schema
stringlengths 28
5.65k
| question
stringlengths 0
990
| rejected
stringlengths 2
4.44k
| chosen
stringlengths 4
9.17k
| weight
float64 0
8.95
|
|---|---|---|---|---|
CREATE TABLE university (School_ID INT, School TEXT, Location TEXT, Founded FLOAT, Affiliation TEXT, Enrollment FLOAT, Nickname TEXT, Primary_conference TEXT)
CREATE TABLE basketball_match (Team_ID INT, School_ID INT, Team_Name TEXT, ACC_Regular_Season TEXT, ACC_Percent TEXT, ACC_Home TEXT, ACC_Road TEXT, All_Games TEXT, All_Games_Percent INT, All_Home TEXT, All_Road TEXT, All_Neutral TEXT)
| Draw a bar chart about the distribution of All_Home and the amount of All_Home , and group by attribute All_Home. | SELECT All_Home, COUNT(All_Home) FROM basketball_match GROUP BY All_Home | SELECT "All_Home", COUNT("All_Home") FROM "basketball_match" GROUP BY "All_Home" | 0.078125 |
CREATE TABLE table_name_51 (market_value___usd_million_ VARCHAR, headquarters VARCHAR)
| What is the total market value of all corporations headquartered in Germany? | SELECT COUNT(market_value___usd_million_) FROM table_name_51 WHERE headquarters = "germany" | SELECT COUNT("market_value___usd_million_") FROM "table_name_51" WHERE "germany" = "headquarters" | 0.094727 |
CREATE TABLE table_name_34 (wins VARCHAR, losses VARCHAR)
| Which win has a loss of IPL? | SELECT wins FROM table_name_34 WHERE losses = "ipl" | SELECT "wins" FROM "table_name_34" WHERE "ipl" = "losses" | 0.055664 |
CREATE TABLE table_3683 ("No. in series" FLOAT, "No. in season" FLOAT, "Title" TEXT, "Directed by" TEXT, "Written by" TEXT, "Original air date" TEXT, "U.S. viewers ( million ) " TEXT)
| Who was the writer in the episode directed by Jesse Peretz? | SELECT "Written by" FROM table_3683 WHERE "Directed by" = 'Jesse Peretz' | SELECT "Written by" FROM "table_3683" WHERE "Directed by" = 'Jesse Peretz' | 0.072266 |
CREATE TABLE table_49825 ("Date" TEXT, "Time" TEXT, "Score" TEXT, "Set 1" TEXT, "Set 2" TEXT, "Set 3" TEXT, "Total" TEXT)
| What is the score for set 2 when the time is 18:00 and the score of set 1 is 18 25? | SELECT "Set 2" FROM table_49825 WHERE "Time" = '18:00' AND "Set 1" = '18–25' | SELECT "Set 2" FROM "table_49825" WHERE "Set 1" = '18–25' AND "Time" = '18:00' | 0.076172 |
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
| speciy the icd9 code and primary disease of patient robert hyden | SELECT demographic.diagnosis, diagnoses.short_title FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.name = "Robert Hyden" | SELECT "demographic"."diagnosis", "diagnoses"."short_title" FROM "demographic" JOIN "diagnoses" ON "demographic"."hadm_id" = "diagnoses"."hadm_id" WHERE "Robert Hyden" = "demographic"."name" | 0.185547 |
CREATE TABLE table_name_56 (date VARCHAR, tie_no VARCHAR)
| What was the date of the game that tied at 3? | SELECT date FROM table_name_56 WHERE tie_no = "3" | SELECT "date" FROM "table_name_56" WHERE "3" = "tie_no" | 0.053711 |
CREATE TABLE table_name_65 (type VARCHAR, project VARCHAR, weight__kg_ VARCHAR)
| Name the typ for project of igmdp and weight of 16,000 | SELECT type FROM table_name_65 WHERE project = "igmdp" AND weight__kg_ = "16,000" | SELECT "type" FROM "table_name_65" WHERE "16,000" = "weight__kg_" AND "igmdp" = "project" | 0.086914 |
CREATE TABLE patient (uniquepid TEXT, patienthealthsystemstayid DECIMAL, patientunitstayid DECIMAL, gender TEXT, age TEXT, ethnicity TEXT, hospitalid DECIMAL, wardid DECIMAL, admissionheight DECIMAL, admissionweight DECIMAL, dischargeweight DECIMAL, hospitaladmittime TIME, hospitaladmitsource TEXT, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus TEXT)
CREATE TABLE allergy (allergyid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, allergyname TEXT, allergytime TIME)
CREATE TABLE intakeoutput (intakeoutputid DECIMAL, patientunitstayid DECIMAL, cellpath TEXT, celllabel TEXT, cellvaluenumeric DECIMAL, intakeoutputtime TIME)
CREATE TABLE lab (labid DECIMAL, patientunitstayid DECIMAL, labname TEXT, labresult DECIMAL, labresulttime TIME)
CREATE TABLE medication (medicationid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, dosage TEXT, routeadmin TEXT, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE treatment (treatmentid DECIMAL, patientunitstayid DECIMAL, treatmentname TEXT, treatmenttime TIME)
CREATE TABLE microlab (microlabid DECIMAL, patientunitstayid DECIMAL, culturesite TEXT, organism TEXT, culturetakentime TIME)
CREATE TABLE cost (costid DECIMAL, uniquepid TEXT, patienthealthsystemstayid DECIMAL, eventtype TEXT, eventid DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE vitalperiodic (vitalperiodicid DECIMAL, patientunitstayid DECIMAL, temperature DECIMAL, sao2 DECIMAL, heartrate DECIMAL, respiration DECIMAL, systemicsystolic DECIMAL, systemicdiastolic DECIMAL, systemicmean DECIMAL, observationtime TIME)
CREATE TABLE diagnosis (diagnosisid DECIMAL, patientunitstayid DECIMAL, diagnosisname TEXT, diagnosistime TIME, icd9code TEXT)
| tell me whether patient 016-26907 received a hypotension diagnosis until 4 years ago? | SELECT COUNT(*) > 0 FROM diagnosis WHERE diagnosis.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '016-26907')) AND diagnosis.diagnosisname = 'hypotension' AND DATETIME(diagnosis.diagnosistime) <= DATETIME(CURRENT_TIME(), '-4 year') | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '016-26907' GROUP BY "patienthealthsystemstayid"), "_u_1" AS (SELECT "patient"."patientunitstayid" FROM "patient" LEFT JOIN "_u_0" AS "_u_0" ON "_u_0"."" = "patient"."patienthealthsystemstayid" WHERE NOT "_u_0"."" IS NULL GROUP BY "patientunitstayid") SELECT COUNT(*) > 0 FROM "diagnosis" LEFT JOIN "_u_1" AS "_u_1" ON "_u_1"."" = "diagnosis"."patientunitstayid" WHERE "diagnosis"."diagnosisname" = 'hypotension' AND DATETIME("diagnosis"."diagnosistime") <= DATETIME(CURRENT_TIME(), '-4 year') AND NOT "_u_1"."" IS NULL | 0.610352 |
CREATE TABLE table_12298 ("Main contestant" TEXT, "Co-contestant ( Yaar vs. Pyaar ) " TEXT, "Date performed" TEXT, "Scores by each individual judge" TEXT, "Total score/week" TEXT, "Position" TEXT, "Status" TEXT)
| What Scores by each individual judge has a Status of current, and a Co-contestant (Yaar vs. Pyaar) of krushna abhishek? | SELECT "Scores by each individual judge" FROM table_12298 WHERE "Status" = 'current' AND "Co-contestant (Yaar vs. Pyaar)" = 'krushna abhishek' | SELECT "Scores by each individual judge" FROM "table_12298" WHERE "Co-contestant (Yaar vs. Pyaar)" = 'krushna abhishek' AND "Status" = 'current' | 0.140625 |
CREATE TABLE table_76464 ("Game" FLOAT, "Date" TEXT, "Opponent" TEXT, "Score" TEXT, "Location" TEXT, "Record" TEXT)
| Which Opponent has a Score of 92-111? | SELECT "Opponent" FROM table_76464 WHERE "Score" = '92-111' | SELECT "Opponent" FROM "table_76464" WHERE "Score" = '92-111' | 0.05957 |
CREATE TABLE table_203_710 (id DECIMAL, "genre" TEXT, "year" DECIMAL, "title" TEXT, "episode" TEXT, "role" TEXT, "notes" TEXT)
| what is the last piece of filmography that he has worked on to date ? | SELECT "title" FROM table_203_710 ORDER BY "year" DESC LIMIT 1 | SELECT "title" FROM "table_203_710" ORDER BY "year" DESC NULLS LAST LIMIT 1 | 0.073242 |
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
| how many male patients are diagnosed for seroma complicating a procedure? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.gender = "M" AND diagnoses.long_title = "Seroma complicating a procedure" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "Seroma complicating a procedure" = "diagnoses"."long_title" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" WHERE "M" = "demographic"."gender" | 0.230469 |
CREATE TABLE program_requirement (program_id INT, category VARCHAR, min_credit INT, additional_req VARCHAR)
CREATE TABLE semester (semester_id INT, semester VARCHAR, year INT)
CREATE TABLE area (course_id INT, area VARCHAR)
CREATE TABLE offering_instructor (offering_instructor_id INT, offering_id INT, instructor_id INT)
CREATE TABLE ta (campus_job_id INT, student_id INT, location VARCHAR)
CREATE TABLE jobs (job_id INT, job_title VARCHAR, description VARCHAR, requirement VARCHAR, city VARCHAR, state VARCHAR, country VARCHAR, zip INT)
CREATE TABLE course_offering (offering_id INT, course_id INT, semester INT, section_number INT, start_time TIME, end_time TIME, monday VARCHAR, tuesday VARCHAR, wednesday VARCHAR, thursday VARCHAR, friday VARCHAR, saturday VARCHAR, sunday VARCHAR, has_final_project VARCHAR, has_final_exam VARCHAR, textbook VARCHAR, class_address VARCHAR, allow_audit VARCHAR)
CREATE TABLE comment_instructor (instructor_id INT, student_id INT, score INT, comment_text VARCHAR)
CREATE TABLE course_prerequisite (pre_course_id INT, course_id INT)
CREATE TABLE course (course_id INT, name VARCHAR, department VARCHAR, number VARCHAR, credits VARCHAR, advisory_requirement VARCHAR, enforced_requirement VARCHAR, description VARCHAR, num_semesters INT, num_enrolled INT, has_discussion VARCHAR, has_lab VARCHAR, has_projects VARCHAR, has_exams VARCHAR, num_reviews INT, clarity_score INT, easiness_score INT, helpfulness_score INT)
CREATE TABLE gsi (course_offering_id INT, student_id INT)
CREATE TABLE course_tags_count (course_id INT, clear_grading INT, pop_quiz INT, group_projects INT, inspirational INT, long_lectures INT, extra_credit INT, few_tests INT, good_feedback INT, tough_tests INT, heavy_papers INT, cares_for_students INT, heavy_assignments INT, respected INT, participation INT, heavy_reading INT, tough_grader INT, hilarious INT, would_take_again INT, good_lecture INT, no_skip INT)
CREATE TABLE student_record (student_id INT, course_id INT, semester INT, grade VARCHAR, how VARCHAR, transfer_source VARCHAR, earn_credit VARCHAR, repeat_term VARCHAR, test_id VARCHAR)
CREATE TABLE instructor (instructor_id INT, name VARCHAR, uniqname VARCHAR)
CREATE TABLE student (student_id INT, lastname VARCHAR, firstname VARCHAR, program_id INT, declare_major VARCHAR, total_credit INT, total_gpa FLOAT, entered_as VARCHAR, admit_term INT, predicted_graduation_semester INT, degree VARCHAR, minor VARCHAR, internship VARCHAR)
CREATE TABLE program_course (program_id INT, course_id INT, workload INT, category VARCHAR)
CREATE TABLE requirement (requirement_id INT, requirement VARCHAR, college VARCHAR)
CREATE TABLE program (program_id INT, name VARCHAR, college VARCHAR, introduction VARCHAR)
| Labs are there in how many upper level classes ? | SELECT COUNT(DISTINCT course.course_id) FROM course INNER JOIN program_course ON program_course.course_id = course.course_id WHERE course.has_lab = 'Y' AND program_course.category LIKE '%ULCS%' | SELECT COUNT(DISTINCT "course"."course_id") FROM "course" JOIN "program_course" ON "course"."course_id" = "program_course"."course_id" AND "program_course"."category" LIKE '%ULCS%' WHERE "course"."has_lab" = 'Y' | 0.206055 |
CREATE TABLE Manufacturers (Code INT, Name VARCHAR, Headquarter VARCHAR, Founder VARCHAR, Revenue FLOAT)
CREATE TABLE Products (Code INT, Name VARCHAR, Price DECIMAL, Manufacturer INT)
| For those records from the products and each product's manufacturer, visualize a bar chart about the distribution of name and the sum of code , and group by attribute name, and sort Y-axis in descending order. | SELECT T1.Name, T1.Code FROM Products AS T1 JOIN Manufacturers AS T2 ON T1.Manufacturer = T2.Code GROUP BY T1.Name ORDER BY T1.Code DESC | SELECT "T1"."Name", "T1"."Code" FROM "Products" AS "T1" JOIN "Manufacturers" AS "T2" ON "T1"."Manufacturer" = "T2"."Code" GROUP BY "T1"."Name" ORDER BY "T1"."Code" DESC NULLS LAST | 0.174805 |
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
| Give the number of patients whose primary disease is overdose and died in or before year 2168. | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.diagnosis = "OVERDOSE" AND demographic.dod_year <= "2168.0" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "2168.0" >= "demographic"."dod_year" AND "OVERDOSE" = "demographic"."diagnosis" | 0.150391 |
CREATE TABLE table_name_25 (report VARCHAR, circuit VARCHAR)
| Tell me the report for circuit of modena | SELECT report FROM table_name_25 WHERE circuit = "modena" | SELECT "report" FROM "table_name_25" WHERE "circuit" = "modena" | 0.061523 |
CREATE TABLE table_name_27 (driver VARCHAR, laps VARCHAR, grid VARCHAR)
| Who drove the car with over 66 laps with a grid of 5? | SELECT driver FROM table_name_27 WHERE laps > 66 AND grid = 5 | SELECT "driver" FROM "table_name_27" WHERE "grid" = 5 AND "laps" > 66 | 0.067383 |
CREATE TABLE table_48100 ("Rider" TEXT, "Manufacturer" TEXT, "Laps" FLOAT, "Time/Retired" TEXT, "Grid" FLOAT)
| How many Laps have a Time/Retired of +1:42.517, and a Grid larger than 33? | SELECT COUNT("Laps") FROM table_48100 WHERE "Time/Retired" = '+1:42.517' AND "Grid" > '33' | SELECT COUNT("Laps") FROM "table_48100" WHERE "Grid" > '33' AND "Time/Retired" = '+1:42.517' | 0.089844 |
CREATE TABLE table_159359_2 (start_date__1st_night_ VARCHAR, season VARCHAR)
| When are start dates (1st night) for the season of 1966? | SELECT start_date__1st_night_ FROM table_159359_2 WHERE season = "1966" | SELECT "start_date__1st_night_" FROM "table_159359_2" WHERE "1966" = "season" | 0.075195 |
CREATE TABLE table_28802165_1 (poor_law_union VARCHAR, townland VARCHAR)
| What is the poor law union on Marshalstown? | SELECT poor_law_union FROM table_28802165_1 WHERE townland = "Marshalstown" | SELECT "poor_law_union" FROM "table_28802165_1" WHERE "Marshalstown" = "townland" | 0.079102 |
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
| what is the number of urgent hospital admission patients who have albuterol 0.083% neb soln prescription? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.admission_type = "URGENT" AND prescriptions.drug = "Albuterol 0.083% Neb Soln" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "prescriptions" ON "Albuterol 0.083% Neb Soln" = "prescriptions"."drug" AND "demographic"."hadm_id" = "prescriptions"."hadm_id" WHERE "URGENT" = "demographic"."admission_type" | 0.243164 |
CREATE TABLE table_203_179 (id DECIMAL, "goal" DECIMAL, "date" TEXT, "venue" TEXT, "opponent" TEXT, "score" TEXT, "result" TEXT, "competition" TEXT)
| who was the next opponent after germany in 2002 ? | SELECT "opponent" FROM table_203_179 WHERE "date" > (SELECT "date" FROM table_203_179 WHERE "opponent" = 'germany') ORDER BY "date" LIMIT 1 | SELECT "opponent" FROM "table_203_179" WHERE "date" > (SELECT "date" FROM "table_203_179" WHERE "opponent" = 'germany') ORDER BY "date" NULLS FIRST LIMIT 1 | 0.151367 |
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
| Count the number of patients less than 41 years old with coronary artery disease/coronary artery bypass graft (myomectomy/sda) as their primary disease. | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.diagnosis = "CORONARY ARTERY DISEASE\CORONARY ARTERY BYPASS GRAFT; MYOMECTOMY/SDA" AND demographic.age < "41" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "41" > "demographic"."age" AND "CORONARY ARTERY DISEASE\CORONARY ARTERY BYPASS GRAFT; MYOMECTOMY/SDA" = "demographic"."diagnosis" | 0.199219 |
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
| what is the number of patients with hemoptysis on base type drugs? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.diagnosis = "HEMOPYTSIS" AND prescriptions.drug_type = "BASE" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "prescriptions" ON "BASE" = "prescriptions"."drug_type" AND "demographic"."hadm_id" = "prescriptions"."hadm_id" WHERE "HEMOPYTSIS" = "demographic"."diagnosis" | 0.226563 |
CREATE TABLE table_57837 ("Home team" TEXT, "Home team score" TEXT, "Away team" TEXT, "Away team score" TEXT, "Venue" TEXT, "Crowd" FLOAT, "Date" TEXT)
| Who played in lake oval while away? | SELECT "Away team" FROM table_57837 WHERE "Venue" = 'lake oval' | SELECT "Away team" FROM "table_57837" WHERE "Venue" = 'lake oval' | 0.063477 |
CREATE TABLE microbiologyevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, charttime TIME, spec_type_desc TEXT, org_name TEXT)
CREATE TABLE icustays (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, first_careunit TEXT, last_careunit TEXT, first_wardid DECIMAL, last_wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE d_icd_procedures (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE chartevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE procedures_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE labevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE outputevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, value DECIMAL)
CREATE TABLE transfers (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, eventtype TEXT, careunit TEXT, wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE diagnoses_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE patients (row_id DECIMAL, subject_id DECIMAL, gender TEXT, dob TIME, dod TIME)
CREATE TABLE d_labitems (row_id DECIMAL, itemid DECIMAL, label TEXT)
CREATE TABLE d_icd_diagnoses (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE admissions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, admittime TIME, dischtime TIME, admission_type TEXT, admission_location TEXT, discharge_location TEXT, insurance TEXT, language TEXT, marital_status TEXT, ethnicity TEXT, age DECIMAL)
CREATE TABLE prescriptions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, startdate TIME, enddate TIME, drug TEXT, dose_val_rx TEXT, dose_unit_rx TEXT, route TEXT)
CREATE TABLE d_items (row_id DECIMAL, itemid DECIMAL, label TEXT, linksto TEXT)
CREATE TABLE inputevents_cv (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, amount DECIMAL)
CREATE TABLE cost (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, event_type TEXT, event_id DECIMAL, chargetime TIME, cost DECIMAL)
| have terazosin ever been prescribed to patient 16572 until 2100? | SELECT COUNT(*) > 0 FROM prescriptions WHERE prescriptions.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 16572) AND prescriptions.drug = 'terazosin' AND STRFTIME('%y', prescriptions.startdate) <= '2100' | WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 16572 GROUP BY "hadm_id") SELECT COUNT(*) > 0 FROM "prescriptions" LEFT JOIN "_u_0" AS "_u_0" ON "_u_0"."" = "prescriptions"."hadm_id" WHERE "prescriptions"."drug" = 'terazosin' AND NOT "_u_0"."" IS NULL AND STRFTIME('%y', "prescriptions"."startdate") <= '2100' | 0.350586 |
CREATE TABLE table_203_815 (id DECIMAL, "pick #" DECIMAL, "nfl team" TEXT, "player" TEXT, "position" TEXT, "college" TEXT)
| dwight scheyer was the player drafter previous to who ? | SELECT "player" FROM table_203_815 WHERE "pick #" = (SELECT "pick #" FROM table_203_815 WHERE "player" = 'dwight scheyer') + 1 | SELECT "player" FROM "table_203_815" WHERE "pick #" = (SELECT "pick #" FROM "table_203_815" WHERE "player" = 'dwight scheyer') + 1 | 0.126953 |
CREATE TABLE regions (REGION_ID DECIMAL, REGION_NAME VARCHAR)
CREATE TABLE departments (DEPARTMENT_ID DECIMAL, DEPARTMENT_NAME VARCHAR, MANAGER_ID DECIMAL, LOCATION_ID DECIMAL)
CREATE TABLE jobs (JOB_ID VARCHAR, JOB_TITLE VARCHAR, MIN_SALARY DECIMAL, MAX_SALARY DECIMAL)
CREATE TABLE locations (LOCATION_ID DECIMAL, STREET_ADDRESS VARCHAR, POSTAL_CODE VARCHAR, CITY VARCHAR, STATE_PROVINCE VARCHAR, COUNTRY_ID VARCHAR)
CREATE TABLE countries (COUNTRY_ID VARCHAR, COUNTRY_NAME VARCHAR, REGION_ID DECIMAL)
CREATE TABLE job_history (EMPLOYEE_ID DECIMAL, START_DATE DATE, END_DATE DATE, JOB_ID VARCHAR, DEPARTMENT_ID DECIMAL)
CREATE TABLE employees (EMPLOYEE_ID DECIMAL, FIRST_NAME VARCHAR, LAST_NAME VARCHAR, EMAIL VARCHAR, PHONE_NUMBER VARCHAR, HIRE_DATE DATE, JOB_ID VARCHAR, SALARY DECIMAL, COMMISSION_PCT DECIMAL, MANAGER_ID DECIMAL, DEPARTMENT_ID DECIMAL)
| 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, give me the comparison about the average of manager_id over the job_id , and group by attribute job_id. | SELECT JOB_ID, AVG(MANAGER_ID) FROM employees WHERE SALARY BETWEEN 8000 AND 12000 AND COMMISSION_PCT <> "null" OR DEPARTMENT_ID <> 40 GROUP BY JOB_ID | SELECT "JOB_ID", 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) GROUP BY "JOB_ID" | 0.220703 |
CREATE TABLE table_68045 ("Date" TEXT, "Visitor" TEXT, "Score" TEXT, "Home" TEXT, "Record" TEXT)
| What was the record after the January 18 game? | SELECT "Record" FROM table_68045 WHERE "Date" = 'january 18' | SELECT "Record" FROM "table_68045" WHERE "Date" = 'january 18' | 0.060547 |
CREATE TABLE table_11521 ("Date" TEXT, "Visitor" TEXT, "Score" TEXT, "Home" TEXT, "Leading scorer" TEXT, "Attendance" FLOAT, "Record" TEXT)
| What was the score when the mavericks were visitors? | SELECT "Score" FROM table_11521 WHERE "Visitor" = 'mavericks' | SELECT "Score" FROM "table_11521" WHERE "Visitor" = 'mavericks' | 0.061523 |
CREATE TABLE table_39276 ("Year" FLOAT, "Class" TEXT, "Team" TEXT, "Points" FLOAT, "Rank" TEXT, "Wins" FLOAT)
| Which class has a rank of 5th? | SELECT "Class" FROM table_39276 WHERE "Rank" = '5th' | SELECT "Class" FROM "table_39276" WHERE "Rank" = '5th' | 0.052734 |
CREATE TABLE movie (movie_id DECIMAL, title TEXT, year DECIMAL, director TEXT, budget_million DECIMAL, gross_worldwide DECIMAL)
CREATE TABLE culture_company (company_name TEXT, type TEXT, incorporated_in TEXT, group_equity_shareholding DECIMAL, book_club_id TEXT, movie_id TEXT)
CREATE TABLE book_club (book_club_id DECIMAL, year DECIMAL, author_or_editor TEXT, book_title TEXT, publisher TEXT, category TEXT, result TEXT)
| Show all company names with a movie directed in year 1999. | SELECT T2.company_name FROM movie AS T1 JOIN culture_company AS T2 ON T1.movie_id = T2.movie_id WHERE T1.year = 1999 | SELECT "T2"."company_name" FROM "movie" AS "T1" JOIN "culture_company" AS "T2" ON "T1"."movie_id" = "T2"."movie_id" WHERE "T1"."year" = 1999 | 0.136719 |
CREATE TABLE checkin (cid INT, business_id VARCHAR, count INT, day VARCHAR)
CREATE TABLE category (id INT, business_id VARCHAR, category_name VARCHAR)
CREATE TABLE tip (tip_id INT, business_id VARCHAR, text TEXT, user_id VARCHAR, likes INT, year INT, month VARCHAR)
CREATE TABLE review (rid INT, business_id VARCHAR, user_id VARCHAR, rating FLOAT, text TEXT, year INT, month VARCHAR)
CREATE TABLE business (bid INT, business_id VARCHAR, name VARCHAR, full_address VARCHAR, city VARCHAR, latitude VARCHAR, longitude VARCHAR, review_count BIGINT, is_open TINYINT, rating FLOAT, state VARCHAR)
CREATE TABLE user (uid INT, user_id VARCHAR, name VARCHAR)
CREATE TABLE neighborhood (id INT, business_id VARCHAR, neighborhood_name VARCHAR)
| Find all Chinese restaurant in Dallas with at least 4 stars | SELECT business.name FROM business, category AS CATEGORY_0, category AS CATEGORY_1 WHERE business.city = 'Dallas' AND business.rating > 4 AND CATEGORY_0.business_id = business.business_id AND CATEGORY_0.category_name = 'Chinese' AND CATEGORY_1.business_id = business.business_id AND CATEGORY_1.category_name = 'restaurant' | SELECT "business"."name" FROM "business" JOIN "category" AS "CATEGORY_0" ON "CATEGORY_0"."business_id" = "business"."business_id" AND "CATEGORY_0"."category_name" = 'Chinese' JOIN "category" AS "CATEGORY_1" ON "CATEGORY_1"."business_id" = "business"."business_id" AND "CATEGORY_1"."category_name" = 'restaurant' WHERE "business"."city" = 'Dallas' AND "business"."rating" > 4 | 0.365234 |
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
| which patients have the diagnoses of calculus of bile duct without mention of cholecystitis, with obstruction? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE diagnoses.short_title = "Choledochlith NOS w obst" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "Choledochlith NOS w obst" = "diagnoses"."short_title" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" | 0.19043 |
CREATE TABLE airport_service (city_code VARCHAR, airport_code VARCHAR, miles_distant INT, direction VARCHAR, minutes_distant INT)
CREATE TABLE airline (airline_code VARCHAR, airline_name TEXT, note TEXT)
CREATE TABLE time_interval (period TEXT, begin_time INT, end_time INT)
CREATE TABLE month (month_number INT, month_name TEXT)
CREATE TABLE fare_basis (fare_basis_code TEXT, booking_class TEXT, class_type TEXT, premium TEXT, economy TEXT, discounted TEXT, night TEXT, season TEXT, basis_days TEXT)
CREATE TABLE city (city_code VARCHAR, city_name VARCHAR, state_code VARCHAR, country_name VARCHAR, time_zone_code VARCHAR)
CREATE TABLE restriction (restriction_code TEXT, advance_purchase INT, stopovers TEXT, saturday_stay_required TEXT, minimum_stay INT, maximum_stay INT, application TEXT, no_discounts TEXT)
CREATE TABLE date_day (month_number INT, day_number INT, year INT, day_name VARCHAR)
CREATE TABLE compartment_class (compartment VARCHAR, class_type VARCHAR)
CREATE TABLE code_description (code VARCHAR, description TEXT)
CREATE TABLE ground_service (city_code TEXT, airport_code TEXT, transport_type TEXT, ground_fare INT)
CREATE TABLE time_zone (time_zone_code TEXT, time_zone_name TEXT, hours_from_gmt INT)
CREATE TABLE fare (fare_id INT, from_airport VARCHAR, to_airport VARCHAR, fare_basis_code TEXT, fare_airline TEXT, restriction_code TEXT, one_direction_cost INT, round_trip_cost INT, round_trip_required VARCHAR)
CREATE TABLE airport (airport_code VARCHAR, airport_name TEXT, airport_location TEXT, state_code VARCHAR, country_name VARCHAR, time_zone_code VARCHAR, minimum_connect_time INT)
CREATE TABLE dual_carrier (main_airline VARCHAR, low_flight_number INT, high_flight_number INT, dual_airline VARCHAR, service_name TEXT)
CREATE TABLE flight_fare (flight_id INT, fare_id INT)
CREATE TABLE state (state_code TEXT, state_name TEXT, country_name TEXT)
CREATE TABLE flight_leg (flight_id INT, leg_number INT, leg_flight INT)
CREATE TABLE days (days_code VARCHAR, day_name VARCHAR)
CREATE TABLE aircraft (aircraft_code VARCHAR, aircraft_description VARCHAR, manufacturer VARCHAR, basic_type VARCHAR, engines INT, propulsion VARCHAR, wide_body VARCHAR, wing_span INT, length INT, weight INT, capacity INT, pay_load INT, cruising_speed INT, range_miles INT, pressurized VARCHAR)
CREATE TABLE class_of_service (booking_class VARCHAR, rank INT, class_description TEXT)
CREATE TABLE food_service (meal_code TEXT, meal_number INT, compartment TEXT, meal_description VARCHAR)
CREATE TABLE flight_stop (flight_id INT, stop_number INT, stop_days TEXT, stop_airport TEXT, arrival_time INT, arrival_airline TEXT, arrival_flight_number INT, departure_time INT, departure_airline TEXT, departure_flight_number INT, stop_time INT)
CREATE TABLE equipment_sequence (aircraft_code_sequence VARCHAR, aircraft_code VARCHAR)
CREATE TABLE flight (aircraft_code_sequence TEXT, airline_code VARCHAR, airline_flight TEXT, arrival_time INT, connections INT, departure_time INT, dual_carrier TEXT, flight_days TEXT, flight_id INT, flight_number INT, from_airport VARCHAR, meal_code TEXT, stops INT, time_elapsed INT, to_airport VARCHAR)
| i'd like to see all the economy fares from BALTIMORE to PHILADELPHIA | 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 = 'BALTIMORE' AND CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'PHILADELPHIA' AND fare_basis.economy = 'YES' 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" AS "AIRPORT_SERVICE_0" JOIN "city" AS "CITY_0" ON "AIRPORT_SERVICE_0"."city_code" = "CITY_0"."city_code" AND "CITY_0"."city_name" = 'BALTIMORE' JOIN "flight" ON "AIRPORT_SERVICE_0"."airport_code" = "flight"."from_airport" JOIN "airport_service" AS "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" AS "CITY_1" ON "AIRPORT_SERVICE_1"."city_code" = "CITY_1"."city_code" AND "CITY_1"."city_name" = 'PHILADELPHIA' 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"."economy" = 'YES' | 0.734375 |
CREATE TABLE table_28190363_1 (presenter_s_ VARCHAR, name VARCHAR)
| How many sets of presenters are there for the version of the show named Celebrity Masterchef? | SELECT COUNT(presenter_s_) FROM table_28190363_1 WHERE name = "Celebrity MasterChef" | SELECT COUNT("presenter_s_") FROM "table_28190363_1" WHERE "Celebrity MasterChef" = "name" | 0.087891 |
CREATE TABLE Subjects (subject_id INT, subject_name VARCHAR)
CREATE TABLE Courses (course_id INT, author_id INT, subject_id INT, course_name VARCHAR, course_description VARCHAR)
CREATE TABLE Student_Course_Enrolment (registration_id INT, student_id INT, course_id INT, date_of_enrolment DATETIME, date_of_completion DATETIME)
CREATE TABLE Students (student_id INT, date_of_registration DATETIME, date_of_latest_logon DATETIME, login_name VARCHAR, password VARCHAR, personal_name VARCHAR, middle_name VARCHAR, family_name VARCHAR)
CREATE TABLE Course_Authors_and_Tutors (author_id INT, author_tutor_ATB VARCHAR, login_name VARCHAR, password VARCHAR, personal_name VARCHAR, middle_name VARCHAR, family_name VARCHAR, gender_mf VARCHAR, address_line_1 VARCHAR)
CREATE TABLE Student_Tests_Taken (registration_id INT, date_test_taken DATETIME, test_result VARCHAR)
| Draw a bar chart about the distribution of family_name and author_tutor_ATB . | SELECT family_name, author_tutor_ATB FROM Course_Authors_and_Tutors ORDER BY personal_name | SELECT "family_name", "author_tutor_ATB" FROM "Course_Authors_and_Tutors" ORDER BY "personal_name" NULLS FIRST | 0.107422 |
CREATE TABLE table_8286 ("Player" TEXT, "PL Apps" FLOAT, "PL G" FLOAT, "CL Apps" FLOAT, "CL G" FLOAT, "FAC / LC Apps" FLOAT, "FAC / LC G" FLOAT, "Total Apps" FLOAT, "Total G" FLOAT, "FA YC" FLOAT, "UEFA YC" FLOAT)
| What is the sum of the FAC/LC apps with less than 25 PC apps and a UEFA YC less than 0? | SELECT SUM("FAC / LC Apps") FROM table_8286 WHERE "PL Apps" < '25' AND "UEFA YC" < '0' | SELECT SUM("FAC / LC Apps") FROM "table_8286" WHERE "PL Apps" < '25' AND "UEFA YC" < '0' | 0.085938 |
CREATE TABLE table_52677 ("Game" FLOAT, "Date" TEXT, "Team" TEXT, "Score" TEXT, "High points" TEXT, "High rebounds" TEXT, "High assists" TEXT, "Location Attendance" TEXT, "Series" TEXT)
| What date were the high rebounds Evans (14)? | SELECT "Date" FROM table_52677 WHERE "High rebounds" = 'evans (14)' | SELECT "Date" FROM "table_52677" WHERE "High rebounds" = 'evans (14)' | 0.067383 |
CREATE TABLE table_14836 ("Rank" FLOAT, "Lane" FLOAT, "Name" TEXT, "Nationality" TEXT, "Time" TEXT)
| Who swam in a lane less than 6 and finished with a time of 2:11.02? | SELECT "Name" FROM table_14836 WHERE "Lane" < '6' AND "Time" = '2:11.02' | SELECT "Name" FROM "table_14836" WHERE "Lane" < '6' AND "Time" = '2:11.02' | 0.072266 |
CREATE TABLE table_name_61 (december INT, points VARCHAR, game VARCHAR, opponent VARCHAR)
| What's the highest December against the Pittsburgh Penguins in a game larger than 27, with less than 41 points? | SELECT MAX(december) FROM table_name_61 WHERE game > 27 AND opponent = "pittsburgh penguins" AND points < 41 | SELECT MAX("december") FROM "table_name_61" WHERE "game" > 27 AND "opponent" = "pittsburgh penguins" AND "points" < 41 | 0.115234 |
CREATE TABLE table_2003 ("Institution" TEXT, "Location" TEXT, "Founded" FLOAT, "Affiliation" TEXT, "Enrollment" FLOAT, "Year Joined" FLOAT, "Nickname" TEXT, "Conference" TEXT)
| Where is the University that is also called Owls? | SELECT "Location" FROM table_2003 WHERE "Nickname" = 'Owls' | SELECT "Location" FROM "table_2003" WHERE "Nickname" = 'Owls' | 0.05957 |
CREATE TABLE table_204_74 (id DECIMAL, "#" DECIMAL, "title" TEXT, "producers" TEXT, "guest performers" TEXT, "length" TEXT)
| how many tracks on trae 's album life goes on ? | SELECT COUNT("title") FROM table_204_74 | SELECT COUNT("title") FROM "table_204_74" | 0.040039 |
CREATE TABLE chartevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE procedures_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE inputevents_cv (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, amount DECIMAL)
CREATE TABLE admissions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, admittime TIME, dischtime TIME, admission_type TEXT, admission_location TEXT, discharge_location TEXT, insurance TEXT, language TEXT, marital_status TEXT, ethnicity TEXT, age DECIMAL)
CREATE TABLE d_labitems (row_id DECIMAL, itemid DECIMAL, label TEXT)
CREATE TABLE prescriptions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, startdate TIME, enddate TIME, drug TEXT, dose_val_rx TEXT, dose_unit_rx TEXT, route TEXT)
CREATE TABLE cost (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, event_type TEXT, event_id DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE d_items (row_id DECIMAL, itemid DECIMAL, label TEXT, linksto TEXT)
CREATE TABLE labevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE diagnoses_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE patients (row_id DECIMAL, subject_id DECIMAL, gender TEXT, dob TIME, dod TIME)
CREATE TABLE transfers (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, eventtype TEXT, careunit TEXT, wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE icustays (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, first_careunit TEXT, last_careunit TEXT, first_wardid DECIMAL, last_wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE d_icd_diagnoses (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE outputevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, value DECIMAL)
CREATE TABLE microbiologyevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, charttime TIME, spec_type_desc TEXT, org_name TEXT)
CREATE TABLE d_icd_procedures (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
| what is the name of the drug that was prescribed two or more times to patient 16992 in 02/2105? | SELECT t1.drug FROM (SELECT prescriptions.drug, COUNT(prescriptions.startdate) AS c1 FROM prescriptions WHERE prescriptions.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 16992) AND STRFTIME('%y-%m', prescriptions.startdate) = '2105-02' GROUP BY prescriptions.drug) AS t1 WHERE t1.c1 >= 2 | WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 16992 GROUP BY "hadm_id"), "t1" AS (SELECT "prescriptions"."drug", COUNT("prescriptions"."startdate") AS "c1" FROM "prescriptions" LEFT JOIN "_u_0" AS "_u_0" ON "_u_0"."" = "prescriptions"."hadm_id" WHERE NOT "_u_0"."" IS NULL AND STRFTIME('%y-%m', "prescriptions"."startdate") = '2105-02' GROUP BY "prescriptions"."drug") SELECT "t1"."drug" FROM "t1" AS "t1" WHERE "t1"."c1" >= 2 | 0.466797 |
CREATE TABLE table_name_6 (player VARCHAR, to_par VARCHAR, country VARCHAR)
| What player has E as the to par, and The United States as the country? | SELECT player FROM table_name_6 WHERE to_par = "e" AND country = "united states" | SELECT "player" FROM "table_name_6" WHERE "country" = "united states" AND "e" = "to_par" | 0.085938 |
CREATE TABLE month (month_number INT, month_name TEXT)
CREATE TABLE airline (airline_code VARCHAR, airline_name TEXT, note TEXT)
CREATE TABLE airport (airport_code VARCHAR, airport_name TEXT, airport_location TEXT, state_code VARCHAR, country_name VARCHAR, time_zone_code VARCHAR, minimum_connect_time INT)
CREATE TABLE date_day (month_number INT, day_number INT, year INT, day_name VARCHAR)
CREATE TABLE flight (aircraft_code_sequence TEXT, airline_code VARCHAR, airline_flight TEXT, arrival_time INT, connections INT, departure_time INT, dual_carrier TEXT, flight_days TEXT, flight_id INT, flight_number INT, from_airport VARCHAR, meal_code TEXT, stops INT, time_elapsed INT, to_airport VARCHAR)
CREATE TABLE city (city_code VARCHAR, city_name VARCHAR, state_code VARCHAR, country_name VARCHAR, time_zone_code VARCHAR)
CREATE TABLE ground_service (city_code TEXT, airport_code TEXT, transport_type TEXT, ground_fare INT)
CREATE TABLE class_of_service (booking_class VARCHAR, rank INT, class_description TEXT)
CREATE TABLE time_interval (period TEXT, begin_time INT, end_time INT)
CREATE TABLE dual_carrier (main_airline VARCHAR, low_flight_number INT, high_flight_number INT, dual_airline VARCHAR, service_name TEXT)
CREATE TABLE state (state_code TEXT, state_name TEXT, country_name TEXT)
CREATE TABLE flight_fare (flight_id INT, fare_id INT)
CREATE TABLE equipment_sequence (aircraft_code_sequence VARCHAR, aircraft_code VARCHAR)
CREATE TABLE aircraft (aircraft_code VARCHAR, aircraft_description VARCHAR, manufacturer VARCHAR, basic_type VARCHAR, engines INT, propulsion VARCHAR, wide_body VARCHAR, wing_span INT, length INT, weight INT, capacity INT, pay_load INT, cruising_speed INT, range_miles INT, pressurized VARCHAR)
CREATE TABLE food_service (meal_code TEXT, meal_number INT, compartment TEXT, meal_description VARCHAR)
CREATE TABLE fare_basis (fare_basis_code TEXT, booking_class TEXT, class_type TEXT, premium TEXT, economy TEXT, discounted TEXT, night TEXT, season TEXT, basis_days TEXT)
CREATE TABLE compartment_class (compartment VARCHAR, class_type VARCHAR)
CREATE TABLE flight_stop (flight_id INT, stop_number INT, stop_days TEXT, stop_airport TEXT, arrival_time INT, arrival_airline TEXT, arrival_flight_number INT, departure_time INT, departure_airline TEXT, departure_flight_number INT, stop_time INT)
CREATE TABLE restriction (restriction_code TEXT, advance_purchase INT, stopovers TEXT, saturday_stay_required TEXT, minimum_stay INT, maximum_stay INT, application TEXT, no_discounts TEXT)
CREATE TABLE days (days_code VARCHAR, day_name VARCHAR)
CREATE TABLE time_zone (time_zone_code TEXT, time_zone_name TEXT, hours_from_gmt INT)
CREATE TABLE fare (fare_id INT, from_airport VARCHAR, to_airport VARCHAR, fare_basis_code TEXT, fare_airline TEXT, restriction_code TEXT, one_direction_cost INT, round_trip_cost INT, round_trip_required VARCHAR)
CREATE TABLE code_description (code VARCHAR, description TEXT)
CREATE TABLE flight_leg (flight_id INT, leg_number INT, leg_flight INT)
CREATE TABLE airport_service (city_code VARCHAR, airport_code VARCHAR, miles_distant INT, direction VARCHAR, minutes_distant INT)
| RAPID TRANSIT to NEWARK | SELECT DISTINCT ground_service.transport_type FROM city, ground_service WHERE city.city_name = 'NEWARK' AND ground_service.city_code = city.city_code AND ground_service.transport_type = 'RAPID TRANSIT' | SELECT DISTINCT "ground_service"."transport_type" FROM "city" JOIN "ground_service" ON "city"."city_code" = "ground_service"."city_code" AND "ground_service"."transport_type" = 'RAPID TRANSIT' WHERE "city"."city_name" = 'NEWARK' | 0.222656 |
CREATE TABLE table_name_88 (runner_up VARCHAR, winner VARCHAR, season VARCHAR)
| What was the Runner-up during the 2005-06 Season with Kiveton Park as the Winner? | SELECT runner_up FROM table_name_88 WHERE winner = "kiveton park" AND season = "2005-06" | SELECT "runner_up" FROM "table_name_88" WHERE "2005-06" = "season" AND "kiveton park" = "winner" | 0.09375 |
CREATE TABLE patients (row_id DECIMAL, subject_id DECIMAL, gender TEXT, dob TIME, dod TIME)
CREATE TABLE d_labitems (row_id DECIMAL, itemid DECIMAL, label TEXT)
CREATE TABLE prescriptions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, startdate TIME, enddate TIME, drug TEXT, dose_val_rx TEXT, dose_unit_rx TEXT, route TEXT)
CREATE TABLE labevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE diagnoses_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE icustays (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, first_careunit TEXT, last_careunit TEXT, first_wardid DECIMAL, last_wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE admissions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, admittime TIME, dischtime TIME, admission_type TEXT, admission_location TEXT, discharge_location TEXT, insurance TEXT, language TEXT, marital_status TEXT, ethnicity TEXT, age DECIMAL)
CREATE TABLE d_icd_diagnoses (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE procedures_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE inputevents_cv (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, amount DECIMAL)
CREATE TABLE microbiologyevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, charttime TIME, spec_type_desc TEXT, org_name TEXT)
CREATE TABLE d_items (row_id DECIMAL, itemid DECIMAL, label TEXT, linksto TEXT)
CREATE TABLE chartevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE d_icd_procedures (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE transfers (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, eventtype TEXT, careunit TEXT, wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE outputevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, value DECIMAL)
CREATE TABLE cost (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, event_type TEXT, event_id DECIMAL, chargetime TIME, cost DECIMAL)
| what is the maximum hospital cost when it involves epilep nec w/o intr epil the last year? | SELECT MAX(t1.c1) FROM (SELECT SUM(cost.cost) AS c1 FROM cost WHERE cost.hadm_id IN (SELECT diagnoses_icd.hadm_id FROM diagnoses_icd WHERE diagnoses_icd.icd9_code = (SELECT d_icd_diagnoses.icd9_code FROM d_icd_diagnoses WHERE d_icd_diagnoses.short_title = 'epilep nec w/o intr epil')) AND DATETIME(cost.chargetime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year') GROUP BY cost.hadm_id) AS t1 | WITH "_u_1" AS (SELECT "diagnoses_icd"."hadm_id" FROM "diagnoses_icd" JOIN "d_icd_diagnoses" ON "d_icd_diagnoses"."icd9_code" = "diagnoses_icd"."icd9_code" AND "d_icd_diagnoses"."short_title" = 'epilep nec w/o intr epil' GROUP BY "hadm_id"), "t1" AS (SELECT SUM("cost"."cost") AS "c1" FROM "cost" LEFT JOIN "_u_1" AS "_u_1" ON "_u_1"."" = "cost"."hadm_id" WHERE DATETIME("cost"."chargetime", 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year') AND NOT "_u_1"."" IS NULL GROUP BY "cost"."hadm_id") SELECT MAX("t1"."c1") FROM "t1" AS "t1" | 0.542969 |
CREATE TABLE table_25793 ("Rank" FLOAT, "City/Town" TEXT, "County" TEXT, "Region/Province" TEXT, "Population" FLOAT, "Country" TEXT)
| When fleetwood is the city/town how many sets of population are there? | SELECT COUNT("Population") FROM table_25793 WHERE "City/Town" = 'Fleetwood' | SELECT COUNT("Population") FROM "table_25793" WHERE "City/Town" = 'Fleetwood' | 0.075195 |
CREATE TABLE table_13512105_3 (rnd VARCHAR, race VARCHAR)
| tell the number of times where kansas was the location | SELECT COUNT(rnd) FROM table_13512105_3 WHERE race = "Kansas" | SELECT COUNT("rnd") FROM "table_13512105_3" WHERE "Kansas" = "race" | 0.06543 |
CREATE TABLE table_22141 ("Year [e ] ( Ceremony ) " TEXT, "Film title used in nomination" TEXT, "Original title" TEXT, "Director" TEXT, "Main Language ( s ) " TEXT, "Result" TEXT)
| how many times was 27 missing kisses used in nomination | SELECT COUNT("Year [e ] (Ceremony)") FROM table_22141 WHERE "Film title used in nomination" = '27 Missing Kisses' | SELECT COUNT("Year [e ] (Ceremony)") FROM "table_22141" WHERE "Film title used in nomination" = '27 Missing Kisses' | 0.112305 |
CREATE TABLE table_22188 ("State" TEXT, "City" TEXT, "Population" FLOAT, "Violent Crime" TEXT, "Murder and Non-Negligent Manslaughter" TEXT, "Forcible Rape" TEXT, "Robbery" TEXT, "Aggravated Assault" TEXT, "Property Crime" TEXT, "Burglary" TEXT, "Larceny-Theft" TEXT, "Motor Vehicle Theft" TEXT)
| What was the population of Minneapolis in 2012? | SELECT MAX("Population") FROM table_22188 WHERE "City" = 'Minneapolis' | SELECT MAX("Population") FROM "table_22188" WHERE "City" = 'Minneapolis' | 0.070313 |
CREATE TABLE ReviewTaskResults (Id DECIMAL, ReviewTaskId DECIMAL, ReviewTaskResultTypeId DECIMAL, CreationDate TIME, RejectionReasonId DECIMAL, Comment TEXT)
CREATE TABLE PostTypes (Id DECIMAL, Name TEXT)
CREATE TABLE SuggestedEditVotes (Id DECIMAL, SuggestedEditId DECIMAL, UserId DECIMAL, VoteTypeId DECIMAL, CreationDate TIME, TargetUserId DECIMAL, TargetRepChange DECIMAL)
CREATE TABLE FlagTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE PostHistory (Id DECIMAL, PostHistoryTypeId DECIMAL, PostId DECIMAL, RevisionGUID other, CreationDate TIME, UserId DECIMAL, UserDisplayName TEXT, Comment TEXT, Text TEXT, ContentLicense TEXT)
CREATE TABLE PostNotices (Id DECIMAL, PostId DECIMAL, PostNoticeTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body TEXT, OwnerUserId DECIMAL, DeletionUserId DECIMAL)
CREATE TABLE PostNoticeTypes (Id DECIMAL, ClassId DECIMAL, Name TEXT, Body TEXT, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId DECIMAL)
CREATE TABLE PostTags (PostId DECIMAL, TagId DECIMAL)
CREATE TABLE ReviewTaskTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE TagSynonyms (Id DECIMAL, SourceTagName TEXT, TargetTagName TEXT, CreationDate TIME, OwnerUserId DECIMAL, AutoRenameCount DECIMAL, LastAutoRename TIME, Score DECIMAL, ApprovedByUserId DECIMAL, ApprovalDate TIME)
CREATE TABLE Users (Id DECIMAL, Reputation DECIMAL, CreationDate TIME, DisplayName TEXT, LastAccessDate TIME, WebsiteUrl TEXT, Location TEXT, AboutMe TEXT, Views DECIMAL, UpVotes DECIMAL, DownVotes DECIMAL, ProfileImageUrl TEXT, EmailHash TEXT, AccountId DECIMAL)
CREATE TABLE PostHistoryTypes (Id DECIMAL, Name TEXT)
CREATE TABLE PostsWithDeleted (Id DECIMAL, PostTypeId DECIMAL, AcceptedAnswerId DECIMAL, ParentId DECIMAL, CreationDate TIME, DeletionDate TIME, Score DECIMAL, ViewCount DECIMAL, Body TEXT, OwnerUserId DECIMAL, OwnerDisplayName TEXT, LastEditorUserId DECIMAL, LastEditorDisplayName TEXT, LastEditDate TIME, LastActivityDate TIME, Title TEXT, Tags TEXT, AnswerCount DECIMAL, CommentCount DECIMAL, FavoriteCount DECIMAL, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense TEXT)
CREATE TABLE CloseAsOffTopicReasonTypes (Id DECIMAL, IsUniversal BOOLEAN, InputTitle TEXT, MarkdownInputGuidance TEXT, MarkdownPostOwnerGuidance TEXT, MarkdownPrivilegedUserGuidance TEXT, MarkdownConcensusDescription TEXT, CreationDate TIME, CreationModeratorId DECIMAL, ApprovalDate TIME, ApprovalModeratorId DECIMAL, DeactivationDate TIME, DeactivationModeratorId DECIMAL)
CREATE TABLE ReviewTaskResultTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE ReviewTaskStates (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE ReviewRejectionReasons (Id DECIMAL, Name TEXT, Description TEXT, PostTypeId DECIMAL)
CREATE TABLE PostLinks (Id DECIMAL, CreationDate TIME, PostId DECIMAL, RelatedPostId DECIMAL, LinkTypeId DECIMAL)
CREATE TABLE Comments (Id DECIMAL, PostId DECIMAL, Score DECIMAL, Text TEXT, CreationDate TIME, UserDisplayName TEXT, UserId DECIMAL, ContentLicense TEXT)
CREATE TABLE VoteTypes (Id DECIMAL, Name TEXT)
CREATE TABLE Posts (Id DECIMAL, PostTypeId DECIMAL, AcceptedAnswerId DECIMAL, ParentId DECIMAL, CreationDate TIME, DeletionDate TIME, Score DECIMAL, ViewCount DECIMAL, Body TEXT, OwnerUserId DECIMAL, OwnerDisplayName TEXT, LastEditorUserId DECIMAL, LastEditorDisplayName TEXT, LastEditDate TIME, LastActivityDate TIME, Title TEXT, Tags TEXT, AnswerCount DECIMAL, CommentCount DECIMAL, FavoriteCount DECIMAL, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense TEXT)
CREATE TABLE Votes (Id DECIMAL, PostId DECIMAL, VoteTypeId DECIMAL, UserId DECIMAL, CreationDate TIME, BountyAmount DECIMAL)
CREATE TABLE SuggestedEdits (Id DECIMAL, PostId DECIMAL, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId DECIMAL, Comment TEXT, Text TEXT, Title TEXT, Tags TEXT, RevisionGUID other)
CREATE TABLE PendingFlags (Id DECIMAL, FlagTypeId DECIMAL, PostId DECIMAL, CreationDate TIME, CloseReasonTypeId DECIMAL, CloseAsOffTopicReasonTypeId DECIMAL, DuplicateOfQuestionId DECIMAL, BelongsOnBaseHostAddress TEXT)
CREATE TABLE Tags (Id DECIMAL, TagName TEXT, Count DECIMAL, ExcerptPostId DECIMAL, WikiPostId DECIMAL)
CREATE TABLE Badges (Id DECIMAL, UserId DECIMAL, Name TEXT, Date TIME, Class DECIMAL, TagBased BOOLEAN)
CREATE TABLE CloseReasonTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE PostFeedback (Id DECIMAL, PostId DECIMAL, IsAnonymous BOOLEAN, VoteTypeId DECIMAL, CreationDate TIME)
CREATE TABLE ReviewTasks (Id DECIMAL, ReviewTaskTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId DECIMAL, PostId DECIMAL, SuggestedEditId DECIMAL, CompletedByReviewTaskId DECIMAL)
| Tag Wiki Excerpts that start with 'Do not use'. | SELECT Tags.TagName FROM Tags INNER JOIN Posts ON Tags.ExcerptPostId = Posts.Id WHERE LOWER(Posts.Body) LIKE '%off-topic%' OR LOWER(Posts.Body) LIKE '%don''t use%' | SELECT "Tags"."TagName" FROM "Tags" JOIN "Posts" ON "Posts"."Id" = "Tags"."ExcerptPostId" AND (LOWER("Posts"."Body") LIKE '%don\'t use%' OR LOWER("Posts"."Body") LIKE '%off-topic%') | 0.176758 |
CREATE TABLE member (Member_ID INT, Member_Name TEXT, Party_ID TEXT, In_office TEXT)
CREATE TABLE party_events (Event_ID INT, Event_Name TEXT, Party_ID INT, Member_in_charge_ID INT)
CREATE TABLE region (Region_ID INT, Region_name TEXT, Date TEXT, Label TEXT, Format TEXT, Catalogue TEXT)
CREATE TABLE party (Party_ID INT, Minister TEXT, Took_office TEXT, Left_office TEXT, Region_ID INT, Party_name TEXT)
| How many members are in each party Show bar chart, and rank in desc by the y-axis. | SELECT Party_name, COUNT(*) FROM member AS T1 JOIN party AS T2 ON T1.Party_ID = T2.Party_ID GROUP BY T1.Party_ID ORDER BY COUNT(*) DESC | SELECT "Party_name", COUNT(*) FROM "member" AS "T1" JOIN "party" AS "T2" ON "T1"."Party_ID" = "T2"."Party_ID" GROUP BY "T1"."Party_ID" ORDER BY COUNT(*) DESC NULLS LAST | 0.164063 |
CREATE TABLE table_64960 ("Date" TEXT, "Opponent" TEXT, "Score" TEXT, "Loss" TEXT, "Attendance" FLOAT, "Record" TEXT, "Arena" TEXT, "Points" FLOAT)
| Which Arena has Points larger than 28, and a Date of december 14? | SELECT "Arena" FROM table_64960 WHERE "Points" > '28' AND "Date" = 'december 14' | SELECT "Arena" FROM "table_64960" WHERE "Date" = 'december 14' AND "Points" > '28' | 0.080078 |
CREATE TABLE table_5343 ("Nation" TEXT, "Gold" FLOAT, "Silver" FLOAT, "Bronze" FLOAT, "Total" FLOAT)
| Gold larger than 0, and a Bronze larger than 1 includes what total number of silver? | SELECT COUNT("Silver") FROM table_5343 WHERE "Gold" > '0' AND "Bronze" > '1' | SELECT COUNT("Silver") FROM "table_5343" WHERE "Bronze" > '1' AND "Gold" > '0' | 0.076172 |
CREATE TABLE table_25341765_1 (us_viewers__million_ VARCHAR, directed_by VARCHAR)
| How many millions of viewers did the episode directed by Jeffrey Blitz have? | SELECT us_viewers__million_ FROM table_25341765_1 WHERE directed_by = "Jeffrey Blitz" | SELECT "us_viewers__million_" FROM "table_25341765_1" WHERE "Jeffrey Blitz" = "directed_by" | 0.088867 |
CREATE TABLE table_35701 ("Track" TEXT, "City" TEXT, "State" TEXT, "Opened ( closing date if defunct ) " TEXT, "Surface" TEXT, "Length" TEXT)
| What is the surface for the riverhead raceway? | SELECT "Surface" FROM table_35701 WHERE "Track" = 'riverhead raceway' | SELECT "Surface" FROM "table_35701" WHERE "Track" = 'riverhead raceway' | 0.069336 |
CREATE TABLE pilot (pilot_id DECIMAL, pilot_name TEXT, rank DECIMAL, age DECIMAL, nationality TEXT, position TEXT, join_year DECIMAL, team TEXT)
CREATE TABLE pilot_record (record_id DECIMAL, pilot_id DECIMAL, aircraft_id DECIMAL, date TEXT)
CREATE TABLE aircraft (aircraft_id DECIMAL, order_year DECIMAL, manufacturer TEXT, model TEXT, fleet_series TEXT, powertrain TEXT, fuel_propulsion TEXT)
| Show the names of pilots and fleet series of the aircrafts they have flied with in ascending order of the rank of the pilot. | SELECT T3.pilot_name, T2.fleet_series FROM pilot_record AS T1 JOIN aircraft AS T2 ON T1.aircraft_id = T2.aircraft_id JOIN pilot AS T3 ON T1.pilot_id = T3.pilot_id ORDER BY T3.rank | SELECT "T3"."pilot_name", "T2"."fleet_series" FROM "pilot_record" AS "T1" JOIN "aircraft" AS "T2" ON "T1"."aircraft_id" = "T2"."aircraft_id" JOIN "pilot" AS "T3" ON "T1"."pilot_id" = "T3"."pilot_id" ORDER BY "T3"."rank" NULLS FIRST | 0.225586 |
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
| count the number of patients whose insurance is government and procedure short title is skin closure nec? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.insurance = "Government" AND procedures.short_title = "Skin closure NEC" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "procedures" ON "Skin closure NEC" = "procedures"."short_title" AND "demographic"."hadm_id" = "procedures"."hadm_id" WHERE "Government" = "demographic"."insurance" | 0.231445 |
CREATE TABLE table_name_54 (opponent VARCHAR, result VARCHAR, type VARCHAR)
| Who did Tony Oakey win against when he had type of w pts 12? | SELECT opponent FROM table_name_54 WHERE result = "win" AND type = "w pts 12" | SELECT "opponent" FROM "table_name_54" WHERE "result" = "win" AND "type" = "w pts 12" | 0.083008 |
CREATE TABLE table_name_54 (school VARCHAR, team_name VARCHAR)
| What school had a team name of the Trojans? | SELECT school FROM table_name_54 WHERE team_name = "trojans" | SELECT "school" FROM "table_name_54" WHERE "team_name" = "trojans" | 0.064453 |
CREATE TABLE table_test_7 ("id" INT, "bleeding" INT, "left_ventricular_ejection_fraction_lvef" INT, "intra_aortic_balloon_pump_iabp" BOOLEAN, "systolic_blood_pressure_sbp" INT, "dialysis" BOOLEAN, "intravenous_pressors" BOOLEAN, "non_infarct_related_vessel" BOOLEAN, "heart_disease" BOOLEAN, "body_weight" FLOAT, "creatinine_clearance_cl" FLOAT, "intermediate_stenosis" INT, "cardiogenic_shock" BOOLEAN, "platelet_count" FLOAT, "hemodynamic_instability" BOOLEAN, "liver_disease" BOOLEAN, "child_pugh_score" INT, "age" FLOAT, "NOUSE" FLOAT)
| creatinine clearance < 30 ml / min or dialysis | SELECT * FROM table_test_7 WHERE creatinine_clearance_cl < 30 OR dialysis = 1 | SELECT * FROM "table_test_7" WHERE "creatinine_clearance_cl" < 30 OR "dialysis" = 1 | 0.081055 |
CREATE TABLE table_203_494 (id DECIMAL, "party" TEXT, "votes" DECIMAL, "%" DECIMAL, "swing" DECIMAL, "seats" DECIMAL, "change" DECIMAL)
| which party held the most seats but had a lesser turnout ? | SELECT "party" FROM table_203_494 ORDER BY "seats" DESC LIMIT 1 | SELECT "party" FROM "table_203_494" ORDER BY "seats" DESC NULLS LAST LIMIT 1 | 0.074219 |
CREATE TABLE PostNoticeTypes (Id DECIMAL, ClassId DECIMAL, Name TEXT, Body TEXT, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId DECIMAL)
CREATE TABLE VoteTypes (Id DECIMAL, Name TEXT)
CREATE TABLE CloseAsOffTopicReasonTypes (Id DECIMAL, IsUniversal BOOLEAN, InputTitle TEXT, MarkdownInputGuidance TEXT, MarkdownPostOwnerGuidance TEXT, MarkdownPrivilegedUserGuidance TEXT, MarkdownConcensusDescription TEXT, CreationDate TIME, CreationModeratorId DECIMAL, ApprovalDate TIME, ApprovalModeratorId DECIMAL, DeactivationDate TIME, DeactivationModeratorId DECIMAL)
CREATE TABLE TagSynonyms (Id DECIMAL, SourceTagName TEXT, TargetTagName TEXT, CreationDate TIME, OwnerUserId DECIMAL, AutoRenameCount DECIMAL, LastAutoRename TIME, Score DECIMAL, ApprovedByUserId DECIMAL, ApprovalDate TIME)
CREATE TABLE PostNotices (Id DECIMAL, PostId DECIMAL, PostNoticeTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body TEXT, OwnerUserId DECIMAL, DeletionUserId DECIMAL)
CREATE TABLE ReviewTaskResultTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE Badges (Id DECIMAL, UserId DECIMAL, Name TEXT, Date TIME, Class DECIMAL, TagBased BOOLEAN)
CREATE TABLE ReviewTaskTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE SuggestedEditVotes (Id DECIMAL, SuggestedEditId DECIMAL, UserId DECIMAL, VoteTypeId DECIMAL, CreationDate TIME, TargetUserId DECIMAL, TargetRepChange DECIMAL)
CREATE TABLE FlagTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE PostFeedback (Id DECIMAL, PostId DECIMAL, IsAnonymous BOOLEAN, VoteTypeId DECIMAL, CreationDate TIME)
CREATE TABLE PendingFlags (Id DECIMAL, FlagTypeId DECIMAL, PostId DECIMAL, CreationDate TIME, CloseReasonTypeId DECIMAL, CloseAsOffTopicReasonTypeId DECIMAL, DuplicateOfQuestionId DECIMAL, BelongsOnBaseHostAddress TEXT)
CREATE TABLE ReviewTasks (Id DECIMAL, ReviewTaskTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId DECIMAL, PostId DECIMAL, SuggestedEditId DECIMAL, CompletedByReviewTaskId DECIMAL)
CREATE TABLE Users (Id DECIMAL, Reputation DECIMAL, CreationDate TIME, DisplayName TEXT, LastAccessDate TIME, WebsiteUrl TEXT, Location TEXT, AboutMe TEXT, Views DECIMAL, UpVotes DECIMAL, DownVotes DECIMAL, ProfileImageUrl TEXT, EmailHash TEXT, AccountId DECIMAL)
CREATE TABLE Votes (Id DECIMAL, PostId DECIMAL, VoteTypeId DECIMAL, UserId DECIMAL, CreationDate TIME, BountyAmount DECIMAL)
CREATE TABLE ReviewTaskResults (Id DECIMAL, ReviewTaskId DECIMAL, ReviewTaskResultTypeId DECIMAL, CreationDate TIME, RejectionReasonId DECIMAL, Comment TEXT)
CREATE TABLE Tags (Id DECIMAL, TagName TEXT, Count DECIMAL, ExcerptPostId DECIMAL, WikiPostId DECIMAL)
CREATE TABLE PostLinks (Id DECIMAL, CreationDate TIME, PostId DECIMAL, RelatedPostId DECIMAL, LinkTypeId DECIMAL)
CREATE TABLE SuggestedEdits (Id DECIMAL, PostId DECIMAL, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId DECIMAL, Comment TEXT, Text TEXT, Title TEXT, Tags TEXT, RevisionGUID other)
CREATE TABLE PostsWithDeleted (Id DECIMAL, PostTypeId DECIMAL, AcceptedAnswerId DECIMAL, ParentId DECIMAL, CreationDate TIME, DeletionDate TIME, Score DECIMAL, ViewCount DECIMAL, Body TEXT, OwnerUserId DECIMAL, OwnerDisplayName TEXT, LastEditorUserId DECIMAL, LastEditorDisplayName TEXT, LastEditDate TIME, LastActivityDate TIME, Title TEXT, Tags TEXT, AnswerCount DECIMAL, CommentCount DECIMAL, FavoriteCount DECIMAL, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense TEXT)
CREATE TABLE PostHistory (Id DECIMAL, PostHistoryTypeId DECIMAL, PostId DECIMAL, RevisionGUID other, CreationDate TIME, UserId DECIMAL, UserDisplayName TEXT, Comment TEXT, Text TEXT, ContentLicense TEXT)
CREATE TABLE PostTags (PostId DECIMAL, TagId DECIMAL)
CREATE TABLE Comments (Id DECIMAL, PostId DECIMAL, Score DECIMAL, Text TEXT, CreationDate TIME, UserDisplayName TEXT, UserId DECIMAL, ContentLicense TEXT)
CREATE TABLE PostHistoryTypes (Id DECIMAL, Name TEXT)
CREATE TABLE PostTypes (Id DECIMAL, Name TEXT)
CREATE TABLE ReviewTaskStates (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE CloseReasonTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE ReviewRejectionReasons (Id DECIMAL, Name TEXT, Description TEXT, PostTypeId DECIMAL)
CREATE TABLE Posts (Id DECIMAL, PostTypeId DECIMAL, AcceptedAnswerId DECIMAL, ParentId DECIMAL, CreationDate TIME, DeletionDate TIME, Score DECIMAL, ViewCount DECIMAL, Body TEXT, OwnerUserId DECIMAL, OwnerDisplayName TEXT, LastEditorUserId DECIMAL, LastEditorDisplayName TEXT, LastEditDate TIME, LastActivityDate TIME, Title TEXT, Tags TEXT, AnswerCount DECIMAL, CommentCount DECIMAL, FavoriteCount DECIMAL, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense TEXT)
| Search for explicit comment replies from user A to user B. Search for comments where user A replied to user B with an explicit @userB ping. | SELECT ('site://q/' + CAST(reply.PostId AS TEXT(9)) + '#comment' + CAST(reply.Id AS TEXT(9)) + '_' + CAST(reply.PostId AS TEXT(9)) + '|' + reply.Text) AS "text", reply.CreationDate AS "date", reply.Score AS "score" FROM Comments AS reply WHERE reply.UserId = '##AuthorUserId##' AND reply.Text LIKE '%@##TargetName##%' ORDER BY reply.CreationDate | SELECT CONCAT(CONCAT(CONCAT(CONCAT(CONCAT(CONCAT('site://q/', CAST("reply"."PostId" AS TEXT(9))), '#comment'), CAST("reply"."Id" AS TEXT(9))), '_'), CAST("reply"."PostId" AS TEXT(9))), '|') + "reply"."Text" AS "text", "reply"."CreationDate" AS "date", "reply"."Score" AS "score" FROM "Comments" AS "reply" WHERE "reply"."Text" LIKE '%@##TargetName##%' AND "reply"."UserId" = '##AuthorUserId##' ORDER BY "reply"."CreationDate" NULLS FIRST | 0.426758 |
CREATE TABLE volume (volume_id DECIMAL, volume_issue TEXT, issue_date TEXT, weeks_on_top DECIMAL, song TEXT, artist_id DECIMAL)
CREATE TABLE music_festival (id DECIMAL, music_festival TEXT, date_of_ceremony TEXT, category TEXT, volume DECIMAL, result TEXT)
CREATE TABLE artist (artist_id DECIMAL, artist TEXT, age DECIMAL, famous_title TEXT, famous_release_date TEXT)
| What are the category of music festivals with result 'Awarded'? | SELECT category FROM music_festival WHERE result = "Awarded" | SELECT "category" FROM "music_festival" WHERE "Awarded" = "result" | 0.064453 |
CREATE TABLE table_name_80 (rank VARCHAR, player VARCHAR)
| What rank has andy bichel (qld) as the player? | SELECT rank FROM table_name_80 WHERE player = "andy bichel (qld)" | SELECT "rank" FROM "table_name_80" WHERE "andy bichel (qld)" = "player" | 0.069336 |
CREATE TABLE course_offering (offering_id INT, course_id INT, semester INT, section_number INT, start_time TIME, end_time TIME, monday VARCHAR, tuesday VARCHAR, wednesday VARCHAR, thursday VARCHAR, friday VARCHAR, saturday VARCHAR, sunday VARCHAR, has_final_project VARCHAR, has_final_exam VARCHAR, textbook VARCHAR, class_address VARCHAR, allow_audit VARCHAR)
CREATE TABLE course (course_id INT, name VARCHAR, department VARCHAR, number VARCHAR, credits VARCHAR, advisory_requirement VARCHAR, enforced_requirement VARCHAR, description VARCHAR, num_semesters INT, num_enrolled INT, has_discussion VARCHAR, has_lab VARCHAR, has_projects VARCHAR, has_exams VARCHAR, num_reviews INT, clarity_score INT, easiness_score INT, helpfulness_score INT)
CREATE TABLE offering_instructor (offering_instructor_id INT, offering_id INT, instructor_id INT)
CREATE TABLE ta (campus_job_id INT, student_id INT, location VARCHAR)
CREATE TABLE student_record (student_id INT, course_id INT, semester INT, grade VARCHAR, how VARCHAR, transfer_source VARCHAR, earn_credit VARCHAR, repeat_term VARCHAR, test_id VARCHAR)
CREATE TABLE course_tags_count (course_id INT, clear_grading INT, pop_quiz INT, group_projects INT, inspirational INT, long_lectures INT, extra_credit INT, few_tests INT, good_feedback INT, tough_tests INT, heavy_papers INT, cares_for_students INT, heavy_assignments INT, respected INT, participation INT, heavy_reading INT, tough_grader INT, hilarious INT, would_take_again INT, good_lecture INT, no_skip INT)
CREATE TABLE gsi (course_offering_id INT, student_id INT)
CREATE TABLE program_requirement (program_id INT, category VARCHAR, min_credit INT, additional_req VARCHAR)
CREATE TABLE semester (semester_id INT, semester VARCHAR, year INT)
CREATE TABLE instructor (instructor_id INT, name VARCHAR, uniqname VARCHAR)
CREATE TABLE comment_instructor (instructor_id INT, student_id INT, score INT, comment_text VARCHAR)
CREATE TABLE student (student_id INT, lastname VARCHAR, firstname VARCHAR, program_id INT, declare_major VARCHAR, total_credit INT, total_gpa FLOAT, entered_as VARCHAR, admit_term INT, predicted_graduation_semester INT, degree VARCHAR, minor VARCHAR, internship VARCHAR)
CREATE TABLE course_prerequisite (pre_course_id INT, course_id INT)
CREATE TABLE program (program_id INT, name VARCHAR, college VARCHAR, introduction VARCHAR)
CREATE TABLE requirement (requirement_id INT, requirement VARCHAR, college VARCHAR)
CREATE TABLE area (course_id INT, area VARCHAR)
CREATE TABLE jobs (job_id INT, job_title VARCHAR, description VARCHAR, requirement VARCHAR, city VARCHAR, state VARCHAR, country VARCHAR, zip INT)
CREATE TABLE program_course (program_id INT, course_id INT, workload INT, category VARCHAR)
| Easiest class I can take to fulfill the PreMajor requirement ? | SELECT DISTINCT course.department, course.name, course.number, program_course.workload, program_course.workload FROM course, program_course WHERE program_course.category LIKE '%PreMajor%' AND program_course.course_id = course.course_id AND program_course.workload = (SELECT MIN(PROGRAM_COURSEalias1.workload) FROM program_course AS PROGRAM_COURSEalias1 WHERE PROGRAM_COURSEalias1.category LIKE '%PreMajor%') | WITH "_u_0" AS (SELECT MIN("PROGRAM_COURSEalias1"."workload") FROM "program_course" AS "PROGRAM_COURSEalias1" WHERE "PROGRAM_COURSEalias1"."category" LIKE '%PreMajor%') SELECT DISTINCT "course"."department", "course"."name", "course"."number", "program_course"."workload", "program_course"."workload" FROM "course" JOIN "program_course" ON "course"."course_id" = "program_course"."course_id" AND "program_course"."category" LIKE '%PreMajor%' JOIN "_u_0" AS "_u_0" ON "_u_0"."" = "program_course"."workload" | 0.494141 |
CREATE TABLE table_name_34 (winners VARCHAR, runners_up VARCHAR)
| Who was the winner when the runner-up was Guangzhou Apollo? | SELECT winners FROM table_name_34 WHERE runners_up = "guangzhou apollo" | SELECT "winners" FROM "table_name_34" WHERE "guangzhou apollo" = "runners_up" | 0.075195 |
CREATE TABLE table_60481 ("Edition" TEXT, "Round" TEXT, "Date" TEXT, "Surface" TEXT, "Opponent" TEXT, "Result" TEXT)
| What clay surface edition had an opponent of miho saeki? | SELECT "Edition" FROM table_60481 WHERE "Surface" = 'clay' AND "Opponent" = 'miho saeki' | SELECT "Edition" FROM "table_60481" WHERE "Opponent" = 'miho saeki' AND "Surface" = 'clay' | 0.087891 |
CREATE TABLE table_name_78 (years VARCHAR, magazine VARCHAR)
| What years did the magazine Vaillant and Pif run? | SELECT years FROM table_name_78 WHERE magazine = "vaillant and pif" | SELECT "years" FROM "table_name_78" WHERE "magazine" = "vaillant and pif" | 0.071289 |
CREATE TABLE table_64781 ("Constituency number" TEXT, "Name" TEXT, "Reserved for ( SC / ST /None ) " TEXT, "District" TEXT, "Number of electorates ( 2009 ) " FLOAT)
| What is the district of Paraswada with none reserved? | SELECT "District" FROM table_64781 WHERE "Reserved for ( SC / ST /None)" = 'none' AND "Name" = 'paraswada' | SELECT "District" FROM "table_64781" WHERE "Name" = 'paraswada' AND "Reserved for ( SC / ST /None)" = 'none' | 0.105469 |
CREATE TABLE table_name_55 (opponent VARCHAR, week INT)
| Which opponent was on week 2? | SELECT opponent FROM table_name_55 WHERE week < 2 | SELECT "opponent" FROM "table_name_55" WHERE "week" < 2 | 0.053711 |
CREATE TABLE table_23727 ("Date" TEXT, "Presenter" TEXT, "Guest 1" TEXT, "Guest 2" TEXT, "Guest 3" TEXT, "Guest 4" TEXT)
| How many dates are associated with a guest 4 being Jim Jeffries (debut)? | SELECT COUNT("Date") FROM table_23727 WHERE "Guest 4" = 'Jim Jeffries (debut)' | SELECT COUNT("Date") FROM "table_23727" WHERE "Guest 4" = 'Jim Jeffries (debut)' | 0.078125 |
CREATE TABLE game (stadium_id DECIMAL, id DECIMAL, season DECIMAL, date TEXT, home_team TEXT, away_team TEXT, score TEXT, competition TEXT)
CREATE TABLE injury_accident (game_id DECIMAL, id DECIMAL, player TEXT, injury TEXT, number_of_matches TEXT, source TEXT)
CREATE TABLE stadium (id DECIMAL, name TEXT, home_games DECIMAL, average_attendance DECIMAL, total_attendance DECIMAL, capacity_percentage DECIMAL)
| How many games are free of injury accidents? | SELECT COUNT(*) FROM game WHERE NOT id IN (SELECT game_id FROM injury_accident) | SELECT COUNT(*) FROM "game" WHERE NOT "id" IN (SELECT "game_id" FROM "injury_accident") | 0.084961 |
CREATE TABLE jobs (job_id INT, job_title VARCHAR, description VARCHAR, requirement VARCHAR, city VARCHAR, state VARCHAR, country VARCHAR, zip INT)
CREATE TABLE gsi (course_offering_id INT, student_id INT)
CREATE TABLE area (course_id INT, area VARCHAR)
CREATE TABLE program (program_id INT, name VARCHAR, college VARCHAR, introduction VARCHAR)
CREATE TABLE program_course (program_id INT, course_id INT, workload INT, category VARCHAR)
CREATE TABLE semester (semester_id INT, semester VARCHAR, year INT)
CREATE TABLE course (course_id INT, name VARCHAR, department VARCHAR, number VARCHAR, credits VARCHAR, advisory_requirement VARCHAR, enforced_requirement VARCHAR, description VARCHAR, num_semesters INT, num_enrolled INT, has_discussion VARCHAR, has_lab VARCHAR, has_projects VARCHAR, has_exams VARCHAR, num_reviews INT, clarity_score INT, easiness_score INT, helpfulness_score INT)
CREATE TABLE instructor (instructor_id INT, name VARCHAR, uniqname VARCHAR)
CREATE TABLE course_offering (offering_id INT, course_id INT, semester INT, section_number INT, start_time TIME, end_time TIME, monday VARCHAR, tuesday VARCHAR, wednesday VARCHAR, thursday VARCHAR, friday VARCHAR, saturday VARCHAR, sunday VARCHAR, has_final_project VARCHAR, has_final_exam VARCHAR, textbook VARCHAR, class_address VARCHAR, allow_audit VARCHAR)
CREATE TABLE offering_instructor (offering_instructor_id INT, offering_id INT, instructor_id INT)
CREATE TABLE course_tags_count (course_id INT, clear_grading INT, pop_quiz INT, group_projects INT, inspirational INT, long_lectures INT, extra_credit INT, few_tests INT, good_feedback INT, tough_tests INT, heavy_papers INT, cares_for_students INT, heavy_assignments INT, respected INT, participation INT, heavy_reading INT, tough_grader INT, hilarious INT, would_take_again INT, good_lecture INT, no_skip INT)
CREATE TABLE student_record (student_id INT, course_id INT, semester INT, grade VARCHAR, how VARCHAR, transfer_source VARCHAR, earn_credit VARCHAR, repeat_term VARCHAR, test_id VARCHAR)
CREATE TABLE course_prerequisite (pre_course_id INT, course_id INT)
CREATE TABLE requirement (requirement_id INT, requirement VARCHAR, college VARCHAR)
CREATE TABLE program_requirement (program_id INT, category VARCHAR, min_credit INT, additional_req VARCHAR)
CREATE TABLE ta (campus_job_id INT, student_id INT, location VARCHAR)
CREATE TABLE comment_instructor (instructor_id INT, student_id INT, score INT, comment_text VARCHAR)
CREATE TABLE student (student_id INT, lastname VARCHAR, firstname VARCHAR, program_id INT, declare_major VARCHAR, total_credit INT, total_gpa FLOAT, entered_as VARCHAR, admit_term INT, predicted_graduation_semester INT, degree VARCHAR, minor VARCHAR, internship VARCHAR)
| Is DHYGRACK 685 required to take the course DHYGRACK 689 ? | SELECT COUNT(*) > 0 FROM course AS COURSE_0, course AS COURSE_1, course_prerequisite WHERE COURSE_0.course_id = course_prerequisite.pre_course_id AND COURSE_0.department = 'DHYGRACK' AND COURSE_0.number = 685 AND COURSE_1.course_id = course_prerequisite.course_id AND COURSE_1.department = 'DHYGRACK' AND COURSE_1.number = 689 | SELECT COUNT(*) > 0 FROM "course" AS "COURSE_0" JOIN "course_prerequisite" ON "COURSE_0"."course_id" = "course_prerequisite"."pre_course_id" JOIN "course" AS "COURSE_1" ON "COURSE_1"."course_id" = "course_prerequisite"."course_id" AND "COURSE_1"."department" = 'DHYGRACK' AND "COURSE_1"."number" = 689 WHERE "COURSE_0"."department" = 'DHYGRACK' AND "COURSE_0"."number" = 685 | 0.365234 |
CREATE TABLE orders (customer_id VARCHAR)
CREATE TABLE customers (customer_name VARCHAR, customer_id VARCHAR)
| For each customer who has at least two orders, find the customer name and number of orders made. | SELECT T2.customer_name, COUNT(*) FROM orders AS T1 JOIN customers AS T2 ON T1.customer_id = T2.customer_id GROUP BY T2.customer_id HAVING COUNT(*) >= 2 | SELECT "T2"."customer_name", COUNT(*) FROM "orders" AS "T1" JOIN "customers" AS "T2" ON "T1"."customer_id" = "T2"."customer_id" GROUP BY "T2"."customer_id" HAVING COUNT(*) >= 2 | 0.171875 |
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
| what is the number of patients whose admission year is less than 2166 and procedure long title is arterial catheterization? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.admityear < "2166" AND procedures.long_title = "Arterial catheterization" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "procedures" ON "Arterial catheterization" = "procedures"."long_title" AND "demographic"."hadm_id" = "procedures"."hadm_id" WHERE "2166" > "demographic"."admityear" | 0.232422 |
CREATE TABLE inputevents_cv (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, amount DECIMAL)
CREATE TABLE prescriptions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, startdate TIME, enddate TIME, drug TEXT, dose_val_rx TEXT, dose_unit_rx TEXT, route TEXT)
CREATE TABLE d_icd_diagnoses (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE cost (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, event_type TEXT, event_id DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE icustays (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, first_careunit TEXT, last_careunit TEXT, first_wardid DECIMAL, last_wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE d_labitems (row_id DECIMAL, itemid DECIMAL, label TEXT)
CREATE TABLE patients (row_id DECIMAL, subject_id DECIMAL, gender TEXT, dob TIME, dod TIME)
CREATE TABLE chartevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE microbiologyevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, charttime TIME, spec_type_desc TEXT, org_name TEXT)
CREATE TABLE d_icd_procedures (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE outputevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, value DECIMAL)
CREATE TABLE d_items (row_id DECIMAL, itemid DECIMAL, label TEXT, linksto TEXT)
CREATE TABLE admissions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, admittime TIME, dischtime TIME, admission_type TEXT, admission_location TEXT, discharge_location TEXT, insurance TEXT, language TEXT, marital_status TEXT, ethnicity TEXT, age DECIMAL)
CREATE TABLE transfers (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, eventtype TEXT, careunit TEXT, wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE labevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE procedures_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE diagnoses_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
| what is the last careunit of patient 6940 during the last year? | SELECT transfers.careunit FROM transfers WHERE transfers.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 6940) AND NOT transfers.careunit IS NULL AND DATETIME(transfers.intime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year') ORDER BY transfers.intime DESC LIMIT 1 | WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 6940 GROUP BY "hadm_id") SELECT "transfers"."careunit" FROM "transfers" LEFT JOIN "_u_0" AS "_u_0" ON "_u_0"."" = "transfers"."hadm_id" WHERE DATETIME("transfers"."intime", 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year') AND NOT "_u_0"."" IS NULL AND NOT "transfers"."careunit" IS NULL ORDER BY "transfers"."intime" DESC NULLS LAST LIMIT 1 | 0.450195 |
CREATE TABLE table_65433 ("Date" TEXT, "Location" TEXT, "Lineup" TEXT, "Assist/pass" TEXT, "Score" TEXT, "Result" TEXT, "Competition" TEXT)
| What's the lineup when the assist/pass was Unassisted? | SELECT "Lineup" FROM table_65433 WHERE "Assist/pass" = 'unassisted' | SELECT "Lineup" FROM "table_65433" WHERE "Assist/pass" = 'unassisted' | 0.067383 |
CREATE TABLE Manufacturers (Code INT, Name VARCHAR, Headquarter VARCHAR, Founder VARCHAR, Revenue FLOAT)
CREATE TABLE Products (Code INT, Name VARCHAR, Price DECIMAL, Manufacturer INT)
| For those records from the products and each product's manufacturer, draw a bar chart about the distribution of name and the average of price , and group by attribute name, and I want to rank y-axis from high to low order. | SELECT T1.Name, T1.Price FROM Products AS T1 JOIN Manufacturers AS T2 ON T1.Manufacturer = T2.Code GROUP BY T1.Name ORDER BY T1.Price DESC | SELECT "T1"."Name", "T1"."Price" FROM "Products" AS "T1" JOIN "Manufacturers" AS "T2" ON "T1"."Manufacturer" = "T2"."Code" GROUP BY "T1"."Name" ORDER BY "T1"."Price" DESC NULLS LAST | 0.176758 |
CREATE TABLE table_27715173_10 (score VARCHAR, high_rebounds VARCHAR)
| What was the team score when Tim Duncan (12) got the high rebounds? | SELECT score FROM table_27715173_10 WHERE high_rebounds = "Tim Duncan (12)" | SELECT "score" FROM "table_27715173_10" WHERE "Tim Duncan (12)" = "high_rebounds" | 0.079102 |
CREATE TABLE procedures_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE inputevents_cv (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, amount DECIMAL)
CREATE TABLE diagnoses_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE prescriptions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, startdate TIME, enddate TIME, drug TEXT, dose_val_rx TEXT, dose_unit_rx TEXT, route TEXT)
CREATE TABLE d_icd_procedures (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE admissions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, admittime TIME, dischtime TIME, admission_type TEXT, admission_location TEXT, discharge_location TEXT, insurance TEXT, language TEXT, marital_status TEXT, ethnicity TEXT, age DECIMAL)
CREATE TABLE d_icd_diagnoses (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE outputevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, value DECIMAL)
CREATE TABLE icustays (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, first_careunit TEXT, last_careunit TEXT, first_wardid DECIMAL, last_wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE d_labitems (row_id DECIMAL, itemid DECIMAL, label TEXT)
CREATE TABLE cost (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, event_type TEXT, event_id DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE d_items (row_id DECIMAL, itemid DECIMAL, label TEXT, linksto TEXT)
CREATE TABLE transfers (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, eventtype TEXT, careunit TEXT, wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE microbiologyevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, charttime TIME, spec_type_desc TEXT, org_name TEXT)
CREATE TABLE chartevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE labevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE patients (row_id DECIMAL, subject_id DECIMAL, gender TEXT, dob TIME, dod TIME)
| among the patients aged 40s in a year before, what were the top four most frequent procedures? | SELECT d_icd_procedures.short_title FROM d_icd_procedures WHERE d_icd_procedures.icd9_code IN (SELECT t1.icd9_code FROM (SELECT procedures_icd.icd9_code, DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS c1 FROM procedures_icd WHERE procedures_icd.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.age BETWEEN 40 AND 49) AND DATETIME(procedures_icd.charttime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year') GROUP BY procedures_icd.icd9_code) AS t1 WHERE t1.c1 <= 4) | WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."age" <= 49 AND "admissions"."age" >= 40 GROUP BY "hadm_id"), "t1" AS (SELECT "procedures_icd"."icd9_code", DENSE_RANK() OVER (ORDER BY COUNT(*) DESC NULLS LAST) AS "c1" FROM "procedures_icd" LEFT JOIN "_u_0" AS "_u_0" ON "_u_0"."" = "procedures_icd"."hadm_id" WHERE DATETIME("procedures_icd"."charttime", 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year') AND NOT "_u_0"."" IS NULL GROUP BY "procedures_icd"."icd9_code"), "_u_1" AS (SELECT "t1"."icd9_code" FROM "t1" AS "t1" WHERE "t1"."c1" <= 4 GROUP BY "icd9_code") SELECT "d_icd_procedures"."short_title" FROM "d_icd_procedures" LEFT JOIN "_u_1" AS "_u_1" ON "_u_1"."" = "d_icd_procedures"."icd9_code" WHERE NOT "_u_1"."" IS NULL | 0.768555 |
CREATE TABLE SuggestedEditVotes (Id DECIMAL, SuggestedEditId DECIMAL, UserId DECIMAL, VoteTypeId DECIMAL, CreationDate TIME, TargetUserId DECIMAL, TargetRepChange DECIMAL)
CREATE TABLE ReviewTaskStates (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE PostFeedback (Id DECIMAL, PostId DECIMAL, IsAnonymous BOOLEAN, VoteTypeId DECIMAL, CreationDate TIME)
CREATE TABLE Comments (Id DECIMAL, PostId DECIMAL, Score DECIMAL, Text TEXT, CreationDate TIME, UserDisplayName TEXT, UserId DECIMAL, ContentLicense TEXT)
CREATE TABLE PostTags (PostId DECIMAL, TagId DECIMAL)
CREATE TABLE VoteTypes (Id DECIMAL, Name TEXT)
CREATE TABLE CloseAsOffTopicReasonTypes (Id DECIMAL, IsUniversal BOOLEAN, InputTitle TEXT, MarkdownInputGuidance TEXT, MarkdownPostOwnerGuidance TEXT, MarkdownPrivilegedUserGuidance TEXT, MarkdownConcensusDescription TEXT, CreationDate TIME, CreationModeratorId DECIMAL, ApprovalDate TIME, ApprovalModeratorId DECIMAL, DeactivationDate TIME, DeactivationModeratorId DECIMAL)
CREATE TABLE Badges (Id DECIMAL, UserId DECIMAL, Name TEXT, Date TIME, Class DECIMAL, TagBased BOOLEAN)
CREATE TABLE SuggestedEdits (Id DECIMAL, PostId DECIMAL, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId DECIMAL, Comment TEXT, Text TEXT, Title TEXT, Tags TEXT, RevisionGUID other)
CREATE TABLE FlagTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE PostHistory (Id DECIMAL, PostHistoryTypeId DECIMAL, PostId DECIMAL, RevisionGUID other, CreationDate TIME, UserId DECIMAL, UserDisplayName TEXT, Comment TEXT, Text TEXT, ContentLicense TEXT)
CREATE TABLE PostNotices (Id DECIMAL, PostId DECIMAL, PostNoticeTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body TEXT, OwnerUserId DECIMAL, DeletionUserId DECIMAL)
CREATE TABLE Votes (Id DECIMAL, PostId DECIMAL, VoteTypeId DECIMAL, UserId DECIMAL, CreationDate TIME, BountyAmount DECIMAL)
CREATE TABLE Posts (Id DECIMAL, PostTypeId DECIMAL, AcceptedAnswerId DECIMAL, ParentId DECIMAL, CreationDate TIME, DeletionDate TIME, Score DECIMAL, ViewCount DECIMAL, Body TEXT, OwnerUserId DECIMAL, OwnerDisplayName TEXT, LastEditorUserId DECIMAL, LastEditorDisplayName TEXT, LastEditDate TIME, LastActivityDate TIME, Title TEXT, Tags TEXT, AnswerCount DECIMAL, CommentCount DECIMAL, FavoriteCount DECIMAL, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense TEXT)
CREATE TABLE PostHistoryTypes (Id DECIMAL, Name TEXT)
CREATE TABLE PostTypes (Id DECIMAL, Name TEXT)
CREATE TABLE TagSynonyms (Id DECIMAL, SourceTagName TEXT, TargetTagName TEXT, CreationDate TIME, OwnerUserId DECIMAL, AutoRenameCount DECIMAL, LastAutoRename TIME, Score DECIMAL, ApprovedByUserId DECIMAL, ApprovalDate TIME)
CREATE TABLE CloseReasonTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE ReviewRejectionReasons (Id DECIMAL, Name TEXT, Description TEXT, PostTypeId DECIMAL)
CREATE TABLE Tags (Id DECIMAL, TagName TEXT, Count DECIMAL, ExcerptPostId DECIMAL, WikiPostId DECIMAL)
CREATE TABLE ReviewTaskTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE ReviewTaskResults (Id DECIMAL, ReviewTaskId DECIMAL, ReviewTaskResultTypeId DECIMAL, CreationDate TIME, RejectionReasonId DECIMAL, Comment TEXT)
CREATE TABLE PostsWithDeleted (Id DECIMAL, PostTypeId DECIMAL, AcceptedAnswerId DECIMAL, ParentId DECIMAL, CreationDate TIME, DeletionDate TIME, Score DECIMAL, ViewCount DECIMAL, Body TEXT, OwnerUserId DECIMAL, OwnerDisplayName TEXT, LastEditorUserId DECIMAL, LastEditorDisplayName TEXT, LastEditDate TIME, LastActivityDate TIME, Title TEXT, Tags TEXT, AnswerCount DECIMAL, CommentCount DECIMAL, FavoriteCount DECIMAL, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense TEXT)
CREATE TABLE Users (Id DECIMAL, Reputation DECIMAL, CreationDate TIME, DisplayName TEXT, LastAccessDate TIME, WebsiteUrl TEXT, Location TEXT, AboutMe TEXT, Views DECIMAL, UpVotes DECIMAL, DownVotes DECIMAL, ProfileImageUrl TEXT, EmailHash TEXT, AccountId DECIMAL)
CREATE TABLE PendingFlags (Id DECIMAL, FlagTypeId DECIMAL, PostId DECIMAL, CreationDate TIME, CloseReasonTypeId DECIMAL, CloseAsOffTopicReasonTypeId DECIMAL, DuplicateOfQuestionId DECIMAL, BelongsOnBaseHostAddress TEXT)
CREATE TABLE PostLinks (Id DECIMAL, CreationDate TIME, PostId DECIMAL, RelatedPostId DECIMAL, LinkTypeId DECIMAL)
CREATE TABLE PostNoticeTypes (Id DECIMAL, ClassId DECIMAL, Name TEXT, Body TEXT, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId DECIMAL)
CREATE TABLE ReviewTasks (Id DECIMAL, ReviewTaskTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId DECIMAL, PostId DECIMAL, SuggestedEditId DECIMAL, CompletedByReviewTaskId DECIMAL)
CREATE TABLE ReviewTaskResultTypes (Id DECIMAL, Name TEXT, Description TEXT)
| The nth question (ordered by id). | WITH ordered AS (SELECT ROW_NUMBER() OVER (ORDER BY Id) AS rownumber, Id, CreationDate, Title, Score, OwnerUserId, Tags, ViewCount, AnswerCount, FavoriteCount FROM Posts AS q WHERE PostTypeId = 1) SELECT rownumber, Id AS "post_link", CreationDate, Title, Score, OwnerUserId AS "user_link", Tags, ViewCount, AnswerCount, FavoriteCount FROM ordered WHERE rownumber = '##num##' | WITH "_u_0" AS (SELECT 1 AS "_" FROM "Posts" AS "q" GROUP BY 1) SELECT "rownumber", "Id" AS "post_link", "CreationDate", "Title", "Score", "OwnerUserId" AS "user_link", "Tags", "ViewCount", "AnswerCount", "FavoriteCount" FROM "ordered" LEFT JOIN "_u_0" AS "_u_0" ON "PostTypeId" = "_u_0"."_" WHERE "rownumber" = '##num##' | 0.313477 |
CREATE TABLE table_26593762_2 (chairman VARCHAR, manager VARCHAR)
| Who is the chairman of Mark Robins team? | SELECT chairman FROM table_26593762_2 WHERE manager = "Mark Robins" | SELECT "chairman" FROM "table_26593762_2" WHERE "Mark Robins" = "manager" | 0.071289 |
CREATE TABLE table_870 ("Draft Year" FLOAT, "Player" TEXT, "Position" TEXT, "Round" FLOAT, "Overall" FLOAT, "NFL Team" TEXT)
| What year was jerry marion drafted? | SELECT MAX("Draft Year") FROM table_870 WHERE "Player" = 'Jerry Marion' | SELECT MAX("Draft Year") FROM "table_870" WHERE "Player" = 'Jerry Marion' | 0.071289 |
CREATE TABLE table_204_43 (id DECIMAL, "name" TEXT, "rural\ municipality ( rm ) " TEXT, "population\ ( 2011 ) " DECIMAL, "population\ ( 2006 ) " DECIMAL, "change\ ( % ) " DECIMAL, "land\ area\ ( km2 ) " DECIMAL, "population\ density\ ( per km2 ) " DECIMAL)
| which town has the same population in 2011 as bruno ? | SELECT "name" FROM table_204_43 WHERE "name" <> 'bruno' AND "population\n(2011)" = (SELECT "population\n(2011)" FROM table_204_43 WHERE "name" = 'bruno') | SELECT "name" FROM "table_204_43" WHERE "name" <> 'bruno' AND "population\n(2011)" = (SELECT "population\n(2011)" FROM "table_204_43" WHERE "name" = 'bruno') | 0.15332 |
CREATE TABLE student_record (student_id INT, course_id INT, semester INT, grade VARCHAR, how VARCHAR, transfer_source VARCHAR, earn_credit VARCHAR, repeat_term VARCHAR, test_id VARCHAR)
CREATE TABLE gsi (course_offering_id INT, student_id INT)
CREATE TABLE semester (semester_id INT, semester VARCHAR, year INT)
CREATE TABLE instructor (instructor_id INT, name VARCHAR, uniqname VARCHAR)
CREATE TABLE jobs (job_id INT, job_title VARCHAR, description VARCHAR, requirement VARCHAR, city VARCHAR, state VARCHAR, country VARCHAR, zip INT)
CREATE TABLE ta (campus_job_id INT, student_id INT, location VARCHAR)
CREATE TABLE course_tags_count (course_id INT, clear_grading INT, pop_quiz INT, group_projects INT, inspirational INT, long_lectures INT, extra_credit INT, few_tests INT, good_feedback INT, tough_tests INT, heavy_papers INT, cares_for_students INT, heavy_assignments INT, respected INT, participation INT, heavy_reading INT, tough_grader INT, hilarious INT, would_take_again INT, good_lecture INT, no_skip INT)
CREATE TABLE course_offering (offering_id INT, course_id INT, semester INT, section_number INT, start_time TIME, end_time TIME, monday VARCHAR, tuesday VARCHAR, wednesday VARCHAR, thursday VARCHAR, friday VARCHAR, saturday VARCHAR, sunday VARCHAR, has_final_project VARCHAR, has_final_exam VARCHAR, textbook VARCHAR, class_address VARCHAR, allow_audit VARCHAR)
CREATE TABLE course (course_id INT, name VARCHAR, department VARCHAR, number VARCHAR, credits VARCHAR, advisory_requirement VARCHAR, enforced_requirement VARCHAR, description VARCHAR, num_semesters INT, num_enrolled INT, has_discussion VARCHAR, has_lab VARCHAR, has_projects VARCHAR, has_exams VARCHAR, num_reviews INT, clarity_score INT, easiness_score INT, helpfulness_score INT)
CREATE TABLE program_requirement (program_id INT, category VARCHAR, min_credit INT, additional_req VARCHAR)
CREATE TABLE area (course_id INT, area VARCHAR)
CREATE TABLE course_prerequisite (pre_course_id INT, course_id INT)
CREATE TABLE student (student_id INT, lastname VARCHAR, firstname VARCHAR, program_id INT, declare_major VARCHAR, total_credit INT, total_gpa FLOAT, entered_as VARCHAR, admit_term INT, predicted_graduation_semester INT, degree VARCHAR, minor VARCHAR, internship VARCHAR)
CREATE TABLE comment_instructor (instructor_id INT, student_id INT, score INT, comment_text VARCHAR)
CREATE TABLE program_course (program_id INT, course_id INT, workload INT, category VARCHAR)
CREATE TABLE requirement (requirement_id INT, requirement VARCHAR, college VARCHAR)
CREATE TABLE offering_instructor (offering_instructor_id INT, offering_id INT, instructor_id INT)
CREATE TABLE program (program_id INT, name VARCHAR, college VARCHAR, introduction VARCHAR)
| What prerequisites are advised for Latin American Society and Culture ? | SELECT DISTINCT advisory_requirement FROM course WHERE name LIKE '%Latin American Society and Culture%' | SELECT DISTINCT "advisory_requirement" FROM "course" WHERE "name" LIKE '%Latin American Society and Culture%' | 0.106445 |
CREATE TABLE table_name_60 (rank INT, year VARCHAR, floors VARCHAR)
| What is the highest rank of a building erected in 1976 with fewer than 21 floors? | SELECT MAX(rank) FROM table_name_60 WHERE year = 1976 AND floors < 21 | SELECT MAX("rank") FROM "table_name_60" WHERE "floors" < 21 AND "year" = 1976 | 0.075195 |
CREATE TABLE table_203_824 (id DECIMAL, "pick #" DECIMAL, "player" TEXT, "position" TEXT, "nationality" TEXT, "nhl team" TEXT, "college/junior/club team" TEXT)
| which nhl team had the last pick ? | SELECT "nhl team" FROM table_203_824 ORDER BY "pick #" DESC LIMIT 1 | SELECT "nhl team" FROM "table_203_824" ORDER BY "pick #" DESC NULLS LAST LIMIT 1 | 0.078125 |
CREATE TABLE job_history (EMPLOYEE_ID DECIMAL, START_DATE DATE, END_DATE DATE, JOB_ID VARCHAR, DEPARTMENT_ID DECIMAL)
CREATE TABLE employees (EMPLOYEE_ID DECIMAL, FIRST_NAME VARCHAR, LAST_NAME VARCHAR, EMAIL VARCHAR, PHONE_NUMBER VARCHAR, HIRE_DATE DATE, JOB_ID VARCHAR, SALARY DECIMAL, COMMISSION_PCT DECIMAL, MANAGER_ID DECIMAL, DEPARTMENT_ID DECIMAL)
CREATE TABLE countries (COUNTRY_ID VARCHAR, COUNTRY_NAME VARCHAR, REGION_ID DECIMAL)
CREATE TABLE regions (REGION_ID DECIMAL, REGION_NAME VARCHAR)
CREATE TABLE locations (LOCATION_ID DECIMAL, STREET_ADDRESS VARCHAR, POSTAL_CODE VARCHAR, CITY VARCHAR, STATE_PROVINCE VARCHAR, COUNTRY_ID VARCHAR)
CREATE TABLE departments (DEPARTMENT_ID DECIMAL, DEPARTMENT_NAME VARCHAR, MANAGER_ID DECIMAL, LOCATION_ID DECIMAL)
CREATE TABLE jobs (JOB_ID VARCHAR, JOB_TITLE VARCHAR, MIN_SALARY DECIMAL, MAX_SALARY DECIMAL)
| For all employees who have the letters D or S in their first name, show me about the change of commission_pct over hire_date in a line chart, could you display by the X in asc? | SELECT HIRE_DATE, COMMISSION_PCT FROM employees WHERE FIRST_NAME LIKE '%D%' OR FIRST_NAME LIKE '%S%' ORDER BY HIRE_DATE | SELECT "HIRE_DATE", "COMMISSION_PCT" FROM "employees" WHERE "FIRST_NAME" LIKE '%D%' OR "FIRST_NAME" LIKE '%S%' ORDER BY "HIRE_DATE" NULLS FIRST | 0.139648 |
CREATE TABLE table_90 ("No. in series" FLOAT, "No. in season" FLOAT, "Title" TEXT, "Directed by" TEXT, "Written by" TEXT, "Original air date" TEXT, "U.S. viewers ( millions ) " TEXT)
| How many episodes in season 6 titles 'Poppin' Tags'? | SELECT COUNT("No. in season") FROM table_90 WHERE "Title" = 'Poppin'' Tags' | SELECT COUNT("No. in season") FROM "table_90" WHERE "Title" = 'Poppin\' Tags' | 0.075195 |
CREATE TABLE table_31844 ("Date" TEXT, "Venue" TEXT, "Score" TEXT, "Result" TEXT, "Competition" TEXT)
| What was the result of the 1990 world cup qualifying competition? | SELECT "Result" FROM table_31844 WHERE "Competition" = '1990 world cup qualifying' | SELECT "Result" FROM "table_31844" WHERE "Competition" = '1990 world cup qualifying' | 0.082031 |
CREATE TABLE table_train_120 ("id" INT, "residual_neurologic_impairment" BOOLEAN, "mini_mental_state_examination_mmse" INT, "systolic_blood_pressure_sbp" INT, "memory_impairments" BOOLEAN, "progressive_neurologic_disease" BOOLEAN, "epilepsy" BOOLEAN, "head_injury" BOOLEAN, "stroke" BOOLEAN, "multiple_sclerosis" BOOLEAN, "dementia" BOOLEAN, "diastolic_blood_pressure_dbp" INT, "heart_rate" INT, "intracranial_brain_lesions" BOOLEAN, "neurological_disease" BOOLEAN, "ad" BOOLEAN, "neurosurgery" BOOLEAN, "hypertension" BOOLEAN, "clinical_dementia_rating_cdr" FLOAT, "NOUSE" FLOAT)
| current or past history of any neurological disorder other than dementia, such as epilepsy, stroke ( cortical stroke ) , progressive neurologic disease ( e.g. multiple sclerosis ) or intracranial brain lesions; and history of previous neurosurgery or head trauma that resulted in residual neurologic impairment. | SELECT * FROM table_train_120 WHERE (neurological_disease = 1 AND dementia = 0 OR (epilepsy = 1 OR stroke = 1 OR (progressive_neurologic_disease = 1 OR multiple_sclerosis = 1) OR intracranial_brain_lesions = 1)) AND (neurosurgery = 1 OR (head_injury = 1 AND residual_neurologic_impairment = 1)) | SELECT * FROM "table_train_120" WHERE ("dementia" = 0 OR "epilepsy" = 1 OR "intracranial_brain_lesions" = 1 OR "multiple_sclerosis" = 1 OR "progressive_neurologic_disease" = 1 OR "stroke" = 1) AND ("epilepsy" = 1 OR "intracranial_brain_lesions" = 1 OR "multiple_sclerosis" = 1 OR "neurological_disease" = 1 OR "progressive_neurologic_disease" = 1 OR "stroke" = 1) AND ("head_injury" = 1 OR "neurosurgery" = 1) AND ("neurosurgery" = 1 OR "residual_neurologic_impairment" = 1) | 0.462891 |
CREATE TABLE table_name_74 (grid INT, manufacturer VARCHAR, laps VARCHAR)
| What is the lowest grid number that had a rider with KTM as the manufacturer who did more than 20 laps? | SELECT MIN(grid) FROM table_name_74 WHERE manufacturer = "ktm" AND laps > 20 | SELECT MIN("grid") FROM "table_name_74" WHERE "ktm" = "manufacturer" AND "laps" > 20 | 0.082031 |
CREATE TABLE table_18847456_2 (opponents INT, date VARCHAR)
| How many points did the opposing team score on Dec. 19, 1982? | SELECT MAX(opponents) FROM table_18847456_2 WHERE date = "Dec. 19" | SELECT MAX("opponents") FROM "table_18847456_2" WHERE "Dec. 19" = "date" | 0.070313 |
CREATE TABLE table_34119 ("Year" FLOAT, "Song" TEXT, "Film" TEXT, "Music director ( s ) " TEXT, "Lyricist" TEXT)
| Which Year has a Film of baazigar? | SELECT MAX("Year") FROM table_34119 WHERE "Film" = 'baazigar' | SELECT MAX("Year") FROM "table_34119" WHERE "Film" = 'baazigar' | 0.061523 |
CREATE TABLE table_name_52 (length VARCHAR, country VARCHAR, year VARCHAR)
| Which Length has a Country of soviet union, and a Year larger than 1975? | SELECT length FROM table_name_52 WHERE country = "soviet union" AND year > 1975 | SELECT "length" FROM "table_name_52" WHERE "country" = "soviet union" AND "year" > 1975 | 0.084961 |
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
| give me the number of patients whose diagnoses icd9 code is 30390 and drug route is pb? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE diagnoses.icd9_code = "30390" AND prescriptions.route = "PB" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "30390" = "diagnoses"."icd9_code" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" JOIN "prescriptions" ON "PB" = "prescriptions"."route" AND "demographic"."hadm_id" = "prescriptions"."hadm_id" | 0.27832 |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.