lmpc_winning_team" FROM "table_24037660_2" WHERE "rnd" = 3 | 0.064453 |
CREATE TABLE table_name_70 (career_sr VARCHAR2)
| With a 1986 of NH and a career SR of 0 / 5 what is the results in 1985? | SELECT 1985 FROM table_name_70 WHERE career_sr = "0 / 5" AND 1986 = "nh" | SELECT 1985 FROM "table_name_70" WHERE "0 / 5" = "career_sr" AND "nh" = 1986 | 0.074219 |
CREATE TABLE table_name_1 (attendance NUMBER, date VARCHAR2)
| What was the lowest Attendance for Games played on the Date of February 5? | SELECT MIN(attendance) FROM table_name_1 WHERE date = "february 5" | SELECT MIN("attendance") FROM "table_name_1" WHERE "date" = "february 5" | 0.070313 |
CREATE TABLE table_44206 ("Round" FLOAT, "Pick" FLOAT, "Player" CLOB, "Nationality" CLOB, "School/Club Team" CLOB)
| What is Pick, when Player is 'Dexter Bailey'? | SELECT "Pick" FROM table_44206 WHERE "Player" = 'dexter bailey' | SELECT "Pick" FROM "table_44206" WHERE "Player" = 'dexter bailey' | 0.063477 |
CREATE TABLE table_25737761_3 (director VARCHAR2, no VARCHAR2)
| Who directed episode number 2? | SELECT director FROM table_25737761_3 WHERE no = 2 | SELECT "director" FROM "table_25737761_3" WHERE "no" = 2 | 0.054688 |
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_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
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 inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
CREATE TABLE cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE d_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 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 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 labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE 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 patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
| have patient 25814 received a diagnosis of twin-mate lb-hosp w/o cs since 2105? | SELECT COUNT(*) > 0 FROM diagnoses_icd WHERE diagnoses_icd.icd9_code = (SELECT d_icd_diagnoses.icd9_code FROM d_icd_diagnoses WHERE d_icd_diagnoses.short_title = 'twin-mate lb-hosp w/o cs') AND diagnoses_icd.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 25814) AND STRFTIME('%y', diagnoses_icd.charttime) >= '2105' | WITH "_u_1" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 25814 GROUP BY "hadm_id") SELECT COUNT(*) > 0 FROM "diagnoses_icd" JOIN "d_icd_diagnoses" ON "d_icd_diagnoses"."icd9_code" = "diagnoses_icd"."icd9_code" AND "d_icd_diagnoses"."short_title" = 'twin-mate lb-hosp w/o cs' LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "diagnoses_icd"."hadm_id" WHERE NOT "_u_1"."" IS NULL AND STRFTIME('%y', "diagnoses_icd"."charttime") >= '2105' | 0.455078 |
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
| what is the number of patients whose days of hospital stay is greater than 14 and procedure short title is injection oxazolidinone? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.days_stay > "14" AND procedures.short_title = "Injection oxazolidinone" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "procedures" ON "Injection oxazolidinone" = "procedures"."short_title" AND "demographic"."hadm_id" = "procedures"."hadm_id" WHERE "14" < "demographic"."days_stay" | 0.230469 |
CREATE TABLE table_51612 ("Date" CLOB, "Opponents" CLOB, "Score" CLOB, "Competition" CLOB, "Match Report" CLOB)
| What is the date of the GC competition when the opponents are 1. FC Nuremberg? | SELECT "Date" FROM table_51612 WHERE "Opponents" = '1. fc nuremberg' AND "Competition" = 'gc' | SELECT "Date" FROM "table_51612" WHERE "Competition" = 'gc' AND "Opponents" = '1. fc nuremberg' | 0.092773 |
CREATE TABLE table_name_41 (attendance VARCHAR2, location VARCHAR2, date VARCHAR2)
| For the game that was played on october 22 in west side grounds, what is the total attendance | SELECT COUNT(attendance) FROM table_name_41 WHERE location = "west side grounds" AND date = "october 22" | SELECT COUNT("attendance") FROM "table_name_41" WHERE "date" = "october 22" AND "location" = "west side grounds" | 0.109375 |
CREATE TABLE table_name_44 (stage VARCHAR2, distance__km_ VARCHAR2, year VARCHAR2)
| who was the Stage winner when the stage was smaller than 16, earlier than 1986, and a distance (km) was 19.6? | SELECT stage AS winner FROM table_name_44 WHERE stage < 16 AND year < 1986 AND distance__km_ = "19.6" | SELECT "stage" AS "winner" FROM "table_name_44" WHERE "19.6" = "distance__km_" AND "stage" < 16 AND "year" < 1986 | 0.110352 |
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
| what is discharge time of subject id 65759? | SELECT demographic.dischtime FROM demographic WHERE demographic.subject_id = "65759" | SELECT "demographic"."dischtime" FROM "demographic" WHERE "65759" = "demographic"."subject_id" | 0.091797 |
CREATE TABLE table_name_62 (goals_for NUMBER, goal_difference VARCHAR2, points_1 VARCHAR2)
| What is the average goals for that has +40 as the goals difference, with points 1 greater than 55? | SELECT AVG(goals_for) FROM table_name_62 WHERE goal_difference = "+40" AND points_1 > 55 | SELECT AVG("goals_for") FROM "table_name_62" WHERE "+40" = "goal_difference" AND "points_1" > 55 | 0.09375 |
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