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CREATE TABLE table_80349 ("Year" CLOB, "Start" CLOB, "Qual" CLOB, "Rank" CLOB, "Finish" CLOB, "Laps" FLOAT)
| Name the rank for 151 Laps | SELECT "Rank" FROM table_80349 WHERE "Laps" = '151' | SELECT "Rank" FROM "table_80349" WHERE "Laps" = '151' | 0.051758 |
CREATE TABLE table_name_77 (time VARCHAR2, geust VARCHAR2)
| What is Time, when Geust is AC Bellinzona (CHL)? | SELECT time FROM table_name_77 WHERE geust = "ac bellinzona (chl)" | SELECT "time" FROM "table_name_77" WHERE "ac bellinzona (chl)" = "geust" | 0.070313 |
CREATE TABLE table_625 ("Tag ID" CLOB, "Application" CLOB, "Torque Rating" FLOAT, "1st" CLOB, "2nd" CLOB, "3rd" CLOB, "4th" CLOB, "5th" CLOB, "6th" CLOB, "Rev" CLOB, "Input Splines" FLOAT, "Output Splines" FLOAT)
| What is the rev of the 2003-2004 Mustang Cobra? | SELECT "Rev" FROM table_625 WHERE "Application" = '2003-2004 Mustang Cobra' | SELECT "Rev" FROM "table_625" WHERE "Application" = '2003-2004 Mustang Cobra' | 0.075195 |
CREATE TABLE table_53487 ("Draft" CLOB, "Round" FLOAT, "Pick" FLOAT, "Nationality" CLOB, "Position" CLOB, "School/Club Team" CLOB)
| What is the average pick after Round 2? | SELECT AVG("Pick") FROM table_53487 WHERE "Round" > '2' | SELECT AVG("Pick") FROM "table_53487" WHERE "Round" > '2' | 0.055664 |
CREATE TABLE university (School_ID NUMBER, School CLOB, Location CLOB, Founded FLOAT, Affiliation CLOB, Enrollment FLOAT, Nickname CLOB, Primary_conference CLOB)
CREATE TABLE basketball_match (Team_ID NUMBER, School_ID NUMBER, Team_Name CLOB, ACC_Regular_Season CLOB, ACC_Percent CLOB, ACC_Home CLOB, ACC_Road CLOB, All_Games CLOB, All_Games_Percent NUMBER, All_Home CLOB, All_Road CLOB, All_Neutral CLOB)
| Give me the comparison about Team_ID over the All_Neutral by a bar chart. | SELECT All_Neutral, Team_ID FROM basketball_match | SELECT "All_Neutral", "Team_ID" FROM "basketball_match" | 0.053711 |
CREATE TABLE table_21125 ("English name" CLOB, "Irish name" CLOB, "Numeral" CLOB, "Reverse" CLOB, "Introduction" CLOB, "Withdrawal" CLOB, "\\u00a31 Fraction" CLOB)
| What is the numeral where the English name is Florin? | SELECT "Numeral" FROM table_21125 WHERE "English name" = 'Florin' | SELECT "Numeral" FROM "table_21125" WHERE "English name" = 'Florin' | 0.06543 |
CREATE TABLE regions (REGION_ID NUMBER, REGION_NAME VARCHAR2)
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 departments (DEPARTMENT_ID NUMBER, DEPARTMENT_NAME VARCHAR2, MANAGER_ID NUMBER, LOCATION_ID NUMBER)
CREATE TABLE locations (LOCATION_ID NUMBER, STREET_ADDRESS VARCHAR2, POSTAL_CODE VARCHAR2, CITY VARCHAR2, STATE_PROVINCE VARCHAR2, COUNTRY_ID VARCHAR2)
CREATE TABLE jobs (JOB_ID VARCHAR2, JOB_TITLE VARCHAR2, MIN_SALARY NUMBER, MAX_SALARY NUMBER)
CREATE TABLE employees (EMPLOYEE_ID NUMBER, FIRST_NAME VARCHAR2, LAST_NAME VARCHAR2, EMAIL VARCHAR2, PHONE_NUMBER VARCHAR2, HIRE_DATE DATE, JOB_ID VARCHAR2, SALARY NUMBER, COMMISSION_PCT NUMBER, MANAGER_ID NUMBER, DEPARTMENT_ID NUMBER)
| For those employees who was hired before 2002-06-21, draw a bar chart about the distribution of job_id and the sum of salary , and group by attribute job_id, and I want to list Y from high to low order. | SELECT JOB_ID, SUM(SALARY) FROM employees WHERE HIRE_DATE < '2002-06-21' GROUP BY JOB_ID ORDER BY SUM(SALARY) DESC | SELECT "JOB_ID", SUM("SALARY") FROM "employees" WHERE "HIRE_DATE" < '2002-06-21' GROUP BY "JOB_ID" ORDER BY SUM("SALARY") DESC | 0.123047 |
CREATE TABLE table_54286 ("Name" CLOB, "Model" CLOB, "Park" CLOB, "Country" CLOB, "Opened" FLOAT)
| Which country has a rollercoaster that opened in 2002, is a spinning coaster, and is located in Disney's Animal Kingdom? | SELECT "Country" FROM table_54286 WHERE "Opened" = '2002' AND "Model" = 'spinning coaster' AND "Park" = 'disney''s animal kingdom' | SELECT "Country" FROM "table_54286" WHERE "Model" = 'spinning coaster' AND "Opened" = '2002' AND "Park" = 'disney''s animal kingdom' | 0.128906 |
CREATE TABLE table_51107 ("Rider" CLOB, "Manufacturer" CLOB, "Laps" FLOAT, "Time" CLOB, "Grid" FLOAT)
| Count the Grid which has a Manufacturer of aprilia, and a Rider of bradley smith? | SELECT AVG("Grid") FROM table_51107 WHERE "Manufacturer" = 'aprilia' AND "Rider" = 'bradley smith' | SELECT AVG("Grid") FROM "table_51107" WHERE "Manufacturer" = 'aprilia' AND "Rider" = 'bradley smith' | 0.097656 |
CREATE TABLE table_1682026_6 (profits__billion_$_ VARCHAR2, company VARCHAR2)
| What are the profits in billions for Berkshire Hathaway? | SELECT profits__billion_$_ FROM table_1682026_6 WHERE company = "Berkshire Hathaway" | SELECT "profits__billion_$_" FROM "table_1682026_6" WHERE "Berkshire Hathaway" = "company" | 0.087891 |
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 ta (campus_job_id NUMBER, student_id NUMBER, location VARCHAR2)
CREATE TABLE program_course (program_id NUMBER, course_id NUMBER, workload NUMBER, category VARCHAR2)
CREATE TABLE comment_instructor (instructor_id NUMBER, student_id NUMBER, score NUMBER, comment_text VARCHAR2)
CREATE TABLE area (course_id NUMBER, area 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 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 offering_instructor (offering_instructor_id NUMBER, offering_id NUMBER, instructor_id NUMBER)
CREATE TABLE gsi (course_offering_id NUMBER, student_id NUMBER)
CREATE TABLE semester (semester_id NUMBER, semester VARCHAR2, year NUMBER)
CREATE TABLE course_offering (offering_id NUMBER, course_id NUMBER, semester NUMBER, section_number NUMBER, start_time TIME, end_time TIME, monday VARCHAR2, tuesday VARCHAR2, wednesday VARCHAR2, thursday VARCHAR2, friday VARCHAR2, saturday VARCHAR2, sunday VARCHAR2, has_final_project VARCHAR2, has_final_exam VARCHAR2, textbook VARCHAR2, class_address VARCHAR2, allow_audit VARCHAR2)
CREATE TABLE course (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 requirement (requirement_id NUMBER, requirement VARCHAR2, college VARCHAR2)
CREATE TABLE program_requirement (program_id NUMBER, category VARCHAR2, min_credit NUMBER, additional_req 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_prerequisite (pre_course_id NUMBER, course_id NUMBER)
CREATE TABLE instructor (instructor_id NUMBER, name VARCHAR2, uniqname VARCHAR2)
| Are there classes I need to take before POLSCI 353 ? | SELECT DISTINCT COURSE_0.department, COURSE_0.name, COURSE_0.number FROM course AS COURSE_0, course AS COURSE_1, course_prerequisite WHERE COURSE_0.course_id = course_prerequisite.pre_course_id AND NOT COURSE_0.course_id IN (SELECT STUDENT_RECORDalias0.course_id FROM student_record AS STUDENT_RECORDalias0 WHERE STUDENT_RECORDalias0.student_id = 1) AND COURSE_1.course_id = course_prerequisite.course_id AND COURSE_1.department = 'POLSCI' AND COURSE_1.number = 353 | WITH "_u_0" AS (SELECT "STUDENT_RECORDalias0"."course_id" FROM "student_record" "STUDENT_RECORDalias0" WHERE "STUDENT_RECORDalias0"."student_id" = 1 GROUP BY "course_id") SELECT DISTINCT "COURSE_0"."department", "COURSE_0"."name", "COURSE_0"."number" FROM "course" "COURSE_0" LEFT JOIN "_u_0" "_u_0" ON "COURSE_0"."course_id" = "_u_0"."" JOIN "course_prerequisite" ON "COURSE_0"."course_id" = "course_prerequisite"."pre_course_id" JOIN "course" "COURSE_1" ON "COURSE_1"."course_id" = "course_prerequisite"."course_id" AND "COURSE_1"."department" = 'POLSCI' AND "COURSE_1"."number" = 353 WHERE "_u_0"."" IS NULL | 0.595703 |
CREATE TABLE ta (campus_job_id NUMBER, student_id NUMBER, location VARCHAR2)
CREATE TABLE course_offering (offering_id NUMBER, course_id NUMBER, semester NUMBER, section_number NUMBER, start_time TIME, end_time TIME, monday VARCHAR2, tuesday VARCHAR2, wednesday VARCHAR2, thursday VARCHAR2, friday VARCHAR2, saturday VARCHAR2, sunday VARCHAR2, has_final_project VARCHAR2, has_final_exam VARCHAR2, textbook VARCHAR2, class_address VARCHAR2, allow_audit VARCHAR2)
CREATE TABLE course (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 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 comment_instructor (instructor_id NUMBER, student_id NUMBER, score NUMBER, comment_text VARCHAR2)
CREATE TABLE program (program_id NUMBER, name VARCHAR2, college VARCHAR2, introduction 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 instructor (instructor_id NUMBER, name VARCHAR2, uniqname VARCHAR2)
CREATE TABLE program_course (program_id NUMBER, course_id NUMBER, workload NUMBER, category 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 requirement (requirement_id NUMBER, requirement VARCHAR2, college VARCHAR2)
CREATE TABLE area (course_id NUMBER, area VARCHAR2)
CREATE TABLE jobs (job_id NUMBER, job_title VARCHAR2, description VARCHAR2, requirement VARCHAR2, city VARCHAR2, state VARCHAR2, country VARCHAR2, zip NUMBER)
CREATE TABLE semester (semester_id NUMBER, semester VARCHAR2, year NUMBER)
CREATE TABLE gsi (course_offering_id NUMBER, student_id NUMBER)
CREATE TABLE course_prerequisite (pre_course_id NUMBER, course_id NUMBER)
CREATE TABLE program_requirement (program_id NUMBER, category VARCHAR2, min_credit NUMBER, additional_req VARCHAR2)
CREATE TABLE offering_instructor (offering_instructor_id NUMBER, offering_id NUMBER, instructor_id NUMBER)
| List the courses that satisfy the MDE requirement in Phys Princ Smart Dev ? | SELECT DISTINCT course.department, course.name, course.number FROM course INNER JOIN area ON course.course_id = area.course_id INNER JOIN program_course ON program_course.course_id = course.course_id WHERE (area.area LIKE '%Phys Princ Smart Dev%' OR course.description LIKE '%Phys Princ Smart Dev%' OR course.name LIKE '%Phys Princ Smart Dev%') AND program_course.category LIKE '%MDE%' | SELECT DISTINCT "course"."department", "course"."name", "course"."number" FROM "course" JOIN "area" ON ("area"."area" LIKE '%Phys Princ Smart Dev%' OR "course"."description" LIKE '%Phys Princ Smart Dev%' OR "course"."name" LIKE '%Phys Princ Smart Dev%') AND "area"."course_id" = "course"."course_id" JOIN "program_course" ON "course"."course_id" = "program_course"."course_id" AND "program_course"."category" LIKE '%MDE%' | 0.411133 |
CREATE TABLE table_22903426_1 (scm_system VARCHAR2, windows_builders VARCHAR2)
| Name the number of scm system for nant, visual studio | SELECT COUNT(scm_system) FROM table_22903426_1 WHERE windows_builders = "NAnt, Visual Studio" | SELECT COUNT("scm_system") FROM "table_22903426_1" WHERE "NAnt, Visual Studio" = "windows_builders" | 0.09668 |
CREATE TABLE table_name_82 (total VARCHAR2, nation VARCHAR2, rank VARCHAR2)
| Tell me the total number for costa rica and rank more than 8 | SELECT COUNT(total) FROM table_name_82 WHERE nation = "costa rica" AND rank > 8 | SELECT COUNT("total") FROM "table_name_82" WHERE "costa rica" = "nation" AND "rank" > 8 | 0.084961 |
CREATE TABLE table_name_48 (weeks_on_top VARCHAR2, artist VARCHAR2)
| How many weeks on top was OMC? | SELECT weeks_on_top FROM table_name_48 WHERE artist = "omc" | SELECT "weeks_on_top" FROM "table_name_48" WHERE "artist" = "omc" | 0.063477 |
CREATE TABLE table_name_59 (team VARCHAR2, home_city VARCHAR2)
| What team is from terni? | SELECT team FROM table_name_59 WHERE home_city = "terni" | SELECT "team" FROM "table_name_59" WHERE "home_city" = "terni" | 0.060547 |
CREATE TABLE table_11816 ("Pos." FLOAT, "Wins" FLOAT, "Ties" FLOAT, "Losses" FLOAT, "Goals" CLOB, "Goal Diff." FLOAT, "Points" CLOB)
| Which team has a Losses value larger than 1 and a Wins value smaller than 0? | SELECT SUM("Goal Diff.") FROM table_11816 WHERE "Losses" > '1' AND "Wins" < '0' | SELECT SUM("Goal Diff.") FROM "table_11816" WHERE "Losses" > '1' AND "Wins" < '0' | 0.079102 |
CREATE TABLE table_59696 ("Election" CLOB, "First member" CLOB, "First party" CLOB, "Second member" CLOB, "Second party" CLOB)
| Who is the first member in the 1868 election? | SELECT "First member" FROM table_59696 WHERE "Election" = '1868' | SELECT "First member" FROM "table_59696" WHERE "Election" = '1868' | 0.064453 |
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 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 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 program_course (program_id NUMBER, course_id NUMBER, workload NUMBER, category VARCHAR2)
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 area (course_id NUMBER, area 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 program (program_id NUMBER, name VARCHAR2, college VARCHAR2, introduction VARCHAR2)
CREATE TABLE offering_instructor (offering_instructor_id NUMBER, offering_id NUMBER, instructor_id NUMBER)
CREATE TABLE semester (semester_id NUMBER, semester VARCHAR2, year 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)
CREATE TABLE instructor (instructor_id NUMBER, name VARCHAR2, uniqname VARCHAR2)
CREATE TABLE jobs (job_id NUMBER, job_title VARCHAR2, description VARCHAR2, requirement VARCHAR2, city VARCHAR2, state VARCHAR2, country VARCHAR2, zip NUMBER)
CREATE TABLE student_record (student_id NUMBER, course_id NUMBER, semester NUMBER, grade VARCHAR2, how VARCHAR2, transfer_source VARCHAR2, earn_credit VARCHAR2, repeat_term VARCHAR2, test_id VARCHAR2)
CREATE TABLE comment_instructor (instructor_id NUMBER, student_id NUMBER, score NUMBER, comment_text VARCHAR2)
| Are there any professors who teach Survey Research , other than Prof. Hasson ? | SELECT DISTINCT course.department, course.name, course.number, instructor.name FROM course, course_offering, instructor, offering_instructor WHERE course.course_id = course_offering.course_id AND course.name LIKE '%Survey Research%' AND NOT instructor.name LIKE '%Hasson%' AND offering_instructor.instructor_id = instructor.instructor_id AND offering_instructor.offering_id = course_offering.offering_id | SELECT DISTINCT "course"."department", "course"."name", "course"."number", "instructor"."name" FROM "course" JOIN "course_offering" ON "course"."course_id" = "course_offering"."course_id" JOIN "offering_instructor" ON "course_offering"."offering_id" = "offering_instructor"."offering_id" JOIN "instructor" ON "instructor"."instructor_id" = "offering_instructor"."instructor_id" AND NOT "instructor"."name" LIKE '%Hasson%' WHERE "course"."name" LIKE '%Survey Research%' | 0.457031 |
CREATE TABLE table_name_72 (position VARCHAR2, nationality VARCHAR2, goals VARCHAR2)
| What is the position of the player from England with 62 goals? | SELECT position FROM table_name_72 WHERE nationality = "england" AND goals = "62" | SELECT "position" FROM "table_name_72" WHERE "62" = "goals" AND "england" = "nationality" | 0.086914 |
CREATE TABLE table_2886617_8 (player VARCHAR2, nhl_team VARCHAR2)
| What player was picked for Buffalo Sabres? | SELECT player FROM table_2886617_8 WHERE nhl_team = "Buffalo Sabres" | SELECT "player" FROM "table_2886617_8" WHERE "Buffalo Sabres" = "nhl_team" | 0.072266 |
CREATE TABLE Scientists (SSN NUMBER, Name CHAR)
CREATE TABLE AssignedTo (Scientist NUMBER, Project CHAR)
CREATE TABLE Projects (Code CHAR, Name CHAR, Hours NUMBER)
| Give me a histogram for what are the names of projects that require more than 300 hours, and how many scientists are assigned to each?, and list by the Name in desc. | SELECT Name, COUNT(*) FROM Projects AS T1 JOIN AssignedTo AS T2 ON T1.Code = T2.Project WHERE T1.Hours > 300 GROUP BY T1.Name ORDER BY Name DESC | SELECT "Name", COUNT(*) FROM "Projects" "T1" JOIN "AssignedTo" "T2" ON "T1"."Code" = "T2"."Project" WHERE "T1"."Hours" > 300 GROUP BY "T1"."Name" ORDER BY "Name" DESC | 0.162109 |
CREATE TABLE table_26912 ("Pick #" FLOAT, "CFL Team" CLOB, "Player" CLOB, "Position" CLOB, "School" CLOB)
| Who was drafted by the calgary stampeders? | SELECT "Player" FROM table_26912 WHERE "CFL Team" = 'Calgary Stampeders' | SELECT "Player" FROM "table_26912" WHERE "CFL Team" = 'Calgary Stampeders' | 0.072266 |
CREATE TABLE table_21494 ("Game" FLOAT, "Date" CLOB, "Team" CLOB, "Score" CLOB, "High points" CLOB, "High rebounds" CLOB, "High assists" CLOB, "Location Attendance" CLOB, "Record" CLOB)
| Who made highest assists when high rebounds was Al Horford (17) | SELECT "High assists" FROM table_21494 WHERE "High rebounds" = 'Al Horford (17)' | SELECT "High assists" FROM "table_21494" WHERE "High rebounds" = 'Al Horford (17)' | 0.080078 |
CREATE TABLE patient (uniquepid CLOB, patienthealthsystemstayid NUMBER, patientunitstayid NUMBER, gender CLOB, age CLOB, ethnicity CLOB, hospitalid NUMBER, wardid NUMBER, admissionheight NUMBER, admissionweight NUMBER, dischargeweight NUMBER, hospitaladmittime TIME, hospitaladmitsource CLOB, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus CLOB)
CREATE TABLE microlab (microlabid NUMBER, patientunitstayid NUMBER, culturesite CLOB, organism CLOB, culturetakentime TIME)
CREATE TABLE allergy (allergyid NUMBER, patientunitstayid NUMBER, drugname CLOB, allergyname CLOB, allergytime TIME)
CREATE TABLE intakeoutput (intakeoutputid NUMBER, patientunitstayid NUMBER, cellpath CLOB, celllabel CLOB, cellvaluenumeric NUMBER, intakeoutputtime TIME)
CREATE TABLE treatment (treatmentid NUMBER, patientunitstayid NUMBER, treatmentname CLOB, treatmenttime TIME)
CREATE TABLE lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime TIME)
CREATE TABLE vitalperiodic (vitalperiodicid NUMBER, patientunitstayid NUMBER, temperature NUMBER, sao2 NUMBER, heartrate NUMBER, respiration NUMBER, systemicsystolic NUMBER, systemicdiastolic NUMBER, systemicmean NUMBER, observationtime TIME)
CREATE TABLE diagnosis (diagnosisid NUMBER, patientunitstayid NUMBER, diagnosisname CLOB, diagnosistime TIME, icd9code CLOB)
CREATE TABLE medication (medicationid NUMBER, patientunitstayid NUMBER, drugname CLOB, dosage CLOB, routeadmin CLOB, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE cost (costid NUMBER, uniquepid CLOB, patienthealthsystemstayid NUMBER, eventtype CLOB, eventid NUMBER, chargetime TIME, cost NUMBER)
| when was the last time since 10/19/2103 that patient 022-78423 had an intake of propofol? | SELECT intakeoutput.intakeoutputtime FROM intakeoutput WHERE intakeoutput.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '022-78423')) AND intakeoutput.cellpath LIKE '%intake%' AND intakeoutput.celllabel = 'propofol' AND STRFTIME('%y-%m-%d', intakeoutput.intakeoutputtime) >= '2103-10-19' ORDER BY intakeoutput.intakeoutputtime DESC LIMIT 1 | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '022-78423' 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 "intakeoutput"."intakeoutputtime" FROM "intakeoutput" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "intakeoutput"."patientunitstayid" WHERE "intakeoutput"."celllabel" = 'propofol' AND "intakeoutput"."cellpath" LIKE '%intake%' AND NOT "_u_1"."" IS NULL AND STRFTIME('%y-%m-%d', "intakeoutput"."intakeoutputtime") >= '2103-10-19' ORDER BY "intakeoutput"."intakeoutputtime" DESC FETCH FIRST 1 ROWS ONLY | 0.737305 |
CREATE TABLE table_name_81 (grid NUMBER, time_retired VARCHAR2, laps VARCHAR2)
| what's the average grid that has a time/retired piston and laps smaller than 15? | SELECT AVG(grid) FROM table_name_81 WHERE time_retired = "piston" AND laps < 15 | SELECT AVG("grid") FROM "table_name_81" WHERE "laps" < 15 AND "piston" = "time_retired" | 0.084961 |
CREATE TABLE film (Film_ID NUMBER, Rank_in_series NUMBER, Number_in_season NUMBER, Title CLOB, Directed_by CLOB, Original_air_date CLOB, Production_code CLOB)
CREATE TABLE cinema (Cinema_ID NUMBER, Name CLOB, Openning_year NUMBER, Capacity NUMBER, Location CLOB)
CREATE TABLE schedule (Cinema_ID NUMBER, Film_ID NUMBER, Date CLOB, Show_times_per_day NUMBER, Price FLOAT)
| Display a bar chart for what is total number of show times per dat for each cinema?, and show show times per day in asc order please. | SELECT Name, SUM(T1.Show_times_per_day) FROM schedule AS T1 JOIN cinema AS T2 ON T1.Cinema_ID = T2.Cinema_ID GROUP BY T1.Cinema_ID ORDER BY SUM(T1.Show_times_per_day) | SELECT "Name", SUM("T1"."Show_times_per_day") FROM "schedule" "T1" JOIN "cinema" "T2" ON "T1"."Cinema_ID" = "T2"."Cinema_ID" GROUP BY "T1"."Cinema_ID" ORDER BY SUM("T1"."Show_times_per_day") | 0.185547 |
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)
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)
| how many patients whose insurance is government and procedure long title is colonoscopy? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.insurance = "Government" AND procedures.long_title = "Colonoscopy" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "procedures" ON "Colonoscopy" = "procedures"."long_title" AND "demographic"."hadm_id" = "procedures"."hadm_id" WHERE "Government" = "demographic"."insurance" | 0.225586 |
CREATE TABLE table_55426 ("Date" CLOB, "Opponent" CLOB, "Score" CLOB, "Loss" CLOB, "Attendance" CLOB, "Record" CLOB)
| What was the loss of the Mariners game when they had a record of 22-35? | SELECT "Loss" FROM table_55426 WHERE "Record" = '22-35' | SELECT "Loss" FROM "table_55426" WHERE "Record" = '22-35' | 0.055664 |
CREATE TABLE admissions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, admittime TIME, dischtime TIME, admission_type CLOB, admission_location CLOB, discharge_location CLOB, insurance CLOB, language CLOB, marital_status CLOB, ethnicity CLOB, age NUMBER)
CREATE TABLE patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
CREATE TABLE 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 labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
CREATE TABLE d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE prescriptions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, startdate TIME, enddate TIME, drug CLOB, dose_val_rx CLOB, dose_unit_rx CLOB, route CLOB)
CREATE TABLE microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
CREATE TABLE icustays (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, first_careunit CLOB, last_careunit CLOB, first_wardid NUMBER, last_wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE 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 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 outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
| how many hours have elapsed since patient 73713 was admitted to the hospital? | SELECT 24 * (STRFTIME('%j', CURRENT_TIME()) - STRFTIME('%j', admissions.admittime)) FROM admissions WHERE admissions.subject_id = 73713 AND admissions.dischtime IS NULL | SELECT 24 * (STRFTIME('%j', CURRENT_TIME()) - STRFTIME('%j', "admissions"."admittime")) FROM "admissions" WHERE "admissions"."dischtime" IS NULL AND "admissions"."subject_id" = 73713 | 0.177734 |
CREATE TABLE time_zone (time_zone_code CLOB, time_zone_name CLOB, hours_from_gmt NUMBER)
CREATE TABLE flight_leg (flight_id NUMBER, leg_number NUMBER, leg_flight NUMBER)
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 city (city_code VARCHAR2, city_name VARCHAR2, state_code VARCHAR2, country_name VARCHAR2, time_zone_code VARCHAR2)
CREATE TABLE airport_service (city_code VARCHAR2, airport_code VARCHAR2, miles_distant NUMBER, direction VARCHAR2, minutes_distant NUMBER)
CREATE TABLE days (days_code VARCHAR2, day_name VARCHAR2)
CREATE TABLE time_interval (period CLOB, begin_time NUMBER, end_time NUMBER)
CREATE TABLE class_of_service (booking_class VARCHAR2, rank NUMBER, class_description CLOB)
CREATE TABLE compartment_class (compartment VARCHAR2, class_type VARCHAR2)
CREATE TABLE 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 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 flight_fare (flight_id NUMBER, fare_id NUMBER)
CREATE TABLE equipment_sequence (aircraft_code_sequence VARCHAR2, aircraft_code VARCHAR2)
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 ground_service (city_code CLOB, airport_code CLOB, transport_type CLOB, ground_fare NUMBER)
CREATE TABLE flight (aircraft_code_sequence CLOB, airline_code VARCHAR2, airline_flight CLOB, arrival_time NUMBER, connections NUMBER, departure_time NUMBER, dual_carrier CLOB, flight_days CLOB, flight_id NUMBER, flight_number NUMBER, from_airport VARCHAR2, meal_code CLOB, stops NUMBER, time_elapsed NUMBER, to_airport VARCHAR2)
CREATE TABLE code_description (code VARCHAR2, description CLOB)
CREATE TABLE dual_carrier (main_airline VARCHAR2, low_flight_number NUMBER, high_flight_number NUMBER, dual_airline VARCHAR2, service_name CLOB)
CREATE TABLE state (state_code CLOB, state_name CLOB, country_name CLOB)
CREATE TABLE date_day (month_number NUMBER, day_number NUMBER, year NUMBER, day_name VARCHAR2)
CREATE TABLE food_service (meal_code CLOB, meal_number NUMBER, compartment CLOB, meal_description VARCHAR2)
CREATE TABLE airport (airport_code VARCHAR2, airport_name CLOB, airport_location CLOB, state_code VARCHAR2, country_name VARCHAR2, time_zone_code VARCHAR2, minimum_connect_time NUMBER)
CREATE TABLE month (month_number NUMBER, month_name CLOB)
CREATE TABLE fare_basis (fare_basis_code CLOB, booking_class CLOB, class_type CLOB, premium CLOB, economy CLOB, discounted CLOB, night CLOB, season CLOB, basis_days CLOB)
| i would like information on ground transportation city of BOS between airport and downtown | SELECT DISTINCT ground_service.transport_type FROM airport, airport_service, city AS CITY_0, city AS CITY_1, ground_service WHERE airport.airport_code = airport_service.airport_code AND CITY_0.city_name = 'BOSTON' AND CITY_1.city_code = airport_service.city_code AND CITY_1.city_name = 'BOSTON' AND ground_service.airport_code = airport.airport_code AND ground_service.city_code = CITY_0.city_code | SELECT DISTINCT "ground_service"."transport_type" FROM "airport" JOIN "airport_service" ON "airport"."airport_code" = "airport_service"."airport_code" JOIN "ground_service" ON "airport"."airport_code" = "ground_service"."airport_code" JOIN "city" "CITY_0" ON "CITY_0"."city_code" = "ground_service"."city_code" AND "CITY_0"."city_name" = 'BOSTON' JOIN "city" "CITY_1" ON "CITY_1"."city_code" = "airport_service"."city_code" AND "CITY_1"."city_name" = 'BOSTON' | 0.448242 |
CREATE TABLE table_204_135 (id NUMBER, "position" NUMBER, "club" CLOB, "played" NUMBER, "points" NUMBER, "wins" NUMBER, "draws" NUMBER, "losses" NUMBER, "goals for" NUMBER, "goals against" NUMBER, "goal difference" NUMBER)
| which club had 27 point and a goal difference of +1 ? | SELECT "club" FROM table_204_135 WHERE "points" = 27 AND "goal difference" = 1 | SELECT "club" FROM "table_204_135" WHERE "goal difference" = 1 AND "points" = 27 | 0.078125 |
CREATE TABLE Manufacturers (Code NUMBER, Name VARCHAR2, Headquarter VARCHAR2, Founder VARCHAR2, Revenue FLOAT)
CREATE TABLE Products (Code NUMBER, Name VARCHAR2, Price NUMBER, Manufacturer NUMBER)
| For those records from the products and each product's manufacturer, show me about the distribution of name and manufacturer , and group by attribute headquarter in a bar chart, and sort by the X-axis in asc. | SELECT T1.Name, T1.Manufacturer FROM Products AS T1 JOIN Manufacturers AS T2 ON T1.Manufacturer = T2.Code GROUP BY Headquarter, T1.Name ORDER BY T1.Name | SELECT "T1"."Name", "T1"."Manufacturer" FROM "Products" "T1" JOIN "Manufacturers" "T2" ON "T1"."Manufacturer" = "T2"."Code" GROUP BY "Headquarter", "T1"."Name" ORDER BY "T1"."Name" | 0.175781 |
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 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)
| how many patients admitted to emergency were aged below 71? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.admission_type = "EMERGENCY" AND demographic.age < "71" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "71" > "demographic"."age" AND "EMERGENCY" = "demographic"."admission_type" | 0.146484 |
CREATE TABLE table_58215 ("Home team" CLOB, "Home team score" CLOB, "Away team" CLOB, "Away team score" CLOB, "Venue" CLOB, "Crowd" FLOAT, "Date" CLOB)
| What was the home team's score at Victoria Park? | SELECT "Home team score" FROM table_58215 WHERE "Venue" = 'victoria park' | SELECT "Home team score" FROM "table_58215" WHERE "Venue" = 'victoria park' | 0.073242 |
CREATE TABLE food_service (meal_code CLOB, meal_number NUMBER, compartment CLOB, meal_description VARCHAR2)
CREATE TABLE flight_leg (flight_id NUMBER, leg_number NUMBER, leg_flight NUMBER)
CREATE TABLE days (days_code VARCHAR2, day_name VARCHAR2)
CREATE TABLE flight_fare (flight_id NUMBER, fare_id NUMBER)
CREATE TABLE airline (airline_code VARCHAR2, airline_name CLOB, note 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 class_of_service (booking_class VARCHAR2, rank NUMBER, class_description 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 state (state_code CLOB, state_name CLOB, country_name CLOB)
CREATE TABLE date_day (month_number NUMBER, day_number NUMBER, year NUMBER, day_name VARCHAR2)
CREATE TABLE fare (fare_id NUMBER, from_airport VARCHAR2, to_airport VARCHAR2, fare_basis_code CLOB, fare_airline CLOB, restriction_code CLOB, one_direction_cost NUMBER, round_trip_cost NUMBER, round_trip_required VARCHAR2)
CREATE TABLE time_interval (period CLOB, begin_time NUMBER, end_time NUMBER)
CREATE TABLE dual_carrier (main_airline VARCHAR2, low_flight_number NUMBER, high_flight_number NUMBER, dual_airline VARCHAR2, service_name CLOB)
CREATE TABLE 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 (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 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_zone (time_zone_code CLOB, time_zone_name CLOB, hours_from_gmt 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 compartment_class (compartment VARCHAR2, class_type VARCHAR2)
CREATE TABLE equipment_sequence (aircraft_code_sequence VARCHAR2, aircraft_code VARCHAR2)
CREATE TABLE airport_service (city_code VARCHAR2, airport_code VARCHAR2, miles_distant NUMBER, direction VARCHAR2, minutes_distant NUMBER)
CREATE TABLE code_description (code VARCHAR2, description CLOB)
CREATE TABLE ground_service (city_code CLOB, airport_code CLOB, transport_type CLOB, ground_fare NUMBER)
CREATE TABLE month (month_number NUMBER, month_name CLOB)
CREATE TABLE city (city_code VARCHAR2, city_name VARCHAR2, state_code VARCHAR2, country_name VARCHAR2, time_zone_code VARCHAR2)
| list airports | SELECT DISTINCT airport_code FROM airport | SELECT DISTINCT "airport_code" FROM "airport" | 0.043945 |
CREATE TABLE table_41557 ("City of license" CLOB, "Identifier" CLOB, "Frequency" CLOB, "Power" CLOB, "Class" CLOB, "RECNet" CLOB)
| What RECNet has 40 watts of power and temagami as the city of license? | SELECT "RECNet" FROM table_41557 WHERE "Power" = '40 watts' AND "City of license" = 'temagami' | SELECT "RECNet" FROM "table_41557" WHERE "City of license" = 'temagami' AND "Power" = '40 watts' | 0.09375 |
CREATE TABLE table_name_63 (rounds VARCHAR2, constructor VARCHAR2, rider VARCHAR2)
| What rounds did rider Mika Kallio with a Ducati constructor have? | SELECT rounds FROM table_name_63 WHERE constructor = "ducati" AND rider = "mika kallio" | SELECT "rounds" FROM "table_name_63" WHERE "constructor" = "ducati" AND "mika kallio" = "rider" | 0.092773 |
CREATE TABLE table_13687 ("Week" FLOAT, "Date" CLOB, "Opponent" CLOB, "Result" CLOB, "Attendance" CLOB)
| What is the attendance in a week larter than 4, on December 6, 1992? | SELECT "Attendance" FROM table_13687 WHERE "Week" > '4' AND "Date" = 'december 6, 1992' | SELECT "Attendance" FROM "table_13687" WHERE "Date" = 'december 6, 1992' AND "Week" > '4' | 0.086914 |
CREATE TABLE elimination (elimination_id CLOB, wrestler_id CLOB, team CLOB, eliminated_by CLOB, elimination_move CLOB, time CLOB)
CREATE TABLE wrestler (wrestler_id NUMBER, name CLOB, reign CLOB, days_held CLOB, location CLOB, event CLOB)
| Which teams had more than 3 eliminations? | SELECT team FROM elimination GROUP BY team HAVING COUNT(*) > 3 | SELECT "team" FROM "elimination" GROUP BY "team" HAVING COUNT(*) > 3 | 0.066406 |
CREATE TABLE table_name_43 (rank NUMBER, studio_s_ VARCHAR2, year VARCHAR2)
| Tell me the average rank for dharma productions before 2013 | SELECT AVG(rank) FROM table_name_43 WHERE studio_s_ = "dharma productions" AND year < 2013 | SELECT AVG("rank") FROM "table_name_43" WHERE "dharma productions" = "studio_s_" AND "year" < 2013 | 0.095703 |
CREATE TABLE table_1557752_1 (prothrombin_time VARCHAR2, partial_thromboplastin_time VARCHAR2, bleeding_time VARCHAR2)
| If the partial thromboplastin and bleeding time is prolonged, what is the prothrombin time? | SELECT prothrombin_time FROM table_1557752_1 WHERE partial_thromboplastin_time = "Prolonged" AND bleeding_time = "Prolonged" | SELECT "prothrombin_time" FROM "table_1557752_1" WHERE "Prolonged" = "bleeding_time" AND "Prolonged" = "partial_thromboplastin_time" | 0.128906 |
CREATE TABLE table_65077 ("Peak" CLOB, "Country" CLOB, "Elevation ( m ) " FLOAT, "Prominence ( m ) " FLOAT, "Col ( m ) " FLOAT)
| What is the Col entry for the peak with an elevation of 2,308 meters? | SELECT COUNT("Col (m)") FROM table_65077 WHERE "Elevation (m)" = '2,308' | SELECT COUNT("Col (m)") FROM "table_65077" WHERE "Elevation (m)" = '2,308' | 0.072266 |
CREATE TABLE table_name_60 (area__km_2__ VARCHAR2, common_of VARCHAR2, population VARCHAR2)
| How much Area (km 2) has a Common of collegno, and a Population smaller than 50137? | SELECT COUNT(area__km_2__) FROM table_name_60 WHERE common_of = "collegno" AND population < 50137 | SELECT COUNT("area__km_2__") FROM "table_name_60" WHERE "collegno" = "common_of" AND "population" < 50137 | 0.102539 |
CREATE TABLE table_12699 ("Res." CLOB, "Record" CLOB, "Opponent" CLOB, "Method" CLOB, "Event" CLOB, "Round" FLOAT, "Time" CLOB, "Location" CLOB)
| What is Res., when Round is greater than 2, and when Event is 'Midwest Cage Championships 25: Inferno'? | SELECT "Res." FROM table_12699 WHERE "Round" > '2' AND "Event" = 'midwest cage championships 25: inferno' | SELECT "Res." FROM "table_12699" WHERE "Event" = 'midwest cage championships 25: inferno' AND "Round" > '2' | 0.104492 |
CREATE TABLE body_builder (Body_Builder_ID NUMBER, People_ID NUMBER, Snatch FLOAT, Clean_Jerk FLOAT, Total FLOAT)
CREATE TABLE people (People_ID NUMBER, Name CLOB, Height FLOAT, Weight FLOAT, Birth_Date CLOB, Birth_Place CLOB)
| Return a scatter chart about the correlation between Body_Builder_ID and Total . | SELECT Body_Builder_ID, Total FROM body_builder | SELECT "Body_Builder_ID", "Total" FROM "body_builder" | 0.051758 |
CREATE TABLE table_2810 ("Game" FLOAT, "Date" CLOB, "Team" CLOB, "Score" CLOB, "High points" CLOB, "High rebounds" CLOB, "High assists" CLOB, "Location Attendance" CLOB, "Record" CLOB)
| What is every score when date is November 10? | SELECT "Score" FROM table_2810 WHERE "Date" = 'November 10' | SELECT "Score" FROM "table_2810" WHERE "Date" = 'November 10' | 0.05957 |
CREATE TABLE table_204_894 (id NUMBER, "season" NUMBER, "winner" CLOB, "score" CLOB, "runners-up" CLOB, "venue" CLOB)
| in what year did joe public win the trinidad and tobago league cup after losing the prior year ? | SELECT "season" FROM table_204_894 WHERE "winner" = 'joe public' | SELECT "season" FROM "table_204_894" WHERE "winner" = 'joe public' | 0.064453 |
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
| tell me the number of married patients who have diagnoses icd9 code 25541. | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.marital_status = "MARRIED" AND diagnoses.icd9_code = "25541" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "25541" = "diagnoses"."icd9_code" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" WHERE "MARRIED" = "demographic"."marital_status" | 0.217773 |
CREATE TABLE PostTags (PostId NUMBER, TagId NUMBER)
CREATE TABLE Comments (Id NUMBER, PostId NUMBER, Score NUMBER, Text CLOB, CreationDate TIME, UserDisplayName CLOB, UserId NUMBER, 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 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 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)
CREATE TABLE PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId NUMBER)
CREATE TABLE ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment CLOB)
CREATE TABLE FlagTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE ReviewTaskStates (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
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 VoteTypes (Id NUMBER, Name 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 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 Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
CREATE TABLE PostTypes (Id NUMBER, Name CLOB)
CREATE TABLE SuggestedEditVotes (Id NUMBER, SuggestedEditId NUMBER, UserId NUMBER, VoteTypeId NUMBER, CreationDate TIME, TargetUserId NUMBER, TargetRepChange 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 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 PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId 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 ReviewTaskTypes (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 PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
CREATE TABLE CloseReasonTypes (Id NUMBER, Name CLOB, Description CLOB)
| TEST: Quickly closed, low rated, no answers. | SELECT Id AS "post_link", CreationDate, DATEDIFF(s, CreationDate, closeddate) AS SecToClose, Tags, Body FROM Posts WHERE CAST(ClosedDate AS DATE) = CAST(CreationDate AS DATE) AND CreationDate >= DATEADD(d, -10, GETDATE()) AND PostTypeId = 1 AND AnswerCount = 0 AND Score < 0 | SELECT "Id" AS "post_link", "CreationDate", DATEDIFF(CAST("s" AS DATETIME), CAST("CreationDate" AS DATETIME), CLOSEDDATE) AS "SecToClose", "Tags", "Body" FROM "Posts" WHERE "AnswerCount" = 0 AND "CreationDate" >= DATEADD("d", -10, GETDATE()) AND "PostTypeId" = 1 AND "Score" < 0 AND CAST("ClosedDate" AS DATE) = CAST("CreationDate" AS DATE) | 0.332031 |
CREATE TABLE table_274117_5 (seasons_by_team VARCHAR2, position VARCHAR2, number VARCHAR2)
| What are seasons by team for Pro Bowl appearances of the player who was an OL and had 11 appearances? | SELECT seasons_by_team FROM table_274117_5 WHERE position = "OL" AND number = 11 | SELECT "seasons_by_team" FROM "table_274117_5" WHERE "OL" = "position" AND "number" = 11 | 0.085938 |
CREATE TABLE table_39787 ("Stake" CLOB, "Organized" CLOB, "Number of Wards/ Branches in Arkansas" FLOAT, "Stake President" CLOB, "Occupation" CLOB)
| What was the stake president when the organized date is April 18, 1965? | SELECT "Stake President" FROM table_39787 WHERE "Organized" = 'april 18, 1965' | SELECT "Stake President" FROM "table_39787" WHERE "Organized" = 'april 18, 1965' | 0.078125 |
CREATE TABLE table_name_18 (rank NUMBER, bronze VARCHAR2, total VARCHAR2, gold VARCHAR2)
| What is the rank with a higher than 2 total, 21 gold and more than 12 bronze? | SELECT AVG(rank) FROM table_name_18 WHERE total > 2 AND gold = 21 AND bronze > 12 | SELECT AVG("rank") FROM "table_name_18" WHERE "bronze" > 12 AND "gold" = 21 AND "total" > 2 | 0.088867 |
CREATE TABLE table_61290 ("Week 1" CLOB, "Week 2" CLOB, "Week 3" CLOB, "Week 4" CLOB, "Week 5" CLOB)
| Who is in week 4 if week 5 is [month ended] and week 2 is April Ireland? | SELECT "Week 4" FROM table_61290 WHERE "Week 5" = '[month ended]' AND "Week 2" = 'april ireland' | SELECT "Week 4" FROM "table_61290" WHERE "Week 2" = 'april ireland' AND "Week 5" = '[month ended]' | 0.095703 |
CREATE TABLE PersonFriend (name VARCHAR2, friend VARCHAR2, year NUMBER)
CREATE TABLE Person (name VARCHAR2, age NUMBER, city CLOB, gender CLOB, job CLOB)
| Return a histogram on how old is the average person for each job?, and could you list by the y axis in desc please? | SELECT job, AVG(age) FROM Person GROUP BY job ORDER BY AVG(age) DESC | SELECT "job", AVG("age") FROM "Person" GROUP BY "job" ORDER BY AVG("age") DESC | 0.076172 |
CREATE TABLE table_63605 ("Week" FLOAT, "Date" CLOB, "Opponent" CLOB, "Result" CLOB, "Attendance" CLOB)
| What is the Opponent of the game in Week 3? | SELECT "Opponent" FROM table_63605 WHERE "Week" = '3' | SELECT "Opponent" FROM "table_63605" WHERE "Week" = '3' | 0.053711 |
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 SuggestedEditVotes (Id NUMBER, SuggestedEditId NUMBER, UserId NUMBER, VoteTypeId NUMBER, CreationDate TIME, TargetUserId NUMBER, TargetRepChange NUMBER)
CREATE TABLE PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
CREATE TABLE ReviewTaskStates (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId 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 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 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 Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
CREATE TABLE ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId NUMBER)
CREATE TABLE PostTags (PostId NUMBER, TagId NUMBER)
CREATE TABLE PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
CREATE TABLE PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId NUMBER)
CREATE TABLE ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment CLOB)
CREATE TABLE PostHistoryTypes (Id NUMBER, Name CLOB)
CREATE TABLE TagSynonyms (Id NUMBER, SourceTagName CLOB, TargetTagName CLOB, CreationDate TIME, OwnerUserId NUMBER, AutoRenameCount NUMBER, LastAutoRename TIME, Score NUMBER, ApprovedByUserId NUMBER, ApprovalDate TIME)
CREATE TABLE CloseReasonTypes (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 Comments (Id NUMBER, PostId NUMBER, Score NUMBER, Text CLOB, CreationDate TIME, UserDisplayName CLOB, UserId NUMBER, ContentLicense CLOB)
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 FlagTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE ReviewTaskResultTypes (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 ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
CREATE TABLE Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount NUMBER)
CREATE TABLE 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)
| Search Users By Area and Tag. | SELECT ROW_NUMBER() OVER (ORDER BY SUM(p.Score) DESC) AS "#", p.OwnerUserId AS "user_link", MAX(u.Reputation) AS "total_reputation", SUM(p.Score) AS "tag_upvote", SUM(p.Score) * 10 + MAX(CASE q.AcceptedAnswerId WHEN p.Id THEN 15 ELSE 0 END) AS "tag_reputation", SUM(CASE q.AcceptedAnswerId WHEN p.Id THEN 1 ELSE 0 END) AS "accepted_answers", COUNT(p.Id) AS "answers_per_tag" FROM Users AS u JOIN Posts AS p ON p.OwnerUserId = u.Id INNER JOIN Posts AS q ON q.Id = p.ParentId WHERE LOWER(u.Location) LIKE LOWER('%##CityName##%') AND p.PostTypeId = 2 AND q.Tags LIKE LOWER('%<##TagName##>%') GROUP BY p.OwnerUserId ORDER BY SUM(p.Score) DESC | SELECT ROW_NUMBER() OVER (ORDER BY SUM("p"."Score") DESC) AS "#", "p"."OwnerUserId" AS "user_link", MAX("u"."Reputation") AS "total_reputation", SUM("p"."Score") AS "tag_upvote", SUM("p"."Score") * 10 + MAX(CASE WHEN "p"."Id" = "q"."AcceptedAnswerId" THEN 15 ELSE 0 END) AS "tag_reputation", SUM(CASE WHEN "p"."Id" = "q"."AcceptedAnswerId" THEN 1 ELSE 0 END) AS "accepted_answers", COUNT("p"."Id") AS "answers_per_tag" FROM "Users" "u" JOIN "Posts" "p" ON "p"."OwnerUserId" = "u"."Id" AND "p"."PostTypeId" = 2 JOIN "Posts" "q" ON "p"."ParentId" = "q"."Id" AND "q"."Tags" LIKE LOWER('%<##TagName##>%') WHERE LOWER("u"."Location") LIKE LOWER('%##CityName##%') GROUP BY "p"."OwnerUserId" ORDER BY SUM("p"."Score") DESC | 0.698242 |
CREATE TABLE team_franchise (franchise_id CLOB, franchise_name CLOB, active CLOB, na_assoc CLOB)
CREATE TABLE home_game (year NUMBER, league_id CLOB, team_id CLOB, park_id CLOB, span_first CLOB, span_last CLOB, games NUMBER, openings NUMBER, attendance NUMBER)
CREATE TABLE player (player_id CLOB, birth_year NUMBER, birth_month NUMBER, birth_day NUMBER, birth_country CLOB, birth_state CLOB, birth_city CLOB, death_year NUMBER, death_month NUMBER, death_day NUMBER, death_country CLOB, death_state CLOB, death_city CLOB, name_first CLOB, name_last CLOB, name_given CLOB, weight NUMBER, height NUMBER, bats CLOB, throws CLOB, debut CLOB, final_game CLOB, retro_id CLOB, bbref_id CLOB)
CREATE TABLE pitching (player_id CLOB, year NUMBER, stint NUMBER, team_id CLOB, league_id CLOB, w NUMBER, l NUMBER, g NUMBER, gs NUMBER, cg NUMBER, sho NUMBER, sv NUMBER, ipouts NUMBER, h NUMBER, er NUMBER, hr NUMBER, bb NUMBER, so NUMBER, baopp NUMBER, era NUMBER, ibb NUMBER, wp NUMBER, hbp NUMBER, bk NUMBER, bfp NUMBER, gf NUMBER, r NUMBER, sh NUMBER, sf NUMBER, g_idp NUMBER)
CREATE TABLE batting_postseason (year NUMBER, round CLOB, player_id CLOB, team_id CLOB, league_id CLOB, g NUMBER, ab NUMBER, r NUMBER, h NUMBER, double NUMBER, triple NUMBER, hr NUMBER, rbi NUMBER, sb NUMBER, cs NUMBER, bb NUMBER, so NUMBER, ibb NUMBER, hbp NUMBER, sh NUMBER, sf NUMBER, g_idp NUMBER)
CREATE TABLE park (park_id CLOB, park_name CLOB, park_alias CLOB, city CLOB, state CLOB, country CLOB)
CREATE TABLE player_award_vote (award_id CLOB, year NUMBER, league_id CLOB, player_id CLOB, points_won NUMBER, points_max NUMBER, votes_first NUMBER)
CREATE TABLE all_star (player_id CLOB, year NUMBER, game_num NUMBER, game_id CLOB, team_id CLOB, league_id CLOB, gp NUMBER, starting_pos NUMBER)
CREATE TABLE postseason (year NUMBER, round CLOB, team_id_winner CLOB, league_id_winner CLOB, team_id_loser CLOB, league_id_loser CLOB, wins NUMBER, losses NUMBER, ties NUMBER)
CREATE TABLE college (college_id CLOB, name_full CLOB, city CLOB, state CLOB, country CLOB)
CREATE TABLE salary (year NUMBER, team_id CLOB, league_id CLOB, player_id CLOB, salary NUMBER)
CREATE TABLE player_college (player_id CLOB, college_id CLOB, year NUMBER)
CREATE TABLE manager_award_vote (award_id CLOB, year NUMBER, league_id CLOB, player_id CLOB, points_won NUMBER, points_max NUMBER, votes_first NUMBER)
CREATE TABLE fielding_outfield (player_id CLOB, year NUMBER, stint NUMBER, glf NUMBER, gcf NUMBER, grf NUMBER)
CREATE TABLE fielding (player_id CLOB, year NUMBER, stint NUMBER, team_id CLOB, league_id CLOB, pos CLOB, g NUMBER, gs NUMBER, inn_outs NUMBER, po NUMBER, a NUMBER, e NUMBER, dp NUMBER, pb NUMBER, wp NUMBER, sb NUMBER, cs NUMBER, zr NUMBER)
CREATE TABLE manager_half (player_id CLOB, year NUMBER, team_id CLOB, league_id CLOB, inseason NUMBER, half NUMBER, g NUMBER, w NUMBER, l NUMBER, rank NUMBER)
CREATE TABLE manager (player_id CLOB, year NUMBER, team_id CLOB, league_id CLOB, inseason NUMBER, g NUMBER, w NUMBER, l NUMBER, rank NUMBER, plyr_mgr CLOB)
CREATE TABLE player_award (player_id CLOB, award_id CLOB, year NUMBER, league_id CLOB, tie CLOB, notes CLOB)
CREATE TABLE pitching_postseason (player_id CLOB, year NUMBER, round CLOB, team_id CLOB, league_id CLOB, w NUMBER, l NUMBER, g NUMBER, gs NUMBER, cg NUMBER, sho NUMBER, sv NUMBER, ipouts NUMBER, h NUMBER, er NUMBER, hr NUMBER, bb NUMBER, so NUMBER, baopp CLOB, era NUMBER, ibb NUMBER, wp NUMBER, hbp NUMBER, bk NUMBER, bfp NUMBER, gf NUMBER, r NUMBER, sh NUMBER, sf NUMBER, g_idp NUMBER)
CREATE TABLE team (year NUMBER, league_id CLOB, team_id CLOB, franchise_id CLOB, div_id CLOB, rank NUMBER, g NUMBER, ghome NUMBER, w NUMBER, l NUMBER, div_win CLOB, wc_win CLOB, lg_win CLOB, ws_win CLOB, r NUMBER, ab NUMBER, h NUMBER, double NUMBER, triple NUMBER, hr NUMBER, bb NUMBER, so NUMBER, sb NUMBER, cs NUMBER, hbp NUMBER, sf NUMBER, ra NUMBER, er NUMBER, era NUMBER, cg NUMBER, sho NUMBER, sv NUMBER, ipouts NUMBER, ha NUMBER, hra NUMBER, bba NUMBER, soa NUMBER, e NUMBER, dp NUMBER, fp NUMBER, name CLOB, park CLOB, attendance NUMBER, bpf NUMBER, ppf NUMBER, team_id_br CLOB, team_id_lahman45 CLOB, team_id_retro CLOB)
CREATE TABLE appearances (year NUMBER, team_id CLOB, league_id CLOB, player_id CLOB, g_all NUMBER, gs NUMBER, g_batting NUMBER, g_defense NUMBER, g_p NUMBER, g_c NUMBER, g_1b NUMBER, g_2b NUMBER, g_3b NUMBER, g_ss NUMBER, g_lf NUMBER, g_cf NUMBER, g_rf NUMBER, g_of NUMBER, g_dh NUMBER, g_ph NUMBER, g_pr NUMBER)
CREATE TABLE manager_award (player_id CLOB, award_id CLOB, year NUMBER, league_id CLOB, tie CLOB, notes NUMBER)
CREATE TABLE team_half (year NUMBER, league_id CLOB, team_id CLOB, half NUMBER, div_id CLOB, div_win CLOB, rank NUMBER, g NUMBER, w NUMBER, l NUMBER)
CREATE TABLE fielding_postseason (player_id CLOB, year NUMBER, team_id CLOB, league_id CLOB, round CLOB, pos CLOB, g NUMBER, gs NUMBER, inn_outs NUMBER, po NUMBER, a NUMBER, e NUMBER, dp NUMBER, tp NUMBER, pb NUMBER, sb NUMBER, cs NUMBER)
CREATE TABLE batting (player_id CLOB, year NUMBER, stint NUMBER, team_id CLOB, league_id CLOB, g NUMBER, ab NUMBER, r NUMBER, h NUMBER, double NUMBER, triple NUMBER, hr NUMBER, rbi NUMBER, sb NUMBER, cs NUMBER, bb NUMBER, so NUMBER, ibb NUMBER, hbp NUMBER, sh NUMBER, sf NUMBER, g_idp NUMBER)
CREATE TABLE hall_of_fame (player_id CLOB, yearid NUMBER, votedby CLOB, ballots NUMBER, needed NUMBER, votes NUMBER, inducted CLOB, category CLOB, needed_note CLOB)
| I want to see trend of the number of yearid by yearid, and I want to show in desc by the X. | SELECT yearid, COUNT(yearid) FROM hall_of_fame ORDER BY yearid DESC | SELECT "yearid", COUNT("yearid") FROM "hall_of_fame" ORDER BY "yearid" DESC | 0.073242 |
CREATE TABLE table_45976 ("Team" CLOB, "Outgoing manager" CLOB, "Manner of departure" CLOB, "Date of vacancy" CLOB, "Replaced by" CLOB, "Date of appointment" CLOB, "Position in table" CLOB)
| WHAT IS THE APPOINTMENT DATE WITH A PRE-SEASON POSITION, AND REPLACED BY THOMAS THOMASBERG? | SELECT "Date of appointment" FROM table_45976 WHERE "Position in table" = 'pre-season' AND "Replaced by" = 'thomas thomasberg' | SELECT "Date of appointment" FROM "table_45976" WHERE "Position in table" = 'pre-season' AND "Replaced by" = 'thomas thomasberg' | 0.125 |
CREATE TABLE table_32028 ("Week" FLOAT, "Date" CLOB, "Opponent" CLOB, "Result" CLOB, "Attendance" FLOAT)
| What was the outcome of the game that had a week number of less than 2? | SELECT "Result" FROM table_32028 WHERE "Week" < '2' | SELECT "Result" FROM "table_32028" WHERE "Week" < '2' | 0.051758 |
CREATE TABLE table_name_77 (year VARCHAR2, opponent VARCHAR2, player VARCHAR2)
| What year for geelong player john roberts? | SELECT year FROM table_name_77 WHERE opponent = "geelong" AND player = "john roberts" | SELECT "year" FROM "table_name_77" WHERE "geelong" = "opponent" AND "john roberts" = "player" | 0.09082 |
CREATE TABLE table_68348 ("Round" CLOB, "Kick Off" CLOB, "Opponents" CLOB, "H / A" CLOB, "Result" CLOB, "Attendance" FLOAT, "Report" CLOB)
| What was the kickoff date for the round value of R4? | SELECT "Kick Off" FROM table_68348 WHERE "Round" = 'r4' | SELECT "Kick Off" FROM "table_68348" WHERE "Round" = 'r4' | 0.055664 |
CREATE TABLE table_1157867_2 (name VARCHAR2, notes VARCHAR2, builder VARCHAR2)
| Which locomotives 12' x 17' are both ex-industrial and built by Manning Wardle? | SELECT name FROM table_1157867_2 WHERE notes = "Ex-industrial" AND builder = "Manning Wardle" | SELECT "name" FROM "table_1157867_2" WHERE "Ex-industrial" = "notes" AND "Manning Wardle" = "builder" | 0.098633 |
CREATE TABLE event (ID NUMBER, Name CLOB, Stadium_ID NUMBER, Year CLOB)
CREATE TABLE record (ID NUMBER, Result CLOB, Swimmer_ID NUMBER, Event_ID NUMBER)
CREATE TABLE swimmer (ID NUMBER, name CLOB, Nationality CLOB, meter_100 FLOAT, meter_200 CLOB, meter_300 CLOB, meter_400 CLOB, meter_500 CLOB, meter_600 CLOB, meter_700 CLOB, Time CLOB)
CREATE TABLE stadium (ID NUMBER, name CLOB, Capacity NUMBER, City CLOB, Country CLOB, Opening_year NUMBER)
| Return a bar chart about the distribution of meter_700 and ID , could you show in ascending by the meter_700? | SELECT meter_700, ID FROM swimmer ORDER BY meter_700 | SELECT "meter_700", "ID" FROM "swimmer" ORDER BY "meter_700" | 0.058594 |
CREATE TABLE diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
CREATE TABLE cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE icustays (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, first_careunit CLOB, last_careunit CLOB, first_wardid NUMBER, last_wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE transfers (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, eventtype CLOB, careunit CLOB, wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
CREATE TABLE inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
CREATE TABLE 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 chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE d_icd_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 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 outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value 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 procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
| what is the first thing patient 14502 had for intake on the last intensive care unit visit? | SELECT d_items.label FROM d_items WHERE d_items.itemid IN (SELECT inputevents_cv.itemid FROM inputevents_cv WHERE inputevents_cv.icustay_id IN (SELECT icustays.icustay_id FROM icustays WHERE icustays.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 14502) AND NOT icustays.outtime IS NULL ORDER BY icustays.intime DESC LIMIT 1) ORDER BY inputevents_cv.charttime LIMIT 1) | WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 14502 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 AND NOT "icustays"."outtime" IS NULL GROUP BY "icustay_id" ORDER BY "icustays"."intime" DESC FETCH FIRST 1 ROWS ONLY), "_u_2" AS (SELECT "inputevents_cv"."itemid" FROM "inputevents_cv" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "inputevents_cv"."icustay_id" WHERE NOT "_u_1"."" IS NULL GROUP BY "itemid" ORDER BY "inputevents_cv"."charttime" 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 | 0.741211 |
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)
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)
| how many of the newborn patients (as primary disease) had icd9 code 4311? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.diagnosis = "NEWBORN" AND procedures.icd9_code = "4311" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "procedures" ON "4311" = "procedures"."icd9_code" AND "demographic"."hadm_id" = "procedures"."hadm_id" WHERE "NEWBORN" = "demographic"."diagnosis" | 0.214844 |
CREATE TABLE table_16768245_2 (namesake VARCHAR2, longitude VARCHAR2)
| When the longitude is 147.1w what is the namesake of the feature? | SELECT namesake FROM table_16768245_2 WHERE longitude = "147.1W" | SELECT "namesake" FROM "table_16768245_2" WHERE "147.1W" = "longitude" | 0.068359 |
CREATE TABLE table_name_74 (employed VARCHAR2, position_held VARCHAR2)
| What are the years employed shown for mathematics & prefect master? | SELECT employed FROM table_name_74 WHERE position_held = "mathematics & prefect master" | SELECT "employed" FROM "table_name_74" WHERE "mathematics & prefect master" = "position_held" | 0.09082 |
CREATE TABLE table_19763199_5 (song VARCHAR2, artist VARCHAR2)
| Name the number of song for julia bermejo | SELECT COUNT(song) FROM table_19763199_5 WHERE artist = "Julia Bermejo" | SELECT COUNT("song") FROM "table_19763199_5" WHERE "Julia Bermejo" = "artist" | 0.075195 |
CREATE TABLE table_28490105_1 (supporting VARCHAR2, gt_winning_car VARCHAR2)
| Who was supporting in the round when the gt winning car was dino crescentini? | SELECT supporting FROM table_28490105_1 WHERE gt_winning_car = "Dino Crescentini" | SELECT "supporting" FROM "table_28490105_1" WHERE "Dino Crescentini" = "gt_winning_car" | 0.084961 |
CREATE TABLE table_11354 ("Rd #" FLOAT, "Pick #" FLOAT, "Player" CLOB, "Team ( League ) " CLOB, "Reg GP" FLOAT, "Pl GP" FLOAT)
| What is the rd number where the reg GP is 0 and the pick is 150? | SELECT COUNT("Rd #") FROM table_11354 WHERE "Reg GP" = '0' AND "Pick #" = '150' | SELECT COUNT("Rd #") FROM "table_11354" WHERE "Pick #" = '150' AND "Reg GP" = '0' | 0.079102 |
CREATE TABLE table_65260 ("Tie no" CLOB, "Home team" CLOB, "Score" CLOB, "Away team" CLOB, "Date" CLOB)
| who is the away team when the tie no is 7? | SELECT "Away team" FROM table_65260 WHERE "Tie no" = '7' | SELECT "Away team" FROM "table_65260" WHERE "Tie no" = '7' | 0.056641 |
CREATE TABLE table_62273 ("Draw" FLOAT, "Language" CLOB, "Artist" CLOB, "Song" CLOB, "English translation" CLOB, "National final" CLOB, "Place" FLOAT, "Points" FLOAT)
| what is the lowest place when the language is croatian? | SELECT MIN("Place") FROM table_62273 WHERE "Language" = 'croatian' | SELECT MIN("Place") FROM "table_62273" WHERE "Language" = 'croatian' | 0.066406 |
CREATE TABLE table_name_26 (date VARCHAR2, attendance VARCHAR2)
| When was the game that had 58,025 people in attendance? | SELECT date FROM table_name_26 WHERE attendance = "58,025" | SELECT "date" FROM "table_name_26" WHERE "58,025" = "attendance" | 0.0625 |
CREATE TABLE table_name_17 (date_of_appointment VARCHAR2, replacement VARCHAR2)
| On what date was Paulo Sousa appointed? | SELECT date_of_appointment FROM table_name_17 WHERE replacement = "paulo sousa" | SELECT "date_of_appointment" FROM "table_name_17" WHERE "paulo sousa" = "replacement" | 0.083008 |
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
| how many patients whose age is less than 45? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.age < "45" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "45" > "demographic"."age" | 0.098633 |
CREATE TABLE table_name_43 (goals NUMBER, latest_cap VARCHAR2, caps VARCHAR2)
| How many goals are associated with over 97 caps and a Latest cap of april 24, 2013? | SELECT AVG(goals) FROM table_name_43 WHERE latest_cap = "april 24, 2013" AND caps > 97 | SELECT AVG("goals") FROM "table_name_43" WHERE "april 24, 2013" = "latest_cap" AND "caps" > 97 | 0.091797 |
CREATE TABLE table_name_19 (silver NUMBER, total VARCHAR2, gold VARCHAR2, nation VARCHAR2)
| What is the largest silver with Gold larger than 4, a Nation of united states, and a Total larger than 26? | SELECT MAX(silver) FROM table_name_19 WHERE gold > 4 AND nation = "united states" AND total > 26 | SELECT MAX("silver") FROM "table_name_19" WHERE "gold" > 4 AND "nation" = "united states" AND "total" > 26 | 0.103516 |
CREATE TABLE university (School_ID NUMBER, School CLOB, Location CLOB, Founded FLOAT, Affiliation CLOB, Enrollment FLOAT, Nickname CLOB, Primary_conference CLOB)
CREATE TABLE basketball_match (Team_ID NUMBER, School_ID NUMBER, Team_Name CLOB, ACC_Regular_Season CLOB, ACC_Percent CLOB, ACC_Home CLOB, ACC_Road CLOB, All_Games CLOB, All_Games_Percent NUMBER, All_Home CLOB, All_Road CLOB, All_Neutral CLOB)
| Show me about the distribution of All_Games and Team_ID in a bar chart, and list Team_ID from low to high order please. | SELECT All_Games, Team_ID FROM basketball_match ORDER BY Team_ID | SELECT "All_Games", "Team_ID" FROM "basketball_match" ORDER BY "Team_ID" | 0.070313 |
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)
| Which patients have a neolevo5 drug code? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE prescriptions.formulary_drug_cd = "NEOLEVO5" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "prescriptions" ON "NEOLEVO5" = "prescriptions"."formulary_drug_cd" AND "demographic"."hadm_id" = "prescriptions"."hadm_id" | 0.192383 |
CREATE TABLE roles (role_code CLOB, role_description CLOB)
CREATE TABLE ref_shipping_agents (shipping_agent_code CLOB, shipping_agent_name CLOB, shipping_agent_description CLOB)
CREATE TABLE ref_document_types (document_type_code CLOB, document_type_description CLOB)
CREATE TABLE documents (document_id NUMBER, document_status_code CLOB, document_type_code CLOB, shipping_agent_code CLOB, receipt_date TIME, receipt_number CLOB, other_details CLOB)
CREATE TABLE circulation_history (document_id NUMBER, draft_number NUMBER, copy_number NUMBER, employee_id NUMBER)
CREATE TABLE draft_copies (document_id NUMBER, draft_number NUMBER, copy_number NUMBER)
CREATE TABLE addresses (address_id NUMBER, address_details CLOB)
CREATE TABLE ref_document_status (document_status_code CLOB, document_status_description CLOB)
CREATE TABLE document_drafts (document_id NUMBER, draft_number NUMBER, draft_details CLOB)
CREATE TABLE documents_mailed (document_id NUMBER, mailed_to_address_id NUMBER, mailing_date TIME)
CREATE TABLE employees (employee_id NUMBER, role_code CLOB, employee_name CLOB, other_details CLOB)
| Which document has the most draft copies? List its document id and number of draft copies. | SELECT document_id, COUNT(copy_number) FROM draft_copies GROUP BY document_id ORDER BY COUNT(copy_number) DESC LIMIT 1 | SELECT "document_id", COUNT("copy_number") FROM "draft_copies" GROUP BY "document_id" ORDER BY COUNT("copy_number") DESC FETCH FIRST 1 ROWS ONLY | 0.140625 |
CREATE TABLE table_name_5 (location VARCHAR2, event VARCHAR2)
| Where was the Fury FC 4: High Voltage event held? | SELECT location FROM table_name_5 WHERE event = "fury fc 4: high voltage" | SELECT "location" FROM "table_name_5" WHERE "event" = "fury fc 4: high voltage" | 0.077148 |
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
| how many patients are admitted before the year 2137 and tested with fibrinogen functional in lab? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.admityear < "2137" AND lab.label = "Fibrinogen, Functional" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "lab" ON "Fibrinogen, Functional" = "lab"."label" AND "demographic"."hadm_id" = "lab"."hadm_id" WHERE "2137" > "demographic"."admityear" | 0.205078 |
CREATE TABLE job_history (EMPLOYEE_ID NUMBER, START_DATE DATE, END_DATE DATE, JOB_ID VARCHAR2, DEPARTMENT_ID NUMBER)
CREATE TABLE departments (DEPARTMENT_ID NUMBER, DEPARTMENT_NAME VARCHAR2, MANAGER_ID NUMBER, LOCATION_ID NUMBER)
CREATE TABLE employees (EMPLOYEE_ID NUMBER, FIRST_NAME VARCHAR2, LAST_NAME VARCHAR2, EMAIL VARCHAR2, PHONE_NUMBER VARCHAR2, HIRE_DATE DATE, JOB_ID VARCHAR2, SALARY NUMBER, COMMISSION_PCT NUMBER, MANAGER_ID NUMBER, DEPARTMENT_ID NUMBER)
CREATE TABLE jobs (JOB_ID VARCHAR2, JOB_TITLE VARCHAR2, MIN_SALARY NUMBER, MAX_SALARY NUMBER)
CREATE TABLE regions (REGION_ID NUMBER, REGION_NAME VARCHAR2)
CREATE TABLE locations (LOCATION_ID NUMBER, STREET_ADDRESS VARCHAR2, POSTAL_CODE VARCHAR2, CITY VARCHAR2, STATE_PROVINCE VARCHAR2, COUNTRY_ID VARCHAR2)
CREATE TABLE countries (COUNTRY_ID VARCHAR2, COUNTRY_NAME VARCHAR2, REGION_ID NUMBER)
| For all employees who have the letters D or S in their first name, return a bar chart about the distribution of job_id and the average of salary , and group by attribute job_id, and I want to show in asc by the X-axis. | SELECT JOB_ID, AVG(SALARY) FROM employees WHERE FIRST_NAME LIKE '%D%' OR FIRST_NAME LIKE '%S%' GROUP BY JOB_ID ORDER BY JOB_ID | SELECT "JOB_ID", AVG("SALARY") FROM "employees" WHERE "FIRST_NAME" LIKE '%D%' OR "FIRST_NAME" LIKE '%S%' GROUP BY "JOB_ID" ORDER BY "JOB_ID" | 0.136719 |
CREATE TABLE table_1316 ("Kansas State vs." CLOB, "Overall Record" CLOB, "at Manhattan" CLOB, "at Opponents Venue" CLOB, "at Neutral Site" CLOB, "Last 5 Meetings" CLOB, "Last 10 Meetings" CLOB, "Current Streak" CLOB, "Big 12 Games" CLOB)
| What is the at Manhattan record against TCU? | SELECT "at Manhattan" FROM table_1316 WHERE "Kansas State vs." = 'TCU' | SELECT "at Manhattan" FROM "table_1316" WHERE "Kansas State vs." = 'TCU' | 0.070313 |
CREATE TABLE table_77809 ("Rank" FLOAT, "Constituency" CLOB, "Winning party 2007" CLOB, "Swing to gain" FLOAT, "LD's place 2007" CLOB, "Result" CLOB)
| what is the lowest rank when the constituency is edinburgh northern and leith and the swing to gain is less than 4.16? | SELECT MIN("Rank") FROM table_77809 WHERE "Constituency" = 'edinburgh northern and leith' AND "Swing to gain" < '4.16' | SELECT MIN("Rank") FROM "table_77809" WHERE "Constituency" = 'edinburgh northern and leith' AND "Swing to gain" < '4.16' | 0.117188 |
CREATE TABLE table_56652 ("Home team" CLOB, "Home team score" CLOB, "Away team" CLOB, "Away team score" CLOB, "Venue" CLOB, "Crowd" FLOAT, "Date" CLOB)
| What did the home team score when South Melbourne was the away team? | SELECT "Home team score" FROM table_56652 WHERE "Away team" = 'south melbourne' | SELECT "Home team score" FROM "table_56652" WHERE "Away team" = 'south melbourne' | 0.079102 |
CREATE TABLE table_23224961_2 (season VARCHAR2, oberfranken_west VARCHAR2)
| When sv neuses is the oberfranken west what is the season? | SELECT season FROM table_23224961_2 WHERE oberfranken_west = "SV Neuses" | SELECT "season" FROM "table_23224961_2" WHERE "SV Neuses" = "oberfranken_west" | 0.076172 |
CREATE TABLE compartment_class (compartment VARCHAR2, class_type VARCHAR2)
CREATE TABLE time_interval (period CLOB, begin_time NUMBER, end_time NUMBER)
CREATE TABLE class_of_service (booking_class VARCHAR2, rank NUMBER, class_description CLOB)
CREATE TABLE time_zone (time_zone_code CLOB, time_zone_name CLOB, hours_from_gmt NUMBER)
CREATE TABLE days (days_code VARCHAR2, day_name VARCHAR2)
CREATE TABLE state (state_code CLOB, state_name CLOB, country_name CLOB)
CREATE TABLE flight_fare (flight_id NUMBER, fare_id NUMBER)
CREATE TABLE airport_service (city_code VARCHAR2, airport_code VARCHAR2, miles_distant NUMBER, direction VARCHAR2, minutes_distant NUMBER)
CREATE TABLE equipment_sequence (aircraft_code_sequence VARCHAR2, aircraft_code VARCHAR2)
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_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 ground_service (city_code CLOB, airport_code CLOB, transport_type CLOB, ground_fare NUMBER)
CREATE TABLE flight (aircraft_code_sequence CLOB, airline_code VARCHAR2, airline_flight CLOB, arrival_time NUMBER, connections NUMBER, departure_time NUMBER, dual_carrier CLOB, flight_days CLOB, flight_id NUMBER, flight_number NUMBER, from_airport VARCHAR2, meal_code CLOB, stops NUMBER, time_elapsed NUMBER, to_airport VARCHAR2)
CREATE TABLE code_description (code VARCHAR2, description 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 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 dual_carrier (main_airline VARCHAR2, low_flight_number NUMBER, high_flight_number NUMBER, dual_airline VARCHAR2, service_name CLOB)
CREATE TABLE airline (airline_code VARCHAR2, airline_name CLOB, note CLOB)
CREATE TABLE date_day (month_number NUMBER, day_number NUMBER, year NUMBER, day_name VARCHAR2)
CREATE TABLE airport (airport_code VARCHAR2, airport_name CLOB, airport_location CLOB, state_code VARCHAR2, country_name VARCHAR2, time_zone_code VARCHAR2, minimum_connect_time NUMBER)
CREATE TABLE food_service (meal_code CLOB, meal_number NUMBER, compartment CLOB, meal_description VARCHAR2)
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 city (city_code VARCHAR2, city_name VARCHAR2, state_code VARCHAR2, country_name VARCHAR2, time_zone_code VARCHAR2)
CREATE TABLE flight_leg (flight_id NUMBER, leg_number NUMBER, leg_flight NUMBER)
| i would like one flight from KANSAS CITY to ST. PAUL arriving around dinnertime 6pm | 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 ((flight.arrival_time <= 1830 AND flight.arrival_time >= 1730) AND CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'ST. PAUL' AND flight.to_airport = AIRPORT_SERVICE_1.airport_code) AND CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'KANSAS CITY' AND flight.from_airport = AIRPORT_SERVICE_0.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" = 'KANSAS CITY' JOIN "flight" ON "AIRPORT_SERVICE_0"."airport_code" = "flight"."from_airport" AND "flight"."arrival_time" <= 1830 AND "flight"."arrival_time" >= 1730 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" = 'ST. PAUL' | 0.557617 |
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 ta (campus_job_id NUMBER, student_id NUMBER, location VARCHAR2)
CREATE TABLE semester (semester_id NUMBER, semester VARCHAR2, year NUMBER)
CREATE TABLE jobs (job_id NUMBER, job_title VARCHAR2, description VARCHAR2, requirement VARCHAR2, city VARCHAR2, state VARCHAR2, country VARCHAR2, zip NUMBER)
CREATE TABLE requirement (requirement_id NUMBER, requirement VARCHAR2, college VARCHAR2)
CREATE TABLE offering_instructor (offering_instructor_id NUMBER, offering_id NUMBER, instructor_id NUMBER)
CREATE TABLE comment_instructor (instructor_id NUMBER, student_id NUMBER, score NUMBER, comment_text VARCHAR2)
CREATE TABLE program_course (program_id NUMBER, course_id NUMBER, workload NUMBER, category VARCHAR2)
CREATE TABLE course_prerequisite (pre_course_id NUMBER, course_id 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_requirement (program_id NUMBER, category VARCHAR2, min_credit NUMBER, additional_req 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 area (course_id NUMBER, area VARCHAR2)
CREATE TABLE gsi (course_offering_id NUMBER, student_id NUMBER)
CREATE TABLE student_record (student_id NUMBER, course_id NUMBER, semester NUMBER, grade VARCHAR2, how VARCHAR2, transfer_source VARCHAR2, earn_credit VARCHAR2, repeat_term VARCHAR2, test_id VARCHAR2)
CREATE TABLE instructor (instructor_id NUMBER, name VARCHAR2, uniqname 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 program (program_id NUMBER, name VARCHAR2, college VARCHAR2, introduction VARCHAR2)
| What past classes has Dr. Nicole Appleberry taught ? | SELECT DISTINCT course.department, course.name, course.number FROM course, course_offering, instructor, offering_instructor WHERE course_offering.semester < (SELECT SEMESTERalias0.semester_id FROM semester AS SEMESTERalias0 WHERE SEMESTERalias0.semester = 'WN' AND SEMESTERalias0.year = 2016) AND course.course_id = course_offering.course_id AND instructor.name LIKE '%Nicole Appleberry%' AND offering_instructor.instructor_id = instructor.instructor_id AND offering_instructor.offering_id = course_offering.offering_id | SELECT DISTINCT "course"."department", "course"."name", "course"."number" FROM "course" JOIN "course_offering" ON "course"."course_id" = "course_offering"."course_id" JOIN "semester" "SEMESTERalias0" ON "SEMESTERalias0"."semester" = 'WN' AND "SEMESTERalias0"."semester_id" > "course_offering"."semester" AND "SEMESTERalias0"."year" = 2016 JOIN "offering_instructor" ON "course_offering"."offering_id" = "offering_instructor"."offering_id" JOIN "instructor" ON "instructor"."instructor_id" = "offering_instructor"."instructor_id" AND "instructor"."name" LIKE '%Nicole Appleberry%' | 0.56543 |
CREATE TABLE table_63408 ("Year" CLOB, "Matches" FLOAT, "Tries" FLOAT, "Goals" FLOAT, "Points" FLOAT)
| What are the highest points with 2012 as the year? | SELECT MAX("Points") FROM table_63408 WHERE "Year" = '2012' | SELECT MAX("Points") FROM "table_63408" WHERE "Year" = '2012' | 0.05957 |
CREATE TABLE furniture_manufacte (Manufacturer_ID NUMBER, Furniture_ID NUMBER, Price_in_Dollar FLOAT)
CREATE TABLE furniture (Furniture_ID NUMBER, Name CLOB, Num_of_Component NUMBER, Market_Rate FLOAT)
CREATE TABLE manufacturer (Manufacturer_ID NUMBER, Open_Year FLOAT, Name CLOB, Num_of_Factories NUMBER, Num_of_Shops NUMBER)
| Give me the names and prices of furnitures which some companies are manufacturing with a bar chart, and I want to display by the names in descending. | SELECT Name, Price_in_Dollar FROM furniture AS t1 JOIN furniture_manufacte AS t2 ON t1.Furniture_ID = t2.Furniture_ID ORDER BY Name DESC | SELECT "Name", "Price_in_Dollar" FROM "furniture" "t1" JOIN "furniture_manufacte" "t2" ON "t1"."Furniture_ID" = "t2"."Furniture_ID" ORDER BY "Name" DESC | 0.148438 |
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 transfers (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, eventtype CLOB, careunit CLOB, wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
CREATE TABLE 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 cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
CREATE TABLE microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
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 procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
CREATE TABLE diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE prescriptions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, startdate TIME, enddate TIME, drug CLOB, dose_val_rx CLOB, dose_unit_rx CLOB, route CLOB)
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
| what were the three most commonly prescribed drugs for patients 50s during this year? | SELECT t1.drug FROM (SELECT prescriptions.drug, DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS c1 FROM prescriptions WHERE prescriptions.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.age BETWEEN 50 AND 59) AND DATETIME(prescriptions.startdate, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-0 year') GROUP BY prescriptions.drug) AS t1 WHERE t1.c1 <= 3 | WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."age" <= 59 AND "admissions"."age" >= 50 GROUP BY "hadm_id"), "t1" AS (SELECT "prescriptions"."drug", DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS "c1" FROM "prescriptions" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "prescriptions"."hadm_id" WHERE DATETIME("prescriptions"."startdate", 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-0 year') AND NOT "_u_0"."" IS NULL GROUP BY "prescriptions"."drug") SELECT "t1"."drug" FROM "t1" "t1" WHERE "t1"."c1" <= 3 | 0.538086 |
CREATE TABLE table_15215 ("Date" CLOB, "Visitor" CLOB, "Score" CLOB, "Home" CLOB, "Record" CLOB)
| Who is the visitor on May 9? | SELECT "Visitor" FROM table_15215 WHERE "Date" = 'may 9' | SELECT "Visitor" FROM "table_15215" WHERE "Date" = 'may 9' | 0.056641 |
CREATE TABLE table_11880 ("Date" CLOB, "Opponent" CLOB, "Score" CLOB, "Site/Stadium" CLOB, "Loss" CLOB, "Attendance" CLOB, "Record" CLOB)
| Who was the opponent at Baum Stadium on April 6? | SELECT "Opponent" FROM table_11880 WHERE "Site/Stadium" = 'baum stadium' AND "Date" = 'april 6' | SELECT "Opponent" FROM "table_11880" WHERE "Date" = 'april 6' AND "Site/Stadium" = 'baum stadium' | 0.094727 |
CREATE TABLE table_11844 ("Draw" FLOAT, "Artist" CLOB, "Song" CLOB, "Points" FLOAT, "Place" FLOAT)
| how many times was the points 18? | SELECT COUNT("Place") FROM table_11844 WHERE "Points" = '18' | SELECT COUNT("Place") FROM "table_11844" WHERE "Points" = '18' | 0.060547 |
CREATE TABLE table_14981555_1 (group VARCHAR2, race VARCHAR2)
| What is the group name when 3yo hcp restricted maiden was raced? | SELECT group FROM table_14981555_1 WHERE race = "3yo Hcp Restricted Maiden" | SELECT "group" FROM "table_14981555_1" WHERE "3yo Hcp Restricted Maiden" = "race" | 0.079102 |
CREATE TABLE table_5109 ("Club" CLOB, "Played" CLOB, "Drawn" CLOB, "Lost" CLOB, "Points for" CLOB, "Points against" CLOB, "Tries for" CLOB, "Tries against" CLOB, "Try bonus" CLOB, "Losing bonus" CLOB, "Points" CLOB)
| what team lost the most points | SELECT "Lost" FROM table_5109 WHERE "Points" = 'points' | SELECT "Lost" FROM "table_5109" WHERE "Points" = 'points' | 0.055664 |
CREATE TABLE table_name_31 (college_junior_club_team VARCHAR2, position VARCHAR2, pick__number VARCHAR2)
| What College/junior/club team has a Position of centre, and pick is #22? | SELECT college_junior_club_team FROM table_name_31 WHERE position = "centre" AND pick__number = "22" | SELECT "college_junior_club_team" FROM "table_name_31" WHERE "22" = "pick__number" AND "centre" = "position" | 0.105469 |
CREATE TABLE table_51596 ("City" CLOB, "Country" CLOB, "IATA" CLOB, "ICAO" CLOB, "Airport" CLOB)
| Which city is Naples Airport located in? | SELECT "City" FROM table_51596 WHERE "Airport" = 'naples airport' | SELECT "City" FROM "table_51596" WHERE "Airport" = 'naples airport' | 0.06543 |
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