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CREATE TABLE table_name_59 (away_team VARCHAR)
| What is Away team Carlton's score? | SELECT away_team AS score FROM table_name_59 WHERE away_team = "carlton" | SELECT "away_team" AS "score" FROM "table_name_59" WHERE "away_team" = "carlton" | 0.078125 |
CREATE TABLE stadium (ID INT, name TEXT, Capacity INT, City TEXT, Country TEXT, Opening_year INT)
CREATE TABLE event (ID INT, Name TEXT, Stadium_ID INT, Year TEXT)
CREATE TABLE record (ID INT, Result TEXT, Swimmer_ID INT, Event_ID INT)
CREATE TABLE swimmer (ID INT, name TEXT, Nationality TEXT, meter_100 FLOAT, meter_200 TEXT, meter_300 TEXT, meter_400 TEXT, meter_500 TEXT, meter_600 TEXT, meter_700 TEXT, Time TEXT)
| Show me about the distribution of meter_300 and meter_100 in a bar chart, rank by the bars in descending please. | SELECT meter_300, meter_100 FROM swimmer ORDER BY meter_300 DESC | SELECT "meter_300", "meter_100" FROM "swimmer" ORDER BY "meter_300" DESC NULLS LAST | 0.081055 |
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)
| Give me the comparison about Team_ID over the Team_Name by a bar chart, and could you rank in ascending by the bar please? | SELECT Team_Name, Team_ID FROM basketball_match ORDER BY Team_Name | SELECT "Team_Name", "Team_ID" FROM "basketball_match" ORDER BY "Team_Name" NULLS FIRST | 0.083984 |
CREATE TABLE table_65677 ("Year" FLOAT, "Competition Description" TEXT, "Location" TEXT, "Apparatus" TEXT, "Rank-Final" FLOAT, "Score-Final" FLOAT)
| What is the lowest final score of the American Cup competition before 2009? | SELECT MIN("Score-Final") FROM table_65677 WHERE "Competition Description" = 'american cup' AND "Year" < '2009' | SELECT MIN("Score-Final") FROM "table_65677" WHERE "Competition Description" = 'american cup' AND "Year" < '2009' | 0.110352 |
CREATE TABLE table_49067 ("Week" TEXT, "Date" TEXT, "Opponent" TEXT, "Result" TEXT, "Game site" TEXT, "Record" TEXT)
| What opponent did the Broncos play on November 16? | SELECT "Opponent" FROM table_49067 WHERE "Date" = 'november 16' | SELECT "Opponent" FROM "table_49067" WHERE "Date" = 'november 16' | 0.063477 |
CREATE TABLE table_93 ("Season" FLOAT, "Driver" TEXT, "Team" TEXT, "Engine" TEXT, "Poles" FLOAT, "Wins" FLOAT, "Podiums" FLOAT, "Points" TEXT, "Margin of defeat" TEXT)
| How many seasons was clay regazzoni the driver? | SELECT COUNT("Season") FROM table_93 WHERE "Driver" = 'Clay Regazzoni' | SELECT COUNT("Season") FROM "table_93" WHERE "Driver" = 'Clay Regazzoni' | 0.070313 |
CREATE TABLE table_name_83 (skip VARCHAR, third VARCHAR)
| Who is the Skip when Alasdair Guthrie is the third? | SELECT skip FROM table_name_83 WHERE third = "alasdair guthrie" | SELECT "skip" FROM "table_name_83" WHERE "alasdair guthrie" = "third" | 0.067383 |
CREATE TABLE Products (product_id INT, parent_product_id INT, product_category_code VARCHAR, date_product_first_available DATETIME, date_product_discontinued DATETIME, product_name VARCHAR, product_description VARCHAR, product_price DECIMAL)
CREATE TABLE Complaints (complaint_id INT, product_id INT, customer_id INT, complaint_outcome_code VARCHAR, complaint_status_code VARCHAR, complaint_type_code VARCHAR, date_complaint_raised DATETIME, date_complaint_closed DATETIME, staff_id INT)
CREATE TABLE Staff (staff_id INT, gender VARCHAR, first_name VARCHAR, last_name VARCHAR, email_address VARCHAR, phone_number VARCHAR)
CREATE TABLE Customers (customer_id INT, customer_type_code VARCHAR, address_line_1 VARCHAR, address_line_2 VARCHAR, town_city VARCHAR, state VARCHAR, email_address VARCHAR, phone_number VARCHAR)
| Draw a bar chart for what are all the different product names, and how many complains has each received?, show from high to low by the Y-axis. | SELECT product_name, COUNT(*) FROM Products AS t1 JOIN Complaints AS t2 ON t1.product_id = t2.product_id GROUP BY t1.product_name ORDER BY COUNT(*) DESC | SELECT "product_name", COUNT(*) FROM "Products" AS "t1" JOIN "Complaints" AS "t2" ON "t1"."product_id" = "t2"."product_id" GROUP BY "t1"."product_name" ORDER BY COUNT(*) DESC NULLS LAST | 0.180664 |
CREATE TABLE departments (DEPARTMENT_ID DECIMAL, DEPARTMENT_NAME VARCHAR, MANAGER_ID DECIMAL, LOCATION_ID DECIMAL)
CREATE TABLE locations (LOCATION_ID DECIMAL, STREET_ADDRESS VARCHAR, POSTAL_CODE VARCHAR, CITY VARCHAR, STATE_PROVINCE VARCHAR, COUNTRY_ID VARCHAR)
CREATE TABLE jobs (JOB_ID VARCHAR, JOB_TITLE VARCHAR, MIN_SALARY DECIMAL, MAX_SALARY DECIMAL)
CREATE TABLE regions (REGION_ID DECIMAL, REGION_NAME VARCHAR)
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)
| For those employees who did not have any job in the past, give me the comparison about the sum of department_id over the hire_date bin hire_date by weekday, list by the sum department id from high to low. | SELECT HIRE_DATE, SUM(DEPARTMENT_ID) FROM employees WHERE NOT EMPLOYEE_ID IN (SELECT EMPLOYEE_ID FROM job_history) ORDER BY SUM(DEPARTMENT_ID) DESC | SELECT "HIRE_DATE", SUM("DEPARTMENT_ID") FROM "employees" WHERE NOT "EMPLOYEE_ID" IN (SELECT "EMPLOYEE_ID" FROM "job_history") ORDER BY SUM("DEPARTMENT_ID") DESC NULLS LAST | 0.167969 |
CREATE TABLE Product (product_id INT, product_name VARCHAR, product_details VARCHAR)
CREATE TABLE Staff (staff_id INT, staff_first_name VARCHAR, staff_last_name VARCHAR, other_staff_details VARCHAR)
CREATE TABLE Problems (problem_id INT, product_id INT, closure_authorised_by_staff_id INT, reported_by_staff_id INT, date_problem_reported DATETIME, date_problem_closed DATETIME, problem_description VARCHAR, other_problem_details VARCHAR)
CREATE TABLE Problem_Category_Codes (problem_category_code VARCHAR, problem_category_description VARCHAR)
CREATE TABLE Problem_Log (problem_log_id INT, assigned_to_staff_id INT, problem_id INT, problem_category_code VARCHAR, problem_status_code VARCHAR, log_entry_date DATETIME, log_entry_description VARCHAR, log_entry_fix VARCHAR, other_log_details VARCHAR)
CREATE TABLE Problem_Status_Codes (problem_status_code VARCHAR, problem_status_description VARCHAR)
| Find all dates of the logs for the problem whose id is 10, show me a bar chart that bins the dates into the weekday interval, and counts the dates. | SELECT log_entry_date, COUNT(log_entry_date) FROM Problem_Log WHERE problem_id = 10 | SELECT "log_entry_date", COUNT("log_entry_date") FROM "Problem_Log" WHERE "problem_id" = 10 | 0.088867 |
CREATE TABLE table_50218 ("Date" TEXT, "Opponent" TEXT, "Venue" TEXT, "Result" TEXT, "Attendance" TEXT, "Competition" TEXT, "Man of the Match" TEXT)
| What was the Result on the Date of 25th? | SELECT "Result" FROM table_50218 WHERE "Date" = '25th' | SELECT "Result" FROM "table_50218" WHERE "Date" = '25th' | 0.054688 |
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 lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid 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 procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
| how many patients with intestinal perforation diagnosis stayed in hospital for more than 5 days? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.days_stay > "5" AND diagnoses.short_title = "Perforation of intestine" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "Perforation of intestine" = "diagnoses"."short_title" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" WHERE "5" < "demographic"."days_stay" | 0.227539 |
CREATE TABLE table_name_41 (bronze INT, rank VARCHAR, total VARCHAR)
| Tell me the average bronze for rank of 43 and total less than 11 | SELECT AVG(bronze) FROM table_name_41 WHERE rank = "43" AND total < 11 | SELECT AVG("bronze") FROM "table_name_41" WHERE "43" = "rank" AND "total" < 11 | 0.076172 |
CREATE TABLE musical (Musical_ID INT, Name TEXT, Year INT, Award TEXT, Category TEXT, Nominee TEXT, Result TEXT)
CREATE TABLE actor (Actor_ID INT, Name TEXT, Musical_ID INT, Character TEXT, Duration TEXT, age INT)
| How many musicals has each nominee been nominated for Plot them as bar chart, I want to order by the X in desc. | SELECT Nominee, COUNT(*) FROM musical GROUP BY Nominee ORDER BY Nominee DESC | SELECT "Nominee", COUNT(*) FROM "musical" GROUP BY "Nominee" ORDER BY "Nominee" DESC NULLS LAST | 0.092773 |
CREATE TABLE table_9890 ("Game" FLOAT, "Date" TEXT, "Opponent" TEXT, "Score" TEXT, "Location" TEXT, "Record" TEXT)
| Who was the opponent with the 20-12 record? | SELECT "Opponent" FROM table_9890 WHERE "Record" = '20-12' | SELECT "Opponent" FROM "table_9890" WHERE "Record" = '20-12' | 0.058594 |
CREATE TABLE table_22888 ("Rank" FLOAT, "English title" TEXT, "Chinese title" TEXT, "Average" FLOAT, "Peak" FLOAT, "Premiere" FLOAT, "Finale" FLOAT, "HK viewers" TEXT)
| What is the finale number ranked at number 7? | SELECT "Finale" FROM table_22888 WHERE "Rank" = '7' | SELECT "Finale" FROM "table_22888" WHERE "Rank" = '7' | 0.051758 |
CREATE TABLE table_3941 ("No. in series" FLOAT, "No. in season" FLOAT, "Title" TEXT, "Directed by" TEXT, "Written by" TEXT, "Original air date" TEXT, "Production code" FLOAT, "U.S. viewers ( millions ) " TEXT)
| how many episodes in the series had as a production code 16016? | SELECT COUNT("No. in series") FROM table_3941 WHERE "Production code" = '16016' | SELECT COUNT("No. in series") FROM "table_3941" WHERE "Production code" = '16016' | 0.079102 |
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 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 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 chartevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom 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 procedures_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 cost (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, event_type TEXT, event_id DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE d_labitems (row_id DECIMAL, itemid DECIMAL, label TEXT)
CREATE TABLE diagnoses_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 d_icd_procedures (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE d_icd_diagnoses (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title 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 microbiologyevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, charttime TIME, spec_type_desc TEXT, org_name TEXT)
| what was the last value of patient 45612's laboratory test for potassium in 05/2101? | SELECT labevents.valuenum FROM labevents WHERE labevents.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 45612) AND labevents.itemid IN (SELECT d_labitems.itemid FROM d_labitems WHERE d_labitems.label = 'potassium') AND STRFTIME('%y-%m', labevents.charttime) = '2101-05' ORDER BY labevents.charttime DESC LIMIT 1 | WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 45612 GROUP BY "hadm_id"), "_u_1" AS (SELECT "d_labitems"."itemid" FROM "d_labitems" WHERE "d_labitems"."label" = 'potassium' GROUP BY "itemid") SELECT "labevents"."valuenum" FROM "labevents" LEFT JOIN "_u_0" AS "_u_0" ON "_u_0"."" = "labevents"."hadm_id" LEFT JOIN "_u_1" AS "_u_1" ON "_u_1"."" = "labevents"."itemid" WHERE NOT "_u_0"."" IS NULL AND NOT "_u_1"."" IS NULL AND STRFTIME('%y-%m', "labevents"."charttime") = '2101-05' ORDER BY "labevents"."charttime" DESC NULLS LAST LIMIT 1 | 0.572266 |
CREATE TABLE table_26494 ("No. in series" FLOAT, "No. in season" FLOAT, "Title" TEXT, "Directed by" TEXT, "Written by" TEXT, "Original air date" TEXT, "Production code" FLOAT, "U.S. viewers ( millions ) " TEXT)
| what number is us viewers in season 12? | SELECT "U.S. viewers (millions)" FROM table_26494 WHERE "No. in season" = '12' | SELECT "U.S. viewers (millions)" FROM "table_26494" WHERE "No. in season" = '12' | 0.078125 |
CREATE TABLE lab (labid DECIMAL, patientunitstayid DECIMAL, labname TEXT, labresult DECIMAL, labresulttime TIME)
CREATE TABLE allergy (allergyid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, allergyname TEXT, allergytime TIME)
CREATE TABLE diagnosis (diagnosisid DECIMAL, patientunitstayid DECIMAL, diagnosisname TEXT, diagnosistime TIME, icd9code TEXT)
CREATE TABLE treatment (treatmentid DECIMAL, patientunitstayid DECIMAL, treatmentname TEXT, treatmenttime TIME)
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 microlab (microlabid DECIMAL, patientunitstayid DECIMAL, culturesite TEXT, organism TEXT, culturetakentime TIME)
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 medication (medicationid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, dosage TEXT, routeadmin TEXT, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE intakeoutput (intakeoutputid DECIMAL, patientunitstayid DECIMAL, cellpath TEXT, celllabel TEXT, cellvaluenumeric DECIMAL, intakeoutputtime TIME)
CREATE TABLE cost (costid DECIMAL, uniquepid TEXT, patienthealthsystemstayid DECIMAL, eventtype TEXT, eventid DECIMAL, chargetime TIME, cost DECIMAL)
| tell me patient 005-4471's total volume of output on the current intensive care unit visit. | SELECT SUM(intakeoutput.cellvaluenumeric) FROM intakeoutput WHERE intakeoutput.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '005-4471') AND patient.unitdischargetime IS NULL) AND intakeoutput.cellpath LIKE '%output%' | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '005-4471' GROUP BY "patienthealthsystemstayid"), "_u_1" AS (SELECT "patient"."patientunitstayid" FROM "patient" LEFT JOIN "_u_0" AS "_u_0" ON "_u_0"."" = "patient"."patienthealthsystemstayid" WHERE "patient"."unitdischargetime" IS NULL AND NOT "_u_0"."" IS NULL GROUP BY "patientunitstayid") SELECT SUM("intakeoutput"."cellvaluenumeric") FROM "intakeoutput" LEFT JOIN "_u_1" AS "_u_1" ON "_u_1"."" = "intakeoutput"."patientunitstayid" WHERE "intakeoutput"."cellpath" LIKE '%output%' AND NOT "_u_1"."" IS NULL | 0.600586 |
CREATE TABLE area (course_id INT, area VARCHAR)
CREATE TABLE ta (campus_job_id INT, student_id INT, location 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 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 semester (semester_id INT, semester VARCHAR, year INT)
CREATE TABLE program (program_id INT, name VARCHAR, college VARCHAR, introduction 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 requirement (requirement_id INT, requirement VARCHAR, college 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)
CREATE TABLE course_prerequisite (pre_course_id INT, course_id 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 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 gsi (course_offering_id INT, student_id INT)
CREATE TABLE offering_instructor (offering_instructor_id INT, offering_id INT, instructor_id INT)
CREATE TABLE program_requirement (program_id INT, category VARCHAR, min_credit INT, additional_req VARCHAR)
| Can you tell me which Core classes will be offered next Winter ? | SELECT DISTINCT course.department, course.name, course.number FROM course INNER JOIN course_offering ON course.course_id = course_offering.course_id INNER JOIN semester ON semester.semester_id = course_offering.semester INNER JOIN program_course ON program_course.course_id = course_offering.course_id WHERE program_course.category LIKE '%Core%' AND semester.semester = 'Winter' AND semester.year = 2017 | SELECT DISTINCT "course"."department", "course"."name", "course"."number" FROM "course" JOIN "course_offering" ON "course"."course_id" = "course_offering"."course_id" JOIN "program_course" ON "course_offering"."course_id" = "program_course"."course_id" AND "program_course"."category" LIKE '%Core%' JOIN "semester" ON "course_offering"."semester" = "semester"."semester_id" AND "semester"."semester" = 'Winter' AND "semester"."year" = 2017 | 0.428711 |
CREATE TABLE table_name_50 (film_name VARCHAR, music_director VARCHAR, lyricist VARCHAR, year VARCHAR, language VARCHAR)
| What 1972 Hindi film had Ravindra Jain directing the music? | SELECT film_name FROM table_name_50 WHERE year > 1972 AND language = "hindi" AND lyricist = "ravindra jain" AND music_director = "ravindra jain" | SELECT "film_name" FROM "table_name_50" WHERE "hindi" = "language" AND "lyricist" = "ravindra jain" AND "music_director" = "ravindra jain" AND "year" > 1972 | 0.152344 |
CREATE TABLE Manufacturers (Code INT, Name VARCHAR, Headquarter VARCHAR, Founder VARCHAR, Revenue FLOAT)
CREATE TABLE Products (Code INT, Name VARCHAR, Price DECIMAL, Manufacturer INT)
| Please tell the revenues of the companies with the highest revenues in each headquarter city, sort from high to low by the y axis. | SELECT Headquarter, MAX(Revenue) FROM Manufacturers GROUP BY Headquarter ORDER BY MAX(Revenue) DESC | SELECT "Headquarter", MAX("Revenue") FROM "Manufacturers" GROUP BY "Headquarter" ORDER BY MAX("Revenue") DESC NULLS LAST | 0.117188 |
CREATE TABLE table_23770 ("Result" TEXT, "Date" TEXT, "Race" TEXT, "Venue" TEXT, "Group" TEXT, "Distance" TEXT, "Weight ( kg ) " TEXT, "Jockey" TEXT, "Winner/2nd" TEXT)
| What was the result of the race where the jockey was J. Marshall? | SELECT "Result" FROM table_23770 WHERE "Jockey" = 'J. Marshall' | SELECT "Result" FROM "table_23770" WHERE "Jockey" = 'J. Marshall' | 0.063477 |
CREATE TABLE table_260938_1 (peletier VARCHAR, shortscale_comparison VARCHAR)
| Name the total number of peletier for shortscale comparison billion | SELECT COUNT(peletier) FROM table_260938_1 WHERE shortscale_comparison = "Billion" | SELECT COUNT("peletier") FROM "table_260938_1" WHERE "Billion" = "shortscale_comparison" | 0.085938 |
CREATE TABLE table_11734041_2 (school_club_team_country VARCHAR, no_s_ VARCHAR, position VARCHAR)
| What school did the forward whose number is 10 belong to? | SELECT school_club_team_country FROM table_11734041_2 WHERE no_s_ = "10" AND position = "Forward" | SELECT "school_club_team_country" FROM "table_11734041_2" WHERE "10" = "no_s_" AND "Forward" = "position" | 0.102539 |
CREATE TABLE table_204_136 (id DECIMAL, "year" DECIMAL, "final" TEXT, "semi" TEXT)
| what is the first country listed on this chart ? | SELECT "final" FROM table_204_136 WHERE id = 1 | SELECT "final" FROM "table_204_136" WHERE "id" = 1 | 0.048828 |
CREATE TABLE table_name_94 (saturated_fat VARCHAR, total_fat VARCHAR, polyunsaturated_fat VARCHAR)
| What is the saturated fat with a total fat of 100g and 11g of polyunsaturated fat? | SELECT saturated_fat FROM table_name_94 WHERE total_fat = "100g" AND polyunsaturated_fat = "11g" | SELECT "saturated_fat" FROM "table_name_94" WHERE "100g" = "total_fat" AND "11g" = "polyunsaturated_fat" | 0.101563 |
CREATE TABLE table_12495 ("Lexton Plains" TEXT, "Wins" FLOAT, "Byes" FLOAT, "Losses" FLOAT, "Draws" FLOAT, "Against" FLOAT)
| Which Draws have a Lexton Plains of skipton, and an Against larger than 1212? | SELECT MAX("Draws") FROM table_12495 WHERE "Lexton Plains" = 'skipton' AND "Against" > '1212' | SELECT MAX("Draws") FROM "table_12495" WHERE "Against" > '1212' AND "Lexton Plains" = 'skipton' | 0.092773 |
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 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)
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 days of hospital stay is greater than 1 and lab test fluid is other body fluid? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.days_stay > "1" AND lab.fluid = "Other Body Fluid" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "lab" ON "Other Body Fluid" = "lab"."fluid" AND "demographic"."hadm_id" = "lab"."hadm_id" WHERE "1" < "demographic"."days_stay" | 0.196289 |
CREATE TABLE table_1180 ("Province" TEXT, "Swimsuit" TEXT, "Evening Gown" TEXT, "Interview" TEXT, "Average" TEXT)
| How many provinces have evening gown score of 8.49 | SELECT COUNT("Province") FROM table_1180 WHERE "Evening Gown" = '8.49' | SELECT COUNT("Province") FROM "table_1180" WHERE "Evening Gown" = '8.49' | 0.070313 |
CREATE TABLE table_2755 ("Pos" TEXT, "##" FLOAT, "Name" TEXT, "Team" TEXT, "Lap One" TEXT, "Lap Two" TEXT, "Lap Three" TEXT, "Lap Four" TEXT, "Total Time" TEXT, "Avg. Speed" TEXT)
| What was the average speed where lap four's time was 22.9049? | SELECT "Avg. Speed" FROM table_2755 WHERE "Lap Four" = '22.9049' | SELECT "Avg. Speed" FROM "table_2755" WHERE "Lap Four" = '22.9049' | 0.064453 |
CREATE TABLE table_28768469_7 (high_points VARCHAR, high_rebounds VARCHAR)
| What is listed in hight points when the high rebounds is listed as Nick Collison (10)? | SELECT high_points FROM table_28768469_7 WHERE high_rebounds = "Nick Collison (10)" | SELECT "high_points" FROM "table_28768469_7" WHERE "Nick Collison (10)" = "high_rebounds" | 0.086914 |
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 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)
| Count the number of patients whose primary disease is atrial septal defect mitral valve replacement repair atrial-septal defect/sda and drug route is nebulization. | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.diagnosis = "ATRIAL SEPTAL DEFECT\MITRAL VALVE REPLACEMENT;REPAIR ATRIAL-SEPTAL DEFECT/SDA" AND prescriptions.route = "NEB" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "prescriptions" ON "NEB" = "prescriptions"."route" AND "demographic"."hadm_id" = "prescriptions"."hadm_id" WHERE "ATRIAL SEPTAL DEFECT\MITRAL VALVE REPLACEMENT;REPAIR ATRIAL-SEPTAL DEFECT/SDA" = "demographic"."diagnosis" | 0.287109 |
CREATE TABLE countries (COUNTRY_ID VARCHAR, COUNTRY_NAME VARCHAR, REGION_ID DECIMAL)
CREATE TABLE jobs (JOB_ID VARCHAR, JOB_TITLE VARCHAR, MIN_SALARY DECIMAL, MAX_SALARY 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 locations (LOCATION_ID DECIMAL, STREET_ADDRESS VARCHAR, POSTAL_CODE VARCHAR, CITY VARCHAR, STATE_PROVINCE VARCHAR, COUNTRY_ID VARCHAR)
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 job_history (EMPLOYEE_ID DECIMAL, START_DATE DATE, END_DATE DATE, JOB_ID VARCHAR, DEPARTMENT_ID DECIMAL)
| For those employees who do not work in departments with managers that have ids between 100 and 200, draw a bar chart about the distribution of first_name and department_id , and I want to order X in asc order. | SELECT FIRST_NAME, DEPARTMENT_ID FROM employees WHERE NOT DEPARTMENT_ID IN (SELECT DEPARTMENT_ID FROM departments WHERE MANAGER_ID BETWEEN 100 AND 200) ORDER BY FIRST_NAME | SELECT "FIRST_NAME", "DEPARTMENT_ID" FROM "employees" WHERE NOT "DEPARTMENT_ID" IN (SELECT "DEPARTMENT_ID" FROM "departments" WHERE "MANAGER_ID" <= 200 AND "MANAGER_ID" >= 100) ORDER BY "FIRST_NAME" NULLS FIRST | 0.205078 |
CREATE TABLE table_204_62 (id DECIMAL, "year" DECIMAL, "winner" TEXT, "second" TEXT, "third" TEXT, "starters" DECIMAL)
| there have been at most how many starters in a breeders cup juvenile field ? | SELECT MAX("starters") FROM table_204_62 | SELECT MAX("starters") FROM "table_204_62" | 0.041016 |
CREATE TABLE book_club (publisher VARCHAR)
| Show all publishers and the number of books for each publisher. | SELECT publisher, COUNT(*) FROM book_club GROUP BY publisher | SELECT "publisher", COUNT(*) FROM "book_club" GROUP BY "publisher" | 0.064453 |
CREATE TABLE table_14026 ("Actor" TEXT, "Character" TEXT, "Soap Opera" TEXT, "Years" TEXT, "Duration" TEXT)
| What actor has onderweg naar morgen, as the soap opera, with aafke couwenberg as the character? | SELECT "Actor" FROM table_14026 WHERE "Soap Opera" = 'onderweg naar morgen' AND "Character" = 'aafke couwenberg' | SELECT "Actor" FROM "table_14026" WHERE "Character" = 'aafke couwenberg' AND "Soap Opera" = 'onderweg naar morgen' | 0.111328 |
CREATE TABLE table_80148 ("Designation" TEXT, "Constellation" TEXT, "Date sent" TEXT, "Arrival date" TEXT, "Message" TEXT)
| Where is Hip 4872? | SELECT "Constellation" FROM table_80148 WHERE "Designation" = 'hip 4872' | SELECT "Constellation" FROM "table_80148" WHERE "Designation" = 'hip 4872' | 0.072266 |
CREATE TABLE table_2701851_5 (directed_by VARCHAR, no_in_season VARCHAR)
| Who was the director for the Episode number in season 10a? | SELECT directed_by FROM table_2701851_5 WHERE no_in_season = "10a" | SELECT "directed_by" FROM "table_2701851_5" WHERE "10a" = "no_in_season" | 0.070313 |
CREATE TABLE table_203_522 (id DECIMAL, "week" DECIMAL, "date" TEXT, "opponent" TEXT, "results\ final score" TEXT, "results\ team record" TEXT, "venue" TEXT, "attendance" DECIMAL)
| against which opponent was there the greatest attendance ? | SELECT "opponent" FROM table_203_522 ORDER BY "attendance" DESC LIMIT 1 | SELECT "opponent" FROM "table_203_522" ORDER BY "attendance" DESC NULLS LAST LIMIT 1 | 0.082031 |
CREATE TABLE table_name_50 (away_team VARCHAR)
| What was South Melbourne's score as the away team? | SELECT away_team AS score FROM table_name_50 WHERE away_team = "south melbourne" | SELECT "away_team" AS "score" FROM "table_name_50" WHERE "away_team" = "south melbourne" | 0.085938 |
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 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 lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
| what is icu stay id of subject name paul edwards? | SELECT prescriptions.icustay_id FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.name = "Paul Edwards" | SELECT "prescriptions"."icustay_id" FROM "demographic" JOIN "prescriptions" ON "demographic"."hadm_id" = "prescriptions"."hadm_id" WHERE "Paul Edwards" = "demographic"."name" | 0.169922 |
CREATE TABLE table_56758 ("Round" FLOAT, "Pick" FLOAT, "Name" TEXT, "Position" TEXT, "School" TEXT)
| What pick had a wide receiver named johnny holloway? | SELECT "Pick" FROM table_56758 WHERE "Position" = 'wide receiver' AND "Name" = 'johnny holloway' | SELECT "Pick" FROM "table_56758" WHERE "Name" = 'johnny holloway' AND "Position" = 'wide receiver' | 0.095703 |
CREATE TABLE table_56959 ("Date" TEXT, "Visitor" TEXT, "Score" TEXT, "Home" TEXT, "Decision" TEXT, "Attendance" FLOAT, "Record" TEXT)
| What was the record while at home in Anaheim? | SELECT "Record" FROM table_56959 WHERE "Home" = 'anaheim' | SELECT "Record" FROM "table_56959" WHERE "Home" = 'anaheim' | 0.057617 |
CREATE TABLE table_1539201_1 (june VARCHAR)
| Name the junes | SELECT june FROM table_1539201_1 | SELECT "june" FROM "table_1539201_1" | 0.035156 |
CREATE TABLE table_name_54 (event VARCHAR, record VARCHAR)
| What was the event where justin robbins had a record of 9-4-1? | SELECT event FROM table_name_54 WHERE record = "9-4-1" | SELECT "event" FROM "table_name_54" WHERE "9-4-1" = "record" | 0.058594 |
CREATE TABLE table_49558 ("Place" TEXT, "Player" TEXT, "Country" TEXT, "Score" TEXT, "To par" TEXT)
| Where did Jay Haas place? | SELECT "Place" FROM table_49558 WHERE "Player" = 'jay haas' | SELECT "Place" FROM "table_49558" WHERE "Player" = 'jay haas' | 0.05957 |
CREATE TABLE customers (customer_id DECIMAL, customer_first_name TEXT, customer_last_name TEXT, customer_address TEXT, customer_phone TEXT, customer_email TEXT, other_customer_details TEXT)
CREATE TABLE financial_transactions (transaction_id DECIMAL, previous_transaction_id DECIMAL, account_id DECIMAL, card_id DECIMAL, transaction_type TEXT, transaction_date TIME, transaction_amount DECIMAL, transaction_comment TEXT, other_transaction_details TEXT)
CREATE TABLE customers_cards (card_id DECIMAL, customer_id DECIMAL, card_type_code TEXT, card_number TEXT, date_valid_from TIME, date_valid_to TIME, other_card_details TEXT)
CREATE TABLE accounts (account_id DECIMAL, customer_id DECIMAL, account_name TEXT, other_account_details TEXT)
| Return the id and full name of the customer who has the fewest accounts. | SELECT T1.customer_id, T2.customer_first_name, T2.customer_last_name FROM customers_cards AS T1 JOIN customers AS T2 ON T1.customer_id = T2.customer_id GROUP BY T1.customer_id ORDER BY COUNT(*) LIMIT 1 | SELECT "T1"."customer_id", "T2"."customer_first_name", "T2"."customer_last_name" FROM "customers_cards" AS "T1" JOIN "customers" AS "T2" ON "T1"."customer_id" = "T2"."customer_id" GROUP BY "T1"."customer_id" ORDER BY COUNT(*) NULLS FIRST LIMIT 1 | 0.239258 |
CREATE TABLE table_20374 ("N\\u00b0" FLOAT, "Television service" TEXT, "Country" TEXT, "Language" TEXT, "Content" TEXT, "DAR" TEXT, "HDTV" TEXT, "PPV" TEXT, "Package/Option" TEXT)
| Name the content for sky famiglia for italian and dar 16:9 for mtv hits | SELECT "Content" FROM table_20374 WHERE "Package/Option" = 'Sky Famiglia' AND "Language" = 'Italian' AND "DAR" = '16:9' AND "Television service" = 'MTV Hits' | SELECT "Content" FROM "table_20374" WHERE "DAR" = '16:9' AND "Language" = 'Italian' AND "Package/Option" = 'Sky Famiglia' AND "Television service" = 'MTV Hits' | 0.155273 |
CREATE TABLE CloseReasonTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE Comments (Id DECIMAL, PostId DECIMAL, Score DECIMAL, Text TEXT, CreationDate TIME, UserDisplayName TEXT, UserId DECIMAL, 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 ReviewTaskStates (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE PostHistoryTypes (Id DECIMAL, Name TEXT)
CREATE TABLE ReviewTasks (Id DECIMAL, ReviewTaskTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId DECIMAL, PostId DECIMAL, SuggestedEditId DECIMAL, CompletedByReviewTaskId DECIMAL)
CREATE TABLE PostNoticeTypes (Id DECIMAL, ClassId DECIMAL, Name TEXT, Body TEXT, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId 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 PostTags (PostId DECIMAL, TagId DECIMAL)
CREATE TABLE PostNotices (Id DECIMAL, PostId DECIMAL, PostNoticeTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body TEXT, OwnerUserId DECIMAL, DeletionUserId DECIMAL)
CREATE TABLE ReviewTaskTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE PostFeedback (Id DECIMAL, PostId DECIMAL, IsAnonymous BOOLEAN, VoteTypeId DECIMAL, CreationDate TIME)
CREATE TABLE SuggestedEditVotes (Id DECIMAL, SuggestedEditId DECIMAL, UserId DECIMAL, VoteTypeId DECIMAL, CreationDate TIME, TargetUserId DECIMAL, TargetRepChange DECIMAL)
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 PostTypes (Id DECIMAL, Name TEXT)
CREATE TABLE Votes (Id DECIMAL, PostId DECIMAL, VoteTypeId DECIMAL, UserId DECIMAL, CreationDate TIME, BountyAmount DECIMAL)
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 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 PostLinks (Id DECIMAL, CreationDate TIME, PostId DECIMAL, RelatedPostId DECIMAL, LinkTypeId DECIMAL)
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 Badges (Id DECIMAL, UserId DECIMAL, Name TEXT, Date TIME, Class DECIMAL, TagBased BOOLEAN)
CREATE TABLE ReviewTaskResults (Id DECIMAL, ReviewTaskId DECIMAL, ReviewTaskResultTypeId DECIMAL, CreationDate TIME, RejectionReasonId DECIMAL, Comment 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 ReviewTaskResultTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE PendingFlags (Id DECIMAL, FlagTypeId DECIMAL, PostId DECIMAL, CreationDate TIME, CloseReasonTypeId DECIMAL, CloseAsOffTopicReasonTypeId DECIMAL, DuplicateOfQuestionId DECIMAL, BelongsOnBaseHostAddress TEXT)
| Missing R tag in R related tag. Find posts without R tag, but with one of closely related tag | SELECT Id AS "post_link", Tags, LastActivityDate FROM Posts WHERE Posts.Id IN (SELECT PostTags.PostId FROM PostTags INNER JOIN Tags ON Tags.Id = PostTags.TagId WHERE Tags.TagName IN ('ggplot2', 'lattice', 'plyr', 'data.frame', 'sweave', 'lapply', 'sapply', 'r') GROUP BY PostTags.PostId HAVING COUNT(CASE WHEN Tags.TagName = 'r' THEN 1 END) = 0 AND COUNT(*) > 0) AND LastActivityDate > '2011-03-01' ORDER BY LastActivityDate DESC | WITH "_u_0" AS (SELECT "PostTags"."PostId" FROM "PostTags" JOIN "Tags" ON "PostTags"."TagId" = "Tags"."Id" AND "Tags"."TagName" IN ('ggplot2', 'lattice', 'plyr', 'data.frame', 'sweave', 'lapply', 'sapply', 'r') GROUP BY "PostTags"."PostId", "PostId" HAVING COUNT(CASE WHEN "Tags"."TagName" = 'r' THEN 1 END) = 0 AND COUNT(*) > 0) SELECT "Id" AS "post_link", "Tags", "LastActivityDate" FROM "Posts" LEFT JOIN "_u_0" AS "_u_0" ON "Posts"."Id" = "_u_0"."" WHERE "LastActivityDate" > '2011-03-01' AND NOT "_u_0"."" IS NULL ORDER BY "LastActivityDate" DESC NULLS LAST | 0.548828 |
CREATE TABLE table_204_602 (id DECIMAL, "name" TEXT, "position" TEXT, "height" TEXT, "weight" DECIMAL, "date of birth" TEXT, "current/last known team" TEXT)
| which player is taller , brown or olmeda ? | SELECT "name" FROM table_204_602 WHERE "name" IN ('bobby brown', 'jose olmeda') ORDER BY "height" DESC LIMIT 1 | SELECT "name" FROM "table_204_602" WHERE "name" IN ('bobby brown', 'jose olmeda') ORDER BY "height" DESC NULLS LAST LIMIT 1 | 0.120117 |
CREATE TABLE journal (journalid INT, journalname VARCHAR)
CREATE TABLE author (authorid INT, authorname VARCHAR)
CREATE TABLE paperdataset (paperid INT, datasetid INT)
CREATE TABLE paperkeyphrase (paperid INT, keyphraseid INT)
CREATE TABLE field (fieldid INT)
CREATE TABLE keyphrase (keyphraseid INT, keyphrasename VARCHAR)
CREATE TABLE dataset (datasetid INT, datasetname VARCHAR)
CREATE TABLE cite (citingpaperid INT, citedpaperid INT)
CREATE TABLE venue (venueid INT, venuename VARCHAR)
CREATE TABLE writes (paperid INT, authorid INT)
CREATE TABLE paperfield (fieldid INT, paperid INT)
CREATE TABLE paper (paperid INT, title VARCHAR, venueid INT, year INT, numciting INT, numcitedby INT, journalid INT)
| ACL papers in 2012 on Parsing | SELECT DISTINCT paper.paperid FROM keyphrase, paper, paperkeyphrase, venue WHERE keyphrase.keyphrasename = 'Parsing' AND paperkeyphrase.keyphraseid = keyphrase.keyphraseid AND paper.paperid = paperkeyphrase.paperid AND paper.year = 2012 AND venue.venueid = paper.venueid AND venue.venuename = 'ACL' | SELECT DISTINCT "paper"."paperid" FROM "keyphrase" JOIN "paperkeyphrase" ON "keyphrase"."keyphraseid" = "paperkeyphrase"."keyphraseid" JOIN "paper" ON "paper"."paperid" = "paperkeyphrase"."paperid" AND "paper"."year" = 2012 JOIN "venue" ON "paper"."venueid" = "venue"."venueid" AND "venue"."venuename" = 'ACL' WHERE "keyphrase"."keyphrasename" = 'Parsing' | 0.34668 |
CREATE TABLE table_name_87 (home VARCHAR, date VARCHAR)
| Which home team was playing on January 13? | SELECT home FROM table_name_87 WHERE date = "january 13" | SELECT "home" FROM "table_name_87" WHERE "date" = "january 13" | 0.060547 |
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 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)
| how many patients born before the year 2090 had undergone the procedure radical cystectomy? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.dob_year < "2090" AND procedures.long_title = "Radical cystectomy" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "procedures" ON "Radical cystectomy" = "procedures"."long_title" AND "demographic"."hadm_id" = "procedures"."hadm_id" WHERE "2090" > "demographic"."dob_year" | 0.225586 |
CREATE TABLE table_78860 ("Week" FLOAT, "Event" TEXT, "Air Date" TEXT, "Winning team" TEXT, "Winners club" TEXT)
| Which Week has an Air Date of august 2, 2008? | SELECT "Week" FROM table_78860 WHERE "Air Date" = 'august 2, 2008' | SELECT "Week" FROM "table_78860" WHERE "Air Date" = 'august 2, 2008' | 0.066406 |
CREATE TABLE table_name_2 (time_retired VARCHAR, grid VARCHAR)
| What shows as the Time/Retired for Grid 8? | SELECT time_retired FROM table_name_2 WHERE grid = "8" | SELECT "time_retired" FROM "table_name_2" WHERE "8" = "grid" | 0.058594 |
CREATE TABLE microbiologyevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, charttime TIME, spec_type_desc TEXT, org_name TEXT)
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)
CREATE TABLE inputevents_cv (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, amount DECIMAL)
CREATE TABLE d_icd_diagnoses (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title 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 procedures_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE d_items (row_id DECIMAL, itemid DECIMAL, label TEXT, linksto 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 patients (row_id DECIMAL, subject_id DECIMAL, gender TEXT, dob TIME, dod TIME)
CREATE TABLE labevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom 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 diagnoses_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime 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 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 d_icd_procedures (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
| how many days has passed since patient 30826 was admitted into the hospital? | SELECT 1 * (STRFTIME('%j', CURRENT_TIME()) - STRFTIME('%j', admissions.admittime)) FROM admissions WHERE admissions.subject_id = 30826 AND admissions.dischtime IS NULL | SELECT 1 * (STRFTIME('%j', CURRENT_TIME()) - STRFTIME('%j', "admissions"."admittime")) FROM "admissions" WHERE "admissions"."dischtime" IS NULL AND "admissions"."subject_id" = 30826 | 0.176758 |
CREATE TABLE table_17822 ("Club" TEXT, "Played" TEXT, "Won" TEXT, "Drawn" TEXT, "Lost" TEXT, "Points for" TEXT, "Points against" TEXT, "Tries for" TEXT, "Tries against" TEXT, "Try bonus" TEXT, "Losing bonus" TEXT, "Points" TEXT)
| HOW MANY GAMES WERE TIED AT 76? | SELECT "Drawn" FROM table_17822 WHERE "Points" = '76' | SELECT "Drawn" FROM "table_17822" WHERE "Points" = '76' | 0.053711 |
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)
| how many patients whose admission type is newborn and item id is 51300? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.admission_type = "NEWBORN" AND lab.itemid = "51300" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "lab" ON "51300" = "lab"."itemid" AND "demographic"."hadm_id" = "lab"."hadm_id" WHERE "NEWBORN" = "demographic"."admission_type" | 0.197266 |
CREATE TABLE table_2986 ("No. in series" FLOAT, "No. in season" FLOAT, "Title" TEXT, "Directed by" TEXT, "Written by" TEXT, "Original air date" TEXT, "Production code" FLOAT)
| Name the number of airdates for 14 | SELECT COUNT("Original air date") FROM table_2986 WHERE "No. in season" = '14' | SELECT COUNT("Original air date") FROM "table_2986" WHERE "No. in season" = '14' | 0.078125 |
CREATE TABLE table_7955 ("Rank" TEXT, "Gold" FLOAT, "Silver" FLOAT, "Bronze" FLOAT, "Total" FLOAT)
| What is the highest Gold that has a Silver less than 7 and Bronze less than 0 | SELECT MAX("Gold") FROM table_7955 WHERE "Silver" < '7' AND "Bronze" < '0' | SELECT MAX("Gold") FROM "table_7955" WHERE "Bronze" < '0' AND "Silver" < '7' | 0.074219 |
CREATE TABLE table_name_39 (sensor_resolution VARCHAR, cpu_usage VARCHAR, camera VARCHAR)
| What was the sensor resolution with a minimal CPU usage for a naturalpoint trackir 3 pro? | SELECT sensor_resolution FROM table_name_39 WHERE cpu_usage = "minimal" AND camera = "naturalpoint trackir 3 pro" | SELECT "sensor_resolution" FROM "table_name_39" WHERE "camera" = "naturalpoint trackir 3 pro" AND "cpu_usage" = "minimal" | 0.118164 |
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 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 procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
| give me the number of patients whose religion is episcopalian and diagnoses short title is intestinovesical fistula? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.religion = "EPISCOPALIAN" AND diagnoses.short_title = "Intestinovesical fistula" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "Intestinovesical fistula" = "diagnoses"."short_title" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" WHERE "EPISCOPALIAN" = "demographic"."religion" | 0.237305 |
CREATE TABLE table_name_96 (champion VARCHAR, runner_up VARCHAR, score VARCHAR)
| Which Champion has a Runner-up of florian mayer, and a Score of 7 6(6), 4 6, 7 5? | SELECT champion FROM table_name_96 WHERE runner_up = "florian mayer" AND score = "7–6(6), 4–6, 7–5" | SELECT "champion" FROM "table_name_96" WHERE "7–6(6), 4–6, 7–5" = "score" AND "florian mayer" = "runner_up" | 0.104492 |
CREATE TABLE table_204_647 (id DECIMAL, "year" DECIMAL, "film" TEXT, "role" TEXT, "language" TEXT)
| what was the actor 's first film ? | SELECT "film" FROM table_204_647 ORDER BY "year" LIMIT 1 | SELECT "film" FROM "table_204_647" ORDER BY "year" NULLS FIRST LIMIT 1 | 0.068359 |
CREATE TABLE table_48582 ("Date" TEXT, "Opponent" TEXT, "Site" TEXT, "Result" TEXT, "Attendance" TEXT)
| What was the attendance on 10/29/1932? | SELECT "Attendance" FROM table_48582 WHERE "Date" = '10/29/1932' | SELECT "Attendance" FROM "table_48582" WHERE "Date" = '10/29/1932' | 0.064453 |
CREATE TABLE table_18831 ("Club" TEXT, "Played" TEXT, "Won" TEXT, "Drawn" TEXT, "Lost" TEXT, "Points for" TEXT, "Points against" TEXT, "Tries for" TEXT, "Tries against" TEXT, "Try bonus" TEXT, "Losing bonus" TEXT, "Points" TEXT)
| What amount had all played that lost were 8? | SELECT "Played" FROM table_18831 WHERE "Lost" = '8' | SELECT "Played" FROM "table_18831" WHERE "Lost" = '8' | 0.051758 |
CREATE TABLE table_203_51 (id DECIMAL, "channel" TEXT, "definition" TEXT, "organisation" TEXT, "ownership" TEXT, "notes" TEXT)
| what number of organizations have private ownership ? | SELECT COUNT("organisation") FROM table_203_51 WHERE "ownership" = 'private' | SELECT COUNT("organisation") FROM "table_203_51" WHERE "ownership" = 'private' | 0.076172 |
CREATE TABLE table_name_31 (date VARCHAR, week VARCHAR, opponent VARCHAR)
| Which Date has a Week smaller than 8, and an Opponent of atlanta falcons? | SELECT date FROM table_name_31 WHERE week < 8 AND opponent = "atlanta falcons" | SELECT "date" FROM "table_name_31" WHERE "atlanta falcons" = "opponent" AND "week" < 8 | 0.083984 |
CREATE TABLE table_47625 ("Res." TEXT, "Record" TEXT, "Opponent" TEXT, "Method" TEXT, "Event" TEXT, "Round" FLOAT, "Time" TEXT, "Location" TEXT)
| What location had the opponent Hiroyuki Abe? | SELECT "Location" FROM table_47625 WHERE "Opponent" = 'hiroyuki abe' | SELECT "Location" FROM "table_47625" WHERE "Opponent" = 'hiroyuki abe' | 0.068359 |
CREATE TABLE College (cName VARCHAR, state VARCHAR, enr DECIMAL)
CREATE TABLE Player (pID DECIMAL, pName VARCHAR, yCard VARCHAR, HS DECIMAL)
CREATE TABLE Tryout (pID DECIMAL, cName VARCHAR, pPos VARCHAR, decision VARCHAR)
| Bar graph to show minimal enr from different cname, could you display by the X in desc? | SELECT cName, MIN(enr) FROM College GROUP BY state ORDER BY cName DESC | SELECT "cName", MIN("enr") FROM "College" GROUP BY "state" ORDER BY "cName" DESC NULLS LAST | 0.088867 |
CREATE TABLE table_name_42 (season VARCHAR, skip VARCHAR, third VARCHAR)
| What is the season with a Skip of Eve Muirhead and a third of Kerry Barr? | SELECT season FROM table_name_42 WHERE skip = "eve muirhead" AND third = "kerry barr" | SELECT "season" FROM "table_name_42" WHERE "eve muirhead" = "skip" AND "kerry barr" = "third" | 0.09082 |
CREATE TABLE table_name_68 (founded INT, enrollment VARCHAR)
| What is the average Founded, when Enrollment is 4,000? | SELECT AVG(founded) FROM table_name_68 WHERE enrollment = 4 OFFSET 000 | SELECT AVG("founded") FROM "table_name_68" WHERE "enrollment" = 4 OFFSET 000 | 0.074219 |
CREATE TABLE table_23074 ("Region" TEXT, "Wing" TEXT, "Inspection" FLOAT, "Standard" FLOAT, "Indoor" FLOAT, "Outdoor" FLOAT, "Written" FLOAT, "Panel Quiz" FLOAT, "Mile Run" FLOAT, "Points" FLOAT, "Overall" TEXT)
| What is the indoor number for the NJ wing/ | SELECT "Indoor" FROM table_23074 WHERE "Wing" = 'NJ' | SELECT "Indoor" FROM "table_23074" WHERE "Wing" = 'NJ' | 0.052734 |
CREATE TABLE table_16193 ("Team" TEXT, "Outgoing manager" TEXT, "Manner of departure" TEXT, "Date of vacancy" TEXT, "Replaced by" TEXT, "Date of appointment" TEXT, "Position in table" TEXT)
| Who replaced when position in table is pre-season? | SELECT "Replaced by" FROM table_16193 WHERE "Position in table" = 'Pre-season' | SELECT "Replaced by" FROM "table_16193" WHERE "Position in table" = 'Pre-season' | 0.078125 |
CREATE TABLE diagnoses_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE cost (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, event_type TEXT, event_id DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE labevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom 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 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 microbiologyevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, charttime TIME, spec_type_desc TEXT, org_name 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 d_labitems (row_id DECIMAL, itemid DECIMAL, label 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 patients (row_id DECIMAL, subject_id DECIMAL, gender TEXT, dob TIME, dod TIME)
CREATE TABLE procedures_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
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 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 outputevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, value DECIMAL)
| what was the last value of arterial bp [diastolic] patient 11064 had on the last icu visit. | SELECT chartevents.valuenum FROM chartevents WHERE chartevents.icustay_id IN (SELECT icustays.icustay_id FROM icustays WHERE icustays.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 11064) AND NOT icustays.outtime IS NULL ORDER BY icustays.intime DESC LIMIT 1) AND chartevents.itemid IN (SELECT d_items.itemid FROM d_items WHERE d_items.label = 'arterial bp [diastolic]' AND d_items.linksto = 'chartevents') ORDER BY chartevents.charttime DESC LIMIT 1 | WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 11064 GROUP BY "hadm_id"), "_u_2" AS (SELECT "d_items"."itemid" FROM "d_items" WHERE "d_items"."label" = 'arterial bp [diastolic]' AND "d_items"."linksto" = 'chartevents' GROUP BY "itemid") SELECT "chartevents"."valuenum" FROM "chartevents" LEFT JOIN "_u_2" AS "_u_2" ON "_u_2"."" = "chartevents"."itemid" WHERE "chartevents"."icustay_id" IN (SELECT "icustays"."icustay_id" FROM "icustays" LEFT JOIN "_u_0" AS "_u_0" ON "_u_0"."" = "icustays"."hadm_id" WHERE NOT "_u_0"."" IS NULL AND NOT "icustays"."outtime" IS NULL ORDER BY "icustays"."intime" DESC NULLS LAST LIMIT 1) AND NOT "_u_2"."" IS NULL ORDER BY "chartevents"."charttime" DESC NULLS LAST LIMIT 1 | 0.736328 |
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 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)
| how many patients whose year of birth is less than 2056 and lab test fluid is cerebrospinal fluid (csf)? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.dob_year < "2056" AND lab.fluid = "Cerebrospinal Fluid (CSF)" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "lab" ON "Cerebrospinal Fluid (CSF)" = "lab"."fluid" AND "demographic"."hadm_id" = "lab"."hadm_id" WHERE "2056" > "demographic"."dob_year" | 0.207031 |
CREATE TABLE microlab (microlabid DECIMAL, patientunitstayid DECIMAL, culturesite TEXT, organism TEXT, culturetakentime TIME)
CREATE TABLE diagnosis (diagnosisid DECIMAL, patientunitstayid DECIMAL, diagnosisname TEXT, diagnosistime TIME, icd9code TEXT)
CREATE TABLE lab (labid DECIMAL, patientunitstayid DECIMAL, labname TEXT, labresult DECIMAL, labresulttime TIME)
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 allergy (allergyid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, allergyname TEXT, allergytime TIME)
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 cost (costid DECIMAL, uniquepid TEXT, patienthealthsystemstayid DECIMAL, eventtype TEXT, eventid DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE treatment (treatmentid DECIMAL, patientunitstayid DECIMAL, treatmentname TEXT, treatmenttime TIME)
CREATE TABLE medication (medicationid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, dosage TEXT, routeadmin TEXT, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE intakeoutput (intakeoutputid DECIMAL, patientunitstayid DECIMAL, cellpath TEXT, celllabel TEXT, cellvaluenumeric DECIMAL, intakeoutputtime TIME)
| what was the name of the prescription drug patient 012-85821 was prescribed during the same day after having received a vte prophylaxis - coumadin procedure in 04/2102? | SELECT t2.drugname FROM (SELECT patient.uniquepid, treatment.treatmenttime FROM treatment JOIN patient ON treatment.patientunitstayid = patient.patientunitstayid WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '012-85821') AND treatment.treatmentname = 'vte prophylaxis - coumadin' AND STRFTIME('%y-%m', treatment.treatmenttime) = '2102-04') AS t1 JOIN (SELECT patient.uniquepid, medication.drugname, medication.drugstarttime FROM medication JOIN patient ON medication.patientunitstayid = patient.patientunitstayid WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '012-85821') AND STRFTIME('%y-%m', medication.drugstarttime) = '2102-04') AS t2 ON t1.uniquepid = t2.uniquepid WHERE t1.treatmenttime < t2.drugstarttime AND DATETIME(t1.treatmenttime, 'start of day') = DATETIME(t2.drugstarttime, 'start of day') | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '012-85821' GROUP BY "patienthealthsystemstayid"), "t2" AS (SELECT "patient"."uniquepid", "medication"."drugname", "medication"."drugstarttime" FROM "medication" JOIN "patient" ON "medication"."patientunitstayid" = "patient"."patientunitstayid" LEFT JOIN "_u_0" AS "_u_1" ON "_u_1"."" = "patient"."patienthealthsystemstayid" WHERE NOT "_u_1"."" IS NULL AND STRFTIME('%y-%m', "medication"."drugstarttime") = '2102-04') SELECT "t2"."drugname" FROM "treatment" JOIN "patient" ON "patient"."patientunitstayid" = "treatment"."patientunitstayid" LEFT JOIN "_u_0" AS "_u_0" ON "_u_0"."" = "patient"."patienthealthsystemstayid" JOIN "t2" AS "t2" ON "patient"."uniquepid" = "t2"."uniquepid" AND "t2"."drugstarttime" > "treatment"."treatmenttime" AND DATETIME("t2"."drugstarttime", 'start of day') = DATETIME("treatment"."treatmenttime", 'start of day') WHERE "treatment"."treatmentname" = 'vte prophylaxis - coumadin' AND NOT "_u_0"."" IS NULL AND STRFTIME('%y-%m', "treatment"."treatmenttime") = '2102-04' | 1.077148 |
CREATE TABLE table_8574 ("Region" TEXT, "Date" TEXT, "Label" TEXT, "Format" TEXT, "Catalog" TEXT)
| The Catalog of ilps 9153 is from what region? | SELECT "Region" FROM table_8574 WHERE "Catalog" = 'ilps 9153' | SELECT "Region" FROM "table_8574" WHERE "Catalog" = 'ilps 9153' | 0.061523 |
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 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)
| what is lab test name of subject id 2560? | SELECT lab.label FROM lab WHERE lab.subject_id = "2560" | SELECT "lab"."label" FROM "lab" WHERE "2560" = "lab"."subject_id" | 0.063477 |
CREATE TABLE station (Station_ID INT, Name TEXT, Annual_entry_exit FLOAT, Annual_interchanges FLOAT, Total_Passengers FLOAT, Location TEXT, Main_Services TEXT, Number_of_Platforms INT)
CREATE TABLE train_station (Train_ID INT, Station_ID INT)
CREATE TABLE train (Train_ID INT, Name TEXT, Time TEXT, Service TEXT)
| Show the name of all trains, count the name and show them with a bar chart, show by the Y-axis from high to low please. | SELECT Name, COUNT(Name) FROM train GROUP BY Name ORDER BY COUNT(Name) DESC | SELECT "Name", COUNT("Name") FROM "train" GROUP BY "Name" ORDER BY COUNT("Name") DESC NULLS LAST | 0.09375 |
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 food_service (meal_code TEXT, meal_number INT, compartment TEXT, meal_description VARCHAR)
CREATE TABLE code_description (code VARCHAR, description TEXT)
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 city (city_code VARCHAR, city_name VARCHAR, state_code VARCHAR, country_name VARCHAR, time_zone_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)
CREATE TABLE date_day (month_number INT, day_number INT, year INT, day_name VARCHAR)
CREATE TABLE month (month_number INT, month_name TEXT)
CREATE TABLE equipment_sequence (aircraft_code_sequence VARCHAR, aircraft_code VARCHAR)
CREATE TABLE compartment_class (compartment VARCHAR, class_type VARCHAR)
CREATE TABLE class_of_service (booking_class VARCHAR, rank INT, class_description 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 flight_fare (flight_id INT, fare_id INT)
CREATE TABLE days (days_code VARCHAR, day_name VARCHAR)
CREATE TABLE ground_service (city_code TEXT, airport_code TEXT, transport_type TEXT, ground_fare 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 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 airport_service (city_code VARCHAR, airport_code VARCHAR, miles_distant INT, direction VARCHAR, minutes_distant INT)
CREATE TABLE dual_carrier (main_airline VARCHAR, low_flight_number INT, high_flight_number INT, dual_airline VARCHAR, service_name TEXT)
CREATE TABLE time_interval (period TEXT, begin_time INT, end_time INT)
CREATE TABLE flight_leg (flight_id INT, leg_number INT, leg_flight INT)
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 time_zone (time_zone_code TEXT, time_zone_name TEXT, hours_from_gmt INT)
CREATE TABLE airline (airline_code VARCHAR, airline_name TEXT, note TEXT)
CREATE TABLE state (state_code TEXT, state_name TEXT, country_name TEXT)
| show me flights from MILWAUKEE to ORLANDO on wednesday night or thursday morning | SELECT DISTINCT flight.flight_id FROM airport_service AS AIRPORT_SERVICE_0, airport_service AS AIRPORT_SERVICE_1, city AS CITY_0, city AS CITY_1, date_day, days, flight WHERE ((((flight.departure_time <= 2359 AND flight.departure_time >= 1800) AND date_day.day_number = 23 AND date_day.month_number = 4 AND date_day.year = 1991 AND days.day_name = date_day.day_name AND flight.flight_days = days.days_code) OR ((flight.departure_time <= 1200 AND flight.departure_time >= 0) AND date_day.day_number = 23 AND date_day.month_number = 4 AND date_day.year = 1991 AND days.day_name = date_day.day_name AND flight.flight_days = days.days_code)) AND CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'ORLANDO' AND flight.to_airport = AIRPORT_SERVICE_1.airport_code) AND CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'MILWAUKEE' AND flight.from_airport = AIRPORT_SERVICE_0.airport_code | SELECT DISTINCT "flight"."flight_id" FROM "airport_service" AS "AIRPORT_SERVICE_0" JOIN "date_day" ON "date_day"."day_number" = 23 AND "date_day"."month_number" = 4 AND "date_day"."year" = 1991 JOIN "city" AS "CITY_0" ON "AIRPORT_SERVICE_0"."city_code" = "CITY_0"."city_code" AND "CITY_0"."city_name" = 'MILWAUKEE' JOIN "days" ON "date_day"."day_name" = "days"."day_name" JOIN "flight" ON "AIRPORT_SERVICE_0"."airport_code" = "flight"."from_airport" AND "days"."days_code" = "flight"."flight_days" AND ("flight"."departure_time" <= 1200 OR "flight"."departure_time" >= 1800) AND "flight"."departure_time" <= 2359 AND "flight"."departure_time" >= 0 JOIN "airport_service" AS "AIRPORT_SERVICE_1" ON "AIRPORT_SERVICE_1"."airport_code" = "flight"."to_airport" JOIN "city" AS "CITY_1" ON "AIRPORT_SERVICE_1"."city_code" = "CITY_1"."city_code" AND "CITY_1"."city_name" = 'ORLANDO' | 0.853516 |
CREATE TABLE table_1341577_22 (district VARCHAR, first_elected VARCHAR)
| What is the district for 1952? | SELECT district FROM table_1341577_22 WHERE first_elected = 1952 | SELECT "district" FROM "table_1341577_22" WHERE "first_elected" = 1952 | 0.068359 |
CREATE TABLE table_72486 ("N" FLOAT, "P" TEXT, "Name" TEXT, "EU" TEXT, "Country" TEXT, "Age" FLOAT, "Type" TEXT, "Moving from" TEXT, "Transfer window" TEXT, "Ends" TEXT, "Transfer fee" TEXT, "Source" TEXT)
| What is the EU status of ESP? | SELECT "EU" FROM table_72486 WHERE "Country" = 'ESP' | SELECT "EU" FROM "table_72486" WHERE "Country" = 'ESP' | 0.052734 |
CREATE TABLE table_22710 ("Period" TEXT, "Live births per year" TEXT, "Deaths per year" TEXT, "Natural change per year" TEXT, "CBR*" TEXT, "CDR*" TEXT, "NC*" TEXT, "TFR*" TEXT, "IMR*" FLOAT, "Life expectancy total" TEXT, "Life expectancy males" TEXT, "Life expectancy females" TEXT)
| What's the CBR for the period with 1 058 000 deaths per year? | SELECT "CBR*" FROM table_22710 WHERE "Deaths per year" = '1 058 000' | SELECT "CBR*" FROM "table_22710" WHERE "Deaths per year" = '1 058 000' | 0.068359 |
CREATE TABLE table_47970 ("Date" TEXT, "Opponent" TEXT, "Home / Away" TEXT, "Score" TEXT, "High points" TEXT, "High rebounds" TEXT, "High assists" TEXT, "Location/Attendance" TEXT, "Record" TEXT)
| What were the high points on March 29? | SELECT "High points" FROM table_47970 WHERE "Date" = 'march 29' | SELECT "High points" FROM "table_47970" WHERE "Date" = 'march 29' | 0.063477 |
CREATE TABLE diagnosis (diagnosisid DECIMAL, patientunitstayid DECIMAL, diagnosisname TEXT, diagnosistime TIME, icd9code TEXT)
CREATE TABLE microlab (microlabid DECIMAL, patientunitstayid DECIMAL, culturesite TEXT, organism TEXT, culturetakentime TIME)
CREATE TABLE treatment (treatmentid DECIMAL, patientunitstayid DECIMAL, treatmentname TEXT, treatmenttime TIME)
CREATE TABLE medication (medicationid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, dosage TEXT, routeadmin TEXT, drugstarttime TIME, drugstoptime TIME)
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 lab (labid DECIMAL, patientunitstayid DECIMAL, labname TEXT, labresult DECIMAL, labresulttime TIME)
CREATE TABLE intakeoutput (intakeoutputid DECIMAL, patientunitstayid DECIMAL, cellpath TEXT, celllabel TEXT, cellvaluenumeric DECIMAL, intakeoutputtime TIME)
CREATE TABLE allergy (allergyid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, allergyname TEXT, allergytime TIME)
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 cost (costid DECIMAL, uniquepid TEXT, patienthealthsystemstayid DECIMAL, eventtype TEXT, eventid DECIMAL, chargetime TIME, cost DECIMAL)
| how many patients until 2104 underwent a insulin - subcutaneous dose of longer-acting insulin prepara after the previous cultures - sputum procedure during the same hospital visit? | SELECT COUNT(DISTINCT t1.uniquepid) FROM (SELECT patient.uniquepid, treatment.treatmenttime, patient.patienthealthsystemstayid FROM treatment JOIN patient ON treatment.patientunitstayid = patient.patientunitstayid WHERE treatment.treatmentname = 'cultures - sputum' AND STRFTIME('%y', treatment.treatmenttime) <= '2104') AS t1 JOIN (SELECT patient.uniquepid, treatment.treatmenttime, patient.patienthealthsystemstayid FROM treatment JOIN patient ON treatment.patientunitstayid = patient.patientunitstayid WHERE treatment.treatmentname = 'insulin - subcutaneous dose of longer-acting insulin prepara' AND STRFTIME('%y', treatment.treatmenttime) <= '2104') AS t2 WHERE t1.treatmenttime < t2.treatmenttime AND t1.patienthealthsystemstayid = t2.patienthealthsystemstayid | WITH "t2" AS (SELECT "treatment"."treatmenttime", "patient"."patienthealthsystemstayid" FROM "treatment" JOIN "patient" ON "patient"."patientunitstayid" = "treatment"."patientunitstayid" WHERE "treatment"."treatmentname" = 'insulin - subcutaneous dose of longer-acting insulin prepara' AND STRFTIME('%y', "treatment"."treatmenttime") <= '2104') SELECT COUNT(DISTINCT "patient"."uniquepid") FROM "treatment" JOIN "patient" ON "patient"."patientunitstayid" = "treatment"."patientunitstayid" JOIN "t2" AS "t2" ON "patient"."patienthealthsystemstayid" = "t2"."patienthealthsystemstayid" AND "t2"."treatmenttime" > "treatment"."treatmenttime" WHERE "treatment"."treatmentname" = 'cultures - sputum' AND STRFTIME('%y', "treatment"."treatmenttime") <= '2104' | 0.733398 |
CREATE TABLE medication (medicationid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, dosage TEXT, routeadmin TEXT, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE allergy (allergyid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, allergyname TEXT, allergytime TIME)
CREATE TABLE microlab (microlabid DECIMAL, patientunitstayid DECIMAL, culturesite TEXT, organism TEXT, culturetakentime TIME)
CREATE TABLE diagnosis (diagnosisid DECIMAL, patientunitstayid DECIMAL, diagnosisname TEXT, diagnosistime TIME, icd9code TEXT)
CREATE TABLE lab (labid DECIMAL, patientunitstayid DECIMAL, labname TEXT, labresult DECIMAL, labresulttime TIME)
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 treatment (treatmentid DECIMAL, patientunitstayid DECIMAL, treatmentname TEXT, treatmenttime TIME)
CREATE TABLE cost (costid DECIMAL, uniquepid TEXT, patienthealthsystemstayid DECIMAL, eventtype TEXT, eventid DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE intakeoutput (intakeoutputid DECIMAL, patientunitstayid DECIMAL, cellpath TEXT, celllabel TEXT, cellvaluenumeric DECIMAL, intakeoutputtime TIME)
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)
| what was the maximum daily number of patients diagnosed with hypotension / pressor dependent - r/o adrenal insufficiency since 2104? | SELECT MAX(t1.c1) FROM (SELECT COUNT(DISTINCT diagnosis.patientunitstayid) AS c1 FROM diagnosis WHERE diagnosis.diagnosisname = 'hypotension / pressor dependent - r/o adrenal insufficiency' AND STRFTIME('%y', diagnosis.diagnosistime) >= '2104' GROUP BY STRFTIME('%y-%m-%d', diagnosis.diagnosistime)) AS t1 | WITH "t1" AS (SELECT COUNT(DISTINCT "diagnosis"."patientunitstayid") AS "c1" FROM "diagnosis" WHERE "diagnosis"."diagnosisname" = 'hypotension / pressor dependent - r/o adrenal insufficiency' AND STRFTIME('%y', "diagnosis"."diagnosistime") >= '2104' GROUP BY STRFTIME('%y-%m-%d', "diagnosis"."diagnosistime")) SELECT MAX("t1"."c1") FROM "t1" AS "t1" | 0.34082 |
CREATE TABLE record (ID INT, Result TEXT, Swimmer_ID INT, Event_ID INT)
CREATE TABLE swimmer (ID INT, name TEXT, Nationality TEXT, meter_100 FLOAT, meter_200 TEXT, meter_300 TEXT, meter_400 TEXT, meter_500 TEXT, meter_600 TEXT, meter_700 TEXT, Time TEXT)
CREATE TABLE stadium (ID INT, name TEXT, Capacity INT, City TEXT, Country TEXT, Opening_year INT)
CREATE TABLE event (ID INT, Name TEXT, Stadium_ID INT, Year TEXT)
| Give me the comparison about the sum of meter_100 over the Nationality , and group by attribute Nationality. | SELECT Nationality, SUM(meter_100) FROM swimmer GROUP BY Nationality | SELECT "Nationality", SUM("meter_100") FROM "swimmer" GROUP BY "Nationality" | 0.074219 |
CREATE TABLE table_52781 ("Date" TEXT, "Venue" TEXT, "Score" TEXT, "Result" TEXT, "Competition" TEXT)
| What was the score of the game played in the 2012 Africa Cup of Nations? | SELECT "Score" FROM table_52781 WHERE "Competition" = '2012 africa cup of nations' | SELECT "Score" FROM "table_52781" WHERE "Competition" = '2012 africa cup of nations' | 0.082031 |
CREATE TABLE table_name_59 (record VARCHAR, game VARCHAR)
| What was the record when they played game 58? | SELECT record FROM table_name_59 WHERE game = 58 | SELECT "record" FROM "table_name_59" WHERE "game" = 58 | 0.052734 |
CREATE TABLE procedures_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE d_items (row_id DECIMAL, itemid DECIMAL, label TEXT, linksto TEXT)
CREATE TABLE d_icd_procedures (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE patients (row_id DECIMAL, subject_id DECIMAL, gender TEXT, dob TIME, dod TIME)
CREATE TABLE diagnoses_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE microbiologyevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, charttime TIME, spec_type_desc TEXT, org_name 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 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 labevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE d_labitems (row_id DECIMAL, itemid DECIMAL, label 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 cost (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, event_type TEXT, event_id DECIMAL, chargetime TIME, cost DECIMAL)
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_diagnoses (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title 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 outputevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, value DECIMAL)
| among the patients of the age 60 or above since 2102, what is the top four prescribed drugs? | SELECT t1.drug FROM (SELECT prescriptions.drug, DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS c1 FROM prescriptions WHERE prescriptions.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.age >= 60) AND STRFTIME('%y', prescriptions.startdate) >= '2102' GROUP BY prescriptions.drug) AS t1 WHERE t1.c1 <= 4 | WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."age" >= 60 GROUP BY "hadm_id"), "t1" AS (SELECT "prescriptions"."drug", DENSE_RANK() OVER (ORDER BY COUNT(*) DESC NULLS LAST) 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', "prescriptions"."startdate") >= '2102' GROUP BY "prescriptions"."drug") SELECT "t1"."drug" FROM "t1" AS "t1" WHERE "t1"."c1" <= 4 | 0.47168 |
CREATE TABLE table_name_96 (league INT, player VARCHAR, total VARCHAR)
| How many league cups for m patrick maria with 0 total? | SELECT SUM(league) FROM table_name_96 WHERE player = "m patrick maria" AND total < 0 | SELECT SUM("league") FROM "table_name_96" WHERE "m patrick maria" = "player" AND "total" < 0 | 0.089844 |
CREATE TABLE table_name_16 (wins VARCHAR, team VARCHAR, f_laps VARCHAR, series VARCHAR)
| How many wins did team Kolles & Heinz union, with f/laps of 0, have in the Formula Three Euroseries? | SELECT wins FROM table_name_16 WHERE f_laps = "0" AND series = "formula three euroseries" AND team = "kolles & heinz union" | SELECT "wins" FROM "table_name_16" WHERE "0" = "f_laps" AND "formula three euroseries" = "series" AND "kolles & heinz union" = "team" | 0.129883 |
CREATE TABLE table_name_95 (kilgore__r_ VARCHAR, potts__i_ VARCHAR)
| What was Kilgore's (R) percentage when Potts (I) polled at 1%? | SELECT kilgore__r_ FROM table_name_95 WHERE potts__i_ = "1%" | SELECT "kilgore__r_" FROM "table_name_95" WHERE "1%" = "potts__i_" | 0.064453 |
CREATE TABLE table_204_416 (id DECIMAL, "chip" TEXT, "flash size" TEXT, "eeprom" DECIMAL, "sram" DECIMAL, "frequency\ [mhz]" DECIMAL, "package" TEXT)
| which chip has the highest frequency ? | SELECT "chip" FROM table_204_416 ORDER BY "frequency\n[mhz]" DESC LIMIT 1 | SELECT "chip" FROM "table_204_416" ORDER BY "frequency\n[mhz]" DESC NULLS LAST LIMIT 1 | 0.083984 |
CREATE TABLE table_49978 ("Rider" TEXT, "Manufacturer" TEXT, "Laps" FLOAT, "Time" TEXT, "Grid" FLOAT)
| What is the total number of Laps, when Ride is Aleix Espargaro? | SELECT COUNT("Laps") FROM table_49978 WHERE "Rider" = 'aleix espargaro' | SELECT COUNT("Laps") FROM "table_49978" WHERE "Rider" = 'aleix espargaro' | 0.071289 |
CREATE TABLE table_25246990_2 (no_in_series VARCHAR, prod_code VARCHAR)
| What number episode in the series had a production code of 111? | SELECT no_in_series FROM table_25246990_2 WHERE prod_code = "111" | SELECT "no_in_series" FROM "table_25246990_2" WHERE "111" = "prod_code" | 0.069336 |
CREATE TABLE ReviewTaskResultTypes (Id DECIMAL, Name TEXT, Description 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 Tags (Id DECIMAL, TagName TEXT, Count DECIMAL, ExcerptPostId DECIMAL, WikiPostId DECIMAL)
CREATE TABLE PostHistoryTypes (Id DECIMAL, Name TEXT)
CREATE TABLE PostTypes (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 CloseReasonTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE ReviewTaskResults (Id DECIMAL, ReviewTaskId DECIMAL, ReviewTaskResultTypeId DECIMAL, CreationDate TIME, RejectionReasonId DECIMAL, Comment TEXT)
CREATE TABLE Badges (Id DECIMAL, UserId DECIMAL, Name TEXT, Date TIME, Class DECIMAL, TagBased BOOLEAN)
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 ReviewTaskTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE Votes (Id DECIMAL, PostId DECIMAL, VoteTypeId DECIMAL, UserId DECIMAL, CreationDate TIME, BountyAmount DECIMAL)
CREATE TABLE ReviewTasks (Id DECIMAL, ReviewTaskTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId DECIMAL, PostId DECIMAL, SuggestedEditId DECIMAL, CompletedByReviewTaskId DECIMAL)
CREATE TABLE ReviewTaskStates (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE PendingFlags (Id DECIMAL, FlagTypeId DECIMAL, PostId DECIMAL, CreationDate TIME, CloseReasonTypeId DECIMAL, CloseAsOffTopicReasonTypeId DECIMAL, DuplicateOfQuestionId DECIMAL, BelongsOnBaseHostAddress TEXT)
CREATE TABLE Comments (Id DECIMAL, PostId DECIMAL, Score DECIMAL, Text TEXT, CreationDate TIME, UserDisplayName TEXT, UserId DECIMAL, 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 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 SuggestedEditVotes (Id DECIMAL, SuggestedEditId DECIMAL, UserId DECIMAL, VoteTypeId DECIMAL, CreationDate TIME, TargetUserId DECIMAL, TargetRepChange DECIMAL)
CREATE TABLE PostNotices (Id DECIMAL, PostId DECIMAL, PostNoticeTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body TEXT, OwnerUserId DECIMAL, DeletionUserId DECIMAL)
CREATE TABLE PostFeedback (Id DECIMAL, PostId DECIMAL, IsAnonymous BOOLEAN, VoteTypeId DECIMAL, CreationDate TIME)
CREATE TABLE VoteTypes (Id DECIMAL, Name TEXT)
CREATE TABLE FlagTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE ReviewRejectionReasons (Id DECIMAL, Name TEXT, Description TEXT, PostTypeId 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 TagSynonyms (Id DECIMAL, SourceTagName TEXT, TargetTagName TEXT, CreationDate TIME, OwnerUserId DECIMAL, AutoRenameCount DECIMAL, LastAutoRename TIME, Score DECIMAL, ApprovedByUserId DECIMAL, ApprovalDate TIME)
CREATE TABLE PostLinks (Id DECIMAL, CreationDate TIME, PostId DECIMAL, RelatedPostId DECIMAL, LinkTypeId DECIMAL)
| number of questions per month. | SELECT CAST(TIME_TO_STR(CreationDate, '%Y-%m-%d %H:%M:%S') AS TEXT(7)) AS date, COUNT(1) AS questions FROM Posts WHERE PostTypeId = 1 GROUP BY CAST(TIME_TO_STR(CreationDate, '%Y-%m-%d %H:%M:%S') AS TEXT(7)) ORDER BY date | SELECT CAST(TO_CHAR(CAST("CreationDate" AS TIMESTAMPNTZ), 'yyyy-mm-DD hh24:mi:ss') AS TEXT(7)) AS "date", COUNT(1) AS "questions" FROM "Posts" WHERE "PostTypeId" = 1 GROUP BY CAST(TO_CHAR(CAST("CreationDate" AS TIMESTAMPNTZ), 'yyyy-mm-DD hh24:mi:ss') AS TEXT(7)) ORDER BY "date" NULLS FIRST | 0.283203 |
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