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CREATE TABLE table_name_8 (took_office VARCHAR2, governor VARCHAR2)
| Who took office under the government of Matthew E. Welsh? | SELECT took_office FROM table_name_8 WHERE governor = "matthew e. welsh" | SELECT "took_office" FROM "table_name_8" WHERE "governor" = "matthew e. welsh" | 0.076172 |
CREATE TABLE table_name_72 (district NUMBER, took_office VARCHAR2, party VARCHAR2, senator VARCHAR2)
| What is the district where Steve Carriker is the Democratic Senator and he took office later than 1988? | SELECT MAX(district) FROM table_name_72 WHERE party = "democratic" AND senator = "steve carriker" AND took_office > 1988 | SELECT MAX("district") FROM "table_name_72" WHERE "democratic" = "party" AND "senator" = "steve carriker" AND "took_office" > 1988 | 0.126953 |
CREATE TABLE table_name_95 (date VARCHAR2, time VARCHAR2)
| What date has 2:59 as the time? | SELECT date FROM table_name_95 WHERE time = "2:59" | SELECT "date" FROM "table_name_95" WHERE "2:59" = "time" | 0.054688 |
CREATE TABLE table_65257 ("Tie no" CLOB, "Home team" CLOB, "Score" CLOB, "Away team" CLOB, "Date" CLOB)
| Who is the home team when the away team is newcastle united? | SELECT "Home team" FROM table_65257 WHERE "Away team" = 'newcastle united' | SELECT "Home team" FROM "table_65257" WHERE "Away team" = 'newcastle united' | 0.074219 |
CREATE TABLE table_69098 ("Outcome" CLOB, "Date" CLOB, "Surface" CLOB, "Partnering" CLOB, "Opponents in the final" CLOB, "Score" CLOB)
| What was the outcome on May 18, 2008? | SELECT "Outcome" FROM table_69098 WHERE "Date" = 'may 18, 2008' | SELECT "Outcome" FROM "table_69098" WHERE "Date" = 'may 18, 2008' | 0.063477 |
CREATE TABLE table_26273 ("Name" CLOB, "Starting chip count" FLOAT, "WSOP bracelets" FLOAT, "WSOP cashes" FLOAT, "WSOP earnings" CLOB, "Final place" CLOB, "Prize" CLOB)
| Whose WSOP earnings were $36,372? | SELECT "Name" FROM table_26273 WHERE "WSOP earnings" = '$36,372' | SELECT "Name" FROM "table_26273" WHERE "WSOP earnings" = '$36,372' | 0.064453 |
CREATE TABLE table_name_65 (last_year VARCHAR2, first_year VARCHAR2, publisher VARCHAR2)
| When did the DC Comics title that debuted in 1937 end? | SELECT last_year FROM table_name_65 WHERE first_year = "1937" AND publisher = "dc comics" | SELECT "last_year" FROM "table_name_65" WHERE "1937" = "first_year" AND "dc comics" = "publisher" | 0.094727 |
CREATE TABLE table_name_52 (rank VARCHAR2, name VARCHAR2)
| What is the Rank of Qi Hui? | SELECT COUNT(rank) FROM table_name_52 WHERE name = "qi hui" | SELECT COUNT("rank") FROM "table_name_52" WHERE "name" = "qi hui" | 0.063477 |
CREATE TABLE table_40289 ("Week of" CLOB, "Tier" CLOB, "Winner" CLOB, "Runner-up" CLOB, "Semi finalists" CLOB)
| What is the Week when the winner was mary joe fern ndez 6 4, 7 5? | SELECT "Week of" FROM table_40289 WHERE "Winner" = 'mary joe fernández 6–4, 7–5' | SELECT "Week of" FROM "table_40289" WHERE "Winner" = 'mary joe fernández 6–4, 7–5' | 0.080078 |
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
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 admitted before the year 2198 are diagnosed with primary disease coronary artery disease\coronary artery bypass graft /sda? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.diagnosis = "CORONARY ARTERY DISEASE\CORONARY ARTERY BYPASS GRAFT /SDA" AND demographic.admityear < "2198" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "2198" > "demographic"."admityear" AND "CORONARY ARTERY DISEASE\CORONARY ARTERY BYPASS GRAFT /SDA" = "demographic"."diagnosis" | 0.196289 |
CREATE TABLE table_name_55 (status VARCHAR2, unit VARCHAR2)
| Which Status has a Unit of daohugou beds? | SELECT status FROM table_name_55 WHERE unit = "daohugou beds" | SELECT "status" FROM "table_name_55" WHERE "daohugou beds" = "unit" | 0.06543 |
CREATE TABLE table_name_62 (draft NUMBER, player VARCHAR2, pick VARCHAR2, round VARCHAR2)
| What is the lowest draft of player jim farrell, who has a pick greater than 197 and a round of 14? | SELECT MIN(draft) FROM table_name_62 WHERE pick > 197 AND round = 14 AND player = "jim farrell" | SELECT MIN("draft") FROM "table_name_62" WHERE "jim farrell" = "player" AND "pick" > 197 AND "round" = 14 | 0.102539 |
CREATE TABLE table_70651 ("Date" CLOB, "Opponent" CLOB, "Score" CLOB, "Loss" CLOB, "Attendance" FLOAT, "Record" CLOB)
| How low is the Attendance that has an Opponent of devil rays and a Date of may 13? | SELECT MIN("Attendance") FROM table_70651 WHERE "Opponent" = 'devil rays' AND "Date" = 'may 13' | SELECT MIN("Attendance") FROM "table_70651" WHERE "Date" = 'may 13' AND "Opponent" = 'devil rays' | 0.094727 |
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE 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)
| how many patients who were admitted before the year 2174 had the lab test potassium,urine done? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.admityear < "2174" AND lab.label = "Potassium, Urine" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "lab" ON "Potassium, Urine" = "lab"."label" AND "demographic"."hadm_id" = "lab"."hadm_id" WHERE "2174" > "demographic"."admityear" | 0.199219 |
CREATE TABLE table_43882 ("Place" CLOB, "Player" CLOB, "Country" CLOB, "Score" CLOB, "To par" CLOB)
| What is Score, when Player is 'Deane Beman'? | SELECT "Score" FROM table_43882 WHERE "Player" = 'deane beman' | SELECT "Score" FROM "table_43882" WHERE "Player" = 'deane beman' | 0.0625 |
CREATE TABLE table_70904 ("Director ( s ) " CLOB, "Writer ( s ) " CLOB, "Recipient" CLOB, "Date" CLOB, "Award" CLOB)
| Who was the writer when Parkville Pictures Ltd was the recipient? | SELECT "Writer(s)" FROM table_70904 WHERE "Recipient" = 'parkville pictures ltd' | SELECT "Writer(s)" FROM "table_70904" WHERE "Recipient" = 'parkville pictures ltd' | 0.080078 |
CREATE TABLE ship (ship_id NUMBER, name CLOB, type CLOB, nationality CLOB, tonnage NUMBER)
CREATE TABLE mission (mission_id NUMBER, ship_id NUMBER, code CLOB, launched_year NUMBER, location CLOB, speed_knots NUMBER, fate CLOB)
| what are the names of the ships ordered by ascending tonnage? | SELECT name FROM ship ORDER BY tonnage | SELECT "name" FROM "ship" ORDER BY "tonnage" | 0.042969 |
CREATE TABLE table_3391 ("January\\u2013December 2012" CLOB, "Birth/2012" FLOAT, "Birth/2011" FLOAT, "Death/2012" FLOAT, "Death/2011" FLOAT)
| What were the total number of 2012 births for the January December 2012 Tver Oblast region? | SELECT MIN("Birth/2012") FROM table_3391 WHERE "January\u2013December 2012" = 'Tver Oblast' | SELECT MIN("Birth/2012") FROM "table_3391" WHERE "January\u2013December 2012" = 'Tver Oblast' | 0.09082 |
CREATE TABLE table_77323 ("Season" CLOB, "Skip" CLOB, "Third" CLOB, "Second" CLOB, "Lead" CLOB)
| Which season has Zach Jacobson in third? | SELECT "Season" FROM table_77323 WHERE "Third" = 'zach jacobson' | SELECT "Season" FROM "table_77323" WHERE "Third" = 'zach jacobson' | 0.064453 |
CREATE TABLE table_name_80 (delivery VARCHAR2, name VARCHAR2)
| Which Delivery has a Name of quince? | SELECT delivery FROM table_name_80 WHERE name = "quince" | SELECT "delivery" FROM "table_name_80" WHERE "name" = "quince" | 0.060547 |
CREATE TABLE table_14005 ("Position" FLOAT, "Team" CLOB, "Played" FLOAT, "Wins" FLOAT, "Draws" FLOAT, "Losses" FLOAT, "Scored" FLOAT, "Conceded" FLOAT, "Points" FLOAT)
| How many points are in the scored category for the team that has less than 5 draws, 8 total wins, and total overall points less than 27? | SELECT COUNT("Scored") FROM table_14005 WHERE "Draws" < '5' AND "Wins" = '8' AND "Points" < '27' | SELECT COUNT("Scored") FROM "table_14005" WHERE "Draws" < '5' AND "Points" < '27' AND "Wins" = '8' | 0.095703 |
CREATE TABLE table_64086 ("Game" FLOAT, "Date" CLOB, "Opponents" CLOB, "Venue" CLOB, "Result" CLOB, "Score F\\u2013A" CLOB, "Attendance" FLOAT)
| What is the Attendance of Game 24? | SELECT SUM("Attendance") FROM table_64086 WHERE "Game" = '24' | SELECT SUM("Attendance") FROM "table_64086" WHERE "Game" = '24' | 0.061523 |
CREATE TABLE table_1108394_43 (brooklyn VARCHAR2, queens VARCHAR2)
| what's the brooklyn with queens value of 16.8% | SELECT brooklyn FROM table_1108394_43 WHERE queens = "16.8_percentage" | SELECT "brooklyn" FROM "table_1108394_43" WHERE "16.8_percentage" = "queens" | 0.074219 |
CREATE TABLE table_name_35 (celebrity VARCHAR2, exited VARCHAR2)
| Who was the celebrity who exited on day 13? | SELECT celebrity FROM table_name_35 WHERE exited = "day 13" | SELECT "celebrity" FROM "table_name_35" WHERE "day 13" = "exited" | 0.063477 |
CREATE TABLE school (School_ID NUMBER, Grade CLOB, School CLOB, Location CLOB, Type CLOB)
CREATE TABLE driver (Driver_ID NUMBER, Name CLOB, Party CLOB, Home_city CLOB, Age NUMBER)
CREATE TABLE school_bus (School_ID NUMBER, Driver_ID NUMBER, Years_Working NUMBER, If_full_time BOOLEAN)
| Show the party and the number of drivers in each party. Visualize by pie chart. | SELECT Party, COUNT(*) FROM driver GROUP BY Party | SELECT "Party", COUNT(*) FROM "driver" GROUP BY "Party" | 0.053711 |
CREATE TABLE table_name_44 (rank NUMBER, games VARCHAR2, points VARCHAR2)
| Which rank is the lowest with 37 games and more than 613 points? | SELECT MIN(rank) FROM table_name_44 WHERE games = 37 AND points > 613 | SELECT MIN("rank") FROM "table_name_44" WHERE "games" = 37 AND "points" > 613 | 0.075195 |
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 outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
CREATE TABLE chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE 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 cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
CREATE TABLE procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
CREATE TABLE 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 transfers (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, eventtype CLOB, careunit CLOB, wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
CREATE TABLE 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 labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE icustays (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, first_careunit CLOB, last_careunit CLOB, first_wardid NUMBER, last_wardid NUMBER, intime TIME, outtime TIME)
| patient 97677 underwent a renal epithelial cells test until 80 months ago? | SELECT COUNT(*) > 0 FROM labevents WHERE labevents.itemid IN (SELECT d_labitems.itemid FROM d_labitems WHERE d_labitems.label = 'renal epithelial cells') AND labevents.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 97677) AND DATETIME(labevents.charttime) <= DATETIME(CURRENT_TIME(), '-80 month') | WITH "_u_0" AS (SELECT "d_labitems"."itemid" FROM "d_labitems" WHERE "d_labitems"."label" = 'renal epithelial cells' GROUP BY "itemid"), "_u_1" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 97677 GROUP BY "hadm_id") SELECT COUNT(*) > 0 FROM "labevents" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "labevents"."itemid" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "labevents"."hadm_id" WHERE DATETIME("labevents"."charttime") <= DATETIME(CURRENT_TIME(), '-80 month') AND NOT "_u_0"."" IS NULL AND NOT "_u_1"."" IS NULL | 0.533203 |
CREATE TABLE table_67921 ("Date" CLOB, "Opponent" CLOB, "Score" CLOB, "Loss" CLOB, "Time" CLOB, "Att." CLOB, "Record" CLOB)
| What date shows a Loss of lilly (2 2)? | SELECT "Date" FROM table_67921 WHERE "Loss" = 'lilly (2–2)' | SELECT "Date" FROM "table_67921" WHERE "Loss" = 'lilly (2–2)' | 0.05957 |
CREATE TABLE comment_instructor (instructor_id NUMBER, student_id NUMBER, score NUMBER, comment_text 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 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 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_requirement (program_id NUMBER, category VARCHAR2, min_credit NUMBER, additional_req 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 semester (semester_id NUMBER, semester VARCHAR2, year NUMBER)
CREATE TABLE gsi (course_offering_id NUMBER, student_id NUMBER)
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 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 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 area (course_id NUMBER, area 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)
| This semester , which classes are prerequisites to most other ones ? | SELECT COUNT(DISTINCT course_prerequisite.course_id), course.department, course.name, course.number FROM course, course_offering, course_prerequisite, semester WHERE course.course_id = course_offering.course_id AND course.course_id = course_prerequisite.pre_course_id AND course.department = 'EECS' AND semester.semester = 'WN' AND semester.semester_id = course_offering.semester AND semester.year = 2016 GROUP BY course_prerequisite.pre_course_id ORDER BY COUNT(course_prerequisite.course_id) DESC | SELECT COUNT(DISTINCT "course_prerequisite"."course_id"), "course"."department", "course"."name", "course"."number" FROM "course" JOIN "course_offering" ON "course"."course_id" = "course_offering"."course_id" JOIN "course_prerequisite" ON "course"."course_id" = "course_prerequisite"."pre_course_id" JOIN "semester" ON "course_offering"."semester" = "semester"."semester_id" AND "semester"."semester" = 'WN' AND "semester"."year" = 2016 WHERE "course"."department" = 'EECS' GROUP BY "course_prerequisite"."pre_course_id" ORDER BY COUNT("course_prerequisite"."course_id") DESC | 0.561523 |
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 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 prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
| what is minimum days of hospital stay of patients whose year of birth is greater than 2200? | SELECT MIN(demographic.days_stay) FROM demographic WHERE demographic.dob_year > "2200" | SELECT MIN("demographic"."days_stay") FROM "demographic" WHERE "2200" < "demographic"."dob_year" | 0.09375 |
CREATE TABLE table_test_9 ("id" NUMBER, "ejection_fraction_ef" NUMBER, "anemia" BOOLEAN, "child_pugh_class" CLOB, "systolic_blood_pressure_sbp" NUMBER, "leukopenia" NUMBER, "heart_disease" BOOLEAN, "stroke" BOOLEAN, "av_block" BOOLEAN, "renal_disease" BOOLEAN, "hepatic_disease" BOOLEAN, "estimated_glomerular_filtration_rate_egfr" NUMBER, "thrombocytopenia" FLOAT, "hemodynamic_instability" BOOLEAN, "heart_rate" NUMBER, "malignancy" BOOLEAN, "pr" NUMBER, "plt" NUMBER, "NOUSE" FLOAT)
| systolic blood pressure < 120 mmhg, heart rate < 60 bpm, or av block ( pr > 240 ms or superior ) on diagnosis. | SELECT * FROM table_test_9 WHERE systolic_blood_pressure_sbp < 120 OR heart_rate < 60 OR av_block = 1 OR pr > 240 | SELECT * FROM "table_test_9" WHERE "av_block" = 1 OR "heart_rate" < 60 OR "pr" > 240 OR "systolic_blood_pressure_sbp" < 120 | 0.120117 |
CREATE TABLE locations (LOCATION_ID NUMBER, STREET_ADDRESS VARCHAR2, POSTAL_CODE VARCHAR2, CITY VARCHAR2, STATE_PROVINCE VARCHAR2, COUNTRY_ID VARCHAR2)
CREATE TABLE departments (DEPARTMENT_ID NUMBER, DEPARTMENT_NAME VARCHAR2, MANAGER_ID NUMBER, LOCATION_ID NUMBER)
CREATE TABLE regions (REGION_ID NUMBER, REGION_NAME VARCHAR2)
CREATE TABLE jobs (JOB_ID VARCHAR2, JOB_TITLE VARCHAR2, MIN_SALARY NUMBER, MAX_SALARY NUMBER)
CREATE TABLE 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 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)
| For those employees who do not work in departments with managers that have ids between 100 and 200, a bar chart shows the distribution of first_name and department_id , I want to order bars from low to high order please. | SELECT FIRST_NAME, DEPARTMENT_ID FROM employees WHERE NOT DEPARTMENT_ID IN (SELECT DEPARTMENT_ID FROM departments WHERE MANAGER_ID BETWEEN 100 AND 200) ORDER BY FIRST_NAME | SELECT "FIRST_NAME", "DEPARTMENT_ID" FROM "employees" WHERE NOT "DEPARTMENT_ID" IN (SELECT "DEPARTMENT_ID" FROM "departments" WHERE "MANAGER_ID" <= 200 AND "MANAGER_ID" >= 100) ORDER BY "FIRST_NAME" | 0.193359 |
CREATE TABLE table_name_29 (rank VARCHAR2, total VARCHAR2, silver VARCHAR2, bronze VARCHAR2)
| What is Rank, when Silver is less than 6, when Bronze is greater than 4, and when Total is 10? | SELECT rank FROM table_name_29 WHERE silver < 6 AND bronze > 4 AND total = 10 | SELECT "rank" FROM "table_name_29" WHERE "bronze" > 4 AND "silver" < 6 AND "total" = 10 | 0.084961 |
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE 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 procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
| count the number of patients whose admission location is clinic referral/premature and diagnoses short title is polymyalgia rheumatica? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.admission_location = "CLINIC REFERRAL/PREMATURE" AND diagnoses.short_title = "Polymyalgia rheumatica" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "Polymyalgia rheumatica" = "diagnoses"."short_title" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" WHERE "CLINIC REFERRAL/PREMATURE" = "demographic"."admission_location" | 0.257813 |
CREATE TABLE PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId NUMBER)
CREATE TABLE ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
CREATE TABLE Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
CREATE TABLE PostHistoryTypes (Id NUMBER, Name CLOB)
CREATE TABLE SuggestedEdits (Id NUMBER, PostId NUMBER, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId NUMBER, Comment CLOB, Text CLOB, Title CLOB, Tags CLOB, RevisionGUID other)
CREATE TABLE Posts (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE CloseAsOffTopicReasonTypes (Id NUMBER, IsUniversal BOOLEAN, InputTitle CLOB, MarkdownInputGuidance CLOB, MarkdownPostOwnerGuidance CLOB, MarkdownPrivilegedUserGuidance CLOB, MarkdownConcensusDescription CLOB, CreationDate TIME, CreationModeratorId NUMBER, ApprovalDate TIME, ApprovalModeratorId NUMBER, DeactivationDate TIME, DeactivationModeratorId NUMBER)
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 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 PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
CREATE TABLE ReviewTaskTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE VoteTypes (Id NUMBER, Name CLOB)
CREATE TABLE PostTags (PostId NUMBER, TagId NUMBER)
CREATE TABLE PostTypes (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 PendingFlags (Id NUMBER, FlagTypeId NUMBER, PostId NUMBER, CreationDate TIME, CloseReasonTypeId NUMBER, CloseAsOffTopicReasonTypeId NUMBER, DuplicateOfQuestionId NUMBER, BelongsOnBaseHostAddress CLOB)
CREATE TABLE Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
CREATE TABLE ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment CLOB)
CREATE TABLE ReviewTaskStates (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 ReviewTaskResultTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount NUMBER)
CREATE TABLE PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId 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 CloseReasonTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Comments (Id NUMBER, PostId NUMBER, Score NUMBER, Text CLOB, CreationDate TIME, UserDisplayName CLOB, UserId NUMBER, ContentLicense CLOB)
CREATE TABLE PostHistory (Id NUMBER, PostHistoryTypeId NUMBER, PostId NUMBER, RevisionGUID other, CreationDate TIME, UserId NUMBER, UserDisplayName CLOB, Comment CLOB, Text CLOB, ContentLicense CLOB)
CREATE TABLE FlagTypes (Id NUMBER, Name CLOB, Description CLOB)
| Select top 50k posts by view count. | SELECT * FROM Posts WHERE Posts.ViewCount < 14329 ORDER BY Posts.ViewCount DESC LIMIT 50000 | SELECT * FROM "Posts" WHERE "Posts"."ViewCount" < 14329 ORDER BY "Posts"."ViewCount" DESC FETCH FIRST 50000 ROWS ONLY | 0.114258 |
CREATE TABLE table_1341640_14 (candidates VARCHAR2, first_elected VARCHAR2)
| What candidates were featured in the 1974 election? | SELECT candidates FROM table_1341640_14 WHERE first_elected = 1974 | SELECT "candidates" FROM "table_1341640_14" WHERE "first_elected" = 1974 | 0.070313 |
CREATE TABLE table_name_90 (tournament VARCHAR2, score VARCHAR2)
| What tournament had a Score of 6 3, 2 6, [10 8]? | SELECT tournament FROM table_name_90 WHERE score = "6–3, 2–6, [10–8]" | SELECT "tournament" FROM "table_name_90" WHERE "6–3, 2–6, [10–8]" = "score" | 0.073242 |
CREATE TABLE table_51850 ("Date" CLOB, "Venue" CLOB, "Score" CLOB, "Result" CLOB, "Competition" CLOB)
| I want the venue for 23 july 1992 | SELECT "Venue" FROM table_51850 WHERE "Date" = '23 july 1992' | SELECT "Venue" FROM "table_51850" WHERE "Date" = '23 july 1992' | 0.061523 |
CREATE TABLE table_name_74 (storms__days_year_ VARCHAR2, fog__days_year_ VARCHAR2, sunshine__hrs_year_ VARCHAR2)
| What are the number of storms where fog is lower than 74, and sunshine is 2 668? | SELECT COUNT(storms__days_year_) FROM table_name_74 WHERE fog__days_year_ < 74 AND sunshine__hrs_year_ = "2 668" | SELECT COUNT("storms__days_year_") FROM "table_name_74" WHERE "2 668" = "sunshine__hrs_year_" AND "fog__days_year_" < 74 | 0.117188 |
CREATE TABLE Employees (Employee_ID NUMBER, Role_Code CHAR, Employee_Name VARCHAR2, Gender_MFU CHAR, Date_of_Birth DATETIME, Other_Details VARCHAR2)
CREATE TABLE Ref_Document_Types (Document_Type_Code CHAR, Document_Type_Name VARCHAR2, Document_Type_Description VARCHAR2)
CREATE TABLE All_Documents (Document_ID NUMBER, Date_Stored DATETIME, Document_Type_Code CHAR, Document_Name CHAR, Document_Description CHAR, Other_Details VARCHAR2)
CREATE TABLE Ref_Calendar (Calendar_Date DATETIME, Day_Number NUMBER)
CREATE TABLE Ref_Locations (Location_Code CHAR, Location_Name VARCHAR2, Location_Description VARCHAR2)
CREATE TABLE Roles (Role_Code CHAR, Role_Name VARCHAR2, Role_Description VARCHAR2)
CREATE TABLE Document_Locations (Document_ID NUMBER, Location_Code CHAR, Date_in_Location_From DATETIME, Date_in_Locaton_To DATETIME)
CREATE TABLE Documents_to_be_Destroyed (Document_ID NUMBER, Destruction_Authorised_by_Employee_ID NUMBER, Destroyed_by_Employee_ID NUMBER, Planned_Destruction_Date DATETIME, Actual_Destruction_Date DATETIME, Other_Details VARCHAR2)
| what is the code of each location and the number of documents in that location?, and rank in descending by the y-axis. | SELECT Location_Code, COUNT(*) FROM Document_Locations GROUP BY Location_Code ORDER BY COUNT(*) DESC | SELECT "Location_Code", COUNT(*) FROM "Document_Locations" GROUP BY "Location_Code" ORDER BY COUNT(*) DESC | 0.103516 |
CREATE TABLE stadium (ID NUMBER, name CLOB, Capacity NUMBER, City CLOB, Country CLOB, Opening_year NUMBER)
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 event (ID NUMBER, Name CLOB, Stadium_ID NUMBER, Year CLOB)
| Return a bar chart about the distribution of meter_300 and ID , I want to show from low to high by the y axis please. | SELECT meter_300, ID FROM swimmer ORDER BY ID | SELECT "meter_300", "ID" FROM "swimmer" ORDER BY "ID" | 0.051758 |
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)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
| what is minimum age of patients whose gender is f and admission type is newborn? | SELECT MIN(demographic.age) FROM demographic WHERE demographic.gender = "F" AND demographic.admission_type = "NEWBORN" | SELECT MIN("demographic"."age") FROM "demographic" WHERE "F" = "demographic"."gender" AND "NEWBORN" = "demographic"."admission_type" | 0.128906 |
CREATE TABLE table_143352_1 (accounting_closure_date NUMBER, agr_power_station VARCHAR2)
| What is the Closure date of Hunterston B | SELECT MIN(accounting_closure_date) FROM table_143352_1 WHERE agr_power_station = "Hunterston B" | SELECT MIN("accounting_closure_date") FROM "table_143352_1" WHERE "Hunterston B" = "agr_power_station" | 0.099609 |
CREATE TABLE table_name_31 (score VARCHAR2, venue VARCHAR2)
| Which Score has a Venue of idrottsparken? | SELECT score FROM table_name_31 WHERE venue = "idrottsparken" | SELECT "score" FROM "table_name_31" WHERE "idrottsparken" = "venue" | 0.06543 |
CREATE TABLE table_33544 ("Place" FLOAT, "Rider" CLOB, "Country" CLOB, "Machine" CLOB, "Speed" CLOB, "Time" CLOB, "Points" FLOAT)
| Which rider from the 1971 Isle of Man Junior TT 250cc final standings had a speed equal to 86.15mph? | SELECT "Rider" FROM table_33544 WHERE "Speed" = '86.15mph' | SELECT "Rider" FROM "table_33544" WHERE "Speed" = '86.15mph' | 0.058594 |
CREATE TABLE table_28234 ("No. in series" FLOAT, "No. in season" FLOAT, "Title" CLOB, "Directed by" CLOB, "Written by" CLOB, "Original air date" CLOB, "Production code" CLOB, "U.S. viewers ( million ) " CLOB)
| What is the title of the episode with the production code 3x5362? | SELECT "Title" FROM table_28234 WHERE "Production code" = '3X5362' | SELECT "Title" FROM "table_28234" WHERE "Production code" = '3X5362' | 0.066406 |
CREATE TABLE journal (Journal_ID NUMBER, Date CLOB, Theme CLOB, Sales NUMBER)
CREATE TABLE journal_committee (Editor_ID NUMBER, Journal_ID NUMBER, Work_Type CLOB)
CREATE TABLE editor (Editor_ID NUMBER, Name CLOB, Age FLOAT)
| Visualize a bar chart to show editors' names and their ages, I want to rank bars from high to low order. | SELECT Name, Age FROM editor ORDER BY Name DESC | SELECT "Name", "Age" FROM "editor" ORDER BY "Name" DESC | 0.053711 |
CREATE TABLE compartment_class (compartment VARCHAR2, class_type VARCHAR2)
CREATE TABLE flight_leg (flight_id NUMBER, leg_number NUMBER, leg_flight NUMBER)
CREATE TABLE dual_carrier (main_airline VARCHAR2, low_flight_number NUMBER, high_flight_number NUMBER, dual_airline VARCHAR2, service_name CLOB)
CREATE TABLE equipment_sequence (aircraft_code_sequence VARCHAR2, aircraft_code 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 time_interval (period CLOB, begin_time NUMBER, end_time NUMBER)
CREATE TABLE fare_basis (fare_basis_code CLOB, booking_class CLOB, class_type CLOB, premium CLOB, economy CLOB, discounted CLOB, night CLOB, season CLOB, basis_days CLOB)
CREATE TABLE city (city_code VARCHAR2, city_name VARCHAR2, state_code VARCHAR2, country_name VARCHAR2, time_zone_code VARCHAR2)
CREATE TABLE code_description (code VARCHAR2, description CLOB)
CREATE TABLE food_service (meal_code CLOB, meal_number NUMBER, compartment CLOB, meal_description VARCHAR2)
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 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 (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 days (days_code VARCHAR2, day_name VARCHAR2)
CREATE TABLE time_zone (time_zone_code CLOB, time_zone_name CLOB, hours_from_gmt NUMBER)
CREATE TABLE airline (airline_code VARCHAR2, airline_name CLOB, note CLOB)
CREATE TABLE class_of_service (booking_class VARCHAR2, rank NUMBER, class_description CLOB)
CREATE TABLE month (month_number NUMBER, month_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 airport_service (city_code VARCHAR2, airport_code VARCHAR2, miles_distant NUMBER, direction VARCHAR2, minutes_distant NUMBER)
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_fare (flight_id NUMBER, fare_id NUMBER)
CREATE TABLE aircraft (aircraft_code VARCHAR2, aircraft_description VARCHAR2, manufacturer VARCHAR2, basic_type VARCHAR2, engines NUMBER, propulsion VARCHAR2, wide_body VARCHAR2, wing_span NUMBER, length NUMBER, weight NUMBER, capacity NUMBER, pay_load NUMBER, cruising_speed NUMBER, range_miles NUMBER, pressurized VARCHAR2)
| is there a flight on AA from BOSTON to DENVER | SELECT DISTINCT flight.flight_id FROM airport_service AS AIRPORT_SERVICE_0, airport_service AS AIRPORT_SERVICE_1, city AS CITY_0, city AS CITY_1, flight WHERE (CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'DENVER' AND CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'BOSTON' AND flight.to_airport = AIRPORT_SERVICE_0.airport_code AND flight.from_airport = AIRPORT_SERVICE_1.airport_code) AND flight.airline_code = 'AA' | SELECT DISTINCT "flight"."flight_id" FROM "airport_service" "AIRPORT_SERVICE_0" JOIN "city" "CITY_0" ON "AIRPORT_SERVICE_0"."city_code" = "CITY_0"."city_code" AND "CITY_0"."city_name" = 'DENVER' JOIN "flight" ON "AIRPORT_SERVICE_0"."airport_code" = "flight"."to_airport" AND "flight"."airline_code" = 'AA' JOIN "airport_service" "AIRPORT_SERVICE_1" ON "AIRPORT_SERVICE_1"."airport_code" = "flight"."from_airport" JOIN "city" "CITY_1" ON "AIRPORT_SERVICE_1"."city_code" = "CITY_1"."city_code" AND "CITY_1"."city_name" = 'BOSTON' | 0.514648 |
CREATE TABLE table_72296 ("Episode" CLOB, "Song choice" CLOB, "Original artist" CLOB, "Order #" CLOB, "Result" CLOB)
| What was the result of the Top 3 episode? | SELECT "Result" FROM table_72296 WHERE "Episode" = 'Top 3' | SELECT "Result" FROM "table_72296" WHERE "Episode" = 'Top 3' | 0.058594 |
CREATE TABLE table_name_3 (date VARCHAR2, venue VARCHAR2)
| What date is the Victoria Park venue? | SELECT date FROM table_name_3 WHERE venue = "victoria park" | SELECT "date" FROM "table_name_3" WHERE "venue" = "victoria park" | 0.063477 |
CREATE TABLE intakeoutput (intakeoutputid NUMBER, patientunitstayid NUMBER, cellpath CLOB, celllabel CLOB, cellvaluenumeric NUMBER, intakeoutputtime TIME)
CREATE TABLE vitalperiodic (vitalperiodicid NUMBER, patientunitstayid NUMBER, temperature NUMBER, sao2 NUMBER, heartrate NUMBER, respiration NUMBER, systemicsystolic NUMBER, systemicdiastolic NUMBER, systemicmean NUMBER, observationtime TIME)
CREATE TABLE cost (costid NUMBER, uniquepid CLOB, patienthealthsystemstayid NUMBER, eventtype CLOB, eventid NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE 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 allergy (allergyid NUMBER, patientunitstayid NUMBER, drugname CLOB, allergyname CLOB, allergytime TIME)
CREATE TABLE lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime TIME)
CREATE TABLE microlab (microlabid NUMBER, patientunitstayid NUMBER, culturesite CLOB, organism CLOB, culturetakentime TIME)
CREATE TABLE treatment (treatmentid NUMBER, patientunitstayid NUMBER, treatmentname CLOB, treatmenttime TIME)
CREATE TABLE patient (uniquepid CLOB, patienthealthsystemstayid NUMBER, patientunitstayid NUMBER, gender CLOB, age CLOB, ethnicity CLOB, hospitalid NUMBER, wardid NUMBER, admissionheight NUMBER, admissionweight NUMBER, dischargeweight NUMBER, hospitaladmittime TIME, hospitaladmitsource CLOB, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus CLOB)
| what is the four most frequent drugs that were prescribed during the same hospital encounter to failure to wean female patients of age 40s after they have been diagnosed with failure to wean since 2104? | SELECT t3.drugname FROM (SELECT t2.drugname, DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS c1 FROM (SELECT patient.uniquepid, diagnosis.diagnosistime, patient.patienthealthsystemstayid FROM diagnosis JOIN patient ON diagnosis.patientunitstayid = patient.patientunitstayid WHERE diagnosis.diagnosisname = 'failure to wean' AND STRFTIME('%y', diagnosis.diagnosistime) >= '2104') AS t1 JOIN (SELECT patient.uniquepid, medication.drugname, medication.drugstarttime, patient.patienthealthsystemstayid FROM medication JOIN patient ON medication.patientunitstayid = patient.patientunitstayid WHERE patient.gender = 'female' AND patient.age BETWEEN 40 AND 49 AND STRFTIME('%y', medication.drugstarttime) >= '2104') AS t2 ON t1.uniquepid = t2.uniquepid WHERE t1.diagnosistime < t2.drugstarttime AND t1.patienthealthsystemstayid = t2.patienthealthsystemstayid GROUP BY t2.drugname) AS t3 WHERE t3.c1 <= 4 | WITH "t2" AS (SELECT "patient"."uniquepid", "medication"."drugname", "medication"."drugstarttime", "patient"."patienthealthsystemstayid" FROM "medication" JOIN "patient" ON "medication"."patientunitstayid" = "patient"."patientunitstayid" AND "patient"."age" <= 49 AND "patient"."age" >= 40 AND "patient"."gender" = 'female' WHERE STRFTIME('%y', "medication"."drugstarttime") >= '2104'), "t3" AS (SELECT "t2"."drugname", DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS "c1" FROM "diagnosis" JOIN "patient" ON "diagnosis"."patientunitstayid" = "patient"."patientunitstayid" JOIN "t2" "t2" ON "diagnosis"."diagnosistime" < "t2"."drugstarttime" AND "patient"."patienthealthsystemstayid" = "t2"."patienthealthsystemstayid" AND "patient"."uniquepid" = "t2"."uniquepid" WHERE "diagnosis"."diagnosisname" = 'failure to wean' AND STRFTIME('%y', "diagnosis"."diagnosistime") >= '2104' GROUP BY "t2"."drugname") SELECT "t3"."drugname" FROM "t3" "t3" WHERE "t3"."c1" <= 4 | 0.93457 |
CREATE TABLE table_13834 ("Rank" FLOAT, "Peak" CLOB, "Country" CLOB, "Island" CLOB, "Elevation ( m ) " FLOAT, "Prominence ( m ) " FLOAT, "Col ( m ) " FLOAT)
| How much Prominence (m) has an Elevation (m) of 2,797, and a Col (m) smaller than 0? | SELECT SUM("Prominence (m)") FROM table_13834 WHERE "Elevation (m)" = '2,797' AND "Col (m)" < '0' | SELECT SUM("Prominence (m)") FROM "table_13834" WHERE "Col (m)" < '0' AND "Elevation (m)" = '2,797' | 0.09668 |
CREATE TABLE table_203_761 (id NUMBER, "pos" NUMBER, "no" NUMBER, "driver" CLOB, "team" CLOB, "laps" NUMBER, "time/retired" CLOB, "grid" NUMBER, "points" NUMBER)
| what team were justin wilson and alex tagliani on ? | SELECT "team" FROM table_203_761 WHERE "driver" = 'justin wilson' | SELECT "team" FROM "table_203_761" WHERE "driver" = 'justin wilson' | 0.06543 |
CREATE TABLE table_10455 ("Swedish title" CLOB, "Norwegian title" CLOB, "Translated title" CLOB, "Published" CLOB, "Pages" FLOAT, "ISBN" CLOB)
| What is the Translated Title of Steinulven? | SELECT "Translated title" FROM table_10455 WHERE "Norwegian title" = 'steinulven' | SELECT "Translated title" FROM "table_10455" WHERE "Norwegian title" = 'steinulven' | 0.081055 |
CREATE TABLE table_name_59 (team VARCHAR2, pick NUMBER)
| WHAT TEAM HAS A PICK LARGER THAN 29? | SELECT team FROM table_name_59 WHERE pick > 29 | SELECT "team" FROM "table_name_59" WHERE "pick" > 29 | 0.050781 |
CREATE TABLE people (People_ID NUMBER, Sex CLOB, Name CLOB, Date_of_Birth CLOB, Height FLOAT, Weight FLOAT)
CREATE TABLE candidate (Candidate_ID NUMBER, People_ID NUMBER, Poll_Source CLOB, Date CLOB, Support_rate FLOAT, Consider_rate FLOAT, Oppose_rate FLOAT, Unsure_rate FLOAT)
| Show height vs weight as scatter plot use a different color for each Sex | SELECT Height, Weight FROM people GROUP BY Sex | SELECT "Height", "Weight" FROM "people" GROUP BY "Sex" | 0.052734 |
CREATE TABLE lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime TIME)
CREATE TABLE intakeoutput (intakeoutputid NUMBER, patientunitstayid NUMBER, cellpath CLOB, celllabel CLOB, cellvaluenumeric NUMBER, intakeoutputtime TIME)
CREATE TABLE medication (medicationid NUMBER, patientunitstayid NUMBER, drugname CLOB, dosage CLOB, routeadmin CLOB, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE microlab (microlabid NUMBER, patientunitstayid NUMBER, culturesite CLOB, organism CLOB, culturetakentime TIME)
CREATE TABLE treatment (treatmentid NUMBER, patientunitstayid NUMBER, treatmentname CLOB, treatmenttime TIME)
CREATE TABLE vitalperiodic (vitalperiodicid NUMBER, patientunitstayid NUMBER, temperature NUMBER, sao2 NUMBER, heartrate NUMBER, respiration NUMBER, systemicsystolic NUMBER, systemicdiastolic NUMBER, systemicmean NUMBER, observationtime TIME)
CREATE TABLE cost (costid NUMBER, uniquepid CLOB, patienthealthsystemstayid NUMBER, eventtype CLOB, eventid NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE allergy (allergyid NUMBER, patientunitstayid NUMBER, drugname CLOB, allergyname CLOB, allergytime TIME)
CREATE TABLE patient (uniquepid CLOB, patienthealthsystemstayid NUMBER, patientunitstayid NUMBER, gender CLOB, age CLOB, ethnicity CLOB, hospitalid NUMBER, wardid NUMBER, admissionheight NUMBER, admissionweight NUMBER, dischargeweight NUMBER, hospitaladmittime TIME, hospitaladmitsource CLOB, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus CLOB)
CREATE TABLE diagnosis (diagnosisid NUMBER, patientunitstayid NUMBER, diagnosisname CLOB, diagnosistime TIME, icd9code CLOB)
| what is the total amount of neo given to patient 030-47098 until 300 days ago? | SELECT SUM(intakeoutput.cellvaluenumeric) FROM intakeoutput WHERE intakeoutput.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '030-47098')) AND intakeoutput.celllabel = 'neo' AND intakeoutput.cellpath LIKE '%intake%' AND DATETIME(intakeoutput.intakeoutputtime) <= DATETIME(CURRENT_TIME(), '-300 day') | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '030-47098' 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 SUM("intakeoutput"."cellvaluenumeric") FROM "intakeoutput" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "intakeoutput"."patientunitstayid" WHERE "intakeoutput"."celllabel" = 'neo' AND "intakeoutput"."cellpath" LIKE '%intake%' AND DATETIME("intakeoutput"."intakeoutputtime") <= DATETIME(CURRENT_TIME(), '-300 day') AND NOT "_u_1"."" IS NULL | 0.678711 |
CREATE TABLE table_29619494_2 (sake_tuyas VARCHAR2, denim_demons VARCHAR2)
| What place did the Sake Tuyas come in when the Denim Demons were 4th? | SELECT sake_tuyas FROM table_29619494_2 WHERE denim_demons = "4th" | SELECT "sake_tuyas" FROM "table_29619494_2" WHERE "4th" = "denim_demons" | 0.070313 |
CREATE TABLE table_name_9 (genre VARCHAR2, year VARCHAR2, platform_s_ VARCHAR2)
| What is the genre for 2009 on Playstation 3? | SELECT genre FROM table_name_9 WHERE year > 2009 AND platform_s_ = "playstation 3" | SELECT "genre" FROM "table_name_9" WHERE "platform_s_" = "playstation 3" AND "year" > 2009 | 0.087891 |
CREATE TABLE medication (medicationid NUMBER, patientunitstayid NUMBER, drugname CLOB, dosage CLOB, routeadmin CLOB, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE vitalperiodic (vitalperiodicid NUMBER, patientunitstayid NUMBER, temperature NUMBER, sao2 NUMBER, heartrate NUMBER, respiration NUMBER, systemicsystolic NUMBER, systemicdiastolic NUMBER, systemicmean NUMBER, observationtime TIME)
CREATE TABLE treatment (treatmentid NUMBER, patientunitstayid NUMBER, treatmentname CLOB, treatmenttime TIME)
CREATE TABLE diagnosis (diagnosisid NUMBER, patientunitstayid NUMBER, diagnosisname CLOB, diagnosistime TIME, icd9code CLOB)
CREATE TABLE lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime TIME)
CREATE TABLE allergy (allergyid NUMBER, patientunitstayid NUMBER, drugname CLOB, allergyname CLOB, allergytime TIME)
CREATE TABLE intakeoutput (intakeoutputid NUMBER, patientunitstayid NUMBER, cellpath CLOB, celllabel CLOB, cellvaluenumeric NUMBER, intakeoutputtime TIME)
CREATE TABLE cost (costid NUMBER, uniquepid CLOB, patienthealthsystemstayid NUMBER, eventtype CLOB, eventid NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE 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)
| until 3 years ago, what are the top three most frequent specimen tests ordered for patients within 2 months after they have been diagnosed with sepsis - severe? | SELECT t3.culturesite FROM (SELECT t2.culturesite, DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS c1 FROM (SELECT patient.uniquepid, diagnosis.diagnosistime FROM diagnosis JOIN patient ON diagnosis.patientunitstayid = patient.patientunitstayid WHERE diagnosis.diagnosisname = 'sepsis - severe' AND DATETIME(diagnosis.diagnosistime) <= DATETIME(CURRENT_TIME(), '-3 year')) AS t1 JOIN (SELECT patient.uniquepid, microlab.culturesite, microlab.culturetakentime FROM microlab JOIN patient ON microlab.patientunitstayid = patient.patientunitstayid WHERE DATETIME(microlab.culturetakentime) <= DATETIME(CURRENT_TIME(), '-3 year')) AS t2 ON t1.uniquepid = t2.uniquepid WHERE t1.diagnosistime < t2.culturetakentime AND DATETIME(t2.culturetakentime) BETWEEN DATETIME(t1.diagnosistime) AND DATETIME(t1.diagnosistime, '+2 month') GROUP BY t2.culturesite) AS t3 WHERE t3.c1 <= 3 | WITH "t2" AS (SELECT "patient"."uniquepid", "microlab"."culturesite", "microlab"."culturetakentime" FROM "microlab" JOIN "patient" ON "microlab"."patientunitstayid" = "patient"."patientunitstayid" WHERE DATETIME("microlab"."culturetakentime") <= DATETIME(CURRENT_TIME(), '-3 year')), "t3" AS (SELECT "t2"."culturesite", DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS "c1" FROM "diagnosis" JOIN "patient" ON "diagnosis"."patientunitstayid" = "patient"."patientunitstayid" JOIN "t2" "t2" ON "diagnosis"."diagnosistime" < "t2"."culturetakentime" AND "patient"."uniquepid" = "t2"."uniquepid" AND DATETIME("diagnosis"."diagnosistime") <= DATETIME("t2"."culturetakentime") AND DATETIME("diagnosis"."diagnosistime", '+2 month') >= DATETIME("t2"."culturetakentime") WHERE "diagnosis"."diagnosisname" = 'sepsis - severe' AND DATETIME("diagnosis"."diagnosistime") <= DATETIME(CURRENT_TIME(), '-3 year') GROUP BY "t2"."culturesite") SELECT "t3"."culturesite" FROM "t3" "t3" WHERE "t3"."c1" <= 3 | 0.958984 |
CREATE TABLE region (Region_id NUMBER, Region_code CLOB, Region_name CLOB)
CREATE TABLE storm (Storm_ID NUMBER, Name CLOB, Dates_active CLOB, Max_speed NUMBER, Damage_millions_USD FLOAT, Number_Deaths NUMBER)
CREATE TABLE affected_region (Region_id NUMBER, Storm_ID NUMBER, Number_city_affected FLOAT)
| List the name for storms and the number of affected regions for each storm. Plot them as pie chart. | SELECT Name, COUNT(*) FROM storm AS T1 JOIN affected_region AS T2 ON T1.Storm_ID = T2.Storm_ID GROUP BY T1.Storm_ID | SELECT "Name", COUNT(*) FROM "storm" "T1" JOIN "affected_region" "T2" ON "T1"."Storm_ID" = "T2"."Storm_ID" GROUP BY "T1"."Storm_ID" | 0.12793 |
CREATE TABLE admissions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, admittime TIME, dischtime TIME, admission_type CLOB, admission_location CLOB, discharge_location CLOB, insurance CLOB, language CLOB, marital_status CLOB, ethnicity CLOB, age NUMBER)
CREATE TABLE d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
CREATE TABLE patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
CREATE TABLE prescriptions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, startdate TIME, enddate TIME, drug CLOB, dose_val_rx CLOB, dose_unit_rx CLOB, route CLOB)
CREATE TABLE transfers (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, eventtype CLOB, careunit CLOB, wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
CREATE TABLE inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
CREATE TABLE diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE icustays (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, first_careunit CLOB, last_careunit CLOB, first_wardid NUMBER, last_wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
CREATE TABLE cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
| when was patient 14110's last incision of mediastinum treatment? | SELECT procedures_icd.charttime FROM procedures_icd WHERE procedures_icd.icd9_code = (SELECT d_icd_procedures.icd9_code FROM d_icd_procedures WHERE d_icd_procedures.short_title = 'incision of mediastinum') AND procedures_icd.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 14110) ORDER BY procedures_icd.charttime DESC LIMIT 1 | WITH "_u_1" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 14110 GROUP BY "hadm_id") SELECT "procedures_icd"."charttime" FROM "procedures_icd" JOIN "d_icd_procedures" ON "d_icd_procedures"."icd9_code" = "procedures_icd"."icd9_code" AND "d_icd_procedures"."short_title" = 'incision of mediastinum' LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "procedures_icd"."hadm_id" WHERE NOT "_u_1"."" IS NULL ORDER BY "procedures_icd"."charttime" DESC FETCH FIRST 1 ROWS ONLY | 0.484375 |
CREATE TABLE table_58926 ("Rank" CLOB, "Gold" FLOAT, "Silver" FLOAT, "Bronze" FLOAT, "Total" FLOAT)
| What is the largest number of gold medals when the bronze medals is less than 49, and there is 22 silver medals, and the total is less than 60? | SELECT MAX("Gold") FROM table_58926 WHERE "Bronze" < '49' AND "Silver" = '22' AND "Total" < '60' | SELECT MAX("Gold") FROM "table_58926" WHERE "Bronze" < '49' AND "Silver" = '22' AND "Total" < '60' | 0.095703 |
CREATE TABLE table_77361 ("Place" CLOB, "Player" CLOB, "Country" CLOB, "Score" CLOB, "To par" CLOB, "Money ( $ ) " FLOAT)
| what is the most money ($) when the score is 71-74-69-72=286? | SELECT MAX("Money ( $ )") FROM table_77361 WHERE "Score" = '71-74-69-72=286' | SELECT MAX("Money ( $ )") FROM "table_77361" WHERE "Score" = '71-74-69-72=286' | 0.076172 |
CREATE TABLE table_name_82 (date VARCHAR2, result VARCHAR2, winner VARCHAR2, year VARCHAR2)
| Which date had a game with the New York Giants as the winner, year over 1985, and a result of 17-14? | SELECT date FROM table_name_82 WHERE winner = "new york giants" AND year > 1985 AND result = "17-14" | SELECT "date" FROM "table_name_82" WHERE "17-14" = "result" AND "new york giants" = "winner" AND "year" > 1985 | 0.107422 |
CREATE TABLE student (stuid NUMBER, lname CLOB, fname CLOB, age NUMBER, sex CLOB, major NUMBER, advisor NUMBER, city_code CLOB)
CREATE TABLE faculty_participates_in (facid NUMBER, actid NUMBER)
CREATE TABLE participates_in (stuid NUMBER, actid NUMBER)
CREATE TABLE activity (actid NUMBER, activity_name CLOB)
CREATE TABLE faculty (facid NUMBER, lname CLOB, fname CLOB, rank CLOB, sex CLOB, phone NUMBER, room CLOB, building CLOB)
| Find the number of activities available. | SELECT COUNT(*) FROM activity | SELECT COUNT(*) FROM "activity" | 0.030273 |
CREATE TABLE table_name_5 (first NUMBER, total VARCHAR2, gold VARCHAR2)
| What is the latest first year with 0 total medals and over 0 golds? | SELECT MAX(first) FROM table_name_5 WHERE total > 0 AND gold > 0 | SELECT MAX("first") FROM "table_name_5" WHERE "gold" > 0 AND "total" > 0 | 0.070313 |
CREATE TABLE table_name_14 (votes NUMBER, constituency VARCHAR2, spoilt VARCHAR2)
| WHAT IS THE AVERAGE VOTE FOR DUBLIN SOUTH, AND SPOILT SMALLER THAN 3,387? | SELECT AVG(votes) FROM table_name_14 WHERE constituency = "dublin south" AND spoilt < 3 OFFSET 387 | SELECT AVG("votes") FROM "table_name_14" WHERE "constituency" = "dublin south" AND "spoilt" < 3 OFFSET 387 ROWS | 0.108398 |
CREATE TABLE jobs (job_id NUMBER, job_title VARCHAR2, description VARCHAR2, requirement VARCHAR2, city VARCHAR2, state VARCHAR2, country VARCHAR2, zip NUMBER)
CREATE TABLE instructor (instructor_id NUMBER, name VARCHAR2, uniqname VARCHAR2)
CREATE TABLE semester (semester_id NUMBER, semester VARCHAR2, year NUMBER)
CREATE TABLE program_course (program_id NUMBER, course_id NUMBER, workload NUMBER, category VARCHAR2)
CREATE TABLE program_requirement (program_id NUMBER, category VARCHAR2, min_credit NUMBER, additional_req 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_prerequisite (pre_course_id NUMBER, course_id NUMBER)
CREATE TABLE offering_instructor (offering_instructor_id NUMBER, offering_id NUMBER, instructor_id NUMBER)
CREATE TABLE program (program_id NUMBER, name VARCHAR2, college VARCHAR2, introduction VARCHAR2)
CREATE TABLE course_offering (offering_id NUMBER, course_id NUMBER, semester NUMBER, section_number NUMBER, start_time TIME, end_time TIME, monday VARCHAR2, tuesday VARCHAR2, wednesday VARCHAR2, thursday VARCHAR2, friday VARCHAR2, saturday VARCHAR2, sunday VARCHAR2, has_final_project VARCHAR2, has_final_exam VARCHAR2, textbook VARCHAR2, class_address VARCHAR2, allow_audit VARCHAR2)
CREATE TABLE comment_instructor (instructor_id NUMBER, student_id NUMBER, score NUMBER, comment_text VARCHAR2)
CREATE TABLE ta (campus_job_id NUMBER, student_id NUMBER, location VARCHAR2)
CREATE TABLE course_tags_count (course_id NUMBER, clear_grading NUMBER, pop_quiz NUMBER, group_projects NUMBER, inspirational NUMBER, long_lectures NUMBER, extra_credit NUMBER, few_tests NUMBER, good_feedback NUMBER, tough_tests NUMBER, heavy_papers NUMBER, cares_for_students NUMBER, heavy_assignments NUMBER, respected NUMBER, participation NUMBER, heavy_reading NUMBER, tough_grader NUMBER, hilarious NUMBER, would_take_again NUMBER, good_lecture NUMBER, no_skip NUMBER)
CREATE TABLE requirement (requirement_id NUMBER, requirement VARCHAR2, college VARCHAR2)
CREATE TABLE gsi (course_offering_id NUMBER, student_id NUMBER)
CREATE TABLE student (student_id NUMBER, lastname VARCHAR2, firstname VARCHAR2, program_id NUMBER, declare_major VARCHAR2, total_credit NUMBER, total_gpa FLOAT, entered_as VARCHAR2, admit_term NUMBER, predicted_graduation_semester NUMBER, degree VARCHAR2, minor VARCHAR2, internship VARCHAR2)
CREATE TABLE area (course_id NUMBER, area 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)
| For 561 , which software courses are prerequisites ? | SELECT DISTINCT COURSE_0.department, COURSE_0.name, COURSE_0.number FROM course AS COURSE_0 INNER JOIN course_prerequisite ON COURSE_0.course_id = course_prerequisite.pre_course_id INNER JOIN course AS COURSE_1 ON COURSE_1.course_id = course_prerequisite.course_id INNER JOIN area ON COURSE_0.course_id = area.course_id WHERE area.area LIKE '%software%' AND COURSE_1.department = 'department0' AND COURSE_1.number = 561 | SELECT DISTINCT "COURSE_0"."department", "COURSE_0"."name", "COURSE_0"."number" FROM "course" "COURSE_0" JOIN "area" ON "COURSE_0"."course_id" = "area"."course_id" AND "area"."area" LIKE '%software%' 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" = 'department0' AND "COURSE_1"."number" = 561 | 0.442383 |
CREATE TABLE ship (Ship_ID NUMBER, Name CLOB, Type CLOB, Nationality CLOB, Tonnage NUMBER)
CREATE TABLE mission (Mission_ID NUMBER, Ship_ID NUMBER, Code CLOB, Launched_Year NUMBER, Location CLOB, Speed_knots NUMBER, Fate CLOB)
| Draw a bar chart showing the total number of every ship type by categorizing by nationality. | SELECT Type, COUNT(Type) FROM ship GROUP BY Nationality, Type | SELECT "Type", COUNT("Type") FROM "ship" GROUP BY "Nationality", "Type" | 0.069336 |
CREATE TABLE LOCATIONS (Address VARCHAR2, Location_Name VARCHAR2)
| What is the address of the location 'UK Gallery'? | SELECT Address FROM LOCATIONS WHERE Location_Name = "UK Gallery" | SELECT "Address" FROM "LOCATIONS" WHERE "Location_Name" = "UK Gallery" | 0.068359 |
CREATE TABLE table_50736 ("Game" FLOAT, "Date" CLOB, "Team" CLOB, "Score" CLOB, "High points" CLOB, "High rebounds" CLOB, "High assists" CLOB, "Location Attendance" CLOB, "Record" CLOB)
| What is High Rebounds, when High Assists is 'Delonte West (10)'? | SELECT "High rebounds" FROM table_50736 WHERE "High assists" = 'delonte west (10)' | SELECT "High rebounds" FROM "table_50736" WHERE "High assists" = 'delonte west (10)' | 0.082031 |
CREATE TABLE table_20656 ("Year" CLOB, "Total matches" FLOAT, "Total W-L-H" CLOB, "Singles W-L-H" CLOB, "Foursomes W-L-H" CLOB, "Fourballs W-L-H" CLOB, "Points won" CLOB, "Points %" CLOB)
| When the foursome was w-l-h is 1 0 0 won w/ p. creamer 3&2, what was the points %? | SELECT "Points %" FROM table_20656 WHERE "Foursomes W-L-H" = '1–0–0 won w/ P. Creamer 3&2' | SELECT "Points %" FROM "table_20656" WHERE "Foursomes W-L-H" = '1–0–0 won w/ P. Creamer 3&2' | 0.089844 |
CREATE TABLE table_16907214_1 (_number VARCHAR2, hardcover VARCHAR2)
| isbn 0-441-01400-3 is book number? | SELECT _number FROM table_16907214_1 WHERE hardcover = "ISBN 0-441-01400-3" | SELECT "_number" FROM "table_16907214_1" WHERE "ISBN 0-441-01400-3" = "hardcover" | 0.079102 |
CREATE TABLE enroll (class_code CLOB, stu_num NUMBER, enroll_grade CLOB)
CREATE TABLE class (class_code CLOB, crs_code CLOB, class_section CLOB, class_time CLOB, class_room CLOB, prof_num NUMBER)
CREATE TABLE student (stu_num NUMBER, stu_lname CLOB, stu_fname CLOB, stu_init CLOB, stu_dob TIME, stu_hrs NUMBER, stu_class CLOB, stu_gpa NUMBER, stu_transfer NUMBER, dept_code CLOB, stu_phone CLOB, prof_num NUMBER)
CREATE TABLE course (crs_code CLOB, dept_code CLOB, crs_description CLOB, crs_credit NUMBER)
CREATE TABLE employee (emp_num NUMBER, emp_lname CLOB, emp_fname CLOB, emp_initial CLOB, emp_jobcode CLOB, emp_hiredate TIME, emp_dob TIME)
CREATE TABLE professor (emp_num NUMBER, dept_code CLOB, prof_office CLOB, prof_extension CLOB, prof_high_degree CLOB)
CREATE TABLE department (dept_code CLOB, dept_name CLOB, school_code CLOB, emp_num NUMBER, dept_address CLOB, dept_extension CLOB)
| What are the first names of all Accounting professors who teach and what are the classrooms of the courses they teach? | SELECT T2.emp_fname, T1.class_room FROM class AS T1 JOIN employee AS T2 ON T1.prof_num = T2.emp_num JOIN professor AS T3 ON T2.emp_num = T3.emp_num JOIN department AS T4 ON T4.dept_code = T3.dept_code WHERE T4.dept_name = 'Accounting' | SELECT "T2"."emp_fname", "T1"."class_room" FROM "class" "T1" JOIN "employee" "T2" ON "T1"."prof_num" = "T2"."emp_num" JOIN "professor" "T3" ON "T2"."emp_num" = "T3"."emp_num" JOIN "department" "T4" ON "T3"."dept_code" = "T4"."dept_code" AND "T4"."dept_name" = 'Accounting' | 0.265625 |
CREATE TABLE time_interval (period CLOB, begin_time NUMBER, end_time NUMBER)
CREATE TABLE equipment_sequence (aircraft_code_sequence VARCHAR2, aircraft_code VARCHAR2)
CREATE TABLE airline (airline_code VARCHAR2, airline_name CLOB, note 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 time_zone (time_zone_code CLOB, time_zone_name CLOB, hours_from_gmt NUMBER)
CREATE TABLE flight_fare (flight_id NUMBER, fare_id NUMBER)
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 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 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)
CREATE TABLE food_service (meal_code CLOB, meal_number NUMBER, compartment CLOB, meal_description VARCHAR2)
CREATE TABLE state (state_code CLOB, state_name CLOB, country_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 month (month_number NUMBER, month_name CLOB)
CREATE TABLE date_day (month_number NUMBER, day_number NUMBER, year NUMBER, day_name VARCHAR2)
CREATE TABLE airport_service (city_code VARCHAR2, airport_code VARCHAR2, miles_distant NUMBER, direction VARCHAR2, minutes_distant NUMBER)
CREATE TABLE airport (airport_code VARCHAR2, airport_name CLOB, airport_location CLOB, state_code VARCHAR2, country_name VARCHAR2, time_zone_code VARCHAR2, minimum_connect_time NUMBER)
CREATE TABLE days (days_code VARCHAR2, day_name VARCHAR2)
CREATE TABLE dual_carrier (main_airline VARCHAR2, low_flight_number NUMBER, high_flight_number NUMBER, dual_airline VARCHAR2, service_name CLOB)
CREATE TABLE class_of_service (booking_class VARCHAR2, rank NUMBER, class_description CLOB)
CREATE TABLE code_description (code VARCHAR2, description CLOB)
CREATE TABLE compartment_class (compartment VARCHAR2, class_type VARCHAR2)
CREATE TABLE fare_basis (fare_basis_code CLOB, booking_class CLOB, class_type CLOB, premium CLOB, economy CLOB, discounted CLOB, night CLOB, season CLOB, basis_days CLOB)
CREATE TABLE ground_service (city_code CLOB, airport_code CLOB, transport_type CLOB, ground_fare 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)
| what are the FIRST class fares from DALLAS to BALTIMORE | SELECT DISTINCT fare.fare_id FROM airport_service AS AIRPORT_SERVICE_0, airport_service AS AIRPORT_SERVICE_1, city AS CITY_0, city AS CITY_1, fare, fare_basis, flight, flight_fare WHERE CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'DALLAS' AND CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'BALTIMORE' AND fare_basis.class_type = 'FIRST' AND fare.fare_basis_code = fare_basis.fare_basis_code AND flight_fare.fare_id = fare.fare_id AND flight.flight_id = flight_fare.flight_id AND flight.from_airport = AIRPORT_SERVICE_0.airport_code AND flight.to_airport = AIRPORT_SERVICE_1.airport_code | SELECT DISTINCT "fare"."fare_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" = 'DALLAS' JOIN "flight" ON "AIRPORT_SERVICE_0"."airport_code" = "flight"."from_airport" JOIN "airport_service" "AIRPORT_SERVICE_1" ON "AIRPORT_SERVICE_1"."airport_code" = "flight"."to_airport" JOIN "flight_fare" ON "flight"."flight_id" = "flight_fare"."flight_id" JOIN "city" "CITY_1" ON "AIRPORT_SERVICE_1"."city_code" = "CITY_1"."city_code" AND "CITY_1"."city_name" = 'BALTIMORE' JOIN "fare" ON "fare"."fare_id" = "flight_fare"."fare_id" JOIN "fare_basis" ON "fare"."fare_basis_code" = "fare_basis"."fare_basis_code" AND "fare_basis"."class_type" = 'FIRST' | 0.72168 |
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
| How many male patient ihave death status 0? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.gender = "M" AND demographic.expire_flag = "0" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "0" = "demographic"."expire_flag" AND "M" = "demographic"."gender" | 0.137695 |
CREATE TABLE table_17201869_3 (replaced_by VARCHAR2, outgoing_manager VARCHAR2)
| Who replaced outgoing manager Jos ngel Ziganda? | SELECT replaced_by FROM table_17201869_3 WHERE outgoing_manager = "José Ángel Ziganda" | SELECT "replaced_by" FROM "table_17201869_3" WHERE "José Ángel Ziganda" = "outgoing_manager" | 0.089844 |
CREATE TABLE table_name_48 (ring_name VARCHAR2, current_rank VARCHAR2)
| What is Ring Name, when Current Rank is E0 Maegashira 9 West? | SELECT ring_name FROM table_name_48 WHERE current_rank = "e0 maegashira 9 west" | SELECT "ring_name" FROM "table_name_48" WHERE "current_rank" = "e0 maegashira 9 west" | 0.083008 |
CREATE TABLE table_name_96 (lost NUMBER, played VARCHAR2, against VARCHAR2, drawn VARCHAR2, _percentage_won VARCHAR2)
| What is the lowest number of games lost that has less than 1 game drawn, a 50% winning percentage, against the netherlands, and over 2 played games? | SELECT MIN(lost) FROM table_name_96 WHERE drawn < 1 AND _percentage_won = "50%" AND against = "netherlands" AND played > 2 | SELECT MIN("lost") FROM "table_name_96" WHERE "50%" = "_percentage_won" AND "against" = "netherlands" AND "drawn" < 1 AND "played" > 2 | 0.130859 |
CREATE TABLE table_name_7 (artist VARCHAR2, draw VARCHAR2)
| Which Artist has a Draw of 6? | SELECT artist FROM table_name_7 WHERE draw = 6 | SELECT "artist" FROM "table_name_7" WHERE "draw" = 6 | 0.050781 |
CREATE TABLE table_38177 ("Round" CLOB, "Venue" CLOB, "Discipline" CLOB, "Date" CLOB, "Winner" CLOB, "Second" CLOB, "Third" CLOB)
| Who was third in round 14? | SELECT "Third" FROM table_38177 WHERE "Round" = '14' | SELECT "Third" FROM "table_38177" WHERE "Round" = '14' | 0.052734 |
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 prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
| count the number of patients whose days of hospital stay is greater than 1 and item id is 51257? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.days_stay > "1" AND lab.itemid = "51257" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "lab" ON "51257" = "lab"."itemid" AND "demographic"."hadm_id" = "lab"."hadm_id" WHERE "1" < "demographic"."days_stay" | 0.186523 |
CREATE TABLE table_23396 ("No. in series" CLOB, "No. in season" FLOAT, "Family/families" CLOB, "Location ( s ) " CLOB, "Original air date" CLOB)
| How many locations featured the Webb Family? | SELECT COUNT("Location(s)") FROM table_23396 WHERE "Family/families" = 'The Webb Family' | SELECT COUNT("Location(s)") FROM "table_23396" WHERE "Family/families" = 'The Webb Family' | 0.087891 |
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE 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)
| what number of patients whose procedure icd9 code is 4131 have their admission location as clinic referral/premature? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.admission_location = "CLINIC REFERRAL/PREMATURE" AND procedures.icd9_code = "4131" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "procedures" ON "4131" = "procedures"."icd9_code" AND "demographic"."hadm_id" = "procedures"."hadm_id" WHERE "CLINIC REFERRAL/PREMATURE" = "demographic"."admission_location" | 0.241211 |
CREATE TABLE job_history (EMPLOYEE_ID NUMBER, START_DATE DATE, END_DATE DATE, JOB_ID VARCHAR2, DEPARTMENT_ID NUMBER)
CREATE TABLE countries (COUNTRY_ID VARCHAR2, COUNTRY_NAME VARCHAR2, REGION_ID NUMBER)
CREATE TABLE regions (REGION_ID NUMBER, REGION_NAME VARCHAR2)
CREATE TABLE locations (LOCATION_ID NUMBER, STREET_ADDRESS VARCHAR2, POSTAL_CODE VARCHAR2, CITY VARCHAR2, STATE_PROVINCE VARCHAR2, COUNTRY_ID VARCHAR2)
CREATE TABLE jobs (JOB_ID VARCHAR2, JOB_TITLE VARCHAR2, MIN_SALARY NUMBER, MAX_SALARY 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)
| For those employees whose salary is in the range of 8000 and 12000 and commission is not null or department number does not equal to 40, draw a bar chart about the distribution of hire_date and the average of manager_id bin hire_date by weekday, and I want to order from low to high by the y axis. | SELECT HIRE_DATE, AVG(MANAGER_ID) FROM employees WHERE SALARY BETWEEN 8000 AND 12000 AND COMMISSION_PCT <> "null" OR DEPARTMENT_ID <> 40 ORDER BY AVG(MANAGER_ID) | SELECT "HIRE_DATE", AVG("MANAGER_ID") FROM "employees" WHERE ("COMMISSION_PCT" <> "null" OR "DEPARTMENT_ID" <> 40) AND ("DEPARTMENT_ID" <> 40 OR "SALARY" <= 12000) AND ("DEPARTMENT_ID" <> 40 OR "SALARY" >= 8000) ORDER BY AVG("MANAGER_ID") | 0.232422 |
CREATE TABLE table_32920 ("Res." CLOB, "Record" CLOB, "Opponent" CLOB, "Method" CLOB, "Round" FLOAT, "Time" CLOB, "Location" CLOB)
| What was the result when he went 1 round against jeremy beck? | SELECT "Res." FROM table_32920 WHERE "Round" = '1' AND "Opponent" = 'jeremy beck' | SELECT "Res." FROM "table_32920" WHERE "Opponent" = 'jeremy beck' AND "Round" = '1' | 0.081055 |
CREATE TABLE table_55272 ("Player" CLOB, "Position" CLOB, "School" CLOB, "Hometown" CLOB, "College" CLOB)
| What is the hometown for a college in Wisconsin? | SELECT "Hometown" FROM table_55272 WHERE "College" = 'wisconsin' | SELECT "Hometown" FROM "table_55272" WHERE "College" = 'wisconsin' | 0.064453 |
CREATE TABLE table_name_41 (code VARCHAR2, population NUMBER)
| What is the total code number for places with a population greater than 87,585? | SELECT COUNT(code) FROM table_name_41 WHERE population > 87 OFFSET 585 | SELECT COUNT("code") FROM "table_name_41" WHERE "population" > 87 OFFSET 585 ROWS | 0.079102 |
CREATE TABLE table_name_89 (rank VARCHAR2, bronze VARCHAR2, nation VARCHAR2)
| Which Rank has a Bronze of 1, and a Nation of lithuania? | SELECT rank FROM table_name_89 WHERE bronze = 1 AND nation = "lithuania" | SELECT "rank" FROM "table_name_89" WHERE "bronze" = 1 AND "lithuania" = "nation" | 0.078125 |
CREATE TABLE table_2436 ("Conference" CLOB, "Regular Season Winner" CLOB, "Conference Player of the Year" CLOB, "Conference Tournament" CLOB, "Tournament Venue ( City ) " CLOB, "Tournament Winner" CLOB)
| Where was the tourney when UCLA won the regular season? | SELECT "Tournament Venue (City)" FROM table_2436 WHERE "Regular Season Winner" = 'UCLA' | SELECT "Tournament Venue (City)" FROM "table_2436" WHERE "Regular Season Winner" = 'UCLA' | 0.086914 |
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
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)
| what is the number of patients whose admission year is less than 2139 and drug route is nu? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.admityear < "2139" AND prescriptions.route = "NU" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "prescriptions" ON "NU" = "prescriptions"."route" AND "demographic"."hadm_id" = "prescriptions"."hadm_id" WHERE "2139" > "demographic"."admityear" | 0.214844 |
CREATE TABLE table_name_94 (finish VARCHAR2, player VARCHAR2)
| Name the finish for lee janzen | SELECT finish FROM table_name_94 WHERE player = "lee janzen" | SELECT "finish" FROM "table_name_94" WHERE "lee janzen" = "player" | 0.064453 |
CREATE TABLE customers (customer_details VARCHAR2, customer_id VARCHAR2)
CREATE TABLE policies (customer_id VARCHAR2)
| Find the name of the customer that has been involved in the most policies. | SELECT t2.customer_details FROM policies AS t1 JOIN customers AS t2 ON t1.customer_id = t2.customer_id GROUP BY t2.customer_details ORDER BY COUNT(*) DESC LIMIT 1 | SELECT "t2"."customer_details" FROM "policies" "t1" JOIN "customers" "t2" ON "t1"."customer_id" = "t2"."customer_id" GROUP BY "t2"."customer_details" ORDER BY COUNT(*) DESC FETCH FIRST 1 ROWS ONLY | 0.191406 |
CREATE TABLE table_11394 ("State" CLOB, "Interview" FLOAT, "Swimsuit" FLOAT, "Evening Gown" FLOAT, "Average" FLOAT)
| Which smallest swimsuit number's interview was less than 8.574 when the average number was bigger than 8.532? | SELECT MIN("Swimsuit") FROM table_11394 WHERE "Interview" < '8.574' AND "Average" > '8.532' | SELECT MIN("Swimsuit") FROM "table_11394" WHERE "Average" > '8.532' AND "Interview" < '8.574' | 0.09082 |
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
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)
| what is age of subject id 2560? | SELECT demographic.age FROM demographic WHERE demographic.subject_id = "2560" | SELECT "demographic"."age" FROM "demographic" WHERE "2560" = "demographic"."subject_id" | 0.084961 |
CREATE TABLE table_72110 ("Rd" FLOAT, "Name" CLOB, "Pole Position" CLOB, "Fastest Lap" CLOB, "Winning driver" CLOB, "Winning team" CLOB, "Report" CLOB)
| Which Rd took place at the Indianapolis 500? | SELECT "Rd" FROM table_72110 WHERE "Name" = 'Indianapolis 500' | SELECT "Rd" FROM "table_72110" WHERE "Name" = 'Indianapolis 500' | 0.0625 |
CREATE TABLE table_name_66 (callsign VARCHAR2, frequency VARCHAR2)
| What callsign has 1300 as the frequency? | SELECT callsign FROM table_name_66 WHERE frequency = 1300 | SELECT "callsign" FROM "table_name_66" WHERE "frequency" = 1300 | 0.061523 |
CREATE TABLE table_20028 ("Date" CLOB, "Tournament" CLOB, "Location" CLOB, "Purse ( $ ) " FLOAT, "Winner" CLOB, "Score" CLOB, "1st Prize ( $ ) " CLOB)
| What day was the score 200 (-16)? | SELECT "Date" FROM table_20028 WHERE "Score" = '200 (-16)' | SELECT "Date" FROM "table_20028" WHERE "Score" = '200 (-16)' | 0.058594 |
CREATE TABLE table_63340 ("Rank" CLOB, "Rider" CLOB, "Horse" CLOB, "Nation" CLOB, "Judge E" CLOB, "Judge C" CLOB, "Judge M" CLOB, "Penalty Points" FLOAT)
| what is the horse that ranked 69? | SELECT "Horse" FROM table_63340 WHERE "Rank" = '69' | SELECT "Horse" FROM "table_63340" WHERE "Rank" = '69' | 0.051758 |
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