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CREATE TABLE table_name_50 (date VARCHAR2, total VARCHAR2)
| On what date was the total 25 45? | SELECT date FROM table_name_50 WHERE total = "25–45" | SELECT "date" FROM "table_name_50" WHERE "25–45" = "total" | 0.056641 |
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)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
| what is days of hospital stay of subject id 2560? | SELECT demographic.days_stay FROM demographic WHERE demographic.subject_id = "2560" | SELECT "demographic"."days_stay" FROM "demographic" WHERE "2560" = "demographic"."subject_id" | 0.09082 |
CREATE TABLE table_204_311 (id NUMBER, "rank" NUMBER, "nation" CLOB, "gold" NUMBER, "silver" NUMBER, "bronze" NUMBER, "total" NUMBER)
| which nation had as many silver medals as mexico and turkey combined ? | SELECT "nation" FROM table_204_311 WHERE "silver" = (SELECT SUM("silver") FROM table_204_311 WHERE "nation" IN ('mexico', 'turkey')) | SELECT "nation" FROM "table_204_311" WHERE "silver" = (SELECT SUM("silver") FROM "table_204_311" WHERE "nation" IN ('mexico', 'turkey')) | 0.132813 |
CREATE TABLE table_2081 ("Year" FLOAT, "Date" CLOB, "Driver" CLOB, "Team" CLOB, "Manufacturer" CLOB, "Laps" CLOB, "Miles ( km ) " CLOB, "Race Time" CLOB, "Average Speed ( mph ) " CLOB, "Report" CLOB)
| What year was the average speed 145.24 | SELECT MAX("Year") FROM table_2081 WHERE "Average Speed (mph)" = '145.24' | SELECT MAX("Year") FROM "table_2081" WHERE "Average Speed (mph)" = '145.24' | 0.073242 |
CREATE TABLE table_54207 ("Record" CLOB, "Date" CLOB, "Driver" CLOB, "Time" CLOB, "Speed/Avg. Speed" CLOB)
| Which driver set the Qualifying record with a time of 24.761 seconds? | SELECT "Driver" FROM table_54207 WHERE "Record" = 'qualifying' AND "Time" = '24.761' | SELECT "Driver" FROM "table_54207" WHERE "Record" = 'qualifying' AND "Time" = '24.761' | 0.083984 |
CREATE TABLE table_3526 ("Week #" CLOB, "Theme" CLOB, "Song choice" CLOB, "Original artist" CLOB, "Order #" CLOB, "Result" CLOB)
| What was the results for top 12? | SELECT "Result" FROM table_3526 WHERE "Week #" = 'Top 12' | SELECT "Result" FROM "table_3526" WHERE "Week #" = 'Top 12' | 0.057617 |
CREATE TABLE table_204_244 (id NUMBER, "year" NUMBER, "album" CLOB, "peak\ us" NUMBER, "peak\ us\ holiday" NUMBER, "certifications\ ( sales threshold ) " CLOB)
| what year comes after 1995 ? | SELECT "year" FROM table_204_244 WHERE "year" > 1995 ORDER BY "year" LIMIT 1 | SELECT "year" FROM "table_204_244" WHERE "year" > 1995 ORDER BY "year" FETCH FIRST 1 ROWS ONLY | 0.091797 |
CREATE TABLE table_name_6 (number_of_electorates__2009_ NUMBER, name VARCHAR2)
| What is the electorates in 2009 for Modi Nagar? | SELECT AVG(number_of_electorates__2009_) FROM table_name_6 WHERE name = "modi nagar" | SELECT AVG("number_of_electorates__2009_") FROM "table_name_6" WHERE "modi nagar" = "name" | 0.087891 |
CREATE TABLE table_name_71 (player VARCHAR2, country VARCHAR2, place VARCHAR2, score VARCHAR2)
| What player placed t6 for the United States with a score of 67-69=136? | SELECT player FROM table_name_71 WHERE country = "united states" AND place = "t6" AND score = 67 - 69 = 136 | SELECT "player" FROM "table_name_71" WHERE "country" = "united states" AND "place" = "t6" AND "score" = FALSE | 0.106445 |
CREATE TABLE table_204_688 (id NUMBER, "name" CLOB, "red vs. blue" CLOB, "couples team" CLOB, "status" CLOB, "weight" CLOB, "total votes" NUMBER)
| who was the last contestant to be voted out in week 7 ? | SELECT "name" FROM table_204_688 ORDER BY id DESC LIMIT 1 | SELECT "name" FROM "table_204_688" ORDER BY "id" DESC FETCH FIRST 1 ROWS ONLY | 0.075195 |
CREATE TABLE table_54453 ("Pick" FLOAT, "Player" CLOB, "Country of origin*" CLOB, "PBA team" CLOB, "College" CLOB)
| What PBA team is the player from Ateneo college with a pick number smaller than 15 from? | SELECT "PBA team" FROM table_54453 WHERE "Pick" < '15' AND "College" = 'ateneo' | SELECT "PBA team" FROM "table_54453" WHERE "College" = 'ateneo' AND "Pick" < '15' | 0.079102 |
CREATE TABLE table_name_27 (nation VARCHAR2, silver VARCHAR2, rank VARCHAR2)
| What nation has more than 0 silver medals and is ranked 1? | SELECT nation FROM table_name_27 WHERE silver > 0 AND rank = "1" | SELECT "nation" FROM "table_name_27" WHERE "1" = "rank" AND "silver" > 0 | 0.070313 |
CREATE TABLE locations (LOCATION_ID NUMBER, STREET_ADDRESS VARCHAR2, POSTAL_CODE VARCHAR2, CITY VARCHAR2, STATE_PROVINCE VARCHAR2, COUNTRY_ID VARCHAR2)
CREATE TABLE jobs (JOB_ID VARCHAR2, JOB_TITLE VARCHAR2, MIN_SALARY NUMBER, MAX_SALARY NUMBER)
CREATE TABLE job_history (EMPLOYEE_ID NUMBER, START_DATE DATE, END_DATE DATE, JOB_ID VARCHAR2, DEPARTMENT_ID NUMBER)
CREATE TABLE regions (REGION_ID NUMBER, REGION_NAME VARCHAR2)
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 departments (DEPARTMENT_ID NUMBER, DEPARTMENT_NAME VARCHAR2, MANAGER_ID NUMBER, LOCATION_ID NUMBER)
CREATE TABLE countries (COUNTRY_ID VARCHAR2, COUNTRY_NAME VARCHAR2, REGION_ID NUMBER)
| For those employees who was hired before 2002-06-21, give me the comparison about the sum of department_id over the job_id , and group by attribute job_id, and display by the total number of department id from high to low. | SELECT JOB_ID, SUM(DEPARTMENT_ID) FROM employees WHERE HIRE_DATE < '2002-06-21' GROUP BY JOB_ID ORDER BY SUM(DEPARTMENT_ID) DESC | SELECT "JOB_ID", SUM("DEPARTMENT_ID") FROM "employees" WHERE "HIRE_DATE" < '2002-06-21' GROUP BY "JOB_ID" ORDER BY SUM("DEPARTMENT_ID") DESC | 0.136719 |
CREATE TABLE table_204_130 (id NUMBER, "#" NUMBER, "date" CLOB, "venue" CLOB, "opponent" CLOB, "score" CLOB, "result" CLOB, "competition" CLOB)
| how many times is the venue located in brazil ? | SELECT COUNT(*) FROM table_204_130 WHERE "venue" = 'brazil' | SELECT COUNT(*) FROM "table_204_130" WHERE "venue" = 'brazil' | 0.05957 |
CREATE TABLE table_name_58 (country VARCHAR2, player VARCHAR2)
| Which country has the player Johnny Miller? | SELECT country FROM table_name_58 WHERE player = "johnny miller" | SELECT "country" FROM "table_name_58" WHERE "johnny miller" = "player" | 0.068359 |
CREATE TABLE table_61614 ("Opposing Teams" CLOB, "Against" FLOAT, "Date" CLOB, "Venue" CLOB, "Status" CLOB)
| What is the lowest against team in the Six Nations status in Lansdowne Road, Dublin? | SELECT MIN("Against") FROM table_61614 WHERE "Status" = 'six nations' AND "Venue" = 'lansdowne road, dublin' | SELECT MIN("Against") FROM "table_61614" WHERE "Status" = 'six nations' AND "Venue" = 'lansdowne road, dublin' | 0.107422 |
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
| provide the number of patients whose diagnoses short title is resp prob after brth nec? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE diagnoses.short_title = "Resp prob after brth NEC" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "Resp prob after brth NEC" = "diagnoses"."short_title" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" | 0.19043 |
CREATE TABLE offering_instructor (offering_instructor_id NUMBER, offering_id NUMBER, instructor_id NUMBER)
CREATE TABLE requirement (requirement_id NUMBER, requirement VARCHAR2, college 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 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_prerequisite (pre_course_id NUMBER, course_id NUMBER)
CREATE TABLE ta (campus_job_id NUMBER, student_id NUMBER, location VARCHAR2)
CREATE TABLE semester (semester_id NUMBER, semester VARCHAR2, year NUMBER)
CREATE TABLE area (course_id NUMBER, area VARCHAR2)
CREATE TABLE instructor (instructor_id NUMBER, name VARCHAR2, uniqname 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 comment_instructor (instructor_id NUMBER, student_id NUMBER, score NUMBER, comment_text VARCHAR2)
CREATE TABLE course_tags_count (course_id NUMBER, clear_grading NUMBER, pop_quiz NUMBER, group_projects NUMBER, inspirational NUMBER, long_lectures NUMBER, extra_credit NUMBER, few_tests NUMBER, good_feedback NUMBER, tough_tests NUMBER, heavy_papers NUMBER, cares_for_students NUMBER, heavy_assignments NUMBER, respected NUMBER, participation NUMBER, heavy_reading NUMBER, tough_grader NUMBER, hilarious NUMBER, would_take_again NUMBER, good_lecture NUMBER, no_skip NUMBER)
CREATE TABLE jobs (job_id NUMBER, job_title VARCHAR2, description VARCHAR2, requirement VARCHAR2, city VARCHAR2, state VARCHAR2, country VARCHAR2, zip NUMBER)
CREATE TABLE 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 (program_id NUMBER, name VARCHAR2, college VARCHAR2, introduction VARCHAR2)
CREATE TABLE program_requirement (program_id NUMBER, category VARCHAR2, min_credit NUMBER, additional_req VARCHAR2)
CREATE TABLE program_course (program_id NUMBER, course_id NUMBER, workload NUMBER, category VARCHAR2)
| What course requirements does REES 395 have ? | 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 = 'REES' AND COURSE_1.number = 395 | 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" = 'REES' AND "COURSE_1"."number" = 395 WHERE "_u_0"."" IS NULL | 0.59375 |
CREATE TABLE table_42395 ("Year ( Ceremony ) " CLOB, "Film title used in nomination" CLOB, "Original title" CLOB, "Director" CLOB, "Result" CLOB)
| What is the Result of the 2010 (83rd) Ceremony? | SELECT "Result" FROM table_42395 WHERE "Year (Ceremony)" = '2010 (83rd)' | SELECT "Result" FROM "table_42395" WHERE "Year (Ceremony)" = '2010 (83rd)' | 0.072266 |
CREATE TABLE cost (costid NUMBER, uniquepid CLOB, patienthealthsystemstayid NUMBER, eventtype CLOB, eventid NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime TIME)
CREATE TABLE microlab (microlabid NUMBER, patientunitstayid NUMBER, culturesite CLOB, organism CLOB, culturetakentime TIME)
CREATE TABLE diagnosis (diagnosisid NUMBER, patientunitstayid NUMBER, diagnosisname CLOB, diagnosistime TIME, icd9code CLOB)
CREATE TABLE allergy (allergyid NUMBER, patientunitstayid NUMBER, drugname CLOB, allergyname CLOB, allergytime TIME)
CREATE TABLE vitalperiodic (vitalperiodicid NUMBER, patientunitstayid NUMBER, temperature NUMBER, sao2 NUMBER, heartrate NUMBER, respiration NUMBER, systemicsystolic NUMBER, systemicdiastolic NUMBER, systemicmean NUMBER, observationtime TIME)
CREATE TABLE medication (medicationid NUMBER, patientunitstayid NUMBER, drugname CLOB, dosage CLOB, routeadmin CLOB, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE patient (uniquepid CLOB, patienthealthsystemstayid NUMBER, patientunitstayid NUMBER, gender CLOB, age CLOB, ethnicity CLOB, hospitalid NUMBER, wardid NUMBER, admissionheight NUMBER, admissionweight NUMBER, dischargeweight NUMBER, hospitaladmittime TIME, hospitaladmitsource CLOB, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus CLOB)
CREATE TABLE treatment (treatmentid NUMBER, patientunitstayid NUMBER, treatmentname CLOB, treatmenttime TIME)
CREATE TABLE intakeoutput (intakeoutputid NUMBER, patientunitstayid NUMBER, cellpath CLOB, celllabel CLOB, cellvaluenumeric NUMBER, intakeoutputtime TIME)
| what was the number of aneurysm resection / repair procedures that were performed a year before? | SELECT COUNT(*) FROM treatment WHERE treatment.treatmentname = 'aneurysm resection / repair' AND DATETIME(treatment.treatmenttime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year') | SELECT COUNT(*) FROM "treatment" WHERE "treatment"."treatmentname" = 'aneurysm resection / repair' AND DATETIME("treatment"."treatmenttime", 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year') | 0.207031 |
CREATE TABLE table_39183 ("Game" FLOAT, "Date" CLOB, "Opponent" CLOB, "Score" CLOB, "Series" CLOB)
| Which Opponent has a Series of bruins lead 2 1? | SELECT "Opponent" FROM table_39183 WHERE "Series" = 'bruins lead 2–1' | SELECT "Opponent" FROM "table_39183" WHERE "Series" = 'bruins lead 2–1' | 0.069336 |
CREATE TABLE table_24519 ("Period" FLOAT, "Civilians" CLOB, "Security forces" CLOB, "Insurgents" CLOB, "Total per period" FLOAT)
| What are the security forces when the civilians are 202? | SELECT "Security forces" FROM table_24519 WHERE "Civilians" = '202' | SELECT "Security forces" FROM "table_24519" WHERE "Civilians" = '202' | 0.067383 |
CREATE TABLE table_16988 ("Institution" CLOB, "Location" CLOB, "Founded" FLOAT, "Type" CLOB, "Enrollment" FLOAT, "Joined" CLOB, "Nickname" CLOB)
| what are the locations that joined in 2008 | SELECT "Location" FROM table_16988 WHERE "Joined" = '2008' | SELECT "Location" FROM "table_16988" WHERE "Joined" = '2008' | 0.058594 |
CREATE TABLE table_65955 ("School" CLOB, "Location" CLOB, "Mascot" CLOB, "Enrollment 08-09" FLOAT, "IHSAA Class / Football Class" CLOB, "County" CLOB, "Year Joined" FLOAT, "Previous Conference" CLOB, "Year Left" FLOAT, "Conference Joined" CLOB)
| Which mascot has an IHSAA Class and Football class of 2A/2A? | SELECT "Mascot" FROM table_65955 WHERE "IHSAA Class / Football Class" = '2a/2a' | SELECT "Mascot" FROM "table_65955" WHERE "IHSAA Class / Football Class" = '2a/2a' | 0.079102 |
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 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)
| find out the procedure icd9 code and death status of patient with patient id 8440. | SELECT demographic.expire_flag, procedures.icd9_code FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.subject_id = "8440" | SELECT "demographic"."expire_flag", "procedures"."icd9_code" FROM "demographic" JOIN "procedures" ON "demographic"."hadm_id" = "procedures"."hadm_id" WHERE "8440" = "demographic"."subject_id" | 0.186523 |
CREATE TABLE Student (StuID NUMBER, LName VARCHAR2, Fname VARCHAR2, Age NUMBER, Sex VARCHAR2, Major NUMBER, Advisor NUMBER, city_code VARCHAR2)
CREATE TABLE Has_Allergy (StuID NUMBER, Allergy VARCHAR2)
CREATE TABLE Allergy_Type (Allergy VARCHAR2, AllergyType VARCHAR2)
| Show the average age for male and female students with a bar chart, rank by the mean age in descending. | SELECT Sex, AVG(Age) FROM Student GROUP BY Sex ORDER BY AVG(Age) DESC | SELECT "Sex", AVG("Age") FROM "Student" GROUP BY "Sex" ORDER BY AVG("Age") DESC | 0.077148 |
CREATE TABLE table_204_756 (id NUMBER, "year" NUMBER, "team" CLOB, "games" NUMBER, "combined tackles" NUMBER, "tackles" NUMBER, "assisted tackles" NUMBER, "sacks" NUMBER, "forced fumbles" NUMBER, "fumble recoveries" NUMBER, "fumble return yards" NUMBER, "interceptions" NUMBER, "interception return yards" NUMBER, "yards per interception return" NUMBER, "longest interception return" NUMBER, "interceptions returned for touchdown" NUMBER, "passes defended" NUMBER)
| what is the only season he has fewer than three sacks ? | SELECT "year" FROM table_204_756 WHERE "sacks" < 3 | SELECT "year" FROM "table_204_756" WHERE "sacks" < 3 | 0.050781 |
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
| what is the maximum age of male patients diagnosed with primary disease overdose? | SELECT MAX(demographic.age) FROM demographic WHERE demographic.gender = "M" AND demographic.diagnosis = "OVERDOSE" | SELECT MAX("demographic"."age") FROM "demographic" WHERE "M" = "demographic"."gender" AND "OVERDOSE" = "demographic"."diagnosis" | 0.125 |
CREATE TABLE Products (Code NUMBER, Name VARCHAR2, Price NUMBER, Manufacturer NUMBER)
CREATE TABLE Manufacturers (Code NUMBER, Name VARCHAR2, Headquarter VARCHAR2, Founder VARCHAR2, Revenue FLOAT)
| A bar chart about what are the average prices of products, grouped by manufacturer name?, I want to rank by the names in descending. | SELECT T2.Name, AVG(T1.Price) FROM Products AS T1 JOIN Manufacturers AS T2 ON T1.Manufacturer = T2.Code GROUP BY T2.Name ORDER BY T2.Name DESC | SELECT "T2"."Name", AVG("T1"."Price") FROM "Products" "T1" JOIN "Manufacturers" "T2" ON "T1"."Manufacturer" = "T2"."Code" GROUP BY "T2"."Name" ORDER BY "T2"."Name" DESC | 0.164063 |
CREATE TABLE table_5217 ("Variant id" CLOB, "5pars_m_singleUTR splice" CLOB, "Coding" CLOB, "3pars_m_singleUTR sequence" CLOB, "GenBank id" CLOB)
| What was the 3 UTR sequence when Coding was 6a 3 and the GenBank id is nm_001093770.2? | SELECT "3\u2019UTR sequence" FROM table_5217 WHERE "Coding" = '6a 3' AND "GenBank id" = 'nm_001093770.2' | SELECT "3\u2019UTR sequence" FROM "table_5217" WHERE "Coding" = '6a 3' AND "GenBank id" = 'nm_001093770.2' | 0.103516 |
CREATE TABLE table_name_77 (sound VARCHAR2, producer_executive_producer VARCHAR2)
| Who was the sound producer that worked under Executive Producer JL? | SELECT sound FROM table_name_77 WHERE producer_executive_producer = "jl" | SELECT "sound" FROM "table_name_77" WHERE "jl" = "producer_executive_producer" | 0.076172 |
CREATE TABLE table_79182 ("Place" CLOB, "Player" CLOB, "Country" CLOB, "Score" CLOB, "To par" CLOB)
| Who is the golfer that golfs for Northern Ireland? | SELECT "Player" FROM table_79182 WHERE "Country" = 'northern ireland' | SELECT "Player" FROM "table_79182" WHERE "Country" = 'northern ireland' | 0.069336 |
CREATE TABLE table_56434 ("Tournament" CLOB, "1989" CLOB, "1990" CLOB, "1991" CLOB, "1992" CLOB, "1993" CLOB, "1994" CLOB, "1995" CLOB, "1996" CLOB, "1997" CLOB, "1998" CLOB, "1999" CLOB, "2000" CLOB, "2001" CLOB, "2002" CLOB, "2003" CLOB, "2004" CLOB, "2005" CLOB)
| what 2001 has 1991 of 4r? | SELECT "2001" FROM table_56434 WHERE "1991" = '4r' | SELECT "2001" FROM "table_56434" WHERE "1991" = '4r' | 0.050781 |
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 diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
| give me the number of patients whose marital status is married and lab test name is bilirubin, indirect? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.marital_status = "MARRIED" AND lab.label = "Bilirubin, Indirect" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "lab" ON "Bilirubin, Indirect" = "lab"."label" AND "demographic"."hadm_id" = "lab"."hadm_id" WHERE "MARRIED" = "demographic"."marital_status" | 0.209961 |
CREATE TABLE table_78818 ("Week" FLOAT, "Date" CLOB, "Opponent" CLOB, "Result" CLOB, "Kickoff Time" CLOB, "Attendance" CLOB)
| What is the result of the game with 57,234 people in attendance? | SELECT "Result" FROM table_78818 WHERE "Attendance" = '57,234' | SELECT "Result" FROM "table_78818" WHERE "Attendance" = '57,234' | 0.0625 |
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
| what is minimum age of patients whose death status is 0 and primary disease is morbid obesity/sda? | SELECT MIN(demographic.age) FROM demographic WHERE demographic.expire_flag = "0" AND demographic.diagnosis = "MORBID OBESITY/SDA" | SELECT MIN("demographic"."age") FROM "demographic" WHERE "0" = "demographic"."expire_flag" AND "MORBID OBESITY/SDA" = "demographic"."diagnosis" | 0.139648 |
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 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)
| how many of the patients diagnosed with icd9 code 5180 had abnormal lab test results? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE diagnoses.icd9_code = "5180" AND lab.flag = "abnormal" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "5180" = "diagnoses"."icd9_code" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" JOIN "lab" ON "abnormal" = "lab"."flag" AND "demographic"."hadm_id" = "lab"."hadm_id" | 0.25293 |
CREATE TABLE table_55719 ("Home team" CLOB, "Home team score" CLOB, "Away team" CLOB, "Away team score" CLOB, "Venue" CLOB, "Crowd" FLOAT, "Date" CLOB)
| What was the venue of the Melbourne team? | SELECT "Venue" FROM table_55719 WHERE "Home team" = 'melbourne' | SELECT "Venue" FROM "table_55719" WHERE "Home team" = 'melbourne' | 0.063477 |
CREATE TABLE table_name_4 (champion_s_ VARCHAR2, previous_champion_s_ VARCHAR2)
| Who is the champion of the title previously held by Lash? | SELECT champion_s_ FROM table_name_4 WHERE previous_champion_s_ = "lash" | SELECT "champion_s_" FROM "table_name_4" WHERE "lash" = "previous_champion_s_" | 0.076172 |
CREATE TABLE table_73626 ("Year" FLOAT, "Tournament" CLOB, "Winner" CLOB, "Margin of victory" CLOB, "Winners share ( $ ) " FLOAT, "Par" FLOAT, "Course length" CLOB)
| When hale irwin is the winner what is the margin of victory? | SELECT "Margin of victory" FROM table_73626 WHERE "Winner" = 'Hale Irwin' | SELECT "Margin of victory" FROM "table_73626" WHERE "Winner" = 'Hale Irwin' | 0.073242 |
CREATE TABLE table_name_6 (seats NUMBER, general_election VARCHAR2, share_of_votes VARCHAR2, share_of_seats VARCHAR2)
| Which Seatshave a Share of votes of 18%, and a Share of seats of 3%, and a General election smaller than 1992? | SELECT MIN(seats) FROM table_name_6 WHERE share_of_votes = "18%" AND share_of_seats = "3%" AND general_election < 1992 | SELECT MIN("seats") FROM "table_name_6" WHERE "18%" = "share_of_votes" AND "3%" = "share_of_seats" AND "general_election" < 1992 | 0.125 |
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 offering_instructor (offering_instructor_id NUMBER, offering_id NUMBER, instructor_id 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 program (program_id NUMBER, name VARCHAR2, college VARCHAR2, introduction VARCHAR2)
CREATE TABLE jobs (job_id NUMBER, job_title VARCHAR2, description VARCHAR2, requirement VARCHAR2, city VARCHAR2, state VARCHAR2, country VARCHAR2, zip NUMBER)
CREATE TABLE area (course_id NUMBER, area VARCHAR2)
CREATE TABLE student (student_id NUMBER, lastname VARCHAR2, firstname VARCHAR2, program_id NUMBER, declare_major VARCHAR2, total_credit NUMBER, total_gpa FLOAT, entered_as VARCHAR2, admit_term NUMBER, predicted_graduation_semester NUMBER, degree VARCHAR2, minor VARCHAR2, internship VARCHAR2)
CREATE TABLE comment_instructor (instructor_id NUMBER, student_id NUMBER, score NUMBER, comment_text 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_record (student_id NUMBER, course_id NUMBER, semester NUMBER, grade VARCHAR2, how VARCHAR2, transfer_source VARCHAR2, earn_credit VARCHAR2, repeat_term VARCHAR2, test_id VARCHAR2)
CREATE TABLE program_course (program_id NUMBER, course_id NUMBER, workload NUMBER, category VARCHAR2)
CREATE TABLE ta (campus_job_id NUMBER, student_id NUMBER, location VARCHAR2)
CREATE TABLE instructor (instructor_id NUMBER, name VARCHAR2, uniqname VARCHAR2)
CREATE TABLE course_prerequisite (pre_course_id NUMBER, course_id NUMBER)
CREATE TABLE requirement (requirement_id NUMBER, requirement VARCHAR2, college VARCHAR2)
CREATE TABLE semester (semester_id NUMBER, semester VARCHAR2, year NUMBER)
| Are 10 credits available for all upper-level classes ? | SELECT COUNT(*) = 0 FROM course, program_course WHERE course.credits <> 10 AND course.department = 'EECS' AND program_course.category LIKE '%ULCS%' AND program_course.course_id = course.course_id | SELECT COUNT(*) = 0 FROM "course" JOIN "program_course" ON "course"."course_id" = "program_course"."course_id" AND "program_course"."category" LIKE '%ULCS%' WHERE "course"."credits" <> 10 AND "course"."department" = 'EECS' | 0.216797 |
CREATE TABLE table_name_40 (record VARCHAR2, date VARCHAR2)
| What was the record on March 27? | SELECT record FROM table_name_40 WHERE date = "march 27" | SELECT "record" FROM "table_name_40" WHERE "date" = "march 27" | 0.060547 |
CREATE TABLE table_name_92 (type VARCHAR2, length_overall VARCHAR2)
| What type has an overall length of 1.605 m? | SELECT type FROM table_name_92 WHERE length_overall = "1.605 m" | SELECT "type" FROM "table_name_92" WHERE "1.605 m" = "length_overall" | 0.067383 |
CREATE TABLE table_204_197 (id NUMBER, "date" CLOB, "time" CLOB, "opponent#" CLOB, "site" CLOB, "tv" CLOB, "result" CLOB, "attendance" NUMBER)
| what was the date of the first game played ? | SELECT "date" FROM table_204_197 ORDER BY "date" LIMIT 1 | SELECT "date" FROM "table_204_197" ORDER BY "date" FETCH FIRST 1 ROWS ONLY | 0.072266 |
CREATE TABLE table_30599 ("No. in series" FLOAT, "No. in season" FLOAT, "Title" CLOB, "Directed by" CLOB, "Written by" CLOB, "Original air date" CLOB, "U.S. viewers ( million ) " CLOB)
| Who wrote the episodes that were directed by Peter O'Fallon? | SELECT "Written by" FROM table_30599 WHERE "Directed by" = 'Peter O''Fallon' | SELECT "Written by" FROM "table_30599" WHERE "Directed by" = 'Peter O''Fallon' | 0.076172 |
CREATE TABLE employees (EMPLOYEE_ID NUMBER, FIRST_NAME VARCHAR2, LAST_NAME VARCHAR2, EMAIL VARCHAR2, PHONE_NUMBER VARCHAR2, HIRE_DATE DATE, JOB_ID VARCHAR2, SALARY NUMBER, COMMISSION_PCT NUMBER, MANAGER_ID NUMBER, DEPARTMENT_ID NUMBER)
CREATE TABLE regions (REGION_ID NUMBER, REGION_NAME VARCHAR2)
CREATE TABLE 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 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 locations (LOCATION_ID NUMBER, STREET_ADDRESS VARCHAR2, POSTAL_CODE VARCHAR2, CITY VARCHAR2, STATE_PROVINCE VARCHAR2, COUNTRY_ID VARCHAR2)
| For those employees who was hired before 2002-06-21, draw a bar chart about the distribution of hire_date and the average of employee_id bin hire_date by time, and I want to sort y-axis from low to high order. | SELECT HIRE_DATE, AVG(EMPLOYEE_ID) FROM employees WHERE HIRE_DATE < '2002-06-21' ORDER BY AVG(EMPLOYEE_ID) | SELECT "HIRE_DATE", AVG("EMPLOYEE_ID") FROM "employees" WHERE "HIRE_DATE" < '2002-06-21' ORDER BY AVG("EMPLOYEE_ID") | 0.113281 |
CREATE TABLE artist (Artist_ID NUMBER, Artist CLOB, Age NUMBER, Famous_Title CLOB, Famous_Release_date CLOB)
CREATE TABLE music_festival (ID NUMBER, Music_Festival CLOB, Date_of_ceremony CLOB, Category CLOB, Volume NUMBER, Result CLOB)
CREATE TABLE volume (Volume_ID NUMBER, Volume_Issue CLOB, Issue_Date CLOB, Weeks_on_Top FLOAT, Song CLOB, Artist_ID NUMBER)
| Draw a bar chart for how many music festivals have had each kind of result, ordered descending by count? | SELECT Result, COUNT(*) FROM music_festival GROUP BY Result ORDER BY COUNT(*) DESC | SELECT "Result", COUNT(*) FROM "music_festival" GROUP BY "Result" ORDER BY COUNT(*) DESC | 0.085938 |
CREATE TABLE table_56355 ("year" FLOAT, "total" FLOAT, "German" CLOB, "Romanian" CLOB, "Hungarian" CLOB, "other" CLOB, "of which Romanies ( Gypsies ) " CLOB)
| What is the german total population after 1910 with an other total of 143 and 32 hungarians? | SELECT "German" FROM table_56355 WHERE "year" > '1910' AND "other" = '143' AND "Hungarian" = '32' | SELECT "German" FROM "table_56355" WHERE "Hungarian" = '32' AND "other" = '143' AND "year" > '1910' | 0.09668 |
CREATE TABLE table_name_18 (elevation__m_ VARCHAR2, prominence__m_ NUMBER)
| How much Elevation (m) has a Prominence (m) larger than 2,876? | SELECT COUNT(elevation__m_) FROM table_name_18 WHERE prominence__m_ > 2 OFFSET 876 | SELECT COUNT("elevation__m_") FROM "table_name_18" WHERE "prominence__m_" > 2 OFFSET 876 ROWS | 0.09082 |
CREATE TABLE patient (uniquepid CLOB, patienthealthsystemstayid NUMBER, patientunitstayid NUMBER, gender CLOB, age CLOB, ethnicity CLOB, hospitalid NUMBER, wardid NUMBER, admissionheight NUMBER, admissionweight NUMBER, dischargeweight NUMBER, hospitaladmittime TIME, hospitaladmitsource CLOB, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus CLOB)
CREATE TABLE allergy (allergyid NUMBER, patientunitstayid NUMBER, drugname CLOB, allergyname CLOB, allergytime TIME)
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 lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime TIME)
CREATE TABLE medication (medicationid NUMBER, patientunitstayid NUMBER, drugname CLOB, dosage CLOB, routeadmin CLOB, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE cost (costid NUMBER, uniquepid CLOB, patienthealthsystemstayid NUMBER, eventtype CLOB, eventid NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE microlab (microlabid NUMBER, patientunitstayid NUMBER, culturesite CLOB, organism CLOB, culturetakentime TIME)
CREATE TABLE intakeoutput (intakeoutputid NUMBER, patientunitstayid NUMBER, cellpath CLOB, celllabel CLOB, cellvaluenumeric NUMBER, intakeoutputtime TIME)
CREATE TABLE diagnosis (diagnosisid NUMBER, patientunitstayid NUMBER, diagnosisname CLOB, diagnosistime TIME, icd9code CLOB)
| has the respiration of patient 030-34260 until 11/2105 been less than 0.0? | SELECT COUNT(*) > 0 FROM vitalperiodic WHERE vitalperiodic.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '030-34260')) AND vitalperiodic.respiration < 0.0 AND NOT vitalperiodic.respiration IS NULL AND STRFTIME('%y-%m', vitalperiodic.observationtime) <= '2105-11' | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '030-34260' GROUP BY "patienthealthsystemstayid"), "_u_1" AS (SELECT "patient"."patientunitstayid" FROM "patient" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "patient"."patienthealthsystemstayid" WHERE NOT "_u_0"."" IS NULL GROUP BY "patientunitstayid") SELECT COUNT(*) > 0 FROM "vitalperiodic" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "vitalperiodic"."patientunitstayid" WHERE "vitalperiodic"."respiration" < 0.0 AND NOT "_u_1"."" IS NULL AND NOT "vitalperiodic"."respiration" IS NULL AND STRFTIME('%y-%m', "vitalperiodic"."observationtime") <= '2105-11' | 0.638672 |
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 PostHistory (Id NUMBER, PostHistoryTypeId NUMBER, PostId NUMBER, RevisionGUID other, CreationDate TIME, UserId NUMBER, UserDisplayName CLOB, Comment CLOB, Text CLOB, ContentLicense CLOB)
CREATE TABLE PendingFlags (Id NUMBER, FlagTypeId NUMBER, PostId NUMBER, CreationDate TIME, CloseReasonTypeId NUMBER, CloseAsOffTopicReasonTypeId NUMBER, DuplicateOfQuestionId NUMBER, BelongsOnBaseHostAddress 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 Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
CREATE TABLE CloseAsOffTopicReasonTypes (Id NUMBER, IsUniversal BOOLEAN, InputTitle CLOB, MarkdownInputGuidance CLOB, MarkdownPostOwnerGuidance CLOB, MarkdownPrivilegedUserGuidance CLOB, MarkdownConcensusDescription CLOB, CreationDate TIME, CreationModeratorId NUMBER, ApprovalDate TIME, ApprovalModeratorId NUMBER, DeactivationDate TIME, DeactivationModeratorId NUMBER)
CREATE TABLE 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 ReviewTaskResultTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostsWithDeleted (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE FlagTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostTags (PostId NUMBER, TagId 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 PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
CREATE TABLE VoteTypes (Id NUMBER, Name CLOB)
CREATE TABLE ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId NUMBER)
CREATE TABLE 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 ReviewTaskStates (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostHistoryTypes (Id NUMBER, Name CLOB)
CREATE TABLE Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
CREATE TABLE PostTypes (Id NUMBER, Name CLOB)
CREATE TABLE PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId NUMBER)
CREATE TABLE Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount NUMBER)
CREATE TABLE SuggestedEditVotes (Id NUMBER, SuggestedEditId NUMBER, UserId NUMBER, VoteTypeId NUMBER, CreationDate TIME, TargetUserId NUMBER, TargetRepChange NUMBER)
CREATE TABLE ReviewTaskTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment CLOB)
CREATE TABLE ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
CREATE TABLE PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId NUMBER)
CREATE TABLE PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
| Linkyness Leaderboard (including external links). | SELECT RANK() OVER (ORDER BY AVG(CAST((LENGTH(A.Body) - LENGTH(REPLACE(A.Body, @LinkPattern, ''))) AS FLOAT) / CAST(LENGTH(@LinkPattern) AS FLOAT)) DESC) AS Ranking, AVG(CAST((LENGTH(A.Body) - LENGTH(REPLACE(A.Body, @LinkPattern, ''))) AS FLOAT) / CAST(LENGTH(@LinkPattern) AS FLOAT)) AS "link_average", U.Id AS "user_link" FROM Posts AS A INNER JOIN Users AS U ON A.OwnerUserId = U.Id WHERE A.PostTypeId = 2 GROUP BY U.Id ORDER BY AVG(CAST((LENGTH(A.Body) - LENGTH(REPLACE(A.Body, @LinkPattern, ''))) AS FLOAT) / CAST(LENGTH(@LinkPattern) AS FLOAT)) DESC | SELECT RANK() OVER (ORDER BY AVG(CAST((LENGTH("A"."Body") - LENGTH(REPLACE("A"."Body", @LinkPattern, ''))) AS FLOAT) / NULLIF(CAST(LENGTH(@LinkPattern) AS FLOAT), 0)) DESC) AS "Ranking", AVG(CAST((LENGTH("A"."Body") - LENGTH(REPLACE("A"."Body", @LinkPattern, ''))) AS FLOAT) / NULLIF(CAST(LENGTH(@LinkPattern) AS FLOAT), 0)) AS "link_average", "U"."Id" AS "user_link" FROM "Posts" "A" JOIN "Users" "U" ON "A"."OwnerUserId" = "U"."Id" WHERE "A"."PostTypeId" = 2 GROUP BY "U"."Id" ORDER BY AVG(CAST((LENGTH("A"."Body") - LENGTH(REPLACE("A"."Body", @LinkPattern, ''))) AS FLOAT) / NULLIF(CAST(LENGTH(@LinkPattern) AS FLOAT), 0)) DESC | 0.615234 |
CREATE TABLE Movie (mID NUMBER, title CLOB, year NUMBER, director CLOB)
CREATE TABLE Reviewer (rID NUMBER, name CLOB)
CREATE TABLE Rating (rID NUMBER, mID NUMBER, stars NUMBER, ratingDate DATE)
| For each director, return the highest rating among all of their movies and the value of that rating, group by title in a scatter, and Ignore movies whose director is NULL. | SELECT stars, MAX(T1.stars) FROM Rating AS T1 JOIN Movie AS T2 ON T1.mID = T2.mID WHERE director <> "null" GROUP BY title | SELECT "stars", MAX("T1"."stars") FROM "Rating" "T1" JOIN "Movie" "T2" ON "T1"."mID" = "T2"."mID" WHERE "director" <> "null" GROUP BY "title" | 0.137695 |
CREATE TABLE table_51114 ("Rank" CLOB, "Nation" CLOB, "Gold" FLOAT, "Silver" FLOAT, "Bronze" FLOAT, "Total" FLOAT)
| Name the Silver that has a Total smaller than 2, and a Nation of south korea? | SELECT AVG("Silver") FROM table_51114 WHERE "Total" < '2' AND "Nation" = 'south korea' | SELECT AVG("Silver") FROM "table_51114" WHERE "Nation" = 'south korea' AND "Total" < '2' | 0.085938 |
CREATE TABLE table_name_2 (rec NUMBER, yards VARCHAR2, avg VARCHAR2)
| What is the average rec that is greater than 10 and has 40 yards? | SELECT AVG(rec) FROM table_name_2 WHERE yards = 40 AND avg > 10 | SELECT AVG("rec") FROM "table_name_2" WHERE "avg" > 10 AND "yards" = 40 | 0.069336 |
CREATE TABLE table_21295 ("Game" FLOAT, "Date" CLOB, "Team" CLOB, "Score" CLOB, "High points" CLOB, "High rebounds" CLOB, "High assists" CLOB, "Location Attendance" CLOB, "Record" CLOB)
| Name the team for arco arena 13,685 | SELECT "Team" FROM table_21295 WHERE "Location Attendance" = 'ARCO Arena 13,685' | SELECT "Team" FROM "table_21295" WHERE "Location Attendance" = 'ARCO Arena 13,685' | 0.080078 |
CREATE TABLE table_66784 ("Place" CLOB, "Name" CLOB, "Country" CLOB, "Score" CLOB, "To par" CLOB)
| What is the To par of Willie MacFarlane from the country of Scotland? | SELECT "To par" FROM table_66784 WHERE "Country" = 'scotland' AND "Name" = 'willie macfarlane' | SELECT "To par" FROM "table_66784" WHERE "Country" = 'scotland' AND "Name" = 'willie macfarlane' | 0.09375 |
CREATE TABLE table_name_43 (english VARCHAR2, twie VARCHAR2, Limburgish VARCHAR2)
| What is the English word for twie? | SELECT english FROM table_name_43 WHERE DUTCH(Limburgish) = twie | SELECT "english" FROM "table_name_43" WHERE "twie" = DUTCH("Limburgish") | 0.070313 |
CREATE TABLE diagnosis (diagnosisid NUMBER, patientunitstayid NUMBER, diagnosisname CLOB, diagnosistime TIME, icd9code CLOB)
CREATE TABLE patient (uniquepid CLOB, patienthealthsystemstayid NUMBER, patientunitstayid NUMBER, gender CLOB, age CLOB, ethnicity CLOB, hospitalid NUMBER, wardid NUMBER, admissionheight NUMBER, admissionweight NUMBER, dischargeweight NUMBER, hospitaladmittime TIME, hospitaladmitsource CLOB, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus CLOB)
CREATE TABLE allergy (allergyid NUMBER, patientunitstayid NUMBER, drugname CLOB, allergyname CLOB, allergytime TIME)
CREATE TABLE cost (costid NUMBER, uniquepid CLOB, patienthealthsystemstayid NUMBER, eventtype CLOB, eventid NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE treatment (treatmentid NUMBER, patientunitstayid NUMBER, treatmentname CLOB, treatmenttime TIME)
CREATE TABLE medication (medicationid NUMBER, patientunitstayid NUMBER, drugname CLOB, dosage CLOB, routeadmin CLOB, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE vitalperiodic (vitalperiodicid NUMBER, patientunitstayid NUMBER, temperature NUMBER, sao2 NUMBER, heartrate NUMBER, respiration NUMBER, systemicsystolic NUMBER, systemicdiastolic NUMBER, systemicmean NUMBER, observationtime 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 intakeoutput (intakeoutputid NUMBER, patientunitstayid NUMBER, cellpath CLOB, celllabel CLOB, cellvaluenumeric NUMBER, intakeoutputtime TIME)
| give me the top four most common diagnoses for patients with an age of 40s during a year before? | SELECT t1.diagnosisname FROM (SELECT diagnosis.diagnosisname, DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS c1 FROM diagnosis WHERE diagnosis.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.age BETWEEN 40 AND 49) AND DATETIME(diagnosis.diagnosistime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year') GROUP BY diagnosis.diagnosisname) AS t1 WHERE t1.c1 <= 4 | WITH "_u_0" AS (SELECT "patient"."patientunitstayid" FROM "patient" WHERE "patient"."age" <= 49 AND "patient"."age" >= 40 GROUP BY "patientunitstayid"), "t1" AS (SELECT "diagnosis"."diagnosisname", DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS "c1" FROM "diagnosis" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "diagnosis"."patientunitstayid" WHERE DATETIME("diagnosis"."diagnosistime", 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year') AND NOT "_u_0"."" IS NULL GROUP BY "diagnosis"."diagnosisname") SELECT "t1"."diagnosisname" FROM "t1" "t1" WHERE "t1"."c1" <= 4 | 0.566406 |
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 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 gender is m and drug name is ciprofloxacin? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.gender = "M" AND prescriptions.drug = "Ciprofloxacin" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "prescriptions" ON "Ciprofloxacin" = "prescriptions"."drug" AND "demographic"."hadm_id" = "prescriptions"."hadm_id" WHERE "M" = "demographic"."gender" | 0.21875 |
CREATE TABLE ReviewTaskTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE VoteTypes (Id NUMBER, Name CLOB)
CREATE TABLE PostTypes (Id NUMBER, Name CLOB)
CREATE TABLE PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId NUMBER)
CREATE TABLE FlagTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
CREATE TABLE Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount NUMBER)
CREATE TABLE ReviewTaskResultTypes (Id NUMBER, Name CLOB, Description 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 CloseAsOffTopicReasonTypes (Id NUMBER, IsUniversal BOOLEAN, InputTitle CLOB, MarkdownInputGuidance CLOB, MarkdownPostOwnerGuidance CLOB, MarkdownPrivilegedUserGuidance CLOB, MarkdownConcensusDescription CLOB, CreationDate TIME, CreationModeratorId NUMBER, ApprovalDate TIME, ApprovalModeratorId NUMBER, DeactivationDate TIME, DeactivationModeratorId NUMBER)
CREATE TABLE PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
CREATE TABLE SuggestedEditVotes (Id NUMBER, SuggestedEditId NUMBER, UserId NUMBER, VoteTypeId NUMBER, CreationDate TIME, TargetUserId NUMBER, TargetRepChange 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 ReviewTaskStates (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostTags (PostId NUMBER, TagId NUMBER)
CREATE TABLE Posts (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE PostHistoryTypes (Id NUMBER, Name CLOB)
CREATE TABLE CloseReasonTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PendingFlags (Id NUMBER, FlagTypeId NUMBER, PostId NUMBER, CreationDate TIME, CloseReasonTypeId NUMBER, CloseAsOffTopicReasonTypeId NUMBER, DuplicateOfQuestionId NUMBER, BelongsOnBaseHostAddress CLOB)
CREATE TABLE ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
CREATE TABLE PostsWithDeleted (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId NUMBER)
CREATE TABLE PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
CREATE TABLE Comments (Id NUMBER, PostId NUMBER, Score NUMBER, Text CLOB, CreationDate TIME, UserDisplayName CLOB, UserId NUMBER, ContentLicense CLOB)
CREATE TABLE 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 ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment CLOB)
CREATE TABLE Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
CREATE TABLE Users (Id NUMBER, Reputation NUMBER, CreationDate TIME, DisplayName CLOB, LastAccessDate TIME, WebsiteUrl CLOB, Location CLOB, AboutMe CLOB, Views NUMBER, UpVotes NUMBER, DownVotes NUMBER, ProfileImageUrl CLOB, EmailHash CLOB, AccountId NUMBER)
CREATE TABLE ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId NUMBER)
| Number of distinct users who posted a Q or an A, in the last year (365 days). Number of distinct users who posted a Q or an A, in the last 30 days | SELECT COUNT(DISTINCT Users.Id) FROM Users JOIN Posts ON Posts.OwnerUserId = Users.Id AND (Posts.PostTypeId = 1) WHERE DATEDIFF(day, Posts.CreationDate, GETDATE()) < 365 | SELECT COUNT(DISTINCT "Users"."Id") FROM "Users" JOIN "Posts" ON "Posts"."OwnerUserId" = "Users"."Id" AND "Posts"."PostTypeId" = 1 AND DATEDIFF(CAST("day" AS DATETIME), CAST("Posts"."CreationDate" AS DATETIME), GETDATE()) < 365 | 0.22168 |
CREATE TABLE table_22635 ("Model number" CLOB, "sSpec number" CLOB, "Frequency" CLOB, "Turbo" CLOB, "Cores" FLOAT, "L2 cache" CLOB, "L3 cache" CLOB, "I/O bus" CLOB, "Mult." CLOB, "Memory" CLOB, "Voltage" CLOB, "TDP" CLOB, "Socket" CLOB, "Release date" CLOB, "Part number ( s ) " CLOB, "Release price ( USD ) " CLOB)
| When socketg1 is the socket what is the release price in dollars? | SELECT "Release price ( USD )" FROM table_22635 WHERE "Socket" = 'SocketG1' | SELECT "Release price ( USD )" FROM "table_22635" WHERE "Socket" = 'SocketG1' | 0.075195 |
CREATE TABLE table_203_629 (id NUMBER, "year" NUMBER, "title" CLOB, "lead vocalist" CLOB, "aria chart position" NUMBER, "album" CLOB)
| how long did they produce singles ? | SELECT MAX("year") - MIN("year") FROM table_203_629 | SELECT MAX("year") - MIN("year") FROM "table_203_629" | 0.051758 |
CREATE TABLE table_204_703 (id NUMBER, "rank" NUMBER, "nation" CLOB, "gold" NUMBER, "silver" NUMBER, "bronze" NUMBER, "total" NUMBER)
| name the country that had the same number of bronze medals as russia . | SELECT "nation" FROM table_204_703 WHERE "nation" <> 'russia' AND "bronze" = (SELECT "bronze" FROM table_204_703 WHERE "nation" = 'russia') | SELECT "nation" FROM "table_204_703" WHERE "bronze" = (SELECT "bronze" FROM "table_204_703" WHERE "nation" = 'russia') AND "nation" <> 'russia' | 0.139648 |
CREATE TABLE table_203_482 (id NUMBER, "year" NUMBER, "award" CLOB, "result" CLOB, "category" CLOB, "series" CLOB)
| which award did scrubs win the most of ? | SELECT "category" FROM table_203_482 WHERE "result" = 'won' GROUP BY "category" ORDER BY COUNT(*) DESC LIMIT 1 | SELECT "category" FROM "table_203_482" WHERE "result" = 'won' GROUP BY "category" ORDER BY COUNT(*) DESC FETCH FIRST 1 ROWS ONLY | 0.125 |
CREATE TABLE wine (no NUMBER, grape CLOB, winery CLOB, appelation CLOB, state CLOB, name CLOB, year NUMBER, price NUMBER, score NUMBER, cases NUMBER, drink CLOB)
CREATE TABLE appellations (no NUMBER, appelation CLOB, county CLOB, state CLOB, area CLOB, isava CLOB)
CREATE TABLE grapes (id NUMBER, grape CLOB, color CLOB)
| Give the average price and case of wines made from Zinfandel grapes in the year 2009. | SELECT AVG(price), AVG(cases) FROM wine WHERE year = 2009 AND grape = "Zinfandel" | SELECT AVG("price"), AVG("cases") FROM "wine" WHERE "Zinfandel" = "grape" AND "year" = 2009 | 0.088867 |
CREATE TABLE table_name_17 (score VARCHAR2, winners VARCHAR2, venue VARCHAR2, runners_up VARCHAR2)
| What is the Score of the Rangers' Runner-ups and Hibernian Winners in Hampden Park? | SELECT score FROM table_name_17 WHERE venue = "hampden park" AND runners_up = "rangers" AND winners = "hibernian" | SELECT "score" FROM "table_name_17" WHERE "hampden park" = "venue" AND "hibernian" = "winners" AND "rangers" = "runners_up" | 0.120117 |
CREATE TABLE ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId NUMBER)
CREATE TABLE ReviewTaskTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
CREATE TABLE ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
CREATE TABLE Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
CREATE TABLE PostTags (PostId NUMBER, TagId NUMBER)
CREATE TABLE Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount NUMBER)
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 PostTypes (Id NUMBER, Name 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 PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId NUMBER)
CREATE TABLE ReviewTaskStates (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PendingFlags (Id NUMBER, FlagTypeId NUMBER, PostId NUMBER, CreationDate TIME, CloseReasonTypeId NUMBER, CloseAsOffTopicReasonTypeId NUMBER, DuplicateOfQuestionId NUMBER, BelongsOnBaseHostAddress CLOB)
CREATE TABLE ReviewTaskResultTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
CREATE TABLE PostsWithDeleted (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE CloseReasonTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE 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 Comments (Id NUMBER, PostId NUMBER, Score NUMBER, Text CLOB, CreationDate TIME, UserDisplayName CLOB, UserId NUMBER, ContentLicense CLOB)
CREATE TABLE ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment CLOB)
CREATE TABLE PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
CREATE TABLE FlagTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId NUMBER)
CREATE TABLE 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 PostHistoryTypes (Id NUMBER, Name CLOB)
CREATE TABLE PostHistory (Id NUMBER, PostHistoryTypeId NUMBER, PostId NUMBER, RevisionGUID other, CreationDate TIME, UserId NUMBER, UserDisplayName CLOB, Comment CLOB, Text CLOB, ContentLicense CLOB)
CREATE TABLE VoteTypes (Id NUMBER, Name CLOB)
| Top users with zero score from answers. | WITH users_cte AS (SELECT p.OwnerUserId AS UserId, SUM(CASE WHEN p.PostTypeId = 1 THEN p.Score ELSE 0 END) AS QScore, SUM(CASE WHEN p.PostTypeId = 1 THEN 1 ELSE 0 END) AS QCount, SUM(CASE WHEN p.PostTypeId = 2 THEN p.Score ELSE 0 END) AS AScore, SUM(CASE WHEN p.PostTypeId = 2 THEN 1 ELSE 0 END) AS ACount FROM Posts AS p GROUP BY p.OwnerUserId) SELECT UserId AS "user_link", QScore AS "question_score", QCount AS "question_count", AScore AS "answer_score", ACount AS "answer_count" FROM users_cte WHERE AScore = 0 ORDER BY QScore DESC LIMIT 100 | WITH "users_cte" AS (SELECT MAX(1) AS "_" FROM "Posts" "p" GROUP BY "p"."OwnerUserId") SELECT "UserId" AS "user_link", "QScore" AS "question_score", "QCount" AS "question_count", "AScore" AS "answer_score", "ACount" AS "answer_count" FROM "users_cte" WHERE "AScore" = 0 ORDER BY "QScore" DESC FETCH FIRST 100 ROWS ONLY | 0.310547 |
CREATE TABLE table_40760 ("Date" CLOB, "Tournament" CLOB, "Surface" CLOB, "Partnering" CLOB, "Opponents in the final" CLOB, "Score" CLOB)
| Which Tournament has a Date of january 10, 1994? | SELECT "Tournament" FROM table_40760 WHERE "Date" = 'january 10, 1994' | SELECT "Tournament" FROM "table_40760" WHERE "Date" = 'january 10, 1994' | 0.070313 |
CREATE TABLE table_1342393_16 (incumbent VARCHAR2, district VARCHAR2)
| Name the incumbent for kentucky 9 | SELECT incumbent FROM table_1342393_16 WHERE district = "Kentucky 9" | SELECT "incumbent" FROM "table_1342393_16" WHERE "Kentucky 9" = "district" | 0.072266 |
CREATE TABLE table_16524 ("Year" CLOB, "Champion" CLOB, "Score" CLOB, "Runner-Up" CLOB, "Location" CLOB, "Semi-Finalist #1" CLOB, "Semi-Finalist #2" CLOB)
| who is the champion where semi-finalist #2 is na and location is morrisville, nc | SELECT "Champion" FROM table_16524 WHERE "Semi-Finalist #2" = 'NA' AND "Location" = 'Morrisville, NC' | SELECT "Champion" FROM "table_16524" WHERE "Location" = 'Morrisville, NC' AND "Semi-Finalist #2" = 'NA' | 0.100586 |
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 procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
| what is diagnoses icd9 code and procedure short title of subject id 31066? | SELECT diagnoses.icd9_code, procedures.short_title FROM diagnoses INNER JOIN procedures ON diagnoses.hadm_id = procedures.hadm_id WHERE diagnoses.subject_id = "31066" | SELECT "diagnoses"."icd9_code", "procedures"."short_title" FROM "diagnoses" JOIN "procedures" ON "diagnoses"."hadm_id" = "procedures"."hadm_id" WHERE "31066" = "diagnoses"."subject_id" | 0.179688 |
CREATE TABLE table_name_42 (to_par NUMBER, country VARCHAR2, year_s__won VARCHAR2)
| Which To par has a Country of australia, and a Year(s) won of 1990? | SELECT MIN(to_par) FROM table_name_42 WHERE country = "australia" AND year_s__won = "1990" | SELECT MIN("to_par") FROM "table_name_42" WHERE "1990" = "year_s__won" AND "australia" = "country" | 0.095703 |
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)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
| provide the number of patients whose ethnicity is white and drug name is soln.? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.ethnicity = "WHITE" AND prescriptions.drug = "Soln." | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "prescriptions" ON "Soln." = "prescriptions"."drug" AND "demographic"."hadm_id" = "prescriptions"."hadm_id" WHERE "WHITE" = "demographic"."ethnicity" | 0.217773 |
CREATE TABLE table_71264 ("Year" FLOAT, "Manufacturer" CLOB, "Start" CLOB, "Finish" CLOB, "Team" CLOB)
| What team has 33 starts? | SELECT "Team" FROM table_71264 WHERE "Start" = '33' | SELECT "Team" FROM "table_71264" WHERE "Start" = '33' | 0.051758 |
CREATE TABLE table_31925 ("Player" CLOB, "Nationality" CLOB, "Position" CLOB, "Years in Toronto" CLOB, "School/Club Team" CLOB)
| What position does Ed Stokes hold? | SELECT "Position" FROM table_31925 WHERE "Player" = 'ed stokes' | SELECT "Position" FROM "table_31925" WHERE "Player" = 'ed stokes' | 0.063477 |
CREATE TABLE table_45180 ("Week" FLOAT, "Date" CLOB, "Opponent" CLOB, "Result" CLOB, "Attendance" FLOAT)
| what is the highest attendance for week 3? | SELECT MAX("Attendance") FROM table_45180 WHERE "Week" = '3' | SELECT MAX("Attendance") FROM "table_45180" WHERE "Week" = '3' | 0.060547 |
CREATE TABLE furniture (furniture_id NUMBER, name CLOB, num_of_component NUMBER, market_rate NUMBER)
CREATE TABLE manufacturer (manufacturer_id NUMBER, open_year NUMBER, name CLOB, num_of_factories NUMBER, num_of_shops NUMBER)
CREATE TABLE furniture_manufacte (manufacturer_id NUMBER, furniture_id NUMBER, price_in_dollar NUMBER)
| Find the name and component amount of the least popular furniture. | SELECT name, num_of_component FROM furniture ORDER BY market_rate LIMIT 1 | SELECT "name", "num_of_component" FROM "furniture" ORDER BY "market_rate" FETCH FIRST 1 ROWS ONLY | 0.094727 |
CREATE TABLE table_50669 ("Character" CLOB, "Code" CLOB, "Name" CLOB, "Version" FLOAT, "Year" FLOAT)
| Give the sum of the version with the coptic small letter sampi, and a year after 2005. | SELECT SUM("Version") FROM table_50669 WHERE "Name" = 'coptic small letter sampi' AND "Year" > '2005' | SELECT SUM("Version") FROM "table_50669" WHERE "Name" = 'coptic small letter sampi' AND "Year" > '2005' | 0.100586 |
CREATE TABLE table_name_88 (years VARCHAR2, actor VARCHAR2, soap_opera VARCHAR2, duration VARCHAR2)
| What years did Marienhof run, which featured Leonore Capell and lasted 10 years? | SELECT years FROM table_name_88 WHERE soap_opera = "marienhof" AND duration = "10 years" AND actor = "leonore capell" | SELECT "years" FROM "table_name_88" WHERE "10 years" = "duration" AND "actor" = "leonore capell" AND "marienhof" = "soap_opera" | 0.124023 |
CREATE TABLE equipment_sequence (aircraft_code_sequence VARCHAR2, aircraft_code VARCHAR2)
CREATE TABLE fare (fare_id NUMBER, from_airport VARCHAR2, to_airport VARCHAR2, fare_basis_code CLOB, fare_airline CLOB, restriction_code CLOB, one_direction_cost NUMBER, round_trip_cost NUMBER, round_trip_required VARCHAR2)
CREATE TABLE time_zone (time_zone_code CLOB, time_zone_name CLOB, hours_from_gmt NUMBER)
CREATE TABLE airport_service (city_code VARCHAR2, airport_code VARCHAR2, miles_distant NUMBER, direction VARCHAR2, minutes_distant NUMBER)
CREATE TABLE restriction (restriction_code CLOB, advance_purchase NUMBER, stopovers CLOB, saturday_stay_required CLOB, minimum_stay NUMBER, maximum_stay NUMBER, application CLOB, no_discounts CLOB)
CREATE TABLE month (month_number NUMBER, month_name CLOB)
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 (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 ground_service (city_code CLOB, airport_code CLOB, transport_type CLOB, ground_fare NUMBER)
CREATE TABLE aircraft (aircraft_code VARCHAR2, aircraft_description VARCHAR2, manufacturer VARCHAR2, basic_type VARCHAR2, engines NUMBER, propulsion VARCHAR2, wide_body VARCHAR2, wing_span NUMBER, length NUMBER, weight NUMBER, capacity NUMBER, pay_load NUMBER, cruising_speed NUMBER, range_miles NUMBER, pressurized VARCHAR2)
CREATE TABLE city (city_code VARCHAR2, city_name VARCHAR2, state_code VARCHAR2, country_name VARCHAR2, time_zone_code VARCHAR2)
CREATE TABLE fare_basis (fare_basis_code CLOB, booking_class CLOB, class_type CLOB, premium CLOB, economy CLOB, discounted CLOB, night CLOB, season CLOB, basis_days CLOB)
CREATE TABLE class_of_service (booking_class VARCHAR2, rank NUMBER, class_description CLOB)
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 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 date_day (month_number NUMBER, day_number NUMBER, year NUMBER, day_name VARCHAR2)
CREATE TABLE code_description (code VARCHAR2, description CLOB)
CREATE TABLE flight_fare (flight_id NUMBER, fare_id NUMBER)
CREATE TABLE compartment_class (compartment VARCHAR2, class_type VARCHAR2)
CREATE TABLE airline (airline_code VARCHAR2, airline_name CLOB, note CLOB)
CREATE TABLE state (state_code CLOB, state_name CLOB, country_name CLOB)
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)
| show me all flights and fares from DENVER to SAN FRANCISCO | SELECT DISTINCT fare.fare_id, flight.airline_code, flight.flight_id FROM airport_service AS AIRPORT_SERVICE_0, airport_service AS AIRPORT_SERVICE_1, city AS CITY_0, city AS CITY_1, fare, flight, flight_fare 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 = 'SAN FRANCISCO' 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", "flight"."airline_code", "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"."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" = 'SAN FRANCISCO' JOIN "fare" ON "fare"."fare_id" = "flight_fare"."fare_id" | 0.655273 |
CREATE TABLE table_203_114 (id NUMBER, "week" NUMBER, "date" CLOB, "tv time" CLOB, "opponent" CLOB, "result" CLOB, "game site" CLOB, "record" CLOB, "attendance" NUMBER, "bye" CLOB)
| who was the first opponent of the season ? | SELECT "opponent" FROM table_203_114 WHERE id = 1 | SELECT "opponent" FROM "table_203_114" WHERE "id" = 1 | 0.051758 |
CREATE TABLE table_38368 ("Pick" FLOAT, "Player" CLOB, "Country of origin*" CLOB, "PBA team" CLOB, "College" CLOB)
| Who is the PBA team with Mlqu college? | SELECT "PBA team" FROM table_38368 WHERE "College" = 'mlqu' | SELECT "PBA team" FROM "table_38368" WHERE "College" = 'mlqu' | 0.05957 |
CREATE TABLE PROFESSOR (EMP_NUM NUMBER, DEPT_CODE VARCHAR2, PROF_OFFICE VARCHAR2, PROF_EXTENSION VARCHAR2, PROF_HIGH_DEGREE VARCHAR2)
CREATE TABLE COURSE (CRS_CODE VARCHAR2, DEPT_CODE VARCHAR2, CRS_DESCRIPTION VARCHAR2, CRS_CREDIT FLOAT)
CREATE TABLE ENROLL (CLASS_CODE VARCHAR2, STU_NUM NUMBER, ENROLL_GRADE VARCHAR2)
CREATE TABLE STUDENT (STU_NUM NUMBER, STU_LNAME VARCHAR2, STU_FNAME VARCHAR2, STU_INIT VARCHAR2, STU_DOB DATETIME, STU_HRS NUMBER, STU_CLASS VARCHAR2, STU_GPA FLOAT, STU_TRANSFER NUMBER, DEPT_CODE VARCHAR2, STU_PHONE VARCHAR2, PROF_NUM NUMBER)
CREATE TABLE CLASS (CLASS_CODE VARCHAR2, CRS_CODE VARCHAR2, CLASS_SECTION VARCHAR2, CLASS_TIME VARCHAR2, CLASS_ROOM VARCHAR2, PROF_NUM NUMBER)
CREATE TABLE EMPLOYEE (EMP_NUM NUMBER, EMP_LNAME VARCHAR2, EMP_FNAME VARCHAR2, EMP_INITIAL VARCHAR2, EMP_JOBCODE VARCHAR2, EMP_HIREDATE DATETIME, EMP_DOB DATETIME)
CREATE TABLE DEPARTMENT (DEPT_CODE VARCHAR2, DEPT_NAME VARCHAR2, SCHOOL_CODE VARCHAR2, EMP_NUM NUMBER, DEPT_ADDRESS VARCHAR2, DEPT_EXTENSION VARCHAR2)
| Find the number of students who took some course and got A or C and group by last name in a bar chart, display from high to low by the X-axis. | SELECT STU_LNAME, COUNT(STU_LNAME) FROM STUDENT AS T1 JOIN ENROLL AS T2 ON T1.STU_NUM = T2.STU_NUM WHERE T2.ENROLL_GRADE = 'C' OR T2.ENROLL_GRADE = 'A' GROUP BY STU_LNAME ORDER BY STU_LNAME DESC | SELECT "STU_LNAME", COUNT("STU_LNAME") FROM "STUDENT" "T1" JOIN "ENROLL" "T2" ON "T1"."STU_NUM" = "T2"."STU_NUM" AND ("T2"."ENROLL_GRADE" = 'A' OR "T2"."ENROLL_GRADE" = 'C') GROUP BY "STU_LNAME" ORDER BY "STU_LNAME" DESC | 0.214844 |
CREATE TABLE Documents_with_expenses (document_id VARCHAR2, budget_type_code VARCHAR2)
| What are the document ids for the budget type code 'SF'? | SELECT document_id FROM Documents_with_expenses WHERE budget_type_code = 'SF' | SELECT "document_id" FROM "Documents_with_expenses" WHERE "budget_type_code" = 'SF' | 0.081055 |
CREATE TABLE table_77453 ("Game" CLOB, "Date" CLOB, "Home Team" CLOB, "Result" CLOB, "Road Team" CLOB)
| Which Result has a Home Team of rochester, and a Game of game 5? | SELECT "Result" FROM table_77453 WHERE "Home Team" = 'rochester' AND "Game" = 'game 5' | SELECT "Result" FROM "table_77453" WHERE "Game" = 'game 5' AND "Home Team" = 'rochester' | 0.085938 |
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE 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)
| what is the number of patients whose marital status is single and item id is 50891? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.marital_status = "SINGLE" AND lab.itemid = "50891" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "lab" ON "50891" = "lab"."itemid" AND "demographic"."hadm_id" = "lab"."hadm_id" WHERE "SINGLE" = "demographic"."marital_status" | 0.196289 |
CREATE TABLE table_22554 ("Nation" CLOB, "Rider" CLOB, "Horse" CLOB, "Cross Country Penalties" CLOB, "Total Penalties" CLOB, "Total Team Penalties" CLOB, "Team Rank" FLOAT)
| Who is the rider where the horse is galan de sauvagere? | SELECT "Rider" FROM table_22554 WHERE "Horse" = 'Galan De Sauvagere' | SELECT "Rider" FROM "table_22554" WHERE "Horse" = 'Galan De Sauvagere' | 0.068359 |
CREATE TABLE table_name_76 (round NUMBER, position VARCHAR2, overall VARCHAR2)
| Lowest round for g that was smaller than 31? | SELECT MIN(round) FROM table_name_76 WHERE position = "g" AND overall < 31 | SELECT MIN("round") FROM "table_name_76" WHERE "g" = "position" AND "overall" < 31 | 0.080078 |
CREATE TABLE table_name_75 (season VARCHAR2, team VARCHAR2)
| Which season was harrisburg lunatics in? | SELECT season FROM table_name_75 WHERE team = "harrisburg lunatics" | SELECT "season" FROM "table_name_75" WHERE "harrisburg lunatics" = "team" | 0.071289 |
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
| how many patients underwent the procedure titled closed (percutaneous)[needle] biopsy of liver? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE procedures.long_title = "Closed (percutaneous) [needle] biopsy of liver" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "procedures" ON "Closed (percutaneous) [needle] biopsy of liver" = "procedures"."long_title" AND "demographic"."hadm_id" = "procedures"."hadm_id" | 0.213867 |
CREATE TABLE table_name_74 (period VARCHAR2, country VARCHAR2, peak_position VARCHAR2)
| Name the period for south korea with peak position of #24 | SELECT period FROM table_name_74 WHERE country = "south korea" AND peak_position = "#24" | SELECT "period" FROM "table_name_74" WHERE "#24" = "peak_position" AND "country" = "south korea" | 0.09375 |
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 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)
| count the number of patients whose age is less than 89 and procedure long title is initial insertion of single-chamber device, rate responsive? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.age < "89" AND procedures.long_title = "Initial insertion of single-chamber device, rate responsive" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "procedures" ON "Initial insertion of single-chamber device, rate responsive" = "procedures"."long_title" AND "demographic"."hadm_id" = "procedures"."hadm_id" WHERE "89" > "demographic"."age" | 0.258789 |
CREATE TABLE table_11734041_20 (years_for_rockets VARCHAR2, position VARCHAR2)
| what's the years for rockets where position is guard / forward | SELECT years_for_rockets FROM table_11734041_20 WHERE position = "Guard / Forward" | SELECT "years_for_rockets" FROM "table_11734041_20" WHERE "Guard / Forward" = "position" | 0.085938 |
CREATE TABLE table_73146 ("Tournament" CLOB, "Also currently known as" CLOB, "City" CLOB, "Country" CLOB, "Court surface" CLOB, "Defending champion" CLOB)
| How many tournaments are also currently known as the hp open? | SELECT COUNT("Country") FROM table_73146 WHERE "Also currently known as" = 'HP Open' | SELECT COUNT("Country") FROM "table_73146" WHERE "Also currently known as" = 'HP Open' | 0.083984 |
CREATE TABLE table_73904 ("Municipality" CLOB, "No. of Barangays" FLOAT, "Area ( km\\u00b2 ) " CLOB, "Population ( 2010 ) " FLOAT, "Pop. density ( per km\\u00b2 ) " CLOB, "Income Class ( 2004 ) " CLOB)
| What is the population density for the city of lubang? | SELECT COUNT("Pop. density (per km\u00b2)") FROM table_73904 WHERE "Municipality" = 'Lubang' | SELECT COUNT("Pop. density (per km\u00b2)") FROM "table_73904" WHERE "Municipality" = 'Lubang' | 0.091797 |
CREATE TABLE table_42230 ("Rank" FLOAT, "Celebrity" CLOB, "Professional Partner" CLOB, "Season" FLOAT, "Average" FLOAT)
| Who was the professional partner in season 4? | SELECT "Professional Partner" FROM table_42230 WHERE "Season" = '4' | SELECT "Professional Partner" FROM "table_42230" WHERE "Season" = '4' | 0.067383 |
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 cost (costid NUMBER, uniquepid CLOB, patienthealthsystemstayid NUMBER, eventtype CLOB, eventid NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE treatment (treatmentid NUMBER, patientunitstayid NUMBER, treatmentname CLOB, treatmenttime 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 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 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)
| has patient 027-136854 undergone any enteral feeds - tube feeding procedure since 6 years ago? | SELECT COUNT(*) > 0 FROM treatment WHERE treatment.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '027-136854')) AND treatment.treatmentname = 'enteral feeds - tube feeding' AND DATETIME(treatment.treatmenttime) >= DATETIME(CURRENT_TIME(), '-6 year') | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '027-136854' GROUP BY "patienthealthsystemstayid"), "_u_1" AS (SELECT "patient"."patientunitstayid" FROM "patient" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "patient"."patienthealthsystemstayid" WHERE NOT "_u_0"."" IS NULL GROUP BY "patientunitstayid") SELECT COUNT(*) > 0 FROM "treatment" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "treatment"."patientunitstayid" WHERE "treatment"."treatmentname" = 'enteral feeds - tube feeding' AND DATETIME("treatment"."treatmenttime") >= DATETIME(CURRENT_TIME(), '-6 year') AND NOT "_u_1"."" IS NULL | 0.62207 |
CREATE TABLE train (Train_ID NUMBER, Train_Num CLOB, Name CLOB, From CLOB, Arrival CLOB, Railway_ID NUMBER)
CREATE TABLE railway (Railway_ID NUMBER, Railway CLOB, Builder CLOB, Built CLOB, Wheels CLOB, Location CLOB, ObjectNumber CLOB)
CREATE TABLE railway_manage (Railway_ID NUMBER, Manager_ID NUMBER, From_Year CLOB)
CREATE TABLE manager (Manager_ID NUMBER, Name CLOB, Country CLOB, Working_year_starts CLOB, Age NUMBER, Level NUMBER)
| Create a bar chart showing how many arrival across arrival, list by the the number of arrival in ascending. | SELECT Arrival, COUNT(Arrival) FROM train GROUP BY Arrival ORDER BY COUNT(Arrival) | SELECT "Arrival", COUNT("Arrival") FROM "train" GROUP BY "Arrival" ORDER BY COUNT("Arrival") | 0.089844 |
CREATE TABLE table_name_76 (field_goals NUMBER, touchdowns VARCHAR2, points VARCHAR2)
| Which Field goals is the highest one that has Touchdowns of 0, and Points larger than 4? | SELECT MAX(field_goals) FROM table_name_76 WHERE touchdowns = 0 AND points > 4 | SELECT MAX("field_goals") FROM "table_name_76" WHERE "points" > 4 AND "touchdowns" = 0 | 0.083984 |
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