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CREATE TABLE Subjects (subject_id NUMBER, subject_name VARCHAR2)
CREATE TABLE Students (student_id NUMBER, date_of_registration DATETIME, date_of_latest_logon DATETIME, login_name VARCHAR2, password VARCHAR2, personal_name VARCHAR2, middle_name VARCHAR2, family_name VARCHAR2)
CREATE TABLE Student_Tests_Taken (registration_id NUMBER, date_test_taken DATETIME, test_result VARCHAR2)
CREATE TABLE Student_Course_Enrolment (registration_id NUMBER, student_id NUMBER, course_id NUMBER, date_of_enrolment DATETIME, date_of_completion DATETIME)
CREATE TABLE Courses (course_id NUMBER, author_id NUMBER, subject_id NUMBER, course_name VARCHAR2, course_description VARCHAR2)
CREATE TABLE Course_Authors_and_Tutors (author_id NUMBER, author_tutor_ATB VARCHAR2, login_name VARCHAR2, password VARCHAR2, personal_name VARCHAR2, middle_name VARCHAR2, family_name VARCHAR2, gender_mf VARCHAR2, address_line_1 VARCHAR2)
| Find the number of the dates of the tests taken with result 'Pass', show total number from high to low order. | SELECT date_test_taken, COUNT(date_test_taken) FROM Student_Tests_Taken WHERE test_result = "Pass" GROUP BY date_test_taken ORDER BY COUNT(date_test_taken) DESC | SELECT "date_test_taken", COUNT("date_test_taken") FROM "Student_Tests_Taken" WHERE "Pass" = "test_result" GROUP BY "date_test_taken" ORDER BY COUNT("date_test_taken") DESC | 0.167969 |
CREATE TABLE countries (COUNTRY_ID VARCHAR2, COUNTRY_NAME VARCHAR2, REGION_ID NUMBER)
CREATE TABLE locations (LOCATION_ID NUMBER, STREET_ADDRESS VARCHAR2, POSTAL_CODE VARCHAR2, CITY VARCHAR2, STATE_PROVINCE VARCHAR2, COUNTRY_ID VARCHAR2)
CREATE TABLE departments (DEPARTMENT_ID NUMBER, DEPARTMENT_NAME VARCHAR2, MANAGER_ID NUMBER, LOCATION_ID NUMBER)
CREATE TABLE employees (EMPLOYEE_ID NUMBER, FIRST_NAME VARCHAR2, LAST_NAME VARCHAR2, EMAIL VARCHAR2, PHONE_NUMBER VARCHAR2, HIRE_DATE DATE, JOB_ID VARCHAR2, SALARY NUMBER, COMMISSION_PCT NUMBER, MANAGER_ID NUMBER, DEPARTMENT_ID NUMBER)
CREATE TABLE job_history (EMPLOYEE_ID NUMBER, START_DATE DATE, END_DATE DATE, JOB_ID VARCHAR2, DEPARTMENT_ID NUMBER)
CREATE TABLE regions (REGION_ID NUMBER, REGION_NAME VARCHAR2)
CREATE TABLE jobs (JOB_ID VARCHAR2, JOB_TITLE VARCHAR2, MIN_SALARY NUMBER, MAX_SALARY NUMBER)
| For those employees who do not work in departments with managers that have ids between 100 and 200, what is the relationship between employee_id and manager_id ? | SELECT EMPLOYEE_ID, MANAGER_ID FROM employees WHERE NOT DEPARTMENT_ID IN (SELECT DEPARTMENT_ID FROM departments WHERE MANAGER_ID BETWEEN 100 AND 200) | SELECT "EMPLOYEE_ID", "MANAGER_ID" FROM "employees" WHERE NOT "DEPARTMENT_ID" IN (SELECT "DEPARTMENT_ID" FROM "departments" WHERE "MANAGER_ID" <= 200 AND "MANAGER_ID" >= 100) | 0.169922 |
CREATE TABLE table_71573 ("Date" CLOB, "Tournament" CLOB, "Surface" CLOB, "Opponent" CLOB, "Score" CLOB)
| When was the tournament of bologna? | SELECT "Date" FROM table_71573 WHERE "Tournament" = 'bologna' | SELECT "Date" FROM "table_71573" WHERE "Tournament" = 'bologna' | 0.061523 |
CREATE TABLE table_203_158 (id NUMBER, "date" CLOB, "time" CLOB, "opponent#" CLOB, "rank#" CLOB, "site" CLOB, "tv" CLOB, "result" CLOB, "attendance" NUMBER)
| which game did the opponent score only 7 points ? | SELECT "date" FROM table_203_158 WHERE "result" = 7 | SELECT "date" FROM "table_203_158" WHERE "result" = 7 | 0.051758 |
CREATE TABLE table_name_90 (date VARCHAR2, sport VARCHAR2, record VARCHAR2)
| What is the Date, when the Sport is luge - men's doubles, and when the Record is, 'start'? | SELECT date FROM table_name_90 WHERE sport = "luge - men's doubles" AND record = "start" | SELECT "date" FROM "table_name_90" WHERE "luge - men's doubles" = "sport" AND "record" = "start" | 0.09375 |
CREATE TABLE job_history (EMPLOYEE_ID NUMBER, START_DATE DATE, END_DATE DATE, JOB_ID VARCHAR2, DEPARTMENT_ID NUMBER)
CREATE TABLE jobs (JOB_ID VARCHAR2, JOB_TITLE VARCHAR2, MIN_SALARY NUMBER, MAX_SALARY NUMBER)
CREATE TABLE regions (REGION_ID NUMBER, REGION_NAME VARCHAR2)
CREATE TABLE employees (EMPLOYEE_ID NUMBER, FIRST_NAME VARCHAR2, LAST_NAME VARCHAR2, EMAIL VARCHAR2, PHONE_NUMBER VARCHAR2, HIRE_DATE DATE, JOB_ID VARCHAR2, SALARY NUMBER, COMMISSION_PCT NUMBER, MANAGER_ID NUMBER, DEPARTMENT_ID NUMBER)
CREATE TABLE countries (COUNTRY_ID VARCHAR2, COUNTRY_NAME VARCHAR2, REGION_ID NUMBER)
CREATE TABLE locations (LOCATION_ID NUMBER, STREET_ADDRESS VARCHAR2, POSTAL_CODE VARCHAR2, CITY VARCHAR2, STATE_PROVINCE VARCHAR2, COUNTRY_ID VARCHAR2)
CREATE TABLE departments (DEPARTMENT_ID NUMBER, DEPARTMENT_NAME VARCHAR2, MANAGER_ID NUMBER, LOCATION_ID NUMBER)
| For all employees who have the letters D or S in their first name, return a bar chart about the distribution of job_id and the average of employee_id , and group by attribute job_id, and rank in asc by the y-axis. | SELECT JOB_ID, AVG(EMPLOYEE_ID) FROM employees WHERE FIRST_NAME LIKE '%D%' OR FIRST_NAME LIKE '%S%' GROUP BY JOB_ID ORDER BY AVG(EMPLOYEE_ID) | SELECT "JOB_ID", AVG("EMPLOYEE_ID") FROM "employees" WHERE "FIRST_NAME" LIKE '%D%' OR "FIRST_NAME" LIKE '%S%' GROUP BY "JOB_ID" ORDER BY AVG("EMPLOYEE_ID") | 0.151367 |
CREATE TABLE table_27848 ("Urban settlement" CLOB, "Cyrillic Name" CLOB, "City / municipality" CLOB, "District" CLOB, "Population ( 1991 ) " FLOAT, "Population ( 2002 ) " FLOAT, "Population ( 2011 ) " FLOAT)
| What is the number of 1991 populations named Be ej? | SELECT COUNT("Population (1991)") FROM table_27848 WHERE "City / municipality" = 'Bečej' | SELECT COUNT("Population (1991)") FROM "table_27848" WHERE "City / municipality" = 'Bečej' | 0.087891 |
CREATE TABLE table_test_14 ("id" NUMBER, "bleeding" NUMBER, "intra_aortic_balloon_pump_iabp" BOOLEAN, "systolic_blood_pressure_sbp" NUMBER, "haemoglobin" FLOAT, "severe_hypertension" BOOLEAN, "platelets" NUMBER, "neutrophil_count" NUMBER, "renal_disease" BOOLEAN, "severe_thrombocytopenia" BOOLEAN, "fasting_blood_glucose_fbg" FLOAT, "creatinine_clearance_cl" FLOAT, "neutropenia" NUMBER, "estimated_glomerular_filtration_rate_egfr" NUMBER, "cardiogenic_shock" BOOLEAN, "platelet_count" FLOAT, "iv_pressors" BOOLEAN, "hemodynamic_instability" BOOLEAN, "diastolic_blood_pressure_dbp" NUMBER, "cr" NUMBER, "low_density_lipoprotein_ldl_cholesterol" NUMBER, "NOUSE" FLOAT)
| haemoglobin < 11.5 g / dl | SELECT * FROM table_test_14 WHERE haemoglobin < 11.5 | SELECT * FROM "table_test_14" WHERE "haemoglobin" < 11.5 | 0.054688 |
CREATE TABLE table_14775 ("Year" CLOB, "Place" CLOB, "Event" CLOB, "Pos." CLOB, "Pts." CLOB)
| What is the pts for 2004, and the ro event? | SELECT "Pts." FROM table_14775 WHERE "Year" = '2004' AND "Event" = 'ro' | SELECT "Pts." FROM "table_14775" WHERE "Event" = 'ro' AND "Year" = '2004' | 0.071289 |
CREATE TABLE table_203_398 (id NUMBER, "year" NUMBER, "vidhan sabha" CLOB, "members of legislative assembly" CLOB, "winning party" CLOB, "nearest contesting party" CLOB)
| who has been elected more often , shri tej bhadur or shri anish ahemd khan ? | SELECT "members of legislative assembly" FROM table_203_398 WHERE "members of legislative assembly" IN ('shri tej bhahdur', 'shri anish ahemd khan') GROUP BY "members of legislative assembly" ORDER BY COUNT(*) DESC LIMIT 1 | SELECT "members of legislative assembly" FROM "table_203_398" WHERE "members of legislative assembly" IN ('shri tej bhahdur', 'shri anish ahemd khan') GROUP BY "members of legislative assembly" ORDER BY COUNT(*) DESC FETCH FIRST 1 ROWS ONLY | 0.234375 |
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
| how many patients whose diagnoses short title is dysphagia nec and lab test category is blood gas? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE diagnoses.short_title = "Dysphagia NEC" AND lab."CATEGORY" = "Blood Gas" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "Dysphagia NEC" = "diagnoses"."short_title" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" JOIN "lab" ON "Blood Gas" = "lab"."CATEGORY" AND "demographic"."hadm_id" = "lab"."hadm_id" | 0.268555 |
CREATE TABLE residents (resident_id NUMBER, property_id NUMBER, date_moved_in TIME, date_moved_out TIME, other_details CLOB)
CREATE TABLE organizations (organization_id NUMBER, parent_organization_id NUMBER, organization_details CLOB)
CREATE TABLE customers (customer_id NUMBER, customer_details CLOB)
CREATE TABLE customer_event_notes (customer_event_note_id NUMBER, customer_event_id NUMBER, service_type_code CLOB, resident_id NUMBER, property_id NUMBER, date_moved_in TIME)
CREATE TABLE things (thing_id NUMBER, organization_id NUMBER, type_of_thing_code CLOB, service_type_code CLOB, service_details CLOB)
CREATE TABLE residents_services (resident_id NUMBER, service_id NUMBER, date_moved_in TIME, property_id NUMBER, date_requested TIME, date_provided TIME, other_details CLOB)
CREATE TABLE timed_locations_of_things (thing_id NUMBER, date_and_time TIME, location_code CLOB)
CREATE TABLE services (service_id NUMBER, organization_id NUMBER, service_type_code CLOB, service_details CLOB)
CREATE TABLE properties (property_id NUMBER, property_type_code CLOB, property_address CLOB, other_details CLOB)
CREATE TABLE timed_status_of_things (thing_id NUMBER, date_and_date TIME, status_of_thing_code CLOB)
CREATE TABLE customer_events (customer_event_id NUMBER, customer_id NUMBER, date_moved_in TIME, property_id NUMBER, resident_id NUMBER, thing_id NUMBER)
| What are the distinct move in dates of the residents? | SELECT DISTINCT date_moved_in FROM residents | SELECT DISTINCT "date_moved_in" FROM "residents" | 0.046875 |
CREATE TABLE table_35148 ("Tournament" CLOB, "1998" CLOB, "2000" CLOB, "2001" CLOB, "2002" CLOB, "2003" CLOB, "2004" CLOB, "2005" CLOB, "2006" CLOB, "2007" CLOB, "2008" CLOB, "2009" CLOB, "2010" CLOB, "2011" CLOB, "2012" CLOB, "Career SR" CLOB, "Career Win-Loss" CLOB)
| Which 1998 has a 2002 of 2 4? | SELECT "1998" FROM table_35148 WHERE "2002" = '2–4' | SELECT "1998" FROM "table_35148" WHERE "2002" = '2–4' | 0.051758 |
CREATE TABLE table_28047 ("Series no." FLOAT, "No. in season" FLOAT, "Title" CLOB, "Written by" CLOB, "Directed by" CLOB, "Original air date" CLOB)
| How many people directed the episode that Joe Toplyn wrote? | SELECT COUNT("Directed by") FROM table_28047 WHERE "Written by" = 'Joe Toplyn' | SELECT COUNT("Directed by") FROM "table_28047" WHERE "Written by" = 'Joe Toplyn' | 0.078125 |
CREATE TABLE table_33283 ("Home team" CLOB, "Home team score" CLOB, "Away team" CLOB, "Away team score" CLOB, "Venue" CLOB, "Crowd" FLOAT, "Date" CLOB)
| Where did Geelong play as the away team? | SELECT "Venue" FROM table_33283 WHERE "Away team" = 'geelong' | SELECT "Venue" FROM "table_33283" WHERE "Away team" = 'geelong' | 0.061523 |
CREATE TABLE table_56357 ("Date" CLOB, "Visitor" CLOB, "Score" CLOB, "Home" CLOB, "Decision" CLOB, "Attendance" FLOAT)
| What is the attendance at the Dallas home game on may 12? | SELECT COUNT("Attendance") FROM table_56357 WHERE "Home" = 'dallas' AND "Date" = 'may 12' | SELECT COUNT("Attendance") FROM "table_56357" WHERE "Date" = 'may 12' AND "Home" = 'dallas' | 0.088867 |
CREATE TABLE table_2190919_3 (avg_start VARCHAR2, avg_finish VARCHAR2)
| With an average finish of 29.0, what was the average start? | SELECT avg_start FROM table_2190919_3 WHERE avg_finish = "29.0" | SELECT "avg_start" FROM "table_2190919_3" WHERE "29.0" = "avg_finish" | 0.067383 |
CREATE TABLE table_name_60 (season VARCHAR2, west VARCHAR2)
| Which season had EV Bad W rishofen in the West? | SELECT season FROM table_name_60 WHERE west = "ev bad wörishofen" | SELECT "season" FROM "table_name_60" WHERE "ev bad wörishofen" = "west" | 0.069336 |
CREATE TABLE table_name_11 (debut VARCHAR2, position VARCHAR2, name VARCHAR2)
| What round was the debut of defender Stephen Laybutt? | SELECT debut FROM table_name_11 WHERE position = "defender" AND name = "stephen laybutt" | SELECT "debut" FROM "table_name_11" WHERE "defender" = "position" AND "name" = "stephen laybutt" | 0.09375 |
CREATE TABLE table_55999 ("Home team" CLOB, "Home team score" CLOB, "Away team" CLOB, "Away team score" CLOB, "Venue" CLOB, "Crowd" FLOAT, "Date" CLOB)
| What was the away team score when the home team scored 8.14 (62)? | SELECT "Away team score" FROM table_55999 WHERE "Home team score" = '8.14 (62)' | SELECT "Away team score" FROM "table_55999" WHERE "Home team score" = '8.14 (62)' | 0.079102 |
CREATE TABLE table_9697 ("Scorer" CLOB, "Club" CLOB, "League goals" CLOB, "FA Cup goals" FLOAT, "League Cup goals" FLOAT, "Total" FLOAT)
| Which League Cup goals have a Scorer of ken houghton, and an FA Cup goals smaller than 0? | SELECT MAX("League Cup goals") FROM table_9697 WHERE "Scorer" = 'ken houghton' AND "FA Cup goals" < '0' | SELECT MAX("League Cup goals") FROM "table_9697" WHERE "FA Cup goals" < '0' AND "Scorer" = 'ken houghton' | 0.102539 |
CREATE TABLE inst (Id VARCHAR2)
| How many institutions are there? | SELECT COUNT(*) FROM inst | SELECT COUNT(*) FROM "inst" | 0.026367 |
CREATE TABLE d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
CREATE TABLE chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
CREATE TABLE d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
CREATE TABLE patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
CREATE TABLE outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
CREATE TABLE diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE prescriptions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, startdate TIME, enddate TIME, drug CLOB, dose_val_rx CLOB, dose_unit_rx CLOB, route CLOB)
CREATE TABLE transfers (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, eventtype CLOB, careunit CLOB, wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE admissions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, admittime TIME, dischtime TIME, admission_type CLOB, admission_location CLOB, discharge_location CLOB, insurance CLOB, language CLOB, marital_status CLOB, ethnicity CLOB, age NUMBER)
CREATE TABLE procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
CREATE TABLE icustays (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, first_careunit CLOB, last_careunit CLOB, first_wardid NUMBER, last_wardid NUMBER, intime TIME, outtime TIME)
| what is the average hospital cost that would involve a creatinine, pleural lab test in 2104? | SELECT AVG(t1.c1) FROM (SELECT SUM(cost.cost) AS c1 FROM cost WHERE cost.hadm_id IN (SELECT labevents.hadm_id FROM labevents WHERE labevents.itemid IN (SELECT d_labitems.itemid FROM d_labitems WHERE d_labitems.label = 'creatinine, pleural')) AND STRFTIME('%y', cost.chargetime) = '2104' GROUP BY cost.hadm_id) AS t1 | WITH "_u_0" AS (SELECT "d_labitems"."itemid" FROM "d_labitems" WHERE "d_labitems"."label" = 'creatinine, pleural' GROUP BY "itemid"), "_u_1" AS (SELECT "labevents"."hadm_id" FROM "labevents" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "labevents"."itemid" WHERE NOT "_u_0"."" IS NULL GROUP BY "hadm_id"), "t1" AS (SELECT SUM("cost"."cost") AS "c1" FROM "cost" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "cost"."hadm_id" WHERE NOT "_u_1"."" IS NULL AND STRFTIME('%y', "cost"."chargetime") = '2104' GROUP BY "cost"."hadm_id") SELECT AVG("t1"."c1") FROM "t1" "t1" | 0.538086 |
CREATE TABLE table_74955 ("Date" CLOB, "Visitor" CLOB, "Score" CLOB, "Home" CLOB, "Record" CLOB)
| What record has detroit as the home and mtl. maroons as the visitor? | SELECT "Record" FROM table_74955 WHERE "Home" = 'detroit' AND "Visitor" = 'mtl. maroons' | SELECT "Record" FROM "table_74955" WHERE "Home" = 'detroit' AND "Visitor" = 'mtl. maroons' | 0.087891 |
CREATE TABLE table_41143 ("Date" CLOB, "Rocket" CLOB, "Type" CLOB, "Launch site" CLOB, "Satellite" CLOB)
| What is the launch site of the delta iv rocket? | SELECT "Launch site" FROM table_41143 WHERE "Rocket" = 'delta iv' | SELECT "Launch site" FROM "table_41143" WHERE "Rocket" = 'delta iv' | 0.06543 |
CREATE TABLE table_25984 ("Player" CLOB, "Games Played" FLOAT, "Minutes" FLOAT, "Field Goals" FLOAT, "Three Pointers" FLOAT, "Free Throws" FLOAT, "Rebounds" FLOAT, "Assists" FLOAT, "Blocks" FLOAT, "Steals" FLOAT, "Points" FLOAT)
| If the amount of rebounds is 0, what is the maximum minutes? | SELECT MAX("Minutes") FROM table_25984 WHERE "Rebounds" = '0' | SELECT MAX("Minutes") FROM "table_25984" WHERE "Rebounds" = '0' | 0.061523 |
CREATE TABLE table_11075747_4 (directed_by VARCHAR2, episode__number VARCHAR2)
| Who directed Episode 8? | SELECT directed_by FROM table_11075747_4 WHERE episode__number = 8 | SELECT "directed_by" FROM "table_11075747_4" WHERE "episode__number" = 8 | 0.070313 |
CREATE TABLE university (School_ID NUMBER, School CLOB, Location CLOB, Founded FLOAT, Affiliation CLOB, Enrollment FLOAT, Nickname CLOB, Primary_conference CLOB)
CREATE TABLE basketball_match (Team_ID NUMBER, School_ID NUMBER, Team_Name CLOB, ACC_Regular_Season CLOB, ACC_Percent CLOB, ACC_Home CLOB, ACC_Road CLOB, All_Games CLOB, All_Games_Percent NUMBER, All_Home CLOB, All_Road CLOB, All_Neutral CLOB)
| Create a bar chart showing school_id across all neutral | SELECT All_Neutral, School_ID FROM basketball_match | SELECT "All_Neutral", "School_ID" FROM "basketball_match" | 0.055664 |
CREATE TABLE table_44989 ("Week" FLOAT, "Date" CLOB, "Opponent" CLOB, "Result" CLOB, "Record" CLOB, "Attendance" FLOAT)
| Which Week has a Record of 2-9? | SELECT MIN("Week") FROM table_44989 WHERE "Record" = '2-9' | SELECT MIN("Week") FROM "table_44989" WHERE "Record" = '2-9' | 0.058594 |
CREATE TABLE table_30475 ("Club" CLOB, "Location" CLOB, "Home Venue" CLOB, "Capacity" CLOB, "Founded" FLOAT, "Years Active" CLOB)
| How long has the team who owns North Shore Events Centre Vector Arena been active? | SELECT "Years Active" FROM table_30475 WHERE "Home Venue" = 'North Shore Events Centre Vector Arena' | SELECT "Years Active" FROM "table_30475" WHERE "Home Venue" = 'North Shore Events Centre Vector Arena' | 0.099609 |
CREATE TABLE table_9568 ("Res." CLOB, "Record" CLOB, "Opponent" CLOB, "Method" CLOB, "Event" CLOB, "Round" FLOAT, "Location" CLOB)
| How many rounds was the fight at UFC 34? | SELECT SUM("Round") FROM table_9568 WHERE "Event" = 'ufc 34' | SELECT SUM("Round") FROM "table_9568" WHERE "Event" = 'ufc 34' | 0.060547 |
CREATE TABLE table_name_44 (pick NUMBER, college VARCHAR2)
| Who was the highest drafted player that attended college at Virginia? | SELECT MAX(pick) FROM table_name_44 WHERE college = "virginia" | SELECT MAX("pick") FROM "table_name_44" WHERE "college" = "virginia" | 0.066406 |
CREATE TABLE table_name_6 (tournament VARCHAR2, date VARCHAR2)
| Which Tournament has a Date of 22 january 1979? | SELECT tournament FROM table_name_6 WHERE date = "22 january 1979" | SELECT "tournament" FROM "table_name_6" WHERE "22 january 1979" = "date" | 0.070313 |
CREATE TABLE institution (institution_id VARCHAR2, founded VARCHAR2, type VARCHAR2)
CREATE TABLE protein (institution_id VARCHAR2)
| How many proteins are associated with an institution founded after 1880 or an institution with type 'Private'? | SELECT COUNT(*) FROM institution AS T1 JOIN protein AS T2 ON T1.institution_id = T2.institution_id WHERE T1.founded > 1880 OR T1.type = 'Private' | SELECT COUNT(*) FROM "institution" "T1" JOIN "protein" "T2" ON "T1"."institution_id" = "T2"."institution_id" WHERE "T1"."founded" > 1880 OR "T1"."type" = 'Private' | 0.15918 |
CREATE TABLE table_15081 ("category" CLOB, "1999" CLOB, "2000" CLOB, "2001" CLOB, "2004" CLOB)
| What car was awarded sub 1 litre in 2000? | SELECT "2000" FROM table_15081 WHERE "category" = 'sub 1 litre' | SELECT "2000" FROM "table_15081" WHERE "category" = 'sub 1 litre' | 0.063477 |
CREATE TABLE table_14695 ("Name" CLOB, "Years" CLOB, "Area" CLOB, "Authority" CLOB, "Decile" FLOAT, "Roll" FLOAT)
| What is the roll for the school with state authority and a decile of 9? | SELECT "Roll" FROM table_14695 WHERE "Authority" = 'state' AND "Decile" = '9' | SELECT "Roll" FROM "table_14695" WHERE "Authority" = 'state' AND "Decile" = '9' | 0.077148 |
CREATE TABLE table_204_847 (id NUMBER, "#" NUMBER, "name" CLOB, "position" CLOB, "birthday" CLOB, "size" CLOB, "weight" CLOB, "last team" CLOB)
| does theodis or david play center ? | SELECT "name" FROM table_204_847 WHERE "name" IN ('theodis tarver', 'david watson') AND "position" = 'center' | SELECT "name" FROM "table_204_847" WHERE "name" IN ('theodis tarver', 'david watson') AND "position" = 'center' | 0.108398 |
CREATE TABLE table_name_76 (total NUMBER, player VARCHAR2)
| Name the Total of jeff sluman? | SELECT AVG(total) FROM table_name_76 WHERE player = "jeff sluman" | SELECT AVG("total") FROM "table_name_76" WHERE "jeff sluman" = "player" | 0.069336 |
CREATE TABLE table_59041 ("Week" FLOAT, "Date" CLOB, "Opponent" CLOB, "Result" CLOB, "Game site" CLOB, "Record" CLOB, "Attendance" CLOB)
| What Date was the Game at Griffith Stadium? | SELECT "Date" FROM table_59041 WHERE "Game site" = 'griffith stadium' | SELECT "Date" FROM "table_59041" WHERE "Game site" = 'griffith stadium' | 0.069336 |
CREATE TABLE table_204_782 (id NUMBER, "state" CLOB, "title" CLOB, "name" CLOB, "entered office" CLOB)
| sir stanley robinson and sir theodore brancker both served for which state ? | SELECT "state" FROM table_204_782 WHERE "name" = 'sir stanley robinson' | SELECT "state" FROM "table_204_782" WHERE "name" = 'sir stanley robinson' | 0.071289 |
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
| among patients tested for blood gas, how many of them had received drug code enox80i? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE prescriptions.formulary_drug_cd = "ENOX80I" AND lab."CATEGORY" = "Blood Gas" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "lab" ON "Blood Gas" = "lab"."CATEGORY" AND "demographic"."hadm_id" = "lab"."hadm_id" JOIN "prescriptions" ON "ENOX80I" = "prescriptions"."formulary_drug_cd" AND "demographic"."hadm_id" = "prescriptions"."hadm_id" | 0.280273 |
CREATE TABLE table_1601935_1 (viewers__in_millions_ VARCHAR2, run_time VARCHAR2)
| How many millions of viewers were there for the episode with a run time of 18:00? | SELECT viewers__in_millions_ FROM table_1601935_1 WHERE run_time = "18:00" | SELECT "viewers__in_millions_" FROM "table_1601935_1" WHERE "18:00" = "run_time" | 0.078125 |
CREATE TABLE behavior_incident (incident_id NUMBER, incident_type_code CLOB, student_id NUMBER, date_incident_start TIME, date_incident_end TIME, incident_summary CLOB, recommendations CLOB, other_details CLOB)
CREATE TABLE ref_detention_type (detention_type_code CLOB, detention_type_description CLOB)
CREATE TABLE students_in_detention (student_id NUMBER, detention_id NUMBER, incident_id NUMBER)
CREATE TABLE student_addresses (student_id NUMBER, address_id NUMBER, date_address_from TIME, date_address_to TIME, monthly_rental NUMBER, other_details CLOB)
CREATE TABLE ref_address_types (address_type_code CLOB, address_type_description CLOB)
CREATE TABLE teachers (teacher_id NUMBER, address_id NUMBER, first_name CLOB, middle_name CLOB, last_name CLOB, gender CLOB, cell_mobile_number CLOB, email_address CLOB, other_details CLOB)
CREATE TABLE assessment_notes (notes_id NUMBER, student_id NUMBER, teacher_id NUMBER, date_of_notes TIME, text_of_notes CLOB, other_details CLOB)
CREATE TABLE ref_incident_type (incident_type_code CLOB, incident_type_description CLOB)
CREATE TABLE addresses (address_id NUMBER, line_1 CLOB, line_2 CLOB, line_3 CLOB, city CLOB, zip_postcode CLOB, state_province_county CLOB, country CLOB, other_address_details CLOB)
CREATE TABLE detention (detention_id NUMBER, detention_type_code CLOB, teacher_id NUMBER, datetime_detention_start TIME, datetime_detention_end TIME, detention_summary CLOB, other_details CLOB)
CREATE TABLE students (student_id NUMBER, address_id NUMBER, first_name CLOB, middle_name CLOB, last_name CLOB, cell_mobile_number CLOB, email_address CLOB, date_first_rental TIME, date_left_university TIME, other_student_details CLOB)
| Return all distinct detention type codes. | SELECT DISTINCT detention_type_code FROM detention | SELECT DISTINCT "detention_type_code" FROM "detention" | 0.052734 |
CREATE TABLE table_19336 ("Rank" FLOAT, "Name" CLOB, "Nationality" CLOB, "1st ( m ) " CLOB, "2nd ( m ) " CLOB, "Points" CLOB, "Overall WC points ( Rank ) " CLOB)
| What was the length of the jumper representing FIN, in meters? | SELECT "1st (m)" FROM table_19336 WHERE "Nationality" = 'FIN' | SELECT "1st (m)" FROM "table_19336" WHERE "Nationality" = 'FIN' | 0.061523 |
CREATE TABLE table_name_5 (lost NUMBER, games NUMBER)
| How many lost are there before game 7? | SELECT SUM(lost) FROM table_name_5 WHERE games < 7 | SELECT SUM("lost") FROM "table_name_5" WHERE "games" < 7 | 0.054688 |
CREATE TABLE table_name_59 (catalog VARCHAR2, region VARCHAR2)
| What is the Catalog Number is for the Japan region? | SELECT catalog FROM table_name_59 WHERE region = "japan" | SELECT "catalog" FROM "table_name_59" WHERE "japan" = "region" | 0.060547 |
CREATE TABLE table_51037 ("Date" CLOB, "Series" CLOB, "Circuit" CLOB, "City / State" CLOB, "Winner" CLOB, "Team" CLOB)
| What is the city/state of the circuit where Russell Ingall Larry Perkins was the winner? | SELECT "City / State" FROM table_51037 WHERE "Winner" = 'russell ingall larry perkins' | SELECT "City / State" FROM "table_51037" WHERE "Winner" = 'russell ingall larry perkins' | 0.085938 |
CREATE TABLE Products (Code NUMBER, Name VARCHAR2, Price NUMBER, Manufacturer NUMBER)
CREATE TABLE Manufacturers (Code NUMBER, Name VARCHAR2, Headquarter VARCHAR2, Founder VARCHAR2, Revenue FLOAT)
| For those records from the products and each product's manufacturer, show me about the correlation between code and code in a scatter chart. | SELECT T1.Code, T1.Code FROM Products AS T1 JOIN Manufacturers AS T2 ON T1.Manufacturer = T2.Code | SELECT "T1"."Code", "T1"."Code" FROM "Products" "T1" JOIN "Manufacturers" "T2" ON "T1"."Manufacturer" = "T2"."Code" | 0.112305 |
CREATE TABLE table_4579 ("Home team" CLOB, "Home team score" CLOB, "Away team" CLOB, "Away team score" CLOB, "Venue" CLOB, "Crowd" FLOAT, "Date" CLOB)
| Which home team had a score of 9.11 (65) against the away team score of 10.11 (71)? | SELECT "Home team" FROM table_4579 WHERE "Away team score" = '10.11 (71)' AND "Home team score" = '9.11 (65)' | SELECT "Home team" FROM "table_4579" WHERE "Away team score" = '10.11 (71)' AND "Home team score" = '9.11 (65)' | 0.108398 |
CREATE TABLE table_43070 ("Year" FLOAT, "Drivers" CLOB, "Races" FLOAT, "Wins" FLOAT, "Poles" FLOAT, "F.L." FLOAT, "Points" FLOAT, "D.C." CLOB, "T.C." CLOB)
| Which T.C. has a Year larger than 2007, and a D.C. of 21st? | SELECT "T.C." FROM table_43070 WHERE "Year" > '2007' AND "D.C." = '21st' | SELECT "T.C." FROM "table_43070" WHERE "D.C." = '21st' AND "Year" > '2007' | 0.072266 |
CREATE TABLE aircraft (aid NUMBER, name CLOB, distance NUMBER)
CREATE TABLE employee (eid NUMBER, name CLOB, salary NUMBER)
CREATE TABLE flight (flno NUMBER, origin CLOB, destination CLOB, distance NUMBER, departure_date TIME, arrival_date TIME, price NUMBER, aid NUMBER)
CREATE TABLE certificate (eid NUMBER, aid NUMBER)
| What is the id and salary of the employee named Mark Young? | SELECT eid, salary FROM employee WHERE name = 'Mark Young' | SELECT "eid", "salary" FROM "employee" WHERE "name" = 'Mark Young' | 0.064453 |
CREATE TABLE table_name_98 (mean NUMBER, drug VARCHAR2, psychological_dependence VARCHAR2)
| What is the average Mean, when Drug is 'Alcohol', and when Psychological Dependence is greater than 1.9? | SELECT AVG(mean) FROM table_name_98 WHERE drug = "alcohol" AND psychological_dependence > 1.9 | SELECT AVG("mean") FROM "table_name_98" WHERE "alcohol" = "drug" AND "psychological_dependence" > 1.9 | 0.098633 |
CREATE TABLE Catalogs (catalog_id NUMBER, catalog_name VARCHAR2, catalog_publisher VARCHAR2, date_of_publication DATETIME, date_of_latest_revision DATETIME)
CREATE TABLE Attribute_Definitions (attribute_id NUMBER, attribute_name VARCHAR2, attribute_data_type VARCHAR2)
CREATE TABLE Catalog_Contents_Additional_Attributes (catalog_entry_id NUMBER, catalog_level_number NUMBER, attribute_id NUMBER, attribute_value VARCHAR2)
CREATE TABLE Catalog_Structure (catalog_level_number NUMBER, catalog_id NUMBER, catalog_level_name VARCHAR2)
CREATE TABLE Catalog_Contents (catalog_entry_id NUMBER, catalog_level_number NUMBER, parent_entry_id NUMBER, previous_entry_id NUMBER, next_entry_id NUMBER, catalog_entry_name VARCHAR2, product_stock_number VARCHAR2, price_in_dollars DOUBLE PRECISION, price_in_euros DOUBLE PRECISION, price_in_pounds DOUBLE PRECISION, capacity VARCHAR2, length VARCHAR2, height VARCHAR2, width VARCHAR2)
| Give me a histogram for what are the name and level of catalog structure with level number between 5 and 10, could you order X-axis from low to high order? | SELECT catalog_level_name, catalog_level_number FROM Catalog_Structure WHERE catalog_level_number BETWEEN 5 AND 10 ORDER BY catalog_level_name | SELECT "catalog_level_name", "catalog_level_number" FROM "Catalog_Structure" WHERE "catalog_level_number" <= 10 AND "catalog_level_number" >= 5 ORDER BY "catalog_level_name" | 0.168945 |
CREATE TABLE head (name VARCHAR2, born_state VARCHAR2, age VARCHAR2)
| List the name, born state and age of the heads of departments ordered by age. | SELECT name, born_state, age FROM head ORDER BY age | SELECT "name", "born_state", "age" FROM "head" ORDER BY "age" | 0.05957 |
CREATE TABLE table_1341395_36 (party VARCHAR2, incumbent VARCHAR2)
| Incumbent Deborah Pryce was a member of what party? | SELECT party FROM table_1341395_36 WHERE incumbent = "Deborah Pryce" | SELECT "party" FROM "table_1341395_36" WHERE "Deborah Pryce" = "incumbent" | 0.072266 |
CREATE TABLE table_10997 ("Stadium" CLOB, "Capacity" CLOB, "City" CLOB, "Province" CLOB, "Expected Completion" CLOB)
| Which city expects their project completion in 2017? | SELECT "City" FROM table_10997 WHERE "Expected Completion" = '2017' | SELECT "City" FROM "table_10997" WHERE "Expected Completion" = '2017' | 0.067383 |
CREATE TABLE weather (date CLOB, max_temperature_f NUMBER, mean_temperature_f NUMBER, min_temperature_f NUMBER, max_dew_point_f NUMBER, mean_dew_point_f NUMBER, min_dew_point_f NUMBER, max_humidity NUMBER, mean_humidity NUMBER, min_humidity NUMBER, max_sea_level_pressure_inches NUMBER, mean_sea_level_pressure_inches NUMBER, min_sea_level_pressure_inches NUMBER, max_visibility_miles NUMBER, mean_visibility_miles NUMBER, min_visibility_miles NUMBER, max_wind_Speed_mph NUMBER, mean_wind_speed_mph NUMBER, max_gust_speed_mph NUMBER, precipitation_inches NUMBER, cloud_cover NUMBER, events CLOB, wind_dir_degrees NUMBER, zip_code NUMBER)
CREATE TABLE station (id NUMBER, name CLOB, lat NUMBER, long NUMBER, dock_count NUMBER, city CLOB, installation_date CLOB)
CREATE TABLE status (station_id NUMBER, bikes_available NUMBER, docks_available NUMBER, time CLOB)
CREATE TABLE trip (id NUMBER, duration NUMBER, start_date CLOB, start_station_name CLOB, start_station_id NUMBER, end_date CLOB, end_station_name CLOB, end_station_id NUMBER, bike_id NUMBER, subscription_type CLOB, zip_code NUMBER)
| What is the total cloud cover rates of the dates (bin into day of the week interval) that had the top 5 cloud cover rates? You can show me a bar chart, could you show Y-axis in desc order? | SELECT date, SUM(cloud_cover) FROM weather ORDER BY SUM(cloud_cover) DESC | SELECT "date", SUM("cloud_cover") FROM "weather" ORDER BY SUM("cloud_cover") DESC | 0.079102 |
CREATE TABLE table_name_30 (college VARCHAR2, player VARCHAR2)
| What college did hunter henry go to? | SELECT college FROM table_name_30 WHERE player = "hunter henry" | SELECT "college" FROM "table_name_30" WHERE "hunter henry" = "player" | 0.067383 |
CREATE TABLE table_42306 ("Name" CLOB, "Position" CLOB, "Number" FLOAT, "School/Club Team" CLOB, "Season" FLOAT, "Acquisition via" CLOB)
| What season did the player who had the number 26 play on who came from far eastern? | SELECT "Season" FROM table_42306 WHERE "School/Club Team" = 'far eastern' AND "Number" = '26' | SELECT "Season" FROM "table_42306" WHERE "Number" = '26' AND "School/Club Team" = 'far eastern' | 0.092773 |
CREATE TABLE table_1342013_9 (incumbent VARCHAR2, district VARCHAR2)
| who is the the incumbent with dbeingtrict being florida 2 | SELECT incumbent FROM table_1342013_9 WHERE district = "Florida 2" | SELECT "incumbent" FROM "table_1342013_9" WHERE "Florida 2" = "district" | 0.070313 |
CREATE TABLE table_11589522_3 (title VARCHAR2, original_air_date VARCHAR2)
| what's the title where original air date is january18,2009 | SELECT title FROM table_11589522_3 WHERE original_air_date = "January18,2009" | SELECT "title" FROM "table_11589522_3" WHERE "January18,2009" = "original_air_date" | 0.081055 |
CREATE TABLE table_name_40 (points VARCHAR2, year NUMBER)
| How many points after 1956? | SELECT COUNT(points) FROM table_name_40 WHERE year > 1956 | SELECT COUNT("points") FROM "table_name_40" WHERE "year" > 1956 | 0.061523 |
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
| which patients are taking drug via ns route? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE prescriptions.drug = "NS" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "prescriptions" ON "NS" = "prescriptions"."drug" AND "demographic"."hadm_id" = "prescriptions"."hadm_id" | 0.173828 |
CREATE TABLE Posts (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
CREATE TABLE FlagTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE ReviewTaskStates (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId NUMBER)
CREATE TABLE PendingFlags (Id NUMBER, FlagTypeId NUMBER, PostId NUMBER, CreationDate TIME, CloseReasonTypeId NUMBER, CloseAsOffTopicReasonTypeId NUMBER, DuplicateOfQuestionId NUMBER, BelongsOnBaseHostAddress CLOB)
CREATE TABLE PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
CREATE TABLE CloseAsOffTopicReasonTypes (Id NUMBER, IsUniversal BOOLEAN, InputTitle CLOB, MarkdownInputGuidance CLOB, MarkdownPostOwnerGuidance CLOB, MarkdownPrivilegedUserGuidance CLOB, MarkdownConcensusDescription CLOB, CreationDate TIME, CreationModeratorId NUMBER, ApprovalDate TIME, ApprovalModeratorId NUMBER, DeactivationDate TIME, DeactivationModeratorId NUMBER)
CREATE TABLE PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId NUMBER)
CREATE TABLE PostTypes (Id NUMBER, Name CLOB)
CREATE TABLE Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount NUMBER)
CREATE TABLE ReviewTaskTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostTags (PostId NUMBER, TagId NUMBER)
CREATE TABLE PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId NUMBER)
CREATE TABLE Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
CREATE TABLE Comments (Id NUMBER, PostId NUMBER, Score NUMBER, Text CLOB, CreationDate TIME, UserDisplayName CLOB, UserId NUMBER, ContentLicense CLOB)
CREATE TABLE Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
CREATE TABLE PostHistoryTypes (Id NUMBER, Name CLOB)
CREATE TABLE SuggestedEdits (Id NUMBER, PostId NUMBER, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId NUMBER, Comment CLOB, Text CLOB, Title CLOB, Tags CLOB, RevisionGUID other)
CREATE TABLE PostHistory (Id NUMBER, PostHistoryTypeId NUMBER, PostId NUMBER, RevisionGUID other, CreationDate TIME, UserId NUMBER, UserDisplayName CLOB, Comment CLOB, Text CLOB, ContentLicense CLOB)
CREATE TABLE SuggestedEditVotes (Id NUMBER, SuggestedEditId NUMBER, UserId NUMBER, VoteTypeId NUMBER, CreationDate TIME, TargetUserId NUMBER, TargetRepChange NUMBER)
CREATE TABLE ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment CLOB)
CREATE TABLE PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
CREATE TABLE TagSynonyms (Id NUMBER, SourceTagName CLOB, TargetTagName CLOB, CreationDate TIME, OwnerUserId NUMBER, AutoRenameCount NUMBER, LastAutoRename TIME, Score NUMBER, ApprovedByUserId NUMBER, ApprovalDate TIME)
CREATE TABLE ReviewTaskResultTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostsWithDeleted (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE VoteTypes (Id NUMBER, Name CLOB)
CREATE TABLE Users (Id NUMBER, Reputation NUMBER, CreationDate TIME, DisplayName CLOB, LastAccessDate TIME, WebsiteUrl CLOB, Location CLOB, AboutMe CLOB, Views NUMBER, UpVotes NUMBER, DownVotes NUMBER, ProfileImageUrl CLOB, EmailHash CLOB, AccountId NUMBER)
CREATE TABLE CloseReasonTypes (Id NUMBER, Name CLOB, Description CLOB)
| Top reputation users in USA. | SELECT ROW_NUMBER() OVER (ORDER BY Reputation DESC) AS "#", Id AS "user_link", Reputation, Location FROM Users WHERE LOWER(Location) LIKE '%US%' OR UPPER(Location) LIKE '%us%' OR Location LIKE '%United States%' AND Reputation >= 1000 ORDER BY Reputation DESC | SELECT ROW_NUMBER() OVER (ORDER BY "Reputation" DESC) AS "#", "Id" AS "user_link", "Reputation", "Location" FROM "Users" WHERE ("Location" LIKE '%United States%' OR LOWER("Location") LIKE '%US%' OR UPPER("Location") LIKE '%us%') AND "Reputation" >= 1000 ORDER BY "Reputation" DESC | 0.273438 |
CREATE TABLE table_77074 ("Season" FLOAT, "Team 1" CLOB, "Score" CLOB, "Team 2" CLOB, "Venue" CLOB)
| Which venue was used for the game whose score was 2:3? | SELECT "Venue" FROM table_77074 WHERE "Score" = '2:3' | SELECT "Venue" FROM "table_77074" WHERE "Score" = '2:3' | 0.053711 |
CREATE TABLE table_16213 ("General election" FLOAT, "# of candidates" FLOAT, "# of seats won" FLOAT, "% of popular vote" CLOB, "Result" CLOB)
| Which general election had a pq majority and a 44.75% of the popular vote? | SELECT "General election" FROM table_16213 WHERE "Result" = 'PQ majority' AND "% of popular vote" = '44.75%' | SELECT "General election" FROM "table_16213" WHERE "% of popular vote" = '44.75%' AND "Result" = 'PQ majority' | 0.107422 |
CREATE TABLE table_57812 ("Date" CLOB, "Tournament" CLOB, "Surface" CLOB, "Opponent in the final" CLOB, "Score" CLOB)
| On what date was the surface clay with Cyril Saulnier as the opponent in the final? | SELECT "Date" FROM table_57812 WHERE "Surface" = 'clay' AND "Opponent in the final" = 'cyril saulnier' | SELECT "Date" FROM "table_57812" WHERE "Opponent in the final" = 'cyril saulnier' AND "Surface" = 'clay' | 0.101563 |
CREATE TABLE ship (flag VARCHAR2)
| Group by ships by flag, and return number of ships that have each flag. | SELECT COUNT(*), flag FROM ship GROUP BY flag | SELECT COUNT(*), "flag" FROM "ship" GROUP BY "flag" | 0.049805 |
CREATE TABLE PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId NUMBER)
CREATE TABLE Posts (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE FlagTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Users (Id NUMBER, Reputation NUMBER, CreationDate TIME, DisplayName CLOB, LastAccessDate TIME, WebsiteUrl CLOB, Location CLOB, AboutMe CLOB, Views NUMBER, UpVotes NUMBER, DownVotes NUMBER, ProfileImageUrl CLOB, EmailHash CLOB, AccountId NUMBER)
CREATE TABLE Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
CREATE TABLE PostTypes (Id NUMBER, Name CLOB)
CREATE TABLE ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
CREATE TABLE PostTags (PostId NUMBER, TagId NUMBER)
CREATE TABLE PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
CREATE TABLE PostHistoryTypes (Id NUMBER, Name CLOB)
CREATE TABLE CloseAsOffTopicReasonTypes (Id NUMBER, IsUniversal BOOLEAN, InputTitle CLOB, MarkdownInputGuidance CLOB, MarkdownPostOwnerGuidance CLOB, MarkdownPrivilegedUserGuidance CLOB, MarkdownConcensusDescription CLOB, CreationDate TIME, CreationModeratorId NUMBER, ApprovalDate TIME, ApprovalModeratorId NUMBER, DeactivationDate TIME, DeactivationModeratorId NUMBER)
CREATE TABLE SuggestedEdits (Id NUMBER, PostId NUMBER, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId NUMBER, Comment CLOB, Text CLOB, Title CLOB, Tags CLOB, RevisionGUID other)
CREATE TABLE PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
CREATE TABLE ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment CLOB)
CREATE TABLE Comments (Id NUMBER, PostId NUMBER, Score NUMBER, Text CLOB, CreationDate TIME, UserDisplayName CLOB, UserId NUMBER, ContentLicense CLOB)
CREATE TABLE PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId NUMBER)
CREATE TABLE Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
CREATE TABLE ReviewTaskResultTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount NUMBER)
CREATE TABLE SuggestedEditVotes (Id NUMBER, SuggestedEditId NUMBER, UserId NUMBER, VoteTypeId NUMBER, CreationDate TIME, TargetUserId NUMBER, TargetRepChange NUMBER)
CREATE TABLE ReviewTaskStates (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE VoteTypes (Id NUMBER, Name CLOB)
CREATE TABLE PendingFlags (Id NUMBER, FlagTypeId NUMBER, PostId NUMBER, CreationDate TIME, CloseReasonTypeId NUMBER, CloseAsOffTopicReasonTypeId NUMBER, DuplicateOfQuestionId NUMBER, BelongsOnBaseHostAddress CLOB)
CREATE TABLE CloseReasonTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE ReviewTaskTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE TagSynonyms (Id NUMBER, SourceTagName CLOB, TargetTagName CLOB, CreationDate TIME, OwnerUserId NUMBER, AutoRenameCount NUMBER, LastAutoRename TIME, Score NUMBER, ApprovedByUserId NUMBER, ApprovalDate TIME)
CREATE TABLE ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId NUMBER)
CREATE TABLE PostHistory (Id NUMBER, PostHistoryTypeId NUMBER, PostId NUMBER, RevisionGUID other, CreationDate TIME, UserId NUMBER, UserDisplayName CLOB, Comment CLOB, Text CLOB, ContentLicense CLOB)
CREATE TABLE PostsWithDeleted (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
| Probable tag creations for a specific user. | SELECT p.Id AS "post_link", t.TagName FROM (SELECT pt.TagId, MIN(p.CreationDate) AS CreationDate FROM PostTags AS pt INNER JOIN Posts AS p ON p.Id = pt.PostId GROUP BY pt.TagId) AS temp INNER JOIN PostTags AS pt ON pt.TagId = temp.TagId INNER JOIN Posts AS p ON p.Id = pt.PostId AND p.CreationDate = temp.CreationDate INNER JOIN Tags AS t ON temp.TagId = t.Id WHERE p.OwnerUserId = '##UserId:int##' | WITH "temp" AS (SELECT "pt"."TagId", MIN("p"."CreationDate") AS "CreationDate" FROM "PostTags" "pt" JOIN "Posts" "p" ON "p"."Id" = "pt"."PostId" GROUP BY "pt"."TagId") SELECT "p"."Id" AS "post_link", "t"."TagName" FROM "temp" "temp" JOIN "PostTags" "pt" ON "pt"."TagId" = "temp"."TagId" JOIN "Tags" "t" ON "t"."Id" = "temp"."TagId" JOIN "Posts" "p" ON "p"."CreationDate" = "temp"."CreationDate" AND "p"."Id" = "pt"."PostId" AND "p"."OwnerUserId" = '##UserId:int##' | 0.453125 |
CREATE TABLE Customers (customer_id NUMBER, customer_name VARCHAR2, customer_details VARCHAR2)
CREATE TABLE Order_Items (order_item_id NUMBER, product_id NUMBER, order_id NUMBER, order_item_status VARCHAR2, order_item_details VARCHAR2)
CREATE TABLE Invoices (invoice_number NUMBER, invoice_date DATETIME, invoice_details VARCHAR2)
CREATE TABLE Shipments (shipment_id NUMBER, order_id NUMBER, invoice_number NUMBER, shipment_tracking_number VARCHAR2, shipment_date DATETIME, other_shipment_details VARCHAR2)
CREATE TABLE Products (product_id NUMBER, product_name VARCHAR2, product_details VARCHAR2)
CREATE TABLE Orders (order_id NUMBER, customer_id NUMBER, order_status VARCHAR2, date_order_placed DATETIME, order_details VARCHAR2)
CREATE TABLE Shipment_Items (shipment_id NUMBER, order_item_id NUMBER)
| Compare the number of names of each product by a bar chart. | SELECT product_name, COUNT(product_name) FROM Orders AS T1 JOIN Order_Items AS T2 JOIN Products AS T3 ON T1.order_id = T2.order_id AND T2.product_id = T3.product_id GROUP BY product_name | SELECT "product_name", COUNT("product_name") FROM "Orders" "T1" CROSS JOIN "Products" "T3" JOIN "Order_Items" "T2" ON "T1"."order_id" = "T2"."order_id" AND "T2"."product_id" = "T3"."product_id" GROUP BY "product_name" | 0.211914 |
CREATE TABLE table_72558 ("Rank" CLOB, "Common" CLOB, "Population" FLOAT, "Area ( km 2 ) " CLOB, "Density ( inhabitants/km 2 ) " CLOB, "Altitude ( mslm ) " FLOAT)
| Which common has an area (km2) of 103.02? | SELECT "Common" FROM table_72558 WHERE "Area (km 2 )" = '103.02' | SELECT "Common" FROM "table_72558" WHERE "Area (km 2 )" = '103.02' | 0.064453 |
CREATE TABLE table_3129 ("No." FLOAT, "Date" CLOB, "Tournament" CLOB, "Winning score" CLOB, "To par" CLOB, "Margin of victory" CLOB, "Runner ( s ) -up" CLOB)
| What were the shots below par when the winning score was 67-64-63-71-66=331? | SELECT "To par" FROM table_3129 WHERE "Winning score" = '67-64-63-71-66=331' | SELECT "To par" FROM "table_3129" WHERE "Winning score" = '67-64-63-71-66=331' | 0.076172 |
CREATE TABLE table_name_86 (gold VARCHAR2, total VARCHAR2, bronze VARCHAR2)
| What is the number for gold where there were total 1, and bronze 1? | SELECT COUNT(gold) FROM table_name_86 WHERE total = 1 AND bronze = 1 | SELECT COUNT("gold") FROM "table_name_86" WHERE "bronze" = 1 AND "total" = 1 | 0.074219 |
CREATE TABLE table_name_99 (time NUMBER, name VARCHAR2, lane VARCHAR2)
| Which average time has eithan urbach as a name with a lane bigger than 2? | SELECT AVG(time) FROM table_name_99 WHERE name = "eithan urbach" AND lane > 2 | SELECT AVG("time") FROM "table_name_99" WHERE "eithan urbach" = "name" AND "lane" > 2 | 0.083008 |
CREATE TABLE table_name_19 (away_team VARCHAR2, home_team VARCHAR2)
| What was the away teams score when they played Carlton? | SELECT away_team AS score FROM table_name_19 WHERE home_team = "carlton" | SELECT "away_team" AS "score" FROM "table_name_19" WHERE "carlton" = "home_team" | 0.078125 |
CREATE TABLE table_name_97 (score VARCHAR2, save VARCHAR2)
| What is the score of the match with a save postponed rescheduled for June 24? | SELECT score FROM table_name_97 WHERE save = "postponed rescheduled for june 24" | SELECT "score" FROM "table_name_97" WHERE "postponed rescheduled for june 24" = "save" | 0.083984 |
CREATE TABLE table_2679061_9 (nationality VARCHAR2, pick__number VARCHAR2)
| What was the nationality of player picked no. 179? | SELECT nationality FROM table_2679061_9 WHERE pick__number = 179 | SELECT "nationality" FROM "table_2679061_9" WHERE "pick__number" = 179 | 0.068359 |
CREATE TABLE table_10488 ("Retail name" CLOB, "Chipset based on" CLOB, "Digital/analog signal" CLOB, "AVIVO" CLOB, "Available interface" CLOB)
| What is the Retail name with an Available interface with pci express 2.0? | SELECT "Retail name" FROM table_10488 WHERE "Available interface" = 'pci express 2.0' | SELECT "Retail name" FROM "table_10488" WHERE "Available interface" = 'pci express 2.0' | 0.084961 |
CREATE TABLE table_name_89 (marks VARCHAR2, season VARCHAR2)
| How many marks did he get in 2005? | SELECT marks FROM table_name_89 WHERE season = "2005" | SELECT "marks" FROM "table_name_89" WHERE "2005" = "season" | 0.057617 |
CREATE TABLE table_10754 ("Species" CLOB, "Strain" CLOB, "Type" CLOB, "Base Pairs" CLOB, "Genes" FLOAT, "Reference" CLOB)
| what is the average genes when the reference is 2009 and the strain is rku-1? | SELECT AVG("Genes") FROM table_10754 WHERE "Reference" = '2009' AND "Strain" = 'rku-1' | SELECT AVG("Genes") FROM "table_10754" WHERE "Reference" = '2009' AND "Strain" = 'rku-1' | 0.085938 |
CREATE TABLE table_name_80 (date VARCHAR2, tie_no VARCHAR2)
| on what date was tie number 4? | SELECT date FROM table_name_80 WHERE tie_no = "4" | SELECT "date" FROM "table_name_80" WHERE "4" = "tie_no" | 0.053711 |
CREATE TABLE table_45714 ("Date" CLOB, "Visitor" CLOB, "Score" CLOB, "Home" CLOB, "Record" CLOB)
| What is the Record for April 13? | SELECT "Record" FROM table_45714 WHERE "Date" = 'april 13' | SELECT "Record" FROM "table_45714" WHERE "Date" = 'april 13' | 0.058594 |
CREATE TABLE table_name_82 (score VARCHAR2, player VARCHAR2)
| What Seve Ballesteros's score? | SELECT score FROM table_name_82 WHERE player = "seve ballesteros" | SELECT "score" FROM "table_name_82" WHERE "player" = "seve ballesteros" | 0.069336 |
CREATE TABLE CloseReasonTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Comments (Id NUMBER, PostId NUMBER, Score NUMBER, Text CLOB, CreationDate TIME, UserDisplayName CLOB, UserId NUMBER, ContentLicense CLOB)
CREATE TABLE PostHistory (Id NUMBER, PostHistoryTypeId NUMBER, PostId NUMBER, RevisionGUID other, CreationDate TIME, UserId NUMBER, UserDisplayName CLOB, Comment CLOB, Text CLOB, ContentLicense CLOB)
CREATE TABLE ReviewTaskStates (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostHistoryTypes (Id NUMBER, Name CLOB)
CREATE TABLE ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId NUMBER)
CREATE TABLE PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId NUMBER)
CREATE TABLE TagSynonyms (Id NUMBER, SourceTagName CLOB, TargetTagName CLOB, CreationDate TIME, OwnerUserId NUMBER, AutoRenameCount NUMBER, LastAutoRename TIME, Score NUMBER, ApprovedByUserId NUMBER, ApprovalDate TIME)
CREATE TABLE PostTags (PostId NUMBER, TagId NUMBER)
CREATE TABLE PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId NUMBER)
CREATE TABLE ReviewTaskTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
CREATE TABLE SuggestedEditVotes (Id NUMBER, SuggestedEditId NUMBER, UserId NUMBER, VoteTypeId NUMBER, CreationDate TIME, TargetUserId NUMBER, TargetRepChange NUMBER)
CREATE TABLE VoteTypes (Id NUMBER, Name CLOB)
CREATE TABLE Posts (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE PostTypes (Id NUMBER, Name CLOB)
CREATE TABLE Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount NUMBER)
CREATE TABLE ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
CREATE TABLE Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
CREATE TABLE SuggestedEdits (Id NUMBER, PostId NUMBER, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId NUMBER, Comment CLOB, Text CLOB, Title CLOB, Tags CLOB, RevisionGUID other)
CREATE TABLE FlagTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
CREATE TABLE PostsWithDeleted (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE CloseAsOffTopicReasonTypes (Id NUMBER, IsUniversal BOOLEAN, InputTitle CLOB, MarkdownInputGuidance CLOB, MarkdownPostOwnerGuidance CLOB, MarkdownPrivilegedUserGuidance CLOB, MarkdownConcensusDescription CLOB, CreationDate TIME, CreationModeratorId NUMBER, ApprovalDate TIME, ApprovalModeratorId NUMBER, DeactivationDate TIME, DeactivationModeratorId NUMBER)
CREATE TABLE Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
CREATE TABLE ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment CLOB)
CREATE TABLE Users (Id NUMBER, Reputation NUMBER, CreationDate TIME, DisplayName CLOB, LastAccessDate TIME, WebsiteUrl CLOB, Location CLOB, AboutMe CLOB, Views NUMBER, UpVotes NUMBER, DownVotes NUMBER, ProfileImageUrl CLOB, EmailHash CLOB, AccountId NUMBER)
CREATE TABLE ReviewTaskResultTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PendingFlags (Id NUMBER, FlagTypeId NUMBER, PostId NUMBER, CreationDate TIME, CloseReasonTypeId NUMBER, CloseAsOffTopicReasonTypeId NUMBER, DuplicateOfQuestionId NUMBER, BelongsOnBaseHostAddress CLOB)
| Number of questions asked by a group of users in 30 days. | WITH Questions AS (SELECT Id, OwnerUserId, Score, CreationDate FROM Posts WHERE OwnerUserId IN (SELECT VALUE FROM STRING_SPLIT('##UserIDs:string##', ','))) SELECT q.Id AS "post_link", q.OwnerUserId AS "user_link", q.Score, q.CreationDate, COUNT(*) AS "# of Qs in 30 days" FROM Questions AS q INNER JOIN Questions AS q2 ON DATEDIFF(DAY, q2.CreationDate, CreationDate) BETWEEN 0 AND 30 GROUP BY q.Id, q.OwnerUserId, q.Score, q.CreationDate ORDER BY q.CreationDate DESC | WITH "_u_0" AS (SELECT "VALUE" FROM STRING_SPLIT('##UserIDs:string##', ',') GROUP BY "VALUE"), "Questions" AS (SELECT "Id", "OwnerUserId", "Score", "CreationDate" FROM "Posts" LEFT JOIN "_u_0" "_u_0" ON "OwnerUserId" = "_u_0"."" WHERE NOT "_u_0"."" IS NULL) SELECT "q"."Id" AS "post_link", "q"."OwnerUserId" AS "user_link", "q"."Score", "q"."CreationDate", COUNT(*) AS "# of Qs in 30 days" FROM "Questions" "q" JOIN "Questions" "q2" ON DATEDIFF(CAST("DAY" AS DATETIME), CAST("q2"."CreationDate" AS DATETIME), CREATIONDATE) <= 30 AND DATEDIFF(CAST("DAY" AS DATETIME), CAST("q2"."CreationDate" AS DATETIME), CREATIONDATE) >= 0 GROUP BY "q"."Id", "q"."OwnerUserId", "q"."Score", "q"."CreationDate" ORDER BY "q"."CreationDate" DESC | 0.709961 |
CREATE TABLE table_64151 ("Date" CLOB, "Label" CLOB, "Format" CLOB, "Country" CLOB, "Catalog" CLOB)
| What Catalog came out on August 20, 1965? | SELECT "Catalog" FROM table_64151 WHERE "Date" = 'august 20, 1965' | SELECT "Catalog" FROM "table_64151" WHERE "Date" = 'august 20, 1965' | 0.066406 |
CREATE TABLE table_3972 ("Winners" CLOB, "Match points" CLOB, "Aggregate score" CLOB, "Points margin" FLOAT, "Losers" CLOB)
| What was the aggregate score for the match won by Brive? | SELECT "Aggregate score" FROM table_3972 WHERE "Winners" = 'Brive' | SELECT "Aggregate score" FROM "table_3972" WHERE "Winners" = 'Brive' | 0.066406 |
CREATE TABLE paper (paperid NUMBER, title VARCHAR2, venueid NUMBER, year NUMBER, numciting NUMBER, numcitedby NUMBER, journalid NUMBER)
CREATE TABLE keyphrase (keyphraseid NUMBER, keyphrasename VARCHAR2)
CREATE TABLE journal (journalid NUMBER, journalname VARCHAR2)
CREATE TABLE cite (citingpaperid NUMBER, citedpaperid NUMBER)
CREATE TABLE writes (paperid NUMBER, authorid NUMBER)
CREATE TABLE paperfield (fieldid NUMBER, paperid NUMBER)
CREATE TABLE venue (venueid NUMBER, venuename VARCHAR2)
CREATE TABLE dataset (datasetid NUMBER, datasetname VARCHAR2)
CREATE TABLE paperkeyphrase (paperid NUMBER, keyphraseid NUMBER)
CREATE TABLE author (authorid NUMBER, authorname VARCHAR2)
CREATE TABLE paperdataset (paperid NUMBER, datasetid NUMBER)
CREATE TABLE field (fieldid NUMBER)
| papers by Li Dong about Semantic Parsing | SELECT DISTINCT author.authorid, paper.paperid FROM author, keyphrase, paper, paperkeyphrase, writes WHERE author.authorname = 'Li Dong' AND keyphrase.keyphrasename = 'Semantic Parsing' AND paperkeyphrase.keyphraseid = keyphrase.keyphraseid AND paper.paperid = paperkeyphrase.paperid AND writes.authorid = author.authorid AND writes.paperid = paper.paperid | SELECT DISTINCT "author"."authorid", "paper"."paperid" FROM "author" JOIN "writes" ON "author"."authorid" = "writes"."authorid" JOIN "paper" ON "paper"."paperid" = "writes"."paperid" JOIN "paperkeyphrase" ON "paper"."paperid" = "paperkeyphrase"."paperid" JOIN "keyphrase" ON "keyphrase"."keyphraseid" = "paperkeyphrase"."keyphraseid" AND "keyphrase"."keyphrasename" = 'Semantic Parsing' WHERE "author"."authorname" = 'Li Dong' | 0.416016 |
CREATE TABLE countries (COUNTRY_ID VARCHAR2, COUNTRY_NAME VARCHAR2, REGION_ID NUMBER)
CREATE TABLE departments (DEPARTMENT_ID NUMBER, DEPARTMENT_NAME VARCHAR2, MANAGER_ID NUMBER, LOCATION_ID NUMBER)
CREATE TABLE locations (LOCATION_ID NUMBER, STREET_ADDRESS VARCHAR2, POSTAL_CODE VARCHAR2, CITY VARCHAR2, STATE_PROVINCE VARCHAR2, COUNTRY_ID VARCHAR2)
CREATE TABLE employees (EMPLOYEE_ID NUMBER, FIRST_NAME VARCHAR2, LAST_NAME VARCHAR2, EMAIL VARCHAR2, PHONE_NUMBER VARCHAR2, HIRE_DATE DATE, JOB_ID VARCHAR2, SALARY NUMBER, COMMISSION_PCT NUMBER, MANAGER_ID NUMBER, DEPARTMENT_ID NUMBER)
CREATE TABLE regions (REGION_ID NUMBER, REGION_NAME VARCHAR2)
CREATE TABLE job_history (EMPLOYEE_ID NUMBER, START_DATE DATE, END_DATE DATE, JOB_ID VARCHAR2, DEPARTMENT_ID NUMBER)
CREATE TABLE jobs (JOB_ID VARCHAR2, JOB_TITLE VARCHAR2, MIN_SALARY NUMBER, MAX_SALARY NUMBER)
| For those employees who do not work in departments with managers that have ids between 100 and 200, show me about the distribution of email and employee_id in a bar chart. | SELECT EMAIL, EMPLOYEE_ID FROM employees WHERE NOT DEPARTMENT_ID IN (SELECT DEPARTMENT_ID FROM departments WHERE MANAGER_ID BETWEEN 100 AND 200) | SELECT "EMAIL", "EMPLOYEE_ID" FROM "employees" WHERE NOT "DEPARTMENT_ID" IN (SELECT "DEPARTMENT_ID" FROM "departments" WHERE "MANAGER_ID" <= 200 AND "MANAGER_ID" >= 100) | 0.165039 |
CREATE TABLE table_name_57 (livery VARCHAR2, number VARCHAR2)
| What is the Livery when the Number is 31468? | SELECT livery FROM table_name_57 WHERE number = 31468 | SELECT "livery" FROM "table_name_57" WHERE "number" = 31468 | 0.057617 |
CREATE TABLE table_16868 ("Player" CLOB, "No." FLOAT, "Nationality" CLOB, "Position" CLOB, "Years for Jazz" CLOB, "School/Club Team" CLOB)
| What's Jim Farmer's nationality? | SELECT "Nationality" FROM table_16868 WHERE "Player" = 'Jim Farmer' | SELECT "Nationality" FROM "table_16868" WHERE "Player" = 'Jim Farmer' | 0.067383 |
CREATE TABLE table_44539 ("Place" CLOB, "Player" CLOB, "Country" CLOB, "Score" CLOB, "To par" CLOB)
| What is Country, when Player is Billy Mayfair? | SELECT "Country" FROM table_44539 WHERE "Player" = 'billy mayfair' | SELECT "Country" FROM "table_44539" WHERE "Player" = 'billy mayfair' | 0.066406 |
CREATE TABLE table_58829 ("Year" FLOAT, "Artist" CLOB, "Title" CLOB, "Format" CLOB, "Type" CLOB)
| What is the title of the Misfits with a CD format? | SELECT "Title" FROM table_58829 WHERE "Format" = 'cd' AND "Artist" = 'misfits' | SELECT "Title" FROM "table_58829" WHERE "Artist" = 'misfits' AND "Format" = 'cd' | 0.078125 |
CREATE TABLE table_38171 ("Week" FLOAT, "Date" CLOB, "Opponent" CLOB, "Result" CLOB, "Attendance" FLOAT)
| Who is the opponent for the game that occurred after week 13? | SELECT "Opponent" FROM table_38171 WHERE "Week" > '13' | SELECT "Opponent" FROM "table_38171" WHERE "Week" > '13' | 0.054688 |
CREATE TABLE Activity (actid NUMBER, activity_name VARCHAR2)
CREATE TABLE Participates_in (stuid NUMBER, actid NUMBER)
CREATE TABLE Faculty_Participates_in (FacID NUMBER, actid NUMBER)
CREATE TABLE Faculty (FacID NUMBER, Lname VARCHAR2, Fname VARCHAR2, Rank VARCHAR2, Sex VARCHAR2, Phone NUMBER, Room VARCHAR2, Building VARCHAR2)
CREATE TABLE Student (StuID NUMBER, LName VARCHAR2, Fname VARCHAR2, Age NUMBER, Sex VARCHAR2, Major NUMBER, Advisor NUMBER, city_code VARCHAR2)
| Show the number of faculty members for each rank in a bar chart, I want to order by the y-axis from low to high. | SELECT Rank, COUNT(Rank) FROM Faculty GROUP BY Rank ORDER BY COUNT(Rank) | SELECT "Rank", COUNT("Rank") FROM "Faculty" GROUP BY "Rank" ORDER BY COUNT("Rank") | 0.080078 |
CREATE TABLE code_description (code VARCHAR2, description CLOB)
CREATE TABLE dual_carrier (main_airline VARCHAR2, low_flight_number NUMBER, high_flight_number NUMBER, dual_airline VARCHAR2, service_name CLOB)
CREATE TABLE airport (airport_code VARCHAR2, airport_name CLOB, airport_location CLOB, state_code VARCHAR2, country_name VARCHAR2, time_zone_code VARCHAR2, minimum_connect_time NUMBER)
CREATE TABLE time_interval (period CLOB, begin_time NUMBER, end_time NUMBER)
CREATE TABLE flight_fare (flight_id NUMBER, fare_id NUMBER)
CREATE TABLE flight (aircraft_code_sequence CLOB, airline_code VARCHAR2, airline_flight CLOB, arrival_time NUMBER, connections NUMBER, departure_time NUMBER, dual_carrier CLOB, flight_days CLOB, flight_id NUMBER, flight_number NUMBER, from_airport VARCHAR2, meal_code CLOB, stops NUMBER, time_elapsed NUMBER, to_airport VARCHAR2)
CREATE TABLE state (state_code CLOB, state_name CLOB, country_name CLOB)
CREATE TABLE city (city_code VARCHAR2, city_name VARCHAR2, state_code VARCHAR2, country_name VARCHAR2, time_zone_code VARCHAR2)
CREATE TABLE aircraft (aircraft_code VARCHAR2, aircraft_description VARCHAR2, manufacturer VARCHAR2, basic_type VARCHAR2, engines NUMBER, propulsion VARCHAR2, wide_body VARCHAR2, wing_span NUMBER, length NUMBER, weight NUMBER, capacity NUMBER, pay_load NUMBER, cruising_speed NUMBER, range_miles NUMBER, pressurized VARCHAR2)
CREATE TABLE airport_service (city_code VARCHAR2, airport_code VARCHAR2, miles_distant NUMBER, direction VARCHAR2, minutes_distant NUMBER)
CREATE TABLE flight_stop (flight_id NUMBER, stop_number NUMBER, stop_days CLOB, stop_airport CLOB, arrival_time NUMBER, arrival_airline CLOB, arrival_flight_number NUMBER, departure_time NUMBER, departure_airline CLOB, departure_flight_number NUMBER, stop_time NUMBER)
CREATE TABLE equipment_sequence (aircraft_code_sequence VARCHAR2, aircraft_code VARCHAR2)
CREATE TABLE month (month_number NUMBER, month_name CLOB)
CREATE TABLE flight_leg (flight_id NUMBER, leg_number NUMBER, leg_flight NUMBER)
CREATE TABLE restriction (restriction_code CLOB, advance_purchase NUMBER, stopovers CLOB, saturday_stay_required CLOB, minimum_stay NUMBER, maximum_stay NUMBER, application CLOB, no_discounts CLOB)
CREATE TABLE fare_basis (fare_basis_code CLOB, booking_class CLOB, class_type CLOB, premium CLOB, economy CLOB, discounted CLOB, night CLOB, season CLOB, basis_days CLOB)
CREATE TABLE food_service (meal_code CLOB, meal_number NUMBER, compartment CLOB, meal_description VARCHAR2)
CREATE TABLE compartment_class (compartment VARCHAR2, class_type VARCHAR2)
CREATE TABLE date_day (month_number NUMBER, day_number NUMBER, year NUMBER, day_name VARCHAR2)
CREATE TABLE class_of_service (booking_class VARCHAR2, rank NUMBER, class_description CLOB)
CREATE TABLE days (days_code VARCHAR2, day_name VARCHAR2)
CREATE TABLE fare (fare_id NUMBER, from_airport VARCHAR2, to_airport VARCHAR2, fare_basis_code CLOB, fare_airline CLOB, restriction_code CLOB, one_direction_cost NUMBER, round_trip_cost NUMBER, round_trip_required VARCHAR2)
CREATE TABLE airline (airline_code VARCHAR2, airline_name CLOB, note CLOB)
CREATE TABLE time_zone (time_zone_code CLOB, time_zone_name CLOB, hours_from_gmt NUMBER)
CREATE TABLE ground_service (city_code CLOB, airport_code CLOB, transport_type CLOB, ground_fare NUMBER)
| find the cheapest one way fare from BOSTON to OAKLAND | SELECT DISTINCT fare.fare_id FROM airport_service AS AIRPORT_SERVICE_0, airport_service AS AIRPORT_SERVICE_1, city AS CITY_0, city AS CITY_1, fare, flight, flight_fare WHERE CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'BOSTON' AND CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'OAKLAND' AND fare.one_direction_cost = (SELECT MIN(FAREalias1.one_direction_cost) FROM airport_service AS AIRPORT_SERVICEalias2, airport_service AS AIRPORT_SERVICEalias3, city AS CITYalias2, city AS CITYalias3, fare AS FAREalias1, flight AS FLIGHTalias1, flight_fare AS FLIGHT_FAREalias1 WHERE CITYalias2.city_code = AIRPORT_SERVICEalias2.city_code AND CITYalias2.city_name = 'BOSTON' AND CITYalias3.city_code = AIRPORT_SERVICEalias3.city_code AND CITYalias3.city_name = 'OAKLAND' AND FAREalias1.round_trip_required = 'NO' AND FLIGHT_FAREalias1.fare_id = FAREalias1.fare_id AND FLIGHTalias1.flight_id = FLIGHT_FAREalias1.flight_id AND FLIGHTalias1.from_airport = AIRPORT_SERVICEalias2.airport_code AND FLIGHTalias1.to_airport = AIRPORT_SERVICEalias3.airport_code) AND flight_fare.fare_id = fare.fare_id AND flight.flight_id = flight_fare.flight_id AND flight.from_airport = AIRPORT_SERVICE_0.airport_code AND flight.to_airport = AIRPORT_SERVICE_1.airport_code | WITH "_u_0" AS (SELECT MIN("FAREalias1"."one_direction_cost") FROM "airport_service" "AIRPORT_SERVICEalias2" JOIN "city" "CITYalias2" ON "AIRPORT_SERVICEalias2"."city_code" = "CITYalias2"."city_code" AND "CITYalias2"."city_name" = 'BOSTON' JOIN "flight" "FLIGHTalias1" ON "AIRPORT_SERVICEalias2"."airport_code" = "FLIGHTalias1"."from_airport" JOIN "airport_service" "AIRPORT_SERVICEalias3" ON "AIRPORT_SERVICEalias3"."airport_code" = "FLIGHTalias1"."to_airport" JOIN "flight_fare" "FLIGHT_FAREalias1" ON "FLIGHT_FAREalias1"."flight_id" = "FLIGHTalias1"."flight_id" JOIN "city" "CITYalias3" ON "AIRPORT_SERVICEalias3"."city_code" = "CITYalias3"."city_code" AND "CITYalias3"."city_name" = 'OAKLAND' JOIN "fare" "FAREalias1" ON "FAREalias1"."fare_id" = "FLIGHT_FAREalias1"."fare_id" AND "FAREalias1"."round_trip_required" = 'NO') SELECT DISTINCT "fare"."fare_id" FROM "airport_service" "AIRPORT_SERVICE_0" JOIN "city" "CITY_0" ON "AIRPORT_SERVICE_0"."city_code" = "CITY_0"."city_code" AND "CITY_0"."city_name" = 'BOSTON' JOIN "flight" ON "AIRPORT_SERVICE_0"."airport_code" = "flight"."from_airport" JOIN "airport_service" "AIRPORT_SERVICE_1" ON "AIRPORT_SERVICE_1"."airport_code" = "flight"."to_airport" JOIN "flight_fare" ON "flight"."flight_id" = "flight_fare"."flight_id" JOIN "city" "CITY_1" ON "AIRPORT_SERVICE_1"."city_code" = "CITY_1"."city_code" AND "CITY_1"."city_name" = 'OAKLAND' JOIN "fare" ON "fare"."fare_id" = "flight_fare"."fare_id" JOIN "_u_0" "_u_0" ON "_u_0"."" = "fare"."one_direction_cost" | 1.47168 |
CREATE TABLE table_24967 ("No." FLOAT, "Season" CLOB, "Championship" FLOAT, "No. of teams" FLOAT, "Start ( reg. season ) " CLOB, "Finish ( incl. championship ) " CLOB, "Top record" CLOB, "National Champion" CLOB)
| When is the finish of the season that started on September 25? | SELECT "Finish (incl. championship)" FROM table_24967 WHERE "Start (reg. season)" = 'September 25' | SELECT "Finish (incl. championship)" FROM "table_24967" WHERE "Start (reg. season)" = 'September 25' | 0.097656 |
CREATE TABLE table_58951 ("Week" FLOAT, "Date" CLOB, "Opponent" CLOB, "Result" CLOB, "Game site" CLOB, "Record" CLOB, "Attendance" FLOAT)
| What was the record in the game where the opponent wasd the atlanta falcons? | SELECT "Record" FROM table_58951 WHERE "Opponent" = 'atlanta falcons' | SELECT "Record" FROM "table_58951" WHERE "Opponent" = 'atlanta falcons' | 0.069336 |
CREATE TABLE video_games (gameid NUMBER, gname CLOB, gtype CLOB)
CREATE TABLE student (stuid NUMBER, lname CLOB, fname CLOB, age NUMBER, sex CLOB, major NUMBER, advisor NUMBER, city_code CLOB)
CREATE TABLE plays_games (stuid NUMBER, gameid NUMBER, hours_played NUMBER)
CREATE TABLE sportsinfo (stuid NUMBER, sportname CLOB, hoursperweek NUMBER, gamesplayed NUMBER, onscholarship CLOB)
| How many video games have type Massively multiplayer online game? | SELECT COUNT(*) FROM video_games WHERE gtype = "Massively multiplayer online game" | SELECT COUNT(*) FROM "video_games" WHERE "Massively multiplayer online game" = "gtype" | 0.083984 |
CREATE TABLE book_club (book_club_id NUMBER, Year NUMBER, Author_or_Editor CLOB, Book_Title CLOB, Publisher CLOB, Category CLOB, Result CLOB)
CREATE TABLE culture_company (Company_name CLOB, Type CLOB, Incorporated_in CLOB, Group_Equity_Shareholding FLOAT, book_club_id CLOB, movie_id CLOB)
CREATE TABLE movie (movie_id NUMBER, Title CLOB, Year NUMBER, Director CLOB, Budget_million FLOAT, Gross_worldwide NUMBER)
| What is the number of movies for each year, ordered by budget in millions? Visualize in a bar chart. | SELECT Year, COUNT(Year) FROM movie GROUP BY Year ORDER BY Budget_million | SELECT "Year", COUNT("Year") FROM "movie" GROUP BY "Year" ORDER BY "Budget_million" | 0.081055 |
CREATE TABLE table_13405 ("Year" FLOAT, "Champion ( average in final ) " CLOB, "Legs" CLOB, "Runner-up ( average in final ) " CLOB, "Sponsor" CLOB, "Prize Fund" CLOB, "Champion" CLOB, "Runner-up" CLOB, "Venue" CLOB)
| what is the venue when the runner-up is 20,000, the champion (average in final) is phil taylor (109.35)? | SELECT "Venue" FROM table_13405 WHERE "Runner-up" = '£20,000' AND "Champion (average in final)" = 'phil taylor (109.35)' | SELECT "Venue" FROM "table_13405" WHERE "Champion (average in final)" = 'phil taylor (109.35)' AND "Runner-up" = '£20,000' | 0.119141 |
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